WEBVTT 00:26.789 --> 00:29.250 It is much more likely it's a lab leak. 00:33.452 --> 00:37.953 Viral phylogenists and molecular virologists would disagree with you. 00:38.373 --> 00:39.874 I believe it's a lab leak. 00:46.894 --> 00:59.544 In case you missed it, ladies and gentlemen, I was on Kim Iverson's show last night, which, when I woke up this morning, had 137,000 views, which doesn't really even seem to be possible. 01:00.285 --> 01:08.351 We're talking about several orders of magnitude more people have heard some of our work than probably have ever heard it before in the last four years. 01:09.602 --> 01:11.363 There's reason for hope. 01:11.443 --> 01:12.724 There's reason to get excited. 01:12.764 --> 01:15.065 The voice that you hear is that of Jonathan J. Cooey. 01:15.125 --> 01:17.827 I'm a biologist out of Pittsburgh, Pennsylvania. 01:18.327 --> 01:20.309 I'm coming to you live out of the back of my garage. 01:21.229 --> 01:23.270 Occasionally, you'll hear a little blower in the background. 01:23.290 --> 01:27.333 That's because there's still a heater in here, and it's actually cold this morning. 01:27.753 --> 01:36.559 You can find my academic work on the National Library of Medicine's website, PubMed, by using my last name and my first two initials, J and J. 01:37.961 --> 01:48.723 Dr. J can also be found in a whole list of papers having to do with COVID-19 because I was part of this group called drastic at the beginning of the pandemic and played a lot of 01:49.537 --> 01:53.900 played a large role in me going with the Lab League for so long. 01:53.940 --> 02:05.466 I've presented my understanding to Panda no less than three times, once to NCI, once to that group in Germany, once to the trustees of the wellness company. 02:06.207 --> 02:12.010 I was a staff scientist under Brian Hooker and Mary Holland at Children's Health Defense in 2023. 02:13.691 --> 02:23.677 And from 2022 and 2023, I was the scientific advisor for Robert F. Kennedy Jr., now the Secretary of Health and Human Services in the United States of America. 02:24.237 --> 02:27.419 And I helped him complete this book, The Wuhan Cover-Up. 02:27.919 --> 02:40.746 You can see a pretty good representation of the kind of stunned state that my family and I find myself in from the Red Pill Expo that I gave, the presentation that I gave on June 16th, 2024. 02:43.348 --> 02:47.513 And I am producing a biology basketball show in the background right now. 02:48.534 --> 02:51.037 It's one of the things that's really keeping me excited. 02:52.398 --> 03:02.570 If you like what you see and you want to see more, go to stream.gigaohm.bio.com You can also find my good friend Mark Kulak's work there under the Housatonic channel. 03:03.591 --> 03:08.253 If you want to communicate with us or start communicating with the viewers, you can go to GigaOM.bio. 03:08.773 --> 03:14.796 My wife, Phila, is about to be on that there as well, just kind of helping out with communicating. 03:15.276 --> 03:24.360 And finally, we do have a headquarters at GigaOMBiological.com where you can kind of span out and find all of this stuff, although those links are also available on GigaOM.bio. 03:24.400 --> 03:28.842 And we may transition slowly to GigaOM.bio being the headquarters headquarters. 03:30.282 --> 03:31.163 Good to see everybody. 03:31.363 --> 03:32.203 I'll be here in a minute. 03:35.625 --> 03:54.620 I don't care how you get there. 03:54.640 --> 03:57.343 I don't care what you do to get there. 03:57.363 --> 03:59.885 The goal is to win. 04:04.648 --> 04:05.589 What time is it? 04:05.649 --> 04:06.409 Game time! 09:21.021 --> 09:22.602 Good morning, ladies and gentlemen. 09:22.642 --> 09:23.582 Welcome to the show. 09:23.642 --> 09:26.204 A spectacular commitment to lies is all that's required. 09:26.244 --> 09:38.650 I'm going to explain to you why this one slide is probably enough to understand all the things that I was trying to tell Kim Iverson on her show and many times stumbled around and failed to do because what I'm trying to relay 09:40.720 --> 09:53.556 to people who are not in academic biology, were never in academic biology chasing tenure, is how few people would be required in order for this magic trick to be pulled off. 09:55.839 --> 09:59.083 I think we're really close to a critical breaking point. 10:00.124 --> 10:05.810 And so I want to keep working and keep working on trying to bring people to understand the big picture. 10:05.970 --> 10:12.616 Also because I've been encouraged to do this by some of my closest advisors. 10:13.537 --> 10:19.001 People that I trust have given me some tips and I'm going to go forward with those tips right now today. 10:19.582 --> 10:27.230 Because I think it's really important to separate myself from these charlatans and keep focused on that biology. 10:27.290 --> 10:38.142 We always go through this same reiteration on this show where we talk about people and then we talk about their ideas and then we focus on their ideas and then we have to remind you that these people are the people that 10:38.723 --> 11:01.969 that lied to us about these ideas and so I think this time could be different because they have enlisted people who are unwittingly participating and so the whole thing could shatter based on the idea that a lot of these people really didn't expect it to be this long and so I have a lot of hope that we can crack this by simply breaking some of these people but on the other hand 11:02.569 --> 11:04.291 Maybe we don't even need to worry about that. 11:04.351 --> 11:10.035 Maybe we can focus on history and biology and the truth and loving your neighbor. 11:10.676 --> 11:21.585 And that will result in the exact same thing that we all agree is the goal, which is people learning biology and the people who should have known better being held responsible. 11:22.046 --> 11:27.911 And so again, let's seek truth together so that we can dispel the illusion that actually requires our participation. 11:28.411 --> 11:30.613 Remember that intramuscular injection is dumb. 11:31.013 --> 11:36.016 Remember that transfection in healthy people would have been a crime five to ten years ago. 11:36.036 --> 11:38.358 An RNA cannot pandemic. 11:38.418 --> 11:45.943 This three-word phrase is the one that all the academic biologists that happen to stumble upon this stream need to consider deeply. 11:47.024 --> 11:55.610 If they had asked you this on your oral exam, can an RNA molecule go from a mud puddle to all of the white-tailed deer in North America? 11:56.110 --> 11:58.690 and all the lungs of all of the primates on earth? 11:59.091 --> 12:00.571 The answer would be no, of course. 12:02.691 --> 12:06.812 Ladies and gentlemen, I think the truth is available, and it's a scary one. 12:07.592 --> 12:08.612 The truth is the U.S. 12:08.652 --> 12:13.113 vaccine schedule is a criminal enterprise, and they've known that for a long time. 12:13.913 --> 12:21.034 And maybe they were never intending on this kind of knowledge to become general, but I think it's about to. 12:21.534 --> 12:24.335 It's about to become well understood by the world 12:25.575 --> 12:32.117 that actually a huge con, a long con has been running for some time. 12:32.157 --> 12:34.718 I'm really excited to see everybody in the chat. 12:35.338 --> 12:37.039 I'm really, really happy to be here. 12:37.119 --> 12:39.059 This is GigaOM Biological. 12:39.079 --> 12:41.900 Let me switch over here to the desk. 12:44.061 --> 12:44.841 Whoa, I don't need you. 12:46.302 --> 12:47.142 Good morning, everybody. 12:47.202 --> 12:51.145 It's Gagoan Biological, a high-resistance, low-noise information brief brought to you by Biologists. 12:51.205 --> 12:53.587 It's the 21st of March, 2025. 12:53.987 --> 13:04.175 First and foremost, to my sister from another mother, I'm sorry you're not here to see this stream, but happy birthday, Brandy Vaughn. 13:05.896 --> 13:10.060 I'm sure we would have been best friends had we ever been able to meet in person and 13:12.481 --> 13:15.062 Yeah, anyway, happy birthday to Brandy Vaughn. 13:16.183 --> 13:18.104 This is for all the marbles. 13:18.584 --> 13:20.085 It's for your grandchildren. 13:20.105 --> 13:23.287 And so I know this is a hard message. 13:23.347 --> 13:26.108 It's not a message for everyone, but it is a message of hope. 13:26.329 --> 13:28.450 And it is a message for anyone that's willing to 13:29.230 --> 13:31.311 open their mind long enough to understand. 13:32.292 --> 13:48.363 A friend of mine expressed it very aptly by saying that when you're in a maze and you keep finding the same ends, you really only have one choice but to move backwards toward the beginning and try to start all over. 13:49.503 --> 13:53.326 And in this case, I think there's a lot of people, there are a lot of people who have been 13:53.923 --> 14:02.455 led to run into the maze, headlong and blind, and have now found themselves in a very nasty little trap of dead ends. 14:03.116 --> 14:10.286 And if you continue to search these dead ends, you will be in this maze forever, and more importantly, your kids will be. 14:11.424 --> 14:25.190 And it's important that we go back to the beginning, go back to the beginning where these ideas came from, where these impetuses came from, and to understand them on timescales that are far, far longer than social media wants you to focus on. 14:25.210 --> 14:27.471 That's why I say it's about the grandchildren of Earth. 14:28.111 --> 14:40.196 We need to be focused, for example, in my humble opinion, on making sure that our grandchildren do not know what social media is or understand it as something that was really ridiculous. 14:41.315 --> 14:43.656 And thank goodness our parents got rid of it. 14:45.297 --> 14:46.478 Or our grandparents did. 14:47.998 --> 14:52.360 So the murder and lies part of this story, I'm going to switch down here to the bottom. 14:53.321 --> 14:54.281 Pardon me for a second. 14:55.242 --> 14:55.962 Do this and this. 14:58.103 --> 15:04.670 The murder and lies part of this, which I try to summarize very succinctly as saying that pure oxygen causes ARDS. 15:05.311 --> 15:19.706 So from the very beginning of the pandemic, even when we didn't have testing, we were already running out of ventilators and we were already supplying New York City with as much oxygen as the oxygen plant on the ship Comfort could provide. 15:20.767 --> 15:30.592 And this oxygen was being applied very willy-nilly, as adequately described by Kyle Seidel in his videos on YouTube. 15:30.612 --> 15:32.513 60 liters a minute were applied. 15:33.893 --> 15:47.580 And so pure oxygen can cause acute damage, lung damage, called acute respiratory distress syndrome, which is also the exact same set of symptoms that is often associated with the SARS-1 virus and now the SARS-CoV-2 virus. 15:48.120 --> 16:01.585 The second thing to understand is that PCR as applied in 2020, 21, 22 was never a useful diagnostic tool and very well could have been a legitimate thing picking up a legitimate background signal that was always there. 16:02.506 --> 16:13.170 And that would have been enough to provide all of the necessary background signal to enact what has now become an absolute disaster. 16:14.309 --> 16:34.127 And the basis of that was, and can be found on the 2020 and 2021 TWIV streams with Dr. Griffin and Dr. Vincent Racaniello, because those two guys talk regularly for almost two years straight about how antibiotics are very inappropriate for a viral syndrome. 16:34.547 --> 16:36.609 And so anybody with COVID, if they have 16:37.009 --> 16:50.463 a urinary tract infection or pneumonia should not be willy-nilly treated with antibiotics, but instead should be treated with things that are antivirals, like Remdesivir or any of these other drugs that they were testing. 16:52.099 --> 16:58.882 And so the debate about the repression of early treatment and this kind of thing was part of this hamster wheel. 16:59.242 --> 17:16.549 And all of the questions that we were asking, all of the debates we were having about the toxicity of the spike protein, or whether or not this was a lab leak, and they were covering it up completely did not ask any of the most relevant questions like, why are people really dying in hospitals? 17:21.792 --> 17:26.717 And so why murder and lies is actually the big question here, right? 17:26.757 --> 17:38.369 Because I've been focused mostly on trying to get you to see the monster, try to get you to see the malfeasance, try to understand why these people are liars and showing you all examples of how they've lied to me. 17:38.409 --> 17:43.154 And it comes off very much like to a lot of people, like I'm whining. 17:43.888 --> 17:51.442 But for me, it's kind of just processing the amount of betrayal and also regularly reassuring myself that I'm not crazy. 17:52.421 --> 17:58.324 But what's interesting about this is that the sort of goal has already been there in the background. 17:58.344 --> 18:01.806 It's always in my intro. 