1 0:00:00 --> 0:00:06 And we're going to finish it in 50 minutes, so you don't have to go for a long time because 2 0:00:06 --> 0:00:07 we're going to finish at the two and a half hour mark. 3 0:00:07 --> 0:00:10 But Craig, I've given you permission to show you. 4 0:00:10 --> 0:00:13 But Sean, just to put you in the picture, I don't know whether you heard, so Craig, 5 0:00:13 --> 0:00:19 I did invite him formally, but then he didn't get back to me with an email, but he obviously 6 0:00:19 --> 0:00:21 intended to come, but I didn't know that. 7 0:00:21 --> 0:00:23 So that's why I got Andrew. 8 0:00:23 --> 0:00:26 So actually, Craig was our guest for today. 9 0:00:26 --> 0:00:31 Anyway, but Andrew, it was good that Andrew came on and it's good that you're here, Craig. 10 0:00:31 --> 0:00:33 So I hope you feel welcome. 11 0:00:33 --> 0:00:36 And sorry that it's taken so long to get to you. 12 0:00:37 --> 0:00:39 Yes. Thanks for letting me come on. 13 0:00:41 --> 0:00:44 Could you put me in things so I can share my screen? 14 0:00:44 --> 0:00:45 You can, Craig. 15 0:00:47 --> 0:00:48 Thanks. 16 0:00:50 --> 0:00:51 Right. OK, so. 17 0:00:51 --> 0:00:58 So what I'm going to talk about tonight is a follow on from John Badoin's comments. 18 0:00:58 --> 0:01:03 What John Badoin was saying was that basically the vaccines are. 19 0:01:04 --> 0:01:08 Were not just the only bio weapon used against the public. 20 0:01:08 --> 0:01:14 And as you all know, in the UK, Madaslam was one thing they used against people in 2020. 21 0:01:14 --> 0:01:19 But the truth is, they've actually used a whole range of methods to get to the people. 22 0:01:19 --> 0:01:24 They've actually used a whole range of medications against people in different countries. 23 0:01:24 --> 0:01:31 And what I'm going to show you tonight is the evidence for that, which is quite large. 24 0:01:31 --> 0:01:36 We're going to be looking at Remdesivir and its associated family of drugs, which include. 25 0:01:38 --> 0:01:40 Well, you're listening to bullshit. 26 0:01:40 --> 0:01:42 It's not bullshit. 27 0:01:42 --> 0:01:46 John, I was able to talk about boring before. 28 0:01:47 --> 0:01:49 Yeah, OK. Yeah, well done. 29 0:01:50 --> 0:01:59 Yeah. So what we're going to look at is Remdesivir, but also the family of drugs to which Remdesivir belongs to, 30 0:01:59 --> 0:02:09 which includes Tenofovir, which includes Abacavir, which includes Ritonavir and also Tamiflu, 31 0:02:09 --> 0:02:14 which is also part of the same family of drugs as Remdesivir. 32 0:02:14 --> 0:02:19 And what I'm going to show you is the actual properties of these drugs. 33 0:02:19 --> 0:02:30 So that you can see what's what's been going on in the year of the so-called pandemic 2020 and onwards. 34 0:02:30 --> 0:02:33 So now I'm going to try and share my screen. 35 0:02:36 --> 0:02:39 So to do that, I'm going to go to the PowerPoint. 36 0:02:39 --> 0:02:48 There you go. And if I go to this one and this one and. 37 0:02:50 --> 0:02:53 Share screen. Yeah, good. 38 0:02:55 --> 0:02:57 Can everyone see this? 39 0:03:00 --> 0:03:02 Well, I can. I don't know about you. 40 0:03:02 --> 0:03:04 Can you see it? Yeah. 41 0:03:04 --> 0:03:06 OK, that's good. 42 0:03:06 --> 0:03:11 So we're going to start. I'm going to go quickly, because obviously we've got limited time. 43 0:03:11 --> 0:03:15 So I'm going to quickly run through the basis of the data that I'm talking about. 44 0:03:15 --> 0:03:23 It's the uterovigilance. Everyone's probably heard of uterovigilance, which is the European version of theirs. 45 0:03:23 --> 0:03:30 And the purpose I created a project, which was to provide public access to uterovigilance. 46 0:03:30 --> 0:03:35 Yes. So everyone thinks, well, it's already public, but it's not really public because you can only use 47 0:03:35 --> 0:03:39 their interface and you can only get tiny snippets of information. 48 0:03:39 --> 0:03:47 So what what Ankur Wouter did was he provided the code for downloading the entire uterovigilance. 49 0:03:47 --> 0:03:52 He provided the code. You could call him a professional computer programmer. 50 0:03:52 --> 0:03:56 He downloaded. He created the code for downloading the whole thing. 51 0:03:56 --> 0:04:00 So I used his code and it worked. 52 0:04:00 --> 0:04:06 And in one day, I downloaded the entire uterovigilance, which is about five gigabytes. 53 0:04:06 --> 0:04:16 Anyway, once we've got this data, we can analyze it and we discover some really interesting stuff. 54 0:04:16 --> 0:04:19 So firstly, just a quick overview. 55 0:04:19 --> 0:04:24 Uterovigilance is a database of adverse reactions just like theirs. 56 0:04:24 --> 0:04:27 It covers everything, not just vaccines. 57 0:04:27 --> 0:04:33 It covers all substances and all products. 58 0:04:33 --> 0:04:39 There are, in fact, 13000 drugs in uterovigilance records. 59 0:04:39 --> 0:04:45 Thirteen thousand. If you look at compare it to theirs, where there's only 100 vaccines, 60 0:04:45 --> 0:04:51 this has 13000 drugs and it covers 20000 different symptoms. 61 0:04:51 --> 0:04:55 And it has 25 million. 62 0:04:55 --> 0:05:02 Drug symptom records where one drug is associated with one with one symptom. 63 0:05:02 --> 0:05:06 OK, that's that's that done. 64 0:05:06 --> 0:05:12 Wouter or Kima provided the code, as I said, I tweaked it a bit and it worked on Python. 65 0:05:12 --> 0:05:17 And then we got I got the whole download. 66 0:05:17 --> 0:05:18 Here's the download link. 67 0:05:18 --> 0:05:23 You don't have to actually download anything yourself, because I've already done it. 68 0:05:23 --> 0:05:27 And I've loaded the entire database onto Dropbox. 69 0:05:27 --> 0:05:34 So anyone who's out there, who's a data analyst, whatever, can actually just go to the Dropbox and download the whole thing. 70 0:05:34 --> 0:05:43 So you don't have to do any of the coding or anything. 71 0:05:43 --> 0:05:45 And this is what it looks like. 72 0:05:45 --> 0:05:50 So you have a date, you have the pathology, you have the drug, you have the ingredients, you have the symptoms. 73 0:05:50 --> 0:05:51 That's what it looks like. 74 0:05:51 --> 0:05:55 So that's how I've organized it, the entire database. 75 0:05:55 --> 0:05:58 And now we're going to analyze some stuff with it. 76 0:05:58 --> 0:06:05 Now, the first thing I did was I wanted to look at remdesivir, 77 0:06:05 --> 0:06:08 because a lot of doctors have been saying remdesivir makes you ill. 78 0:06:08 --> 0:06:14 They've been saying remdesivir gives you liver injury or kidney injury. 79 0:06:14 --> 0:06:17 And I wanted to see if there was a confirmation of that. 80 0:06:17 --> 0:06:28 So what I did was I filtered the entire database just for symptoms of remdesivir. 81 0:06:28 --> 0:06:32 So I literally just looked at remdesivir, the drug. 82 0:06:32 --> 0:06:34 I filtered out all the other drugs. 83 0:06:34 --> 0:06:35 I just had remdesivir. 84 0:06:35 --> 0:06:40 And then once I had filtered the database for remdesivir, 85 0:06:40 --> 0:06:45 then I just counted the frequency of the symptoms of everything. 86 0:06:45 --> 0:06:50 All the symptoms, I counted the frequency of each one and to see which were the strongest symptoms. 87 0:06:50 --> 0:06:59 So I just counted all the symptoms up, created a list of the symptoms and then halved the net curve just for remdesivir. 88 0:06:59 --> 0:07:01 And look what you find. 89 0:07:01 --> 0:07:13 You find that the symptoms shaded in yellow are all liver injury or kidney injury. 90 0:07:13 --> 0:07:19 It's like remdesivir, it's like it attacks the liver and the kidney. 91 0:07:19 --> 0:07:24 And this confirmed what the doctors were saying. 92 0:07:24 --> 0:07:30 OK, so that got me interested. 93 0:07:30 --> 0:07:40 I looked at the actual things which remdesivir excelled in and they were all biomarkers for liver injury or kidney injury. 94 0:07:40 --> 0:07:56 OK. So then I thought, what about let's find out if remdesivir is worse or better than other drugs in this for these symptoms. 