WEBVTT 00:22.093 --> 00:24.755 Bird flu has been circling the globe for decades. 00:25.275 --> 00:33.862 So the discovery in 2024 that the deadly pathogen had jumped from a wild bird to a cow came as a shock to virus watchers. 00:34.542 --> 00:40.687 Now, in just over a year, the virus has ripped through America's dairy herds and poultry flocks. 00:41.207 --> 00:43.809 It has jumped to other mammals, including humans. 00:44.850 --> 00:46.471 70 Americans have caught the virus. 00:46.851 --> 00:47.852 One has died. 00:48.653 --> 00:50.674 Long feared as a possible pandemic, 00:51.144 --> 01:05.070 Doctors and veterinarians fighting the virus told us Biden's government was slow to act, while the Trump administration has now laid off more than 100 key scientists, all as the virus keeps spreading. 01:06.951 --> 01:08.912 The story will continue in a moment. 01:08.932 --> 01:09.972 Sounds exciting, doesn't it? 01:12.513 --> 01:20.517 At present, we're given a stick, and they put a blindfold on us, and we're sent into a gunfight, and we're losing. 01:21.852 --> 01:22.533 we are losing. 01:23.736 --> 01:29.628 Veterinarian Dr. Kay Russo told us we are running out of time to stop bird flu. 01:31.184 --> 01:37.410 She was called in when the virus, H5N1, hit this dairy herd in Colorado last summer. 01:38.090 --> 01:42.755 It cost the farm about $400,000 to treat its sick cattle. 01:43.235 --> 01:44.396 Wow. 01:44.757 --> 01:47.459 Some protective gear. 01:47.619 --> 01:47.960 Yep. 01:48.800 --> 01:47.960 $400,000. 01:49.841 --> 01:52.804 We didn't bring anything onto the farm ourselves. 01:52.924 --> 01:53.705 There's no front or back. 01:53.725 --> 01:54.526 There's no front or back. 01:54.666 --> 01:55.567 It's high fashion. 01:55.767 --> 01:56.708 It's real high fashion. 01:57.662 --> 02:04.030 It's not clear how bird flu is spread from cow to cow, but milking equipment is a prime suspect. 02:04.851 --> 02:09.497 The virus is thought to linger on the auto milker, waiting for the next cow. 02:09.777 --> 02:10.458 The virus. 02:10.478 --> 02:13.662 Workers here in milking parlors have also fallen sick. 02:14.383 --> 02:16.586 So what concerns you the most? 02:17.079 --> 02:19.822 the pandemic potential for a virus like this one. 02:20.523 --> 02:23.186 And, you know, that is the worst case scenario, right? 02:23.407 --> 02:25.229 And ultimately one we want to avoid. 02:25.589 --> 02:28.833 I can't say that that's going to happen, but we don't want to play with fire. 02:29.730 --> 02:33.651 The worst case scenario, ladies and gentlemen, the worst case scenario. 02:33.771 --> 02:36.632 Cows were suffering from a mysterious disease. 02:37.152 --> 02:40.193 Their fevers... This was like three days ago. 02:40.213 --> 02:42.774 They were coughing, drooling, lethargic. 02:43.474 --> 02:46.275 Soon, there were more sick cattle in neighboring states. 02:46.915 --> 02:51.636 Kay Russo joined a conference call of worried vets to try to figure it out. 02:52.156 --> 02:53.416 I started asking questions. 02:53.837 --> 02:55.317 What are the birds doing on the farm? 02:55.737 --> 02:58.858 And one of the veterinarians replied, well, they're all dead. 02:59.352 --> 03:02.353 So they're seeing dead birds on the farms. 03:02.413 --> 03:02.613 Yep. 03:02.753 --> 03:06.834 You know, we started to see the cats that were demonstrating neurologic symptoms. 03:07.634 --> 03:11.635 And more alarmingly... Neurologic symptoms. 03:11.735 --> 03:13.816 It's the cat flu from the Simpsons. 03:14.076 --> 03:14.796 Oh my gosh. 03:14.836 --> 03:21.018 To confirm Russo's worst fears, H5N1 had jumped to cattle for the first time. 03:21.598 --> 03:25.579 In past outbreaks, bird flu has often been deadly in people. 03:26.229 --> 03:30.992 If you look at cases worldwide of H5 influenza, the mortality rate's 50%. 03:32.513 --> 03:36.676 And so we're all kind of, you know, talking to each other, what does this mean? 03:37.497 --> 03:40.039 And that was a scary space to be in. 03:40.885 --> 03:46.952 Despite the urgency, Russo and other vets told us the Biden administration was slow to act. 03:47.693 --> 03:49.134 Oh, a month before the you. 03:49.155 --> 03:50.876 So this is supposed to be in 2024. 03:51.257 --> 03:53.059 And now we're in 2025. 03:53.119 --> 03:54.380 And she's even more worried. 03:54.421 --> 03:56.283 That's that's what we're actually seeing here. 03:56.323 --> 03:56.823 Wow. 03:56.923 --> 03:57.404 Impressive. 03:57.804 --> 03:59.146 US Department of Agriculture. 03:59.454 --> 04:06.898 required cows to be tested before interstate travel and 10 months before a raw milk testing program was launched. 04:07.538 --> 04:11.540 Today, some states test weekly, some hardly at all. 04:11.740 --> 04:13.581 A raw milk testing, right? 04:13.601 --> 04:16.483 Because it's not in pasteurized milk, it's in raw milk. 04:17.363 --> 04:21.666 Do we have enough information about how this virus is spreading? 04:22.506 --> 04:23.447 I would say today, no. 04:24.347 --> 04:25.888 And that comes down to 04:27.165 --> 04:36.169 Boots on the ground where you have a strike force that comes in the middle of an outbreak and it just starts collecting data. 04:36.729 --> 04:38.450 Oh wow, that's awesome. 04:38.490 --> 04:42.471 A strike force that comes in in the middle of the night and just starts collecting data. 04:42.491 --> 04:45.913 Like they break your back door open and they start swabbing your kids. 04:47.733 --> 04:51.715 Russo told us at the moment, the virus has the upper hand. 04:52.515 --> 04:53.636 I think it's a numbers game. 04:54.693 --> 05:01.396 And the more we let it move unchecked, the more likely we're going to have even a bigger mess on our hands. 05:02.176 --> 05:05.498 Are we really supposed to believe this is a serious person? 05:05.858 --> 05:09.780 Removing them with trailers and driving egg prices sky high. 05:10.420 --> 05:14.002 Now, a new strain of bird flu has been discovered in cattle. 05:14.502 --> 05:17.243 It has led to more severe disease in some people. 05:18.038 --> 05:21.679 This is a threat that is very significant and very real. 05:21.899 --> 05:22.640 Who is this guy? 05:22.660 --> 05:26.461 I recognize also this is a moment where it's easy to sound like an alarmist. 05:26.761 --> 05:31.002 What I'm here to tell you is this is a very serious threat to humanity. 05:31.803 --> 05:36.604 And the longer we let this persist, the greater the risks are going to be. 05:37.084 --> 05:45.047 Okay, so I don't know how you feel about this, but 60 Minutes is the place where Peter Daszak made his debut 05:46.849 --> 05:49.771 and Peter Daszak was actually featured a few times. 05:51.051 --> 05:58.536 Actually, on 60 Minutes is where George Webb made his TV debut as a bad guy in the coronavirus narrative. 06:00.277 --> 06:09.342 I find it extraordinary now that we are being introduced to yet another new virologist who is, you know, really terrified of the next pandemic. 06:10.903 --> 06:18.989 And we're about to hear in this video, I believe that it's not only in cats and in people and in cows, but I mean, it's everywhere. 06:20.751 --> 06:24.634 Dr. Cameron Khan is an infectious disease physician in Toronto. 06:25.194 --> 06:31.479 His company, Blue Dot, was among the first to flag the virus in China that became the COVID pandemic. 06:32.640 --> 06:37.023 Among the first to flag the virus that became the COVID pandemic. 06:37.063 --> 06:38.945 His firm was one of the first. 06:41.277 --> 06:41.817 Come on. 06:42.318 --> 06:45.299 On told us bird flu is just as concerning. 06:45.860 --> 06:49.602 He showed us how fast the virus has spread among dairy cattle. 06:49.742 --> 06:57.466 It seems like here's a map with different colors and circles and colored in States to show how fast it's spreading. 06:57.506 --> 07:03.570 I mean, this is actually worse than the, than the Johns Hopkins map. 07:03.630 --> 07:07.012 This is even, this is like for four year olds. 07:08.376 --> 07:09.957 Almost a wildfire to me. 07:09.977 --> 07:11.058 Yeah, absolutely. 07:11.178 --> 07:12.258 A wildfire. 07:12.358 --> 07:13.219 Wow, look at it. 07:13.239 --> 07:16.061 So this is virtually the whole country. 07:16.161 --> 07:16.601 Pretty much. 07:16.741 --> 07:17.461 Oh my gosh. 07:17.782 --> 07:24.646 Next, Dr. Cameron Kahn showed us a map of all the confirmed human cases of bird flu in the last five years. 07:25.386 --> 07:28.088 Most have been in Asia until now. 07:28.871 --> 07:38.754 What you start to see around 2024 is you start to see a case in Texas, and then you start to see this sudden, rapid increase in cases across the country. 07:38.794 --> 07:39.914 All over the place. 07:40.074 --> 07:48.397 What's happening here is wild birds have infected cows, who have then infected other cows, who have then infected humans. 07:48.617 --> 07:51.838 And so there's this complex web of all of these different 07:52.478 --> 07:55.501 animal species now passing the virus in different directions. 07:55.761 --> 07:57.983 Is this one of those things you have never seen before? 07:58.283 --> 08:01.706 The world has never seen this kind of situation. 08:02.026 --> 08:06.390 And it's showing us that the virus is capable of adaptation, if you allow it. 08:06.870 --> 08:12.295 It will just get better and better at infecting other mammals, including potentially humans. 08:13.376 --> 08:15.558 Most of the confirmed cases in the U.S. 08:15.578 --> 08:16.819 have been farmworkers. 08:17.379 --> 08:18.901 Most had mild symptoms. 08:19.361 --> 08:22.783 the one person who died had underlying health conditions. 08:23.443 --> 08:29.926 The Centers for Disease Control and Prevention say the virus still poses a low risk to the general public. 08:30.366 --> 08:34.168 But Kahn told us many cases are going undetected. 08:34.848 --> 08:35.369 Why do you say that? 08:36.169 --> 08:44.213 So, in a recent study of dairy workers... In a recent study of dairy workers, the P values were significant. 08:45.493 --> 08:46.634 In a recent study, 08:48.433 --> 08:50.375 This is remarkable. 08:50.415 --> 08:52.538 We're talking about asymptomatic spread. 08:52.578 --> 08:54.800 We're talking about it building in the background. 08:54.840 --> 08:58.724 We're talking about nobody having any previous immunity to this virus. 08:58.785 --> 09:03.550 It's all kind of frighteningly similar to the nonsense that went on five years ago. 09:03.570 --> 09:05.292 It's almost like we're in a hamster wheel. 09:08.701 --> 09:16.710 their blood was tested for antibodies to H5N1, not looking for the virus, but looking for the immune system's memory of this virus. 09:17.070 --> 09:24.238 And it turns out that 7% of them, one out of roughly every 15 workers, actually had antibodies to H5N1. 