WEBVTT 00:00.000 --> 00:05.000 Hell's thing 1, 2, tells 2, 1, 2... 00:05.000 --> 00:07.000 BEEP BEEP! 00:07.000 --> 00:10.000 LAUGHTER 00:10.000 --> 00:12.000 Ahem... 00:16.000 --> 00:18.000 That should be okay... 00:18.000 --> 00:19.000 Yes... 00:19.000 --> 00:21.000 That should be just best... 00:21.000 --> 00:23.000 Ahem... 00:30.000 --> 00:42.000 I should also point out that our viewers will have noticed that we are sitting here unmasked, 00:42.000 --> 00:45.000 and I should point out that actually we are, in an interesting sense, 00:45.000 --> 00:50.000 a model of something that I believe is not on the public radar. 00:50.000 --> 00:54.000 So, if I'm correct, you, Robert, have had COVID. 00:54.000 --> 00:55.000 I've had COVID. 00:55.000 --> 00:58.000 Technically speaking in the chat, I am Katniss. 00:58.000 --> 01:00.000 It's first, Kristi... 01:00.000 --> 01:01.000 I've been vaccinated. 01:01.000 --> 01:03.000 You missed it by a hair, I'm afraid. 01:03.000 --> 01:07.000 Alright, I am unvaccinated, but I am on prophylactic ivermectin, 01:07.000 --> 01:10.000 and the data actually, shocking as this will be to some people, 01:10.000 --> 01:16.000 the data suggests that prophylactic ivermectin is something like 100% effective 01:16.000 --> 01:19.000 at preventing people from contracting COVID when taken properly. 01:19.000 --> 01:24.000 So, aside from the risk that possibly the ivermectin I got wasn't real, 01:24.000 --> 01:30.000 and I have every reason to think it was, it certainly appears to be the genuine article. 01:30.000 --> 01:35.000 I believe that what we have here is a demonstration of a kind of composite herd immunity, 01:35.000 --> 01:41.000 where through three different routes, COVID, vaccine, and ivermectin, we are protected, 01:41.000 --> 01:43.000 and you are doubly protected. 01:43.000 --> 01:47.000 So, I would just say that for anybody who's enthusiastic about the vaccines, 01:47.000 --> 01:50.000 if you're unconvinced by what we have to say about the hazard of them, 01:50.000 --> 01:54.000 one thing to consider is that the way to get society to herd immunity, 01:54.000 --> 01:58.000 and therefore drive COVID-19 to extinction, which ought to be our goal, 01:58.000 --> 02:02.000 the way to do it is to get people into this category one way or the other. 02:02.000 --> 02:05.000 Whether that's through prophylaxis, whether it's through a vaccine, 02:05.000 --> 02:08.000 or whether it's because they've had COVID already. 02:08.000 --> 02:14.000 One could argue that if everybody just took ivermectin for a month, 02:14.000 --> 02:17.000 worldwide, really independent. 02:17.000 --> 02:21.000 And someone will find the title that I have given in this episode. 02:21.000 --> 02:25.000 I would ask them to stick with the episode. 02:25.000 --> 02:28.000 I'm telling you why I titled this idea. 02:28.000 --> 02:34.000 I really believe that actually we have the capacity at any moment we decide to utilize it 02:34.000 --> 02:38.000 to end the pandemic and that it is well within reach 02:38.000 --> 02:41.000 should we choose to see what is in front of us. 02:41.000 --> 02:44.000 What I want is high morbidity. 02:44.000 --> 02:46.000 I want people to complain. 02:46.000 --> 02:48.000 What I do, I go to Des Moines. 02:48.000 --> 02:51.000 Ladies and gentlemen of people on the screen, I have nothing against Des Moines. 02:51.000 --> 02:53.000 I live there for four years. I go to Des Moines. 02:53.000 --> 02:56.000 I infect a couple of Sentinel cases in Des Moines. 02:56.000 --> 02:59.000 I go to Seattle. I infect a couple of cases there. 02:59.000 --> 03:06.000 Annie Wershing was my friend in Chicago in the time before I moved to the Netherlands. 03:06.000 --> 03:11.000 And we worked at the same bar called Shuba's. 03:11.000 --> 03:19.000 We spent about two years together as friends, whatever. 03:19.000 --> 03:23.000 We had a lot of good times with a lot of different people. 03:23.000 --> 03:30.000 It was a really interesting time in my life as a bartender and a high school teacher 03:30.000 --> 03:33.000 and not really knowing what I wanted to be yet. 03:33.000 --> 03:39.000 And she moved to LA, met Steve in Chicago before she moved to LA. 03:39.000 --> 03:41.000 He's a voice actor. 03:41.000 --> 03:46.000 She had to take the shot to be on that set upstairs up there. 03:46.000 --> 03:52.000 And she got a pretty advanced brain cancer and died on January 29th, 2023. 03:52.000 --> 04:00.000 I'm 100% sure it's because she was forced to be transfected and boosted in order to be on set in Hollywood. 04:00.000 --> 04:05.000 And they did it to a lot of people and they did it with a worst-case scenario narrative. 04:05.000 --> 04:07.000 They're all guilty. 04:08.000 --> 04:14.000 And as a consequence of doing that, what I do is I create a schism between the polis and the public health system. 04:14.000 --> 04:21.000 I fracture the integrity of trust and reliance upon the population and its government. 04:37.000 --> 04:39.000 I'm not going to do that. 04:39.000 --> 04:40.000 I'm not going to do that. 04:40.000 --> 04:41.000 I'm not going to do that. 04:41.000 --> 04:42.000 I'm not going to do that. 04:42.000 --> 04:43.000 I'm not going to do that. 04:43.000 --> 04:44.000 I'm not going to do that. 04:44.000 --> 04:45.000 I'm not going to do that. 04:45.000 --> 04:46.000 I'm not going to do that. 04:46.000 --> 04:47.000 I'm not going to do that. 04:47.000 --> 04:48.000 I'm not going to do that. 04:48.000 --> 04:49.000 I'm not going to do that. 04:49.000 --> 04:50.000 I'm not going to do that. 04:50.000 --> 04:51.000 I'm not going to do that. 04:51.000 --> 04:52.000 I'm not going to do that. 04:52.000 --> 04:53.000 I'm not going to do that. 04:53.000 --> 04:54.000 I'm not going to do that. 04:54.000 --> 04:55.000 I'm not going to do that. 04:55.000 --> 04:56.000 I'm not going to do that. 04:56.000 --> 04:57.000 I'm not going to do that. 04:57.000 --> 04:58.000 I'm not going to do that. 04:58.000 --> 04:59.000 I'm not going to do that. 04:59.000 --> 05:00.000 I'm not going to do that. 05:00.000 --> 05:01.000 I'm not going to do that. 05:01.000 --> 05:02.000 I'm not going to do that. 05:02.000 --> 05:03.000 I'm not going to do that. 05:03.000 --> 05:04.000 I'm not going to do that. 05:04.000 --> 05:05.000 I'm not going to do that. 05:05.000 --> 05:06.000 I'm not going to do that. 05:06.000 --> 05:07.000 I'm not going to do that. 05:07.000 --> 05:08.000 I'm not going to do that. 05:08.000 --> 05:09.000 I'm not going to do that. 05:09.000 --> 05:10.000 I'm not going to do that. 05:10.000 --> 05:11.000 I'm not going to do that. 05:11.000 --> 05:12.000 I'm not doing that. 05:12.000 --> 05:13.000 I'm not doing that. 05:13.000 --> 05:14.000 I'm not doing that. 05:14.000 --> 05:15.000 I'm not doing that. 05:15.000 --> 05:16.000 I am not going to do that. 05:16.000 --> 05:17.000 I've not done that. 05:17.000 --> 05:18.000 I think I've never done it. 05:18.000 --> 05:19.000 I think I've never done that. 05:20.000 --> 05:21.000 I think I've never gone. 05:21.000 --> 05:22.000 I've never gone. 05:22.000 --> 05:23.000 I think I've never gone. 05:23.000 --> 05:24.000 I think I've never gone. 05:24.000 --> 05:25.000 I think I've never gotten. 05:25.000 --> 05:50.000 This schedule for 60 minutes next is going on French, British, Italian, Japanese television. 05:50.000 --> 06:00.000 People everywhere are starting to listen to him. It's embarrassing. 06:20.000 --> 06:24.000 I feel so nervous. Like what in the world, man? 06:43.000 --> 06:47.000 Ooh, we had a little glitch there. We got to catch up on that one. 06:47.000 --> 06:50.000 There we go. I think that's good. 07:17.000 --> 07:46.000 So a little bit rusty here, a little bit rocky road here. 07:46.000 --> 07:51.000 Sorry about that. We are getting another show in tonight. 07:51.000 --> 07:59.000 I thought I would do a little relaxing one instead of always trying to be so on point. 07:59.000 --> 08:07.000 Mark Housatonic did a wonderful short video today on his third channel on YouTube. 08:07.000 --> 08:12.000 If you haven't checked it out, I would highly recommend it. 08:12.000 --> 08:16.000 He may have cleaned it up and put it on some of his other channels. 08:16.000 --> 08:24.000 And if that's the case, then also make sure to check those out as well. 08:24.000 --> 08:31.000 That's a little loud to me, but we'll see here. 08:31.000 --> 08:37.000 I can definitely see the brick wall at the back of the theater. I hope you can see it too. 08:37.000 --> 08:43.000 We are becoming more and more the biology that is much easier for them to ignore. 08:43.000 --> 08:48.000 The new pivot is to ignore us. 08:48.000 --> 08:52.000 So we're just going to keep doing the work that we're doing. 08:52.000 --> 08:56.000 We're just going to keep talking to the talk and walking the walk. 08:56.000 --> 09:05.000 If they can't keep up, they're not going to get rained on them because they're all stuck in the cave. 09:05.000 --> 09:14.000 So if we make our way out, and other people don't follow, I don't think we really have to worry about it too much yet. 09:14.000 --> 09:19.000 After we've mapped this all the way out, we can help the rest of the people get out of there. 09:19.000 --> 09:24.000 This stream is brought to you by a patch clamp physiologist, retired. 09:24.000 --> 09:31.000 A patch clamp physiologist is an expert of making giga-ohm seals with... 09:31.000 --> 09:39.000 Borosilic and glass pipettes and making very high-resistance low-noise recordings from neurons. 09:39.000 --> 09:46.000 Sometimes the live brain slices are even live animals, and so that's why we decided to call this the giga-ohm biological, 09:46.000 --> 09:49.000 high-resistance low-noise information brief. 09:49.000 --> 09:55.000 You can find me located at giga-ohmbiological.com and you can communicate with me at gigaohm.bio. 09:55.000 --> 10:00.000 At the website, you can find my confession at that link called Scooby, 10:00.000 --> 10:04.000 and you can find a way of supporting me in a number of different ways. 10:04.000 --> 10:11.000 A single link, a schedule, and then at the bottom there are ways to subscribe, either monthly, quarterly, or annually, 10:11.000 --> 10:17.000 and it would just be wonderful if we could get enough people to do that, 10:17.000 --> 10:22.000 so we could just keep this going two or three times a day. 10:23.000 --> 10:30.000 Right now, I think I can swing one, and soon we're going to have one plus a PDF once a week. 10:30.000 --> 10:36.000 I think sooner or later, every one of these is going to be up on sub-stack. 10:36.000 --> 10:39.000 I did take the weekend off because we had a lot of basketball games, 10:39.000 --> 10:41.000 but we're going to get back in the groove again here. 10:41.000 --> 10:45.000 These are the supporters of giga-ohmbiological that make it possible. 10:45.000 --> 10:48.000 This list has not been updated in the last couple days, 10:48.000 --> 10:53.000 so don't be too ashamed or rather too upset if your name wasn't there yet, 10:53.000 --> 10:57.000 because that's just a matter of having too many things. 11:00.000 --> 11:03.000 I just converted my garage for a new cat. 11:03.000 --> 11:06.000 A new cat, what does that mean? 11:08.000 --> 11:13.000 A new cat is a little nicer than my new cat. 11:13.000 --> 11:17.000 You're going to tell me what a new what would you convert your garage for a new cat is. 11:17.000 --> 11:19.000 We're going to break this illusion of consensus. 11:19.000 --> 11:21.000 We're in the fifth year. Don't forget to point that out to people. 11:21.000 --> 11:24.000 Oh, a new car, okay, yeah, yeah. 11:24.000 --> 11:28.000 And I don't even know who can afford a new car nowadays. 11:28.000 --> 11:30.000 That's pretty impressive. 11:30.000 --> 11:33.000 This was probably a conflated background signal. 11:33.000 --> 11:36.000 Just remember that intramuscular injection of any combination of substances 11:36.000 --> 11:38.000 with the incentive augmenting the immune system. 11:39.000 --> 11:42.000 Transmission in healthy humans is permanently negligent, 11:42.000 --> 11:46.000 and it is the 29th of January, 2024. 11:46.000 --> 11:50.000 This is the going biologically high-resistance low-noise information 11:50.000 --> 11:52.000 we brought to you by a biologist. 11:52.000 --> 11:56.000 We're fighting against this faith in a novel virus that supposedly killed millions, 11:56.000 --> 11:58.000 but millions more were saved from. 11:58.000 --> 12:01.000 It likely came from gain of function, and therefore we'll come again. 12:01.000 --> 12:05.000 We can't tell this story to our kids, even if the TV wants us to, 12:05.000 --> 12:09.000 and the way to break this cycle is to teach them the biology that includes 12:09.000 --> 12:13.000 there's no evidence for spreading New York City infectious clones are the only real threat. 12:13.000 --> 12:17.000 placebo batches were likely distributed in transmission and healthy mammals is dumb. 12:17.000 --> 12:20.000 You can remind them that the protocols were mostly murdered, 12:20.000 --> 12:22.000 gain of function is mostly mythology, 12:22.000 --> 12:26.000 and the scooby-doo that is being fooled into solving a mystery is real 12:26.000 --> 12:30.000 because these people are spectacularly committed to lies. 12:30.000 --> 12:37.000 Well, this is actually a separate room in the back of my garage. 