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So hello everybody, welcome to today's meeting of Medical Doctors for COVID Ethics International.
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0:00:10 --> 0:00:[privacy contact redaction]ephen Frost over three years ago with a desire to pursue
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truth, ethics, justice, freedom and health.
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0:00:19 --> 0:00:[privacy contact redaction] government and power over the years and has been a whistleblower
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His medical specialty is radiology.
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I'm Charles Covess, the moderator of this group.
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I'm Australasian passion provocateur.
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0:00:30 --> 0:00:[privacy contact redaction]e in these meetings.
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0:00:33 --> 0:00:[privacy contact redaction]iced law for 20 years before changing career 31 years ago.
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0:00:38 --> 0:00:[privacy contact redaction] 13 years, I've helped parents and lawyers to strategize remedies for vaccine
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damage and damage from bad medical advice.
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The numbers now show clearly that it is bad medical advice that is the number one cause
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of death in the USA.
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I don't know what it is in Australia where I'm located.
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I'm also the CEO of an industrial hemp company.
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We comprise lots of professions here and we're from all around the world.
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0:01:10 --> 0:01:[privacy contact redaction] time here, welcome and feel free to introduce yourself on the chat
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and where you're from.
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Many of us thought that vaccines were okay.
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Now many of us proudly say, yes, we are passionate anti-vaxxers and I number myself among those,
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0:01:24 --> 0:01:[privacy contact redaction]en are vaccinated.
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0:01:28 --> 0:01:[privacy contact redaction]ralia, UK, America, very similar.
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When I was a kid, I only got three or four vaccines in the first four or five years of
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0:01:37 --> 0:01:[privacy contact redaction]ralia.
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0:01:40 --> 0:01:[privacy contact redaction] a no jab, no pay, no play principle.
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If you don't give the jab to your children, vaccines to your children, then you give no
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government benefits and they can't play in kindergarten.
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The number of vaccines that a child has to have injected into them in Australia is 43
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0:02:07 --> 0:02:[privacy contact redaction] four years of life.
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43.
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0:02:11 --> 0:02:[privacy contact redaction] been done on that mad regime.
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Those 43 antigens are made up of [privacy contact redaction]en with amazing
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frequency.
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0:02:27 --> 0:02:[privacy contact redaction] or you have a radio or TV show or you've written
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a book, put the links into the chat so we can follow you, promote you and find you.
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I'm on TNT radio.
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0:02:36 --> 0:02:[privacy contact redaction] where there's no political correctness.
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There's no censorship.
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There's no wokeness.
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0:02:45 --> 0:02:[privacy contact redaction]and we're in the middle of World War III and that the medical science
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battle is only one of [privacy contact redaction] World War.
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There's no time to be tired.
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We are some four years into what I consider will be a seven year war.
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We've got three more years to go, at least.
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Get ready for the fight.
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0:03:04 --> 0:03:[privacy contact redaction]and the development of science and science is never settled.
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This meeting runs for two and a half hours after which for those with the time, Tom Rodman
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runs a video telegram meeting.
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Tom puts the links into the chat if you're able to join.
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0:03:18 --> 0:03:[privacy contact redaction] presenter today, Andrew Paquette, for as long as Andrew wishes
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to speak.
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0:03:23 --> 0:03:[privacy contact redaction] Q&A.
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0:03:25 --> 0:03:[privacy contact redaction], by long established tradition, asks the first questions for 15 minutes.
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This is a free speech environment with appropriate moderating.
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0:03:34 --> 0:03:[privacy contact redaction]and that free speech is free speech except for ad hominem attacks.
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0:03:39 --> 0:03:[privacy contact redaction]e.
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0:03:41 --> 0:03:[privacy contact redaction]e and you're participating, you run a big risk of being removed from the
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meeting.
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If you're offended by anything, be offended.
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0:03:51 --> 0:03:[privacy contact redaction]ed.
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0:03:53 --> 0:03:[privacy contact redaction]ry that requires nobody to say anything that may offend another.
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0:03:58 --> 0:04:[privacy contact redaction]ive of love, not fear.
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Fear is the opposite of love.
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Fear squashes you.
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Love, on the other hand, expands you.
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Fear imprisons you.
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We're all about freedom here.
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So you come to these meetings to be reminded to not have your life driven by fear.
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0:04:15 --> 0:04:[privacy contact redaction] talk fests.
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0:04:17 --> 0:04:[privacy contact redaction]ivities and actions and initiatives have been generated from linkages
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made by attendees in these meetings.
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0:04:26 --> 0:04:[privacy contact redaction] or links or resources that will help people put the
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details into the chat, the meeting is recorded and is uploaded onto the Rumble channel.
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And now a quick reminder about Reiner Fulmick in the German jail in a corrupt German legal
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process.
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Celia Farber, one of our presenters in her Substruct this morning, shared the news of
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0:04:52 --> 0:04:[privacy contact redaction]em is in the case of a 14-year-old girl who was raped
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by nine men.
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It's extraordinary.
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And Reiner Fulmick is in the hands of that same corrupt German system.
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And we need to speak out about it.
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0:05:09 --> 0:05:[privacy contact redaction]art of each of these meetings and in my TNT radio program.
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We need to put pressure on the German government, just like ongoing pressure was put on the
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US government, UK government, Australian government about the case of Julian Assange.
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And it's worth noting at the start of this meeting that Julian Assange is now no longer
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in prison in the UK.
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0:05:36 --> 0:05:[privacy contact redaction]ea deal.
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0:05:38 --> 0:05:[privacy contact redaction] presenter, Andrew Paquette.
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And we thank you, Andrew, for giving us your time, wisdom and insights.
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His detailed CV is on the show notes, but we'll ask Jerome Corsi if you would kindly
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0:05:49 --> 0:05:[privacy contact redaction]ew presents to us.
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And thank you, Stephen Frost, again, for creating this group and for organizing Andrew to be
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with us today.
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Over to you, Jerome.
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Well, thank you very much, Charles.
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It's a real pleasure and honor to bring Andrew onto this forum.
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0:06:06 --> 0:06:[privacy contact redaction]ew, I just got word today that the article I've written on Andrew's work identifying
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0:06:13 --> 0:06:[privacy contact redaction]ate Voters Database will be published in American Thinker.
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So very next week, we'll probably have an article on the research you're going to preview
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today. Now, Andrew's got a very interesting background.
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He has a PhD from King's College London, education, and his dissertation was on
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spirit, spatial visualization, visualization and professional competence, the development
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0:06:46 --> 0:06:[privacy contact redaction]ew's specialty is really computer art and computer games.
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Very advanced in terms of his digital capabilities.
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And he's got a wide background, including working in comic books with comic book companies
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like Marvel and DC, Harris Comics.
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He also does produce cartoon training manuals for the U.S.
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Army. He's currently doing that right now.
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And he's had a series of professional appointments and publications.
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His dissertation was published by Springer Verlong in London, a very prestigious publishing
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house, and he's had several of his publications picked up by Springer Verlong, also an
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0:07:34 --> 0:07:[privacy contact redaction]ion to computer graphics, his second edition in 2013.
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He's published in a number of scientific journals, including his most recent article on the
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New York algorithm and the voter rolls, which we're going to study today.
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He's going to present to us today, which was published in 2023 in the Journal of
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Information Warfare, volume 22, number two.
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So he has had a wide range of experience, has a is not his background is not cryptography.
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0:08:12 --> 0:08:[privacy contact redaction] done extremely well in cryptography, he has very
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computer graphics at a very, very advanced mathematical level.
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He's obviously been accomplished with not only in his profession, but also in his
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publications. And he's come upon, I think, one of the fundamental understandings of why
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0:08:40 --> 0:08:[privacy contact redaction]s, certainly in the United States and very probably around the world,
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0:08:47 --> 0:08:[privacy contact redaction] to fraud.
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So I think this is an extremely important presentation and one that can be internationally
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0:08:56 --> 0:08:[privacy contact redaction]ications.
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0:08:59 --> 0:09:[privacy contact redaction]s today.
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0:09:01 --> 0:09:[privacy contact redaction] the meeting at 3.30.
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I'll be back at 4.[privacy contact redaction]ions and answers.
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0:09:07 --> 0:09:[privacy contact redaction]ew has done a very, very effective deck of slides and he's going to go through it.
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0:09:14 --> 0:09:[privacy contact redaction]ion, it's a real honor and pleasure to introduce Andrew and Andrew.
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The show is yours now for as long as you care to do the presentation, followed by Q&A.
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0:09:25 --> 0:09:[privacy contact redaction]ew. OK, thank you very much.
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Now, just so everyone knows, I do have a low bandwidth problem today, so it's possible
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0:09:32 --> 0:09:[privacy contact redaction]op out every once in a while.
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For that reason, I'm going to stop my camera and I'm going to share my screen with you.
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And while I do that, I also want to say something has something to do with your mission here,
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0:09:49 --> 0:09:[privacy contact redaction] presentations,
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0:09:53 --> 0:09:[privacy contact redaction] with the Children's Health Defense Fund,
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John F. Kennedy, Robert F.
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Kennedy, Jr.'s group.
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And I had a conversation with their attorney and
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forget the title of the other woman I spoke with.
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And they said to me that they felt that my discoveries in the
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0:10:15 --> 0:10:[privacy contact redaction]ate's voter rolls concerned them a great deal because the voter rolls
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0:10:21 --> 0:10:[privacy contact redaction]ions control the politicians who were making
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So it was it's kind of interesting to, again, be speaking to people who have the
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0:10:34 --> 0:10:[privacy contact redaction]ance because it's all related.
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OK, so can you see my screen?
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Yep. OK, so let me move this off to the side.
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All right. So this image, this 3D graphic that I threw together,
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0:10:54 --> 0:10:[privacy contact redaction] I look at the voter rolls is kind of like you're walking along the road and you run
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You know, it's design. You don't see a car.
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You don't know what it's used for. You don't know why it's there.
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That's what the algorithms in the voter rolls are like.
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0:11:09 --> 0:11:[privacy contact redaction]ions with no obvious answers.
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However, one thing is obvious, and that is it's designed and it does have a purpose.
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What that purpose is, is something that we're going to explore.
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So let me go to the next slide and let's start off with what voter rolls are for.
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OK, so it's pretty simple.
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We want to know that all the voters are qualified.
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So what that means is before you can be registered, you have to present
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evidence that you're a qualified voter, meaning you're 18 years or older,
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0:11:42 --> 0:11:[privacy contact redaction]ion you're registering in and you are a U.S. citizen.
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OK, there are a couple of other procedural requirements, but those are the main ones.
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You're 18 years old or older, you're a U.S. citizen and you live where you say you live.
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So to prove that, what you have to do is you have to bring proof of identity,
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0:11:58 --> 0:12:[privacy contact redaction]ess and proof of citizenship.
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And sometimes the proof of identity is the equivalent of proof of citizenship.
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But that's why we have the voter roll is to is to prove these things.
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It also helps with fraud prevention because you can do post-election audit
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0:12:15 --> 0:12:[privacy contact redaction]e who voted or who are recorded as having voted
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in the voter rolls with the number of ballots that are cast.
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If there's not a match, you know you have a problem.
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0:12:25 --> 0:12:[privacy contact redaction]ion management because they give a list of names
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0:12:29 --> 0:12:[privacy contact redaction]e that can be contacted if necessary for administrative reasons.
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However, for these things to work, they have to be accurate, current and transparent.
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And these are all very important items because unfortunately in America anyway,
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they fail on well, at least two of these.
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The New York voter rolls that I've looked at, as well as rolls in other states
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that I've looked at, are demonstrably inaccurate and not in small numbers
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and very, very large numbers.
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As far as currency is concerned, for the most part, they appear to be current.
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However, if I don't know if it counts as current, if what you're looking at is a bunch
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0:13:08 --> 0:13:[privacy contact redaction]s that are illegally present in the rolls.
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0:13:11 --> 0:13:[privacy contact redaction] something that was illegally deposited yesterday,
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you could say that's current, and yet it's also illegal at the same time.
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0:13:20 --> 0:13:[privacy contact redaction]ing because this creates a problem.
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So if somebody wants to do something nefarious in the voter rolls,
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0:13:30 --> 0:13:[privacy contact redaction] that the voter rolls are public.
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Therefore, whatever it is that they do has to somehow be concealed from public disclosure,
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0:13:38 --> 0:13:[privacy contact redaction] be publicly disclosed.
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And this is where the difference between cryptography and steganography comes in.
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Now, on the off chance, some of the people on this call aren't aware of the difference.
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Cryptography, the result of cryptography is a cipher that is readily recognized.
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We'll be patient while he comes back.
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Low bandwidth, I'm sure.
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Yep. He will come back as a cipher.
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So if you look at, for instance, any, can you hear me?
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We know we missed a piece there where you were just talking about
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transparency, if you'll repeat that.
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OK, thank you. So the thing is about transparency.
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Anyone who wants to do something nefarious with the voter rolls has a problem there.
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And the reason is that if they do it, it will be publicly disclosed
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because the law requires that the voter rolls be publicly disclosed.
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So whatever they do has to somehow be something they can hide.
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0:14:47 --> 0:14:[privacy contact redaction] to make it covert.
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And this is where the difference between cryptography and steganography comes into play.
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Now, I'm assuming that maybe a couple of people don't know the difference
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0:14:56 --> 0:14:[privacy contact redaction]eganography.
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So I'll just say it this way.
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OK, so you don't even know there's something to decode.
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And cryptography is where you you in cipher information,
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0:15:11 --> 0:15:[privacy contact redaction] that it's very clear that it's been encoded.
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So if you look at something from World War Two, where they use the Enigma machines
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to encode German transmissions, it's obvious that they're encoded when you look at it.
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It's it's it's nonsense, but it has structure and that's readily apparent.
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However, steganography, like, for instance, if you watch most modern movies,
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So while you're watching the movie, you don't see this and you're not aware that it's even there.
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So what you'd have to do with the voter rolls, because they're transparent,
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that doesn't interfere with the fact that the information is publicly disclosed.
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And that's the direction we're going to head here in this talk.
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So let's go to the next slide.
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0:15:57 --> 0:16:[privacy contact redaction]e of laws here that are going to be violated
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0:16:01 --> 0:16:[privacy contact redaction]e fool around with the with the voter rolls. OK.
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0:16:05 --> 0:16:[privacy contact redaction]ates must maintain accurate
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0:16:10 --> 0:16:[privacy contact redaction]ration rules.
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Now, when other people talk about laws in relation to the voter rolls,
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they normally don't talk about this particular provision as being all that important.
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They talk about the importance of voters themselves
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not going in and individually making a false registration.
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0:16:28 --> 0:16:[privacy contact redaction]s doing something at a systematic
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0:16:33 --> 0:16:[privacy contact redaction]inarily not contemplated.
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0:16:37 --> 0:16:[privacy contact redaction]emic level. OK.
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0:16:40 --> 0:16:[privacy contact redaction]ates aren't maintaining accurate and current voter registration rules,
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they're violating the National Voter Registration Act.
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And let's see.
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And next, we're going to go to the Help America Vote Act, also known as HAVA.
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In this case, they're requiring that there's a unique identifier for each voter.
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This is important because this has been violated quite a lot of times in New York,
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of this law many times over.
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I'll get to the numbers in just a minute.
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0:17:13 --> 0:17:[privacy contact redaction] the eligibility issue, and eligibility is quite important.
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So what they do is they say that the voter registration
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0:17:22 --> 0:17:[privacy contact redaction]ication form is literally an affidavit.
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0:17:25 --> 0:17:[privacy contact redaction] be hand signed by the voter who's registering.
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This is extremely important because if you have fake records in the rolls,
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as I believe there are,
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where would the paperwork be for those fake records
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0:17:41 --> 0:17:[privacy contact redaction] signed for those fake records?
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Now, I happen to have found about two million records
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while I was engaged in work with a group known as New York Citizens Audit.
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0:17:52 --> 0:17:[privacy contact redaction]s are are basically fake.
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They're illegal records.
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0:17:56 --> 0:18:02
So, for instance, there's a person who has [privacy contact redaction]ate ID numbers,
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which allows 25 absentee ballots to be sent to him every single election.
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Which allows him to vote in [privacy contact redaction]ions simultaneously,
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which grossly violates the law.
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So the thing is, I was wondering
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0:18:18 --> 0:18:[privacy contact redaction] a signature, right?
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0:18:23 --> 0:18:[privacy contact redaction] documents that support all of these excess records?
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0:18:27 --> 0:18:31
We've got two million records, and it seemed to me that the test for
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0:18:31 --> 0:18:[privacy contact redaction]ake
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0:18:34 --> 0:18:38
or it was something that was intentionally illegal
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is going to be what the paperwork looks like.
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0:18:40 --> 0:18:[privacy contact redaction]e of that.
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0:18:43 --> 0:18:46
Now, I've masked off a lot of the data, so you're not going to be able to tell
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0:18:46 --> 0:18:49
who this is. But what this is,
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0:18:50 --> 0:18:52
is a voter information report for two different records.
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0:18:53 --> 0:18:56
Now, if you look at the county ID here on the left,
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0:18:56 --> 0:19:00
you see it ends in 072 and you see right next to it on the right,
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0:19:00 --> 0:19:02
there's another one that ends in 074.
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0:19:02 --> 0:19:04
So these are different county IDs.
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0:19:04 --> 0:19:07
Now, that's actually OK if the person moves from one county to another.
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0:19:08 --> 0:19:11
But in this case, if you look at the residential address zip code, it's identical.
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0:19:11 --> 0:19:[privacy contact redaction]ess is exactly identical.
287
0:19:15 --> 0:19:[privacy contact redaction]ually already illegal at the county ID level, but it gets worse.
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0:19:20 --> 0:19:[privacy contact redaction]ate ID, it ends in 1837 on one side
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0:19:25 --> 0:19:27
and on the other, it ends in 8056.
290
0:19:27 --> 0:19:[privacy contact redaction]ate IDs.
291
0:19:29 --> 0:19:[privacy contact redaction]e mail in ballots to be mailed to this person.
292
0:19:33 --> 0:19:[privacy contact redaction], this person has three records, not two.
293
0:19:36 --> 0:19:[privacy contact redaction] felt it was easier to see two than to look at all three.
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0:19:40 --> 0:19:[privacy contact redaction]s for the same person with the same birthdate,
295
0:19:43 --> 0:19:[privacy contact redaction]ess.
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0:19:45 --> 0:19:[privacy contact redaction]ration dates, February 7th, 2020 and February 8th, 2020.
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0:19:49 --> 0:19:50
So these are a day apart.
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0:19:50 --> 0:19:[privacy contact redaction], I forget if it's the seventh
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0:19:53 --> 0:19:56
or the eighth, but it's on one of these same two days.
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0:19:57 --> 0:20:[privacy contact redaction]s within about 25 hours of each other
301
0:20:03 --> 0:20:05
with different ID numbers, three different ID numbers.
302
0:20:06 --> 0:20:09
And if you look at the signature and this is where it gets very interesting
303
0:20:10 --> 0:20:12
and I've blocked off half the signature so you don't see the last name.
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0:20:12 --> 0:20:14
But this is identical.
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0:20:14 --> 0:20:16
Every pixel is identical.
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0:20:16 --> 0:20:19
So if you look, there's like this very tiny dot right near
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0:20:19 --> 0:20:21
where my cursor is on the right.
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0:20:21 --> 0:20:24
And if I go over to the left, you see that same dot is right there.
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0:20:24 --> 0:20:28
And if you look at the end of the R here, those dots are all exactly the same.
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0:20:28 --> 0:20:29
If I.
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0:20:34 --> 0:20:37
We've lost him again, we'll wait.
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0:20:48 --> 0:20:50
Charles, could this been going on in Australia?
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0:20:50 --> 0:20:53
No, that's quite quite different.
314
0:20:54 --> 0:20:56
You're back. Oh, sorry.
315
0:20:56 --> 0:20:59
Yeah, but there might be a variation on it, which you.
316
0:21:00 --> 0:21:05
No, it's it's a it's quite a different system, Steven, but it's a great.
317
0:21:05 --> 0:21:09
It's a the question is how how much beyond fraud is ours?
318
0:21:09 --> 0:21:12
What the AEC, the Australian Electoral Commission.
319
0:21:16 --> 0:21:[privacy contact redaction]ew back?
320
0:21:18 --> 0:21:[privacy contact redaction]ew back?
321
0:21:20 --> 0:21:24
No, he hasn't gone, but we can't hear him going.
322
0:21:24 --> 0:21:27
He's got his bandwidth problems.
323
0:21:29 --> 0:21:31
He's picked the wrong band, Steven, he's picked a con.
324
0:21:31 --> 0:21:33
And there you are, Andrew.
325
0:21:35 --> 0:21:37
No, I can't hear you.
326
0:21:43 --> 0:21:47
He's picked a symphony orchestra, Steven, when a when a quartet would have done.
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0:21:47 --> 0:21:48
And.
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0:21:52 --> 0:21:[privacy contact redaction] tell me when you can hear me.
329
0:21:55 --> 0:21:56
I will will do it.
330
0:21:56 --> 0:21:59
There's a text he puts me in the chance just.
331
0:22:00 --> 0:22:03
When we get him, we'll tell you, but we can't hear you yet, Andrew.
332
0:22:18 --> 0:22:21
We would tell you when we can hear you, Andrew, but we can't hear you.
333
0:22:28 --> 0:22:31
Steven, I love it when computer experts have computer problems.
334
0:22:33 --> 0:22:35
Makes me feel less incompetent.
335
0:22:40 --> 0:22:43
Yeah, I must admit, it's a bandwidth problem.
336
0:22:43 --> 0:22:44
You know that, Andrew.
337
0:22:47 --> 0:22:48
So.
338
0:22:50 --> 0:22:[privacy contact redaction]ew's keeping us informed in the chat, everybody.
339
0:22:55 --> 0:22:[privacy contact redaction]arted 10 days ago.
340
0:23:00 --> 0:23:01
Well.
341
0:23:03 --> 0:23:06
Started 10 days ago wasn't actually a bandwidth.
342
0:23:06 --> 0:23:09
There wasn't a problem previous to that, no.
343
0:23:10 --> 0:23:14
Yeah, he says, I'm sorry if I was paranoid, I'd say it was a CIA.
344
0:23:15 --> 0:23:16
Uh.
345
0:23:26 --> 0:23:27
It was.
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0:23:27 --> 0:23:[privacy contact redaction]
347
0:23:28 --> 0:23:31
In dozens of previous zoom meetings, says Andrew.
348
0:23:34 --> 0:23:35
Well.
349
0:23:35 --> 0:23:[privacy contact redaction]ew meets Jerome low bandwidth.
350
0:23:38 --> 0:23:39
Haha.
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0:23:39 --> 0:23:40
They are, of course,
352
0:23:40 --> 0:23:42
they're going to meet each other on a regular basis.
353
0:23:42 --> 0:23:44
Aha, there you are.
354
0:23:44 --> 0:23:45
Corsi, you're very powerful.
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0:23:45 --> 0:23:46
He's gone too.
356
0:23:46 --> 0:23:47
He's had to go to his meeting.
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0:23:50 --> 0:23:52
Try dialing in, Andrew.
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0:23:52 --> 0:23:[privacy contact redaction]
359
0:23:56 --> 0:24:01
So prior to 10 days ago, he had no problem with his bandwidth.
360
0:24:01 --> 0:24:02
Is that right?
361
0:24:02 --> 0:24:[privacy contact redaction]
362
0:24:05 --> 0:24:[privacy contact redaction]
363
0:24:05 --> 0:24:10
And I've got the slide deck so I can show the slide deck.
364
0:24:10 --> 0:24:12
Oh, you need the number.
365
0:24:12 --> 0:24:16
Tom, can you put the number in the chat, please?
366
0:24:16 --> 0:24:18
Tom Rodman.
367
0:24:18 --> 0:24:[privacy contact redaction]ew calls in.
368
0:24:19 --> 0:24:[privacy contact redaction]ew's in New York, I think.
369
0:24:22 --> 0:24:23
Well, where are you, Andrew?
370
0:24:23 --> 0:24:[privacy contact redaction]ate?
371
0:24:25 --> 0:24:28
I think New York.
372
0:24:28 --> 0:24:30
Well, Tom has put the New York.
373
0:24:30 --> 0:24:31
Yep.
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0:24:31 --> 0:24:34
Tom, put the New York number in if you can dig it out
375
0:24:34 --> 0:24:[privacy contact redaction] on the invite.
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0:24:35 --> 0:24:37
Here it is, Andrew.
377
0:24:57 --> 0:25:00
Stop your sharing.
378
0:25:00 --> 0:25:03
And then I will share the slides.
379
0:25:13 --> 0:25:16
OK, Andrew, I've got the slides there.
380
0:25:16 --> 0:25:23
And I can go through here.
381
0:25:23 --> 0:25:[privacy contact redaction]ew's calling in on his phone.
382
0:25:53 --> 0:25:54
Sorry.
383
0:25:54 --> 0:25:55
Da da da da.
384
0:25:55 --> 0:25:58
What's the meeting ID, Tom?
385
0:25:58 --> 0:25:[privacy contact redaction]ew needs the meeting ID.
386
0:26:05 --> 0:26:09
Meeting ID, I suppose, passcode.
387
0:26:09 --> 0:26:12
Yeah, we're sending it to you, Andrew.
388
0:26:14 --> 0:26:17
OK, Ulrike has put it in there now.
389
0:26:17 --> 0:26:19
OK, I'm going to go through it.
390
0:26:20 --> 0:26:23
OK, Ulrike has put it in there.
391
0:26:23 --> 0:26:26
9352118786.
392
0:26:29 --> 0:26:32
Say it again, Charles.
393
0:26:32 --> 0:26:34
It's on the chat.
394
0:26:44 --> 0:26:47
OK, what's the password?
395
0:26:47 --> 0:26:49
Passcode 211230.
396
0:26:49 --> 0:26:50
Thanks, Tom.
397
0:26:50 --> 0:26:52
211230.
398
0:27:00 --> 0:27:03
We'll edit all this out in the recording, everybody.
399
0:27:05 --> 0:27:08
So now in the chat, you've got the code, Tom,
400
0:27:08 --> 0:27:10
sorry, Andrew, and the passcode.
401
0:27:17 --> 0:27:[privacy contact redaction] time we've had problems like this, Charles,
402
0:27:20 --> 0:27:23
but there's always this plausible deniability,
403
0:27:23 --> 0:27:[privacy contact redaction]s build in.
404
0:27:25 --> 0:27:28
You're never quite sure.
405
0:27:28 --> 0:27:31
Yeah, Andrew can hear us through the process.
406
0:27:31 --> 0:27:34
Yeah, that's true, Stephen.
407
0:27:34 --> 0:27:39
We can't hear you yet, Andrew, on your phone for some reason.
408
0:27:39 --> 0:27:41
We can't hear you.
409
0:27:41 --> 0:27:43
We can't hear you.
410
0:27:44 --> 0:27:47
We can't hear you yet, Andrew, on your phone for some reason.
411
0:27:56 --> 0:27:58
That's strange, Tom.
412
0:27:58 --> 0:28:[privacy contact redaction]ew...
413
0:28:01 --> 0:28:03
Yeah, exactly.
414
0:28:03 --> 0:28:06
Do you see a new person joining on a phone?
415
0:28:08 --> 0:28:10
That would be him?
416
0:28:10 --> 0:28:12
No, we can't.
417
0:28:12 --> 0:28:14
We would be hearing him.
418
0:28:14 --> 0:28:19
I mean, he'd have to come in as a separate entry,
419
0:28:19 --> 0:28:24
and then we could look and see if his phone was muted or not.
420
0:28:26 --> 0:28:29
Well, Andrew's phone is the phone number there,
421
0:28:29 --> 0:28:32
[privacy contact redaction], that looks muted.
422
0:28:33 --> 0:28:38
So, just say he needs to unmute himself, you mean, Charles?
423
0:28:38 --> 0:28:40
Yeah, but he doesn't know how.
424
0:28:40 --> 0:28:43
He doesn't know how to unmute.
425
0:28:43 --> 0:28:45
Oh, sorry.
426
0:28:45 --> 0:28:47
Star 6.
427
0:28:47 --> 0:28:50
Star 6, Andrew?
428
0:28:52 --> 0:28:53
OK, can you hear me now?
429
0:28:53 --> 0:28:55
Yep, can hear you.
