WEBVTT 00:00.000 --> 00:10.800 Early, what I want is high morbidity. 00:10.800 --> 00:12.680 I want people to complain. 00:12.680 --> 00:13.760 So what do I do? 00:13.760 --> 00:15.280 I go to Des Moines. 00:15.280 --> 00:17.600 Ladies and gentlemen and people on the screen, I have nothing against Des Moines, I live 00:17.600 --> 00:18.600 there for four years. 00:18.600 --> 00:22.800 I go to Des Moines, I infect a couple of sentinel cases in Des Moines. 00:22.800 --> 00:26.400 I go to Seattle, I infect a couple of cases there. 00:26.400 --> 00:30.360 I go to North Carolina, I go to Wisconsin. 00:30.360 --> 00:35.040 What I'm doing is I'm using a dispersion methodology to be able to infect sentinel cases with a 00:35.040 --> 00:37.560 highly morbid condition. 00:37.560 --> 00:38.560 These individuals complain. 00:38.560 --> 00:42.320 Again, this is a central nervous system condition, so they're complaining of whatever the bug 00:42.320 --> 00:43.320 may do. 00:43.320 --> 00:49.000 It'll produce some cascade of neurological and neuropsychiatric signs and symptoms. 00:49.000 --> 00:53.480 And then what I do, the real bug that I use is the internet. 00:53.480 --> 00:54.880 I take attribution for that. 00:54.960 --> 00:56.920 Yes, I'm a terrorist group. 00:56.920 --> 01:00.840 And I have done this by infecting with a highly little agent and the first signs and symptoms 01:00.840 --> 01:03.640 of lethality are X, Y, and Z. 01:03.640 --> 01:05.600 These people are really sick with this. 01:05.600 --> 01:12.240 But then I say, others who are also infected will show subdramal, predramal signs of lethality 01:12.240 --> 01:17.880 and what that will be is anxiety, sleeplessness, agitation. 01:17.880 --> 01:22.480 What I've now done is I've got every individual who is diagnostically hypochondriacal and I've 01:22.520 --> 01:26.360 got every individual who's worried well, flooding the public health system, banging 01:26.360 --> 01:27.600 on the door. 01:27.600 --> 01:31.560 The CDC comes back and says, nonsense, that's not real. 01:31.560 --> 01:35.160 I come back and say, that's fake news. 01:35.160 --> 01:39.320 And as a consequence of doing that, what I do is I create a schism between the polis 01:39.320 --> 01:41.200 and the public health system. 01:41.280 --> 01:47.080 I fracture the integrity of trust and reliance upon the population and its government. 02:03.800 --> 02:06.800 January 28, 2024. 02:06.800 --> 02:08.600 Welcome to Giga Own Biological. 02:11.200 --> 02:13.200 Glad all of you can join me. 02:13.200 --> 02:19.360 I'm trying to do a little early one and then maybe I can also do one later with a little 02:19.360 --> 02:20.360 more meat on it. 02:20.360 --> 02:21.360 I don't know. 02:21.360 --> 02:23.360 This one might be already a couple hours. 02:23.360 --> 02:24.360 We'll see what we do. 02:24.360 --> 02:29.200 I've got a basketball game this afternoon, I need to attend, and so I'll let you know 02:29.200 --> 02:30.200 what's up. 02:30.200 --> 02:35.200 We might have to stop this one a little early, but I think we're going to be able to make 02:35.200 --> 02:36.200 a good point here. 02:36.200 --> 02:44.840 I'm afraid that the latest data tells us that we're dealing with essentially a worse case 02:44.840 --> 02:45.840 scenario. 02:45.840 --> 02:49.440 I'm afraid that the latest data tells us that we're dealing with essentially a worse case 02:49.440 --> 02:50.440 scenario. 03:06.200 --> 03:23.920 The schedule for 16 minutes next is going on French, British, Italian, Japanese television. 03:23.920 --> 03:27.120 People everywhere are starting to listen to him. 03:27.120 --> 03:28.120 It's embarrassing. 03:28.120 --> 03:38.400 The rules, protect yourself at all times, follow my instructions, keep it clean, touch 03:38.400 --> 03:41.400 gloves if you wish, let's do it. 03:41.400 --> 03:42.400 20 pounds. 03:42.400 --> 03:43.400 This is so crazy. 03:43.400 --> 03:44.400 Like these bumps. 03:44.400 --> 03:45.400 This is so crazy. 03:45.400 --> 03:46.400 I feel so nervous. 03:46.400 --> 03:47.400 Like what in the world, man? 03:47.400 --> 03:54.400 We have been challenged lately in the public square that is Twitter X, to be able to see 04:17.400 --> 04:24.040 you try and more formalize our challenge to virology and I think we would be wise to 04:24.040 --> 04:29.400 move forward with caution because lots of people have tread this water before and so 04:29.400 --> 04:31.400 I'm pretty excited. 04:31.400 --> 04:32.400 Wow. 04:32.400 --> 04:44.200 Somebody lost a 42 year old friend to a brain and you're just, well, there's a downer. 04:44.200 --> 04:52.080 I'm not really sure what to say about that other than we're going to keep this fight 04:52.080 --> 04:57.440 up for everybody who's lost a friend and obviously it's still happening. 04:57.440 --> 05:01.440 I'm afraid Colin, I'm afraid it's going to get worse, not better. 05:01.440 --> 05:04.080 That's the issue here. 05:04.080 --> 05:13.280 That's the issue I feel is that that's where we are. 05:13.280 --> 05:20.160 They have manipulated us and we need to be the people that can hold the light to the 05:20.160 --> 05:21.640 truth. 05:21.640 --> 05:22.640 It's about the history. 05:22.640 --> 05:24.480 It's also about what's happening right now. 05:24.480 --> 05:30.360 It's about our recent history and our deep history and about things that some people just 05:30.360 --> 05:37.200 will not, will refuse to see. 05:37.200 --> 05:44.240 It's all about their God, AI and solving humanity's futuristic problems and they feel 05:44.240 --> 05:46.240 like they only have one chance in history. 05:46.240 --> 05:48.120 They've been bamboozled by themselves. 05:48.120 --> 05:57.680 They've been, they're bamboozling each other about this stuff. 05:57.680 --> 06:02.000 I got, I got called out on Twitter the other day because I don't call anybody out in big 06:02.000 --> 06:03.000 pharma. 06:03.000 --> 06:05.840 I don't call anybody out in the who or anywhere else. 06:05.840 --> 06:14.480 My goodness, the kind of thing that passes for debate on that platform is absolutely 06:14.480 --> 06:15.480 laughable. 06:15.480 --> 06:20.040 If you can't see the brick wall right now, I think we're in big trouble. 06:20.040 --> 06:26.440 Hopefully everybody here can see the brick wall of course, but that's 46 of you, 47 counting 06:26.440 --> 06:27.440 me. 06:27.440 --> 06:35.680 That's not a lot and we need to share this just a little bit more if you don't mind. 06:35.680 --> 06:52.960 This is a stream brought to you by a patch clamp physiologist. 06:52.960 --> 06:59.520 GigaOM is a resistance measurement, a value of resistance that you want to achieve when 06:59.520 --> 07:04.920 you're making these recordings and so I named this stream GigaOM biological and you can 07:04.920 --> 07:11.280 find that at dot com, you can also find us at GigaOM dot bio, which is a area placed 07:11.280 --> 07:12.280 in chat. 07:12.280 --> 07:17.320 You can support me with one time donation at the support GigaOM and then there's also 07:17.320 --> 07:24.800 a way to subscribe and I would really strongly encourage anybody who's been sitting on their 07:24.800 --> 07:29.840 hands about this to get on board right now because this, we've got about two months to 07:29.840 --> 07:35.720 see if we can push this boat out or if we're going to have to make some drastic changes 07:35.720 --> 07:37.800 to how we move forward. 07:37.800 --> 07:46.040 Right now the people that are helping us, helping my family try to push this boat out 07:46.040 --> 07:49.000 are listed here and it's not the only people. 07:49.000 --> 07:52.080 There's also some people who've made some single donations that I haven't been able 07:52.080 --> 07:57.280 to get onto the board yet and so you've got to apologize to me or I got to apologize 07:57.280 --> 07:59.880 to you for that. 07:59.880 --> 08:05.720 My wife and I, my wife has started to actually work for GigaOM biological in that respect 08:05.720 --> 08:20.520 and so communication should get a little better and so hopefully that's the case. 08:20.520 --> 08:22.520 So where are we? 08:22.520 --> 08:27.840 We are pushing back pretty hard now against the traditional idea of a pandemic, the idea 08:27.840 --> 08:33.600 that either a laboratory leak or a bat cave virus started somewhere in late 2019 and then 08:33.600 --> 08:38.240 circulated around the globe with pretty high fidelity, changing color as it went and that 08:38.240 --> 08:39.480 we're in the fifth year of it. 08:39.480 --> 08:45.720 We're pushing very hard against this faith in a novel virus but we can't stop now. 08:45.720 --> 08:47.080 We've got to clean up the mess. 08:47.080 --> 08:53.640 We've got to clean up the recent history mess before it becomes a lie that becomes 08:53.640 --> 08:57.400 the truth because they don't understand that it could have been a background signal, they 08:57.400 --> 09:00.360 don't understand that it could have been clones, they don't understand that it could have been 09:00.360 --> 09:04.360 a combination of many of these things. 09:04.360 --> 09:11.680 And I think it's really important that these ideas are always at the front because they're 09:11.680 --> 09:15.280 going to try and make it seem like, you know, the details of the story. 09:15.280 --> 09:20.400 Taking home gets all the details wrong, he doesn't know all the details. 09:20.400 --> 09:24.000 While they ignore the big messages and the big messages are the ones that we need to 09:24.000 --> 09:29.800 get to our kids, the big messages about this being an illusion, about this being a mythology 09:29.800 --> 09:36.200 that all of these people have somehow or another collectively agreed not to challenge and that 09:36.200 --> 09:40.320 they don't talk about there being no spread in New York City infectious clones, placebo 09:40.320 --> 09:44.840 batches or transfection, they don't talk about the protocols or gain a function being 09:44.840 --> 09:49.400 a mythology and they don't talk about us being fooled in dissolving this mystery because 09:49.400 --> 09:56.680 they are committed to this and they have a spectacular commitment to this lie. 09:56.680 --> 10:01.040 That's what I'm talking about, congratulations on Substack, thank you very much. 10:01.040 --> 10:08.720 It's taken me a little while to get that rolling and now I figured it out in Premiere and so 10:08.720 --> 10:16.000 making the transcript and the subtitles is not a ridiculous task anymore and so that's 10:16.000 --> 10:17.560 pretty fun. 10:17.560 --> 10:24.640 I'm really, really happy about that so thanks very much for noticing that I got that rolling. 10:24.640 --> 10:28.960 Hold on a second, let me get over here. 10:28.960 --> 10:34.240 Thank you very much for joining me, it is 2:40 in the afternoon here in Pittsburgh, Pennsylvania, 10:34.240 --> 10:35.240 USA. 10:35.240 --> 10:40.160 I'm coming to you from the back of my garage, this is Gigoland Biological, hey, high resistance 10:40.160 --> 10:42.560 low noise information brief brought to you by a biologist. 10:42.560 --> 10:49.280 My name is Jonathan Couey and as I said, it's the 28th of January and I don't know, I guess 10:49.280 --> 10:55.840 you can steal my identity now that you know that this is my birthday and I'm 52 but anyway, 10:55.840 --> 11:02.800 this is your 52 year old biologist who's put four hard years of his life into this, it's 11:02.800 --> 11:04.800 pretty crazy. 11:04.800 --> 11:10.240 I have a little plan here and I want to stick to it, oh, there's the secret, I didn't want 11:10.240 --> 11:16.920 that to show up yet, anyway, we will save that, that's fine. 11:16.920 --> 11:19.720 And then I'm going to pull up a new slide deck, it's a quick one and then we're going 11:19.720 --> 11:24.920 to get right to this movie which is actually session five of a gain of function research 11:24.920 --> 11:31.480 meeting from 2016 and I just wanted to do a brief introduction to it to make sure that 11:31.480 --> 11:34.720 we're all on the same page, especially of those of you who might be lucky enough to 11:34.720 --> 11:37.640 join us for the first time. 11:37.640 --> 11:43.040 We are trying to do the honorable thing and tell the truth to the young. 11:43.040 --> 11:49.720 In so doing, we need to dispel this idea which was first most adequately summarized by Edward 11:49.720 --> 11:54.480 Bernays in the early 20th century that the conscious and intelligent manipulation of 11:54.480 --> 12:00.640 the organized habits and opinions of the masses is an important element of democratic society. 12:00.640 --> 12:03.840 And now I want you to think about the fact that this guy came up with this idea in the 12:03.840 --> 12:12.720 20s when there were just newspapers and town criers and bulletins and things like that. 12:12.720 --> 12:19.040 And maybe soon after radio and telegram, but now we're talking about social media and think 12:19.040 --> 12:24.480 about what this statement means in the context of social media, in the context of algorithms 12:24.480 --> 12:32.400 in the context of amplification and whatever they call it, throttling or think about all 12:32.400 --> 12:40.720 of these things which are definitely real, definitely at play so that we get a very distorted 12:40.720 --> 12:41.960 view of the world. 12:41.960 --> 12:48.960 If we look through this particular window, we're going to have a very distorted view of 12:48.960 --> 12:51.960 the world and yet most of us are looking through that window. 12:51.960 --> 12:57.580 Some of us are looking at me through that window right now. 12:57.580 --> 13:07.320 And so in effect, right, in effect, the principal of informed consent has been ignored for the 13:07.320 --> 13:11.440 duration of the pandemic because we've been, you know, scrolling up and down and following 13:11.440 --> 13:15.840 all these people on Twitter and trying to figure out the truth by getting involved in 13:15.840 --> 13:20.560 different DM groups on Twitter and different signal chats and different telegram groups 13:20.560 --> 13:25.760 and different GAB and following locals videos that no one else pays to watch so you have 13:25.760 --> 13:27.200 the inside story. 13:27.200 --> 13:35.760 This is all the same surrendering basically of your informed consent just by overwhelming, 13:35.760 --> 13:39.120 overwhelming you, overwhelming your family and then isolating you as well. 13:39.120 --> 13:47.560 Look at that little girl on the couch. 13:47.560 --> 13:54.440 And so I firmly believe that this is the best American version of the deception that 13:54.440 --> 13:55.440 occurred. 13:55.440 --> 13:59.880 I'm sure it occurred everywhere around the world that they tricked the average TV watching 13:59.880 --> 14:07.600 social media surfing person to think that they were witnessing a sort of bad coverup 14:07.600 --> 14:13.280 of what turns out to be with a result of whistleblowers and leaks. 14:13.280 --> 14:18.160 More or less, a US funded gain of function program in Wuhan that ended up causing this 14:18.160 --> 14:22.400 calamity and we have been led to believe that we solved this problem. 