WEBVTT 00:19.411 --> 00:20.212 Trust me. 00:20.692 --> 00:23.555 It's real. 00:23.695 --> 00:26.057 It's real. 00:26.197 --> 00:28.058 Full speed, Kevin. 00:29.900 --> 00:31.061 Into the wall. 00:31.902 --> 00:32.843 The tunnel, I mean. 00:42.989 --> 01:01.483 uh six years back i asked one question i never got an answer from anyone do you know anyone that died from kovid it's the fog of antibodies war and a procrastination of the fall of the dollar you're getting fuked up the arse i don't know what that means dude um let's just look from where i'm sitting there's a whole bunch of kovid brain going around um 01:01.957 --> 01:04.178 Do I know anyone that died from a heart attack? 01:04.198 --> 01:07.621 I'm afraid that the latest data tells us that we're dealing with essentially a worst case scenario. 03:07.694 --> 03:11.897 Good morning, good morning, good morning, good morning, good morning, morning. 03:11.917 --> 03:14.859 Hello, hello, good morning ladies and gentlemen. 03:14.899 --> 03:15.720 Welcome to the show. 03:15.760 --> 03:22.464 This is GigaOM Biological, a high resistance, low noise information brief brought to you by biologist CQCQ. 03:22.524 --> 03:25.947 This is W3JJW, Whiskey Juliet. 03:27.330 --> 03:28.451 Sorry, I said that wrong. 03:28.531 --> 03:30.392 Whiskey 3 Juliet Juliet Whiskey. 03:31.052 --> 03:34.273 Whiskey 3 Juliet Juliet Whiskey. 03:34.293 --> 03:41.337 This is W3JJW calling CQDX, trying to get out to the rest of the world. 03:42.512 --> 03:46.156 trying to alert the world that America is being undermined from within. 03:46.957 --> 04:01.332 We need some help getting this word out about RNA not being able to pandemic, about intramuscular injection just being dumb, not medicine, and transfection and transformation being crimes in healthy humans, especially if they don't understand it. 04:02.613 --> 04:06.335 And the population pyramid being a real problem that's in need of management. 04:06.355 --> 04:10.497 Thank you very much for joining me this morning It's actually this afternoon. 04:10.557 --> 04:20.402 It's 1220 shame on me for being late 26 people watching I guess that's because I'm late this first video is a video which will 04:21.983 --> 04:25.504 try to put into perspective where we are. 04:25.524 --> 04:29.266 I'm just going to bring myself on screen for a second if you don't mind. 04:30.406 --> 04:33.948 Let me get over here and see if I can do this correctly. 04:35.868 --> 04:36.769 Good morning, everybody. 04:36.829 --> 04:37.450 Welcome to the show. 04:37.470 --> 04:41.534 This is GigaOM Biological, a high-resistance, low-noise information brief brought to you by a biologist. 04:41.574 --> 04:42.555 My name is Jonathan Cooey. 04:43.135 --> 04:46.238 I'm coming to you live from my garage in Pittsburgh, Pennsylvania. 04:46.519 --> 04:50.623 And yeah, we're just doing another show, trying to get things done. 04:50.843 --> 04:58.431 If you're trying to get books to me, for example, like these coming via Norway and Teo, thank you very much. 04:59.331 --> 05:00.912 Just arrived today at P.O. 05:00.952 --> 05:02.272 Box 802. 05:02.713 --> 05:04.493 Weatherman skills failing. 05:04.994 --> 05:05.394 At P.O. 05:05.414 --> 05:09.275 Box 802, Bethel Park, Pennsylvania 15102. 05:09.676 --> 05:12.317 You can also email this email address. 05:12.557 --> 05:13.917 Gosh, I'm not very good at this. 05:14.678 --> 05:21.601 You can email this email address and get out a mailing list, which kind of gives you a little bit of a heads up of whether I'm going to do a show. 05:22.361 --> 05:30.668 But unless I get hit by a train, I think I'm going to be doing a show Monday through Friday somewhere before noon and after 10 a.m. 05:30.768 --> 05:31.609 So between 10 and 12. 05:32.610 --> 05:39.776 I'll try to go on at 10 10 but that doesn't happen very often because I'm always making adjustments and then get interrupted and then I need another cup of coffee and 05:40.456 --> 05:50.180 I like to start at 10-10, 11-11, or 12-12, and today I started at 12-20, so I guess this is quite appropriate. 05:51.360 --> 05:57.123 Anyway, let me stop this music here and see if we can get on to some more serious things. 05:58.663 --> 06:04.966 I really would like to first start with a little video, so I'm gonna see if I can pop myself down here at the bottom 06:05.606 --> 06:09.347 and then slide myself over here seamlessly in the cut. 06:10.427 --> 06:11.347 Hello down here. 06:11.367 --> 06:19.809 Again, this is the email, the address that I need or would love if you want to send anything to the house, send it via the PO box. 06:20.669 --> 06:23.109 It's funny, sometimes if we don't check this, there's nothing there. 06:23.149 --> 06:26.430 Other times, if we don't check it for a couple of days, there's like five extra boxes. 06:27.010 --> 06:30.331 So thanks to everybody that sends things, they usually end up on the back, 06:32.659 --> 06:34.400 if I do this just cheating wise. 06:34.440 --> 06:41.025 They usually end up back there and so you can't always see them because that's always overexposed, especially when the back lights are on. 06:41.045 --> 06:41.906 Hold on one second. 06:43.147 --> 06:46.550 I am a photographer, just not a very good one all the time. 06:47.570 --> 06:50.673 But if I get rid of those lights, see, that'll help a little bit. 06:53.356 --> 06:54.076 There we go. 06:54.116 --> 06:54.837 That's a little better. 06:54.857 --> 06:57.918 So there you can see, um, back there is usually where the mail comes in. 06:58.598 --> 07:08.362 Um, sometimes I have some mail here, like the card I got from, um, uh, the, the Ellen Watts, Melissa Watts, uh, hook up there. 07:08.822 --> 07:10.843 Very excited about that coming in June. 07:11.323 --> 07:17.226 Um, and then I also just put some books here that I get sometimes when they arrive or books that I'm reading. 07:17.246 --> 07:20.187 Um, I got a whole pile of, uh, 07:21.517 --> 07:27.482 of autism, old autism magazines, and I'm trying to understand the narrative. 07:29.400 --> 07:42.249 I'm trying to understand the narrative that was laid out even before somebody as courageous as Brian Hooker in 2013 came out and said that he doesn't do that kind of stuff. 07:42.349 --> 07:47.252 He doesn't use the word autism because that's not a word for him. 07:47.332 --> 07:52.196 His son was vaccine damaged or vaccine injured or neurologically injured by a vaccine. 07:53.497 --> 07:55.859 Anyway, welcome to the show. 07:55.979 --> 08:02.585 I wanted to start with a video about Kevin McKernan, or made by Kevin McKernan's company, Cortinae or Cortinois. 08:02.625 --> 08:03.606 You'll hear it in a minute. 08:04.307 --> 08:04.927 It's a video from 2017. 08:06.008 --> 08:15.237 I want you to listen carefully to Kevin and his brother explain how medicine is about to change in the next 10 years. 08:15.357 --> 08:17.018 Please listen carefully. 08:17.793 --> 08:27.064 for how Kevin McKernan explains how medicine is gonna change in the next 10 years and understand that this script did not start at COVID. 08:27.565 --> 08:36.176 It just became a little more in our face during COVID, but this script has been going on behind the scenes for decades. 08:36.616 --> 08:37.738 And of that, I am sure. 08:47.466 --> 08:59.348 Cortigen Life Sciences, with headquarters in Warburn, Massachusetts, which is just outside of Boston, is transforming the field of genetic testing and creating new ways to unlock the secrets that are hidden deep in our DNA. 08:59.988 --> 09:15.211 They're actually finding new methods to transform genetic sequencing information into meaningful test results to better understand why people have epilepsy and seizure disorders, mitochondrial disorders, and neurodevelopmental disorders, and what treatments may or may not work with an individual. 09:16.923 --> 09:22.304 So we decided to take a trip to Cortogen to meet the team and to find out what's going on in their laboratory. 09:29.238 --> 09:29.598 It is a child. 09:29.658 --> 09:35.983 Hi everyone, and today we're in Louisville, Massachusetts at Cortigen Life Sciences to meet the team and to find more about what they do. 09:36.403 --> 09:40.626 Cortigen was started by three brothers, Brian, Brendan, and Kevin McKernan. 09:41.206 --> 09:50.912 I had a chance to sit down and talk to Brendan and Kevin about their cutting-edge company and how they're changing the way patients with neurological disorders are diagnosed and treated. 09:50.932 --> 09:54.355 I learned that they had previously started two other companies. 09:55.256 --> 09:59.060 One of which developed a way to sequence DNA much faster and for less money. 09:59.942 --> 10:02.285 It was the basis of where Cortigen is today. 10:05.329 --> 10:09.534 It was a very big transformation to have sequencing technology change in that time frame. 10:09.614 --> 10:13.379 It went from costing maybe 300 million dollars to sequencing a human genome. 10:13.698 --> 10:29.686 now for me this is really familiar territory because they've been singing this song for 25 years now singing the song about how sequencing has become cheaper producing dna in pure large quantities has become cheaper 10:32.768 --> 10:36.271 And therefore transformation and transfection has become cheaper. 10:36.351 --> 10:36.851 That's it. 10:36.931 --> 10:38.413 That's what we need to hear here. 10:38.673 --> 10:48.081 And everyone from Kurtzweiler all the way to McKernan has been selling this as evidence of their amazing contribution to the progression of technology. 10:48.121 --> 10:56.728 This does not mean because they can copy books in a language they don't understand that they understand that language any better because they can copy the books cheaper. 10:57.540 --> 11:03.545 And we don't even know, because we don't understand the language, if we are copying those books with high fidelity or low fidelity. 11:04.205 --> 11:16.455 And that is one of the most remarkable assumptions that underlies this narrative, is that the fidelity of this process is intact, is real, when we can't even really verify it. 11:18.363 --> 11:22.948 And if we can now verify it, it is not a technology that we've had for that long. 11:23.348 --> 11:32.898 And it is still based on the modeling and approximation and probability models that all sequencing is based on. 11:34.585 --> 11:39.930 genome down to maybe $3,000 in a matter of like three to four years. 11:40.170 --> 11:42.092 So real dramatic change. 11:42.892 --> 11:57.345 And we started to see people apply this to patients and find out the underlying cause of their disease and make changes that... I would instead ask the question, what if autism is just a consequence of their program? 11:58.945 --> 12:00.145 It's just a consequence. 12:00.225 --> 12:02.206 It might be an unintended consequence. 12:02.246 --> 12:13.610 It might be something that they would rather have not happened because it would be better if they didn't have to have this elaborate fake anti-vax movement in order to deal with the problem. 12:13.810 --> 12:17.832 Absolutely, but I think you should see it more as just a consequence of their program. 12:19.592 --> 12:21.053 It's nothing they could have foreseen. 12:21.701 --> 12:29.328 immediately benefited the patients, which was remarkable and that made us think we need to do this at a much grander scale. 12:30.249 --> 12:36.596 We've been hearing from many of the physicians that this is really invaluable data in understanding and managing patient care. 12:37.076 --> 12:44.283 We've been hearing from physicians that genetic data is valuable to provide care. 12:44.723 --> 12:45.444 Stop lying! 12:48.228 --> 12:53.272 That is frickin' crazy remarkable to me that he even said that. 12:53.832 --> 12:56.995 We just gotta go back, because this whole thing is so thick. 12:57.535 --> 12:59.256 He lays it on so thick here. 12:59.296 --> 13:07.963 It is so perfect on Francis Collins, on Mark Lander, on Ventner, on everybody. 13:08.183 --> 13:13.067 This is just rock solid, dead on balls narrative. 13:13.227 --> 13:16.349 And I mean big time, bad biology, 13:17.412 --> 13:19.377 narrative like this is ridiculous 13:20.525 --> 13:26.828 We could envision having a collaborative ecosystem to bring patients and doctors together to start sharing these anecdotal cases. 