430
0:28:55 --> 0:28:57
Excellent, Tom.
431
0:28:57 --> 0:28:59
For crying out loud.
432
0:28:59 --> 0:29:01
What a pain.
433
0:29:01 --> 0:29:03
OK, sorry, guys.
434
0:29:03 --> 0:29:05
Can I share my screen again?
435
0:29:05 --> 0:29:07
Or you're sharing yours so we can see this.
436
0:29:07 --> 0:29:09
All right, fine.
437
0:29:09 --> 0:29:12
OK, so the main thing that's important about this particular
438
0:29:12 --> 0:29:[privacy contact redaction] several laws that govern how the database
439
0:29:18 --> 0:29:20
is handled, OK?
440
0:29:20 --> 0:29:24
And it says that if it's not accurate, it's not current,
441
0:29:24 --> 0:29:27
then it violates these two laws.
442
0:29:28 --> 0:29:31
And this is very important because they definitely have been
443
0:29:31 --> 0:29:33
violated.
444
0:29:33 --> 0:29:35
So let's go to the next slide.
445
0:29:37 --> 0:29:39
I'm assuming you have, yeah, there we go.
446
0:29:39 --> 0:29:41
OK, we already talked about this.
447
0:29:41 --> 0:29:43
Let's get to that signature slide.
448
0:29:43 --> 0:29:45
So that's the next one.
449
0:29:47 --> 0:29:49
And there we go.
450
0:29:49 --> 0:29:52
OK, so what's important about this, the requests went through a
451
0:29:52 --> 0:29:54
group called New York Citizens Audit.
452
0:29:54 --> 0:29:56
And I think it was somewhere in the neighborhood of about 10
453
0:29:56 --> 0:29:[privacy contact redaction]s.
454
0:29:58 --> 0:30:02
Now, we didn't ask for all of the records because we anticipated
455
0:30:02 --> 0:30:[privacy contact redaction]eds of thousands of these
456
0:30:06 --> 0:30:08
signature files.
457
0:30:08 --> 0:30:[privacy contact redaction]ed what I consider to be a
458
0:30:12 --> 0:30:15
strategically friendly county, which is the one we got these
459
0:30:15 --> 0:30:19
two signatures from, and then gave a very, made a very limited
460
0:30:19 --> 0:30:[privacy contact redaction]
461
0:30:21 --> 0:30:24
So I only asked for a very limited number of signatures.
462
0:30:25 --> 0:30:[privacy contact redaction]s that were clones that were within
463
0:30:29 --> 0:30:[privacy contact redaction]ered within a 10 day
464
0:30:32 --> 0:30:34
period.
465
0:30:34 --> 0:30:37
So they sent us all of those files and all of them were like
466
0:30:37 --> 0:30:39
this, every single one of them.
467
0:30:39 --> 0:30:42
So then we, after that, we brought in the request to other
468
0:30:42 --> 0:30:44
counties.
469
0:30:44 --> 0:30:[privacy contact redaction]ate.
470
0:30:46 --> 0:30:[privacy contact redaction]s from about 20 of those counties,
471
0:30:49 --> 0:30:[privacy contact redaction] offenders, like, for instance, New York City
472
0:30:52 --> 0:30:[privacy contact redaction], I think it's the neighborhood of about a
473
0:30:55 --> 0:30:[privacy contact redaction]s, they didn't respond.
474
0:30:58 --> 0:31:[privacy contact redaction]s from New York City.
475
0:31:01 --> 0:31:[privacy contact redaction]s from were the more
476
0:31:05 --> 0:31:[privacy contact redaction] counties.
477
0:31:07 --> 0:31:09
But all of them looked like this.
478
0:31:09 --> 0:31:[privacy contact redaction] seen, they have these
479
0:31:12 --> 0:31:14
photographically identical signatures.
480
0:31:14 --> 0:31:16
And that's whether there's one clone or two clones or three
481
0:31:16 --> 0:31:18
clones.
482
0:31:18 --> 0:31:20
They're all like this.
483
0:31:21 --> 0:31:[privacy contact redaction]ate police special investigations
484
0:31:24 --> 0:31:26
unit.
485
0:31:26 --> 0:31:[privacy contact redaction] attorney, which I don't know if
486
0:31:28 --> 0:31:[privacy contact redaction]ralia and England, but it's the type
487
0:31:30 --> 0:31:32
of prosecutor.
488
0:31:32 --> 0:31:34
I showed them to sheriff.
489
0:31:34 --> 0:31:36
They all accept.
490
0:31:36 --> 0:31:38
These are forgeries.
491
0:31:38 --> 0:31:40
They are illegal.
492
0:31:40 --> 0:31:[privacy contact redaction]igated.
493
0:31:42 --> 0:31:[privacy contact redaction]ingly enough, at the state police, the guy who was
494
0:31:44 --> 0:31:[privacy contact redaction] who told me this was very important and
495
0:31:46 --> 0:31:49
has to go further, sent it to the FBI, and then he got
496
0:31:49 --> 0:31:[privacy contact redaction]ed.
497
0:31:51 --> 0:31:53
So I showed them to the police.
498
0:31:53 --> 0:31:55
And they all accepted.
499
0:31:55 --> 0:31:57
So I showed them to the next slide, please.
500
0:31:57 --> 0:31:59
Okay.
501
0:31:59 --> 0:32:01
So as far as errors go, there are errors in just about every
502
0:32:01 --> 0:32:03
field I checked.
503
0:32:03 --> 0:32:05
So we've got names that are spelled wrong, date of birth,
504
0:32:05 --> 0:32:[privacy contact redaction]ration dates that are wrong, addresses, voter history
505
0:32:07 --> 0:32:09
status, that is, say, whether they're active, inactive or
506
0:32:09 --> 0:32:11
purged.
507
0:32:11 --> 0:32:13
And then, of course, there's the presence of illegal records.
508
0:32:13 --> 0:32:[privacy contact redaction] some of the types of errors
509
0:32:15 --> 0:32:17
that I mentioned above.
510
0:32:18 --> 0:32:20
And there's a lot of other errors in addition to these that
511
0:32:20 --> 0:32:22
I'm not mentioning.
512
0:32:22 --> 0:32:[privacy contact redaction] that we see this information, which
513
0:32:24 --> 0:32:26
should be immutable, changing between versions of the database.
514
0:32:26 --> 0:32:28
So we've got different versions of the database where people's
515
0:32:28 --> 0:32:30
date of birth is altered.
516
0:32:30 --> 0:32:[privacy contact redaction]ration dates are changed.
517
0:32:32 --> 0:32:[privacy contact redaction]s that make it apparent it
518
0:32:34 --> 0:32:[privacy contact redaction]ess change.
519
0:32:36 --> 0:32:[privacy contact redaction]ories are changing as well.
520
0:32:38 --> 0:32:[privacy contact redaction]range things going on in the
521
0:32:40 --> 0:32:42
database that make it appear that they're not actually
522
0:32:42 --> 0:32:[privacy contact redaction]ered.
523
0:32:44 --> 0:32:46
And so there's a lot of very strange things going on in the
524
0:32:46 --> 0:32:48
database that make it quite clearly inaccurate.
525
0:32:48 --> 0:32:50
And the thing about that that's quite fascinating is that what
526
0:32:50 --> 0:32:[privacy contact redaction] part is they can't be using any normal
527
0:32:52 --> 0:32:54
form of data validation.
528
0:32:54 --> 0:32:56
Data validation is something that you encounter when you go
529
0:32:56 --> 0:32:58
to a kiosk on the web, for instance, to buy something.
530
0:32:58 --> 0:33:00
So if you want to rent a movie or buy something at the Amazon
531
0:33:00 --> 0:33:02
.com or something, you can go to Amazon.com and click on the
532
0:33:02 --> 0:33:04
link at the top of the screen.
533
0:33:04 --> 0:33:06
So you're going to need to get in.
534
0:33:06 --> 0:33:08
So the data validation is something that you can encounter
535
0:33:08 --> 0:33:10
when you go to a kiosk on the web, for instance, to buy
536
0:33:10 --> 0:33:12
something.
537
0:33:12 --> 0:33:14
So if you want to rent a movie or buy something at Amazon.com
538
0:33:14 --> 0:33:19
Amazon.com or something, you have to enter your name, your address, your credit card information,
539
0:33:20 --> 0:33:[privacy contact redaction]ing using OneAbide, etc. But if you enter data that's invalid,
540
0:33:25 --> 0:33:[privacy contact redaction]ance, if you type in a postcode that doesn't match where you live or the address that
541
0:33:31 --> 0:33:37
you provide, or you give a phone number that's non-functional for some reason, it will not allow
542
0:33:37 --> 0:33:[privacy contact redaction]ication to be processed. So it'll give you an error message. It'll tell you that the
543
0:33:41 --> 0:33:45
information is invalid and it asks you to re-enter the data. If something like that was
544
0:33:45 --> 0:33:[privacy contact redaction]emented in New York's photo rolls, none of the problems I found would be there. It would be able
545
0:33:51 --> 0:33:56
to catch absolutely every single one of them. For instance, these cloned records like I've just been
546
0:33:56 --> 0:34:02
talking about here, the problem with those is there is an existing record. So this is like,
547
0:34:02 --> 0:34:[privacy contact redaction]ions, registered to vote, and then come back later and tried to do
548
0:34:09 --> 0:34:15
it again. So when I come back on that second occasion, what their system should do is pull
549
0:34:15 --> 0:34:[privacy contact redaction]ess to see if there's an existing registration that matches
550
0:34:19 --> 0:34:25
that information. And if there is, then it should not allow that registration application to be
551
0:34:25 --> 0:34:29
processed. And this, by the way, this exact circumstance is contemplated in the law,
552
0:34:29 --> 0:34:37
is described in the law, which says that the County Board of Elections must check for existing
553
0:34:37 --> 0:34:[privacy contact redaction]ications. That alone would have prevented the majority of
554
0:34:43 --> 0:34:50
the clones that I found having been created. Now there are clones that could have been created
555
0:34:50 --> 0:34:[privacy contact redaction]ance, when the name is spelled slightly wrong or the date of birth is a little
556
0:34:54 --> 0:34:59
different because then that data doesn't match. However, the law also specifies that even if
557
0:35:01 --> 0:35:06
it looks like it's a good registration where nothing matches, they still have to take it
558
0:35:06 --> 0:35:[privacy contact redaction]ep by checking what's called the social security number and the driver's license number.
559
0:35:10 --> 0:35:17
And only then are they allowed to process it. Now the thing is that at that level, all of these
560
0:35:17 --> 0:35:[privacy contact redaction]ured, which means that at a systemic level, the Board
561
0:35:21 --> 0:35:[privacy contact redaction]ions are not performing this task. If they were performing this task, the data I'm seeing in
562
0:35:26 --> 0:35:33
the voter rolls would be impossible. It could never have been created. And this affects almost 10%,
563
0:35:33 --> 0:35:37
actually, I think a little bit more than 10% of all the records, which is quite significant when
564
0:35:37 --> 0:35:[privacy contact redaction]ions that are decided by, in some cases, a few dozen votes. Okay, let's go to the
565
0:35:42 --> 0:35:50
next slide, please. All right. So one of the more interesting artifacts that I've found in the
566
0:35:52 --> 0:35:[privacy contact redaction]ories. So what this is, is when we have the County
567
0:35:59 --> 0:36:[privacy contact redaction]ions, we have the State Board of Elections. So the counties are the local
568
0:36:05 --> 0:36:[privacy contact redaction]s where the data is essentially collected and organized and then shipped to the State Board
569
0:36:11 --> 0:36:[privacy contact redaction] it. Now, under the law in New York, the only entity that has the
570
0:36:18 --> 0:36:24
authority to create, alter, change, or delete records is the County Board of Elections. And
571
0:36:24 --> 0:36:29
the reason is because they're the source of all the data. So if the state was deleting records
572
0:36:29 --> 0:36:[privacy contact redaction]s, there's no infrastructure to allow that data to go back to the counties to
573
0:36:36 --> 0:36:[privacy contact redaction]s. So if something like that needs to be done, the county has to do it and then
574
0:36:41 --> 0:36:[privacy contact redaction]ed form so that the state database is always synchronized
575
0:36:47 --> 0:36:[privacy contact redaction] current version of the county database is. So what we see is, and I'm
576
0:36:53 --> 0:36:[privacy contact redaction] going to use New York City as an example because they're large and they have the largest
577
0:36:56 --> 0:37:05
number of errors, a discrepancy of about 254,[privacy contact redaction]ories
578
0:37:05 --> 0:37:[privacy contact redaction]ories for the same people. So if you look at a voter
579
0:37:10 --> 0:37:16
ID number, let's just say voter ID number one, and that represents John Doe. So and it says he
580
0:37:16 --> 0:37:[privacy contact redaction]ion. But then you go to the State Board of Elections voter rolls and you look
581
0:37:22 --> 0:37:27
up voter number one and it says it's John Doe, it does not say he voted in 2020. So this information
582
0:37:27 --> 0:37:32
from the county rolls is not being transmitted to the state or the information after being
583
0:37:32 --> 0:37:[privacy contact redaction]ate is being deleted by the state, which would be illegal. So that's a problem.
584
0:37:38 --> 0:37:45
Now the number of votes involved is huge, 254,000 votes. Now you're looking at this slide and you're
585
0:37:45 --> 0:37:50
thinking I don't see the number 254,[privacy contact redaction], anywhere rather. The reason you don't see
586
0:37:50 --> 0:37:56
that number there is because they've done something very, very strange. I call this the bus problem.
587
0:37:56 --> 0:38:00
Okay, now for those of you who aren't familiar with the way New York counties are organized,
588
0:38:02 --> 0:38:09
what we generically call New York City is actually five counties. It's Bronx, Queens, Queens,
589
0:38:09 --> 0:38:15
New York, and Richmond counties. But they're treated as if they're one county as far as the
590
0:38:15 --> 0:38:[privacy contact redaction]ions is concerned. So each of those counties has a discrepancy of about 50,000. It's
591
0:38:20 --> 0:38:28
a little less in some and a little more in others, but the total is 254,000 votes. Okay, so what they've
592
0:38:28 --> 0:38:[privacy contact redaction] that if you compare the voter ID numbers, you can see that it's
593
0:38:35 --> 0:38:43
missing the 250,000 votes. But if you look at the number of votes recorded by the county and compare
594
0:38:43 --> 0:38:[privacy contact redaction]ate, it comes very close. So that's what we're seeing here in the top. Okay, so on the
595
0:38:47 --> 0:38:53
top row on the right, you see the certified count of votes. This is what's going into the state
596
0:38:53 --> 0:39:01
certification process for certifying the vote. So 788,262 votes were certified as it happens in
597
0:39:01 --> 0:39:[privacy contact redaction] count, so this is where the count originated, you see the count is
598
0:39:08 --> 0:39:12
slightly higher than that. It's not enough to make a huge difference, but it is different. That all
599
0:39:12 --> 0:39:17
by itself is problematic because this means that somewhere between the precinct and the
600
0:39:18 --> 0:39:24
state level, about a thousand votes went missing. Okay, actually it's more than a thousand votes.
601
0:39:24 --> 0:39:29
It's like it's more like [privacy contact redaction], so that tells you there's a problem,
602
0:39:29 --> 0:39:34
but it's not a huge problem. But now you look at the state voter roll count of voters who voted,
603
0:39:34 --> 0:39:39
and that's a significant difference. That's 737,986 is the difference from 50,000 or so.
604
0:39:40 --> 0:39:[privacy contact redaction] and it says 739,885, which is really close. That's just,
605
0:39:45 --> 0:39:49
it looks like it's 1899 is the difference between those two. So it's not much.
606
0:39:50 --> 0:39:57
But here's the problem. If you compare ID numbers, the difference is actually, and this is by the way,
607
0:39:57 --> 0:40:02
this is for one county. This looks like it's Queen County. So the difference for Queen County is
608
0:40:02 --> 0:40:09
actually 55,000 based on ID numbers. But when you look at the actual number of votes,
609
0:40:10 --> 0:40:15
how does that happen? This is what I call the bus problem. So the bus problem, imagine this,
610
0:40:15 --> 0:40:[privacy contact redaction] a bus that has 20 passengers, it crashes and eight passengers are killed.
611
0:40:21 --> 0:40:27
However, when the number of survivors are counted, there are 19 survivors. So how do you take eight
612
0:40:27 --> 0:40:[privacy contact redaction]e and end up with [privacy contact redaction]e? The answer to that is that more
613
0:40:35 --> 0:40:[privacy contact redaction]e got on the bus after those eight people were killed. So that's what they're doing here
614
0:40:41 --> 0:40:[privacy contact redaction]ively taken votes away from one set of ID numbers, but they've
615
0:40:49 --> 0:40:56
added them back in with another set of ID numbers. Now, why they would do this is a little mysterious
616
0:40:56 --> 0:41:01
to me, except for the fact that they're adding and subtracting the votes from different counties. So
617
0:41:01 --> 0:41:08
it looks like they're shifting the numbers so that they can reach the number of certified votes
618
0:41:08 --> 0:41:14
that they say were certified, despite the fact that those votes are coming from different counties,
619
0:41:14 --> 0:41:22
which obviously I would think invalidates the purpose. So let's go on to, and by the way,
620
0:41:22 --> 0:41:26
if I was unclear about that, please ask questions. I always found this particularly
621
0:41:26 --> 0:41:[privacy contact redaction]ing that they did one of the trickier things I've ever seen. And it took me some time to
622
0:41:31 --> 0:41:37
get my head wrapped around it. But that's what the left-hand image is meant to show you. So if you
623
0:41:37 --> 0:41:45
look at this, we've got [privacy contact redaction] four missing from the state and you've
624
0:41:45 --> 0:41:51
got on the other side of two missing from the county, but they're making it up with votes from
625
0:41:51 --> 0:41:58
the other side. So what I found when I looked at these is that in every case, the missing vote
626
0:41:59 --> 0:42:[privacy contact redaction] So if John Doe has two records, record one and two, and at the
627
0:42:06 --> 0:42:13
county level it says he voted with ID number one, at the state level it says he voted with ID number
628
0:42:13 --> 0:42:19
two, but not with number one. And meanwhile, I have no record of a county registration for this
629
0:42:19 --> 0:42:[privacy contact redaction] the state record of that. So this is quite an interesting
630
0:42:26 --> 0:42:[privacy contact redaction]igated. Now, by the way, the reason I'm showing you this
631
0:42:30 --> 0:42:36
stuff before I get into the other, because I want you to be aware of and comfortable with the idea
632
0:42:36 --> 0:42:[privacy contact redaction]igation sitting in the... Can you hear me? I can't hear
633
0:42:44 --> 0:42:50
anyone. Yeah, yeah. Hello? Yeah, we can hear you. Okay. Okay. Okay. So you've heard me talking about
634
0:42:51 --> 0:42:58
about the bus problem, right? Now, Andrew, now we've got, you need to, we'll get feedback because
635
0:42:58 --> 0:43:05
we're also getting your microphone working. So if you're on your computer, so reduce the input on
636
0:43:05 --> 0:43:14
your computer. So how about now? Yeah, can you hear me now? Yep. Okay, good. So I'm going to stick
637
0:43:14 --> 0:43:19
with the phone because I don't know if the mic's going to go out on me again. Okay. So anyway, so
638
0:43:19 --> 0:43:[privacy contact redaction]ing, but the reason I'm telling you about it is because I want you to know that
639
0:43:24 --> 0:43:29
there are problems in the voter rolls because this gets to why the algorithm is needed. So let's go
640
0:43:29 --> 0:43:38
to the next slide, please. All right. So purged records are kind of interesting because the way
641
0:43:38 --> 0:43:[privacy contact redaction]opdown menu that has the words active, inactive, and purged on
642
0:43:44 --> 0:43:51
or in the more recent version of the database, AI or Q. All you have to do to purge a record is
643
0:43:52 --> 0:43:[privacy contact redaction] purge. And if you want to make that record active again,
644
0:43:57 --> 0:44:[privacy contact redaction]ive and it's done. So leaving the record in the database as a purge record is
645
0:44:04 --> 0:44:[privacy contact redaction]ive safety measure because it can always be changed back to active.
646
0:44:09 --> 0:44:15
And then after it's been used to count a fake vote, it can then be purged again,
647
0:44:16 --> 0:44:21
and no one will know it was ever used that way. We have two million records that actually lack
648
0:44:21 --> 0:44:27
a purge date, which means that you can't retrospectively know whether a vote was
649
0:44:29 --> 0:44:36
legal or not. Because if your purge date is before your record is having voted, then that
650
0:44:36 --> 0:44:41
vote is invalid. But if it's after, then it's valid. So not having a purge date means it's
651
0:44:41 --> 0:44:49
impossible to assess or to audit this particular, to audit votes that are associated with records
652
0:44:49 --> 0:44:[privacy contact redaction] purged without a purge date. So that's very important. And interestingly, there also are
653
0:44:55 --> 0:45:01
about two million clones. And one thing about the clones that's interesting is that about a half
654
0:45:01 --> 0:45:[privacy contact redaction]ually not in the voter rolls, but I know they were in the voter rolls
655
0:45:06 --> 0:45:11
and I know who they belong to originally because of the algorithm I discovered. If it wasn't for
656
0:45:11 --> 0:45:15
the algorithm, I would never know that those numbers had ever been assigned to anyone and
657
0:45:15 --> 0:45:20
I certainly wouldn't have a way to figure out who they originally belong to. But I actually can do
658
0:45:20 --> 0:45:27
that now. So let's go to the next slide. Okay, so let me just show you what a clone looks like.
659
0:45:28 --> 0:45:34
I'm going to show you a little bit more about this now against the algorithm. So if you look here on
660
0:45:34 --> 0:45:39
the left, and by the way, I've blocked out the names and address and so on information, but this
661
0:45:39 --> 0:45:44
is the same person. It's identical names, identical birth dates, and identical addresses. So if you
662
0:45:44 --> 0:45:50
look at what's called the short ID, that's the state ID, you see that it's almost consecutive.
663
0:45:50 --> 0:45:[privacy contact redaction] two are consecutive and then there's a run that looks like six numbers that are
664
0:45:56 --> 0:46:00
consecutive and then another run of numbers that are consecutive. And you notice the registration
665
0:46:00 --> 0:46:04
dates all the same. And oh, actually I left the date of birth in there so you can see that's all
666
0:46:04 --> 0:46:10
the same too. But this is all the same person and this is what a clone looks like. We do have people
667
0:46:10 --> 0:46:[privacy contact redaction] clones are actually just two records or three records,
668
0:46:19 --> 0:46:[privacy contact redaction]ed that look like this. So now that you know what this looks
669
0:46:25 --> 0:46:29
like, let's look at how many there are and where they appear. This is interesting. So go to the
670
0:46:29 --> 0:46:[privacy contact redaction]ease. Okay, so if you look at this by year, you see that the percentage of clones
671
0:46:37 --> 0:46:[privacy contact redaction]ration goes up rapidly year over year. In fact, prior to about 1990, there were
672
0:46:46 --> 0:46:[privacy contact redaction] years zero clones. So you would look at 1950s if you wanted to, all the way up to 1990s.
673
0:46:52 --> 0:46:[privacy contact redaction]e that might have had like two clones or three clones,
674
0:46:56 --> 0:47:03
maybe even as many as five, but nothing really significant. But in 1990, you get 514 clones,
675
0:47:03 --> 0:47:09
which you know that doesn't seem too bad in the context of 6,[privacy contact redaction]rations, but it's
676
0:47:09 --> 0:47:15
certainly not good compared to having no clones in prior years. And then if you look at that number,
677
0:47:16 --> 0:47:24
it keeps on going up. Okay, now election years, it goes up even more. So 1992, 1996, you see bumps
678
0:47:24 --> 0:47:29
for every four years, it goes up by a lot more. But if you look down at the bottom, take a look
679
0:47:29 --> 0:47:37
at 2020, now you're getting 178,755 clones. That is really significant. That's actually almost as
680
0:47:37 --> 0:47:[privacy contact redaction]rations as we had in 1990. And yet in this case, that's all clones.
681
0:47:46 --> 0:47:56
Okay, can you hear me? Hello? Yep. Okay. Yeah. So this is now a lot of clones. And if you look at
682
0:47:56 --> 0:48:06
the percentages, right, you're going from 0.25% in 1990, all the way up to 17.36% in 2022. And if
683
0:48:06 --> 0:48:11
you look at the percentages from on the, you know, just on the bottom, just look at those year over
684
0:48:11 --> 0:48:20
year, it consistently increases every single year. Okay. So from my perspective, what I'm seeing here
685
0:48:20 --> 0:48:25
is I'm seeing the value of electronic voter registration. In other words, it's not very
686
0:48:25 --> 0:48:31
good because it seems to be making a problem that didn't exist and making it worse every single year.
687
0:48:32 --> 0:48:39
So this is not a good thing. All right, let's go to the next slide, please. All right. Now,
688
0:48:39 --> 0:48:46
what I was wondering when I found all these records was how on earth would you make use of them? Okay.
689
0:48:48 --> 0:48:52
The thing is, when I was going through the records, there's [privacy contact redaction]s in New York, right?
690
0:48:53 --> 0:48:59
It's very difficult to find anything in that database just because there are so many records.
691
0:48:59 --> 0:49:02
You could be looking right at something that's problematic and not know it because the thing
692
0:49:02 --> 0:49:08
that makes it problematic is another record that's [privacy contact redaction] they're mixed in
693
0:49:09 --> 0:49:16
makes it very, very hard to find what you want if you're a bad guy. So if what you've done is you've
694
0:49:16 --> 0:49:[privacy contact redaction]rations and scattered them in the voter roll, in order to use
695
0:49:23 --> 0:49:30
them, you would have to have a way to find them again. Okay. And this problem or this idea bothered
696
0:49:30 --> 0:49:35
me a lot because as soon as I found these, I was thinking if there's no way to find these again,
697
0:49:36 --> 0:49:43
then this has to be some kind of an accident. Okay. So it's going to be some day that this is
698
0:49:43 --> 0:49:47
legitimate somehow. It's an error. It shouldn't be there. It's illegal. So it needs to be fixed,
699
0:49:48 --> 0:49:51
but it's not intentional. At least that's the way I was thinking at the time.
700
0:49:52 --> 0:49:59
So I wanted to keep my eyes open for something that would tag the record. Now, I was literally
701
0:49:59 --> 0:50:[privacy contact redaction]ing a tag of some kind. So I was thinking that they would alter somehow
702
0:50:03 --> 0:50:[privacy contact redaction] that would allow me to detect cloned records.
703
0:50:09 --> 0:50:15
And now I figured I probably didn't find all of the cloned records because obviously I don't know
704
0:50:15 --> 0:50:21
what they know. So the likelihood is that I found a lot of them and I probably have a few false
705
0:50:21 --> 0:50:25
positives in there. I wouldn't know which ones are which without talking to the people involved, but
706
0:50:26 --> 0:50:34
involved. But my guess was I had probably found 75 to 80% of all of the bad records. So it seemed
707
0:50:34 --> 0:50:[privacy contact redaction] to find the tagging mechanism. Now, when I looked at
708
0:50:39 --> 0:50:46
the data field and asked myself, so which of these data fields is the most logical to use as a tagging
709
0:50:46 --> 0:50:53
field, I settled on the ID numbers. And the reason is because the ID numbers are unique, or at least
710
0:50:53 --> 0:50:57
they're supposed to be unique. The names are. You can have a number of John Smiths, for instance, or
711
0:50:57 --> 0:51:03
my name, Andrew Paquette. I know of several Andrew Paquettes in America and a couple in Canada.
712
0:51:04 --> 0:51:08
One of the Americans, by the way, is apparently a career criminal. A friend of mine in California
713
0:51:08 --> 0:51:11
sends me newspaper articles about this guy every single time he steals a car.
714
0:51:13 --> 0:51:[privacy contact redaction] the same name. You can also have the same birthday. You could even have the same
715
0:51:17 --> 0:51:23
name and birth date, or the same address. Every time you add another layer, the complexity becomes
716
0:51:23 --> 0:51:29
a little bit less likely to happen, or to happen in volume. But it's possible. But the ID numbers
717
0:51:29 --> 0:51:[privacy contact redaction]etely unique. So I decided to look at the ID numbers. And the first problem is that
718
0:51:35 --> 0:51:[privacy contact redaction]ate ID number, which is the more important one, is eight digits for everyone. And as far as
719
0:51:42 --> 0:51:48
I could tell, they appeared to be completely randomized. What the programmers were looking at
720
0:51:48 --> 0:51:56
is, as you can probably see, it's very difficult to find. The reason was that, from his point of view,
721
0:51:56 --> 0:52:02
if you did put a tag in there, somebody was bound to find it. And so that would not work.