18:01.866 --> 18:09.671 And I sometimes feel as though it goes without saying that you must understand why they are murdering and lying about it. 18:09.751 --> 18:10.811 But apparently it's not. 18:10.911 --> 18:20.337 And so because I think it's something that maybe Kim would also wanna know or her viewers would also wanna know, I will point out again that in the beginning of all of my 18:21.078 --> 18:27.196 shows for a very long time now, I've had this slide which kind of graphically depicts world population. 18:28.659 --> 18:35.981 And it suggests that there is only one chance in history to collect the data they need for their God to solve all of humanity's problems. 18:36.461 --> 18:38.962 And then the slide pivots to their AI. 18:39.782 --> 18:46.124 Now, I use the term AI here, the abbreviation for artificial intelligence, loosely here. 18:46.564 --> 18:50.525 I do not think it is an appropriate set of words to describe 18:51.625 --> 18:53.307 machine learning algorithms. 18:54.268 --> 19:08.460 Instead, I think it is one of these kinds of semantic enchantments that is also ubiquitous throughout public health and this whole impetus for world health initiatives. 19:09.080 --> 19:15.223 So the main trick to understand is that they bamboozle us with the language that they choose. 19:15.623 --> 19:21.706 And I've done a few shows where I've stolen other people's words to describe it and called it slave speak. 19:22.406 --> 19:24.027 AI is slave speak. 19:24.127 --> 19:29.810 If you use the term artificial intelligence, you're essentially accepting the idea 19:30.310 --> 19:39.252 that somewhere in the future there will be a thing worthy of calling artificial intelligence or even better general artificial intelligence. 19:43.393 --> 19:46.074 And so that's important to hear. 19:46.994 --> 19:56.257 I think that just like solving the game of Go, in fact that's why they spent so much time and so much energy describing to you 19:57.403 --> 20:06.172 the idea that they solved the game of chess by making chess computers play each other, and then they had enough games they could actually solve the problem. 20:06.192 --> 20:08.574 They could make an algorithm that was better than a human. 20:09.095 --> 20:12.938 Then they did it with the game Go, kind of, sort of. 20:14.640 --> 20:20.186 But what they're doing there is they're showing you, they're teaching you, they're telling our kids, what is the plan? 20:21.485 --> 20:37.088 And the only thing that they leave unspoken, because they say that in their private meetings and their private dinners while they're smoking cigars, is what the ultimate goal of such an AI, such a machine learning algorithm application would be. 20:37.148 --> 20:46.870 What's the ultimate goal there in the sense of, you can climb a big hill, you can climb a mountain, or you could climb the largest mountain on Jupiter, 20:48.297 --> 20:54.321 So you could put a machine learning algorithm on chess, or you could put it on Go. 20:54.462 --> 20:57.043 Go has got so many more permutations. 20:57.124 --> 20:58.905 It's a much harder game to solve. 20:59.305 --> 21:00.586 And wow, we solved it. 21:01.066 --> 21:05.610 Maybe we could put machine learning algorithms on the protein folding problem. 21:05.650 --> 21:13.716 And then when we solve that problem, we could give the guys who solved it using artificial intelligence a Nobel prize. 21:14.830 --> 21:31.589 And slowly but surely, the population of the world is starting to be convinced that AI is a really useful tool that can do all kinds of crazy things, you know, like read MRIs better than doctors can, or read x-ray scans better than doctors can. 21:33.123 --> 21:43.708 And this is all part of the enchantment to get people to accept the fact that the AI is so powerful and so wonderful and such a great resource that we should just surrender to it. 21:43.748 --> 21:50.951 That we should give all of our information and data to these people who will then turn around and use it for all of us. 21:51.551 --> 21:54.012 Use it for all future generations. 21:56.616 --> 22:22.962 Now, the important thing to understand here that I would never understand as well as I do if it wasn't for my collaboration with Mark Kulak is that these ideas and Uwe Altschner and a lot of other people through this run that have pointed out how long these ideas have been discussed in books like The Phenomenon of Man or The Survival of the Wisest or Man and His Future. 22:24.608 --> 22:53.321 And so you can see a direct mentor chain through these people as they've formulated a plan of action where eventually they would, as a ruling intelligent class, the survival of the wisest, as our friend Jonas Salk so eloquently states, would have control of and be the stewards of human evolution. 22:55.663 --> 23:03.831 Because up until now, we've just been kind of rambling through space and time, you know, with not any real good focus. 23:04.531 --> 23:15.462 You could almost hear in some of these books how they believe that selecting people and breeding people together to make smart, strong people, why would that be crazy? 23:18.047 --> 23:23.471 And these are the same mentors of the people who mentored the people who are in front of us now. 23:24.072 --> 23:38.924 And it isn't by coincidence, this direct lineage of ideas and mythologies requires this unbroken lineage, this unbroken mentorship. 23:40.051 --> 23:41.532 And so it's very important. 23:41.972 --> 23:43.473 What are the murder and lies for? 23:43.913 --> 23:54.199 They are part, they are for one of the largest, maybe the largest and most continuous human project imagined. 23:55.100 --> 24:00.223 Because people have been working on this human genome project for a couple generations now. 24:00.963 --> 24:07.767 Because before they knew what the genetic material was, they already knew they were going to find it. 24:14.011 --> 24:16.452 They already knew they were going to find it. 24:18.533 --> 24:22.114 And when they found it, they already knew what they were going to do with it. 24:23.154 --> 24:24.915 They already knew what they had to do with it. 24:25.015 --> 24:32.037 They imagined that they could learn a lot about DNA in the 50s if they just irradiated flies. 24:32.418 --> 24:37.379 They also imagined they could accelerate evolution because evolution was just mutation, right? 24:37.919 --> 24:41.621 These people haven't always known 24:42.788 --> 24:56.620 Except for the fact that they've always known that they want it all That they need it all That they need the control of the world of the species. 24:57.160 --> 25:08.850 Okay the species That's maybe the best way to say it they don't want control the world they want control of the species and so let's just 25:10.478 --> 25:12.539 Recall, this is a geneticist. 25:13.200 --> 25:14.380 This is a geneticist. 25:15.161 --> 25:16.282 This is a geneticist. 25:18.543 --> 25:20.844 This is a HIV virologist. 25:20.925 --> 25:23.746 This is a bioweapons expert. 25:23.906 --> 25:25.687 This is a vaccinologist. 25:25.768 --> 25:30.510 That is a computer scientist and glyphosate expert. 25:33.712 --> 25:37.615 Geneticist, geneticist, kinda geneticist, geneticist. 25:39.727 --> 25:47.649 descended from, I mean, direct descendant, direct descendant of the Human Genome Project. 25:49.589 --> 25:53.210 And they are both now kind of controlling this maha right. 25:53.230 --> 25:59.471 The genetic testing company 23andMe went from biotech superstar to the brink of collapse. 25:59.791 --> 26:02.712 Its most valuable asset might be its DNA data. 26:03.132 --> 26:08.693 NPR's Bobbie Allen reports on what might happen to the genetic information of millions of people. 26:09.284 --> 26:10.525 It was an idea that caught on. 26:10.725 --> 26:15.408 Pay about 100 bucks for a saliva kit, and weeks later, learn all about your ancestry. 26:15.708 --> 26:18.610 The company behind this, 23andMe, was a hit. 26:19.110 --> 26:26.214 It was worth billions, Oprah raved about it, and countless people took to social media to share their experience, like TikToker Danielle Edwards. 26:26.714 --> 26:28.055 Okay, I did it, y'all. 26:28.095 --> 26:30.437 I finally took my 23andMe kit. 26:31.757 --> 26:37.741 Don't forget, also, Joe Rogan talked about it all the time, and this was like a Google the sister of the YouTube person. 26:39.381 --> 26:39.921 in this tube. 26:40.262 --> 26:44.244 More than 14 million people spit in a 23andme tube. 26:44.264 --> 26:45.645 14 million spit parties. 26:45.905 --> 26:47.366 The company was part of the zeitgeist. 26:47.786 --> 26:50.028 But there was one big business problem. 26:50.328 --> 26:52.929 Nobody needed to do a 23andme test twice. 26:53.209 --> 26:54.390 It was one and done. 26:54.930 --> 26:57.352 And now 23andme's stock is worth pennies. 26:57.752 --> 27:00.534 Financial news networks like CNBC have been blaring the news. 27:00.894 --> 27:06.537 It has since lost 99.9% of its value from its $6 billion market cap peak. 27:06.677 --> 27:08.397 Then there were two other big blows. 27:08.737 --> 27:12.159 Last year, the company was hit with a major data breach of customer passwords. 27:12.439 --> 27:15.180 And last week, its entire board of directors resigned. 27:15.781 --> 27:21.063 Some analysts say 23andMe could go out of business by next year, which raises the question. 27:21.661 --> 27:24.784 What's going to happen with the genetic data it has from millions of people? 27:25.224 --> 27:28.146 Even if the company goes under, that data could change hands. 27:28.487 --> 27:29.808 That may surprise some customers. 27:30.088 --> 27:33.010 They might believe that the information is more protected than it actually is. 27:33.351 --> 27:34.251 That's Anya Price. 27:34.512 --> 27:38.875 She's a law professor at the University of Iowa's College of Law who focuses on genetic privacy. 27:39.496 --> 27:45.561 She says federal health privacy protections like HIPAA don't apply here, since 23andMe is outside of the health care realm. 27:46.101 --> 27:50.204 What the company does depends on what customers agreed to when they signed up for the service. 27:50.544 --> 27:54.568 Some states, like California and Florida, do give consumers rights over their genetic data. 27:54.888 --> 28:00.792 If customers are really worried, they could ask for their samples to be withdrawn from these databases under those laws. 28:01.052 --> 28:06.657 When I asked 23andMe what it plans to do with all the genetic data if it goes out of business, a spokesman wouldn't say. 28:07.077 --> 28:14.763 But he did mention a partnership with pharmaceutical giant GlaxoSmithKline, or GSK, which has been analyzing the data to try to find medical breakthroughs. 28:15.774 --> 28:20.186 23andMe says 80% of customers opted into this kind of research when they signed up. 28:20.765 --> 28:22.306 Company says the data is anonymous. 28:22.926 --> 28:27.528 Prince thinks if people now are second guessing that decision, they might be out of luck. 28:27.768 --> 28:32.070 I couldn't go to GSK and say, hey, my sample was given to you. 28:32.090 --> 28:34.611 I want that taken out if it was anonymized, right? 28:34.631 --> 28:38.173 Because they're not going to reidentify it just to pull it out of the database. 28:38.293 --> 28:48.017 The 23andMe spokesman said the company is committed to being transparent with whatever happens to customer data, saying its core value is, quote, behind every data point is a human being. 28:48.577 --> 28:50.158 Bobby Allen, NPR News. 28:52.455 --> 28:54.036 So that I find very interesting. 28:54.096 --> 29:05.544 It's kind of mainstream understanding now that as much as 13 million genomes and the data associated with them is now free to use and available, maybe even already being shared. 29:06.704 --> 29:12.368 Or maybe Glasgow SmithKline is keeping it all to itself and selling it to the highest bidder behind the scenes. 29:14.530 --> 29:18.112 Or maybe part of the deal was to give it to the Human Genome Project anyway. 29:19.313 --> 29:20.874 Maybe the whole thing was just a scam. 29:21.806 --> 29:30.833 to get all those genomes, and as they said, when people stopped spitting in tubes, they just crashed the stock. 29:33.075 --> 29:33.936 And now what have they got? 29:34.136 --> 29:35.096 They got all their data. 29:37.859 --> 29:41.602 Now, this might seem like a trivial example, and it is. 29:42.742 --> 29:55.567 But I need you to understand from the perspective of what's actually trying to be accomplished and why the Human Genome Project actually goes on for as long as it does, why it extends all the way back to this. 29:56.287 --> 30:03.850 Because the whole premise was already understood, in my humble opinion, by a guy by the name of Joshua Lederberg. 