12:37.000 --> 12:41.000 It used to be, I guess, a wood shop or something like that. 12:41.000 --> 12:43.000 It's got a lot of outlets. 12:43.000 --> 12:47.000 It's got its own separate heater and air conditioner, 12:47.000 --> 12:51.000 and it's kind of got a separate entry door with locks on both sides. 12:51.000 --> 12:53.000 It's really like an add-on. 12:53.000 --> 12:58.000 It's a really weird, lucky thing to be in the back of my garage. 12:58.000 --> 13:04.000 I have a renting house in Pittsburgh that I had to take because I had to give up the house 13:04.000 --> 13:09.000 that I was renting to own because I lost my position at the University of Pittsburgh. 13:09.000 --> 13:14.000 I've heard other stories of people losing their homes, 13:14.000 --> 13:18.000 but I think I've got the one real legitimate. 13:18.000 --> 13:24.000 Anyways, let me switch out of this one. 13:24.000 --> 13:27.000 I'm just going to switch out of this one, 13:27.000 --> 13:31.000 and I will drop in the other one. 13:38.000 --> 13:42.000 So that's probably a copyrighted song, and something's going to get screwed up there. 13:42.000 --> 13:44.000 I had that mixed in, correct. 13:44.000 --> 13:46.000 And then, good evening, ladies and gentlemen. 13:46.000 --> 13:51.000 This is Giga Own Biological, a high-resistance low-noise information brief brought to you by a biologist. 13:51.000 --> 13:52.000 My name is Jonathan Cooley. 13:52.000 --> 13:57.000 I am the biologist bringing you that show from the back of his garage in Pittsburgh, Pennsylvania. 13:57.000 --> 14:02.000 I am fighting against a few things. 14:02.000 --> 14:05.000 I'm fighting against tyranny of the mind. 14:05.000 --> 14:07.000 I'm fighting against misleading the young. 14:07.000 --> 14:14.000 I'm fighting against this manipulation of our organized habits and opinions. 14:15.000 --> 14:23.000 And I believe that for quite some time, our society has been manipulated and led to believe in a mythology about public health 14:23.000 --> 14:29.000 under the pretense that eventually they were going to shake up our world and start governing us by this mythology. 14:29.000 --> 14:32.000 I believe we are at that pivot point right now. 14:32.000 --> 14:38.000 I believe we should have woken up much sooner that we were in this pivot point, but we did not. 14:38.000 --> 14:41.000 And that is kind of a pity, but you know what can you do about it? 14:41.000 --> 14:44.000 We're here now, and we've got to make the best of it. 14:44.000 --> 14:52.000 The principle of informed consent has been ignored for the duration of the pandemic, and that can be one place to start with our young people. 14:52.000 --> 15:01.000 We can also start with just kind of analogy to try and convince them that this elaborate act that they saw in 2020 at the beginning of the pandemic 15:01.000 --> 15:09.000 that was kind of like an emergency, kind of like a tornado drill, kind of like a weird, I don't know. 15:09.000 --> 15:18.000 Well, it seemed a little forced. And then also the drama between the public health officials and Donald Trump and them laughing behind him and stuff like this. 15:18.000 --> 15:24.000 This was all about creating this mystery that you were supposed to solve to try and figure out what were these people up to. 15:24.000 --> 15:33.000 Were they trying to hide anything and then getting into arguments in front of people that was all about this. 15:33.000 --> 15:52.000 So we know that this pandemic was created by a series of orchestrated plans over a long and a short time scale from seating scientific programs and peer reviewed publications to, to, to form the foundation of pandemic potential 15:52.000 --> 15:56.000 to running government level exercises to respond to pandemic potential. 15:56.000 --> 16:16.000 And then to have this team of worst case scenario actors on TV and on social media from 2019 ready to go so that when the media and the narrative needed controlling that these people were already there as trusted voices in these alternative spaces. 16:17.000 --> 16:26.000 And I believe these are one of the reasons these people are a very important reason why a number of people were taken behind the scenes early on. 16:26.000 --> 16:38.000 You may not be aware of the fact that they rolled out the shots in Hollywood on Hollywood sets earlier than they rolled it out in other places. 16:38.000 --> 16:45.000 It's similar to how it has been reported by certain people from behind the scenes that it was rolled out on movies. 16:45.000 --> 16:49.000 I mean, TV news sets. 16:49.000 --> 16:59.000 In other words, TV news programs and the people that participated and worked on staff were kind of more or less coerced into taking the shot. 16:59.000 --> 17:04.000 And they were coerced by two things. One, that they were essential workers. 17:04.000 --> 17:11.000 And number two, that they were being given very special batches of the countermeasure. 17:11.000 --> 17:15.000 Most or all of them got Moderna. They did this on Hollywood sets. 17:15.000 --> 17:25.000 And in fact, I know from firsthand accounts that they did it at Hollywood parties over the Christmas season during 2020. 17:25.000 --> 17:30.000 I want you to think about that very carefully because not very many people know that. 17:30.000 --> 17:38.000 It's even possible that Annie took one of those shots because she was offered one of them in a situation like that. 17:38.000 --> 17:47.000 But for sure, all of the lowest level people on Hollywood sets were required to take the shot in order to even be on set. 17:47.000 --> 17:49.000 Never mind masking. 17:50.000 --> 17:57.000 And so this enforced a narrative among people. It enforced a narrative among an entire culture. 17:57.000 --> 18:04.000 And that it shouldn't be underestimated how difficult it is to get past that. 18:04.000 --> 18:16.000 And that's why I do this thing with Star Trek because I really, I had always had the idea that I was going to do some kind of Star Trek episode 18:16.000 --> 18:23.000 and make it about immunology. And then I was going to send it to Annie and it was going to stop this whole thing. 18:23.000 --> 18:29.000 And she was going to help and it was going to get on Instagram and it was going to be all this big deal. 18:29.000 --> 18:34.000 Total plan. It was all laid out. I knew what I was going to do. 18:34.000 --> 18:40.000 And it was too late but wasn't going to save her family. But, you know, I didn't know. 18:41.000 --> 18:45.000 And then it just got on the back burner and on the back burner and it never happened and never happened. 18:45.000 --> 18:54.000 And then suddenly I was reminded of the fact that I had this idea to do a Star Trek episode episode from the future. 18:54.000 --> 18:57.000 Like a message from the future. 18:57.000 --> 19:08.000 And I got the recall because I found out that she was on this this Picard show where she was a Borg Queen who helped them travel back in time 19:08.000 --> 19:15.000 to like reset the past so that the bad future didn't happen where Picard was like a bad guy. 19:15.000 --> 19:20.000 It was such a weird thing because then I was like, oh my gosh, that's kind of my idea. 19:20.000 --> 19:31.000 It was to call back from the future and say that somebody had taught the wrong immunology to the human race in order to ruin the Federation of Planets 19:31.000 --> 19:34.000 before it could ever form. 19:34.000 --> 19:37.000 So bizarre. 19:37.000 --> 19:39.000 And now she's gone. 19:39.000 --> 19:46.000 All gone. Like just vanished. Just like Nathan. A whole beautiful family without a parent. Forever. 19:46.000 --> 19:53.000 Because of this. Because of bad ideas. Not because of the spread of an RNA. 19:54.000 --> 20:17.000 I am absolutely, absolutely serious when I say that I'm probably going to die crazy or angry or jaded unless something absolutely amazing happens in my lifetime. 20:18.000 --> 20:24.000 And I'm fine. I am totally fine with it taking the rest of my lifetime, me being 52 yesterday. 20:24.000 --> 20:31.000 I am totally fine with it taking the most of the rest of my lifetime in order for this to reset itself. 20:31.000 --> 20:38.000 For us to go back to a time when our children could be innocent and biology was sacred. 20:38.000 --> 20:45.000 I am totally fine with that. 20:45.000 --> 20:48.000 But I'm not fine with this not ever going back. 20:48.000 --> 20:56.000 I'm not fine with my kids growing up in a world with this kind of duality. 20:56.000 --> 21:12.000 This kind of lack of respect. Lack of reverence. I'm not going to allow it to happen and I hope you won't either. 21:12.000 --> 21:23.000 Lots of interesting things. Lots of interesting things happening. Some good, some bad, some questionable, some weird. 21:23.000 --> 21:28.000 We've talked about a lot of it and this is the most important part of it. 21:28.000 --> 21:35.000 They ignore this. All of them ignore this. You can call me a lot of different names. 21:35.000 --> 21:39.000 But in reality, this is the message that I care about. 21:39.000 --> 21:54.000 This is the message I want to give to our kids. This is the message that I'd love if we could get to college age kids before they take their HPV shot to stay on campus or something like that. 21:54.000 --> 22:01.000 Or actually there are quite a few universities that might make them take a COVID booster in order to be on campus. 22:01.000 --> 22:07.000 So I wanted to do a little recap here just to make sure to remind you number one. 22:07.000 --> 22:21.000 The last couple of days we did a couple Ralph Barrick videos where we showed that in 2007 it still seemed like he was trying to use coronavirus to kind of harness it as a biotechnology. 22:21.000 --> 22:41.000 And he saw it as a resource. He saw it as something that he could manipulate genetically so that he could control it. 22:41.000 --> 22:59.000 He could attenuate it and keep it attenuated. It could be a universal vaccine. He was looking at combinations of antibodies that could be universally prophylactic or universally neutralizing against these pathogens across lots of different subtypes. 23:00.000 --> 23:14.000 And he wasn't talking about it as a doomsday kind of problem. He was talking about it by a very tractable set of biological questions and a couple really firm ideas about how to tackle the problem. 23:14.000 --> 23:26.000 We could make fast, live attenuated vaccines using recombinant viruses that have their translation regulatory sequences altered. 23:26.000 --> 23:40.000 And we can also generate monoclonal antibodies from these recombinant viruses in vitro and then make those monoclonal antibodies and use them as prophylactic or as countermeasures. 23:41.000 --> 23:53.000 And so in 2007, all the way up to like 2016, he's pretty much talking about it as though it's not a big deal. And then around 2016, it starts to become this potential for pandemics. 23:54.000 --> 24:16.000 It starts to become this potential for catastrophe. And they start to have these discussions about the regulation of their work and almost protest too much about the regulation of their work and come up with pretty extreme examples of how in the worst case scenario, 24:17.000 --> 24:24.000 regulation of our work could end up making a catastrophe much worse than it should have been if you wouldn't regulate our work. 24:24.000 --> 24:30.000 And this went on through 2018 and right up into the start of the pandemic. So what I wanted to- 24:30.000 --> 24:32.000 What I want is high morbidity. 24:32.000 --> 24:45.000 As I point this out, one of the things that I wanted to remind you is that the second line here, the pre-narrative pre-coopted or pre-selected group of narrative controllers, 24:45.000 --> 24:52.000 I wanted you to do a thought experiment with me. And I found a TV show that I think will help us. Actually, I shouldn't say I found it. 24:52.000 --> 25:03.000 One of your fellow viewers and GigaOM fans found this TV show and thought it would be a very relevant thought experiment for us to do in order to think about how, 25:03.000 --> 25:13.000 with a pre-selected group of narrative controllers, you could make a bunch of people believe something very, very wrong for a very, very long time. 25:13.000 --> 25:21.000 So let's check this out. I think this is going to be a really instructive little thing. I'm probably not going to have to talk very much, so I'm going to enjoy my tea. 25:21.000 --> 25:32.000 I'm going to take some notes and every once in a while I might stop to say something. So if you have a particular question that you want answered and you don't mind typing it into the chat, 25:32.000 --> 25:36.000 maybe every once in a while I can stop and answer something if it's a good question. 25:36.000 --> 25:44.000 Then it becomes a round saying there's probably good questions I'll ignore, but we can do a little Q&A too as we watch this video. 25:46.000 --> 25:49.000 I think you're really going to enjoy it. 26:06.000 --> 26:09.000 There we go. 26:36.000 --> 26:47.000 Public health officials must race to solve the mystery to track the source of this deadly infection before it can kill again. 26:48.000 --> 26:56.000 All right, you see what I mean? This can be good. We're going to learn how public health was done before the pandemic. 