95 0:07:56 --> 0:08:03 And as you can see, Valkyrie, which is remdesivir, occurs right at the top. 96 0:08:03 --> 0:08:06 These are the other drugs which are actually worse. 97 0:08:06 --> 0:08:17 But you can see that percentage wise, we're looking at about five percent of the reports for remdesivir result in liver injury. 98 0:08:17 --> 0:08:23 And the others above it, there's only a few above it and there's about 13,000 below it. 99 0:08:23 --> 0:08:29 So it's right at the top of the table for liver injury. 100 0:08:29 --> 0:08:39 And as you can see on this second page, Tamiflu, which is the version, the antiviral given to children. 101 0:08:39 --> 0:08:43 So remdesivir is the one given to adults. 102 0:08:43 --> 0:08:49 Tamiflu is given to children and that too causes liver injury. 103 0:08:49 --> 0:08:55 And also ritonivir, which is another name for paxlovid. 104 0:08:55 --> 0:09:06 So those are the free drugs in the USA, which were used to treat covid as antivirals. 105 0:09:06 --> 0:09:13 This was before the vaccine was rolled out, but all of them cause liver injury and kidney injury. 106 0:09:13 --> 0:09:18 So and they're all part of the same family, isn't that a coincidence? 107 0:09:18 --> 0:09:23 They're all part of the same family of drugs, which all end in ivir. 108 0:09:23 --> 0:09:32 Now, this family of drugs, as you will see, is a very interesting family. 109 0:09:32 --> 0:09:34 So I got a bit curious there. 110 0:09:34 --> 0:09:39 And here is the instance of drugs for another biomarker of liver injury. 111 0:09:39 --> 0:09:45 And here we have abacavir at the top, right at the very top out of 13,000 drugs. 112 0:09:45 --> 0:09:53 Abacavir, the same family as remdesivir, just happens to be right at the top out of 13,000 drugs. 113 0:09:53 --> 0:10:04 And then we have also other examples of that family with tipranavir, amperanavir and so on. 114 0:10:04 --> 0:10:19 So basically, this family of drugs, which Fauci in America recommended and which Bidin Vax is essentially looking like it causes liver injury, 115 0:10:19 --> 0:10:26 not just individually, but the whole family of the drugs causes the same type of injury. 116 0:10:26 --> 0:10:30 So I then went on to look at what family these drugs belong to. 117 0:10:30 --> 0:10:38 And obviously, it is the antiretroviral drugs which were used to treat HIV by Fauci. 118 0:10:38 --> 0:10:40 Again, this guy just crops up. 119 0:10:40 --> 0:10:51 You know, this was like 40 years ago when the HIV began and Fauci there was managing that pandemic, so-called pandemic. 120 0:10:51 --> 0:10:56 He introduced antiretroviral drugs for the treatment of the HIV. 121 0:10:56 --> 0:11:09 And now, lo and behold, we're now in the COVID pandemic and he's using the same drugs, probably with the same amount of harmful effects. 122 0:11:09 --> 0:11:17 You can understand how. OK, so now I'm looking at renal disorders, which was the other side of things. 123 0:11:17 --> 0:11:23 Renal disorders were also associated with remdesivir. 124 0:11:23 --> 0:11:28 So again, I ordered the entire database for remdesivir. 125 0:11:28 --> 0:11:35 For the uterovigilance database was searched for renal symptoms. 126 0:11:35 --> 0:11:49 So I filtered the entire database just for renal symptoms and then I counted the frequency of every drug that had those symptoms to see which ones were coming up with the highest frequency of reports. 127 0:11:49 --> 0:12:06 And then I divided that frequency for that drug by the total number of records for that drug to obtain the percentage of reports for that drug which produced reports of renal disorder. 128 0:12:06 --> 0:12:12 And this is what you get. Now, you notice something really interesting about this table. 129 0:12:13 --> 0:12:27 What's really interesting is every single top position on renal disorder is for tenofovir, which is in the same family of drugs as remdesivir. 130 0:12:27 --> 0:12:36 So it's not only got one or two top positions, it covers every top position. 131 0:12:36 --> 0:12:47 Out of 13,000 possible other drugs, this you can see it's dominated by a drug in the remdesivir family, which is called tenofovir. 132 0:12:47 --> 0:13:03 So it makes you wonder what's been happening to all the people who accidentally got infected with HIV over the last 40 years and has then been treated by drugs like this, which cause a massive amount of renal and liver failure. 133 0:13:03 --> 0:13:13 Obviously, they've been decimated. So it makes you wonder, did they die of HIV or did they die of the protocols which were applied to them? 134 0:13:13 --> 0:13:27 And also, since Covid, Fauci and all the others have been using these kinds of the same family of drugs to treat people who are supposedly infected with Covid. 135 0:13:27 --> 0:13:44 So you give them these drugs to help them. What's going to happen is they're going to get liver or kidney failure and then they're going to produce a whole host of toxic symptoms because their body can't rid itself of toxins because the kidneys and liver are failing. 136 0:13:44 --> 0:14:02 So you're going to get very sick people with a multitude of symptoms and they can just attribute it to Covid when all along it's the protocols and the so-called helping antiviral drugs that have been causing that. 137 0:14:02 --> 0:14:08 OK, so that was tenofovir. 138 0:14:08 --> 0:14:16 Now, ritonovir, otherwise known as Paxlovid. 139 0:14:16 --> 0:14:22 This is the this again, I filtered the database just for Paxlovid and accounted the symptoms. 140 0:14:22 --> 0:14:30 And as you can see, kidney injury is right at the top with renal failure, renal injury, hepatic cytolysis and jaundice. 141 0:14:30 --> 0:14:45 So this makes you wonder, you know, you can see now a pattern where this family of drugs, the so-called remdesivir family is toxic for liver and kidney. 142 0:14:45 --> 0:14:50 And Tamiflu doesn't escape this characterization. 143 0:14:50 --> 0:14:53 Tamiflu was given to rats. 144 0:14:53 --> 0:15:09 OP is the ocellatamivir phosphate, which is the like like remdesivir, Tamiflu consists of this drug, which is part of the remdesivir family. 145 0:15:09 --> 0:15:12 It's called ocellatamivir. 146 0:15:12 --> 0:15:17 So it's like remdesivir, like abacavir, like tenofovir. 147 0:15:17 --> 0:15:29 It's one of the family and rats received this drug for twice for just five days, just five days or ten days or even forty five days. 148 0:15:29 --> 0:15:34 And it increased the hepatic renal toxicity markers. 149 0:15:34 --> 0:15:37 It increased all of them. 150 0:15:37 --> 0:15:46 So basically gave them deleterious hepatic effects and renal effects. 151 0:15:46 --> 0:15:49 So Tamiflu is not safe. 152 0:15:49 --> 0:15:54 It's still being probably given to children and. 153 0:15:54 --> 0:15:56 It's causing the same problems. 154 0:15:56 --> 0:15:59 So you've got to watch out. 155 0:15:59 --> 0:16:08 They're coming after people, not just through the vaccines, they're coming after people through other medications, which they're using as antivirals. 156 0:16:08 --> 0:16:13 So it's it's like a warning to America. 157 0:16:13 --> 0:16:16 Now, all this caused me to wonder about tenofovir. 158 0:16:16 --> 0:16:23 It had an outrageously bad record for renal disorders. 159 0:16:23 --> 0:16:27 So I just wanted to take a closer look at this drug. 160 0:16:27 --> 0:16:39 So I went and looked at tenofovir on its own and I used the entire Udra Vigilance database to filter it just for tenofovir. 161 0:16:39 --> 0:16:45 So I isolated that drug and then I counted the frequency of every symptom. 162 0:16:45 --> 0:16:55 In the records for that drug, and I divided that by the total number of records for that drug to get the percentage of the reports with each symptom. 163 0:16:55 --> 0:17:05 And this is what came up. And it was a real, really a bit of a shocker, because when you look at the symptoms for tenofovir, you notice, yes, you notice kidney injury. 164 0:17:05 --> 0:17:16 You notice renal injury, renal failure, acute kidney injury, renal impairment, nephropathy, which are all associated with which are all kidney disorders. 