09:25.305 --> 09:25.925 people are not. 09:26.106 --> 09:48.642 So antibodies to H5N1 are an indication of its presence but not of its where in that temporal line of exposure those antibodies were generated and to what exact damage associated molecular pattern those antibodies are associated with even if their test pulls them down. 09:50.270 --> 09:55.855 And that's part of the remarkable exaggeration of specificity that goes on here. 09:55.875 --> 10:12.628 Whenever they talk about antibodies, whenever they talk about measuring immunity, they are by definition getting you to argue on their terms, using their definitions, and using their sort of rubric for defining all of these arguments. 10:12.688 --> 10:13.969 And so you can't ever win. 10:15.000 --> 10:27.221 The rules are rigged, and the language is rigged, the definitions are rigged, so that even if you end up getting a checkmate, the end result is that your team still loses because you're playing their game. 10:28.183 --> 10:45.258 As long as you keep playing chess when the real game is over there and it has to do with your kid's future and your kid's medical records and the way that your kids think about themselves as sovereign individuals, then you're playing chess for, you can get as good at it as you want to. 10:45.278 --> 10:46.018 You're not gonna win. 10:46.058 --> 10:48.821 It's just a social media hamster wheel. 10:49.802 --> 10:55.727 And we cannot allow our kids to inherit the next generation of this hamster wheel. 10:56.601 --> 11:01.980 The next iteration of social media will be even more malevolent and even more difficult. 11:03.120 --> 11:05.942 to usefully spread information on. 11:07.102 --> 11:31.516 I am still kind of optimistic that some of these decentralized, federalized sort of social media platforms like PeerTube and Soapbox and that can make a decentralized network that essentially allows people to build communities online that understand the same information the same way and interpret reality the same way so that they can act collectively. 11:32.605 --> 11:36.706 which is really what an internet should do if it was doing what it's supposed to be doing. 11:37.927 --> 11:39.907 Which would be good for almost everybody, right? 11:39.967 --> 11:48.650 That's the whole concept that it seems so easy, you know, just let it go, but they've never, ever, ever let it go. 11:50.070 --> 11:54.572 Otherwise, think about that for a second, run that simulation, where would we be by now? 11:57.318 --> 12:10.847 This is, this is remarkable because again, it's a, it's a hamster wheel and the people that usefully like really skillfully use social media and TV, they are stuck in this because now they're going to argue with that veterinarian. 12:10.887 --> 12:13.268 Now they're going to argue with this guy in the funny glasses. 12:14.929 --> 12:19.432 And as long as we argue with these people, then we're already playing by their rules. 12:19.492 --> 12:22.214 We're already using their terms and their definitions. 12:23.240 --> 12:30.707 And as long as we do that, then we will never really make any progress in teaching our children what this illusion is all about. 12:32.368 --> 12:34.771 Generally getting very sick from this. 12:35.331 --> 12:37.193 So what's the reason for all the alarm? 12:37.633 --> 12:41.557 Influenza is a particularly formidable virus. 12:41.877 --> 12:43.258 It is constantly changing. 12:44.329 --> 12:51.153 And the more that we allow it to evolve and adapt by infecting people, I mean, this is kind of Darwinian evolution here, right? 12:51.974 --> 13:00.499 It can change in ways that actually make it even more deadly or more easily transmissible or even resist against some of the antiviral medications that we have. 13:01.579 --> 13:04.941 Khan told us every new infection increases the odds. 13:05.002 --> 13:08.083 So that's already kind of the semantic enchantment. 13:08.103 --> 13:10.985 You could kind of hear it there where he was being very imprecise. 13:12.146 --> 13:13.687 And a lot of that imprecision 13:15.234 --> 13:40.601 in the new biology 101, it's going to be very obvious to you, that imprecision is taking some genetic concepts which have been, you know, established to a large extent in bacteria or in yeast, for example, and then generalizing those molecular mechanisms across all higher organisms, all higher hyper symbiotic pattern integrities. 13:41.809 --> 13:43.410 And that's a ridiculous notion. 13:43.590 --> 13:53.538 It's a very ridiculous notion because it doesn't respect that same component's presence in those pattern integrities, those higher ordered organisms. 13:54.278 --> 14:06.627 So this is going to be a long trek in terms of trying to establish an alternative way of talking about biology without using their terms, without being limited by their concepts. 14:06.687 --> 14:09.710 Because their concepts are often as simplistic 14:10.538 --> 14:22.754 as finding something that works in a dish with bacteria and assuming that that same concept is present and fundamental to understanding higher organisms like ourselves. 14:22.834 --> 14:28.761 And that is part of this bad biology that they think they can do because they found DNA. 14:29.955 --> 14:31.836 DNA means that evolution is real. 14:31.896 --> 14:35.038 And so all these assumptions are just, they're all there for them. 14:35.158 --> 14:36.299 They get to have all of them. 14:36.359 --> 14:39.841 And that is the basis for this bad biology. 14:39.881 --> 14:45.285 It's the basis for that cognitive trap that we've been in from that perspective since high school biology 101. 14:46.725 --> 14:55.911 And it relies, this whole narrative relies on you accepting that one fundamental omission, that we are a symbiosis. 14:55.991 --> 14:56.311 And that's, 14:57.845 --> 15:12.653 omitting that is what allows them to tell these tall tales about viruses which can, you know, develop resistance to antivirals is the equivalent to resistance to antibiotics. 15:13.133 --> 15:19.177 This whole concept is fundamentally rooted 15:20.549 --> 15:21.689 in this bad biology. 15:21.709 --> 15:29.713 And if you change that bad biology to a new model, then all of these other misleading concepts just kind of evaporate. 15:29.753 --> 15:39.436 That's what I think is so compelling about, about attempting to, to describe a new model of biology 101. 15:40.177 --> 15:44.158 Bird flu could lead to severe disease as we saw during COVID. 15:44.779 --> 15:45.739 In North America, 15:46.247 --> 15:49.610 Six people now have ended up in the hospital with bird flu. 15:50.091 --> 15:54.475 More worrying, five people had no known exposure to sick animals. 15:55.195 --> 15:57.718 One girl in Mexico died two weeks ago. 15:58.447 --> 16:05.209 We are really at risk of this virus evolving into one that has pandemic potential. 16:05.489 --> 16:10.311 And the reality is, none of us know whether this is next week or next year or never. 16:10.511 --> 16:11.432 I don't think it's never. 16:13.152 --> 16:15.973 But it may be here far sooner than any of us would like. 16:17.154 --> 16:20.795 Many scientists told us vaccines could be our best defense. 16:21.335 --> 16:26.757 There is a vaccine for bird flu, but it has not been licensed by the Food and Drug Administration. 16:27.352 --> 16:31.996 Moderna has a new one, but the Trump administration has paused its final funding. 16:32.596 --> 16:34.658 There are vaccines for poultry, too. 16:34.918 --> 16:36.780 I'm pretty sure that's no longer the case. 16:36.840 --> 16:38.981 I'm pretty sure Moderna got its final funding. 16:39.001 --> 16:40.002 Correct me if I'm wrong. 16:40.863 --> 16:45.607 But they haven't been used because many of America's trading partners... I love the ones up at the top there. 16:45.627 --> 16:47.108 ...do not import vaccinated birds. 16:47.748 --> 16:51.852 A glimmer of hope, the USDA's milk testing program. 16:52.072 --> 16:55.695 This is repurposed from COVID testing from three or four years ago. 16:56.548 --> 17:04.411 repurposed from COVID testing three or four years ago as he points to a $100,000 automated machine. 17:05.931 --> 17:07.372 Think about that for a minute. 17:08.332 --> 17:10.093 Think about that for a minute. 17:10.153 --> 17:18.956 There are companies in America with the sort of, how would you say it, technological infrastructure to just test 17:19.898 --> 17:26.664 And so they have the financial incentive to buy into any of this bullshit because they have the stuff. 17:26.864 --> 17:27.845 Well, you need cakes. 17:27.965 --> 17:28.826 I can bake cakes. 17:28.906 --> 17:29.626 I got the oven. 17:30.187 --> 17:33.710 I bought this really super fat oven, the best oven that money could buy. 17:33.750 --> 17:38.454 I got four of them for the pandemic because at the beginning of the pandemic, everybody needed cakes. 17:39.034 --> 17:41.056 But then everybody stopped needing cakes. 17:41.416 --> 17:44.279 But if you guys need cakes, oh man, that's perfect for me. 17:48.581 --> 17:58.326 Dr. Keith Paulson is director of the Wisconsin Veterinary Diagnostic Lab, part of the USDA's plan to test raw milk for H5N1. 17:58.386 --> 18:00.287 And of course it's in Wisconsin, right? 18:00.347 --> 18:08.310 I mean, anywhere where there's that many animals, there's gonna be a whole group of people ready to help out with this. 18:08.350 --> 18:14.473 I mean, they're gonna spread the word through their little networks about, you know how much money you can make in a dairy state in the coming years? 18:14.553 --> 18:15.454 Get busy, boys. 18:17.363 --> 18:21.924 Pasteurization kills the virus, but raw milk can be loaded with it. 18:22.644 --> 18:25.285 Is this where you would identify the virus? 18:25.485 --> 18:26.425 I said it. 18:26.485 --> 18:27.185 I just said it. 18:27.405 --> 18:29.866 One positive cow in a group of a thousand. 18:31.826 --> 18:42.488 Forty-five states are now doing some form of... Think about the exaggerated level of specificity and accuracy that that implies. 18:42.568 --> 18:45.769 That they can find one cow in a thousand 18:48.752 --> 18:51.374 And it won't be any false negatives. 18:51.394 --> 18:53.015 There won't be any false positives. 18:53.096 --> 18:58.440 It's just that one positive in a thousand because their test is that good. 19:01.743 --> 19:05.325 I mean, that is some remarkable level of salesmanship. 19:06.566 --> 19:10.890 Paulson told us it's helped to slow the spread of the virus in some states. 19:11.050 --> 19:11.891 That's a good point. 19:12.171 --> 19:14.413 Zardoz in the chat is saying PCR. 19:14.433 --> 19:16.534 They haven't said how they're testing yet. 19:16.574 --> 19:17.996 And I think that's by design. 