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All right, so welcome on the it must be the 31st of July for many of you and the 1st of August for

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some of us. Great to have you. What does it feel like, Josh? It's a whole new month. Yeah,

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yeah thank you guys. I see some very familiar names. Sasha, Josh, thank you guys for showing

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up. Wayne, thank you so much for showing up. You guys give me the fuel to to carry on, to fight

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the good fight. I appreciate it. Indeed, that's very good Albert and we give fuel to each other.

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This is your twice a week injection of fuel, of vitamins for the mind and the soul. So well done

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for being here. Thank you. All right, Albert, get into it. Okay, okay. So we'll have Q&A at the end

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and when Albert gets close then go to the reactions and we'll handle Q&A in the normal way

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in order. So Albert, over to you. Okay, thank you so much. So the first half of this conversation

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is going to be with respects to FOIA philosophy and strategies and I was just discussing earlier

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and what an impeccable timing Del Bigtree and Aaron Seary have regarding this last FOIA on Thursday.

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But I might get into that a little bit later but this first FOIA of this, this bears, this child,

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this two-year-old Alaskan child who died supposedly six hours after the vaccination bleeding from

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the ears, nose, and mouth and died within six hours of the vaccination per that report. And that

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report was only available for the first few minutes in the downloadable files. And what happened was

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they must have, and this was during Thanksgiving of last year, 2021, on the first day back from

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vacation, so they must have had their holiday crew in there screwing things up for them. They released

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all these reports ahead of time, actually released like 15,000 reports. Short story was that this one

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particular report was never published. Me and my, I call him my Yoda, Wayne of BearsAnalysis.com.

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We worked together, he helped me, he's very professional. He said, hey, don't shout,

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don't make a video about it. Let's wait till next week and see if they, see how many of these 15,000

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reports they publish again. So sure enough, they published exactly all of them minus the

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one child, two-year-old Alaskan baby. So Aaron Seary, we got that information to Aaron Seary.

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He saw the value of that. He filed a FOIA and got the response back saying no records. Well,

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lo and behold, unbeknownst to me, Mr. Surya, who I'm going to introduce here from France,

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as it turns out, has done a bunch of FOIAs and did a FOIA on this particular one where he actually

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got a positive response. And it was actually an email thread from John Su and whatever his last

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name is, Shimaburuku, saying that, you know, acknowledging that this VAERS ID number existed

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and whether it was, that they believed it was fake and they were going to get their subordinates to

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vet it. But that's not the point, whether it was fake or not, because the point was that

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it was never published yet it already had a VAERS ID number. So that just points to shed some light

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onto the other 25,000 VAERS ID numbers that have never been published. You know, the VAERS ID

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numbers are very easy to follow because they're sequential by increments of one, but co-mingled

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altogether with all the various VAX types. Anyways, takes a little work, but I follow

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that like an eagle. And so I know that there's 25,000 unpublished reports. But with that,

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there was strategy involved. Surya reached out to me like out of the blue and he told me about this.

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Well, we turned around and of course we got this to Aaron Ceres firm to say, hey, you know,

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hopefully this will help. But anyways, I'm going, this is Mr. Surya from France. We're going to begin

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to talk about how he was successful, where in this case, Aaron Sury wasn't this time.

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And he had, and I was listening to Surya's philosophy and ideology and his email,

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he's cobbled together like the internal emails of like everybody at the CDC based on previous

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FOIAs that he's done. And he uses that and he's very specific, like show me the email communications

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between this email and that email. So I don't want to get ahead of myself, but Mr. Surya,

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if you can enlighten us, please. Sure. I hope everybody can hear me.

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Yes. Okay, great. So I will introduce myself briefly. My name is Surya Arbi. I'm a French guy

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who tries to, I try to harass your American federal agencies with FOIA. And sometimes I can get

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successful. So can I just share my screen in order to make everybody to be able to see my slide?

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Yes. Hang on. Hi, everyone.

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Okay. You're on Surya. Sure. That's great.

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It's done. It should appear in a few seconds. Just let me know when it's okay. Yes. All good.

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Okay. I have 21 slides. I will try to go faster. So all the presentation, it's 10 PM here and I have

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to go to bed because I'm completely tired and I have to wake up early tomorrow. So let's start.

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I will discuss only the methodology I've used and not the results because the results,

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a lot of FOIA just lead to nowhere, but sometimes you can get successful. I've been denied,

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I filed a lot of requests which have been denied in the end, but I could find a trick in order to

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get in their internal systems and I will explain how I did it. Just to for the introduction,

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I'm not only doing FOIAs in targeting US agencies. I'm doing FOIAs nearly everywhere in Europe,

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in France at the European Medicine Agency. I'm targeting the English regulator. I have

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good results with the TGA, the drug agency based in Australia.

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So let's start. Quickly, you probably all know about the surveillance systems which are used

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to monitor vaccine safety on a global scale. The passive monitoring is based on VIAs,

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Vaccine Averse Event Supporting System in the US, EUDRA Vigilance in Europe. It's globally the same.

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It's passive monitoring with underreporting and some of the data has poor quality inside the

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systems. On the other side, you have active surveillance based on larger linked databases

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or administrative claims or based on electronic health records. In the US, it's mostly based on

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the vaccine safety data link managed by the CDC and several HMOs. Under the authority of the FDA,

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there are two other systems, BEST, Biologics Effectiveness and Safety, and there is another

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system named PRISM, Post-License Rapid Immunization Safety Monitoring. So let's talk a little bit about

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what Albert introduced just before. You all know that the VIAs database is publicly available,

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but sometimes they manipulate the data and they delete some stuff. So as Albert explained just a

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few minutes before, it could identify a specific VIAs ID, the team led by Aaron Searifide for your

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request and the CDC ended up with a no record found. I know this sentence by heart because I guess

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the CDC guys just make copy paste of this sentence. No, the CDC could not locate any responsive record

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to your request. So I decided to use another strategy as in the PDF file showing this report,

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we add the ID appearing. So I grabbed the ID and I filed a FOIA request and I explicitly stated

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that I wanted to retrieve any email containing this specific string of character

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in any part of the email, either or body. And I could grab some responsive records because we

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had a PDF file in some attachments of an internal discussion inside the CDC between Tom Shimabukuro,

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the head of the COVID-19 Vaccine Safety Task Force, John Su, the guy who is responsible for the VIAs,

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and Kevin Malone who is, I don't even know his exact position, but he is on the judicial side.

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So sometimes when you try to look for very specific things, just try to look for specific

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keywords or specific string of characters embedded in the email and the file of your request

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explicitly stating that you want to query the body or the header of the mail. And it will work

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great, not only for VIAs IDs, also for other stuff I will show later. So Albert gave me a bunch of

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other VIAs IDs which are missing and I have currently another FOIA request which is still

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in process to see if they are discussing of those several VIAs IDs in their internal discussions.

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But I'm not sure because you know all the VIAs management is outsourced. There is an external

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contractor and I'm not sure I will be able to grab a lot of interesting things in their emails.

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A few words about what's going on in the EU. We have something close to the VSD but much larger.

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An NGO has been created, it's named VAC4EU. There is a huge project named Access. It's a consolidated

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database with more than 130 million people. It's some kind of a very very big VSD. In Europe we have

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something called the ENCEPP, European Network for Centres of Pharmacoepidemiology and Pharmacovigilance.

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It's fully under the control of the European medicine agencies. They've posted some protocols

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so I know what they are supposed to do. And they have a website, there is a searching tool

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and you will be able to see many many many many studies which are registered in this registry.

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And what is fun, I just put in my slide some kind of extract. I will be able to share the

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PDF if you want it. And what is a little bit strange is that I could see that there are some

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American studies which I suppose are required by the FDA. The FDA has probably required those study

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to be done by the manufacturers. You can see on the bottom,

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on this slide, the next one. Yeah on the top the first one, post-marketing safety of SARS-CoV-2,

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mRNA vaccine in the US, active surveillance, SCRI. So this has been required by the FDA. It's probably

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done only in the US but I don't know what it has been registered in the European registry.

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But I'm pretty sure that the FDA knows about the existence of this study.

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There is another one on the bottom, post-emergency use active safety surveillance study among

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individuals in the Veterans Affairs Health System receiving TRIZO-BioNTech. So I'm pretty sure that

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the FDA is supposed to retrieve all the preliminary reports and the reports related to the study. And

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there is the same with COVID-19 vaccine in the US health care workers. I don't know if anyone

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has ever heard about this stuff but at least it's supposed to exist. It has been registered in a

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European registry. I don't know why. Maybe it's part of the submission because in Europe,

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in the US, you have the EU emergency use authorization. In Europe, it's not called EUA,

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it's called conditional marketing authorization. But on a global scale, it's the same. And as the

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clinical trials are not finished, the manufacturers are supposed to put in their submission projects

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of future studies, observational studies to be completed to assess vaccine safety and vaccine

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effectiveness. In the US, I love this slide. I love this picture. I grabbed this from a presentation

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given by Tom Shimabukuro last year or maybe in 2020. It has been shown at a meeting

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organized by the ACIP and it's a global overview of all the surveillance systems they have.

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So you already know about the vaccine safety data link. There is a database on Medicare

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for veteran administration. I don't think the FDA has a direct link with the DMED but there are also

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many other systems and the FDA is supposed to have full visibility on that.

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So I tried to file FOIA requests for that. Most of them ended up to be denied. I faced the usual

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exemptions B3, B4, B5, you know, and they raised a confidentiality agreement between the CDC and

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several HMOs. Maybe you've heard about the very first study which has been published on the vaccine

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safety. In the US, the immunization campaign began with the elderly and the genesis health care system.

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I filed a FOIA request to retrieve all emails between the investigators located at the Brown

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University and the NIH and I also filed another unrelated FOIA request to the CDC and I could see

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through this unrelated FOIA request that there were some discussions between Tom Shimabukuro

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because the CDC co-founded with the NIH this study and I could see that there were some

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discussions between some Tom Shimabukuro, all the investigators based at the Brown University and

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an employee of the NIH. So I filed a FOIA request at the NIH to retrieve all emails between

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this employee, Tom Shimabukuro and all the investigators as far as I know of. It's still

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in process but it's very long. I guess someone in the hierarchy is probably blocking the release

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of the documents. Okay about all the surveillance systems, there are many. To me the most interesting

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is the VSD because there is a specific project, VSD project 1342. It's called RCA, Rapid Cycle Analysis

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they are supposed to perform statistical analysis of a pre-specified set of adverse

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event of specific contrast every week and sometimes they kept some safety signals

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in their own slides shown at the ACIP. They say that it's not statistically significant.

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Actually when you do the math it's highly statistically significant. We could see at

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the beginning of March in 2021 that there was a huge problem with strokes and pulmonary embolism

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and even VTE, venous thromboembolism. There is another project done on the VSD. It's some kind

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of self-control studies but they will test all possible time windows at risk. I could retrieve

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all the protocols. There is something that has gone completely unnoticed even Brian Hooker and

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Mary Oland from CHD missed that but the FDA released a press release on the 12th July 2021

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in which they state that they had an observed number of events which is greater than the expected

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ones for four adverse events of specific interest especially with the Pfizer vaccine

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in those who are older than 65 years old in the Medicare database. So they do not provide any

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numerical results. They just say that they have the signal. They wrote specific protocols

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so they've designed some self-controlled studies. The methodology is named SCCS,

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self-controlled case series and the four adverse events of specific interest are acute myocardial

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infarction, pulmonary embolism, autoimmune thrombocytopenia and DIC disseminated intravascular

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coagulation. So they wrote the protocol. I'm sure the study has been done. For the moment they've

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not been published in the literature while the FDA on the other side published the one on the

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myocarditis and pericardialitis. So I'm pretty sure, 99% sure, that they found the problem and

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they probably won't be published as this study in the literature because in this study

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they are supposed to test two time windows at risk, one at 28 days post vaccination and the

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other one at 56 days post vaccinations. So there are other systems, BEST and PRISM. I talked about

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those a few minutes ago quickly. There are a lot of problems with the DOD and the DMED database.

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I filed many, many, many FOIA requests as a defense, health agency and so on, Medicare, HHS and

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and a lot of American agencies. The best results I could get the agencies which are the most

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responsive to me are the CDC and the NIH. I filed tens of FOIA requests to the FDA and it led to

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nowhere unfortunately. So the CDC posted a lot of protocols on their own websites so I decided to

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make a table because on the protocols sometimes there are project numbers and as you can see there

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are some project numbers which are missing. Some missing numbers are 1344, 1347 and 1349.

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So when you want to file a FOIA request to the CDC and you want to be successful, for example if

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you file a FOIA request requesting for example the full list of the projects they've done on the

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vaccine safety data link. If you just file a FOIA request like that they will just reply with a

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link to their website with the list of publication and that's it. Obviously I don't care about their

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website. I want to know the full list of the projects they've done but I mean the internal

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list. So the right methodology to query the system is to identify a record you don't have

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but you know that it does exist. For example in my FOIA request I've requested the

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title descriptions and protocols of VSD projects 1344, 1447 and 1449. This is my point of entry

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and then in the same FOIA request there is another request embedded in it. I've requested

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in the same FOIA request the full list of the project done on the vaccine safety data link

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since the inception of the database and they replied. They acknowledged to give me the full

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list of the VSD projects they've done since the beginning of the 90s and they gave me an excel

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sheet with more than 300 lines and I have the status of each project if it has been completed,

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ongoing, inactive and so on. As you can imagine many amongst those projects have never been

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published and sometimes just by reading the description you see that they identified some

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huge issue mostly with leukemia, post immunization leukemias for example.

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So targeting the agencies is a good thing but don't forget all industry funded studies because

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those reports are being sent to the agencies and sometimes you can grab some interesting

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information. I know that industry funded studies have a weak credibility but sometimes you can grab

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some interesting things. Some other things which I've noticed

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it's about the clinical trial started by the NIH on allergic reactions and I'm not sure if anyone

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could hear about that but there is a press release on the NIH website talking about that.

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They are studying menstrual issues, you know it's huge, a lot of women are being armed by that.

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I just asked by email to the press department of the NIH the grant numbers and the names of

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the investigators and they gave me everything. Sometimes it's just dropping an email to the

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right department. A lot of things which can be interesting to retrieve also are all the

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regulatory documents when the product is under development you have the DSER,

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development safety updates report when it's gone into post marketing it's called PSER,

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periodic safety updates report. I know that in Europe I'm not sure if it's the case in the US

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but when the PSER pharmacophagence report is submitted by a manufacturer to the agency

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then at least in Europe the agency designates a rapporteur and is supposed to write a report

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on the PSER. I could grab some investigator brochures I gave that to Peter Doshi,

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CSR and experts reports related to that. What I like to request is all the minutes and meeting

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notes of pharmacovigilance technical committees. I could grab in Australia I could retrieve

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an expert panel review, it's a full report of a pharmacovigilance investigation done on Gardasil

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and so on. I will provide some details about how I file my FOIA request and the methodology I use.