14:22.400 --> 14:27.520 And I've given you this list of things to help you think about how the pandemic was 14:27.520 --> 14:32.320 created, which starts with seeding the gain of function narrative with scientific programs 14:32.320 --> 14:36.520 and peer reviewed publications for years before the pandemic. 14:36.520 --> 14:42.160 And then also remember that there were regular upper level exercises in the government, international 14:42.240 --> 14:48.840 exercises in the government, which drilled these, the response to such a pandemic potential 14:48.840 --> 14:51.960 actually emerging. 14:51.960 --> 14:58.760 And then we seeded mass casualty events with expected outcomes of transfection, at least 14:58.760 --> 15:02.960 let's just say that we didn't do anything to stop that. 15:02.960 --> 15:08.440 And more importantly, what we did was we had a bunch of actors in all different levels 15:08.440 --> 15:15.000 of social media and on mainstream media that we're prepared to, that were set up to were 15:15.000 --> 15:23.760 directed to, were encouraged to seed the narrative of the gain of function, the lab leak and 15:23.760 --> 15:28.640 attributes of the infection, the bad parts of the attributes that go all the way from 15:28.640 --> 15:34.040 heart attacks and myocarditis all the way up to amyloidosis and prion disease as a 15:34.040 --> 15:42.440 way of putting forth ideas which could then be confounded at the time when some of these 15:42.440 --> 15:47.040 symptomologies would emerge as a result of the transfection. 15:47.040 --> 15:53.160 And I believe that these people knew that some of these expected outcomes of mass transfecting 15:53.160 --> 16:00.200 the population could have been known and then could have been purposefully seeded into the 16:00.240 --> 16:07.000 virus narrative early on as the worst case scenario was being pushed behind the scenes 16:07.000 --> 16:10.920 and and off camera. 16:10.920 --> 16:15.320 And you could have participants that were involved in this, that were involved in a national 16:15.320 --> 16:22.680 security priority response, even like people at news, like producers at news programs, 16:22.680 --> 16:29.120 for example, could be could have been briefed secretly to say, Hey, you know, we have to 16:29.120 --> 16:35.480 talk these talking points and the entire news program and the entire all the newscasters 16:35.480 --> 16:39.880 would be clueless as to why their lines were the way that they were there. 16:39.880 --> 16:44.720 It's not a whole, you know, the whole channel 11 is not in on it. 16:44.720 --> 16:49.720 It only has to be one person at the top or near the top for this to have been flawlessly 16:49.720 --> 16:54.800 executed at every level of media. 16:54.800 --> 16:58.800 And so in the end, we have this virus and this transfection and it's their effects 16:58.800 --> 17:03.480 confounded and so that we're still arguing about whether it and they added to it. 17:03.480 --> 17:08.920 Of course, they've added this, this contamination and I believe they added this contamination 17:08.920 --> 17:13.200 because the spike protein toxicity narrative didn't take hold. 17:13.200 --> 17:15.440 It wasn't powerful enough. 17:15.440 --> 17:23.840 Maybe the dissident movement didn't bite it as hard as they wanted them to bite it. 17:23.840 --> 17:28.040 And so I have been putting up pictures of all kinds of people that I follow on Twitter 17:28.040 --> 17:32.800 and making the argument that it's the spread of these worst case scenario bad ideas that 17:32.800 --> 17:37.400 allowed this narrative to tumble forward out of control and allowed them to steer it right 17:37.400 --> 17:40.120 toward the need for transfection. 17:40.120 --> 17:41.760 And so a lot of people were just on board. 17:41.760 --> 17:43.280 They're just unwitting. 17:43.280 --> 17:45.800 They didn't know. 17:45.800 --> 17:48.320 And so we've talked about these guys before. 17:48.320 --> 17:52.800 We've talked about these guys before, you know, these guys are the ones who are arguing 17:52.800 --> 17:53.800 now. 17:53.800 --> 18:00.000 I've talked, I've found something very interesting with regard to Sasha Latypova. 18:00.000 --> 18:03.920 I've always wondered, I've been wondering about her, I've had her on my stream before 18:03.920 --> 18:09.800 with regard to the, to the shots and their, and their different batches. 18:09.800 --> 18:15.080 And then since then, she was on stage with Robert Malone and, and Meryl Nast and it's 18:15.080 --> 18:17.640 just been kind of a hands off situation at this stage. 18:17.640 --> 18:22.320 I don't need, I don't think a lot of us need to cooperate and have phone calls and, 18:22.320 --> 18:26.600 and, and have secret meetings all the time if we are all fighting the same thing that 18:26.600 --> 18:27.600 it's going to be fine. 18:27.600 --> 18:30.240 And I think what I see here is evidence of that. 18:30.240 --> 18:33.040 Now, I don't know, but it sure seems kind of cool. 18:33.040 --> 18:39.320 I didn't notice it until now, but this is January 17th, 2024, how to fake pandemics 18:39.320 --> 18:44.760 in four easy steps, due diligence and art is Sasha Latypova's SubStack. 18:44.760 --> 18:50.000 And here she said, she gives a shout out to, to, uh, John Beaudoin, who I consider to 18:50.000 --> 18:54.760 be a really hard working guy who's got a great signal with regard to where the mortality 18:54.760 --> 18:57.120 came from and didn't come from during the entire pandemic. 18:57.120 --> 19:01.840 And he's got a lot of good information about the fact that the protocols were likely murder. 19:01.840 --> 19:02.840 And I love that. 19:02.840 --> 19:04.440 And I love John's work. 19:04.440 --> 19:09.600 And so her, um, saying that that's the case is, uh, is also really cool. 19:09.600 --> 19:13.120 Then down here, she's saying that the Spanish flu is also a fake pandemic. 19:13.120 --> 19:17.080 So that's something that I know my friend, Mark Kulacz would agree with wholeheartedly. 19:17.080 --> 19:25.400 So I mean, two, two, whoops, so so far, she's digging all the bells. 19:25.400 --> 19:27.040 I mean, this is great. 19:27.040 --> 19:31.120 Pandemics are also not possible via science in what is called gain of function research, 19:31.120 --> 19:36.520 which amounts to mostly ridiculous attempts at software enabled sorcery, making soups 19:36.520 --> 19:40.440 of chemical mix with literally shit. 19:40.440 --> 19:44.320 As I discussed you in my previous article, yes, toxic chemicals and shit cause poisoning, 19:44.320 --> 19:46.040 but this does not spread itself. 19:46.040 --> 19:49.760 Of course, these labs should be shut down a waste of money and hazard thanks to Merrill 19:49.760 --> 19:55.560 Nass for this new, um, bulletin of atomic scientists where they talk about lab leaks 19:55.560 --> 19:56.560 and stuff like that. 19:56.560 --> 19:58.120 So here we go again. 19:58.120 --> 20:02.680 One way to look at this is that, that lab leaks mean that we're in trouble and there's 20:02.680 --> 20:07.800 going to be another, uh, pandemic or another way to look at it is is that the background 20:07.800 --> 20:10.120 is much richer. 20:10.120 --> 20:15.760 The background is much hotter in terms of PCR and in terms of coronavirus sequences and 20:15.760 --> 20:20.760 coronavirus diversity than any of these people want to admit, especially because our actual 20:20.760 --> 20:26.320 surveillance of the nine billion people on the planet is ridiculously low and has always 20:26.320 --> 20:31.920 been except for these last two or three years from 2020 onward. 20:31.920 --> 20:32.920 And so this is cool. 20:32.920 --> 20:38.600 This is a shout out to Merrill Nass, Merrill Nass being, um, a woman who has her own new 20:38.600 --> 20:41.920 nonprofit called doors to freedom or something like that. 20:41.920 --> 20:48.200 And also was a longtime advisor to CHD, uh, an organization that you and I both know 20:48.200 --> 20:50.440 that I really, really admire. 20:50.440 --> 20:56.600 So this is still, I mean, now we're on page two and we're, we're still just, you know, 20:56.600 --> 21:00.360 so hey, I mean, work hard, die rich, I guess is working out for her. 21:00.360 --> 21:04.400 And all pandemics to date have been faked by the military industrial globalist cabal, 21:04.400 --> 21:09.760 which sounds kind of like what we've come to the conclusion of over the last year or 21:09.760 --> 21:10.760 so. 21:10.760 --> 21:17.680 Um, sorry, JFK, RFK, despite your desire to appear middle ground, um, by including a 21:17.680 --> 21:23.400 lie with a majorly true majority truthful statement, COVID pandemic was also faked using 21:23.400 --> 21:25.640 the same basic script actors and funding. 21:25.640 --> 21:26.640 So that's interesting. 21:26.640 --> 21:27.640 I wonder what that video is. 21:27.640 --> 21:28.880 I won't play that now. 21:28.880 --> 21:34.200 But again, here she is kind of criticizing, uh, Bobby Kennedy for not going far enough, 21:34.200 --> 21:41.000 um, to say that the pandemic is fake, which is very, very interesting because again, remember, 21:41.000 --> 21:48.040 if they used enough clones, then from a molecular biological perspective, the pandemic doesn't 21:48.040 --> 21:51.800 need to be faked. 21:51.800 --> 21:56.640 And I think what we're dealing with here now is just realizing that there is a way to apply 21:56.640 --> 22:02.280 these techniques with the proper investment, the proper, the proper, whatever. 22:02.280 --> 22:06.920 I mean, you can call it Keystone cop if you want to, but moving viruses around is quite 22:06.920 --> 22:12.120 a bit easier than moving WMDs or, or missiles or things like that. 22:12.120 --> 22:16.360 I mean, we're talking about very small quantities being able to do in theory, very big things, 22:16.360 --> 22:23.640 especially if the only thing you want to do is have a PCR or a sequencing signal. 22:23.640 --> 22:25.960 Because the DNA could be put on people's clothes. 22:25.960 --> 22:27.920 It could be contaminated on swabs. 22:27.920 --> 22:30.000 It could be put purposefully in tests. 22:30.000 --> 22:34.760 There are a million ways to make enough DNA for this signal to go all around the world 22:34.760 --> 22:39.480 for sure, not by itself. 22:39.480 --> 22:41.440 And that's the point. 22:41.440 --> 22:42.680 That's the argument we're making. 22:42.680 --> 22:43.680 So this is okay. 22:43.680 --> 22:45.320 I mean, that's not bad. 22:45.320 --> 22:48.640 And then whoa, hey, look, what is the pandemic script? 22:48.640 --> 22:49.960 Let's hear it from the horse's mouth. 22:49.960 --> 22:57.120 And she shows James Giordano and the actual video that I've been using for almost three 22:57.120 --> 22:58.960 years now. 22:58.960 --> 23:04.600 It's hard to believe that she didn't see it on our work. 23:04.600 --> 23:10.320 And it's, you know, okay, I don't care because these ideas are getting out. 23:10.320 --> 23:18.600 If she never attributes this to me, but more people through her Substack come to realize 23:18.600 --> 23:20.240 that the pandemic could have been. 23:20.240 --> 23:27.680 And it's a really good possibility that it was almost exclusively a lie, a coordinated 23:27.680 --> 23:31.240 spectacular commitment to lies. 23:31.240 --> 23:35.880 And that lie being the worst case scenario, then this is great. 23:35.880 --> 23:46.000 You have to see if this is worst case scenario, this is imitation, which is flattery, right? 23:46.000 --> 23:50.840 This case scenario, it's just, I guess, great minds think alike or something like that. 23:50.840 --> 23:51.840 But this is good. 23:51.840 --> 23:52.840 This is good. 23:52.840 --> 23:57.200 I consider it kind of, I don't know, I didn't see it until now, so I can call it a little 23:57.200 --> 23:58.200 birthday present. 23:58.200 --> 24:04.760 Anyway, I think the most important thing to see is that as everybody makes and fans the 24:04.760 --> 24:11.720 flames of hatred and frustration over Cooey being a divider or Cooey being out of his 24:11.720 --> 24:16.920 lane or whatever Cooey is doing six hour Scooby-Doo's instead of doing sequence searches 24:16.920 --> 24:23.180 on NCBI, we don't talk about these messages, which I think are the most important ones. 24:23.180 --> 24:29.480 If we can pass on to our children the immunology and general biology and appreciation for the 24:29.480 --> 24:34.840 sacred to understand that intramuscular injection of any combination of substances with the intent 24:34.840 --> 24:40.000 of augmenting the immune system is dumb, then our children and more importantly, our grandchildren 24:40.000 --> 24:42.360 will be fine. 24:42.360 --> 24:46.920 If we can teach our college age kids the transfection and healthy humans should be considered 24:46.920 --> 24:53.400 criminally negligent, we can turn those college age kids on their college faculty. 24:53.400 --> 24:57.120 Because it is their college faculty and I would go so far as to say specifically their 24:57.120 --> 25:03.040 natural sciences faculty, their chemistry faculty, their biochemistry faculty, their 25:03.040 --> 25:09.200 biology faculty, their medical school faculties, they should all be turned on. 25:09.200 --> 25:14.160 They should not necessarily be forced to kneel in the hallway or something like that, 25:14.160 --> 25:18.760 but every one of them should be forced to collectively admit as a faculty that they 25:18.760 --> 25:24.720 made a huge mistake by not stepping in front of this train. 25:24.720 --> 25:29.000 Everybody at the University of Pittsburgh should be sending me a card saying sorry dude 25:29.000 --> 25:32.560 were you right, I know they won't. 25:32.560 --> 25:38.720 But I'm saying that if we teach our college kids these truths, then that possibility becomes 25:38.720 --> 25:43.400 closer to reality, we're not going to make that happen, we can't make that happen because 25:43.400 --> 25:49.920 we aren't the ones this battle is about, we aren't the conscious that they're fighting 25:49.920 --> 25:55.160 for, they're fighting for our kids consciousness. 25:55.160 --> 26:00.240 And so in order to help for this, I think that I went back to that list, oh no I guess 26:00.240 --> 26:05.620 I didn't, I thought I did, and this is the first thing on the list, seeding the gain 26:05.620 --> 26:09.820 of function narrative with scientific programs and peer reviewed publications for years before 26:09.820 --> 26:11.340 the pandemic. 26:11.340 --> 26:20.780 Yesterday we watched a video from 2007, which was a bad video lecture of Ralph Baric, 26:20.780 --> 26:25.820 which again I was, I'm still, I still assume it's a sketchy video because it was put up 26:25.820 --> 26:30.820 too late is put up by a weird account that I think is kind of associated maybe possibly 26:30.820 --> 26:32.780 with George Webb. 26:32.780 --> 26:35.340 And it had audio that was edited. 