WEBVTT 00:58.860 --> 01:02.024 Now, Dr. Gallo and Dr. Fauci talked a lot about isolation and purification. 01:02.504 --> 01:04.286 Can you tell me what the difference is between the two? 01:06.308 --> 01:07.069 Isolation, what was it? 01:07.230 --> 01:08.411 Isolation and purification. 01:10.153 --> 01:10.874 Of the virus? 01:10.974 --> 01:11.174 Yes. 01:12.435 --> 01:14.197 Well, you isolate a virus by 01:20.982 --> 01:23.464 finding the virus which causes a disease. 01:24.125 --> 01:28.989 You purify a virus by making a lot of, I mean just by purifying it so you get a pure virus. 01:29.790 --> 01:31.511 I don't understand what the issue. 01:31.531 --> 01:31.711 I see. 01:31.731 --> 01:33.293 No, it depends on how they use it. 01:46.445 --> 01:48.387 Well, didn't Dr. Gallo do that? 01:48.467 --> 01:50.308 I mean, he actually isolated it. 01:50.568 --> 01:54.512 So, I mean, why should I do all of this? 01:54.572 --> 01:56.633 This is all textbook stuff you're asking me. 02:02.378 --> 02:07.983 It doesn't matter much at all what you believe about vaccines until we invent really important ones. 02:08.643 --> 02:20.891 you know, until we have a pandemic that's killing everyone, you know, and, you know, it's not, it's, you know, measles plus, you know, okay, I can tolerate what you think about measles because, you know, not that many people die from it. 02:21.171 --> 02:25.294 It's just a big hassle in the end, but no one, 02:26.274 --> 02:39.484 when we have this new pandemic that is, you know, got 75% mortality and it's not, it's, there'll be no pretense of being polite in the face of these beliefs. 02:39.544 --> 02:42.046 It'll be a moral emergency because it has to be. 02:49.468 --> 02:51.989 just it's literally turning into a worst-case scenario. 02:52.009 --> 02:54.950 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 02:54.970 --> 02:57.791 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 02:57.811 --> 03:00.391 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:00.411 --> 03:02.892 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:02.912 --> 03:04.953 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:05.253 --> 03:07.533 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:07.554 --> 03:09.894 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:09.914 --> 03:12.495 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:12.535 --> 03:15.756 I'm afraid that the latest data tells us that we're dealing with essentially a worst-case scenario. 03:16.653 --> 03:35.165 Jonathan, who's going to talk about his latest distillation of what the pandemic means to society, to biology, to science, and to democracy, and to the whole kind of idea of empiricism and integrity. 03:35.185 --> 03:44.751 And then each of us, this incredible preeminent panel that we have, each one of you is going to get a chance to comment 03:46.969 --> 03:48.510 I think truth is good for kids. 03:48.950 --> 03:52.791 We're so busy lying, we don't even recognize the truth no more in society. 03:53.231 --> 03:54.892 We want everybody to feel good. 03:55.012 --> 03:57.252 That's not, that's not the way life is. 03:59.753 --> 04:03.674 But you can tell if someone's lying, you know, you can sort of feel it in people. 04:05.475 --> 04:06.195 And I have lied. 04:06.215 --> 04:07.255 I'm sure I'll lie again. 04:07.275 --> 04:08.196 I don't want to lie. 04:08.676 --> 04:10.036 You know, I don't think I'm a liar. 04:10.136 --> 04:11.157 I try not to be a liar. 04:11.197 --> 04:12.057 I don't want to be a liar. 04:12.617 --> 04:15.338 I think it's like really important not to be a liar. 04:17.638 --> 04:19.138 I don't care how you get there. 04:19.158 --> 04:22.039 I don't care what you do to get there. 04:22.379 --> 04:23.279 The goal is to win. 04:48.625 --> 04:49.386 Yeah. 05:17.244 --> 05:17.544 Yeah. 06:25.456 --> 06:25.937 Yeah. 07:34.801 --> 07:41.605 Ladies and gentlemen, intramuscular injection of any combination of substances with the intent of augmenting the immune system is dumb. 07:42.186 --> 07:48.730 Transfection in healthy humans was always criminal, and RNA cannot pandemic because viruses are not pattern integrities. 07:49.430 --> 07:50.811 Welcome to the show, ladies and gentlemen. 07:50.831 --> 07:55.754 This is GigaOM Biological, a high-resistance, low-noise information brief brought to you by a biologist. 07:56.334 --> 07:57.315 My name is Jonathan Couey. 07:57.355 --> 07:59.536 I'm coming to you live from the back of my garage. 07:59.616 --> 08:03.239 This is, again, one of the only places where you can find 08:04.219 --> 08:09.664 someone scrambling for the opening of the trap, trying to help everyone get out. 08:10.685 --> 08:17.231 This stream is made possible by the people on the left there and a few who are not on that list. 08:17.891 --> 08:20.914 Thank you very much to all of those people who make this possible. 08:22.796 --> 08:29.802 We are again trying to pass on a new interpretation of our biology, a new interpretation of 08:30.731 --> 08:35.256 the irreducible complexity that is the natural world around us. 08:36.117 --> 08:49.553 We're trying to take back the mystery of life and trying to extricate ourselves as adults from what I have come to understand as a very, very large mythology. 08:50.854 --> 09:00.766 that actually edifies all of modern academic biology, and that mythology can essentially be distilled to three words, evolution because DNA. 09:01.827 --> 09:03.509 I think that there is a way out. 09:03.589 --> 09:07.693 I think that there is a way out by using very succinct language to challenge people's 09:08.274 --> 09:09.815 presuppositions about things. 09:10.615 --> 09:16.019 An example of that might be intramuscular injection is the single worst way to be exposed to a toxin. 09:16.539 --> 09:26.205 That might get biologists as well as, you know, parents and doctors and even gas station attendants to think differently about what they know about intramuscular injection. 09:26.605 --> 09:33.009 And that is my goal with this stream every day to try and find new ways to snap people out of the enchantment that we've been placed in. 09:33.850 --> 09:40.868 And it is important for me now at the beginning of the stream to try and articulate what we're really trying to do here. 09:43.601 --> 10:10.541 We are trying to present a new model of how to understand the world so that people can re-evaluate their experiences, their observations, and what they think they understand about themselves and their health, as well as the history of the United States in a different context, in the idea of them using biology and medicine and 10:12.435 --> 10:28.080 and how we understand ourselves to be as a way of undermining our spirituality, as a way of undermining our connection to God and creation, as a way of undermining our idea of the sovereignty of the individual. 10:28.920 --> 10:38.423 All of these things are being collectively accomplished by bamboozling us about our biology and making us believe that evolution is real because we found DNA. 10:39.909 --> 10:51.721 And I think that we can save our children from this mythology and save our children from being enslaved by it by teaching them a new way of seeing themselves and their place in nature. 10:52.402 --> 11:01.652 And that is by seeing life on earth and life anywhere else in the universe as a pattern integrity that has a trajectory across time. 11:02.910 --> 11:19.046 And understanding how that pattern integrity comes into being and is maintained is the mystery of life that we have not even begun to scratch, even though old bad biology would tell us that we're a decade away from having answered all the meaningful questions. 11:22.197 --> 11:35.276 It's important to understand also that yesterday I also took a swing at this, that our imagination is equipped with certain tools and a lot of times that those tools are basically words. 11:36.860 --> 11:41.503 Words are concepts and words can be enchantments if they are used correctly. 11:41.543 --> 11:44.585 This is just a quick plug for JC on the hardwood, my newest project. 11:44.625 --> 11:47.647 I'm going to go film another one after lunch today. 11:47.667 --> 11:53.771 I'm really excited about it because I really think it's going to be something that they're just going to have to ignore and we can say whatever we want to. 11:53.831 --> 11:57.074 And more importantly, we can say it on YouTube very shortly. 11:59.455 --> 12:09.562 So on a way back Wednesday, my idea is to point out to you how I think this enchantment is cast and how it is maintained. 12:09.602 --> 12:18.368 And the way it is cast and maintained is that they bamboozle us, they trick us, they coerce us, they scare us into using their words. 12:19.869 --> 12:27.695 And if we use their words, constrained by their definitions, then we are already trapped in their 12:29.099 --> 12:30.439 limited spectrum of debate. 12:30.559 --> 12:46.884 If we only use the weapons that we're given, only the weapons that we find hanging on the wall, and those weapons are gain-of-function research, RNA virology, DNA is genes, evolution is real, then it doesn't matter what weapons we choose, we're gonna lose. 12:49.986 --> 13:01.320 And that, I believe, is a way to understand the contributions of someone like Joshua Lederberg, who, for example, gave us a lot of these concepts and the words to describe them. 13:01.360 --> 13:07.607 And so when we go to the wall to choose a weapon to fight somebody and argue about this stuff, we're choosing weapons like 13:08.348 --> 13:13.932 the microbiome and plasmid because he made those words up and designated what they mean. 13:14.312 --> 13:22.698 And so even the very cartoon images that are evoked in our mind when certain words are used are enchantments. 13:24.179 --> 13:36.308 And now what I would like you to see as the confession of a recovering academic biologist is that that's what happens in academic biology, but in a much more rapid and thorough sense. 13:37.270 --> 13:58.408 We meet people each day and colleagues each day, as well as people on the internet or people at conferences who tell us stories about concepts that have names and sophisticated names and subnames and subcategories, and then they explain to us what they mean, and then we go away with that new tool set. 13:59.127 --> 14:01.928 that we think that we can apply to other questions that we have. 14:02.328 --> 14:13.614 And so once you accept the idea that these are useful concepts and that we can find more useful concepts by talking to other people that follow these concepts, then you realize that the 14:14.824 --> 14:25.247 near exponential growth of false or at least inadequately tested models of reality are just everywhere. 14:26.368 --> 14:30.029 We're just covered in them now, we're lost in them, and in fact, we're being governed by them. 14:30.609 --> 14:36.731 And it is a result of our language being so powerful in our mind and us not understanding it. 14:37.622 --> 14:41.446 They want us to think that, oh, AI is getting so smart because it's figured out language. 14:41.566 --> 14:44.269 No, language isn't that complicated. 14:44.409 --> 14:48.213 And they have understood how to use language against us for generations. 14:48.994 --> 14:53.558 That's why the slide in the beginning with Edward Bernays is so important. 14:53.718 --> 14:58.163 In 1924, they already understood that manipulating people was important to governing them. 14:59.554 --> 15:19.344 And now I and many others have been making the argument for a while and I think it should be at the foremost of every argument that allowing social media to be the substitute for free speech and communication is going to result in our enslavement because it is an illusion and they can create whatever illusion they want with that social media. 15:19.524 --> 15:21.285 They can create whatever illusion they want. 15:24.778 --> 15:35.846 And so with the way back Wednesday today, I just thought I would hit a gong that I haven't hit in a while, and... That would be the bell. 15:35.906 --> 15:38.087 I'm gonna ring the bell of the Scooby-Doo. 15:39.028 --> 15:42.830 I'm gonna switch over here to the bottom side here. 15:43.051 --> 15:43.931 Hold on one second. 15:45.152 --> 15:46.413 Oops, that should be cut there. 15:49.595 --> 15:51.977 So, yeah, we are here. 15:53.462 --> 15:56.944 And actually the Scooby-Doo mystery was solved in 2023. 15:57.265 --> 16:01.067 Now, in case you're a new viewer, you might not know what the Scooby-Doo mystery is. 16:01.147 --> 16:06.111 If you're a viewer from another country, you might not know what the Scooby-Doo mystery is. 16:06.311 --> 16:08.913 The Scooby-Doo is actually a dog. 16:08.973 --> 16:09.653 It's a Great Dane. 16:09.693 --> 16:11.995 Oops, talking to the wrong camera. 16:12.055 --> 16:14.036 The Scooby-Doo is a dog. 16:14.336 --> 16:20.481 It's a Great Dane that can talk and has three teenage friends or four teenage friends. 16:21.781 --> 16:24.642 and they ride around in a green van called the Mystery Machine. 16:25.482 --> 16:47.710 And the cartoon that was on the Saturday mornings when I was a kid, these intrepid teenagers would be just driving around through different random towns in America and always run into some weird monster that was haunting a town or harassing a football team or something like this, or protecting a mine. 16:48.670 --> 16:59.835 it would always turn out to be that they would unmask the the monster and find out that it just was glow-in-the-dark powder and the mask underneath the mask is some guy from earlier in the show. 17:01.295 --> 17:12.359 And so my argument for the last few years has been that the national security state has described to us many different kinds of exercises 17:13.996 --> 17:18.901 Event 201 is the one that everybody points at and says, oh, look at all the people sitting around the table doing this stuff. 17:18.941 --> 17:23.305 But of course, there's a whole long list of them that goes all the way back to Dark Winter. 17:24.786 --> 17:29.731 But there's also things like Crimson Contagion and the SPARS pandemic document. 17:30.452 --> 17:32.634 And all of these documents describe 17:34.264 --> 17:44.869 a hypothetical scenario where it is necessary for the government to control the messaging and to get the messaging out so that people's lives are saved from a potential epidemic. 17:46.070 --> 17:55.895 And interestingly, in none of these stories, in none of these stories is there a detailed way in which the government might control the narrative. 17:56.784 --> 18:17.129 And I'm suggesting that in retrospect, it has become obvious to me that what they did and the script that they played was a script where the highest levels of officials, all the way up to Rand Paul and Tony Fauci, would publicly seed a narrative about the cover-up of a lab leak. 18:18.174 --> 18:22.397 And so they would need people who understood that there was a potential for lab leaks. 18:22.997 --> 18:28.541 They needed people already in place that already argued about lab leaks, that said that they were a danger. 18:29.202 --> 18:36.987 They needed already the danger to be well-described in the form of gain-of-function research, and people already in place complaining about it, and they had that. 18:38.345 --> 18:48.954 And then they orchestrated a theater where on social media, it felt like the actual mystery and the truth was being revealed specifically on Twitter. 18:50.975 --> 18:53.918 And then specifically censored on Twitter. 18:54.058 --> 19:04.346 And that's what drove people off of LinkedIn and Twitter and onto Gab and Telegram during the pandemic, because Twitter was being censored. 19:04.386 --> 19:05.688 Then Twitter got bought. 19:06.633 --> 19:08.374 Then Elon Musk made it free. 19:09.414 --> 19:19.618 And somewhere in 2023, it became obvious that Rand Paul was right, that Tony Fauci had covered it up, that they had given money to EcoHealth Alliance, that EcoHealth Alliance had written a proposal. 19:20.098 --> 19:24.140 And that proposal revealed that they were going to put fear and cleavage sites into bat caves. 19:26.923 --> 19:51.709 And of course, people were available in 2020, already very early people, very dubious people like James Lyons Weiler, not some academic molecular biologist, virologist coming out and saying, whoa, this has got a fear and cleavage site, but some guy who in 2019 was telling us that viruses that we vaccinate for are still circulating asymptomatically in the background. 19:54.577 --> 19:57.540 A guy who wrote a book about the genetic causes of autism. 20:01.205 --> 20:02.146 It's extraordinary. 20:03.584 --> 20:06.325 And so this mystery was seeded by these people. 20:06.385 --> 20:09.785 And over the course of five years, we have come to believe it. 20:10.165 --> 20:25.349 Both sides of the narrative, the red and the blue, the Democrats and the Republicans now have basically come to believe that, well, maybe the Democrats think that it's not likely that it happened, but it could happen and whatever, it doesn't matter. 20:25.749 --> 20:26.669 We need to regulate it. 20:27.970 --> 20:35.432 And the Republicans are just even more convinced than they were in 2020 that there was a lab leak, like me. 20:35.692 --> 20:37.733 I was supposed to be on that team still. 20:38.673 --> 20:40.054 That's why they put me in this book. 20:40.094 --> 20:44.955 They wanted me to be the guy to carry the flag for CHD, that it was a lab leak. 20:45.695 --> 20:48.196 And had I done it, I would have been on Tucker Carlson by now. 20:52.142 --> 20:53.723 Breaking tonight, it's official. 20:53.964 --> 21:05.014 The Wall Street Journal reporting today that the Energy Department, joining the FBI in their assessment, has now concluded that a lab leak is indeed the most likely origin of the global COVID pandemic. 21:05.454 --> 21:13.342 This is based on new intelligence reports and crucially involves the assessment of the national laboratories, which are part of the Department of Energy. 21:14.042 --> 21:14.563 evening, everyone. 21:14.583 --> 21:15.725 Welcome to the next revolution. 21:16.205 --> 21:23.856 You heard it here first as we so we've got to have got to have some, some guy with a foreign accent on the television. 21:24.157 --> 21:29.364 And this is in 2023, where they're announcing the fact that it's no doubt a lab leak. 21:30.125 --> 21:30.526 No doubt. 21:34.138 --> 21:38.380 We were the first on television to lay all this out more than two years ago. 21:38.760 --> 21:40.741 It was dismissed as a conspiracy theory. 21:41.021 --> 21:45.242 But now, thanks to this new assessment, our original reporting has been vindicated. 21:45.782 --> 21:49.144 Remember, this is not just about the leak itself and the cover-up afterwards. 21:49.504 --> 21:51.925 We must hold the Chinese regime accountable for that. 21:52.845 --> 21:54.567 Even more important is this point. 21:55.368 --> 21:58.291 What were they working on in that lab and why? 21:58.971 --> 21:59.472 The answer? 21:59.992 --> 22:06.018 Gain-of-function virus enhancement that was not just funded by Fauci, but commissioned by him. 22:06.599 --> 22:12.184 And as we reported in January 2021, he broke Obama and Trump administration rules to do it. 22:12.785 --> 22:17.208 Fauci, more than any other person or organization, is the one who must be held accountable. 22:17.809 --> 22:28.136 Joining us now, someone who is rightly fired up about this and put out an incredibly strong statement as soon as this news broke today, newly announced 2024 presidential candidate, Vivek Ramaswamy. 22:28.156 --> 22:29.117 Vivek, great to see you. 22:29.437 --> 22:35.101 We'll talk about your presidential message in a moment, but just your reaction to this news today. 22:36.533 --> 22:39.614 So this is out of a dystopian science fiction novel, Steven. 22:39.654 --> 22:42.135 You're right, you were among the very first on this. 22:42.615 --> 22:48.056 The very research that was conducted to supposedly- Speaking of a dystopian science fiction novel. 22:48.076 --> 22:48.996 Actually created one. 22:49.116 --> 22:51.837 And I think there are two prongs of accountability here. 22:52.257 --> 22:57.559 One is accountability for China and for the CCP, which tried to sweep this under the rug. 22:57.679 --> 22:58.979 And this will not go lightly. 22:59.319 --> 23:02.260 The US needs to lead the way in holding China accountable. 23:02.800 --> 23:10.509 But we only have moral standing to hold China accountable if we hold those accountable here at home that purposefully evaded U.S. 23:10.589 --> 23:15.996 constraints on gain-of-function research to anyway go through the back door and do it abroad anyway. 23:16.336 --> 23:18.138 And I think that accountability starts at home. 23:18.499 --> 23:22.704 Then we have the foundation to deliver accountability to the Chinese Communist Party. 23:23.084 --> 23:28.397 And it's also a lesson in free speech and open debate having prevented us from getting to this answer sooner. 23:28.778 --> 23:31.965 If we don't learn from our mistakes, we're just going to keep repeating them. 23:32.226 --> 23:33.047 That's the lesson of today. 23:34.249 --> 23:39.273 It's an incredibly strong message that you put out on this today, and I've just echoed there. 23:39.373 --> 23:52.482 One particular thing I want to highlight from your longer statement today was that you talked about criminal prosecutions for those responsible for that second part, those who broke rules to push forward this research. 23:52.522 --> 23:54.724 Of course, Fauci prominent amongst them. 23:55.004 --> 23:57.246 You could put in there Francis Collins, head of the NIH. 23:57.426 --> 23:58.566 Oh yeah, get Francis in there. 23:58.586 --> 24:00.508 Could you elaborate on that, the criminal aspect here? 24:01.550 --> 24:04.931 Yes, and I think here the facts are going to depend on whether there was intentionality. 24:04.971 --> 24:17.297 But I think there's good reasons for there to be a criminal investigation opened into this matter of whether these federal officials knowingly skirted a federal prohibition on a form of research that they wanted to conduct anyway. 24:17.677 --> 24:21.619 Many of them were on the record, objecting to this restraint on federal research. 24:21.999 --> 24:24.780 But this reveals really what's going on in the United States. 24:25.240 --> 24:29.601 Today, Steve, the people who we elect to run the government are not the ones who actually run the government. 24:29.942 --> 24:33.283 The real people who run the show make their own decisions anyway. 24:33.343 --> 24:41.705 And it appears what happened here is that they then privately used government money and public funds to be able to fund the same sort of research that the U.S. 24:41.785 --> 24:42.646 banned here in the U.S. 24:42.966 --> 24:44.246 to do it through the backdoor abroad. 24:44.266 --> 24:48.148 If that was done intentionally, I think that is grounds for criminal liability. 24:48.468 --> 24:50.868 And I think that there needs to be, this is a global pandemic. 24:50.949 --> 24:52.189 Millions of people have died. 24:52.609 --> 24:58.470 If there's any occasion for really delivering accountability, starting here at home, I think this is the example for it. 24:58.771 --> 25:00.311 I mean, it's spectacular, right? 25:00.351 --> 25:03.012 This is exactly what I mean by a Scooby-Doo. 25:03.092 --> 25:20.716 He is purporting to be a guy who always wanted to unmask the right villain, always knew who the bad guys were, and is now vindicated by this, and has a very specific prescription for how we can go forward with unmasking the bad guys and bringing them to justice. 25:23.300 --> 25:29.383 And what's very cringy about this is that when I was at his place, it was like May, 2020. 25:31.164 --> 25:37.187 When I was streaming with Kevin McCarren and Charles, I mean, and Paul Cottrell and Eddie Edds. 25:39.048 --> 25:44.871 Those were the months of the past five years where I was really interested in the idea of a lab leak. 25:44.991 --> 25:48.093 And then at some point I realized, wait, this is not possible. 25:48.133 --> 25:49.314 This is not how this works. 25:50.134 --> 25:51.555 Something else is at play here. 25:53.052 --> 25:54.813 And I still couldn't articulate it. 25:54.873 --> 26:07.763 I hadn't learned enough, relearned enough biology to adequately understand the objection that my gut was making, that my instinct was making, that this doesn't make sense. 26:08.684 --> 26:17.411 But already by July of 2020, I had realized that the way it would make sense is if there was a background signal on which they released something. 26:18.091 --> 26:21.414 And then it doesn't matter how far it is what they released goes, 26:22.472 --> 26:31.297 because if there's a background signal that overlaps with it, then you can pretend that, oh my gosh, this new car got out and it's called the Toyota and we found a few in Japan. 