19:18.837 --> 19:26.980 They don't want you to think about the particular methodology used, whether they're using lateral flow testing or blood testing or PCR. 19:27.180 --> 19:35.022 Obviously, they're using PCR because they are repurposing those PCR machines from COVID, but they didn't actually say it. 19:35.142 --> 19:37.043 They just kind of implied it, which is good. 19:38.720 --> 19:45.825 When you see the outbreak curve level off or start to decline, do you go like, phew, we dodged one? 19:46.286 --> 19:50.709 I don't think we go, phew, until we're deactivated, our lab. 19:50.849 --> 19:52.831 We're still in outbreak response mode. 19:53.071 --> 20:01.957 And while we may have fewer detections, we know that there are still viruses circulating based on all the data from the virologists that we're talking to. 20:02.358 --> 20:04.259 And we want to make sure that we catch it fast. 20:05.220 --> 20:08.222 The CDC is trying to ramp up its testing. 20:08.683 --> 20:15.767 But there's another... Are those CDC workers or are those guys just the milkers of that cows in that commercial farm? 20:15.807 --> 20:16.807 What the hell is this? 20:17.128 --> 20:17.528 ...problem. 20:18.128 --> 20:23.391 Almost half of farm workers are undocumented and may be reluctant to be tested. 20:23.471 --> 20:35.658 With their N95 masks... If we're not testing people, if we're not looking for people who might get it, if we're not looking for evidence of an early cluster of human-to-human transmission, then we're going to miss it. 20:36.198 --> 20:38.239 Everybody knows who Rasmussen is, right? 20:40.516 --> 20:42.238 Everybody knows who this lady is. 20:42.318 --> 20:42.578 Wow. 20:42.638 --> 20:43.919 That's that's remarkable. 20:43.959 --> 21:05.858 Look at that that pin It's almost like it's almost like they're trying to tell you that yeah, it's people that are working with Canadians It's like a NATO operation and anybody that's been to Canada and America repeatedly Might be a problem They're like orchestrating this across borders and 21:08.410 --> 21:17.114 There's a Georgetown virologist that now works for some vaccine thing in Canada, and that's not unusual. 21:17.174 --> 21:25.238 This lady who was sure it's natural, it can't be a lab leak, and now she's on TV again? 21:25.738 --> 21:27.259 That's part of the hamster wheel. 21:28.314 --> 21:55.192 Hamster wheel of the scooby-doo the hamster wheel of the lab leak the hamster wheel of of censorship of fake people taking fake positions with extreme certainty and Here she is again taking an extreme position with extreme certainty about the high fidelity of her biology It's remarkable when you can see it clearly how hard they're going at it. 21:55.212 --> 21:56.973 This is this is a full-court press. 21:57.053 --> 21:57.894 This isn't a joke 21:58.971 --> 22:03.015 Dr. Angela Rasmussen is an American virologist working in Canada. 22:03.635 --> 22:11.203 Rasmussen told us it's not just the number of human cases that is alarming, but that the virus is jumping to more mammals. 22:11.763 --> 22:12.103 Llamas? 22:12.123 --> 22:18.770 Every new spillover gives the virus another chance to evolve and potentially spread person to person. 22:19.804 --> 22:31.250 So we are now seeing the viruses spread from birds to cattle and now to foxes, goats, pigs, rats, cats, raccoons. 22:31.490 --> 22:35.332 The fact that this virus can infect so many different types of mammals. 22:35.513 --> 22:37.994 Seven, seven. 22:39.995 --> 22:41.996 Plus it's, we're talking about birds, right? 22:42.196 --> 22:42.576 Seven. 22:42.596 --> 22:44.397 This is, this is, 22:48.783 --> 22:49.583 Can you see it yet? 22:49.663 --> 22:53.105 Can you see where the new Biology 101 fits in here perfectly? 22:53.925 --> 23:04.370 Because the story that they told us about coronavirus was that it had the highest specificity for ACE2 that they'd ever seen. 23:06.127 --> 23:23.977 And yet somehow or another, its extremely high specificity also led to it being found in zoo animals and in all the white-tailed deer in North America, even though it had the most high affinity for the human ACE2 receptor ever. 23:26.058 --> 23:29.040 And yet here now, we have a story of the flu. 23:30.498 --> 23:51.494 infecting all kinds of species with no discussion whatsoever about what receptor mechanism might underlie this phenomenon that heretofore was only attributed to a lab generated virus with a specificity so high it had never been seen on earth before. 23:52.731 --> 23:55.793 And yet now that phenomenon is relatively normal. 23:55.833 --> 23:58.354 That's what we expect from all these viruses. 23:58.894 --> 24:00.795 And we're just finding it everywhere. 24:00.915 --> 24:02.776 Think about that for a second. 24:04.237 --> 24:17.564 For almost two and a half years, we were told that COVID had all kinds of attributes that had never been seen before and was like a lottery being won because it was jackpot after jackpot after jackpot. 24:19.099 --> 24:25.986 Staphylococcus enterotoxin B, something like that. 24:26.986 --> 24:41.000 Like the HIV inserts, the furin cleavage site, the specially spaced restriction enzymes that make it obviously manufactured, all of these hints 24:43.658 --> 24:51.062 And in the first two years, it was ACE-2, ACE-2, ACE-2, ACE-2, ACE-2 inhibitors, Bradykinin. 24:51.483 --> 24:53.504 It was all about this ACE-2. 24:56.486 --> 25:00.708 And for now, we don't have to talk about the mechanism of receptors at all. 25:00.748 --> 25:02.829 It's just in all these, it's just crazy. 25:02.869 --> 25:04.030 It's in all these animals. 25:04.070 --> 25:06.592 And we, you know, cause flu can do that, I guess. 25:07.839 --> 25:11.801 is a huge concern in terms of its ability to infect people. 25:12.101 --> 25:22.785 One of your colleagues told us that if this should spiral into a pandemic, this flu could make COVID look like a walk in the park. 25:23.025 --> 25:23.405 I agree. 25:24.846 --> 25:25.446 You're scaring me. 25:26.246 --> 25:27.607 I'm scared about it myself. 25:27.927 --> 25:29.688 I don't sleep very much these days, Bill. 25:29.948 --> 25:31.909 I'm scared of it myself. 25:32.169 --> 25:34.810 I don't sleep much these days, Bill. 25:37.634 --> 25:38.394 Stop lying! 25:42.996 --> 25:44.736 I'm scared of it myself, Bill. 25:45.176 --> 25:47.637 I don't sleep much these days, she says. 25:51.498 --> 25:57.680 Rasmussen was among the scientists given expert briefings by the Biden administration in 2024. 25:58.321 --> 26:02.342 She told us Biden's team miscalculated the threat at first. 26:02.922 --> 26:05.523 It was some gambling and some wishful thinking. 26:06.087 --> 26:08.491 thinking this isn't actually going to be that big of a deal. 26:09.112 --> 26:10.834 And it turns out it was a very big deal. 26:11.555 --> 26:20.409 It's an interesting set of circumstances, right, where the COVID pandemic kind of just starts in Trump's little 26:21.604 --> 26:23.186 while Trump is on the way out. 26:23.226 --> 26:30.272 And then for four years, we just have, you know, total control over the narrative and whatever we want to say, we can do whatever we want and blah, blah, blah, blah, blah. 26:30.732 --> 26:39.540 And then Trump comes in office again, and now we're going to start another narrative just like this, where, you know, it looks like they predicted it right. 26:39.881 --> 26:43.004 We saw it, we said it, here it comes, and it's the same people. 26:44.141 --> 26:45.362 Which is strange, right? 26:45.402 --> 26:51.004 Because now they have this guy in the White House and they can say that he ignored it and they can say that Robert F. Kennedy Jr. 26:51.044 --> 26:52.785 defunded or fired these people. 26:53.426 --> 27:04.011 And so the whole kind of incompetence narrative is set up again, but it's now set up on a pretty left-right sort of controlled demolition of America style. 27:04.491 --> 27:05.212 Holy shit. 27:06.012 --> 27:13.656 Now we're really set for an implosion because with Trump the first time, it was Fauci. 27:15.612 --> 27:17.053 And it was Francis Collins. 27:18.693 --> 27:20.274 And it was Rochelle Walensky. 27:20.434 --> 27:29.778 And it was, you know, all these people that had trained under Fauci for years and worked on HIV for years before they participated in this narrative. 27:29.838 --> 27:32.599 These are people who already understood. 27:35.921 --> 27:38.162 But now we're in a different situation. 27:38.262 --> 27:43.144 Now, it seems like we're in a situation where it's going to be easy to blame the whole executive branch. 27:45.270 --> 27:49.214 where it's going to be very easy to sort of take it down to the studs, if you will. 27:52.457 --> 27:55.920 And, and I think that that's what we should be aware of. 27:56.120 --> 28:08.252 That's what we should be afraid of here, because this same narrative executed now with Jay Bhattacharya at the head of the NIH with, with Robert F. Kennedy Jr. 28:08.352 --> 28:09.113 at the head of HHS. 28:13.755 --> 28:16.777 What happens when he declares a bird flu pandemic? 28:20.819 --> 28:22.980 Because remember, he's part of the executive branch. 28:23.000 --> 28:26.121 He's not an independently elected brain here. 28:27.082 --> 28:31.344 We're talking about somebody who essentially has to do what he's told or he can be replaced. 28:34.866 --> 28:35.466 Like it or not. 28:36.772 --> 28:44.277 That's independent of the other accusations and other speculations that I've made about the people behind him. 28:45.779 --> 28:49.600 the Trump administration gotten its arms around this problem? 28:49.880 --> 28:51.901 No, I would say is the short answer. 28:52.581 --> 28:59.644 But the other, the longer answer is that I don't actually entirely know what is what is going on. 28:59.724 --> 29:00.284 Why is that? 29:00.804 --> 29:07.186 Many of the people who are working on this, at least at CDC, have have been fired from the federal government. 29:07.766 --> 29:10.947 So the influenza division at CDC has been decimated. 29:11.087 --> 29:13.048 And in fact, there is a communications ban 29:13.588 --> 29:15.851 that has been put on these federal workers. 29:16.091 --> 29:16.932 What do you think of that? 29:17.813 --> 29:25.460 I think it's insane, actually, that I have to have conversations on encrypted messaging apps with my colleagues who I would normally just send emails to. 29:26.381 --> 29:28.063 Hundreds of federal scientists. 29:28.363 --> 29:32.767 I don't know why that last part has anything to do with the first part. 29:32.908 --> 29:37.112 If all these people got fired, then why do you need to send encrypted messages to them? 29:39.356 --> 29:46.459 What does that have any, that's such a weird story to tell and put on 60 minutes on, that's an edited interview. 29:47.239 --> 29:49.040 So they selected that soundbite. 29:55.462 --> 30:04.105 Just like they selected to show you George Webb in February of 2020, talking about some Dutch lady and the Wuhan military games. 30:05.845 --> 30:07.386 It was, none of this is by accident. 30:09.051 --> 30:12.213 ...and health workers who track bird flu have been laid off. 30:12.774 --> 30:14.315 Some may be rehired. 30:14.775 --> 30:22.480 The CDC declined to answer our questions, saying it continues to respond to the H5N1 bird flu outbreak. 