722
0:52:03 --> 0:52:10
So it turns out there was something there. They did find it, but it wasn't a tag. It was something
723
0:52:10 --> 0:52:[privacy contact redaction]ease go to the next slide?
724
0:52:17 --> 0:52:24
So I'm actually moving along with you. Okay. So actually, I already talked about this in the
725
0:52:24 --> 0:52:31
sentence. So let me go farther. Okay. So what I found was algorithms that associated the
726
0:52:31 --> 0:52:[privacy contact redaction]ate ID number by using a very specific counter, as in the
727
0:52:39 --> 0:52:46
algorithm that causes numbers to be associated in a specific and reversible way. So that association
728
0:52:46 --> 0:52:[privacy contact redaction]ed for the purposes of identifying special records. But because
729
0:52:51 --> 0:52:56
they're not actually altering the numbers, no one using the database would have any idea that this
730
0:52:56 --> 0:53:02
association was made. It's kind of like making a bunch of secret narratives. So it's like,
731
0:53:02 --> 0:53:10
kind of takes the database for all the voters in Australia, let's just say, and assigns each of the
732
0:53:10 --> 0:53:16
women to a certain man as a marriage, right? It records this secretly and doesn't tell them
733
0:53:16 --> 0:53:21
that in their database, these people are married. But the way they do it is something that they can
734
0:53:21 --> 0:53:[privacy contact redaction]s know who's married to who based on their database and that information
735
0:53:27 --> 0:53:31
is something that they can use to identify those people uniquely. So they did something like that
736
0:53:32 --> 0:53:38
in New York's federal and there are four algorithms. So I've made a chart here or an
737
0:53:38 --> 0:53:[privacy contact redaction]rate what they look like because they hit them very well by
738
0:53:46 --> 0:53:[privacy contact redaction]ate space into partition. So if you look at the way this is laid out, the county ID
739
0:53:53 --> 0:54:01
are on the x-axis and the state IDs are on the y-axis. Okay. And we have four patterns.
740
0:54:01 --> 0:54:08
We've got the button shingle metronome and spiral. Now I call these spiral metronome section
741
0:54:08 --> 0:54:[privacy contact redaction] of it is out of range. And the reason I describe it that way is because the
742
0:54:13 --> 0:54:[privacy contact redaction] a very specific, highly disciplined, mathematically
743
0:54:21 --> 0:54:[privacy contact redaction]er to them and they're deterministic and reversible. The out of range territory has a
744
0:54:27 --> 0:54:34
pseudo random quality that may be deterministic, but I, if it is, I haven't figured it out how yet.
745
0:54:35 --> 0:54:39
I can see them and I can see that there are different patterns, but I haven't been able to
746
0:54:39 --> 0:54:[privacy contact redaction] because they have the pseudo random quality here.
747
0:54:43 --> 0:54:49
But the point is by mixing the four algorithms this way and in such a way that only people who
748
0:54:49 --> 0:54:[privacy contact redaction]and the algorithms would be able to identify numbers that's belonging to,
749
0:54:53 --> 0:54:59
say, the shingle versus the tartan or the metronome, is that it actually creates the equivalent of
750
0:55:00 --> 0:55:05
flat so that you would not be able to see that there are any algorithms. So for instance, if I
751
0:55:05 --> 0:55:12
asked for all of the ID numbers for Clinton County, New York, it would include numbers that use
752
0:55:12 --> 0:55:16
all of these algorithms. And since they're all mixed together in the county, I would have no way
753
0:55:16 --> 0:55:[privacy contact redaction] any one of these algorithms because they're only visible if I see all of the counties
754
0:55:21 --> 0:55:29
together. So this partitioning of the number space was the first problem I had to deal with.
755
0:55:29 --> 0:55:33
But once I did that, and let's go to the next slide so I can show you what it looks like.
756
0:55:37 --> 0:55:38
Are we changing slides?
757
0:55:38 --> 0:55:40
Seconds, Andrew.
758
0:55:42 --> 0:55:49
Yeah, can you change the slide, please, to the next one? Thank you. Okay, so now we're looking at
759
0:55:49 --> 0:55:[privacy contact redaction] partitions look like. So you may recall in the previous slide I told you
760
0:55:54 --> 0:56:00
there are four algorithms. The primary algorithm that I've been dealing with is the spiral.
761
0:56:02 --> 0:56:07
And if you look at the image on the right, that shows how the counties are broken down. So what
762
0:56:07 --> 0:56:12
it does is it gives a certain range of numbers to each of these counties. I'm using a three character
763
0:56:13 --> 0:56:19
set of letters to identify each one. So it looks like it's in any county, Wyoming County,
764
0:56:20 --> 0:56:24
County of New York, etc. And on the left, you see the actual number ranges that are assigned
765
0:56:24 --> 0:56:31
to those counties. Now, they had another layer of optimization added here. New York State has
766
0:56:31 --> 0:56:37
assigned what's called a county code to each county. And this code is based on an alphabetized
767
0:56:37 --> 0:56:[privacy contact redaction] of the county. So Albany County, which is the highest in the alphabetized list,
768
0:56:41 --> 0:56:46
is county number one. And Allegheny, which is the next in the alphabetized list is county two.
769
0:56:46 --> 0:56:53
Yates, which is last, is county number 62. But if you put the numbers assigned to these counties
770
0:56:53 --> 0:56:[privacy contact redaction]er, which you see here in the looks like the fifth and the sixth columns,
771
0:56:59 --> 0:57:04
it scrambles the county code. So if you look at the county codes on the left, they're in
772
0:57:05 --> 0:57:[privacy contact redaction]er. I don't believe it's really random, but I haven't figured out what the
773
0:57:09 --> 0:57:15
order is. So I'm just saying it's scrambled for the time being. But that, by the way,
774
0:57:15 --> 0:57:20
prevented me from seeing these ranges for, I think it took me about a week to see that this
775
0:57:20 --> 0:57:[privacy contact redaction]ing that Allegheny would follow Albany and Bronx would follow
776
0:57:25 --> 0:57:31
Allegheny and so on. So I was looking for numbers that weren't there because they had scrambled this
777
0:57:31 --> 0:57:[privacy contact redaction] So let's take a look at what the spiral actually looks like in the database. Please go
778
0:57:36 --> 0:57:[privacy contact redaction] here on the left is a list of numbers that have been
779
0:57:47 --> 0:57:54
sorted by looks like the county ID number. Okay. So if you look at the county ID numbers,
780
0:57:54 --> 0:57:58
although they're not consecutive, they are sequential. Okay. And this is because they're
781
0:57:58 --> 0:58:04
missing county IDs. But if you look at the gap between the state ID numbers, you notice there are
782
0:58:04 --> 0:58:10
a bunch of 11 and then there's 12. Now the way this looks, and I've done a lot of research on this,
783
0:58:10 --> 0:58:17
so off the top of my head, I kind of tend to forget which view it is where they're every 10th row and
784
0:58:17 --> 0:58:21
which view is every 11th row. I think in this case we're looking at every 10th row. But basically
785
0:58:21 --> 0:58:29
what's going on here is they have scrambled these numbers in such a way that they're assigning to a
786
0:58:29 --> 0:58:[privacy contact redaction] of CID numbers, a list of SBO ID numbers that are consistently 11 units apart. And
787
0:58:36 --> 0:58:43
then on the 11th number is going to be 12 units apart. And every 100th, it's going to be 111 and
788
0:58:43 --> 0:58:49
every 1000th between 1100 and 1100 and every 10,000th of the 11,000 111, et cetera. So that's
789
0:58:49 --> 0:58:[privacy contact redaction]s come in. Now the reason every 10th record has a rep unit plus one is because
790
0:58:57 --> 0:59:04
that's making space for a rep unit from a higher order. So in this case it would be for a rep unit
791
0:59:04 --> 0:59:[privacy contact redaction]ance. And when you get to the higher order rep unit, you start seeing 12
792
0:59:12 --> 0:59:17
in the middle of the block of 10, but they always appear in exactly the same position. So if it's 100,
793
0:59:17 --> 0:59:22
it appears in the 9th position and if it's 1000, it appears in the 4th position and if it's 10,000,
794
0:59:22 --> 0:59:[privacy contact redaction] position. And if it's 100,000, you get a 100 and a 10,000 in the same block
795
0:59:30 --> 0:59:37
or something like that. Now what this looks like if you look at the CID numbers is the image on the
796
0:59:37 --> 0:59:45
right. And this is why I call it a spiral. So what they've done is they divide the numbers into
797
0:59:45 --> 0:59:52
powers of 10. So in this particular case, 11 corresponds to literally the number 10. But
798
0:59:52 --> 1:00:00
111 corresponds to 100 and 111 corresponds to 1000, etc. So if you look at the CID numbers that are
799
1:00:00 --> 1:00:07
assigned to each of those columns, you see that they make a spiral pattern. So the lowest number
800
1:00:07 --> 1:00:[privacy contact redaction] number is 10,000. You notice, look at the little arrow here,
801
1:00:12 --> 1:00:21
you go 7,377 to 7,387 and it goes down to 7,203 and then you go to the next row, which is 1000.
802
1:00:21 --> 1:00:26
And now all of a sudden, the next number isn't at the top anymore, it's at the bottom. There's a
803
1:00:26 --> 1:00:30
reason for this, but I'm going to skip that detail because there's a lot of women can talk like that.
804
1:00:32 --> 1:00:39
The numbers continue consecutively until 7,383 and then that cycles back up to the top of the row
805
1:00:39 --> 1:00:43
and then goes consecutively until it hits this number. And then it continues doing that,
806
1:00:43 --> 1:00:49
making essentially a spiral pattern in the number. So that's one calling the spiral.
807
1:00:51 --> 1:00:51
Next slide.
808
1:00:55 --> 1:01:01
And there we go. Okay. And they do another thing. This differs county by county. So not every county
809
1:01:01 --> 1:01:06
does this. And I'm actually showing you two transformations. Some counties do one, some
810
1:01:06 --> 1:01:13
counties do the other, some counties do both, and some counties do neither. And there are actually
811
1:01:13 --> 1:01:[privacy contact redaction]e of counties that are... Okay, Albert. Although I'm not the moderator, so it's up to him.
812
1:01:22 --> 1:01:[privacy contact redaction]ually do transformations that are unique to those counties. I'm not going
813
1:01:26 --> 1:01:31
to show those because they're not as generic as these two. So this is a CID transformation. So
814
1:01:31 --> 1:01:36
what they've done here is they've taken the CID numbers, which if you look at, let's see, it's
815
1:01:36 --> 1:01:42
count one, two, three, four. Okay. And you look at them, they don't appear to be in order. But if
816
1:01:42 --> 1:01:50
you look at the short ID, those are in consecutive order. Okay. So if you sort by short ID, you derive
817
1:01:50 --> 1:01:[privacy contact redaction]er is. Okay. So let's just look at this 149777. Okay. That's the third item
818
1:01:57 --> 1:02:03
down, right? Right under it is 14978 and then 149783. Right? So you've got a six-digit number
819
1:02:03 --> 1:02:08
followed by a five-digit followed by a six-digit. Okay. So these are going up and down by an order
820
1:02:08 --> 1:02:14
of magnitude. Right? So those don't appear to be related. But then, wait a minute, let's look here
821
1:02:14 --> 1:02:23
at this 1055 to highlight it. And then you go down 10 and 11, you get a 105500. So these numbers are
822
1:02:23 --> 1:02:30
actually very closely related. Look at this, the 1498 and then 14980 and then 149807. What they've
823
1:02:30 --> 1:02:39
done is they've decimalized these numbers. Okay. So I've gone ahead and I decimalized the numbers.
824
1:02:39 --> 1:02:44
You look at them sorted by decimalization and you see now these are in perfect order because by adding
825
1:02:44 --> 1:02:49
a decimal point to the left of each of these, which by the way is an improper way to decimalize
826
1:02:49 --> 1:02:[privacy contact redaction]ually changes the values of the numbers. For instance, a 10,
827
1:02:54 --> 1:02:[privacy contact redaction] the same value when they're decimalized. They're all going to be
828
1:02:58 --> 1:03:07
0.1. And by doing that, a million will actually sort before two. And two is obviously a smaller
829
1:03:07 --> 1:03:12
number, but when it's decimalized, it's the other way around. So what they do is they decimalize
830
1:03:12 --> 1:03:17
the CID numbers and then they sort them that way. And then they apply those numbers or map them
831
1:03:17 --> 1:03:22
through the SBO ID numbers after they've gone through the spiral algorithm. So in that way,
832
1:03:22 --> 1:03:28
they're actually obfuscating the numbers at both of those levels. Now on the right, what we see are
833
1:03:28 --> 1:03:33
a bunch of numbers from New York County. And what they did is they used an alpha transformation. So
834
1:03:33 --> 1:03:[privacy contact redaction], have an alpha component. When I say some of them anyway,
835
1:03:38 --> 1:03:45
I want to say that it's about 30 or 40% of all of their numbers have an alpha character. Okay.
836
1:03:46 --> 1:03:[privacy contact redaction]ate ID number, which you see here, these are all
837
1:03:51 --> 1:03:57
consecutive numbers here in this middle row. And then you look at the CID numbers, you'll see
838
1:03:57 --> 1:04:[privacy contact redaction]arts the number changes every time. Just like you see these numbers being
839
1:04:03 --> 1:04:[privacy contact redaction]arts with 1055 on the other side. Okay. So it's the same kind
840
1:04:09 --> 1:04:14
of transformation, but it's being done using letters. Now, the thing that makes this so tricky
841
1:04:14 --> 1:04:[privacy contact redaction] an alpha character in them. Okay. So with that, now if they
842
1:04:20 --> 1:04:24
did, it would be a totally different story because then what would happen is you go ahead and sort
843
1:04:24 --> 1:04:29
these and it would sort all the A's and then all the B's and then all the C's separately from each
844
1:04:29 --> 1:04:35
other. Right. But because they're mixed, what happens is you have these alpha numeric
845
1:04:37 --> 1:04:43
numbers that are sort of kind of in the middle of everything else. There is absolutely no way
846
1:04:43 --> 1:04:49
with any tool I am familiar with to do this. You can't reproduce this. It's impossible. The
847
1:04:49 --> 1:04:[privacy contact redaction] to get this is to write code that specifically adds these alpha characters to
848
1:04:55 --> 1:05:[privacy contact redaction]er. It has to have been done intentionally like that.
849
1:05:01 --> 1:05:06
And there's literally no way to reproduce this order other than, well, okay, there is a way. It's
850
1:05:06 --> 1:05:11
by sorting by short ID, but you can't do it by sorting the CID numbers. You have to sort the
851
1:05:11 --> 1:05:15
state ID numbers. And the only reason that works is because of the algorithm they use to assign
852
1:05:15 --> 1:05:22
these things. So in my opinion, this was very tedious. Now, again, in some cases, what they did
853
1:05:22 --> 1:05:30
is they did both of these things. So you have both the CID number being decimalized and you have an
854
1:05:30 --> 1:05:[privacy contact redaction]ic in addition to that. And let's look at something else that you might find
855
1:05:35 --> 1:05:[privacy contact redaction]ing. I don't know if any of you guys noticed this while I was bothering on, but the
856
1:05:39 --> 1:05:[privacy contact redaction]ration dates, take a look at those. These are all January 1st. Now, I don't know about you, but
857
1:05:44 --> 1:05:48
in America, January 1st is the day when most federal buildings are closed.
858
1:05:48 --> 1:05:55
Now, I have had a very poor explanation for this by actually, it wasn't given to me directly,
859
1:05:55 --> 1:05:[privacy contact redaction] them say as an explanation in a state board of elections,
860
1:05:58 --> 1:06:[privacy contact redaction]ained this as young drivers who, when they got the driver's
861
1:06:04 --> 1:06:09
license, they became what's called pre-registered. So they're not able to vote legally, but their
862
1:06:09 --> 1:06:[privacy contact redaction]em is automatically activated on their birthday. So if they happen
863
1:06:14 --> 1:06:[privacy contact redaction], then it would look like they've been registered on January 1st.
864
1:06:19 --> 1:06:26
However, this applied to about somewhat less than 5,[privacy contact redaction]ually had a birthday
865
1:06:26 --> 1:06:[privacy contact redaction] a million people who had a January 1st registration date
866
1:06:32 --> 1:06:[privacy contact redaction]ied to about 0.05% of the full database. This is not a very
867
1:06:37 --> 1:06:[privacy contact redaction]anation for where I come from. Okay, so let's go to the next slide.
868
1:06:42 --> 1:06:49
Yep. Okay, I hope you guys continue when I take a drink of water so they can help.
869
1:06:52 --> 1:06:56
So what they do is they're stacking the deck, and then they use the shift type, or essentially,
870
1:06:56 --> 1:07:05
to do what they're doing here. So this block of numbers that you see on the left is my solution
871
1:07:05 --> 1:07:11
to the algorithm, and it works. So this is how they do it. If you have this, and you have the
872
1:07:11 --> 1:07:16
formulas that I put in each one of those cells, you would be able to predict how they're going
873
1:07:16 --> 1:07:22
to map all the numbers to each other. Okay? So what they do is they start with the minimum and
874
1:07:22 --> 1:07:28
maximum values for the range for that county. Now, if you recall, and I'm not going to make you go
875
1:07:28 --> 1:07:33
back to it because it'll be complicated directing me that way, but I gave you the list that showed
876
1:07:33 --> 1:07:40
the ranges. SBO ID number X to SBO ID number Y is, for instance, Allegheny County. Okay? So they had
877
1:07:40 --> 1:07:[privacy contact redaction] code what those ranges were going to be. Okay? And then what they had to do is they had to
878
1:07:47 --> 1:07:53
calculate how many numbers were in that range. Okay? So that calculation is pretty easy. It's
879
1:07:53 --> 1:07:[privacy contact redaction]us one because it's inclusive. These are actual things, numbers.
880
1:07:59 --> 1:08:06
And then what they had to do is they assign one to the minimum value, which is going in a zero
881
1:08:06 --> 1:08:11
column. Now that that number is assigned, it's no longer available. So the range has to be adjusted.
882
1:08:11 --> 1:08:19
So it goes from range 969351 to 969350. Okay? Now what they do is they go to the highest rep unit.
883
1:08:19 --> 1:08:23
Notice they go from the minimum to the maximum. Okay? So in this particular example, the highest
884
1:08:23 --> 1:08:[privacy contact redaction] is 111,111, which goes in the 100,000 power column. Okay? So now what they have to do
885
1:08:30 --> 1:08:[privacy contact redaction] fits in this adjusted range, which in this case is eight. So
886
1:08:37 --> 1:08:[privacy contact redaction] that eight from this and they get this new adjusted range. And they keep on
887
1:08:42 --> 1:08:[privacy contact redaction] down until they've assigned all the numbers to one of these columns. Okay?
888
1:08:48 --> 1:08:53
And then what they do once they've assigned these numbers is they shift the numbers. Okay? But the
889
1:08:53 --> 1:08:[privacy contact redaction]ep, I'm going to show you the shift in just a second, is stacking the deck. And the way
890
1:08:57 --> 1:09:[privacy contact redaction]ack the deck is by making these columns. So in this case, one, two, three, four, five,
891
1:09:01 --> 1:09:06
six, seven columns. So this is like a seven player game of poker. Okay? Where each one of these
892
1:09:06 --> 1:09:[privacy contact redaction]ayer. So what they're doing is they're placing the equivalent of cards,
893
1:09:12 --> 1:09:18
that is to say group of numbers, that are going to each one of these players. And so all the
894
1:09:18 --> 1:09:[privacy contact redaction]s that are 111,[privacy contact redaction]ayer in the 100,000 position. And in
895
1:09:25 --> 1:09:[privacy contact redaction], all the numbers that are 10 apart are going to go, or rather 11 apart, are going to
896
1:09:31 --> 1:09:[privacy contact redaction]ayer in the 10 position. Okay? So that's stacking the deck. But they actually make it a
897
1:09:36 --> 1:09:[privacy contact redaction] they interlace these numbers. So we just go to the next
898
1:09:41 --> 1:09:47
slide. Okay. Oh, wait. There it is. All right. So this is the Caesar cipher at the top. It's
899
1:09:47 --> 1:09:53
known as the shift cipher, which is one of the easiest forms of cipher you could use. And pretty
900
1:09:53 --> 1:09:59
much everybody learns this on day one of cipher school, or at least that's my guess, considering
901
1:09:59 --> 1:10:07
what I've read on the internet. So what they do is they have the full alphabet, A through Z.
902
1:10:07 --> 1:10:[privacy contact redaction]ers. Now, of course, you can shift it to any number of characters, but
903
1:10:11 --> 1:10:16
the traditional Caesar cipher, you shift it to three. And this pushes the X, Y, Z out of place.
904
1:10:16 --> 1:10:22
So you put those at the beginning, and now you map them. So the A is now equal to X, B is equal to Y,
905
1:10:22 --> 1:10:27
C to Z, et cetera, all the way down. So that's what a shift cipher is. So what they do with all
906
1:10:27 --> 1:10:34
those columns is, you see here that, now in this case, I'm using a group of numbers that doesn't
907
1:10:34 --> 1:10:39
have enough numbers to go to 100,000. So it starts with 10,000 here. Okay. So what they do is they
908
1:10:39 --> 1:10:48
shift all of the numbers by three quarters of a rep unit, which is, in the case of 10,000,
909
1:10:52 --> 1:11:01
I'm blanking on it for a minute there, 8,333. And then 1,833, and then 838, and then one. Okay.
910
1:11:01 --> 1:11:06
But they've also got something else hard-coded into the system, and that is that the last number
911
1:11:07 --> 1:11:16
in each of these rows has to be in rank order a three-quarter rep unit. So if you go back to the,
912
1:11:16 --> 1:11:23
let's go back to the previous question for a second. Okay. So now I have to go back there.
913
1:11:23 --> 1:11:28
All right. So if you look at each one of these columns, if you look all the way to the top row
914
1:11:28 --> 1:11:34
where it says min, okay, so for the 100,000 columns, that number is the minimum number plus,
915
1:11:36 --> 1:11:43
in this case, I think it's 83,333, and then the 10,[privacy contact redaction]us 8,333, et cetera. Okay.
916
1:11:44 --> 1:11:48
But this is important. If you go down, you see this AID, you see the AID all in caps, you see
917
1:11:48 --> 1:11:[privacy contact redaction] and then high and then low and then last, right? Okay. So that is related to what I was just
918
1:11:53 --> 1:11:59
showing you. The AID is the algorithm ID because the algorithm actually creates an ID in order to
919
1:11:59 --> 1:12:03
do the sorting process. And the reason I know that is because they've hard-coded it that the last
920
1:12:03 --> 1:12:11
number in each of these columns has to be one of these three-quarter rep units. Okay. So, and that
921
1:12:11 --> 1:12:21
is after it hits nine. Okay. So in this case, the 100,000 row or column rather is not cut because
922
1:12:21 --> 1:12:28
there aren't enough numbers, but once you hit the 10,000 column, they are. So this is cut at 83.
923
1:12:28 --> 1:12:[privacy contact redaction] number. So you count from zero, one, and then you count eight more numbers here.
924
1:12:33 --> 1:12:38
It's nine. And then the number after nine, notice, is 10. That's eight cut low. And then you go down
925
1:12:38 --> 1:12:43
to the bottom and that's 83. And then it cycles back up to the top where the 84th number is the
926
1:12:43 --> 1:12:[privacy contact redaction] number in this column, goes down to 96. And from there, you see the spiral. Now it goes to 97,
927
1:12:47 --> 1:12:54
which is the low cut on the next column, it goes to 833, et cetera. Okay. And notice how these
928
1:12:55 --> 1:12:59
three-quarter rep units keep going up all the way across. So that's the shift part of the Cypher.
929
1:12:59 --> 1:13:07
So let's go to the next slide, please. Is this one missing ID numbers with spiral or this one?
930
1:13:07 --> 1:13:13
Yep. Okay. Nope. Nope. Nope. There we go. Okay. So now I hope you kind of understand how this works.
931
1:13:13 --> 1:13:16
It's actually got a few details I'm not talking about again, because
932
1:13:18 --> 1:13:23
the details I'm giving you are complicated enough. I don't want to make it worse. So in
933
1:13:23 --> 1:13:27
this particular case, I'm able to do something because of my knowledge of the spiral that I
934
1:13:27 --> 1:13:34
should not be able to do. Okay. I can tell based on your ID number, what numbers have been deleted
935
1:13:34 --> 1:13:40
from the database and who they originally belonged to. Okay. Now, if I was somebody working for the
936
1:13:40 --> 1:13:[privacy contact redaction]ate, and I wanted to know that information, but I didn't know anything about
937
1:13:44 --> 1:13:49
the algorithm, it would be impossible to do. And if I tried to use the method that I'm using,
938
1:13:49 --> 1:13:53
again, without knowledge of the algorithm, it would also be impossible. And the reason is because the
939
1:13:53 --> 1:13:59
spiral shingles, metronome and tartan patterns are all intermingled. So I wouldn't be able to
940
1:14:00 --> 1:14:[privacy contact redaction]er of the numbers that's required to find the missing CID numbers,
941
1:14:06 --> 1:14:[privacy contact redaction] discovered that all of the missing records are cloned. Okay. So what I can do is
942
1:14:12 --> 1:14:23
this. So I go ahead and I work out the solution to a county's records, right? And I'm doing that
943
1:14:23 --> 1:14:27
using the method I showed you before. What that does is it gives me an opportunity to calculate
944
1:14:27 --> 1:14:31
what the numbers should be. And then I compare them to the numbers that are actually there.
945
1:14:31 --> 1:14:35
And that tells me when I'm missing numbers. Now, you could say, and you'd be right,
946
1:14:35 --> 1:14:39
well, you could find out which ones are missing as long as you know the range for that county,
947
1:14:39 --> 1:14:43
because all the numbers are assigned, right? Well, I would say to you, no, I don't know that all the
948
1:14:43 --> 1:14:47
numbers are assigned at that level. All I know is that there are those numbers are assigned to that
949
1:14:47 --> 1:14:51
county, not whether they were assigned. What tells me they were assigned is the ID number.
950
1:14:52 --> 1:14:57
So once I've got this arranged, what I've done is I've gone ahead and I've created these black bars,
951
1:14:57 --> 1:15:[privacy contact redaction] calculated that there should be a state ID, but there isn't one.
952
1:15:03 --> 1:15:09
Okay. But I do notice that when I look at the actual state ID, the numbering continues
953
1:15:09 --> 1:15:[privacy contact redaction]ions, right? So then what I do is I take a look at what
954
1:15:14 --> 1:15:20
the CID number was supposed to be. Okay. So in this case, there's no SBO ID number, but I see that
955
1:15:20 --> 1:15:25
the difference between the two CID numbers that bracket it is this number in the middle. So in
956
1:15:25 --> 1:15:32
this case, it's 1,086, it jumps to 1,088. So obviously it's missing 1,087. So I looked up
957
1:15:32 --> 1:15:38
the ID number 1,087 for that county and I find who is associated with that number. And at that
958
1:15:38 --> 1:15:43
point, the person on the other side can say, well, that's not a deleted number. What it is,
959
1:15:43 --> 1:15:47
is it's a number that's been assigned to a different person, just as illegal.
960
1:15:49 --> 1:15:[privacy contact redaction] the benefit of having seen multiple databases and I know for sure that
961
1:15:56 --> 1:16:01
these, what they've done here is they've taken another SBO ID number, actually the missing SBO
962
1:16:01 --> 1:16:07
ID number that is associated with this CID number and another SBO ID number. And they've gone ahead
963
1:16:07 --> 1:16:14
and deleted this SBO ID number leaving the other one. Okay. And that tells me that these are all
964
1:16:14 --> 1:16:[privacy contact redaction] of covering up the former existence of clones. But the problem
965
1:16:19 --> 1:16:23
is once they do this, they're deleting the evidence of whatever crime might've been committed with
966
1:16:23 --> 1:16:28
that ID number. Now, of course, this is assuming crime was committed, but I think it's
967
1:16:28 --> 1:16:[privacy contact redaction]ance, if this missing record was used to vote illegally,
968
1:16:35 --> 1:16:39
okay. And then they delete the number, but they leave the rest of the record now associated with
969
1:16:39 --> 1:16:[privacy contact redaction] doesn't reflect the voter history that is now missing.