27:07.000 --> 27:12.000 Some of the names in this program have been changed. 27:12.000 --> 27:16.000 December, 1979. 27:16.000 --> 27:20.000 A cross town bus in Madison, Wisconsin. 27:20.000 --> 27:27.000 A young woman by all appearances in perfect health. Until. 27:27.000 --> 27:31.000 Her collapse was sudden and terrifying. 27:31.000 --> 27:34.000 Unconscious, barely breathing. 27:34.000 --> 27:38.000 The young woman lay sprawled out in the aisle. 27:49.000 --> 27:54.000 Responding within minutes, paramedics rush to the scene. 28:05.000 --> 28:14.000 And what they found concerned them. 28:17.000 --> 28:25.000 The young woman had a high fever. Her pulse was weak and her blood pressure was dropping rapidly. 28:26.000 --> 28:33.000 Fortunately, the University of Wisconsin Medical Center was only moments away. 28:35.000 --> 28:40.000 By the time they reached the emergency room, she was going into shock. 28:44.000 --> 28:48.000 The ER staff would have to work fast. 28:48.000 --> 29:07.000 They had no clues to work with. 29:07.000 --> 29:14.000 Only a driver's license with her name, Emily Murray, and her age, just 18 years old. 29:14.000 --> 29:17.000 Because clues to her disease will be in her wallet. 29:19.000 --> 29:23.000 Meanwhile, her blood pressure was continuing to plummet. 29:23.000 --> 29:28.000 And an odd pink rash had appeared on her face and hands. 29:31.000 --> 29:39.000 As the ER team fought to stabilize her, throat and blood cultures as well as blood samples were sent off to the lab. 29:39.000 --> 29:43.000 The cultures would take 24 hours to grow. 29:43.000 --> 29:59.000 Emily was moved to the Intensive Care Unit, where she was placed on kidney dialysis and her vital signs could be closely monitored. 29:59.000 --> 30:07.000 She seemed to stabilize, and then her case took a strange turn. 30:08.000 --> 30:15.000 The mysterious rash became more pronounced. It now covered her entire body. 30:15.000 --> 30:19.000 Urologist Dr. Russell Chesney was called in. 30:19.000 --> 30:26.000 His first priority to bring her out of shock, to figure out what was going on. 30:26.000 --> 30:30.000 I knew that I had never seen anybody look quite like this. 30:30.000 --> 30:35.000 She had this rash, this sunburn rash, and it was spreading. 30:35.000 --> 30:48.000 It was something that was affecting all of her organs. She had bad lungs, she had shock, she had profound diarrhea, she had kidney failure. 30:48.000 --> 30:58.000 The sudden onset of Emily's symptoms and the bizarre red rash made Dr. Chesney suspect she had contracted a severe infection. 30:58.000 --> 31:04.000 There was no time to wait for lab results. He had to act immediately and aggressively. 31:04.000 --> 31:07.000 Do you know where you are? 31:07.000 --> 31:15.000 So we treated her with a very broad spectrum of antibiotics, kind of a shotgun approach, if you will. 31:15.000 --> 31:28.000 And we wanted to make sure that if this were an infection, that we were preventing it from spreading and that we were preventing the organisms from persisting. 31:28.000 --> 31:34.000 He's not thinking about transmission and thinking about her being sick from something that is interesting. 31:34.000 --> 31:39.000 Trying to find any possible clue to what had made her so sick. 31:42.000 --> 31:48.000 The parents really indicated that she hadn't been exposed to anything. There was nobody else in the family sick. 31:48.000 --> 31:57.000 She had some siblings and they were perfectly well. And the parents were perfectly well. Nobody was sick at school. 31:57.000 --> 32:00.000 And that's really intriguing. 32:00.000 --> 32:05.000 Examining Emily's chest x-rays, Dr. Chesney tried to understand what had happened. 32:05.000 --> 32:16.000 Her cardiac silhouette is not that full, it's narrow like we would see with shock. And she certainly doesn't have congestive heart failure or anything. There are no curly B lines. 32:16.000 --> 32:21.000 What he saw was perplexing. It didn't make any sense. 32:21.000 --> 32:27.000 The thing that was confusing to us and looking at her chest, it was clear she didn't have pneumonia. 32:27.000 --> 32:36.000 And she also didn't have a collapse of her lungs or anything like that. What she actually had was, she had hemorrhage from the lung. 32:36.000 --> 32:41.000 Emily's lungs were bleeding. It was hard for her to breathe. 32:41.000 --> 32:47.000 Dr. Chesney recognized this was a dangerous and potentially deadly complication. 32:47.000 --> 32:57.000 But Chesney had no idea what the cause was. The more he learned about her case, the more baffled he became. 32:57.000 --> 33:02.000 Her symptoms seemed random, disconnected. 33:02.000 --> 33:11.000 It was the nightmare of any parent. That morning their daughter had left the house a healthy teenager. 33:11.000 --> 33:14.000 Now she was hooked up to IV lines and monitors. 33:14.000 --> 33:17.000 Put her on a vent. Holy shit, yeah. 33:17.000 --> 33:21.000 Luckily, IV fluids and dialysis eventually began to help. 33:21.000 --> 33:24.000 I don't know why they're letting the parents see her and they're going to get sick. 33:24.000 --> 33:28.000 And their blood pressure started to rise to a safer level. 33:28.000 --> 33:37.000 And it stayed there for an hour or two and I felt comfortable in going home and trying to find out more about this. 33:38.000 --> 33:43.000 With the patient finally stable, Chesney could concentrate on the diagnosis. 33:43.000 --> 33:47.000 He sought a second opinion from his wife. 33:47.000 --> 33:55.000 Dr. Joan Chesney is the head of the infectious disease division at the University of Wisconsin School of Medicine. 33:55.000 --> 34:02.000 It would have been funny if they had went like, his wife is a competitive baker. 34:03.000 --> 34:13.000 The patient's high fever, diarrhea and dehydration were all classic symptoms of an infection. 34:13.000 --> 34:18.000 But she has a lot of other extra features that just don't make sense. 34:18.000 --> 34:23.000 Well, one of the things she has is a rash that is spreading like crazy. 34:23.000 --> 34:28.000 Total body rash, angry looking. I really can't figure what's going on. 34:29.000 --> 34:33.000 To Dr. Joan Chesney, the symptoms sounded familiar. 34:33.000 --> 34:35.000 I recommend cooking. 34:35.000 --> 34:38.000 Does she have bright red eyes? 34:38.000 --> 34:41.000 A red rash and red eyes. 34:41.000 --> 34:47.000 It reminded Joan of a journal article she had recently seen by a doctor in Colorado. 34:47.000 --> 34:57.000 The article outlined a new syndrome called toxic shock, characterized by shock, a rash and multi-organ disease. 34:57.000 --> 35:03.000 The illness was linked to a toxin produced by the bacteria staphylococcus aureus. 35:03.000 --> 35:07.000 The disease was named toxic shock syndrome. 35:07.000 --> 35:11.000 In extreme cases, it could be fatal. 35:11.000 --> 35:17.000 The next morning, Joan Chesney came in to examine Emily Murray. 35:17.000 --> 35:24.000 In her 11-year studying infectious diseases, she had never seen anything like it. 35:24.000 --> 35:31.000 Blood vessels became inflamed when the bacteria released its toxins, causing a rash that covered Emily's entire body. 35:31.000 --> 35:42.000 In the journal article, the staph aureus bacteria was described as infecting the patient's bodies through an open wound. 35:42.000 --> 35:49.000 But Emily did not have any cuts or wounds for the bacteria to infect, so where had it come from? 35:49.000 --> 36:00.000 My biggest question was, is this toxic shock syndrome, as he described it, but I was very skeptical about the staph aureus, particularly because she didn't have any infection site. 36:00.000 --> 36:08.000 Emily did have many of the same symptoms. She even developed small hemorrhages in her eyes. 36:08.000 --> 36:12.000 Chesney was determined to unravel this medical mystery. 36:12.000 --> 36:21.000 The other bacterial infections that can cause shock and multi-system disease, but they don't generally cause the rash or the red eyes. 36:21.000 --> 36:26.000 So it was one of those things that you just had a sixth sense that there was something not right about this. 36:26.000 --> 36:29.000 Yeah, it is a staphylococcus infection, but they don't know where it comes from. 36:29.000 --> 36:32.000 The description of toxic shock syndrome. 36:32.000 --> 36:34.000 But not completely. 36:34.000 --> 36:35.000 Oh. 36:36.000 --> 36:41.000 Joan Chesney wondered if they were seeing the birth of a new and terrifying disease. 36:41.000 --> 36:43.000 Oh, a new disease. 36:43.000 --> 36:50.000 You have to make yourself keep an open mind to the fact that it might be a new virus, it might be a new bacteria. 36:50.000 --> 36:58.000 We were wondering if it could have been some kind of chemical reaction that she maybe absorbed a chemical through her skin or take. 36:58.000 --> 37:06.000 Think about how different it is if they think she absorbed a chemical through her skin or it's the development of a new disease. 37:06.000 --> 37:11.000 One is potentially a Kim dot com billions of dead. 37:11.000 --> 37:21.000 And you should have been having PPE on and now you're an asymptomatic carrier that's going to kill everybody you come in contact with in the next two weeks or. 37:22.000 --> 37:35.000 Nobody's in danger and you're treating her completely incorrectly with a broad spectrum antibiotics that could actually make it worse. 37:35.000 --> 37:44.000 You see how weird that is that there's a those are very different things in a drug that nobody knew about. 37:45.000 --> 37:49.000 Then just hours later, a second case appeared. 37:49.000 --> 37:54.000 19 year old Kaylee Wilson was rushed to the University of Wisconsin Medical Center. 37:54.000 --> 37:57.000 Like Emily, she arrived in the ER. 37:57.000 --> 38:02.000 So now a second case will not be evidence for chemical exposure. 38:02.000 --> 38:07.000 Now a second case will be evidence for spreading pathogen, you see. 38:07.000 --> 38:12.000 And now what I want you to pay attention to it is the spread of bad ideas. 38:12.000 --> 38:17.000 It's not the spread of RNA that's happening here in this video. 38:17.000 --> 38:24.000 Are with a raging fever, extremely low blood pressure and a bizarre red rash. 38:24.000 --> 38:31.000 The ER staff pumped her with fluids desperately trying to raise her blood pressure. 38:32.000 --> 38:35.000 Something's going on at the University of Wisconsin doors. 38:35.000 --> 38:39.000 I want to tell a very bad joke about it but I can't. 38:39.000 --> 38:42.000 Joan Chesney was immediately notified. 38:42.000 --> 38:48.000 We see patients all the time who have very unusual presentations of some disease. 38:48.000 --> 38:54.000 But there's only one of them and we don't we often don't figure out what it is no matter how hard we try. 38:54.000 --> 38:59.000 But here we had two right, less than 24 hours apart. 38:59.000 --> 39:02.000 Those of whom were very sick. 39:02.000 --> 39:06.000 The similarity between the two cases still can't be. 39:06.000 --> 39:12.000 Joan's experience with infectious diseases told her this couldn't be a coincidence. 39:12.000 --> 39:19.000 She recommended supportive treatment, massive amounts of oxygen, and a broad spectrum of antibiotics. 39:19.000 --> 39:22.000 Ooh, cheese had poisoning as really dangerous in Wisconsin. 39:22.000 --> 39:25.000 Soon after Kaylee was admitted, Joan learned that a third- 39:25.000 --> 39:27.000 That only really happens in bald people. 39:27.000 --> 39:31.000 ...was being treated at a hospital just across town. 39:31.000 --> 39:34.000 This was no random event. 39:34.000 --> 39:39.000 1977 is widespread. 39:39.000 --> 39:41.000 Well, this happened in 1977. 39:41.000 --> 39:44.000 I think the video started on the 9th. 39:44.000 --> 39:48.000 To say my heart rate doubled would be an understatement. 39:48.000 --> 39:51.000 It was scary. 39:51.000 --> 39:57.000 Joan knew it was time to bring in the director of the Wisconsin Department of Health, Dr. Jeff Davis. 39:57.000 --> 39:58.000 Here we go. 39:58.000 --> 40:05.000 The fact that three cases were occurring in one community simultaneously certainly was of impact. 40:05.000 --> 40:09.000 We felt it was certainly unusual needed to be investigated right away. 40:09.000 --> 40:13.000 Boy, he sure looks like a public health official, doesn't he? Just my goodness. 40:13.000 --> 40:21.000 And he's going to call up the oaster home in the Gopher State next door within a few hours, I'm sure. 40:21.000 --> 40:30.000 As chief epidemiologist for the state of Wisconsin, it was Dr. Davis's job to make sense of this outbreak. 40:30.000 --> 40:34.000 To figure out how these three cases were related. 40:34.000 --> 40:42.000 Had the young women all been exposed to something in common, what was the source of the illness? 40:43.000 --> 40:50.000 Dr. Davis interviewed the three patients, asking about pets, allergies, dietary habits. 40:50.000 --> 40:57.000 Anything that might provide a link, a clue to the origin of this mysterious infection. 40:57.000 --> 40:59.000 We asked about a lot of activities. 40:59.000 --> 41:06.000 These were fairly far reaching, you know, where people shopped, you know, where they went, what their usual activities were. 41:07.000 --> 41:14.000 Davis then compared the interviews, looking for overlapping data, the one key point where the patient's lives intersected. 