30:22.980 --> 30:31.066 Colorado vet Kay Russo and others told us... They edited it out there or talked over it, but she said worst case scenario again there, which is pretty funny. 30:31.666 --> 30:32.907 ...they feel stymied. 30:33.510 --> 30:40.271 The current distrust of science and vaccines is hurting their fight to try to prevent the next pandemic. 30:40.852 --> 30:45.893 I would scorch the earth if this ends up in children deaths. 30:46.733 --> 31:01.976 And so as a mother, as a veterinarian, as a scientist, I'm just asking you trust us because I will do everything in my power and there's plenty of folks behind me that will do the same to keep this from getting to that point. 31:02.432 --> 31:06.433 So if kids die of bird flu, she's gonna burn the whole earth. 31:07.974 --> 31:16.657 I don't really get that statement at all, other than, again, we're talking about somebody auditioning. 31:17.998 --> 31:24.200 Auditioning to be a more prominent player in the theater by which we are governed. 31:25.911 --> 31:33.876 Most of these people do not understand the difference between what they are doing and just trying to succeed career-wise, and that's the sad part. 31:34.797 --> 31:45.984 We have so many people that are still absolutely trapped in mainstream media narratives, in mainstream media reality, or in social media reality. 31:47.325 --> 31:55.130 And the most dangerous adults are trapped in social media reality, where they think that mainstream media is incapable of carrying the truth. 31:59.625 --> 32:06.189 And the truth has something to do with aliens and warp speed and what's underneath the pyramids. 32:11.273 --> 32:15.456 This is the most malevolent sort of warfare. 32:16.590 --> 32:39.920 It's the most malevolent sort of governance where mythologies and actors and scripts are used on television to create the illusion of consensus about a phenomenon, about a social, a socioeconomic phenomenon, a biological phenomenon, even a multi-generational phenomenon. 32:42.847 --> 33:04.034 That is how we are governed, until we start to be able to actively question everything that comes into our ears, instead of hanging on for dear life as the information goes past us, or even worse, passively sitting there with no muscle tone at all as the information just kind of washes over us. 33:07.881 --> 33:11.863 The bottom line is that if you're not acting, someone else is. 33:12.383 --> 33:15.044 If you're not thinking, someone else is doing it for you. 33:16.025 --> 33:28.970 And in the case of 60 Minutes, unless you're actively seeking the mythology and trying to understand the mythology that is being projected here, then you're already just in a hamster wheel. 33:28.990 --> 33:29.871 There's no truth here. 33:31.032 --> 33:35.957 There's nothing to be sieved and then you have the golden nugget of truth. 33:36.137 --> 33:41.823 There's nothing other than they need your children to believe this. 33:42.584 --> 33:44.946 They need us to teach our children this. 33:45.206 --> 33:45.907 That's what they need. 33:51.331 --> 33:55.435 So if you would like to be notified of the stream, please send an email to that email right there. 33:55.455 --> 34:05.324 If you're going to share this afterward, please share stream.gigaom.bio where you should be able to also download it and post it wherever you want to make clips, however you want to, please do so. 34:05.424 --> 34:08.267 If you can find a way to make your family, uh, 34:11.175 --> 34:22.421 more safe and secure and raise money for your family by taking cuts from these videos and putting them on your own YouTube channel and collecting whatever revenue you get from it, please do. 34:23.321 --> 34:34.047 If you think you can turn my work into better written materials and raise money that will help your family get into the future and spread this to other families, then please do. 34:35.067 --> 34:35.948 I don't want any 34:36.930 --> 34:42.753 Your money that you earn through your hard work using these ideas because these ideas are not mine. 34:42.793 --> 34:52.238 These are ideas are conglomeration and a remix at best and so I humbly Thank you very much for being here. 34:52.278 --> 35:04.005 And if you can and want to support this work, please go to gigoloandbiological.com And find a way to do so we only make make it because of those people Thank you very much 35:08.790 --> 35:08.950 you 35:23.817 --> 35:24.257 The end. 35:44.983 --> 35:45.063 so 36:12.321 --> 36:13.882 And good morning, ladies and gentlemen. 36:13.922 --> 36:14.522 Welcome to the show. 36:14.562 --> 36:16.544 This is Gingo on Biological, a new biology 101. 36:17.144 --> 36:20.146 Life is a pattern, integrity with a trajectory across time. 36:21.167 --> 36:23.368 The voice that you're hearing is Jonathan Cooey. 36:23.549 --> 36:25.670 I am the chief biologist of Gingo on Biological. 36:25.690 --> 36:30.674 I am coming to you live from Pittsburgh, Pennsylvania out of the back of my garage, even though it seems like I'm doing magic. 36:31.334 --> 36:33.274 I'm just really badass at what I do. 36:33.294 --> 36:40.516 Yeah, the stain of my previous work can be found on PubMed, but also throughout the internet. 36:40.836 --> 36:44.277 Unfortunately, Panda lost all of my presentations from a few years ago. 36:45.717 --> 36:51.119 But I am really well represented, actually, in the work of Woodhouse76 on Substack. 36:51.659 --> 36:56.900 Jessica Hockett and Jonathan Engler regularly take my ideas and water them down and then 36:57.620 --> 37:01.042 tend to argue with people like Claire Craig or Pierre Corey. 37:01.082 --> 37:21.352 But in reality, all of these ideas that these clowns are parroting are actually just stuff taken from my work or from Mark's work or from other people, because these are really, these are part of the team of people behind Robert F. Kennedy, Jr., the whole Skyhorse publishing nonsense. 37:22.232 --> 37:25.634 They're also behind Jay Bhattacharya's placement at NIH. 37:26.734 --> 37:29.595 I guess that's about all I can really tell you. 37:30.135 --> 37:34.376 It is a bunch of people that don't have our best interests in mind. 37:35.117 --> 37:38.458 They are auditioning to be part of the governance structure. 37:39.378 --> 37:40.718 This is Gigoland Biological. 37:40.758 --> 37:43.019 It is a journal club today on the 28th of April, 2025. 37:43.599 --> 37:44.799 Biology is the way. 37:45.400 --> 37:49.701 And so I think it's always very important to test our biology to make sure that we know what we're talking about. 37:49.741 --> 37:52.642 Ladies and gentlemen, this is for all the children of earth. 37:53.782 --> 37:54.882 It's for all the marbles. 37:55.122 --> 37:55.583 Good morning. 37:55.623 --> 37:56.003 Good morning. 37:56.043 --> 37:56.563 Hello. 37:56.783 --> 37:57.523 How are you? 37:59.043 --> 38:16.088 That's why there's a fake anti-vax movement in America And so I don't want to make too much of a big deal about that But I do think it's really important to start there And make sure that everybody has a clear idea of what I'm trying to suggest I think that there is a fake anti-vax in movement in America and 38:16.468 --> 38:17.909 and it's been around for many years. 38:17.969 --> 38:45.411 I think it has its roots in the fake anti-vax movement in the UK around the MMR vaccine and centered around a man by the name of Andrew Wakefield, who coincidentally came to the United States, became rich, recycling this, I would say, sort of political and social capital to manipulate the health freedom movement in America and essentially cut its legs out. 38:46.913 --> 38:51.577 with the intention of using it as a way of propelling someone like Robert F. Kennedy Jr. 38:51.657 --> 38:52.398 into the White House. 38:53.438 --> 38:56.721 I think they've come short or fell short of that goal. 38:57.862 --> 39:00.144 But, you know, it's where we are. 39:00.444 --> 39:08.852 And when you're engaged in such a long con, then you got to stick to your story, even when you don't quite get where you want to be. 39:09.773 --> 39:12.436 Because it's required loyalty to get this far. 39:14.218 --> 39:15.359 And so you've got to stick to it. 39:15.459 --> 39:16.581 And I think that's where we are. 39:16.621 --> 39:18.803 I think it's unfortunate, but that's where we are. 39:19.184 --> 39:27.053 My experience tells me that these people are part of this concerted effort to hide this magnificent background. 39:28.274 --> 39:45.597 on which that PCR is supposedly working to give us a very high fidelity read on all the variants of bird flu and all the places that it can be found, as well as previously the wonderful phylogeny of the COVID virus as it evolved over the last five years. 39:45.638 --> 39:52.799 This is all based on this nonsense, bad biology 101, where evolution because DNA, that's about the best way to summarize it. 39:53.659 --> 39:59.804 They found DNA and therefore Darwin was right and all the implications of it are that, you know, it's a species thing. 39:59.824 --> 40:01.505 You should be concerned about the species. 40:01.565 --> 40:05.128 We should, you know, take control of the evolution of the species. 40:05.208 --> 40:12.033 Anybody that's smart enough to understand this realizes there's a moral imperative to take control of the evolution of the species. 40:12.093 --> 40:20.679 And that is essentially how these people think and how they make the equations on the board, which essentially cancel out God on both sides of the equation. 40:23.533 --> 40:34.541 And so the way that I am trying to break people open on this idea is to make sure that people understand that what happened during the pandemic can be summarized as murder and lies. 40:34.621 --> 40:36.462 That's unfortunate, but it's really true. 40:36.562 --> 40:49.151 Not everybody understands, maybe it's manslaughter, but an anticipated rise in expected deaths, an anticipated rise that could be seen in the population pyramid of all the countries of the West, 40:50.080 --> 41:15.685 This anticipated rise in all-cause mortality was misconstrued as evidence of an RNA pandemic using murder and lies, sophisticated lies like the PCR test, sophisticated lies like whole genome sequencing of the virus, sophisticated lies like using supplementary oxygen in place of ventilators that we were running out of, that Elon Musk was gonna convert his factory to making. 41:17.369 --> 41:21.010 These are the kinds of myths that have never been debunked. 41:21.170 --> 41:33.115 And instead, they've moved right on as quickly as possible to the talking specifically about COVID shots and whether the shots were contaminated or not, or whether they, you know, that, that, that 41:34.130 --> 41:38.394 completely ran the clock out on this fundamental part of the narrative. 