165 0:17:16 --> 0:17:30 But what you also notice is bone density decreased osteonecrosis, skeletal injury, bone loss, multiple fractures, osteoporosis and tooth loss and. 166 0:17:31 --> 0:17:33 Tooth injury and more fractures. 167 0:17:33 --> 0:17:38 And when you go down the list, you find it just goes on and on. 168 0:17:38 --> 0:17:51 Bone density abnormal foot fracture, bone disorder, bone demyelination, ankle fracture, osteoarthritis, tooth fracture, alfragia, rib fracture, hand fracture, wrist fracture. 169 0:17:51 --> 0:17:57 This drug is amazing because it literally destroys every bone in your body. 170 0:17:57 --> 0:18:02 It's not like this is like the atomic bomb against the skeleton. 171 0:18:02 --> 0:18:06 It's it's not just causing one bone to get fractured. 172 0:18:06 --> 0:18:10 It's hitting every bone. It's hitting all the teeth. 173 0:18:10 --> 0:18:15 It's it's causing them to disintegrate. It's causing them to fracture. 174 0:18:15 --> 0:18:19 It's causing them to break. Doesn't matter how strong you are. 175 0:18:19 --> 0:18:23 If your skeleton is reduced by this drug, you're. 176 0:18:23 --> 0:18:31 You are you can't apply any strength of your muscles because it will just fracture or destroy your bone. 177 0:18:31 --> 0:18:40 And yet this is the family of drugs that Fauci and his regime have been pushing onto America. 178 0:18:40 --> 0:18:45 This is what we've got to realize these people, these people. 179 0:18:45 --> 0:18:52 Hmm. Going down a bit further, wrist fracture, hip fracture, osteomalacia, hip. 180 0:18:52 --> 0:18:56 It just goes on and on. Bone pain, low. 181 0:18:56 --> 0:19:03 Lone fracture, spinal fracture. It hits every single bone and it's incredible. 182 0:19:03 --> 0:19:08 Spinal fracture, upper limb vertebrae, disc femur, dental caries, tibia fracture. 183 0:19:08 --> 0:19:18 It just goes on. There's no other drug like this one that causes this amount of disorder in bone. 184 0:19:18 --> 0:19:21 And as I said, it's the odd connection, the odd connection. 185 0:19:21 --> 0:19:32 It began in 1980 with. The HIV outbreak fought exactly 40 exactly 40 years before Covid 186 0:19:32 --> 0:19:36 when they erected that monument in Georgia called the Georgia Guidestone, 187 0:19:36 --> 0:19:43 which listed the Ten Commandments for a new age where the population would only be 500 million. 188 0:19:43 --> 0:19:53 That's when it started. That same year, the HIV began and Fauci was there to treat it with the with 189 0:19:53 --> 0:20:03 antiretroviral drugs. And 40 years later, we have the Covid pandemic and Fauci is treating it with the same family of drugs, 190 0:20:03 --> 0:20:06 causing the same amount of fatality. 191 0:20:06 --> 0:20:13 So over that 40 years, how many people infected with HIV actually died from HIV? 192 0:20:13 --> 0:20:22 How many people who who had HIV have actually died from it or have they died from the horrible protocols 193 0:20:22 --> 0:20:27 that have been pushed on them and told it was the HIV that caused it? 194 0:20:32 --> 0:20:39 OK, now quickly, this is a quick one. We now have the first four releases of data for VSA. 195 0:20:39 --> 0:20:43 And I've analyzed the data to determine which symptoms occur with the highest frequency. 196 0:20:43 --> 0:20:48 We have one million so far, one million people. 197 0:20:48 --> 0:20:56 We have the data on one million people who have input their observations into VSA. 198 0:20:56 --> 0:21:00 We have one million people so far. That's only from four releases. 199 0:21:00 --> 0:21:04 We're due to have probably another. 200 0:21:08 --> 0:21:15 Another eight times this, because the total number of people is about 10 million that actually contributed to VSA. 201 0:21:15 --> 0:21:21 So we've got about eight times, which means we've got about another maybe up to about 40 more releases. 202 0:21:21 --> 0:21:29 So we've only had four so far, but we can analyze the data and I've analyzed it and 203 0:21:29 --> 0:21:39 we can see, for example, that four point two percent of the people in VSA had chest pain. 204 0:21:39 --> 0:21:43 Four point two percent of the people had chest pain. 205 0:21:43 --> 0:21:46 One percent had an increased heart rate. 206 0:21:46 --> 0:21:51 You can see pericarditis, myocarditis, palpitations. 207 0:21:51 --> 0:21:55 Four point two percent had headaches. 208 0:21:55 --> 0:22:00 Four, five percent had severe fatigue. 209 0:22:00 --> 0:22:06 Interestingly, about one point two percent, one point four percent had numbness and tingling, 210 0:22:06 --> 0:22:12 which I believe is caused by restriction of blood flow to organs. 211 0:22:12 --> 0:22:22 It's like when you get dead arm, except they had it in different parts of the body, sometimes in a lot of areas of the body. 212 0:22:22 --> 0:22:29 There are other observations as well, like there was a massive incidence of hives, of herpes, 213 0:22:29 --> 0:22:38 of shingles in the vaccinated population that reported to VSA. 214 0:22:38 --> 0:22:43 All this information is on the howbad.info website. 215 0:22:43 --> 0:22:50 I've put in all the analyses on the home page so you can see it quite easily. 216 0:22:50 --> 0:23:01 I've also put the report, the reports on remdesivir and tenovir and ritonavir and tamiflu. 217 0:23:01 --> 0:23:05 It's all on the home page at the top, so it's easy to find. 218 0:23:05 --> 0:23:13 And I've also put all the medical and clinical references that go with these reports. 219 0:23:13 --> 0:23:15 For example, this is the kind of thing I've covered. 220 0:23:15 --> 0:23:17 You'll find it on the home page. 221 0:23:17 --> 0:23:23 For VSA, you have index, which covers all the statistics. 222 0:23:23 --> 0:23:29 And then you have each symptom has its own report, 223 0:23:29 --> 0:23:37 which tells you exactly what percentage of the vaccinated population in VSA had these symptoms. 224 0:23:37 --> 0:23:38 And you can find out more. 225 0:23:39 --> 0:23:50 But I fully support John Bedoyne's findings that the protocols used to 226 0:23:50 --> 0:23:59 as antivirals against Covid would have had a devastating effect on the population in America, 227 0:23:59 --> 0:24:06 especially remdesivir and paxlovid and tamiflu. 228 0:24:07 --> 0:24:08 And there are others as well. 229 0:24:08 --> 0:24:16 And if John wishes to give me a list of the drugs that have been used, 230 0:24:16 --> 0:24:24 I can send a full report on each drug with exact statistics, 231 0:24:24 --> 0:24:35 which may help so that people can see in the clear light of day the state of what's going on. 232 0:24:35 --> 0:24:39 It doesn't look like personal corruption to me. 233 0:24:39 --> 0:24:43 It looks more like it obviously is personal corruption, 234 0:24:43 --> 0:24:51 but it looks like an attack on people even when there's nothing much to gain for the individual. 235 0:24:51 --> 0:24:55 So, yeah, I just want to help. 236 0:24:55 --> 0:25:02 And all the information is on howbad.info, which is all there. 237 0:25:02 --> 0:25:06 And I welcome people to download stuff in case I get taken down. 238 0:25:06 --> 0:25:10 So just download it and spread it around. 239 0:25:10 --> 0:25:20 And in response to Andrew Bridgen's valiant attempt at trying to make change in the UK, 240 0:25:20 --> 0:25:25 all I can say is that change will come from the bottom up, not from the top down. 241 0:25:25 --> 0:25:30 The top down is just 100% corrupted. 242 0:25:30 --> 0:25:32 The change will come from the bottom up. 243 0:25:32 --> 0:25:43 So spreading this information around will raise awareness before what Andrew Bridgen fears comes to pass. 244 0:25:43 --> 0:25:51 Because once, as he said, Stammer gets in, we're going to face all kinds of authoritarianism. 245 0:25:51 --> 0:25:56 If we can carry on just spreading information to the public, 246 0:25:56 --> 0:26:02 then if the public says no, or a critical percentage of it says no, 247 0:26:02 --> 0:26:07 it's going to alleviate much of the atrocities that would otherwise happen. 248 0:26:07 --> 0:26:13 So we're doing a great job just by telling people each day and spreading information. 