41:14.000 --> 41:18.000 What he found was absolutely nothing. 41:18.000 --> 41:20.000 Was absolutely nothing. 41:20.000 --> 41:27.000 And they were from basically the greater Madison area. They didn't have anything in common. 41:27.000 --> 41:35.000 The mystery was growing, and unless doctors and public health officials could identify the source of the toxic infection. 41:35.000 --> 41:40.000 More young women could be in danger. 41:40.000 --> 41:44.000 A strange outbreak, a mysterious infection. 41:44.000 --> 41:47.000 This is a commercial break returning from commercial break. 41:47.000 --> 41:52.000 In Madison, Wisconsin, young women were being rushed to the hospital. 41:52.000 --> 41:56.000 In each case, the symptoms were the same. 41:56.000 --> 42:04.000 High fever, dangerously low blood pressure, signs of shock, and a bizarre sunburn like rash. 42:05.000 --> 42:18.000 As doctors struggled to keep the women alive, health officials worked round the clock to find the cause. 42:18.000 --> 42:26.000 Wisconsin state epidemiologist Dr. Jeff Davis combed through the women's medical records, searching for clues. 42:26.000 --> 42:29.000 What did these patients have in common? 42:30.000 --> 42:35.000 The only thing they shared was that they were all young, and they were all women. 42:35.000 --> 42:42.000 It seemed like nothing. In fact, it was the beginning of an answer. 42:42.000 --> 42:47.000 So that's when I thought what differentiates women from men. 42:47.000 --> 42:52.000 And given their age, I thought that menstruation may be a factor. 42:52.000 --> 42:57.000 Unfortunately, the medical files had no record of menstrual cycles. 42:57.000 --> 43:01.000 Dr. Davis would have to revisit the patients. 43:01.000 --> 43:05.000 Emily Murray, the first, was in the best shape of the three. 43:05.000 --> 43:09.000 Her kidneys were failing, and she'd been put on dialysis. 43:09.000 --> 43:12.000 But she was at least lucid enough to talk. 43:12.000 --> 43:17.000 Yes. 43:17.000 --> 43:23.000 Regular, since that time. Normal, monthly periods. 43:23.000 --> 43:28.000 Over the next day, the other patients told him the same thing. 43:28.000 --> 43:33.000 They had both been menstruating when they got sick. 43:33.000 --> 43:38.000 At last, Davis had found something all the patients had in common. 43:38.000 --> 43:42.000 But what did it mean? Was it even significant? 43:42.000 --> 43:47.000 He shared his findings with infectious disease expert Dr. Joan Chesney. 43:47.000 --> 43:48.000 She was skeptical. 43:48.000 --> 43:53.000 My reaction was, well, Jeff, if you take any group of young women at one point in time, 43:53.000 --> 43:56.000 you know, significant number are going to be having their period. 43:56.000 --> 44:00.000 And he said, well, I know, but I just can't find anything else. 44:00.000 --> 44:06.000 But Davis's interviews uncovered another clue supporting his suspicions. 44:07.000 --> 44:14.000 One of the women had suffered similar but less severe symptoms a month before. 44:14.000 --> 44:20.000 The implications were frightening. 44:20.000 --> 44:24.000 Had the young women taken a pain reliever that was contaminated, 44:24.000 --> 44:29.000 a tainted batch of oral contraceptives. 44:29.000 --> 44:35.000 Davis and Chesney wondered if other doctors in the area were seeing the same strange illness. 44:35.000 --> 44:41.000 It was time to get the word out, to get as many brains working on the mystery as possible. 44:41.000 --> 44:46.000 We found a real sense of urgency to let other people know as quickly as possible 44:46.000 --> 44:54.000 and to see if people had seen it, not recognized it, to be sure we picked up any additional cases. 44:54.000 --> 44:59.000 Dr. Chesney presented her cases at a hospital conference on infectious disease. 44:59.000 --> 45:01.000 Thank you all for coming. 45:01.000 --> 45:07.000 We wanted to tell you about three patients that we've seen in the last two days. 45:07.000 --> 45:13.000 And we wanted to bring it to your attention so that if any of you saw a patient with this in the next few months 45:13.000 --> 45:18.000 or if you've seen a patient with this over the last six months, please let us know. 45:18.000 --> 45:22.000 I'm sure it's not just going on here in Madison, but it's probably- 45:22.000 --> 45:28.000 When she asked if anyone had seen patients with similar symptoms, a medical resident spoke up. 45:28.000 --> 45:31.000 Chesney, I saw a similar patient six months ago. 45:31.000 --> 45:35.000 He had treated a young woman in her teens a few months earlier. 45:35.000 --> 45:39.000 Dr. Chesney asked to look at the patient's records. 45:39.000 --> 45:41.000 We're all quite concerned about it right now. 45:41.000 --> 45:44.000 Thank you again for letting us come today. 45:44.000 --> 45:46.000 The bowl's just beginning. 45:46.000 --> 45:50.000 As she reviewed the file, Dr. Chesney saw all the telltale signs. 45:50.000 --> 45:55.000 Look, she was in shock at the time and she had a rash just like I told you earlier. 45:55.000 --> 45:57.000 In the red eyes you had mentioned to me. 45:57.000 --> 46:03.000 Um, evening is whether anybody recorded that she was having her period when all of this started. 46:03.000 --> 46:04.000 You find it? 46:04.000 --> 46:05.000 Here it is. 46:05.000 --> 46:09.000 They did document that she was having her period at the time of her symptoms. 46:09.000 --> 46:14.000 This was yet another documented case of the mysterious illness. 46:14.000 --> 46:19.000 Wisconsin was firmly in the grip of an outbreak. 46:19.000 --> 46:21.000 An outbreak. 46:21.000 --> 46:23.000 Wisconsin's having an outbreak. 46:23.000 --> 46:26.000 The teenager was being admitted to the Wisconsin medical center. 46:26.000 --> 46:27.000 All these teen girls. 46:27.000 --> 46:29.000 Like the other women when she arrived at the ER. 46:29.000 --> 46:31.000 She was disoriented and covered. 46:31.000 --> 46:36.000 How come these women aren't afraid of getting what these other women have? 46:36.000 --> 46:43.000 What if their menstruation cycles all sequence up and that is sync up and then they all get sick together? 46:43.000 --> 46:48.000 Have you heard there's another teenager in the emergency room with a few scratch and shock 46:48.000 --> 46:50.000 and they'd like you to come now please. 46:50.000 --> 46:51.000 Wow. 46:52.000 --> 46:53.000 Hi Allison. 46:53.000 --> 46:55.000 My name is Dr. Chesney. 46:55.000 --> 46:58.000 This new patient was also menstruating. 46:58.000 --> 47:00.000 They all wear new balance shoes. 47:00.000 --> 47:01.000 That's what it is. 47:01.000 --> 47:02.000 Oh my gosh. 47:02.000 --> 47:04.000 Those will kill you for sure. 47:04.000 --> 47:06.000 Dr. Chesney had been developing a theory about this. 47:06.000 --> 47:08.000 You want to see what I got for my birthday? 47:08.000 --> 47:12.000 Since the patients were all menstruating at the onset of illness, 47:12.000 --> 47:15.000 Chesney ordered a vaginal culture to test for bacteria. 47:15.000 --> 47:17.000 You know I like green. 47:17.000 --> 47:19.000 Check those bad boys out. 47:19.000 --> 47:20.000 Can you see them? 47:20.000 --> 47:21.000 Those are those green. 47:21.000 --> 47:24.000 The culture was incubated on a growth medium. 47:24.000 --> 47:25.000 Green Jordan 4s. 47:25.000 --> 47:26.000 They're pretty cool. 47:26.000 --> 47:27.000 24 hours later. 47:27.000 --> 47:31.000 It was placed in a reagent solution and identified as staphylococcus. 47:31.000 --> 47:32.000 You can't really see them. 47:32.000 --> 47:33.000 Sorry. 47:33.000 --> 47:35.000 The bacteria associated with toxic shocks. 47:35.000 --> 47:36.000 There we go. 47:36.000 --> 47:37.000 Staphylococcus. 47:37.000 --> 47:38.000 We got it. 47:38.000 --> 47:42.000 Joan Chesney's initial diagnosis had proven correct. 47:42.000 --> 47:43.000 Exactly. 47:43.000 --> 47:46.000 And sure enough it was what we call a pure culture. 47:46.000 --> 47:49.000 That was the only bacteria that grew and it was a heavy growth. 47:49.000 --> 47:56.000 So that was our first clue, hard clue that maybe our thoughts were going in the right direction. 47:56.000 --> 48:02.000 For Dr. Jeff Davis, the epidemiologist, it was time to place the entire state. 48:02.000 --> 48:04.000 Man I had Jordan 4s in high school. 48:04.000 --> 48:07.000 I actually had a 35. 48:07.000 --> 48:11.000 I actually had a friend in high school and we had black and white ones. 48:11.000 --> 48:12.000 Was it black? 48:12.000 --> 48:17.000 He had black and gray and I had the red and white and then we like each traded a shoe. 48:17.000 --> 48:18.000 It was dope. 48:19.000 --> 48:26.000 A hundred physicians that Wisconsin was facing an outbreak of the deadly toxic shock syndrome. 48:26.000 --> 48:31.000 He requested information and sample cultures from any patients who displayed symptoms. 48:31.000 --> 48:35.000 It was important to get this letter out because they needed to learn about the illness. 48:35.000 --> 48:38.000 They needed to learn what was occurring. 48:38.000 --> 48:42.000 We made recommendations for laboratory tests to obtain them so that expanded their ability 48:42.000 --> 48:45.000 to get the appropriate test. 48:45.000 --> 48:53.000 In a time before email, Davis's letter on toxic shock was distributed the old fashioned way by U.S. mail. 48:53.000 --> 48:57.000 But all across the state, physicians got the message. 48:57.000 --> 48:59.000 Watch out for unusual cases. 48:59.000 --> 49:08.000 It was really that very, very unique combination of symptoms and signs that we tried to let people know about 49:08.000 --> 49:13.000 and don't give them some penicillin and send them home because they won't be better in the morning. 49:13.000 --> 49:17.000 You need to get them to the hospital right away. 49:17.000 --> 49:20.000 The response was overwhelming. 49:20.000 --> 49:24.000 Hospital statewide reported cases of the deadly illness. 49:24.000 --> 49:27.000 Not just one or two, but hundreds of them. 49:27.000 --> 49:32.000 Young women all over Wisconsin were infected with toxic shock syndrome. 49:32.000 --> 49:36.000 And health officials had no idea why. 49:37.000 --> 49:44.000 In 1980, dozens of young Wisconsin women were coming down with the disease. 49:44.000 --> 49:48.000 This is like a return from menstrual toxic shock syndrome. 49:48.000 --> 49:50.000 From commercial. 49:50.000 --> 49:54.000 So what they're calling it now is menstrual toxic shock syndrome. 49:54.000 --> 50:00.000 Now, keep in mind how important it is that there's only like two people in this story 50:00.000 --> 50:02.000 who essentially are controlling the narrative. 50:02.000 --> 50:07.000 Everybody else is going to call that lady with the glasses and ask her for her advice 50:07.000 --> 50:11.000 about whether or not their case fits her description. 50:11.000 --> 50:17.000 Whether her case or whether their case fits into her category and what she's doing for it. 50:17.000 --> 50:22.000 So you see this pattern that happens very quickly already in this. 50:22.000 --> 50:26.000 It's a dramatization of what's something that supposedly happened in real life. 50:26.000 --> 50:37.000 What would happen if you had people in position already prepared to stay committed? 50:37.000 --> 50:46.000 What if you had that guy, the health director of all the state of Wisconsin ready to stay 50:46.000 --> 50:52.000 committed to a respiratory pathogen spreading that was specific for women for some reason 50:52.000 --> 50:55.000 and had an elaborate story to go along with it? 50:55.000 --> 50:59.000 How long could he have made that go on? 50:59.000 --> 51:04.000 If he would have even gotten that one doctor with the funny glasses, the lady, the wife 51:04.000 --> 51:08.000 of the guy who originally treated the first patient to go along with it. 51:08.000 --> 51:11.000 How long then would that go on? 51:11.000 --> 51:16.000 Now, if that lady had already been put in place at that hospital by previous assignment 51:16.000 --> 51:21.000 and already knew that this was going to happen and it was designed to be this way 51:21.000 --> 51:24.000 and that the worst case scenario was necessary to be accepted. 51:24.000 --> 51:27.000 How long could they make this go on? 51:27.000 --> 51:31.000 How long could they confuse other doctors in the state? 51:31.000 --> 51:37.000 Now, how long do you think it could go on if they had a test that wasn't specific for this? 51:37.000 --> 51:41.000 But they told everybody that when it tests positive and you don't have the symptoms, 51:41.000 --> 51:44.000 you're just an asymptomatic carrier. 51:44.000 --> 51:50.000 How long do you think this could spiral out of control if you had a collaboration of TV 51:50.000 --> 51:54.000 and social media? 51:54.000 --> 51:59.000 How long would this spiral on if you had control of the highest levels of governments 51:59.000 --> 52:04.000 around the world so that even across cultures and across languages, 52:04.000 --> 52:08.000 the messaging would be very similar about toxic shock syndrome? 52:08.000 --> 52:13.000 How long could you keep it going? 52:13.000 --> 52:18.000 Now, think about how long you keep it going if it was happening to both men and women, 52:18.000 --> 52:23.000 old and young, and they said they knew nothing about it 52:23.000 --> 52:27.000 and they kept insisting that they knew nothing about it 52:27.000 --> 52:31.000 and that you created a rumor in the background that this could be even worse 52:31.000 --> 52:39.000 than the most natural virus because it could be a man-made laboratory virus. 