41:38.454 --> 41:51.966 And unfortunately, this phenomenon even, the idea that there was a population pyramid that could have predicted the rise in all-cause mortality, that just not using antibiotics for pneumonia 41:52.546 --> 42:04.537 could cause a significant rise in all-cause mortality in hospitals if you just told people that antibiotics are inappropriate for the novel virus and that the novel virus doesn't even need to be tested for. 42:04.577 --> 42:05.017 It's tough. 42:05.678 --> 42:07.760 We can't do it because the FDA won't let us. 42:09.682 --> 42:19.089 No one else in this narrative besides Mark Kulak has tried to assemble a list of explanations which rules out a novel virus very successfully. 42:19.689 --> 42:20.149 Only us. 42:20.890 --> 42:31.137 Everybody else is convinced that this equation requires a mystery virus that killed millions of people and that probably came from a gain-of-function laboratory and likely could come again. 42:32.796 --> 42:37.622 And that is how you can understand that you haven't actually been freed by any of these people. 42:37.662 --> 42:44.531 You have been permanently imprisoned in this mystery-solving exercise that you have acquiesced to accepting. 42:46.254 --> 42:50.059 It's all fraud, it's all lies, and it's primarily murder. 42:54.395 --> 42:56.857 Now, you can summarize it in a lot of ways. 42:56.877 --> 42:58.578 You can have that long list over there. 42:58.658 --> 43:02.580 You can just say that number one, not using antibiotics for pneumonia is a crime. 43:02.620 --> 43:17.690 And so anybody that can look back on the COVID pandemic and see that one of their relatives was treated like that, or that your head of your department told you that you had to treat people like that, can look back and say, wait a minute, maybe he's right. 43:19.079 --> 43:28.323 Maybe those CDC protocols made me essentially murder people or injure them in a way that could be misconstrued as COVID. 43:29.524 --> 43:33.125 And of course, we all know the story that most of the COVID was spreading in hospitals. 43:33.165 --> 43:48.432 It wasn't spreading in hospitals or being generated by the inappropriate treatment of people in hospitals that included primarily the acceptance of a viral syndrome for which antibiotics were inappropriate. 43:50.839 --> 43:56.382 So then couple that with the opioid crisis being allowed to let go free, wild. 43:58.163 --> 44:02.846 Couple that with do not resuscitate orders in specific places during specific times. 44:03.727 --> 44:04.888 Maybe some suicides. 44:05.648 --> 44:08.450 But I think these two are more than enough, especially this one. 44:09.330 --> 44:13.113 The leading cause of death for people under 40. 44:14.517 --> 44:17.741 That's gonna be a problem with regard to lowering life expectancy. 44:17.781 --> 44:19.543 Now, why do we keep hammering on that? 44:20.063 --> 44:26.971 Because there are two numbers that everybody keeps accepting when they accept the pandemic narrative. 44:27.011 --> 44:31.316 The numbers, one, is that there are some number of people who died of COVID. 44:32.745 --> 44:47.852 And number two is that some of those people were not old people, and that's why the life expectancy in America has plummeted for the first time significantly since the 1918 pandemic flu. 44:49.092 --> 44:52.174 There are lots of people, including Vincent Rackaniello, 44:53.394 --> 45:06.224 And Tony Fauci, who would argue exactly that, and Pierre Kory would argue exactly that, that if it's not COVID, it is the COVID shots which have caused this lowered life expectancy. 45:06.344 --> 45:09.407 And that is an absolute lie. 45:09.447 --> 45:10.408 The math is there. 45:10.568 --> 45:15.692 Anybody that wanted to investigate could find that there is a significant number of Americans 45:16.132 --> 45:29.493 included in this opioid epidemic that have died way earlier than they should have and by definition that has shifted that number in a way that this novel virus doesn't necessarily need to have done. 45:30.250 --> 45:34.093 But all of these people are certain that it did. 45:34.553 --> 45:45.800 And when I say all of these people, I mean Tony Fauci and Mary Holland and Peter Daszak and Robert Malone and Francis Collins and Kevin McKernan. 45:45.820 --> 45:52.044 They're all certain that there was a novel virus that could be sequenced, that was followed, that evolved, that killed people. 45:52.465 --> 45:53.906 It was a strange disease. 45:54.446 --> 45:57.628 And now there's a spike protein in people because we transfected them. 45:57.708 --> 45:58.969 I mean, gave them a vaccine. 46:02.031 --> 46:20.945 And so death certificates could definitely be faked for money because it was worth a lot of money and because hospitals are managed by corporations for the profit margin, and PCR was not a useful diagnostic tool, but because of the pandemic, the magic trick of the pandemic, we have PCR in all of our hospitals doing all kinds of work now. 46:23.447 --> 46:24.948 And that's not by accident. 46:25.288 --> 46:26.309 That is by script. 46:26.669 --> 46:27.630 That is by plan. 46:29.878 --> 46:38.952 And a lot of people, including myself, got sucked into those first couple years of arguing about a lab leak and effectively not realizing that PCR was where we should have been fighting. 46:40.236 --> 46:42.958 where the fake death certificates are where we should have been fighting. 46:42.978 --> 46:46.561 The opioid epidemic is where we should have been fighting. 46:46.982 --> 46:51.125 The pure oxygen and ventilation causing ARDS is what we should have been talking about. 46:51.145 --> 46:59.712 There's 10 years, 20 years of literature in the primary literature and even in textbooks about critical care where this is talked about at length. 47:01.694 --> 47:06.518 And yet everybody missed it for somehow because we were talking about ivermectin and hydroxychloroquine. 47:10.020 --> 47:11.141 instead of antibiotics. 47:15.645 --> 47:18.507 And so mandates are slave speak. 47:18.567 --> 47:23.752 If you're arguing about mandates being bad, then you're speaking slave speak. 47:25.754 --> 47:27.015 Vaccines are a mythology. 47:28.396 --> 47:29.677 Autism is a mythology. 47:30.658 --> 47:33.861 Gain of function is a mythology and AI is a mythology. 47:34.926 --> 47:37.227 How much clearer can I be here? 47:37.508 --> 47:38.908 Let's try to be a little clearer. 47:39.449 --> 47:41.850 Making poisoning kids is a choice? 47:41.930 --> 47:42.891 That's silly. 47:44.051 --> 47:47.093 So talking about mandates is actually slave speak. 47:48.934 --> 47:50.916 Intramuscular injection is dumb. 47:51.738 --> 47:53.540 That's why vaccines are a mythology. 47:53.580 --> 47:54.220 It's just dumb. 47:55.041 --> 48:01.426 So autism is a mythology that complicates intramuscular injection being dumb. 48:01.606 --> 48:08.111 If intramuscular injection is dumb, we don't need a thousand explanations for autism. 48:08.131 --> 48:14.276 We don't need to come up with the environmental and genetic causes of autism if intramuscular injection is dumb. 48:15.097 --> 48:21.058 So I hope I'm being very clear, trying to be simple, autism complicates intramuscular injection is dumb. 48:21.458 --> 48:23.559 And intramuscular injection is definitely dumb. 48:25.759 --> 48:28.940 But you know, I'm open to the possibility that it's not. 48:29.000 --> 48:32.881 The title of this program is The Importance of Injecting Vaccines into Muscle. 48:32.941 --> 48:43.703 It would be crazy if there was actually an article in the British Medical Journal titled The Importance of Injecting Vaccines into Muscle, because if there's that 48:44.568 --> 49:14.123 article and I have been saying intramuscular injection is dumb than any of these people could have corrected me at any time they wanted to by just pulling this article up and reading it and saying how crazy it is that, you know, the guy who used to work for CHD and before that used to work for the University of Pittsburgh School of Medicine is saying something is so crazy as intramuscular injection is dumb when the importance of injecting vaccines into muscle is the title of an article. 49:18.171 --> 49:20.372 The language is the enchantment, ladies and gentlemen. 49:20.413 --> 49:25.336 Virology is just applications using synthetic DNA, so gain-of-function is just a mythology. 49:26.216 --> 49:27.637 And language is the enchantment. 49:27.677 --> 49:29.479 How they talk about it is the enchantment. 49:29.499 --> 49:32.621 You argue with them using their terms, and you lose. 49:32.901 --> 49:34.342 More importantly, your kids lose. 49:37.116 --> 49:38.897 So let's have a little journal club here. 49:38.957 --> 49:40.538 This is the title of the paper. 49:40.859 --> 49:47.984 Remember, I just want to make sure you see the overarching idea here is intramuscular injection is dumb and autism complicates that. 49:48.664 --> 49:53.668 It makes something very complicated out of something very, very simple. 49:54.889 --> 50:06.717 We don't need a book like James Lyons Wyler's New York Times bestseller, Environmental and Genetic Causes of Autism, if intramuscular injection is just plain dumb. 50:09.264 --> 50:16.909 So let's read this article and see if it's convincing about why intramuscular injection is important for vaccines. 50:16.969 --> 50:21.491 And the subtitle is different patients need different size needles. 50:23.773 --> 50:25.374 It sounds almost, yeah. 50:25.794 --> 50:26.054 Wow. 50:26.074 --> 50:26.294 Okay. 50:26.374 --> 50:26.975 Anyway, here we go. 50:26.995 --> 50:28.676 I'm just going to read this because I think it's fun. 50:30.276 --> 50:37.347 Most vaccines should be given via intramuscular route into the deltoid or the anterolateral aspect of the thigh. 50:38.048 --> 50:45.440 This optimizes immunogenicity of the vaccine and minimizes adverse reactions at the injection site. 50:46.641 --> 50:51.145 Recent studies have highlighted the importance of administering vaccines correctly. 50:51.806 --> 51:05.458 And so I'm sure that the bibliography of this paper is just a magnificent collection of articles that proves beyond a shadow of a doubt the unbelievable convenience biologically 51:06.491 --> 51:07.753 of intramuscular injection. 51:07.773 --> 51:18.091 I mean, it's just so awesome that now that we have hypodermic needles, we can take advantage of intramuscular injection because it's so freaking cool. 51:19.444 --> 51:27.605 This optimizes the immunogenicity of the vaccine and minimizes the reactions at the injection site. 51:27.645 --> 51:30.786 Recent studies have highlighted the importance of administering vaccines correctly. 51:31.406 --> 51:43.268 Clinical practice needs to reflect considerations about the right length and gauge of needles used to ensure that those vaccinated get the immunological benefits of the vaccine without local side effects. 51:43.968 --> 51:47.049 Now, local side effects are an interesting thing. 