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The first question you have to ask is what do you want to investigate? Do you want to investigate

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people or do you want to investigate a scientific study? If you want to investigate a scientific

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study usually the first FOIA request I file is about asking the protocol. When I have the

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protocol I have all the deadlines and I have the list of all the documents and reports which

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are planned to be submitted. Then when I have the protocol I just read it and if there are some

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reports planned I just request. Usually I request all preliminary reports, all reports, all

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correspondencies, all emails, all numerical statistical tables and usually the job is done.

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If you want to investigate people, if you don't know what's going on, just ask for emails.

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Sometimes asking for emails is not enough so you have to ask for correspondencies on a global scale

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including emails. Now at the CDC they've been busted 20 years ago by Mary Holland and Lynn Redwood.

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I'm not sure if everybody knows that but Mary could grab hundreds of pages of

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emails of the CDC guys Thomas Verstraten and Frank DiStefano and now as they have been

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busted twice with that they tend to avoid writing too much and their mailbox is nearly empty.

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You won't find anything hot in their mailboxes so my next step is to ask for, I will find

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FOIA requests just to see if those records exist but a chat log of the internal collaboration

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tools. I know that for the VSD all the results are discussed through Zoom meetings which occurred,

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they are supposed to occur every week so I will file a FOIA request just to ask for the recordings

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and transcripts. Maybe, okay my request will be denied but if my requests are denied I will

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know that those records do exist. If they just reply no record found okay it's just that

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those documents and those recordings are not are not backed up. So for my FOIA request I've tried

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two strategies broad requests and narrow requests. If you file a FOIA request which is too large

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usually the CDC or the agency will get back to you and they say oh your request is

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too broad you have to narrow it. For example I've been in touch with Elisabeth Bram from

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from our own series office and I've asked her if she already filed a FOIA request to look into the

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internal emails of the CDC for her own name just to see if internally they discuss about all those

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FOIA litigations about our own series and so on. So she asked me to file a FOIA request for that,

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I did it and the CDC get back to me and they said hey there are too many emails please narrow

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your request. I said okay okay okay let's start my search in 2019. Then the CDC got back to me again

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and they said hey there are too many emails please narrow your request again. So I still narrowed my

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request and I'm still waiting for the results is still in process, is still stuck in the in-process

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status. So for the broad requests usually you can file a FOIA request and request

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for all records, all reports, all records related to blah blah blah blah. If you want to

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to file some FOIA requests which are very specific for example for emails the best strategy I found

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I followed Brian Hooker's advice about that. Specify your time frame for example for the time period

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from the 1st January 2020 to the 31st December 2020. For those specific mailboxes please provide

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all emails containing this list of keywords and it worked for the missing VARs ID we've shown

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a few minutes ago. If you target an individual or list of individuals the best you can do is to

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request some specific emails related to specific mailboxes.

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So if you're blind and you don't know what's going on try to query emails and keywords,

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look for keywords into those emails. If you're completely blind I tried something which was

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extremely successful. I've identified some specific individual of specific interest for me as a CDC

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and I said I filed a FOIA request requesting all headers for all emails sent and received by those

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individuals for a specific week. Actually it was in February or March of 2021

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and I was successful. The CDC gave me an excel sheet with more than 700 lines which is huge.

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Some of them were redacted but this is through this excel sheet that I could see that

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related to the studies done on the elderly funded by the NIH. I could see a line where I saw that

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the investigators based at the Brown University were talking with Tom Shimabukuro and I could

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grab the full list of recipients. There is a specific trick. Elizabeth Bram told me that the

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agency can refuse to release some documents if they are considered to be drafted. So it seems that

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when a scientific study is published the underlying data cannot be considered to be drafted anymore

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and in the file I could retrieve about the full list of the project done on the vaccine safety

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data link they gave me the status. So when a project is labeled as completed it's not a draft

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anymore. So to me it's doable to file FOIA requests maybe doing a filing appeal after that

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and going to the litigation. Maybe the agency will lose in the end.

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So usually as I explained before if you want to retrieve some broad information and you

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don't want to be kicked out by the FOIA guys the best strategy I've used is to query

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a document or an information you are sure that it does exist and then in the same FOIA request

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embed another request related to something bigger. This is exactly the strategy I

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followed to retrieve the full list of the project done on the VSD. I've identified

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very specific numbers. I knew that those projects do exist and in the same request

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I have requested everything else in the database and I was successful.

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So I could have some successes. Yes even if 90% of my FOIA requests lead to nowhere sometimes

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I could get some successes. Mostly in Australia I filed many FOIA requests. For one of them I

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could grab all the vaccination reporting cards used in the clinical trials. To me the most

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interesting thing is another FOIA request I filed before I requested all pharmacovigilance reports

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and investigation done by the TGA which is the Australian Drug Agency and among all the documents

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they provided to me they gave me this expert report of their pharmacovigilance investigations.

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It's a huge document it's more than 100 pages long.

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And I'm done. I just discussed the methodology I've used. Feel free to ask any question. I've

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not discussed too much the results because actually the results I could get sometimes

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I could get successful. Most of my FOIA requests have led to nowhere but it's not the most

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important. The most important is how you can file FOIA requests correctly

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in order to avoid the horrible sentences they copy paste every day. We could not locate any

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responsive record to your request. I've read this sentence so many times I'm fed up with that.

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But right now I found some tricks to try to enter the system and I'm quite proud about the

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results I could get. That's it. So I'm over now and if you have any question feel free to ask.

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Surya can you stop share? Sure sure sure. Done. So Albert do you want because Surya has to go to bed

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do you want people to ask Surya questions before you continue? Absolutely absolutely ask Surya

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all the questions. Josh over to you.

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I actually Stephen do you have any questions or should we go to Josh?

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Okay Josh you go. Thank you Surya this is you. Hi sorry Josh just two seconds could I ask Surya

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whether in France they have equivalents to FOIA in you know and getting this information from

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the CDC and in Australia as a matter of interest Surya do you have that possibility in France or

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not? Yes we have an equivalent of FOIA but it sucks. You have an equivalent? Yes yes we have an

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equivalent of FOIA but it's extremely difficult and in most cases they never reply and it takes

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more than one year to retrieve some documents and it's extremely boring and annoying.

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I don't want to file in France because I've tried for many years and to me

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the equivalent of the French FOIA it's a waste of time. How do you find it in the UK

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just as a matter of interest? Oh I filed some FOIA requests to the MHRA the drug agency.

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I had good results at the beginning but I guess now they are completely overloaded

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because I filed some FOIA requests at the end of the last year maybe November or December and

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they never replied. Maybe I should try to file again. Yes so which countries so you've got the

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US and Australia you mentioned are those the only two countries worth doing these FOIA requests?

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Those are the two countries where I got the best results in terms of responsiveness of the agencies.

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Have you tried New Zealand? Yes I tried to file a FOIA request at the University of Auckland I guess

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but they replied but it was a load of bullshit. Yeah I was just wondering whether

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in New Zealand you might find some whistleblowers? Okay. So do you ever get the

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feeling that the people you're communicating with at these agencies are actually whistleblowers

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behind the words which they say to you?

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Do you understand me? Yes but I'm not sure I would be able to provide a response.

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You can't prove it but do you ever get the feeling that the people you're communicating with are

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telling you more than they need to? To be honest you can't be sure sometimes they forget to redact

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some stuff but you can't be sure if this is a mistake or if they just want to drop some

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information. Maybe not to be honest I don't know. Yeah but so it's impossible to know.

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So because of the huge bureaucracy in the NIH and the CDC you think that America is the best

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place to go fishing or Australia? To me the most interesting information is based in the US.

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Right that's interesting isn't it? Yeah because all the civilian systems are out there.

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I'm 100% sure that they see everything related to the

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virus. Everybody knows that those COVID-19 shots are pure crap. There are vaccine injuries

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everywhere and I know that the CDC sees everything. How do I know that? Because in

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their own publication sometimes they keep some safety signals. They don't talk about that.

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But sometimes just by looking at the figures provided in the article for example there is

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a recent publication about the risk of Guillain-Barriss-Andreau and they acknowledge the risk with

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the Johnson & Johnson vaccine and they say that there is no issue with the mRNA vaccines but they

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use a 21 days time window at risk. I know because it's written in their own protocol that they use

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another time window at risk of 42 days and you just have to look at the figures

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published in the article that there is a huge problem with the mRNA vaccines and GBS into the

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42 days time window at risk. So if I see it they do. Yeah so just as a matter of interest

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I don't understand it in America because so Professor Philippe Sanz who's a professor

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of law at University College London, he wrote a book called A Torture Team and it was about the

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lawyers who were responsible for the change in the law in the US regarding torture and he said

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I think in a video I saw, no maybe not somewhere else, but he was astonished how many, so when he

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was writing his book they knew he was writing a book about torture and all the people who were

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most responsible for what had happened were very happy to be interviewed by him and he was

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astonished by their openness. So I don't understand how on the one hand all kinds of

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terrible things are going on in the US but decent people even when they're in the firing line are

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prepared to give evidence to people like Professor Philippe Sanz. He duly wrote a book by the way which

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I highly recommend called Torture Team. Okay I didn't know that. I'm sure that at the CDC to me

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everything or at least some things are explained just by corruption and by the most incredible

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thing to me it's when I've learned that Frank Di Stefano's son he has autism. The guy has cheated

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and manipulated data on all the stuff related to vaccine safety and especially autism and his own

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son has autism. It's just incredible. I didn't know that Brian O'Cut wrote me this information

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into an email and I don't understand why, to be honest I don't understand why they are doing that.

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I guess most if not all people in the call here know about the story of William Thompson and the

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MMR autism paper published in pediatrics in 2004. Now I don't know what they are doing, what they do

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but they do. Yeah very good. Great question Stephen, well done. Now to you Josh.

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So before we let Surya go to bed he doesn't need sleep. You don't need sleep.

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Well done. Thank you. I just hope that my English was not too horrible. Your English is fantastic

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and it's better every time I speak with you. Okay. Surya, sorry I think I have a question that many

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people have which is you have all these amazing FOIA data. Is there a place where people you

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know have you tried to make it publicly available? Is there a place where people can go?

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I have a drop box into which I put some documents but if it's required to be honest the amount of

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hot stuff is quite limited but I can share without any problem. No problem I will

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put it on a drop box public link and I will share to anyone who is interested.

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That's great. I will say that both Google documents and drop box can be,

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the links can be cut. I'll try to find another solution. Yeah all right excellent. Thank you

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for everything you do. Great. Thank you. Thank you Josh. Sasha.

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Yes thank you sir. Actually I had the same question so some way of sharing this information

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I'm working with also a number of law firms and people who have filed FOIAs and we need some

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additional FOIAs filed for example. So maybe some expertise on that is very important because for

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example there is very little that has been made available for Moderna and you know so that's one

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place to dig and the other one is manufacturing information so module three from the licensing

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application, DLA application, standard application. So module three for any of them. I know it's

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probably the most difficult thing to get but that's critically important to take them all down.

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So that's that was kind of my request and yeah I'd like to see what you have so that we avoid

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duplication of efforts. Sure. Very good and Sasha's point is very relevant everybody for all these court

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cases the government takes every single dirty trick it can and so that need to get the

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incontrovertible evidence is so important and the digging that needs to be done and Gail McCray in

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the chat has been talking about that we're working with David Martin all of that work

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just accept there's a lot of work to get past the dirty tricks of government. Glenn.

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Hi. One of my first questions is around the ability to cross reference things

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since you've come up with so many different topics and had them associated with various kinds of

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titles and keywords. I use the term cross reference because I think it's a very important

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different topics and had them associated with various kinds of titles and keywords.

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Are you aware of the of the regulations that gov system that records all of the public comment

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submissions under regulations that gov and that entire database is keyword driven.

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So it's very easy to go into it and it's three different cycles there was the five to eleven

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year olds in October there was the six months to five year olds in February and then that got

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repeated again in June. So when one goes into that system and does things like just does a search on

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death or on a search on heart you get you get thousands of entries and so there may be some

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things that people were angry about and knew about and posted them there but did otherwise

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didn't make them public and because you can submit anonymously there's also you know maybe

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opportunities there to cross match things of high interest. Okay I was not aware about that.

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Yeah so last October had over 130 000, February had over 50 000,

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June had a hundred over 150 000 but they only posted I mean they posted zero before the meeting

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so that's a whole nother cover-up issue. So they ended up posting around 40 000 but that was

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over a week past all of the meetings and decision points but so they are there they just didn't show

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up ahead of time. The other question I had is and to Sasha also as we see more and more of this kind

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of cover-up is is there any thinking process around having a uniform way of reporting it

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so that it looks familiar to people that start pouring through the different materials.

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Sasha recently did a report on Moderna relative to the the six-month to five-year-olds that I

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thought was a very spectacular detail of you know in an excellent way of highlighting things

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as she drilled into to you know she went past all the the noise and then found both items that were

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intentionally absent or intentionally lied about. So the more we the public could start seeing

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cover-up reporting in a consistent way I think that could be powerful.

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Very good Glenn.

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Very good all right Stephen before we let Surya go to bed or Albert do you have any questions of

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Surya or Stephen and then Albert Surya you can go to bed and Albert will continue.

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Yeah yeah I just wonder Surya are you in contact with lawyers in the UK, US, Australia?

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Only Elizabeth from our own series office but I guess they are completely overloaded

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now. Elizabeth Brown. She asked me a lot with my very first fire request.

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So have you got evidence in your opinion which would be useful to lawyers?

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Read the criminal fraud whatever you want to call it.

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For the moment no I don't think so.

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For the moment no I don't think so.

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Concealment of crime?

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Some good evidence on that.

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No I'm not sure to have any single event for something to be used by lawyers.

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What about regulatory failure?

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Yeah currently in Europe I have a strange feeling all the things that happen just like if the law

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didn't count anymore. This is where you know a few years ago when someone would break the law

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for example manufacturers they would be punished in the end and a huge fine would be applied but

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now it's I'm not sure if it's correct but it's a lawless world.

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Surya it's important to lodge the evidence there so that when the time is up.

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Yeah sure sure sure. If I grab anything interesting I will keep it but for the

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moment I don't have any single event for that. Okay well Albert has stuff which is interesting.