249 0:26:13 --> 0:26:17 Because it's the only way is to wake people up. 250 0:26:17 --> 0:26:25 Waking people up is all that matters, not trying to trying to decorrupt authoritarian leaders. 251 0:26:25 --> 0:26:27 That's just not going to happen. 252 0:26:27 --> 0:26:33 Wake people up and you will create the revolution that you want. 253 0:26:33 --> 0:26:38 And the way to do that is to show them the truth about what's been done to them. 254 0:26:38 --> 0:26:44 So remembering what's happened in the past three years is really important. 255 0:26:44 --> 0:26:48 Even though people say it's over, remembering it is really important. 256 0:26:48 --> 0:26:50 And sharing it is really important. 257 0:26:50 --> 0:26:53 If you can wake people up. 258 0:26:53 --> 0:26:58 Well said. Well said, Craig. That is our job to wake them up. 259 0:26:58 --> 0:27:01 Do you want to stop your screen share now? 260 0:27:01 --> 0:27:03 Yep. So that's that done. 261 0:27:03 --> 0:27:08 So let's go to this one. Stop share. 262 0:27:08 --> 0:27:09 Yeah. Beautiful. 263 0:27:09 --> 0:27:15 All right, Craig. Excellent thinking. Excellent message. 264 0:27:15 --> 0:27:19 Stephen, we've got half an hour left basically. We've got three hands up. 265 0:27:19 --> 0:27:23 Do you want to go first, Stephen, and then we'll get to Albert? 266 0:27:23 --> 0:27:33 Yes, I'm going to donate my questions to Albert and John Bodwin and Josephine. 267 0:27:33 --> 0:27:34 Is it? Yeah, it is Josephine. 268 0:27:34 --> 0:27:35 Yeah. Yep. 269 0:27:35 --> 0:27:39 So did you I just wanted to ask one thing of Craig, though. 270 0:27:39 --> 0:27:45 Did you have time to say what you wanted to say tonight, Craig? 271 0:27:45 --> 0:27:47 Yes, I did. 272 0:27:47 --> 0:27:52 I said it a bit quickly, but I think I've said enough. 273 0:27:52 --> 0:27:56 All right. If you need more time or if you have something new, let me know. 274 0:27:56 --> 0:27:59 So Charles, go ahead. 275 0:27:59 --> 0:28:01 Very good. Well done, Craig. 276 0:28:01 --> 0:28:05 OK, Albert, too, we've got two whiz kids here on analysis. 277 0:28:05 --> 0:28:08 Analyses. Let's go, Albert. 278 0:28:08 --> 0:28:11 Yeah, thank you. And thank you, Craig. 279 0:28:11 --> 0:28:15 So I just proposed a couple of questions and with regards to the udra vigilance, 280 0:28:15 --> 0:28:23 I was wondering if you had seen found the the deaths where they're saying 281 0:28:23 --> 0:28:27 the covid jab is committing to some other medication like remdesivir, 282 0:28:28 --> 0:28:30 like all those other ones that you mentioned. 283 0:28:30 --> 0:28:33 Are you seeing those? Are you counting those up? 284 0:28:34 --> 0:28:37 Albert, the words committed. 285 0:28:37 --> 0:28:38 Yeah, that's the word. 286 0:28:38 --> 0:28:40 Not easy to say, unless you're British. No. 287 0:28:40 --> 0:28:41 I actually. 288 0:28:41 --> 0:28:47 When I analyzed the udra vigilance, what I deliberately did from the outset 289 0:28:47 --> 0:28:51 was I filtered out all records where there were multiple drugs 290 0:28:51 --> 0:28:52 associated with a symptom. 291 0:28:52 --> 0:28:56 I only wanted one drug associated with one symptom, 292 0:28:56 --> 0:29:00 so I could draw conclusions about the causality. 293 0:29:00 --> 0:29:04 If you have like 10 drugs or someone on 10 drugs and then you have a selection 294 0:29:04 --> 0:29:07 of symptoms, it kind of muddies the water a bit. 295 0:29:07 --> 0:29:09 You can actually do a lot of things. 296 0:29:09 --> 0:29:10 It kind of muddies the water a bit. 297 0:29:10 --> 0:29:13 You can actually use a computer to analyze that kind of thing 298 0:29:14 --> 0:29:17 to actually determine the percentage contribution of each drug 299 0:29:17 --> 0:29:19 to a particular outcome. 300 0:29:19 --> 0:29:20 But I didn't want to do that initially. 301 0:29:20 --> 0:29:29 So what I've done to get the 26 million records of one drug to one symptom, 302 0:29:30 --> 0:29:34 I actually filtered it so that we have just one drug to one symptom. 303 0:29:35 --> 0:29:38 And then we got one drug to another symptom, 304 0:29:38 --> 0:29:39 one drug to another symptom. 305 0:29:39 --> 0:29:45 And that way I can say, OK, so this drug really does look like it's 306 0:29:45 --> 0:29:47 associated strongly with that symptom. 307 0:29:48 --> 0:29:53 So that's what and I haven't got round yet, Albert, to actually. 308 0:29:55 --> 0:30:05 Using comorbidities and also looking at what you would call associations like 309 0:30:05 --> 0:30:11 what deaths were associated with Covid or also associated with a particular drug. 310 0:30:12 --> 0:30:17 All I can say is that the drugs that I've only looked at so far, 311 0:30:17 --> 0:30:26 Remdesivir, Paxilovid and Tamiflu, they are associated with serious injury, 312 0:30:26 --> 0:30:30 which would have increased the probability of death, obviously, 313 0:30:30 --> 0:30:34 because they cause poisoning of the system. 314 0:30:36 --> 0:30:42 OK, while you will find thousands of extra Covid deaths 315 0:30:42 --> 0:30:47 where the Covid jab was concomitant to the other medications. 316 0:30:47 --> 0:30:53 The other thing I was wondering if you saw that the symptom is some form of death, 317 0:30:53 --> 0:30:59 but the outcome, they don't have it checked off as fatal or or basically death. 318 0:30:59 --> 0:31:05 So these are basically on more uncounted deaths in uter vigilance. 319 0:31:06 --> 0:31:10 Much like in VAERS, where it's clearly documented that it's 320 0:31:10 --> 0:31:15 it's a death in the summary narrative, it's just the box is not checked off as died. 321 0:31:15 --> 0:31:19 So it doesn't officially get counted as a death. 322 0:31:20 --> 0:31:22 So I just throw that out there. 323 0:31:22 --> 0:31:25 But the other thing was the V-safe. 324 0:31:25 --> 0:31:30 Did you happen to see the 172,000 adolescent reports that are in V-safe? 325 0:31:31 --> 0:31:36 And, you know, going back to Dell and Aaron Seary, 326 0:31:36 --> 0:31:42 they pointed out that only the 10,000 deaths of kids three and under. 327 0:31:43 --> 0:31:48 And I, you know, I sent I I reached out to ICANN 328 0:31:48 --> 0:31:51 whistleblower and tried to get him the message like, hey, Aaron, 329 0:31:51 --> 0:31:54 you know, have your IT guys filter on the relationship field. 330 0:31:54 --> 0:31:59 It clearly says guardian of an adolescent. 331 0:31:59 --> 0:32:02 And that's where, you know, when you filter on that, 332 0:32:02 --> 0:32:07 you find that there's 172,000 reports of adolescents. 333 0:32:09 --> 0:32:15 And just as a side note, there's only 80,000 deaths in the VAERS report 334 0:32:15 --> 0:32:19 in the VAERS system that are basically adolescents or or or people 335 0:32:19 --> 0:32:22 under 18 years of age. 336 0:32:22 --> 0:32:23 So I thought it was a big deal. 337 0:32:23 --> 0:32:26 But you're saying it's interesting. 338 0:32:26 --> 0:32:28 Yeah, it's interesting. 339 0:32:28 --> 0:32:30 With huge manipulants, they don't actually 340 0:32:31 --> 0:32:35 they don't categorize age the same way as VAERS, as you know. 341 0:32:35 --> 0:32:39 They actually make 18 to 64 as a single category, 342 0:32:39 --> 0:32:44 and they do not reveal the age of the person within the 18 to 64 category. 343 0:32:44 --> 0:32:49 And the reason why they do that is to cover up the age related 344 0:32:50 --> 0:32:53 effects, which are massive, as we've seen in VAERS. 345 0:32:53 --> 0:32:54 Yeah, I'm familiar with that. 346 0:32:54 --> 0:32:57 But I was talking about V-safe. 347 0:32:57 --> 0:32:58 You analyze V-safe. 348 0:32:58 --> 0:33:03 Have you seen the 172,000 adolescents in V-safe? 349 0:33:06 --> 0:33:09 I haven't analyzed age related 350 0:33:11 --> 0:33:15 statistics there yet, because I've only I've just been looking at drug 351 0:33:15 --> 0:33:19 and reaction drug and reaction rather than looking at age. 352 0:33:19 --> 0:33:20 But I will look at age. 353 0:33:20 --> 0:33:22 Definitely. It's got to happen. 354 0:33:22 --> 0:33:24 There's going to be so many reports out. 355 0:33:25 --> 0:33:26 So bless you, Craig. 