26:35.340 --> 26:36.900 The video was really poor. 26:36.900 --> 26:40.340 And so I'm not sure whether the video is just poor and then people thought you wouldn't 26:40.340 --> 26:42.060 be able to get anything from it. 26:42.060 --> 26:45.660 And they needed to edit those two parts out early because they said something crucial 26:45.660 --> 26:48.540 about his understanding of the infectious cycle. 26:48.540 --> 26:50.100 I'm not really sure. 26:50.100 --> 26:55.460 But I'm assuming that that video in some way or another was make meant to make us Scooby-Doo, 26:55.460 --> 26:58.060 remove the mask of Barrick and say, wow, it's really true. 26:58.060 --> 27:01.660 Now that you remind me, I forgot how incriminating these videos were. 27:01.660 --> 27:06.740 And I think this could be actually an instructive way to push that farther because last night 27:06.740 --> 27:11.340 I think our conclusion was is that Barrick had a number of ideas on how to attenuate 27:11.340 --> 27:18.740 viruses to make vaccines, how to prevent de-attentuation in coronaviruses was big on his radar. 27:18.740 --> 27:25.620 And he was looking to harness what I think he saw as a more ubiquitous signal in nature 27:25.620 --> 27:28.740 and use it as a biotechnology. 27:28.740 --> 27:33.300 And I proposed this three years ago already when I was starting to kind of understand 27:33.300 --> 27:37.100 what was going on with coronavirus and had listened to a lot of what he said and had 27:37.100 --> 27:39.060 listened to this particular symposium. 27:39.060 --> 27:43.540 But now I would like to revisit it because I think it's a really important symposium 27:43.540 --> 27:52.780 and I noticed that my friend Mark Kulacz at Housatonic ITS had built a webpage around 27:52.780 --> 27:53.780 it. 27:54.780 --> 28:00.180 Here, let me clip that out and send it to you on the chat so that everybody can find 28:00.180 --> 28:01.180 it. 28:01.180 --> 28:08.940 If you're not familiar, his website and show are one of the only advertisements that 28:08.940 --> 28:14.380 I have in the beginning of my stream. 28:14.380 --> 28:18.620 And this website has all of the videos there. 28:18.620 --> 28:20.420 It has some of the brochures. 28:20.420 --> 28:22.500 That's where I got this little thing from. 28:22.500 --> 28:23.980 And I didn't peruse the whole thing. 28:23.980 --> 28:25.340 I just queued this thing up. 28:25.340 --> 28:28.260 So this is actually queued up on YouTube. 28:28.260 --> 28:33.180 It's not, I queued it up directly on YouTube, but it's also, the link is also available 28:33.180 --> 28:34.860 on Mark's website. 28:34.860 --> 28:41.020 And I can't stress enough how important it is, this work that Mark does, all this archiving 28:41.020 --> 28:46.100 and all of this, you know, putting everything in one place is so important in light of the 28:46.100 --> 28:50.300 fact that a lot of times I think some of this stuff is just not really archived on purpose. 28:50.300 --> 28:54.220 It's not that it's not out there, but nobody's making an extra effort to be sure that it's 28:54.220 --> 28:55.220 available. 28:55.220 --> 28:59.980 And I think Mark has done just a absolutely breathtaking job of collating some of this 28:59.980 --> 29:06.060 stuff together so that when you follow people through their career or you follow people 29:06.060 --> 29:11.820 through their education or through the development of their ideas, you can really, you know, 29:11.820 --> 29:13.860 link to link to link all on one site. 29:13.860 --> 29:15.940 I mean, it's really a master work. 29:15.940 --> 29:16.940 So kudos to Mark. 29:16.940 --> 29:17.940 Here we go. 29:18.940 --> 29:22.460 Um, an excellent session on the potential. 29:22.460 --> 29:28.020 I do have it at normal speed because they have, they're speaking a lot. 29:28.020 --> 29:29.740 They say a mouthful. 29:29.740 --> 29:33.500 So we'll see how far we can get before I have to go to the game. 29:33.500 --> 29:34.740 I got at least an hour. 29:34.740 --> 29:40.220 So let me ask the four panelists to come up now and we can so get settled in and get 29:40.220 --> 29:50.540 comfortable. 29:50.540 --> 29:55.460 There is King clone. 29:55.460 --> 29:58.220 And that's a dort murder, Dortmer. 29:58.220 --> 30:03.820 He's the guy from Norvartis that makes synthetic flu viruses for vaccines. 30:03.820 --> 30:09.140 And then the third guy is, um, who's that dude? 30:09.140 --> 30:10.340 And then this is denizen. 30:10.340 --> 30:17.300 This is the remdesivir guy and this is, um, the coronavirus editing guy speaking for 30:17.300 --> 30:20.060 for about five minutes and then we'll have a little crush discussion. 30:20.060 --> 30:21.820 So this is going to be kind of cool. 30:21.820 --> 30:23.700 These two dudes are like hardcore. 30:23.700 --> 30:27.140 This guy makes flu virus every year for the vaccine. 30:27.140 --> 30:29.460 So he's like, he knows all about clones. 30:29.460 --> 30:30.460 Trust me. 30:30.460 --> 30:31.460 I'll make this quick. 30:31.460 --> 30:33.620 Um, maybe the next slide, please. 30:33.620 --> 30:38.700 So I'm going to basically present just a little vignette on how gain of function research 30:38.700 --> 30:47.060 and the regulation around research affects a real world case of trying to apply some 30:47.060 --> 30:48.060 virology to Jeffrey. 30:48.060 --> 30:49.060 How are you? 30:49.060 --> 30:50.060 Good to see you, man. 30:50.060 --> 30:54.180 So just a historical reminder that I think most of you are well aware of. 30:54.180 --> 31:01.500 And that is that in 2009, we had the fastest vaccine response in history, but the vaccine 31:01.500 --> 31:04.540 came to market and substantial quantities after the disease peak. 31:04.540 --> 31:09.780 You can see in the brown curve, a peak occurring about October, no substantial quantity 31:09.780 --> 31:13.260 of vaccine was really in the market until probably getting towards December. 31:13.260 --> 31:15.060 So that's not what you want. 31:15.060 --> 31:22.020 In fact, there is an estimate from Boris et al published in EID emerging infectious diseases 31:22.020 --> 31:27.580 that for every week of acceleration vaccine supply in the US, and this is US centric because 31:27.580 --> 31:33.580 that's where the statistics are, would have been an additional 300,000 to 430,000 US cases. 31:33.580 --> 31:37.540 So while in research, you may think in terms of years, in terms of outbreak and pandemic 31:37.540 --> 31:40.060 response, you have to think in terms of days. 31:40.060 --> 31:47.020 And so here, I think it's important to point out that they really are talking in what I 31:47.020 --> 31:50.300 considered to be at least an honest broker way. 31:50.300 --> 31:54.500 What they're arguing is is that if they don't get the vaccine done till here and the peak 31:54.500 --> 31:59.220 of the epidemic is here, then they're not really saving very many people with this vaccine. 31:59.220 --> 32:04.700 And so ideally, we'd be able to make the vaccine back here and then avoid this peak. 32:04.700 --> 32:09.780 So the assumption is, is that if they had gotten this vaccine into these people that 32:09.780 --> 32:14.140 died or whatever, I guess number of cases per week. 32:14.140 --> 32:19.180 So these cases could have been prevented if they'd gotten the vaccine here earlier. 32:19.180 --> 32:23.060 And that's a, that's a pretty bold statement. 32:23.060 --> 32:27.260 But it's an easy statement to make because according to the scheme that they currently 32:27.260 --> 32:30.220 run, they never have the vaccine ready for the peak. 32:30.220 --> 32:33.140 And so there's no peak to avoid. 32:33.140 --> 32:36.420 And they can just say, well, yeah, look, there's no more flu anymore. 32:36.420 --> 32:38.260 Do you see what I'm saying? 32:38.260 --> 32:43.820 It's a little, it's nice to make this argument, but in making this argument, what they are 32:43.820 --> 32:48.260 admitting is that what they do is worthless. 32:48.260 --> 32:51.540 And in fact, no matter how often they do it, they're always behind. 32:51.540 --> 32:53.020 And so it can't really help. 32:53.020 --> 32:56.060 It might, it might as well leave it. 32:56.060 --> 32:57.660 But then you're not going to make these products. 32:57.660 --> 32:58.660 You're not going to make any money. 32:58.660 --> 33:02.820 You're not going to have this warm base of manufacturing as Robert Malone described it 33:02.820 --> 33:06.580 ready and waiting for when the really big one comes, which is what the argument is. 33:06.580 --> 33:12.920 That also Robert F Kennedy Jr. so eloquently explained on his own podcast when I was there. 33:12.920 --> 33:17.460 So they all have this idea that there is a worst case scenario and we do need to be 33:17.460 --> 33:18.460 prepared for it. 33:18.460 --> 33:20.660 And that's legitimate. 33:20.660 --> 33:23.660 Robert Malone has been saying that for many years now. 33:23.660 --> 33:31.100 Robert F Kennedy Jr. will say that Tony Fauci has said that David Holness said that 33:31.100 --> 33:39.180 Sina Bavari said that they all say that and they all say that vaccines come too late. 33:39.180 --> 33:42.020 And so this is the exact same story. 33:42.020 --> 33:51.180 Now what I want you to make note of is that the same blog that put out the video that 33:51.180 --> 33:56.060 we watched last night that I said was, well, it's okay, it's a little, it's nice. 33:56.060 --> 34:01.180 But what it showed to me was that Berwick was really in earnest working on the biological 34:01.180 --> 34:08.740 potential for good that this coronavirus signal represented to him rather than working on 34:08.740 --> 34:12.220 gain a function dual research kind of crap. 34:12.220 --> 34:14.340 That wasn't even in that story. 34:14.340 --> 34:19.660 Now interestingly, that was from 2007 and now that will blog, the same blog that's written 34:19.660 --> 34:26.740 with, is his name, Leak, and then also with Dr. McCulloch has put up a more recent video 34:26.740 --> 34:32.940 from 2018, which we've watched before, which is Ralph Baric giving another talk about 34:32.940 --> 34:40.700 chimeric coronavirus, but very, very dubiously starting with a 10 minute or 15 minute lecture 34:40.700 --> 34:47.180 about planet wide catastrophes and how often they occur, everything from Carrington events 34:47.180 --> 34:50.940 to tidal waves and super volcanoes. 34:50.940 --> 35:00.620 And then of course he's trying to put pandemics into that category of super cataclysmic events 35:00.620 --> 35:11.500 equivalent to a meteor strike or a solar windstorm, a pole reversal or a pandemic. 35:11.500 --> 35:18.020 So that's a pretty huge change in sales pitch from the 2007, which was, you know, 35:18.020 --> 35:23.300 I work on SARS viruses, SARS went around last year and we're working on trying to understand 35:23.300 --> 35:24.300 it. 35:24.300 --> 35:25.300 Here we go. 35:25.300 --> 35:30.900 Instead, he had this 10 or 15 minute pitch about all the worst case scenarios on the planet 35:30.900 --> 35:39.460 in order to frame his research has aimed precisely at one of these worst case scenario targets. 35:39.460 --> 35:42.860 It's extraordinary. 35:42.860 --> 35:49.660 And so this is 2016 and I would go so far as to say, I don't hear it here yet either. 35:49.660 --> 35:53.100 But that we haven't watched the whole six hours of videos or anything like that. 35:53.100 --> 35:56.260 So this is really about responding to a pandemic. 35:56.260 --> 35:57.260 So I'll let it run again. 35:57.260 --> 35:58.260 I apologize. 35:58.260 --> 36:01.460 I just thought I would point that out that that that video is also there, but I chose 36:01.460 --> 36:07.780 not to watch it because I'm not, I'm not convinced that that's the real Ralph Baric. 36:07.780 --> 36:15.580 I'm not convinced that the real Ralph Baric would open his talk with a 15 minute introduction 36:15.580 --> 36:24.420 into, you know, really, he was kind of, he was kind of speculating about some of these 36:24.420 --> 36:25.420 things. 36:25.420 --> 36:30.420 You know, he doesn't know how how devastating a meteor would be or how the geotechnics works 36:30.420 --> 36:31.420 after a meteor strike. 36:31.420 --> 36:33.660 I mean, what's he talking about? 36:33.660 --> 36:34.660 But he did. 36:35.340 --> 36:38.540 I mean, if I was a neuroscientist, I would never start with that. 36:38.540 --> 36:42.060 Even if I worked on pre-on disease and thought that pre-on disease could wipe out the planet 36:42.060 --> 36:47.860 like some people do, I wouldn't start my talk with, well, there are Carington events and 36:47.860 --> 36:55.420 big meteors and pole reversals and tidal waves and, and, and then my stuff, pre-ons. 36:55.420 --> 36:57.780 I mean, that's just crazy anyway. 36:57.780 --> 36:58.780 Here we go. 36:58.780 --> 36:59.780 Next slide. 36:59.780 --> 37:06.580 All in response to that in 2009 event, we worked with the synthetic genomics vaccines 37:06.580 --> 37:07.580 Inc. 37:07.580 --> 37:10.860 One of Craig Viner's organizations and BARDA, part of the U.S. government. 37:10.860 --> 37:16.900 BARDA and the synthetic vaccine or synthetic genome, what did he say? 37:16.900 --> 37:22.020 So they're basically synthesizing, look, they're assembling oligos into flu gene segments 37:22.020 --> 37:26.620 enzymatically, rescuing flu viruses, they're designing and synthesizing. 37:26.620 --> 37:32.500 So they're doing, what I'm talking about, they're manufacturing viruses and they're 37:32.500 --> 37:39.380 making viral stocks using recombinant DNA and RNA technology in order to create viral 37:39.380 --> 37:45.020 stocks that are more homogenous than can be made with traditional culturing methods. 37:45.020 --> 37:47.620 That's my argument. 37:47.620 --> 37:50.740 It's not that I know the fine details. 37:50.740 --> 37:54.420 It's just that I know this is fundamental. 37:54.420 --> 37:58.220 It is a fundamental mythology of all RNA virology. 37:58.220 --> 38:01.380 That's what it is. 38:01.380 --> 38:08.340 And so here you hear him kind of talking around the fact that they are making synthetic clones 38:08.340 --> 38:09.340 of flu viruses. 38:09.340 --> 38:11.700 I'm going to back it up for a couple. 38:11.700 --> 38:16.020 Come up with the scenes, so while in research you may think in terms of years, in terms 38:16.020 --> 38:20.020 of outbreak and pandemic response, you have to think in terms of days. 38:20.020 --> 38:21.020 Next slide. 38:21.020 --> 38:27.860 In response to that in 2009 event, we worked with the Synthetic Genomics Vaccines Inc., 38:27.860 --> 38:33.020 one of Craig Vintner's organizations, and Bardev, I'm sorry, who Craig Vintner? 38:33.020 --> 38:34.020 Craig Vintner's organizations? 38:34.020 --> 38:35.020 I didn't hear that. 38:35.020 --> 38:36.020 Did I hear that correctly? 38:36.020 --> 38:37.020 Is that what he said? 38:37.020 --> 38:38.020 Hold on. 38:38.020 --> 38:39.020 Whoa. 38:39.020 --> 38:40.020 Whoa. 38:40.020 --> 38:41.020 Ah. 38:41.020 --> 38:46.820 In response to that in 2009 event, we worked with the Synthetic Genomics Vaccines Inc., 38:46.820 --> 38:50.860 one of Craig Vintner's organizations, and Bardev, part of the U.S. government, to come 38:50.860 --> 38:56.940 up with the Citizen Inc. 2009 event, we worked with the Synthetic Genomics Vaccines Inc., 38:56.940 --> 39:01.060 one of Craig Vintner's organizations, and Bardev, part of the U.S. government, to come 39:01.060 --> 39:04.660 up with the system to make vaccine viruses much faster. 