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Are you sure that if Albert were to look at your stuff that he wouldn't find something

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interesting for the lawyers? Yeah I forgot one thing. I've asked my friends in Netherlands

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to query all the mailboxes between Miriam Sturkenboom who is one of the greatest experts

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in the world in pharmacoepidemiology and she has contracts with the EMA. Yeah I will tell you the

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anecdote because I forgot about that but it's fun. I filed a FOIA request to the EMA requesting

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all emails between Miriam Sturkenboom these great experts and several individuals at the EMA and

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for the three first individuals a few weeks after my request the EMA got back to me and they said

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oh we have no emails for those individuals. Okay but the last one if you don't say that you have

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no emails it means that the emails do exist and a few months after that the EMA contacted me because

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they received a FOIA request from an academic partner related to me and actually it was a

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FOIA request filed by Miriam Sturkenboom about me about my own request and it seems that she didn't

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like at all that a guy like me would be able to dig into her own mailbox at least about her own

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conversations between a guy named Xavier Kurtz at the EMA and her. So I asked some friends in the

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Netherlands to file a FOIA request directly to our university UMC Utrecht and to retrieve all

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emails between her mailbox based at this university and the EMA and I guess they also

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filed another FOIA request to retrieve all emails between her and all manufacturers

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Pfizer, Moderna and so on. Maybe we will be able to find some odd stuff in it.

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Sorry you mentioned disseminated intravascular coagulation. Absolutely we all

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all those hematological events I guess there are problems everywhere. It's not only pulmonary

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embolism and thrombotron deep venous thrombosis it's all kind of blood clots. So in the disseminated

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intravascular coagulation have you seen any mention of paradoxical hemorrhage? No I don't think so.

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I just can say about that that there is a very recent publication from a team based in

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Scandinavia. They don't talk too much about it in the paper but it has been published in

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the journal named Java Network Open in June and they found many statistically significant issues

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with Pfizer and Moderna especially about blood clots and cardiovascular events.

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Yeah have you got any numbers for these like deep venous thrombosis pulmonary embolism

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or not? You haven't got any numbers for them no? In which way? From the stuff you've got from the

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CDC and where ever. Okay I will have to show you something just give me one minute

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AC I will share my screen if I can do.

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Yes you can so yeah. Yeah and I wanted to ask you so have you this is just a very interesting

435
0:53:10 --> 0:53:17
point that I'm interested in have you heard any mention of cerebral venous sinus thrombosis?

436
0:53:17 --> 0:53:27
Oh yes yes yes there is a study I've investigated done in Scotland and there is a huge issue the

437
0:53:27 --> 0:53:33
team doesn't discuss about that because they acknowledge the problem with the AstraZeneca

438
0:53:33 --> 0:53:39
shot but not the Pfizer shot but if you look into the tables the numerical tables they give

439
0:53:40 --> 0:53:47
they add three cases with the Pfizer vaccine within the 28 days window and

440
0:53:48 --> 0:53:54
there are three cases of what? Cervical venous sinus? Yes yes CVT and there is zero case in the

441
0:53:54 --> 0:54:01
in the control window. Right well. I filed FOIA request about that they gave me 250 pages of

442
0:54:01 --> 0:54:07
documents and when I filed a FOIA request to retrieve all the stuff they were supposed to do

443
0:54:07 --> 0:54:13
in the 28 days window actually they told me that they could not provide anything to me because

444
0:54:13 --> 0:54:18
when they computed the confidence intervals they were too wide so they did not publish about that

445
0:54:18 --> 0:54:23
but if actually their statistical model is wrong if you if you use a model based on a

446
0:54:23 --> 0:54:28
Poisson distribution it's highly statistically significant. So Surya would you be interested in

447
0:54:30 --> 0:54:36
an exchange of emails that I had together with Sukrit Bhakdi and others from the kind of

448
0:54:36 --> 0:54:42
predecessor to this group. Sure. It's called Doctors for Covid Ethics and in the beginning of

449
0:54:42 --> 0:54:52
2021 we wrote three times to the European Medicines Agency. Did you reply? Yes okay not

450
0:54:52 --> 0:54:58
satisfactorily and cerebral venous sinus thrombosis was actually mentioned there

451
0:54:59 --> 0:55:05
and the importance of anybody with headache was a potential victim of cerebral venous sinus

452
0:55:05 --> 0:55:14
thrombosis and it was ignored. Completely. They had the email to me it's full cover up and full lockdown.

453
0:55:17 --> 0:55:24
Sure yeah but the thing is those emails still exist and I think are important evidence because

454
0:55:24 --> 0:55:30
they were warned about what's going on. So that was why I was asking about cerebral venous sinus

455
0:55:30 --> 0:55:35
thrombosis. It sounds like a really rare thing but the point is that any headache

456
0:55:36 --> 0:55:41
that should have been suspected and it should have been ruled out. Yeah it could be a CVT or stroke

457
0:55:42 --> 0:55:50
or even yeah and cerebral venous sinus thrombosis as well. I'm sure there is a problem with

458
0:55:50 --> 0:55:56
demyelination not only gbs but central demyelination. I've heard about transverse

459
0:55:56 --> 0:56:03
mellitus and MS. I hope that everybody can see my slide. This slide has been shown by Tom

460
0:56:03 --> 0:56:11
Shimabukuro in March 2021 and it's as you can see it's preliminary results of the VSD sequential

461
0:56:11 --> 0:56:16
vaccinated concurrent comparator. For those who don't know what it is they use two different

462
0:56:16 --> 0:56:22
methodologies. They compare the number of observed cases in vaccinated and it's compared to hysterical

463
0:56:22 --> 0:56:29
comparator. It's some kind of a common observed to expected and they compare vaccinated individuals

464
0:56:29 --> 0:56:35
to themselves but over two different time windows. On this slide they've used a primary

465
0:56:37 --> 0:56:44
time window set to 21 days so it means that those individuals within the risk interval

466
0:56:45 --> 0:56:51
are compared to the individuals in the control intervals meaning those individuals,

467
0:56:51 --> 0:57:01
vaccinees who are between 22 and 41 days after the vaccination. And you can see that on this

468
0:57:01 --> 0:57:10
line myocarditis pericarditis we have two observed cases versus zero expected. For stroke hemorrhagic

469
0:57:10 --> 0:57:18
just below we have seven observed cases versus zero expected and for pulmonary embolism we have 19

470
0:57:19 --> 0:57:26
observed cases versus zero expected. And for all those three lines they say that it's not statistically

471
0:57:26 --> 0:57:33
significant. It's absolutely impossible to fail to reach statistical significance when you have 19

472
0:57:33 --> 0:57:40
cases versus zero expected. You can use a Poisson distribution you can't put zero as expected so

473
0:57:40 --> 0:57:45
you can put 0.1 and you will see that it's absolutely impossible. So just on this slide

474
0:57:45 --> 0:57:51
the data log point is set at mid-13th February 2021. It has been shown in March

475
0:57:52 --> 0:58:00
so it was clear in their own slides that for at least the three adverse events of specific

476
0:58:00 --> 0:58:07
interest that they saw the problems. The myocarditis could be detected in February

477
0:58:07 --> 0:58:15
two versus zero. Problems of strokes and the biggest safety signal it's a blood clot pulmonary

478
0:58:15 --> 0:58:21
embolism. It has been embedded in venous thromboembolism just on the top. You can see that

479
0:58:21 --> 0:58:29
they have in the VSD 23 observed cases versus 12 expected. If you use a Poisson distribution

480
0:58:29 --> 0:58:35
you can see that it's also highly statistically significant. So they just lie when they say that

481
0:58:36 --> 0:58:40
the statistical signal has not been triggered.

482
0:58:45 --> 0:58:51
What distribution are they using? I don't know I would be curious to know their statistical

483
0:58:51 --> 0:58:57
model. I'm sure it's wrong. Well it must be the same one they use in the JAMA paper they published

484
0:58:57 --> 0:59:08
in September. To me the JAMA paper I could say it's fun because I filed a comment on the JAMA

485
0:59:08 --> 0:59:14
and I've been censored within 15 minutes after posting the comments because they only show the

486
0:59:14 --> 0:59:22
data with a 21 days time window at risk. In their own papers they state that they have

487
0:59:23 --> 0:59:29
other analysis which are not presented. So I just posted a comment stating that it would be great

488
0:59:29 --> 0:59:35
to have the other round of analysis they've done and described in the protocols and I've been rejected.

489
0:59:38 --> 0:59:45
I'm surprised. Peter Doshi I filed my comment on the advice of Peter Doshi

490
0:59:45 --> 0:59:51
and when I told him that I've been immediately censored he told me that I was not the first

491
0:59:51 --> 0:59:58
one to report this kind of behaviour. Okay Stephen are you down because Shima's got his

492
0:59:58 --> 1:00:07
hand up as well. Yes yeah go ahead. So Surya stop your share. Sure oh yes immediately.

493
1:00:10 --> 1:00:18
Thank you Surya. Thank you for listening and one question please. Sure. There is this particular

494
1:00:19 --> 1:00:26
famous document in Japanese about the bio distribution of the Pfizer shot.

495
1:00:27 --> 1:00:33
I was wondering was it obtained as a result of a FOIA request in Japan or in the US?

496
1:00:33 --> 1:00:38
As far as I know of yes I guess it's Peter Doshi who filed the FOIA request in Japan and he got the

497
1:00:38 --> 1:00:44
document. Thank you I thought it was very interesting this FOIA request in Japan.

498
1:00:45 --> 1:00:51
They also have a similar document that somebody got through a FOIA request in Australia.

499
1:00:54 --> 1:00:58
Yes but in Australia they tend to over-redact everything.

500
1:01:02 --> 1:01:08
Okay Stephen so can we let Surya go to bed before we get back to the comments. That's great thank

501
1:01:08 --> 1:01:17
you all. Hang on wait wait Surya Stephen okay. Can you form a new French resistance?

502
1:01:19 --> 1:01:24
Oh I'm afraid about all this FOIA stuff I'm afraid that I'm quite alone.

503
1:01:26 --> 1:01:33
You're afraid what? That I'm quite alone. Quite alone yeah. Yeah all right let him go to bed.

504
1:01:34 --> 1:01:37
No one in France knows about you. No one in France knows about you.

505
1:01:37 --> 1:01:42
I tend to be quite I don't want to be exposed too much.

506
1:01:44 --> 1:01:50
I'm the same yeah Charles the same. All right that's that's the way.

507
1:01:54 --> 1:02:00
Hang out for a little bit Surya until you go to bed to turn this on in your pillow while you're

508
1:02:00 --> 1:02:07
laying on your pillow. But thank you Surya so much. You know and just like you know just like

509
1:02:07 --> 1:02:14
myself when Surya and I talk we you know we need help. We need angel money to keep us afloat.

510
1:02:14 --> 1:02:21
We need to like you know stay working. So I know Surya didn't mention any of that but yeah he

511
1:02:21 --> 1:02:28
I mean what a resource. When he reached out to me and I found him and I realized oh my god

512
1:02:28 --> 1:02:34
and started hearing like his deep deep story there. I hear I'm just staying in my lane with

513
1:02:34 --> 1:02:42
the VAERS stuff and you know I actually put together and submitted some VAERS ID numbers

514
1:02:42 --> 1:02:49
that had been deleted but not just any old VAERS ID numbers. These particular VAERS ID numbers were

515
1:02:50 --> 1:02:57
there's about 10 or 10 to 12 of them and they were either written by a contactable physician

516
1:02:58 --> 1:03:04
which would be highly probable that they are authentic and not a false report because it says

517
1:03:04 --> 1:03:14
in the report you know this is a contactable physician and or the death that was deleted

518
1:03:14 --> 1:03:21
was not there wasn't another another person that fit that description assuming that it was like

519
1:03:21 --> 1:03:29
a duplicate because that those are the two premises that they can delete reports. So assuming that

520
1:03:29 --> 1:03:36
it's a it's a duplicate I go look for the twin duplicate and I couldn't even find like a 31

521
1:03:36 --> 1:03:43
year old female that passed away in May on you know in in January at all of two that you know

522
1:03:43 --> 1:03:50
2022 or something like that. So I gave him some very specific ones and that's what Surya made

523
1:03:50 --> 1:03:57
mention to that we he's got a few in in the works of that but he said you know he doesn't have high

524
1:03:57 --> 1:04:04
hopes that he's going to be successful but point being Surya's in his outfit he's not he's not like

525
1:04:04 --> 1:04:12
a lone ranger and he's not completely unknown because Brian Hooker knows about him and you know

526
1:04:12 --> 1:04:17
Josh knows about him so I mean he gets gets around a little bit you know in the down low but yeah what

527
1:04:17 --> 1:04:23
a resource I think if you guys can reach out to your attorney friends and let them know that this

528
1:04:23 --> 1:04:29
guy exists this group exists in France and and start start connecting the dots and we could all

529
1:04:29 --> 1:04:37
start pushing in the same direction that would be helpful. So Albert so you think that Surya is

530
1:04:37 --> 1:04:42
sitting on evidence which would be useful to lawyers do you? I do. Well he doesn't think that so

531
1:04:43 --> 1:04:49
yeah but I think you're right. I think he has got a lot of evidence you know to the right person I

532
1:04:49 --> 1:04:57
guess to the right person it's valuable you know I think that one that that that has my name on it

533
1:04:57 --> 1:05:04
and there's analysis name on it about the the Alaskan death and you know that bears one is

534
1:05:05 --> 1:05:10
is valuable but anyways yeah thank you thank you Surya thank you to the group.

535
1:05:13 --> 1:05:21
So I'm ready to I'm ready to kick off my my half my portion I'll be fast if I can share my screen

536
1:05:21 --> 1:05:31
I'm just gonna jump right in and get going oh yes I need I'm disabled. Yeah um is Charles there

537
1:05:32 --> 1:05:38
because I don't think I can let's have a look. Uh oh maybe he went to the bathroom.