26:31.838 --> 26:35.340 And then you go look in your garage and you find one, holy shit, they're spread everywhere. 26:37.681 --> 26:42.364 And that's actually was my hypothesis already in 2020. 26:43.244 --> 26:47.147 And I think part of the reason why so many of these people in groups 26:48.226 --> 27:05.333 consecutively came and tried to get me back on DRASTIC's team and get me back on, focused on the lab leak and focused on the biology of the evolution of the virus and the phylogeny of it and Trevor Bedford's work. 27:06.033 --> 27:12.639 Because then that would get me off of the idea of a background signal and off of the idea that they were lying about it with fake PCR tests. 27:12.699 --> 27:19.884 And in fact, these people succeeded in getting me off of that idea for almost a year until 2022. 27:21.646 --> 27:23.548 And you can happily check my record on that. 27:24.949 --> 27:29.993 It's part of the reason why I feel so compelled to keep working on this particular problem. 27:31.388 --> 27:36.350 on bringing light to new people the idea that we were fooled into solving their mystery. 27:36.390 --> 27:39.012 And by solving their mystery, we have accepted their monsters. 27:39.492 --> 27:46.875 I don't think Vivek has been fooled into accepting their monsters, but we have by Vivek. 27:50.617 --> 27:56.379 And I also think we cannot go lightly with respect to China, who similarly has lied about this for a very long time. 27:56.700 --> 27:59.501 But I think accountability on both sides of the Pacific is crucial. 28:00.529 --> 28:03.590 What a perfect way of-of-of setting that out, Vivek. 28:03.650 --> 28:04.671 Hey, Sean Hannity here. 28:04.791 --> 28:11.834 Hey, click here to subscribe to Fox News' YouTube page and catch our hottest... So here's just another example of the same thing. 28:13.355 --> 28:22.719 Scientists are still not sure where COVID-19 originated, but the idea that it may have accidentally leaked out of a lab in Wuhan, China, is under increased scrutiny. 28:23.139 --> 28:28.782 Yesterday, my colleagues at CBS This Morning spoke with Dr. Anthony Fauci and asked him about that theory. 28:30.305 --> 28:39.197 Even though you lean towards feeling that this is more likely a natural occurrence, we always felt that you've got to keep an open mind, all of us. 28:39.738 --> 28:45.246 We didn't get up and start announcing it, but we've always said, keep an open mind and continue to look. 28:48.436 --> 28:52.619 media coverage of the lab leak theory is also in the spotlight. 28:52.679 --> 28:55.661 To talk more about this issue, I want to bring in Paul Farhi. 28:55.701 --> 28:59.083 He is a media reporter for The Washington Post. 28:59.123 --> 29:00.884 Paul, thank you so much for joining us. 29:01.384 --> 29:10.710 So, I got to say, when I read the article, the media called the lab leak story a conspiracy theory, which is the beginning of the headline, 29:11.030 --> 29:16.193 I was kind of feeling some type of ways because I thought, well, I mean, we didn't call it that. 29:16.333 --> 29:25.638 The experts we spoke to said, you know, this is unlikely or any sort of iteration of this is probably not the reason why. 29:25.658 --> 29:28.920 Um, so I was like, I'm feeling a little sensitive about this. 29:28.980 --> 29:31.141 I'll get that out of the way right at the top. 29:31.782 --> 29:35.864 Um, you know, there were, you know, some outlets including, sorry, go ahead. 29:37.733 --> 29:41.056 I'm very happy that you said that, because that's exactly the case. 29:41.796 --> 29:43.218 Reporters talk to experts. 29:43.278 --> 29:45.299 Reporters are not scientists themselves. 29:45.620 --> 29:46.881 They rely on the experts. 29:46.961 --> 29:56.549 And the experts told us in the media that it was very much more likely to have been a naturally occurring phenomenon, not a lab leak. 29:56.749 --> 30:00.392 And we reported accurately what we were told by the experts. 30:00.793 --> 30:03.575 Since then, expert opinion has changed quite a bit. 30:04.336 --> 30:09.224 There is some receptivity to the idea that it came out of the lab. 30:09.685 --> 30:14.993 And that's what's changed, more so than the media having gotten it wrong. 30:15.214 --> 30:17.537 So make no mistake about it, this is CBS. 30:18.706 --> 30:23.570 And CBS This Morning, she showed, was interviewing Fauci and said, yeah, we never ruled it out. 30:23.990 --> 30:26.091 It's not very likely, but we never ruled it out. 30:26.892 --> 30:36.739 And what I am suggesting, and I want to be very clear about it, is that this was all part of a script that they knew they were going to do over the course of three years to make sure that the clock had this much time on it. 30:38.881 --> 30:40.982 Now, we're not exactly on script. 30:41.703 --> 30:44.785 The whole script wasn't followed, but the intention was. 30:45.669 --> 30:54.809 to fool the American public and the world into arguing about the possibility of, the biology of, 30:55.495 --> 31:03.039 the likelihood of, what could be a possible mechanistic explanation of, a lab leak caused pandemic. 31:03.599 --> 31:19.287 So that by the end of the multi-year discussion, within that limited spectrum of debate, we would be left with a bunch of experts on both sides of the narrative on social media, which kind of agreed that most likely it came from a gain-of-function lab. 31:19.547 --> 31:23.029 And the point is, is that if it didn't, it still could in the future. 31:23.449 --> 31:25.030 And we all accept that. 31:27.267 --> 31:30.688 And so the enchantment is the word pandemic. 31:32.589 --> 31:42.752 Because when I say the word pandemic right now, sorry, I wanna change this here so that I have some control over that. 31:42.992 --> 31:47.274 Yes, if we, how do I say this? 31:49.334 --> 31:56.257 If every time our kids hear the word pandemic, the entire biology of RNA 31:59.187 --> 32:07.551 and contagion and antibodies and vaccines is confirmed in their head because that's what happens. 32:09.491 --> 32:18.755 That's the magic of words that have definitions that we all understand is that when you say them, those ideas are automatically turned on in your brain. 32:19.235 --> 32:23.777 And so these are very powerful, potentially very, very powerful words. 32:23.917 --> 32:26.178 When you say gender, what comes to your mind? 32:27.213 --> 32:27.814 And it matters. 32:29.115 --> 32:31.077 If you say sex, what comes to your mind? 32:31.197 --> 32:31.797 It matters. 32:32.018 --> 32:43.008 And they can program that with social media and television and media by just governing, by just changing what thoughts go through your head on a daily basis so that habits are formed. 32:44.390 --> 32:50.836 And these habits, if they're formed on ideas that are myths, then you can't logic your way out of that trap. 32:53.194 --> 33:12.280 And if they have, through the course of fear, uncertainty, and doubt, and five years of consistent lying, have gotten most people in the world to accept that they need to teach their kids that pandemic means, then we have a problem. 33:13.401 --> 33:17.122 We have a giant problem on our hands because 33:18.181 --> 33:30.824 I think the people that have been watching Giggle and Biological for a long time, following along, been in on this fight for many years, understand that this is complete mythology that even the no virus people have been protecting. 33:31.984 --> 33:35.945 And that's what's extraordinary about where we are, where in 2023, not 24, 24 is almost over. 33:40.652 --> 33:56.215 And already more than a year ago on CBS News and on Fox News, the mystery of the Scooby-Doo novel virus was already solved and already being blamed on EcoHealth Alliance and Tony Fauci covering it up and Francis Collins and boy, they better go to jail. 33:56.795 --> 34:06.057 And so now talking about pardoning them, even on social media is seeding or dropping harmonized 34:08.237 --> 34:15.283 Ideas, ideas that harmonize with this previous history that people can't remember because they have the memory of a goldfish, but it's all in there. 34:17.725 --> 34:25.531 And if you add up these last five years and everyone's exposure to social media, whether they like it or not, they're all inside of the same loop. 34:27.813 --> 34:33.217 And at the bottom of that loop, when you finally settle out the, the attractor state is, well, I guess it was a lab leak. 34:33.237 --> 34:35.099 And if it wasn't the next one could be. 34:37.159 --> 34:40.320 There's almost nobody in the world who doesn't think this right now. 34:43.742 --> 34:44.302 It's amazing. 34:46.803 --> 34:51.225 The media accurately reported what the consensus was at the time. 34:53.527 --> 34:56.609 But I see, you know, words really make a difference. 34:56.669 --> 35:02.153 And so there were words used like debunked or phrases like conspiracy theory. 35:02.654 --> 35:12.301 So how did the reporting on the coronavirus origins in the early days of the pandemic compare to what the scientific community was saying about it then? 35:12.381 --> 35:14.983 And you point out that there were experts saying that it was 35:15.643 --> 35:23.829 And so think again, remember the discipline that we're trying to hold in our head as we watch this weaponized media. 35:26.031 --> 35:29.133 What questions are they telling us are important to ask? 35:30.834 --> 35:32.335 What questions is she asking? 35:32.355 --> 35:34.517 Is she questioning the biology of pandemics? 35:36.598 --> 35:39.420 Is she questioning the biology of RNA? 35:40.761 --> 35:44.444 Is she questioning the biology of transfection or transformation? 35:45.686 --> 35:49.547 Is she questioning the biology of contagion? 35:51.208 --> 35:52.188 She's actually what? 35:52.208 --> 35:56.969 She was questioning... I mean, it's so complicated. 35:57.049 --> 35:59.430 It doesn't even make any sense what she was questioning. 35:59.450 --> 36:00.610 Hold on, I'm just gonna go back a second. 36:00.630 --> 36:02.551 Less likely to be a lab leak. 36:02.771 --> 36:04.771 But was everyone saying that in the scientific community? 36:05.091 --> 36:10.633 And you point out that there were experts saying that it was less likely to be a lab leak. 36:10.853 --> 36:12.853 But was everyone saying that in the scientific community? 36:14.254 --> 36:14.934 Right, that's still... 36:16.747 --> 36:21.531 So was everyone in the scientific community saying it was less likely to be a lab leak? 36:21.971 --> 36:25.254 Imagine how crappy of a question you could come up with. 36:25.574 --> 36:26.775 Could you come up with a worse one? 36:28.236 --> 36:33.661 Was everyone in the scientific community saying that a lab leak was less likely? 36:38.585 --> 36:42.047 And now these two people agree that that's a great question. 36:42.087 --> 36:43.088 Oh, that's a great question. 36:43.188 --> 36:43.509 I don't know. 36:43.529 --> 36:45.090 I've got a pretty long answer for it. 36:51.418 --> 36:52.196 It's amazing. 36:55.026 --> 37:02.032 Well, the general consensus that the likely source was an animal in nature. 37:02.713 --> 37:04.314 But yes, it was wrong. 37:04.454 --> 37:09.499 It was literally flat wrong to have said that this was debunked because it's never been debunked. 37:09.579 --> 37:12.821 We don't really know the source of the coronavirus. 37:12.982 --> 37:17.946 And to say that the theory that it came out of the lab was debunked is just not correct. 37:18.126 --> 37:22.610 And that's the correction that has occurred, I think, in the last year or so. 37:23.151 --> 37:30.282 a greater acceptance of the possibility, because again, nothing has been proven, the possibility that it came out of the lab. 37:30.663 --> 37:33.467 And, you know, again, there is evidence for it. 37:34.429 --> 37:36.431 Scientists are still debating this question. 37:37.312 --> 37:40.574 And, you know, part of this was political in nature, too. 37:41.095 --> 37:44.637 President Trump kept saying that it was definitely out of the lab. 37:44.757 --> 37:47.019 President Trump didn't really know, but he said it. 37:47.300 --> 37:57.087 And I think that made a lot of people shy away from declaring it so, because they didn't want to be associated with the president's bold claim. 37:57.207 --> 38:03.873 And so now think about how much time they've wasted and how many thoughts they've put into people's head that aren't useful to them. 38:05.162 --> 38:09.765 You're not learning anything from listening to these people because they're not asking useful questions. 38:09.805 --> 38:12.287 They're asking, what was the consensus back then? 38:12.407 --> 38:18.932 And now the consensus is, why is the consensus that? 38:22.675 --> 38:26.098 What does that mean for the biology of it? 38:26.458 --> 38:29.160 No useful questions are being asked here. 38:30.091 --> 38:35.553 And it's only in retrospect sometimes that you can see how useless the questions that they asked were. 38:43.176 --> 38:46.757 So the Scooby-Doo mystery was solved in 2023 already. 38:46.777 --> 38:47.437 We're at the end of 2024. 38:48.397 --> 38:49.018 Keep that in mind. 38:49.078 --> 38:50.918 It's been five years since 2020. 38:53.579 --> 38:55.520 I want you to under, this is a lot of time. 38:56.680 --> 38:59.101 My kids have grown up a lot during this crap. 39:02.742 --> 39:06.024 make me almost tear up if I say that again, so I won't. 39:07.245 --> 39:22.073 If we go back to 2021 and we ask ourselves how did we get to the stage where we were debating a natural virus or a lab leak and who was helping us get there, who was answering questions, what were people saying at the end of 2021? 39:22.113 --> 39:22.413 At the end of 2021, 39:26.138 --> 39:31.203 Keep in mind that university students were scared to go back to university in November of 2020. 39:31.383 --> 39:43.615 In November of 2020, Richard Ebright said that if we open universities without any kind of controls, there could be as many as a quarter million people dead by Christmas. 39:43.936 --> 39:44.777 That's what he said. 39:46.939 --> 39:48.040 On Twitter, of course. 39:50.493 --> 40:08.244 And so it was at the end of 2020 that I started talking about Marek's disease because Luigi Warren had sent me a paper about Marek's disease and encouraged me to think about the possibility that the spike protein vaccines were causing the virus to mutate and might make it worse. 40:09.625 --> 40:10.465 Look at this paper. 40:11.326 --> 40:15.588 And at the same time, Geert van den Bosch was coming out saying the same stuff. 40:16.449 --> 40:18.190 And I heard about him and thought he was a hero. 40:19.690 --> 40:25.772 At the same time, I was arguing that natural immunity would be better than getting a spike protein vaccination for the same reason. 40:27.533 --> 40:33.635 And so I was convinced that not only was transfection a bad idea, but transfection to the spike protein was a bad idea. 40:34.075 --> 40:39.897 And so I wrote a review about it that was published in May of 2021, and it's mostly wrong. 40:41.517 --> 40:45.779 But had I published it in December of 2020, it would have been less wrong. 40:46.721 --> 40:56.071 And it would have been more focused on transfection being a dumb idea, because natural immunity is always better, because we don't know what transfection would do. 40:56.131 --> 40:57.512 But I didn't get that review out. 40:57.572 --> 41:07.883 The review that I got out, with the help of somebody by the name of Piper Stover, was almost exactly what the lab leak mystery virus needed me to say. 41:10.222 --> 41:19.425 But I said we have to pause transfection because not only is it hurting people, but it could be causing the virus to become more deadly, especially to the people who are transfected. 41:20.906 --> 41:35.531 So I was lost in 2021, and it wasn't until the end of, remember in July of 2020, I was saying that it was probably a lab leak, but it doesn't matter because the PCR tests are aspecific because there's a background of SARS viruses. 41:36.496 --> 41:38.116 And we've never paid any attention to it. 41:38.156 --> 41:39.117 We haven't given a shit. 41:39.497 --> 41:42.457 And now they released one and are pretending that it's spreading when it's not. 41:42.577 --> 41:44.118 I said that in July of 2020. 41:45.918 --> 41:55.040 And by the middle of 2021, I was already back on the lab leak and the evolution of the virus and completely lost. 41:58.441 --> 42:04.983 And it was at the end of 2021 that I had the privilege, I thought, of interviewing Kevin McKernan. 42:05.851 --> 42:14.075 And so I think it's important to revisit this video and see what he told me and what he didn't tell me and to pay attention to how I processed it. 42:15.276 --> 42:20.478 Was I just rolled over by the details that I didn't understand at the time? 42:20.898 --> 42:23.980 How much of it, if I hear it now, will sound like bullshit? 42:25.120 --> 42:26.761 How much of it will I know is bullshit? 42:28.922 --> 42:30.623 And how much can we really hear the truth? 42:30.723 --> 42:34.305 Remember, this is a guy who cut his teeth at the Human Genome Project. 42:35.566 --> 42:46.850 A guy who purports to have come out very early and be one of the foremost authorities on this is now at the forefront of a lot of these funny podcasts where he's saying that there's double-stranded DNA in it. 42:47.650 --> 42:51.351 And even CHD and ICANN are pushing him as an expert. 42:51.391 --> 42:59.414 So there's a possibility that this guy could be involved in even the Maha thing. 42:59.454 --> 43:02.535 He could even be behind the scenes giving an appointment. 43:02.975 --> 43:04.236 It's not impossible. 43:05.134 --> 43:07.075 He's rolling in the right circles right now. 43:08.116 --> 43:21.804 So I think it's important to check what he was saying, not in 2020 in the beginning in May or in 2020 in August or in 2020 in December, although you can do that with three videos on my website and elsewhere. 43:21.864 --> 43:23.545 You can look for the Vance Crowe podcast. 43:23.585 --> 43:34.632 He was on three times where he told everybody that he was a pod expert and a PCR expert and used PCR to find out if COVID was on any of the weed. 43:36.048 --> 43:40.830 and argued that the WHO wasn't using PCR correctly, but he and others did. 43:40.850 --> 43:58.738 And I am making a very strong accusation that he is part of this illusion that protected the PCR from useful scrutiny and led us down the path of overcycling false positives and this kind of thing. 43:59.775 --> 44:15.748 So I think it's very important to take a look at the first time that I've actually had contact with this guy and what I thought and how I acted and how overwhelmed I was so that you can see and I can show you very humbly how and why it took me until 2023 really to figure it out. 44:17.009 --> 44:18.551 And before that I was still lost. 44:20.342 --> 44:29.047 And that's why I couldn't save my father-in-law, or my sister-in-law, or my best friend from college, or one of my very good friends from my time in Chicago. 44:29.087 --> 44:31.609 I couldn't save any of them because I wasn't saying the right things. 44:32.469 --> 44:36.792 And if anything, in 2021, I was still saying the worst things, which is, you know, it's a lab leak. 44:38.132 --> 44:43.035 And at the same time, the worst people on the internet were saying it was flying AIDS in 2021. 44:44.216 --> 44:47.838 Paul Cuttrell and, you know, lots of people were saying that. 44:49.949 --> 44:53.192 So let's check this out here. 44:56.815 --> 44:57.495 Hold on one second. 44:57.515 --> 45:03.200 Let me just check to see if I got, I thought I got an email that was important, but I guess I did not. 45:03.560 --> 45:04.261 Okay, that's good. 45:05.021 --> 45:05.502 Here we go. 45:10.866 --> 45:13.909 So this was originally recorded on December 12th, 2021. 45:14.709 --> 45:15.410 I think I'll shrink. 45:17.432 --> 45:17.852 And here we go. 45:25.195 --> 45:28.659 So my background, I've been in genomics for about 25 years. 45:29.419 --> 45:37.507 I started at the Whitehead Institute in Cambridge, Mass., with Eric Lander working on the Human Genome Project. 45:37.667 --> 45:39.449 I was the team leader for R&D there. 45:39.509 --> 45:40.530 We built all the robotics. 45:41.611 --> 45:47.016 that's in that nature paper for the floor that does all the purification and sequencing for that project. 45:47.576 --> 45:50.139 In around 2000, I spun some of that stuff out. 45:50.199 --> 45:57.165 There was several patents we filed on magnetic bead isolation of viruses and DNA from 45:57.905 --> 46:00.487 from E. coli and that stuff got spun out to a company called Agincourt. 46:01.367 --> 46:11.594 Agincourt became one of the larger sequencing providers in the country at the time and eventually got acquired by Beckman Coulter for a lot of the viral purification tools we had. 46:11.654 --> 46:15.917 We were building these RNA and DNA purification kits using these magnetic beads and so 46:16.617 --> 46:19.578 They needed that and they needed to bolt that onto some of the automation they had. 46:19.618 --> 46:24.980 So they came and acquired the company and spun out one of our R&D projects that was building the solid sequencer at the time. 46:26.020 --> 46:28.701 That got acquired a year later by Applied Biosystems. 46:28.801 --> 46:30.241 They brought that sequencer to market. 46:31.361 --> 46:37.083 I spent about five years there working on that platform, competing with Illumina, and then also brewing up other ones. 46:37.723 --> 46:39.264 We ultimately acquired Ion Torrent. 46:40.444 --> 46:41.705 which makes these chips right here. 46:41.725 --> 46:45.309 Another one of those little sequencers that runs on a chip. 46:46.970 --> 46:48.752 And that, I didn't invent any of that. 46:48.772 --> 46:58.241 I was just someone who, we saw the technology and pulled it in, and Jonathan Rothberg's team kind of carried a lot of that weight, but our team at Beverly also, about 100 of us jumped on making that platform sing. 46:59.363 --> 47:03.968 And then after that, I kind of just jumped out to start, we need to do something different. 47:03.988 --> 47:11.076 And I had a non-compete and now the company was LifeTech and it pretty much meant I couldn't work anywhere in the biotech space because they had fingers everywhere. 47:11.136 --> 47:18.505 So I started working in the cannabis space doing sequencing cannabis genomes, trying to get more of these compounds public, if you will. 47:20.067 --> 47:32.297 And what I mean by public is there's a lot of a lot of the things that you're seeing COVID right now have been plaguing that industry for decades. 47:32.694 --> 47:38.917 where the science is funded primarily by government and it crafts a certain narrative about harms. 47:39.617 --> 47:45.120 And so I was noticing that that plant was severely underappreciated and we just put its genome public. 47:45.420 --> 47:48.461 And since then we've been building tool picks and shovels. 47:48.501 --> 47:57.546 We sell snip chips and PCR kits to that industry to help them breed and help them track down viruses and track down different microbes that may affect the yield of the plant. 47:58.606 --> 47:59.346 That's my background. 47:59.406 --> 48:02.308 And I did do a little bit of clinical sequencing as well for five years. 48:02.768 --> 48:08.370 So I know some of the CLIA rules and regulations and how you should be doing PCR and not be doing PCR in clinical settings. 48:08.430 --> 48:11.851 And that got me dragged into the Corman-Drawson review. 48:11.951 --> 48:18.634 And then I've been doing some work very recently on just looking at the mRNA structures with Peter McCullough and a few others. 48:20.114 --> 48:33.559 Yeah, it's a really, now that I hear it put that succinctly, I'm kind of, well, I'm thoroughly humbled now and I really feel like I'm definitely interviewing someone who I need to be interviewing and that's really great. 48:34.780 --> 48:36.200 Do you want to expand at all? 48:36.240 --> 48:40.802 Has anything happened with the Corman-Dorstan thing at all? 48:40.922 --> 48:42.223 So that thing we 48:43.283 --> 48:48.825 We put that public, it got, the first one got attacked pretty heavily and we put it public, so we wrote like another 60 pages. 48:49.025 --> 48:51.406 So remember what the Corman-Jorstin report is? 48:51.586 --> 48:55.967 You can probably still find it somewhere on ResearchGate or something like that. 48:57.568 --> 49:10.012 It is an objection that was written by a group of people in 2020 objecting to the Jorstin PCR test 49:11.089 --> 49:25.923 maybe it's the Corman-Jorston PCR test that the WHO used, the objections of the paper included the ridiculous objection that it was peer-reviewed in less than 24 hours and that's not fair or that's not real. 49:26.043 --> 49:35.592 And we all know that if it really was a global emergency and they really needed a paper reviewed in 24 hours, anybody that's reviewed a paper knows that that is possible. 