30:03.890 --> 30:06.191 Joshua Lederberg already understood 30:07.171 --> 30:28.755 the complexity of the problem and already understood that the only way a pattern would be found is if all that data could be seen much like the only way that you can see a protein is if you make it pure and then allow it to crystallize in a perfect matrix so that you have so much of it arranged so perfectly that the signal is loud enough to see it. 30:29.847 --> 30:32.288 It's very similar to how they sequence DNA. 30:32.688 --> 30:40.131 Of course, there can be a pure sequence of a single molecule in a reaction, and you can sequence it, but the way that you sequence it is what? 30:40.571 --> 30:41.612 You make a lot of it. 30:43.192 --> 30:54.737 The whole impetus for PCR, from the perspective of these people early on, like Carey Mullis, was to make enough of a pure DNA molecule so that one could sequence it. 30:55.563 --> 31:06.591 They understood that a single molecule was not something they were ever going to invent a microscope big enough or a detector long enough to be able to read it accurately and go along it and record it. 31:07.752 --> 31:21.142 But they did know from proteins and from other experiments like crystals, that if they had enough of a pure molecule, then there might be signals there that would rise above the noise and create patterns that they could discern. 31:25.512 --> 31:31.037 And so now we are at a stage, ladies and gentlemen, understand we are at a stage where they need the data. 31:31.338 --> 31:33.440 They need to even understand how big is a genome? 31:34.140 --> 31:36.102 How much genome data is there really? 31:36.142 --> 31:37.324 How much do we want to store? 31:37.364 --> 31:40.447 That's one of the questions that the Human Genome Project was trying to answer. 31:40.827 --> 31:41.708 How do we store it? 31:41.768 --> 31:42.709 How do we collect it? 31:42.769 --> 31:43.450 How do we know? 31:43.870 --> 31:44.811 How do we verify? 31:46.380 --> 31:49.943 That's all part of this PCR application to sequencing. 31:49.983 --> 31:53.447 Almost all of this technology is PCR-based. 31:53.487 --> 31:54.267 Sequencing is. 31:54.648 --> 31:56.169 The PCR diagnostic is. 31:56.670 --> 32:00.573 Any kind of reconstruction of a genetic plasmid uses PCR. 32:01.074 --> 32:05.118 There are so many ways that PCR is used. 32:07.133 --> 32:17.760 in commercial and academic settings to do all these genetic tricks that you could almost say that a lot of what molecular biology is is just renaming PCR. 32:19.261 --> 32:21.302 Now, they need to store it. 32:21.363 --> 32:27.246 They need to store the data somewhere so that the computer, the machine learning algorithm here can access it. 32:28.047 --> 32:35.052 So depending on how big the database is, you know, the number of games of Go and how do you store that, its moves and its positions, 32:35.913 --> 32:41.016 You have to store that data, you have to store it in a uniform way, and then it has to be able to go through the machine learning. 32:41.576 --> 32:47.419 That problem has been solved numerous times with progressively larger problems. 32:49.033 --> 32:53.617 And now, for a long time already, they have been applying it to the human genome. 32:53.717 --> 33:02.424 I'm trying to understand how can we organize the data of a human genome so that we can compare it to another human genome. 33:02.784 --> 33:04.806 And to what extent is that possible? 33:05.266 --> 33:07.068 What kinds of things do we have to watch? 33:07.108 --> 33:09.470 This is not a trivial problem. 33:10.796 --> 33:13.578 This is a problem that's taken a couple decades to seize. 33:14.038 --> 33:20.682 And now, once you have that data, you can start to make predictions that can be validated. 33:21.223 --> 33:30.889 But we are nowhere near this stage because we don't even have the data stored in a way so that a machine learning algorithm can adequately access it and replay it. 33:32.550 --> 33:40.135 Because first, we need to collect the genetic data and learn how to interface it with medical data. 33:41.175 --> 33:43.838 And of course, that's going to be a huge waste of resources. 33:43.898 --> 33:53.510 It would be a lot better if our babies would just be sequenced at birth, and then all of their electronic medical data would always be correlated with their genetic data from birth to death. 33:54.211 --> 33:58.776 And that is the model that would be ideal in order to collect the data 33:59.457 --> 34:16.941 that they need to store and feed through the machine learning algorithm that will eventually make predictions that can be validated and we can start to work the magic that Joshua Lederberg predicted we'd be able to do when he formulated this idea a long time ago. 34:18.801 --> 34:20.221 So murder and lies for what? 34:20.582 --> 34:22.302 I really think it's for the data. 34:22.602 --> 34:26.843 Because only together can we seize the moment to defeat cancer. 34:27.941 --> 34:32.583 So today is about you, the fighters and the survivors. 34:32.603 --> 34:32.583 2016. 34:33.103 --> 34:40.206 The caretakers and the researchers, the philanthropists and the patient advocates. 34:41.107 --> 34:48.370 It's about the millions of Americans, their loved ones and all those around the world who are confronting cancer. 34:49.790 --> 34:54.172 It's about hope, but ultimately it's about action. 34:55.745 --> 35:07.409 Because of all of you and many others watching at home, we've made incredible progress this year, progress that Joe will talk about in detail. 35:09.870 --> 35:16.032 So now it's my pleasure to introduce a man of action, the man President 35:16.716 --> 35:21.418 Now, remember, we're not talking about whether this is the real Joe Biden or not. 35:21.858 --> 35:24.418 But I think this is definitely the real Joe Biden. 35:24.458 --> 35:25.519 That's the real Jill. 35:26.039 --> 35:27.659 And I think we've always had the real Jill. 35:27.679 --> 35:29.740 But when I listen to this, but it's funny. 35:30.300 --> 35:31.961 But don't worry about that now. 35:32.001 --> 35:34.642 What I want you to worry about is what he says about four minutes in. 35:39.163 --> 35:45.065 Gina McCarthy, EPA, Dr. Francis Collins, NIH director and the guy who 35:45.945 --> 35:51.047 is most responsible for the Human Genome Project, an incredible achievement all by itself. 35:52.208 --> 35:59.371 The National Cancer Institute Director, Doug Lowery, who has been a great, great ally and educator of mine. 36:00.412 --> 36:02.713 FDA Administrator, Robert Califf. 36:02.873 --> 36:04.994 Anne McCarthy, EPA. 36:05.714 --> 36:08.816 My husband, our Vice President, Joe Biden. 36:22.347 --> 36:31.853 Gina McCarthy, EPA, Dr. Francis Collins, NIH director and the guy who is most responsible for the Human Genome Project. 36:32.494 --> 36:34.275 Incredible achievement all by itself. 36:35.416 --> 36:38.758 The National Cancer Institute director, Doug Lowey, who has 36:39.642 --> 36:42.663 has been a great, great ally and educator of mine. 36:43.703 --> 36:59.788 FDA Administrator, Robert Califf, and Acting Administrator for Medicare and Medicaid Services, Andy Slavitt, and Tyler Jacks, Elizabeth Jaffe, the co-chairs of the Blue Ribbon Commission. 37:00.548 --> 37:06.370 I wish I could, and the public deserves to know every one of you in this room. 37:07.372 --> 37:20.339 And I mean every one of you, because you're the ones that have done such remarkable work to date, and you're the ones that are going to be responsible for what I believe will be an enormous amount of progress we'll make soon. 37:21.300 --> 37:31.126 First of all, when Barack Obama asked me to head up this moonshot, there were some skeptics out there that said, well, here we go again. 37:31.966 --> 37:33.907 Nixon declared a war on cancer in 1971. 37:33.947 --> 37:34.648 There's a big difference. 37:37.424 --> 37:45.550 In 1971, President Nixon's interest and concern was real and genuine, but he had no army. 37:46.430 --> 37:47.551 He had no resources. 37:48.332 --> 37:50.153 No clear strategy existed to win. 37:50.993 --> 38:04.303 But 45 years later, after decades and decades of funding, new research, training scientists and physicians, treating millions of patients because of so many of you, 38:05.103 --> 38:09.704 We now have a powerful new technology. 38:09.744 --> 38:12.164 This is in 2016 when he's vice president. 38:12.204 --> 38:16.385 This is in 2016, a few months after Vaxxed came out. 38:16.425 --> 38:24.906 This is in 2016, in the same month where Brandy Vaughn brags about her first billboard on the San Francisco Bridge. 38:24.926 --> 38:30.027 Technologies and tools, we have an army. 38:30.787 --> 38:34.348 And with this moonshot, a clear strategy and road ahead. 38:35.503 --> 38:36.864 The moonshot does two things. 38:37.904 --> 38:44.587 One, first, it injects, and because of all of you, an incredible sense of urgency back into this fight. 38:45.487 --> 39:01.555 Part of it is that what I said to the president when I walked out in the Rose Garden that day and said, I regret, it was spontaneous, I said, the only thing I regret announcing I'm not running for president, I'd like to preside over the end of cancer as we know it. 39:01.675 --> 39:04.336 Not we'd solve it all, but the end of cancer as we know it. 39:05.336 --> 39:10.998 And some wags, particularly in some of your professions, said, you know, like, here we go again. 39:11.518 --> 39:12.378 Here we go again. 39:13.258 --> 39:13.918 But you know what? 39:15.799 --> 39:23.361 What happened is that because of you, there is a fundamental new sense of urgency. 39:24.461 --> 39:25.622 I think you all can feel it. 39:25.642 --> 39:26.482 You've generated it. 39:27.042 --> 39:28.843 It's not only here, but it's around the world. 39:29.663 --> 39:31.803 And the second thing is, back in 1971, 39:35.410 --> 39:40.093 when there was no army, there was not all this, we didn't even know then there were 200 different cancers. 39:41.414 --> 39:46.617 What's happened is- 200 different cancers, okay. 39:46.857 --> 39:56.163 Is that we had a set of rules, a culture that was established for research and cooperation that is not applicable to 2016. 39:57.724 --> 40:03.107 The change in the cultural system that's needed to win this fight is kind of what we're all about. 40:04.557 --> 40:11.687 The change in the cultural system, I think, is code for, you people are too sovereign. 40:12.708 --> 40:14.691 You people got too many privacy rights. 40:18.632 --> 40:28.319 Jill and I, as Jill mentioned, every family is facing, everybody knows someone, if not their own family, facing cancer. 40:28.979 --> 40:30.740 And we know what it does to a family. 40:31.541 --> 40:39.346 Our family learned as much as we could, which all of you do, and some of you who are in the profession are survivors and or you've lost someone. 40:40.267 --> 40:43.909 And what do you do even if you have no background in cancer? 40:44.709 --> 40:46.651 It's your child, your husband, your wife. 40:47.657 --> 41:00.943 You try to learn everything you can, everything you can about the disease, both for purposes of hope and deciding on what you can do. 41:01.583 --> 41:02.584 What is it you can do? 41:02.604 --> 41:06.725 Is there anything you can do that speeds the progress? 41:06.765 --> 41:14.709 Because the one thing that every single cancer patient needs is a little bit of hope, hope. 41:15.990 --> 41:18.271 My mother used to say, where there's life, there's hope. 41:19.551 --> 41:34.435 What we learned from the world's best nurses, physicians, and researchers is that even if we couldn't save our son, the science, the medicine, the technology are progressing faster than ever. 41:36.115 --> 41:38.916 So we'll be able to save countless sons and daughters. 41:40.305 --> 41:47.649 As I've been saying repeatedly, I didn't realize this until Bo was diagnosed with stage four glioblastoma. 41:48.350 --> 41:49.571 We knew it was the death sentence. 41:49.891 --> 41:50.731 We're not slow. 41:51.432 --> 41:51.852 He knew. 41:51.872 --> 41:53.573 We all knew. 41:55.274 --> 41:55.954 But there was hope. 41:57.395 --> 42:05.580 We just thought there was hope because cancer in the last six years reached an inflection point that didn't exist seven, eight, 10, 20, 30, 40 years ago. 42:08.168 --> 42:17.594 By inflection point, we find there's a recognition that the cancer system established five decades ago needs to be re-imaged for the 21st century. 42:18.534 --> 42:24.097 That too often our cancer culture and system still plays by the rules of 71, not 2016. 42:25.658 --> 42:26.899 But so much has changed. 42:27.599 --> 42:28.120 Let me explain. 42:28.200 --> 42:33.223 Five years ago, oncologists weren't routinely working with immunologists. 42:33.343 --> 42:36.004 Immunology was sort of a voodoo science 10, 15 years ago. 42:37.492 --> 42:39.153 No, I'm not joking. 42:39.213 --> 42:43.295 I'm a bit pejorative, but truly, truly. 42:44.876 --> 42:45.637 Engaging. 42:46.117 --> 42:48.678 He knows all about the history of immunology, I'm sure. 42:49.018 --> 42:51.700 Immune system to kill cancers. 42:51.760 --> 42:54.842 There were three things that were done routinely. 42:55.382 --> 42:56.703 Find the tumor, excise it. 42:57.443 --> 43:00.645 What you couldn't get out, make sure you radiate the margins. 43:01.645 --> 43:06.248 And number three, which kills a lot of healthy parts of your brain or your body, 43:07.253 --> 43:22.544 and then engage in significant doses, depending on the seriousness of the cancer, of chemotherapy, which kills an awful lot of those cells that we need to engage those T-cells to kill. 43:23.044 --> 43:29.309 Oh, so cancer therapy kills the T-cells, but we need to engage the T-cells in order to kill the cancer. 