51:47.089 --> 51:47.969 So essentially, 51:48.709 --> 51:52.772 The only thing this paper is worried about are local side effects. 51:52.792 --> 51:54.493 We're not talking about autism. 51:54.734 --> 51:55.594 I mean, that's crazy. 51:56.415 --> 51:58.116 We're just talking about local side effects. 51:58.156 --> 51:59.918 I wonder what those local side effects are. 52:00.358 --> 52:11.586 Injecting a vaccine into the layer of subcutaneous fat where poor vascularity may result in slow mobilization and processing of antigen, it is a cause of vaccine failure. 52:12.707 --> 52:16.170 For example, in hepatitis B, rabies, and influenza vaccines. 52:17.028 --> 52:31.534 Compared with intramuscular administration, subcutaneous injection of hepatitis B vaccine leads to a significantly lower seroconversion rates and more rapidly decaying, sorry, and more rapid decay of antibody response. 52:31.554 --> 52:33.355 So first and foremost, here we have it. 52:34.015 --> 52:45.120 If you accept their model of seroconversion, you accept their model of antibodies as a sign of immunity, then you are accepting their testing methods, 52:46.052 --> 52:48.154 You are accepting their methodologies. 52:49.115 --> 52:59.423 You are accepting this concept that antibodies present can be a specific signal for a specific experience. 53:00.865 --> 53:07.090 Imagine that, that they would say that we can test your brain for antibodies that are specific for a memory that you just had. 53:07.550 --> 53:12.815 We can tell if you played poker this week or not because it will leave antibodies in your brain and we can test for them. 53:15.871 --> 53:23.256 It's a very similar claim that we can test your blood for a sign that you have been exposed. 53:25.578 --> 53:28.620 And you accept all of that in one go if you read this paper. 53:28.660 --> 53:33.823 It just leads to significantly lower seroconversion is the enchantment. 53:34.724 --> 53:39.547 If you understand what seroconversion means and don't question it, you're done. 53:42.318 --> 53:51.381 Traditionally, the buttocks were thought to be an appropriate site for vaccination, but the layers of fat do not contain the appropriate cells that are necessary to initiate the immune response. 53:51.982 --> 53:54.222 Phagocytic are antigen-presenting cells. 53:54.643 --> 54:09.048 It's interesting, right, that you would put fat in places maybe not just to store it, but also maybe to protect things or, you know, to make it, you know, you're more robust, less, you know, small punctures and abrasions will be even less of a problem then, right, or something. 54:09.088 --> 54:09.748 I don't know. 54:09.768 --> 54:10.809 That doesn't make any sense. 54:14.669 --> 54:27.319 The antigen may also take longer to reach the circulation after being deposited in fat, leading to a delay in processing by macrophages and eventually presentation to the T and B cells that are involved in the immune response. 54:27.339 --> 54:34.544 So there's a very poor representation of the immune response, as though the presentation happens to both T and B cells. 54:34.604 --> 54:35.225 That's, of course, 54:36.705 --> 54:43.048 In addition, antigens may be denatured by enzymes if they remain in fat for hours or days. 54:43.548 --> 54:53.052 Are you telling me that Brandy Vaughn was right and we have many ways at our barriers of processing toxins and getting rid of them before they actually get into the blood? 54:53.472 --> 54:54.813 That would be nuts, wouldn't it? 54:55.353 --> 55:05.121 Wow, okay, so the importance of these factors is supported by the findings that thicker skin folds are associated with a lowered antibody response to vaccines. 55:05.261 --> 55:06.142 Wow, curious. 55:07.003 --> 55:12.487 Some severe, sorry, serious reactions to intramuscular injections are rare. 55:13.450 --> 55:25.675 In one series of 26,294 adults, of whom 46 had received at least one intramuscular injection, only 48 had local adverse effects. 55:27.896 --> 55:32.397 However, subcutaneous injections can cause abscesses and granulomas. 55:32.457 --> 55:33.358 I think that's cancer. 55:34.558 --> 55:34.958 Hmm. 55:36.159 --> 55:39.180 So if something can be injected subcutaneously, 55:40.700 --> 55:45.403 and cause abscesses or granulomas, but in the muscle that's, it doesn't happen. 55:45.443 --> 55:45.963 It's interesting. 55:46.424 --> 55:52.447 Muscle has probably spared the harmful effects of substances injected into it because of its abundant blood supply. 55:52.987 --> 55:55.429 Oh, abundant blood supply. 55:56.350 --> 55:57.770 So it needs to get into the blood. 55:58.351 --> 56:03.594 You don't want it to sit somewhere and stay at the local injection site. 56:04.194 --> 56:06.916 You want it to get into the blood, huh? 56:08.252 --> 56:19.395 I thought that the whole point was to make it stay there and that one of the reasons why you had to aspirate is because you didn't want to get it into the blood too fast or something. 56:19.975 --> 56:20.715 Anyway, okay. 56:22.175 --> 56:30.877 Adipose tissue having a much poorer drainage channels retains injected material for much longer and therefore also susceptible to its adverse effects. 56:31.217 --> 56:34.358 In the cases of vaccine in which antigens are absorbed to 56:35.658 --> 56:46.022 Antigen is adsorbed to an aluminum salt adjuvant, such as those for hepatitis A, hepatitis B, and diphtheria, tetanus, and pertussis vaccines. 56:46.042 --> 56:46.902 That's a lot of aluminum. 56:47.423 --> 56:58.627 The intramuscular route is strongly preferred because superficial administration leads to an increased incidence in local reactions, such as irritation, inflammation, granuloma formation, and necrosis. 56:59.707 --> 56:59.967 Huh. 57:01.128 --> 57:03.709 But necrosis doesn't happen in the muscle because it leaks out 57:04.565 --> 57:06.566 It gets out fast enough, it gets in the blood quick. 57:07.166 --> 57:07.606 That's cool. 57:08.627 --> 57:09.067 Interesting. 57:09.747 --> 57:14.849 So injection technique and needle size both determine how deep a substance is injected. 57:15.089 --> 57:15.629 Interesting. 57:15.649 --> 57:16.430 Okay. 57:16.950 --> 57:23.673 So again, we're getting kind of into a gray area here because I thought John Campbell and, and, and Mark Giraudeau had figured it all out. 57:23.713 --> 57:27.474 That it was really just the bolus theory and, and all you have to do is aspirate. 57:27.514 --> 57:31.956 And then most of these, if not all of these adverse reactions would simply go away. 57:34.699 --> 57:45.287 So let's see, injection technique involves stretching the skin flat before inserting the needle or pinching a fold of skin before injection, which may necessitate the use of longer needles. 57:46.788 --> 57:50.731 So you have to know how thick their skin is and how much fat they have before you can hit their muscle? 57:51.581 --> 57:52.382 God, go figure. 57:52.562 --> 57:56.425 I wonder how many people were doing that during the, yeah, okay, anyway. 57:57.526 --> 57:58.887 Is it different in kids? 57:59.267 --> 58:03.431 How thick is the kid's muscle in its skin and different kids and stuff? 58:03.731 --> 58:05.893 I wonder, huh, that's weird. 58:06.253 --> 58:17.823 To make sure the needle reaches the muscle and that the vaccine does not seep into subcutaneous tissue, the decision on size of needle and injection site should be made individually for each person. 58:18.985 --> 58:20.185 Hey, come over here, little kid. 58:20.225 --> 58:27.188 I want to pinch you, measure your skin thickness before I select from this whole range of needles here I have in this drawer. 58:31.850 --> 58:38.492 Imagine making such a big deal out of the size of the needle if intramuscular injection is just dumb. 58:39.352 --> 58:40.613 Just think about this. 58:42.062 --> 58:48.925 In a recent, sorry, it should be based on the person's age, the volume of material to be administered, and the size of the muscle. 58:49.745 --> 58:57.829 In a recent study, the thickness of the fat pad above the deltoid muscle of the upper arm was measured in 220 adults using high frequency ultrasonography. 58:58.489 --> 59:04.712 A wide variation exists in the thickness of the deltoid fat pad with women having significantly more subcutaneous fat than men. 59:05.332 --> 59:06.233 No way! 59:07.585 --> 59:21.516 A standard 5 eighth inch needle would not have achieved sufficient penetration for true deltoid intramuscular injection in 17% of men and nearly 50% of women in the study population. 59:21.576 --> 59:25.980 For men weighing 59, maybe safer to use a one inch needle. 59:26.380 --> 59:30.063 And for women over 90 kilograms, you might need a one and a half inch needle. 59:30.544 --> 59:33.026 Oh, you're a pretty fat lady. 59:33.386 --> 59:34.987 We got a special one for you. 59:36.670 --> 59:42.275 Health care professionals may hesitate to use longer needles on the ground that they are likely to cause the patient more discomfort. 59:42.315 --> 59:49.141 However, skeletal muscle has a poor supply of pain fibers compared with skin and subcutaneous tissue, which you still have to go through. 59:50.182 --> 59:52.224 Consideration should be given to needle gauge. 59:52.284 --> 59:52.825 That's this. 59:53.846 --> 59:57.749 A wide bore needle ensures the vaccine is dissipated over a wider area. 01:00:00.771 --> 01:00:06.694 Reducing the risk of localized, ooh, I don't know that that's, how is that the case? 01:00:08.375 --> 01:00:08.875 That's weird. 01:00:09.256 --> 01:00:13.358 A standard size needle will not guarantee successful intramuscular injection in all people. 01:00:13.678 --> 01:00:27.406 When intramuscular injection vaccine administration is needed to ensure optimal immunogenicity and minimize local reactions, a selected of non-fixed needles, pre-filled syringes may have provided with a fixed needle on the barrel. 01:00:28.300 --> 01:00:38.769 See, so he's arguing against the vaccine technologies, the fill and finish vaccine technologies that Robert Malone has been brokering for a couple decades now. 01:00:39.189 --> 01:00:41.110 Maybe that's the problem. 01:00:41.491 --> 01:00:46.835 Should be able to allow healthcare professionals to select the length and gauge of needle appropriate to each patient. 01:00:46.875 --> 01:00:50.198 What an interesting idea here we're at. 01:00:52.452 --> 01:00:56.635 So just to summarize, I think that RNA cannot pandemic and they won't argue with that. 01:00:57.516 --> 01:01:03.560 In fact, now that we've established it, Sukrit Bhakti says that we shouldn't talk about it anymore, which I kind of find funny. 