39:04.660 --> 39:11.900 We synthesize the genes based on sequence available, the synthetic Genomics Vaccines 39:11.900 --> 39:16.460 Inc., one of Craig Vintner's organizations, and Bardev, the U.S. government, to come up 39:16.460 --> 39:19.940 with a system to make vaccine viruses much faster. 39:19.940 --> 39:25.340 We synthesize the genes based on sequence available, basically, on the web, and we use 39:25.340 --> 39:30.100 those to generate the viruses that we would use to make a vaccine. 39:30.100 --> 39:33.460 Did you hear what he just said? 39:33.460 --> 39:40.460 The system was based on genes that were synthesized from sequences found on the web. 39:40.460 --> 39:48.500 I mean, we synthesize the genes based on sequence available, basically, on the web, 39:48.500 --> 39:52.340 and we use those to generate the viruses that we would use to make a vaccine. 39:52.340 --> 39:57.500 We use those to generate the viruses. 39:57.500 --> 40:03.380 We use those to generate the viruses. 40:03.380 --> 40:08.980 So I think what you're missing here, and I think this is what Kevin and everybody on 40:08.980 --> 40:15.420 that side wants us to miss, is that packaging viruses is just transfecting things. 40:15.420 --> 40:20.580 That's what they do when they are transfected with these genomes. 40:20.580 --> 40:21.580 They make exosomes. 40:21.580 --> 40:23.180 They package stuff up. 40:23.180 --> 40:28.420 Sometimes the whole genome gets out, sometimes some garbage RNA from these subgenomic gets 40:28.420 --> 40:29.420 packaged. 40:29.420 --> 40:34.180 It doesn't matter because in the end, they're looking for a collective signal. 40:34.180 --> 40:35.180 If you... 40:35.180 --> 40:37.740 Do I have that on? 40:37.740 --> 40:38.740 Yeah. 40:38.740 --> 40:44.100 If you look at how they sequence something and you see, okay, here's the whole genome. 40:44.100 --> 40:48.220 And then when they do a sequencing reaction, and you'll see this in any paper that you 40:48.220 --> 40:53.100 look at, including the one where they sequence the first SARS genome, they'll have all kinds 40:53.100 --> 40:54.660 of fragments. 40:54.660 --> 40:55.660 And I get it. 40:55.660 --> 40:56.660 They overlap. 40:56.660 --> 41:01.020 And so when they overlap, then you can have all these sequences. 41:01.020 --> 41:05.100 In some places, they'll have lots of coverage, like here, when the end protein, they'll have 41:05.100 --> 41:09.860 lots of coverage of the end, very small coverage here, and maybe there's more coverage 41:09.860 --> 41:14.500 on this end of the genome, something like that, but they're all little tiny fragments. 41:14.500 --> 41:17.420 And then what they're doing is they're taking an average here. 41:17.420 --> 41:19.620 So here, they get this base a lot, right? 41:19.620 --> 41:23.020 So then they assume that this is a really good read. 41:23.020 --> 41:25.340 And then over here, this would be a really low read. 41:25.340 --> 41:29.620 And so they might have also a graph over here that looks like a confidence interval, and 41:29.620 --> 41:31.420 it'll get lower over here. 41:31.420 --> 41:34.820 And then they'll say that they're really sure about this part of the genome, and not 41:34.820 --> 41:36.380 so sure about this part of the genome. 41:36.380 --> 41:42.820 But then they'll still tell you that this is the sequence of the virus. 41:42.820 --> 41:46.900 They'll still tell you that this is the sequence of the virus, and this is the clone RNA that 41:46.900 --> 41:49.820 they will make with a coronavirus. 41:49.820 --> 41:54.900 And with flu, it's a bit more difficult because with flu, I believe there are eight segments 41:54.900 --> 42:01.180 of the genome that are thought to be circular and need to be regulated and copied separately. 42:01.180 --> 42:04.500 And so with flu virus, it's a little more complicated. 42:04.500 --> 42:10.820 And they're also flu viruses, um, bring their RNA into the nucleus, which is also really 42:10.820 --> 42:14.940 interesting because I don't think the coronaviruses do anything with the nucleus. 42:14.940 --> 42:19.540 So that's also a big difference between coronavirus and flu virus, but it's important to understand 42:19.540 --> 42:24.700 that what Dortmer at Mercer, or whatever his name is saying here, is that they worked 42:24.700 --> 42:30.580 with a company called Synthetic Genomics Vaccines, Incorporated. 42:30.580 --> 42:31.580 And that's with Venner. 42:31.580 --> 42:35.980 I might know if I'm spelling his name right, Craig Venner is the guy who wanted to build 42:35.980 --> 42:41.340 a whole database of full human genomes and then sell it back to the pharmaceutical companies. 42:41.340 --> 42:46.140 And so you could give him your, or he would sequence your whole genome for like $3,000 42:46.140 --> 42:52.420 and then also use that as data that he could then, as a database sell back to, he's a really 42:52.420 --> 42:53.420 creepy dude. 42:53.420 --> 42:59.100 And he has been in really a trans human activist for a very, very long time. 42:59.100 --> 43:02.860 I have no doubt in my mind that anybody that worked on the Human Genome Project would have 43:02.860 --> 43:05.380 met Craig Venner at some point. 43:05.380 --> 43:14.620 Anyway, the BARDA partnered up with Novartis and with this company from Venner to synthesize 43:14.620 --> 43:20.660 the genes and make the viruses that they were going to make in the vaccines. 43:20.660 --> 43:26.780 And so, yeah, let's go back and see if we can keep this going. 43:26.780 --> 43:29.340 In theory, it would take about four and a half days. 43:29.340 --> 43:31.420 In fact, we had a test in which we did. 43:31.420 --> 43:36.340 In four and a half days, we went from genes being transmitted to us to a vaccine virus. 43:36.340 --> 43:37.700 Next slide. 43:37.700 --> 43:39.620 And we had a chance to be in three and a half days. 43:39.620 --> 43:42.340 In fact, make a vaccine is much faster. 43:42.340 --> 43:47.460 We synthesize the genes based on sequence available, basically on the web. 43:47.460 --> 43:52.340 And we use those to generate the viruses that we would use to make a vaccine. 43:52.340 --> 43:54.900 In theory, it would take about four and a half days. 43:54.900 --> 43:57.380 In fact, we went from four and a half days. 43:57.380 --> 44:01.940 In four and a half days, we went from genes being transmitted to us to a vaccine virus. 44:01.940 --> 44:03.300 Next slide. 44:03.300 --> 44:06.220 And we had a chance to actually implement that. 44:06.220 --> 44:10.460 In 2013, we went on April 1, Easter. 44:10.460 --> 44:16.020 We got a call saying that, in fact, there was this new H7N9 strain out in China, had 44:16.020 --> 44:17.460 caused fatalities. 44:17.460 --> 44:23.700 The Chinese CDC in a very far-thinking move put the sequence out on the web. 44:23.700 --> 44:28.580 By Monday, the genes were being synthesized, the gene synthesis in California completed 44:28.580 --> 44:30.140 by Tuesday. 44:30.140 --> 44:35.180 The genes synthesized, received in California for viral rescue on Wednesday and sent to 44:35.180 --> 44:38.260 the Centers for Disease Control for their response as well. 44:38.260 --> 44:43.540 By Saturday, we had the vaccine virus confirmed at any by the start of the next week. 44:43.540 --> 44:45.980 It was really fast. 44:45.980 --> 44:47.580 And then the next part starts. 44:47.580 --> 44:48.780 Next slide. 44:48.780 --> 44:53.260 All that activity is at the very beginning of that timeline you see there. 44:53.260 --> 44:57.100 This is the timeline from that same starting point when the sequences were posted on the 44:57.100 --> 45:02.380 web to where we started inoculating our first large-scale fermenter to make clinical trial 45:02.380 --> 45:03.380 material. 45:03.380 --> 45:04.380 It took months. 45:04.380 --> 45:06.220 It was not the science. 45:06.220 --> 45:08.980 It was, predominantly, the regulation. 45:08.980 --> 45:10.780 We couldn't do the work in the United States. 45:10.780 --> 45:11.780 Why? 45:11.780 --> 45:15.180 We couldn't get a USDA permit out of concerns at this virus, which actually doesn't cause 45:15.180 --> 45:19.380 disease and chickens might infect chickens. 45:19.380 --> 45:20.940 We had a lot of other issues as well. 45:20.940 --> 45:25.820 So we actually ended up doing this work primarily in Germany and then taking the vaccine back 45:25.820 --> 45:30.820 to the United States so that we could actually do the clinical trial. 45:30.820 --> 45:36.380 Germany is an interesting place to do it now, isn't it? 45:36.380 --> 45:41.300 Germany has not been on the sidelines of this pandemic narrative, not on the sidelines of 45:41.300 --> 45:46.060 the Western world's pandemic response in pandemic theater. 45:46.060 --> 45:52.860 Germany has been very high up there with regard to the games. 45:52.860 --> 45:55.140 Very high up there, sitting at the table very early. 45:55.140 --> 46:01.060 I find that very curious looking back from this perspective. 46:01.060 --> 46:02.220 Next slide. 46:02.220 --> 46:05.820 So why am I bringing all this stuff up and what's the relationship to gain a function 46:05.820 --> 46:06.820 research? 46:06.820 --> 46:10.100 In fact, there are little lessons scattered throughout this story. 46:10.180 --> 46:15.060 First, in those initial days when we got the sequence, did we use sequence motif data 46:15.060 --> 46:18.020 to guide what we were going to do to actually make a vaccine? 46:18.020 --> 46:19.540 The answer is yes. 46:19.540 --> 46:25.420 Now we certainly didn't use the transmissibility data because there is non-forage 7 and 9 46:25.420 --> 46:28.820 and those data are complicated and at this point difficult to apply. 46:28.820 --> 46:32.740 But we did certainly look for a polybasic cleavage site and had there been one, we would have 46:32.740 --> 46:34.060 gotten rid of it. 46:34.060 --> 46:41.260 So there's a mention of a polybasic cleavage site and I do believe it is this actual talk 46:41.260 --> 46:48.820 oftentimes that is referenced by Charles Rixey as them admitting that fear and cleavage 46:48.820 --> 46:52.580 site is dangerous and that if they have it in a vaccine they remove it and this is some 46:52.580 --> 46:55.820 kind of big deal. 46:55.820 --> 46:59.580 I don't really think it is. 46:59.580 --> 47:06.140 It might make some for some reason or another, it might make the vaccine virus more toxic 47:06.140 --> 47:13.540 or more infectious or more difficult to attenuate or it might make it too immunogenic. 47:13.540 --> 47:19.100 I don't know but I don't think that it's some kind of up fear and cleavage site. 47:19.100 --> 47:24.500 Now it's a pandemic like a Carrington event. 47:24.500 --> 47:28.740 So be careful with that but it is here and he's going to say it again in a second. 47:28.740 --> 47:33.780 We also looked in the neuraminidase gene for markers of oseltamivir resistance and some 47:33.780 --> 47:39.220 of them we found them and we either did not synthesize those strains or we mutated those 47:39.220 --> 47:45.020 genes to eliminate the oseltamivir resistance in the vaccine strains that we made. 47:45.020 --> 47:51.660 So we did use genetic markers for phenotypic traits to affect what we actually made as 47:51.660 --> 47:54.300 the vaccine. 47:54.300 --> 48:03.660 Now the fact that in this case we're really slowed by very well intentioned regulations 48:03.660 --> 48:06.860 to protect basically the food supply in the United States. 48:06.860 --> 48:10.100 However that really meant that we could not in a timely way make the vaccine in the United 48:10.100 --> 48:11.100 States. 48:11.100 --> 48:15.540 Now no one who passed those regulations and forced them had the intention we're going 48:15.540 --> 48:21.260 to slow down human vaccine development however that was the effect. 48:21.260 --> 48:26.100 Had that been a high pathogenetic avian influenza strain we couldn't have done any 48:26.100 --> 48:27.820 of this work. 48:27.820 --> 48:30.580 Why? 48:30.580 --> 48:33.180 Regulations passed for the very good reasons they want to prevent people who have ill 48:33.180 --> 48:38.340 intention from doing bad things with the viruses basically select agent or regulations. 48:38.340 --> 48:41.580 What it meant we couldn't have synthesized this virus. 48:41.580 --> 48:48.300 Now you can't really put an entire manufacturing facility under select agent conditions and 48:48.300 --> 48:53.620 still have a factory that can produce seasonal vaccines in an economically competitive way. 48:53.620 --> 48:58.620 As a result we would have had to wait probably months to start the work, at least a month 48:58.620 --> 48:59.900 maybe more to start the work. 48:59.900 --> 49:04.500 Had it been a more severe strain had that poly basic cleavage site actually been present 49:04.500 --> 49:05.900 instead of absent. 49:05.900 --> 49:12.100 Again nobody who passed the select agent regulations that my goal is to endanger Americans and 49:12.100 --> 49:14.780 prevent the vaccines coming forward in a timely way. 49:14.780 --> 49:15.780 Is that the effect? 49:16.100 --> 49:20.540 Well we haven't had one of those yet but I can tell you from my company I couldn't do 49:20.540 --> 49:28.660 any of this technology if it were a high pathogenetic avian strain clearly counterproductive. 49:28.660 --> 49:31.460 If it were a high pathogen that would be solid. 49:31.460 --> 49:33.580 Thank you very much. 49:33.580 --> 49:35.100 Hey. 49:35.100 --> 49:38.500 Thank you. 49:38.500 --> 49:41.900 Thank you baby. 49:41.900 --> 49:45.260 Alright I got a little warm brownie and some coffee here. 49:45.260 --> 49:47.180 I wanted to say something about this. 49:47.180 --> 49:48.980 What did I want to say? 49:48.980 --> 49:58.060 What he's what he's explaining here is that the flu vaccine if it were to be aimed or 49:58.060 --> 50:06.220 be required to be aimed at a flu that had a poly basic cleavage site in it they would 50:06.220 --> 50:14.780 not be able to engineer that poly basic cleavage site into the vaccine strain because it wouldn't 50:14.780 --> 50:15.780 be allowed. 50:15.780 --> 50:20.300 So isn't that a strange isn't I really think we're hearing that correctly and I find that 50:20.300 --> 50:27.540 a very strange attitude because I thought that having a the poly basic cleavage site there 50:27.540 --> 50:31.180 would be terrible and that's why they would take it out. 50:31.180 --> 50:38.380 But what he's saying is that if they needed to put it in because a vaccine against a strain 50:38.380 --> 50:43.580 with a poly basic cleavage site was needed they wouldn't be able to do it and that would 50:43.580 --> 50:50.020 be a severe handicap to responding to a particularly virulent flu. 50:50.020 --> 50:54.220 I really think that's what we're hearing here which is really very very interesting. 