538
1:05:39 --> 1:05:45
Um let's just see whether I can do it nope I'm still on this yeah we'll have to wait

539
1:05:45 --> 1:05:50
till he comes back Albert. Okay well no worries I was I was just gonna run through a PowerPoint

540
1:05:50 --> 1:05:58
presentation of about uh 10 slides real fast I just wanted to get them on screen just for

541
1:05:58 --> 1:06:06
replay purposes um somebody asked if Tom Renz uh really be helped by getting info on what questions

542
1:06:06 --> 1:06:12
how to ask. Yeah you know I um I've spoken to Tom Renz personally on the phone a couple of times

543
1:06:12 --> 1:06:19
um a while back in the beginning and um I actually told him about the fire the um the bears report

544
1:06:19 --> 1:06:26
that I submitted myself on behalf of my uncle who stroked he's still alive but he stroked on his uh

545
1:06:26 --> 1:06:32
30 days after his second Moderna shot and I videotaped the whole thing like a how-to that's

546
1:06:32 --> 1:06:39
what it originally started you know how to submit uh a uh a bears report and uh so I went through

547
1:06:39 --> 1:06:47
the whole process I didn't realize that you have to send an additional email to info.gov to cdc at

548
1:06:47 --> 1:06:58
info.gov no info at cdc.gov to request your finalized uh record and um you know so I realized oh my

549
1:06:58 --> 1:07:03
gosh there's so many people that file reports that do not do that and then therefore they don't know

550
1:07:04 --> 1:07:11
which one is their report and I think that people on the other side they know which ID numbers are

551
1:07:11 --> 1:07:17
in process that nobody's requested for a finalized ID number that's a part of the secret sauce I

552
1:07:17 --> 1:07:22
think right there for them they know which ones that they can pluck off and never publish at all

553
1:07:23 --> 1:07:28
but anyways the the second part and the more important part of that story is that when I

554
1:07:28 --> 1:07:35
got the report back they they omitted uh words and phrases out of my first-hand account write-up

555
1:07:36 --> 1:07:43
and they also invented symptoms and smqs basically diagnoses that my uncle did not have

556
1:07:43 --> 1:07:48
he wasn't psychosis he didn't have no psychosis anyway didn't have Parkinson's

557
1:07:48 --> 1:07:55
yet that appeared in the report and they invented that stuff and I will testify under oath

558
1:07:55 --> 1:08:04
and attestation in court that that is not true my uncle is was was as fit as a as a horse um

559
1:08:05 --> 1:08:10
but anyways I told Tom Renz about that one and everybody you know everybody gets excited about

560
1:08:10 --> 1:08:17
that but nobody follows up with me but I'm here I'm no I haven't heard of anybody wanting to

561
1:08:17 --> 1:08:25
uh making a case like that I believe that that VAERS themselves filed a false claim a false

562
1:08:25 --> 1:08:29
report on my behalf on the patient's behalf you invented stuff I wonder how much I wonder how

563
1:08:29 --> 1:08:37
many other reports you you concoct but anyways I digress I'm just trying to use up time before

564
1:08:37 --> 1:08:42
yeah is Charles here I wonder uh Charles are you there oh yeah I'm here I'm here I'm trying to

565
1:08:42 --> 1:08:51
trying to get my screen to share my screen good sorry Albert I uh I have to go to you know that

566
1:08:51 --> 1:08:59
well-known place talk to a man about a horse correct okay you can now share your screen

567
1:08:59 --> 1:09:04
Albert okay got it here I go I'm just jumping in jumping in here

568
1:09:09 --> 1:09:14
here we go fast let me put it in presentation mode

569
1:09:15 --> 1:09:21
this presentation mode okay so I'm just going to run down um this is this is hot off the press

570
1:09:21 --> 1:09:27
this is the the um this week's data including this week's drop on Friday from VAERS this is

571
1:09:27 --> 1:09:33
from the wonder system and uh immediately I draw your eye to the very bottom of the screen this

572
1:09:33 --> 1:09:41
is a big problem now approaching almost 900,000 reports that they consider that that is actually

573
1:09:41 --> 1:09:47
classified as none of the above and I know that there's a lot of new faces in the zoom so I'll

574
1:09:47 --> 1:09:55
explain this quickly again but when these reports are filed and and health care workers or the

575
1:09:55 --> 1:10:01
patients themselves they don't check the boxes off they give very detailed information like yeah I

576
1:10:01 --> 1:10:07
had a heart attack and my I have blood clots in my calves and blah blah blah all that stuff but they

577
1:10:07 --> 1:10:12
forget to check off the boxes of what you know did they land in the ER did they get hospitalized

578
1:10:13 --> 1:10:20
is it a permanent disability I mean my uncle who didn't die he I checked off like four boxes for

579
1:10:20 --> 1:10:26
him because he landed in the ER then was admitted to the hospital it was life-threatening and he's

580
1:10:26 --> 1:10:32
not the same so he's got permanent disability so he had like four different different boxes checked

581
1:10:32 --> 1:10:41
off which is the reason why down at the bottom the 111 percent there's way more you know there's 1.5

582
1:10:41 --> 1:10:52
million events reported against the official 1.3 million unique patients because uh basically 11

583
1:10:52 --> 1:11:00
percent of these uh patients these unique ID numbers are checked off more than one and so

584
1:11:00 --> 1:11:08
checked off more than once in these boxes so um this is just a summary I took the bottom

585
1:11:09 --> 1:11:16
um I said show me all the reports but by territory so you know Wyoming is the last on the list and

586
1:11:16 --> 1:11:21
then I put here as you can see our American what we consider our American territories

587
1:11:21 --> 1:11:27
and this is just by events so from here we can't tell how many deaths but uh you see the foreign

588
1:11:27 --> 1:11:34
how much how much constitutes the foreign now over 500,000 records but this part is frustrating

589
1:11:35 --> 1:11:42
um you know 100 115,000 reports that we don't know where in the continental United States

590
1:11:42 --> 1:11:48
um that you know they're from the patients from uh the you know the male female gender thing

591
1:11:49 --> 1:12:00
um you know however many that says uh three three percent and let me go to the next one

592
1:12:00 --> 1:12:07
okay so here's the money shot here this one is pretty incredible so the same report now by age

593
1:12:07 --> 1:12:17
for COVID-19 you can see I draw your eye to the bottom there's 400,000 reports 29 call that 30

594
1:12:17 --> 1:12:26
we'll speak in round numbers 30 400,000 records that have an unknown age um I did some quick

595
1:12:26 --> 1:12:35
calculations and just the kids 17 and under that's 52,000 reports and this is a snapshot from my

596
1:12:35 --> 1:12:43
dashboard where you could see that I've I basically for those that don't know many times a lot of times

597
1:12:43 --> 1:12:50
uh the age is is clearly documented in the in the write-up of the of the actual report

598
1:12:51 --> 1:12:58
but the but the age field is left empty is blank um they don't you know bears doesn't help us out

599
1:12:58 --> 1:13:07
and and and populate you know make a supervisory decision and populate the age field with with age

600
1:13:07 --> 1:13:13
because it's clearly written in the document no they they let it go um leaving us all you know

601
1:13:13 --> 1:13:20
needing uh analytics experts to figure out you know something like this to say well I have found

602
1:13:20 --> 1:13:28
over 200 and I don't know what that what the difference is uh from 122,000 to 400,000 I mean

603
1:13:29 --> 1:13:36
over 250,000 or so records where I've actually been able to see the age and then populate the

604
1:13:36 --> 1:13:45
age field um let me move this thing out of the way um so what I'm saying here and that I have

605
1:13:45 --> 1:13:54
579 kids that the actual report doesn't tell me the specific age but they tell me that this is a

606
1:13:54 --> 1:14:01
neonate this is an infant this is a fetus this is a child this is an adolescent this is a teenager

607
1:14:01 --> 1:14:08
something like that so so I can't put the actual number age in there but I just type it in this is

608
1:14:08 --> 1:14:19
a child this is a baby so 579 so so for kids 17 and under you know my my um quick math plus the

609
1:14:19 --> 1:14:32
579 I got I got 64,500 kids to to their 52,000 see so I got I got almost 12,000 additional kids

610
1:14:32 --> 1:14:40
that I in effect pulled out of this unknown this unknown age bucket and you know that that makes a

611
1:14:40 --> 1:14:49
big difference uh when you're when you're doing analysis based on age stratified uh data um

612
1:14:51 --> 1:15:00
so also with that there is a very big problem of under I call it undercoding Greg part of

613
1:15:00 --> 1:15:07
cooper might call it under counting but we know that there are very serious adverse events in that

614
1:15:07 --> 1:15:15
now approaching 900 reports of none of the above you can see that I have so in my dashboard I have

615
1:15:15 --> 1:15:22
basically captured and reclassified in my dashboard I've upcoded them so I've upcoded

616
1:15:22 --> 1:15:29
chest pains um as an example here my color code says I've upcoded them to emergency so I've found

617
1:15:29 --> 1:15:35
them in none of the above uh or office visit and I've classified all the chest pains or this many

618
1:15:36 --> 1:15:44
chest pains to to um emergency there's there's death in none of the above I mean just for starters

619
1:15:44 --> 1:15:53
there's cardiac arrests um thrombo cytopenia is the myocarditis in none of the above there's a ton

620
1:15:53 --> 1:15:59
of kids with chest pain and they classify it as none of the above not serious so there's there's

621
1:16:00 --> 1:16:08
my starter kit 56 000 and I think I could squeeze out another another 40 000 and make it 100 000

622
1:16:08 --> 1:16:14
that's that's part of my part of my work there and um now on to the right side manufacturer

623
1:16:14 --> 1:16:25
and lot mismatches this this goes to the um to you know to the toxic lot um analysis plenty of

624
1:16:26 --> 1:16:30
reports that tell us the manufacturer is moderna but then they give us a Pfizer lot

625
1:16:31 --> 1:16:37
and then I have it by you know I color I have it color coded that I could say well you know I have

626
1:16:37 --> 1:16:42
so many reports that I've actually changed and some of these were permanent disabilities you know

627
1:16:42 --> 1:16:48
of course a lot of them were office visit none of the above but they're serious we got to re

628
1:16:48 --> 1:16:55
read the code re-upcode some of these but there's my list right there and so I have right now I

629
1:16:55 --> 1:17:00
think I have a little more than this I probably have 6 000 now but so I have 6 000 reports that

630
1:17:00 --> 1:17:07
I can each and every one of them I I can't lose it in my dashboard I can look at every single one

631
1:17:07 --> 1:17:14
and say I change this to that I change that to that and that's what my that's what my that's the

632
1:17:14 --> 1:17:23
the power of my of my dashboard now I hope I invited Jessica Rose um I had the the distinct

633
1:17:23 --> 1:17:30
honor of of um talking to her over this zoom meeting at the blackout this was the pan data stuff

634
1:17:30 --> 1:17:36
earlier this week um excellent report and I you know I love to take her analysis and then try to

635
1:17:36 --> 1:17:45
duplicate it and find the same thing and and I asked her a question and I hope she doesn't mind

636
1:17:45 --> 1:17:51
but I asked her I said what do you do to cleanse your data for the age stratified stuff you know

637
1:17:51 --> 1:17:58
do you is there some kind of uh you know in between or how does it work or do how many do

638
1:17:58 --> 1:18:05
you have to exclude from this from this because you know we just saw that what was it almost 30

639
1:18:05 --> 1:18:13
30 percent of the entire database is unknown age what do you do well she she told me that she

640
1:18:13 --> 1:18:19
doesn't she doesn't cleanse at all she has to she has to omit those omit a third of the database

641
1:18:20 --> 1:18:25
and that's where I want to be a supplement to to her and to people like her all around the world

642
1:18:25 --> 1:18:33
who's doing this who can use the dashboard but more importantly for people like Jessica um

643
1:18:33 --> 1:18:39
download the master file and get that jump start so we don't have to duplicate our efforts

644
1:18:41 --> 1:18:51
so wow 30 percent of unknown ages um this is just a snapshot a cover of my um of my dashboard and

645
1:18:51 --> 1:19:00
right here um I'm just showing this is my entire 32 year dashboard where I isolated just unknown

646
1:19:00 --> 1:19:07
vax types this is another big issue you can see right here that um on based on the historical data

647
1:19:07 --> 1:19:16
we had no more than um a few hundred claims a year historically and then all of a sudden

648
1:19:17 --> 1:19:25
when the when the vax when the jab rollout started in 2020 most of this uh histogram bar here for 2020

649
1:19:26 --> 1:19:34
by vac state is the last half of december so that most of that is um you know is is probably

650
1:19:34 --> 1:19:41
covet 19 even though you know you may not I may not be able to prove all of that but I've definitely

651
1:19:41 --> 1:19:48
peeled that peeled out a couple of thousand reports already that where it says in the write-up or if

652
1:19:48 --> 1:19:55
not the write-up it gives like a moderna lot number or a pfizer lot number so you can see

653
1:19:55 --> 1:20:04
unknown vax type we got to we got to focus our laser beam light on the unknown vax type and get

654
1:20:04 --> 1:20:11
to these ones because you know if the clue doesn't tell us it chances are it's probably um a covet a

655
1:20:11 --> 1:20:16
covet jab based on this historical data but uh you know I just I just point that out

656
1:20:17 --> 1:20:25
um mass deletions is a big thing they've been mass deleting uh claims um everybody it seems

657
1:20:25 --> 1:20:31
like most people know now that they're doing that uh they've got a total of over 22,000 total

658
1:20:31 --> 1:20:39
but just in the last 16 weeks they've deleted 15,000 reports um you know I've done an analysis

659
1:20:39 --> 1:20:45
saying the not so early warning system and here is the uh the blurb right here that you find every

660
1:20:45 --> 1:20:51
time you go to download uh every week to download their data you'll see that it's that this blurb

661
1:20:51 --> 1:20:59
right here de-identified bears data are available four to six weeks after reports is received so that

662
1:20:59 --> 1:21:06
means they have up to up to four to six weeks because they definitely receive reports and then

663
1:21:06 --> 1:21:12
turn around and publish them like real quick within eight days they don't they don't hold

664
1:21:12 --> 1:21:18
on to everything for four to six weeks and then and then um and then publish it but then again

665
1:21:18 --> 1:21:26
there's a ton of reports that they take well over six weeks matter of fact this last drop there was

666
1:21:26 --> 1:21:33
over 80 there was like about 80 reports that were basically held in their possession of the

667
1:21:33 --> 1:21:39
emergencies I'm sorry it was 68 emergencies that's that's what it was 68 emergency reports

668
1:21:39 --> 1:21:47
that were brought up this Friday that were held in their possession over six months 198 days before

669
1:21:47 --> 1:21:53
they actually published it and we the people actually saw it that my friends is called

670
1:21:53 --> 1:22:00
throttling they that's what they do um apart from apart from mass deletions um

671
1:22:03 --> 1:22:11
here's just a snapshot from my Microsoft Excel uh reports deletion deletion reports so I keep track

672
1:22:11 --> 1:22:16
on the Excel spreadsheet as well as my Tableau dashboard and I try to duplicate everything I

673
1:22:16 --> 1:22:22
can do in Excel I try to duplicate it in Tableau but you can see right here um you know the

674
1:22:22 --> 1:22:28
frequency here they they've came down a little bit but I kind of feel like the frog in the pot

675
1:22:28 --> 1:22:33
of water where I'm saying now oh they've only deleted 300 reports this week which was like

676
1:22:33 --> 1:22:39
used to be kind of their average but even that is too much you know 300 reports a week that's

677
1:22:39 --> 1:22:47
ridiculous when they have four to six weeks to to rigorously authenticate a claim you know