49:35.652 --> 49:36.393 You could do it. 49:39.366 --> 49:41.607 especially something like a PCR test. 49:43.728 --> 49:50.252 So I'm not saying the whole thing was ridiculous, but I'm kind of saying the whole thing was ridiculous. 49:50.392 --> 50:02.839 Now, there's a lot of reasons why, but the main one being the overarching principle was not to object to the use of PCR as a diagnostic to describe a pandemic at all. 50:03.766 --> 50:11.109 Rather, it was an objection to the way that that paper was approved and some of the methodologies that supposedly weren't right. 50:11.709 --> 50:19.012 The primer dimers, the things that could happen that weren't supposed to happen so that the test wasn't checked well enough, something like this. 50:23.253 --> 50:32.197 And this is important to see because it's not just Kevin McKernan and a bunch of guys from his weed factory or his weed laboratory. 50:33.496 --> 50:39.642 It's a very curious, a very curious, I mean, incredibly curious list of characters. 50:40.622 --> 50:57.438 The most enticing of which are Claire Craig of the Heart Group in the UK, who prior to the pandemic was part of a genome sequencing, genome mapping group looking to correlate genomes with disease using AI. 51:00.902 --> 51:02.323 and she wrote a paper with this guy. 51:02.363 --> 51:03.604 How the hell do they know each other? 51:04.645 --> 51:11.171 Why are they writing a paper at the beginning of the pandemic to object to a WHO PCR test? 51:11.271 --> 51:27.805 Why is she, a genome collecting pathologist from the UK, hooking up with a pot screening genome specialist from the Human Genome Project in Boston, and Thomas Binder in, 51:28.835 --> 51:35.317 Switzerland, and Mike Yeadon in the UK, and the list goes on. 51:36.618 --> 51:45.401 Many of the people on that list are still somehow or were entangled in the 2020-2021 fear, uncertainty, and doubt about a lab leak. 51:47.902 --> 51:52.744 There's no way to explain how it is that these people are on that paper together. 51:54.594 --> 52:00.899 except that they either already knew each other or they were put together in place because of an exercise that was ongoing. 52:01.380 --> 52:22.878 An exercise that included scripted, scripted and carefully controlled objections that formed a limited spectrum of debate, which would fool a huge population on earth into thinking that the question of whether this was a lab leak or a natural virus was the foremost question that needed to be answered. 52:27.349 --> 52:33.492 And we're still talking about his mastery of things and what he did and why he did it. 52:33.552 --> 52:35.693 And I don't understand it yet in this video. 52:36.994 --> 52:38.355 And that is a black swan hat. 52:38.495 --> 52:38.995 Absolutely. 52:39.055 --> 52:40.116 I'll go get it on right now. 52:40.656 --> 52:44.158 Trying to explain all the references behind what we have. 52:44.458 --> 52:45.579 That thing barely ever got read. 52:45.639 --> 52:48.580 I don't even think Stephen Buston read it when he reviewed the paper. 52:49.401 --> 52:53.863 So there is, if you go to my Twitter page, go through the story that's on the top of that page. 52:53.923 --> 52:55.984 It's really interesting about what's pinned up there. 52:56.624 --> 53:07.020 is that the people who are trying to attack that paper are on record in court cases before attacking Steven Wakefield for the same damn PCR problems that are in the Drosten paper. 53:07.160 --> 53:09.744 And they got paid half a million pounds to do it. 53:09.844 --> 53:12.508 Steven Buston got paid by Glaxo to take down Wakefield. 53:13.457 --> 53:21.025 Uh, and he was attacking him for not having internal controls in the PCR, uh, for not, which, you know, Drosten had no internal controls. 53:21.065 --> 53:23.628 At least, at least Wakefield tried to have an internal control. 53:23.708 --> 53:25.690 It just wasn't performing appropriately. 53:25.890 --> 53:29.895 I will admit, I still don't really know what he's talking about here at the time in the interview. 53:29.975 --> 53:35.200 And now I still assume that he's talking about Andrew Wakefield and they use PCR in his paper or something. 53:35.240 --> 53:35.621 I don't know. 53:36.923 --> 53:40.887 Or maybe there's another Wakefield that also objected to the PCR test. 53:40.987 --> 53:42.888 I honestly don't know, and I didn't ever check. 53:43.789 --> 53:45.190 But it's strange, again. 53:45.250 --> 53:53.818 It feels to me like testing out how much I know, throwing me another detail to see how I react to it, and seeing whether or not he already has me on my heels. 53:53.858 --> 53:56.220 And if I'm on my heels, then he's going to step trip me. 53:57.762 --> 54:00.083 That's what I feel like is always happening in this video. 54:00.183 --> 54:01.403 But his assay had one. 54:01.803 --> 54:02.763 Drosten doesn't even have one. 54:03.823 --> 54:07.164 And then a lot of the other things that we've, you know, the protocol wasn't very clear. 54:07.184 --> 54:12.266 A lot of the critiques that we put, and they got paid half a million pounds to do it. 54:12.346 --> 54:15.066 Stephen Buston got paid by Glaxo to take down Wakefield. 54:16.326 --> 54:23.548 And he was attacking him for not having internal controls in the PCR, for not, which, you know, Drosten had no internal controls. 54:23.588 --> 54:26.689 At least Wakefield tried to have an internal control, it just wasn't 54:27.011 --> 54:29.372 performing appropriately, but his assay had one. 54:29.772 --> 54:30.733 Drosten doesn't even have one. 54:31.773 --> 54:34.254 And then a lot of the other things that we've, you know, the protocol. 54:34.975 --> 54:37.096 And what would an internal control be for? 54:37.176 --> 54:39.097 Is he, is he assuming that I know it? 54:39.177 --> 54:41.258 Is he assuming that my viewers know it? 54:42.398 --> 54:43.018 Do you know it? 54:43.939 --> 54:50.082 An internal control is an amplicon that is thought to be present in every person in about the same amount. 54:50.990 --> 55:00.018 And it would be an amplicon that you could in theory scale the viral gene signal to, to get a relative idea of how abundant it was. 55:01.579 --> 55:12.348 And interestingly, I have worked on a case in California where we had some details about the PCR test that was used to test all the municipal employees for the whole year of 2020, every week. 55:15.151 --> 55:23.438 And it had a single amplicon for the N protein and a single amplicon for some other endogenous gene that very rarely actually showed up. 55:24.659 --> 55:41.933 And so if you looked at all the raw results of these tests for the client, you would see that the PCR signal that came up for the endogenous signal, the control that he's talking about here, came up at cycle 40 or something crazy. 55:43.319 --> 55:45.062 and sometimes 45, sometimes 24. 55:45.824 --> 55:55.662 And so the change in that signal shows you the incredible variation in the background that they are using as a baseline. 55:57.691 --> 56:00.193 And this is just one example of these tests. 56:00.253 --> 56:06.898 There were hundreds, hundreds, over 200 tests were granted emergency use authorization. 56:06.998 --> 56:09.881 Many or most were produced outside of America. 56:10.361 --> 56:19.148 Many or most were produced in China itself, shipped over here, and used to describe the spread of a novel RNA. 56:21.843 --> 56:24.184 And this guy's not questioning any of that. 56:24.304 --> 56:26.625 Not questioning where the products are made. 56:27.166 --> 56:29.206 Not questioning how the products are made. 56:29.727 --> 56:33.448 Not even telling us that, you know, they could use three Amplicons. 56:33.508 --> 56:35.049 They could use nested primers. 56:35.469 --> 56:38.051 They could have multiple endogenous controls. 56:38.711 --> 56:41.112 And why are the endogenous controls important? 56:41.132 --> 56:41.952 How variable are they? 56:41.972 --> 56:44.133 He could describe this and he's never done it. 56:44.514 --> 56:48.876 He didn't do it on the Vance Crowe podcast and he had three different hours to do it in 2020. 56:52.472 --> 57:15.303 And I've made many attempts over the last five years to try and explain how PCR could be used very, very meticulously in academia to prove the existence or the presence of a molecule or a protein or a gene and be used to very low precision in the real world as a diagnostic. 57:16.963 --> 57:21.986 And that should be one of the foremost messages that any of these polymaths would have for us. 57:23.109 --> 57:28.054 One of the most important things for you young people to understand is how PCR can work and how it doesn't work. 57:28.715 --> 57:34.540 Why it's important that we have these different controls and how many amplicons and whether they use nested primers or not. 57:34.841 --> 57:43.930 We have to be very skeptical of the EUA approved products that haven't adequately been tested in the real world on the background of a hospital population. 57:44.290 --> 57:44.771 Nothing! 57:48.462 --> 58:00.072 And we even had somebody like Matt Crawford in 2020 and 2021 telling us about how false positives can be generated just by sheer will and overcycling. 58:01.914 --> 58:08.540 And at the same time, we have molecular biologists in the universities that understand that if you do your primers right, overcycling doesn't matter. 58:13.324 --> 58:14.265 At least that's what they think. 58:15.319 --> 58:20.463 Because in their situations, in their experiments, in their laboratory conditions, that's the way it works. 58:21.103 --> 58:23.445 Why on earth would public health do it differently? 58:23.826 --> 58:24.586 They do it better. 58:24.646 --> 58:27.388 They do it on an industrial scale, a militarized scale. 58:27.729 --> 58:29.890 Of course they do it better than I do it in my lab. 58:31.732 --> 58:33.293 That's the illusion that we're all under. 58:34.954 --> 58:38.597 And he is a very important part of sustaining that. 58:43.752 --> 58:44.713 Paul wasn't very clear. 58:44.733 --> 58:52.438 A lot of the critiques that we put forward in terms of primary dimers and everything else, those things exist in the Drosten protocol. 58:52.478 --> 58:56.040 He was on record in a legal case attacking Wakefield for those same things. 58:56.180 --> 58:59.463 So, that's the reviewer that Euro Surveillance could pull up. 58:59.643 --> 59:00.944 It's the only one that went public. 59:00.964 --> 59:02.605 They wouldn't put any of the reviews public. 59:03.906 --> 59:13.272 So, we just have to go over the fact that he leaked some of this information on a podcast, that he was a reviewer, and he didn't even look at the primaries during the review, which is what our whole 60-page addendum was attacking. 59:14.378 --> 59:18.661 I don't know, I don't have much hope that like clarifying that's gonna end the pandemic, you know, back then. 59:18.741 --> 59:20.203 No, I agree, I agree. 59:20.243 --> 59:21.664 And so much of that is technical. 59:21.884 --> 59:23.465 So it won't end the pandemic. 59:23.485 --> 59:27.808 There you go, that's the... He already got me. 59:28.529 --> 59:29.910 But that won't end the pandemic. 59:31.971 --> 59:33.613 Yeah, you're right, there is a pandemic. 59:33.753 --> 59:36.054 Oh yeah, there totally was a pandemic. 59:36.515 --> 59:37.355 Oh yeah, you're right. 59:37.816 --> 59:39.977 Well, we'll have to find another way out then, Kevin. 59:40.398 --> 59:41.038 Tell me more. 59:46.984 --> 01:00:08.123 that that that for the vast majority of the people that could in theory be convinced a simple hand wave from the right person and that's gone but you brought up something twice in that in that description that that I really wanted to ask you about which is are there PCR tests that have what you would call a appropriate control 01:00:10.652 --> 01:00:14.456 Yeah, there's a, I mean, there are, there are others tests out there that have internal controls. 01:00:14.496 --> 01:00:17.219 They go off the RNase P gene and that helps them tremendously. 01:00:17.579 --> 01:00:22.684 But what we're not seeing the industry do is pull out all the live dead PCR technology, which has existed for. 01:00:22.845 --> 01:00:25.087 So there, how quickly did he go through that? 01:00:25.187 --> 01:00:32.154 So remember, I'm arguing that there are several ways to optimize the specificity of a PCR test. 01:00:33.195 --> 01:00:36.676 Besides optimizing the primers, you can make them nested. 01:00:36.796 --> 01:00:45.079 Besides making them nested primers, you could make primer sets aimed at different viral genes or different signals that you thought were gonna be present. 01:00:45.139 --> 01:00:53.901 I hate to use the word viral genes because again, like I talked about in the beginning of the stream, I don't wanna go over to the wall and choose a weapon that they gave to me. 01:00:54.942 --> 01:01:02.184 And so if I talk about viral genes, I'm accepting that there are viral genes and that we have to worry about them and that our immune system has to make memories of them. 01:01:02.990 --> 01:01:06.853 Just like if he says, yeah, but I don't think clarifying this is gonna stop the pandemic. 01:01:06.893 --> 01:01:08.454 And I go, yeah, that's right. 01:01:08.494 --> 01:01:09.695 I guess there is a pandemic. 01:01:12.065 --> 01:01:23.570 And so if these people claim that they are using PCR to find a signal that they say is relevant to our health, then there are ways to optimize how they find that signal. 01:01:23.831 --> 01:01:34.916 One of which would be to target multiple parts of the signal with separate nested primer sets and require that a positive signal be characterized as the presence of all three or two of them. 01:01:36.167 --> 01:01:52.578 And what did not happen in 2020 and 2021 is a PCR test with that level of fidelity with multiple targets and multiple endogenous genes that were required to be present in a certain quantity in order for the other quantities to be taken seriously. 01:01:52.978 --> 01:01:54.619 There was no test like that. 01:01:54.779 --> 01:01:56.901 None of the tests were deployed like that. 01:01:57.361 --> 01:01:58.802 None, zero, zip. 01:02:00.549 --> 01:02:22.781 And yet now, as late as a couple weeks ago, this guy was on the Danny Jones podcast spreading all kinds of nonsense, which also included this elaborate narrative about how the Omicron was defined as a COVID infection without the S protein and the other two proteins were there. 01:02:24.215 --> 01:02:33.976 So the implication is, is that we've always used PCR tests that we're looking for the S-protein, the N-protein, and one other protein like the E-protein, but that's a lie. 01:02:36.519 --> 01:02:51.642 And anybody that wanted to figure that out could go on the internet and start downloading random emergency use authorized documents and the description of their protocols and find that there's a single PCR with a single primer set targeting a single amplicon. 01:02:51.722 --> 01:02:57.903 And at best, there is an endogenous control that is not used as a scaler, but just used as a yes or no. 01:02:57.963 --> 01:02:59.764 If that one comes up, then this one counts. 01:02:59.804 --> 01:03:00.164 That's it. 01:03:01.800 --> 01:03:04.803 And that's not how it's used on the academic bench ever. 01:03:04.884 --> 01:03:09.909 It's not used in any way, shape or form, except in the diagnostic space. 01:03:09.969 --> 01:03:15.616 Again, because it's allowed and because this guy is making sure that we don't ask the useful questions that would reveal that. 01:03:17.678 --> 01:03:21.643 And now he's talking about live dead technologies, which again, what does that do? 01:03:24.053 --> 01:03:28.035 Oh yeah, so there are live viruses and dead viruses. 01:03:28.095 --> 01:03:33.078 And the live viruses are scary and the dead viruses are just false positives. 01:03:33.539 --> 01:03:36.340 And the dead viruses can be there for a long time. 01:03:36.400 --> 01:03:38.882 So we can get a false positive for a long time. 01:03:39.362 --> 01:03:40.683 Kevin, tell me more. 01:03:43.584 --> 01:03:44.345 Probably a decade. 01:03:45.123 --> 01:03:46.544 It's been refined for a decade. 01:03:46.584 --> 01:03:52.310 This is the capability to get PCR to tell you what's infectious virus, which is non-infectious virus. 01:03:52.510 --> 01:03:57.414 And they're not doing that for a very explicit reason, because that would have cut their revenues by an order of magnitude. 01:03:57.714 --> 01:04:03.119 I mean, if you look at just the how long people are infectious versus non-infectious, it's either five to tenfold. 01:04:03.179 --> 01:04:06.943 And now they tell you don't get PCR tested for 90 days if you've been positive, right? 01:04:06.963 --> 01:04:09.445 Because you might still be positive from the last infection. 01:04:09.910 --> 01:04:25.173 you're not how many how many academic molecular biologists in your imagination should actually by their own experience know that these tests are of one one inadequate and two that there's technology that already exists that would have been better anyway what 01:04:25.791 --> 01:04:27.292 How many people should really know that? 01:04:27.332 --> 01:04:28.712 Shouldn't there be thousands? 01:04:28.932 --> 01:04:29.553 There should be. 01:04:29.573 --> 01:04:33.975 Yeah, I think anyone in the molecular biology space or genomic space knows that there's live dead tools out there. 01:04:33.995 --> 01:04:38.256 There's even stuff published on SARS with this, that you can do live dead viability PCR. 01:04:38.436 --> 01:04:40.357 There's even stuff published on SARS. 01:04:40.417 --> 01:04:42.418 Why the hell would anybody else know that? 01:04:43.859 --> 01:04:46.360 Why would anybody working in neurobiology know that? 01:04:46.400 --> 01:04:49.301 Why would anybody that was transfecting mice know that? 01:04:49.341 --> 01:04:53.423 Why would anybody that was transforming mice with adenovirus, why would they know that? 01:04:55.782 --> 01:05:00.925 They order live virus from the supplier and they put it in their mouse and the protein shows up. 01:05:00.986 --> 01:05:03.287 Why would they ever think that it's just transformation? 01:05:07.010 --> 01:05:08.030 What is he talking about? 01:05:08.070 --> 01:05:10.012 He just said, yeah, there should be thousands. 01:05:10.412 --> 01:05:10.692 No, no. 01:05:13.427 --> 01:05:26.635 That's the reason why academia was so inept at speaking up, because very few of them have the broad understanding of the irreducible complexity of biology to appreciate how much of what we say is actually hand-waving. 01:05:28.816 --> 01:05:35.060 That's why everybody hated me in the back of seminars, because I always had to point out that, you know, well, it's kind of hand-waving what you're talking about here. 01:05:35.080 --> 01:05:42.624 It's a nice story, but it's built on that assumption, that assumption, and that assumption, and those labs are still running on those assumptions and haven't proven them. 01:05:45.796 --> 01:05:47.317 You're just using semantics. 01:05:47.357 --> 01:05:54.382 That was one of my worst things that I would say because I often said it before I understood how badly I was hurting their feelings. 01:05:55.943 --> 01:06:00.806 There's one guy that's dead right now by the name of Eichenbaum. 01:06:00.866 --> 01:06:05.149 And Eichenbaum was a guy who worked in the hippocampal space that I was in. 01:06:05.169 --> 01:06:13.755 The hippocampus is a nucleus in the brain that is associated with spatial understanding, spatial navigation, and memory. 01:06:16.447 --> 01:06:32.884 And the Nobel Prize was awarded in 2014 to a number of scientists whom I've studied with and under, and greatly influenced me when I was still chasing tenure, including Edward Moser, Maybritt Moser, and John O'Keefe. 01:06:32.904 --> 01:06:37.129 And from the perspective of, I'm almost losing my train of thought here where I was, 01:06:38.240 --> 01:06:49.348 from the perspective of thinking about what we do and what we did in that brain, there's nobody in that space that would know anything about live dead technology in viruses. 01:06:50.148 --> 01:06:58.574 And so I don't know the thousands of people that he's talking about, but it's me being naive and saying, well, if you know about this, shouldn't there be other people who know about this? 01:06:59.975 --> 01:07:02.217 And he says, yeah, but the truth is no. 01:07:04.184 --> 01:07:05.765 The truth is, no. 01:07:05.925 --> 01:07:11.390 What he's trying to do is make me feel like there's so much you don't know that everybody else already knows. 01:07:11.430 --> 01:07:13.231 They're not speaking up about it, so why should you? 01:07:15.073 --> 01:07:21.038 It's not a red alarm for any of these people, and they have a professional knowledge of it, and you don't, so why should you be worried about it? 01:07:24.640 --> 01:07:25.321 All right, thanks. 01:07:25.871 --> 01:07:28.593 So it's not like, I mean, if you just Google search it, you'd find it. 01:07:28.673 --> 01:07:36.237 But the problem is that there's so many people they sweep up in that tail of PCR positivity when you're no longer infectious. 01:07:36.418 --> 01:07:40.140 And then that explodes into a contact map of everyone else you're in contact with. 01:07:40.240 --> 01:07:44.683 So they're sweeping in an enormous number of clinically false positive leads. 01:07:45.103 --> 01:07:51.307 Clinically false positive leads that totally are relevant to defining the biology of the pandemic. 01:07:51.867 --> 01:07:59.294 They are totally relevant because what he's saying is, is that the paint is there, it's just not wet anymore. 01:08:01.977 --> 01:08:08.263 The paint was spilled in China, it's been circulating for a while, and pretty much everybody is blue on the inside now. 01:08:08.723 --> 01:08:12.807 But some of people's paint is dry, and we only need to worry about the wet paint. 01:08:15.717 --> 01:08:22.505 That is an actually pretty good analogy for what they said happened with an RNA molecule that you can equate to paint. 01:08:23.066 --> 01:08:25.209 It's a molecule, it's chemistry, it's chemicals. 01:08:26.803 --> 01:08:33.305 And they say that they made a very special kind of paint, that when they spilled it on the floor in Wuhan, it got on people's shoes. 01:08:33.746 --> 01:08:36.647 And before you know it, it was in everyone's lungs. 01:08:36.727 --> 01:08:41.729 And now his objection is not to the story that it's in everyone's lungs. 01:08:41.929 --> 01:08:46.030 It's to the objection that the dry paint is as dangerous as the wet paint. 01:08:48.991 --> 01:08:52.653 And I'm over there going, wow, now I see so much clearer. 01:08:52.773 --> 01:08:53.593 Thanks, Kevin. 01:08:56.280 --> 01:08:58.982 Yes, technically, the RNA is there, but they're not infectious. 01:08:59.282 --> 01:09:01.123 And so I call that a clinical false positive. 01:09:01.523 --> 01:09:04.145 And that's probably the bigger problem than all. 01:09:04.305 --> 01:09:06.486 He calls that a clinical false positive. 01:09:06.526 --> 01:09:08.327 You go ahead and take that term, Jay. 01:09:08.468 --> 01:09:09.428 Use it on your stream. 01:09:09.948 --> 01:09:13.431 Call it a clinical false positive, because that's the perfect term for it. 01:09:13.471 --> 01:09:14.251 That's what I call it. 01:09:15.452 --> 01:09:19.014 Although, the Drosten things are more like analytical false positives, right? 01:09:19.054 --> 01:09:25.318 Like your primers hit the wrong shed, or you haven't proven to us that this doesn't hit other viruses like the flu. 01:09:26.035 --> 01:09:28.575 Those are things you can get in the weeds on with molecular biology. 01:09:28.695 --> 01:09:30.416 It doesn't hit other viruses. 01:09:30.496 --> 01:09:47.259 So the possibility that it could hit all of the background of bacteriophages that are there, all of the background of bacteria that was there, all of the background of your own endogenous genome is there, all the background of everything else, that's not important. 01:09:48.519 --> 01:09:53.040 The only question is, is whether or not these PCR tests overlap with other viruses. 01:09:53.440 --> 01:09:54.060 Stop lying! 01:09:57.299 --> 01:10:23.230 lion do you hear how malevolent that is but can you also hear how at the time it was just for me like a this guy's so smart yes but i think the real thing is damaging society is that the way pcr is currently tolerated which is very rarely against vero cells uh and very rarely 01:10:23.729 --> 01:10:24.811 through a viability check. 01:10:25.251 --> 01:10:28.696 Very rarely calibrated in Vero cells. 01:10:28.816 --> 01:10:32.461 Holy man. 01:10:35.425 --> 01:10:36.187 That's hilarious. 01:10:40.198 --> 01:10:43.721 Just seeding that little virology bit in there. 01:10:43.761 --> 01:10:55.810 Just make sure that he subtly reinforces all the biology of virology by making sure I remember that there's this one specific cell line they use all the time. 01:10:56.490 --> 01:11:02.334 Even when it's deployed, you have this long tail of people that are positive with RNA that aren't infectious. 