970
1:16:45 --> 1:16:[privacy contact redaction] all your evidence. Yes. Did you want to say something?
971
1:16:49 --> 1:16:50
No, keep going.
972
1:16:50 --> 1:16:55
Okay. I'll just say that was just me. All right. So this is kind of interesting that I can use my
973
1:16:55 --> 1:17:02
knowledge of the algorithm to learn something about people in the database that should be
974
1:17:02 --> 1:17:06
unknowable based on their number alone. Okay. So let's go to the next slide, please.
975
1:17:10 --> 1:17:19
Okay. So this is what the AID looks like and how it's organized. I really want to explain all this.
976
1:17:19 --> 1:17:25
Okay. So if you look at the AID number, they have all these like critical points that are important.
977
1:17:25 --> 1:17:30
Right? So you've got your number one, number eight, and 75. Each one of these corresponds to
978
1:17:30 --> 1:17:[privacy contact redaction]ance to the minimum SBO ID number. That's quite interesting. So the first AID is one unit
979
1:17:37 --> 1:17:42
away from the minimum number. And then you've got the eighth one is nine away and 10 is 11,
980
1:17:42 --> 1:17:47
et cetera, et cetera. And actually I could see a mistake here. The [privacy contact redaction]ually 83 apart, not 82.
981
1:17:48 --> 1:17:[privacy contact redaction] when I made this. So I wasn't aware of that. But anyway, the point is
982
1:17:53 --> 1:18:[privacy contact redaction] coded into the algorithm. The spiral is proven to exist. There is absolutely
983
1:18:00 --> 1:18:09
no chance whatsoever that this could accidentally find its way into the state voter rolls for 59
984
1:18:09 --> 1:18:[privacy contact redaction], I say 59, not 62 because three counties use a different algorithm, which
985
1:18:15 --> 1:18:23
we'll get to in a little bit. But the point is here that these can be used for tracking data.
986
1:18:25 --> 1:18:[privacy contact redaction] ID number. And that ID number is not going to be known to
987
1:18:32 --> 1:18:[privacy contact redaction]ate level who doesn't know anything about the algorithm. And
988
1:18:36 --> 1:18:41
everyone I've talked to at those levels has no idea what the algorithm is even there. And one guy
989
1:18:41 --> 1:18:47
actually has expressed skepticism to which I just replied, look, you'll find it. And by the way,
990
1:18:47 --> 1:18:[privacy contact redaction] in case you guys are curious, I shared my findings with other researchers, at least two of
991
1:18:51 --> 1:18:[privacy contact redaction] independently verified this with their own data. So I asked them, I said, look, I'm not
992
1:18:56 --> 1:19:03
going to send you the version of the voter rolls that was obtained for my research. You get your own
993
1:19:03 --> 1:19:08
copy. Okay. So a lady in North Carolina or South Carolina, I forget which, North or South, it was
994
1:19:08 --> 1:19:[privacy contact redaction]ed the voter rolls directly from the state and got them and was able
995
1:19:13 --> 1:19:[privacy contact redaction]ly my findings in Schenectady County. And another researcher in Florida did the
996
1:19:20 --> 1:19:24
same thing. So we're talking multiple different versions of the voter rolls all show this.
997
1:19:26 --> 1:19:33
So it's there. Now, the thing is, this does not tag each record with the fact that it's cloned. I
998
1:19:33 --> 1:19:[privacy contact redaction]etely unable to find a clear and convincing link between having a specific number
999
1:19:40 --> 1:19:[privacy contact redaction] However, it does provide a very clear and convincing new ID number
1000
1:19:47 --> 1:19:53
and that ID number can be used to access all the records. So what better way to track records,
1001
1:19:53 --> 1:20:[privacy contact redaction]etely covertly than by giving all of the records, good and bad, a new ID number that
1002
1:20:00 --> 1:20:04
nobody knows is there. Okay. So then what you can do is you can have your unauthorized copy of the
1003
1:20:04 --> 1:20:11
database and you can go ahead and use these new ID numbers to track everything. And that way,
1004
1:20:11 --> 1:20:15
you know, which are good and bad and the information, which is good and bad is never present on the
1005
1:20:15 --> 1:20:[privacy contact redaction]ually done. Is that I can't prove that for sure unless I have
1006
1:20:26 --> 1:20:30
access to that other database, presuming it exists. And if you're all meeting my defense
1007
1:20:30 --> 1:20:37
guys, you probably have a couple of times on that. So if you would please go to the next slide.
1008
1:20:41 --> 1:20:[privacy contact redaction], pardon the frequent sips of water. I went swimming every time my body
1009
1:20:47 --> 1:20:[privacy contact redaction]ink a lot of water. Okay. So now what we're looking at is
1010
1:20:53 --> 1:20:[privacy contact redaction]s of the shingle algorithm. The shingle algorithm is, I would say, probably
1011
1:20:59 --> 1:21:[privacy contact redaction] suspicious of the four algorithms. Now, if you look at the image or the scatter plot on
1012
1:21:06 --> 1:21:14
the left, you're looking at the out of range active record. Okay. The SPO ID number is on the
1013
1:21:14 --> 1:21:19
Y axis. The CID number is on the X axis. This is how to normally do it. So if I don't say anything,
1014
1:21:19 --> 1:21:[privacy contact redaction] assume that's the case. So what you should see here is when you look at the active records,
1015
1:21:24 --> 1:21:28
all of the numbers are vertically aligned. If you look at the next image on the right,
1016
1:21:29 --> 1:21:[privacy contact redaction]s, and this looks like almost 2.[privacy contact redaction]
1017
1:21:35 --> 1:21:42
6 million on the other side, this is only purged records. So what you see here are the same columnar
1018
1:21:42 --> 1:21:[privacy contact redaction]ive records, but you also see a bunch of horizontal lines.
1019
1:21:48 --> 1:21:54
Those horizontal lines are the shingle algorithm. Okay. Now, this is a very poor representation of
1020
1:21:54 --> 1:21:59
it because we're looking at, as I said, about 2.[privacy contact redaction]s represented by, what, a couple
1021
1:21:59 --> 1:22:[privacy contact redaction]ed dots. I'll show you the structure in another slide in a minute. But what's going on
1022
1:22:04 --> 1:22:10
is that this particular algorithm creates very specific shapes that I can use to extract the
1023
1:22:10 --> 1:22:16
numbers so I know that they belong to the shingle as opposed to the tartan, which is these more
1024
1:22:16 --> 1:22:23
vertical lines. Okay. But the point I wanted to make with this particular slide is that the
1025
1:22:25 --> 1:22:32
numbers tell me that they're purged. Okay. So all of these horizontal records are 100% purged,
1026
1:22:33 --> 1:22:41
and they are also 100% of the shingle algorithm, which means that whoever assigned those numbers
1027
1:22:41 --> 1:22:46
using the shingle algorithm knew they were purged at the time they created the numbers.
1028
1:22:46 --> 1:22:50
Why would you do that? Because a purged record is ineligible to vote and must be removed from the
1029
1:22:50 --> 1:22:58
database after it's been there for two years, and all these records are quite old. There's no legal
1030
1:22:58 --> 1:23:02
reason or legitimate reason that I've been able to come up with for doing this. However, there is
1031
1:23:02 --> 1:23:[privacy contact redaction]acular reason for doing this if you have nefarious intent, and that is that these become
1032
1:23:07 --> 1:23:[privacy contact redaction]ration numbers for when you want them. And then what you can do
1033
1:23:14 --> 1:23:[privacy contact redaction]ive, use them to vote, and then go ahead and deactivate
1034
1:23:19 --> 1:23:[privacy contact redaction]ion certified, and then they go back to looking like they're not doing anything,
1035
1:23:24 --> 1:23:[privacy contact redaction] been used. And coincidentally, a lot of these, and I say a lot
1036
1:23:31 --> 1:23:36
because I don't remember the exact number, but it's significant, are also numbers that have no
1037
1:23:36 --> 1:23:41
purge date. It's significant enough that I would say there's a causal relationship there somehow.
1038
1:23:41 --> 1:23:[privacy contact redaction]ing. So let's look at what the structure of the shingle is. So let's
1039
1:23:45 --> 1:23:[privacy contact redaction]ease. Okay, great. So on the left we're seeing what a normal sequential
1040
1:23:54 --> 1:23:58
assignment of numbers would look like, right? So if the numbers on the x-axis are CID numbers,
1041
1:23:58 --> 1:24:03
and then the vertical axis are SPID numbers, and they're assigned on a first come first serve basis,
1042
1:24:03 --> 1:24:08
you're going to get a graph that looks just like this. It's going to be a 45 degree angle ascending
1043
1:24:08 --> 1:24:15
line, okay? This is because the numbers are going up in both directions, right? So you get a request
1044
1:24:15 --> 1:24:[privacy contact redaction]ration number, and you get the next available number. That's the line you get.
1045
1:24:20 --> 1:24:[privacy contact redaction] some gaps in the line, because let's just say you're
1046
1:24:24 --> 1:24:31
Stoke-Harris County, and Brooklyn or Kings County goes ahead and sends in a bunch of new registrations
1047
1:24:31 --> 1:24:35
in the middle of them dealing with your request. What's going to happen is if you look at only
1048
1:24:35 --> 1:24:40
Stoke-Harris records, you're going to see a gap, because those numbers would have been assigned to
1049
1:24:40 --> 1:24:43
Kings County, and then you go back to your numbers. But it doesn't really matter that there's a gap.
1050
1:24:43 --> 1:24:[privacy contact redaction]ill going to continue to ascend. They're never going to go
1051
1:24:47 --> 1:24:[privacy contact redaction]s in time, okay? But the actual shingle algorithm does what we see in these upper two
1052
1:24:53 --> 1:24:59
images on the right. It creates this zigzag pattern. Now the interesting thing, and then it just keeps
1053
1:24:59 --> 1:25:03
on overlapping itself. Now the thing that's interesting about this is that the numbers go
1054
1:25:03 --> 1:25:10
up and down, okay? So if you look at the first number, right? That's already higher
1055
1:25:11 --> 1:25:16
than later numbers in the sense that you see this number one, and you see 11, and it's a 21.
1056
1:25:18 --> 1:25:26
The 11 has a lower SBOID number than the one, okay? So as far as the county is concerned,
1057
1:25:26 --> 1:25:30
they're actually counting backwards here, and they do this over and over again with large
1058
1:25:30 --> 1:25:36
volumes of numbers. And if you look at the blue chart on the bottom right, okay? What you see is
1059
1:25:36 --> 1:25:42
what the shingle algorithm looks like and the Torton algorithm together. So these sort of
1060
1:25:42 --> 1:25:50
scattered numbers you see on the left, they're very sparsely arranged, and then the kind of block
1061
1:25:51 --> 1:25:55
of a column on the right, those are actually part of the same pattern. It's just that the pattern
1062
1:25:55 --> 1:26:00
on the left is less well developed. But in between, you have the shingle. And if you zoom in on the
1063
1:26:00 --> 1:26:05
shingle, it looks like these zigzag patterns that I just showed you. But the pattern made by the
1064
1:26:05 --> 1:26:13
Torton is more like a bunch of arcs. It's defined by three to five dots. So we have here two different
1065
1:26:13 --> 1:26:19
algorithms that were, by the way, assigned at the same time, okay? So that's what the shingle looks
1066
1:26:19 --> 1:26:25
like. So let's go to the next one. This is a metronome. Okay, so the way the metronome works
1067
1:26:25 --> 1:26:[privacy contact redaction] number at one extreme of the CID range and then shoots all the way over
1068
1:26:32 --> 1:26:37
to the other extreme of the CID range and then keeps going back and forth, dropping numbers as
1069
1:26:37 --> 1:26:43
it goes in a semi-random pattern. Now, by the time it's done, what you get is a scatter plot like
1070
1:26:43 --> 1:26:50
this one you see on the right, which is almost all black, okay? It appears to be the equivalent of
1071
1:26:50 --> 1:26:57
a 2D computer graphics flood fill program. So this is, by the way, the first time in my life
1072
1:26:57 --> 1:27:[privacy contact redaction]ot that looked like a flood fill, but that's exactly what this does.
1073
1:27:02 --> 1:27:[privacy contact redaction]ing thing about the metronome is that it's assigned to counting 15, 30, and 60. So
1074
1:27:06 --> 1:27:14
that's 15 times 2 is 30 times 2 is 60. I don't know what the significance of that is, but based
1075
1:27:14 --> 1:27:20
on everything else I found, I do believe it is significant somehow. But the point again in this
1076
1:27:20 --> 1:27:[privacy contact redaction]e algorithms operating in the same space, ostensibly for the same
1077
1:27:30 --> 1:27:36
purposes and also assigned at approximately the same time. So let's go to the next slide, please.
1078
1:27:38 --> 1:27:43
Okay, so this is the Tartan algorithm. Now, you might notice this is red and blue. The red dots
1079
1:27:43 --> 1:27:[privacy contact redaction]s and the blue dots are the records that, as far as we could tell,
1080
1:27:47 --> 1:27:55
were good. So this should tell you there are a lot of suspicious records. And in fact, the largest
1081
1:27:55 --> 1:28:[privacy contact redaction]s are found in the Tartan region. So this is where you're going to find a
1082
1:28:01 --> 1:28:07
person who's got [privacy contact redaction]s assigned on the same day with different ID numbers. So the fact that
1083
1:28:07 --> 1:28:13
these algorithms are present in the roles is a concern to me and I think should be a concern to
1084
1:28:13 --> 1:28:18
any authority who are responsible for maintaining these databases. I mean, clearly on the basis of
1085
1:28:18 --> 1:28:24
the presence of the cloned or counterfeit records and the presence of the forged signatures, or if
1086
1:28:24 --> 1:28:[privacy contact redaction], mechanically duplicated signatures, that all by itself
1087
1:28:28 --> 1:28:[privacy contact redaction]igation. But the algorithms are a different order of problem
1088
1:28:34 --> 1:28:42
because the algorithms allow external manipulation of the records themselves in a way that is almost
1089
1:28:42 --> 1:28:[privacy contact redaction]ually, I would say that without access to somebody else's computer
1090
1:28:48 --> 1:28:54
who's responsible for this, it would be undiscoverable what they're doing. All I can see
1091
1:28:54 --> 1:28:59
by deciphering the algorithms is I can see that something is happening. And I can kind of get an
1092
1:28:59 --> 1:29:04
idea of what's going on and what it's related to, but to say exactly what they've done is really
1093
1:29:05 --> 1:29:[privacy contact redaction] to do. So let's go to the next slide, please. Next slide.
1094
1:29:14 --> 1:29:[privacy contact redaction]ill there, whoever you are? Yes, I'm still here. Can you see that? I'm showing.
1095
1:29:20 --> 1:29:26
Can you advance? Can you advance the slide, please? Well, I'm advancing. Why were these
1096
1:29:26 --> 1:29:33
algorithms used is what I've got on the screen now. Okay, I should see on my screen, I'm seeing the
1097
1:29:33 --> 1:29:[privacy contact redaction]ates. Good. Now other states is on the screen. Yeah, there we go.
1098
1:29:41 --> 1:29:48
Okay, so in Hawaii, what they do, they have a 32 digit UUID, which is essentially unbreakable. A
1099
1:29:48 --> 1:29:53
friend of mine in Pennsylvania discovered that they had tagged about 10% of their records,
1100
1:29:53 --> 1:29:[privacy contact redaction]ing number, with a 12 digit algebraic sequence. So what they did is they took the last
1101
1:29:58 --> 1:30:03
12 digits of a little over 100,[privacy contact redaction]s. There's only a million registered voters in Hawaii.
1102
1:30:04 --> 1:30:[privacy contact redaction]d those 12 digits with the same [privacy contact redaction]s. So
1103
1:30:10 --> 1:30:14
what happens is if you're somebody who's working at the county clerk's office in Hawaii,
1104
1:30:15 --> 1:30:18
and you run across one of these numbers, it's going to look like all the rest of the numbers.
1105
1:30:18 --> 1:30:[privacy contact redaction]ent. You would have to have maybe 100 or 200 of these numbers right in
1106
1:30:24 --> 1:30:28
front of you. And you'd have to be scrutinizing those numbers very carefully in order to see
1107
1:30:29 --> 1:30:33
what they had done. It's easier to see when you put the numbers really close to each other, but
1108
1:30:33 --> 1:30:37
that's the thing is that what they did counts on the fact that they're going to be separated
1109
1:30:37 --> 1:30:41
because they're in different counties and they've got different last names and so on. So it's very
1110
1:30:41 --> 1:30:47
unlikely that anyone working their database is actually going to see this 12 digit tag that they
1111
1:30:47 --> 1:30:[privacy contact redaction]s. Now in Hawaii, they didn't give as much information in their
1112
1:30:53 --> 1:30:[privacy contact redaction] in New York. So I was unable to ascertain whether they were clones or not,
1113
1:30:58 --> 1:31:02
because they didn't have birth date information. But those records are suspicious and worthy of
1114
1:31:02 --> 1:31:[privacy contact redaction]igation because that tag can be used literally to tell the difference between that
1115
1:31:08 --> 1:31:[privacy contact redaction]s. In New Jersey, what they did, they actually did use the cipher algorithm.
1116
1:31:14 --> 1:31:20
And this one I thought was more devious than the one in New York, but I figured it out a little
1117
1:31:20 --> 1:31:[privacy contact redaction] an 11 digit number and they broke it into three components
1118
1:31:26 --> 1:31:[privacy contact redaction] component and put it in the middle and they took the second component
1119
1:31:30 --> 1:31:37
and put it at the end. And then they converted the middle component into a hex value and then
1120
1:31:38 --> 1:31:42
they turned the entire number into a hex value and then that's how you got the
1121
1:31:43 --> 1:31:49
number that it really was. So that was very complicated and I think I actually misstated
1122
1:31:49 --> 1:31:54
part of that. But that's the idea is that they're scrambling the position of the numbers and
1123
1:31:54 --> 1:32:01
they're using hexadecimal values in place of what they actually had. And then Ohio and North
1124
1:32:01 --> 1:32:06
Carolina, what you're looking at right now is a scatter plot of Mahoning County. Actually,
1125
1:32:06 --> 1:32:13
it's a partial scatter plot that shows a pattern that is very similar to the Tartan in some respect.
1126
1:32:14 --> 1:32:21
And North Carolina has something else that's also similar to New York's Tartan pattern. But
1127
1:32:21 --> 1:32:[privacy contact redaction]ingly enough, in other counties in Ohio, they don't use this algorithm. They have
1128
1:32:25 --> 1:32:[privacy contact redaction]ly like that normally ascending line that I showed you earlier.
1129
1:32:30 --> 1:32:34
But this particular county is one of their larger counties where it would be easier to
1130
1:32:35 --> 1:32:[privacy contact redaction] that many more voters that you could mix the take those in with.
1131
1:32:40 --> 1:32:41
So let's go to the next slide, please.
1132
1:32:44 --> 1:32:47
Yep. Why were these algorithms used?
1133
1:32:47 --> 1:32:53
Next slide. Yeah, yeah, I'm not seeing it on the screen, but that's the slide I want.
1134
1:32:54 --> 1:32:57
That's up there. I presume others can see that.
1135
1:32:59 --> 1:33:[privacy contact redaction]ates.
1136
1:33:01 --> 1:33:06
I've moved from other states. There was other states and now come to why were these used.
1137
1:33:06 --> 1:33:08
Yeah, that's true.
1138
1:33:08 --> 1:33:08
Can you click?
1139
1:33:11 --> 1:33:14
Who's right? Am I? Are you? There you go. Now I see it. Okay.
1140
1:33:14 --> 1:33:19
I think it's your bandwidth problem, Andrew.
1141
1:33:21 --> 1:33:26
Oh, okay. So the thing is, is that there are no privacy concerns whatsoever. Now, normally when
1142
1:33:26 --> 1:33:34
you mask numbers or you encrypt them, you do it because for security or privacy. And in both cases,
1143
1:33:34 --> 1:33:37
what you're doing is you're either changing the numbers to something else. Like I've got a friend
1144
1:33:37 --> 1:33:44
who works for an insurance company and every time they send data out, they mask the ID numbers. And
1145
1:33:44 --> 1:33:47
he calls it masking, but based on what he said, they're actually encrypting them. So they're
1146
1:33:47 --> 1:33:53
turning them to a different number. But in this case, we're looking at public records that by law
1147
1:33:53 --> 1:33:[privacy contact redaction] be made available to the public for examination and review. So there's no privacy concern. Also,
1148
1:33:59 --> 1:34:04
the type of manipulation that I'm seeing doesn't change any of the data at all. Therefore, there's
1149
1:34:04 --> 1:34:[privacy contact redaction] So that is to say that the ID number that I see in the role associated with
1150
1:34:10 --> 1:34:17
any given person is the ID number that's associated with that person. So they don't actually gain
1151
1:34:17 --> 1:34:22
anything security wise by doing this. And the same thing goes for privacy. And it doesn't improve
1152
1:34:23 --> 1:34:27
efficiency. And the reason it doesn't, I'm thinking of the spiral right now, is because
1153
1:34:28 --> 1:34:38
the specific nature of the algorithm has a concentration of effect in the, you know,
1154
1:34:38 --> 1:34:43
less than 10% of the records. So if you want efficient search, usually what you're going to
1155
1:34:43 --> 1:34:47
do is you're going to divide the records in half and then divide those in half. So basically,
1156
1:34:47 --> 1:34:53
you make a decision tree where is it inside A or B. If A, then divide again. And then when you divide
1157
1:34:53 --> 1:34:56
that, it's like, is it in the A side or the B side? And you keep on going until you find it.
1158
1:34:56 --> 1:35:[privacy contact redaction], where you're breaking it up based on powers of 10,
1159
1:35:01 --> 1:35:06
you're going to have to divide many more times to find the record you want because you're dividing
1160
1:35:06 --> 1:35:13
10 to 90 or 1 to 90 or 1 to 900 or something like that. So you're actually retarding the
1161
1:35:13 --> 1:35:19
speed of use. And on top of that, you're destroying normal relationships that might help people who
1162
1:35:19 --> 1:35:[privacy contact redaction]and what they're looking at. So for instance, a very simple example
1163
1:35:23 --> 1:35:[privacy contact redaction]ration date corresponds somehow to the number, people could look at a number and
1164
1:35:31 --> 1:35:35
say, oh yeah, that number is from the range of numbers that were assigned in the 1960s,
1165
1:35:35 --> 1:35:40
the 1980s. And they would be able to derive knowledge of the records just by looking at
1166
1:35:40 --> 1:35:[privacy contact redaction]ually answer questions and save them time searching. So what they've
1167
1:35:45 --> 1:35:48
done by introducing these algorithms, it doesn't help the privacy, it doesn't help security,
1168
1:35:48 --> 1:35:52
and it makes it less efficient. So none of these things are good. And on top of that,
1169
1:35:52 --> 1:35:[privacy contact redaction]ually adds data because the algorithm creates another ID. So this is another thing to
1170
1:35:57 --> 1:36:01
keep track of, multiplied by [privacy contact redaction]s, which is also a very bad thing.
1171
1:36:02 --> 1:36:08
So I'm wondering why were they used? Now you may think, well, it's pretty obvious,
1172
1:36:08 --> 1:36:12
they're using it for fraud. Well, I like to say it this way. I like to say, I don't know why they're
1173
1:36:12 --> 1:36:16
using it. I know it certainly can be used for fraud, but I haven't been able to prove that they
1174
1:36:16 --> 1:36:23
are using it for fraud. Nevertheless, I think there is very, very strong evidence here to justify,
1175
1:36:23 --> 1:36:[privacy contact redaction] of position, it's probable that these were invented and implemented for the
1176
1:36:30 --> 1:36:[privacy contact redaction] that an investigation should take place to find out,
1177
1:36:35 --> 1:36:41
for sure, one way or the other. I do think it is completely fair to say that it is not reasonable
1178
1:36:41 --> 1:36:47
to assume that they're legitimate. Okay, so let's go to the last slide, which is just me asking if
1179
1:36:47 --> 1:36:[privacy contact redaction]ions. And that's great. I'll stop the sharing now, Andrew.
1180
1:36:52 --> 1:36:57
That's fine. I'll put on my camera. Oh, my camera's already on. There you are.
1181
1:36:57 --> 1:37:03
It looks like it's not pointing at me. Wow, it's all stretched or something. All right. Well,
1182
1:37:03 --> 1:37:08
let's answer the questions then. So I'm available for that.
1183
1:37:08 --> 1:37:18
Very good. Well, traditionally, Steven asks questions. And Steven, show us your screen.
1184
1:37:18 --> 1:37:22
Steven, show us your screen. Yeah, sorry. Yeah, I'm here.
1185
1:37:22 --> 1:37:27
Show us your face. Yeah, sure. Yes.
1186
1:37:30 --> 1:37:33
Hello, Andrew. Hello.
1187
1:37:34 --> 1:37:[privacy contact redaction] thing, I was very interested, well, I was interested to see
1188
1:37:41 --> 1:37:45
that you got your PhD, at least at King's College London. Is that right?
1189
1:37:45 --> 1:37:52
Yes. So did you? Can you hear me? Yes.
1190
1:37:52 --> 1:37:[privacy contact redaction] degree was in what, Andrew? Oh, I don't have one. I'm one of those
1191
1:37:59 --> 1:38:[privacy contact redaction] skipped that. I left High School when I was 14.
1192
1:38:05 --> 1:38:10
Oh, my PhD is in education. I studied the development of expertise in
1193
1:38:10 --> 1:38:17
CG art. And the primary reason was I wanted to contest the presumption that a certain
1194
1:38:17 --> 1:38:22
amount of time is required to develop experience or expertise rather, because I had observed
1195
1:38:23 --> 1:38:[privacy contact redaction]e at a young age or with very little experience becoming experts rather
1196
1:38:27 --> 1:38:[privacy contact redaction]udy how that process occurs. And I found that it happens when people
1197
1:38:34 --> 1:38:[privacy contact redaction]and them. And that can happen basically at any age with any
1198
1:38:39 --> 1:38:43
level of experience. When they encounter what did you say, Andrew?
1199
1:38:45 --> 1:38:50
I'm sorry, what did you say? When they encounter what? I didn't catch, was it keynotes you said?
1200
1:38:52 --> 1:39:01
A keynode, N-O-D-E. So for instance, in computer graphics, a keynode is understanding topological
1201
1:39:01 --> 1:39:09
relationships between geometric elements. Many CG artists do not ever learn how to do that.
1202
1:39:09 --> 1:39:13
But the ones who do develop this topological awareness is what I call it,
1203
1:39:14 --> 1:39:17
are the ones who tend to excel and become experts.
1204
1:39:18 --> 1:39:24
Let's see. So as much of an interest, how did you come into contact with King's College London?
1205
1:39:25 --> 1:39:26
You were born in America, were you?
1206
1:39:26 --> 1:39:36
Well, yeah, I was teaching at a school in the Netherlands, the Enhanteve,
1207
1:39:36 --> 1:39:43
which was a university of tourism. But then they created a game development program and hired me
1208
1:39:43 --> 1:39:[privacy contact redaction]or of the visual arts program. So I created the visual arts program
1209
1:39:50 --> 1:40:00
there. Now at the time, I had gone to college in the United States and I was studying at art school,
1210
1:40:01 --> 1:40:05
but without a degree. And that's just because I started getting hired and I was working.
1211
1:40:06 --> 1:40:12
When I was in the Netherlands, they said that was a problem. I needed to have a degree. So
1212
1:40:13 --> 1:40:[privacy contact redaction]e of books on computer graphics, which they used as my thesis to grant
1213
1:40:19 --> 1:40:28
me a degree. But then they wanted to get hired. So no, no, this was the school I was teaching at.
1214
1:40:29 --> 1:40:33
This is the school I was teaching at. So then they wanted me to get a higher degree
1215
1:40:33 --> 1:40:[privacy contact redaction]ying for programs in the Netherlands. And I was hoping to go directly
1216
1:40:40 --> 1:40:47
into a PhD program, skipping a master's because by that time I had years of professional experience.