13:26.948 --> 13:39.053 Benefit of the patients, which was to buy this to patients and find out the underlying cause of their disease and make changes that immediately benefited the patients, which was remarkable. 13:39.073 --> 13:46.876 $300 million to sequencing the human genome down to maybe $3,000 in a matter of like three to four years. 13:48.016 --> 13:49.056 real dramatic change. 13:49.877 --> 14:01.180 And we started to see people apply this to patients and find out the underlying cause of their disease and make changes that immediately benefited the patients, which was remarkable. 14:01.500 --> 14:04.801 And that made us think we need to do this at a much grander scale. 14:05.522 --> 14:13.144 That is a bold fricking claim that we have heard from doctors 14:14.667 --> 14:19.149 who have made changes based on the data that we've provided. 14:19.970 --> 14:21.591 Is the data a whole genome? 14:21.631 --> 14:22.771 Like they just give them a book. 14:22.811 --> 14:23.692 Here you go, doc. 14:24.292 --> 14:31.175 You know, it's color-coded for all the different genotypes and, you know, just flip through it and let us know what you find. 14:31.215 --> 14:43.702 We highlighted some of the most important parts, but other than that, you know, it's a couple of genetic polymorphisms, a few, you know, single polyphenucleotide morphins, you know, just a bunch of stuff like that. 14:45.339 --> 14:46.679 What is he talking about? 14:46.739 --> 14:48.040 Listen carefully now. 14:50.220 --> 14:56.602 We've been hearing from many of the physicians that this is really invaluable data in understanding and managing patient care. 14:57.542 --> 15:04.084 We can envision having a collaborative ecosystem to bring patients and doctors together and to start sharing these anecdotal cases. 15:04.564 --> 15:06.125 This is not a joke. 15:06.185 --> 15:13.087 The anecdotal cases they believe are these weird genetic susceptibilities. 15:15.649 --> 15:16.810 Sometimes it's autism. 15:16.870 --> 15:19.233 Sometimes it's an allergy. 15:19.293 --> 15:20.794 Sometimes they get CFS. 15:20.835 --> 15:25.079 It's all just genetic, just predispositions. 15:25.139 --> 15:28.282 And we just have to sequence people and find the predispositions. 15:28.743 --> 15:31.486 And then we can design a vaccine program for you. 15:34.005 --> 15:36.846 and try to change medicine a lot faster than it has been done in the past. 15:37.166 --> 15:51.290 We believe the clinical trials are gonna change dramatically in the next 10 years, that they will begin to use DNA sequencing as almost a trial requirement so that they- They will begin to use DNA sequencing. 15:51.490 --> 15:59.893 They will begin to use DNA sequencing as a primary trial tool. 16:02.099 --> 16:03.099 Listen carefully. 16:03.719 --> 16:04.640 Listen carefully. 16:04.700 --> 16:05.820 Sorry for the double there. 16:10.141 --> 16:11.642 Oh, I got to start it again first. 16:11.882 --> 16:13.062 Oh, get out of the way, mouse. 16:13.322 --> 16:25.626 We can begin to focus their drugs in the next 10 years that they will begin to use DNA sequencing as almost a trial requirement so that they can begin to... A trial requirement. 16:25.686 --> 16:26.306 That's what he said. 16:27.313 --> 16:31.054 Focus their drugs at the right patient populations. 16:31.354 --> 16:39.415 Right now, medicine is very much a law of averages game where they look to see if a drug works across the entire population and see how well it works. 16:40.115 --> 16:41.695 And those days might be over. 16:41.935 --> 16:43.516 Those days are probably going to change. 16:43.636 --> 16:46.356 We need to sequence everyone. 16:46.436 --> 16:49.117 Otherwise, we don't even know if drugs work for you. 16:51.197 --> 16:52.997 We need to sequence everyone. 16:53.838 --> 16:56.098 Or maybe just the really sick anecdotal people. 16:56.960 --> 16:58.041 It doesn't really matter. 16:58.601 --> 17:02.985 If you're advocating for this, you are advocating for the bad biology. 17:03.045 --> 17:11.353 You are imagining that the vast majority of what we call disease in health is something connected to genes. 17:11.993 --> 17:18.699 And if we just knew what those genes were, then we could get a suite of medicines that would be best for those. 17:18.779 --> 17:22.663 Sounds so much like the domain server, doesn't it? 17:22.723 --> 17:23.784 But in a different spin. 17:28.989 --> 17:36.655 to the point where the pharmaceutical companies recognize that, well, we need to first figure out which patients the drugs are good for. 17:36.875 --> 17:42.580 So the pharmaceutical companies also recognize that we have to figure out who the drugs are good for. 17:42.640 --> 17:57.692 So the pharmaceutical companies also recognize that the genetic background of all these people would be useful, or could be useful, or might be useful data to hide behind, or might be a useful argument to make so that we never have to test drugs again. 18:01.078 --> 18:07.514 so that we never have to, you know, we can just use vaccines and we'll just use mRNA and we'll just design it for you and so then screw it. 18:07.975 --> 18:10.582 The FDA is corrupt anyway, we might as well get rid of it. 18:15.049 --> 18:20.111 and then get much better yield and efficacy by placing the right drugs to the right patients. 18:20.471 --> 18:35.976 Eventually we could work with- This is actually a lot of what Sasha Latupova worked on with her company, which was trying to screen people with, you know, weird heart arrhythmia so that when you gave a drug that would change the heart arrhythmia, it would, you know, be more likely to not, you know, catch that person. 18:36.016 --> 18:42.898 We don't want to use any people where they are vulnerable to a heart medication or heart side effects, so we'll screen them. 18:43.698 --> 18:45.218 and keep them out of those trials. 18:45.278 --> 18:46.819 It's the same bullshit. 18:47.719 --> 18:49.520 Working for the same slavers. 18:49.900 --> 18:55.101 The pharmaceutical companies say, hey, this is an interesting target for a child that might have chronic fatigue. 18:55.201 --> 18:57.522 Perhaps we should have a- Chronic fatigue? 18:57.782 --> 18:59.422 What's that, Judy Mikovits? 19:00.502 --> 19:02.383 Joint development to bring another drug to market. 19:03.163 --> 19:10.505 So we're very hopeful that this process of finding drugs is going to speed up and accelerate based on genetics. 19:12.054 --> 19:17.899 We hope the process of finding drugs is going to speed up thanks to genetics. 19:21.663 --> 19:23.725 Actually, that's probably an incorrect sound. 19:23.765 --> 19:24.906 I mean, I should have probably gone. 19:26.007 --> 19:28.629 That's absolutely right on dead on balls narrative. 19:28.689 --> 19:34.634 He's been, he's been dead on balls narrative from the very beginning because in 2017 he was dead on balls narrative. 19:38.177 --> 19:46.142 working toward this goal of sequencing first, I guess we'll start with all the interesting kids and all the all the screwed up anecdotal cases. 19:46.182 --> 19:50.245 And then we'll combine that with the with the genome data that we're already collecting. 19:50.305 --> 19:57.489 And once we get there, you know, we'll establish this new stream of remnants in 2020, where everybody will just be swabbing. 19:59.690 --> 20:02.032 I wonder what kind of samples they use. 20:02.660 --> 20:12.525 Then I spoke with Holly Hornung, a genetic counselor, and she described how doctors work with parents to order the tests for their children and what happens after they receive the results. 20:13.246 --> 20:15.187 Order the tests for their children? 20:15.647 --> 20:16.807 Why would they need to do that? 20:16.847 --> 20:18.388 It's the Human Genome Project. 20:18.448 --> 20:22.250 It's only like $3,000 to sequence the whole genome. 20:22.290 --> 20:23.511 So what are the tests? 20:26.172 --> 20:27.693 What are the tests that they're running? 20:28.433 --> 20:32.635 Why is it described like that when it's just a genome sequence, right? 20:33.175 --> 20:35.376 Or maybe it's not, huh? 20:36.137 --> 20:37.477 Maybe it's not. 20:38.918 --> 20:40.259 Do you see the illusion? 20:41.039 --> 20:43.120 They're not sequencing these kids. 20:44.320 --> 20:49.583 They're looking for markers, which is a very, very easy thing to do with PCR. 20:52.807 --> 21:01.829 They're not sequencing these kids and looking at the whole genome and deciding what's useful unless they're giving that information to the government or storing it somewhere. 21:02.389 --> 21:03.470 Where are they storing it? 21:03.530 --> 21:05.590 You see the problem that that creates? 21:07.131 --> 21:08.311 This is an illusion. 21:08.371 --> 21:16.253 And if you assume that it's all sequencing, it's all magic because they invented the machines, then you assume that they're really doing what they say they're doing. 21:17.281 --> 21:25.363 when they could just be making restriction enzyme maps of everybody and sequencing the useful areas that they have some handhold on what's going on there. 21:26.323 --> 21:30.024 And the rest is just, holy cow, billions of bases. 21:30.064 --> 21:31.625 We have no, we don't play with those. 21:33.985 --> 21:41.827 They tell you a few stories about cystic fibrosis and a few stories about autism and a few stories about, you know, personalized medicine. 21:41.887 --> 21:45.568 And it just round and round and round it goes for decades. 21:50.379 --> 21:56.705 So my primary role here is to review all the genetic data that comes from our patients and write reports. 21:57.266 --> 22:06.415 And I really just try to look to see if we can find an answer for why patients are having symptoms, be it epilepsy or developmental delay, and just so we can give families answers. 22:06.876 --> 22:12.541 So the testing needs to be ordered by a physician, so either a pediatrician, a neurologist, a geneticist. 22:12.561 --> 22:14.023 It doesn't really matter what specialty. 22:14.443 --> 22:22.889 So essentially what they do is they sequence a bunch of markers that have known connections to some symptomologies, you know, like correlation. 22:23.770 --> 22:31.735 And then they take your genome and they look at those things and they try to tell you a story that might explain why you have chronic fatigue. 22:34.837 --> 22:38.760 Or maybe why you developed, why you developed, stop. 22:38.800 --> 22:40.181 I have no responsibility. 22:40.941 --> 22:42.643 Why you developed epilepsy, right? 22:43.561 --> 22:44.081 That's all. 22:44.862 --> 22:52.746 And then the doctors find it really useful if we tell them this information, because then they can make changes to their treatments. 22:54.226 --> 22:55.407 This is just an illusion. 22:55.447 --> 22:57.968 You can see that this woman is like, what, huh? 22:58.168 --> 22:59.429 I kind of just do stuff. 22:59.469 --> 23:00.970 I don't really figure anything out. 23:01.570 --> 23:05.312 I just put some stuff in an Excel sheet, and then I look at the useful ones. 23:05.372 --> 23:10.635 And maybe I Google PubMed a couple genes, and then I make up a story. 23:12.031 --> 23:14.933 It's like, it is so much like Theranos. 23:15.013 --> 23:15.954 It's kind of frightening. 23:17.115 --> 23:28.883 And if you realize that their dad was connected to microarray data and microarray technology back when, you know, sequencing pathogens and sequencing, sequencing was already interesting. 23:28.923 --> 23:32.285 And that's how this brothers, these brothers got their start. 23:34.007 --> 23:34.927 Come on guys. 23:37.209 --> 23:39.871 This is like a Jeff Bezos or an Elon Musk. 23:42.748 --> 23:46.151 He's been given technology that other people invented. 23:46.171 --> 24:00.023 He probably contributed something clever to it, but it's just, he is the forward facing face of a whole huge project of people that I guess none of those other people have anything to say. 24:00.083 --> 24:09.851 Just Kevin McKernan's got stuff to say for the last five years about the pandemic and about PCR and about DNA contamination and methyl pseudouridine. 24:11.109 --> 24:35.456 Nobody else that worked on the Human Genome Project anywhere on earth has anything to say but Kevin McKernan, this guy, who has an oddly interestingly parallel interest to Claire Craig of the 100,000 Genomes Project, a clinical pathologist in the UK who was assembling 100,000 genomes to look at some chronic diseases and stuff like that before the pandemic. 