01:11:02.414 --> 01:11:05.777 They get sweeped in, they get contact traced, and all their contacts get PCR'd. 01:11:05.897 --> 01:11:07.258 It just creates this huge explosion 01:11:08.641 --> 01:11:13.643 of PCR activity that effectively just shuts down society. 01:11:13.943 --> 01:11:31.430 Oh, the PCR activity shuts down society and it creates a very lucrative source of remnants that could be used after they are de-identified to sequence all the people that came to that testing center and build a database. 01:11:33.570 --> 01:11:38.633 interesting how he would ignore that, seeing as he's from the Human Genome Project and wants to sequence everyone. 01:11:40.374 --> 01:11:56.103 But in your space, in your space for botanicals and whatever, you have to have a pretty... And you can hear already that the nodule that was on my throat for almost the whole year of 2022 is building in this video already. 01:11:56.323 --> 01:11:58.745 I almost Kermit the Frog here, but not quite. 01:12:01.303 --> 01:12:08.865 a pretty specific, I mean, you must have run quite a lot of checks to be sure that what you're testing for is really there and that you're not producing a test. 01:12:08.925 --> 01:12:12.667 Well, I mean, that's what drives me nuts, is these are clinical tests going on humans. 01:12:12.707 --> 01:12:15.007 We have more controls testing candidates. 01:12:15.668 --> 01:12:18.629 I mean, there's an internal control on every one of our tests. 01:12:18.669 --> 01:12:23.290 You have to have, in order for you to have a viral load, which is what everyone's talking about, you have to have 01:12:23.840 --> 01:12:24.800 two different CTs. 01:12:25.001 --> 01:12:25.921 You can't just have one. 01:12:26.061 --> 01:12:30.863 You need to have the host CT and you need to have the virus CT, so you have a ratio of virus to host. 01:12:31.123 --> 01:12:39.227 So there he's already kind of indirectly admitting it, that you only need two amplicons, one from the host and one from the virus, and that's already a lie. 01:12:39.847 --> 01:12:52.775 that would never be specific enough for anything and you would be relying solely on two primers and their specificity for a viral gene and relying on the idea that they don't pull up anything else in the background. 01:12:52.815 --> 01:12:58.358 It couldn't possibly be any bacteriophage out there with an overlap or any other RNA with an overlap. 01:12:58.818 --> 01:12:59.719 It's just that one. 01:13:00.439 --> 01:13:02.260 And our primers are pretty good for it, you know. 01:13:04.682 --> 01:13:07.884 That's the whole argument that he just made right there in a nutshell. 01:13:08.715 --> 01:13:13.883 You gotta have one that's aimed at the host, a control so you can scale it. 01:13:14.284 --> 01:13:19.112 But I thought he said there's all this technology for live dead that you don't need that scale anymore. 01:13:20.199 --> 01:13:21.900 we just went around the hamster wheel. 01:13:22.541 --> 01:13:30.507 He told us on the other side of the wheel that the PCR is silly anyway, because they have live dead technologies they could be using to compliment the PCR. 01:13:30.987 --> 01:13:49.121 Then we got all the way around on the other side of the wheel and he said, yeah, all you really need is a scalar so that you can tell whether or not the CT, the cycle count, the cycle threshold that is reached in the PCR test of concern is significant relative to the host signal. 01:13:50.529 --> 01:13:51.049 It's a wheel. 01:13:52.150 --> 01:13:54.191 You're never going to get out of it as long as you run with him. 01:13:54.791 --> 01:13:55.732 Just skip the host. 01:13:55.772 --> 01:13:57.153 You have no clue what that number means. 01:13:57.613 --> 01:14:04.457 There's a, there's been papers published showing there's about a 10,000 full variants, a thousand, 10,000, it's a paper called DADU, uh, in swabbing your nose. 01:14:04.977 --> 01:14:06.578 That's the variance, the number of cells. 01:14:06.758 --> 01:14:08.779 Can you do that all in the same tube then? 01:14:08.899 --> 01:14:10.500 Or do you have two separate samples? 01:14:11.340 --> 01:14:15.222 You put them in, you put primers in there that have fluorophores that, that go off. 01:14:15.242 --> 01:14:15.302 So, 01:14:16.767 --> 01:14:20.128 And there are some PCR kits that do this in the coronavirus space. 01:14:20.208 --> 01:14:23.130 I don't mean to disparage all of them and call them all drawston. 01:14:23.210 --> 01:14:23.330 But. 01:14:23.550 --> 01:14:26.571 And so another thing he's pointing out there is that they're fluorophores. 01:14:26.671 --> 01:14:28.072 So they do the reaction. 01:14:28.852 --> 01:14:30.412 It changes color or it doesn't. 01:14:30.853 --> 01:14:36.995 And the amount it changed color and the cycle that it changes color in the most rapid is called the cycle threshold. 01:14:37.075 --> 01:14:37.515 That's it. 01:14:37.615 --> 01:14:38.336 Something like that. 01:14:39.116 --> 01:14:41.757 Depending on the equipment you use and the measurement you make. 01:14:43.015 --> 01:14:52.698 but at some point the fluorescence will go to exponential and then they draw some line there, that's the cycle threshold and that's the relative level of the signal they say, and that's it. 01:14:53.138 --> 01:15:02.861 But understand that on the academic bench, you would also be required to sequence the amplicon that amplified and show that it was what you said it was. 01:15:04.402 --> 01:15:11.444 In other words, if you were gonna do PCR on a book and your primers were once upon a time and the end, 01:15:13.447 --> 01:15:16.769 And then you said, okay, so we sequenced it and we found the book, here it is. 01:15:18.450 --> 01:15:21.632 Well, did you really predict this book? 01:15:23.273 --> 01:15:25.995 How many other books would come up with those primers? 01:15:26.035 --> 01:15:33.699 And if you're going to make the claim that these primers are so specific that they'll only pull up one book, you're going to have to kind of prove that, right? 01:15:33.759 --> 01:15:34.320 But you don't. 01:15:35.151 --> 01:15:39.412 It just, it turns fluorescent and then they make a decision based on that. 01:15:39.552 --> 01:15:43.713 And you have to take the company's word for it that they produced the primers that they said. 01:15:46.674 --> 01:15:47.654 That company's in China. 01:15:49.655 --> 01:15:55.076 Is a long time collaborator of the Human Genome Project, Beijing BGI. 01:15:56.617 --> 01:16:01.038 The same company that supplied a lot of the lateral flow tests to the UK and to 01:16:02.449 --> 01:16:13.556 Australia, and then you start to realize that if the testing facilities were controlled, you could basically roll out tests and make them read positive and negative wherever and whenever you wanted them to. 01:16:14.697 --> 01:16:22.582 All it would require is a spectacular commitment to lying, not a novel virus that spread around the world like paint. 01:16:27.785 --> 01:16:31.768 I think you can see how clearly it is that this is just a lie. 01:16:32.759 --> 01:16:52.568 but it is a very elaborate lie that was sustained by many people, including people that we were fooled for many years were actually on our side, but were in fact sustaining this debate, asking the wrong questions and debating about them so that we would never usefully question the narrative that we accepted the pandemic. 01:16:53.749 --> 01:16:57.010 The idea that even if this is a natural virus, we can make worse ones. 01:16:57.250 --> 01:17:03.953 That might be much worse than a nuke, says kim.com with Charles Rixey and Kevin McCarran on the stream. 01:17:03.973 --> 01:17:12.836 That's why I play Kevin McCarran in the beginning of this stream, where he's saying in 2020 and in 2024, that it looks like it's the worst case scenario. 01:17:12.856 --> 01:17:14.837 It's literally turning into a worst case scenario. 01:17:14.857 --> 01:17:16.898 Those are five years apart. 01:17:18.018 --> 01:17:24.862 The exact same jackass that's been behind me for five years saying that it looks like a worst case scenario. 01:17:26.123 --> 01:17:28.704 In 2020, he said a billion people could die. 01:17:29.385 --> 01:17:34.768 In 2024, he's saying that it's a worst case scenario, something to do with prion and amyloid, I think. 01:17:38.430 --> 01:17:46.035 These people all belong in jail because they have sold out our children and sold out our grandchildren's future. 01:17:48.786 --> 01:17:50.327 by playing along with these people. 01:17:52.609 --> 01:17:53.730 Make no mistake about it. 01:17:53.950 --> 01:17:59.235 I am suggesting that this is very likely a player against us. 01:17:59.255 --> 01:18:00.756 He's on Tony Fauci's team. 01:18:02.337 --> 01:18:09.103 He was on stage, met the president with Mark Lander and Francis Collins and all of them. 01:18:09.203 --> 01:18:10.544 They are thick as thieves. 01:18:13.827 --> 01:18:16.990 He was the team leader of research and development. 01:18:18.649 --> 01:18:31.518 Unless you're telling me that he told all these guys to screw off after a bad poker game or broke a bottle of whiskey on their basketball court and walked out, I'm not buying it. 01:18:31.578 --> 01:18:37.022 This guy is in, his dad was in, his brothers are in. 01:18:40.845 --> 01:18:46.729 And that's why it wasn't until the end of 2021 that he came on my stream and then he came on my stream and said this stuff. 01:18:47.790 --> 01:18:52.753 This isn't the same guy that was on the Vance Crowe podcast smiling and shooting the shit. 01:18:53.654 --> 01:18:54.834 Go watch those videos. 01:18:54.874 --> 01:18:56.155 He's friendly and happy. 01:18:56.556 --> 01:18:58.277 This is serious shit right here. 01:19:00.038 --> 01:19:07.943 He has a very serious objective, and that is to assess and to make sure that I leave here humbled and confused. 01:19:11.825 --> 01:19:16.308 The ones in the human space, they measure RNAse P, which is a gene that's human. 01:19:16.843 --> 01:19:20.306 and they compare that CT value to the CT value you get from the virus. 01:19:20.366 --> 01:19:23.609 Now you have a numerator and a denominator, and you can call a viral load. 01:19:23.689 --> 01:19:29.414 And according to the Mikey guidelines that Buston-Drawson himself authored, he spelled this out very clearly. 01:19:29.434 --> 01:19:30.855 You don't have a viral load without two numbers. 01:19:31.856 --> 01:19:32.316 you need both. 01:19:32.516 --> 01:19:40.480 But there is a lot of PCR out there in the coronavirus space where they're just skipping that, ignoring the internal control, and just saying if we get any signal out to 37, we call it positive. 01:19:41.041 --> 01:19:42.722 And they will refuse to sequence anything. 01:19:42.742 --> 01:19:46.884 I think the CDC only sequences stuff below 28, and I see other labs doing it below 32. 01:19:46.924 --> 01:19:50.786 So they don't really have sequence validation on the stuff past 32. 01:19:50.866 --> 01:19:51.906 All that stuff could be noise. 01:19:51.986 --> 01:19:54.628 It could be influenza, it could be other coronavirus. 01:19:54.748 --> 01:20:00.671 But the other thing to realize, Jason, is that marijuana, because of its, 01:20:02.728 --> 01:20:10.092 cannabis because of its bouquet of medically active compounds. 01:20:10.112 --> 01:20:10.913 Let's call them that way. 01:20:10.933 --> 01:20:12.013 They can be psychoactive. 01:20:12.053 --> 01:20:14.995 They can also be physiologically active as well. 01:20:16.796 --> 01:20:18.797 Not that dissimilar from pine trees. 01:20:20.098 --> 01:20:30.144 There are lots of plants that because of the breadth and the depth of their variation are great candidates for personalized medicine. 01:20:31.580 --> 01:20:42.031 And one of the ideas that he's put forth before and one of the arguments that he's offered before of sequencing cannabis was specifically for this, to make personalized weed. 01:20:42.211 --> 01:20:48.558 Or maybe just to sequence you so that they could figure out what kind of weed you're predisposed to enjoy. 01:20:48.578 --> 01:20:51.421 You know, you should have a sativa or an indica or something like that. 01:20:51.821 --> 01:21:03.848 And of course, on a pharmaceutical level, on a biopharmaceuticals level, they would be talking about the relative ratios of different compounds and trying to follow that with the genetics of the plant so that they could predict it and manipulate it. 01:21:04.968 --> 01:21:09.291 Once they can predict it and manipulate it, then in theory, they could breed pot plants for different people. 01:21:09.351 --> 01:21:17.255 That's the argument, but it's a wrong argument because you're just getting back to personalized medicine in some weird way to get in it. 01:21:19.005 --> 01:21:28.829 And the more it has to do with things that people find interesting or people are motivated to argue for, like weed or psychedelics, then the more it makes sense. 01:21:28.929 --> 01:21:35.511 And they're going to do the same thing with psychedelics, that psychedelics represent something that happens and helps some people and can make other people crazy. 01:21:35.971 --> 01:21:42.494 And so if we figure out the genetic basis for this, we could find a whole new, a whole new tablet of medicines that could be useful to us. 01:21:43.430 --> 01:21:57.750 And like Kevin McKernan said on the Danny Jones podcast that I highlighted on my last JC on the hardwood, we wouldn't just be drugging people willy nilly, but we would sequence their genomes and then drug them specifically for their genomes. 01:21:57.790 --> 01:21:59.533 He's almost said that word for word. 01:22:02.970 --> 01:22:06.551 And so that's the bait and switch illusion shell game that's going on here. 01:22:06.631 --> 01:22:11.153 You know, I'm just, I like weed and I like, you know, cool shirts and I like cats and whatever. 01:22:11.793 --> 01:22:16.635 And I like to post pictures of, of plates that were dead a long time ago. 01:22:17.236 --> 01:22:19.076 That's not a useful experiment behind him. 01:22:19.096 --> 01:22:21.097 That's an experimental plate out of the garbage. 01:22:21.157 --> 01:22:28.520 So the whole idea that he puts that behind him already tells you that he's it's garbage. 01:22:29.477 --> 01:22:30.497 Something's wrong here. 01:22:30.537 --> 01:22:36.579 You don't proudly post a piece of garbage behind you. 01:22:36.799 --> 01:22:37.339 That's weird. 01:22:37.759 --> 01:22:37.979 I see. 01:22:37.999 --> 01:22:38.519 We don't know. 01:22:38.539 --> 01:22:39.639 They're not sequencing that stuff. 01:22:41.600 --> 01:22:41.960 I see. 01:22:42.960 --> 01:22:46.461 And that 13 number kind of lines up with probably what you've seen from Didier Riel's lab. 01:22:48.121 --> 01:22:50.801 The paper out of, I think it was Jessica. 01:22:51.622 --> 01:22:54.682 Didier Riel, the guy who said that hydroxychloroquine worked. 01:22:54.902 --> 01:22:58.163 But of course, there was a pandemic, but hydroxychloroquine was working. 01:22:59.841 --> 01:23:00.221 that guy. 01:23:02.604 --> 01:23:12.936 Jafar, I may have, no Rita Jafar, she did this work where they calibrated PCR on Vero cells to show what CT, they stopped forming PFUs. 01:23:12.956 --> 01:23:14.999 And you should know Vero cells are hyper 01:23:15.615 --> 01:23:17.176 They're very sensitive to this virus. 01:23:17.276 --> 01:23:20.859 If you compare Vero cells to human cells, you don't get the same PFU value. 01:23:20.959 --> 01:23:22.380 So he's saying the same thing again. 01:23:22.440 --> 01:23:26.442 Now he's telling me about PFU values and bamboozling me again. 01:23:26.943 --> 01:23:30.685 So of course what's coming is, oh man, what is a PFU? 01:23:30.745 --> 01:23:32.006 That's so crazy. 01:23:32.106 --> 01:23:32.507 Wow. 01:23:32.567 --> 01:23:33.667 I don't know any of this stuff. 01:23:33.687 --> 01:23:34.548 You're so smart. 01:23:37.090 --> 01:23:40.512 As you get orders of magnitude lower, PFU values when you use human cell lines. 01:23:41.417 --> 01:23:43.938 The Vero cells really make a lot of PFUs. 01:23:43.958 --> 01:23:46.560 And so they found the number around 33 with their assay. 01:23:46.600 --> 01:23:50.242 So there's a lot getting called above and beyond 32. 01:23:50.562 --> 01:23:52.443 What is PFU? 01:23:52.483 --> 01:23:53.764 Is that like per? 01:23:54.344 --> 01:23:57.946 Oh, PFU is platforming units, like colony forming units. 01:23:57.966 --> 01:23:59.747 These colonies back here, you might see. 01:24:00.027 --> 01:24:00.607 You count those. 01:24:00.668 --> 01:24:01.788 Each one of those is a CFU. 01:24:02.328 --> 01:24:04.630 With viruses, you make a lot of cells. 01:24:05.370 --> 01:24:07.472 And then the plaques form where all the cells are dying. 01:24:08.152 --> 01:24:11.234 And those are each individual virions that seeded that death. 01:24:11.455 --> 01:24:13.496 And so you count the plaque forming units and stuff. 01:24:13.796 --> 01:24:16.758 I don't think that what he pointed at is what he said it was. 01:24:16.898 --> 01:24:18.640 And I think that's part of the test. 01:24:21.662 --> 01:24:24.304 Now, I knew that already in this video, but I didn't say it. 01:24:24.344 --> 01:24:27.226 But I also didn't, I just thought it was a joke that he put that behind him. 01:24:28.612 --> 01:24:36.358 But this question was real, but this answer, I immediately, you can see it in my face, I think I understood already that something was wrong here, but then I let it go. 01:24:37.859 --> 01:24:39.640 Because overwhelming is overwhelming. 01:24:39.680 --> 01:24:41.181 And I was overwhelmed in this video. 01:24:42.702 --> 01:24:43.823 Yeah. 01:24:44.043 --> 01:24:47.646 And so you measure a PFU curve and calibrate it to a CT level. 01:24:47.666 --> 01:24:51.709 And then you have a sense of, okay, this assay is picking up viability. 01:24:52.222 --> 01:24:53.183 out at a certain time. 01:24:53.684 --> 01:24:54.005 I see. 01:24:55.427 --> 01:25:00.233 I understand that so much better now than I've read it probably 50 times and I didn't really fully understand it. 01:25:00.273 --> 01:25:00.714 That's funny. 01:25:01.515 --> 01:25:01.795 Yeah. 01:25:03.057 --> 01:25:04.379 But I don't do viruses, right? 01:25:04.419 --> 01:25:08.304 I mean, just trying to read into this immunology and so much of it just doesn't make 01:25:09.195 --> 01:25:10.136 congruent sense. 01:25:10.196 --> 01:25:12.337 I mean, I can't tell you all the details. 01:25:12.997 --> 01:25:16.099 And that's why it's really interesting to talk to you. 01:25:16.159 --> 01:25:22.303 So the next thing that from a general biologist perspective has been on my mind for a long time is the idea that 01:25:23.098 --> 01:25:38.843 Moderna and Pfizer have told us that they have this sequence and they can make many good copies of it and then put it in our cells and they'll make very many good copies of a protein that will harmlessly provoke an immune response that we can rely on in the future. 01:25:38.883 --> 01:25:48.086 And a lot of that seems odd, but the most odd of it was this calling it vaccination instead of transfection. 01:25:48.146 --> 01:25:52.207 And I always understood transfection as being something that 01:25:53.067 --> 01:25:58.770 I mean, when we did it to our mice, it was an endpoint after five or six weeks of having transfected. 01:25:58.810 --> 01:25:59.570 Look at his face. 01:26:01.691 --> 01:26:02.712 This is why he's here. 01:26:04.853 --> 01:26:07.154 This is the serious point in the conversation. 01:26:07.214 --> 01:26:09.095 This is the part where he can't make a mistake. 01:26:11.936 --> 01:26:16.398 I did a particular, let's say, optogenetic protein in the brain. 01:26:16.479 --> 01:26:19.100 That area of the brain is also going to be a little bit. 01:26:21.041 --> 01:26:21.441 Unhappy. 01:26:21.633 --> 01:26:23.535 Yeah, unhappy, let's say it like that, yes. 01:26:23.755 --> 01:26:27.258 Yeah, if you overdo it with the lipid nanoparticles, they become toxic. 01:26:27.639 --> 01:26:30.982 If you overdo it with the lipid nanoparticles. 01:26:32.563 --> 01:26:38.509 But transfection in a mouse brain is with adenovirus, so non-infectious adenovirus. 01:26:40.130 --> 01:26:41.392 If you overdo it, 01:26:42.765 --> 01:26:46.147 Huh, let's hear how he's gonna talk his way out of this one. 01:26:46.727 --> 01:26:52.530 So you can't, usually you have to go in at low MLI, low multiplicity infection in order for you to get. 01:26:52.730 --> 01:26:54.851 You gotta go in at a low MLI. 01:26:55.592 --> 01:26:56.332 Stop lying! 01:26:57.092 --> 01:27:02.295 Holy cow, just another term just trying to bury me under stuff I didn't know existed. 01:27:02.755 --> 01:27:05.757 And those terms are supposed to provoke ideas. 01:27:06.277 --> 01:27:10.299 And the idea is, is that if it doesn't provoke an idea, what does that signal to you? 01:27:10.960 --> 01:27:11.620 You don't know. 01:27:13.871 --> 01:27:15.992 And that's how these people bamboozle you. 01:27:16.032 --> 01:27:20.194 If you say, I don't know, I'm going to just try to figure out one really quick. 01:27:26.057 --> 01:27:34.061 The calculatory difference between indebted vaccinology and infectious immunology. 01:27:35.933 --> 01:27:50.223 Now, if I could say that three times in a row, like with conviction, even though it doesn't mean anything, you can imagine a scenario where in biology, you can hear a lot of those combinations of words and what's provoked in a tenure seeking. 01:27:51.385 --> 01:27:57.907 graduate student wanting to graduate is, wait, I don't understand those three words. 01:27:57.967 --> 01:27:59.348 Can you define them for me? 01:27:59.708 --> 01:28:01.229 He said, P-F-U. 01:28:01.369 --> 01:28:03.029 I said, wait, I don't know what that means. 01:28:03.089 --> 01:28:06.250 Then he put what it means into my head. 01:28:06.731 --> 01:28:16.094 And now for years afterward, anytime I hear P-F-U, I already know what that means because Kevin McKernan told me, and I feel very good about remembering what it means. 01:28:19.795 --> 01:28:33.760 And now understand that if you have teachers that don't have your best interest in mind, you can build up a whole bunch of things that you don't know, that you think are part of your toolbox, and then start using them to build things. 01:28:33.820 --> 01:28:35.880 And everything you build will be built out of nothing. 01:28:38.461 --> 01:28:41.782 And that's what I think a lot of biology and medicine is right now. 01:28:41.882 --> 01:28:49.305 It is an elaborate illusion that is based on very, very, very fundamental concepts that are wrong. 01:28:51.107 --> 01:28:54.930 And the best that I can codify them right now is evolution because of DNA. 01:28:54.990 --> 01:29:03.316 That is a foundationally false idea, most of which our understanding of ourselves is based on. 01:29:04.457 --> 01:29:09.200 And ultimately, the reason why we think intramuscular injection isn't a bad way to give each other medicine. 01:29:15.459 --> 01:29:16.819 those transfection systems to behave. 01:29:16.859 --> 01:29:25.421 I've done, I've done some of the valiant transfection in the, I can't say this about the lipid nanoparticles they're using because they've modified them, but the ones that we were typically using were ruined. 01:29:25.761 --> 01:29:28.042 They modified the lipid nanoparticles. 01:29:28.122 --> 01:29:38.724 So he actually has also said exactly the same thing that Robert Malone saying in August of 2021, that I never imagined Peter McCullough, what Peter Cullis has done here. 01:29:38.744 --> 01:29:41.785 I never imagined technology that would be so efficient. 01:29:45.680 --> 01:29:49.503 And so he can't speak to the nanoparticles here because they've done something different. 01:29:49.883 --> 01:29:50.644 Stop lying! 01:29:51.064 --> 01:29:54.627 Sounds like he's protecting the intellectual property of this bullshit, doesn't it? 01:29:55.228 --> 01:29:59.872 Betragen is surest way to destroy your cell lines is to put too much of it in there. 01:30:01.012 --> 01:30:04.255 So I'm very skeptical of what they've claimed. 01:30:04.295 --> 01:30:10.640 They've claimed they have these mRNAs that get transfected and then that they make this perfect spike protein. 01:30:10.740 --> 01:30:11.521 They've never shown that. 01:30:11.857 --> 01:30:14.918 I mean, unless your audience can find, I really hope someone can prove me wrong. 01:30:15.018 --> 01:30:16.618 So now again, what's the question? 01:30:16.978 --> 01:30:17.859 Stay disciplined. 01:30:17.919 --> 01:30:25.301 The question is, do they make the spike protein that they're supposed to make, or do they make that and stuff other than that? 01:30:26.361 --> 01:30:27.821 Because then what's the problem? 01:30:28.202 --> 01:30:32.323 We just have to optimize it so that they do only make the spike protein. 01:30:32.823 --> 01:30:33.563 Stop lying! 