50:54.220 --> 51:03.420 It's exactly wow that's that's funny 300,000 who pass the select agent regulations that 51:03.420 --> 51:07.700 my goal is to endanger Americans and prevent the vaccines coming forward in a timely way. 51:07.700 --> 51:08.700 Is that the effect? 51:08.700 --> 51:13.460 Well we haven't had one of those yet but I can tell you from my company I couldn't do 51:13.460 --> 51:19.020 any I couldn't apply any of this technology if it were a high pathogenicity, avian strain 51:19.020 --> 51:21.620 clearly counterproductive. 51:21.620 --> 51:26.780 If we were a high path even outbreak you saw there was 300,000 to 430,000 infections per 51:26.780 --> 51:33.500 week are prevented by every week of acceleration of vaccine supply if you got a 10 percent. 51:33.500 --> 51:37.700 Now that's a model right he's modeled if we got the vaccine out earlier than we could 51:37.700 --> 51:43.100 project that we would save this many lives that assumes probably a 100 percent of activity 51:43.100 --> 51:48.100 I mean it's our effectiveness of the vaccine it's really scary how he's talking right here 51:48.100 --> 51:53.260 because it's it's in a room full of virologists that are all buying into this as being pretty 51:53.260 --> 51:59.620 much okay when it's really just a lot of it's a lot of big talk that's it oh it's warm 51:59.620 --> 52:00.620 sweet. 52:00.620 --> 52:05.100 And to 50 percent mortality rate you can project that to the number of US deaths that would 52:05.100 --> 52:08.580 occur and you can extrapolate that to the rest of the world. 52:08.580 --> 52:14.100 So when I look at the gain of function debate I have a lot of sympathy for the notion that 52:14.100 --> 52:17.980 we there are certain experiments that are very very dangerous to do. 52:17.980 --> 52:22.980 I also know from a really practical pragmatic experience of trying to get vaccines out in 52:22.980 --> 52:30.060 real time that very well intentioned regulation has unintended consequences that can be quite 52:30.060 --> 52:31.700 severe. 52:31.700 --> 52:36.700 So if adaptation of vaccine viruses to increase growth in HA yield or the more modern synthetic 52:36.700 --> 52:42.660 equivalents of doing that in manufacturing when it captured by gain of function regulations 52:42.660 --> 52:47.140 or other precautions additional unintended impediments to the timely vaccine supply could 52:47.140 --> 52:48.140 be created. 52:48.140 --> 52:50.220 And I'll stop there. 52:50.220 --> 52:52.700 Okay thank you. 52:52.700 --> 52:59.380 Our next speaker is Ralph Baric from University of North Carolina kind of the first slide. 52:59.380 --> 53:03.740 I'd like to start off by saying that no approved vaccines are therapeutics for SARS or MERS 53:03.740 --> 53:09.260 Coronavirus and we are currently in midst of an ongoing outbreak with about 950 cases 53:09.260 --> 53:11.660 and a 40 percent mortality rate. 53:11.660 --> 53:12.660 Next slide. 53:12.660 --> 53:17.060 I really want to focus on two stories one is how restrictions are reduced public health 53:17.060 --> 53:21.940 preparedness to respond to future SARS outbreaks and then I want to talk about how restrictions 53:21.940 --> 53:29.660 in animal model development will influence vaccine outcomes specifically noting the example 53:29.660 --> 53:34.340 of the vaccine it is to immune pathology associated with the SARS vaccine. 53:34.340 --> 53:39.260 And in the process I want to sort of debunk the idea that there are safe and alternative 53:39.260 --> 53:44.700 experiment approaches sometimes they give the wrong answers next slide. 53:44.700 --> 53:46.460 Whoa. 53:46.460 --> 53:49.180 Two stories. 53:49.180 --> 53:52.100 Restrictions will reduce public health preparedness. 53:52.100 --> 53:55.900 This is restrictions on gain of function. 53:55.900 --> 54:02.340 Functions on animal model development increases risk of vaccine induced immune pathology 54:02.340 --> 54:06.540 and mortality in human populations. 54:06.540 --> 54:12.620 So he thinks that he can save vaccine injuries by first using animal models to develop them. 54:12.620 --> 54:19.300 And finally he wants to debunk the concept that ethical and safe alternative experimental 54:19.300 --> 54:24.500 approaches exist that provide equivalent information is gain of function studies. 54:24.500 --> 54:25.500 That's cool. 54:25.500 --> 54:27.260 Everyone's here. 54:27.260 --> 54:33.540 So during the SARS outbreak of 2002, 2004 there are 8,000 cases and a 10 percent mortality 54:33.540 --> 54:39.140 rate and the original vaccine target included CIVIT and human strains that are about 99 percent 54:39.140 --> 54:42.500 identical and they're shown here on this sort of phylogenetic tree. 54:42.500 --> 54:44.500 Next slide. 54:44.500 --> 54:46.980 Since 2004 there's been no cases of SARS. 54:46.980 --> 54:50.980 Most of them think the viruses extinct in the wild. 54:50.980 --> 54:58.420 But as metagenomic sequencing has been applied, it's fairly clear that there are a large 54:58.420 --> 55:02.700 pool of related bad coronaviruses with 5 to 30 percent sequence difference in the spike 55:02.700 --> 55:05.220 like a protein which are shown right here. 55:05.220 --> 55:09.860 And there's been recognition in the field that vaccines and therapeutics not only need 55:09.860 --> 55:15.820 to target the epidemic strains, but they also have to be prepared to deal with pre-pandemic 55:15.820 --> 55:17.660 strains that might emerge in the future. 55:17.660 --> 55:22.580 And so the central question is are there other SARS-like strains that have pre-pandemic 55:22.580 --> 55:23.580 potential? 55:23.580 --> 55:25.980 And if so, we'll have vaccines and drugs. 55:25.980 --> 55:31.580 Here it's called pre-pandemic potential and it sounds like they dropped that P at some 55:31.580 --> 55:32.580 point. 55:32.580 --> 55:33.580 Let's work. 55:33.580 --> 55:34.580 Next slide. 55:34.580 --> 55:39.660 So we and others have synthesized the spikes of these genes shown here with the red arrows 55:39.660 --> 55:44.220 and then applied two different assays to ask questions about the pre-pandemic potential. 55:44.220 --> 55:45.780 Next slide. 55:45.780 --> 55:50.700 The first is using pseudotypes and so this is a safe ethical alternative approach that 55:50.700 --> 55:54.500 basically coats the virus and the spike and then you can ask whether any of these bad 55:54.500 --> 55:58.420 coronaviruses can use the humanase-2 receptor for entry. 55:58.420 --> 56:03.940 And if you look at the top part of that panel, you can see that the WIV-1 and the SARS coronavirus. 56:03.940 --> 56:07.980 I like how ethical alternative up there is in quotes, that's pretty funny. 56:07.980 --> 56:12.780 So you make a pseudovirus, I think they actually make pseudoviruses of the HIV virus or something 56:12.780 --> 56:15.900 which is comically ethical. 56:15.900 --> 56:17.300 I don't think that that's dangerous. 56:17.300 --> 56:21.460 I'm just saying how it appears to the lay person, it doesn't read better, that's for 56:21.460 --> 56:22.460 sure. 56:22.460 --> 56:25.660 Our strains both can use the humanase-2 receptor. 56:25.660 --> 56:27.700 WIV-1 is a bad coronavirus. 56:27.700 --> 56:33.020 It encodes three of the five contact interface sites that engage the ACE receptor so the 56:33.020 --> 56:35.140 data makes perfect sense. 56:35.140 --> 56:39.020 The other bad strains have much more variation and so it makes sense that they can't use 56:39.020 --> 56:40.860 the ACE-2 receptor. 56:40.860 --> 56:44.820 When you make chimeric viruses that encode these spike like a protein, this is part of 56:44.820 --> 56:50.860 the virus particle, notice that the SHCO-1-4 strain can now replicate efficiently in cells 56:50.860 --> 56:54.340 expressing the humanase-2 receptor. 56:54.340 --> 56:59.500 These data clearly indicate that pseudotypes and structure guided predictions, in which 56:59.500 --> 57:05.020 this case SHCO-1-4 contains the SHCO-1-4 strain can now... 57:05.020 --> 57:19.620 So this is the strain that he supposedly engineered to be lethal in mice. 57:19.620 --> 57:21.180 This is the lethal mouse strain. 57:21.180 --> 57:30.860 I think there's a paper about him doing this in B-L-B, bulb in a B-A-L-B mice and this 57:30.860 --> 57:32.940 is the strain here. 57:32.940 --> 57:43.660 And I believe that after that they took this and they... 57:43.660 --> 57:47.300 Yeah I can't remember anymore but this is definitely one of those that they played around 57:47.300 --> 57:51.780 with, that they got the idea, they got the spike from Wuhan and then they put it. 57:51.780 --> 57:53.140 They only had the spike. 57:53.140 --> 58:00.020 See is the chimeric virus recombinant virus and remember that a lot of these are incomplete 58:00.020 --> 58:01.020 sequences. 58:01.020 --> 58:03.860 So here's where it becomes very interesting. 58:03.860 --> 58:09.500 Let me just give you this little tidbit to think about. 58:09.500 --> 58:13.740 And we're just going to keep doing our work, we're not paying attention to these other 58:13.740 --> 58:22.060 clown cars behind us, we're in the cave all by ourselves here, because we're caverns 58:22.060 --> 58:24.500 ahead of these people. 58:24.500 --> 58:29.060 If you realize that when they sequence a virus in cell culture, they sequence a virus 58:29.060 --> 58:36.500 from a bronchial lavage that they get amplicons that sort like this hundreds and hundreds 58:36.500 --> 58:43.940 of them that are short amplicons over the 30,000 foot genome, 30,000 nucleotide genome. 58:43.940 --> 58:44.940 And so they never... 58:44.940 --> 58:47.340 They don't get full reads by any stretch of the imagination. 58:47.340 --> 58:51.220 When you're doing Sanger sequencing it could be between 300 and 1,000, maybe Kevin can 58:51.220 --> 58:54.140 correct me but it's not thousands. 58:54.140 --> 58:58.900 And indeed they need overlap on these amplicons so that they get multiple reads. 58:58.900 --> 59:04.900 And so these are amplified by PCR and the reason why they get more copies of some than 59:04.900 --> 59:09.620 the other ones is because these are more abundant and therefore they start amplifying earlier. 59:09.620 --> 59:14.700 That's the assumption that these people make and I don't think it's a terrible assumption. 59:14.700 --> 59:20.260 But then when they get a partial sequence, now this is the trick, if they get a partial 59:20.260 --> 59:30.540 sequence in the wild, the normal hot signal that you see here has just cut off at some 59:30.540 --> 59:35.580 arbitrary number where they don't have any coverage at these places. 59:35.580 --> 59:41.740 And so where you don't have coverage like here and from here to here and from here to 59:41.740 --> 59:45.100 here, then you're just missing those genomes. 59:45.100 --> 59:47.660 You're just missing that part of the genome. 59:47.660 --> 59:57.700 And with respect to the paper that he's talking about with this SHCO14S, he is assuming that 59:57.700 --> 01:00:06.540 because he has found in the wild a new coronavirus spike protein sequence, that that means that 01:00:06.540 --> 01:00:08.860 the entire coronavirus is a new one. 01:00:08.860 --> 01:00:15.420 It doesn't mean that it's part of a swarm, some of which have this spike protein. 01:00:15.420 --> 01:00:21.740 But he's assuming is that it's a whole new instance of this signal. 01:00:21.740 --> 01:00:27.220 And that's where they get all of these, these family trees and phylogenies from is that 01:00:27.220 --> 01:00:35.140 every time they find a new unique RNA signal for any of these 31 genes, it is very easy 01:00:35.140 --> 01:00:38.060 for them to say, wow, we found a new one. 01:00:38.060 --> 01:00:43.580 And assume again that just because it's so hard to find these, so hard to find these 01:00:43.580 --> 01:00:48.140 signals very robustly in nature and it's very hard to culture them because often time 01:00:48.140 --> 01:00:50.660 you only get a sample right here. 01:00:50.660 --> 01:00:56.220 You don't get any of these full genomes, they're rare. 01:00:56.220 --> 01:01:00.860 And so you can see what would happen if you started by transfecting or by losing or by 01:01:00.860 --> 01:01:08.900 creating your virus stock from a genomic RNA that was pure. 01:01:08.900 --> 01:01:18.300 Because then all of the clouds of incomplete genomes and subgenomic RNAs will start from 01:01:18.300 --> 01:01:20.060 a common ancestor. 01:01:20.060 --> 01:01:26.860 That's a very different scenario than a viral swarm that you would get from mother nature 01:01:26.860 --> 01:01:30.580 and a very much more infectious one. 01:01:30.580 --> 01:01:36.100 You can even imagine where it would decay exponentially from the first clone in clone 01:01:36.100 --> 01:01:42.420 transfection to maybe even a couple family members as that person shed self replicating 01:01:42.420 --> 01:01:47.180 full transcript RNAs. 01:01:47.180 --> 01:01:51.020 But the point to remember here is that when what they're talking about with regard to 01:01:51.020 --> 01:01:57.420 this paper is a sequence that the Wuhan lab found that was actually just a partial sequence 01:01:57.420 --> 01:02:00.780 that they found in the wild and they guessed that it looks like it's related, it looks 01:02:00.780 --> 01:02:03.380 like it's a SARS virus. 01:02:03.380 --> 01:02:10.300 And so with his technology, they were able to resurrect a laboratory version of it using 01:02:10.300 --> 01:02:14.580 a consensus coronavirus genome plus that spike. 01:02:14.580 --> 01:02:19.460 And that's where they got crazy with it. 01:02:19.460 --> 01:02:26.900 And that's where everybody went bananas in that 2015 paper. 01:02:26.900 --> 01:02:27.900 So here we go. 01:02:27.900 --> 01:02:32.660 They replicate efficiently in cells expressing the human ACE2 receptor. 01:02:32.660 --> 01:02:37.820 These data clearly indicate that pseudotypes and structure guided predictions in which 01:02:37.820 --> 01:02:44.820 this case, SHCl1.4 contains no conserved residues at the interface with any other known strain 01:02:44.820 --> 01:02:47.500 would have actually predicted the potential threat. 01:02:47.500 --> 01:02:51.420 It was actually a chimeric gain-of-function virus that did. 01:02:51.420 --> 01:02:57.700 And the SHCl1.4 and the WIV viruses grow equivalently to SARS and human airway epithelial cells. 01:02:57.700 --> 01:03:00.300 So there's no real gain of function in that phenotype. 01:03:00.300 --> 01:03:01.660 Next slide. 01:03:01.660 --> 01:03:07.220 If you look at virulence, these two bat SARS-like coronaviruses are attenuated. 01:03:07.220 --> 01:03:09.460 So you lose function. 01:03:09.460 --> 01:03:15.900 Vaccines, especially in the age models, do not protect against infection with these viruses. 01:03:15.900 --> 01:03:19.620 And there are four broadly cross-neutralizing human monoclonal antibodies that have been 01:03:19.620 --> 01:03:22.980 identified that neutralize all SARS and CIVIT strains. 01:03:22.980 --> 01:03:27.620 And none of them actually work against the SHCl1.4 virus. 01:03:27.620 --> 01:03:35.500 So what I hear here, and I hope you hear it here, is that he's making the argument that 01:03:35.500 --> 01:03:39.340 some of these viruses have no solution. 