43:29.329 --> 43:30.029 Are you hearing yet? 43:30.530 --> 43:31.010 It's coming. 43:31.971 --> 43:32.451 The cancer. 43:33.905 --> 43:40.508 So with immunologists and virologists, geneticists, chemical engineers, and others, they're now all working together. 43:40.548 --> 43:42.088 Why would we have virologists? 43:42.328 --> 43:48.231 I thought, are we saying that Bob Gallo was right, that cancer's caused by viruses? 43:49.051 --> 43:49.711 What in the hell? 43:49.832 --> 43:52.973 Working together and beginning to work even more closely together. 43:53.413 --> 43:56.594 It's becoming more routine than the exception now. 43:57.895 --> 44:00.296 Today, there's recognition that by aggregating 44:01.420 --> 44:08.108 and sharing data from millions of patients, genomics, family histories, lifestyles, treatment outcomes. 44:08.709 --> 44:10.812 We have now what we didn't have before. 44:11.112 --> 44:16.418 How would we ever get lifestyles and treatment differences and genomic data? 44:18.461 --> 44:19.582 How would we ever do that in 2016? 44:30.336 --> 44:32.496 We have a super computing capacity. 44:33.597 --> 44:42.398 We can actually do a million billion, a million, you all know it, but the press, a million billion calculations per second. 44:42.639 --> 44:43.879 Oh, wow. 44:44.419 --> 44:45.619 That's crazy. 44:45.659 --> 44:48.140 We finally have the computers to do it. 44:48.800 --> 44:55.341 Now that we have the computers to do it, Peter, I mean, Joshua Lederberg told us we would need the computer. 44:55.361 --> 44:58.982 Now that we have the computers, I mean, how can we not do it? 45:00.011 --> 45:03.196 We can't take time for everybody to understand why. 45:03.596 --> 45:11.448 It's for cancer, it's for autism, it's for all the genetic diseases that Kurtzweiler said we're gonna cure in 10 years. 45:11.488 --> 45:12.510 We're almost there. 45:19.580 --> 45:27.707 us, at least theoretically, if we aggregate enough data to be able to find new patterns and causes and successful treatments of cancer. 45:28.408 --> 45:31.350 Why does one treatment work on you and not on me? 45:31.390 --> 45:32.371 We have the same cancer. 45:33.492 --> 45:43.681 Because of technological advances and analyzing cancer genes and other genes in the body, we're closer than ever before to understanding what causes specific cancers, how to attack them. 45:45.778 --> 45:53.025 A few years ago, it took more than $2.7 billion to sequence the first human genome, as the doc knows. 45:54.306 --> 45:56.768 Now it takes less than a day and costs under $1,000. 45:56.888 --> 46:01.773 This is the exact selling point that these people do. 46:02.193 --> 46:05.977 He's just doing it from a politician's podium. 46:07.540 --> 46:10.743 This has been the selling point for decades, ladies and gentlemen. 46:10.803 --> 46:12.905 They have been preparing for this for decades. 46:13.265 --> 46:17.388 They didn't start collecting your genomes when they didn't have the computers. 46:18.089 --> 46:21.111 They didn't even bother talking about it when they didn't have the computers. 46:21.212 --> 46:27.357 Once they understood the task, then they focused on the computers first and the storage first. 46:29.397 --> 46:35.163 Do you really think that they're floating ships out in the ocean to store all the YouTube videos? 46:35.624 --> 46:40.149 To make sure that all the YouTube videos are available and are streaming all the time? 46:40.529 --> 46:43.112 They've got all those servers docked in boats? 46:45.835 --> 46:49.359 Because you know, we never have enough videos on a server. 46:51.305 --> 46:57.971 Is that really why we put so much effort into the internet, so much effort into all the storage on the internet? 46:58.031 --> 46:58.391 Really? 46:58.932 --> 46:59.352 Really? 47:00.072 --> 47:07.959 Because content providers and content creators need storage space, you know, like I need my peer tube. 47:16.086 --> 47:17.728 New technologies, new therapies. 47:18.499 --> 47:21.582 as I said, like immunology, targeting cancer cells. 47:22.062 --> 47:34.194 I'm going to move forward because I think you need to understand that these pharmaceutical companies are in on it because they too stand to benefit from a database like that. 47:36.943 --> 47:44.952 These global pharmaceutical companies are in it with the social media companies, because of course, part of the data they need is your behavior. 47:44.992 --> 47:51.939 Your consumer behavior tells them, of course, how to sell things to you, but it also tells them what you consume. 47:51.980 --> 47:54.562 And they can use that as data as well. 47:54.602 --> 47:55.844 And this is not a joke. 47:58.391 --> 48:12.422 If they are going to use the current world population's next generation of kids and the one that comes after it, our grandkids, and use them to the fullest extent that the Human Genome Project requires. 48:14.261 --> 48:24.250 then they need us to acquiesce to social media, to digital enslavement, to digital monitoring, and also to genetic and epigenetic monitoring. 48:24.330 --> 48:27.973 Anything, everything you can imagine, they need all the data with a capital D. 48:30.182 --> 48:35.044 And that's why all of these front groups are sabotaged because they are part of this. 48:35.464 --> 48:52.811 The idea is to run out the clock slowly so that our children just walk in blindly while they're looking down at their phones and scrolling and wake up one day under a vaccine passport where they can't go anywhere unless they meet the requirements and submit. 48:55.458 --> 49:13.655 And that, I believe, is why this, what I call loosely a lollapalooza of liars, was put in place to control the dissident movement, the skepticism of the pandemic, to make sure that that skepticism was neutered in a way that would never come to the right conclusion. 49:14.516 --> 49:17.758 The easy one, you know, the Brandy Vaughn biology. 49:18.513 --> 49:19.654 Happy birthday, Brandy. 49:20.494 --> 49:34.864 Instead, we have this fake populist movement that I think somewhere near the helm sits Steve Bannon, simply because he's the one who gave us Li Min Yan. 49:34.904 --> 49:36.725 He's the one who gave us Stephen Hatfield. 49:36.745 --> 49:38.366 He's the one who gave us Miles Guo. 49:38.907 --> 49:44.430 And he's the one who suggested that this guy should be vice president, just like this guy said he should be vice president. 49:44.791 --> 49:47.973 And he's definitely part of this team, who the former, 49:48.513 --> 49:57.468 Research and Development Director of the Human Genome Project has been helping to advise from whenever, but certainly from the beginning of the pandemic. 49:59.042 --> 50:18.363 This is the guy that helps write the script that keeps people off of the important things like the real scrutiny of PCR or the real scrutiny of how they treated pneumonia or the real scrutiny of the use of supplementary oxygen and stay focused on the sequences or the DNA contamination, etc, etc. 50:18.823 --> 50:19.945 Maybe it even integrates. 50:22.662 --> 50:44.332 While Bobby is focused on ending the corporate capture of our regulatory agencies, I am going to assemble the best technologists and scientists in the world, and we will use the latest in AI and computation to examine the health records databases of our nation and those other nations who are also on a quest to solve chronic disease. 50:48.393 --> 50:49.714 Do I need to say any more? 50:52.025 --> 50:53.646 It's not like they're lying to you. 50:54.826 --> 50:56.186 It's not like they're hiding it. 50:57.227 --> 50:59.588 It's just that the fire hose is so thick. 51:00.528 --> 51:04.089 There's so much water being sprayed in your face that you can just miss it. 51:06.630 --> 51:11.812 But in reality, this is the trap, the limited spectrum of debate. 51:11.912 --> 51:15.193 Both sides were ready and willing 51:17.918 --> 51:21.423 and telling us this is a video from March 29th, 2024. 51:30.560 --> 51:31.540 I don't even know what to say. 51:31.580 --> 51:32.421 Should I play it again? 51:32.521 --> 51:34.742 I mean, really, what do I say here? 51:35.562 --> 51:57.230 While Bobby is focused on ending the corporate capture of our regulatory agencies, I am going to assemble the best technologists and scientists in the world, and we will use the latest in AI and computation to examine the health records databases of our nation and those other nations who are also on a quest to solve chronic disease. 51:58.590 --> 51:59.971 So it's a global project. 52:01.220 --> 52:09.888 They're gonna get the databases or maybe from the UK where, you know, Claire Craig was already collecting a hundred thousand genomes to do pathology on. 52:12.350 --> 52:14.132 Nobody's in this narrative by chance. 52:14.192 --> 52:15.914 That's the part that hurts me the most. 52:16.034 --> 52:17.275 Everyone has a timeline. 52:17.355 --> 52:25.283 I have a timeline where it took me a very long time to figure it out because there were just so many meddlers, ladies and gentlemen, so many people trying to keep you off center. 52:26.485 --> 52:34.971 But I can tell you from listening to 2013 Brian Hooker, that Brian Hooker in 2013 actually understood something. 52:35.971 --> 52:40.935 I might just escape out of here for a second and restart the slide deck just to make sure that we're okay here. 52:43.086 --> 52:49.772 In 2013, Brian understood very well that he says that doesn't say autism. 52:49.832 --> 52:51.454 He calls his son vaccine injured. 52:51.474 --> 52:53.395 He doesn't like the term autism in 2013. 52:54.256 --> 52:58.440 He questions the entire idea of vaccination, the whole principle in 2013. 52:58.880 --> 53:01.383 And he says, it's many shots. 53:01.443 --> 53:02.323 It's not just the MMR. 53:05.498 --> 53:08.901 And so it's very curious what we found the other day when we went to 2020. 53:11.183 --> 53:12.384 Let's just do a timeline. 53:12.664 --> 53:13.805 Happy birthday, Brandy. 53:34.286 --> 53:41.132 Now the reason why I like Brandy so darn much is because Brandy was the one that said it best in 2016. 53:41.192 --> 53:53.002 I've never found anyone else who's said it like this except for myself, which is that you have to just do the thought experiment of comparing injection of a pharmaceutical versus ingestion. 53:54.643 --> 54:00.308 And if you understand how much more dangerous and ridiculous it is to inject anything versus ingest it, 54:01.348 --> 54:08.217 or wipe it on your skin or inhale it, then you understand the basic biology of why intramuscular injection is dumb. 54:08.638 --> 54:16.628 And certainly intramuscular injection with the intention of augmenting the immune system of a perfectly healthy child is absurd. 54:16.689 --> 54:17.550 It's malevolent. 54:19.918 --> 54:22.240 And Brandy was able to say it in 2016. 54:22.340 --> 54:32.327 Brandy was running in the same circles as Mary Holland, as Judy Mickiewicz, as Del Bigtree, as Polly Tommy, and as Andrew Wakefield. 54:32.667 --> 54:40.913 She is contemporary to them in 2016 and is as is her organization founded in 2015 called Learn the Risk. 54:40.993 --> 54:47.718 And here she is excited about a billboard that she got up on the street in San Francisco. 54:53.860 --> 55:01.067 CHD doesn't make billboards that say all vaccines are dangerous or all vaccines do harm. 55:01.788 --> 55:03.109 Or what does she say here? 55:04.891 --> 55:06.873 Vaccines do more harm than good. 55:07.594 --> 55:09.996 Every shot contains toxic chemicals. 55:11.237 --> 55:14.380 There is no such thing that CHD does. 55:14.741 --> 55:16.162 ICAN does not do that. 55:17.133 --> 55:25.542 Brian Hooker doesn't have any billboards that say all shots do more harm than good, even though 2013 Brian Hooker understood that. 55:29.833 --> 55:35.758 And three years later in May, 2019, there's a photograph of Robert F. Kennedy Jr. 55:35.818 --> 55:43.664 and Del Bigtree and Brandy Vaughn and James Lyon Weiner and Judy Mickiewicz. 55:44.324 --> 55:57.575 And so they all know that for three years, she has been putting up billboards in many states around the United States, has been on the news for her anti-vaccine billboards showing dead babies 56:00.353 --> 56:00.933 They know. 56:02.654 --> 56:05.516 That's why they're standing in this picture with her. 56:05.896 --> 56:07.156 They know how she says it. 56:07.197 --> 56:09.958 They know that she says it very differently than they do. 56:10.798 --> 56:13.840 It's not just about the MMR like it is with Wakefield. 56:13.920 --> 56:23.525 It's not just about, you know, an adjuvant like it is with Mary Holland or with Pauly Tommy or with all, sorry, with James Lyons Wyler. 