52:39.000 --> 52:45.000 That's why I'm showing you this dramatization of a real-life mystery that needed to be solved 52:45.000 --> 52:50.000 because those people were getting sick and one of the first assumptions they jumped to 52:50.000 --> 52:58.000 was a contagious new developing disease that they didn't need any protection from either masks or even gloves. 52:58.000 --> 53:02.000 It's extraordinary! 53:06.000 --> 53:09.000 The local doctors were baffled. 53:09.000 --> 53:12.000 More cases were hearing across the state. 53:12.000 --> 53:17.000 And then, several weeks into the outbreak, the Wisconsin Department of Health learned 53:17.000 --> 53:23.000 that three women in Minnesota had also been hospitalized with unusual symptoms. 53:23.000 --> 53:27.000 Epidemiologist Jeff Davis was baffled. 53:27.000 --> 53:30.000 Toxic shock syndrome is not contagious. 53:30.000 --> 53:31.000 How would it spread? 53:31.000 --> 53:34.000 Yeah, I've seen that dog game of werewolf. I really like that. 53:34.000 --> 53:35.000 I've got to cover that at some point. 53:35.000 --> 53:37.000 I think it's important to see the event. 53:37.000 --> 53:41.000 Because clearly this was going on in a couple of states. 53:41.000 --> 53:47.000 At the Centers for Disease Control in Atlanta, Dr. Bruce Dan was part of the investigation. 53:47.000 --> 53:52.000 To suddenly hear that women in Wisconsin and Minnesota were having the same symptoms, 53:52.000 --> 53:56.000 and not just the same symptoms, very strange collection of symptoms. 53:56.000 --> 54:00.000 You don't have to be a really trained epidemiologist to realize you had a real epidemic on your hands, 54:00.000 --> 54:03.000 and something very strange was going on. 54:03.000 --> 54:06.000 Oh, the chalkboard. 54:06.000 --> 54:08.000 Now they're going to solve the problem. 54:08.000 --> 54:12.000 It's a problem with the CDC's epidemiological intelligence service. 54:12.000 --> 54:16.000 I had a network, and this would be also a shock syndrome. 54:16.000 --> 54:20.000 You can subscribe and get on biological so I can afford to chalkboard it into this. 54:20.000 --> 54:22.000 If I had a chalkboard, this would be over. 54:22.000 --> 54:27.000 The investigators, the infectious disease experts who had seen years and years of disease, 54:27.000 --> 54:32.000 especially in medical centers and universities where they get referred lots of very unusual cases, 54:32.000 --> 54:37.000 who said, you know, we have never ever seen anything like this before. 54:37.000 --> 54:38.000 You guys are handling something. 54:38.000 --> 54:40.000 Oh, I would ask for chalk. 54:40.000 --> 54:44.000 Not only that, but I would ask for the chalk that the Japanese physicists like to have. 54:44.000 --> 54:54.000 There's a special kind of hard-pressed chalk that physicists and math professors like hoard and covet. 54:54.000 --> 54:58.000 And I would only use that chalk if you got me a chalkboard. 54:58.000 --> 55:00.000 Just to let you know, I wouldn't fool around. 55:00.000 --> 55:05.000 I mean, this would be Jurassic Park level chalkboard. 55:05.000 --> 55:08.000 You know, finest chalk, finest slate, the whole thing. 55:08.000 --> 55:13.000 Totally new, totally unrecognized as far as we're concerned. 55:13.000 --> 55:16.000 The CDC's investigative team rolled into action. 55:16.000 --> 55:18.000 Yeah, then you're not using the right chalk. 55:18.000 --> 55:19.000 You've got to have this. 55:19.000 --> 55:20.000 You've got to have this. 55:20.000 --> 55:21.000 We've got to have this. 55:21.000 --> 55:22.000 We've got to have this. 55:22.000 --> 55:24.000 Just to let the white chalkboard champs. 55:24.000 --> 55:25.000 For math professors. 55:25.000 --> 55:32.000 We needed to figure out whether this was a regional outbreak or a national outbreak. 55:32.000 --> 55:34.000 Oh, my gosh, a national outbreak. 55:34.000 --> 55:41.000 I wanted to put out the word and ask people had they seen this illness in other locations 55:41.000 --> 55:45.000 than Wisconsin and Minnesota. 55:45.000 --> 55:47.000 Only two things were served. 55:47.000 --> 55:48.000 I'm not. 55:48.000 --> 55:51.000 Toxic shock syndrome was dangerous and was spreading. 55:51.000 --> 55:53.000 I definitely need a chalkboard to solve this. 55:53.000 --> 55:59.000 On Sunday, February 8, 1980, Ronald and Jeanette Dulek were on their way to church. 55:59.000 --> 56:03.000 Geraldine, their 16-year-old daughter, was running late. 56:03.000 --> 56:08.000 Oh, no, another teenager getting struck by the toxic. 56:08.000 --> 56:13.000 Oh, she's out on the floor, yo, right in the laundry. 56:22.000 --> 56:25.000 At St. Mary's Hospital in Milwaukee. 56:25.000 --> 56:27.000 Oh, now it's in Milwaukee. 56:27.000 --> 56:29.000 These people will figure it out. 56:29.000 --> 56:31.000 Has Geraldine flickered in and out of consciousness? 56:31.000 --> 56:33.000 The ER staff charted her final thoughts. 56:33.000 --> 56:34.000 He's got a mustache. 56:34.000 --> 56:38.000 He's going to solve the problem from multiple high-risk symptoms. 56:38.000 --> 56:41.000 I always trust the doctor and the pilot with the mustache. 56:41.000 --> 56:44.000 And your temperature short to 106 degrees. 56:44.000 --> 56:49.000 Doctor struggled to make a diagnosis until the attending physician received... 56:49.000 --> 56:51.000 Oh, that's Mrs. Letter. 56:51.000 --> 56:52.000 She's going. 56:52.000 --> 56:53.000 She's getting infected. 56:53.000 --> 56:58.000 He recognized his patient's symptoms as a textbook case of the brand-new epidemic. 57:03.000 --> 57:06.000 Meeting with Geraldine's family, the doctor asked if she could... 57:06.000 --> 57:08.000 Fear the wind to force me if I grow a mustache. 57:08.000 --> 57:10.000 And it would also take me about six months, but... 57:10.000 --> 57:11.000 She had. 57:11.000 --> 57:12.000 I could probably grow one, but... 57:12.000 --> 57:14.000 Their answer wouldn't have confirmed his diagnosis. 57:14.000 --> 57:15.000 That's great. 57:15.000 --> 57:17.000 Toxic shock syndrome. 57:17.000 --> 57:22.000 He's got a nice contact with students in the Department of Health to get the latest information 57:22.000 --> 57:23.000 on treatment. 57:23.000 --> 57:26.000 We were talking like two weeks now, I think. 57:26.000 --> 57:27.000 The balance. 57:27.000 --> 57:28.000 Geraldine was given fluids to... 57:28.000 --> 57:29.000 They still don't know. 57:29.000 --> 57:31.000 ...and helped raise her blood pressure. 57:31.000 --> 57:33.000 She was also given... 57:33.000 --> 57:35.000 I have a 100% bare dollar. 57:35.000 --> 57:36.000 I have a 100% bare dollar. 57:36.000 --> 57:43.000 If Geraldine stood any chance of survival, treatment would have to take effect quickly. 57:43.000 --> 57:49.000 News of the 16-year-old's desperate condition reached Neil Rosenberg, 57:49.000 --> 57:50.000 a male walking... 57:50.000 --> 57:52.000 Wow, this has got a funny-shaped laptop. 57:52.000 --> 57:55.000 He was intrigued by the mysterious illness. 57:55.000 --> 58:01.000 When I first heard about Geraldine Dulac, it came not with a name, but fear in the voice 58:01.000 --> 58:02.000 of an anonymous caller. 58:02.000 --> 58:07.000 I was sitting at my desk, looking for a story as I usually do when the phone rang. 58:07.000 --> 58:09.000 And it was a caller from China. 58:09.000 --> 58:13.000 And she told me that there was a new virus breaking out in China, 58:13.000 --> 58:16.000 and the only thing that was working was Remdesivir. 58:17.000 --> 58:26.000 The person who said, the young woman, was seriously ridiculous. 58:26.000 --> 58:30.000 On the south side of Milwaukee, from a killer virus. 58:30.000 --> 58:37.000 Tracking the story, Rosenberg contacted Dr. Jeff Davis at the Wisconsin Department of Health. 58:37.000 --> 58:42.000 He learned the mysterious illness had a surprising connection. 58:43.000 --> 58:46.000 He gave me a graphic description of the symptoms. 58:46.000 --> 58:50.000 And at one point, I said, is there any common leak? 58:50.000 --> 58:52.000 He said, they were all menstruating. 58:52.000 --> 58:54.000 And that really threw me for a loop. 58:54.000 --> 58:56.000 And I said, well, what do you think that means? 58:56.000 --> 58:59.000 And he says, we really don't know, Neil. 58:59.000 --> 59:04.000 There's an airplane response there, right? 59:04.000 --> 59:10.000 It means that their uterine wall was shedding. 59:11.000 --> 59:13.000 There should be some biological death. 59:13.000 --> 59:16.000 What do you think that means? 59:16.000 --> 59:20.000 It's a big building with patients, but that's not important right now. 59:20.000 --> 59:21.000 I'm sorry. 59:21.000 --> 59:24.000 I love that movie. 59:24.000 --> 59:28.000 Rosenberg's story made front page news. 59:28.000 --> 59:34.000 For Jeff Davis and the Department of Health, it also opened a floodgate. 59:34.000 --> 59:38.000 That article had a lot of information about toxic shocks in Rome. 59:39.000 --> 59:42.000 And I started getting a lot of phone calls. 59:42.000 --> 59:43.000 He needs a mustache. 59:43.000 --> 59:45.000 He's sweating where he shouldn't be sweating. 59:45.000 --> 59:49.000 I think he's not happy about being on camera that funny guy. 59:49.000 --> 59:52.000 A huge number of phone calls. 59:52.000 --> 59:56.000 And so that article had an extraordinary impact. 59:56.000 --> 01:00:01.000 Hundreds of calls began pouring in. 01:00:01.000 --> 01:00:04.000 Physicians called to report suspected cases. 01:00:04.000 --> 01:00:07.000 What are you talking about six months previously? 01:00:07.000 --> 01:00:10.000 There was a U.N. war game covering weaponized tampons. 01:00:10.000 --> 01:00:12.000 What the hell are you talking about? 01:00:12.000 --> 01:00:14.000 That can't be possible. 01:00:14.000 --> 01:00:15.000 I think that must be a joke. 01:00:15.000 --> 01:00:17.000 He's a funny guy. 01:00:17.000 --> 01:00:25.000 Women call to share their stories of surviving about with the deadly syndrome. 01:00:25.000 --> 01:00:29.000 Astonished by the response, Davis launched a case deck today. 01:00:29.000 --> 01:00:32.000 Wow, those are complicated phones. 01:00:32.000 --> 01:00:36.000 Health officials work non-stop gathering information. 01:00:36.000 --> 01:00:41.000 They had to find the link between toxic shock syndrome and menstruation. 01:00:41.000 --> 01:00:47.000 Through scores of interviews, the team compared 35 confirmed cases of toxic shock 01:00:47.000 --> 01:00:50.000 to a larger control group of healthy women. 01:00:50.000 --> 01:00:54.000 All the women, healthy or infected, lived in the same area. 01:00:54.000 --> 01:00:59.000 They were all about the same age and shared similar lifestyles. 01:01:00.000 --> 01:01:08.000 I can confirm that looks like a Wisconsin girl to health. 01:01:08.000 --> 01:01:10.000 That looks like a Wisconsin host to me. 01:01:10.000 --> 01:01:11.000 With the participants. 01:01:11.000 --> 01:01:12.000 Wow. 01:01:12.000 --> 01:01:15.000 That's impressive. 01:01:15.000 --> 01:01:19.000 Some of the women described feeling unusually sick. 01:01:19.000 --> 01:01:22.000 I think I went to like high school with like 10 girls that looked like her. 01:01:22.000 --> 01:01:23.000 That's great. 01:01:23.000 --> 01:01:25.000 Every time they got their periods. 01:01:26.000 --> 01:01:33.000 But their symptoms had not escalated. 01:01:33.000 --> 01:01:36.000 Unlike Geraldine Dulek. 01:01:36.000 --> 01:01:43.000 Subdramal, predrome, syndromes, signs and symptoms that are, I can't do it, 01:01:43.000 --> 01:01:46.000 but that's what James Giordano would call that, right? 01:01:46.000 --> 01:01:51.000 Predrome, signs and symptoms before the main. 01:01:51.000 --> 01:01:55.000 At St. Mary's hospital, the teenager was getting worse. 01:01:55.000 --> 01:02:01.000 Her condition had been steadily deteriorating. 01:02:01.000 --> 01:02:07.000 Finally, after 20 days in the hospital, she slipped into an irreversible coma. 01:02:07.000 --> 01:02:08.000 Holy shit! 01:02:08.000 --> 01:02:14.000 And on February 28th, Geraldine Dulek died from catastrophic organ failure. 01:02:14.000 --> 01:02:17.000 I thought she was in good hands with the mustache 01:02:17.000 --> 01:02:22.000 and the holy catastrophic organ failure Batman. 01:02:22.000 --> 01:02:25.000 How is that happening? 01:02:25.000 --> 01:02:30.000 How is it possible that that's happening? 01:02:30.000 --> 01:02:39.000 It's happening because there is a consensus about an unknown. 01:02:39.000 --> 01:02:45.000 Please understand that these people are, well, what we're being shown is a 01:02:45.000 --> 01:02:51.000 reenactment of people making bad decisions based on bad assumptions. 01:02:51.000 --> 01:02:56.000 Not intentionally, just because that can happen. 01:02:56.000 --> 01:03:01.000 But now imagine, imagine if you orchestrated it. 01:03:01.000 --> 01:03:07.000 Just please try to imagine how powerful it would be if you orchestrated it with a few 01:03:07.000 --> 01:03:13.000 well-rehearsed, very authoritative leaders 01:03:13.000 --> 01:03:17.000 in very influential positions. 01:03:17.000 --> 01:03:22.000 Wisconsin had lost its first victim to toxic shock syndrome. 