24:38.257 --> 24:49.410 You know, Claire Craig, the one that Kevin McKernan wrote the Drorsten report with, where they kind of objected to the primers of the WHO PCR test and said that that guy from Germany is bad. 24:52.982 --> 25:11.984 It's all one big show and there are only a few key liars that are necessary to sustain it and everybody else can just have interest in in popularity or in sponsorships or in their rising view count in hopes that they're gonna get on Joe Rogan and then I guess they're gonna retire somewhere. 25:12.024 --> 25:12.384 I don't know. 25:13.065 --> 25:13.725 It's gross. 25:16.927 --> 25:20.009 And then cortisone just provides a saliva tube. 25:20.049 --> 25:21.409 So all you have to do is spit in a tube. 25:21.489 --> 25:23.130 You don't have to get a blood draw or anything. 25:23.830 --> 25:25.411 A saliva tube. 25:25.871 --> 25:26.032 Oh. 25:26.852 --> 25:27.092 Huh. 25:27.892 --> 25:37.817 So maybe I'm right about the fact that the use of PCR as a diagnostic in all of our hospitals is actually just a remnant stream for whole genome sequencing. 25:37.857 --> 25:39.278 Maybe I'm not so crazy after. 25:39.678 --> 25:40.198 Wow. 25:40.298 --> 25:41.319 Isn't that interesting? 25:41.799 --> 25:42.019 Huh. 25:42.980 --> 25:43.200 Huh. 25:43.922 --> 25:45.703 Those remnants aren't worth anything. 25:46.183 --> 25:48.344 Nobody would ever want those swabs. 25:49.885 --> 25:52.467 We can send it to your house if your doctor doesn't have one in their office. 25:53.807 --> 25:55.208 They can send it to your house. 25:55.368 --> 25:55.728 Wow. 25:55.848 --> 25:56.349 Interesting. 25:56.409 --> 25:58.310 I guess that they could scale that up. 25:58.370 --> 25:58.790 Couldn't they? 25:58.870 --> 25:59.750 Oh, wait, they did. 25:59.771 --> 26:00.491 Uh-huh. 26:01.428 --> 26:02.369 Cool, that's about it. 26:02.770 --> 26:15.770 So they'll get a genetic test result, which is essentially just a few pieces of paper, and it'll show them what genetic variants or what changes in their genes that we looked at were identified and if anything we think is associated with it. 26:16.314 --> 26:21.018 And so they can only look at patterns that are consistent across many genomes. 26:21.078 --> 26:23.099 They can only look at patterns that remain. 26:23.560 --> 26:25.681 And those patterns don't cover everything. 26:26.102 --> 26:29.324 Those patterns have nothing to do with the trajectory across time. 26:29.705 --> 26:38.872 Those patterns have nothing to do with the assembly of proteins or their temporal expression patterns or their folding patterns in different, nothing to do with that. 26:39.693 --> 26:43.636 And since ribosomes are the most important machine in our body, 26:45.626 --> 26:48.668 And they're also encoded in DNA and they never talk about those. 26:49.288 --> 26:50.569 It's just kind of weird. 26:51.309 --> 26:52.730 You know, it's just kind of weird. 26:52.830 --> 26:56.752 Ribosomes are actually RNA protein, riboprotein machines. 26:56.772 --> 27:00.734 You know, they're made of RNA and protein subunits, which is pretty cool. 27:01.255 --> 27:01.555 I don't know. 27:02.235 --> 27:02.795 I think it's cool. 27:07.631 --> 27:09.572 I also got to take a tour of the lab. 27:10.032 --> 27:16.214 Christine Stanley, the chief lab director, told me about the entire process and how the technology works. 27:18.014 --> 27:20.795 So we'll get individual patient samples. 27:20.815 --> 27:24.317 We'll come in and get them by FedEx and other methods. 27:24.837 --> 27:31.199 Most of our samples come in through saliva, saliva tubes at room temperature, or we also accept blood. 27:32.019 --> 27:33.700 And the first step is to 27:35.200 --> 27:46.968 take that patient information, enter it into our system, remove the sample, make sure everything looks okay, make sure there's good identifiers so that we're not mixing up different patient samples with one another. 27:46.988 --> 27:52.212 So we keep good tracking of all that patient information as soon as it comes in the door. 27:53.233 --> 27:57.136 Once we have that saliva sample ready, then we need to go to extraction. 27:58.036 --> 28:10.333 and we will extract the DNA from the saliva or the blood sample and then we'll need to take the sample and we do like a barcoding to the sample so that we know 28:12.324 --> 28:14.185 It's a weird question that you put in the chat. 28:14.206 --> 28:22.492 I don't know if you saw what I held up before, but I see Taxicube has a question about the Marvel Universe, boys, etc. 28:22.572 --> 28:25.694 Autism movement, genetic testing, and vaccination have to do with each other. 28:26.255 --> 28:30.098 There was a comic book that was put out in 28:32.180 --> 28:33.441 This is cool. 28:33.501 --> 28:34.281 Check it out, baby. 28:36.183 --> 28:37.183 Let's go over here. 28:37.984 --> 28:38.664 Did that not work? 28:39.064 --> 28:39.525 What the hell? 28:39.945 --> 28:40.925 I didn't have the camera on? 28:41.065 --> 28:41.466 Of course! 28:42.466 --> 28:46.749 You know, I'm gonna really, seriously, my technical staff is just falling apart. 28:46.809 --> 28:52.732 So I got this comic, number one, never touched, probably should put gloves on if I was a real comic book guy. 28:52.772 --> 28:53.573 Come on GoPro, do your thing. 28:57.635 --> 29:02.526 In case you want, one of my secrets is that the best GoPro is GoPro 7 Black. 29:02.666 --> 29:03.748 Everything else is crap. 29:04.229 --> 29:06.414 GoPro 7 Black allows you to do two things. 29:06.634 --> 29:08.438 One, you can get a live feed. 29:09.815 --> 29:16.680 like this, and that live feed can also be powered by USB-C, so you can do it forever. 29:17.301 --> 29:19.122 And that's the only GoPro that does that. 29:19.222 --> 29:21.244 Any other GoPro, they've screwed that part up. 29:21.844 --> 29:34.454 So you can't buy a 7 Black anymore, except for secondhand, but if you find one or you see one on Craigslist, buy it, send it to 802-PO-BOX, 802 Bethel Park, Pennsylvania, 15102, and I'll put it to work. 29:36.035 --> 29:38.035 And this is my GoPro 7 here. 29:38.636 --> 29:42.376 And this is the first fantastic issue of Face Value Comics. 29:43.276 --> 29:44.837 Now this thing is dope! 29:47.597 --> 29:48.417 Why is it dope? 29:50.758 --> 29:56.079 Autism and face values studies facial expressions as one way to improve communication. 29:56.639 --> 30:01.060 Now I can't show you all this right now because I'm afraid I just want to preface it first. 30:03.382 --> 30:04.983 and why I'm so excited about it. 30:05.083 --> 30:06.344 I don't know why that's flaring. 30:06.664 --> 30:08.325 Let's see if I can fix that flare. 30:09.446 --> 30:10.486 I can't fix that flare. 30:10.526 --> 30:11.947 It's just how I have it set up. 30:12.007 --> 30:14.209 That's also how I get some light back on my face. 30:15.629 --> 30:20.813 So anyway, the reason why I think this is cool is because neuroscience, that 30:23.151 --> 30:24.953 that field I used to work in a long time ago. 30:24.973 --> 30:35.923 Neuroscience has this whole subfield of facial recognition cells in monkeys where they record from grandmother's cells and Bill Gates' cells and they have 30:37.748 --> 30:45.350 created this mythology about the possibility that individual neurons encode faces. 30:46.410 --> 30:56.713 And they have pursued these ideas under the pretense that autistic kids cannot recognize facial expressions and emotion. 30:56.953 --> 30:59.914 And so we need to study that part of the brain. 31:00.334 --> 31:03.835 And then we can maybe compare the autistic brain to the, 31:05.676 --> 31:06.696 the normal brain. 31:06.716 --> 31:15.603 Now, obviously, I think that that's silly, but that's what this comic book is essentially supposed to be reinforcing. 31:17.345 --> 31:19.386 That's what this money was spent to do. 31:19.467 --> 31:24.430 Now, if this artist has no idea that that whole concept is dumb, 31:25.233 --> 31:35.056 that that's not a way of thinking about autism when it's just neurological damage after repeated intramuscular injection as 2013 Brian Hooker would say. 31:35.996 --> 31:43.838 But instead, they want you to believe it's a very complex disorder with a complex bouquet of environmental and genetic causes. 31:44.838 --> 31:49.439 And one of the things that can happen is a lot of these kids don't recognize facial expressions. 31:49.839 --> 31:52.120 And so we should understand them better. 31:53.677 --> 31:59.858 We should try to understand autistic kids and we should have our kids understand other autistic kids that they don't get faces. 32:00.558 --> 32:01.658 And this is a big thing. 32:01.698 --> 32:03.219 They put this in place. 32:04.739 --> 32:05.779 Sorry, I can't read. 32:05.799 --> 32:08.760 2013, this one's coming from. 32:09.380 --> 32:22.642 So 2013, coincidentally, the same year that Brian Hooker was recorded as saying that he doesn't use the word autism because his kid was neurologically damaged due to intramuscular injection or, you know, vaccination. 32:24.215 --> 32:25.115 So that's pretty cool. 32:25.235 --> 32:29.096 You just mentioned that, so I thought I would show you that. 32:29.156 --> 32:33.317 We might read that later, because it's actually a really cool comic about a future world. 32:34.257 --> 32:37.138 Let me just do it a little bit, because it's just awesome. 32:38.878 --> 32:40.158 Welcome to the future! 32:40.178 --> 32:43.799 I am Tess, your guide for this adventure. 32:44.019 --> 32:49.040 Whenever you see my face inside the gears, look for more information about characters in our story. 32:50.371 --> 32:53.752 In 2072, aliens attacked Earth. 32:53.812 --> 32:57.394 Our peaceful society seemed to be unprepared, but not the Zephyr. 32:58.874 --> 33:03.035 Most people think he is just a blue costume crime fighter, but he's been a surprising help. 33:04.416 --> 33:06.317 Eel men are breaking through our defenses. 33:06.397 --> 33:09.158 Let the shimmer fly for the airborne resistance. 33:09.878 --> 33:13.319 Sergeant Stumpy, get your wasp ready, your wasp cannon. 33:14.279 --> 33:15.920 Fall back and protect the robot. 33:17.341 --> 33:19.222 Sometimes the world may seem confusing. 33:19.622 --> 33:20.783 Let me help you understand. 33:20.883 --> 33:23.264 First, listen to the Zephyr and be safe. 33:23.324 --> 33:26.786 I'll tell you the story about our story so far, so it's really bizarre. 33:27.827 --> 33:29.748 We didn't always live this way. 33:29.828 --> 33:30.968 Don't worry about the Zephyr. 33:30.988 --> 33:33.650 He's a strong fighter who knows and sees a lot. 33:33.690 --> 33:35.050 He just wants us to be safe. 33:37.331 --> 33:39.212 Why are you reading a comic book? 33:39.232 --> 33:39.933 We're at war. 33:41.727 --> 33:46.815 Space birds, the shimmer, don't, didn't always live amongst the clouds. 33:46.835 --> 33:47.836 Okay. 33:48.718 --> 33:52.564 Mankind didn't always fly steam powered gyrocopters either. 33:54.141 --> 33:54.641 Here it goes. 33:54.802 --> 33:58.585 A hundred years after atomic bombings, world leaders met in Japan. 33:58.805 --> 34:02.108 Mankind admitted and learned from its shared mistakes. 34:02.708 --> 34:10.294 Now I've been saying for a while that they're eventually going to admit that the old vaccine schedule was less than optimal. 34:10.334 --> 34:15.258 And one of the ways that they will admit it is what Kevin McKernan is talking about in this video. 34:15.979 --> 34:27.085 where he says that, you know, he wants to see in the next 10 years that the use of drugs in medicine and production of drugs in medicine will become based on or require genetic screening. 34:29.027 --> 34:34.650 And so here, talking about admitting mistakes, that's how they're going to get you to accept it. 34:35.450 --> 34:39.713 They're going to tell you what James Lyons Weiler agrees with 34:41.171 --> 34:42.252 Paul Offit about it. 34:42.292 --> 34:46.175 It's a complex interplay of environmental and genetic causes. 34:46.895 --> 34:52.940 And so, since the environmental causes are irreducibly complex, we might as well focus on the genetic causes. 