1217
1:40:47 --> 1:40:50
I'd written a couple of books on computer graphics and I was considered an expert by people in the
1218
1:40:50 --> 1:40:57
field. And eventually I discovered that none of the Dutch schools wanted to accept somebody who
1219
1:40:57 --> 1:41:04
spoke English and not Dutch. So I decided to try English colleges instead and I got accepted at
1220
1:41:04 --> 1:41:12
several. It was King's, Northampton and I believe it was Essex. And which was the last one?
1221
1:41:14 --> 1:41:19
I think it was Essex. I remember they were like in the southwest of the UK. I forget exactly where.
1222
1:41:19 --> 1:41:21
I see. Okay.
1223
1:41:24 --> 1:41:30
But King's was my preference and I'd already received acceptances from the other two. So when
1224
1:41:30 --> 1:41:35
I went for my interview at King's, I told them I have to answer the other guys tomorrow. So if you
1225
1:41:35 --> 1:41:40
make me an offer, I'll accept it because you're my preference. But if I don't hear from you soon,
1226
1:41:40 --> 1:41:45
I'm going to have to go with one of the other ones. So they accepted the proposal and I went
1227
1:41:45 --> 1:41:50
from there. But that was a lot of work. It was much more than I expected. I assumed that because
1228
1:41:51 --> 1:41:55
I was already an expert in the field and had written a couple of books that it would be easy.
1229
1:41:55 --> 1:41:59
But it turns out a research degree at King's College is something they don't play games with.
1230
1:42:00 --> 1:42:02
Is it something about the end?
1231
1:42:08 --> 1:42:12
It's not something they play games with at King's College.
1232
1:42:13 --> 1:42:14
I see.
1233
1:42:17 --> 1:42:17
Sorry.
1234
1:42:17 --> 1:42:23
I looked at some pieces written by other people at other colleges and I realized when I read them
1235
1:42:23 --> 1:42:[privacy contact redaction] not been passed at King's College. They would have failed.
1236
1:42:29 --> 1:42:29
No.
1237
1:42:29 --> 1:42:[privacy contact redaction], actually I would have failed them.
1238
1:42:34 --> 1:42:36
You know what? I'm having a very hard time hearing you.
1239
1:42:37 --> 1:42:40
Sorry. Hearing me at all or?
1240
1:42:40 --> 1:42:46
I'm hearing you but there's considerable loss of audio. So it's like fractions of your words.
1241
1:42:47 --> 1:42:53
I'm sorry. So anyway, with regard to that, Andrew, I'll try and speak clearly. Does that help?
1242
1:42:56 --> 1:42:57
So far, yes. Continue.
1243
1:42:58 --> 1:43:[privacy contact redaction]s you mentioned, the three universities you mentioned,
1244
1:43:02 --> 1:43:08
the three universities you mentioned, King's College London is world class. The other two
1245
1:43:08 --> 1:43:14
aren't. So well, Essex is known for one or two things and Northampton may be full. But it's not,
1246
1:43:14 --> 1:43:18
you know, they're not in the same classes. King's College London. So that's what...
1247
1:43:18 --> 1:43:18
No, they're not.
1248
1:43:21 --> 1:43:25
Yeah. And the funny thing is I wasn't aware of the rankings of these schools when I applied.
1249
1:43:26 --> 1:43:31
And I didn't really care because as far as I was concerned, I was satisfying a requirement for my
1250
1:43:31 --> 1:43:38
job because my boss told me that due to a new law passed in or regulation passed by the Ministry
1251
1:43:38 --> 1:43:45
of Education in the Netherlands, I actually had to get a PhD to retain tenure. So I had tenure there.
1252
1:43:46 --> 1:43:52
And so I was going to go with whatever school accepted me. But then my boss told me, you know,
1253
1:43:52 --> 1:43:56
King's is actually better than those other schools. So you should go to them. So that's what I did.
1254
1:43:57 --> 1:44:[privacy contact redaction]ay to King's for taking you when you hadn't got a primary degree. They took a
1255
1:44:02 --> 1:44:07
chance in their, you know, in their world, they'd be taking a chance, but they backed the right horse,
1256
1:44:07 --> 1:44:14
it seems. So what you did in your PhD at King's, when do you think... Could you have done... You
1257
1:44:14 --> 1:44:[privacy contact redaction]e being very skilled at the kind of things that you're skilled in.
1258
1:44:22 --> 1:44:26
You know, when you look back to that, could you have done that when you were much younger
1259
1:44:26 --> 1:44:29
or I don't know how old you were at King's College, but I'm just interested.
1260
1:44:31 --> 1:44:[privacy contact redaction]arted at King's when I was in my late 40s. I'm [privacy contact redaction] even been 50.
1261
1:44:40 --> 1:44:46
But in any event, yeah, I think I could have done it when I was younger. And that's the thing is
1262
1:44:46 --> 1:44:51
that these key nodes, you have to be introduced to them. And this is something I'd seen in my
1263
1:44:51 --> 1:44:57
own career, where I've actually had several careers, and I've learned multiple disciplines,
1264
1:44:57 --> 1:45:05
and I've discovered that the way to quickly achieve my goal is to first find someone who knows the
1265
1:45:05 --> 1:45:[privacy contact redaction] to have answered. So I look for a mentor, and then I
1266
1:45:11 --> 1:45:[privacy contact redaction]ions and doing work and getting feedback until I figure it out. And then once I
1267
1:45:18 --> 1:45:23
have that, then I'm essentially an expert from that point forward. So when I got into comic books,
1268
1:45:23 --> 1:45:[privacy contact redaction]ance, the key node was that comic books is not about drawing. Comic books is about
1269
1:45:28 --> 1:45:[privacy contact redaction]aw on the page. So I happened to run into a comic book writer in
1270
1:45:35 --> 1:45:[privacy contact redaction]ration with artists who think it's all about drawing and how it's all
1271
1:45:40 --> 1:45:44
about figuring out the camera angles and what to put in front of the camera. And as soon as I got
1272
1:45:44 --> 1:45:50
that figured out, I started working in the business. It's like that for pretty much everything.
1273
1:45:52 --> 1:45:[privacy contact redaction]ing. Yeah. So, and then you met Jerome Corsi or Dr. Corsi a couple of weeks ago,
1274
1:45:59 --> 1:46:03
did you? And that's when your problems began, as far as being censored was concerned or not.
1275
1:46:05 --> 1:46:11
Well, as far as my bandwidth is concerned, yes. I had never had low bandwidth problems. And then
1276
1:46:11 --> 1:46:17
all of a sudden, right around the time I met Jerome, now, of course, I'm not sure when it
1277
1:46:17 --> 1:46:23
happened because there was a gap of some months between the conversation with him on Zoom and
1278
1:46:24 --> 1:46:29
prior conversations on Zoom with other people. But I had never had a low bandwidth problem
1279
1:46:29 --> 1:46:34
until the conversations with him. And ever since then, every conversation I've had with anybody
1280
1:46:34 --> 1:46:39
has had. I'm sure, Stephen, it was monitored and they're suppressing him. They don't want,
1281
1:46:40 --> 1:46:45
they don't want what Andrew knows out and they're probably not happy that I'm working with them.
1282
1:46:46 --> 1:46:[privacy contact redaction]and that. Yeah. Well, that's what I was suggesting. But so, and that you only met each
1283
1:46:50 --> 1:46:54
other two weeks ago, is that right? It's a little bit more than that.
1284
1:46:56 --> 1:47:01
It's very, within the last month, in June, we met, we met in June, I can't remember the exact time,
1285
1:47:01 --> 1:47:[privacy contact redaction]ephen's work, someone, the law firm in Akron, that Stephen,
1286
1:47:14 --> 1:47:22
this whole group, there's a group involved called United Sovereign Americans. And that's
1287
1:47:22 --> 1:47:29
the two women, a woman named Marley and a guy named Harry who runs that. And they brought Andrew in
1288
1:47:29 --> 1:47:[privacy contact redaction]ew. Marley is a particularly difficult person. It seems like to
1289
1:47:34 --> 1:47:[privacy contact redaction]ew did not get along. And Thomas Connors from the Mendelssohn firm sent me
1290
1:47:44 --> 1:47:[privacy contact redaction]ew's paper and he said, would you please figure out for me if this guy knows what he's
1291
1:47:49 --> 1:47:55
talking about? Well, I have a background, a mathematical background is very extensive and
1292
1:47:55 --> 1:48:[privacy contact redaction] a background in cryptography. And so I started into the paper that he wrote and published
1293
1:48:02 --> 1:48:[privacy contact redaction]ood what he was saying. And I really got into it very deeply.
1294
1:48:11 --> 1:48:14
And then I've called Andrew, we had a couple of conversations about it.
1295
1:48:15 --> 1:48:[privacy contact redaction]rated some of it for me. And I became absolutely convinced that he was right.
1296
1:48:21 --> 1:48:29
And so I communicated this to the Mendelssohn law firm. And actually, we've had kind of a conflict
1297
1:48:30 --> 1:48:[privacy contact redaction]ed Sovereigns of America because they are going in a different direction.
1298
1:48:37 --> 1:48:[privacy contact redaction]ew that I want to do the same thing I did with HSBC Bank. In other words,
1299
1:48:43 --> 1:48:50
I want to write a series of articles. First one was accepted by American thinker today.
1300
1:48:51 --> 1:48:55
And it will be published the next few days. And then we're going to write a series of articles
1301
1:48:55 --> 1:49:[privacy contact redaction]e saying, why are there algorithms in the voter database?
1302
1:49:03 --> 1:49:11
And I believe one of my skills is being able to make an argument that is maybe difficult,
1303
1:49:12 --> 1:49:[privacy contact redaction]rage person to understand. And so here, you know, the one of the
1304
1:49:19 --> 1:49:26
two or three lines I've been working on is that Andrew did a very good job today. I'm sure
1305
1:49:27 --> 1:49:30
having looked at the deck, I unfortunately couldn't hear the whole presentation. I'll
1306
1:49:30 --> 1:49:38
review it later. But I'm saying that there just should not be this number kind of sequence
1307
1:49:38 --> 1:49:45
imposed upon a database. And the number, the schemes involved here are National Security
1308
1:49:45 --> 1:49:52
Agency quality encryption schemes. As he says, they're not really specifically encryption schemes.
1309
1:49:52 --> 1:50:00
They're much more this denography. But you can't tell that they're there until you kind of an expert
1310
1:50:00 --> 1:50:[privacy contact redaction] them and figure it out. And Andrew figured it out. And when he figured it out, he must
1311
1:50:04 --> 1:50:09
have spent, he must have spent enormous time doing it. Probably spent a lot of sleepless nights,
1312
1:50:09 --> 1:50:13
got paid probably nothing to do it. But he conquered it and mastered it.
1313
1:50:16 --> 1:50:21
I figured I was and he got it, but he figured it out. And so then I'm saying to what next thing
1314
1:50:21 --> 1:50:29
I'm going to say to the American public is that and to world public, we have databases for credit
1315
1:50:29 --> 1:50:[privacy contact redaction]s for banks, for mortgage companies that are remarkably validated databases and work so that if
1316
1:50:39 --> 1:50:[privacy contact redaction] bill, you're going to get called and qualified to talk to.
1317
1:50:47 --> 1:50:51
If you miss it for a sequence of months, like six months, they'll send it to collection and
1318
1:50:51 --> 1:50:[privacy contact redaction]ion is going to hound you until you pay something. These are very effective systems.
1319
1:50:56 --> 1:51:[privacy contact redaction]ed States, and I think worldwide, are intentionally
1320
1:51:03 --> 1:51:10
not validated, are intentionally full of errors, are intentionally full of records that are a mess
1321
1:51:12 --> 1:51:[privacy contact redaction] and they are designed for fraud. And the voting systems that we're
1322
1:51:20 --> 1:51:27
allowing to go are like mail-in ballots are inherently schemes that are subject to fraud.
1323
1:51:28 --> 1:51:35
And so therefore, we have created data systems for voting that are dysfunctional
1324
1:51:35 --> 1:51:38
because we don't intend to conduct fair elections.
1325
1:51:40 --> 1:51:46
But we're not going to say that this election was false or that election was false or that Trump won
1326
1:51:46 --> 1:51:52
2020 because then we're getting into problems of saying that I think the genius of what
1327
1:51:52 --> 1:51:[privacy contact redaction]ew found is that not only can you vote false votes, but you can certify them
1328
1:52:00 --> 1:52:[privacy contact redaction]s a mail-in ballot. That mail-in ballot is printed with that number
1329
1:52:06 --> 1:52:12
and voted. When you look at it, that vote was requested and it voted so it's certified.
1330
1:52:12 --> 1:52:17
You don't know that it was false because you can't get that deeply into the record. All you know is
1331
1:52:18 --> 1:52:25
it matched. And what bothered me in 2020 was you could obviously see all the mail-in ballots
1332
1:52:25 --> 1:52:29
coming in and being counted in the middle of the night, but yet these elections were certified.
1333
1:52:29 --> 1:52:33
And I couldn't figure out how they were getting certified. And Andrew showed me they were getting
1334
1:52:33 --> 1:52:[privacy contact redaction]s were identified in the deck where whoever was the card shark
1335
1:52:41 --> 1:52:[privacy contact redaction]s were and could vote the marked cards in the number they needed at
1336
1:52:46 --> 1:52:52
any time they needed them. And so therefore it explained to me how mail-in voting fraud could be
1337
1:52:52 --> 1:52:59
done and certified. Okay, but again, we're going to just raise these questions because it's much
1338
1:52:59 --> 1:53:[privacy contact redaction]e, like with HSBC, why are they running all these millions
1339
1:53:05 --> 1:53:08
of dollars through these accounts and closing them and that account had your social security
1340
1:53:08 --> 1:53:13
number and your name. You were formerly a customer of the bank. You closed your account. You didn't
1341
1:53:13 --> 1:53:20
know this. Why is that happening? Raising these questions is enough to make the people mad about
1342
1:53:20 --> 1:53:[privacy contact redaction]em. And eventually some of the regulators have to pay attention because you've called into
1343
1:53:26 --> 1:53:[privacy contact redaction]ion and undermine the integrity of the entire voting system throughout the United States and
1344
1:53:30 --> 1:53:39
maybe throughout the world. And that's my goal. And Andrew can validate it. And it's very similar.
1345
1:53:39 --> 1:53:45
John Cruz had the data from HSBC. He had the data. Andrew's got the data. And I'm going to
1346
1:53:45 --> 1:53:[privacy contact redaction]ew, like I did with John Cruz. And pretty soon we'll have regulators
1347
1:53:51 --> 1:53:57
at the Department of Homeland Security or others. I'm sure we already have them interested. And
1348
1:53:57 --> 1:54:02
they're already concerned about what we're going to do. So you're talking about, you've got new
1349
1:54:03 --> 1:54:[privacy contact redaction] HSBC or is this the evidence? No, I'm just using that as an allergy. I did it
1350
1:54:09 --> 1:54:15
then. I'm going to repeat that today. It's my MO, my modus operandi to get this communicated.
1351
1:54:15 --> 1:54:[privacy contact redaction]ew, I found the guy with whom I can do it. Just like when I found John Cruz,
1352
1:54:21 --> 1:54:26
I found the guy with whom I could do it. I knew they were laundering money. You can't run
1353
1:54:27 --> 1:54:[privacy contact redaction]ug organization without a bank and the security agencies, the intelligence agencies,
1354
1:54:33 --> 1:54:39
and the finance treasuries run all the bank systems. And so they're in on it.
1355
1:54:39 --> 1:54:47
And I knew that I've known that studying into other materials going back into the opium trade
1356
1:54:48 --> 1:54:58
in the 1800s in Great Britain was running them in China. And HSBC was originally part of the opium
1357
1:54:58 --> 1:55:05
trades and they were doing it fraudulently then. So they were still involved. And I know that the
1358
1:55:05 --> 1:55:11
intelligence agencies are involved in the voting and they know this is going on. They don't want
1359
1:55:11 --> 1:55:18
it exposed. And again, rather than going public and saying, I can prove that, we're just going
1360
1:55:18 --> 1:55:[privacy contact redaction]ions. Why would this be? Why would this be? Why could you use this to do this?
1361
1:55:24 --> 1:55:[privacy contact redaction]ions turn into HSBC being fined in the US in 2012? I think it was
1362
1:55:35 --> 1:55:41
$1.9 billion for money laundering, which you exposed together with Cruz.
1363
1:55:46 --> 1:55:50
And now, of course, they're asking their customers. They're saying that they have to
1364
1:55:50 --> 1:55:[privacy contact redaction]omers are spending their money on. And I know this is happening.
1365
1:55:55 --> 1:56:02
The banks are the criminals, typically. The people who commit the kind of fraud that they are doing
1366
1:56:02 --> 1:56:09
with all these rules and regulations that bank officers, if somebody takes out more than $10,000
1367
1:56:09 --> 1:56:15
in cash, you've got to file a report. Those are just control measures. Those are just totalitarian
1368
1:56:15 --> 1:56:22
measures. Those aren't the people committing real money laundering in banks. The governments
1369
1:56:22 --> 1:56:27
are the criminals. The governments are doing the money laundering. So you begin to get to realize
1370
1:56:27 --> 1:56:33
that we're fighting in the war in Ukraine. The CIA was involved with the Bidens, the money laundering
1371
1:56:33 --> 1:56:38
in Ukraine. What we want in Ukraine is we want to preserve the corruption because they've got the
1372
1:56:38 --> 1:56:[privacy contact redaction] money laundering scheme I've ever seen. They run things through Cyprus and they get rid of
1373
1:56:43 --> 1:56:48
trillions of dollars that disappear. And so you don't want to lose that asset.
1374
1:56:50 --> 1:56:54
So we fight the war. Keep that money laundering asset going for the intelligence agencies.
1375
1:56:55 --> 1:57:00
And so one of my themes in life is to expose to people just like Jack Kennedy being killed by
1376
1:57:01 --> 1:57:[privacy contact redaction]ate that we are living in a Truman show that the intelligence agencies are running
1377
1:57:07 --> 1:57:12
and they're evil. The voting is another example. So we're not going to hold.
1378
1:57:13 --> 1:57:[privacy contact redaction]ions are the people that CIA want to win the elections.
1379
1:57:18 --> 1:57:23
Donald Trump was an exception and that squeaked by. They weren't prepared for that one. They
1380
1:57:23 --> 1:57:32
thought they had him beat. But the point was that we now have enough. Why do they pay $1.9 billion?
1381
1:57:32 --> 1:57:38
dollars. Even Aldous Huxley said this. I've written about this in the book on the
1382
1:57:38 --> 1:57:43
Anti-Globalist Alliance. These totalitarian schemes these governments build, and they're
1383
1:57:43 --> 1:57:52
very close to having this transhuman totalitarian system in place, can only be beaten when people
1384
1:57:52 --> 1:57:59
refuse to participate. That's the only tactic you can use to beat them. We're not sending our kids
1385
1:57:59 --> 1:58:07
to a public school about transgenderism. And so once the people say we're done with public schools,
1386
1:58:08 --> 1:58:16
public schools collapse. We're done with watching network news. We're done with
1387
1:58:16 --> 1:58:23
buying Budweiser beer. We're done with watching the BBC. We're done with buying Budweiser beer
1388
1:58:23 --> 1:58:28
of a transgender is going to be the guy who's the spokesperson. We're not going to do it anymore.
1389
1:58:29 --> 1:58:36
And we're done with going to a pediatric department in a hospital in the NHS in the UK,
1390
1:58:36 --> 1:58:42
which flies the gay flag in the welcoming area for the children.
1391
1:58:42 --> 1:58:49
That's right. And so then the governments have got to do something. And they blew the whistle on HB8.
1392
1:58:49 --> 1:58:55
Nobody went to jail, but they did pay the fine. And it's still going on. But it's another
1393
1:58:56 --> 1:58:59
brick in the wall to remove, to expose how they operate.
1394
1:59:00 --> 1:59:04
Now, I don't want to dominate the conversation because there's others with questions. I
1395
1:59:04 --> 1:59:[privacy contact redaction]ions. But this is-
1396
1:59:07 --> 1:59:[privacy contact redaction]ew, Jerome, what is the importance, Andrew, in your mind? What could
1397
1:59:14 --> 1:59:21
be the importance of what you've found? So I'm not saying what have you proved, because maybe
1398
1:59:21 --> 1:59:[privacy contact redaction]n't proved anything, but that doesn't mean to say that you're not correct.
1399
1:59:26 --> 1:59:[privacy contact redaction] wonder- Yeah, as far as I'm concerned,
1400
1:59:30 --> 1:59:36
what I can show and what I think is important is that the voter rolls are being manipulated
1401
1:59:36 --> 1:59:[privacy contact redaction]e who are responsible for managing the voter rolls don't
1402
1:59:40 --> 1:59:[privacy contact redaction]and. And that has to be problematic for voters for whom the voter rolls are meant to be
1403
1:59:48 --> 1:59:[privacy contact redaction] fraud. So what I am seeing here is a way to hide what's happening. So anytime
1404
1:59:56 --> 2:00:[privacy contact redaction] something that obfuscates, which should be transparency, you have what should be a
1405
2:00:02 --> 2:00:[privacy contact redaction]em. And it should be treated as such, basically discarded for that reason,
1406
2:00:07 --> 2:00:[privacy contact redaction]ed CNN when I discovered how biased they were. So if nothing else,
1407
2:00:15 --> 2:00:24
I would like to think that these findings lead to the discarding and possible regeneration of
1408
2:00:24 --> 2:00:[privacy contact redaction]ing what we have and rebuilding it.
1409
2:00:30 --> 2:00:39
Doesn't this point to a wider problem of super elites, if you like, who can be hired to
1410
2:00:39 --> 2:00:[privacy contact redaction]ems on behalf of corrupt individuals who understand the potential of
1411
2:00:47 --> 2:00:[privacy contact redaction]em? But the point is that you can't regulate them. So Andrew, the point is you can't
1412
2:00:54 --> 2:01:00
regulate them, it seems. Mere human beings can't regulate this stuff because it's so complicated.
1413
2:01:00 --> 2:01:06
So if you've got someone acting nefariously in a very complicated world, it's extremely difficult
1414
2:01:06 --> 2:01:14
to nail them down. Except by thinking in big, big steps, if you understand me. So
1415
2:01:14 --> 2:01:23
you're never going to get there trying to prove it on your own. But you could actually prove it
1416
2:01:23 --> 2:01:30
by default, if you like, by hypothesizing correctly. And Jerome is very good at that. And I'm kind of
1417
2:01:30 --> 2:01:[privacy contact redaction]and what I'm getting at?
1418
2:01:36 --> 2:01:45
Yeah, I think I do. The thing is, these computer systems are so complicated that anybody
1419
2:01:46 --> 2:01:53
who is nefarious, who gets involved, the potential for wrongdoing is so great that actually
1420
2:01:54 --> 2:01:[privacy contact redaction] it. So therefore we need to get rid of the damn computer systems.
1421
2:01:57 --> 2:02:03
So it's very convenient to have the computer systems. Yeah, exactly. So people need to understand.
1422
2:02:03 --> 2:02:10
Yeah, I agree completely. Well, the problem with computers is they multiply the possibilities of
1423
2:02:11 --> 2:02:16
fraud. You know, the funny thing about this, I'll just tell you an insight I had when I was something
1424
2:02:16 --> 2:02:[privacy contact redaction] learned about election. I was thinking, given the number
1425
2:02:21 --> 2:02:[privacy contact redaction]e in America, and given the number of people who have to manage those elections,
1426
2:02:26 --> 2:02:[privacy contact redaction] certain that there are tremendous opportunities to create fraud there.
1427
2:02:32 --> 2:02:[privacy contact redaction] never thought that we should trust our elections just on that basis alone, because
1428
2:02:39 --> 2:02:47
as far as I could tell, the numbers alone argue against a trustworthy system, because the more
1429
2:02:47 --> 2:02:51
moving parts there are, the more opportunities there are to get in the cracks and gum it up somehow.
1430
2:02:52 --> 2:02:58
But also the wider potential for things that are very complicated, Andrew, which most people can't
1431
2:02:58 --> 2:03:[privacy contact redaction]and, you know, that gives potential for, as I was saying, multiplying the possibilities
1432
2:03:05 --> 2:03:10
for fraud. And for that reason, and for also, you know, if computers take over our lives,
1433
2:03:10 --> 2:03:18
like mobile phones and social media, so people, young people in particular, spending loads and
1434
2:03:18 --> 2:03:22
loads of time on the, and they're taking, their humanity has been taken away from them
1435
2:03:23 --> 2:03:[privacy contact redaction]ually love and are addicted to in the true sense of addiction.
1436
2:03:29 --> 2:03:[privacy contact redaction]ed, you know, as dangerous, but not the mobile
1437
2:03:34 --> 2:03:40
phones and not the social media, and because everybody else is doing it, you know. And so
1438
2:03:40 --> 2:03:[privacy contact redaction]aw the right conclusions, I think, and they're not thinking of the wider
1439
2:03:45 --> 2:03:[privacy contact redaction]ications of these computers, you know, and, oh, but people say, they're so wonderful,
1440
2:03:50 --> 2:03:54
you can find out this and you can find out that, it's so convenient, you know. Yeah,
1441
2:03:54 --> 2:03:58
but if it's going to lead to the destruction of human species, then it's not worth it, is it?
1442
2:03:58 --> 2:04:05
And we need to really think about this. Yeah, I agree with all of that. And on a philosophical
1443
2:04:05 --> 2:04:10
level, I'll tell you one of the things I discovered when I moved to Europe that kind of shocked me,
1444
2:04:11 --> 2:04:16
and I think is analogous to what we're seeing here, and that is that when I moved to the
1445
2:04:16 --> 2:04:22
Netherlands, they have a completely different way of planning their town. So as a result,
1446
2:04:22 --> 2:04:28
I could ride a bicycle to work and to get groceries and to literally do anything I wanted to do
1447
2:04:29 --> 2:04:33
from my house. And so I didn't own a car for 12 years and didn't really need one. A couple
1448
2:04:33 --> 2:04:40
times I rented one, but that was very, you know, far between. But the thing is that if I tried to
1449
2:04:40 --> 2:04:[privacy contact redaction] in America, there are only a couple of towns in America where that would even
1450
2:04:45 --> 2:04:[privacy contact redaction] part, the infrastructure doesn't exist to, for instance, do farming the
1451
2:04:53 --> 2:04:56
way they did there to gather the vegetables and fruits and bring them to the people in the
1452
2:04:56 --> 2:05:[privacy contact redaction] and then to buy them and eat them and find their way into restaurants and so on. But
1453
2:05:02 --> 2:05:[privacy contact redaction]ure problem that I see right now that's analogous to our situation with
1454
2:05:08 --> 2:05:[privacy contact redaction]ions is we don't have an alternative way of thinking about elections. At this moment,
1455
2:05:14 --> 2:05:[privacy contact redaction] to have computers because they're so complex,
1456
2:05:18 --> 2:05:22
because there's so many people involved and it's just impossible to do it any other way.
1457
2:05:23 --> 2:05:29
When France, by the way, proved us wrong on that assumption just recently by counting all their
1458
2:05:29 --> 2:05:33
votes overnight and doing it on paper and by hand, and actually every other country does the same
1459
2:05:33 --> 2:05:43
thing. Our culture right now is designed around computers. If all of our computers failed
1460
2:05:43 --> 2:05:49
simultaneously, we'd have a lot of power plants and other types of industries that would immediately
1461
2:05:49 --> 2:05:[privacy contact redaction]ioning until they removed the computers from their systems, which all by itself I consider
1462
2:05:54 --> 2:06:01
to be an incredibly risky thing to do to make yourself dependent like that. But that's exactly
1463
2:06:01 --> 2:06:[privacy contact redaction]ually right now in essentially the same situation that
1464
2:06:07 --> 2:06:[privacy contact redaction] finds themselves in where not taking the heroin actually causes physical
1465
2:06:13 --> 2:06:[privacy contact redaction]easant. So for that reason, it's very hard for them to get over
1466
2:06:20 --> 2:06:[privacy contact redaction]ion. And in this case, I'll just give an example from my own life. I'm watching,
1467
2:06:26 --> 2:06:32
I was a subscriber to Netflix and I was watching the programming become increasingly vulgar.