678
1:22:47 --> 1:22:53
make the sausage and determine is this a false report or is this a duplicate okay it it looks

679
1:22:53 --> 1:23:00
it looks authentic let's publish it therefore they don't have to delete uh reports and if they do at

680
1:23:00 --> 1:23:08
least at least we the people know that that report once existed and now they deleted it and um you

681
1:23:08 --> 1:23:14
know we should be able to find the twin duplicate but no I you know I've said this a bunch of times

682
1:23:14 --> 1:23:21
before I could find maybe only 10 percent I've spot checked about 2 000 reports and I could only

683
1:23:21 --> 1:23:25
find maybe 10 percent of those 2 000 with the twin duplicate

684
1:23:27 --> 1:23:33
so jumping over to foreign there's so much foreign data there's that 500 000

685
1:23:35 --> 1:23:42
reports and there is a two-digit country code embedded in one of those columns of data it's

686
1:23:42 --> 1:23:48
called the split type data but anyways it you know with that I'm off to the races I can determine

687
1:23:48 --> 1:23:53
at least what country they came from so you know the international community that's watching this

688
1:23:53 --> 1:24:01
video um there's plenty of data in there and you can you know use the dashboard to walk it down

689
1:24:01 --> 1:24:08
and see you know what what's going on by country and you know you can click on this worldometer

690
1:24:09 --> 1:24:16
picture right here and it'll launch you launch you to the worldometer so you can see um you know

691
1:24:17 --> 1:24:23
this action right here where you can get the the population of the countries and here's a little

692
1:24:23 --> 1:24:29
blurb that says the foreign countries like why do we get foreign data I've been you know I've been

693
1:24:29 --> 1:24:34
trying to figure this out for for months a year now and I've had this I mean

694
1:24:35 --> 1:24:42
uh US manufacturers that were reported to their foreign subsidiaries so you know I think all the

695
1:24:42 --> 1:24:49
governments are the subsidiary of big pharma that's how I read that uh but it says under FDA

696
1:24:49 --> 1:24:56
regulations if a manufacturer is notified of a foreign case report that describes an event that

697
1:24:56 --> 1:25:02
is both so I get I take it that it's both serious and unexpected it has to be both of those things

698
1:25:03 --> 1:25:09
unexpected in other words does not appear in the product labeling like uh sure okay well you know

699
1:25:09 --> 1:25:14
begs the question why are you giving us all this low level stuff then all this none of the above

700
1:25:14 --> 1:25:20
in office visits if it's supposed to be serious and unexpected that's another question for later

701
1:25:20 --> 1:25:28
but um that would that would explain why the foreign lots look a lot more kind of toxic

702
1:25:28 --> 1:25:35
than the domestic lots and there are there are lots that go both domestically and international

703
1:25:36 --> 1:25:42
um you know they kind of cross over like that unexplainable but even with that said

704
1:25:42 --> 1:25:47
and uh you know I always think of Simon when I see this one because he was the one who told me like

705
1:25:47 --> 1:25:55
Belgian look at Belgian and their permanent disabilities the size of Belgian uh you know

706
1:25:55 --> 1:26:03
11 million people and they're giving us in the system uh 6400 permanent disabilities you know

707
1:26:03 --> 1:26:10
against ours the USA we got 13 000 permanent disabilities but look how much bigger we are

708
1:26:10 --> 1:26:16
than Belgium is so you know in this blurb here I'm thinking hey you know what I think the foreign

709
1:26:16 --> 1:26:23
data is probably more truthful than our American data we got too many barriers over here um but

710
1:26:23 --> 1:26:29
anyways that's what this that's what this one was about um I'm gonna eventually do an analysis and

711
1:26:29 --> 1:26:36
use the matrix the percentages of of these this foreign data and apply it to the domestic data

712
1:26:36 --> 1:26:43
and I bet you that would be more realistic of what's going on as far as uh the the reports

713
1:26:43 --> 1:26:51
I always throw this one out this this slide out follow-up reports do not appear people

714
1:26:51 --> 1:27:01
no follow-up reports and that wasn't always the case um they did they did um append append the

715
1:27:01 --> 1:27:10
the the VAERS record with follow-up data um in 2000 all the way to the end of 2010 and it says

716
1:27:10 --> 1:27:16
it in the CDC's blurb itself but here is the report here is the blurb the official blurb that

717
1:27:16 --> 1:27:21
says that follow-up reports do not appear and they say it five times five different ways they

718
1:27:21 --> 1:27:28
don't they don't they don't delete reports and put a report back on there although they do it but not

719
1:27:28 --> 1:27:33
for not because the patient died so now they're going to delete the original one and repost

720
1:27:34 --> 1:27:40
repost it now as a death uh that I haven't really seen that at all um but you know they continue to

721
1:27:40 --> 1:27:47
receive uh continuous updates including revisions new reports and proceed for preceding time

722
1:27:47 --> 1:27:53
periods yeah but they don't make it public follow-up reports do not appear so you know

723
1:27:53 --> 1:27:59
as an example the 12 000 this this number is a little higher now but the 12 000 underage kids

724
1:27:59 --> 1:28:04
um that are in there is none of the above they're just they're just recorded as an

725
1:28:04 --> 1:28:12
administration error because they were underage my god underage if it you know they develop

726
1:28:12 --> 1:28:18
myocarditis down the road we're not going to know about it I mean that's that's one way man

727
1:28:18 --> 1:28:25
that's one way to stack the deck in their favor um so here's the here's the series here's the

728
1:28:25 --> 1:28:32
latest thing this on Thursday this came out um you know the FOIA and everybody's uh you know

729
1:28:32 --> 1:28:39
including myself Craig Particooper Sasha's in there of course we are um looking at the data

730
1:28:39 --> 1:28:45
chopping up the data that that they just gave us and um trying you know we're trying to see how

731
1:28:45 --> 1:28:53
toxic the lots are again um at least they gave us the sizes of the lot and I was telling somebody

732
1:28:53 --> 1:28:58
and I want to verify this with Sasha and Craig Particooper am I seeing this right or am I

733
1:28:58 --> 1:29:03
doing the formulas right because it's looking like you know we we we you know I've heard it say that

734
1:29:03 --> 1:29:10
doses and this is doses of shipped not in not administered into arms but just shipped I guess

735
1:29:10 --> 1:29:18
to refrigerators um or at least manufactured that um you know the the lot sizes were anything from

736
1:29:18 --> 1:29:27
like 700 000 to a million to a million and a half doses per lot um these numbers are are much higher

737
1:29:27 --> 1:29:36
so I don't know if my math is right but you know the total I got 425 million doses which

738
1:29:37 --> 1:29:42
I explained to a close friend you know how much how much does this constitute did how many how

739
1:29:42 --> 1:29:50
many lots did they not give us and um you know over here my my uh my heat map each column this

740
1:29:50 --> 1:29:57
is kind of looking like how bad is your batch right um but each column has its own color condition

741
1:29:57 --> 1:30:07
a heat map so you can see you know just staring at this that something like a two a third of the

742
1:30:07 --> 1:30:17
way down this this um lot en6202 uh the relative toxicity now I got my own formula for that it's

743
1:30:17 --> 1:30:25
pretty pretty awesome I think I'm pretty good with that relative toxicity but this one relatively

744
1:30:25 --> 1:30:33
speaking is is toxic is pretty toxic but it only has 2,700 total events but against that it has

745
1:30:33 --> 1:30:39
106 deaths it's proportionate amount of permanent disability so that's how the the whole color you

746
1:30:39 --> 1:30:45
got to stare at it for a while for the colors to kind of make sense to you but um that's what

747
1:30:45 --> 1:30:50
that's what that was about that's what I was doing since Thursday um

748
1:30:51 --> 1:30:59
and this is a this is a shot from my from my dashboard um and it's just just an example I

749
1:30:59 --> 1:31:05
took Moderna and I took just Moderna with expiration dates by uh for the month of March

750
1:31:06 --> 1:31:12
and I can start to see it like like this and you can scooch from left to right so you can really

751
1:31:12 --> 1:31:19
get creative and view and pivot on this data a thousand different ways that's why I like

752
1:31:19 --> 1:31:26
dashboards I you know one picture just isn't enough for me I gotta keep I gotta make it turn

753
1:31:26 --> 1:31:34
it into like a movie like moving pictures um but that's just a sample um I was hoping uh

754
1:31:34 --> 1:31:40
Surya was still awake but this was the this was the this is the smoking gun right here this was

755
1:31:40 --> 1:31:48
the two-year-old Alaskan kid death that um you know Highwire and Aaron Ciri uh reported on

756
1:31:49 --> 1:31:56
and although Aaron Ciri is a Highwire's attorney it was my work I caught that lightning in a bottle

757
1:31:56 --> 1:32:06
that day and then of course uh my my yoda my my master yoda uh Wayne from various analysis dot

758
1:32:06 --> 1:32:11
info you know help help me in the sense that like he vetted it he goes yep he asked me questions

759
1:32:11 --> 1:32:17
when when the other ones the other people do you know shoot me off these other some of these other

760
1:32:17 --> 1:32:22
people like oh I don't know I didn't get that I didn't get that well you weren't the you weren't

761
1:32:22 --> 1:32:27
the first one I did download it in the first few minutes you must have downloaded like five

762
1:32:27 --> 1:32:31
minutes after or an hour after it dropped I downloaded it in the first minute that's how

763
1:32:31 --> 1:32:40
I got lucky but anyways where Aaron Ciri got no records found got a response back from from

764
1:32:40 --> 1:32:46
um CDC or HHS technically it was HHS that said no records found

765
1:32:48 --> 1:32:55
Mr. Suria in his infinite wisdom and the way he filed his this report here is the smoking gun

766
1:32:55 --> 1:33:03
where John Sue sends an email out to all his cronies heavily redacted and there's more pages

767
1:33:03 --> 1:33:10
there this was a 16 page uh report all of it's basically redacted but here is the number here is

768
1:33:10 --> 1:33:16
the ID number where they you know they were saying I guess it's a different uh the next page

769
1:33:16 --> 1:33:22
that says ah we think it's fake but the way John to me the way John Sue asked his cronies like hey

770
1:33:22 --> 1:33:28
I think this is fake can you look into it just by saying it that way that is a tip off to his

771
1:33:28 --> 1:33:37
cronies how he wants his cronies to respond back to him that's what I get but anyways the point is

772
1:33:37 --> 1:33:45
is that ID number does not exist 1887456 it it never it was never officially published to be

773
1:33:46 --> 1:33:53
deleted even it never made it it was alive it was visible for for three minutes and then disappeared

774
1:33:53 --> 1:33:58
hoping that nobody would know the difference and then they tell Aaron Ciri no records on it

775
1:33:58 --> 1:34:00
this is the smoking gun people right here

776
1:34:00 --> 1:34:10
here but anyways um you know just to show you that this isn't my first rodeo and I bring up

777
1:34:10 --> 1:34:17
uh brook jackson and uh uh robert barnes barnes law and uh warner mendenhall if he's involved

778
1:34:17 --> 1:34:24
with the brook jackson case but my old boss uh chris rydell here in cambell california who

779
1:34:24 --> 1:34:31
owned hunter laboratories where I worked for 10 years this is my baby daughter she's not such a

780
1:34:31 --> 1:34:39
baby anymore she's 16 now but anyways I ran his billing operation at hunter labs for 10 years

781
1:34:40 --> 1:34:47
and he just came out with this book he won he's the biggest I bring him up because he's the biggest

782
1:34:47 --> 1:34:54
whistleblower in America single person whistleblower and when if and when uh brook

783
1:34:54 --> 1:34:59
jackson wins god bless her heart I hope she wins it makes billions of dollars she's going to

784
1:34:59 --> 1:35:06
dethrone my my old boss here chris rydell you can see you can see this and he puts down here in his

785
1:35:06 --> 1:35:13
book that he just released on in um october november of 2021 one man's bare-knuckle fight to

786
1:35:13 --> 1:35:19
tech taxpayers for medical fraud got camilla harris's name on there but I'll forgive him for

787
1:35:19 --> 1:35:28
that but he one man's bare-knuckle fight I like to think I like to think I was one of those knuckles

788
1:35:28 --> 1:35:35
in that bare-knuckle fight just to let you guys know and uh thank you guys that's a quick one I

789
1:35:35 --> 1:35:41
wanted to jump in I just wanted to leave this here I wanted to jump in now if I could to um

790
1:35:42 --> 1:35:51
just two minutes to show you the uh the dashboard my own dashboard just just poke around and move

791
1:35:51 --> 1:35:59
it for a few minutes and uh let me just refresh that for a second just so you can actually see

792
1:35:59 --> 1:36:05
it move I didn't even show you this the symptom search on this thing I'll give it a second here

793
1:36:05 --> 1:36:11
um you know by manufacturer so I didn't even talk about uh the monkey pox and the nova vax that

794
1:36:11 --> 1:36:19
has it has appeared but then it has the color schema you can see um you know how that works

795
1:36:19 --> 1:36:24
kind of the darker the color is basically the more severe the event and then the foreign

796
1:36:24 --> 1:36:31
the color scheme is the same as the color scheme so you can see the color scheme is the same as the

797
1:36:31 --> 1:36:38
more severe the event and then the foreign so this is all of our foreign and then I got it um

798
1:36:38 --> 1:36:46
dissected by the blue states and red states and our unknown domestic continental united states and

799
1:36:46 --> 1:36:54
the territories um the male and female pie right here a lot more females than males but then in the

800
1:36:54 --> 1:37:03
deaths it's more males than females um the lots that you can uh you know so this is true so many

801
1:37:03 --> 1:37:09
lot numbers are just blank don't have a lot number at all the other the the next biggest are are ones

802
1:37:09 --> 1:37:16
that just unknown it says unavailable uh request from the pharmacy a truncated lot you just can't

803
1:37:16 --> 1:37:22
make sense of it and then so that's why it makes the rest of it so so flat so black you know you

804
1:37:22 --> 1:37:30
can't see any of the numbers there my relative a lot toxicity uh data that I won't bother to

805
1:37:30 --> 1:37:36
explain right now in the interest of time but you know any one of these things that you click on

806
1:37:36 --> 1:37:42
it'll move all these all these graphs all at one time by age year look at that in specific

807
1:37:43 --> 1:37:51
age if you want to you know look at it by specific age just 33 year olds in texas or something female

808
1:37:51 --> 1:37:56
for some strange reason you want to dissect it but that's that's how this is now this is by

809
1:37:56 --> 1:38:04
territory same exact graph but one is by a with uh stacked by event level and then the other one

810
1:38:04 --> 1:38:09
is just color of red state blue state and you can see the foreign that's why the foreign jumps out

811
1:38:09 --> 1:38:17
because the the domestic stuff is broken into red states and blue states and if you could see like