34:56.690 --> 35:07.758 And I really believe that although this comic book has nothing to do with that directly, it is a thematically related story because they are planning to admit something. 35:07.838 --> 35:14.303 Even if it's just that the first round of the COVID vaccines weren't very good because we used the gain-of-function spike protein. 35:14.823 --> 35:17.185 I mean, that's where this is going. 35:18.486 --> 35:24.270 And so governments made peace agreements, scientists found fuels, new fuels and medicines 35:25.427 --> 35:27.731 Humanity saw an end to much suffering. 35:28.872 --> 35:30.014 Look at the phoenix there. 35:30.054 --> 35:31.517 That's a phoenix in that picture. 35:31.557 --> 35:31.897 See that? 35:31.957 --> 35:32.458 The phoenix? 35:32.518 --> 35:33.480 Do you see the phoenix? 35:33.560 --> 35:34.621 Do you see the phoenix? 35:39.364 --> 35:44.865 Union that the Scald Union ensured steam-powered technologies became available to the masses. 35:44.906 --> 35:48.466 You see so the masses get to use shitty technology. 35:48.726 --> 35:49.847 I don't trust Scald. 35:50.987 --> 35:54.568 Vegetarian diets reduced world hunger. 35:55.148 --> 35:55.968 Listen to this. 35:56.028 --> 35:57.349 This is a comic book. 35:59.929 --> 36:01.290 And over the next generation 36:02.435 --> 36:06.798 Over the next generation, Earth welcomed extraterrestrial visitors, too. 36:06.858 --> 36:18.924 Several peace-loving aliens sought safety in our utopian society where vegetarians eat and where everybody uses steam power. 36:19.024 --> 36:21.106 Of course, there's walking trees. 36:22.352 --> 36:26.676 There's animals called Chilaxin that use sunlight for food. 36:27.636 --> 36:30.739 And there are bio droids with fiber optic vines. 36:32.320 --> 36:34.462 And not all the robots on Earth are good, though. 36:36.284 --> 36:38.125 They live beneath the oceans. 36:38.205 --> 36:39.987 And these guys are bad guys, apparently. 36:40.447 --> 36:42.429 And they live beneath the polluted water. 36:43.890 --> 36:45.071 And yada, yada, yada. 36:46.690 --> 36:52.609 Curious of our surface world, the Jachari shared unique literature, music, and almost magical science. 36:54.309 --> 36:56.350 Anyway, it goes on and on and on, right? 36:56.430 --> 36:57.531 That's what we're doing. 36:57.591 --> 37:11.298 And if there's ever any confusion or if you're supposed to feel confused with the main character, who's of course a superhero, who's just an autistic kid who has anxiety, then they turn the page upside down and you have to read it upside down. 37:11.338 --> 37:15.440 And that's supposed to make you, you know, empathize with the guy in the character. 37:15.520 --> 37:17.141 So we might look at this. 37:17.261 --> 37:18.261 I haven't finished reading. 37:18.281 --> 37:19.442 I haven't even started reading it. 37:19.482 --> 37:21.023 That was actually the first time I read it. 37:21.903 --> 37:32.170 so it's a little sharp it's a little crispy um it was meant to be another show and i didn't have anything else to do so i probably wasted a little time there but because somebody asked that in the chat 37:34.642 --> 37:38.286 I just thought that notepad is the perfect notebook form. 37:38.306 --> 37:39.066 That is correct. 37:40.388 --> 37:43.531 In case you're wondering, this is a Rhodia notebook. 37:43.571 --> 37:45.753 But yes, that is absolutely correct. 37:46.313 --> 37:49.857 I would agree with that 100% with Garden Variety Human. 37:51.158 --> 37:53.540 So let me flash back over here, get this started again. 37:53.580 --> 37:54.902 Shoot, we're still on the same video. 37:55.242 --> 37:57.606 processing that belongs to that patient. 37:58.187 --> 38:05.638 So when we mix the samples in the next steps, we can take all that back out and we can separate all the patients with one of those. 38:05.819 --> 38:10.025 Each sample gets a unique code to it that's actually embedded in the sample itself. 38:10.836 --> 38:17.762 So it sounds like, to me, what they've really done is mastered the ability to screen lots of people or do lots of tests, you see. 38:18.282 --> 38:23.146 It's not so much the insight that they're providing, it's the data they're generating. 38:23.306 --> 38:23.967 Oh, the data. 38:24.227 --> 38:28.370 Once we have the sample extracted, then we have to prep it for sequencing. 38:28.610 --> 38:32.494 And once we then prep the samples, we'll run those through our MiSeqs. 38:33.254 --> 38:39.259 and they will obtain the DNA sequence of the samples. 38:39.579 --> 38:59.356 But what we'll do then is we'll take the information from the patient, what's the clinical presentation of the patient, and then we look at the variation that we identified in that patient's DNA sequence, and we'll look at the genes where we find the variation, and we say what clinical presentation 38:59.781 --> 39:02.142 I wonder what the variation is from, right? 39:02.182 --> 39:06.105 What do they start as a baseline for the variation that they identify? 39:06.585 --> 39:08.026 That's all the wizardry here. 39:08.066 --> 39:12.749 This is no different than 23andMe or Theranos or any of these other things. 39:12.809 --> 39:14.229 Theranos was doing it with blood. 39:14.289 --> 39:19.793 These guys are doing it with sick kids who are fine with giving a sample of their saliva. 39:19.893 --> 39:22.574 And so this is remarkable. 39:22.594 --> 39:24.255 2017, Kevin McKernan. 39:26.195 --> 39:30.178 is associated with individuals who have variation in those genes. 39:30.939 --> 39:48.192 Our field is expanding so quickly and the information that we're getting is just so immense that we're rapidly starting to collaborate with other laboratories and form large collaborative databases where we all put our information in there from the patients that we've sequenced. 39:48.452 --> 39:51.335 Large collaborative databases, what could go wrong? 39:52.075 --> 39:55.418 And we use each other's information to help figure out 39:55.913 --> 40:02.616 when we get those uncertain variants or uncertain variations in the sequence, what that means. 40:05.138 --> 40:10.020 Finally, I talked to Doug Kennedy, Director of Nonprofit and Volunteer Outreach. 40:10.820 --> 40:15.863 I was thrilled to learn that at the center of the Corningian culture is the spirit of giving back. 40:16.638 --> 40:20.719 I think there's a true compassion and genuineness behind Cordington's leadership and their staff. 40:21.320 --> 40:25.041 I think that in itself gives us a platform to really touch a lot of lives. 40:25.321 --> 40:40.886 We sponsor events, either putting on walks or dinner parties or things to really benefit the lives of the people, you know, families like your own and to give them a brighter future and a community to learn from. 40:40.906 --> 40:43.167 I think it's more motivating than being able to 40:44.088 --> 40:52.512 uh, discover the underlying cause of the disease and see outcomes, see patients that are affected by this and perhaps cured by this. 40:52.872 --> 40:57.474 Nothing is more rewarding than finding the underlying causes and curing kids. 40:57.554 --> 40:59.075 This guy is amazing. 40:59.095 --> 41:01.736 Yeah. 41:01.796 --> 41:05.018 So murder and lies for what I would argue the human genome project. 41:05.058 --> 41:09.200 That's the reason why we have a fake anti-vax movement in America. 41:11.621 --> 41:15.045 It's a pretty bold statement to make, I think, but I'm going to make that statement. 41:18.488 --> 41:33.645 So just taking it one step further, if the body starts reusing those pseudouridines in large quantities and other proteins, then you could be seeing mutations of important proteins in your body, at least in certain areas. 41:34.369 --> 41:35.890 hasn't been really tracked down. 41:36.411 --> 41:46.399 They're leveraging an important pathway in biology to evade some of the RNases without really taking a close look at what does that do to the RNA biology in the cell. 41:46.799 --> 41:54.266 So he's just complicating things with bullshit because we actually use pseudouridine in our cells, it's there. 41:54.806 --> 41:56.788 It's not like it can't be degraded. 41:57.248 --> 42:01.572 And so he's pretending, the guy just asked him if it could mutate genes. 42:03.834 --> 42:11.337 This is the methyl pseudouridine in the RNA transfection is not going to mutate any genes, but it's going to screw up a lot of stuff. 42:11.818 --> 42:15.099 But if he gets you to chase that one down, that's just great. 42:15.179 --> 42:16.360 This is last year. 42:18.041 --> 42:22.943 The reason why I'm showing you this video is because at the very end of the video, he addresses this list. 42:24.212 --> 42:37.560 This list where RNA cannot pandemic, intramuscular injection is dumb, transfection in healthy humans was always a crime, and the population pyramid is a problem being actively managed by his bosses. 42:38.180 --> 42:42.923 He will say a response to this list at the end of this video. 42:42.963 --> 42:44.004 This video is from mid 24. 42:46.926 --> 42:51.509 Okay, can you go back to the melting point idea that you mentioned? 42:52.050 --> 42:54.932 How would that affect the RNA, if at all? 42:55.952 --> 42:58.494 It changes the secondary structure, meaning it folds differently. 42:58.634 --> 43:05.739 And a lot of the enzymes in your body and a lot of the toll receptors key in on single versus double-stranded RNA. 43:05.879 --> 43:11.704 And I think most of the vaccine RNA, it's gonna look like double-stranded RNA just because it folds and hairpins. 43:11.804 --> 43:15.827 There's a paper that I put out with Peter McCullough on this, where if you take, 43:16.607 --> 43:30.029 the codon-optimized sequences, which are a lot more GC enriched and also have these N1-methylsutadiuridines and put them into a program called RNA Fold, you'll see a completely different secondary structure for the vaccines than you'll see for the virus. 43:30.590 --> 43:44.012 And so he's arguing that they'll be degraded because of the secondary structure or they won't be degraded because of the secondary structure, never mind the fact that the, sorry, the tertiary structure, but the tertiary structure is what it's selected on then. 43:45.097 --> 43:47.018 The tertiary structure could give it function. 43:47.078 --> 43:52.121 The tertiary structure could make it avoid or attract these toll-like receptors. 43:52.601 --> 43:58.864 But instead, he talks in big terms like it'll look double-stranded, it'll look single-stranded. 43:58.984 --> 44:03.767 No, he's just overcomplicating something that's very simple. 44:04.167 --> 44:07.909 Transfection in healthy humans is a crime. 44:08.709 --> 44:34.498 because the injection of RNA with the intention of expressing a protein in random places and getting the body to usefully respond to the biological consequences of that hypothetical protein is so many layers of dumb, it actually makes the old vaccine schedule look somewhat intelligent in certain contexts and in certain manifestations. 44:37.765 --> 44:39.086 That's how remarkable it is. 44:39.266 --> 44:47.533 Transfection is actually dumber than previous vaccines, because previous vaccines, if they were applied to the skin, almost make sense. 44:48.313 --> 44:51.075 Some of them do, depending on how they're produced. 44:51.516 --> 45:03.184 Most of them don't, because they have all kinds of other shit in them, and because they're not put in a place where you could, in theory, augment the cartoon of the immune system as best we understand it. 45:03.985 --> 45:06.327 Intramuscular injection is the opposite of that. 45:07.932 --> 45:10.873 And his job is to make sure that you never get to that point. 45:10.933 --> 45:16.915 But you're considering an endless list of potential possibilities, one of which is changing genes. 45:17.275 --> 45:17.795 Come on. 45:18.835 --> 45:19.356 Come on. 45:20.316 --> 45:26.018 What that tells you is that the toll receptors that are typically looking for these things are going to be confused by it. 45:26.138 --> 45:27.878 The enzymes that like to destroy these things. 45:27.978 --> 45:28.939 Confused? 45:29.299 --> 45:32.540 Is that really the word that you should use as a biologist? 45:33.430 --> 45:36.892 Confused, the toll-like receptors are gonna be confused. 45:37.432 --> 45:38.153 Stop lying! 45:38.653 --> 45:41.014 This is just, it's just so much bullshit. 