01:03:39.340 --> 01:03:46.020 And a live attenuated virus vaccine does not protect the animals. 01:03:46.020 --> 01:03:53.340 And a cocktail of monoclonal antibodies, like he described in 2007, very clear competitor 01:03:53.340 --> 01:04:02.340 intellectually, if you will, for the Z map product that was in Plumber's lab in Canada 01:04:02.340 --> 01:04:05.740 with that Chinese lady whose name I can't remember, but I'm sure Mark Koolack knows 01:04:05.740 --> 01:04:07.700 right off the top of his head. 01:04:07.700 --> 01:04:13.100 The point being here now, again, we're discussing the worst case scenario without actually saying 01:04:13.100 --> 01:04:14.100 it out loud. 01:04:14.100 --> 01:04:18.220 Because, again, we have something that vaccines won't work for, and a monoclonal antibody 01:04:18.220 --> 01:04:19.820 cocktail won't work for. 01:04:19.820 --> 01:04:20.820 And it's lethal. 01:04:21.300 --> 01:04:24.860 So human monoclonal antibodies that exist on a shelf will fail. 01:04:24.860 --> 01:04:27.860 We have no information on the transmissibility of these isolates. 01:04:27.860 --> 01:04:29.500 Next slide. 01:04:29.500 --> 01:04:33.380 So if you look at this phylogenetic tree, they fall into two clusters, that cluster with 01:04:33.380 --> 01:04:40.100 high risk strains, some of which, WIV1 and SHCl1.4, which actually are representative of about 01:04:40.100 --> 01:04:43.180 12 to 15 viruses, different viruses each. 01:04:43.180 --> 01:04:45.100 Yes, that lady, Jeff. 01:04:45.100 --> 01:04:49.980 There are no vaccines at therapeutics that will really work well against them, and so we're vulnerable. 01:04:50.020 --> 01:04:53.980 And I also want to mention that many of the chimeric viruses here, the definition implied 01:04:53.980 --> 01:04:58.220 in gain of function, is much too broad and must be redefined. 01:04:58.220 --> 01:05:00.260 Next slide. 01:05:00.260 --> 01:05:02.780 There are some public health implications to this research. 01:05:02.780 --> 01:05:06.980 On equivalently, it establishes that there are SARS-like viruses that are pre-positioned 01:05:06.980 --> 01:05:15.300 to jump and use human receptors and normal targets for infection, and so they have pre-pandemic 01:05:15.300 --> 01:05:16.300 potential. 01:05:16.300 --> 01:05:20.900 The results are generalizable to other coronaviruses and other zoonotic viruses, and there's a 01:05:20.900 --> 01:05:25.260 platform framework that you can use to tease those associations apart. 01:05:25.260 --> 01:05:30.380 And you can inform policymakers in terms of SARS-like outbreaks are possible and likely 01:05:30.380 --> 01:05:35.940 in the future, and that existing therapeutics and vaccines most likely will fail, and so 01:05:35.940 --> 01:05:36.940 we're unprepared. 01:05:36.940 --> 01:05:41.620 And advantage is that we have reagents now to derive effective interventions. 01:05:41.620 --> 01:05:42.860 Next slide. 01:05:42.860 --> 01:05:47.260 The second part I want to mention is the importance of animal model development in 01:05:47.260 --> 01:05:49.020 vaccine design. 01:05:49.020 --> 01:05:52.580 SARS replicates very poorly in mice. 01:05:52.580 --> 01:05:56.340 There's no weight loss or clinical disease and very little pathology. 01:05:56.340 --> 01:06:00.260 This is because the virus poorly engages the mouse ACE2 receptor. 01:06:00.260 --> 01:06:02.540 It doesn't use it very well. 01:06:02.540 --> 01:06:06.860 Every vaccine that I know of that's been tested in this replication model works. 01:06:06.860 --> 01:06:11.140 And then Kanta and her group at NIH developed some mouse-adapted strains, which have six 01:06:11.140 --> 01:06:16.100 to ten mutations that enhance the usage of the mouse ACE2 receptor. 01:06:16.100 --> 01:06:18.020 Next slide. 01:06:18.020 --> 01:06:22.980 This results in models that capture most of the human disease phenotypes, which are shown 01:06:22.980 --> 01:06:24.300 in yellow. 01:06:24.300 --> 01:06:30.900 And so I can't stress how it important it is to see what they are doing here is by establishing 01:06:30.900 --> 01:06:41.020 animal models, then they are going directly against that old adage that Robert Malone 01:06:41.020 --> 01:06:46.620 introduced us to or reminded us of way back when, which is mice lie, monkeys deceive 01:06:46.620 --> 01:06:51.380 and the only way to know the truth is humans. 01:06:51.380 --> 01:06:59.500 And in this scenario, what we are doing is setting ourselves up for a disaster by funding 01:06:59.500 --> 01:07:04.780 grant calls or rather writing grant calls and funding research proposals that look for 01:07:04.780 --> 01:07:09.220 development of animal models of disease. 01:07:09.220 --> 01:07:15.740 Animal models of disease being wholly inappropriate for studying viral replication, viral disease 01:07:15.740 --> 01:07:18.100 in humans. 01:07:18.100 --> 01:07:24.060 Because of the way that they do it, they use clones, they start with pure stocks and they 01:07:24.060 --> 01:07:26.940 apply it in crazy ways. 01:07:26.940 --> 01:07:31.660 Like really high concentrations in the nose or even worse, they inject it in the brain 01:07:31.660 --> 01:07:39.140 or somewhere in the heart muscle or in the interperitoneal cavity. 01:07:39.140 --> 01:07:45.020 And so these animal models are part of the voodoo part of the enchantment that has been 01:07:45.020 --> 01:07:55.820 cast on academia because he just said it in the previous slide that that unequivocally 01:07:55.820 --> 01:08:02.580 established that some natural SARS-like coronavirus strains are pre-pandemic potential. 01:08:02.580 --> 01:08:04.140 Unequivocally established. 01:08:04.140 --> 01:08:10.980 Now how is that any different than what I was saying right here with this early, but 01:08:10.980 --> 01:08:17.620 I want is that we're seeding the gain of function narrative with scientific programs 01:08:17.620 --> 01:08:24.540 in peer reviewed publications for years before the pandemic that what unequivocally, unequivocally 01:08:24.620 --> 01:08:31.540 established that some natural SARS-like coronavirus bad strains represent pre-pandemic potential. 01:08:31.540 --> 01:08:35.900 It's done, case closed. 01:08:35.900 --> 01:08:38.620 And now we need this warm base of manufacturing forever. 01:08:38.620 --> 01:08:40.620 Now we need to fund these programs forever. 01:08:40.620 --> 01:08:42.580 Now you can't argue anymore. 01:08:42.580 --> 01:08:47.860 You see what his job was? 01:08:47.860 --> 01:08:51.460 That's why they're throwing him under the bus now because that's what his job was. 01:08:51.460 --> 01:08:57.740 His job was established the worst case scenario and do your own thing alongside. 01:08:57.740 --> 01:09:01.460 And so he argued for what he thought was the legitimate best way. 01:09:01.460 --> 01:09:07.380 Had live attenuated viruses working on molecular solutions to de attenuation. 01:09:07.380 --> 01:09:11.340 These are all laudable pursuits. 01:09:11.340 --> 01:09:14.300 This is not the Scooby-Doo villain that we're looking for. 01:09:14.300 --> 01:09:15.300 Was he involved? 01:09:15.300 --> 01:09:16.860 Does he know who they are? 01:09:17.340 --> 01:09:22.660 I'm with almost without a doubt, he does. 01:09:22.660 --> 01:09:30.660 But the relentless focus on this man by people on social media, by people on the intellectual 01:09:30.660 --> 01:09:38.180 dark web, by people writing books is a mistake. 01:09:38.180 --> 01:09:44.900 It's a mistake because he's not JS Bach of coronaviruses because he used restriction 01:09:44.900 --> 01:09:47.900 enzymes to build a long DNA molecule. 01:09:47.900 --> 01:09:52.540 I mean, building a long DNA molecule with restriction enzymes was something that had 01:09:52.540 --> 01:09:53.860 already been done. 01:09:53.860 --> 01:10:00.820 Maybe not as long as a coronavirus genome, maybe. 01:10:00.820 --> 01:10:06.980 But it's not some kind of, you know, it's like adding a trailer to a semi-truck, you 01:10:06.980 --> 01:10:10.340 know, hey, you know what, you could hook up another trailer to the back of that. 01:10:10.340 --> 01:10:11.340 Really? 01:10:11.340 --> 01:10:12.340 I never thought about that. 01:10:12.340 --> 01:10:13.340 Holy cow. 01:10:13.340 --> 01:10:14.340 Does it work? 01:10:14.420 --> 01:10:15.420 You can hook another one up. 01:10:15.420 --> 01:10:16.420 Oh, wow. 01:10:16.420 --> 01:10:19.940 They call that a train. 01:10:19.940 --> 01:10:28.180 And so for this guy to be held up as some, you know, virtuoso, because he came up with 01:10:28.180 --> 01:10:38.660 the idea of using restriction enzymes to make a long DNA molecule, it's just ridiculous. 01:10:38.660 --> 01:10:40.380 But that's what they want, right? 01:10:40.380 --> 01:10:41.380 That's where we are. 01:10:41.380 --> 01:10:42.380 That's what they want. 01:10:42.380 --> 01:10:43.380 Rob's capyptor. 01:10:43.380 --> 01:10:45.580 It doesn't use it very well. 01:10:45.580 --> 01:10:49.900 Every vaccine that I know of that's been tested in this replication model works. 01:10:49.900 --> 01:10:54.180 And then Kanta and her group at NIH developed some mouse-adapted strains, which have six 01:10:54.180 --> 01:10:59.220 to ten mutations that enhance the usage of the mouse ACE2 receptor. 01:10:59.220 --> 01:11:00.220 Next slide. 01:11:00.220 --> 01:11:05.940 This results in models that capture most of the human disease phenotypes, which are shown 01:11:05.940 --> 01:11:06.940 in yellow. 01:11:06.940 --> 01:11:09.940 And a continual theme from these studies in terms of vaccines is that the Envivo core 01:11:09.940 --> 01:11:12.940 list of protection vary depending on the model. 01:11:12.940 --> 01:11:13.940 Next slide. 01:11:13.940 --> 01:11:14.940 Corillis of protection. 01:11:14.940 --> 01:11:18.460 The immediate vaccine was developed, purchased by NIH early in the epidemic. 01:11:18.460 --> 01:11:21.660 It protected mice and primates in a replication model. 01:11:21.660 --> 01:11:25.100 So what happens, although they did notice low levels of eosinophils in the animals, what 01:11:25.100 --> 01:11:28.140 happens after the lethal challenge strain is used? 01:11:28.140 --> 01:11:31.180 The vaccine fails to protect in the elderly, and it induces a TH2 immune pathology with 01:11:31.180 --> 01:11:34.620 a large number of eosinophils shown here by the column sort of in the middle, with all 01:11:34.620 --> 01:11:36.860 the blue cells surrounding the airways and the vesicles. 01:11:36.860 --> 01:11:40.420 And you can see that the number of eosinophils increased tenfold as a consequence of challenge. 01:11:40.420 --> 01:11:41.420 This is not a good thing. 01:11:41.420 --> 01:11:42.420 But it is an inbred model. 01:11:42.420 --> 01:11:43.420 What about outbred models? 01:11:43.420 --> 01:11:44.420 Next slide. 01:11:44.420 --> 01:11:48.980 So that's very similar to the paper that we looked at on the bike, actually, already 01:11:48.980 --> 01:11:56.500 in 2020, where they inoculated macaque monkeys and then exposed them to the virus, and they 01:11:56.500 --> 01:12:01.900 had a much more severe reaction to the virus, destroyed their lungs. 01:12:01.900 --> 01:12:03.780 This is exactly what he's describing here. 01:12:03.780 --> 01:12:09.020 It's very difficult to vaccinate against a coronavirus because inevitably what you've 01:12:09.020 --> 01:12:16.380 done is screw up the memory to the coronavirus and make your immune system prone to overreact 01:12:16.380 --> 01:12:18.780 to what it actually tries to ignore. 01:12:18.780 --> 01:12:21.140 It's actually pretty spectacular. 01:12:21.140 --> 01:12:26.140 So we use the collaborative cross mouse resource, which encodes the three substrains of mice. 01:12:26.140 --> 01:12:30.460 We took the eight founder lines and made 64 F1 dialyol combinations. 01:12:30.460 --> 01:12:33.460 We aged them for a year, vaccinated half of them, and then challenged the virus. 01:12:33.460 --> 01:12:35.660 This is about 2,400 mice total in this experiment. 01:12:35.660 --> 01:12:36.660 Next slide. 01:12:36.660 --> 01:12:40.260 When you look at the results in yellow, it means that the vaccine protected from lethal 01:12:40.260 --> 01:12:41.260 infection. 01:12:41.260 --> 01:12:45.860 Green is the vaccine protected either from lethal infection or pathology or disease. 01:12:45.860 --> 01:12:49.700 Black means that the vaccine really had little impact, and red means that the vaccine resulted 01:12:49.700 --> 01:12:52.460 in increased immune pathology and mortality in the animals. 01:12:52.460 --> 01:12:55.020 So in this case, in an outbred population, the prediction would be that that vaccine would 01:12:55.020 --> 01:12:57.860 have caused increased mortality in some individuals. 01:12:57.860 --> 01:13:00.940 This is seen with other vaccine formulations for SARS, this TH2 immune pathology. 01:13:00.940 --> 01:13:07.140 It demonstrates quite clearly the importance of animal model development in evaluating 01:13:07.140 --> 01:13:09.420 vaccine and drug performance. 01:13:09.420 --> 01:13:10.420 Last slide. 01:13:10.420 --> 01:13:12.420 Now in that sense, I agree with them. 01:13:12.420 --> 01:13:18.700 If the mice can already uncover massive failure of the vaccine product, then that's great. 01:13:18.700 --> 01:13:21.980 But if they would have survived, it wouldn't necessarily prove that it's going to work 01:13:21.980 --> 01:13:23.380 in humans. 01:13:23.380 --> 01:13:27.900 The pathology could have still developed in humans, or it could have been less obvious 01:13:27.900 --> 01:13:29.700 in the mice, et cetera. 01:13:30.180 --> 01:13:34.500 Remember, these mouse studies are always going to be ended early because they need to sacrifice 01:13:34.500 --> 01:13:38.420 the mouse in order to look at the tissue that they show those pictures of. 01:13:38.420 --> 01:13:45.100 So if the mouse model at six weeks would have shown no problems after re-infection or challenge, 01:13:45.100 --> 01:13:48.820 that wouldn't necessarily have proved definitively there wasn't going to be autoimmunity in the 01:13:48.820 --> 01:13:49.820 future. 01:13:49.820 --> 01:13:51.700 So that's another key thing to keep in mind. 01:13:51.700 --> 01:13:53.940 But where are we with MERS? 01:13:53.940 --> 01:13:57.220 MERS was not replicated mice or in any small animals, and vivo passage has failed in multiple 01:13:57.220 --> 01:13:58.220 laboratories. 01:13:58.220 --> 01:14:00.100 We'll talk about the reason for that tomorrow. 01:14:00.100 --> 01:14:03.100 Transgenic mice have been developed, expressing the human DPP4 receptor. 01:14:03.100 --> 01:14:05.980 This results in a replication model without serious disease. 01:14:05.980 --> 01:14:09.300 Passage of virus has been done in two laboratories, both of which, to our surprise, was halted 01:14:09.300 --> 01:14:11.260 in the midst of an ongoing epidemic. 01:14:11.260 --> 01:14:15.540 And so in our opinion, the public health vaccine development has been compromised by this decision. 01:14:15.540 --> 01:14:18.180 Without a robust small animal models, the testings of vaccines and drugs have been delayed 01:14:18.180 --> 01:14:19.180 and there's a backlog. 