01:03:22.000 --> 01:03:25.000 She would not be the last. 01:03:25.000 --> 01:03:26.000 Wow. 01:03:26.000 --> 01:03:32.000 Until 1980, the American public had never heard of toxic shock syndrome. 01:03:32.000 --> 01:03:38.000 But now the rare bacterial infection was erupting in the Midwest. 01:03:38.000 --> 01:03:42.000 One teenager had already died in Wisconsin. 01:03:42.000 --> 01:03:46.000 Now, the disease showed up in Iowa. 01:03:46.000 --> 01:03:52.000 On May 16th, 36-year-old Chris Lekock was rushed to the hospital. 01:03:52.000 --> 01:03:57.000 Her liver and kidneys were failing. 01:03:57.000 --> 01:04:03.000 The emergency room team worked hard to stabilize their patient. 01:04:03.000 --> 01:04:07.000 Hard lungs and arm muscles. 01:04:07.000 --> 01:04:11.000 They call you in the hospital's infectious disease. 01:04:11.000 --> 01:04:15.000 That's an ER doctor with a prosthetic arm. 01:04:15.000 --> 01:04:16.000 That's dope. 01:04:16.000 --> 01:04:18.000 Expert. Dr. Charles Helms. 01:04:18.000 --> 01:04:20.000 Could also be an android, I guess. 01:04:20.000 --> 01:04:25.000 But I think it's probably a doctor with a prosthetic arm. 01:04:25.000 --> 01:04:31.000 I get a call from Dr. Hingway, who was the resident on call in the intensive care unit, 01:04:31.000 --> 01:04:36.000 the medical intensive care unit, about a case that was really had him worried and concerned 01:04:36.000 --> 01:04:40.000 and wondered that infectious disease consults. 01:04:40.000 --> 01:04:43.000 Dr. Helms had never seen anything like it. 01:04:43.000 --> 01:04:49.000 It was as if the patient's entire body was shutting down, one organ after another. 01:04:49.000 --> 01:04:56.000 It's unusual to see a young, healthy person as she was. 01:04:56.000 --> 01:05:03.000 Come in so desperately ill, particularly with so many systems of her body involved. 01:05:03.000 --> 01:05:08.000 As her condition got worse, Chris was moved to the intensive care unit, 01:05:08.000 --> 01:05:10.000 where she could be monitored. 01:05:10.000 --> 01:05:14.000 In addition to her liver and kidneys, her lungs were failing. 01:05:14.000 --> 01:05:22.000 Perhaps of most concern to us here, her respiratory status, her ability to breathe and oxygenate her blood was... 01:05:22.000 --> 01:05:31.000 Now it's interesting, I think to note that a lot of these, the toxic shock syndrome is basically like a cytokine storm. 01:05:31.000 --> 01:05:38.000 I think that in current immunological lingo, this would be called a cytokine storm, 01:05:38.000 --> 01:05:42.000 and this multiple organ failure would be a result of a cytokine storm. 01:05:42.000 --> 01:05:44.000 That's my guess. 01:05:44.000 --> 01:05:47.000 Do you even argue with me in the chat if you want? 01:05:47.000 --> 01:05:50.000 In dire straits. 01:05:50.000 --> 01:05:53.000 Doctors rushed to intubate the patient. 01:05:56.000 --> 01:05:58.000 They put her on a respirator. 01:06:02.000 --> 01:06:04.000 Her blood pressure was crashing. 01:06:07.000 --> 01:06:09.000 Her organs weren't functioning. 01:06:09.000 --> 01:06:11.000 They were losing her. 01:06:13.000 --> 01:06:21.000 Their only hope of keeping Chris alive was to raise her blood pressure, to get blood to her vital organs. 01:06:23.000 --> 01:06:30.000 Despite the CDC's efforts, not all doctors were aware that a strange infection was on the move. 01:06:31.000 --> 01:06:41.000 If it was a bacterial infection, that she was on a sufficiently broad range of antibiotics to protect her while we figured out what was going on with her. 01:06:41.000 --> 01:06:46.000 Chris Lekock was placed on life support in the ICU. 01:06:46.000 --> 01:06:50.000 Her family sat by her side as she slipped into a coma. 01:06:50.000 --> 01:06:58.000 So one of the things you should realize that happened during the pandemic is that people were told that antibiotics don't work on viruses. 01:06:58.000 --> 01:07:03.000 And in this case, even though they're not absolutely sure what's going on, 01:07:03.000 --> 01:07:07.000 I think they generally speaking because of the presence of this one protein, 01:07:07.000 --> 01:07:10.000 I've decided that it's an indication of bacterial infection. 01:07:10.000 --> 01:07:15.000 So they're putting these people on a broad spectrum antibiotic set. 01:07:15.000 --> 01:07:24.000 But a broad spectrum antibiotic set for the unknown disease COVID was absolutely positively off the table. 01:07:25.000 --> 01:07:34.000 And you have to see how devastating that was for outcomes and especially because it was a controlled narrative. 01:07:34.000 --> 01:07:39.000 People were there and they said it over and over again. 01:07:39.000 --> 01:07:46.000 They went on social media and said people shouldn't be overusing antibiotics on a viral syndrome. 01:07:46.000 --> 01:07:51.000 Remember that because that was 2020 and 2021. 01:07:52.000 --> 01:07:54.000 But Chris was not alone. 01:07:54.000 --> 01:07:59.000 Toxic shock was now a national problem. 01:07:59.000 --> 01:08:02.000 At the CDC, the calls were streaming in. 01:08:02.000 --> 01:08:06.000 Hundreds of girls were sick and some were dying. 01:08:06.000 --> 01:08:11.000 Epidemiologist Bruce Dan tracked the outbreak. 01:08:11.000 --> 01:08:15.000 It was happening nationally and it doesn't state all over the country. 01:08:15.000 --> 01:08:19.000 Suddenly, young, previously healthy women who were going about their life, 01:08:19.000 --> 01:08:25.000 in high school, going to college, going to work, raising kids, selling, get ill, as if they had the flu. 01:08:25.000 --> 01:08:30.000 And some of them would be dead in the next 12 or 24 hours from a totally unknown cause. 01:08:30.000 --> 01:08:32.000 That's frightening. 01:08:32.000 --> 01:08:38.000 The CDC task force kept running totals of confirmed toxic shock cases. 01:08:38.000 --> 01:08:41.000 Reports were coming in from all over the country. 01:08:41.000 --> 01:08:45.000 Nationwide, the death toll had risen to seven. 01:08:45.000 --> 01:08:51.000 As the numbers kept pouring in, we got more and more calls saying we've seen another case and another case and another case. 01:08:51.000 --> 01:08:54.000 There's a lot of pressure to say we have to solve this very quickly. 01:08:54.000 --> 01:08:59.000 Find the answer to stop this epidemic and save a lot of lives. 01:08:59.000 --> 01:09:09.000 The CDC put together an MMWR, a mortality and morbidity weekly report on toxic shock syndrome. 01:09:09.000 --> 01:09:14.000 It wasn't alert to physicians at hospitals all across the country. 01:09:14.000 --> 01:09:23.000 The MMWR would help doctors make an early diagnosis of toxic shock patients. 01:09:23.000 --> 01:09:29.000 It's basically the CDC's mechanism for getting information out to doctors, nurses, health officials across the country. 01:09:29.000 --> 01:09:34.000 It's also mechanism for getting information back in. 01:09:34.000 --> 01:09:39.000 The CDC's report arrived at the Iowa hospital just in time. 01:09:43.000 --> 01:09:48.000 Dr. Helms recognized Chris Lekock's symptoms immediately. 01:09:51.000 --> 01:09:54.000 It was textbook toxic shock syndrome. 01:09:54.000 --> 01:09:58.000 Dr. Helms followed the CDC's recommendations. 01:09:58.000 --> 01:10:02.000 Massive amounts of fluids and antibiotics to fight infection. 01:10:02.000 --> 01:10:05.000 Massive amounts of fluids and antibiotics. 01:10:05.000 --> 01:10:08.000 The CDC could only watch and wait. 01:10:11.000 --> 01:10:15.000 Back at the CDC, the numbers continue to rise. 01:10:17.000 --> 01:10:22.000 107 cases had now surfaced in 33 separate states. 01:10:22.000 --> 01:10:26.000 Clearly, this was the beginning of a nationwide epidemic. 01:10:26.000 --> 01:10:28.000 But what was causing it? 01:10:28.000 --> 01:10:39.000 Your first hunch, if you want to play hunches, is probably maybe these are women who got a bad batch of some medication that women commonly take during their menstrual period for aches and pains and so forth. 01:10:39.000 --> 01:10:43.000 But you can't play your hunches when you're dealing with something like this. You have to do a real study. 01:10:43.000 --> 01:10:50.000 And so the CDC launched a nationwide hunt to discover the cause of toxic shock. 01:10:50.000 --> 01:10:55.000 You've got the names of 50 women from their medical records in hospitals across the United States. 01:10:55.000 --> 01:10:59.000 How do you find them? How do you call them? Where are they now? 01:10:59.000 --> 01:11:03.000 For each patient, they needed to interview three control subjects. 01:11:03.000 --> 01:11:13.000 They had to develop a way of tracking and tracing 50 women across the United States to track down what was happening with toxic shock syndrome. 01:11:13.000 --> 01:11:17.000 They needed phone books and piles of phone records. 01:11:17.000 --> 01:11:21.000 They asked each of the patients for the names of three friends. 01:11:21.000 --> 01:11:25.000 They asked the patients for the names of three friends. 01:11:25.000 --> 01:11:32.000 So it's not just a matter of making 200 phone calls, but maybe 400, 800,000 phone calls to get hold of all these people. 01:11:32.000 --> 01:11:36.000 It took a huge amount of work and I'm very short time to do it. 01:11:36.000 --> 01:11:42.000 With the days passing and more women falling ill, health officials raised to get to the bottom of the mystery. 01:11:42.000 --> 01:11:52.000 So we devised a questionnaire about 125, 150 questions asking everything we can think about about their current health status, medications they may be taking. 01:11:52.000 --> 01:11:56.000 Certainly everything we can think about their menstrual period, do you wear pads or tampons? 01:11:56.000 --> 01:12:00.000 Do you exercise during your period? Do you jog? Do you take showers? Do you take baths? 01:12:00.000 --> 01:12:04.000 What do you do unusual or not do unusual during your period? 01:12:04.000 --> 01:12:08.000 To get an idea of what would make the cases different than the controls? 01:12:08.000 --> 01:12:14.000 Why did the one group of young women get toxic shock syndrome and get violently ill and other women were totally healthy? 01:12:14.000 --> 01:12:24.000 It was clear to us that if you asked enough questions you would probably find out why women with toxic shock syndrome were different than other women. 01:12:24.000 --> 01:12:28.000 Turns out the answer surprised us. 01:12:28.000 --> 01:12:36.000 After weeks of medical detective work, the CDC investigators had found the common link. 01:12:36.000 --> 01:12:41.000 There was one thing that set the women with toxic shock apart. 01:12:41.000 --> 01:12:44.000 100% of them used tampons. 01:12:44.000 --> 01:12:49.000 What could it be about tampons that would cause this severe disease and cause women to die? 01:12:49.000 --> 01:12:51.000 Somebody had it right in the chat in the beginning. 01:12:51.000 --> 01:12:56.000 The solution to one mystery was the beginning of the next. 01:12:56.000 --> 01:13:20.000 CDC investigators presented their startling findings to every tampon manufacturer in the country. 01:13:20.000 --> 01:13:25.000 We invited the tampon manufacturers to come to Atlanta to CDC to discuss with us. 01:13:25.000 --> 01:13:28.000 They called the tampon manufacturer. 01:13:28.000 --> 01:13:34.000 Come and tell us what you guys know about this possibility and I'm sure you guys will be honest with us. 01:13:34.000 --> 01:13:38.000 First of all, to tell them what the results are or study with so they would be aware. 01:13:38.000 --> 01:13:41.000 And secondly, to find out from them, tell us about tampons. 01:13:41.000 --> 01:13:44.000 How are they made? Where are they made? What are they made of? 01:13:44.000 --> 01:13:49.000 The executives agreed to provide the CDC with the information. 01:13:49.000 --> 01:13:52.000 But on one point, they were unequivocal. 01:13:52.000 --> 01:13:57.000 They had no intention of taking their products off the market. 01:13:57.000 --> 01:14:01.000 They believed the scientific proof was lacking. 01:14:01.000 --> 01:14:10.000 Still, CDC investigator Katherine Shans felt the evidence linking tampons to toxic shock was clear enough. 01:14:10.000 --> 01:14:15.000 The disease needed two things to occur. 01:14:15.000 --> 01:14:22.000 One was the presence of staph aureus and actually an infection with staph aureus. 01:14:22.000 --> 01:14:26.000 The other was the use of tampons. 01:14:26.000 --> 01:14:30.000 And so the CDC went public with their findings. 01:14:30.000 --> 01:14:34.000 They needed to warn women about the potential threat. 01:14:35.000 --> 01:14:38.000 But the mystery was far from solved. 01:14:38.000 --> 01:14:42.000 Dozens of questions still lingered. 01:14:42.000 --> 01:14:49.000 Investigators needed to conduct a second study to determine why tampons were making women sick. 01:14:49.000 --> 01:14:52.000 What caused the infection? 01:14:52.000 --> 01:14:55.000 Had specific brands become contaminated. 01:14:55.000 --> 01:15:01.000 So we collected tampons to test them in the laboratory to see if any particular tampon, any brand, any style 01:15:01.000 --> 01:15:05.000 from any kind of manufacturing location might be contaminated. 01:15:05.000 --> 01:15:11.000 And though we looked at hundreds and thousands of tampons, you know, hundreds and thousands of hours of laboratory town to look for that, 01:15:11.000 --> 01:15:18.000 we couldn't find any particular tampon that were contaminated with anything that would cause a disease. 