45:41.355 --> 45:42.595 Things are gonna be confused by it. 45:43.776 --> 45:47.618 The RIG-1 is one and MD5 is another one that look for these things to try to destroy them. 45:48.078 --> 45:51.420 List a couple things that don't matter to confuse the guy even more. 45:51.460 --> 46:01.066 You're still not really explaining the biology and you're still not really being honest because if you were being honest, of course, it's just murder and lies and you're in charge of it. 46:02.324 --> 46:07.650 It's certainly going to present a different response to how your immune system looks at this. 46:07.730 --> 46:09.752 It might be one reason why it's evading everything. 46:10.293 --> 46:16.280 Some of the papers suggest that the toll receptor activity changes when you throw in this N1 methyl pseudouridine. 46:16.440 --> 46:23.327 And we are seeing all these papers that imply that our immune system has somewhat been silenced after vaccination. 46:24.348 --> 46:33.831 And it makes me wonder if that's because as long as this mRNA is floating around, that some of your immune cells are being trained to think that's nothing to worry about. 46:34.411 --> 46:42.054 We've also- So now the immune system is responding to the mRNA that's just hanging around apparently intracellularly or extracellularly? 46:42.094 --> 46:43.494 Where is the mRNA hanging out? 46:43.954 --> 46:47.195 Is it inside of the lipid nanoparticles still or it already came out? 46:48.375 --> 46:49.856 The hell is he talking about? 46:52.415 --> 46:57.866 Again, he's just adding layer after layer after layer of complexity and it's mostly bullshit. 47:00.003 --> 47:15.594 seen this with this IGG4 class shift that goes on where if you keep repeating- The IGG4 class shift is something that so many of these clowns parroted at the time and repeated and then now it's coming back again in his presentation. 47:15.694 --> 47:15.974 Why? 47:16.034 --> 47:17.515 Because it's all his script. 47:17.915 --> 47:25.801 Him and Robert Malone are the only two guys that have enough requisite knowledge to have created this elaborate bullshit script that all these people are on. 47:26.461 --> 47:34.027 exposing someone to the same antigen, your body just starts to think, all right, maybe that's an allergen or that's something that I have to tone my immune system down. 47:34.047 --> 47:36.349 So the next time the virus gets in, it goes rampant on you. 47:37.069 --> 47:40.472 And the people end up having worse results over time if they do, if they repeat this. 47:40.552 --> 47:47.697 I don't have a firm answer on what it does other than I read enough of the literature to know that the monkeying was something somewhat haphazardly here. 47:48.157 --> 47:51.340 I'm sorry, but on Twitter, he has repeatedly 47:52.280 --> 47:54.922 lambasted me for using the word transfection. 47:54.942 --> 48:02.186 He even posted a post with another anonymous account saying, he's so special for using the word transfection. 48:02.606 --> 48:03.907 I was doing transfection. 48:05.568 --> 48:12.612 I was doing transfection in 1998 with Sabatini, says Mr. Kevin McKernan. 48:13.544 --> 48:28.328 but he's calling it a vaccine now in 2024 and still calling it a vaccine in 2025, even though he knows it's a transfection and most of this crap was expected outcomes, likely outcomes in the human population. 48:28.488 --> 48:32.209 Duh, we've been doing it in mice and monkeys for decades. 48:34.768 --> 48:38.171 There's a lot of biology tied in around these methylated bases. 48:38.491 --> 48:45.697 And just flooding the cells with 100% swap of these things, we're in uncharted territory there. 48:45.717 --> 48:47.158 100% swap of these things? 48:47.218 --> 48:48.939 It's only a few RNAs. 48:50.300 --> 48:51.241 You see the magic? 48:51.501 --> 48:53.643 Your cells are full of RNA. 48:54.023 --> 49:00.529 They're doing all kinds of things, maintaining things, all things that we don't understand in irreducible complexity. 49:01.365 --> 49:09.188 And part of that symphony is an ever-ending regulation of RNA transcripts being made, being degraded, la, la, la, la, la. 49:09.528 --> 49:15.450 And then we put a little nanoparticle in there, and all of a sudden, all that RNA's messed up. 49:15.490 --> 49:17.451 Now we got all this pseudo-uridine here. 49:17.491 --> 49:19.011 We're never gonna make anything again. 49:19.911 --> 49:20.632 Stop lying! 49:20.992 --> 49:23.273 It's just so absurd. 49:24.813 --> 49:26.073 It's so absurd. 49:26.093 --> 49:26.133 It... 49:28.044 --> 49:31.145 It borders on really like, you know, come on guys. 49:31.825 --> 49:35.866 I kind of feel like, you know, somebody else should be able to see this besides me. 49:36.867 --> 49:44.669 The only way it's not possible is if every single person on social media that has any reach at all is there by design. 49:47.247 --> 50:02.332 So can, could it, the DNA plasmids, I guess their fraction, or like pieces of them, either those or the mRNA, could they be taken up by bacteria in the body, and could those bacteria, pump out spike protein, more easily. 50:02.793 --> 50:07.474 Could there be a retro integration or whatever event, more easily in the bacteria versus in our own cells. 50:07.894 --> 50:08.495 Just talk about that. 50:09.575 --> 50:12.857 If they were fully intact, perhaps that's a risk. 50:12.897 --> 50:16.199 I don't know that they'll actually express spike protein, but let me walk you through this. 50:16.239 --> 50:20.141 So the lots that we sequence are not notorious lots. 50:20.181 --> 50:24.103 We've looked them up in like how bad is my lot, and they don't seem to have a tremendous number of adverse events. 50:24.123 --> 50:26.364 With the exception of the monovalence, I think Sasha 50:26.584 --> 50:33.226 How bad is our lot is, of course, Sasha Latupova and this Craig Partacoper from the UK. 50:33.266 --> 50:37.807 And now he's going to cite Sasha as having said that these are pretty normal batches. 50:38.247 --> 50:40.568 You know, according to her data, she's pretty smart. 50:40.628 --> 50:44.349 They had found some data in California that suggested they had some elevated adverse response. 50:44.389 --> 50:51.571 But if there are vaccine lots out there that have a bigger DNAase problem, then we don't seem to have a tremendous number of adverse events. 50:51.591 --> 50:55.392 With the exception of the monovalence, I think Sasha had found some data in California that 50:55.452 --> 50:57.533 So Sasha's kind of like JJ, I guess. 50:57.553 --> 50:59.374 You don't even have to say her last name anymore. 50:59.394 --> 51:03.017 You just say JJ, you just say Sasha, and everybody knows who you're talking about. 51:03.437 --> 51:04.177 That's kind of cool. 51:04.338 --> 51:06.479 Suggested they had some elevated adverse response. 51:06.519 --> 51:16.865 But if there are vaccine lots out there that have a bigger DNAase problem than we've seen, and less fragmented, and there's some full-length plasmids in there, those could get into bacteria. 51:17.045 --> 51:20.568 E. coli prefers having circular DNA to heat shock it. 51:21.368 --> 51:22.148 You don't need much heat. 51:22.209 --> 51:25.010 You can get these plasmids into E. coli at 37C. 51:25.530 --> 51:29.613 If you have a slight fever at 38 or 39, that will heat shock into bacteria. 51:30.073 --> 51:42.380 And so what he's saying is that the plasmid, if it was just loose and running around, if it's the circular plasmid and you had a fever, then it could go into the bacteria really easy. 51:44.841 --> 51:45.741 Heat shock it in. 51:46.282 --> 51:48.042 That's how we put it into the bacteria. 51:48.062 --> 51:48.803 We just heat shock. 51:48.823 --> 51:53.765 So if your gut's hot enough, then it'll just go into your gut bacteria because that's the way it works. 51:55.686 --> 51:57.427 That's how transfection would work then. 51:57.487 --> 51:59.268 That's how transformation would work then. 51:59.328 --> 52:00.988 That's how a phage would get through. 52:01.829 --> 52:06.771 And since phages are really good at moving through mucus, then it would be pretty easy for them to do it. 52:09.192 --> 52:37.769 And so all of this story about viruses that infect you, all this story about gain of function viruses being made and released and spilled and traveling around the world just has to absolutely positively ignore all the bacteria and all the phages that are actually the foundation of that genetic background that supposedly these geniuses are pulling a high fidelity signal called SARS-CoV-2 from the background with 52:39.290 --> 52:40.251 99 primer pairs. 52:44.675 --> 52:51.981 Or 106, depending on which test you use, which sequencing set you use. 52:52.101 --> 52:56.225 106 primer pairs to sequence the whole SARS-CoV-2. 52:56.645 --> 53:05.713 And it just pulls this signal away from a background that's irreducibly complex, built of bacterial DNA and RNA and bacterial 53:06.448 --> 53:08.509 phages, DNA and RNA. 53:09.810 --> 53:10.130 Yeah. 53:10.370 --> 53:10.750 Okay. 53:11.030 --> 53:11.770 So here we go. 53:12.091 --> 53:16.593 There's an origin of replication for bacteria on the plasmid that would copy it in a, in a, in a bacteria. 53:17.453 --> 53:19.694 Again, we're talking about very rare events here, but. 53:20.094 --> 53:20.975 SV40. 53:21.055 --> 53:25.797 So he's seeding that narrative right now in the middle of 2024 so that he's ready to do it. 53:25.837 --> 53:30.259 He already started in January of that year, right in front of the Senate talking about this shit. 53:30.339 --> 53:33.780 Let's say there's billions of these molecules around and one of them can do this. 53:33.961 --> 53:42.984 Once it gets into an E. coli cell, if that patient is on antibiotics, that E. coli cell is going to win because it has the selective advantage of staying alive in the presence of antibiotics. 53:43.365 --> 53:50.388 And so now it's an added selected method because not only do you have to get transfected, but then the DNA has to get down in your gut. 53:50.428 --> 53:52.028 Then you have to have a fever. 53:52.408 --> 53:55.370 Then it's going to go into the DNA, the bacteria, and then 53:56.030 --> 54:07.274 And then the presence of antibiotics is going to select for that bacteria because it got the plasmid and the plasmid gives it resistance to antibiotics. 54:07.354 --> 54:13.376 And then magically, your entire microbiome will be transformed into antibiotic-resistant bacteria, I guess. 54:13.876 --> 54:16.037 So you need a couple of lightning strikes for this to happen, right? 54:16.077 --> 54:18.578 You have to have a plasmid around that's fully intact. 54:18.718 --> 54:20.018 You have to get it into a coli. 54:20.038 --> 54:21.579 Just take the one. 54:22.219 --> 54:22.760 Just one. 54:23.380 --> 54:28.706 And if you're patients on antibiotics, like anything that's just one, it's a lot like the prion, right? 54:29.207 --> 54:32.971 Right, Kevin McCarron, just one molecule, it's all it takes and you're done. 54:34.278 --> 54:38.079 an aminoglycoside, then that bacteria is gonna probably take off. 54:38.159 --> 54:52.081 Now, it turns out the vaccine plasmid that's in there doesn't have a COSAC, or I should say, it has a COSAC consensus sequence, which is what is needed for ribosomes to turn this thing into protease in mammalian cells. 54:52.181 --> 54:53.841 It doesn't have the one that bacteria have. 54:53.861 --> 55:01.683 So I think the bacteria would make the RNA, but the RNA wouldn't get turned into protein because it's lacking the right translational signals for that. 55:03.184 --> 55:11.450 Additionally, there is a pathway known as bactofection, where mammalian cells engulf bacteria and eat them, and all of their guts spill out. 55:11.510 --> 55:16.374 And, well, OK, then the third lightning strike, maybe you could get something, a spike protein made. 55:16.414 --> 55:21.117 But we're in this series of three lightning strike events for that to actually happen. 55:21.137 --> 55:24.620 So I think that's probably unlikely and very rare, although 55:26.212 --> 55:30.553 that we're dealing with big numbers, billions of people with billions of these molecules as contaminants. 55:31.114 --> 55:33.494 So could it be happening in one of them? 55:33.735 --> 55:36.656 Billions of people with billions of contaminants. 