56:24.588 --> 56:30.571 And we've found evidence that Pauly Tommy was coming onto the side of Brandy, understanding that, you know what? 56:30.611 --> 56:33.552 The real important message is the unvaccinated kids. 56:34.072 --> 56:45.177 Brandy had an unvaccinated kid because she had her kid in France and breastfed her kid and never gave him shots and really never even thought about it until she came back to California during these mandates being put in. 56:47.398 --> 56:51.660 It was lucky because this is not an autism mom. 56:53.311 --> 56:55.032 Why does she have to risk anything? 56:56.373 --> 56:58.173 She could have just moved out of California. 56:58.494 --> 57:00.054 She could have just homeschooled her kid. 57:00.935 --> 57:08.379 Instead, she risked everything to put it on billboards because she didn't want other kids to be injured. 57:08.759 --> 57:10.600 She had a vaccine-free kid. 57:10.660 --> 57:11.520 I don't have that. 57:12.220 --> 57:13.181 You don't have that. 57:13.681 --> 57:14.442 She had it. 57:16.002 --> 57:21.065 And she felt that it was so important that she dedicated her entire life and her savings 57:22.301 --> 57:29.927 to putting it on billboards, to raising the money to put it on more billboards, while these people talked about the MMR or adjuvants or choice. 57:33.189 --> 57:38.193 And I'm frustrated because they played the same game with me, even after I figured it out. 57:39.174 --> 57:43.197 So Brandy Vaughn died in December of 2020 on the 7th. 57:46.505 --> 58:06.136 And we will listen to a video of 2020 Brian Hooker, who in 2013, I believe, would have understood exactly what Brandy was saying in 2015 and 16, and would have been totally gung-ho about the idea to simplify it down to intramuscular injection seems pretty dumb, especially in a healthy child. 58:06.216 --> 58:07.296 Let's just stop doing that. 58:10.838 --> 58:12.379 And here's Brian Hooker in 2020, of course. 58:15.433 --> 58:17.435 It was so great, so great. 58:19.316 --> 58:23.140 So my first stop after I finished seeing my patients today was to Costco. 58:23.520 --> 58:27.563 I bought like six roasted chickens and a bunch of frozen vegetables. 58:27.603 --> 58:29.645 And I was like, fuck it, we're going to be fine. 58:30.066 --> 58:31.126 Lock it down. 58:31.146 --> 58:31.827 That's right. 58:31.887 --> 58:32.908 Lock it down. 58:35.074 --> 58:36.895 I wasn't having this much fun in December 2020. 58:37.935 --> 58:39.076 I had just lost my job. 58:39.096 --> 58:42.797 I was actually on the phone with Scott, Dr. Scott Jensen a little bit ago. 58:42.837 --> 58:45.698 He's actually... I'm not going to play this part of the video. 58:45.718 --> 58:48.179 I just wanted you to see where it starts and where it goes. 58:48.239 --> 58:51.861 I might just fast forward it a little bit here so you can see the whole picture of people. 58:52.401 --> 58:58.464 So there's two people in this video this Dr. Kendra here that I think you can see me circling and then Dr. Brian Hooker. 58:58.504 --> 59:07.809 Dr. Brian Hooker is the guy that I showed you in 2013 a couple days ago was totally down with the idea that vaccination itself was pretty 59:08.989 --> 59:25.837 pretty dubious, pretty dodgy, and would have definitely agreed with 2015 or 2016 Brandy Vaughn when she explained the difference between injection versus ingestion and explained how many different things are in these shots that nobody cares about. 59:27.638 --> 59:28.898 And that all shots are bad. 59:30.639 --> 59:36.942 And I think Brian Hooker and Brandy would have been very, very active and good colleagues on those ideas. 59:38.084 --> 59:54.958 Despite the fact that Brian Hooker in 2013 had 16 years of experience as a geneticist manipulating plants, genetically modifying plants with transformation and transfection. 59:55.278 --> 01:00:00.102 2020 Brian Hooker doesn't say anything about transformation and transfection. 01:00:01.643 --> 01:00:03.725 Put together over a period of 10 to 14 weeks. 01:00:05.345 --> 01:00:07.668 So we really have no long-term safety studies. 01:00:07.748 --> 01:00:17.179 We don't know what happens when you take messenger RNA, you know, that they're using in these formulations and you put it into human bodies. 01:00:17.339 --> 01:00:21.344 We do know that there's a higher propensity of things like Bell's palsy. 01:00:22.433 --> 01:00:25.235 and other neurological diseases. 01:00:25.756 --> 01:00:33.862 So what I'm suggesting here, number one, is that Brian is absolutely positively more technically advanced than what he's explaining here. 01:00:34.322 --> 01:00:37.425 And he does not need to recite the script that he's given. 01:00:38.991 --> 01:00:42.412 which said there might be a higher propensity for Bell's palsy. 01:00:42.792 --> 01:00:49.554 What he could say right now is that I have 16 years in biotechnology where I was transforming and transfecting plants. 01:00:50.054 --> 01:01:00.417 And I quite frankly can't understand the rationale where we think that we have a grip on this and our own biology well enough to start using these things willy nilly in healthy people. 01:01:00.937 --> 01:01:03.618 This just seems absurd, but he's not saying that. 01:01:04.258 --> 01:01:08.599 He's reading a script that he was given that says the safety studies were too short 01:01:09.830 --> 01:01:22.879 Meaning that if the safety studies were longer, and then he's going to say something absolutely remarkable, which is his vaccines were given to his son during an ear infection. 01:01:24.080 --> 01:01:29.444 Which kind of sort of implies that if you give vaccines when you don't have an ear infection, maybe you won't get autism. 01:01:30.612 --> 01:01:37.773 And then he's going to go on to get interrupted by Dr. Kendra, who's going to say that, you know, there's fifth generation warfare around already. 01:01:38.113 --> 01:01:41.194 She's not going to use those words, but she's going to say the same thing. 01:01:42.234 --> 01:01:59.317 And then he's going to come back and fill in the rest of the biology that they've been given on a script in order to enact some kind of limited spectrum of debate in front of these people that think that a spontaneous conversation is happening instead of a carefully scripted, uh, uh, 01:02:00.539 --> 01:02:04.303 catch and return conversation that they are engaged in right now. 01:02:04.823 --> 01:02:10.108 It's absolutely positively a national security exercise. 01:02:10.128 --> 01:02:11.689 I died from these vaccines. 01:02:12.430 --> 01:02:19.656 And, you know, I went through the clinical trial data directly when it became available for the FDA. 01:02:20.217 --> 01:02:26.342 And what I saw was that, you know, they're supposed to be giving these vaccines to seniors in nursing homes. 01:02:26.960 --> 01:02:29.762 And these are already chronically ill individuals. 01:02:30.102 --> 01:02:33.103 You're not supposed to vaccinate six people, even under. 01:02:33.343 --> 01:02:36.825 Oh, so maybe it's okay for younger people then, but just not old people. 01:02:37.966 --> 01:02:43.529 Again, this is a guy who in 2013 was questioning the whole idea of injecting anyone. 01:02:45.967 --> 01:03:03.438 This is a guy that between 2013 and 2020, absolutely positively met Brandy Vaughn and heard her speak several times, maybe even shared a stage with her, was in the same movie as her and is in an organization that definitely knows who she is because those people are on stage together. 01:03:05.699 --> 01:03:08.361 You know, a very, very flawed system of medical care. 01:03:08.381 --> 01:03:09.861 You're not supposed to do that. 01:03:10.202 --> 01:03:11.342 That's what happened to my son. 01:03:11.422 --> 01:03:13.964 He was vaccinated when he had an active ear infection. 01:03:14.434 --> 01:03:17.518 And that sent him tremendously downhill very, very quickly. 01:03:18.038 --> 01:03:23.925 And so it really seems to suggest that as long as you don't vaccinate with an ear infection, maybe things will be okay. 01:03:25.527 --> 01:03:31.774 That's not 2013 that Brian, that would, I think, say the vaccine schedule needs to end. 01:03:32.294 --> 01:03:35.218 If I'm allowed to say that, I would like to say it on the radio right now. 01:03:38.854 --> 01:03:40.475 These people aren't there by accident. 01:03:40.515 --> 01:03:41.616 They have been co-opted. 01:03:41.656 --> 01:03:46.839 They've been offered, you know, you're either going to go along or we're going to get somebody else to go along. 01:03:46.859 --> 01:03:53.562 I'm not saying Brian's a bad guy, but I'm saying Brian could tell us the truth and this would end in a moment. 01:03:54.263 --> 01:03:59.126 Intramuscular injection of medicine is the most ridiculous rationale. 01:03:59.466 --> 01:04:00.106 There is none. 01:04:00.526 --> 01:04:02.788 There's no biological basis for that idea. 01:04:03.871 --> 01:04:12.900 And it comes from these kind of old men that had no idea what they were talking about, just had an idea that they were given and were dreaming about. 01:04:17.104 --> 01:04:20.447 And so, you know, I think this is a great way to clear out nursing home beds. 01:04:20.467 --> 01:04:21.348 You're going to kill people. 01:04:21.909 --> 01:04:24.770 You are absolutely going to kill people with these vaccines. 01:04:26.390 --> 01:04:30.872 The population that was most underrepresented was the geriatric population. 01:04:30.932 --> 01:04:38.114 Wouldn't it be crazy if they rolled out placebo and then Brian turned out to be wrong from the perspective of most people in America who took it? 01:04:39.275 --> 01:04:40.335 Wouldn't that be crazy? 01:04:43.116 --> 01:04:44.536 It's going to be catastrophic. 01:04:44.556 --> 01:04:46.697 And then it turns out not to be catastrophic. 01:04:46.737 --> 01:04:47.777 Wouldn't that be nuts? 01:04:50.180 --> 01:05:00.086 In fact, the phase 2 clinical trials where they did safety data, they literally had 22 individuals that they tested that were above 68 years of age. 01:05:00.626 --> 01:05:01.687 And this is the primary. 01:05:01.767 --> 01:05:10.652 Now they're sending out millions of vaccinations across the United States for people who are on long-term care. 01:05:10.893 --> 01:05:12.534 And it's a disaster. 01:05:12.694 --> 01:05:15.796 It's an absolute disaster waiting to happen. 01:05:15.856 --> 01:05:17.597 It's already happening in the UK. 01:05:17.757 --> 01:05:19.638 And I know it will only be worse here. 01:05:21.943 --> 01:05:24.626 Yeah, it is scary. 01:05:24.686 --> 01:05:32.433 And it's amazing how many people are willing to just jump in line and take this vaccine that, I mean, you're basically a guinea pig for it. 01:05:32.593 --> 01:05:39.440 There's been no... This is a man who has 16 years of experience transforming and transfecting plants. 01:05:41.562 --> 01:05:48.026 So he could point out right now that putting mRNA into a human is called transfection. 01:05:48.066 --> 01:05:54.889 And actually, I know colleagues who do it in academia all the time, in mice, in rats, and in monkeys. 01:05:55.049 --> 01:05:57.511 And it would be ridiculous to do this in healthy humans. 01:05:58.251 --> 01:05:59.292 I'm an expert in it. 01:05:59.372 --> 01:06:10.918 He could say that because he started out his 2013 interview by saying he has 16 years of experience in biotechnology, working on genetically modified plants to make medicine. 01:06:13.288 --> 01:06:16.611 He worked for a government laboratory for the Department of Energy. 01:06:17.812 --> 01:06:23.017 And he was an expert, self-declared expert in the FDA approval process in 2013. 01:06:24.218 --> 01:06:31.584 And now this guy is reading a script where the safety studies are too short and the vaccine during, what? 01:06:34.387 --> 01:06:37.089 Trials on it, no long-term trials. 01:06:37.109 --> 01:06:38.731 There's no peer review studies, nothing. 01:06:39.744 --> 01:06:42.366 and yet you literally are a part of the study. 01:06:42.406 --> 01:06:45.048 You are the study, because you're getting the vaccine first. 01:06:45.728 --> 01:06:48.590 Dr. Kendra Becker, would you like to expand on some of the- Here we go. 01:06:48.710 --> 01:06:48.931 Sure. 01:06:49.291 --> 01:07:07.243 I'm actually giving a lecture on the different COVID vaccines that are being released on the 21st, which I think- If you're giving a lecture on the vaccines, then you are either an absolutely bamboozled person who just wants to be in the spotlight, 01:07:09.247 --> 01:07:19.209 or you are a malevolent actor because anybody that was humble enough to read before they gave a lecture would not be calling them vaccines. 01:07:20.710 --> 01:07:28.411 Anybody that was humble enough to read before they gave a lecture would be calling these things not vaccines. 01:07:28.471 --> 01:07:29.812 And already right now in 2020, 01:07:32.904 --> 01:07:59.239 In December of 2020, yours truly, Jonathan Cooey, still research assistant professor at the University of Pittsburgh School of Medicine, not yet off the list until October in, or sorry, July in 2021, was already saying that these were transfections, was already thrown out of DRASTIC because DRASTIC is focused on the origin of the virus and we're not gonna talk about the shots. 01:08:00.339 --> 01:08:11.502 While I was pleading with them, hey, we got so much media coverage right now, we could tell everybody that these are not vaccines, that they are transfections and that we could expect autoimmunity, that this is gonna be a disaster. 