01:30:34.163 --> 01:30:40.445 Already in 2021, we are already seeding a narrative, starting to try and get me to think that way. 01:30:41.374 --> 01:30:47.319 that there are problems with it, that it might have been rushed, that there are shortcomings in the manufacturing that still need to be overcome. 01:30:48.641 --> 01:30:59.331 Not that expression of a protein by transfecting a human is a bad idea, but the way that we are doing it might fall short. 01:31:04.535 --> 01:31:05.236 Here, because I've been 01:31:05.640 --> 01:31:08.882 There's now like so many millions of papers of SARS-CoV-2 out there. 01:31:08.902 --> 01:31:11.263 It's very hard to dig through the literature and find exactly. 01:31:11.283 --> 01:31:12.243 Oh, I've been looking. 01:31:13.984 --> 01:31:23.369 I've been looking for if anyone has found like dose, you know, if they have some range of what they expect to go into circulation or what they expect to be produced. 01:31:25.276 --> 01:31:42.252 And the other thing that you've written a paper about recently is the obvious unknown of post-translational modification and then how the protein itself is folded, given the fact that it's not the actual sequence, they've molded the sequence in such a way. 01:31:43.430 --> 01:31:49.273 Yeah, so that is, I think that's criminal in that it's technically a prodrug, right? 01:31:49.333 --> 01:32:00.137 Because you're giving a sequence that you're transfecting into cells and you're asking your cells to make the final drug without ever having to declare what the final drug is or prove the fidelity of making that final drug. 01:32:00.437 --> 01:32:06.640 So that's a pretty spectacular argument that I think if he made it in December 2021, he still should be making it now. 01:32:10.987 --> 01:32:13.207 But it's still an argument about purity. 01:32:14.728 --> 01:32:18.769 It's still an argument about whether it does what it says on the label. 01:32:18.789 --> 01:32:20.729 It still sounds like an FDA problem. 01:32:25.130 --> 01:32:29.911 And so maybe the FDA didn't regulate a prodrug like it's supposed to have regulated a prodrug. 01:32:29.931 --> 01:32:33.392 And maybe we should get rid of the FDA because they can't regulate this kind of prodrug. 01:32:37.049 --> 01:32:41.874 I'm still hearing something fishy here, although it does sound much better than the last 10 minutes did. 01:32:42.835 --> 01:32:44.356 They got away with a hall pass on that. 01:32:44.496 --> 01:32:51.303 Like if this were some other drug that was a pro-drug that your liver modified and turned into another drug, you'd have to have all these P450 studies, you've got bad dose rate. 01:32:51.323 --> 01:32:53.605 Oh, that's a really wonderful way to explain it. 01:32:53.645 --> 01:33:01.833 I think a lot of people will, even some nurses and stuff would understand that if you point out that if this was a pro-drug that had to go through the liver first, 01:33:02.941 --> 01:33:10.567 then you would have so many more checks and balances and tests and trials that would have needed to be done on all stages of that before. 01:33:10.587 --> 01:33:12.268 You'd have to prove what the final drug is. 01:33:12.908 --> 01:33:13.849 Right, right, right. 01:33:14.309 --> 01:33:17.812 They have no evidence that they're making a spike protein off of this MR. 01:33:18.649 --> 01:33:21.210 I mean, they have, they have a couple, I shouldn't say no evidence. 01:33:21.230 --> 01:33:25.172 There's papers out there where they take these things and they express them in other posts. 01:33:25.593 --> 01:33:25.973 Right. 01:33:26.073 --> 01:33:28.894 And I've seen a couple of 3D, um, you know, crystal structures with them. 01:33:28.954 --> 01:33:30.895 They've all used modifications of it. 01:33:30.915 --> 01:33:34.757 Like they put a twin strap on one end so they can purify these and crystallize them. 01:33:34.777 --> 01:33:38.079 Or they're not, they're not using the pseudo uridine template. 01:33:38.119 --> 01:33:41.561 Sometimes they're putting them in DNA vectors and getting them to express, you know, so. 01:33:43.096 --> 01:33:53.701 The actual mRNA getting injected into people and what actual peptide sequences that those mRNAs manufacture in cells, I can't find literature on. 01:33:53.741 --> 01:33:57.983 I can find some people- So why didn't he say any of this in front of the Senate? 01:34:00.620 --> 01:34:17.334 Why wouldn't, if you could, if you could spike the football by saying the whole list of reasons why this was dumb, which he hasn't said yet, of course, he's on a specific list of reasons that all falls under a grand category of it sucks now, but we could make it better. 01:34:18.995 --> 01:34:26.321 He's not gonna touch the biology of expressing proteins that aren't supposed to be where they are in healthy people. 01:34:28.117 --> 01:34:37.081 He's only gonna discuss it as a product that doesn't meet what it says on the label, has not been evaluated in the way it should have been evaluated. 01:34:38.262 --> 01:34:44.565 He's not gonna ever object to the methodology of using this technology on healthy people. 01:34:45.446 --> 01:34:49.428 He's not even gonna frame it in that context where a question like that would make sense. 01:34:50.028 --> 01:34:51.969 That's his job here. 01:34:53.049 --> 01:34:59.794 By the time you're done talking to this guy, you better make sure that he never asks a useful question about this again, or we're in big trouble. 01:35:05.859 --> 01:35:13.906 Sent me material that were from Pfizer's disclosures, I think to some European government agencies, which I can forward to you if you want to link into this chat. 01:35:14.947 --> 01:35:19.030 But they basically show that they have all types of problems in multiple different bands. 01:35:19.070 --> 01:35:22.713 When they go and try to express these in vitro, they get all types of 01:35:22.964 --> 01:35:29.952 fragmentation that occurs, and they don't know if it's fragmentation of the virus or stall points in translation, and the banding patterns they see on gels are smears. 01:35:30.513 --> 01:35:39.604 So don't you think by now, if all of what he said is true, don't you think by now he should have already said, I think we should stop all of these things in people? 01:35:40.385 --> 01:35:41.246 We should just stop. 01:35:41.306 --> 01:35:42.707 It's just crazy that we're doing it. 01:35:43.590 --> 01:35:46.011 At what point does that become the actual message? 01:35:46.052 --> 01:35:59.860 Like, you know, when you're breaking up with somebody and you talk to them for like four hours about all the fun times you had together and about how bad things are all the time and whatever, but in the end, you can't just say, I wanna break up with you. 01:36:01.281 --> 01:36:12.047 And it's so striking to me how all of these fakers are so good at talking for so long and saying nothing useful, you know, really simple. 01:36:14.522 --> 01:36:15.242 Get to the point. 01:36:16.423 --> 01:36:17.364 But there is no point. 01:36:18.244 --> 01:36:22.307 The point is fear, uncertainty, and doubt, and if necessary, coercion. 01:36:25.969 --> 01:36:31.652 And there's questions on them having to clarify why are those smears not the right size, the anticipated size. 01:36:32.172 --> 01:36:34.754 And that's all we can see from some of the regulatory disclosures. 01:36:34.794 --> 01:36:39.977 So what has me worried about what they did is they took 01:36:40.754 --> 01:36:47.217 a sequence that was already code unoptimized by a virus adapted to its host and decided to make it different. 01:36:48.177 --> 01:36:50.738 And that's also a wonderful enchantment. 01:36:50.758 --> 01:36:54.779 Look at it, look at it falling through the little Plinko board of my head. 01:36:55.600 --> 01:36:59.301 So the virus has already optimized the spike protein. 01:36:59.501 --> 01:37:01.242 Ooh, I got to play the music. 01:37:02.099 --> 01:37:05.561 Ooh, the virus has already optimized the spike protein. 01:37:05.761 --> 01:37:06.922 The virus evolved. 01:37:07.422 --> 01:37:09.063 Virus is an evolved virus. 01:37:09.603 --> 01:37:11.544 Oh, what if it's not an evolved virus, Kevin? 01:37:11.584 --> 01:37:14.526 What if it's a laboratory designed virus, Kevin? 01:37:14.546 --> 01:37:15.967 You forgot all about that, Kevin. 01:37:17.728 --> 01:37:20.910 We know this is now the most toxic protein probably in virus, right? 01:37:21.490 --> 01:37:24.192 So if a virus has evolved a certain codon structure. 01:37:24.292 --> 01:37:24.752 Look at me. 01:37:24.772 --> 01:37:25.432 It probably has 01:37:29.076 --> 01:37:35.742 got the codon structure right, and that it needs to make sure it's not lethal to the host so it can still survive transmission. 01:37:36.732 --> 01:37:40.314 but they went with the route of supercharging this by codon optimizing it. 01:37:40.355 --> 01:37:40.475 So. 01:37:40.995 --> 01:37:41.996 Oh my gosh. 01:37:42.116 --> 01:37:52.103 So then he's actually saying that the spike protein that they make could even be worse than the spike protein that the virus optimized not to kill the host. 01:37:52.543 --> 01:37:53.143 Holy cow. 01:37:53.183 --> 01:37:54.244 I almost missed that. 01:37:54.284 --> 01:37:56.406 That's, that's even more spectacular. 01:37:56.426 --> 01:37:56.966 Do you hear it? 01:37:57.006 --> 01:37:57.967 More inhuman. 01:37:58.207 --> 01:38:02.370 I mean, this is what I'm not as evolved a certain codon structure for a toxic peptide. 01:38:03.811 --> 01:38:05.012 It probably has, 01:38:06.007 --> 01:38:12.732 got the codon structure right, and that it needs to make sure it's not lethal to the host so it can still survive transmission. 01:38:13.693 --> 01:38:19.417 But they went with the route of supercharging this by codon optimizing it so it would express even more in human. 01:38:19.637 --> 01:38:24.821 I mean, this is what I'm not, I think I do, whenever you want to hyperexpress a protein, this is just what we do. 01:38:24.841 --> 01:38:31.226 We codon optimize it, we put it behind a really heavy promoter, toss it into some cells that are gonna be sacrificial, and just jack the expression of it up. 01:38:31.826 --> 01:38:33.747 But you're doing this in cells you know you're gonna kill, 01:38:35.441 --> 01:38:38.162 and then purify as much of the damn protein as you can. 01:38:38.202 --> 01:38:40.542 That's not necessarily what you need to do to dose humans. 01:38:41.122 --> 01:38:51.965 You shouldn't be necessarily aiming for maximum expression, because when an RNA gets into a cell and starts making maximum expression, all types of triggers go off on the interferon system, being like, this could be cancerous. 01:38:52.045 --> 01:38:53.145 Like, what the hell's going on here? 01:38:53.605 --> 01:38:56.806 You could get apoptosis, because you're expressing way too much protein in a particular cell. 01:38:57.266 --> 01:38:59.486 So they did a lot of things to jack up the expression. 01:38:59.506 --> 01:39:02.227 They put a beta-globin promoter on there, which is a pretty aggressive promoter. 01:39:02.824 --> 01:39:06.706 They then codon optimized it, which didn't need to be done, in my opinion. 01:39:07.126 --> 01:39:09.307 And that creates all types of other problems. 01:39:09.347 --> 01:39:15.030 When you codon optimize it, you don't know that the translation is going to go at the same speed anymore. 01:39:15.690 --> 01:39:18.952 It may slow down due to all types of knots in the RNA you've created by doing this. 01:39:19.352 --> 01:39:27.056 Like there are quadruplex G structures now that we know in the RNA that are much more frequent in the messenger RNAs than they are in the actual natural virus. 01:39:27.366 --> 01:39:29.627 Does that make error rate go up then too, or? 01:39:29.687 --> 01:39:31.288 It makes translation error go up. 01:39:31.468 --> 01:39:38.152 It also attracts other types of regulatory proteins to the molecules because quadriplex G structures look like telomeres. 01:39:38.493 --> 01:39:40.574 And so telomeres are involved in sensitance. 01:39:41.454 --> 01:39:43.816 If you look at telomeres, they're all quadriplex Gs. 01:39:44.236 --> 01:39:44.997 Sensitance. 01:39:45.337 --> 01:39:46.477 I think it's senescence. 01:39:49.008 --> 01:39:53.351 I think it's very interesting that he mispronounces that word or pronounces it in that funny way. 01:39:54.431 --> 01:39:57.413 Telomeres is Brett Weinstein's little hat. 01:39:58.654 --> 01:40:00.795 Also a very interesting thing to drop there. 01:40:03.477 --> 01:40:04.277 It's not random. 01:40:05.618 --> 01:40:06.959 I assure you it's not random. 01:40:07.039 --> 01:40:07.999 It's really hilarious. 01:40:09.320 --> 01:40:14.763 And so those things recruit proteins that are involved in the life cycle of the cell, that are involved in cancer. 01:40:14.943 --> 01:40:15.704 Look at my eyes. 01:40:16.809 --> 01:40:25.851 So there's actually proteins in SARS that are attracted to, there's the NSP13 protein that's attracted to quadriplegics, right? 01:40:25.891 --> 01:40:36.454 So they now have much, I think there's like four in the natural virus that goes to like maybe nine and into the teens on the Moderna and Pfizer vaccine. 01:40:36.474 --> 01:40:43.936 So they're creating a lot more of these stall points and translation and other biological motifs that might alter the biochemistry of the cell. 01:40:44.804 --> 01:40:51.906 Uh, the other thing that they did is they put a, a universal base in there, uh, known as pseudo-uridine. 01:40:52.326 --> 01:40:52.566 All right. 01:40:53.487 --> 01:40:54.787 And many, you've probably heard about this. 01:40:54.827 --> 01:41:00.429 The patents go to UPenn and, uh, I've never held it, heard it called a universal base before though. 01:41:01.109 --> 01:41:01.969 It's a degenerate base. 01:41:02.009 --> 01:41:02.129 Yes. 01:41:02.149 --> 01:41:08.231 So it binds to, they won't call it that, but I built DNA sequencers on degenerate bases and those things were on a radar for a reason. 01:41:08.911 --> 01:41:09.432 Uh, yeah. 01:41:09.472 --> 01:41:13.753 So it binds to, uh, it has pseudo-uridine being uracil. 01:41:15.232 --> 01:41:17.756 should have, it's like a fine replacement. 01:41:17.816 --> 01:41:18.117 Okay. 01:41:18.177 --> 01:41:20.901 So it should have a, it should have one of these 80 pairs. 01:41:21.422 --> 01:41:21.903 Right. 01:41:22.263 --> 01:41:26.370 And unfortunately this thing also binds to G. It also binds to itself. 01:41:26.892 --> 01:41:30.974 It also has some binding to cytosine. 01:41:31.094 --> 01:41:34.116 So this means that it's a very, very sticky base. 01:41:34.396 --> 01:41:36.477 It can flip around and bind. 01:41:36.917 --> 01:41:38.738 If you actually look at its glycosic bond. 01:41:38.798 --> 01:41:42.340 And I don't want to sound like an idiot, but this is the first time I've ever heard this for me. 01:41:42.480 --> 01:41:47.363 I always just assumed it was a chemically different substitute for a single base. 01:41:48.164 --> 01:41:48.484 It does. 01:41:48.564 --> 01:41:49.364 It replaces it. 01:41:49.384 --> 01:41:53.867 They're replacing all of the use with this because it's more RNase resistant. 01:41:54.147 --> 01:41:54.447 Okay. 01:41:54.487 --> 01:41:55.748 So it doesn't degrade as much. 01:41:55.808 --> 01:41:56.348 So that meant, 01:41:56.704 --> 01:42:03.749 So you've now got an RNA, you've codon optimized it, you put a heavy promoter on it, and now you also took away the breaks. 01:42:05.030 --> 01:42:12.455 The breaks are usually RNAs that come in and chew up these messenger RNAs, but they put- I think he's also confusing us here when he says promoter. 01:42:14.317 --> 01:42:22.863 I actually think that this is something that I didn't hear before, but this is confusing because I don't think the RNA in the shot contains a promoter. 01:42:25.834 --> 01:42:27.875 because it's RNA, it would just be translated. 01:42:28.735 --> 01:42:31.536 I think it's gotta have something on it, but it's not a promoter. 01:42:32.557 --> 01:42:43.621 A promoter is a sequence that comes before a gene that causes the gene to be expressed, attracts the translation material or the translation enzyme. 01:42:43.662 --> 01:42:50.184 So a promoter on an RNA molecule, I don't think that's accurate. 01:42:50.424 --> 01:42:54.046 I think they use a promoter on the DNA that they use to produce the RNA. 01:42:56.863 --> 01:42:58.885 I don't think that promoter gets translated. 01:43:00.346 --> 01:43:04.831 I do think that there is some level of confusion here and making, you know, I don't understand. 01:43:04.931 --> 01:43:06.112 Obviously, I don't understand. 01:43:06.973 --> 01:43:09.035 But I understand now better than I did then. 01:43:09.095 --> 01:43:10.877 And I think that this is something wrong. 01:43:10.917 --> 01:43:11.938 There's something wrong here. 01:43:12.498 --> 01:43:18.499 was saying they put a very strong promoter on it, because that still would only be during the production stage. 01:43:18.519 --> 01:43:23.941 The mRNA that's put inside of people doesn't have a beta-actin promoter. 01:43:23.961 --> 01:43:27.982 As far as I know, correct me if I'm wrong, iron sharpens iron, right? 01:43:28.522 --> 01:43:32.083 Let's make sure if I'm wrong about that, but I think this is wrong. 01:43:32.283 --> 01:43:36.644 A long poly-A tail on this, and they put these pseudouridines in there so that the RNases can't touch it. 01:43:37.064 --> 01:43:41.285 Now, there's a consequence to doing that, is when you camouflage these things from RNases, 01:43:41.854 --> 01:43:48.956 You also start triggering a lot of the toll receptors to get malfunctioned, like toll receptor 3, 7, and 8 could all scurry with pseudo-uridine. 01:43:49.036 --> 01:43:51.776 But that's a separate topic we can bench for later. 01:43:51.816 --> 01:43:58.158 The thing I want to get across is that the base that they have in there is not very specific. 01:43:58.398 --> 01:44:02.299 And so when you don't have specific binding, you can get all types of misbinding. 01:44:02.739 --> 01:44:04.720 You can get all types of hairpin formations to form. 01:44:05.100 --> 01:44:06.160 But more importantly, 01:44:07.561 --> 01:44:13.648 This will create errors in replication and DNA, but the errors that are actually orders of magnitude more frequent are errors in translation. 01:44:14.729 --> 01:44:18.313 There actually has to be quite a bit of 01:44:19.455 --> 01:44:22.336 of cross-promotion in a negative way. 01:44:23.096 --> 01:44:36.380 So what you actually will see also today, this is a message for Jung, Insif, or I don't know how to say your name, because they also have bad guys that they are working together with. 01:44:36.460 --> 01:44:38.801 And so in this case, that Norman guy from 01:44:40.117 --> 01:44:43.419 He's from Poland and he used to work for the CDC. 01:44:43.459 --> 01:44:48.641 That guy has been trashing me since I saw him on the internet. 01:44:48.681 --> 01:44:53.964 And it's trashing me about clones and about the idea that RNA virology is fake. 01:44:54.044 --> 01:44:57.126 He is so evil, so nasty about it. 01:44:58.146 --> 01:44:59.007 And it's ridiculous. 01:44:59.207 --> 01:45:02.788 It's absolutely ridiculous because there's an added little bit that you don't know. 01:45:03.249 --> 01:45:09.212 And that is that you may not be aware, but Jessica Hockett and Jonathan Engler 01:45:10.072 --> 01:45:19.010 actually did a podcast with that Norman guy and tried to get him to talk to me in private, but he wouldn't. 01:45:20.540 --> 01:45:29.885 And that was around the same time that Jonathan Engler and they were writing this stupid virology review on Substack that I hated and that I got, it all happened at the same time. 01:45:30.346 --> 01:45:32.247 And Norman was part of this little group. 01:45:32.287 --> 01:45:39.171 They were trying to get me to accept Norman as a good guy, expert, and I should talk to him in private. 01:45:39.711 --> 01:45:46.535 But on X, Norman had already called me a clown many times in cooperation with some of the mouse army. 01:45:46.555 --> 01:45:48.036 And so it was already obvious 01:45:49.588 --> 01:45:59.832 And so that guy is now, I think, pretending to be opposed to Kevin McKernan, because they need to have opposition that they can argue with, because they can't argue with me. 01:46:00.832 --> 01:46:04.993 I know that sounds very egoistic, but that's really what's happening right now. 01:46:05.654 --> 01:46:11.576 These people have to ignore us, because they can't discuss the biology that we are discussing. 01:46:12.386 --> 01:46:20.448 and they can't discuss their history as we are discussing it, or it will reveal that they have run out the clock on our college kids. 01:46:22.628 --> 01:46:24.949 Our days then have to come in and read this thing. 01:46:25.609 --> 01:46:30.210 And when you have universal basis in there, they get all confused, and their translation errors go through the roof. 01:46:31.410 --> 01:46:33.090 And there's a couple of papers I can point you to. 01:46:33.130 --> 01:46:34.370 You're bumping your microphone or something. 01:46:34.831 --> 01:46:35.271 Oh, I am. 01:46:35.291 --> 01:46:35.831 My hands are on it. 01:46:35.851 --> 01:46:37.151 Sorry, there must be a- Oh, it's OK. 01:46:37.611 --> 01:46:38.291 Sorry. 01:46:39.512 --> 01:46:41.432 He's getting a little nervous, huh? 01:46:42.325 --> 01:46:43.326 I'm getting a little nervous. 01:46:43.346 --> 01:46:49.830 When you have this universal base in there, it not only confuses polymerases, but it more readily confuses the tRNAs and the ribosomes. 01:46:50.530 --> 01:46:53.452 They have a much harder job of having to put these triplet codons in there. 01:46:53.873 --> 01:47:02.418 And when one of the bases is mismatching to multiple different bases, the transcription, I'm sorry, translation errors go through the roof. 01:47:02.878 --> 01:47:03.479 Right. 01:47:03.979 --> 01:47:07.241 Now there's a paper on there that tries to measure these translation errors with pseudouridine. 01:47:07.281 --> 01:47:11.564 And they measure like, they can detect it when there's like one pseudouridine in there. 01:47:12.239 --> 01:47:16.321 And what we know from these mRNAs, every uracil is replaced. 01:47:17.122 --> 01:47:20.723 So there, that's a very interesting point that he makes, but never is made again. 01:47:21.184 --> 01:47:29.928 There's a paper out there, he says, that shows something to do with, what did he say? 01:47:29.988 --> 01:47:39.253 That shows that even one pseudouridine, if there's only one pseudouridine in there, they can detect 01:47:41.974 --> 01:47:44.516 they can detect the wobbling base. 01:47:44.877 --> 01:47:47.018 That's a very interesting statement to make, right? 01:47:47.058 --> 01:47:56.467 Because if that's the case, then we're really in big trouble because, I'm just gonna put this in here anyway, I don't care. 01:47:57.488 --> 01:48:05.635 And I'm gonna, let me see where I am on this video. 01:48:05.775 --> 01:48:06.696 Hold on one second. 01:48:06.776 --> 01:48:07.917 Hopefully it will start again. 01:48:07.937 --> 01:48:08.677 Oh no, it won't. 01:48:10.635 --> 01:48:15.478 Um, I, that's it. 01:48:15.938 --> 01:48:17.479 Um, I got to start that a little bit over. 01:48:17.519 --> 01:48:18.320 I apologize. 01:48:18.380 --> 01:48:22.402 I really wanted to put this in there, so I'm going to put it, I didn't dare to do it before, but I'm going to do it now. 01:48:22.582 --> 01:48:24.543 Um, I get ahead here. 01:48:24.864 --> 01:48:29.366 Peptide on the other end of that, that could get expressed as a chimeric protein. 01:48:29.386 --> 01:48:30.707 We've got no evidence for this in vivo. 01:48:30.727 --> 01:48:31.928 This is just all in silica. 01:48:31.948 --> 01:48:35.050 There's no way that thing creates high. 01:48:35.090 --> 01:48:40.133 You just said that you just said that they could detect the translation errors when there was only one. 01:48:40.697 --> 01:48:40.997 Yes. 01:48:41.257 --> 01:48:43.299 And these things have replaced all of them. 01:48:44.219 --> 01:48:47.101 So that's a huge statement. 01:48:47.461 --> 01:48:50.283 Again, I'm, I'm not, I'm learning a lot of this for the first time. 01:48:50.343 --> 01:48:52.384 I did not realize that this was this awful. 01:48:52.624 --> 01:48:54.145 Um, wow. 01:48:54.926 --> 01:49:04.832 Now that here's another thing that's really spooky about at least the Pfizer one is there's some papers out there that show when you put pseudo-uridine in the stop codons, the ribosomes read through it. 01:49:05.629 --> 01:49:07.170 and they sometimes frame shift on the way. 01:49:07.851 --> 01:49:08.632 So here we go. 01:49:09.753 --> 01:49:12.075 The ribosomes will read through it. 01:49:12.195 --> 01:49:28.471 And now, especially with Pfizer, this is interesting because Pfizer has other sequences on the end that could get translated into proteins we don't know, which a couple of years from now, from December of 2021, will become the translation of SV40. 01:49:32.529 --> 01:49:33.029 Do you see? 01:49:34.030 --> 01:49:39.012 He's actually suggesting that right now, he couldn't figure out that it was SV40. 