1468
2:06:32 --> 2:06:37
The profanity became very common. Pretty much every show was full of it, then every character
1469
2:06:37 --> 2:06:42
was full of it, and then the subject matter was obviously very biased in a lot of ways, et cetera.
1470
2:06:42 --> 2:06:47
And eventually I opted out and canceled my subscription and I went to Disney, which I thought
1471
2:06:47 --> 2:06:[privacy contact redaction]arted doing the same thing. And then I canceled that and went to
1472
2:06:52 --> 2:06:[privacy contact redaction] look at old movies and TV shows. And then I noticed all of the bias
1473
2:06:56 --> 2:07:00
in the old ones. I was really surprised to see how many were pushing the gay agenda, for instance,
1474
2:07:00 --> 2:07:07
as far back as the 1960s. It's really kind of a shock to see that. And I realized that for other
1475
2:07:07 --> 2:07:[privacy contact redaction]rongly than I do, it's really hard to let go of those kinds of
1476
2:07:13 --> 2:07:18
things. That those are the things that keep their minds in these very narrow tunnels of
1477
2:07:19 --> 2:07:24
that don't give them any room to see the wider world outside of what they're getting.
1478
2:07:24 --> 2:07:[privacy contact redaction]s, Andrew. I think that human beings are a huge
1479
2:07:30 --> 2:07:[privacy contact redaction] four and a half years because it's made me realize that
1480
2:07:34 --> 2:07:[privacy contact redaction]ion, a very dangerous predilection for dangerous cults.
1481
2:07:41 --> 2:07:[privacy contact redaction], yeah, well, you actually I'll tell you something else that happened when I moved to the
1482
2:07:46 --> 2:07:54
Netherlands. At that time in 2006, there was an issue going on in Israel with a soldier that had
1483
2:07:54 --> 2:08:01
been kidnapped by Hezbollah. And they had been named Galeid Shalit, I think was his name. And
1484
2:08:01 --> 2:08:06
they demanded his return for I think it was something like a year or two, it was some long
1485
2:08:06 --> 2:08:12
time. And the other side refused to do it. So Israel gave them a warning, if you don't do it
1486
2:08:12 --> 2:08:17
by such and such a date, which I think was a 30 day warning, we're going to attack you. And they
1487
2:08:17 --> 2:08:20
didn't do it. And then they gave them a little bit more time. And they still didn't give him the guy.
1488
2:08:21 --> 2:08:[privacy contact redaction]arted blowing the heck out of Lebanon. And so it was right then that I moved
1489
2:08:28 --> 2:08:35
to the Netherlands, and I was watching CNN, and saw a program on this subject. And they had some
1490
2:08:35 --> 2:08:40
sort of press representative for the Israeli government and another one for the Israeli
1491
2:08:41 --> 2:08:[privacy contact redaction]inian organization. They gave the Israeli guy, I think
1492
2:08:47 --> 2:08:53
it was, I timed this out with my, with a not a stopwatch, but my computer, I think it was like 35
1493
2:08:53 --> 2:08:59
or 40 seconds, during which he was basically attacked. They were saying, how dare you attack
1494
2:08:59 --> 2:09:04
a sovereign nation? And why did you do this horrible thing? And why are you committing murder
1495
2:09:04 --> 2:09:[privacy contact redaction] all these innocent civilians? And the Israeli guy was like, what are you talking about?
1496
2:09:07 --> 2:09:12
That's not what's going on at all. And then they cut to the other guy from the Palestinian side and
1497
2:09:12 --> 2:09:17
gave him 12 minutes. And they were asking him all these softball questions like, how does it feel to
1498
2:09:17 --> 2:09:[privacy contact redaction]im of this horrible tyranny imposed on you by the Israeli people? And so anyway,
1499
2:09:24 --> 2:09:30
I'm watching this and I was thinking, oh my gosh, I can't trust the media at all. I had never seen
1500
2:09:30 --> 2:09:36
CNN like that. And in Europe, it was actually more biased than it is here, if you can believe that.
1501
2:09:38 --> 2:09:44
But that's how it was. And it was really shocking. The thing is, though, that that revelation that I
1502
2:09:44 --> 2:09:51
had is something that I wouldn't have had if I hadn't moved to the Netherlands. And today,
1503
2:09:51 --> 2:09:55
I probably wouldn't have had it at all, because today America and the Netherlands are probably
1504
2:09:55 --> 2:10:00
the same as far as CNN is concerned. So it's tough. This has to happen on an individual basis.
1505
2:10:00 --> 2:10:[privacy contact redaction]ew, I want to let the others ask a question. One last question. Do you think it's possible
1506
2:10:05 --> 2:10:12
that the present worship of computers by so many human beings and computers and mobile phones and
1507
2:10:13 --> 2:10:[privacy contact redaction] of it, you know, this kind of non-human world,
1508
2:10:17 --> 2:10:21
do you think it's possible that the worship of computers in the largest
1509
2:10:21 --> 2:10:24
is going to bring us down, the human species down?
1510
2:10:26 --> 2:10:31
I think it's possible. I think it's possible, especially now that we have drones and AI.
1511
2:10:31 --> 2:10:[privacy contact redaction]ually are, I think, one of the scariest inventions I've ever
1512
2:10:37 --> 2:10:[privacy contact redaction] of. And, you know, when they were first created, I remember one of my colleagues at work
1513
2:10:41 --> 2:10:47
coming in with a little helicopter, a drone helicopter. And at the time, I was thinking
1514
2:10:47 --> 2:10:[privacy contact redaction]one robot dogs being deployed in, I want to say Iraq, some place in the
1515
2:10:55 --> 2:11:[privacy contact redaction] And they were shooting at targets that they'd identified as hostile. But as I watched
1516
2:11:02 --> 2:11:07
those things, it looked like little robot dogs running around in a street crowded with civilians.
1517
2:11:07 --> 2:11:12
I was thinking, oh my gosh, this is incredibly dangerous because now there's no risk of loss of
1518
2:11:12 --> 2:11:[privacy contact redaction]e running these robots and tremendous risk to the other side. Just very
1519
2:11:20 --> 2:11:24
frightening. Yeah, I agree with you. Yeah, I think it could bring down humanity.
1520
2:11:25 --> 2:11:32
So essentially, and you could say in the wider sense, he could say in the way human beings
1521
2:11:32 --> 2:11:39
are in danger from other human beings, hubris and lack of humility.
1522
2:11:42 --> 2:11:[privacy contact redaction] a slightly different way. As far as I'm concerned, the computers may be a
1523
2:11:46 --> 2:11:52
tool, but the real problem, and this might sound a little cuckoo to you guys, but as far as I'm
1524
2:11:52 --> 2:12:01
concerned, is atheism. Because I'm looking at people turning away from God and moral principles, and
1525
2:12:01 --> 2:12:07
that all by itself led to everything else. That's my opinion. And I started out as an atheist,
1526
2:12:07 --> 2:12:[privacy contact redaction], just so you know. Sure, there's no fear of accountability from God in the future.
1527
2:12:13 --> 2:12:20
Yeah, well, and also the preposterous arrogance of thinking that since God doesn't exist from
1528
2:12:20 --> 2:12:27
their point of view, that we are God, and we can make it. Exactly. Yes, well put. Very brilliant.
1529
2:12:27 --> 2:12:32
Thank you, Andrew, so much for coming on and for your brilliant insights, especially that last one.
1530
2:12:33 --> 2:12:39
Thank you so much. So Albert, I don't know where Charles is. He's in, it's early in Australia, so
1531
2:12:39 --> 2:12:47
Albert is from VAERS, and I think he might need you, Andrew. Okay. Hi, Andrew. My name is Albert
1532
2:12:47 --> 2:12:55
Benavides. I'm the creator of VAERSAware.com. My background is just medical billing for multiple
1533
2:12:55 --> 2:13:04
decades, and at one point I was a HMO claims auditor, and I think I was a very, very, very
1534
2:13:04 --> 2:13:11
you know, at one point I was a HMO claims auditor, and I think a lot of what I had to do
1535
2:13:12 --> 2:13:[privacy contact redaction]ems had a lot of similarities of what you just presented today.
1536
2:13:26 --> 2:13:35
And like one of the things when you presented your record, like the record that said,
1537
2:13:38 --> 2:13:46
you know, the status was duplicate or active, and I think you used a word, you're using a word clone,
1538
2:13:46 --> 2:13:[privacy contact redaction] in my head, I'm thinking, I'm correlating that. I'm like, man,
1539
2:13:52 --> 2:13:58
in medical billing we would call that a duplicate. Like you made reference, you know, like around
1540
2:13:58 --> 2:14:05
here, you know, doctors offices, the duplicate record is the bane of their existence. It's like
1541
2:14:05 --> 2:14:13
there's everybody has like 50 Maria Hernandez's, you know, so these duplicates. Is that what you
1542
2:14:13 --> 2:14:17
meant when you're, when you refer to these clone records? They're in effect kind of like, no,
1543
2:14:17 --> 2:14:25
I'm not. And no, and I specifically use the word clone because I'm aware of what a duplicate is,
1544
2:14:25 --> 2:14:[privacy contact redaction]icate. Okay. And this is also because the nomenclature in New York
1545
2:14:31 --> 2:14:37
only allows for the one term, which means it encompasses both types of records, which doesn't
1546
2:14:37 --> 2:14:43
make any sense because they can't be distinguished. It's like calling us humans, but not distinguishing
1547
2:14:43 --> 2:14:46
by sex means we can't differentiate between men and women. And in this case, it means you can't
1548
2:14:46 --> 2:14:54
differentiate between legal and illegal. So in New York, a duplicate record will have different
1549
2:14:54 --> 2:14:59
county ID numbers, but the same state ID numbers. And this is allowed because the, you can move from
1550
2:14:59 --> 2:15:07
one county to another, provided of course, that the old county ID number is made inactive by
1551
2:15:07 --> 2:15:13
purging it. But the thing is, is that because you have the same state ID that goes with you wherever
1552
2:15:13 --> 2:15:18
you go, you can vote and other people can vote with confidence that people aren't getting an
1553
2:15:18 --> 2:15:[privacy contact redaction]y to vote more than one. But a clone is where they take all of your identity information
1554
2:15:23 --> 2:15:[privacy contact redaction]ly the same as the original one, except for one thing.
1555
2:15:28 --> 2:15:34
They give it another ID number. And so as far as the system is concerned, it's another human being,
1556
2:15:34 --> 2:15:39
which means it's another valid record to which they can send a absentee mail in ballot. And one
1557
2:15:39 --> 2:15:44
thing I didn't mention in my presentation, but I'll just mention right now is one thing I know is
1558
2:15:44 --> 2:15:48
in one particular case, and by the way, I didn't check too many of these because they're very
1559
2:15:48 --> 2:15:53
difficult to check. This is the kind of thing where other people have to get in their cars and
1560
2:15:53 --> 2:15:[privacy contact redaction]ions to find the answers. But one guy who had [privacy contact redaction]rations,
1561
2:15:58 --> 2:16:[privacy contact redaction]ration document so that he was asking to have absentee ballots sent
1562
2:16:06 --> 2:16:13
to him, but they were being sent to a rental mailbox in a shopping center. So he had 25 IDs
1563
2:16:13 --> 2:16:21
in 25 counties, but he was getting 25 ballots, mail in ballots sent to a mailbox in another county.
1564
2:16:23 --> 2:16:28
That kind of thing can't be done with cloned records. I'm sorry with duplicate records,
1565
2:16:28 --> 2:16:[privacy contact redaction]s. Does that make sense?
1566
2:16:30 --> 2:16:42
Yeah, absolutely. I was wondering if these election records and transactions, and as it's
1567
2:16:42 --> 2:16:50
flying through space from one database, from one computer to another computer, are they covered
1568
2:16:50 --> 2:16:[privacy contact redaction]ions?
1569
2:16:53 --> 2:16:59
You know, it's interesting you asked that. That was something I wanted to explore with
1570
2:17:01 --> 2:17:[privacy contact redaction]ed Sovereign Americans, but that just got dropped through the cracks at some point.
1571
2:17:08 --> 2:17:12
But it seems to me that HIPAA's... What was that?
1572
2:17:12 --> 2:17:14
Oh, go ahead. Go ahead. I'm sorry. I interrupted.
1573
2:17:15 --> 2:17:21
Yeah, it seemed to me that the HIPAA requirements would have prevented the kind of problems that
1574
2:17:21 --> 2:17:26
we're seeing. And having actually committed these errors or having these errors committed
1575
2:17:26 --> 2:17:32
to the voter rolls would be considered a violation of HIPAA. But the thing is, HIPAA has to do with
1576
2:17:32 --> 2:17:37
patient privacy more than anything else. And in this case, the records are all public,
1577
2:17:37 --> 2:17:42
so it wouldn't necessarily apply to them. However, the standards of HIPAA, it seems to me,
1578
2:17:42 --> 2:17:[privacy contact redaction]s for database management. And on that level, they become relevant to the New
1579
2:17:49 --> 2:17:57
York voter rolls. Make sense? Yeah. One of the P's in the word in the acronym HIPAA is portability.
1580
2:17:57 --> 2:18:04
And that's kind of where I had my niche working for, you know, in my medical... I could say
1581
2:18:04 --> 2:18:12
medical billing, but I actually, for a good part, I worked at a laboratory for a good 10 years. And
1582
2:18:12 --> 2:18:[privacy contact redaction]ronic data interchange chops during that time. And, you know, with this
1583
2:18:21 --> 2:18:28
health information, you know, we're receiving reimbursements. So it crosses over and it
1584
2:18:28 --> 2:18:35
overlaps with a lot of the financial data, you know? So that's why this standard called ANSI
1585
2:18:35 --> 2:18:44
5010, with the acronym for ANSI, is American National Standards Institute, 5010 language,
1586
2:18:44 --> 2:18:55
ASC X-12 format. It's just the structure of how data is moving through the system and like the
1587
2:18:55 --> 2:19:03
rules. So then we're talking about these loops and segments and headers and trailers and packets of
1588
2:19:03 --> 2:19:[privacy contact redaction]ling, you know, on the information highway, like even kind of like when we get into
1589
2:19:09 --> 2:19:[privacy contact redaction] and we have a license plate on the front of our car and
1590
2:19:15 --> 2:19:23
in the back of our car, we now become that packet of information on the highway with a header and a
1591
2:19:23 --> 2:19:32
trailer. And a lot of that has to do with, you know, this encryption thing to keep things private
1592
2:19:32 --> 2:19:40
or, you know, stuff like that. So I put a link in there in the comments up above and it was called
1593
2:19:40 --> 2:19:[privacy contact redaction]itute or something like that. And it's all the ANSI codes. And I was
1594
2:19:48 --> 2:19:54
wondering if you ever dove into that or familiar with that or you already know about that. But
1595
2:19:54 --> 2:19:59
those were like, gives you all the codes like the rules. I'll have to look to see. It sounds like
1596
2:19:59 --> 2:20:05
something I did look at, but I have looked into so many things now that it's kind of hard to know for
1597
2:20:05 --> 2:20:11
sure. One thing I will tell you, and I'm not going to say too much on this because I've got a
1598
2:20:12 --> 2:20:[privacy contact redaction] been consulting ever since I first discovered the algorithm
1599
2:20:16 --> 2:20:22
because I wanted his insights due to his interactions with very large databases because
1600
2:20:22 --> 2:20:28
he works at a huge company and a senior physician. And I wanted to compare what I was finding with
1601
2:20:28 --> 2:20:34
normal for him, but he likes privacy. So I don't want to go too far with this. But the,
1602
2:20:35 --> 2:20:[privacy contact redaction]ry works with the government and he often has to deal with internal fraud
1603
2:20:42 --> 2:20:[privacy contact redaction] it works is people on his team will flag something or he'll have an
1604
2:20:49 --> 2:20:54
idea for how to find something to flag and he'll ask his team to look for it. And once they've
1605
2:20:54 --> 2:20:59
found the flags, they'll go ahead and send it to their fraud team. And then they investigate.
1606
2:20:59 --> 2:21:07
He's developed tools for improving the security of their product because they have a very large
1607
2:21:09 --> 2:21:12
fraud problem where they can lose as much as several hundred million dollars
1608
2:21:12 --> 2:21:15
in a year or two fraud. So policing that is very important to them.
1609
2:21:17 --> 2:21:22
What he was telling me is that even some of the more minor things that I've discovered
1610
2:21:23 --> 2:21:[privacy contact redaction] been a major red alarm situation at his company that it would, they would drop
1611
2:21:29 --> 2:21:[privacy contact redaction]ly what happened, who did it, why it happened, et cetera,
1612
2:21:35 --> 2:21:40
and fire everybody responsible and then get it dealt with. But when it came down to the
1613
2:21:40 --> 2:21:45
the algorithms and some of the, and the port signatures and so on, he said at that point,
1614
2:21:45 --> 2:21:49
there are lawyers would be involved and they'd be sending people to jail. And he said there's
1615
2:21:49 --> 2:21:[privacy contact redaction]ion in his mind whatsoever exactly what the outcome would be.
1616
2:21:53 --> 2:21:59
Given his level at the company, he would be in a position to actually make that happen. So
1617
2:22:00 --> 2:22:05
that's my impression. But he's the one who mentioned HIPAA to me the first time. And I
1618
2:22:05 --> 2:22:09
started looking into it and realized that standard actually looks like something that would be
1619
2:22:09 --> 2:22:[privacy contact redaction]andard that you're talking about, I just clicked on your
1620
2:22:15 --> 2:22:21
link. And I think I'm not going to be able to concentrate on reading this while I'm trying
1621
2:22:21 --> 2:22:[privacy contact redaction]ions. So I'm going to have to defer and answer later. I'm sorry.
1622
2:22:25 --> 2:22:37
No, later. Keep my number. We got the same passions, I think. And I'm glad to help you
1623
2:22:37 --> 2:22:[privacy contact redaction] I can for anything I know. But what makes me slightly unique in this little group here is
1624
2:22:45 --> 2:22:54
I'm an HMO claims auditor, medical data guy by profession, looking for fraud. So it's kind of
1625
2:22:54 --> 2:23:05
similar. But I was really, as technical as your presentation was, it was fascinating to me because
1626
2:23:05 --> 2:23:11
it's like my bells and whistles go off in my head. And I can't explain why. But it's just like,
1627
2:23:11 --> 2:23:17
yeah, yeah, I get that. Your algorithms, your spiral and your jingle, I was like, yeah, yeah,
1628
2:23:19 --> 2:23:[privacy contact redaction]s, thank you. Well, I've got no problem. And thank you. And you too. Yeah, my impression
1629
2:23:27 --> 2:23:32
is that there are a lot of similarities between the type of findings I've made in New York's
1630
2:23:32 --> 2:23:38
voter rolls and what I've seen of fraud in the healthcare industry. So for instance, when you
1631
2:23:38 --> 2:23:[privacy contact redaction] and then go ahead and populate one half of it with a bunch of paid for
1632
2:23:47 --> 2:23:[privacy contact redaction]ors and the other side with a bunch of homeless shelters that you encourage homeless people to go
1633
2:23:52 --> 2:23:56
into, and then you give them prescriptions from the doctors on the other side of the street for
1634
2:23:56 --> 2:24:01
drugs. And then you go ahead and build the insurance company for the drugs that you're actually not
1635
2:24:01 --> 2:24:[privacy contact redaction]ead, you're giving them these addictive things, which is why they live on the
1636
2:24:04 --> 2:24:[privacy contact redaction] to create all these identities and you wind up doing essentially
1637
2:24:09 --> 2:24:15
what you did in the voter rolls here. That sounds familiar to you? Yeah, we had the same kind of
1638
2:24:15 --> 2:24:21
frauds even in lab, you know, and maybe these buzzwords might ring a bell to you, but we had,
1639
2:24:21 --> 2:24:29
you know, requisition forms. And then we had accession numbers. So when the request was made,
1640
2:24:29 --> 2:24:[privacy contact redaction]em. And, you know, at the fourth largest lab in the country,
1641
2:24:35 --> 2:24:38
there's, you know, there's like a hundred draw stations all over the nation,
1642
2:24:40 --> 2:24:[privacy contact redaction] at all at once at the same time. So like, like down to the femto
1643
2:24:46 --> 2:24:52
second, the system would, would issue that internally an accession number. And a part of my
1644
2:24:53 --> 2:24:58
keeping trying to keep track of all these things, it's like, you have to figure out, you could kind
1645
2:24:58 --> 2:25:[privacy contact redaction]amps with the accession numbers and the requisition numbers,
1646
2:25:04 --> 2:25:11
you know, when, because we realized like, hey, you know, call back to this draw station in Los
1647
2:25:11 --> 2:25:18
Angeles, we think that somebody is snatching like big gaps of, of, of recs of requisition,
1648
2:25:18 --> 2:25:25
like blank ones, because you're requesting new ones way too fast. And it's not matching
1649
2:25:25 --> 2:25:30
the volume of accession numbers that you're generating. So the, so we found a scam and we
1650
2:25:30 --> 2:25:35
found a scam in there, you know, like, oh yeah, one of our employees was stealing a whole bunch.
1651
2:25:38 --> 2:25:[privacy contact redaction] remind me of something that I didn't say. And I want to mention
1652
2:25:41 --> 2:25:48
is that to date, many of the, the, much of the research that's been conducted into the election
1653
2:25:49 --> 2:25:56
has concentrated on things that the other side can, to an extent, plausibly deny as
1654
2:25:56 --> 2:26:03
innocent or accidental somehow, or a glitch that's, you know, not anyone's fault. What the algorithm
1655
2:26:03 --> 2:26:09
does is show that it's all intentional. And that's something that's really hard to get around. You,
1656
2:26:09 --> 2:26:[privacy contact redaction] can't say that this alien algorithm that doesn't belong in the voter roll database
1657
2:26:16 --> 2:26:23
has no legitimate purpose for being there, could have possibly been a unintended artifact of some
1658
2:26:23 --> 2:26:[privacy contact redaction]ually a very important point. Oh, and I see a hand. Am I supposed
1659
2:26:29 --> 2:26:32
to, no, I'm not picking, the moderator's picking the wrong answers. Okay, go ahead.
1660
2:26:33 --> 2:26:37
Right on, Andrew. Thank you so much. Yep, no problem.
1661
2:26:39 --> 2:26:45
So that's really important point you made just then, Andrew. Next question from Diana Marie
1662
2:26:46 --> 2:26:56
Henry. Well, Diana. Thank you very much. I really, I'm horrified, of course,
1663
2:26:57 --> 2:27:05
but I think that, you know, I understand there's, there's great potential here for informing the
1664
2:27:05 --> 2:27:13
public, especially with the help of Jerome Corsi. But I wonder if you've also considered
1665
2:27:13 --> 2:27:[privacy contact redaction] They've had a lot of success, of course,
1666
2:27:21 --> 2:27:27
clean up their voter rolls. Yeah, let me just, let me just tell you something about my personality.
1667
2:27:28 --> 2:27:34
My nature, I don't go out and try to contact people. They contact me and I'm generally willing
1668
2:27:34 --> 2:27:40
to talk to them, but I usually don't like going out and networking, especially when I have to make
1669
2:27:40 --> 2:27:46
a living, which I'm not doing very well right now. So that's, that's my primary focus. However,
1670
2:27:46 --> 2:27:51
when I was working with New York Citizens Audit, I was interested in Judicial Watch
1671
2:27:51 --> 2:27:58
and I did talk about it with Marlee Hornick. And she did contact them. And as I remember the response,
1672
2:27:59 --> 2:28:[privacy contact redaction]omatic, rather undiplomatic, actually, I think I remember Marlee
1673
2:28:05 --> 2:28:11
saying that Tom Fitton wouldn't take her calls for quite a while. And then finally, when he did,
1674
2:28:11 --> 2:28:18
he basically blew her off. But one thing I will say about Judicial Watch that is kind of interesting
1675
2:28:18 --> 2:28:[privacy contact redaction] New York City for having voter registrations that
1676
2:28:25 --> 2:28:31
needed to be removed. And they settled that case when New York City's Board of Elections
1677
2:28:31 --> 2:28:[privacy contact redaction]s. So I saw the settlement agreement, which is published
1678
2:28:38 --> 2:28:45
on Judicial Watch's site, and they gave a number of records that were removed as of a certain date.
1679
2:28:45 --> 2:28:51
And I realized when I looked at that, that I had a voter roll database before and after that date.
1680
2:28:51 --> 2:28:[privacy contact redaction]ually removed or not. I suspected they hadn't been. And I checked
1681
2:28:57 --> 2:29:04
and I found, in fact, that they hadn't been. And that information, I tried to get to Tom Fitton.
1682
2:29:04 --> 2:29:08
I don't know if he ever got it, but I wrote an article about it for Red Voice Media.
1683
2:29:10 --> 2:29:15
And I talked about it quite a bit. It's time. And I think I may even have mentioned it. I'm
1684
2:29:15 --> 2:29:22
not totally sure about this in my Caesar Cipher article as well. But he never seemed to react to
1685
2:29:22 --> 2:29:28
that. But my impression was that although some records were purged, they were either
1686
2:29:29 --> 2:29:[privacy contact redaction]d with more clones or they never deleted the records they said they deleted.
1687
2:29:36 --> 2:29:41
And yet, Fitton was claiming that as a group victory. So I don't really count it as a victory
1688
2:29:41 --> 2:29:[privacy contact redaction]e on the other side don't do what they say they did. And when by saying it, they
1689
2:29:45 --> 2:29:[privacy contact redaction], which that's my opinion of what happened. I suppose
1690
2:29:49 --> 2:29:52
it's possible that there's some data out there that would make me change my mind. But at the
1691
2:29:52 --> 2:29:58
moment, that's my opinion. So that's my answer about Tom Fitton. Sorry. Otherwise, I like them.
1692
2:29:58 --> 2:30:04
I think they're great. It wasn't necessarily about Tom Fitton. I sent you some information
1693
2:30:04 --> 2:30:[privacy contact redaction]igative reporter with whom I was attached. I was not in touch with Tom Fitton.
1694
2:30:11 --> 2:30:[privacy contact redaction] double checked on Judicial Watch's agreement and then
1695
2:30:19 --> 2:30:26
they were, I guess, maybe deceived or didn't follow up. Anyway, thank you.
1696
2:30:26 --> 2:30:32
Yeah, I think they were deceived and then they either didn't. And I think they didn't follow up.
1697
2:30:32 --> 2:30:36
Why they didn't follow up. Maybe they felt it wasn't worth it because they got part of what they
1698
2:30:36 --> 2:30:[privacy contact redaction]s thought that the fact that the settlement agreement appears
1699
2:30:47 --> 2:30:[privacy contact redaction] of elections in New York City was much more
1700
2:30:55 --> 2:31:[privacy contact redaction]ing than the lawsuit itself. And I've always been disappointed that that particular
1701
2:31:00 --> 2:31:10
story never went anywhere. Thank you. Thank you. No problem. Thank you.
1702
2:31:10 --> 2:31:[privacy contact redaction]d succeeded by another. Amazing.
1703
2:31:19 --> 2:31:22
Oh, yes. Yes. By the way, Stephen, I do have a hard time hearing you. So
1704
2:31:24 --> 2:31:27
until you were into your fourth or fifth word, I hadn't heard a thing.
1705
2:31:28 --> 2:31:33
I don't understand that. No. Yeah. Okay. Sorry about that. So Peter Underwood is next.
1706
2:31:33 --> 2:31:35
That's okay. He's in South Africa.
1707
2:31:36 --> 2:31:41
Thank you. Yeah, I'm in South Africa. Hello, Andrew. Thank you so much for a wonderful
1708
2:31:41 --> 2:31:49
presentation. I'd really like to ask you, well, I get the impression on these meetings and everything
1709
2:31:49 --> 2:31:55
else I do. Researching all this area. I've written a book too about the global financial system,
1710
2:31:56 --> 2:32:06
which was sparked by the Cyprus bank robbery in 2013. I'm getting the impression, I think,
1711
2:32:06 --> 2:32:[privacy contact redaction] with me because it's dear to my heart. I got the
1712
2:32:12 --> 2:32:17
impression that we don't think we're going to win against this, that these guys own basically the
1713
2:32:17 --> 2:32:[privacy contact redaction]ern world. And he made the point that the best way or the best defense
1714
2:32:28 --> 2:32:[privacy contact redaction]ay the game, not comply and move away. Get out of the system. How do you feel about that?