01:08:12.242 --> 01:08:14.123 Nada, zippo, zilch. 01:08:14.523 --> 01:08:27.066 While the 16 years of experience biotechnologist is on a stream talking about the vaccines and telling us the limitations of them. 01:08:27.984 --> 01:08:29.585 Maybe we shouldn't give them to old people. 01:08:29.625 --> 01:08:31.665 Maybe we shouldn't give them to kids with ear infections. 01:08:32.406 --> 01:08:33.226 Maybe they'll fade. 01:08:33.586 --> 01:08:36.127 It's Monday in Dunedin, Florida. 01:08:36.187 --> 01:08:38.968 So if anybody wants that information, I can pass that flyer around. 01:08:39.429 --> 01:08:43.970 And specifically, you know, speaking to what Brian said, you're absolutely correct. 01:08:44.131 --> 01:08:50.213 I mean, the studies on these were so flimsy and any vaccine going forward, the phase three 01:08:50.748 --> 01:08:55.189 Phase three trials start when they start dispensing it into the general public. 01:08:55.229 --> 01:08:56.929 In this case, this vaccine was rushed. 01:08:57.229 --> 01:08:59.410 Understand what I'm trying to point out here. 01:08:59.490 --> 01:09:06.612 There is no previous skepticism of the previous vaccine schedule. 01:09:08.232 --> 01:09:17.134 There's no good biological skepticism of the previous vaccine schedule upon which these two actors are building. 01:09:17.950 --> 01:09:25.013 That would be normal if you were Brian Hooker and had been fighting this fight against the vaccine schedule lie since 2013. 01:09:26.574 --> 01:09:28.015 You'd probably open with that. 01:09:28.875 --> 01:09:38.159 But instead, they are opening with a carefully scripted back and forth where they only cover the same talking points that Robert Malone would cover. 01:09:38.940 --> 01:09:43.782 Only the same talking points that Kevin McKernan has covered on the Vance Crowe podcast three times. 01:09:50.595 --> 01:09:54.576 so quickly using state-of-the-art technology that's never been used before. 01:09:55.617 --> 01:09:59.358 We know- It's not state-of-the-art technology that's never been used before. 01:09:59.458 --> 01:10:04.040 It is state, it is technology that was used to produce biologics before the pandemic. 01:10:04.100 --> 01:10:08.201 And now they don't have to go through the final step of purifying the protein. 01:10:08.601 --> 01:10:14.123 They can stop at the DNA and use an enzymatic reaction to convert that DNA to RNA. 01:10:14.163 --> 01:10:14.984 And then who cares? 01:10:16.624 --> 01:10:18.505 It's not a new process. 01:10:19.721 --> 01:10:22.443 and it's not a new technology, and Brian knows that. 01:10:27.186 --> 01:10:43.157 The important thing that one of my friends pointed out to me is that my description of what happened during the pandemic basically requires previously existing technologies to be renamed, maybe with a little malevolent intent. 01:10:44.719 --> 01:10:45.079 That's it. 01:10:46.385 --> 01:10:56.532 No magic tricks, no, you know, oh my gosh, they have all this new technology that they've unleashed, like nanoparticles and nanomachines, and they're monitoring us with 5G. 01:10:57.933 --> 01:10:58.674 Maybe someday. 01:11:00.515 --> 01:11:03.737 But for now, all they're doing is renaming old technology. 01:11:05.839 --> 01:11:10.662 Essentially, transfection and transformation have become both virology and medicine. 01:11:12.784 --> 01:11:14.405 And Brian is 100% down with it, apparently. 01:11:15.948 --> 01:11:27.335 even by the small number of clinical trials that they've done, that it ramps up autoimmunity, that it causes anaphylactic reactions, and that it really kind of amplifies and ramps up the immune system. 01:11:27.796 --> 01:11:38.482 So in a country where, you know, 50% of our children carry a chronic medical diagnosis, we're going to go ahead and continue to amplify what's going on in their immune system. 01:11:38.542 --> 01:11:40.684 I think it's dangerous and unsafe. 01:11:41.464 --> 01:11:42.445 And furthermore, 01:11:42.904 --> 01:11:51.406 The amount of, and we've talked a lot about predictive programming and fear-based, you quote, education and things that have been going on in the mainstream media. 01:11:51.806 --> 01:11:59.067 But furthermore, we have a vaccine that's 90% effective for a virus that is 99.99% curable. 01:11:59.387 --> 01:12:07.429 I mean, I just, survivable, I- So what they are agreeing on is that the questions being asked in the mainstream media are the right questions to ask. 01:12:08.399 --> 01:12:11.785 We should be asking who dies of the virus. 01:12:11.826 --> 01:12:14.591 We should be asking about how old are they. 01:12:14.951 --> 01:12:18.157 We should be asking about whether they have comorbidities or not. 01:12:18.973 --> 01:12:29.102 And all these questions presuppose the existence of the virus, presuppose the need for a vaccine, accept the idea that there is a crisis in the works. 01:12:29.582 --> 01:12:38.089 And I believe that it is impossible for Brian and this Kendra person to be on this script by accident. 01:12:38.209 --> 01:12:40.912 This is not just because they've been reading the wrong newspapers. 01:12:44.207 --> 01:12:48.450 The thinking on all of this is a far greater problem than the vaccine. 01:12:48.490 --> 01:12:49.570 You know, I'm a capitalist. 01:12:50.090 --> 01:12:53.632 People want to put out a crappy product and people want to buy that crappy product. 01:12:54.133 --> 01:12:55.253 That's up to them. 01:12:55.353 --> 01:12:56.514 That is not up to me. 01:12:56.914 --> 01:13:08.680 If the government wants to tell children's parents that they need to be hit in the head with a baseball bat three times before they're 12 years old and two times before they're six months, well, you know, I don't care. 01:13:08.980 --> 01:13:09.881 It's fine with me. 01:13:10.641 --> 01:13:12.342 I'm just not going to do it to my kids. 01:13:18.143 --> 01:13:25.845 I think this is the most, this is the shittiest attitude and exactly the opposite of my friend, happy birthday, Brandy Vaughn. 01:13:26.985 --> 01:13:36.847 Brandy Vaughn had a perfectly healthy kid that never been injected once and she could have just gone off on an island and lived happily ever after because Merck would have loved it if she'd have shut up. 01:13:38.348 --> 01:13:47.570 Seeing as Merck, her former employer owns a majority of the childhood vaccine schedule, that she was now telling you was bullshit. 01:13:55.302 --> 01:14:08.549 But when the government starts mandating and dispensing what they're calling health care for no apparent reason, without any sound scientific backing, that's when we start talking about tyranny. 01:14:08.650 --> 01:14:10.651 And that's the conversation I think we need to have. 01:14:11.761 --> 01:14:14.183 We're in a very, very scary predicament at this point. 01:14:14.483 --> 01:14:16.584 Can I just ask a question about the efficacy? 01:14:16.624 --> 01:14:28.092 Because as I understand it, and this is claimed efficacy, because when Bill Gates was talking about this in April, these Moderna vaccinations and the trials, they said 50% efficacy. 01:14:29.032 --> 01:14:29.973 They're all doing it. 01:14:30.133 --> 01:14:32.675 None of these people are using the right words. 01:14:32.835 --> 01:14:34.356 They're using the slave speak. 01:14:36.977 --> 01:14:40.700 By using the word vaccine, you're already using the slave speak. 01:14:41.160 --> 01:14:45.144 By talking about mandates or choice, you're already using the slave speak. 01:14:45.204 --> 01:14:46.765 And Brian must know that. 01:14:47.306 --> 01:14:50.428 Certainly 2013 Brian knew that was bullshit. 01:14:50.748 --> 01:14:53.330 He wouldn't even use the slave speak of autism. 01:14:55.332 --> 01:14:57.454 Can you please see the significance of this? 01:14:59.591 --> 01:15:10.480 Because if we can break this cycle of using slave speak, using the words and their definitions, you're not going to get out of this maze if you keep running down the dead end of autism. 01:15:10.500 --> 01:15:15.284 You're not going to get through this maze if you keep running down the dead end of no mandates and choice. 01:15:15.704 --> 01:15:21.369 You're not going to get out of this maze if you keep running down to the dead end of maybe it's an adjuvant. 01:15:22.009 --> 01:15:48.750 And yet those are the dead ends that it appears that Brian Hooker and Mary Holland and CHD and Andrew Wakefield and Del Bigtree are all happy to run us back and forth between free speech, adjuvants, free speech, adjuvants, choice, free speech, adjuvants, autism, when the truth is right there. 01:15:50.678 --> 01:15:53.185 Intramuscular injection is dumb. 01:15:53.686 --> 01:15:55.010 It's not medicine. 01:15:56.394 --> 01:15:58.840 It is complete loss of sovereignty. 01:16:04.366 --> 01:16:11.528 As I understand that the efficacy is not an infection rate, it is producing these antibodies that they claim will be there. 01:16:11.588 --> 01:16:16.390 So they don't know whether you can be infected or it's going to lower the infection or even mortality rate. 01:16:16.650 --> 01:16:21.252 So really with this efficacy, when they say it's 90% effective, that's not from getting you infected. 01:16:21.432 --> 01:16:28.274 Do you think that Brian is not capable of saying that their model of immunity is nonsense? 01:16:29.691 --> 01:16:40.794 that I've been a biologist for my whole life and I have 16 years of biotech knowledge to know that this whole model of an antibody is just dumb and they shouldn't be talking about it. 01:16:40.854 --> 01:16:44.715 It's just a very simple marker that they can point to and claim efficacy. 01:16:45.235 --> 01:16:47.036 Why wouldn't he explain that right now? 01:16:47.096 --> 01:16:48.756 Why would he instead say this? 01:16:49.236 --> 01:16:52.277 As I understand it or even lowering a mortality rate that 01:16:52.677 --> 01:17:00.462 if you believe the World Health Organization, we've played the video many times, it is a 99.4% survivable virus, probably better than that. 01:17:01.083 --> 01:17:07.507 So you guys as doctors, please talk about when, when they talk about efficacy, they're not talking about infection or mortality rates. 01:17:07.727 --> 01:17:10.269 They are only talking about the antibodies, correct? 01:17:10.949 --> 01:17:17.253 Well, the whole thing is, is all, it's just a big word soup and it's a bunch of blobby blobby blobs. 01:17:17.554 --> 01:17:22.157 I mean, it's the same kind of ridiculous predictive programming they use with the measles vaccine. 01:17:22.837 --> 01:17:24.179 Brian, you can speak to that. 01:17:24.539 --> 01:17:26.721 I mean, don't you remember the marketing that went on with Merck? 01:17:26.761 --> 01:17:30.244 They saved 21 million children with the MMR vaccine? 01:17:30.345 --> 01:17:32.166 I mean, come on. 01:17:32.487 --> 01:17:36.591 These numbers are... This is not random that she's bringing up the MMR vaccine. 01:17:36.611 --> 01:17:45.940 This is a multi-year script that also includes a Rolling Stone article about the MMR vaccine in Samoa with a certain character in it. 01:17:46.380 --> 01:17:56.008 And this is a part of that narrative that will later on appear in 2025 as a measles outbreak in Texas with Robert F. Kennedy Jr. 01:17:56.048 --> 01:18:00.032 as Health and Human Services Secretary instead of Vice President. 01:18:02.334 --> 01:18:03.835 Don't make any sense whatsoever. 01:18:03.895 --> 01:18:08.159 And they don't even have to because vaccines are 100 percent liability free. 01:18:08.567 --> 01:18:11.212 So they can put whatever they want on the outside of that label. 01:18:11.693 --> 01:18:15.018 It doesn't matter what's inside your little microchip, your little nanos. 01:18:15.219 --> 01:18:18.765 We could talk about all the different ingredients in there, which are equivalently scary. 01:18:19.446 --> 01:18:22.489 And not to mention the fact that now it's a double jab, right? 01:18:22.529 --> 01:18:25.111 You got to go and then you have to be back on day 28. 01:18:25.612 --> 01:18:26.092 That's what they're. 01:18:26.252 --> 01:18:28.434 So this is really stupid, complicated. 01:18:28.494 --> 01:18:31.477 If you could just say that intramuscular injection is dumb, right. 01:18:32.137 --> 01:18:40.505 And teach people about how their immune system is organized and why that makes perfect sense and why they can think, you know, bad food's bad, but at least you're eating it. 01:18:41.606 --> 01:18:41.746 Um, 01:18:44.657 --> 01:18:45.478 And yet they can't. 01:18:45.918 --> 01:18:55.648 And the reason why they can't and why they have to stick to the stupid, complicated model is because that's how this fifth generation warfare works in a broad perspective. 01:18:55.668 --> 01:18:59.231 They either get you to accept a stupid, simple explanation, 01:19:00.160 --> 01:19:06.186 antibodies equals immunity, or they get you to accept a, sorry, that's dumb simple. 