356 0:33:26 --> 0:33:30 I just throw that out there on your on your honeydew list then. 357 0:33:31 --> 0:33:32 Thank you. Yeah, for sure. 358 0:33:32 --> 0:33:35 Thanks. Thanks for reminding me. 359 0:33:35 --> 0:33:39 Well done, Albert. Well done. Great work, Josephine. Welcome. 360 0:33:47 --> 0:33:49 Thank you. Can you hear me? 361 0:33:49 --> 0:33:51 Yep. Yep. Yes. 362 0:33:51 --> 0:33:53 Good evening to you all. 363 0:33:53 --> 0:33:56 I just wanted to make some quick observations 364 0:33:56 --> 0:33:59 based on the conversation that we're having. 365 0:33:59 --> 0:34:02 I am speaking on behalf of Act for Your Freedom, 366 0:34:03 --> 0:34:06 which is there in Europe. 367 0:34:06 --> 0:34:12 And with regard to the conversation, first off, I'd like to say 368 0:34:12 --> 0:34:16 those that have taken the jab and have health issues. 369 0:34:18 --> 0:34:21 I use a post vaccination protocol. 370 0:34:21 --> 0:34:25 I am a naturopathic consultant, 371 0:34:26 --> 0:34:31 and I have addressed these issues and many more 372 0:34:32 --> 0:34:36 through the use of natural medicine, naturopathic and homeopathic 373 0:34:38 --> 0:34:43 herbals and botanicals that are far better in my estimation 374 0:34:43 --> 0:34:48 than any medication that, you know, at this point is very untrustworthy 375 0:34:48 --> 0:34:52 during the time of Covid and beyond, because at this point, 376 0:34:52 --> 0:34:55 it's very difficult to know who to trust. 377 0:34:55 --> 0:34:58 And so I have I have gotten much better results 378 0:34:59 --> 0:35:01 with integrative and natural medicine. 379 0:35:01 --> 0:35:03 I'm not saying we don't need it. I think we need all of it. 380 0:35:04 --> 0:35:08 But for chronic problems, for everyday issues, 381 0:35:09 --> 0:35:11 there's there's no better than natural medicine. That's number one. 382 0:35:13 --> 0:35:16 And so if you know anyone that has been injured, a vaccine injured, 383 0:35:17 --> 0:35:20 they need to be on my post vaccination protocol. 384 0:35:21 --> 0:35:26 What I've also seen in testing those that have been forced 385 0:35:26 --> 0:35:30 to receive the job because they work in hospitals or whatnot. 386 0:35:31 --> 0:35:34 In many individuals, I've seen 387 0:35:34 --> 0:35:38 the accumulation of blood clots or blood clots that were forming, as well as 388 0:35:40 --> 0:35:45 a I want to say a prevalence for myocarditis. 389 0:35:47 --> 0:35:50 However, like I said, there are there are many things that we can do 390 0:35:50 --> 0:35:54 preventative and also to build up the immune system, 391 0:35:54 --> 0:35:58 as well as, like I said, using a post vaccination protocol. 392 0:35:58 --> 0:36:01 Now, also in the individuals that I've tested 393 0:36:02 --> 0:36:06 that have received these jabs from Moderna, 394 0:36:06 --> 0:36:09 Pfizer, Johnson and Johnson, 395 0:36:10 --> 0:36:14 in every one of them, I haven't seen the same. 396 0:36:14 --> 0:36:18 How should I say the same ingredients or 397 0:36:20 --> 0:36:24 what when even within the fire, the Pfizer job, I've seen 398 0:36:25 --> 0:36:28 different combinations of things 399 0:36:28 --> 0:36:31 that were different in every individual that what. 400 0:36:31 --> 0:36:35 So what I'm saying is that the Jets were not they're not equivalent. 401 0:36:35 --> 0:36:38 They they they they put different ingredients in them. 402 0:36:38 --> 0:36:41 At least that's what I saw for my testing. 403 0:36:41 --> 0:36:46 The other thing is that I feel like we're chasing after the symptom 404 0:36:46 --> 0:36:49 rather than go to the root cause, expose it. 405 0:36:49 --> 0:36:51 I think we need to do more lobbying. 406 0:36:51 --> 0:36:53 I think we need to do more work in activism. 407 0:36:54 --> 0:36:56 We can't be waiting for the next tragedy. 408 0:36:56 --> 0:36:59 We need to we need to basically stop the damage 409 0:36:59 --> 0:37:02 and then prevent it from continuing. 410 0:37:02 --> 0:37:06 And I know that sounds very like an easy thing to say and a difficult thing to do. 411 0:37:07 --> 0:37:10 But we need to start having the parameters and the 412 0:37:11 --> 0:37:13 the objectives in mind to be able to do that. 413 0:37:14 --> 0:37:17 For example, there are many ways that we're being poisoned. 414 0:37:18 --> 0:37:20 Josephine Point taken. 415 0:37:20 --> 0:37:21 Make another point, and then we're going to get moved. 416 0:37:21 --> 0:37:24 We're finishing in 15 minutes. 417 0:37:24 --> 0:37:26 Oh, OK. So I just wanted to mention the Milky Skies. 418 0:37:27 --> 0:37:29 We are being sprayed like bugs. 419 0:37:29 --> 0:37:30 We need to stop that. 420 0:37:30 --> 0:37:32 The other thing is 421 0:37:33 --> 0:37:37 the other thing I want to talk about is, you know, election integrity. 422 0:37:37 --> 0:37:40 In the United States, we have something called poll watches 423 0:37:40 --> 0:37:41 that that people can volunteer to do. 424 0:37:43 --> 0:37:48 And we need to stop the use of these computers, these Dominion computers. 425 0:37:48 --> 0:37:53 I think paper ballots are a better way that can be overseen a lot more easily. 426 0:37:54 --> 0:37:57 You know, and with regard to Trump, I voted for Trump. 427 0:37:58 --> 0:38:02 However, we have a very, you know, at this point, Americans, 428 0:38:02 --> 0:38:04 we're not all that stupid. 429 0:38:05 --> 0:38:08 We realize that we don't really have much of a choice at this point 430 0:38:08 --> 0:38:13 because there are many other people running and we don't even know about who they are. 431 0:38:13 --> 0:38:15 They're not allowed to be part of the debate. 432 0:38:16 --> 0:38:20 But, you know, listen, Trump is no angel either. 433 0:38:20 --> 0:38:24 At this point, you know, we know that Biden's demented 434 0:38:24 --> 0:38:26 and he's not running a show, but neither is Trump. 435 0:38:28 --> 0:38:30 These are people that are put in place. 436 0:38:30 --> 0:38:33 And as much as I do feel that Trump has done some good things, 437 0:38:33 --> 0:38:35 he also has done some bad things. 438 0:38:35 --> 0:38:37 OK, I'll take that as a comment. 439 0:38:37 --> 0:38:39 This is we've done time for time on commentary. 440 0:38:39 --> 0:38:42 Josephine, can you put your protocol into the chat if you want to share it? 441 0:38:43 --> 0:38:45 Thank you, Josephine. 442 0:38:45 --> 0:38:47 John, then Celia. 443 0:38:49 --> 0:38:54 Yeah, what a coincidence from my rant to Greg's ears and then his presentation. 444 0:38:56 --> 0:38:59 Greg, if you want to do something this week, 445 0:38:59 --> 0:39:02 you can jump in with Ed, Dad and me. 446 0:39:02 --> 0:39:07 And I was hoping somebody in Europe would do something, but they're kind of busy right now. 447 0:39:08 --> 0:39:13 If anybody does N1-7 in Europe and does not find what I found here. 448 0:39:14 --> 0:39:17 Then it shows it can't be COVID, right? 449 0:39:18 --> 0:39:22 Can't be COVID, because why would COVID kill in a different manner there than here? 450 0:39:22 --> 0:39:25 It's the same disease and we're all humans. 451 0:39:25 --> 0:39:28 So if you find the curves look different there 452 0:39:29 --> 0:39:33 in terms of when certain drugs were prescribed, you'll see a difference. 453 0:39:33 --> 0:39:37 So feel free to reach out to me if you want to do something this week, 454 0:39:37 --> 0:39:41 if you want to release something concomitant with what we do, 455 0:39:43 --> 0:39:45 then that's great. Thank you for your work. 456 0:39:46 --> 0:39:48 Thank you. Well said, John. 457 0:39:50 --> 0:39:52 Great work indeed by Craig. Celia. 458 0:39:52 --> 0:39:58 Craig, I just want to say you have no idea how right you are in everything you said. 459 0:39:58 --> 0:40:03 And I've been waiting for somebody to put it so succinctly as you did. 460 0:40:03 --> 0:40:08 I am a surviving member of a mostly extinct tribe of fighters 461 0:40:08 --> 0:40:15 that were once known as the AIDS dissidents or by our enemies, HIV deniers. 