01:49:39.432 --> 01:49:46.795 Right now, he wasn't smart enough to drop the sequence into BLAST and have it map the parts of the sequence. 01:49:47.175 --> 01:49:48.236 He didn't do it yet. 01:49:48.816 --> 01:49:55.799 He wasn't insightful enough as a geneticist to say, hey, wait, let's see the sequence that Pfizer published. 01:49:55.819 --> 01:49:56.780 Let's see what it looks like. 01:49:56.820 --> 01:49:57.200 Let's see. 01:50:00.137 --> 01:50:00.957 Isn't that interesting? 01:50:01.018 --> 01:50:05.680 He knows what's there, but he doesn't know how to figure it out or what it means or something. 01:50:06.541 --> 01:50:10.103 But he knows there's extra there, especially in the Pfizer one, not in the Moderna. 01:50:10.463 --> 01:50:12.104 The Moderna actually worked out great. 01:50:12.124 --> 01:50:15.606 We're going to use the Moderna model to fix the Pfizer model in five years. 01:50:15.986 --> 01:50:18.847 So he's got to seed the narrative in the right way with this character. 01:50:20.628 --> 01:50:20.869 True. 01:50:21.949 --> 01:50:28.913 It means they keep translating the RNA sequence that's past the double stop codon. 01:50:30.009 --> 01:50:35.873 So you have to ask what's on the three prime end of the Pfizer UTR, like what do they have back there? 01:50:36.473 --> 01:50:37.914 And we went and scanned all those things. 01:50:37.934 --> 01:50:43.858 And there's actually a human peptide on the other end of that that could get expressed as a chimeric protein. 01:50:43.878 --> 01:50:45.179 We've got no evidence for this in vivo. 01:50:45.199 --> 01:50:47.941 This is just all in silica stuff that we're looking at. 01:50:47.961 --> 01:50:50.322 Like if it- So what human protein is it? 01:50:50.462 --> 01:50:51.843 I wonder why he won't say that. 01:50:51.903 --> 01:50:52.724 Isn't that strange? 01:50:53.864 --> 01:50:57.166 If pseudouridine ablates that SOP codon, what does it read into? 01:50:57.747 --> 01:50:59.488 And it reads into a fairly long peptide 01:51:00.223 --> 01:51:04.273 that has some homology to GP 130, but we don't know much more about it. 01:51:04.333 --> 01:51:08.402 The data in NCBI is pretty sparse on whatever that thing is, but 01:51:09.225 --> 01:51:16.270 Some of that's in the paper we put together with Peter McCullough as to what human peptide is and what does that mean? 01:51:16.391 --> 01:51:21.615 Because writing papers with Peter McCullough about genomes makes perfect sense in 2021. 01:51:22.335 --> 01:51:34.864 Why wouldn't the cardiologist that spoke out about the usefulness of hydroxy, oh wait, the non-dangerousness of hydroxychloroquine, why would he be the guy that this guy publishes data with? 01:51:35.545 --> 01:51:36.626 Why not Robert Malone? 01:51:37.910 --> 01:51:38.991 Why not Steve Kirsch? 01:51:39.891 --> 01:51:41.873 Why not any other random person? 01:51:42.333 --> 01:51:43.313 Why Peter McCullough? 01:51:45.095 --> 01:51:57.302 That's a very relevant question that Jay in 2021 wasn't able to answer because Jay still thought that all these people were on the same good guy team and the people we needed to worry about were Liana Nguyen and Rochelle Walensky. 01:51:59.664 --> 01:52:01.425 That's who that guy is right there. 01:52:02.205 --> 01:52:06.008 He still thinks that Liana Nguyen and Rochelle Walensky, those are the bad guys. 01:52:07.148 --> 01:52:14.933 This guy is as good as Robert Malone and as good as Peter McCullough and Pierre Coderre, all part of the same fundamental biology team. 01:52:15.874 --> 01:52:19.076 It's Liana Nguyen and Peter Daszak that we have to worry about. 01:52:19.116 --> 01:52:19.956 That's where I was here. 01:52:19.996 --> 01:52:20.857 I still have that. 01:52:22.778 --> 01:52:23.638 Trust me, I remember. 01:52:26.886 --> 01:52:32.028 There's some error rate here, and I'm not suggesting every single spike protein that comes off this mRNA is going to do this. 01:52:32.068 --> 01:52:38.410 These error rates happen at frequencies that are very low, but you have to keep them in context to how many molecules they're injecting into you. 01:52:38.450 --> 01:52:41.731 They're injecting trillions of these things into you, right? 01:52:42.331 --> 01:52:49.574 So those numbers, times an error rate, some I've seen 10 to the minus four, 10 to the minus fifth rate, they matter. 01:52:49.834 --> 01:52:50.194 They matter. 01:52:50.214 --> 01:52:55.756 You're going to get, you could get chimeric proteins that come out of this that have human SARS chimeras, 01:52:56.468 --> 01:52:57.529 And what does it do? 01:52:57.549 --> 01:52:59.090 Does it create autoantibody issues? 01:52:59.110 --> 01:53:00.551 Does that create autoimmune issues? 01:53:01.792 --> 01:53:06.035 I mean, the long story short is these are all hypotheses that haven't been explored. 01:53:06.055 --> 01:53:09.897 They're in silica, but you do have to ask why. 01:53:10.037 --> 01:53:17.102 My hypothesis about McCullough is that he was one of these people who was recruited early because it was an emergency and he believed it. 01:53:18.183 --> 01:53:22.166 He believed in the potential of a lab leak and he was probably told that it was likely. 01:53:23.936 --> 01:53:26.258 He probably believed some of the things that were happening. 01:53:27.499 --> 01:53:37.707 But I do think that Peter McCullough is also crafty enough to know that there was a population pyramid problem approaching and that we might need an excuse to manage it. 01:53:39.608 --> 01:53:45.233 I think he's also smart enough to know at some point in time that he was taken by these people and used by these people. 01:53:45.273 --> 01:53:47.435 And that's why he's no longer in favor with them. 01:53:47.896 --> 01:53:53.081 That's why he was the first one to come out and say, you know, if I did it all over again, I don't think I'd give my kids any vaccines. 01:53:53.541 --> 01:53:57.305 The only person in that whole group who had any guts to say that first was him. 01:53:58.427 --> 01:54:03.931 And it was only months and months and months later that these other people came out and started saying it, maybe even years later. 01:54:04.391 --> 01:54:10.115 Peter McCullough was ahead of that curve by a long ways with regard to the dissident movement of COVID. 01:54:11.135 --> 01:54:15.338 And many of them still haven't even approached the possibility of saying those words out loud. 01:54:17.139 --> 01:54:21.562 I think Peter McCullough regrets participating and is probably not able to pull out of it anymore. 01:54:21.602 --> 01:54:23.103 And I think there are a lot of people like that. 01:54:24.024 --> 01:54:24.704 There have to be. 01:54:25.805 --> 01:54:27.066 It's the only way to explain it. 01:54:28.131 --> 01:54:31.734 They've seen behind the curtain and they know what happens to people who tell that story. 01:54:34.537 --> 01:54:35.278 They get canceled. 01:54:35.318 --> 01:54:36.619 They don't have to get eliminated. 01:54:36.659 --> 01:54:37.460 They get canceled. 01:54:37.800 --> 01:54:41.944 Their fame, their fortune, their comfort will completely disappear. 01:54:44.206 --> 01:54:54.015 They'll be back to renting a house and begging for donations or hoping that their sub stack doesn't lose subscribers or anything else that's sustaining them right now. 01:54:55.964 --> 01:55:00.726 the stipends that they get from Brownstone or something like that will dry up instantly. 01:55:03.627 --> 01:55:09.129 Maybe your very lucrative job as a staff scientist will be ended because you say the wrong name twice on your stream. 01:55:09.149 --> 01:55:09.549 Who knows? 01:55:10.290 --> 01:55:11.270 But that's how this works. 01:55:12.574 --> 01:55:28.363 People that you see rising in social media are the people that are approved acolytes that can control the narrative and direct it in the way that it needs to go so that the most adults are coerced into accepting that the reality is you're gonna be experimental animals in a generation. 01:55:29.984 --> 01:55:39.610 What did Pfizer and Moderna, these people, get away with getting the prodrug certified without ever having to show their hand on what the hell these things make in human cells? 01:55:41.461 --> 01:55:52.231 You know, that's, I've dug up a couple of papers in that paper with Peter on, okay, there's a couple other images in papers that look like this could be happening. 01:55:52.271 --> 01:55:58.257 Like when you ever, there's one great paper out there, I think from Bancel that looks at like spikes, spike proteins that are expressed in exosomes, right? 01:55:59.818 --> 01:56:02.540 In the blood, they showed them like four months later, really interesting paper. 01:56:02.560 --> 01:56:07.465 They do have some like SDS page images of what they, of those exosomes and they're smeary. 01:56:08.380 --> 01:56:19.588 And then there's another paper we found from Jiang et al that showed these, showing fragments, and the fragments that were getting expressed at the spike protein, they weren't all full length. 01:56:20.088 --> 01:56:23.390 They were different based on the cell fraction they isolated them from, right? 01:56:24.131 --> 01:56:27.813 And I think that was even with the DNA vaccine that didn't have the pseudouridine problems, right? 01:56:27.853 --> 01:56:32.677 So you can imagine that would get even worse if you had all these other complications put in there. 01:56:34.003 --> 01:56:37.786 My concern is we don't really know what these vaccines are producing. 01:56:37.806 --> 01:56:38.787 We don't know the fidelity of it. 01:56:39.308 --> 01:56:46.073 We suspect there's some spike protein because there's motifs that look like spike proteins because antibody studies, but we only have antibodies. 01:56:46.633 --> 01:56:48.475 So it's kind of like the people, you know, 01:56:48.908 --> 01:56:51.370 blindfolded doctors touching the elephant, right? 01:56:51.390 --> 01:56:53.872 You know, you got some similarity, fine. 01:56:54.813 --> 01:56:59.157 But we don't precisely know the diversity of what's getting expressed in humans. 01:56:59.837 --> 01:57:16.591 And we- So the only argument that could be made by CHD and Brian Hooker and Mary Holland and Meryl Nass and Robert Malone and Steve Kirsch and John Baldwin, that this guy is not saying all of this now, 01:57:17.452 --> 01:57:28.000 is because they think that the double-stranded DNA contamination is a legal way that they can qualify the countermeasures as being crimes. 01:57:30.282 --> 01:57:35.025 Otherwise, objecting to the methodology on its face is the way to go. 01:57:35.385 --> 01:57:44.472 And there's actually pretense in American law in an Idaho case where they challenged the biology of vaccination on its face, and it is supported. 01:57:45.233 --> 01:57:46.714 The case was won. 01:57:49.790 --> 01:58:03.477 Now, you're gonna have to do your own research to find that case and understand why it's not significant to today, but it kind of is, why it's important to understand that none of these people talk about it, why these people don't say strict scrutiny, and the rational basis test is for the same reason. 01:58:07.859 --> 01:58:18.204 We have an elaborate, an elaborate operation has been run on us by people who have agreed to follow a script that will end with us being 01:58:19.893 --> 01:58:35.005 unwittingly teaching our kids this mythology that includes AIDS and coronaviruses and RNA pandemics and antibodies that are immunity and vaccination that is the best invention in medicine's history. 01:58:35.806 --> 01:58:39.949 You should be concerned about that because these LNPs don't target particular cell lines, they go everywhere. 01:58:41.350 --> 01:58:43.412 So that's a much broader problem. 01:58:43.552 --> 01:58:45.674 If you knew that, okay, we're expressing 01:58:46.334 --> 01:58:59.177 Some fragmented spikes, but we've got them well-characterized, the data's public, and they're going only to cell lines that the virus sees, like ACE2 expressing cell lines or CD147 expressing cell lines. 01:58:59.197 --> 01:59:01.358 Fine, you've got an understood complexity of the problem. 01:59:01.758 --> 01:59:04.559 When you start using these LMPs, they transfect every cell they touch. 01:59:05.159 --> 01:59:14.061 So now you've got to worry about not just what does spike toxicity do in those, what does all the degenerate products of low-fidelity spike expression do to many more cell lines? 01:59:14.972 --> 01:59:20.354 it can really blow up like the complexity of the problem and even perhaps the symptomatology, right? 01:59:20.994 --> 01:59:22.915 So why isn't he saying this anymore? 01:59:22.995 --> 01:59:24.436 Why isn't he saying this anymore? 01:59:24.496 --> 01:59:31.298 Why is he focusing specifically on turbo cancer and double-stranded DNA and the SV40? 01:59:33.039 --> 01:59:33.379 Why? 01:59:36.340 --> 01:59:38.841 Why is he saying this to me and no one else ever? 01:59:43.851 --> 01:59:44.672 Right, right. 01:59:44.752 --> 01:59:55.037 It's this is blowing my mind because it didn't really The, the, the extent to which this this adds variables is really breathtaking actually 01:59:56.238 --> 02:00:04.260 It's been frustrating me because I've heard so many arguments online that, oh, it's just the spike protein that's identical to what's in the virus. 02:00:04.660 --> 02:00:05.560 No biggie, right? 02:00:05.620 --> 02:00:13.882 So you shouldn't, your symptoms, your adverse event profile should be a subset of what you get from the virus because we're giving you a subset of the virus. 02:00:14.002 --> 02:00:17.463 We're not giving you the full replicative competent virus. 02:00:18.663 --> 02:00:25.685 I don't think that theory should be accepted blindly because we're injecting these things in a more 02:00:26.144 --> 02:00:29.405 varied cell lines, we are rejecting them, I think, at a higher concentration. 02:00:29.445 --> 02:00:33.066 I mean, the way, how do you read those antibody studies, right? 02:00:33.086 --> 02:00:37.327 You see that they have higher antibody expression against spike, right? 02:00:37.888 --> 02:00:39.948 I don't read that as like a better immune response. 02:00:39.988 --> 02:00:41.849 I read that as you're expressing more spike. 02:00:42.229 --> 02:00:46.110 And so the antibodies are probably a proxy to the expression level of spike. 02:00:46.750 --> 02:00:47.550 And is that a good thing? 02:00:48.511 --> 02:00:52.892 Do you really need massive amounts of spike protein to build an immune response? 02:00:53.439 --> 02:00:56.160 because we have to be careful here, spike's the toxic peptide. 02:00:56.201 --> 02:00:59.963 So we're in this window like cancer treatment where we're trying to kill. 02:01:00.423 --> 02:01:02.764 Spike is the toxic peptide. 02:01:03.144 --> 02:01:11.469 It's exactly the illusion that they were sent in to say so that the effects of transfection would be confused with the spike. 02:01:13.052 --> 02:01:15.613 The spike is toxic, not the methodology. 02:01:15.933 --> 02:01:17.593 The methodology isn't stupid. 02:01:17.653 --> 02:01:18.974 The choice of the spike was. 02:01:19.034 --> 02:01:20.774 The choice to alter the spike was. 02:01:21.394 --> 02:01:25.175 The choice to put in impure RNA was the mistake. 02:01:25.235 --> 02:01:28.876 The choice to put in contaminated RNA was the mistake. 02:01:28.936 --> 02:01:30.697 Do you see it, ladies and gentlemen? 02:01:31.277 --> 02:01:32.317 Please tell me you do. 02:01:35.445 --> 02:01:51.829 And am I right in my understanding, though, that actually if you go with this idea that antibodies are neutralizing the spike and that's how you build immunity in their cartoon world, then aren't they only really concerned about antibodies that have some specificity for the receptor binding domain? 02:01:51.869 --> 02:01:55.130 This leaves an awful lot of useless epitopes in that. 02:01:55.874 --> 02:01:56.535 It does, yeah. 02:01:56.675 --> 02:02:06.684 And I don't know if you saw that recent paper that when they serially applied the same vaccination that the actual antibodies got more and more specific to the Wuhan type 1. 02:02:06.724 --> 02:02:10.207 So they're kind of making matters worse by boosting. 02:02:11.148 --> 02:02:15.512 At least they're making it worse so the patients are less tolerant to future variants by boosting. 02:02:16.266 --> 02:02:21.408 So here he is seeding the narrative that Luigi Warren would seed in my head as well. 02:02:22.308 --> 02:02:24.689 Maybe he had already seeded in my head by this time. 02:02:25.189 --> 02:02:32.352 Oh, no, of course, already a year into my head this time that Khertub VandenBosch was right that the virus could be manipulated, could be 02:02:33.052 --> 02:02:38.474 could be, the evolution of the virus could be influenced by the mass vaccination campaign. 02:02:38.994 --> 02:02:45.937 And because we were making very specific immunity to Wuhan 1, then we were for sure going to force the virus to change from Wuhan 1. 02:02:46.197 --> 02:02:47.278 That's where we are right now. 02:02:47.318 --> 02:02:48.378 Listen. 02:02:48.999 --> 02:02:53.520 So I'm, yeah, there's a host of problems with what they're, what they're doing on that front. 02:02:53.580 --> 02:02:59.883 But I, so I hope someone can prove me wrong and find more papers, anything related to 02:03:00.985 --> 02:03:02.866 what proteins actually get expressed. 02:03:03.026 --> 02:03:15.073 I would have thought that if we have 5 million SARS genomes in NCBI, and maybe there's 2 million NCBI, but there's 5 million in G-Set, right? 02:03:15.873 --> 02:03:20.736 How many sequence QCs do we have the loss on these vaccines? 02:03:20.756 --> 02:03:25.178 5 million sequences we already have of the virus by the end of 2021. 02:03:26.059 --> 02:03:26.759 Think about that. 02:03:27.780 --> 02:03:29.721 That's also just part of the enchantment. 02:03:32.133 --> 02:03:34.835 Wow, we have five million sequences already. 02:03:34.915 --> 02:03:36.616 That's a lot of viruses we've found. 02:03:37.016 --> 02:03:39.038 We've been tracking this thing for a long time. 02:03:39.098 --> 02:03:42.680 It's so overwhelming how much data there is to process. 02:03:44.421 --> 02:03:45.442 It actually hurts my eyes. 02:03:46.282 --> 02:03:48.964 I can find one, like from Andy Fire's lab. 02:03:49.385 --> 02:03:50.966 And they didn't even put out the raw reads. 02:03:51.006 --> 02:03:52.347 They put out the consensus sequence. 02:03:52.367 --> 02:03:56.009 So you can't really dig into some of this nuance and how many variations are actually in there. 02:03:57.098 --> 02:04:00.500 So you would think there would be sequence QC locked a lot in all these vaccines. 02:04:00.520 --> 02:04:08.883 You would also think that the evidence of when you transfect this into humans, what's the peptide that comes out with mass spec profiles in the peptides, like protein sequencing. 02:04:09.163 --> 02:04:10.484 Do you hear the enchantment there? 02:04:10.564 --> 02:04:14.706 When you transfect this into humans. 02:04:17.767 --> 02:04:18.548 Stop lying! 02:04:19.768 --> 02:04:21.629 Not when you transfect humans. 02:04:23.391 --> 02:04:29.472 Not when you transfect humans, but when you transfect this into humans. 02:04:31.093 --> 02:04:37.734 And so he is actually suggesting to me that it's not transfection, but it is what you transfect. 02:04:38.994 --> 02:04:40.034 And that is the lie. 02:04:40.274 --> 02:04:42.935 That is at the heart of my message. 02:04:43.615 --> 02:04:47.576 Transfection of healthy humans was criminal. 02:04:48.176 --> 02:04:50.076 Not transfection to a spike. 02:04:51.737 --> 02:04:52.437 Transfection. 02:04:57.169 --> 02:05:00.610 Why don't we know precisely what these are? 02:05:00.630 --> 02:05:03.711 The protein sequencing gives you some information about what's going on. 02:05:03.751 --> 02:05:05.392 It doesn't necessarily tell you how things fold. 02:05:05.632 --> 02:05:11.114 I mean, one of the challenges in codon optimization is you do change the rate of translation when you do this. 02:05:11.534 --> 02:05:16.555 And there's lots of papers out there showing that when you change the rate of translation, you can alter the folding. 02:05:17.576 --> 02:05:19.196 It's particularly true when you hit double prolines. 02:05:19.216 --> 02:05:21.877 And there are a lot of double prolines in the spike protein, right? 02:05:21.957 --> 02:05:25.238 So those things end up stalling translation 02:05:26.042 --> 02:05:29.305 and your code on usage really matters across those things. 02:05:29.465 --> 02:05:45.821 But don't you find it also so frustrating that there are so many people that seem to have as much sort of intimate sequence gene type data, not data, but knowledge and understanding as yourself, but then focus it all on 02:05:46.600 --> 02:06:09.208 on proving that the virus didn't come from a laboratory and look at the sequence of the virus and and wax intellectual about all of this stuff but not once turn their this same keen eye to the PCR tests to the to the vaccine or to the to the transfection and think the same with the same sharp edge i just don't get it i i think it's it's um 02:06:10.874 --> 02:06:21.721 I think it's a hierarchy of funding that drives all that, that you'll see whether it's funding from NIH, NIAID, or from Gates, that all of those actors never want to attack the narrative. 02:06:22.602 --> 02:06:30.346 And if you start raising the questions like, hey, we've injected a- And so what is he proposing here, that he's attacking the narrative? 02:06:32.268 --> 02:06:34.169 They don't attack the narrative, but I do. 02:06:35.700 --> 02:06:38.480 And that's the limited spectrum of debate getting reinforced. 02:06:38.580 --> 02:06:39.461 Oh, but he's a hero. 02:06:39.821 --> 02:06:40.941 Those guys aren't a hero. 02:06:41.221 --> 02:06:41.821 He's a hero. 02:06:41.881 --> 02:06:43.801 So if I support him, I'm also a hero. 02:06:44.201 --> 02:06:47.822 If I ask the questions that he's got me curious about, I'm also a hero. 02:06:50.783 --> 02:06:53.103 Both teams are playing against us. 02:06:53.123 --> 02:06:54.163 A billion people with this. 02:06:54.203 --> 02:06:56.243 Shouldn't we have more sequence data on the actual vaccine? 02:06:57.084 --> 02:07:03.805 Like, you know, like you guys are doing a great job sequencing all those viruses and putting in public, but when are you going to turn your attention to what you're injecting into people forcefully? 02:07:05.643 --> 02:07:07.184 they turn that into a conspiracy theory. 02:07:07.264 --> 02:07:08.785 They can't question it, they can't look at it. 02:07:08.845 --> 02:07:16.210 But if you were neutral and not in this and not funded, which I'm assuming both you and I are in that camp and a variety of other genomicists are in that camp. 02:07:16.431 --> 02:07:28.299 The guy who was caught up in the house scheme was Rainer Fulmer, Fuller, Fulmert of the Coronavirus Investigation Committee in Germany, not Kurt von den Bosch. 02:07:28.639 --> 02:07:32.101 We look at a signal, you should have an equal number of sequences on both sides of this fence. 02:07:32.202 --> 02:07:34.143 The virus is really important to see where it's going, 02:07:34.656 --> 02:07:41.821 If we don't have particularly when there's liability free mandated injections going on, and there's no QC, and when you ask for it, they mock you as an anti-vaxxer. 02:07:43.462 --> 02:07:44.503 There's something really wrong there. 02:07:45.203 --> 02:07:49.326 Yeah, I think that's a really nice way to put it too. 02:07:49.947 --> 02:07:54.250 Are you in regular contact with Michael Yeadon since this or not really at all? 02:07:55.354 --> 02:08:10.101 We were in a little bit more contact when we were doing the PCR stuff, but I haven't I've seen him on a couple I'm on so many Twitter threads and whatnot his name comes by he got I'm on so many Twitter threads and whatnot because it's his full-time job I thought he had a company. 02:08:10.161 --> 02:08:12.322 I thought his brothers were trying to cure cancer. 02:08:12.782 --> 02:08:13.503 What in the hell? 02:08:14.603 --> 02:08:20.366 How does this guy with a hundred million dollar house on the Atlantic Ocean have so much time to be on social media? 02:08:20.386 --> 02:08:21.967 Calling me chemtrail retarded 02:08:23.646 --> 02:08:24.446 Do you see it yet? 02:08:24.686 --> 02:08:25.667 Do you see it yet? 02:08:25.707 --> 02:08:27.567 This guy called me chemtrail retarded. 02:08:27.587 --> 02:08:30.728 I kicked off the Twitter. 02:08:30.748 --> 02:08:32.749 So I haven't seen as much of him since he's off of Twitter. 02:08:32.789 --> 02:08:36.090 But there's a couple other email threads that I'm on that he's there as well. 02:08:36.490 --> 02:08:39.691 But he did, he brought up some concern, I think over 02:08:40.506 --> 02:08:41.967 What was it, syncytia-1 or something? 