01:19:06.787 --> 01:19:18.098 Otherwise, they get you to accept a stupid, complicated version of the story that you yourself feel lacks a level of sophistication to scrutinize it. 01:19:18.618 --> 01:19:31.889 And that's what somebody like Kevin McKernan can do to almost anyone as he talks about first his long lineage of mentors all the way back to Mark Lander and Tony Fauci and Francis Collins. 01:19:31.949 --> 01:19:36.833 And then he talks about all the things that he invented and all the patents he has and all the companies he spun off. 01:19:37.513 --> 01:19:45.180 And before you know it, he's said so many things that you don't understand that when he says that PCR is fine to detect a coronavirus, you're like, oh yeah, I guess so. 01:19:46.857 --> 01:19:59.183 And so what's happening here is that these people that aren't on script or helping the people on script are passively absorbing what appears to be people agreeing about what the most important questions to ask are. 01:19:59.683 --> 01:20:07.367 And one of those questions is definitely not, is intramuscular injection a good way to administer medicine at all? 01:20:08.267 --> 01:20:11.889 That would be a question that would make all of these questions irrelevant. 01:20:12.929 --> 01:20:16.331 They're saying for the Pfizer vaccine, you better be back on day 28 or you're 01:20:16.747 --> 01:20:18.989 immunity, quote unquote, is going to win. 01:20:20.350 --> 01:20:21.290 So that is correct. 01:20:21.911 --> 01:20:37.402 And, and the immunity, um, itself, you know, if you look at the presence of what they call neutralizing antibodies, which were, are the ones that supposedly are going to go after COVID-19, um, you, you can see that one booster is not going to be enough. 01:20:37.442 --> 01:20:45.768 This is, this is a quite a business enterprise because they're going to come back in three months and say, you know what, you have to get the vaccine again. 01:20:46.226 --> 01:20:48.467 and then you have to get two doses of the vaccine again. 01:20:48.507 --> 01:20:49.127 You can tell. 01:20:49.507 --> 01:20:51.128 It's okay for him to say that, right? 01:20:51.168 --> 01:20:52.788 Because again, this is the script. 01:20:52.808 --> 01:20:54.829 They want you to understand this is coming. 01:20:55.749 --> 01:20:58.110 They want you to understand this is gonna be the argument. 01:20:58.811 --> 01:21:03.012 He said three months, because now it's six or a year, so that seems more reasonable. 01:21:04.213 --> 01:21:06.353 Ladies and gentlemen, it is that malevolent. 01:21:07.194 --> 01:21:13.776 And you know he's reading a script when he brings up T-cells in a moment, and the way that she helps him bring it up. 01:21:15.532 --> 01:21:32.499 already just by the documentation that was submitted to the FDA that yeah you do produce some neutralizing antibodies to that the immune system does work absolutely fine and they've proven that but that because it's such a horribly imperfect imperfect 01:21:33.064 --> 01:21:37.508 immunity, then the antibody titers drop off precipitously. 01:21:38.149 --> 01:21:39.109 And so you're back. 01:21:39.169 --> 01:21:46.716 So the imperfect immunity in Brian's mind is defined in exactly the same way as the immunity itself. 01:21:46.916 --> 01:21:49.378 It's the presence or absence of antibodies. 01:21:50.359 --> 01:21:55.304 He's actually teaching these people in this Zoom meeting the slave speak. 01:21:56.164 --> 01:21:57.445 The slave speak is 01:21:58.385 --> 01:22:04.811 that immunity can be measured by antibody titers and neutralizing antibody titers in particular. 01:22:05.411 --> 01:22:15.020 And the fact is, is that these new vaccines aren't as good, what's in the back of your mind, as old vaccines because the antibodies fade away. 01:22:18.003 --> 01:22:24.509 You don't hear him say it, but I guarantee you the subconscious of all these people's minds is hearing that. 01:22:25.270 --> 01:22:30.593 because this is skepticism that's being applied specifically to the antibodies for this virus. 01:22:31.413 --> 01:22:37.977 Nobody's saying that this is the model for all vaccines and they don't give a shit, even though this guy could say it, right? 01:22:39.077 --> 01:22:40.258 He's been at it since at least 2013. 01:22:44.480 --> 01:22:54.026 Back at square one, you're basically just getting poisoned in a vial with perhaps some type of short-term immunity that they don't know whether it's going to reverse severe, 01:22:55.305 --> 01:22:56.447 prevent severe cases. 01:22:56.507 --> 01:22:59.392 They don't know if they're going to create a- Why is it poison? 01:23:00.473 --> 01:23:01.275 I don't understand. 01:23:01.335 --> 01:23:02.797 You didn't say that it was poison. 01:23:02.917 --> 01:23:03.699 Why is it poison? 01:23:05.680 --> 01:23:08.781 asymptomatic carriers with this particular vaccine. 01:23:08.801 --> 01:23:10.061 Asymptomatic carriers. 01:23:10.081 --> 01:23:14.223 It's completely a crapshoot and they're gambling. 01:23:14.303 --> 01:23:22.985 So by saying that we don't know if we're going to create asymptomatic carriers, he's reinforcing the idea that that is a possibility. 01:23:23.686 --> 01:23:27.347 And in effect, reinforcing the idea that's been around already for a whole year. 01:23:28.652 --> 01:23:39.059 That is, the reason why we have to lock down, the reason why this dangerous virus can be described as a honey badger, is because it's asymptomatic for so long. 01:23:39.119 --> 01:23:41.420 Some people are only asymptomatic. 01:23:45.043 --> 01:23:55.670 I mean, if the vaccines make asymptomatic carriers more prevalent, then this could be even a bigger disaster, and we'd have to call in somebody like Geert Vanden Bosch to explain to us what's going on. 01:23:58.704 --> 01:24:00.965 with the United States population. 01:24:01.506 --> 01:24:06.788 And 58% of the United States population has already said, yeah, they will get the COVID-19 vaccine. 01:24:07.149 --> 01:24:09.890 So this is a cataclysm that we've never seen medically. 01:24:10.550 --> 01:24:16.614 So I also want to point out today, Santa Clara County is doing door to door virus testing. 01:24:17.134 --> 01:24:17.314 Now, 01:24:17.941 --> 01:24:25.810 they are targeting lower income populations, in my opinion, because they are less likely to have the resources to fight back. 01:24:26.011 --> 01:24:29.355 It'd be crazy if they were doing door to door genome collection, right? 01:24:29.395 --> 01:24:30.276 Wouldn't that be nuts? 01:24:31.477 --> 01:24:34.601 Now, my question is, they're going to do this virus testing. 01:24:35.177 --> 01:24:46.091 And if this vaccine is only producing these antibodies, then why aren't they testing the people that may have been infected and produce the antibodies in the first place to see if they even need the vaccine? 01:24:46.611 --> 01:24:52.278 So another great question to ask is why don't we test people for antibodies after they've had it? 01:24:53.308 --> 01:25:00.410 Maybe we can put somebody who worked for pharmaceutical companies in front of people on social media in 2020 to make that exact claim. 01:25:00.931 --> 01:25:07.393 And his name is Mike, that's right, Mike Eden. 01:25:07.433 --> 01:25:16.656 We're gonna bring in Mike Eden in your starting lineup and he's gonna talk all about natural immunity and how we already have antibodies. 01:25:18.573 --> 01:25:20.654 And if we were infected, we'd have antibodies. 01:25:20.714 --> 01:25:23.594 And these people should be testing for natural immunity. 01:25:31.036 --> 01:25:32.476 That's not even talked about, correct? 01:25:33.237 --> 01:25:34.657 Of course it's not even talked about. 01:25:34.717 --> 01:25:39.498 And even Trump has said multiple times, once you get it, then you're, you're immune for life. 01:25:39.598 --> 01:25:41.098 Now, I don't know that that's the case. 01:25:41.279 --> 01:25:43.159 I know that I had COVID in February. 01:25:43.618 --> 01:25:45.940 And I tested positive for antibodies in May. 01:25:46.980 --> 01:25:53.324 And so she's sure that the tests work, and the tests work because the antibodies showed up. 01:25:54.165 --> 01:25:55.186 And so here we are. 01:25:55.406 --> 01:26:01.410 It really requires only Kendra and Brian to know that they're reading a script. 01:26:04.147 --> 01:26:05.728 It only requires those two. 01:26:06.448 --> 01:26:09.669 Everybody else is now, wow, I guess there is something going around. 01:26:09.709 --> 01:26:11.189 I mean, she says it, he says it. 01:26:11.229 --> 01:26:12.250 They're taking tests. 01:26:12.330 --> 01:26:13.050 The tests work. 01:26:13.230 --> 01:26:14.230 She's got antibodies. 01:26:14.290 --> 01:26:15.251 I mean, crazy, right? 01:26:19.332 --> 01:26:22.533 And now think about all the podcasts that these people did. 01:26:23.353 --> 01:26:29.015 All the podcasts they did, all the stub stacks they wrote, all the tweets they tweeted. 01:26:31.647 --> 01:26:34.868 It's all one national security operation. 01:26:36.388 --> 01:26:41.910 And it is the longest, most expensive science project ever in reality. 01:26:42.750 --> 01:26:43.910 The Human Genome Project. 01:26:44.091 --> 01:26:49.052 I have not retested since May, but I know that I had them three months after and that at the time. 01:26:49.488 --> 01:26:54.235 was the research that was, they said that that was the sweet spot as far as seeing antibodies. 01:26:54.957 --> 01:27:04.592 So the other thing is, and correct me if I'm wrong, Dr. Hooker, but isn't it- Correct me if I'm wrong, Dr. Hooker, as she looks down and to her right at the script. 01:27:05.973 --> 01:27:11.674 It's the B cells that actually create the antibodies in our, in our... That's the hilarious part. 01:27:11.794 --> 01:27:21.076 She knows so little about immunology that she can't even give you a, you know, dendritic cell to T cell to B cell to antibody kind of thing. 01:27:24.717 --> 01:27:27.638 She had to look down to make sure she said it right. 01:27:29.018 --> 01:27:33.619 Is it B or T that I have to say and then Brian's going to say T and which one's which and what do they do? 01:27:35.845 --> 01:27:39.506 She aware of how many different kinds of T-cells there are depending on who you talk to? 01:27:39.546 --> 01:27:40.307 Of course not. 01:27:40.887 --> 01:27:42.948 She's reading a script, so is Brian. 01:27:43.508 --> 01:27:46.749 Immune system, but this vaccine targets T-cells, correct? 01:27:47.849 --> 01:27:49.830 This vaccine also targets T-cells. 01:27:50.190 --> 01:28:03.435 The absurdity of Brian Hooker saying that intramuscular injection of a lipid nanoparticle filled with RNA targets anything makes him malevolent. 01:28:05.322 --> 01:28:14.004 The fact that Robert Malone said that Peter Cullis told him that they'd fix the targeting problem makes him malevolent. 01:28:17.524 --> 01:28:34.888 Anyone that got in front of Byram Bridle, who was trying to tell the world that they cannot target this lipid nanoparticle to any tissue, and that depending on how unlucky you get, it could go to your bone marrow, or to your ovaries, or to your testes, or to your heart lining, or to your brain. 01:28:39.429 --> 01:28:47.773 There is no other conclusion to come to because I worked for this guy for a half of a year and he pretended to be the first time he'd ever heard transfection. 01:28:48.213 --> 01:28:54.436 Wow, we should do a whole podcast about this, Jay, and you can explain how it's always been transfection. 01:28:55.716 --> 01:29:00.678 Because I didn't do it when I could have done it and saved all of the college kids in America. 01:29:01.959 --> 01:29:08.802 That's what Brian Hooker should have told me when I did my podcast for CHD before they fired me for talking about Robert Malone. 01:29:12.045 --> 01:29:31.991 We could have avoided all of this if it wasn't for the coordinated effort of people who asked the wrong questions consistently in groups of people to convince them of the existence of the virus, the problem, the crisis, and the choices that needed to be made. 01:29:35.792 --> 01:29:39.253 Nobody is in this narrative by chance because 01:29:40.808 --> 01:29:42.389 Social media allows it. 01:29:45.070 --> 01:29:51.213 They can make it seem like it's all big random argument, but it's not little happy accidents. 01:29:51.393 --> 01:29:54.555 It is all by design, by military programming. 01:29:56.647 --> 01:30:00.470 understand, ladies and gentlemen, that testing has become a remnant stream. 01:30:00.570 --> 01:30:02.472 They sell remnants. 01:30:02.632 --> 01:30:13.820 In America, there is still the impetus to circumcise young baby males in order to get their foreskin and use it for culture, to sell it to the highest bidder. 01:30:14.281 --> 01:30:22.067 There is still ongoing the sale of cesarean section placentas because they are sterile. 01:30:28.325 --> 01:30:43.075 And this is going on in the same hospitals that are now testing everyone and everyone and everyone all the time under the pretense that PCR is a great medical standard, despite the fact that the FDA is now toothless. 01:30:44.156 --> 01:31:03.480 under an emergency till 2029, and the person that is in office at the HHS is not interested in ending this remnant stream, but as his running mate in 2024 declared, he would be interested in combining this data just like 01:31:05.364 --> 01:31:18.212 2016 Joe Biden wanted to do the genomic data and the habits and the consumer and the behavior and the medical data all together from all these countries says Shanahan. 