462 0:40:16 --> 0:40:20 And this was a war that was, it's been largely erased from the war. 463 0:40:21 --> 0:40:25 It's been largely erased from history, but I can send you all the relevant links 464 0:40:25 --> 0:40:27 and you'll find everything you said. 465 0:40:27 --> 0:40:31 Chapter and verse broke out in 1987. 466 0:40:32 --> 0:40:34 The first drug they launched for. 467 0:40:35 --> 0:40:41 Against HIV positive people, which meant nothing in terms of whether somebody 468 0:40:41 --> 0:40:45 could expect to get sick or not, was AZT. 469 0:40:45 --> 0:40:50 AZT, Taretogen, mutagen, carcinogen, one of probably the most, 470 0:40:50 --> 0:40:54 maybe the most toxic drug ever offered to human beings. 471 0:40:55 --> 0:41:00 They all, Fauci raised the dose to 1800 milligrams, 472 0:41:00 --> 0:41:04 which was a dose that killed quickly. 473 0:41:04 --> 0:41:08 People even melted, their faces melted. 474 0:41:09 --> 0:41:12 And then what they did is so breathtaking. 475 0:41:12 --> 0:41:20 Fauci, first he expanded AZT to anybody who was HIV positive, but not symptomatic. 476 0:41:21 --> 0:41:23 And we were all screaming bloody murder. 477 0:41:23 --> 0:41:30 And we had against us the entirety of the AIDS activist community, so-called act up 478 0:41:30 --> 0:41:34 that whole gang, Hollywood media, you name it. 479 0:41:35 --> 0:41:39 Everybody actually, there was a cult around AZT. 480 0:41:39 --> 0:41:41 You would not believe it, but we were called. 481 0:41:41 --> 0:41:43 And we're talking now late 80s. 482 0:41:43 --> 0:41:46 We were called AZT refusenix. 483 0:41:46 --> 0:41:52 And they said AZT was the only drug that could save people's lives and give people hope. 484 0:41:53 --> 0:41:58 So what Fauci did, he expanded it first with the lower dose. 485 0:41:59 --> 0:42:03 Then they rolled out the cocktail therapies as they came to be known, 486 0:42:03 --> 0:42:10 the protease inhibitors with a big cover story by Andrew Sullivan in New York Magazine. 487 0:42:11 --> 0:42:17 Where they read the new op was you don't have to die from AIDS. 488 0:42:17 --> 0:42:23 You can take any number of a battery of drugs in cocktail formations, mixes. 489 0:42:24 --> 0:42:28 And this was based on what they called a mathematical model. 490 0:42:28 --> 0:42:30 Nevermind, it could get really intricate. 491 0:42:30 --> 0:42:31 I just want to tell you this part. 492 0:42:31 --> 0:42:32 This is very important. 493 0:42:34 --> 0:42:36 They rolled out a new class of drugs. 494 0:42:37 --> 0:42:44 And many of them after AZT, many of them had this VIR on the end. 495 0:42:44 --> 0:42:49 And David Rasnick, who's a friend here and has presented here, 496 0:42:50 --> 0:42:53 has put there are talks online. 497 0:42:53 --> 0:42:55 I'll try to put them in the chat before we close. 498 0:42:55 --> 0:42:59 Where he went down the list of all these drugs, many of which were on your list. 499 0:43:00 --> 0:43:06 And when I saw Remdesivir when COVID hit, I said, oh God, 500 0:43:06 --> 0:43:09 I saw Fauci and I saw that VIR. 501 0:43:09 --> 0:43:15 I didn't know that drug in particular, but it sounded exactly like all the lethal AIDS drugs. 502 0:43:15 --> 0:43:25 Now, the weird, weird thing about the HIV drugs is that they were almost literally worshiped. 503 0:43:25 --> 0:43:33 They were demanded by a vast community of HIV positive or not positive, 504 0:43:33 --> 0:43:39 mostly gay men who had been, I would say, inculcated and brainwashed to believe that 505 0:43:39 --> 0:43:43 these drugs meant the government loved them and wanted to save their lives. 506 0:43:44 --> 0:43:45 So I don't want to go on and on. 507 0:43:45 --> 0:43:48 I just want to say, if you're interested in pursuing this, 508 0:43:48 --> 0:43:51 I want to just give you everything you'll need, all the links, all the websites. 509 0:43:51 --> 0:43:57 So this is like a prehistory that you got so exactly right. 510 0:43:59 --> 0:44:01 And yeah, God bless you for your work. 511 0:44:03 --> 0:44:05 Well said, Celia. 512 0:44:05 --> 0:44:06 Well said. 513 0:44:07 --> 0:44:17 I found that the Uterovigilance data, because it covered all these drugs, 514 0:44:18 --> 0:44:22 which weren't covered in BEARS, because BEARS is only a vaccine database. 515 0:44:22 --> 0:44:30 So the horror story of other drugs besides vaccines was hidden inside the Uterovigilance 516 0:44:30 --> 0:44:31 database. 517 0:44:31 --> 0:44:40 And now that we have the data to analyze, we're finding very clear signals like for the 518 0:44:41 --> 0:44:50 antiretroviral drugs that caused HIV, which are used to treat HIV. 519 0:44:51 --> 0:44:58 They're also used to treat hepatitis and they're also used to treat influenza. 520 0:44:58 --> 0:45:04 So you can see how many people have been hurt by them, not just the HIV community. 521 0:45:06 --> 0:45:10 But hopefully bringing this awareness now to the American public 522 0:45:11 --> 0:45:15 in the aftermath of the COVID pandemic is really important. 523 0:45:16 --> 0:45:24 So I'll be very keen to work with you to bring all these strings together to show, 524 0:45:24 --> 0:45:29 to raise, to wake up more people, especially even the gay community, 525 0:45:30 --> 0:45:34 can wake them up, show them that what they worshiped. 526 0:45:34 --> 0:45:41 And what you're saying is actually interesting because with COVID, there was a sense of 527 0:45:42 --> 0:45:50 total surrender, a cult-like behavior towards COVID. 528 0:45:50 --> 0:45:51 It was very cult-like. 529 0:45:53 --> 0:46:01 Governments willing to destroy their own populations in obeisance to weird policies 530 0:46:02 --> 0:46:05 that completely wrecked their own economies. 531 0:46:05 --> 0:46:11 It was very cult-like, very worshipful, very kind of surrendering. 532 0:46:11 --> 0:46:17 And maybe this is in another way in which this is related to what happened in the 1980s. 533 0:46:18 --> 0:46:25 It's like a cult of death, a death cult, which relies on blind sheep 534 0:46:27 --> 0:46:33 who are also not just blind, but kind of advocates as well. 535 0:46:33 --> 0:46:35 It's very bizarre. 536 0:46:35 --> 0:46:40 And it's this 40-year period during which they wanted to reduce the population to 500 million. 537 0:46:41 --> 0:46:48 Yeah, it's something really, I feel like it's all related, but I want to work with you. 538 0:46:48 --> 0:46:55 We can raise the awareness of the public now is really a good time because they've just seen 539 0:46:55 --> 0:46:59 the total lies and disinformation put out by governments. 540 0:47:00 --> 0:47:07 This will show them that it's wider than vaccines. 541 0:47:07 --> 0:47:09 It covers other drugs too. 542 0:47:09 --> 0:47:14 So Craig, in my opinion, they fear among good populations around the world 543 0:47:16 --> 0:47:18 deliberately to create a cult. 544 0:47:20 --> 0:47:24 And the cult is a death cult, as you say, it's self-destructive. 545 0:47:25 --> 0:47:32 And they just needed to, they needed the psychology of human beings in crowds, if you like, 546 0:47:33 --> 0:47:42 to seek protection from the fear, from the object of the fear, in the case of the last four years, 547 0:47:42 --> 0:47:50 COVID-19 in the 80s, HIV positive, AIDS, whatever that was. 548 0:47:51 --> 0:47:56 And the cult does the rest and cults are very dangerous. 549 0:47:57 --> 0:47:58 All right, let's go. 550 0:47:58 --> 0:48:01 So Craig, Craig wants to work with you. 551 0:48:01 --> 0:48:04 Vice versa, Stephen will put you guys in touch. 552 0:48:05 --> 0:48:11 And you're not in touch with each other, Craig and Celia. 553 0:48:12 --> 0:48:13 Not yet. 554 0:48:13 --> 0:48:13 No. 555 0:48:14 --> 0:48:16 All right, Stephen, there's your next job. 556 0:48:16 --> 0:48:18 All right, two quick questions and we're finished. 557 0:48:18 --> 0:48:19 You're a brilliant writer. 558 0:48:19 --> 0:48:25 You can maybe turn, you're a wordsmith, as you said yourself, 559 0:48:25 --> 0:48:29 well, not about yourself, but you're a wordsmith and we need wordsmiths to create 560 0:48:30 --> 0:48:32 stories which have an impact with human beings. 561 0:48:32 --> 0:48:39 And you need to get hold of what Craig is saying and convert it into maybe children's stories, 562 0:48:39 --> 0:48:41 you know, because the adults are children now. 563 0:48:43 --> 0:48:44 That's right. 