01:01:04.641 --> 01:01:06.202 Intramuscular injection is dumb. 01:01:06.262 --> 01:01:12.126 I think that's also something that they won't challenge because the best challenge that they have is what we just read. 01:01:14.013 --> 01:01:18.557 And yes, it was a transfection and transformation in the population pyramids, but let me just explain it. 01:01:18.717 --> 01:01:21.339 Okay, let me just explain it frame by frame it. 01:01:23.722 --> 01:01:28.186 I get kind of tired, you know, sometimes I think I'm leading horses to water and they don't drink. 01:01:29.347 --> 01:01:32.589 But I'm gonna keep working because I think it's worth it. 01:01:32.830 --> 01:01:35.292 If nothing else, it helps me work out some of these ideas. 01:01:36.676 --> 01:01:43.659 So I've drawn this picture before with the intention of trying to illustrate how bad intramuscular injection is as an idea. 01:01:44.440 --> 01:01:47.061 And biologically, I think it's extremely bad. 01:01:47.121 --> 01:01:53.124 But one of the interesting things about this diagram, and this diagram is composed essentially of a tube. 01:01:54.325 --> 01:02:00.948 It is a tube that is you with one side branch of the tube, which is your lungs, okay? 01:02:01.940 --> 01:02:06.748 And then this is essentially a simplified version of the human body. 01:02:08.076 --> 01:02:33.415 and if we draw the outside here like this and then we make this a hole like that here you see and this can also be a hole right here and then essentially you have the inside right this tube and this tube is on the outside here that's a hole and a hole so food can go in that hole and then the waste products come out this hole and also air can go in this hole 01:02:35.626 --> 01:02:37.407 And it can go back out the same hole, see? 01:02:37.708 --> 01:02:39.068 Air goes in, air goes in. 01:02:44.512 --> 01:02:47.475 Air, food, and waste, yeah? 01:02:48.555 --> 01:02:56.261 And so the argument against intramuscular injection is that, I hope this red is full. 01:02:56.381 --> 01:02:59.223 I might not have filled this pen, so I apologize if it's not full. 01:02:59.783 --> 01:03:04.367 The idea is, is that at the border here, there is the immune system. 01:03:05.134 --> 01:03:15.178 The immune system is organized around the border and that border is the skin and it is all the epithelium inside your gut and all the epithelium inside your lungs. 01:03:15.278 --> 01:03:15.518 Yes. 01:03:16.619 --> 01:03:18.059 And so that's why I draw it like this. 01:03:18.159 --> 01:03:25.822 And then this is the other side of the diagram because you've been, you've been turned into a grapefruit and you've been cut in half, but wow, this is really bad. 01:03:25.962 --> 01:03:27.043 I got to put my glasses on. 01:03:27.283 --> 01:03:27.923 That's the problem. 01:03:28.891 --> 01:03:30.913 I'm trying to focus back and forth and it ain't working. 01:03:48.072 --> 01:03:55.596 that inside our guts we're essentially carrying around a compost heap and we're not dying with this compost heap inside of us. 01:03:55.916 --> 01:03:57.857 It's not burning out of control. 01:03:57.977 --> 01:03:59.098 It's not toxic. 01:03:59.358 --> 01:04:14.946 It's a real fine balance, in fact, in here with the food we eat that somehow or another, the symbiosis between the bacteria in our gut and ourselves allows us to carry around soil 01:04:16.201 --> 01:04:17.764 in our intestines. 01:04:18.646 --> 01:04:20.369 And that's a pretty magnificent feat. 01:04:21.110 --> 01:04:21.951 It's pretty magical. 01:04:22.252 --> 01:04:28.242 And the reason why intramuscular injection to augment that system is so silly is because you're putting 01:04:29.133 --> 01:04:36.520 intramuscular injection goes right in here to the middle where all of the orientation of the immune system is from inside out. 01:04:36.680 --> 01:04:46.068 The whole organization of phagocytic cells, of the epithelium, of the T cells and B cells, the resident 01:04:47.389 --> 01:04:52.214 The resident cells, they're all organized in a fashion which has an orientation. 01:04:52.414 --> 01:04:56.118 Even in the lungs, there's an inside-out orientation. 01:04:56.158 --> 01:04:58.140 There's an inside-out orientation. 01:04:58.340 --> 01:05:00.502 On your skin, there's an inside-out orientation. 01:05:01.002 --> 01:05:03.364 And in the gut, there's an inside-out orientation. 01:05:04.105 --> 01:05:16.349 And so by putting intramuscular injection as a combination of substances with the intent of augmenting this system here, you are putting it in a place that is actually privileged already. 01:05:16.449 --> 01:05:23.591 It is already thought to be pathogen free or damage associated pattern free. 01:05:25.205 --> 01:05:36.029 Now, the interesting thing about this cartoon is that this is just the cartoon that is designed to explain my intramuscular injection is dumb from the perspective of the immune system. 01:05:36.469 --> 01:05:46.652 But what if we took this picture and we made it contain the hypersymbiosis that we're talking about in Biology 101? 01:05:48.012 --> 01:05:49.433 So I hope this will work. 01:05:49.813 --> 01:05:51.393 I don't know which one of these is blue. 01:05:51.413 --> 01:05:52.934 Is it this one? 01:05:53.968 --> 01:05:55.530 Can you see the blue difference there? 01:05:55.570 --> 01:05:57.052 I hope you can see the blue difference. 01:05:57.092 --> 01:06:06.185 So if we put the bacteria here in our gut as little blue droplets. 01:06:08.018 --> 01:06:14.043 And so these bacteria in our gut are the bacteria that help us digest all of our food and process all of that. 01:06:14.583 --> 01:06:25.272 A lot of work is done by our friends, the bacteria, and they produce and release a lot of byproducts that are useful to us. 01:06:25.652 --> 01:06:30.616 If we didn't have a microbiome, then we wouldn't be able to accomplish all the things that we accomplish. 01:06:30.636 --> 01:06:31.257 We wouldn't live. 01:06:33.183 --> 01:06:35.425 You want to see and do an experiment on this. 01:06:35.465 --> 01:06:44.912 A very easy experiment to do is to go to your local drugstore and buy a product called Miralax and use it for about three weeks. 01:06:45.652 --> 01:06:47.573 Now, please do not do this. 01:06:47.774 --> 01:06:48.594 Do not do this. 01:06:48.754 --> 01:06:56.580 But it is a way that if one really wanted to prove to yourself that this is true, you can do it in a heartbeat because Miralax is a terrible product. 01:06:57.460 --> 01:07:01.143 What Miralax does is it takes all the water out of your intestine. 01:07:03.290 --> 01:07:07.851 And the idea of it is somehow it's supposed to be a laxative. 01:07:09.092 --> 01:07:15.673 But what it does is that it decimates the microbiome. 01:07:15.693 --> 01:07:23.595 And oftentimes when children are prescribed Miralax and they're on it for any length of time, they end up going bananas. 01:07:24.694 --> 01:07:27.135 And there's lots of stories about this. 01:07:27.215 --> 01:07:28.176 People know this. 01:07:28.536 --> 01:07:29.737 They've known it for a long time. 01:07:29.777 --> 01:07:33.719 In fact, CHD has known it for a long time and really hasn't done anything. 01:07:33.739 --> 01:07:50.828 And if you go to CVS right now and you go to their counter, right next to the flu vaccine sign, you will see underneath it, Miralax is available over the counter in large quantities as if anybody that's constipated should just use this product. 01:07:50.868 --> 01:07:53.029 And I cannot stress the danger 01:07:53.888 --> 01:07:57.710 that this product represents to somebody becoming permanently dysregulated. 01:07:59.590 --> 01:08:01.251 So here's your microbiome. 01:08:02.171 --> 01:08:13.056 The most important thing to understand is that the microbiome is composed of bacteria and their phages. 01:08:13.796 --> 01:08:15.417 Now, depending on what book you read, 01:08:16.212 --> 01:08:18.873 You know, you can read a lot of different microbiology books. 01:08:18.993 --> 01:08:24.174 You can read a book like this one, which is titled The Genetics of Bacteria and Their Viruses. 01:08:27.275 --> 01:08:30.036 Or you can read a book like Virology. 01:08:31.476 --> 01:08:34.757 And there are very, very different conclusions that you will come to. 01:08:34.797 --> 01:08:44.720 But let's just suffice it to say that the bacteriophages that are passing through our body freely, through our gut epithelium freely, 01:08:45.868 --> 01:08:52.611 are moving throughout all of our bodies and have been found in the liver and in the brain and in the heart and in all the places that they've looked. 01:08:54.231 --> 01:09:06.176 And so, one of the aspects of this picture, which is never really drawn in Biology 101 textbooks, is that there is continuous phage circulation 01:09:08.502 --> 01:09:10.522 within the gut and throughout the body. 01:09:10.742 --> 01:09:14.243 So the bacteria are not necessarily moving across the gut wall. 01:09:14.303 --> 01:09:19.424 They might move in and out of the Peyer's patches every night, but they're not moving in and out of the gut wall. 01:09:19.464 --> 01:09:21.585 They're basically trapped in the mucus. 01:09:23.785 --> 01:09:33.187 And so the phages are the ones that have the ability to move freely through the mucus and move freely past the epithelial barrier into circulation. 01:09:34.554 --> 01:09:51.178 And so one of the things as these phages are in circulation that could happen is that we could make antibodies to certain phages and preferentially support the phage communication of certain kinds of microbes in our gut. 01:09:51.718 --> 01:10:00.960 Essentially, if there are certain microbes which are beneficially using phages to communicate and enrich each other's environment, 01:10:01.560 --> 01:10:16.358 then we could help those microbes by selecting their phages and working against or eliminating the phages of other microbes that we don't necessarily want and have not developed a symbiotic relationship since we were born. 01:10:18.393 --> 01:10:22.195 bacteria can pass through the mammary glands of your mother. 01:10:22.256 --> 01:10:31.241 And so if you were breastfed, its chances are that the majority of your gut microbiome was established by the bacteria which passed through your mother's milk. 01:10:31.361 --> 01:10:46.211 And therefore, your body would also learn the phages of those bacteria first in infancy and probably then develop a bias to them in the sense of when new bacteria started to become present in your gut as you ate new food. 01:10:49.653 --> 01:10:56.257 that those bacteria would have a hard time competing with the resident bacteria from the very beginning because their phages won't be tolerated. 01:10:58.658 --> 01:11:12.806 And so you can see the potential for disaster if your immune system is primarily there as part of a hyper symbiosis between you and that bacterial colony, that soil that you're carrying around in your gut. 01:11:15.008 --> 01:11:18.290 And that interplay is impossibly complex. 