01:14:19.180 --> 01:14:21.820 So I think it's critical that MERS coronavirus restrictions be lifted immediately, at least 01:14:21.820 --> 01:14:23.380 in terms of animal model development. 01:14:23.380 --> 01:14:24.380 Last slide. 01:14:24.380 --> 01:14:27.340 So I'd just like to summarize where in dangerous times, there's four highly pathogenic viruses 01:14:27.340 --> 01:14:28.940 sort of sampling the human population. 01:14:28.940 --> 01:14:32.420 International travel allows for instantaneous, almost worldwide dissemination, and it's only 01:14:32.420 --> 01:14:33.420 going to get faster. 01:14:33.420 --> 01:14:36.860 And the response times, which are so critical for treating human disease, are being compressed. 01:14:36.860 --> 01:14:41.140 And being a function represents one of those approaches that is a crucial tool for public 01:14:41.140 --> 01:14:42.740 health preparedness and response. 01:14:42.740 --> 01:14:50.940 So that's an interesting place for Ralph Baric to be when, again, and I think this is really 01:14:50.940 --> 01:14:55.460 important to see, where is it here? 01:14:55.460 --> 01:14:56.460 Is it here? 01:14:56.460 --> 01:14:57.460 Come on now. 01:14:57.460 --> 01:14:58.460 What the heck? 01:14:58.460 --> 01:14:59.460 I had it all queued up now. 01:14:59.460 --> 01:15:00.460 I don't see it tonight. 01:15:00.460 --> 01:15:01.460 Oh, yeah, here. 01:15:01.460 --> 01:15:02.460 Sorry, got it. 01:15:02.460 --> 01:15:03.460 Got it. 01:15:03.460 --> 01:15:04.460 Got it. 01:15:04.460 --> 01:15:05.460 Let's just watch this one really quick. 01:15:05.460 --> 01:15:06.460 Okay. 01:15:06.460 --> 01:15:15.100 And then I'm only going to watch the beginning and then I'm going to hang out because I got 01:15:15.100 --> 01:15:17.220 to go to my son's basketball game. 01:15:17.220 --> 01:15:18.220 Check this out. 01:15:18.220 --> 01:15:19.620 Thank you, Andy. 01:15:19.620 --> 01:15:22.260 Just listen to the beginning of this because the beginning is hysterical. 01:15:22.260 --> 01:15:23.260 That was really nice. 01:15:23.260 --> 01:15:27.660 As an now person, I really admire at the school. 01:15:27.660 --> 01:15:28.660 Ralph Baric. 01:15:28.660 --> 01:15:33.260 He's the most accomplished and prolific scientist anywhere and he's really brought tremendous 01:15:33.260 --> 01:15:37.260 creativity, persistence, and innovation to the study of viruses. 01:15:37.260 --> 01:15:40.820 I've had the opportunity to tour his lab. 01:15:40.820 --> 01:15:47.060 So we watched the 2007 video yesterday and then we just watched the 2016 video and now 01:15:47.060 --> 01:15:50.980 we're going to watch him talk two years later. 01:15:51.980 --> 01:15:52.980 Okay. 01:15:52.980 --> 01:15:53.980 And microbiology and immunology. 01:15:53.980 --> 01:15:54.980 Two years later. 01:15:54.980 --> 01:15:55.980 No. 01:15:55.980 --> 01:15:56.980 The NIN. 01:15:56.980 --> 01:16:01.620 How bad could the next pandemic be? 01:16:01.620 --> 01:16:02.620 What might it look like? 01:16:02.620 --> 01:16:03.620 And will we be ready? 01:16:03.620 --> 01:16:08.620 Well, I have to admit, I'm a little worried about giving this talk partially because as 01:16:08.620 --> 01:16:11.460 Yogi Barris said, it's tough to make predictions, especially about the future. 01:16:11.460 --> 01:16:13.540 So there's a good chance I could be wrong. 01:16:13.540 --> 01:16:19.100 I study coronaviruses, noroviruses, flaviviruses, and do some influenza virus research just to 01:16:19.100 --> 01:16:20.940 give you some background of what I do. 01:16:20.940 --> 01:16:25.820 The other reason that I'm a little bit worried is being labeled as a harbinger of doom. 01:16:25.820 --> 01:16:26.820 This is not me. 01:16:26.820 --> 01:16:29.500 I'm not one of the four horsemen of the apocalypse. 01:16:29.500 --> 01:16:32.060 So he's choosing to do this, right? 01:16:32.060 --> 01:16:38.020 Or is he implying that someone else is making him give this talk from this perspective as 01:16:38.020 --> 01:16:42.100 one of the four horsemen of the apocalypse, the plague? 01:16:42.100 --> 01:16:48.100 It's a very curious talk to me because it is not a typical scientific talk. 01:16:48.100 --> 01:16:55.060 The typical lecture from a biologist has a 30,000 foot view directly over the target 01:16:55.060 --> 01:16:57.500 and then you zoom in. 01:16:57.500 --> 01:17:04.780 You don't start from the, you know, wow, I mean, from worst case scenario. 01:17:04.780 --> 01:17:10.180 Even if you think that Alzheimer's disease is really important or you think that autism 01:17:10.180 --> 01:17:17.580 is a really devastating disease, you don't start with worst case scenario. 01:17:17.580 --> 01:17:20.260 And yet here he is, and it's extraordinary. 01:17:20.260 --> 01:17:22.980 And I want you to let you know that I'm really kind of a nice guy. 01:17:22.980 --> 01:17:26.340 So please come talk to me after this talk. 01:17:26.340 --> 01:17:30.820 I will mention that viruses are certainly in the pockets of all of the four horsemen and 01:17:30.820 --> 01:17:33.340 they can be used in all of these scenarios. 01:17:33.340 --> 01:17:36.820 So I'd like to start off by taking a step back and talk about how infectious diseases 01:17:36.820 --> 01:17:41.900 ranks or stacks up against other natural disasters that in terms of frequency and relative risk. 01:17:41.900 --> 01:17:46.140 So if you step back and every three to 400 million years or so, there's a danger of 01:17:46.140 --> 01:17:47.660 a gamma radiation burst. 01:17:47.660 --> 01:17:50.340 These occur when black holes and neutron stars collide. 01:17:50.340 --> 01:17:53.980 It shoots out this burst of gamma radiation which can strip away the ozone layer. 01:17:53.980 --> 01:17:57.660 It's acid rain, resulting high UV radiation levels to plant an animal life on the planet 01:17:57.660 --> 01:17:59.180 and will result in global warming. 01:17:59.180 --> 01:18:02.420 And this can occur as far as 6,500 light years away. 01:18:02.420 --> 01:18:03.980 Fortunately, it doesn't happen so often. 01:18:03.980 --> 01:18:07.100 So I'm not, don't really lose sleep about this at night. 01:18:07.100 --> 01:18:11.500 A little bit more likely to cause an issue as an asteroid strike. 01:18:11.500 --> 01:18:15.340 The earth runs into about 3,700 to about 7,800 tons of debris. 01:18:15.340 --> 01:18:18.140 As it flows through space, occasionally some of these are big rocks. 01:18:18.140 --> 01:18:21.940 When a really big rock hits the planet, this can result in an extinction level event like 01:18:21.940 --> 01:18:23.220 what happened to the dinosaurs. 01:18:23.220 --> 01:18:25.820 The good news is that mammals became dominant and so we are here today. 01:18:25.820 --> 01:18:29.980 Otherwise we'd probably be lunch. 01:18:29.980 --> 01:18:33.700 The U.S. takes this threat fairly seriously so NASA has a near earth object program that 01:18:33.700 --> 01:18:36.980 tracks satellites that are large enough to cause damage to the planet. 01:18:36.980 --> 01:18:39.540 One problem that they face is they can only track them for about 100 years and the accuracy 01:18:39.540 --> 01:18:40.540 falls off. 01:18:40.540 --> 01:18:43.180 But fortunately Bruce Willis, our mom, get it in here. 01:18:43.180 --> 01:18:45.380 I just want to point out that he is also a Pensberg boy. 01:18:45.380 --> 01:18:46.380 We actually went to school together. 01:18:46.380 --> 01:18:48.340 It's a little town in New Jersey, 3,500 of us. 01:18:48.340 --> 01:18:52.460 A clear epicenter of planetary defense, so remember that, please. 01:18:52.460 --> 01:18:54.660 Anyway, moving up on the list, we have supervolcanoes. 01:18:54.660 --> 01:18:55.660 I do like Bruce Willis. 01:18:55.660 --> 01:18:57.220 We went there about every million years. 01:18:57.220 --> 01:18:59.540 We watched Die Harder the other day with my boys. 01:18:59.540 --> 01:19:00.700 That was pretty funny. 01:19:00.700 --> 01:19:03.620 These are volcanoes that are large enough to co-continent with about a half an inch of 01:19:03.620 --> 01:19:05.300 ash or more. 01:19:05.300 --> 01:19:10.060 Supervolcanoes, which was in Indonesia, resulted in ice age and knocked the... 01:19:10.060 --> 01:19:12.780 And look at that, that's Yellowstone right there. 01:19:12.780 --> 01:19:16.660 About 20 of these of concern on the planet, and this is ours, this is Yellowstone, obviously. 01:19:16.660 --> 01:19:19.020 Please go to the caldera and spend some time at that hotel. 01:19:19.020 --> 01:19:20.020 It's quite a treat. 01:19:20.020 --> 01:19:23.180 Finally, we have Carrington-level events, which probably some of you may have heard 01:19:23.180 --> 01:19:24.180 of. 01:19:24.180 --> 01:19:25.180 Most people, not these are geomagnetic storms. 01:19:25.180 --> 01:19:31.420 When solar flares throw off a lot of coronal mass, they can hit our electromagnetic waves 01:19:31.420 --> 01:19:34.700 that are around the earth and this can result in magnetic storms. 01:19:34.700 --> 01:19:36.460 The biggest one occurred in 1859. 01:19:36.460 --> 01:19:39.980 It wasn't much electronics at the time, but it caused fires and telegraph offices. 01:19:39.980 --> 01:19:42.700 It shocked our electrocuted telegraph workers. 01:19:43.180 --> 01:19:46.580 Much smaller ones occurred in the 60s and 70s at knockout power grids in the U.S. and 01:19:46.580 --> 01:19:47.580 Canada. 01:19:47.580 --> 01:19:51.100 Lloyd's of London says that they can cause about $23 million in damage and potentially 01:19:51.100 --> 01:19:52.620 knock out the power grid for one to five years. 01:19:52.620 --> 01:19:54.260 So this is not insignificant. 01:19:54.260 --> 01:19:57.460 And what's a little bit scary is that much larger flares are possible. 01:19:57.460 --> 01:20:01.020 So NASA has taken this pretty seriously, and if the first solar probe is going to go around 01:20:01.020 --> 01:20:03.700 the sun, it's going to be launched in the summer, and they are going to take a look 01:20:03.700 --> 01:20:04.700 at this. 01:20:04.700 --> 01:20:07.620 But this can certainly knock out GPS, cell phone, internet, and power grid for several years. 01:20:07.620 --> 01:20:10.300 Okay, so now we're back into infectious diseases. 01:20:10.300 --> 01:20:11.300 Here we are. 01:20:12.300 --> 01:20:15.300 From my perspective, though, since I've been on the planet, there's been an epidemic 01:20:15.300 --> 01:20:17.580 virus every decade starting with Asian flu in 1960. 01:20:17.580 --> 01:20:19.900 So do you see Asian flu? 01:20:19.900 --> 01:20:20.900 And then... 01:20:20.900 --> 01:20:25.300 In Hong Kong in 1967 or 1968, H1N1 came back in the 70s, followed by HIV, followed by 01:20:25.300 --> 01:20:27.540 West Nile, and then we got to the 21st century. 01:20:27.540 --> 01:20:28.540 And thanks, Spada. 01:20:28.540 --> 01:20:31.260 SARS was the first epidemic virus of the 20... 01:20:31.260 --> 01:20:40.700 Now here he doesn't actually mention the Spanish flu, but he did mention it in the talk 01:20:40.700 --> 01:20:45.860 from 2007, and said how many people had killed. 01:20:45.860 --> 01:20:50.780 So here we again are starting with this idea of worst case scenario, we're starting with 01:20:50.780 --> 01:20:56.220 the idea of pandemic potential, but extraordinarily, he is doing something that I think a lot of 01:20:56.220 --> 01:21:00.220 these gain-of-function people have done, especially since the start of the pandemic, 01:21:00.220 --> 01:21:06.940 and start to make equivalences with very, very planet-wide devastating events, rather 01:21:06.940 --> 01:21:12.940 than bring it down to a nuclear weapon, or bring it down to a few thousand people, we 01:21:12.940 --> 01:21:20.740 have to bring it up into orders of magnitude more impactual, like a meteor, or a Carrington 01:21:20.740 --> 01:21:27.260 event that would knock out the entire power grid of the Northern Hemisphere for five years. 01:21:27.260 --> 01:21:33.940 And so I cannot stress enough how important it is for you to see that this slide, describing 01:21:33.940 --> 01:21:38.140 what we are witnessing here, is so real. 01:21:38.140 --> 01:21:41.740 They definitely seeded the gain-of-function narrative with scientific programs. 01:21:41.740 --> 01:21:46.660 They knew what they were doing, and they co-opted people like Ralph Baric with lots and lots 01:21:46.660 --> 01:21:53.380 of funding to do whatever the heck he wanted with translation regulatory sequences and trying 01:21:53.380 --> 01:21:57.460 to make attenuated viruses that couldn't de-attenduate. 01:21:57.460 --> 01:22:03.260 They let him do everything he wanted with that, as long as they also got the stitching 01:22:03.260 --> 01:22:04.260 thing to go. 01:22:04.260 --> 01:22:11.660 Got synthetic viruses and coronaviruses to go, and in fact, it's even possible that these 01:22:11.660 --> 01:22:17.460 things are just, they're just testing self-replicating RNA on us and calling them coronaviruses and 01:22:17.460 --> 01:22:21.820 normal viruses and flavoviruses and all this other stuff. 01:22:21.820 --> 01:22:27.560 None of these have perhaps have a significant natural signature, but the signature that 01:22:27.560 --> 01:22:32.620 we are told to pay attention to, the signature that they wave around all the time, could actually 01:22:32.620 --> 01:22:43.020 be always generated from a laboratory-created manufactured clone RNA. 01:22:43.020 --> 01:22:44.020 That's the reality. 01:22:44.020 --> 01:22:45.900 It could be. 01:22:45.900 --> 01:22:50.060 The reality is not that it could be that there are millions of viruses out there in 01:22:50.060 --> 01:22:55.260 the wild and that there are pandemics happening and avoided all the time. 01:22:55.260 --> 01:23:00.780 That's at least the idea that we are using clones all the time and making clones and 01:23:00.780 --> 01:23:05.660 that that's the only danger is at least as equally likely as the opposite. 01:23:05.660 --> 01:23:10.100 This worst-case scenario narrative, which I'm sure in my heart of hearts, it really feels 01:23:10.100 --> 01:23:13.900 like it doesn't have a firm foundation in biology. 01:23:13.900 --> 01:23:21.460 Again, you can find the entire gain of function symposium on usatonicits.com's website under 01:23:21.460 --> 01:23:24.500 the gain of function symposium 2016. 01:23:24.500 --> 01:23:29.380 All of those are also hosted on a YouTube channel, and then the individual video that 01:23:29.380 --> 01:23:34.660 we watched is also right there. 01:23:34.660 --> 01:23:35.660 So we have been... 01:23:35.660 --> 01:23:37.860 What I want is time morbidity. 01:23:37.860 --> 01:23:39.100 I want people to complain. 01:23:39.100 --> 01:23:41.300 By these people. 01:23:41.300 --> 01:23:43.020 And I think it is the best. 01:23:43.020 --> 01:23:48.500 It's really fabulous that Sacha Latopova has found James Giordano and realizes how pivotal 01:23:48.500 --> 01:23:49.500 this lecture is. 01:23:49.500 --> 01:23:54.780 I'm so happy that she's also trying to call out Robert F. Kennedy Jr. to make sure that 01:23:54.780 --> 01:24:00.540 we try to keep pushing him forward, to keep retrospectively looking at the pandemic 01:24:00.540 --> 01:24:07.020 for evidence from other fields and evidence from other data sets to prove or disprove 01:24:07.020 --> 01:24:10.340 the spread of a risk-additive pathogen in 2020. 