564 0:48:45 --> 0:48:47 All right, let's go to two more questions. 565 0:48:47 --> 0:48:50 Ten minutes, Glenn and then Jim and then Stephen to finish. 566 0:48:51 --> 0:48:56 Yeah, I'd like to raise up something that Andrew brought up and that is around the worst case. 567 0:48:57 --> 0:49:02 Jerome, if you're there, could you at least say something so you can respond about a question? 568 0:49:03 --> 0:49:11 And the urgency that this is, if I heard Andrew correct, he said that if people could be working 569 0:49:11 --> 0:49:16 at different things, but if something isn't done in a significant way before September, 570 0:49:16 --> 0:49:16 it's too late. 571 0:49:17 --> 0:49:19 That's eight weeks away. 572 0:49:20 --> 0:49:21 We do not have much time. 573 0:49:21 --> 0:49:23 We have all this action going on this week. 574 0:49:24 --> 0:49:29 We have the Democratic Party in chaos because they don't know what to do with their next move 575 0:49:29 --> 0:49:34 around either their nominee or even who's the president in several weeks. 576 0:49:35 --> 0:49:39 So this is the time where we have the ability to put together people, 577 0:49:39 --> 0:49:44 the Jerome as a team, Andrew as a team, the group I work with, the Civil Defense Net, 578 0:49:44 --> 0:49:46 and the Department of Defense. 579 0:49:47 --> 0:49:52 We have the ability to rally these and to put them together and to join them in the hand of God. 580 0:49:52 --> 0:49:55 And I think this is the moment and we should be making sure this happens. 581 0:49:55 --> 0:49:56 Are you there, Jerome? 582 0:49:57 --> 0:49:58 I'm here and if you... 583 0:49:59 --> 0:50:00 Here's my email. 584 0:50:00 --> 0:50:03 Let's connect because I'd like to connect with your group. 585 0:50:05 --> 0:50:06 It's right here. 586 0:50:06 --> 0:50:09 I'm just putting in an email right now and I agree with what you're saying. 587 0:50:10 --> 0:50:15 We don't have much time, but I think we can bring some important suits to say that the 588 0:50:16 --> 0:50:21 state voter registration databases are not fit for an election to occur. 589 0:50:22 --> 0:50:24 Yeah, there's three giant weapons they have. 590 0:50:24 --> 0:50:28 They have voter fraud, they have weapons of mass destruction with nuclear, 591 0:50:28 --> 0:50:31 and then I'm calling it weapons of small terror cells. 592 0:50:32 --> 0:50:35 And they could unleash all three of those simultaneously or 593 0:50:36 --> 0:50:37 and they're all massive. 594 0:50:38 --> 0:50:39 And a pandemic and a new vaccine. 595 0:50:39 --> 0:50:44 And we could do all of these and the terror cells have been let through into the border. 596 0:50:44 --> 0:50:48 They're certainly here and we can see terrorist attacks occur at any day. 597 0:50:48 --> 0:50:50 So let's coordinate. 598 0:50:51 --> 0:50:52 You've got my email there. 599 0:50:52 --> 0:50:55 Just email me tonight or in the morning and we'll start. 600 0:50:57 --> 0:51:02 We're going to try to get the suits out on the states to block the voting from occurring until 601 0:51:02 --> 0:51:07 these the state voter record registration databases are examined for algorithms. 602 0:51:07 --> 0:51:11 We're going to try to launch a set of different lawsuits to get that to happen. 603 0:51:13 --> 0:51:13 Thanks, Glenn. 604 0:51:14 --> 0:51:16 You've got the Jerome's email. 605 0:51:16 --> 0:51:17 Over to you. 606 0:51:17 --> 0:51:19 Jim, last questions. 607 0:51:20 --> 0:51:22 Hey, thank you very much. 608 0:51:24 --> 0:51:29 Number one, Craig, are you aware of the remdesivir protocols that were used 609 0:51:31 --> 0:51:38 or the outline for the protocols where they stop any medication for 24 hours and then give 610 0:51:38 --> 0:51:39 remdesivir? 611 0:51:42 --> 0:51:48 In fact, their protocols allowed people to be given hydroxychloroquine, 612 0:51:48 --> 0:51:55 which has a half life of 22 days, then stop the hydroxychloroquine for 24 hours, 613 0:51:55 --> 0:51:59 be given the remdesivir and then declare victory for remdesivir. 614 0:51:59 --> 0:52:04 Are you aware of their protocols that allowed for that type of treatment? 615 0:52:06 --> 0:52:07 No, I wasn't aware of that. 616 0:52:09 --> 0:52:15 I encourage you to take a close look at that because the nurses in New York and New Jersey 617 0:52:15 --> 0:52:19 were saying that they were doing, the hospitals were doing specifically that. 618 0:52:20 --> 0:52:25 Giving hydroxychloroquine, stopping it for 24 hours, switching people to remdesivir, 619 0:52:25 --> 0:52:32 and then declaring victory for remdesivir, understanding that the only thing that they 620 0:52:32 --> 0:52:35 said remdesivir did was decrease hospital stay by two or three days. 621 0:52:36 --> 0:52:37 Okay, so that was one point. 622 0:52:37 --> 0:52:41 The other point is, this is very valuable work, but the question is, 623 0:52:41 --> 0:52:46 what, how are you going to stop the kidney failure at this time? 624 0:52:47 --> 0:52:52 Is it just by withholding remdesivir and the other veer medications? 625 0:52:52 --> 0:52:57 Or is there some other treatment you can give besides hydration and stopping the fentanyl and 626 0:52:57 --> 0:53:03 the other medications that John Bodine put in chat and stopping the hospital protocols? 627 0:53:03 --> 0:53:07 And if so, have you analyzed who actually instituted the hospital protocols? 628 0:53:07 --> 0:53:10 And does it have anything to do with the GPOs, the group purchasing organizations? 629 0:53:11 --> 0:53:19 That actually bonus the CEOs of the hospitals up to a million dollars per year if they adhere 630 0:53:19 --> 0:53:24 to the protocols and things. Do you have any information on who actually did the protocols? 631 0:53:27 --> 0:53:34 I don't. I only look at the basic statistics in the uterovigilance, 632 0:53:34 --> 0:53:37 I saw. So that doesn't have that information in there. 633 0:53:38 --> 0:53:39 I can answer that. 634 0:53:42 --> 0:53:44 That's your answer to the question, Jim. Thank you. 635 0:53:44 --> 0:53:47 Last question, John, quick question before we go to Stephen to finish. 636 0:53:48 --> 0:53:52 I was just answering, Jim. If anybody goes right now, 637 0:53:55 --> 0:54:04 types in the COVID treatment recommendations, National Institutes of Health, 638 0:54:04 --> 0:54:09 you'll see beginning in April of 2020. That's when they added remdesivir. And then it goes 639 0:54:09 --> 0:54:14 all the way through to about five weeks ago. You'll see the COVID treatment, those are the 640 0:54:14 --> 0:54:21 protocols. That's where they put in remdesivir. And then the NCTAP, CMS.gov, 20% adder on November 641 0:54:21 --> 0:54:26 2nd. If you search on CMS.gov, NCTAP, look at the box, scroll down to the bottom, you'll see 642 0:54:26 --> 0:54:32 baricitinib and then you'll see veclery, which is remdesivir. And you'll see 20% adder. So if you do 643 0:54:32 --> 0:54:39 a million dollar ICU stay, it's $200,000 if you run remdesivir through their veins when they 644 0:54:39 --> 0:54:45 walk in the door. This was all done through solicitation. I'll stop now. I have a whole 645 0:54:45 --> 0:54:52 presentation. There's your answer, Jim. Thank you, John. Okay, Stephen, last questions to you. 646 0:54:52 --> 0:55:01 Thank you, Craig. You're excellent. Where has the Frostman gone? 647 0:55:01 --> 0:55:05 Stephen? 648 0:55:05 --> 0:55:08 I'm here. So I was talking and I didn't realize I was muted. 649 0:55:08 --> 0:55:09 Show us your face. 650 0:55:10 --> 0:55:16 Jim, do you know the answer to your own second question? Who is responsible for the protocols 651 0:55:16 --> 0:55:18 in America? Do you know? 652 0:55:18 --> 0:55:26 Well, I believe it's a combination of, as John Voden was pointing out, CMS and the FDA 653 0:55:27 --> 0:55:28 and the conglomeration. 