01:15:18.000 --> 01:15:22.000 The story of the outbreak made national headlines. 01:15:22.000 --> 01:15:28.000 All over America, women were confused and terrified. 01:15:28.000 --> 01:15:31.000 This was also under sort of a national spotlight. 01:15:31.000 --> 01:15:38.000 And suddenly, not only do you have the spotlight on you from just your local colleagues, but the Director of CDC, the Surgeon General, 01:15:38.000 --> 01:15:44.000 the Department of Health and Human Services Secretary, and even the Presidential Office is looking very quickly at you to say, 01:15:44.000 --> 01:15:47.000 hey, this is a real problem. Are you guys going to solve it? 01:15:47.000 --> 01:15:52.000 Throughout the summer and fall, the epidemic raged on. 01:15:52.000 --> 01:15:55.000 And panic began to set in. 01:15:55.000 --> 01:16:03.000 As more and more women found themselves in a battle with a mysterious disease, fighting for their lives. 01:16:03.000 --> 01:16:09.000 All across America, women were dying and helped. 01:16:09.000 --> 01:16:11.000 Return from commercial break. 01:16:11.000 --> 01:16:17.000 As scientists raced to find answers, more patients were being rushed to the hospital. 01:16:17.000 --> 01:16:27.000 Patients like 25-year-old Pat Kemp, the mother of two small children, she had early flu-like symptoms. 01:16:27.000 --> 01:16:34.000 Now, she was in the ER, and her husband was worried. 01:16:34.000 --> 01:16:40.000 Every 15 or 20 minutes I was allowed to enter into the emergency room. 01:16:40.000 --> 01:16:43.000 Sorry for the recaps after commercials. 01:16:43.000 --> 01:16:48.000 You're supposed to be asking questions and not making funny comments, and then I could have something to talk about, 01:16:48.000 --> 01:16:51.000 but the funny comments are just making me laugh. 01:16:51.000 --> 01:16:52.000 But I can squeeze it back. 01:16:52.000 --> 01:16:57.000 As Pat's condition deteriorated, Mike grew more concerned. 01:16:57.000 --> 01:17:04.000 To think that just a few days prior, she was the young, healthy mother of my children, and we were enjoying life 01:17:04.000 --> 01:17:17.000 and making plans for our future to see her in a hospital setting, looking totally unlike her normal self and fighting to take every breath. 01:17:17.000 --> 01:17:25.000 The medical community was now on high alert for patients who showed signs of toxic shock syndrome. 01:17:25.000 --> 01:17:30.000 And Pat Kemp was a classic case. 01:17:30.000 --> 01:17:38.000 Admitted to the ICU, Pat was treated with antibiotics to fight the infection, but her situation was grave, 01:17:38.000 --> 01:17:43.000 and Mike could see she had taken a turn for the worse. 01:17:43.000 --> 01:17:51.000 It was so alarmed at how her coloring had changed, and later I understood that that was because her blood vessels were bursting under her skin, 01:17:51.000 --> 01:17:55.000 due to the toxins and the poison in her body. 01:17:55.000 --> 01:17:59.000 And I said, well, doctor, what's the worst thing I can expect? 01:17:59.000 --> 01:18:03.000 And he said, Mike, that's a good question to ask. 01:18:03.000 --> 01:18:10.000 You know, my fear was, would she have lung damage or brain damage or some other organ that could be damaged by all this? 01:18:10.000 --> 01:18:16.000 And he said, you know, that's a fair question, but our fight right now is just to try to keep her alive. 01:18:16.000 --> 01:18:21.000 And at that point, it dawned on me just how critical she was. 01:18:22.000 --> 01:18:30.000 Even as Pat Kemp lay on that hospital bed, the CDC was working around the clock to pinpoint the source of her infection. 01:18:30.000 --> 01:18:34.000 Was it a style of tampon, one specific brand? 01:18:34.000 --> 01:18:38.000 That's when investigators had a breakthrough. 01:18:38.000 --> 01:18:45.000 In this particular study, one particular brand of tampon accounted for about two-thirds of all the cases. 01:18:45.000 --> 01:18:50.000 And it was a brand of tampons and only about a fifth of women in the United States were using. 01:18:50.000 --> 01:18:54.000 So something was hardly risky about this tampon. 01:18:54.000 --> 01:19:00.000 The brand was a relatively new product that had been aggressively marketed as a super-absorbent tampon. 01:19:00.000 --> 01:19:02.000 Hey, somebody got that one. 01:19:02.000 --> 01:19:06.000 Millions of dollars per month. Nice! Well done, guys. 01:19:06.000 --> 01:19:14.000 They told us that they had made changes in the composition of tampons over the last several years. 01:19:14.000 --> 01:19:21.000 Prior to 1975, all tampons had been made of cotton and rayon. 01:19:21.000 --> 01:19:32.000 And they had begun introducing high absorbency chemical materials into tampons to, obviously, to increase the absorbency. 01:19:32.000 --> 01:19:38.000 The FDA acted swiftly and pulled the brand from the shelves. 01:19:38.000 --> 01:19:43.000 When they did that, the number of cases of toxic shock syndrome dropped off dramatically. 01:19:43.000 --> 01:19:53.000 And not surprisingly, if tampon is responsible for two-thirds of the cases, removing that tampon from the market, as quickly as you can, reduce the number of cases. 01:19:53.000 --> 01:19:55.000 The CDC got the word out. 01:19:55.000 --> 01:19:58.000 Tampons were directly linked to toxic shock syndrome. 01:19:58.000 --> 01:20:09.000 Man, I flew from the Philippines and back when I was a kid, and I can still remember clear as day that that entire frickin' airplane was full of smoking. 01:20:09.000 --> 01:20:15.000 And there were still, you know, ashtrays, and my mom smoked. I can remember it, wow. 01:20:15.000 --> 01:20:19.000 But for Pat Kemp, it was already too late. 01:20:19.000 --> 01:20:26.000 Despite the doctor's rapid diagnosis, she lay in a coma, unable to breathe on her own. 01:20:26.000 --> 01:20:29.000 And I would spend the evening with her at the hospital. 01:20:29.000 --> 01:20:31.000 She squeezed my hand. 01:20:31.000 --> 01:20:37.000 My one question is, once they develop this toxic shock syndrome, are they just kind of lost? 01:20:37.000 --> 01:20:43.000 Are these people also still menstruating and using a tampon incorrectly? 01:20:43.000 --> 01:20:45.000 And that's why they cascade out of control. 01:20:45.000 --> 01:20:53.000 Or once they get into this scenario, are they, they kind of, it's a crapshoot, whether they can be pulled out of the nose dive? 01:20:53.000 --> 01:20:55.000 That's the only part I don't understand here. 01:20:55.000 --> 01:20:57.000 Tears are rolling out. 01:20:57.000 --> 01:21:01.000 This can be rough, I see it in those tears where we're at. 01:21:01.000 --> 01:21:05.000 Because of the blood vessels bursting in her eyes and so on. 01:21:09.000 --> 01:21:13.000 On September 6th, 1980, Pat Kemp lost her bat. 01:21:13.000 --> 01:21:15.000 No randomized control. 01:21:15.000 --> 01:21:17.000 No trials, no none. 01:21:17.000 --> 01:21:19.000 Another victim of this terrible shock. 01:21:19.000 --> 01:21:21.000 Oh wow, she died too, crazy. 01:21:21.000 --> 01:21:25.000 But the story wasn't over. 01:21:25.000 --> 01:21:29.000 Although one brand of tampons had been pulled from the shelves. 01:21:29.000 --> 01:21:33.000 More cases of the infection turned out really still around the country. 01:21:33.000 --> 01:21:37.000 Women were getting sick while using other brands. 01:21:37.000 --> 01:21:39.000 And no one knew exactly why. 01:21:39.000 --> 01:21:43.000 Absorbency levels seemed to be a factor. 01:21:43.000 --> 01:21:47.000 As well as how long they remained inside the body. 01:21:48.000 --> 01:21:57.000 To alert the public, the FDA required tampon manufacturers to include information in their packaging about toxic shock syndrome. 01:21:57.000 --> 01:21:59.000 And how to avoid it. 01:21:59.000 --> 01:22:04.000 In Iowa, Chris Lekock spent weeks lying near death. 01:22:04.000 --> 01:22:08.000 Finally, the aggressive antibiotic therapy kicked in. 01:22:08.000 --> 01:22:12.000 Her body fought off the staph aureus bacteria. 01:22:13.000 --> 01:22:20.000 Chris's doctor, Richard Helms, credits the research of the CDC for saving her life. 01:22:20.000 --> 01:22:31.000 Chris was fortunate that she came in to a hospital in this country at that particular point in the evolution of American medicine. 01:22:31.000 --> 01:22:33.000 Where we had a syndrome. 01:22:33.000 --> 01:22:35.000 Where we had an approach to that syndrome. 01:22:35.000 --> 01:22:40.000 And that syndrome included treatment of staphylococcus aureus. 01:22:40.000 --> 01:22:48.000 Nearly a month after she was admitted, Chris Lekock was released from the hospital. 01:22:48.000 --> 01:22:55.000 Today, she's still thankful for Dr. Helms' quick thinking. 01:22:55.000 --> 01:22:57.000 They saved my life. 01:22:57.000 --> 01:22:58.000 There's no doubt about it. 01:22:58.000 --> 01:23:00.000 They saved my life. 01:23:00.000 --> 01:23:02.000 They were on top of it. 01:23:02.000 --> 01:23:05.000 They had to try a lot of different things. 01:23:05.000 --> 01:23:10.000 You have to realize that my kidneys failed. 01:23:10.000 --> 01:23:13.000 I went into congestive heart failure. 01:23:13.000 --> 01:23:20.000 I was being kept alive by life support. 01:23:20.000 --> 01:23:25.000 And they kept me alive. 01:23:25.000 --> 01:23:30.000 And I'm very, very grateful to them. 01:23:30.000 --> 01:23:34.000 They spent the one unfortunate year, hunt evidence. 01:23:34.000 --> 01:23:41.000 But women like Chris, in the following years, simply worked too well. 01:23:41.000 --> 01:23:45.000 They became tiny incubators for disease. 01:23:45.000 --> 01:23:51.000 The perfect growth medium for the staph aureus bacteria. 01:23:51.000 --> 01:23:56.000 Manufacturers went back to old-fashioned cotton and rayon. 01:23:56.000 --> 01:23:59.000 And health officials got out the morning. 01:23:59.000 --> 01:24:02.000 The need to change tampons regularly. 01:24:02.000 --> 01:24:05.000 And watch for flu-like symptoms. 01:24:05.000 --> 01:24:11.000 The outbreak taught larger lessons as well. 01:24:11.000 --> 01:24:19.000 I think one of the lessons of toxic shock syndrome is that, just as much as we've learned about bioterrorism and anthrax lately, is that you need to have... 01:24:19.000 --> 01:24:21.000 What did he say? 01:24:21.000 --> 01:24:27.000 As much as we've learned about bioterrorism and anthrax lately? 01:24:27.000 --> 01:24:29.000 This was from the 90s, right? 01:24:29.000 --> 01:24:34.000 Remember, we could look up exactly when this show was. 01:24:34.000 --> 01:24:51.000 I think one of the lessons of toxic shock syndrome is that, just as much as we've learned about bioterrorism and anthrax lately, is that you need to have a group of highly trained professionals who at a moment's notice can look into solve and fix an epidemic. 01:24:51.000 --> 01:24:56.000 One of the things about epidemics is you never know where they're going to happen or where they're going to come from. 01:24:56.000 --> 01:25:00.000 No, the story is from the 90s. 01:25:00.000 --> 01:25:04.000 The TV shows from the 90s, I think, and they're talking about the 70s. 01:25:04.000 --> 01:25:09.000 You're right about it being later or earlier, but they're doing a reenactment of it now. 01:25:09.000 --> 01:25:11.000 And this, I think, this show, I can look. 01:25:11.000 --> 01:25:12.000 Let me see. 01:25:12.000 --> 01:25:16.000 Maybe it'll be on the... 01:25:16.000 --> 01:25:25.000 No, it doesn't say it here. 01:25:25.000 --> 01:25:32.000 But I don't think that I think this was really, like, you know, in the 90s and then they were reenactment. 01:25:32.000 --> 01:25:35.000 He is early detection and swift reaction. 01:25:35.000 --> 01:25:37.000 Mike Kim and his wife, Sister Carol. 01:25:37.000 --> 01:25:39.000 You've got to watch out for that. 01:25:39.000 --> 01:25:40.000 You've got to watch out for that. 01:25:41.000 --> 01:25:44.000 Myself and my daughters and our family. 01:25:44.000 --> 01:26:07.000 Our goal today is for the next generation of young women who are using feminine hygiene products today to please read the warning labels that are on the boxes of these products or inside on pamphlets and have an awareness that if you have any flu-like symptoms, you could be endangering your life and to remove the product and seek medical attention immediately. 01:26:08.000 --> 01:26:16.000 That simple warning came 30 or 45 days too late to save my wife's life. 01:26:16.000 --> 01:26:27.000 Today, nearly 20 years after the first outbreak, the numbers of syndrome cases caused by tampons have declined sharply, but they have not disappeared. 01:26:27.000 --> 01:26:33.000 Hundreds of incidents are still reported each year. 01:26:33.000 --> 01:26:40.000 Thanks to new diagnostic tools and early detection, many of those lives can now be saved. 01:26:51.000 --> 01:26:53.000 That was fun. 01:26:53.000 --> 01:26:55.000 Just for a quick close out here. 01:26:55.000 --> 01:27:02.000 Don't forget that we're really trying to interrogate the infectious cycle. 01:27:02.000 --> 01:27:13.000 And I believe that right now we are being sort of bamboozled by an illusion of consensus being created by a bunch of people that are in place. 