1715
2:32:38 --> 2:32:45
I tend to agree, but I also feel that God has a role to play in this and that against God,
1716
2:32:46 --> 2:32:[privacy contact redaction]and God's will. So if God decides to help us out, then it really doesn't
1717
2:32:53 --> 2:32:58
matter what's going on on the other side, we're going to win. And on the other hand, I also feel
1718
2:32:58 --> 2:33:[privacy contact redaction] If he wants to punish us somehow and let us all run this course, then that's going to
1719
2:33:03 --> 2:33:09
happen no matter what we do. So we can only, but the thing is we can only behave righteously and
1720
2:33:09 --> 2:33:[privacy contact redaction] as far as I'm concerned. I agree, Andrew. I really agree. Ephesians 6
1721
2:33:20 --> 2:33:28
tells us to take up the armor of God and I'm with you 100% with that regard.
1722
2:33:29 --> 2:33:[privacy contact redaction]ion during the flood, so there's no guarantee either way, I suppose.
1723
2:33:39 --> 2:33:43
So I'd just like to ask you. Go on.
1724
2:33:45 --> 2:33:50
Oh, I'm sorry. There's some kind of a delay on this, which is making it difficult to talk
1725
2:33:50 --> 2:33:56
far over you. It's not your fault, it's technology. But as far as I'm concerned,
1726
2:33:57 --> 2:34:[privacy contact redaction] that this is all ultimately in God's hands does not mean we sit around waiting
1727
2:34:02 --> 2:34:09
for somebody else to do something because we all have a positive duty to always be righteous
1728
2:34:09 --> 2:34:16
in everything we do and obedience to God. And so what that means to me is I can't let go of this.
1729
2:34:17 --> 2:34:[privacy contact redaction] found because to do otherwise is to allow them to be harmed
1730
2:34:24 --> 2:34:29
by whatever is going on here. And that's not something that I feel I can ethically allow.
1731
2:34:31 --> 2:34:38
And I believe that with me and you and Jerome and Stephen and other people and Diana and all
1732
2:34:38 --> 2:34:[privacy contact redaction]e on this call and elsewhere, eventually there will be that critical mass that's needed
1733
2:34:45 --> 2:34:53
to give God basically the tools that are necessary to fix this or to right this boat,
1734
2:34:54 --> 2:35:00
which ultimately I believe is going to happen. But I actually don't even care if it's going to
1735
2:35:00 --> 2:35:[privacy contact redaction] it's up to me to always behave righteously. And so I'm just going
1736
2:35:07 --> 2:35:11
to take that and let somebody else worry about the rest because that's not my responsibility.
1737
2:35:11 --> 2:35:17
Does that make sense? Yeah, that's wonderful, Andrew. Thank you. I applaud that and share your
1738
2:35:17 --> 2:35:24
views. And articulating what you've just said, Andrew, terrifies the people we're up against,
1739
2:35:24 --> 2:35:[privacy contact redaction]e like you talking like that. But I respect what you
1740
2:35:30 --> 2:35:[privacy contact redaction] Jim is the next question. He's a doctor and a radiologist.
1741
2:35:41 --> 2:35:[privacy contact redaction]aud your work. I'm not sure if you know about Leah Hoops and Greg Stenstrom
1742
2:35:48 --> 2:35:54
in Pennsylvania. They wrote a book called The Parallel Election. And in that book,
1743
2:35:54 --> 2:36:[privacy contact redaction] seen the book. Okay, I'd like to put you in touch with them because they need to just have
1744
2:36:00 --> 2:36:09
this information in addition to what they already have. Your algorithms are fascinating. And it's
1745
2:36:09 --> 2:36:18
very important to identify how the what I would call the demonic presence that is that maybe within
1746
2:36:18 --> 2:36:26
our intelligence agencies, the Department of Defense that have taken over. And we need to
1747
2:36:26 --> 2:36:32
align with the truth. I'm very I'm grateful for what you've told everybody because what we you
1748
2:36:32 --> 2:36:39
know, we're this battle is bringing the truth to this earth. And and not just keeping it to ourselves,
1749
2:36:39 --> 2:36:44
but bringing it to the opposition, including the intelligence networks and saying, Hey, please
1750
2:36:44 --> 2:36:[privacy contact redaction]op interfering and rigging the elections. And please go back to
1751
2:36:50 --> 2:36:55
telling the truth and giving this world back to God that rather than letting the demons take over.
1752
2:36:56 --> 2:37:02
And you know, I'm very glad to hear you say all of that. I'm sorry for talking over you just there,
1753
2:37:02 --> 2:37:[privacy contact redaction]ly that. And that's what I pray for when I go to bed at
1754
2:37:09 --> 2:37:[privacy contact redaction]e for God to return truth to the world for truth to emerge,
1755
2:37:16 --> 2:37:21
because that is absolutely central to all of the problems that we're seeing.
1756
2:37:21 --> 2:37:26
And the thing about the demonic thing is business. I completely agree with you about that. And the
1757
2:37:26 --> 2:37:32
thing about that, that really, I find kind of shocking is I would have had a very hard time
1758
2:37:32 --> 2:37:[privacy contact redaction]atement a few years ago, very, very hard. But as I look at all the
1759
2:37:37 --> 2:37:43
stuff that's going on around the world, not just in America, and I'm seeing how even the people who
1760
2:37:43 --> 2:37:47
are doing these things don't benefit from them. I'm trying to figure out who benefits. There's
1761
2:37:47 --> 2:37:58
basically only one one beneficiary. And that's just a second. No, it's sorry, it was not intended.
1762
2:37:58 --> 2:38:06
Good time. So here's the deal. I talked to a couple different times, we're working on stuff together.
1763
2:38:08 --> 2:38:14
So Craig Campbell, can you believe me? Sorry. There you go. Yes. And that's very important.
1764
2:38:16 --> 2:38:[privacy contact redaction]ly why I think the Department of Defense has made a deal with perhaps actual
1765
2:38:21 --> 2:38:29
demons. And because there's very few reasons that the Department of Defense would be allowed to kill
1766
2:38:29 --> 2:38:[privacy contact redaction]ates, allowed to genetically and people on this call know that I
1767
2:38:35 --> 2:38:40
speak about the genetic specificity of the SARS-CoV-2 spike protein, but be able to kill
1768
2:38:40 --> 2:38:[privacy contact redaction] And what allows this to happen? And that is a really
1769
2:38:47 --> 2:38:[privacy contact redaction]icated, really strange situation that I can talk to you about a little bit offline, maybe.
1770
2:38:51 --> 2:38:56
But the point being that we really need to bring the truth to this earth at this time,
1771
2:38:56 --> 2:39:01
because if we don't do it very soon in the next weeks or months, it looks like they are setting
1772
2:39:01 --> 2:39:[privacy contact redaction]rophe that is outlined somewhat in a movie produced by the Obamas called
1773
2:39:11 --> 2:39:[privacy contact redaction] the World Behind, which has everything in it from, there's a lot of these incidents that
1774
2:39:18 --> 2:39:23
are going on, including cyber warfare. And the cyber warfare that you're dealing with right now
1775
2:39:23 --> 2:39:30
is really specific, not just to the NSA and the CIA, but also to a group called Unit 8200.
1776
2:39:31 --> 2:39:[privacy contact redaction] 8200? I'm not. Unit 8200 is...
1777
2:39:37 --> 2:39:[privacy contact redaction]uff you're talking about is making me think that if you really want the hairs on the end of
1778
2:39:44 --> 2:39:[privacy contact redaction]and up, you need to look at my other sub-stacks that I don't advertise, which
1779
2:39:49 --> 2:39:[privacy contact redaction]eam research, because I had some very interesting stuff up there too. And Jerome
1780
2:39:55 --> 2:39:58
has seen some of that, so if he's still on the line, he could comment.
1781
2:39:59 --> 2:40:06
Okay, I can contact him and try to get the information. So, right. But the issue is...
1782
2:40:07 --> 2:40:11
Again? I'm just waiting for you to finish. Go ahead.
1783
2:40:12 --> 2:40:17
Okay. So the issue is that we really need to... The cyber intelligence stuff is very,
1784
2:40:17 --> 2:40:21
very important, because if we don't stop the intelligence agencies, who seem to have been
1785
2:40:21 --> 2:40:[privacy contact redaction]ions, but infiltrating everything from our hospital networks to the
1786
2:40:26 --> 2:40:32
military to the township governments, then we are going to have a serious problem on our hands,
1787
2:40:32 --> 2:40:41
because... And they are going to false flag other countries like Russia, Iran, Iran, China.
1788
2:40:43 --> 2:40:49
And they're going to blame all these other places when the cyber powers are the United States and
1789
2:40:49 --> 2:40:56
Israel. And we know that. Yeah, well, I'm looking at this as an existential global threat.
1790
2:40:57 --> 2:41:02
Well, the existential global threat is the United States intelligence agencies, along with Six Eyes,
1791
2:41:02 --> 2:41:09
the six intelligence agencies of the countries that are being depopulated the most. United States,
1792
2:41:11 --> 2:41:[privacy contact redaction]ralia, New Zealand, Canada, United Kingdom, and the Six Eyes, Israel. And we really need to
1793
2:41:17 --> 2:41:[privacy contact redaction] that there are good and bad in all these countries. And we need to
1794
2:41:21 --> 2:41:[privacy contact redaction]op God's bad son or the fallen angels from allowing everybody
1795
2:41:30 --> 2:41:[privacy contact redaction]e for doing evil stuff, even though they're getting paid for it.
1796
2:41:38 --> 2:41:44
And that's really the crux of it. Yeah. Yeah, I agree. Actually, I think that that is the heart
1797
2:41:44 --> 2:41:[privacy contact redaction]e back to God, everything, all these problems go away.
1798
2:41:49 --> 2:41:[privacy contact redaction] to bring the yes, but we have to bring the truth to the people.
1799
2:41:52 --> 2:41:[privacy contact redaction]ually bring the evidence to the opposition. Any any evidence. And we were
1800
2:41:58 --> 2:42:07
talking with Kirk Moore, who has a case where the HHSOIG and the AUSA are suing him for not
1801
2:42:07 --> 2:42:12
giving the vaccines or allegedly not giving the vaccines or whatever. But we know that these
1802
2:42:13 --> 2:42:18
vaccines or virus, the SARS-CoV-2 spike protein is a bioterror weapon. And they, the intelligence
1803
2:42:18 --> 2:42:24
agencies aren't telling us that they developed it or they knew about it. They knew it was the
1804
2:42:24 --> 2:42:29
intelligence agencies know it's carcinogenic. I mean, how can they mandate that we vaccinate
1805
2:42:29 --> 2:42:[privacy contact redaction]e with a carcinogen? And if they're obligated to... Actually, I'm sorry. One thing that bugs me
1806
2:42:38 --> 2:42:43
about the vaccine that I don't hear talked about too much. It is talked about, but it's just not
1807
2:42:43 --> 2:42:[privacy contact redaction]amatic, I guess, as some of the other things is how it causes miscarriages and sterilizes its
1808
2:42:49 --> 2:42:[privacy contact redaction]ims. Because there's this larger agenda where every single front seems to be designed to
1809
2:42:57 --> 2:43:[privacy contact redaction]e from having kids or to kill the ones that we do.
1810
2:43:01 --> 2:43:09
Yes, but if you know that Albert Borla, the CEO of Pfizer, is not a physician, he's a veterinarian.
1811
2:43:10 --> 2:43:17
All right. He's a veterinarian. And his specialty is two things. Number one, his specialty is how
1812
2:43:17 --> 2:43:[privacy contact redaction]s the fertility of ram sperm. So consider taking melatonin at night. And number two,
1813
2:43:25 --> 2:43:[privacy contact redaction]ration, castrating animals with a series of vaccines.
1814
2:43:35 --> 2:43:[privacy contact redaction]rating animals with a series of vaccines the head of Pfizer?
1815
2:43:41 --> 2:43:45
My gosh. And we know that if you get SARS-CoV-2, right?
1816
2:43:49 --> 2:43:50
And if you get...
1817
2:43:50 --> 2:43:[privacy contact redaction]ing. I agree.
1818
2:43:51 --> 2:43:55
Well, I'm glad you like it. I'm glad you find this interesting. And I don't want to talk too
1819
2:43:55 --> 2:44:01
much longer because I've exceeded my time. But if that's the guy, if that's Albert Borla's specialty,
1820
2:44:03 --> 2:44:12
why don't we ask him how exactly his specialty has to do with Pfizer and why he is not giving
1821
2:44:12 --> 2:44:18
us the treatments and apologizing to the American people and to the people of the world for castrating
1822
2:44:18 --> 2:44:24
us in a genetically specific manner that may not affect him or the people who commissioned this
1823
2:44:24 --> 2:44:30
spike protein. And that's the real secret. You can't have a spike protein that castrates
1824
2:44:30 --> 2:44:[privacy contact redaction] yourself and your children or the people who invented it have to
1825
2:44:34 --> 2:44:[privacy contact redaction]en. Who did it? And nobody will tell, including the intelligence
1826
2:44:40 --> 2:44:45
agencies, will not say who invented the SARS-CoV-2 spike protein and on which supercomputer. And that
1827
2:44:45 --> 2:44:51
brings back to you, it's the supercomputers that are developing these things, the antidotes,
1828
2:44:51 --> 2:44:56
and we're not being given the antidotes. So I look forward to your solutions on how we prevent the
1829
2:44:56 --> 2:45:04
next one, because this [privacy contact redaction]ion is going to be really horrific. And how do we stop? And as far
1830
2:45:04 --> 2:45:08
as I can see, it took us four years to figure out all this nonsense. We have to stop it from
1831
2:45:08 --> 2:45:12
happening this next round. How are we going to do that? How are we going to stop?
1832
2:45:12 --> 2:45:14
I think it's going to come down to non-compliance.
1833
2:45:15 --> 2:45:22
And here's the easy way. We have to vote, but the issue is they've got three-way election now,
1834
2:45:22 --> 2:45:30
which is so easy to throw. They've got instead a Democrat, a Kennedy, can't run as a Democrat.
1835
2:45:30 --> 2:45:34
I mean, my gosh, that's ridiculous. How are we going to stop a three-way election from being thrown?
1836
2:45:35 --> 2:45:36
Thank you.
1837
2:45:36 --> 2:45:45
So thanks, Joe. So I wanted to just say, so to your point, Andrew, about getting people back to God.
1838
2:45:48 --> 2:45:52
And you mentioned the other problem that, you know, when these people do not
1839
2:45:53 --> 2:45:58
have a God, then they create their own God. And the gods for many of these human beings
1840
2:45:59 --> 2:46:06
seem to be themselves. Harari being a good example. But so one thing that was interesting
1841
2:46:06 --> 2:46:11
about three days ago, I saw an email just happened to see one email which had a subject and
1842
2:46:12 --> 2:46:20
the 10 commandments are going to be taught in Louisiana schools again, which raised the question
1843
2:46:20 --> 2:46:28
in my mind, how in the world did Louisiana ever get rid of that requirement? It's a deeply religious
1844
2:46:28 --> 2:46:35
state, as I understand it. Yeah, that's my impression too. I can't answer that question
1845
2:46:35 --> 2:46:41
because I don't know. I grew up in California and I actually do remember when there was prayer
1846
2:46:41 --> 2:46:48
in school and then it was done. And at the time, I thought that was a good thing because I didn't
1847
2:46:48 --> 2:46:[privacy contact redaction]and what was good and bad. And obviously, yeah, when my children were small,
1848
2:46:56 --> 2:47:02
I had a very good friend who made a point of I didn't really know him. He was from he was Swedish.
1849
2:47:02 --> 2:47:07
I was in Sweden at the time. And but he was a good friend. And he said,
1850
2:47:09 --> 2:47:[privacy contact redaction]en to church and introduce them to at least give them the possibility
1851
2:47:14 --> 2:47:[privacy contact redaction]uff like that. And I said, Why, why do you mention that? Nothing else. He
1852
2:47:24 --> 2:47:30
said, because if you don't, he said, your children will create their own God, and their own God might
1853
2:47:30 --> 2:47:40
be a lot worse than the God we know about. So and I thought that was I'm not a Christian. I'm open to
1854
2:47:40 --> 2:47:[privacy contact redaction]ian Church of England. But I do have noticed in the last four
1855
2:47:47 --> 2:47:[privacy contact redaction]e who pray and who get comfort from the knowledge that God is with
1856
2:47:57 --> 2:48:03
them, they are our allies, because they are so brave, and they are prepared to take risks that
1857
2:48:04 --> 2:48:[privacy contact redaction]e who don't believe in God are not prepared to take. And so those are the people I really
1858
2:48:10 --> 2:48:[privacy contact redaction] and who I've regarded as my biggest allies, that almost to a man.
1859
2:48:21 --> 2:48:27
Sorry. Sorry, I wanted to comment on that. Because this reminds me of something that
1860
2:48:28 --> 2:48:36
I've always found rather curious about most entertainment in the form of films and
1861
2:48:36 --> 2:48:43
television shows. And that is if you if you look at what the worst possible thing is that they can
1862
2:48:43 --> 2:48:[privacy contact redaction] their plot, whatever it might happen to be,
1863
2:48:48 --> 2:48:55
is death or physical torture. And as far as I can tell, based on my understanding of the world,
1864
2:48:56 --> 2:49:[privacy contact redaction] possible thing anybody can do is to be disobedient to God, that that is worse than
1865
2:49:03 --> 2:49:06
absolutely anything. There's nothing that even comes close to comparing with that.
1866
2:49:07 --> 2:49:15
And that's why the kind of threats that are levied against honest people don't affect them
1867
2:49:15 --> 2:49:20
quite as much. They might feel the pain, they might actually be harmed, they might not like it, but
1868
2:49:21 --> 2:49:26
they quite often, provided they're strong in their faith, are going to stick to their guns.
1869
2:49:26 --> 2:49:34
The reason is because they know that it is worse to be disobedient to God and his commandment
1870
2:49:34 --> 2:49:40
than it is to suffer whatever it is the bad guys might want to throw at us. That's just my feeling.
1871
2:49:42 --> 2:49:51
Yeah, so I just I've got a couple of points here. So Jim was talking to you about the
1872
2:49:51 --> 2:50:00
the guy who Kirk Moore, the doctor who's being, he said sued, but actually, as I understood,
1873
2:50:00 --> 2:50:09
is he's being he has been indicted by federally criminal criminal indictment, as I understand it.
1874
2:50:09 --> 2:50:[privacy contact redaction], that's very interesting. He was a brilliant guest. And you would get on well,
1875
2:50:17 --> 2:50:24
very well with him. And I wanted to ask you about the it seems to me that the the thing that makes
1876
2:50:24 --> 2:50:31
the discovery of the algorithms so important in your mind is that it takes away the plausible
1877
2:50:31 --> 2:50:38
deniability, which is often built into these intended crimes. You can see it in the 20s,
1878
2:50:38 --> 2:50:[privacy contact redaction] four and a half years, there's been a lot of criminality, in my opinion,
1879
2:50:43 --> 2:50:[privacy contact redaction]s there's this plausible deniability built into it, which actually makes things 10
1880
2:50:50 --> 2:51:[privacy contact redaction]rates the extent of evil. So so with the the interesting
1881
2:51:00 --> 2:51:05
thing about your discovery of the algorithms is that the plausible deniability disappears,
1882
2:51:06 --> 2:51:10
but it's still evil. So I just wondered whether you was in your comments.
1883
2:51:13 --> 2:51:21
Well, the thing that bugs me about it is that while that's true, I really wish I could take this
1884
2:51:21 --> 2:51:[privacy contact redaction] to the finish line by gaining access to the computers that they're using on the other
1885
2:51:27 --> 2:51:34
side. You know, one thing that is causing a lot of problems for everyone involved with any kind of
1886
2:51:34 --> 2:51:[privacy contact redaction]igations is that the officials on the other side aren't willing to
1887
2:51:39 --> 2:51:44
be transparent. So even though a lot tells us that they must give us certain materials,
1888
2:51:44 --> 2:51:50
they refuse to do it. And if they refuse, there's not much we can do. And what this does is it kind
1889
2:51:50 --> 2:51:55
of reminds me of when I was a little kid. And you've got a bully blocking your way at a certain
1890
2:51:55 --> 2:52:02
point, you know, the only way to get him to move is to push them out of your way. And I feel like
1891
2:52:03 --> 2:52:07
I'm just gonna call them the bad guys generically here, because I don't know who exactly is doing
1892
2:52:07 --> 2:52:[privacy contact redaction]uff. But the bad guys are essentially daring us to push them out of the way physically,
1893
2:52:14 --> 2:52:20
knowing that we don't want to because then all of a sudden we lose plausible deniability on the
1894
2:52:20 --> 2:52:[privacy contact redaction]ion. So it forces us to deal with them on a level where they have
1895
2:52:25 --> 2:52:[privacy contact redaction]rong advantage. But one good thing I happen to be seeing, or at least I think I'm
1896
2:52:32 --> 2:52:40
seeing is things seem to be turning in our favor now. It's very interesting to see that,
1897
2:52:40 --> 2:52:[privacy contact redaction] all of the advantages. And they seem to be whittled down,
1898
2:52:48 --> 2:52:54
you know, a little bit more every day and bigger and smaller chunks. And I think that eventually
1899
2:52:54 --> 2:53:01
it's going to erode to a point where there's a total loss of faith in leadership. And this is
1900
2:53:01 --> 2:53:09
something I've seen at some big companies I've worked for, where when the subordinates lose
1901
2:53:09 --> 2:53:15
faith in their superiors, the superiors lose all power because they're hamstrung, they absolutely
1902
2:53:15 --> 2:53:22
can't get anything done if the people working for them don't want to do it. And it's kind of like a
1903
2:53:22 --> 2:53:[privacy contact redaction]rike. I've seen this in more than one office, by the way. I've experienced
1904
2:53:28 --> 2:53:[privacy contact redaction]udios, the people working there somehow intuitively realized
1905
2:53:35 --> 2:53:45
that our bosses were not, they didn't really know what they were doing. As a result, they started
1906
2:53:45 --> 2:53:49
doing less work. And this became a crisis of leadership where I was ultimately offered
1907
2:53:51 --> 2:53:57
their job, along with a couple colleagues of mine. The management at Universal said, would you,
1908
2:53:57 --> 2:54:[privacy contact redaction]ew, and you two guys? So Andrew, I worked for the military, the British military,
1909
2:54:03 --> 2:54:09
and some of my officers became very good friends of mine so we could talk openly. I wasn't military,
1910
2:54:09 --> 2:54:16
I was working for the military, but I wasn't military. And they said, and they told me that
1911
2:54:17 --> 2:54:[privacy contact redaction] fear in any officer's mind is when the men turn against the officers. So, you know,
1912
2:54:25 --> 2:54:31
and very often wars are ended. So the Vietnam War, I believe, was one of these, that the officers
1913
2:54:31 --> 2:54:36
were getting shot in the back by their own men. That's when they pulled the plug on the wars.
1914
2:54:39 --> 2:54:44
It's a similar thing to what you were describing. I didn't know that. Yeah, yeah. They get shot.
1915
2:54:44 --> 2:54:51
Yeah, I mean, when the county clerk no longer believes her boss has the authority to do things
1916
2:54:51 --> 2:54:56
that she knows are illegal, and so she refuses to do them or protects herself against it by
1917
2:54:57 --> 2:55:[privacy contact redaction], if it's only Tina Peters in Colorado, they might be able to shut her up.
1918
2:55:03 --> 2:55:09
But if it's not just Tina Peters, but, you know, 20 and then 30 and then 40 and then 100 other
1919
2:55:09 --> 2:55:14
county clerks all around the country, that becomes an unstoppable wave. Because the one thing about
1920
2:55:14 --> 2:55:[privacy contact redaction]n't been noticing, or you have as well, is that we really detest it when
1921
2:55:19 --> 2:55:[privacy contact redaction]e lie to us. It's really one of the worst things that anyone can do to another person is to
1922
2:55:26 --> 2:55:36
deceive them. And with good reason, because lies put us all at risk. So if a leader is telling
1923
2:55:36 --> 2:55:43
you lies, it's very serious, because all the people he's leading, he's putting at risk of
1924
2:55:43 --> 2:55:50
losing their lives. So human beings sense when they're being lied to. And as you say,
1925
2:55:50 --> 2:55:54
it's extremely important to them, because they need to be able to trust the people who are
1926
2:55:54 --> 2:56:02
supposedly leading them. And now it seems to me that governments are promoting anti-human agendas,
1927
2:56:03 --> 2:56:[privacy contact redaction] human nature. But they've also betrayed their countries in the last
1928
2:56:07 --> 2:56:11
four and a half years. These governments and politicians. Oh, definitely.
1929
2:56:11 --> 2:56:13
And the guilty of treason.
1930
2:56:13 --> 2:56:[privacy contact redaction], as far as I'm concerned, oh yeah. I'll tell you something interesting. When I presented
1931
2:56:21 --> 2:56:[privacy contact redaction]e at the Special Investigations Unit in Albany, at the end of
1932
2:56:27 --> 2:56:33
the meeting, one of the guys there said, this is treason. Just right out like that.
1933
2:56:33 --> 2:56:33
Absolutely.
1934
2:56:35 --> 2:56:[privacy contact redaction]e of the other guys nodded their heads in agreement. But the thing is, is that
1935
2:56:39 --> 2:56:46
the truth is something that once somebody realizes that they've been deceived,
1936
2:56:47 --> 2:56:52
they lose all faith in that person. And it is very hard to recover it, if at all. So the most part,
1937
2:56:52 --> 2:56:56
once you've been lied to, it's like a cheating spouse. It's like you never really fully trust
1938
2:56:56 --> 2:57:04
that person again. And I see that is going to probably be ultimately what brings this whole
1939
2:57:05 --> 2:57:12
Altschuh-Karz down. But to get there, all of this information has to get out. So like this stuff I'm
1940
2:57:12 --> 2:57:18
talking to you about, this is just one part of the puzzle. And it's going to reach a certain
1941
2:57:18 --> 2:57:[privacy contact redaction]e, a subset of them are going to realize, oh, hey, wait a minute,
1942
2:57:23 --> 2:57:26
this realizes I've been lied to. I can't trust them anymore. Okay. So that's great. Now they're
1943
2:57:26 --> 2:57:31
on our side. But there are so many other things that are going on simultaneously. They're going
1944
2:57:31 --> 2:57:35
to reach different audiences. All those things have to happen. The vaccine stuff is terribly
1945
2:57:35 --> 2:57:42
important. And it's causing people to open their eyes. And eventually, I believe our leadership
1946
2:57:42 --> 2:57:48
will lose all of their support from their subordinates. And at that point, the whole
1947
2:57:48 --> 2:57:51
thing is going to fall apart. That's what I think is going to happen.
1948
2:57:51 --> 2:57:57
Sure. But the problem with things falling apart, Andrew, is that, you know, what's going to replace
1949
2:57:57 --> 2:58:04
it? So it's a bit, you know, when the system is broken up and falling apart, there'll be a time
1950
2:58:04 --> 2:58:[privacy contact redaction]e are not governed. And unfortunately, people, human beings, what they are,
1951
2:58:10 --> 2:58:17
you know, they like to be in cults. And the problem is atrocities get committed when there's no
1952
2:58:17 --> 2:58:21
leadership. Do you see when there's a power vacuum? And that's the worry.
1953
2:58:21 --> 2:58:30
Oh, yeah. That's one of the most dangerous aspects of the election problems that we're seeing here.