654 0:55:28 --> 0:55:31 What CMS? Can you remind me what CMS is? 655 0:55:31 --> 0:55:38 Sorry, Centers for Medicare and Medicaid Services in combination with HHS OIG. 656 0:55:39 --> 0:55:44 What exactly is that CMS? Is that an insurance company or what? 657 0:55:45 --> 0:55:54 It is the government payment scheme for hospitals, basically. And maybe John can 658 0:55:54 --> 0:56:05 give more technical information. But yes, it's the government payer that decides that they pay 659 0:56:05 --> 0:56:09 85% of what a physician makes to a nurse practitioner or a physician assistant. 660 0:56:09 --> 0:56:14 It's the government payment scheme that decides that hospitals get paid much more than 661 0:56:14 --> 0:56:20 physicians' offices for doing the same procedure. Centers for Medicare and Medicaid Services. 662 0:56:21 --> 0:56:28 So the same people are responsible for creating the protocols? Is that what you're saying? 663 0:56:29 --> 0:56:34 That's the question. Exactly who put the protocols together and it seems like they 664 0:56:34 --> 0:56:41 do what they get paid for and they do what's FDA approved. So it is a conglomeration of the FDA, 665 0:56:41 --> 0:56:47 CMS and HHS, Health and Human Services. And the reason I say Office of Inspector General 666 0:56:47 --> 0:56:54 is because Office of Inspector General keeps the secret contracts or is supposed to oversee the 667 0:56:54 --> 0:57:02 secret contracts. And they are located coincidentally in the same building as Voice of America, 668 0:57:03 --> 0:57:09 330 Independence Southwest. So you say CMS, the FDA government essentially, but are there any 669 0:57:09 --> 0:57:15 doctors deciding these protocols? Are there any expert doctors in inverted commas who are 670 0:57:15 --> 0:57:21 deciding the protocols in America? The physician, are there physicians? The question is, is HHS-OIG 671 0:57:21 --> 0:57:31 a physician? No, he's not. HHS-OIG is a lawyer. It used to be Daniel Levinson in 2019 and now 672 0:57:31 --> 0:57:37 I'm not, there's a lady in charge. I'm not sure what her name is. All right, it escapes me right 673 0:57:37 --> 0:57:42 now, but I can put it later on. I can give it to you. So in your view, you're a doctor. So do you 674 0:57:42 --> 0:57:48 think that there are doctors advising or taking part in the formation of these deadly protocols? 675 0:57:49 --> 0:57:56 If Fauci is acting altruistically, then maybe Fauci is. I mean, I'm sure there are many of them, 676 0:57:56 --> 0:58:02 but the question is, are they actually analyzing the data and figuring out that these protocols and 677 0:58:02 --> 0:58:07 these medications are actually harmful at the biochemical level? So all the doctors in America who go 678 0:58:07 --> 0:58:14 through an enormously long training, even by British standards, they kind of 679 0:58:16 --> 0:58:25 don't feel responsibility at all for the contents of these protocols and they don't know who to 680 0:58:25 --> 0:58:30 complain to if they don't agree as a doctor. They have no view on the protocols, is that right? 681 0:58:32 --> 0:58:35 They do what they get paid for and if they don't do it, they get fired. 682 0:58:35 --> 0:58:39 Except that they should follow the protocols. So what happened in America? 683 0:58:39 --> 0:58:43 John wants to answer something. I'm sorry. So what happened in America, Jim? 684 0:58:45 --> 0:58:48 You're a doctor. So haven't you got a view? What happened? 685 0:58:49 --> 0:58:52 Sure, I think it was fraud. I think it was fraud and I think it was on the front. I think it was 686 0:58:52 --> 0:58:57 fraud at the level of the intelligence agencies. Why have doctors who went into medicine, presumably 687 0:58:58 --> 0:59:00 to help people, why have they gone along with this? 688 0:59:00 --> 0:59:06 I have a whole chapter in my book on this. 689 0:59:10 --> 0:59:16 Because they're being lied to and everybody and that's there. We, the physicians, we, 690 0:59:16 --> 0:59:19 the American people are being lied to and we're being lied to by- 691 0:59:21 --> 0:59:26 It should be obvious to any doctor that to absolve all responsibility for the protocols, 692 0:59:26 --> 0:59:30 which are probably bad in their view, maybe, is not right. 693 0:59:34 --> 0:59:38 Of course it's not. Come on, ask Craig questions. You're absolutely correct, Stephen, 694 0:59:38 --> 0:59:41 and we know that and you know, Jim's confirmed it and we all know it. 695 0:59:45 --> 0:59:48 There's a number of mistakes in this conversation. I just want to clear them up real quick. 696 0:59:48 --> 0:59:52 No, we haven't got time. John, in your presentation, you're going to do one. That's a good point, 697 0:59:52 --> 0:59:58 actually. Come on, unpack it. That's very good, Stephen. Make sure you get JB- 698 0:59:58 --> 1:00:04 John, Charles, can you give him half a minute or minutes and then let's see what John- John, 699 1:00:04 --> 1:00:10 can you do it in a minute? Yeah, sure. So protocols came from NIH. NIH is National Institutes, 700 1:00:10 --> 1:00:15 plural of health. NIAID is the National Institute Singular of Allergies and Infectious Disease 701 1:00:16 --> 1:00:23 with that Fauci headed that falls under the NIH, which also falls under HHS.gov. Okay. So the NIH 702 1:00:23 --> 1:00:29 created the protocols for this. Fauci is definitely involved. He is a doctor. So yeah, 703 1:00:29 --> 1:00:35 doctors created it. Now, why are doctors going on? Since 1992, evidence-based medicine has been 704 1:00:35 --> 1:00:40 drilled into the heads of every medical student in North America. It started out in Canada in the 705 1:00:40 --> 1:00:44 mid-60s through the Health Care Act. They pervaded all the medical schools from the 706 1:00:45 --> 1:00:50 University of McMaster University. They came up with it. They coined the term in 81. They pushed 707 1:00:50 --> 1:00:56 it out in research papers. And since 1992, every doctor defers to the literature rather than the 708 1:00:56 --> 1:01:00 patient front of them. So Stephen, you're older. You don't get it. You don't get what these guys 709 1:01:00 --> 1:01:06 have gone through. They're turned into robots. They prescribe whatever the system tells them to 710 1:01:06 --> 1:01:10 and they don't deviate from it. That's it. And they have no ethics. Clearly they have no- 711 1:01:11 --> 1:01:14 I mean, is it ethical if you don't know? They don't want to know. 712 1:01:16 --> 1:01:17 It's a cult then? 713 1:01:17 --> 1:01:18 Yes. 714 1:01:19 --> 1:01:22 Okay. Thanks, John. We got there in the end. All of us. 715 1:01:23 --> 1:01:24 Okay. 716 1:01:25 --> 1:01:32 Craig, sorry. You're the guest. So Craig, thank you so much for speaking to us. It's quarter to 717 1:01:32 --> 1:01:38 11 now. And I'm sorry that you didn't have much time for your presentation and for questions, 718 1:01:38 --> 1:01:42 but I hope if you need more time, just let me know because you can come on anytime. 719 1:01:44 --> 1:01:49 All right. Beautiful. Craig, great work on what you're doing. Albert, great work on your data 720 1:01:49 --> 1:01:54 analysis. Thanks everyone for being here. Tom Rodman has put the link into the video telegram 721 1:01:54 --> 1:02:00 meeting for those with the time. It's in the chat. There's an opportunity for those who have more 722 1:02:00 --> 1:02:06 time. Thank you so much for being here and we'll see you on Tuesday for those who can make it. 723 1:02:06 --> 1:02:08 Stephen, who's on Tuesday? 724 1:02:10 --> 1:02:14 It's, damn it, Manukian. 725 1:02:15 --> 1:02:16 Leslie Manukian. 726 1:02:16 --> 1:02:19 Oh, very good. Her law case. Very good. 727 1:02:20 --> 1:02:25 One last thing for Charles. Can I just say to Craig? It's very important, Craig, that people 728 1:02:25 --> 1:02:33 like you, I won't say what that is, but people like you follow your instincts. So don't be 729 1:02:33 --> 1:02:39 dissuaded from doing something that you think is important when your instincts tell you that it is 730 1:02:39 --> 1:02:48 important. So do you understand what I mean? Yeah, I think so. Excellent. Yeah. All right. 731 1:02:48 --> 1:02:54 Thank you, Craig. Thanks everybody. Big hugs. Thank you, Craig. Thanks everybody. Wonderful night. 732 1:02:56 --> 1:03:02 God bless. Bye-bye. Thanks, Charles, for moderating. Thanks. Thank you, Stephen. Thanks, everyone.