812
1:38:17 --> 1:38:26
puerto rico might pop up here as a green that's the our territories um but i'm almost done two

813
1:38:26 --> 1:38:31
more minutes i just wanted to show you this uh symptom search right here and i just made some

814
1:38:31 --> 1:38:37
videos about it um but i applied the symptom search in here and what this is telling me is that

815
1:38:37 --> 1:38:47
you know 1.36 million records generates over five million total symptoms and then um you know so

816
1:38:47 --> 1:38:56
what you can do here is you can do something like this actually search for uh like myocarditis as an

817
1:38:56 --> 1:39:03
example since uh craig did a did an excellent uh review on this um myocarditis let me get it

818
1:39:03 --> 1:39:09
myocarditis acute myocardial infarction let that one come in for a second it'll start to

819
1:39:10 --> 1:39:15
there it pops up and not to gild the lily here but let me just go down and pick out because i

820
1:39:15 --> 1:39:21
didn't realize there was so there was a few flavors of myocarditis so there's the regular

821
1:39:21 --> 1:39:30
there's bacterial infectious uh good enough just to just to drive home the point that now

822
1:39:31 --> 1:39:37
you can use this and i can see wait a minute you're telling me that in myocarditis on mine i have

823
1:39:37 --> 1:39:44
3300 that are office that are myocarditis that are office visits

824
1:39:45 --> 1:39:52
and and then an additional 86 that's none of the above is that true is that true let me show you

825
1:39:52 --> 1:39:57
how i've connected it to um i'm going to take off all the heavy all the heavy stuff

826
1:39:59 --> 1:40:06
the heavy events and just look at the low level the low hanging fruit none of the above office visits

827
1:40:07 --> 1:40:13
and and none of the above oh and take off the birth defects see i see a little purple in there

828
1:40:13 --> 1:40:18
so i'm going to take off birth defect and now i'm going to jump over to meta alerts how i

829
1:40:18 --> 1:40:25
connected it to meta alerts and has 424 records is that could that be true let's vet let's authenticate

830
1:40:26 --> 1:40:36
because i am sincere i am without wax i am genuine and so is my dashboard so here you go ending in

831
1:40:36 --> 1:40:45
630 uh this one flies on the flytrap unknown location of course myocarditis there's the

832
1:40:45 --> 1:40:53
myocarditis and you can see the report nothing is checked no life threatening no office visit no er

833
1:40:54 --> 1:41:00
you know so this one to the casual observer to the rest of the world this is none of the above

834
1:41:00 --> 1:41:07
not serious hence safe and effective look how look how safe and effective this uh this experiment

835
1:41:07 --> 1:41:15
is you know almost 900 000 reports are none of the above uh this is the age here's a night here's a

836
1:41:15 --> 1:41:20
couple of 19 year olds right here right in this little section right here let's take a look at them

837
1:41:21 --> 1:41:28
foreign no age oh look at look at this one has a no age how do i know that it's actually 19 years old

838
1:41:28 --> 1:41:34
that it actually has myocarditis that they actually came from germany that's the two digit

839
1:41:34 --> 1:41:39
country code right there uh and that they're 19 years old how do i know that well because

840
1:41:39 --> 1:41:47
it's clearly written right here 19 years old now myocarditis this to the casual observer to the

841
1:41:47 --> 1:41:52
rest of the world that's none of the above not serious safe and effective that's the problem

842
1:41:52 --> 1:41:56
with this that's the problem with this database it just needs to be cleaned up it just needs to be

843
1:41:56 --> 1:42:02
given a little bit of love that the people entrusted to maintain it do not give it any love

844
1:42:03 --> 1:42:09
and then when we go do our analysis for toxic lots then we shoot ourselves in the foot so to

845
1:42:09 --> 1:42:16
speak and we we shave off we shave off the low level none of the above or we shave off because

846
1:42:16 --> 1:42:22
we don't populate the age so there is so much stuff here where that's where i want to be a

847
1:42:22 --> 1:42:30
supplement to to not only the analytical people um so that they can you know use the dashboard

848
1:42:30 --> 1:42:36
themselves to know where to go look that that's how i use my dashboard to go find which ones with

849
1:42:36 --> 1:42:44
400 myocarditis i need to up up code to uh depend depending on the report and that's you know segwaying

850
1:42:44 --> 1:42:52
into working with uh my buddy my new friend uh hawk gary hawk who i think is in the audience

851
1:42:52 --> 1:43:00
so appropriate that he's the hawk and i'm the eagle but we're doing um automated automated data

852
1:43:00 --> 1:43:07
cleansing using python language python probability tools and so that's some heavy that's some cool

853
1:43:07 --> 1:43:13
stuff right there that we're going to basically what i've been doing manually by hand faithfully

854
1:43:15 --> 1:43:21
giving my you know giving giving my life up for this because nobody's doing it quite quite like

855
1:43:21 --> 1:43:28
i'm doing it and i just want to help i just want to be a supplement um look at this acute myocardial

856
1:43:28 --> 1:43:35
infarction jeez i was just messing around uh how old is this person we don't know eagle says he's 62

857
1:43:36 --> 1:43:42
um and is none of the above look at that none of the above not serious and who submitted that report

858
1:43:43 --> 1:43:52
what's that who submitted the report who submitted the report well it could have been the patient or

859
1:43:52 --> 1:44:00
a or a hospital i seem to think i seem to feel based on thousands of these reports that i read

860
1:44:00 --> 1:44:07
when it's a myocardial infarction especially that they landed in the hospital and possibly it was

861
1:44:07 --> 1:44:13
the hospital who who did this because a patient so that category is stripped away from the report

862
1:44:14 --> 1:44:19
what's that the category of submitter is stripped away from the stored report that's never it's

863
1:44:19 --> 1:44:25
never really in in the report sometimes it may say in here in the write-up that's that's the

864
1:44:25 --> 1:44:30
only place it's going to say there's not a dedicated field that says who submitted um

865
1:44:31 --> 1:44:35
um you know bring up the two-year-old for the last good two-year-old hang on

866
1:44:35 --> 1:44:40
albert albert this two minutes has become 12 minutes now okay okay well let me let me wrap

867
1:44:40 --> 1:44:47
it up let me wrap it up that's that was sorry about that that was uh just how the um me unshare my

868
1:44:47 --> 1:44:56
screen that was basically how that oh am i off no hold on

869
1:44:59 --> 1:45:01
oh stop screen

870
1:45:04 --> 1:45:12
there we go sorry i you know that um you know basically the bottom line is i've had a lot of

871
1:45:12 --> 1:45:18
help to get me here um i've i've sharpened iron with a lot of good people i've tried to sharpen

872
1:45:18 --> 1:45:24
iron with a lot of more people i want to be a supplement um i need help i need i you know i

873
1:45:24 --> 1:45:31
need i need um i need financial help so i'm gonna start i'm gonna start this um website one way or

874
1:45:31 --> 1:45:37
another but i need a uh angel consulting i i don't want i want to be i don't want to be censored i

875
1:45:37 --> 1:45:43
don't want amazon to shut me down uh you know or some web hosting to shut me down because they

876
1:45:43 --> 1:45:48
don't they don't like what i'm what i'm doing so i need kind of like technical help and web

877
1:45:48 --> 1:45:55
design or who to go with and that type of stuff but but you can see you can see there that that

878
1:45:55 --> 1:46:03
um the world without knowing without saying it explicitly the world is hungry for an intuitive

879
1:46:04 --> 1:46:11
interactive dashboard which is which is what i got going and this is the stuff i've been doing

880
1:46:11 --> 1:46:17
for ceos um in my journeys they keep me in the basement making them making them executive level

881
1:46:17 --> 1:46:26
dashboards like what you just saw and um you know i uh it's going to happen one way or another

882
1:46:26 --> 1:46:32
all right you've made it clear albert what what do you need so thank you um glenn glenn your question

883
1:46:32 --> 1:46:37
will come but first before we get to that question rima has an interesting strategy

884
1:46:38 --> 1:46:44
very relevant to what we're talking about in this group so rima wants a couple of minutes to share

885
1:46:44 --> 1:46:48
that before she has to leave and then put your hand up for questions glenn put your hand up for the

886
1:46:48 --> 1:46:56
first question to albert and rima would you like me to share that document or you want me to share

887
1:46:56 --> 1:47:05
yes i have i have shared the document it's called strategic framework um i appreciate even a couple

888
1:47:05 --> 1:47:12
of minutes to share this uh there's a lot to it but basically my strategic analysis of the situation

889
1:47:12 --> 1:47:23
that we're facing globally is that the uh the war machine that is coming towards us and destroying

890
1:47:23 --> 1:47:33
or intent upon destroying national sovereignty and personal sovereignty uh is the who in its uh

891
1:47:34 --> 1:47:39
in its connection with the united nations and we've talked a lot about that and so on so

892
1:47:40 --> 1:47:47
we can't negotiate with the terrorists this is a terrorist criminal organization uh collaboration

893
1:47:47 --> 1:47:55
with many other pieces to it um so my thought was okay let's kill it and uh in order to do that

894
1:47:56 --> 1:48:04
we need to remove the pseudo legitimacy which it has granted to itself or which the uh the nation

895
1:48:04 --> 1:48:13
states have granted to it by entering into treaties and agreements treaties and agreements can be

896
1:48:13 --> 1:48:19
abrogated and they can be withdrawn from but the only way that that will happen given how

897
1:48:19 --> 1:48:26
incredibly well funded and organized and so on this particular terrorist organization is

898
1:48:26 --> 1:48:34
the only way that will happen in my estimate is if there is a global popular uprising uh based around

899
1:48:34 --> 1:48:42
the words don't you dare um and so i have created i've been meeting with a group of people uh in

900
1:48:42 --> 1:48:50
asia representing uh activists and professionals in eight countries i'm talking to people in the

901
1:48:50 --> 1:49:02
eu in the u.s canada um and the the plan is for local regional and um uh organizational diversity

902
1:49:02 --> 1:49:07
you want to do it this way do it this way you want to do it that way do it that way all focused on

903
1:49:07 --> 1:49:18
the same strategic objective which is kill who and then hashtag kill who space before who kills

904
1:49:18 --> 1:49:27
you it's not polite it's not um uh courteous to say that sort of thing and that's precisely

905
1:49:27 --> 1:49:34
the point because polite and courteous is insufficient to deal with the threat and

906
1:49:34 --> 1:49:42
we all know how massive and deadly the threat is so i'm going to put my email in the chat

907
1:49:42 --> 1:49:51
and i'm going to ask you to reach out to me and uh join the discussion uh and see if this is

908
1:49:51 --> 1:49:59
meaningful for you your organization your region uh and so on i believe that this is a difficult

909
1:49:59 --> 1:50:06
but doable objective and frankly from my point of view my understanding is if we don't do this

910
1:50:06 --> 1:50:14
we die so uh i'll put my email and my phone number if you can put the email in and also put the

911
1:50:14 --> 1:50:19
document in again because it was early in the chat that you put it up i i just put it in a little

912
1:50:19 --> 1:50:26
while ago but i will certainly put it in again uh and thank you so much and i i have to leave in

913
1:50:26 --> 1:50:32
in a minute or two but i will do this i'll put the document in and my email and phone number

914
1:50:33 --> 1:50:39
excellent thank you thank you rima for sharing your thinking please have a read of that strategic

915
1:50:39 --> 1:50:55
plan glen it's coming one moment beautiful there it is is it did that pop up did it populate

916
1:50:56 --> 1:51:09
one second no no yeah oh okay so i'll put my now i'll put my uh my data in thank you no it's not

917
1:51:09 --> 1:51:16
yet not yet there no well then i'll do it again do it again all right while you're doing that well

918
1:51:16 --> 1:51:22
done rima on your thinking everybody please take on board think about the strategic plan we've got

919
1:51:22 --> 1:51:29
world war three here this is part of this is one of the battles um so glen questions that are new

920
1:51:29 --> 1:51:37
keep going with that element because i got river on before before three three p.m go comment to you

921
1:51:37 --> 1:51:42
albert uh while the your your history and your skill set is around roll-ups and statistical

922
1:51:42 --> 1:51:47
patterns uh i want to encourage you to you there are times you need to do drill downs

923
1:51:47 --> 1:51:52
and show individual stories now you pointed out some with conditions and

924
1:51:52 --> 1:51:57
in ages but you didn't really dig into some of the individual ones so right now could you pull

925
1:51:57 --> 1:52:04
up the uh the the two-year-old and sort of walk us through what was said in the report and and

926
1:52:04 --> 1:52:11
and what can be inferred from the kind of things that were said um actually i i i included in my

927
1:52:11 --> 1:52:17
i can include the download a 32 page document this is from there's the story the backstory is

928
1:52:17 --> 1:52:26
written on on waynes bears analysis dot info and the actual report itself um so i can i can do that

929
1:52:26 --> 1:52:32
um i don't have access well i do have access to the pdf i don't know do i have time or

930
1:52:33 --> 1:52:40
if there's a specific place that it is detailed just put that in the chat yeah definitely right

931
1:52:40 --> 1:52:45
yeah i will right right here that's what i was thank you that's right coming right i want to

932
1:52:45 --> 1:52:49
comment i mean you opened up a few of them but you kind of jumped it up and down it you didn't even

933
1:52:49 --> 1:52:55
leave us time to sort of read some of the details yeah i'm so sorry it's all text that's jammed

934
1:52:55 --> 1:53:00
together it's it's not paragraphs and things if there's times when you could go down and highlight

935
1:53:00 --> 1:53:07
things so it's more readable it stands out and and and a personal story sticks in people's brain

936
1:53:07 --> 1:53:15
yeah no no i i totally understand mr mako i i have 400 videos of weekly audits for now a year

937
1:53:15 --> 1:53:22
and a half of exactly that where i'm reading reports but you know for for this for this audience

938
1:53:22 --> 1:53:28
i just kind of had to do it that way just to show you the capabilities of this dashboard and and

939
1:53:28 --> 1:53:36
that that my dashboard can be authenticated one report at a time against uh against the med alerts

940
1:53:36 --> 1:53:46
data so uh but thank you i'll take that i'll do a better job next time thank you thanks so the

941
1:53:46 --> 1:53:55
question everybody the question that albert raises which is a an interesting one is who can albert

942
1:53:55 --> 1:54:01
get funding from and there are many organizations of it so that you've put that out here but there

943
1:54:02 --> 1:54:08
are groups so clearly there's truth for health has funding for court cases there are lawyers

944
1:54:08 --> 1:54:14
who have funding for court cases your data is relevant for court cases and the question is

945
1:54:14 --> 1:54:21
if any of you have suggestions as to where albert there are which organizations he should approach