01:31:19.833 --> 01:31:22.774 Because we all want to solve the problem of chronic disease. 01:31:22.814 --> 01:31:25.556 We all want to solve the problem of cancer. 01:31:27.417 --> 01:31:27.997 No, we don't. 01:31:28.157 --> 01:31:30.459 We all want to solve the problem of the human genome. 01:31:32.213 --> 01:31:43.838 The vaccine schedule is the inversion of your sovereignty so that your children accept the next step, which is all of your data. 01:31:45.198 --> 01:31:54.862 And more importantly, all of what gets injected into you will be designed and tracked and monitored in real time. 01:31:56.257 --> 01:32:04.121 You know, they actually tried to do this with the homeless people in Austin, you know, where Pauly Tommy and Andrew Wakefield have their big ranches. 01:32:05.242 --> 01:32:15.548 In Austin, they tried to do it with blockchain to track all the medical and financial data of homeless people during the pandemic. 01:32:16.715 --> 01:32:19.677 They're going to do it to our kids, ladies and gentlemen. 01:32:19.717 --> 01:32:21.117 It's the Human Genome Project. 01:32:21.718 --> 01:32:29.862 That's why there's no epidemiological evidence of spread and nobody tells you about it except for some actor like Denny Rancourt. 01:32:31.643 --> 01:32:40.548 No one in America, no actuary is going to tell you that there was an anticipated rise in all-cause mortality that even Ted Turner was worried about back when he looked young. 01:32:42.927 --> 01:32:45.568 that all of these Western nations were gonna have to deal with. 01:32:45.609 --> 01:32:49.551 Let me make myself micro for a second and look at this data. 01:32:50.791 --> 01:32:53.193 That's not a biological phenomenon over there. 01:32:56.315 --> 01:32:56.935 That's murder. 01:32:57.775 --> 01:32:58.556 That's lies. 01:33:02.611 --> 01:33:12.573 And it's on the back of an anticipated rise in all-cause mortality, which makes it even more malevolent, as Kim Iverson so eloquently said, because that means they knew. 01:33:12.653 --> 01:33:13.953 They did just, what? 01:33:14.793 --> 01:33:15.954 But the data's right there. 01:33:15.994 --> 01:33:17.514 You can see it in this graph. 01:33:17.594 --> 01:33:23.695 Moving up, they knew that the hospitals were gonna be full of old people, that we were gonna need more old folks homes. 01:33:24.936 --> 01:33:26.796 And old people die of pneumonia. 01:33:27.734 --> 01:33:29.375 It has a little bump every winter. 01:33:29.435 --> 01:33:31.076 See, it's every winter there's a little bump. 01:33:31.116 --> 01:33:32.137 It's okay, it's fine. 01:33:32.617 --> 01:33:37.561 You don't need to explain that to understand that what's happening during the pandemic is not this. 01:33:38.101 --> 01:33:40.863 And what's happening now seems to be this again. 01:33:45.867 --> 01:33:49.029 This is how they sculpted the murder with sophisticated. 01:33:49.049 --> 01:33:51.731 This is how they sculpted this anticipated rise. 01:33:53.427 --> 01:33:58.694 They neglected the opioid crisis to get the decrease in life expectancy. 01:33:58.854 --> 01:34:07.246 They use supplementary oxygen at the door in hospitals and attributed any symptomatic progression to COVID. 01:34:08.473 --> 01:34:15.319 That's how simple it is because supplementary oxygen is toxic and causes acute respiratory distress syndrome. 01:34:15.339 --> 01:34:30.193 And so any doctor that hears this message and understands that in 2020 or 2021, they were using supplementary oxygen without understanding it, they need to understand that they may be guilty of manslaughter or murder. 01:34:30.213 --> 01:34:33.076 Maybe it's manslaughter, I don't know what it is, but you're guilty of something. 01:34:34.349 --> 01:34:48.017 And the only reason, the only excuse you have is that they, in a military style, precision, they put people on social media to make sure that you didn't understand, including the supplementary oxygen part. 01:34:49.658 --> 01:35:00.865 They probably put people on the administration or made sure that the administrators of hospitals understood that under no circumstances should you talk about this, that we need to have more supplementary oxygen. 01:35:01.636 --> 01:35:04.217 And they might not have had the sophistication to understand it. 01:35:04.257 --> 01:35:09.318 And then they sent the old, the old attendings home and they let the residents run the hospital. 01:35:09.378 --> 01:35:10.138 And then here we are. 01:35:12.459 --> 01:35:21.601 And what I'm suggesting is that they put people on the internet, a team of performers that pretended that something else was going on and argued about it very, very vigorously. 01:35:23.862 --> 01:35:26.022 And those are the people that I came into contact with. 01:35:26.062 --> 01:35:29.623 Those are the people that I think are controlling people like Robert F. Kennedy Jr. 01:35:31.226 --> 01:35:33.408 controlling him with an illusion of consensus. 01:35:33.468 --> 01:35:38.051 No matter who he talks to in this picture, they're all gonna tell him, oh yeah, definitely a virus. 01:35:38.091 --> 01:35:39.512 That Jonathan Cooey guy's nuts. 01:35:43.956 --> 01:35:46.278 Even though I think we almost got there. 01:35:46.318 --> 01:35:47.398 We almost broke it. 01:35:48.179 --> 01:35:49.140 That's why it's in the book. 01:35:52.338 --> 01:35:58.721 So remember on my website, you can download the McKinsey Global Institute PDF of the dependency and depopulation. 01:35:58.781 --> 01:36:06.784 You can see why this problem is ongoing and coming along and has been anticipated and what the consequences might be. 01:36:06.904 --> 01:36:13.066 Our children are going to inherit a different earth than we grew up on, and certainly our grandkids will. 01:36:13.707 --> 01:36:21.890 And so we need to send them into that future with the knowledge and understanding that we have been able to 01:36:23.413 --> 01:36:49.922 together during the last five years and make sure that the illusion of consensus created by these actors is not something that they inherit as an understanding of the world, but instead understand American history as having dodged a bullet with regard to this operation, whatever it is, that's supposed to invert our sovereignty on a global level to experimental animal status. 01:36:51.138 --> 01:36:54.200 These people have put themselves in front of us, and so they're easy to see. 01:36:54.260 --> 01:36:56.262 All you have to do is look at their time frames. 01:36:58.163 --> 01:37:10.432 I'm being told by people that I trust that Edward Bernays and that Noam Chomsky might not be good guys, that they might be on the same team as this impetus to control the species. 01:37:13.223 --> 01:37:22.032 But nevertheless, I would like to point out that the words that they use to describe what's going on can help people to understand what is happening. 01:37:23.334 --> 01:37:32.263 I do think that Edward Bernays' words are worth reading and understanding, even if there's a darker part of them that is not codified here. 01:37:33.325 --> 01:37:45.398 that this is the bleached or safe message of Edward Bernays and the much more malevolent version of it that he would say in the presence of the overclass is different. 01:37:45.758 --> 01:37:47.540 Same with Noam Chomsky. 01:37:47.580 --> 01:37:48.961 Maybe he could say it even better. 01:37:49.762 --> 01:37:52.885 when he's with his cigar-smoking Epstein Island friends. 01:37:52.965 --> 01:37:53.465 I don't know. 01:37:53.886 --> 01:38:02.473 But I do think for somebody who doesn't understand what's going on, these are an interesting way to start thinking about it and realize that it's all been out there. 01:38:02.493 --> 01:38:06.796 They've been telling us for generations already that this is how we would be governed. 01:38:06.856 --> 01:38:14.402 And social media has allowed this governance by limited spectrum of debate to become very, very weaponized. 01:38:15.535 --> 01:38:17.158 Very, very, very dangerous. 01:38:17.779 --> 01:38:28.916 And that's why I think terms like Lollapalooza of liars or team worst case scenario can provoke the right idea of how bad it is if these people are willing to lie to us in concert. 01:38:30.913 --> 01:38:57.476 That's why it's important, again, to realize who said what when, who brought out who when, and who has ties to what with whose dad, and whose dad's worked for what, and who's made millions doing what, because these all line up in the wrong way, all the way to Shanahan and her statement about how we're gonna use AI to solve all of humanity's problems. 01:39:00.441 --> 01:39:02.302 Transfecting healthy people is nuts. 01:39:03.582 --> 01:39:06.183 Brian Hooker in 2013 might've said that. 01:39:06.583 --> 01:39:09.524 Brandy Vaughn, happy birthday, might've said that. 01:39:10.564 --> 01:39:18.647 Brandy Vaughn said injection versus ingestion was the comparison that you needed to do in order to understand how malevolent the vaccine schedule was. 01:39:19.087 --> 01:39:22.948 Brian Hooker was a contemporary of hers, so I have no doubt that he's heard that argument. 01:39:23.468 --> 01:39:24.569 But in 2020, he chose not to offer it. 01:39:27.768 --> 01:39:43.922 not to tell people that it was transfection, not to even question PCR as a diagnostic, even though as a 16-year veteran of transforming and transfecting plants, he most certainly used PCR on an almost daily basis, if only to find out which plants took up his gene. 01:39:45.723 --> 01:39:52.169 And so he could have told you why PCR as a diagnostic is a fraud or why overcycling was not the point. 01:39:53.462 --> 01:39:58.005 He could have told you that the only thing that these people have is synthetic recombinant genetics. 01:39:58.045 --> 01:39:59.666 They can make a lot of DNA. 01:39:59.706 --> 01:40:03.568 That's all he knew for sure and could have told you in 2020, I know. 01:40:03.588 --> 01:40:09.171 He could have told me that he knew this when I worked for him, but he didn't. 01:40:10.532 --> 01:40:14.894 He just plays dumb because he's just building a big top tent of health freedom. 01:40:14.914 --> 01:40:17.416 He's not trying to save or stop anything. 01:40:19.077 --> 01:40:20.818 Save anyone or stop anything. 01:40:22.369 --> 01:40:24.211 So they can make pure quantities of DNA. 01:40:24.231 --> 01:40:26.372 If they wanted to find it anywhere, they could put it there. 01:40:26.532 --> 01:40:27.493 That's the bottom line. 01:40:29.475 --> 01:40:32.637 We can talk about all the different ways that that could manifest itself. 01:40:32.958 --> 01:40:41.324 But if you have Brian Hooker in 2020 calling transfection a vaccine, that makes Brian 01:40:42.338 --> 01:40:42.839 culpable. 01:40:43.519 --> 01:40:46.602 It makes Brian part of it because he was sophisticated enough. 01:40:46.802 --> 01:40:51.106 He has the experience to know that he should have called it transfection or transformation. 01:40:51.546 --> 01:41:00.574 He had the experience like I did to know that there was a difference between the adenovirus transformation and the lipid nanoparticle transfection. 01:41:03.697 --> 01:41:06.640 And I think that it's terrible that he didn't tell us. 01:41:08.387 --> 01:41:10.989 because during that same year, I was trying to tell everybody. 01:41:11.669 --> 01:41:14.171 I think the only way they got away with it is with a placebo. 01:41:14.211 --> 01:41:16.532 I think that maybe is the way they've always got away with it. 01:41:17.953 --> 01:41:27.540 I think they get away with it because they even use endemic as a word that you can describe like the culture at work has racism kind of endemic to it. 01:41:30.762 --> 01:41:33.364 The culture of Congress has corruption. 01:41:33.404 --> 01:41:34.965 It's like endemic to Congress. 01:41:36.499 --> 01:41:38.119 This is a mythology. 01:41:38.319 --> 01:41:40.040 It is a enchantment. 01:41:40.060 --> 01:41:41.820 It is a semantic enchantment. 01:41:42.160 --> 01:41:46.021 A molecule cannot go from a mud puddle to endemicity. 01:41:46.682 --> 01:41:48.022 RNA cannot pandemic. 01:41:48.062 --> 01:42:00.965 But a background could be misconstrued as a pandemic just using nonspecific PCR tests, especially if the goal was to just get everybody to submit to medical and genetic testing in perpetuity. 01:42:01.465 --> 01:42:04.906 You know, like the Human Genome Project has wanted for like 25 years. 01:42:10.213 --> 01:42:11.755 Thank you very much for joining me, everybody. 01:42:11.775 --> 01:42:13.177 See you again very soon. 01:42:13.337 --> 01:42:15.239 I don't know if I'm taking the weekend off yet or not. 01:42:15.259 --> 01:42:17.101 I probably am, but I don't know. 01:42:18.763 --> 01:42:22.748 We'll see how the wave of stuff comes from Kim's show. 01:42:22.888 --> 01:42:25.571 Please share that one far and wide and share this one as well. 01:42:25.992 --> 01:42:26.613 Thanks for being here. 01:42:26.633 --> 01:42:27.274 See you again soon.