01:24:10.340 --> 01:24:15.860 And I think we can get him over the edge to understand that infectious RNA clones is 01:24:15.860 --> 01:24:20.380 the only real threat in modern RNA virology. 01:24:20.380 --> 01:24:26.180 And again, that's because infectious material is very hard to come by by any other means. 01:24:26.180 --> 01:24:32.980 And we have been bamboozled by a spectacular commitment to this lie. 01:24:32.980 --> 01:24:36.580 Some people have been coerced, some people have been wittingly and unwittingly... 01:24:36.580 --> 01:24:38.620 Oh yeah, I wanted to show you that. 01:24:38.620 --> 01:24:40.300 I mean, isn't that crazy? 01:24:40.300 --> 01:24:47.820 Have you ever heard this language before, anywhere else, besides... 01:24:47.820 --> 01:24:48.820 Let me see if it's here. 01:24:48.820 --> 01:25:07.100 Did I copy it or did I wittingly or unwittingly? 01:25:07.100 --> 01:25:09.420 Here it is right here at the top. 01:25:09.420 --> 01:25:15.060 All pandemics to date have been faked by the military industrial globalist cabal with numerous 01:25:15.060 --> 01:25:20.260 witting and unwitting participants. 01:25:20.260 --> 01:25:21.660 I mean, I'm not... 01:25:21.660 --> 01:25:22.740 I don't care. 01:25:22.740 --> 01:25:24.860 I really don't. 01:25:24.860 --> 01:25:31.060 But I'm just wondering if anybody else that's watching the show right now sees any striking 01:25:31.060 --> 01:25:37.700 resemblance to the message that I've been sending for the last year, year and a half or so. 01:25:37.700 --> 01:25:39.340 Four ways to fake the... 01:25:39.340 --> 01:25:45.420 Easy ways to fake the pandemic, Spanish-fluous fake, John Beaudoin's good, Meryl Nasse and 01:25:45.420 --> 01:25:50.740 Lab Leaks, then witting and unwitting participants. 01:25:50.740 --> 01:25:52.780 RFK doesn't have it quite right yet. 01:25:52.780 --> 01:25:55.100 I actually have that in his book. 01:25:55.100 --> 01:25:57.380 And then also James Giordano. 01:25:57.380 --> 01:25:59.460 It's really interesting to me. 01:25:59.460 --> 01:26:03.180 But witting and unwitting participants is... 01:26:03.180 --> 01:26:06.060 I guess it's a pretty common phrase in English. 01:26:06.060 --> 01:26:07.220 I guess that's possible. 01:26:07.220 --> 01:26:08.220 I don't know. 01:26:08.220 --> 01:26:11.660 Anyway, here we are, ladies and gentlemen. 01:26:11.660 --> 01:26:17.420 It's been a fun, fun, fun time and it is only just starting. 01:26:17.420 --> 01:26:24.900 My 52nd year, the entire year is probably going to be spent trying to make sure that 01:26:24.900 --> 01:26:28.140 your kids and mine do not get on this train. 01:26:28.140 --> 01:26:34.380 The your kids and mine learned the truth that Alex Berenson said live on Joe Rogan that, 01:26:34.380 --> 01:26:39.540 you know, if you had to invest in one thing, it would be in sewage and in water treatment 01:26:39.540 --> 01:26:43.820 in sanitation because that's where we got the most gains. 01:26:43.820 --> 01:26:48.260 He's not going to go so far as to say that we didn't need vaccines, that we wouldn't 01:26:48.260 --> 01:26:53.340 have needed vaccines to have that huge reduction in polio and measles and other transmissible 01:26:53.340 --> 01:26:58.540 disease when we got nutrition up and we got water treatment up and we got sewage treatment 01:26:58.540 --> 01:27:00.620 up and we got water purity up. 01:27:00.620 --> 01:27:05.700 Hello. 01:27:05.700 --> 01:27:12.940 And they definitely don't want us to understand the extent of the coronavirus illusion. 01:27:12.940 --> 01:27:19.260 How little fidelity that they really have, how over exaggerated this signal has been 01:27:19.260 --> 01:27:21.860 and how unmonitored it was before the pandemic. 01:27:21.860 --> 01:27:23.980 So we can free our college kids. 01:27:23.980 --> 01:27:29.380 We can free our children and prevent our grandchildren from ever getting on this train in the first 01:27:29.380 --> 01:27:30.380 place. 01:27:30.380 --> 01:27:32.460 We have to teach our children the way out. 01:27:32.460 --> 01:27:37.340 We have to teach them the biology that will free them to make sure that this lie never 01:27:37.340 --> 01:27:38.700 becomes the truth. 01:27:38.700 --> 01:27:42.900 They must learn the biology because then it can't happen. 01:27:42.900 --> 01:27:46.180 And that biology describes this as a Scooby-Doo. 01:27:46.180 --> 01:27:51.380 We were fooled into believing that something leaked in 2009 by all the lies and the redacted 01:27:51.380 --> 01:27:54.460 emails and the arguing in front of the Senate. 01:27:54.460 --> 01:27:58.220 And for five years, we've been fooled by this illusion of consensus that people think 01:27:58.220 --> 01:28:02.420 that this is the right question to ask, that it's either a lab leak or a natural virus 01:28:02.420 --> 01:28:06.300 and getting mad about it and this faith that there was a virus, this faith that millions 01:28:06.300 --> 01:28:09.820 of people died, this is the danger, this is the mythology. 01:28:09.820 --> 01:28:13.980 We cannot pass on to our children or they will be lost forever and more importantly, 01:28:13.980 --> 01:28:15.580 our grandchildren will be. 01:28:15.580 --> 01:28:17.340 This faith is a lie. 01:28:17.340 --> 01:28:18.940 It was a background. 01:28:18.940 --> 01:28:21.260 It was an amplified noise. 01:28:21.260 --> 01:28:24.020 It was a signal that was planted there. 01:28:24.020 --> 01:28:31.540 It was not a natural occurrence. 01:28:31.540 --> 01:28:37.060 It was not a natural occurrence, like the spilling of a signal in one place and spreading from 01:28:37.060 --> 01:28:38.060 a point. 01:28:38.060 --> 01:28:40.020 That's not how it happened. 01:28:40.020 --> 01:28:42.420 And yet that's what we are told. 01:28:42.420 --> 01:28:44.860 That's what every one of these people believes. 01:28:44.860 --> 01:28:50.060 That's what every one of these people is defending, including Kevin McKernan. 01:28:50.060 --> 01:28:55.980 Because the clone chemtrail hypothesis is, it's chemtrail retarded. 01:28:55.980 --> 01:29:01.980 The biology is the way out cause first call for a stop to the childhood vaccine schedule 01:29:01.980 --> 01:29:07.620 in America by simply advocating for it to be compared to other Western countries and 01:29:07.620 --> 01:29:14.220 acknowledge that it's too early and too many and therefore it has to be criminal advocate 01:29:14.220 --> 01:29:18.820 for strict liability for these products because that's the way that we fix this problem. 01:29:18.820 --> 01:29:22.380 Investigate the use of deadly protocols to cause mass casualty events. 01:29:22.380 --> 01:29:28.820 That's Jessica Hockett, that's Jonathan Engler, that's Martin Neil. 01:29:28.820 --> 01:29:32.340 Investigate the use of mass casualty events and transfection to create the illusion of 01:29:32.340 --> 01:29:34.180 a pandemic. 01:29:34.180 --> 01:29:39.500 And that we can talk to Pierre Corey and Nurse Aaron and all these other people that were 01:29:39.500 --> 01:29:44.740 supposedly there during the worst time but actually weren't and we're not really sure 01:29:44.740 --> 01:29:47.340 what they were doing. 01:29:47.340 --> 01:29:50.780 So we need to claim sovereignty over our children's bodies again, we need to get out 01:29:50.780 --> 01:29:54.620 of the who, we need to get out of the UN, we need to close our CDC. 01:29:54.620 --> 01:29:57.420 And you can see these people because they won't say these things. 01:29:57.420 --> 01:30:02.140 Pierre Corey said that all childhood vaccinations were bad at some point on Jimmy Dorr. 01:30:02.140 --> 01:30:05.620 So I think we should watch that video to see what else he says. 01:30:05.620 --> 01:30:07.540 But they won't advocate for strict liability. 01:30:07.540 --> 01:30:14.380 You won't hear any of these lawyers at ICANN like, like Siri say, we should just advocate 01:30:14.380 --> 01:30:15.460 for strict liability. 01:30:15.460 --> 01:30:20.660 You won't hear Siri say that we should go against this from the Seventh Amendment perspective 01:30:20.660 --> 01:30:22.540 and try to get it struck in federal court. 01:30:22.540 --> 01:30:25.940 You won't hear them say that because it's maybe not the right time or something. 01:30:25.940 --> 01:30:27.740 I don't know. 01:30:27.740 --> 01:30:30.220 You're not going to hear them talk about the deadly protocols. 01:30:30.220 --> 01:30:32.060 They're always going to now going forward. 01:30:32.060 --> 01:30:34.420 They're always going to focus on the vaccine. 01:30:34.420 --> 01:30:38.100 And that's what you saw when they co-opted Denis Rancourt's data. 01:30:38.100 --> 01:30:41.340 They exclusively focused on the 17 million number. 01:30:41.340 --> 01:30:46.100 Now you have people calling out Brett Weinstein is saying that 17 million number, the 17 01:30:46.100 --> 01:30:47.620 million number is dumb. 01:30:47.620 --> 01:30:50.500 And you have Brett Weinstein say, well, I didn't say 17 million. 01:30:50.500 --> 01:30:53.380 I was just quoting somebody else. 01:30:53.380 --> 01:30:58.380 And all the while everybody ignores the John Beaudoin and Denis Rancourt and Jessica Hockett 01:30:58.380 --> 01:31:03.620 and Jonathan Engler all have data from all around the world that shows there was no spreading 01:31:03.620 --> 01:31:06.620 pathogen. 01:31:06.620 --> 01:31:10.820 They don't use the word clone because it's going to reveal the fact that RNA virology 01:31:10.820 --> 01:31:17.820 in and of itself is foundationally dependent on this methodology and therefore is overextended 01:31:17.820 --> 01:31:23.900 is exaggerated and likely most are all of the objections laid out by Stefan Lanka and the 01:31:23.900 --> 01:31:28.220 Bailey's and all these people are likely true. 01:31:28.220 --> 01:31:32.100 And so you're damn right I was taken. 01:31:32.100 --> 01:31:35.900 And so as I admit this, they make fun of it as I admit this people are coming on. 01:31:35.900 --> 01:31:37.820 Well, why didn't you just vaccinate your kids? 01:31:37.820 --> 01:31:38.820 Yeah, I did. 01:31:38.820 --> 01:31:39.820 I admitted it. 01:31:39.820 --> 01:31:42.900 I lied about it and I'll do it again. 01:31:42.900 --> 01:31:46.180 Cry about it, that is. 01:31:46.180 --> 01:31:48.540 It's these other people who say I just made honest mistakes. 01:31:48.540 --> 01:31:54.460 I don't have anything to apologize for just because I advocated for masks for two years, 01:31:54.460 --> 01:31:58.340 just because I advocated for lockdown for two years, just because I said it was a gain 01:31:58.340 --> 01:31:59.700 a function virus for two years. 01:31:59.700 --> 01:32:04.500 I don't have any obligation to learn virology for myself so that I don't make a mistake 01:32:04.500 --> 01:32:08.620 to my hundreds of thousands of viewers. 01:32:08.620 --> 01:32:11.260 That's what these people think. 01:32:11.260 --> 01:32:12.580 That's not what we're doing here though. 01:32:12.580 --> 01:32:16.460 We're teaching this biology now and we're going to keep teaching it as we try to do study 01:32:16.460 --> 01:32:18.540 halls to figure it out together. 01:32:18.540 --> 01:32:23.060 We're going to try and summarize across the entire show and we're going to attack ideas 01:32:23.060 --> 01:32:24.180 instead of people. 01:32:24.180 --> 01:32:28.560 That's how we're going to get out of this because they are trying to reduce the population 01:32:28.560 --> 01:32:33.140 and they are going to do it by just not letting our kids think it's a cool thing to 01:32:33.140 --> 01:32:40.780 have have kids to show you commercials on YouTube about being a single woman with 01:32:40.780 --> 01:32:48.140 no kids and how great it is or on rumble because they don't want us to have kids. 01:32:48.140 --> 01:32:50.380 They want the population to go down. 01:32:50.380 --> 01:32:55.820 They really do but as it goes down, they also want you to surrender. 01:32:55.820 --> 01:32:57.620 They want our kids to surrender. 01:32:57.620 --> 01:33:02.380 More importantly, more importantly, the way to say it is they want us to surrender our 01:33:02.380 --> 01:33:07.900 children because they think that the artificial general intelligence is just right around 01:33:07.900 --> 01:33:08.900 the corner. 01:33:08.900 --> 01:33:12.460 So they got to collect this data so that they can feed it and so that it can figure 01:33:12.460 --> 01:33:13.660 out how the genome works. 01:33:13.660 --> 01:33:19.420 It can figure out all the irreducible complexity that we've never been able to penetrate. 01:33:19.420 --> 01:33:24.060 Ladies and gentlemen, stop all transfections in humans because they are trying to eliminate 01:33:24.060 --> 01:33:30.620 the control group by any means necessary intramuscular injection of any combination of substances 01:33:30.620 --> 01:33:33.340 with the intent of augmenting the immune system is dumb. 01:33:33.340 --> 01:33:37.620 Transfection in healthy humans is criminally negligent and viruses are not patterned integrity. 01:34:00.620 --> 01:34:07.620 Thank you very much guys, thank you very much for joining me and thanks for the birthday 01:34:07.620 --> 01:34:08.620 wishes. 01:34:08.620 --> 01:34:09.620 I will have a good time. 01:34:09.620 --> 01:34:11.060 I'm going to watch this game. 01:34:11.060 --> 01:34:17.740 I coached already this morning early and came back and I did the stream and I got the eighth 01:34:17.740 --> 01:34:22.260 graders, the eighth grade boy he plays but I'm not his coach. 01:34:22.260 --> 01:34:26.740 If you would like to support the stream, please go to gigglehomebiological.com. 01:34:26.740 --> 01:34:30.980 If you'd like to communicate with me there, you can find a telephone number, you can 01:34:30.980 --> 01:34:38.340 also find an email, you can find me at gigglehome.bio which is kind of like a Twitter alternative. 01:34:38.340 --> 01:34:42.660 You can support Gigglehome there at the green, you can find this link at the watch and then 01:34:42.660 --> 01:34:47.900 of course there's a schedule and then down at the bottom there's places to subscribe. 01:34:47.900 --> 01:34:50.740 I can't thank everybody enough for jumping on board. 01:34:50.740 --> 01:34:53.380 I will not let you down this year. 01:34:53.380 --> 01:34:56.940 These subscribers are contributing to what I think is going to be the most important 01:34:56.940 --> 01:35:03.740 or one of the most important independent news streams on the internet in the coming year 01:35:03.740 --> 01:35:09.660 and I think Mark Housatonic.Live and myself and a few other people are starting 01:35:09.660 --> 01:35:17.460 to form what is a loose, you know, intellectual bright web on the internet and I'm really 01:35:17.460 --> 01:35:21.220 excited and I really have these people and more to thank for that. 01:35:21.220 --> 01:35:27.620 So thank you very much for joining me and if you have the means and the opportunity 01:35:27.620 --> 01:35:31.740 I have a drink for me, please, 52 years old, see you tomorrow.