55:36.996 --> 55:38.716 And so no placebo at all. 55:39.296 --> 55:51.100 The how's your batch data monitored by Sasha is perfectly legit shit, according to the human genome project director, our research and development director. 55:51.200 --> 55:52.401 It's really remarkable. 55:53.061 --> 55:56.402 He is promoting Sasha Latupova, the mother of Soph. 55:58.483 --> 56:02.265 Of the people out there, I don't know. 56:02.285 --> 56:08.507 I know that got a lot of fanfare early on, because when we first sequenced these, we didn't respect how fragmented they were. 56:08.547 --> 56:11.048 We got a full assembly of a plasmid. 56:11.868 --> 56:16.230 And we looked in the sequencing to see paradigm reads that went around the whole circle. 56:16.270 --> 56:19.071 So we assumed that it was full length and intact. 56:19.591 --> 56:23.436 And then the more and more work we did chipping away at this, we realized, now wait a minute, they are in fact fragmented. 56:24.097 --> 56:29.584 And that means there's less likely for the, there's less likely that the full plasmid is going to remain intact. 56:29.704 --> 56:33.489 Wait, you had to work hard to figure out it wasn't just one big plasmid? 56:34.875 --> 56:41.399 That seems pretty remarkable coming from the former Research and Development Director of the Human Genome Project in 2024. 56:42.339 --> 56:46.682 You had to work hard to figure out that there wasn't just one contiguous molecule. 56:47.102 --> 56:55.867 I thought you could just put this shit through a microarray or through a microfluidics or a nanopore sequencing and you get the whole thing right done. 56:58.271 --> 57:01.513 all these stories about how easy it is to do this shit. 57:01.553 --> 57:02.534 And then they did it. 57:02.574 --> 57:05.696 And at first they thought it would, they just assumed that it was the whole plasmid. 57:06.016 --> 57:08.618 But after a lot more work, we figured out that it wasn't. 57:11.079 --> 57:12.000 It's such a joke. 57:13.000 --> 57:15.082 Are you going to sequence some bad batches? 57:16.022 --> 57:17.283 If people can get them to us, we'll do it. 57:17.383 --> 57:17.823 I don't know. 57:17.884 --> 57:18.804 That's the biggest challenge. 57:18.864 --> 57:22.286 Are you going to sequence some of those bad batches that Sasha Latupova found? 57:23.931 --> 57:27.573 which is people having them still maintained and sending them to us. 57:27.613 --> 57:37.257 And right now we've been focusing more on getting other people the capacity to replicate this because enough eggs have been thrown at us thinking that we're like manufacturing all this. 57:38.558 --> 57:45.221 So what we did, and after we sequenced this, we realized this probably won't get reproduced for some time because sequencing these things is more expensive. 57:45.761 --> 57:50.923 So we designed- I thought sequencing was getting so cheap you could do a whole genome for $3,000. 57:52.924 --> 57:56.806 We're talking about what is going, what is he talking about? 57:57.947 --> 58:03.550 How expensive could it be to sequence a pure sample of an RNA in a vial? 58:03.570 --> 58:10.094 Monetated PCR assays and then put those assays public because that can be done for 10 bucks in an hour. 58:10.254 --> 58:11.355 It's very fast and easy. 58:11.375 --> 58:18.819 And there's PCR machines all over the world right now for the COVID PCR pipeline that's been in place and is now a lot of them are actually quite idle. 58:19.662 --> 58:23.123 But by doing that, it enabled a lot of other labs to pick this up and test it. 58:23.143 --> 58:29.164 We had a lab yesterday report some results down in South Carolina where they had access, they got access to a thousand vials from their clinic. 58:29.845 --> 58:34.006 And they just started the process of quantitative PCR using the primers we sent them. 58:34.306 --> 58:35.986 So they send you the primers. 58:36.826 --> 58:39.507 You have to trust that those primers are the primers they get. 58:39.947 --> 58:42.388 They don't let you order the primers? 58:50.183 --> 58:52.184 and they're getting similar CT scores across. 58:52.204 --> 58:53.245 These are CT scores. 58:53.305 --> 58:54.125 Well, no shit. 58:54.425 --> 58:57.947 If you send them all the reagents, no kidding. 58:58.287 --> 58:58.608 Really? 58:58.908 --> 59:03.530 If you send them the microwave popcorn and they follow the directions, they also get popcorn? 59:03.970 --> 59:04.451 Wow. 59:08.021 --> 59:09.522 in the 18 range. 59:10.202 --> 59:18.067 For those not familiar with PCR, during the pandemic, they would probably quarantine you for a CT score of maybe 38. 59:18.467 --> 59:22.189 A CT score of 38 on what protein, Kevin? 59:23.890 --> 59:25.631 Using what controls, Kevin? 59:29.354 --> 59:31.595 And what was the actual amplicon, Kevin? 59:33.629 --> 59:35.470 You know, let's just make sure that's clear. 59:35.490 --> 59:39.232 If you wanted to find this book right here, this is a really weird book, right? 59:40.172 --> 59:45.635 You wanted to find this book and you use primers to find it to say that this book is on my bookshelf. 59:45.695 --> 59:46.635 Look, let's do that. 59:46.695 --> 59:47.236 Let's do that. 59:47.336 --> 59:48.136 Let's go over here. 59:48.156 --> 59:50.237 Oops, not over there. 59:50.677 --> 59:51.338 Let's go over here. 59:52.798 --> 59:54.999 So this book on my bookshelf. 59:55.039 --> 59:56.000 So we'll put it in like this. 59:58.223 --> 01:00:00.144 Now we can screen for two things here, right? 01:00:00.184 --> 01:00:03.526 We could screen for the phrase once upon a time. 01:00:04.967 --> 01:00:10.730 And if we find it and it amplifies rather quickly, then we can say, well, then for sure it's in there. 01:00:15.032 --> 01:00:20.375 Or we could screen for some, something like a, 01:00:25.951 --> 01:00:28.652 In 2072, aliens attacked Earth. 01:00:28.692 --> 01:00:29.053 Oh, no. 01:00:29.153 --> 01:00:32.154 Our peaceful society seemed unprepared, but not the Zephyr. 01:00:33.795 --> 01:00:38.537 That's one of the first sentences in the beginning of this target. 01:00:38.717 --> 01:00:41.278 And the amplicon would just be page one. 01:00:42.499 --> 01:00:49.622 And if we find page one, then we can reasonably assume that this comic book is on my bookshelf. 01:00:49.682 --> 01:00:55.345 Now, would it be better to use welcome to the future, the very first words on this thing? 01:00:56.907 --> 01:01:07.850 Um, would it be very, would it be look for more information about characters in our story or, um, our peaceful society seemed unprepared, but not the Zephyr. 01:01:07.910 --> 01:01:12.431 Most people think he's just a blue costume crime fighter, but he's a been a surprising help. 01:01:13.511 --> 01:01:22.033 If we use primers to find that sentence, I'm pretty confident that those primers would not find any of those books on the shelf. 01:01:23.277 --> 01:01:31.713 But if we used the primers that would find the sentence, welcome to the future, the primers would be welcome and future. 01:01:31.773 --> 01:01:35.741 And there might be lots of sentences over here that would give you a false positive. 01:01:39.409 --> 01:01:55.354 If I wanted to select another paragraph from here, I could select paragraphs that would, you know, be good and paragraphs that wouldn't be very good because they would be specific for this book because they would use terms and combinations of words that were very specific to this story. 01:01:56.095 --> 01:01:59.516 Or I could choose sentences that didn't do that. 01:01:59.616 --> 01:02:02.857 Like, they reduced water pollution. 01:02:04.673 --> 01:02:11.359 If I chose that, then you could imagine they reduced water pollution as a sentence that could resemble a sentence in a lot of those books. 01:02:14.882 --> 01:02:18.746 But not if I use a sentence where Jotifari have always lived beneath our oceans. 01:02:18.786 --> 01:02:23.730 They can slowly breathe oxygen, but they have wet gills, webbed feet, and a gracefully strong tail. 01:02:26.393 --> 01:02:28.534 And so when he says that people were 01:02:29.873 --> 01:02:32.295 Oops, I probably have to do that again and then that again. 01:02:32.475 --> 01:02:50.029 If he says that people are, are 38, cycle 38 positive, but doesn't tell you what, what proteins he's talking about, then he's absolutely positively admitting what I've been arguing for the last four years. 01:02:50.569 --> 01:02:57.855 The PCR test is just misconstruing an irreducibly complex background into a high fidelity signal, which it is not. 01:02:58.703 --> 01:03:10.019 And one of his primary jobs over the course of the pandemic was to make sure that that narrative about PCR being a useful diagnostic was never usefully questioned. 01:03:10.159 --> 01:03:15.186 And make no mistake about it, usefully questioning it is not challenging the cycle count. 01:03:16.377 --> 01:03:18.598 That's a bullshit hamster wheel. 01:03:33.107 --> 01:03:41.129 Neither live nor dead is a narrative that he told me in my live stream a couple weeks before Rixie came to my house. 01:03:41.589 --> 01:03:52.731 That there are viral technologies called live dead technologies that could be combined with PCR so that we wouldn't be, you know, getting a bunch of false positives with people that don't have any live virus. 01:03:52.831 --> 01:03:57.592 And in 2024, three years later, he's going to say the same bullshit line again. 01:03:59.173 --> 01:04:00.893 is that's outside your mucosal barrier. 01:04:00.914 --> 01:04:01.634 That's not a big deal. 01:04:01.714 --> 01:04:02.694 It could be dead virus. 01:04:02.934 --> 01:04:07.615 But now we're talking about a DNA contaminant that shouldn't be there, but it's being directly injected to you. 01:04:07.715 --> 01:04:12.417 And it's a million fold higher concentration than what they're quarantining you for the virus. 01:04:12.857 --> 01:04:16.158 There's a huge difference here in terms of the scale of what's going on. 01:04:16.258 --> 01:04:21.159 There's a tremendous amount, a million, one to two million molecules per microliter probably. 01:04:21.499 --> 01:04:27.201 So there's so much more in an injection than there is when you're infected by the virus. 01:04:27.341 --> 01:04:28.241 Imagine that. 01:04:29.991 --> 01:04:31.212 That's no big deal to him. 01:04:31.232 --> 01:04:32.413 It's okay. 01:04:33.053 --> 01:04:34.394 It must be crazy then, right? 01:04:34.434 --> 01:04:43.340 Because if the virus can kill people with a fraction of, you know, orders of magnitude less signal, it can kill people. 01:04:44.981 --> 01:04:52.225 And it's the most contagious virus ever because of four amino acids called a fear and cleavage site or 19. 01:04:54.767 --> 01:04:55.548 in these vaccines. 01:04:56.068 --> 01:04:59.031 Now, could that vary another hundredfold, another lot? 01:04:59.051 --> 01:04:59.832 Yeah, it probably can. 01:04:59.872 --> 01:05:11.904 The lowest CT score we saw was when I think Simon Godek and Dr. Randall Baugh came to our- Simon Godek is a paid ex-account. 01:05:13.240 --> 01:05:18.165 that works with these guys and has worked with them so long that he blocked me last year. 01:05:18.365 --> 01:05:20.787 Simon Godek, the guy with the beer glass. 01:05:21.328 --> 01:05:23.330 That guy is faker than a box of rocks. 01:05:23.370 --> 01:05:26.093 He's just like the vigilant fox. 01:05:26.793 --> 01:05:29.196 It's the same malevolent show. 01:05:30.856 --> 01:05:34.137 lab and I had them set up the PCR and the vaccine vials. 01:05:34.157 --> 01:05:39.559 We picked one of the vials out of a pack that we have and they were getting numbers in the 15 to 16 range. 01:05:40.660 --> 01:05:42.620 So there are some vials out there that vary. 01:05:43.200 --> 01:05:48.002 Another, what is that, two to three CTs, it's almost tenfold more in some of the vials. 01:05:48.062 --> 01:05:51.183 We do need to survey other lots, particularly the lots that have adverse events. 01:05:51.263 --> 01:05:55.345 Maybe this is because they have either more endotoxin or more plasma DNA and 01:05:55.905 --> 01:05:58.006 they're resulting in more anaphylaxis. 01:05:58.287 --> 01:06:07.052 More and more complicated, more and more complicated when it's intramuscular injection of any combination of substances with the intent of augmenting a healthy human is dumb. 01:06:07.833 --> 01:06:09.214 Dumb as a box of rocks. 