02:08:42.067 --> 02:08:44.710 It was a short amino acid sequence that he got a little bit flamed for. 02:08:45.931 --> 02:08:49.494 But- He's still just out there every day trying to push it. 02:08:49.554 --> 02:08:52.516 I just didn't- Syncytin is what he got pushed for. 02:08:52.597 --> 02:08:58.121 And syncytin has some homology to the fusion protein or something like that. 02:08:58.141 --> 02:08:58.442 I don't know. 02:08:59.242 --> 02:09:06.629 No, I think him and Peter McCullough and yourself and everybody who brings some kind of real 02:09:08.194 --> 02:09:14.100 real life experience to this and isn't afraid to speak out about the incongruencies I think is part of the solution. 02:09:14.161 --> 02:09:22.450 And I don't know, I've been following you for a long time on Twitter now since I figured out that you were one of the guys on that original 02:09:23.143 --> 02:09:23.843 Jorsten thing. 02:09:24.083 --> 02:09:35.428 And, uh, you know, I only did PCR in my, I did single cell PCR and tried to prove the, that there were different nicotinic receptors in different neurons that we were pulling out of the brain. 02:09:36.069 --> 02:09:42.371 And so most of my methodology, what problems we're just trying to convince people that we could get enough material to actually get a read. 02:09:42.391 --> 02:09:50.115 Um, they were fine with the fact that there were nicotinic receptors there that wasn't proving some kind of ghost or anything, but no, 02:09:51.134 --> 02:09:54.298 You know from doing that how sensitive it is. 02:09:54.719 --> 02:10:00.285 And how easy it is for somebody to say you don't have enough controls to know that you're saying what you're saying. 02:10:00.325 --> 02:10:04.410 And so when this started, it was pretty mind-boggling to me that 02:10:05.350 --> 02:10:21.198 rather than starting with a small needle that I had just pulled out of a brain slice and I had just recorded from, so I knew what kind of cell I was pulling out, you could stick a swab up in my nose and make the same measurement that just seemed kind of impressive to me. 02:10:21.338 --> 02:10:21.678 I don't know. 02:10:22.358 --> 02:10:28.381 Yeah, I've not seen the LODs on this that get down to single DNA or something. 02:10:28.401 --> 02:10:29.042 LODs. 02:10:30.622 --> 02:10:31.563 LODs. 02:10:31.763 --> 02:10:33.924 Oh my gosh, he's going to try and get me with another one. 02:10:39.618 --> 02:10:43.400 But they get close. 02:10:43.440 --> 02:10:45.162 They get down to 100 copies usually. 02:10:45.202 --> 02:10:47.343 But the variance is sodium wide. 02:10:47.823 --> 02:10:48.343 Yeah, I see. 02:10:48.844 --> 02:10:54.827 You know, the LODs on this, they get down to single DNA or single copy levels, but they get close. 02:10:54.887 --> 02:10:59.790 They get down to 100 copies usually off those, sometimes 50 off of those nasal swabs. 02:10:59.810 --> 02:11:01.971 But the variance is sodium wide. 02:11:02.452 --> 02:11:02.972 Yeah, I see. 02:11:03.472 --> 02:11:05.333 You know, you get... No, I didn't. 02:11:05.414 --> 02:11:07.835 The CTs that were in the Datu paper were like, 02:11:08.764 --> 02:11:12.386 10 to 13 CTs from swab. 02:11:12.406 --> 02:11:18.008 I'm telling you, Kevin doesn't like talking to people that he's not sure he knows more than. 02:11:19.369 --> 02:11:24.351 He doesn't like talking to people who he's not sure what questions they're going to ask. 02:11:24.631 --> 02:11:26.052 That's who he doesn't like talking to. 02:11:26.392 --> 02:11:27.493 This was hard work for him. 02:11:27.933 --> 02:11:29.294 The swab on the internal control. 02:11:29.834 --> 02:11:33.275 And then you have everyone arguing over what the CT should be for the virus to cut. 02:11:33.295 --> 02:11:35.997 Well, if you don't normalize for how much you swab, you're never going to get that. 02:11:38.942 --> 02:11:41.063 I think my dog needs to go outside. 02:11:41.123 --> 02:11:41.583 Hold on. 02:11:41.603 --> 02:11:43.084 Be right back. 02:11:46.305 --> 02:11:47.146 He has a dog? 02:11:47.706 --> 02:11:49.047 I thought he had giant cats. 02:11:50.348 --> 02:11:51.068 That's weird. 02:11:52.249 --> 02:11:53.349 I didn't know he had a dog. 02:11:54.490 --> 02:11:55.871 I thought he just had giant cats. 02:11:57.271 --> 02:11:57.391 Wow. 02:11:58.732 --> 02:11:59.032 Wow. 02:11:59.733 --> 02:12:00.213 I just said wow. 02:12:06.547 --> 02:12:08.628 All right, he'll probably be back in a few minutes, so. 02:12:09.248 --> 02:12:09.968 No, no problem. 02:12:10.008 --> 02:12:14.070 I mean, I already really got a lot of what I wanted, and I'm really happy how quickly you got there. 02:12:14.130 --> 02:12:14.610 I am shocked. 02:12:14.630 --> 02:12:15.890 He has dogs? 02:12:16.410 --> 02:12:17.831 Did you know he has dogs? 02:12:17.851 --> 02:12:18.531 Man, oh man. 02:12:19.612 --> 02:12:25.414 I actually didn't, I actually didn't understand at all that, that pseudo-urine. 02:12:25.454 --> 02:12:26.394 Did you hear the dog? 02:12:26.454 --> 02:12:27.594 My dogs make noise. 02:12:28.475 --> 02:12:30.315 You can hear their paws on the floor. 02:12:30.655 --> 02:12:31.916 They bark sometimes. 02:12:34.337 --> 02:12:34.557 Hmm. 02:12:36.274 --> 02:12:39.917 Did he just say that he had a dog because he knows that I'm a dog person? 02:12:40.277 --> 02:12:42.459 Oh my goodness, I wonder what's going on here. 02:12:42.499 --> 02:12:43.900 He had less specificity. 02:12:43.960 --> 02:12:45.482 Is he going to go back to the dog? 02:12:45.502 --> 02:12:46.723 Yeah, I'll forward you. 02:12:46.763 --> 02:12:55.049 There's some links in that preprint on OSF about this that show the pseudouridines base pairing with other molecules. 02:12:55.390 --> 02:12:58.853 It also facilitates quadriplex G formation because of this. 02:12:59.593 --> 02:13:03.717 So there's a host of problems with it that are just getting swept under the rug. 02:13:03.757 --> 02:13:05.178 And every time you raise this with people, 02:13:05.598 --> 02:13:12.343 You do understand that although a dog isn't significant, if we were to actually find out that he doesn't have a dog, this would be incredible. 02:13:13.644 --> 02:13:15.325 As dumb as it is, it would be incredible. 02:13:16.065 --> 02:13:17.687 What a stupid thing to lie about. 02:13:18.147 --> 02:13:20.108 I mean, really stupid thing to lie about. 02:13:20.148 --> 02:13:20.909 We need to find out. 02:13:20.949 --> 02:13:22.610 He's gotta have it on social media. 02:13:22.630 --> 02:13:29.995 It can't just be that he takes pictures of his cats if he's also got a dog that sleeps with them or the cats beat the shit out of the dog. 02:13:30.315 --> 02:13:32.297 There's gotta be some picture of the dog. 02:13:36.243 --> 02:13:40.045 They're just like, you're never anti-vaxxer. 02:13:40.185 --> 02:13:43.307 If it's too complicated, you can't, please. 02:13:43.447 --> 02:13:53.952 But can you explain a little bit why if the RNA folds in a particular shape that you're explaining, and then that shape attracts proteins that cause senescence? 02:13:54.679 --> 02:13:56.721 Well, they attract proteins associated with it. 02:13:56.761 --> 02:13:58.902 I don't know if it actually causes that yet. 02:13:59.022 --> 02:14:11.652 It's just, there's keys in the literature that show when you form lots of quadruplex G formations in RNA, you radically alter the translation rate and you alter a lot of the other cell signaling that goes on. 02:14:11.732 --> 02:14:14.875 So quadruplex Gs are a different form of base pairing. 02:14:14.915 --> 02:14:18.678 Most base pairings- The other person who pushed quadruplex Gs 02:14:19.850 --> 02:14:29.578 was Stephanie Seneff, also in the Steve Kerr Steering Committee, also on the 2023 St. 02:14:29.618 --> 02:14:34.342 Patrick's Day stream organized by John Bodwin that's still available on Rumble. 02:14:35.943 --> 02:14:44.049 No one else talking about quadruplex Gs except for me and Seneff and him, and I talked about it because of them. 02:14:44.590 --> 02:14:46.031 That's it, nobody else. 02:14:47.769 --> 02:14:53.875 is called Watson-Crick base pairing, where you get that nice double helix that you get about 10 bases per turn. 02:14:54.676 --> 02:15:01.142 When you get really GC-rich areas... I'm checking, I'm checking the link right now, because I need to know. 02:15:02.283 --> 02:15:07.869 Twitter says... Dog, okay, I see the dog right there. 02:15:15.646 --> 02:15:16.626 Your dog is a midget. 02:15:16.806 --> 02:15:17.627 Okay, that's fine. 02:15:17.947 --> 02:15:18.327 I got it. 02:15:18.927 --> 02:15:20.047 He's got a dog, great. 02:15:21.408 --> 02:15:32.951 What can happen is it's almost like, imagine you're like those old phone coils you have that are perfectly helical, except once in a while they get inverted and they flip the other direction. 02:15:33.071 --> 02:15:33.711 Yes, yes. 02:15:34.111 --> 02:15:35.972 That's kind of like a quadruplex G in DNA. 02:15:37.032 --> 02:15:44.214 They have these capacities to form Hoogsteen base pairing when they're GC rich, and then the structure of them changes into what looks like a knot. 02:15:45.174 --> 02:15:56.661 and those knots are stall points for translation and they also attract a lot of other cell circuitry because they're signals that are regulatory in nature. 02:15:58.402 --> 02:16:05.907 So again, remember when you say that these chemical structures are regulatory in nature, we're talking about p-value studies in one paper. 02:16:06.727 --> 02:16:09.288 We're talking about in vitro studies in one assay. 02:16:09.948 --> 02:16:12.429 We're talking about p-values and two assays. 02:16:12.469 --> 02:16:18.431 We're not talking about understood, well-defined, high-fidelity facts about our biology. 02:16:19.091 --> 02:16:29.955 But by using the terms that define them and provoking ideas with those terms, it becomes an enchantment where essentially that's what's happening in my mind. 02:16:30.635 --> 02:16:40.163 concepts that I don't quite understand are now being used to fill in the blanks and underscore or edify the logic of the concept that he's throwing at me here. 02:16:42.125 --> 02:16:46.108 And at this time, I wasn't sophisticated enough to see through him, but now I am. 02:16:46.128 --> 02:16:47.009 And now you are. 02:16:47.029 --> 02:16:49.130 You see a lot of these quadriplex Gs in promoters. 02:16:49.171 --> 02:16:50.992 You see a lot of them inside of telomeres. 02:16:51.132 --> 02:16:56.557 So there are signatures to the cell that are involved in interferon response. 02:16:57.632 --> 02:17:00.794 Um, so telomeres are involved in interferon response. 02:17:00.834 --> 02:17:13.844 You see how imprecise it is when you start making, uh, when you, when you code on optimize the viruses, RNA into the human version of this, where the, the most of the Asian, how many times have we said code on optimize in this thing? 02:17:13.904 --> 02:17:17.367 How many times would I say code on optimized after this stream? 02:17:18.647 --> 02:17:19.268 Lots of times. 02:17:20.979 --> 02:17:24.302 asking the wrong questions about transfection. 02:17:24.382 --> 02:17:25.944 Should we have codon optimized it? 02:17:26.144 --> 02:17:27.265 Why would we have done that? 02:17:27.325 --> 02:17:28.326 That will make it worse. 02:17:32.774 --> 02:17:37.258 T's in the third base of the codon get swapped out for G's or C's. 02:17:37.738 --> 02:17:41.001 When you do that, your GC content goes up substantially. 02:17:41.021 --> 02:17:45.804 And when your GC content shifts that much, you get quadruplex G formation all over the RNAs. 02:17:46.505 --> 02:17:49.968 That's something that's not as native to the virus. 02:17:50.068 --> 02:17:53.610 Actually, if you look at the quadruplex G structures in SARS, they're highly conserved. 02:17:53.670 --> 02:17:57.774 There's a paper out there showing they're conserved across 16,000 of the genomes they looked at. 02:17:58.434 --> 02:18:04.418 So the virus really only has these in key places for purposeful regulatory reasons. 02:18:05.118 --> 02:18:08.881 And then they make a version of spike protein that then litters them with a shitload more of them. 02:18:10.952 --> 02:18:23.298 Think about how significant these things should be on the list of reasons why the highly intelligent and extremely expert Kevin McKernan objects to these technologies. 02:18:23.518 --> 02:18:36.483 And yet somehow or another, he's been in front of the Senate and actually hasn't said that these technologies in general are such a multi-layered bouquet of bullshit that it's hard for me to summarize it in an hour. 02:18:37.944 --> 02:18:42.408 He says that double-stranded DNA and SV40 is what we need to be worried about in 2024. 02:18:43.649 --> 02:18:44.009 Almost 2025. 02:18:44.209 --> 02:18:52.556 None of these objections form the basis for the biology that he's now pushing. 02:18:52.596 --> 02:18:52.956 None of them. 02:18:54.517 --> 02:18:55.558 None of them! 02:18:58.820 --> 02:19:00.422 So what is he teaching our kids? 02:19:01.222 --> 02:19:04.205 What is he teaching our kids on the Danny Jones podcast? 02:19:05.105 --> 02:19:05.806 Stop lying! 02:19:06.466 --> 02:19:06.787 Nothing. 02:19:07.585 --> 02:19:08.526 He's lying to them. 02:19:09.867 --> 02:19:17.193 I think in the, I've got to dig up the exact paper, but they tripled in one of the vaccines and went up almost sort of magnitude in another one. 02:19:17.233 --> 02:19:19.796 I mean, it went up to like, I think 16 or 19 in one gather. 02:19:19.816 --> 02:19:29.264 So they've literally, I spent about a week trying to figure out if I could quantify or find a place that had quantified the difference in the vaccine number of quadruplex G's. 02:19:29.304 --> 02:19:35.349 And then I found a paper by Stephanie Seneff, not about the vaccines, but about the quadruplex G's. 02:19:35.819 --> 02:19:38.820 littered the RNA with these quadriplex Gs. 02:19:38.860 --> 02:19:40.520 They probably didn't notice this. 02:19:40.901 --> 02:19:48.583 I would argue they just did, if it was warp speed, they just put it through a codon optimization tool, because that's what you do to maximize expression, and they moved on. 02:19:50.363 --> 02:19:54.065 And so they're probably not aware that, oh, we put in all these secondary structures. 02:19:54.105 --> 02:20:03.487 Just like Annie DeGroat from EpiVax said on the video that Houston Tonic recently uploaded, we just used Word. 02:20:03.747 --> 02:20:05.168 We just used Microsoft Word. 02:20:05.808 --> 02:20:09.510 and did the did the search and replace the RNA. 02:20:09.550 --> 02:20:17.534 That's going to change the RNA's recognition by a lot of the toll receptors and by a lot of the viral defense mechanisms that they have. 02:20:17.574 --> 02:20:22.197 A lot of these viral defense mechanisms actually key off of the secondary structure of the RNA to cut it. 02:20:23.318 --> 02:20:29.501 It's interesting that the picture that's that he actually sent me, I just got to click on that again to show you what just dawned on me. 02:20:30.842 --> 02:20:35.845 is that the picture that you sent me is actually dog versus cat. 02:20:36.045 --> 02:20:40.928 And then here is a cat and a dog inside of a weight room. 02:20:43.790 --> 02:20:50.794 So does that mean he has a weight room in his house with a dancing bar and a mirror? 02:20:50.814 --> 02:20:55.156 I mean, because the cats are there, the dog is there, that's gotta be his house, right? 02:20:55.776 --> 02:20:59.879 Oh wait, sorry, I thought I had it up here already, my bad. 02:21:00.691 --> 02:21:02.332 Here, check this out. 02:21:02.892 --> 02:21:06.695 So this is the tweet that Soothspider dropped in. 02:21:07.335 --> 02:21:12.218 And then here we see the cat is lifting some iron to deal with the dog over here. 02:21:12.258 --> 02:21:21.483 But that means that in his Krispy Kreme house, there actually is a workout room with a ballet bar. 02:21:22.144 --> 02:21:24.025 And that's nice. 02:21:24.085 --> 02:21:26.306 I mean, it doesn't have to be his house, but it's kind of funny. 02:21:26.866 --> 02:21:27.807 Anyway, let's go back to this. 02:21:28.087 --> 02:21:29.128 Let's finish this up quick. 02:21:30.488 --> 02:21:35.714 And that's changed now with the pseudouridine implementation and the codon optimization. 02:21:35.754 --> 02:21:44.404 So I think that's why we're seeing a lot of these papers emerge that suggest these mRNAs reprogram the innate immune system. 02:21:45.713 --> 02:21:50.555 because these things go in and the toll receptors are confused by them. 02:21:50.955 --> 02:21:59.239 And we don't know how long they remain confused, but there seems to be at least a week period of either, you know, lymphocytopenia or neutropenia that's occurring. 02:21:59.299 --> 02:22:05.322 And there's also some alterations in the ratios of CD4 positive and CD8 positive cells, right? 02:22:05.342 --> 02:22:05.942 Those seem to be confusing. 02:22:05.962 --> 02:22:07.783 And toll receptors are in all cells, right? 02:22:08.635 --> 02:22:10.896 Toe receptors, they are immune. 02:22:12.457 --> 02:22:14.939 I don't want to say they're in all cells, because I don't know, actually. 02:22:15.019 --> 02:22:16.680 But they're in the gut a lot. 02:22:17.380 --> 02:22:24.064 And they're in a lot of cells that are, I think, on the epithelium layer to look for pathogens, basically. 02:22:24.424 --> 02:22:24.624 OK. 02:22:25.264 --> 02:22:26.045 They're in all cells. 02:22:29.099 --> 02:22:41.912 Yeah, I don't know how they exist in the brain, but I know that they're heavily involved in leaky gut syndrome and monitoring what types of pathogens and the microbiome that you've got in your gut. 02:22:43.034 --> 02:22:46.898 But how do they, if they're toll receptors, how do they interact with RNA that's inside? 02:22:48.433 --> 02:22:52.735 So I think it's total receptor three that looks for single-stranded RNA. 02:22:53.275 --> 02:22:53.736 Oh, I see. 02:22:53.836 --> 02:22:54.076 Okay. 02:22:54.136 --> 02:22:54.376 Okay. 02:22:54.416 --> 02:22:54.676 Okay. 02:22:55.096 --> 02:22:55.356 Yeah. 02:22:55.456 --> 02:22:58.678 And if that RNA has pseudourdine in it, I think it's, I think it doesn't see it. 02:23:00.199 --> 02:23:00.719 The, uh, 02:23:02.685 --> 02:23:12.651 Double-stranded RNA is another issue, which something Andy Fire's group did, is they tried to measure the single-stranded versus double-stranded ratio of the RNA in the vaccines they did sequence. 02:23:12.671 --> 02:23:17.535 And they found a very, very low frequency of the double-stranded RNA, because the double-stranded RNA tends to trigger more of this. 02:23:18.695 --> 02:23:20.056 Double-stranded RNA. 02:23:20.116 --> 02:23:26.600 So they looked for double-stranded RNA, but they didn't find the double-stranded DNA that he's now telling everybody in the world they found. 02:23:27.361 --> 02:23:28.802 That's very significant. 02:23:30.356 --> 02:23:42.508 He's talking about a paper that looked at single-stranded versus double-stranded RNA in the transfection products and didn't find any double-stranded DNA that he now says he can find even in tumors. 02:23:45.091 --> 02:23:46.592 He can find it in tumors. 02:23:52.618 --> 02:23:53.099 In response. 02:23:56.457 --> 02:24:07.086 But the real reason that they told us on PBS NewsHour that they did all this pseudouridine was to avoid the degradation. 02:24:07.386 --> 02:24:11.190 Only the degradation, I thought it was also the activation of the immune response. 02:24:11.890 --> 02:24:13.572 Yes, it's both. 02:24:14.092 --> 02:24:18.636 So, they have a vaccine that they designed to avoid activating the immune response. 02:24:20.370 --> 02:24:27.435 Because if the immune response gets activated by the mRNA and not by this toxic spike protein, then we'll have a different problem. 02:24:27.455 --> 02:24:30.278 You see how much layered bullshit there is. 02:24:30.318 --> 02:24:34.180 And if you start asking the right questions, it's very hard to maintain the layers. 02:24:35.181 --> 02:24:37.143 That's why he doesn't like this conversation. 02:24:38.439 --> 02:24:45.810 The question people are starting to raise is, okay, you evaded the immune response, but did you turn it off for a period of time? 02:24:46.431 --> 02:24:46.811 I see. 02:24:47.092 --> 02:24:48.975 Like, can you see other viruses now? 02:24:50.156 --> 02:24:53.822 We certainly see reactivation of other viruses post vaccination. 02:24:53.942 --> 02:24:55.903 Right, see, I see what you mean. 02:24:56.943 --> 02:24:59.725 And post vaccination post vaccination. 02:24:59.765 --> 02:25:01.386 Why not say post transfection? 02:25:01.446 --> 02:25:02.466 Because it's not. 02:25:02.886 --> 02:25:08.109 He wants me to think that they are transfecting a protein and the protein is causing the problem. 02:25:08.149 --> 02:25:10.030 So calling it a vaccination is fine. 02:25:12.523 --> 02:25:18.325 And of course, this gets even more complicated when you start considering breakthrough infections, because now you've got both to consider. 02:25:18.345 --> 02:25:23.767 You've got to consider the biology of this modified RNA and how... Are there breakthrough infections? 02:25:24.227 --> 02:25:27.268 Are breakthrough infections something we also have to understand? 02:25:27.628 --> 02:25:32.450 And they have a different biology because they've been vaccinated to the spike protein? 02:25:32.870 --> 02:25:34.391 Wow, tell me more, Kevin. 02:25:34.411 --> 02:25:39.172 They're going to interact with the virus, which has other genes like NSP13. 02:25:39.192 --> 02:25:41.293 We know that one interacts with these quadruplex Gs. 02:25:41.786 --> 02:26:06.213 But how are we going to differentiate between the, I guess that's what clinical trials should have done, but how can we differentiate in your mind between the effect of the never-before-tested complete pseudouridine of all the U's in an RNA versus the effect of the toxicity of the protein itself? 02:26:06.233 --> 02:26:08.574 Because assuming that that's also there. 02:26:09.810 --> 02:26:11.771 Yeah, I don't know the answer to that. 02:26:11.971 --> 02:26:19.115 I think they need to do more in vitro translation and peptide sequencing to prove, like, what is this thing actually making? 02:26:19.515 --> 02:26:27.259 Never mind the toxicity of the new improved nanoparticles that Peter Cullis has made more amazing than Robert Malone could have ever imagined, right? 02:26:28.059 --> 02:26:34.663 I mean, we're really... We're really very, very... 02:26:38.433 --> 02:26:42.176 We're really, really very, very far from reaching the exit with the help of this guy. 02:26:42.216 --> 02:26:45.458 You may not have to do that in human, you could do that in human cell lines first. 02:26:45.498 --> 02:26:49.381 That'd be a good step forward to see, okay, what do you, what does this produce in human cell lines? 02:26:50.042 --> 02:26:53.224 Ideally you do it, you could capture the stuff in patients as well. 02:26:53.384 --> 02:27:01.190 If they're catching exosomes circulating in the human bloodstream with that Bancel paper, we should be able to capture those and sequence them. 02:27:02.199 --> 02:27:10.301 But there were whole labs around the world that were sequencing the exosomes in the bloodstream of healthy people too before the pandemic. 02:27:10.961 --> 02:27:14.141 Whole labs that were doing exosomes inside of healthy people. 02:27:14.682 --> 02:27:18.922 It's so weird now how exosomes in this story have only to do with transfection. 02:27:19.363 --> 02:27:31.065 It's almost as if they know that when they use synthetic DNA or RNA to transfect to sell, one of the first things they do is try to get rid of that extra shit by producing exosomes and excreting it because they already do that. 02:27:34.229 --> 02:27:34.850 Isn't it funny? 02:27:35.390 --> 02:27:37.192 Isn't it funny how you can see right through it now? 02:27:38.113 --> 02:27:41.577 Well, I've seen sequences of them, or at least have high fidelity. 02:27:42.518 --> 02:27:48.704 I don't know enough about crystallization, whether you can capture enough of that method to actually get structure information out of it. 02:27:49.245 --> 02:27:52.408 That's probably a question for someone who's more in the structure space than I am. 02:27:53.149 --> 02:27:54.290 You got to have purity. 02:27:55.191 --> 02:28:15.810 sir, in order, I was going to say something worse, you got to have purity in order to do a crystallization and or you got to have an AI computer program that can do a virtual x-ray crystallography model like Robert Malone used to run the domain program in 2020 and select for silicoxib, ivermectin, famotidine, and remdesivir. 02:28:22.066 --> 02:28:25.229 Um, but that's definitely sequence the protein. 02:28:25.249 --> 02:28:27.772 You could definitely sequence the protein if you could purify it. 02:28:28.160 --> 02:28:32.961 I think you could from the quantities, if you can see a band on a gel, they should be able to get that out in sequence. 02:28:32.981 --> 02:28:40.123 So the question is, will the mass spec systems that fragment these things be able to see, you know, heteroplasmic translation, right? 02:28:40.163 --> 02:28:42.524 This translation where there's a small percentage. 