1954
2:58:30 --> 2:58:35
Like, for instance, I'm convinced, and perhaps I'm deceiving myself to be convinced this way,
1955
2:58:35 --> 2:58:40
but at the moment, I am convinced that every election in New York has been invalid for the
1956
2:58:40 --> 2:58:[privacy contact redaction] several years, possibly as far back as the year 2000. Meaning every single person who's been
1957
2:58:46 --> 2:58:51
in office, whether they actually got enough votes from the voters to put them there or not,
1958
2:58:51 --> 2:58:56
there's no way to know. And therefore, they may as well be illegitimate because all of the elections
1959
2:58:56 --> 2:59:01
have been controlled, which means the normal and appropriate remedy would be to take every single
1960
2:59:01 --> 2:59:05
person out of office, which means, as you say, we would have no government at all. We'd have no one
1961
2:59:05 --> 2:59:11
there to deal with making sure that our power is on and the lights are on and the police are getting
1962
2:59:11 --> 2:59:[privacy contact redaction]uff. I agree that would be a problem. However, sometimes you just
1963
2:59:16 --> 2:59:[privacy contact redaction]ion is, is this the difference between smoking and not smoking where
1964
2:59:21 --> 2:59:[privacy contact redaction]iving benefits from not smoking? Or is it more like taking out a very
1965
2:59:27 --> 2:59:[privacy contact redaction]d malignant tumor in your brain? It has to be removed and it has to be removed fully,
1966
2:59:33 --> 2:59:[privacy contact redaction] to be extremely careful how you do it. Now, it's more like the latter than the former,
1967
2:59:38 --> 2:59:42
but it doesn't change the fact that it has to be removed completely. And I do believe that is
1968
2:59:43 --> 2:59:49
absolutely true. I don't think any part of it should be left. And I hate to put it this way.
1969
2:59:49 --> 2:59:54
I don't want to sound like a tough guy or anything, but I don't know how America survives
1970
2:59:54 --> 3:00:[privacy contact redaction], I find it very interesting that tolerance has become the
1971
3:00:01 --> 3:00:07
tolerance has become the anthem of the bad people. Because essentially what they want is you want,
1972
3:00:08 --> 3:00:17
they want you to tolerate any evil that they might happen to commit. And as such, I would say that
1973
3:00:17 --> 3:00:26
the tolerance is, as a slogan anyway, is a very evil thing. And it's something that we have to
1974
3:00:26 --> 3:00:30
turn around. We cannot say that, let's just say, I don't know what the denomination is all over
1975
3:00:30 --> 3:00:[privacy contact redaction]e on this call belong to, but as a Christian or as a godly nation that we are going
1976
3:00:35 --> 3:00:42
to tolerate evil. It's just not going to happen. So Andrew, I think one of the key things in America
1977
3:00:42 --> 3:00:46
in particular, you know, so people who are Americans love America with good reason,
1978
3:00:47 --> 3:00:55
apart from the illegal wars and all that. But anyway, and the so people who are friends of
1979
3:00:55 --> 3:01:[privacy contact redaction], you know, that I think that one of the key things in America could be
1980
3:01:04 --> 3:01:[privacy contact redaction]arted mentioning treason, as it should be mentioned at the moment,
1981
3:01:10 --> 3:01:16
at the moment, and after the unbelievable things that have happened in the last four years,
1982
3:01:16 --> 3:01:[privacy contact redaction]and treason, they know it's wrong. And then but they need
1983
3:01:21 --> 3:01:27
to be reminded, this one of the worst crimes that can be committed, at least in the United Kingdom.
1984
3:01:27 --> 3:01:31
So until quite recently, I think in the last 20 years, the only crime that you could be
1985
3:01:33 --> 3:01:39
get a capital punishment for in the UK, in theory, this was was high treason. But I think that's been
1986
3:01:39 --> 3:01:48
removed now. So it's so according to British, Britain, the worst crime is definitely treason,
1987
3:01:49 --> 3:01:[privacy contact redaction]er. And so I think we ought to emphasize that because I agree with you that what
1988
3:01:55 --> 3:02:05
you discovered, as I understand it, the key discovery of yours is the is the the algorithms.
1989
3:02:06 --> 3:02:14
And I think that when you mentioned that the reason they need to be interested in it and
1990
3:02:14 --> 3:02:18
outraged is that it's treason. The people who set up this system.
1991
3:02:19 --> 3:02:26
Yeah. So one thing about that particular word is that the people on the other side of this are
1992
3:02:26 --> 3:02:32
trying to redefine. And they're trying to narrow it to such an extent that it becomes very difficult
1993
3:02:32 --> 3:02:37
to say that. And they're also trying to say that saying something is treason is the equivalent of
1994
3:02:37 --> 3:02:[privacy contact redaction]er, because the punishment for treason is execution.
1995
3:02:44 --> 3:02:[privacy contact redaction], I agree with you. But I'm just telling you what the other side of this looks
1996
3:02:48 --> 3:02:57
like. And the thing is, when I look at it, I think that the algorithm actually comes
1997
3:02:57 --> 3:03:04
about as close as we're going to get to showing that, particularly after look, I've only got one
1998
3:03:04 --> 3:03:08
source for this. So I don't I don't like saying this is a fact. So I'm just going to tell you what
1999
3:03:08 --> 3:03:14
the source said. And this has to be independently verified, make me feel happy about it. But
2000
3:03:15 --> 3:03:21
I showed this algorithm. I spent a lot of time with this guy, four hours in person and a couple
2001
3:03:21 --> 3:03:29
hours on the phone. And he said he'd seen this algorithm like it or the same one used in to
2002
3:03:29 --> 3:03:[privacy contact redaction]ion in I think it was Iraq. But he said the Middle East, because he said that when
2003
3:03:36 --> 3:03:43
he was with military intelligence, and Saddam Hussein was overthrown, they they went ahead and
2004
3:03:43 --> 3:03:[privacy contact redaction]ion. And the goal was to make sure the bosses didn't come back to power. And so
2005
3:03:47 --> 3:03:54
what they did was they use this tool, which he said resembled the algorithm I found to control
2006
3:03:54 --> 3:03:59
the voter rolls so that they could ensure that the candidate they wanted to win would win,
2007
3:04:00 --> 3:04:08
which would mean that they're using this in foreign countries. Okay. And that gets us a lot closer to
2008
3:04:08 --> 3:04:15
treason, because now we're using something that would be treason there here. And also,
2009
3:04:16 --> 3:04:[privacy contact redaction] of arguments. But Jerome, are you still on the call? What do you
2010
3:04:20 --> 3:04:28
think? Am I right about this or not? Jerome, I think so he's muted though. Jerome, are you there?
2011
3:04:29 --> 3:04:[privacy contact redaction] briefly. Probably. Does that make sense to you?
2012
3:04:34 --> 3:04:43
It does to me. Yes, absolutely. But I can't speak for everybody on the call. But I just wanted to
2013
3:04:43 --> 3:04:51
what so you mentioned that there was some settlement agreement which was ignored. And that was a fraud
2014
3:04:51 --> 3:04:[privacy contact redaction]s. Did you are you intending to take that up again, because that seems very important
2015
3:04:59 --> 3:05:05
to me. So if you get nowhere with, you know, if you if you question them about that, and
2016
3:05:05 --> 3:05:10
and nothing happens, then you've got proof that the that the court is being defrauded,
2017
3:05:10 --> 3:05:[privacy contact redaction] doesn't care. I have a feeling that the court doesn't care. And
2018
3:05:17 --> 3:05:[privacy contact redaction] a feeling that for whatever reason, judicial watch is uninterested in pursuing it.
2019
3:05:25 --> 3:05:30
I did publicize it by writing an article about it. And I have spoken about it to other people.
2020
3:05:31 --> 3:05:[privacy contact redaction]ion from judicial watch. And I certainly haven't had a reaction from
2021
3:05:37 --> 3:05:45
anyone else. But in my opinion, it's definitely worth following up on the explanation given in
2022
3:05:45 --> 3:05:[privacy contact redaction] documents, which are signed as you know, truthful and are a condition of the
2023
3:05:51 --> 3:05:57
settlement agreement are as far as I can tell, false by looking at the two databases involved.
2024
3:05:58 --> 3:06:02
Well, not least it shows that the rule of law isn't operating in
2025
3:06:04 --> 3:06:[privacy contact redaction] But actually one of the one of the worst things
2026
3:06:09 --> 3:06:13
that happened in America was when lawyers started getting threatened. I mean, never mind
2027
3:06:14 --> 3:06:21
the disbarred which happened to Rudy Giuliani and a few others. But before that happened,
2028
3:06:22 --> 3:06:29
we had attorneys who worked for Donald Trump, who are getting threatened by local prosecutors,
2029
3:06:30 --> 3:06:35
saying that they would go after their law licenses if they worked for Donald Trump,
2030
3:06:35 --> 3:06:39
because what Donald Trump was doing was challenging election. And this is a very bad
2031
3:06:39 --> 3:06:43
thing, nevermind that Democrats do it all the time. But when I saw that, I was thinking,
2032
3:06:43 --> 3:06:48
hey, wait a minute, we have a right to counsel of our choice, right. But if they're threatening
2033
3:06:48 --> 3:06:52
the Council of our choice, then we no longer have the Council of our choice. Absolutely.
2034
3:06:52 --> 3:06:[privacy contact redaction]itutional rights. And I haven't seen a single person
2035
3:06:58 --> 3:07:[privacy contact redaction], which really disappoints me. I've read quite a lot about the
2036
3:07:02 --> 3:07:[privacy contact redaction] I've read a lot of very popular commentators like Alan Dershowitz and
2037
3:07:07 --> 3:07:12
Jonathan Turley and a number of other attorneys who've opined on the subject, but none of them
2038
3:07:12 --> 3:07:[privacy contact redaction] that this denies us our right to counsel. And I suspect the reason may be
2039
3:07:18 --> 3:07:26
because the right to counsel is limited to, or at least it's described as a part of our criminal
2040
3:07:26 --> 3:07:34
code. And at the time, the cases that Donald Trump was filing were not criminal, they were civil
2041
3:07:34 --> 3:07:39
cases. But eventually they did become criminal cases. And it still isn't being talked about. I
2042
3:07:39 --> 3:07:44
think it's a very important issue because as soon as you start telling lawyers you're going to be
2043
3:07:44 --> 3:07:50
disbarred or you're going to be thrown in jail or you're going to be fined $94 million like Giuliani
2044
3:07:50 --> 3:07:[privacy contact redaction]y representing your client, there's no way you can have the representation of your
2045
3:07:58 --> 3:08:02
choice with that. Absolutely. Because the lawyers who otherwise represent you are not available.
2046
3:08:03 --> 3:08:11
Yep, so they use threats, I agree, and coercion. And so I was going to ask you whether you think
2047
3:08:11 --> 3:08:16
with a judicial watch they've gone quiet about that or whatever, was it judicial watch?
2048
3:08:18 --> 3:08:20
Maybe they were threatened, unknown to you.
2049
3:08:22 --> 3:08:27
Yeah, I can buy that. I mean, I don't want to cast dispersions on their motives because I don't know
2050
3:08:27 --> 3:08:34
what they are. And I certainly know that I don't want to take unnecessary risk. I don't have the
2051
3:08:35 --> 3:08:40
job right now. I mean, I do occasional freelance work. But I certainly don't make the kind of
2052
3:08:40 --> 3:08:47
money I used to make when it wasn't illegal to be a conservative in the country. And just for an
2053
3:08:47 --> 3:08:[privacy contact redaction]ance, I used to be a very well-respected, successful university lecturer. And I can't get
2054
3:08:55 --> 3:09:[privacy contact redaction]urer in America because I'm conservative and I'm not about to find one of
2055
3:09:00 --> 3:09:[privacy contact redaction]atements that they want everyone to come in. Oh, great. As far as I'm concerned,
2056
3:09:07 --> 3:09:14
there's a lot. So you won't sign them? That causes me to self- What? Sorry, what did you say you
2057
3:09:14 --> 3:09:23
won't sign them interested in? Well, they have these forms, they're called diversity and inclusion
2058
3:09:23 --> 3:09:30
statements. And so anyone who wants to apply for a job at a university has to find this thing that
2059
3:09:30 --> 3:09:35
says that you're committed to diversity, that if somebody tells you they're a girl, even though
2060
3:09:35 --> 3:09:41
they're obviously a boy, you're going to pretend that they're a girl, this kind of thing. And I'm
2061
3:09:41 --> 3:09:[privacy contact redaction], that's not something I'm going to do. It's not honest to find something like that. And anyone
2062
3:09:45 --> 3:09:[privacy contact redaction] to get a job is, you know, they're being dishonest. So I either become one
2063
3:09:51 --> 3:09:[privacy contact redaction]er to get a job or I refuse and I don't get the job. So I know people who sign those
2064
3:10:00 --> 3:10:05
forms willy-nilly because they have no, they told me they sign them because they have absolutely no
2065
3:10:05 --> 3:10:12
intention of honoring what they've signed. So I don't know what- Yeah, but I feel uncomfortable.
2066
3:10:13 --> 3:10:19
Sorry? Yes, I understand that you're- I'm not comfortable doing something like that. If it's
2067
3:10:19 --> 3:10:28
false, I just can't bring myself to find it. So essentially they sign them, they sign them daring
2068
3:10:28 --> 3:10:[privacy contact redaction]oyer to sue them if they don't, do you understand what I mean? They just don't care.
2069
3:10:35 --> 3:10:[privacy contact redaction] sign it as a ridiculous piece of paper. They have no respect for the piece of paper. They
2070
3:10:41 --> 3:10:48
have no intention of doing what they've said. And I agree. I can understand that you wouldn't
2071
3:10:48 --> 3:10:55
want to compromise yourself. I wanted to ask you, the last question was where you don't,
2072
3:10:55 --> 3:10:58
you know, if you don't want to answer this, that's fine. But where do you get your
2073
3:10:58 --> 3:11:[privacy contact redaction]rong values from, Andrew? We need more people like you.
2074
3:11:05 --> 3:11:13
I can't, I don't really know for sure. But one thing I do know is that I do have an innate sense
2075
3:11:13 --> 3:11:[privacy contact redaction] said is correct or not. And if I get a sense that it's not,
2076
3:11:21 --> 3:11:[privacy contact redaction]igate it to see why. Okay. And I also made a deal with myself a long, long time ago
2077
3:11:28 --> 3:11:34
that if I ever find out that I said something that was incorrect to someone else, I have to correct
2078
3:11:34 --> 3:11:41
it. So I will make real efforts to like track down the person and, you know, call them up or write
2079
3:11:41 --> 3:11:45
them or see them in person or whatever it is to correct the error. Now, it's not always practical
2080
3:11:45 --> 3:11:50
to do that. But what this means is it's a huge incentive for me not to make the error in the
2081
3:11:50 --> 3:11:[privacy contact redaction], which makes me a lot more careful with what I say. And it makes me more willing
2082
3:11:55 --> 3:12:[privacy contact redaction]igate things. I'll tell you one thing that's kind of an interesting subject on its own.
2083
3:12:03 --> 3:12:08
But a long time ago, when I first met my wife, she was constantly telling me, you know, Andrew,
2084
3:12:09 --> 3:12:[privacy contact redaction]ay or last week or whatever just came true. So you're having
2085
3:12:14 --> 3:12:19
dreams about the future. And I thought she was out of her mind and it was ridiculous. And I kept
2086
3:12:19 --> 3:12:24
telling her that. But then that little voice in the back of my mind said, you know, you're telling
2087
3:12:24 --> 3:12:30
her this is not true because it's impossible is not a very good answer. You have to actually prove
2088
3:12:30 --> 3:12:36
it to her and to yourself before you can actually say that honestly. So I finally figured out that
2089
3:12:36 --> 3:12:[privacy contact redaction]eams that was dated with every dream, I could prove that she was wrong.
2090
3:12:44 --> 3:12:[privacy contact redaction]ually proved she was right. At which point I had to eat my words, which I did.
2091
3:12:50 --> 3:12:56
That's what the other subject is about. I'm kind of well known in the.
2092
3:12:56 --> 3:13:[privacy contact redaction]ess of the internet address of the substance in the
2093
3:13:04 --> 3:13:10
chat or not the one you're talking about, the relatively hidden one? Yeah, I can. I don't talk
2094
3:13:10 --> 3:13:[privacy contact redaction]e are made very uncomfortable by people who claim to have had
2095
3:13:16 --> 3:13:22
this kind of experience. But I've had so many of them. I do write about it. I'm doing it right now.
2096
3:13:22 --> 3:13:30
I'm typing it in. If I were you, I would go to the earliest pages, not the most recent ones,
2097
3:13:30 --> 3:13:[privacy contact redaction]acular ones. Sorry, when you missed that one, sorry. Pardon?
2098
3:13:38 --> 3:13:44
What did you say? You said I would go to if I were you, I would go to and then that word I missed.
2099
3:13:44 --> 3:13:55
The earlier entries and the reason is because the more recent ones are they just concern
2100
3:13:55 --> 3:14:[privacy contact redaction]ion to the material than if you go to the older one.
2101
3:14:03 --> 3:14:09
I did it because I've had some dreams I think are so important that they basically should be shared.
2102
3:14:09 --> 3:14:18
You know, like 911. I had eight dreams about the [privacy contact redaction]er in the year 1990 and one in 1989.
2103
3:14:19 --> 3:14:23
And so I printed those off and I sent them to some people at the time.
2104
3:14:24 --> 3:14:29
But they're not all like that. Some of them actually do. Some of them have to do with other
2105
3:14:29 --> 3:14:[privacy contact redaction]s. Like for one, I'm going to leave out all the details and just tell you the punch line. But
2106
3:14:33 --> 3:14:[privacy contact redaction]eam that it's better to live a blameless life than to wish for and
2107
3:14:38 --> 3:14:46
receive a comfortable one. Okay. And I think that the logic of that stands on its own. And I've
2108
3:14:46 --> 3:14:51
certainly had other advice like that that I consider equally salutary. Does that make sense?
2109
3:14:52 --> 3:14:58
Yes, absolutely. It does to us anyway. Okay. Andrew, thank you so much for coming on
2110
3:14:58 --> 3:15:[privacy contact redaction]ly. And what a brilliant thing you've done. So as I understand it,
2111
3:15:05 --> 3:15:12
let's just nail this down. Are you the first one to have discovered these algorithms in the
2112
3:15:12 --> 3:15:[privacy contact redaction]ems? As far as I know, yes. And I haven't encountered anyone who has said any different.
2113
3:15:21 --> 3:15:[privacy contact redaction]ually, I'll go again, if Jerome is here, I think he'd be a better person to hear this
2114
3:15:27 --> 3:15:32
because, you know, I'm talking about myself all of a sudden. But yeah, so Jerome, are you here?
2115
3:15:35 --> 3:15:44
Jerome, I think he's walked away from this. Okay, I'll say this. But from what I'm told by the
2116
3:15:45 --> 3:15:50
the experts, like what I've been told from experts I've talked to on this,
2117
3:15:51 --> 3:15:56
this algorithm is so well hidden that they're astonished that it was ever found at all.
2118
3:15:57 --> 3:16:03
Never mind that it was me that found it. Apparently, they consider this to be almost
2119
3:16:03 --> 3:16:12
a miracle that it was found. Brilliant. Brilliant work by you. Well, after listening to you,
2120
3:16:12 --> 3:16:17
I'll tell you something. So after listening to you for over three hours now, Andrew,
2121
3:16:17 --> 3:16:23
I'm not astonished. Yeah. You're brilliant. You probably don't realize it. Well, maybe you do
2122
3:16:23 --> 3:16:27
partly but not you don't understand how brilliant you are, I think.
2123
3:16:29 --> 3:16:[privacy contact redaction], well, thank you. I appreciate it. What were you going to tell us? Okay, so
2124
3:16:36 --> 3:16:39
I didn't hear that fully, but I'm assuming you're saying goodbye now so I can hang up
2125
3:16:39 --> 3:16:[privacy contact redaction]ion? No, I'm saying that you said that you nobody thought that you
2126
3:16:49 --> 3:16:55
would be that anyone could find these algorithms and they were astonished that you had found them.
2127
3:16:55 --> 3:17:02
And I said, well, after listening to you for over three hours now, I'm not astonished. Yeah.
2128
3:17:03 --> 3:17:10
Oh, thank you. Yeah, I think the reason they were astonished it was me is mainly because they were
2129
3:17:10 --> 3:17:14
astonished that anybody found it. Okay, so it just happened to be me. So that's why they're
2130
3:17:14 --> 3:17:19
astonished it was me. Absolutely. The few who've actually gone a little bit farther than that,
2131
3:17:19 --> 3:17:[privacy contact redaction]onishing that I would, the couple who had any comment on that are,
2132
3:17:26 --> 3:17:33
I think, feel that way because I don't have a math background. And I don't have a background in
2133
3:17:33 --> 3:17:37
cryptography. But on the other hand, Wow, I've got people on the other end of it saying,
2134
3:17:37 --> 3:17:41
that's why you did find it. Because if you did have those backgrounds, you wouldn't. Yes.
2135
3:17:41 --> 3:17:[privacy contact redaction]emented was designed to avoid all of the detection
2136
3:17:48 --> 3:17:[privacy contact redaction]e with that kind of a background. So yeah, so I think that my
2137
3:17:54 --> 3:17:57
background is... I think they're both copyrights.
2138
3:18:00 --> 3:18:05
Yeah, that wouldn't surprise me. I mean, ultimately, one of the things I became known for in
2139
3:18:05 --> 3:18:12
computer graphics was my ability to fix files that had been screwed up by other people. And what that
2140
3:18:12 --> 3:18:[privacy contact redaction]icated files and find out which parts belong together and then
2141
3:18:17 --> 3:18:25
put them there. Which is very difficult, tedious work that most people don't like to do, but
2142
3:18:25 --> 3:18:31
it doesn't bother me. So I got very good at it and got a reputation for it. And that's essentially
2143
3:18:31 --> 3:18:37
what I was doing here. Very good. Oh, it looks like Jim has another comment. Should I take that
2144
3:18:37 --> 3:18:[privacy contact redaction]ion or are we ending this? Yeah, Jim, go ahead. Thank you very much. I just wanted to know if you
2145
3:18:45 --> 3:18:52
would come on Telegram for a little while and maybe share your sub stack because I can't really
2146
3:18:52 --> 3:18:59
get it through this chat and maybe talk or share some more questions and answers. The Telegram chat
2147
3:19:00 --> 3:19:[privacy contact redaction] where we can share links and things like that. And maybe in the future, we can put
2148
3:19:06 --> 3:19:11
that Telegram chat on the invitation so that afterward we can talk there if we have more time
2149
3:19:11 --> 3:19:[privacy contact redaction] more time. So if it's okay with Steven and with Charles,
2150
3:19:16 --> 3:19:24
very appreciative for their moderation. So thanks. I could do that, but not right now. I just say,
2151
3:19:24 --> 3:19:31
you know, I'm working on a project that I have to have finished by Friday and I have been delayed
2152
3:19:31 --> 3:19:38
thanks to excessive number of migraine headaches that had me in bed for about six days. So I want
2153
3:19:39 --> 3:19:[privacy contact redaction] Can I give you some information that may help you with the migraines?
2154
3:19:46 --> 3:19:[privacy contact redaction] to do that off? Yes. Yeah, do it offline because I actually have to get back to my work.
2155
3:19:53 --> 3:19:59
But that would be fine with it. Okay. And if you can't reach me, you can reach me through the
2156
3:19:59 --> 3:20:[privacy contact redaction]inking saffron tea. Consider drinking saffron tea. It increases the
2157
3:20:09 --> 3:20:16
diffusion coefficient through ischemic tissue and the spasms in the vessels are due to ischemic
2158
3:20:16 --> 3:20:24
tissue. So what helps in the acute situation is what may help. This is not advice. Talk to your
2159
3:20:24 --> 3:20:31
physician about it is sipping on some oxygen, which means like, what's this got to do with the,
2160
3:20:32 --> 3:20:37
I don't understand what this has got to do with them. It's just his own headache.
2161
3:20:37 --> 3:20:44
I'll talk to him later on. Thank you very much. Sorry. Yeah. Okay. Sorry. I think I'm going to let
2162
3:20:44 --> 3:20:50
you guys go then. Yes. Thank you. Well, I was trying to find a good time to finish, but I'm
2163
3:20:50 --> 3:20:55
not the usual moderator Charles is, but he's fallen asleep in Australia, I think,
2164
3:20:55 --> 3:21:00
because it was five o'clock in the morning when we started in Australia, in Melbourne. So thank you
2165
3:21:00 --> 3:21:09
very much, Andrew. You're a brilliant guest and I'm so happy that you've spoken to us. Oh, one last
2166
3:21:09 --> 3:21:[privacy contact redaction]e knowing what we think happened in 2020, some of us anyway,
2167
3:21:17 --> 3:21:[privacy contact redaction]e so confident that that won't happen again?
2168
3:21:23 --> 3:21:31
That I think is really peculiar. It reminds me of something, it's kind of tickling the back of my
2169
3:21:31 --> 3:21:37
mind right now. Well, I'll give you a cartoon. If you remember Charlie Brown back when that was
2170
3:21:37 --> 3:21:41
still being published and Lucy, I was pulling the football away from him at the last minute and him
2171
3:21:42 --> 3:21:46
being willing to give it another try because she kept saying, oh no, I'll hold it this time. And
2172
3:21:46 --> 3:21:[privacy contact redaction] again. I think it's kind of an endless hope that it will be done right,
2173
3:21:55 --> 3:21:[privacy contact redaction]ually doesn't know what else to do, but to hope because they have no idea how
2174
3:21:59 --> 3:22:08
to fix it themselves. Absolutely. I think you're right. Have a great day then. And it was my
2175
3:22:08 --> 3:22:12
pleasure to be able to talk to you guys, although hopefully the next time if we ever do this again,
2176
3:22:12 --> 3:22:[privacy contact redaction]ion will be better and there won't be all these time lags. Okay. By the way,
2177
3:22:16 --> 3:22:23
Jerome Corsi is a wonderful ally for you, Andrew. Oh, well, thanks. Yeah, I thought it was interesting
2178
3:22:23 --> 3:22:[privacy contact redaction]ed me. So I appreciated that. He once told me in a conversation,
2179
3:22:31 --> 3:22:37
he once told me in a conversation, I'm sure he won't mind because he's got a good sense of humor.
2180
3:22:37 --> 3:22:43
He once told me in a conversation on the phone that he should have got his PhD when he was 15.
2181
3:22:44 --> 3:22:52
So I said, when did you get your PhD? In government from Harvard, by the way. And he said 21.
2182
3:22:54 --> 3:23:00
And I thought, wow, that's pretty amazing. I wanted to do that when I was young. And I think
2183
3:23:00 --> 3:23:[privacy contact redaction], but I didn't have the money to go to school. I was one of these typical
2184
3:23:07 --> 3:23:[privacy contact redaction]ricken kids who had zero money. In fact, that's why I left college, because I only
2185
3:23:13 --> 3:23:19
had enough to go so far. And then I had to quit work for a living. Did you know Aaron Schwartz?
2186
3:23:21 --> 3:23:26
Are you familiar with the work of Aaron Schwartz, who was also a computer genius?
2187
3:23:28 --> 3:23:35
It doesn't ring a bell, but it's a fairly common name. So it's possible. Okay. Well, he was the
2188
3:23:35 --> 3:23:[privacy contact redaction]ed by the federal government for something to do with MIT. They accused him of
2189
3:23:45 --> 3:23:50
stealing documents or something from MIT. I hope I haven't got it wrong. And essentially, they bullied
2190
3:23:50 --> 3:24:00
him. That's starting to sound a little familiar. I'm actually rethinking my opinions on a lot of
2191
3:24:00 --> 3:24:09
things, thanks to my discovery of how biased the media is. There was a politician in Illinois who
2192
3:24:09 --> 3:24:17
took Obama's position in the House of Representatives. And then he got thrown in jail. And I thought,
2193
3:24:17 --> 3:24:24
well, he was a bad guy because he was selling Obama's feet. Because that's the story that went
2194
3:24:24 --> 3:24:30
out. But then he got released after being pardoned by Donald Trump. And he went ahead and gave a
2195
3:24:30 --> 3:24:35
few interviews. And those interviews indicated to me that the charges against him were Trumped up.
2196
3:24:36 --> 3:24:42
And the same thing goes for Julian Assange and Edward Snowden, both of whom I was inclined to
2197
3:24:42 --> 3:24:[privacy contact redaction]ory on until the last few years when all of a sudden my trust in the media
2198
3:24:49 --> 3:24:54
evaporated to nothing. And now I work with them and I'm thinking, well, those guys were real workers
2199
3:24:54 --> 3:25:[privacy contact redaction], I do have to run. Sure. There's a wonderful film about Harry Schwartz on YouTube,
2200
3:25:01 --> 3:25:07
I think, which I thoroughly recommend to you. It's brilliant. And he was targeted by the government,
2201
3:25:07 --> 3:25:10
for some reason unknown to us all. But thank you so much, Andrew, for coming on.
2202
3:25:11 --> 3:25:[privacy contact redaction] a good day. Bye bye. Yes. Bye bye.