01:06:09.314 --> 01:06:10.875 Another thrombolytic type of activity. 01:06:12.381 --> 01:06:16.683 Okay, I have hopefully one more kind of like question slash subject. 01:06:16.903 --> 01:06:18.084 Listen carefully. 01:06:18.104 --> 01:06:28.189 And I would actually love to have somebody really well versed in this debate, somebody else who's on the other side of this, which is do viruses exist? 01:06:28.349 --> 01:06:29.650 So I think viruses exist. 01:06:29.910 --> 01:06:34.433 It just seems to make sense from my lived experience that this is a story that makes sense. 01:06:34.493 --> 01:06:36.854 And I studied a little bit about viruses in med school. 01:06:37.274 --> 01:06:38.035 All that being said, 01:06:38.835 --> 01:06:48.563 I still don't know enough to like if I go down the rabbit or start going down the rabbit hole of all these blogs and stuff and people writing about all the reasons why they think viruses don't exist. 01:06:49.163 --> 01:06:54.847 I'm not really equipped to argue against them I like I don't understand the flaws in their reasoning or the holes in their arguments right. 01:06:55.328 --> 01:06:57.249 Could you maybe give a 01:07:00.077 --> 01:07:02.998 Steel man, the viruses don't exist argument, if possible. 01:07:03.058 --> 01:07:04.278 Yeah, I'll do my best. 01:07:04.918 --> 01:07:07.318 They may critique me as not doing them fair justice. 01:07:08.479 --> 01:07:10.979 So I think there's a couple of different themes here. 01:07:11.239 --> 01:07:14.480 There's the folks who say coronavirus pandemic didn't exist. 01:07:14.600 --> 01:07:18.081 And that doesn't mean that there isn't an RNA that's traveling the globe causing some sickness. 01:07:18.201 --> 01:07:22.741 A lot of people will point to Denny's work and be like, look, no virus was here. 01:07:22.782 --> 01:07:24.682 It was all government-made death. 01:07:25.882 --> 01:07:32.405 But I think as a physician and myself having actually been sick with this and seen it go through my household, there is some kind of RNA that can hop person to person. 01:07:34.066 --> 01:07:38.227 And that we can sequence in every person and it tracks with some level of disease. 01:07:39.428 --> 01:07:46.971 I think there's really fair debates on the side that some of the terrain and no virus folks will bring up that not everyone gets sick with this thing. 01:07:47.271 --> 01:07:53.614 You have people out there that don't get sick from this RNA being around, therefore you have not fulfilled Koch's postulate because you should have everyone get sick. 01:07:54.674 --> 01:08:02.261 I can see that being a some people are better vitamin D, whatever, they're younger, they're not as at risk, so they manage the virus and get rid of it without any concern. 01:08:02.301 --> 01:08:10.769 But one thing I am confident of from everything I've read is that this RNA exists, you can capture it, you can sequence it, you can move it to other cells and recapitulate disease. 01:08:16.255 --> 01:08:24.319 And just like that, just like that, Kevin McKernan addressed everything that I've been saying for the last three years in one little statement. 01:08:24.359 --> 01:08:25.460 There is an RNA. 01:08:26.340 --> 01:08:29.922 You can sequence it and you can put it places and it does stuff. 01:08:33.090 --> 01:08:44.380 All of these people were put in place to make sure that any damage from transfection could be blamed on the virus and the spike protein because this is a continuation of the Human Genome Project. 01:08:44.420 --> 01:08:48.423 It is the next phase of the Human Genome Project where a 01:08:49.324 --> 01:08:56.552 A remnant stream of PCR testing is used to sample from everyone and anyone they can as often as possible. 01:08:57.092 --> 01:09:07.123 One of the best things they did in 2020 and 21 was sample repeatedly from all the young college kids in America that we didn't have the wherewithal to keep home for a couple years. 01:09:08.578 --> 01:09:09.779 And that was by design. 01:09:09.859 --> 01:09:27.726 That was one of the main reasons why these people had to be out there to make sure that there was enough confusion and frustration and doubt that those kids would go back to college and be at the willy nilly, you know, at the mercy of those horrible places and test repeatedly. 01:09:28.747 --> 01:09:34.649 And Kevin McKernan and Claire Craig and Jessica Rose and Meryl Nass and Robert Malone did shit all about it. 01:09:35.410 --> 01:09:36.390 They made it happen. 01:09:39.434 --> 01:09:43.075 That's the reason why there's a fake anti-vax movement in America. 01:09:43.175 --> 01:09:47.016 It is a recycling of a fake anti-vax movement in the UK. 01:09:48.136 --> 01:09:52.297 It is a recycling of a fake anti-vax movement in the UK. 01:09:53.197 --> 01:09:57.398 And they stood in front of Brandy Vaughn the same way they're standing in front of me now. 01:09:58.118 --> 01:10:05.460 The only question is, I guess, and it's going to be in 9-11-2025 when I finally put a shotgun in my mouth, according to Kevin McCarran. 01:10:07.332 --> 01:10:09.474 This history is real, ladies and gentlemen. 01:10:09.974 --> 01:10:14.378 That's the reason why Suzanne Humphreys is in front of us and on Joe Rogan in the last month. 01:10:15.759 --> 01:10:29.751 Because our consciousness is their prime real estate and they put these liars in place of people like Brandy Vaughn and myself, in place of people like Mark Kulak who are trying to characterize and cover this. 01:10:30.171 --> 01:10:31.212 Yeah, very much so. 01:10:31.873 --> 01:10:32.213 I see. 01:10:32.373 --> 01:10:33.715 So yeah, so let's just jump right in. 01:10:34.588 --> 01:10:38.190 So I wanted to talk a little bit about the Wuhan coronavirus outbreak. 01:10:38.871 --> 01:10:54.420 I wanted to start with an episode of interview you did a couple of weeks ago on The High Wire with Del Bigtree, in which you gave, you used science and facts to make a strong case that the coronavirus was lab created, not a naturally occurring organic permutation of a prior virus. 01:10:54.920 --> 01:10:59.663 But your stance and position seems to have changed a little bit after that. 01:11:00.063 --> 01:11:02.625 Can you just explain, you know, what new facts have you learned? 01:11:03.292 --> 01:11:04.733 what has changed since then? 01:11:05.654 --> 01:11:05.894 Sure. 01:11:05.974 --> 01:11:10.016 So the public needs to understand the difference between laboratory origin and man-made, right? 01:11:10.097 --> 01:11:23.785 So the question of where this virus came from was supposed to be answerable by looking at the sequences, the genetic sequences. 01:11:24.906 --> 01:11:32.651 And in the original publication, there was a missing, there was a segment of the genome that 01:11:32.932 --> 01:11:36.435 that the original authors couldn't seem to place. 01:11:37.055 --> 01:11:37.695 They didn't know. 01:11:37.816 --> 01:11:39.056 Did he say genome? 01:11:40.758 --> 01:11:42.359 Did he really say genome? 01:11:43.099 --> 01:11:45.601 Like these people are actors. 01:11:45.921 --> 01:11:46.622 Where it came from. 01:11:47.503 --> 01:11:54.628 And a second peer review publication also could not find a match to any known sequences. 01:11:55.588 --> 01:11:56.629 And this was strange. 01:11:59.271 --> 01:12:01.853 So they called it the middle fragment. 01:12:03.428 --> 01:12:12.910 So my analysis of the middle fragment was a careful analysis and it led to the discovery that this middle fragment matched what was called P-shuttle SN. 01:12:12.970 --> 01:12:21.892 P-shuttle SN is a vector technology, it turns out, that was derived from a P-shuttle vector that was created in 1998. 01:12:22.413 --> 01:12:30.834 The P-shuttle SN was the only match that I could find this to, along with some spike proteins, but it was 67% or so similar. 01:12:34.278 --> 01:12:59.500 given all the data that we had at the time, it seemed like we had found something of a match between a vector technology and the... A vector technology, meaning it was a commercially derived sequence, which I guess could be used in bacterial culture and the manufacture of biologics. 01:13:00.320 --> 01:13:02.062 The novel coronavirus, you know, 01:13:02.734 --> 01:13:03.134 fragment. 01:13:03.514 --> 01:13:08.035 It seemed almost as if there was a leftover piece of the vector technology. 01:13:08.935 --> 01:13:16.077 So moving forward then, as science does, the question is, how do we test this hypothesis? 01:13:17.077 --> 01:13:29.820 And the way you test a hypothesis is to try to design a critical test that if the critical test fails, then we can falsify 01:13:30.436 --> 01:13:34.339 hypothesis and say that we have not corroborated the hypothesis. 01:13:34.679 --> 01:13:41.985 So to take this approach to science then, I had to think about the best way that we could really truly critically test this. 01:13:42.065 --> 01:13:47.289 And phylogenetics is a useful tool that I can make the prediction. 01:13:48.630 --> 01:13:58.557 If given all the coronavirus spike proteins that we have data for in the database, if P shuttle is most closely related to 01:13:59.724 --> 01:14:02.866 the SARS-CoV-19 coronavirus. 01:14:03.706 --> 01:14:08.568 SARS-CoV-19, COVID, you know, the way that Robert Malone pronounced it. 01:14:08.588 --> 01:14:10.069 This is all a script. 01:14:10.829 --> 01:14:18.573 This guy was scripted at the beginning of the pandemic because he is part of this fake anti-vax movement and was part of it back when Brandy Vaughn was still alive. 01:14:20.554 --> 01:14:25.977 And here he is on a Chinese, American-based Chinese podcast 01:14:28.089 --> 01:14:33.070 Yeah, talking about his recent interview with Del Bigtree in February of 2020. 01:14:33.150 --> 01:14:41.732 Then we can say, yes, there seems to be a strong link. 01:14:43.613 --> 01:14:55.756 Or if this P Shuttle SN clusters with other kinds of coronaviruses more strongly, then that would tell us, well, this is probably not related. 01:14:56.505 --> 01:15:03.209 And so to the person first time in the chat, Jay, why would they create the pandemic to get lots of genetic samples from college kids? 01:15:03.249 --> 01:15:05.730 Why not just offer them $50 a week for nose swabs? 01:15:06.250 --> 01:15:07.791 Many of them would take them up on that. 01:15:07.851 --> 01:15:09.112 That is absolutely true. 01:15:09.752 --> 01:15:12.554 But this is a many layered plan. 01:15:12.594 --> 01:15:15.896 It's a, you know, how many birds with this stone can we get? 01:15:16.576 --> 01:15:21.480 And I haven't even dropped the biggest bomb yet that I think I kind of, I think it's real. 01:15:21.580 --> 01:15:26.443 I think it's actually, it's just been one malevolent show since Obama. 01:15:27.924 --> 01:15:31.847 It's just been one malevolent show since H.W. 01:15:31.907 --> 01:15:38.932 Bush, since George Bush, since Bill Clinton, since Barack Obama, since Trump, since Biden, since Trump. 01:15:39.052 --> 01:15:39.973 It's all the same show. 01:15:41.488 --> 01:15:49.274 And the engagement in the idea that Trump is an outsider is exactly the trap that they have put conservative America in. 01:15:52.457 --> 01:15:54.399 Because they don't like conservative America. 01:15:54.459 --> 01:15:58.002 Conservative America has higher powers that they answer to. 01:15:58.971 --> 01:16:13.799 Conservatives all over the world have higher powers that they answer to, higher moral standards that they hold themselves to, a higher level of responsibility for their own actions and their own lives are taken by people on the conservative side. 01:16:13.819 --> 01:16:17.480 So all of these people of our ruling class hate us. 01:16:20.282 --> 01:16:27.746 And so they have put in place a fake anti-vax movement that is part of a left-wing democratic 01:16:30.660 --> 01:16:31.721 Nonsense movement. 01:16:31.761 --> 01:16:33.723 It's not a real conservative movement. 01:16:33.763 --> 01:16:36.306 And they're all laughing because they're all on the same team. 01:16:38.168 --> 01:16:45.196 Bill and Hillary Clinton are on the same team as Donald Trump, as Obama and Biden, as Bannon. 