01:11:19.298 --> 01:11:33.441 And so trying to augment that by intramuscular injection becomes even more preposterous than before you thought of our symbiosis as so special as this, as so primary as this. 01:11:33.561 --> 01:11:43.824 And this is just the first very thin layer of a new biology 101, where you don't just think of the individual as the person in the genes. 01:11:45.950 --> 01:11:50.212 But you think of him or her as a pattern integrity with a trajectory across time. 01:11:52.992 --> 01:11:54.013 It's a terrible picture. 01:11:54.313 --> 01:11:56.394 We're going to draw much better pictures in the future. 01:11:58.714 --> 01:12:02.236 But I'm just trying to get these ideas out there in a way that people can understand them. 01:12:02.836 --> 01:12:05.577 And I think I got to take a lot of shots at it before I'm going to get it right. 01:12:06.797 --> 01:12:08.938 And so I'm going to keep working on that. 01:12:10.038 --> 01:12:13.400 And I hope you'll be here for me as we keep going with this. 01:12:15.805 --> 01:12:40.891 So I think it's really important to explain to our kids how amazing that background is, how irreducibly complex the background of bacteria and their phages are in our microbiome, on our skin, in our environment, such that it is impossible for them to have tracked with such high fidelity a signal like the spike protein or an N protein or H5N1 avian flu. 01:12:44.346 --> 01:13:01.259 And of course, the most parsimonious example for the jumping of species of COVID or the jumping of species of an avian flu is that they're just infecting the same bacteria and that we all share a common set of symbiotic bacteria. 01:13:02.440 --> 01:13:03.922 We have a common theme. 01:13:05.303 --> 01:13:11.347 And so it's not surprising if occasionally we find a signal that should be tied to phage communication 01:13:12.270 --> 01:13:16.897 And we find that signal across lots of contemporary species. 01:13:16.958 --> 01:13:22.687 That's not that surprising because again, the foundation of life on earth is the microbiome. 01:13:23.668 --> 01:13:25.691 We carry soil in our guts. 01:13:27.981 --> 01:13:29.782 We can think our way out, ladies and gentlemen. 01:13:29.802 --> 01:13:31.063 That's what a biology coach is. 01:13:31.103 --> 01:13:38.726 I'm trying to get this stuff running on the hardwood, and it's gonna happen, but I'm just this close, I'm this close. 01:13:39.207 --> 01:13:42.868 Just to very review the Bad Biology 101, evolution because DNA. 01:13:42.888 --> 01:13:44.509 So DNA equals genes. 01:13:44.649 --> 01:13:46.970 Once they got there, now they can do whatever they want to. 01:13:47.030 --> 01:13:49.592 Genes is such a big word, they can use it for whatever they want. 01:13:50.012 --> 01:13:51.873 But genes generally cause disease. 01:13:52.513 --> 01:13:56.857 or genes create vulnerabilities that autism jumps out from. 01:13:57.678 --> 01:14:04.525 Genes code for proteins, but that's not sufficient to explain the pattern integrity with a trajectory across time. 01:14:05.045 --> 01:14:09.930 But, nevertheless, these people have made an argument for a very long time that genes 01:14:11.349 --> 01:14:14.191 are the nature of the nature versus nurture. 01:14:14.211 --> 01:14:22.637 But since genes don't have the trajectory across time in them, because genes just code for proteins, then that's not possible. 01:14:22.717 --> 01:14:24.418 That's not all there is. 01:14:25.199 --> 01:14:26.540 So it's already an illusion. 01:14:27.441 --> 01:14:32.523 If we keep going with this, then you can see that their model, most DNA is unnecessary. 01:14:32.643 --> 01:14:34.024 That's gotta be ridiculous. 01:14:34.844 --> 01:14:37.345 Because again, they're missing most of the data that's required. 01:14:38.226 --> 01:14:39.987 What diseases are nurtured then? 01:14:40.027 --> 01:14:41.767 This is one question you might ask yourself. 01:14:41.787 --> 01:14:43.988 Where are the codes for the trajectory across time? 01:14:45.089 --> 01:14:47.590 And which one do we need to understand more? 01:14:47.650 --> 01:14:53.813 This is all part of the sort of illusion that they are perpetuating with this bad biology. 01:14:54.943 --> 01:15:03.407 But you can break out by realizing that most DNA is not understood, that protein sequences does not make a pattern integrity. 01:15:03.908 --> 01:15:10.671 If you realize that genes limit the possibilities or create limits on the possibilities, and that's about all they can do. 01:15:11.152 --> 01:15:14.173 They provide a template, maybe a storage thing, we don't know. 01:15:14.253 --> 01:15:15.414 But the idea 01:15:15.954 --> 01:15:18.896 that we already understand it is absurd. 01:15:19.676 --> 01:15:24.158 Self-assembly of proteins and folding and this kind of thing is definitely not the answer. 01:15:24.198 --> 01:15:29.721 You can't just mix all these things in the right quantity and now you'll have life, even though that's also part of this. 01:15:29.761 --> 01:15:37.905 And I think a good idea that I'm gleaning from Joshua Lederberg is the idea of eugenics versus euphenics. 01:15:37.985 --> 01:15:39.946 It's still kind of a dichotomy that I don't like. 01:15:40.546 --> 01:15:45.248 But it is a side of the coin that heretofore has not really been discussed. 01:15:45.329 --> 01:15:51.832 So eugenics would be the idea of, oh, we're going to fix the genes that are bad and make humans better. 01:15:51.872 --> 01:15:56.214 We're going to take over the evolution of the species by changing the DNA. 01:15:57.975 --> 01:16:01.317 Joshua Lederberg would have said that's absolutely ridiculous. 01:16:01.858 --> 01:16:12.685 Until we understand the euphenics, how to optimize development, how to optimize the trajectory across time, then we can't possibly understand how to change the 01:16:14.520 --> 01:16:16.881 plan for that trajectory across time. 01:16:16.901 --> 01:16:18.442 We have to understand that first. 01:16:18.922 --> 01:16:23.685 And so again, I'm just trying to accentuate the idea that this bad biology is what got us here. 01:16:23.705 --> 01:16:24.605 It's what we're trapped. 01:16:25.065 --> 01:16:28.307 There are no diseases blamed on bacteriophages. 01:16:29.108 --> 01:16:37.152 He had a very parsimonious explanation for why the bird flu is now found in so many different places is because it is a bacteriophage. 01:16:38.552 --> 01:16:43.115 The signal that they are purporting is bird flu is actually a bacteriophage signal. 01:16:43.877 --> 01:16:45.677 What signal do they say they're finding? 01:16:45.717 --> 01:16:48.118 We don't know because they don't need to say it anymore. 01:16:48.158 --> 01:16:53.639 Because we're so far down in this narrative trap that they don't even need to say it anymore. 01:16:53.659 --> 01:16:56.800 Bacteriophages are free to pass the gut barrier. 01:16:56.840 --> 01:17:00.601 They've been found wherever we look for them and they are very abundant. 01:17:00.701 --> 01:17:05.662 Interestingly, they are free to move through mucus. 01:17:07.103 --> 01:17:08.323 Just like on coral reefs. 01:17:09.912 --> 01:17:14.837 just like in the slime of fish, just like in the mucus of your gut, and in your lungs. 01:17:15.217 --> 01:17:20.582 And there is a fundamental reason for it, because that is a fundamental part of the hypersymbiosis. 01:17:23.666 --> 01:17:33.573 And mitochondria, they are the remnants, they are the endosymbionts, and it is very possible that there is phage communication between the mitochondria of our cells and our microbiome directly. 01:17:34.153 --> 01:17:36.074 What is a pie with a tat? 01:17:36.214 --> 01:17:39.196 What is a pattern integrity with a trajectory across time? 01:17:39.737 --> 01:17:43.399 I really think this is our task at hand. 01:17:43.779 --> 01:17:51.985 We have to take these ideas, the ideas about mitochondria, we have to think about payers patches, we have to think about what antibodies really do 01:17:52.847 --> 01:17:54.529 and whether they interact with phages. 01:17:55.830 --> 01:18:05.220 And if that's the case, then this pattern integrity with a trajectory across time has to do with mitochondria being endosymbionts, part of that phage communication. 01:18:05.300 --> 01:18:10.886 So messing with the immune system is messing with the regulation of mitochondria. 01:18:11.026 --> 01:18:11.807 Weird, right? 01:18:11.847 --> 01:18:13.369 That autism is mitochondria. 01:18:15.492 --> 01:18:18.333 And that endosymbiosis is really Lynn Margulis. 01:18:18.914 --> 01:18:24.036 If you're looking for a book, you're looking for Symbiosis in Cell Evolution by Lynn Margulis. 01:18:24.176 --> 01:18:24.676 It's a good one. 01:18:24.696 --> 01:18:25.657 You can get it on eBay. 01:18:26.557 --> 01:18:29.718 Peyer's Patches versus Rhizophagy. 01:18:30.319 --> 01:18:32.200 That will be our journal club in a couple days. 01:18:33.921 --> 01:18:43.167 You can learn a lot by looking at how plants roots interact with soil bacteria and how nutrients are extracted from soil bacteria. 01:18:43.307 --> 01:18:47.610 And then maybe see an interesting analogy with payers patches. 01:18:48.951 --> 01:18:50.893 Ladies and gentlemen, this is for all the marbles. 01:18:51.313 --> 01:18:52.674 This is for your grandchildren. 01:18:52.694 --> 01:18:55.216 That's why there's a fake anti-vax movement in America. 01:18:55.596 --> 01:19:01.040 You have to learn why and what this background is composed of and what Joshua Lederberg knew. 01:19:01.560 --> 01:19:07.051 and what Lynn Margolis knew and what we're learning again, what Brandy probably would have loved to learn with us. 01:19:08.065 --> 01:19:09.366 Thank you very much for being here. 01:19:09.406 --> 01:19:14.388 Don't forget they have not differentiated from the background That was it. 01:19:14.548 --> 01:19:15.209 I think that's it. 01:19:15.269 --> 01:19:16.389 I'm just gonna end it right there. 01:19:16.590 --> 01:19:18.851 That's gonna be repeated This is gonna go here. 01:19:19.451 --> 01:19:26.395 So I will just say this one again Non-specific PCR tests with placebos ladies and gentlemen, it's very very easy. 01:19:26.495 --> 01:19:27.275 Very very simple. 01:19:27.815 --> 01:19:34.739 Thank you much for being here Thank you everybody for sharing the stream and I will see you again tomorrow 01:19:35.615 --> 01:19:37.436 I think we're going to try to put a little streak together. 01:19:37.456 --> 01:19:44.140 I don't know how many days in a row we'll get to, but I feel like there's a lot of work to be done and there are a lot of study halls. 01:19:45.341 --> 01:19:49.963 So I'll start with like a short study hall and then I'll do a journal club or something like that afterward. 01:19:51.384 --> 01:19:52.565 Double headers for a while. 01:19:53.265 --> 01:19:56.147 Thank you very much for being here and I will see you again tomorrow. 01:21:23.085 --> 01:21:25.133 Share it everywhere, ladies and gentlemen. 01:21:25.294 --> 01:21:26.137 Share it if you can. 01:21:26.178 --> 01:21:26.800 Thank you very much. 01:21:26.820 --> 01:21:27.282 See you tomorrow.