946
1:54:21 --> 1:54:29
for funding and surya for funding uh because there are people with money who realize the

947
1:54:29 --> 1:54:38
existential threat but they have to be asked yeah if i can if i can mention i wanted to bring up uh

948
1:54:38 --> 1:54:44
miss stew frost uh now a dear friend and she's she's local i can go to her and shake her hand

949
1:54:44 --> 1:54:52
and say thank you she's in sacramento i'm in san jose which uh um yeah i'm wanting to you know if

950
1:54:52 --> 1:55:00
i get with any uh non-profit so to speak i want it to be i want it to be su su frost's non-profit

951
1:55:00 --> 1:55:06
guerrilla learning um but you know apart from that i don't know if she has a minute a minute

952
1:55:06 --> 1:55:12
to speak about that one but before that i just wanted to i just wanted to give a couple of

953
1:55:12 --> 1:55:21
shout outs um just quickly uh raiman obams when dr raiman obams bombs away um uh who's

954
1:55:21 --> 1:55:29
passed away is not with us brandy vaughn of uh uh learn the risk dot org um the late brandy vaughn

955
1:55:29 --> 1:55:36
her website on learn the risk dot org has probably the best um dashboard bears dashboard i've seen so

956
1:55:36 --> 1:55:43
far i still i'm gonna make mine better but that one is pretty darn good but it's but it's made out

957
1:55:43 --> 1:55:51
of uh microsoft power power bi so it's made up so it's made in microsoft unfortunately um dr robert

958
1:55:51 --> 1:55:57
o young who was just on robert fulmick my god he's one of my favorites if you get the chance to see

959
1:55:57 --> 1:56:05
him on uh robert o young dr jerry waters what what what what a man of integrity he actually

960
1:56:06 --> 1:56:12
he actually went out and and supported me and and made a made a comfortable a sizable

961
1:56:12 --> 1:56:18
a donation to my to my cause god bless you dr waters i just wanted to mention that okay

962
1:56:18 --> 1:56:27
thank you guys keep asking me questions but on the issue of brandy vaughn who clearly was murdered

963
1:56:28 --> 1:56:38
and she forewarned her death um and the regulatory authority said nothing to see here does anybody

964
1:56:38 --> 1:56:45
know if any if anything further is going on with her murder because clearly she was healthy and fit

965
1:56:46 --> 1:56:53
and she did a video says if i die it's not because i had an accident or because i got sick does anyone

966
1:56:53 --> 1:56:56
know

967
1:56:58 --> 1:57:03
okay we don't so just keep your eyes peeled for that that was about two years ago i reckon

968
1:57:03 --> 1:57:10
and brandy was the most courageous former big pharma employee he's realized the fraud and so

969
1:57:11 --> 1:57:19
the the link is in the chat for learn the risk.org now there are people here um there are people

970
1:57:20 --> 1:57:29
we finished this at 8 30 tom rodman has put a call in sorry put a link into the video chat on

971
1:57:29 --> 1:57:39
telegram after we finish the formalities here so that's that's follow the link through there now

972
1:57:39 --> 1:57:45
one other announcement i want to remind you of that i made last week because we've got such a

973
1:57:45 --> 1:57:57
moving population um warner mendenhall advises over 16 000 legal cases going on in the us at the

974
1:57:57 --> 1:58:08
moment against all aspects of covid so so bobby ann cox addressed us last week but 16 100 everybody

975
1:58:08 --> 1:58:14
i think you should be excited by that there's a lot of stuff going on and then elbert if you make

976
1:58:14 --> 1:58:21
your services available as daria put into the chat that is an expert witness you can be paid

977
1:58:21 --> 1:58:28
and then you can help to extract specific data for specific specific cases so if you contact warner

978
1:58:30 --> 1:58:38
then make though your expert advice expert advice available for those court cases okay

979
1:58:39 --> 1:58:44
and you get paid by the hour for doing so well and thank you god bless you i mean more than anything

980
1:58:44 --> 1:58:50
i just want to make this dashboard available to the poorest people around the world with the cell

981
1:58:50 --> 1:58:58
phone that can see the data and make the decision for themselves to not get the shot i mean and help

982
1:58:58 --> 1:59:03
the analytics people and help the attorneys but the people i want to help first and foremost

983
1:59:03 --> 1:59:10
are the are the regular people on the street to see the data god bless you that's well one of the

984
1:59:10 --> 1:59:20
things your your data and what you derive from it i suggest you share that with leave lead on truth

985
1:59:20 --> 1:59:25
for health you've also got vax choice you've got children's health defense just keep sharing

986
1:59:25 --> 1:59:32
insights because then they will share that insight and vax choice for example if if you if any of you

987
1:59:32 --> 1:59:40
don't go to vax choice i'll put the link in va x choice.com it is a wonderful daily newsletter

988
1:59:40 --> 1:59:49
with three or four magnificent memes and elbert if you've got a crucial piece of data or suria's got

989
1:59:49 --> 1:59:56
a crucial piece of data share it with vax choice they'll put it on and and get it out because

990
1:59:56 --> 2:00:03
your the huge amount of data the person in the street cannot cope with it but a meme

991
2:00:03 --> 2:00:10
a funny meme an outrageous meme they can that's what i would recommend here's sue frost well done

992
2:00:10 --> 2:00:18
on your support of elbert thank you sue i just wanted to say albert thank you so much for your

993
2:00:18 --> 2:00:26
work and and i i love your mission of making it easier for the average person to understand

994
2:00:26 --> 2:00:31
what's in the various database but what you're doing goes so far beyond that because

995
2:00:32 --> 2:00:43
like there you're creating a way for us to quantify what's actually happening and to actually

996
2:00:43 --> 2:00:50
easily see it in a pictorial format and you know i've been going back i know you've been helping

997
2:00:50 --> 2:00:57
me with some research to go back and look at the hr 5546 which is the national childhood vaccine

998
2:00:57 --> 2:01:08
act of 1986 and i'm trying to identify the the the exact wording of what does what is cdc or fda

999
2:01:08 --> 2:01:17
do what is their charge and are they doing it because there's a lot of confusion at the state

1000
2:01:17 --> 2:01:24
and local level if if i as a county supervisor ask my public health officer and i have several times

1001
2:01:24 --> 2:01:31
you know what is um why aren't we looking at theirs what about all you know the all these people

1002
2:01:31 --> 2:01:37
that are being injured and i've gone through all the injuries and what they basically say is we don't

1003
2:01:37 --> 2:01:44
look at bears we have um we have some databases that we're managing in at the california level but

1004
2:01:44 --> 2:01:52
the cdc is the one who manages bears and i said so do they report to you you know what they're

1005
2:01:52 --> 2:01:57
seeing there and she said yes but no it's like divide and conquer it's like there's so many

1006
2:01:57 --> 2:02:04
different ways that someone can report they're not all reporting to one system and no one's looking

1007
2:02:04 --> 2:02:11
at bears because they're delegitimizing it and so if there is a charge in that law on what the

1008
2:02:11 --> 2:02:19
you know cdc or fda was supposed to do i think we need to in on the legal side hold them to that

1009
2:02:19 --> 2:02:30
and create um some way for for us to better monitor and record adverse reactions so that we

1010
2:02:30 --> 2:02:37
can you know there's accountability so you're bringing that and you you know i'll do anything

1011
2:02:37 --> 2:02:43
i don't think there's time to really go into you know guerrilla learning but you know just i'll just

1012
2:02:43 --> 2:02:50
quickly say guerrilla i'm here to support in any way i can we have a a non-profit um in california

1013
2:02:50 --> 2:02:58
that was born out of covid we our initial protest was to bring um news to the world that there are

1014
2:02:58 --> 2:03:05
treatments and we brought jay bodhicharya and george farid and joe ladapo and steve kursh to

1015
2:03:05 --> 2:03:10
and we really raised a hundred thousand dollars and we really thought at that time in january

1016
2:03:10 --> 2:03:14
21 that that was going to be the open it to the world and then everyone would know there's

1017
2:03:14 --> 2:03:22
treatments and it was amazing is the amount of um censorship that we received and um fast forward

1018
2:03:23 --> 2:03:29
to now we are partnered with this uh constitutional sheriff and peace officers association to bring

1019
2:03:29 --> 2:03:36
them to california and get constitutional studies in every california county so we have an

1020
2:03:36 --> 2:03:43
infrastructure that we're building and i think um albert is considering doing uh the re we offer

1021
2:03:43 --> 2:03:49
a re-grant program whereby a committee or or anyone can operate under our non-profit with their

1022
2:03:50 --> 2:03:54
approved project of our board and we have some board members who attend this call regularly

1023
2:03:54 --> 2:04:01
kathy allard is dr kathy allard i don't know if she's here today and um also deborah caprazo who's

1024
2:04:01 --> 2:04:07
intricately involved in our company and so this is something i do on the side because i can't

1025
2:04:08 --> 2:04:14
fix everything at the public level we're doing everything we can and i'm super excited about

1026
2:04:14 --> 2:04:23
albert and and his project so we'll see where this goes but we're gonna this is this is we're

1027
2:04:23 --> 2:04:29
hitting a tipping point they can't hold the news back anymore people are talking about it everywhere

1028
2:04:30 --> 2:04:38
and so thank you albert for the presentation today thank you sue and two of you are quite

1029
2:04:38 --> 2:04:46
correct that as there are 16 000 plus cases more and more judges are not are not assuming that

1030
2:04:46 --> 2:04:55
anybody who's questioning the cvc or the fda is a nutcase anti-vaxxer and so it's becoming easier

1031
2:04:56 --> 2:05:04
in the courts and and bobby and cox's story last week is very relevant that that companies

1032
2:05:04 --> 2:05:11
and states pass and bureaucrats pass regulations that are simply unlawful but it takes time to get

1033
2:05:11 --> 2:05:19
that through the courts all right anyone have thank you for that sir anyone have any suggestions

1034
2:05:20 --> 2:05:24
questions that they would like that they would like

1035
2:05:25 --> 2:05:34
so my feeling albert about your evidence is that you need so you're a data expert as i understand

1036
2:05:34 --> 2:05:42
it and um and you don't necessarily see the importance of the things you uncover so you

1037
2:05:42 --> 2:05:48
kind of think oh that's interesting um but i'm a little bit worried that a lot of the stuff that

1038
2:05:49 --> 2:05:53
i'm a little bit worried that a lot of the stuff that you are capable of turning up

1039
2:05:54 --> 2:06:00
is not going anywhere uh because my feeling is that you maybe need some help to

1040
2:06:02 --> 2:06:09
to uh you need to tell a friend or someone you're working with what your thoughts are about

1041
2:06:10 --> 2:06:16
what you're uncovering and that person needs to be intelligent enough or well informed enough to

1042
2:06:16 --> 2:06:22
pick up uh the importance of what you're saying for lawyers for example uh both now and in the

1043
2:06:22 --> 2:06:29
future so one of the things i think that would be and i haven't heard you mention this i don't think

1044
2:06:29 --> 2:06:36
so i i think it'd be really helpful if you were to go into theirs what what it was

1045
2:06:37 --> 2:06:45
the history of it you know and um and also what is expected of them by americans and the rest of

1046
2:06:45 --> 2:06:52
the world because it's not just americans who report to theirs um um so i don't know whether

1047
2:06:52 --> 2:07:00
that makes sense but no yeah i uh yeah just uh you know i understand people's selective perception

1048
2:07:01 --> 2:07:08
um and everybody has one i could tell you that there's been a dozen nights that i've cried by

1049
2:07:08 --> 2:07:19
myself not for me for the kids for this depopulation um you know so much so that i

1050
2:07:19 --> 2:07:24
i'm just a medical biller but i do not want to participate in the medical industry any longer

1051
2:07:24 --> 2:07:32
and i and i walked out and so yeah you know yeah i mean now i'm in stealth mode like charles says

1052
2:07:32 --> 2:07:40
this is a war this is a straight up spiritual warfare and i'm in like stealth mode and although

1053
2:07:40 --> 2:07:47
i you know i i i wear my heart on my sleeve when i have to but the other times i know i'm kind of

1054
2:07:48 --> 2:07:52
i don't know what the word is crass or i don't know like oh look at this person look at this

1055
2:07:52 --> 2:08:01
child with the heart attack oh my god it kills me it kills me so so so deeply um yes but you would

1056
2:08:01 --> 2:08:07
want you presumably would want to nail these people responsible for this so and that means

1057
2:08:07 --> 2:08:14
that we need someone to help you to to realize what's important about what you're talking about

1058
2:08:14 --> 2:08:20
i don't know what charles would say yeah no i know that's that's right steven that's the point that

1059
2:08:20 --> 2:08:27
with the 16 000 cases they need different bits of evidence and what the lawyers need to know is

1060
2:08:27 --> 2:08:34
there are people on this call and and jeff pilatt is another example dr claire craig there are

1061
2:08:34 --> 2:08:39
excellent data analysts who can help lawyers understand the relevance of the numbers that's

1062
2:08:39 --> 2:08:46
what they need you elbert your job our job is to be aware of it so we can share with lawyers but

1063
2:08:46 --> 2:08:52
your job is to tell the lawyers tell warner give send warner an email and he'll spread the message

1064
2:08:52 --> 2:09:01
amongst his covert lawyer network but probably i don't think i don't think albert is possibly the

1065
2:09:01 --> 2:09:06
best person to decide what the lawyers want he he doesn't know no no that's that's albert makes

1066
2:09:06 --> 2:09:13
himself available the lawyers then go what i need is this piece of evidence well the way we can help

1067
2:09:13 --> 2:09:18
then is people like you charles the legal advisor can tell the lawyers you need to listen to albert

1068
2:09:18 --> 2:09:26
because although he may miss the mark um you know uh 20 times on the 21st time he hits something

1069
2:09:26 --> 2:09:32
that the lawyers want to know about and sasha has offered her the services and jeff pilatt has

1070
2:09:32 --> 2:09:37
offered so and elbert's skills are different to sasha and and you're steven you're quite right

1071
2:09:37 --> 2:09:42
it's literally it's literally finding that smoking gun that's what elbert's talking about that's what

1072
2:09:42 --> 2:09:46
we're always talking about remember the tobacco case everybody said i've always said i'm waiting

1073
2:09:46 --> 2:09:52
for people to catch up i've i've always i've said it i've said it a few times that i have a thousand

1074
2:09:52 --> 2:09:58
answers to a thousand questions that have not been asked yet but when i give the answer ahead of the

1075
2:09:58 --> 2:10:02
question people are scratching their head going huh what do you what do you mean you you don't say

1076
2:10:02 --> 2:10:08
what are you start talking about so it's like i i feel like a caged eagle i really do like i'm

1077
2:10:08 --> 2:10:15
waiting for people to catch up and go ah i get it now yeah but you know that's just me good