02:28:42.624 --> 02:28:48.725 But he just told us that there's an experiment where they did it with a single pseudouridine and they could see the mistranslation. 02:28:48.805 --> 02:28:52.106 So wait, either they can do it or they can't, right, Kevin? 02:28:53.866 --> 02:28:56.127 I'm sorry that I was so inept back then. 02:28:57.324 --> 02:29:20.311 I am so sorry to all the people that have suffered from transfection, that I was so inept back then, that I fell victim to these people, that I couldn't see through their lies in 2021, so that I couldn't save my friend Nathan, I couldn't save my friend Annie, I couldn't save my sister-in-law Femke, because I didn't understand. 02:29:21.811 --> 02:29:25.352 And I couldn't say it succinctly enough so that other people could understand. 02:29:27.952 --> 02:29:30.353 And I'm going to be apologizing for it for the rest of my life. 02:29:30.413 --> 02:29:35.216 I'm going to be working to atone for this mistake for the rest of my life, I assure you. 02:29:37.778 --> 02:29:42.901 Of the protein mistranslated, or is that going to be harder for them to pick up? 02:29:43.301 --> 02:29:44.882 That's a question for a mass spec expert. 02:29:45.082 --> 02:29:47.683 I haven't done a lot of mass spec or protein sequencing. 02:29:48.264 --> 02:29:53.407 And what you see in the three-dimensional structure, would it lead you to believe that there are going to be 02:29:54.247 --> 02:29:57.248 like signature error points or could you predict? 02:29:57.608 --> 02:30:13.433 I think so, I think you would probably see some of the consistent regions where they're fragmented or very very hard questions coming now that are not convenient for him to answer but he's answering them or where the translation stalls and you'll get spike fragments. 02:30:14.533 --> 02:30:17.175 Now, maybe some of those don't float around the exosomes because of that. 02:30:17.195 --> 02:30:17.575 I don't know. 02:30:17.695 --> 02:30:26.920 But you may be able to pick up partially folded spikes that would give you some understanding of, OK, we don't have one drug getting produced off of this prodrug. 02:30:26.960 --> 02:30:29.021 We have a library getting produced off this prodrug. 02:30:29.041 --> 02:30:33.344 And we have to consider that in the adverse response data that we're looking at. 02:30:36.246 --> 02:30:37.426 And so what's your plan now? 02:30:37.446 --> 02:30:38.707 You're not going to get into this at all? 02:30:38.727 --> 02:30:42.069 You're just going to stick with your botanicals? 02:30:42.754 --> 02:30:51.523 Yeah, I mean, I do this kind of as a hobby on the side because I'm as frustrated with everything going on in COVID as I can, but I don't have a lab that can work on this problem. 02:30:51.543 --> 02:30:55.647 And our company is all focused on making really good. 02:30:55.767 --> 02:31:00.011 So he's just going to fight the problem on Twitter because that's where the truth is. 02:31:00.292 --> 02:31:02.294 So he's just going to fight the problem where he can. 02:31:03.365 --> 02:31:08.269 genomic tools for other industries, but I'm not vested in the COVID industry. 02:31:08.329 --> 02:31:16.756 So people have always told me, you know, speak out if you can, because you're not, I don't get PCR revenue of COVID, you know, goes up or down. 02:31:16.776 --> 02:31:21.960 I don't have any, I don't have any vested interest in vaccines or anything. 02:31:22.000 --> 02:31:24.042 So I can view this from a more neutral perspective. 02:31:24.102 --> 02:31:28.286 No, my family is just tied into these people for generations already, that's all. 02:31:29.146 --> 02:31:32.610 But no, I'm doing this mostly because my kids are affected by all this. 02:31:32.630 --> 02:31:33.350 It's been two years. 02:31:33.370 --> 02:31:34.632 Their school's been totally blown up. 02:31:34.692 --> 02:31:36.954 My my eldest son never graduated from high school. 02:31:36.994 --> 02:31:38.435 I mean, he technically graduated. 02:31:38.756 --> 02:31:41.098 That's the first time I remember him talking about kids. 02:31:41.138 --> 02:31:42.900 That's is interesting, cool. 02:31:43.973 --> 02:31:44.853 but we never saw him. 02:31:45.393 --> 02:31:46.634 He never had that experience. 02:31:47.174 --> 02:31:50.315 You know, all of these things in their life have just been turned upside down. 02:31:50.335 --> 02:31:57.256 They're having to wear masks into campus at universities the same week they'll have a 60,000 person football stadium. 02:31:57.416 --> 02:31:59.597 See, so he's not, he didn't keep his kids home. 02:31:59.657 --> 02:32:02.897 He wasn't smart enough or didn't have the principles to keep his kids home. 02:32:03.238 --> 02:32:04.718 He didn't protect his kids from this. 02:32:04.778 --> 02:32:06.358 And so essentially you can see it. 02:32:07.299 --> 02:32:08.699 He sold out like the rest of them. 02:32:08.739 --> 02:32:10.819 We don't know, but it sure sounds like he sold out. 02:32:10.839 --> 02:32:13.380 He didn't have the foresight to say, don't go to school this year. 02:32:15.106 --> 02:32:21.408 Even though that's what I was saying in 2020, that's what I was trying to tell Piper Stover to do with her daughters, but she didn't do it. 02:32:23.889 --> 02:32:38.413 She just delayed the publishing of my review until May so that the timing of the emergence of Robert Malone and Brett Weinstein and all these people would only be a short month afterward and it wouldn't matter at all because we wouldn't publish it anywhere anyway. 02:32:45.356 --> 02:32:49.341 and filled with people without masks, and they all go out and then go to their classes in masks. 02:32:49.801 --> 02:32:57.871 It's making them grow up very distrusting of authority, which is probably a good thing, but it's also making them distrustful in public health. 02:32:58.131 --> 02:33:03.758 I mean, the generation above them is just an oppressor. 02:33:05.507 --> 02:33:07.688 In their opinion, they see this. 02:33:07.708 --> 02:33:09.149 There's hypocrisy everywhere. 02:33:09.409 --> 02:33:11.150 They're forcing the kids to do all the stuff. 02:33:11.230 --> 02:33:14.011 They know the kids are already- But you're doing it too. 02:33:14.051 --> 02:33:15.932 You forced your kids to do all the stuff. 02:33:15.972 --> 02:33:17.393 You didn't tell them to not do it. 02:33:17.433 --> 02:33:22.275 You didn't tell them that noncompliance was the way that sovereign individuals would react to this. 02:33:23.355 --> 02:33:26.357 You didn't teach your kids how to resist at all. 02:33:27.377 --> 02:33:29.498 You went as limp as Jordan Peterson. 02:33:29.538 --> 02:33:31.159 I'm as lost as the rest of you. 02:33:32.611 --> 02:33:40.798 But you're a Human Genome Project guy who knew that this was a lie from the beginning, knew it was exaggeration from the beginning, but you let your kids go back to college? 02:33:42.020 --> 02:33:51.108 That's as stupid as Robert Malone saying that he took Peter Cullis' word for it that they had improved a technology that he already knew 10 years ago was shit for healthy people. 02:33:54.403 --> 02:34:07.758 It's as ridiculous as Alex Jones insisting that he talked to the parents of Soph, and that they're great patriots, and that Soph is responsible for more than 90% of the stuff that she makes. 02:34:12.441 --> 02:34:21.446 It's as ridiculous as any of the other insistence that these people have made, that they're right and that they don't have conflicts of interest or they just mean well, or I just do this as a hobby. 02:34:22.167 --> 02:34:34.094 I don't have a lab that can do this stuff, but you just told a year ago, a year ago on the Vance Crowe podcast, you told him that you were actually doing PCR tests on pot for SARS. 02:34:37.299 --> 02:34:42.904 half immune because of the rate of this virus in the population, and they're still running after them with needles. 02:34:45.826 --> 02:34:49.890 What does that tell you about the generational exchange that's going on here? 02:34:49.910 --> 02:34:57.576 It's an extraction process and probably a wealth transfer problem as well, which is going on with all this inflation we're seeing as a result of this. 02:34:57.756 --> 02:35:04.302 Just careful little seeds of truth that make it sound like they were all fighting for the same shit, but he's on their team. 02:35:05.919 --> 02:35:15.344 his kids already have a seat, or they're being guaranteed a seat by his successful performance over the next five years or ten years or whatever they're going to do with him. 02:35:20.607 --> 02:35:22.088 I can't stop, ladies and gentlemen. 02:35:22.128 --> 02:35:25.369 I'm not going to stop because these people interfered with my life for years. 02:35:26.590 --> 02:35:30.132 And that means they interfered with the life of my wife and the life of my children. 02:35:30.172 --> 02:35:33.654 And that's what more of a direct insult 02:35:34.588 --> 02:35:38.170 Does a man have to have to justify his response? 02:35:47.737 --> 02:35:54.461 So yeah, there's a lot of global issues that will probably will have an impact on our business if we don't speak out. 02:35:54.661 --> 02:35:57.383 And so there's, I guess there's some personal interest there. 02:35:59.684 --> 02:36:00.585 Yeah, I don't know. 02:36:00.705 --> 02:36:02.748 I'm just really happy we finally got to talk. 02:36:03.209 --> 02:36:05.051 I'm so happy you waited. 02:36:05.071 --> 02:36:07.253 I can't say thank you enough. 02:36:08.175 --> 02:36:10.297 Oh no, thank you for the work you guys did at Drastic. 02:36:10.317 --> 02:36:13.581 I mean, that was a really hot topic that I was afraid to touch too early on. 02:36:14.402 --> 02:36:18.247 Thank you for the work you guys did at Drastic. 02:36:29.417 --> 02:36:52.921 Well, if you had any doubt, if you had any doubt that I was being played right here, understand what I told you before this video, that only one month after this video in January, fricking Rixey would show up and ask me to join drastic again and get behind the idea that the diffuse proposal was definitive proof of a lab leak. 02:36:56.582 --> 02:36:58.102 Do you see it? 02:37:00.097 --> 02:37:01.738 I was played like a fiddle. 02:37:05.201 --> 02:37:14.589 That took a serious amount of, you guys took an extraction process and probably a wealth transfer problem as well, which is going on with all this inflation we're seeing as a result of this. 02:37:14.629 --> 02:37:21.335 So yeah, there's a lot of global issues that will probably will have an impact on our business if we don't speak out. 02:37:21.555 --> 02:37:24.257 And so there's, I guess there's some personal interest there. 02:37:25.578 --> 02:37:25.738 Yep. 02:37:26.558 --> 02:37:27.459 Yeah, I don't know. 02:37:27.579 --> 02:37:29.619 I'm just really happy we finally got to talk. 02:37:29.759 --> 02:37:31.920 I'm so happy you waited. 02:37:33.020 --> 02:37:34.141 I can't say thank you enough. 02:37:35.061 --> 02:37:35.281 Oh, no. 02:37:35.361 --> 02:37:37.162 Thank you for the work you guys did at Drastic. 02:37:37.202 --> 02:37:40.403 I mean, that was a really hot topic that I was afraid to touch too early on. 02:37:41.423 --> 02:37:46.448 It just, that took a serious amount of, you guys took a lot of risk on that. 02:37:46.569 --> 02:38:01.103 And I think a lot of people appreciate the work that you guys did there because I can remember those days, everyone was afraid that, you know, well, what if we speak out about this and they take this and turn it into weapons of mass destruction and go attack at China, you know, like this, you don't want to be the guy that could trigger that. 02:38:01.163 --> 02:38:02.405 And you guys did not trigger that. 02:38:02.445 --> 02:38:03.125 I'm not saying you did. 02:38:03.686 --> 02:38:05.287 In fact, I think it's quite the opposite. 02:38:05.407 --> 02:38:11.751 We were going to trigger them using the biology of viruses against China in a world virus war? 02:38:12.331 --> 02:38:19.136 Did he just suggest that that was what we were afraid we would trigger, but we luckily, because we did it well, we didn't trigger that? 02:38:19.396 --> 02:38:19.756 Opposite. 02:38:19.796 --> 02:38:21.457 If anything, it's been neutralized in that. 02:38:21.777 --> 02:38:23.378 It's pretty clear. 02:38:24.219 --> 02:38:28.222 You guys took a lot of risk on that, and I think a lot of people appreciate the work that you guys did there. 02:38:29.622 --> 02:38:37.447 I can remember those days, everyone was afraid that, you know, well, what if we speak out about this and they take this and turn it into weapons of mass destruction and go attack China, you know? 02:38:38.568 --> 02:38:39.728 Nobody was afraid of that. 02:38:42.270 --> 02:38:43.651 Nobody was afraid of that. 02:38:45.792 --> 02:38:46.632 It's hilarious. 02:38:47.233 --> 02:38:48.173 It's fantastic. 02:38:48.373 --> 02:38:51.575 It is the worst case scenario being seeded in my head again. 02:38:53.617 --> 02:38:55.418 The only one who said that was Kevin McCarron. 02:38:56.331 --> 02:38:58.272 was probably on the same team like this. 02:38:58.652 --> 02:39:00.572 You don't want to be the guy that could trigger that. 02:39:00.612 --> 02:39:01.852 And you guys did not trigger that. 02:39:01.892 --> 02:39:02.613 I'm not saying you did. 02:39:03.153 --> 02:39:04.953 In fact, I think it's quite the opposite. 02:39:04.973 --> 02:39:09.294 If anything, it's been neutralized in that it's pretty clear the funding comes back to us. 02:39:09.554 --> 02:39:13.115 So there's there's equal blame to go around between nation states here. 02:39:13.175 --> 02:39:15.256 We shouldn't be encouraging the nation states to 02:39:15.996 --> 02:39:17.157 get jingoistic here. 02:39:18.177 --> 02:39:19.718 We got to clean up our own house here. 02:39:19.758 --> 02:39:21.799 We got too many labs that are leaking these things. 02:39:22.119 --> 02:39:33.484 And the virologists that are on this, who are funded to continue this work, are on a campaign trail to annihilate any lab leak stories, because they know that means they're going to get regulated like the nuclear industry. 02:39:34.205 --> 02:39:36.646 And frankly, the way they're behaving, they almost should be. 02:39:36.686 --> 02:39:37.406 I hate to say that. 02:39:37.526 --> 02:39:40.808 They wouldn't want to regulate them like the nuclear industry, would you, Mark? 02:39:45.760 --> 02:39:47.801 Yeah, you should say that. 02:39:47.941 --> 02:39:49.122 I would say that, definitely. 02:39:49.542 --> 02:39:53.865 Yeah, they're out of control and arrogant, and they're seeing leaks left and right. 02:39:53.885 --> 02:39:55.786 I don't know if you saw the paper from the Venter Institute. 02:39:55.926 --> 02:40:00.368 Actually, it was from Beijing accusing the Venter Institution of leaking SARS-CoV-1 in 2007-2012, right? 02:40:02.550 --> 02:40:06.593 I mean, that can happen at their lab, and they've done excellent work throughout time. 02:40:06.673 --> 02:40:16.621 It can happen anywhere, and we need to up the bio-level safety levels, the oversight there when you're handling respiratory viruses that can have this type of global pandemic. 02:40:17.802 --> 02:40:19.483 I think it's just too loose right now. 02:40:19.644 --> 02:40:22.146 And you're not going to hear it from the mouthpieces on TV. 02:40:22.206 --> 02:40:26.549 They're going to pull in the people who benefit from this stuff, and they're going to tell you everything's fine. 02:40:26.589 --> 02:40:28.210 It came from penguins. 02:40:29.391 --> 02:40:34.356 And they, unfortunately, because they have the funding, they have the microphone right now. 02:40:34.456 --> 02:40:38.419 But hopefully, the tide is turning with all the outreach that you guys are doing on this. 02:40:39.340 --> 02:40:40.260 Yeah, I hope so, too. 02:40:40.421 --> 02:40:41.802 I mean, it's also just. 02:40:43.263 --> 02:40:44.944 Drastic is doing a lot of outreach. 02:40:46.666 --> 02:40:52.731 To me, as being a 50-year-old adult in America, I was gone in the EU for like 15 years. 02:40:52.751 --> 02:40:56.794 And when I came back, I couldn't believe that I felt like I had 02:40:57.475 --> 02:41:00.056 changed parties with just by leaving America. 02:41:00.936 --> 02:41:03.637 And I just want my old America back. 02:41:03.697 --> 02:41:10.840 I just want some semblance of honesty on television and I want some semblance of honesty with my kids. 02:41:10.920 --> 02:41:18.923 I want everybody to kind of, you know, take responsibility for what they need to take responsibility for and start building community again. 02:41:18.963 --> 02:41:19.803 I don't understand 02:41:20.947 --> 02:41:27.371 how we got this fragmented, but it is frightening right now because I don't think we can take too many more years of it. 02:41:28.692 --> 02:41:29.973 And yeah, I don't know. 02:41:31.014 --> 02:41:31.774 It's very divisive. 02:41:31.814 --> 02:41:34.096 They are trying to segregate and separate people. 02:41:34.956 --> 02:41:37.758 And that is very crushing, I think, the human spirit. 02:41:37.778 --> 02:41:39.439 But it's also crushing, I think, to any 02:41:41.000 --> 02:41:42.502 Escalation of dissonance, you're right. 02:41:42.522 --> 02:41:54.092 It's it's it's harder and harder for people to get together that have Experience here share these things with a loud enough voice where they aren't getting censored by the whole system I think that's that's that's part of the plan. 02:41:54.112 --> 02:41:55.734 So there is something here that's planned. 02:41:55.774 --> 02:41:59.698 I don't know who or what but There's just too many moves. 02:41:59.738 --> 02:42:02.360 They've made that you can't explain to ignorance, right? 02:42:02.600 --> 02:42:05.022 Absolutely, and you can't in and also the 02:42:07.066 --> 02:42:17.173 Wolfgang Wodach said it once to me in a Zoom call, that he said, I've never seen foreign policy across more than 10 countries be so on rails in my life. 02:42:17.874 --> 02:42:18.094 Right. 02:42:18.654 --> 02:42:19.575 I mean, it's on rails. 02:42:19.695 --> 02:42:21.196 And that's how he described it. 02:42:21.316 --> 02:42:21.556 It is. 02:42:22.377 --> 02:42:25.659 And it has not left the tracks yet, not since we left the station. 02:42:25.859 --> 02:42:26.980 And that's pretty frightening. 02:42:27.781 --> 02:42:27.981 Yeah. 02:42:28.761 --> 02:42:30.983 Yeah, we used to have some assurances that there was. 02:42:31.103 --> 02:42:36.267 So Kevin McKernan's dad used to work for a company by the name of Canberra Industries. 02:42:37.962 --> 02:42:40.124 And they, what do they do? 02:42:41.965 --> 02:42:56.236 They, um, a city firm, instead of using its own traveling salesman, uh, South sales Canberra produces radiation detection and analysis equipment used in medical research, environmental studies, and the nuclear industry. 02:42:56.437 --> 02:42:56.777 And they're. 02:42:57.580 --> 02:43:02.645 their president, vice president of marketing and sales was Richard McKernan. 02:43:02.685 --> 02:43:13.455 And that's before Kevin's dad went into microarrays, which are again, a foundational technology for the human genome project. 02:43:13.495 --> 02:43:21.122 So, you know, it could all be a bunch of coincidences that they're all mixed up in the same nonsense or, you know, mythologies or 02:43:22.333 --> 02:43:26.215 maybe just because they all were in the Department of Energy, then it just kind of worked out that way. 02:43:26.275 --> 02:43:32.998 Well, you guys can work down the hall if you want, because I know you work on radiation now, but we got this thing called the genome. 02:43:33.018 --> 02:43:34.078 We're working on that down there. 02:43:34.118 --> 02:43:38.220 If you just want to go down the hall and join that meeting, maybe you want to be with those guys too. 02:43:39.321 --> 02:43:40.221 Holy shit. 02:43:40.661 --> 02:43:50.726 Some energy between all the nation states and that, you know, there's jurisdictional shopping that could be done, but when it starts to get all synchronized like that, it does hint that there's something, 02:43:51.786 --> 02:43:52.926 you know, more organized above it. 02:43:54.607 --> 02:43:55.107 And that's. 02:43:55.307 --> 02:44:02.709 And the more organized above it includes guys like him, includes Robert Malone, includes Jessica Rose, a.k.a. 02:44:02.829 --> 02:44:04.489 Epi Girl from the Spars document. 02:44:04.529 --> 02:44:06.670 It includes Pierre Corey, a.k.a. 02:44:07.390 --> 02:44:08.730 George Floyd suffocated. 02:44:08.790 --> 02:44:12.611 It includes all of these people and a lot of them are Canadian. 02:44:18.953 --> 02:44:19.713 That's that's frightening. 02:44:20.733 --> 02:44:20.853 Yeah. 02:44:21.957 --> 02:44:23.158 Um, I hope we can talk again. 02:44:23.178 --> 02:44:25.220 I hear people screaming already. 02:44:25.620 --> 02:44:25.841 Yeah. 02:44:25.861 --> 02:44:26.061 Okay. 02:44:26.261 --> 02:44:26.521 All right. 02:44:26.601 --> 02:44:26.982 Good stuff. 02:44:27.102 --> 02:44:31.846 Well, thank you for the time and hearing the story and happy to, uh, no, thank you is necessary. 02:44:31.906 --> 02:44:32.367 I loved it. 02:44:32.427 --> 02:44:36.270 I'm going to turn it into a nice video and I'll let you see it before I show everybody else. 02:44:36.771 --> 02:44:36.991 All right. 02:44:37.031 --> 02:44:37.591 Well, no worries. 02:44:37.671 --> 02:44:38.552 I'm cool with it. 02:44:38.572 --> 02:44:39.874 You got to take it and run. 02:44:39.894 --> 02:44:42.416 I don't care about the edits, but all right. 02:44:43.197 --> 02:44:43.597 Thank you. 02:44:43.757 --> 02:44:44.638 We'll talk again. 02:44:44.858 --> 02:44:45.018 Yep. 02:44:45.479 --> 02:44:45.799 Bye bye. 02:44:58.891 --> 02:45:02.473 So that was a Kevin McKernan show. 02:45:02.513 --> 02:45:05.956 I get them guys mixed up, but John Baldwin knows the difference between the two of them. 02:45:08.652 --> 02:45:20.956 I don't know, I think these people probably are responsible for what happened and responsible for the confusion that I found myself in and are responsible for me unable to reach a useful finish line until now. 02:45:21.496 --> 02:45:24.457 But it doesn't change the fact that we are at a useful finish line now. 02:45:24.877 --> 02:45:29.078 It doesn't change the fact that the evidence that's found in this book is overwhelming. 02:45:29.098 --> 02:45:30.359 It doesn't change the fact 02:45:30.839 --> 02:45:34.222 that the evidence in their behavior in the last few weeks is overwhelming. 02:45:34.662 --> 02:45:44.870 Their consistent promotion of each other and their consistent elaboration of this limited spectrum of debate is exactly how they got us here. 02:45:44.910 --> 02:45:46.872 They are all part of the same illusion. 02:45:47.472 --> 02:45:49.433 We need to break this illusion quickly. 02:45:49.833 --> 02:45:56.936 Right now, the illusion is about gain of function, RNA molecules and natural viruses, or that there are none of these things. 02:45:57.376 --> 02:46:01.977 And that illusion is about to be replaced by another one that more people are willing to accept. 02:46:02.438 --> 02:46:10.881 That the FDA has permitted bad foods and bad chemicals and bad products and bad water to be unleashed on the United States. 02:46:11.321 --> 02:46:16.683 And the FDA hasn't done shit about what it's supposed to do, even though all of these foods are really well labeled. 02:46:17.648 --> 02:46:21.306 even though the fluoride concentration in the water is well published. 02:46:22.970 --> 02:46:26.952 because of the FDA and the EPA, they wanna get rid of those guys because they're shit. 02:46:27.073 --> 02:46:47.165 And in the meantime, we're not gonna talk about the dangers of GMO plants or GMO insects or the ways that stem cell research could be used or the dumbness of intramuscular injection or the terribly diabolical malevolent background noise of remnant sales in the American medical system. 02:46:47.745 --> 02:46:56.372 None of that stuff will be discussed by any of these people, but they're going to save us from foods that we could just choose not to eat and water we could choose not to drink. 02:46:59.834 --> 02:47:11.964 Ladies and gentlemen, we are still being governed in the same way that was described by Noam Chomsky and before him by many other people, including Aldous Huxley and Edward Bernays. 02:47:17.637 --> 02:47:23.361 Thank you very much for joining me and I'll see you again tomorrow for Biology 101 at 10. 02:47:23.741 --> 02:47:37.552 And I think starting next week, we're also going to start the Tuesday, Thursday Probability and Statistics or something like that with Matt Briggs that we are on the third class of. 02:47:38.432 --> 02:47:39.713 Thank you very much for joining me. 02:47:39.813 --> 02:47:40.893 Thank you very much for being here. 02:47:40.933 --> 02:47:42.694 I'm trying to stay on schedule as best I can. 02:47:42.754 --> 02:47:44.395 I apologize for being here late today. 02:47:44.875 --> 02:47:47.136 Hopefully tomorrow I'll hit 1010 on the money. 02:47:47.216 --> 02:47:47.837 Thanks very much. 02:47:48.057 --> 02:47:49.117 And I will see you again soon.