01:16:46.497 --> 01:16:47.258 They're all the same. 01:16:48.527 --> 01:17:00.737 And they think that it's really funny that we engage in this elaborate theater, that we really think that Donald Trump is coming to our rescue as he does nothing, nothing that would signal that. 01:17:04.760 --> 01:17:13.067 And it's, if you see it as one contiguous track record, it's really almost remarkable what they've been able to accomplish from Biden to Trump. 01:17:13.747 --> 01:17:15.589 I mean, sorry, from Obama to Trump. 01:17:16.109 --> 01:17:17.010 It's remarkable. 01:17:19.187 --> 01:17:34.353 I undertook that analysis and I found that the P-Shuttle SN actually clustered with the SARS coronavirus cluster that was related to a genomics project, I think at Guangdong, as well as a cancer center project. 01:17:35.334 --> 01:17:41.396 And it seems as though it was either used there or it was derived from them. 01:17:42.917 --> 01:17:48.799 And so we can rule out that P-Shuttle SN was involved in the development of 01:17:49.804 --> 01:17:51.485 SARS-CoV-19. 01:17:52.986 --> 01:17:57.808 But it doesn't rule out other vectors as potentially being used. 01:17:58.208 --> 01:18:01.169 And so I made sure to include all the other artifacts. 01:18:01.229 --> 01:18:08.393 I mean, I don't even know if I answered your question, to be honest, because I think the reason why they didn't pay college kids is because this is about their kids. 01:18:09.269 --> 01:18:14.814 So the idea is that the kids that went to college during the coronavirus are going to have kids. 01:18:15.395 --> 01:18:18.257 If they went to college during the pandemic, they're going to have kids. 01:18:18.317 --> 01:18:20.780 And the ones that do have kids have to be 100% 01:18:23.643 --> 01:18:31.905 for this idea that medicine needs to genetic screening like what Kevin McKernan said in that video in 2017. 01:18:32.386 --> 01:18:47.190 The future of medicine is requiring on a trial by trial basis that everybody be genetically screened and that you only look at a genetically homogenous subset of people so that you at least understand a little more about how your drug works. 01:18:49.131 --> 01:18:50.671 Official spike proteins. 01:18:51.793 --> 01:19:06.966 that I had the data for, and none of them clustered with SARS-CoV-19, which means that none of the data that we have right now supports a vector origin of the virus. 01:19:10.129 --> 01:19:12.471 Okay. 01:19:13.071 --> 01:19:18.336 Now, something happened along the way that I think is a very lucky 01:19:19.894 --> 01:19:29.500 set of circumstances, because this analysis exonerates any of the published sequences as being a source that were in the lab. 01:19:30.321 --> 01:19:34.464 It doesn't mean that it didn't come from an accidental laboratory release of a natural virus. 01:19:34.524 --> 01:19:35.824 It doesn't mean that it did. 01:19:36.385 --> 01:19:42.529 What it means is that we can say that there doesn't seem to be a fingerprint of mankind on this virus at this time. 01:19:44.750 --> 01:19:47.752 Then we undertook a further analysis to see, okay, 01:19:48.766 --> 01:20:01.630 Is there a characteristic signature in the functional motifs of the protein, the spike protein, in SARS coronavirus 19? 01:20:02.690 --> 01:20:17.335 And if there is a difference in the functional motif patterns in SARS coronavirus 19, are there any other sequences in the databases that we have that have that functional motif pattern? 01:20:18.220 --> 01:20:21.921 And that functional motif pattern may well be a signature of pathogenicity. 01:20:22.981 --> 01:20:38.066 And so having noticed that the SARS-CoV-19 motif pattern at the protein analysis level was different than SARS, it gave us what could be a signature of pathogenicity. 01:20:38.626 --> 01:20:45.608 And so we downloaded all of the protein sequences for a spike protein to try to see 01:20:46.252 --> 01:20:48.052 if in fact there was any kind of a match. 01:20:48.793 --> 01:20:55.034 Now this work is under peer review and I have permission from the journal that's reviewing it to publish the paper. 01:20:55.054 --> 01:21:00.595 I've submitted the paper to an archive to see if they'll publish it ahead of peer review. 01:21:05.476 --> 01:21:11.838 What we found was really exciting because some Chinese scientists way back in 2005 01:21:13.695 --> 01:21:17.837 actually published a study of three sequences from coronavirus. 01:21:19.038 --> 01:21:24.561 And scientists at North Carolina University in the United States downloaded 01:21:25.831 --> 01:21:28.633 those sequences along with a fourth sequence. 01:21:28.713 --> 01:21:29.694 So really weird, right? 01:21:29.734 --> 01:21:30.835 Then they can build it. 01:21:31.495 --> 01:21:39.481 And now you see the James Lyons Weiler is seeding in the early 2020, the narrative that the United States is responsible for it. 01:21:39.521 --> 01:21:41.923 And lo and behold, in 2025, here we are. 01:21:42.403 --> 01:21:44.125 China says it's us. 01:21:44.645 --> 01:21:46.246 China says it was Fort Detrick. 01:21:47.427 --> 01:21:50.449 Kim Iverson is doing coverage of a Fort Detrick leak. 01:21:50.790 --> 01:21:52.091 I guess it could be America. 01:21:52.411 --> 01:21:54.853 Maybe we'll have to burn the whole place down after all. 01:21:55.333 --> 01:22:06.725 Maybe the rest of the world should just consider America a lost cause after all, and we can reorganize it under a global governance system where we share all the data across borders. 01:22:11.430 --> 01:22:13.812 And you don't believe me, I'm sure. 01:22:14.914 --> 01:22:16.856 Most people don't, but it's the truth. 01:22:18.155 --> 01:22:25.499 And if you like what you see and you think this needs to be supported, please go to gigahomebiological.com and find a way to support the stream. 01:22:27.941 --> 01:22:29.441 We really do need help right now. 01:22:29.521 --> 01:22:31.943 We have the lowest number of subscribers we've ever had. 01:22:33.264 --> 01:22:39.727 And some people can't, the people that have been supporting the stream can't support us forever the way they have. 01:22:40.368 --> 01:22:42.269 And so we either need new people to step up 01:22:43.669 --> 01:22:46.531 and start, you know, supporting in a pretty significant way. 01:22:46.591 --> 01:22:50.654 Or we need a lot more little subscribers, which I would much rather have. 01:22:50.734 --> 01:22:54.497 So if you're not there yet, please go to GigaOM Biological and find a way. 01:22:54.517 --> 01:23:06.425 I just got word that my gym is going to be open today, that they have power. 01:23:07.392 --> 01:23:10.494 and the owner of the gym just shared with me that. 01:23:11.715 --> 01:23:16.739 I think I'm going to cut it short here, although I have a whole nother video coming. 01:23:17.539 --> 01:23:19.241 Ladies and gentlemen, my name is Jonathan Cooey. 01:23:19.281 --> 01:23:21.162 I'm the chief biologist at Gingo Home Biological. 01:23:21.182 --> 01:23:25.065 I come to you live every day, Monday through Friday, somewhere between 10 a.m. 01:23:25.105 --> 01:23:25.565 Eastern and 12 p.m. 01:23:25.625 --> 01:23:25.906 Eastern. 01:23:28.327 --> 01:23:30.428 That's a two hour window, although it doesn't sound like it. 01:23:31.628 --> 01:23:33.388 And I hope you'll join me tomorrow. 01:23:34.469 --> 01:23:45.531 I presented to Panda before, but actually most of my work is now being misrepresented and diluted on a sub stack called, let me blank that out, Woodhouse 76. 01:23:45.911 --> 01:23:46.831 You can see that up there. 01:23:47.292 --> 01:23:53.313 Actually, Jessica Hockett and Mike Eden just collaborated on a vaccine related project. 01:23:53.893 --> 01:24:01.317 Don't know article that can't really say it as succinctly as we say it here, but that's okay because that's their job They're supposed to argue with Claire Craig. 01:24:01.337 --> 01:24:18.307 They're supposed to argue with Pierre Corey They're supposed to absorb my ideas and dilute them and then make it seem like it's their own they're even supposed to absorb my friendships, you know, and she pretends like Jay Bhattacharya is blocking me and I should be having a conversation with him because I'm a really important wife of a restaurateur in Chicago 01:24:20.689 --> 01:24:25.393 Anyway, Jay Bhattacharya is my buddy and he's not talking to me because he's on script. 01:24:26.393 --> 01:24:32.237 Robert Malone was a former, sorry, I said Robert Malone because Robert Malone is standing behind that guy. 01:24:32.258 --> 01:24:36.681 The Secretary of Health and Human Services, Robert F. Kennedy Jr. 01:24:36.741 --> 01:24:38.222 used to be my boss for like a year. 01:24:38.682 --> 01:24:54.086 Right after that, it was Brian Hooker and Mary Holland at the CHD, Children's Health Defense, that I now consider just to be a sabotaged organization, a fake anti-vax movement that perpetuated the mythology of autism long enough to get 01:24:54.566 --> 01:24:55.787 Robert F. Kennedy Jr. 01:24:55.867 --> 01:25:01.249 somewhere close to power so that he could just be a part of this ridiculous show. 01:25:01.669 --> 01:25:13.795 That's the reason why this DNC former Obama administration employee and this DNC and the guy that went to the Clinton wedding 01:25:15.028 --> 01:25:17.769 is the president because it's all one show. 01:25:18.490 --> 01:25:19.750 Thank you very much for being here. 01:25:19.810 --> 01:25:24.292 This is the High Resistance Low Noise Information Brief brought to you by a biologist. 01:25:24.732 --> 01:25:30.095 I'm gonna play this out and I'm just gonna save what I had for tomorrow. 01:25:30.135 --> 01:25:31.655 I think that's the best way to do it. 01:25:32.496 --> 01:25:33.436 Don't be disappointed. 01:25:34.517 --> 01:25:38.378 I gotta go answer the mail and find Beaterhead. 01:25:39.259 --> 01:25:40.199 There's Beaterhead. 01:25:40.339 --> 01:25:41.480 Thank you very much, guys. 01:25:41.500 --> 01:25:42.100 See you soon. 01:25:48.092 --> 01:25:49.073 I will be here tomorrow. 01:25:49.173 --> 01:25:50.093 I will be here all week. 01:25:50.633 --> 01:25:52.134 We're going to keep this streak going. 01:25:52.654 --> 01:25:54.696 I might not do all the weekends are hard. 01:25:54.716 --> 01:25:57.397 The weekends are hard. 01:25:57.517 --> 01:25:58.478 I don't know how to say it. 01:25:58.498 --> 01:26:02.400 I want to do weekends, but it's always it requires everybody in the house. 01:26:03.829 --> 01:26:15.092 It requires everybody in the house and mostly my wife to make a lot of sacrifices that when the kids are at school, or at least two of the three kids are at school, it's a little easier to make those adjustments, but on the weekend it's hard. 01:26:16.592 --> 01:26:23.994 We got three very active kids, two very active dogs, six very active chickens, and so the weekends are busy. 01:26:25.214 --> 01:26:26.875 But thank you very much for being here. 01:26:27.015 --> 01:26:33.299 Again, I don't like begging, but if you can support the stream, please try and do it. 01:26:34.420 --> 01:26:35.721 There's going to be a lot more output. 01:26:35.761 --> 01:26:38.543 There's going to be a lot more deliverables coming very soon. 01:26:40.484 --> 01:26:47.589 It's just a question of time and trying to keep up with this flood of information and still try to expose it while it's visible. 01:26:48.110 --> 01:26:50.972 I think that's really important to expose it while it's visible. 01:26:51.012 --> 01:26:54.074 Kevin McKernan is not always going to be dancing. 01:26:54.134 --> 01:27:08.024 If you search on PubMed, I'm sorry, on the internet right now, you just go on the internet and you go to YouTube and you search for Kevin McKernan, it is 01:27:11.410 --> 01:27:12.728 It is remarkable. 01:27:13.539 --> 01:27:13.899 Okay? 01:27:14.240 --> 01:27:14.940 Remarkable. 01:27:15.140 --> 01:27:19.764 Kevin McKernan is everywhere on the internet right now. 01:27:20.264 --> 01:27:21.605 And it's really, really bad. 01:27:22.245 --> 01:27:22.586 Okay? 01:27:22.666 --> 01:27:23.606 It's really, really bad. 01:27:23.666 --> 01:27:30.211 Because him and Robert Malone are essentially the narrative curators behind all of these people. 01:27:30.992 --> 01:27:35.014 And it is the reason why Jay Bhattacharya is where he is. 01:27:35.074 --> 01:27:37.476 It's the reason why Robert F. Kennedy Jr. 01:27:37.516 --> 01:27:38.117 is the way he is. 01:27:38.157 --> 01:27:40.258 And it's the reason why we're still injecting kids. 01:27:40.578 --> 01:27:41.219 Thank you very much.