1078
2:10:15 --> 2:10:21
but that's my point you have to i'm happy to help you articulate your offering to the legal

1079
2:10:21 --> 2:10:29
fraternity globally okay thank you because the danger is that um the danger is that the lawyers

1080
2:10:29 --> 2:10:38
dismiss albert because um maybe it's the hat not because it's not competent but because you know

1081
2:10:38 --> 2:10:43
what lawyers are like they want to go on to the next thing no no one just put a tie on i'll put

1082
2:10:43 --> 2:10:50
a suit and tie on when when i'm going to do it it's time yes no look steven steven that's that's the

1083
2:10:50 --> 2:10:59
articulation of albert's offering to the legal lawyers steven and then the the lawyers have to be

1084
2:11:00 --> 2:11:05
provoked so that when they come back to elbert what have you got elbert your your answer elbert

1085
2:11:05 --> 2:11:11
is not i made this mistake in my in my speaking career everybody i'm a i'm a professional speaker

1086
2:11:11 --> 2:11:17
and an executive coach after i stopped being a lawyer and people would say like just imagine this

1087
2:11:17 --> 2:11:24
because this is medical doctors you go to the doctor and the first thing the doctor says

1088
2:11:24 --> 2:11:30
let me go through my qualifications let me go through my experience let me go through my

1089
2:11:30 --> 2:11:37
philosophy no the patient couldn't give for rats the doctor the wise doctor steven as you know says

1090
2:11:38 --> 2:11:46
elbert you know sorry to the patient what's up the doctor doesn't talk about his qualifications

1091
2:11:46 --> 2:11:52
similarly elbert when somebody says to you how can you help your answer is never don't go blah

1092
2:11:53 --> 2:12:01
your answer is what do you need that's the point because steven says you've got a you've got a

1093
2:12:01 --> 2:12:07
thousand answers to a thousand questions but the lawyers have to articulate in these 16,000 cases

1094
2:12:08 --> 2:12:14
what crucial piece of evidence can you dig out and then appear in court to support that because

1095
2:12:14 --> 2:12:20
that's the other thing that lawyers need not just information but your ability to be an expert

1096
2:12:20 --> 2:12:29
witness but um so albert we're listening to your last presentation that was um extremely interesting

1097
2:12:29 --> 2:12:37
from a lawyer's point of view because you are turning up all kinds of um evidence of uh

1098
2:12:37 --> 2:12:40
concealment of crime in my view in the present context

1099
2:12:42 --> 2:12:47
thank you albert yep absolutely and albert the question is how can someone get hold of you for

1100
2:12:47 --> 2:12:57
an interview albert's email address is in the in the chat he's put that yeah in there so save the

1101
2:12:57 --> 2:13:04
chat everybody um and steven good point all right so that's what we're going to do with albert we

1102
2:13:04 --> 2:13:09
will articulate and we'll get it to the lawyers running cases all around the world and we've got

1103
2:13:09 --> 2:13:15
the legal group steven that that you have started to uh to you know that you've started so i've got

1104
2:13:15 --> 2:13:23
a lot of lawyers we can send that to albert next question anyone got a question or a problem we've

1105
2:13:23 --> 2:13:33
got another 10 minutes excellent we don't have to keep going um yes your hands are good i wonder

1106
2:13:33 --> 2:13:42
if gail mccrae is still on the call if she could um give a little commercial on her efforts legal

1107
2:13:42 --> 2:13:52
efforts um i will check gail mccrae is a uh nurse who was fired she's not here no she's not here

1108
2:13:52 --> 2:13:57
oh all right but rima rima what you could do quite frankly is come back to stop the who

1109
2:13:57 --> 2:14:04
we just come back to your strategic thinking on this issue of every people in every country

1110
2:14:05 --> 2:14:10
understanding the threat that is who and now the money pox game that's coming along and i've seen

1111
2:14:10 --> 2:14:17
some pretty horrific emails in the last week that you know that who is already wanting to claim

1112
2:14:17 --> 2:14:23
sovereignty over each of our countries yes could you just give us a did you just articulate what

1113
2:14:23 --> 2:14:28
that threat is as you presently see it with what they're trying to do with their regulations

1114
2:14:31 --> 2:14:34
dreamer i've tried to email you a few times asking you whether you'd like to

1115
2:14:35 --> 2:14:38
present to us but i think you might be a bit behind with your emails um

1116
2:14:38 --> 2:14:44
um and um so i was just going to ask you now but you don't need to answer if you don't want to

1117
2:14:44 --> 2:14:51
if you'd like to present to us next sunday then there's a free slot then yes i'd be very happy to

1118
2:14:52 --> 2:15:00
oh very nice of you um which email address do you use dreamer um i'll give you the uh yes

1119
2:15:01 --> 2:15:06
you can maybe write to me um because i i think i may have the wrong email address for you

1120
2:15:07 --> 2:15:14
uh you asked me to present and i wrote to you and said yes i'd love to and uh didn't hear back so

1121
2:15:14 --> 2:15:21
it's probable i mean it's i think i did reply to that one i remember you saying that yeah i think

1122
2:15:21 --> 2:15:28
i replied to you but um oh exactly i'm sorry if i missed it but i don't i think i saw that one where

1123
2:15:28 --> 2:15:36
you said yes i'd love but i think reema you saw the email late that could be yes could be so

1124
2:15:37 --> 2:15:43
i mentioned one one last thing i see a question i see a question in the past a few times but it

1125
2:15:43 --> 2:15:52
was a it was a question about um ethnicity in the bears data and um how do we get that or

1126
2:15:53 --> 2:16:01
is it is it in there in this and the question is the answer is um no it's not it's not published

1127
2:16:01 --> 2:16:09
to the public the the um ethnic or ethnicity data um however i i went back to my video because i

1128
2:16:09 --> 2:16:15
wasn't sure if i filled that if that question asked you know what's your nationality or whatever

1129
2:16:15 --> 2:16:21
however they call it and it is there i saw it i have proof that that it is there on my on my video

1130
2:16:21 --> 2:16:27
that that's one of the questions they ask you know you know white black hispanic all that stuff

1131
2:16:27 --> 2:16:33
but yet they don't they don't publish that on the on the bears data so um i guess the question is

1132
2:16:33 --> 2:16:39
how do we get it i have no idea but it's not it's not in the published bears data at all but that

1133
2:16:39 --> 2:16:45
would be pretty interesting to okay so the question is the question is asked but it's not published

1134
2:16:45 --> 2:16:54
it's not published yeah all right uh jim's got his hand up so albert if they ask a question if

1135
2:16:54 --> 2:16:59
they have an ask a question and they get an answer are they required to publish it

1136
2:17:02 --> 2:17:06
i don't think they're required to do anything i mean i don't know i really don't know

1137
2:17:07 --> 2:17:15
but albert the original idea behind bears was there any requirement or were they just set up

1138
2:17:15 --> 2:17:22
with loads of money from the state and yeah i mean i first of all i i thought i read

1139
2:17:23 --> 2:17:28
somewhere before or heard somewhere before that the original original although i'm reading what

1140
2:17:28 --> 2:17:36
i read in the national vaccine information center by by the founder herself barbara lo fischer

1141
2:17:36 --> 2:17:44
says that she was a part of the very beginning 1986 prep fact but i thought that that bears

1142
2:17:44 --> 2:17:52
wasn't like the initial wasn't initially in there that it had to come later that she her and people

1143
2:17:52 --> 2:17:59
like her had to claw and kick and scream to actually get them to to to go okay a part of this

1144
2:18:00 --> 2:18:08
prep act we're going to um publish the the adverse events but even then reading the history on that

1145
2:18:08 --> 2:18:14
it didn't it didn't come out i mean they just they just regurgitated a bunch of a bunch of code a

1146
2:18:14 --> 2:18:20
bunch of data and it took a it took many years before stephen rubin came along and actually

1147
2:18:20 --> 2:18:28
created meta alerts that made it um and it wasn't until after he created meta alerts that cdc created

1148
2:18:28 --> 2:18:35
the wonder system to make it more somewhat user-friendly okay so why don't you employ the

1149
2:18:35 --> 2:18:42
the tactic which surya told us about that he starts off when he's blind or or doesn't know

1150
2:18:42 --> 2:18:49
what the answer is he asks them what are your protocols or whatever it was he said um and that

1151
2:18:49 --> 2:18:55
way you could so you could write to them on an foia or get surya to write them even better and

1152
2:18:55 --> 2:19:02
um and nail them on what they're required to do and then you you go back at them and say well why

1153
2:19:02 --> 2:19:07
haven't you done this and why haven't you done that and and stephen sue frost has put in there

1154
2:19:07 --> 2:19:15
that she's digging out the law from congress library on this issue so there's chatting there

1155
2:19:15 --> 2:19:21
so stepping absolutely on the right side with that albert's helping me with that yeah one of one of

1156
2:19:21 --> 2:19:28
the rules that's that's clearly written in the um the uh sops and the sops standard operating

1157
2:19:28 --> 2:19:34
procedures there that i've seen myself um it says uh like one of the things that stood out is that

1158
2:19:34 --> 2:19:41
the the physician or health care worker or hospital is obligated to file a bears report

1159
2:19:41 --> 2:19:48
if the patient goes moves from transitions from emergency to inpatient hospital so they get admitted

1160
2:19:48 --> 2:19:53
they're obligated right there at that point to file a bears report but that's great in the standard

1161
2:19:53 --> 2:19:59
operating procedure but i saw firsthand with my uncle that nobody in the hospital asked

1162
2:20:00 --> 2:20:05
what was it were you involved you know what was your vax history it's like they they don't ask

1163
2:20:05 --> 2:20:11
the question so that they don't have to know because if they do know then they'll be obligated

1164
2:20:11 --> 2:20:18
to file a report so then therefore they don't ask and then you know uh electronic medical records

1165
2:20:18 --> 2:20:26
like epic that has the university hospital market cornered you know it doesn't even set it up in

1166
2:20:26 --> 2:20:32
their system to you know to these are all just followers right you know they just plug in whatever

1167
2:20:32 --> 2:20:39
is there but you know so so it's not even that's not a that's not a failure of of theirs or the

1168
2:20:39 --> 2:20:47
cdc that's a failure that's an ethical failure that's a a doctor failing to get a proper history

1169
2:20:47 --> 2:20:53
from his patient or her patient yeah that's not not something that should concern you because um

1170
2:20:54 --> 2:21:00
you're concerned with what what bears as i understand it with what with what bears does with

1171
2:21:00 --> 2:21:06
the information provided to them and what are the requirements at the moment it seems that we don't

1172
2:21:06 --> 2:21:12
have any idea what they're required to do which is a not very good is it we need to find out what

1173
2:21:12 --> 2:21:16
they're going to find out okay we've got two we've got one hand up and then we're going to finish in

1174
2:21:16 --> 2:21:22
three minutes so and then we can go back to tom rodman has put the telegram video on this is a

1175
2:21:22 --> 2:21:29
two and a half hour session um and jim put your hand up rima i will email you i think it's dr rima

1176
2:21:30 --> 2:21:36
that one that email address yes yes i'm going to put both my emails in the chat and invite anyone

1177
2:21:36 --> 2:21:45
to use both on any email thank you so much thank you and and then look at the kill at the kill who

1178
2:21:45 --> 2:21:52
strategy jim thank you very much great presentation thank you jim the uh issue of racial specificity is

1179
2:21:52 --> 2:21:59
a very important topic and it's being anything that's being hidden we cdc knows is important

1180
2:21:59 --> 2:22:02
fda knows is important anything that's left off the database is very important and that's where

1181
2:22:02 --> 2:22:08
you come in to figure out what is left off the data database what they're hiding and specifically

1182
2:22:08 --> 2:22:13
not just race but ace 2 receptor the ace 2 receptor is the entry site for how they get into that how

1183
2:22:13 --> 2:22:18
it gets into the back into the cells and that ace 2 is racially specific and so if we can get that

1184
2:22:18 --> 2:22:24
data we can show that maybe some people are okay to take this vaccine virus spike protein whereas

1185
2:22:24 --> 2:22:28
some people are not and that's going to be the critical issue of this and that may tie everything

1186
2:22:28 --> 2:22:33
together in terms of the of the world economic forum plow swab and everybody into it maybe

1187
2:22:33 --> 2:22:38
that's safe for them maybe it's not safe for others and that's the secret to the data the other the

1188
2:22:39 --> 2:22:45
issue is yes um your you now have people who are looking for this who are actively being sued

1189
2:22:46 --> 2:22:53
peter macula some of these other people are being actively sued and those people not only can use

1190
2:22:53 --> 2:22:57
voia requests but they also have discovery requests they can use so you may be able to

1191
2:22:57 --> 2:23:04
tell them how you and uh and uh the guy who spoke before may be able to hone their requests in on to

1192
2:23:04 --> 2:23:10
use their discovery stuff and act as expert witness because if you can find things that they

1193
2:23:10 --> 2:23:15
that they don't turn over then you get paid under some kind of good your verse agar case

1194
2:23:15 --> 2:23:21
where but for them not being honest they had to employ you so you get uh paid and and i think

1195
2:23:21 --> 2:23:26
steven frost and uh and charles went over that pretty well with you um great job thank you very

1196
2:23:26 --> 2:23:30
much that race data you can get any of that race data that would be really critical and i need it

1197
2:23:30 --> 2:23:36
next two days thanks well done well done jim all right everybody we're gonna go

1198
2:23:36 --> 2:23:40
tom rodman has put the link in there two and a half hours

1199
2:23:41 --> 2:23:48
elbert well done on your digging and well done on your passion we love passionate people steven

1200
2:23:48 --> 2:23:58
is passionate um steven anything you want to say before we formally end well thank you to um

1201
2:24:00 --> 2:24:07
to you um uh albert and uh and to your accomplices and um and uh

1202
2:24:08 --> 2:24:13
reema i will send an email to you if you could look out for your emails that would be good

1203
2:24:13 --> 2:24:19
or mine so thank you so much thank you very much everybody for showing up thank you so much it was

1204
2:24:20 --> 2:24:26
an honor surreal well done albert thank you big thank you with where we do the thank you's everybody

1205
2:24:26 --> 2:24:32
see you on tuesday night wednesday tuesday afternoon tuesday night wednesday morning have a

1206
2:24:33 --> 2:24:42
wonderful sunday monday save the chat save the chat get over save the chat yes save the chat and

1207
2:24:42 --> 2:24:50
get over to the telegram chat if you've got time to keep talking well done albert thank you thank

1208
2:24:50 --> 2:24:57
you dr waters yeah well done jerry for your support there thank you albert god bless thank you

1209
2:24:57 --> 2:25:06
thank you