01:27:13.000 --> 01:27:31.000 They're on purpose to make sure that we don't figure out the kinds of molecular biological tricks that could be used in order to seed the narrative of a pandemic to make sure that this pandemic potential is believed to have actually occurred so that they never have to say it again. 01:27:31.000 --> 01:27:34.000 They can just sound the alarm and then things are going to happen again. 01:27:34.000 --> 01:27:42.000 I want to remind you that it is actually Robert Malone himself who told us this idea that these produces viruses. 01:27:42.000 --> 01:27:49.000 In most cases, a large fraction, if not the majority of the virus particles that are produced are defective. 01:27:49.000 --> 01:27:53.000 Then I get for anything and I'm infectious. They just kind of float around. 01:27:53.000 --> 01:27:58.000 And among other things, they interact with the immune system as does the live virus. 01:27:59.000 --> 01:28:10.000 So we need to do the homework necessary to figure out why it is that the vast majority of particles in a coronavirus infection are non infectious and we are doing that work right now. 01:28:10.000 --> 01:28:25.000 And more importantly, we're trying to put together a history of clones so that we can see how long these people have been so happy about being able to use clones to bridge this gap between things that we don't have infectious material to study. 01:28:25.000 --> 01:28:29.000 Things that we can't culture and things that we can study. 01:28:29.000 --> 01:28:48.000 And this is a review from 1994 and here they're already seeing the possibility of obtaining infectious clones and corresponding to the genomes of RNA viruses has greatly enhanced the potential investigations and that you can substitute things. 01:28:48.000 --> 01:28:56.000 And they facilitate studies of viruses that are present only in low titers and infected cells or whose isolation is problematic. 01:28:56.000 --> 01:29:09.000 And so we can go on and look at an article by Allison Tortura and Cina Bavari Allison Tortura being the last postdoc of Ralph Barrack before the pandemic. 01:29:09.000 --> 01:29:25.000 And we can read all about reverse genetic systems and how handy they are for using CDNA concepts to create full length infectious clones allowing precise targeting of genetic manipulation and also the creation of near homogenous viral 01:29:25.000 --> 01:29:32.000 stocks that can't be that are near homogenous when compared to traditional viral stocks. 01:29:32.000 --> 01:29:41.000 And that near homogeneity makes a very different story for what kinds of things could be in theory seeded when using infectious clones to do so. 01:29:41.000 --> 01:29:43.000 The signal would be different. 01:29:43.000 --> 01:29:56.000 And so we're going to talk about viral packaging just very briefly just to say that the packaging and the making of new viruses for coronavirus versus flu for example is very different. 01:29:56.000 --> 01:30:05.000 One of the things that I'd like to point out and give you a hint about is the end proteins really a lot more important than you might think for the assembly of viruses and coronavirus in particular. 01:30:05.000 --> 01:30:21.000 Here's a little diagram to remind you that influenza virus is a negative RNA and that means it needs to bring its own proteins with it and that little process of copying the genome of a flu virus seems to involve transport in and out of the nucleus 01:30:21.000 --> 01:30:31.000 where a coronavirus actually doesn't transport in and out of the nucleus and does all of its work in double membrane vesicles that are budding off of the ER. 01:30:31.000 --> 01:30:45.000 I suspect that according to this diagram and this seems to be the truth that subgenomic mRNAs are also assembled into viruses and that is the preponderance of viral particles expressing subgenomic RNAs. 01:30:45.000 --> 01:30:58.000 And so in that case you can imagine very easily the most abundant subgenomic RNAs are the ones that are most likely to be packaged and that would be NME and S interestingly enough. 01:30:58.000 --> 01:31:07.000 So if we keep working on this then what is the virus actually hijacking it's hijacking the machinery that already exists for putting things into vesicles and making exosomes. 01:31:08.000 --> 01:31:14.000 We want to also argue about RNA copying and whether or not it can be copied with the same fidelity as DNA. 01:31:14.000 --> 01:31:27.000 I'm making the argument that it can't and trying to use this analogy of a audio cassette versus a CD one of which can be copied quite regularly and one of which cannot. 01:31:28.000 --> 01:31:35.000 That scenario that kind of explains to me in an analogous way why a coronavirus is very difficult to culture and sustain in culture. 01:31:35.000 --> 01:31:53.000 But if you start with a DNA molecule an equivalent of it and you grow large quantities of it in either with using PCR or if you wanted to grow industrial sized quantities you might use E. coli like like an OVO did for its vaccine. 01:31:54.000 --> 01:32:01.000 Then you can make lots of quantities of that DNA then you could use a commercial polymerase to change that into RNA. 01:32:01.000 --> 01:32:18.000 And then you would have an extremely homogenous collection of really the sky's the limit how much you want to make of this genomic RNA that you can then apply to a cell culture and get it packaged into virus that you can then use to make models in the laboratory of disease. 01:32:18.000 --> 01:32:20.000 You can store it, you can go back to it. 01:32:20.000 --> 01:32:31.000 And what I'm arguing is you can make enough quantities of it if you wanted to with enough investment with the standard techniques known to use for other biologics to make enough to distribute around the world. 01:32:31.000 --> 01:32:39.000 And if you did that then you would have a signal that would be very homogenous and very detectable for PCR and for sequencing. 01:32:39.000 --> 01:32:57.000 And so after a few times of talking this through with Kevin McKernan, Kevin McKernan has blocked me and then recently I caught this little comment where he says that he's not talking to me anymore but he's making fun of me. 01:32:57.000 --> 01:33:08.000 And he says that it's just bio babble that coronaviruses circulate the globe every year that they hyper optimized the receptor binding domain to make it spread farther doesn't mention the fear and cleavage site. 01:33:08.000 --> 01:33:23.000 He says that he assumes that the virus originated in 2019 and he's claiming that prior circulation is an idea of his rather than mine says that the cloning hypothesis is chemtrail retarded. 01:33:23.000 --> 01:33:35.000 He says you just have to infect a few people or transfect a few people he says which is exactly what Giordano has said and what I've been saying for three years and he writes it here as though it was his idea. 01:33:35.000 --> 01:33:39.000 Then he calls it a keystone cop hypothesis. 01:33:39.000 --> 01:33:49.000 He says leaking the virus is better for world governments and he doesn't do the math on excess deaths and he still hasn't done it and he doesn't care if it was a man. 01:33:50.000 --> 01:33:54.000 Or if it was an iatrogenic murder fest. 01:33:54.000 --> 01:34:09.000 There was also a pandemic because coronaviruses circulate the globe every year according to this grad school dropout Steve or Eric Lander protege who worked for the human genome project and now as a cannabis genetics company. 01:34:10.000 --> 01:34:23.000 Jessica Rose thinks it's a great idea back when I was telling this idea to the entire Steve curse steering committee they all didn't think it was a good idea but Jessica did Matt Crawford did. 01:34:24.000 --> 01:34:41.000 And so it's very curious that this guy wastes his time trying to come against someone who's doesn't have a job has gotten laid off from a second job for telling the truth during the course of the pandemic was actually offered a paltry eight thousand dollars and a non disclosure 01:34:41.000 --> 01:35:00.000 agreement from Children's Health Defense and as a as a parting gift and I decided not to say anything and not to take that and the main reason being because then people like Kevin McCurnan could go on ad infinitum as they are on Twitter right now calling me a scammer or calling 01:35:00.000 --> 01:35:13.000 me a liar or making up stories or or whatever and also then just speculate that maybe I took a hundred thousand dollars and I wouldn't be able to say anything because I would have signed an NDA. 01:35:13.000 --> 01:35:20.000 And so I didn't sign an NDA and I can say whatever the hell I want to and according to CHD I'm worth eight thousand. 01:35:21.000 --> 01:35:30.000 My family's worth eight thousand my sacrifice to put my name in the Wuhan cover up book is worth eight thousand plus time spent. 01:35:32.000 --> 01:35:46.000 Or at least according to some people in the management of CHD I should say because I know that I have lots of friends that I still love who work at CHD who are fighting for the same things that we are fighting for and that's why I'm not afraid. 01:35:47.000 --> 01:35:54.000 That's why I'm not worried because I know CHD will weather this storm and I know that CHD will come out on the other side of better organization. 01:35:56.000 --> 01:35:59.000 But something very very very wrong is a foot. 01:36:00.000 --> 01:36:03.000 Something very wrong is a foot and I do need your help. 01:36:04.000 --> 01:36:15.000 I do need your help fighting this because I am all alone in my garage in Pittsburgh with about forty five subscribers which turns out to be pretty close to like you know five hundred dollars a month. 01:36:16.000 --> 01:36:18.000 And total so I need help. 01:36:18.000 --> 01:36:26.000 We need to have a Brett Weinstein style support here where if I had a thousand subscribers we could make this work. 01:36:28.000 --> 01:36:41.000 But we've got to be able to do this math and nobody else is doing it but us and he's a tonic live and Jessica Hockett and Nick Hudson and Denny Denny Rancore and a few other people. 01:36:42.000 --> 01:36:47.000 Everybody else isn't doing it. Everybody else is not talking about this stuff. 01:36:48.000 --> 01:36:50.000 They're just trying to make diffuse real again. 01:36:51.000 --> 01:37:04.000 Robert Malone and Kevin McCurnan and Archmetic and Jessica Rose are all trying to make diffuse real again and I want to make RNA clones real again. 01:37:05.000 --> 01:37:17.000 I want to make RNA real again. RNA biology real again. I want to stop this this charade where everybody's pretending to make a contribution to a tug of war and they're not even pulling on the rope. 01:37:18.000 --> 01:37:27.000 They're not asking relevant questions and they're arguing about irrelevant things by taking irrelevant positions and writing irrelevant books. 01:37:29.000 --> 01:37:33.000 And it's got to be stopped. We cannot let them do this to our children. 01:37:34.000 --> 01:37:45.000 The double stranded DNA contamination is just a dumb focus point for what should be a 40 point objection to the wholly inappropriate use of transfection on healthy humans. 01:37:46.000 --> 01:37:49.000 Never mind healthy young people. Never mind healthy children. 01:37:51.000 --> 01:37:58.000 And the diffuse proposal and the discussion of what it means and whether these things were done or not is all a hoax. 01:37:58.000 --> 01:38:11.000 And we're going to show it. We're going to talk about it. We're going to outline it. And then you're going to have to everyone is going to have to recalibrate what they think about the people that have been pushing this. 01:38:12.000 --> 01:38:15.000 What they think about the people that have been pushing this. 01:38:15.000 --> 01:38:19.720 pushing this. You're going to have to start really evaluating what you think 01:38:19.720 --> 01:38:25.000 about the people who have been pushing this. You're really going to have to 01:38:25.000 --> 01:38:30.360 think about what you think about the people who have been pushing this. This 01:38:30.360 --> 01:38:35.560 idea of a of a worst case scenario being a gain of function bio weapon, the 01:38:35.560 --> 01:38:41.040 people that picked us up on this road, the people who laid down this list, 01:38:41.040 --> 01:38:48.080 these these people. It produces viruses. In most cases, a large fraction, if not 01:38:48.080 --> 01:38:52.800 the majority of the virus particles that are produced are defective. And I 01:38:52.800 --> 01:38:57.120 good for anything. They're not infectious. They just kind of float around. And among 01:38:57.120 --> 01:39:00.560 other things, they interact with the immune system as does the live virus. 01:39:04.480 --> 01:39:08.720 And so this is the lie that they told us for almost two years straight from the 01:39:08.720 --> 01:39:14.560 TV all through social media arguing about the relevance of antibodies, arguing 01:39:14.560 --> 01:39:18.480 about neutralizing versus non neutralizing antibodies, arguing about 01:39:18.480 --> 01:39:23.440 antibodies from virus versus antibodies from infection versus antibodies from 01:39:23.440 --> 01:39:28.960 the vaccine. Ladies and gentlemen, we need to wake up and apologize to our 01:39:28.960 --> 01:39:33.520 children. It's not our fault that this happened. But if you listen to the wrong 01:39:33.520 --> 01:39:36.880 people, you're going to hear the wrong things. And as you start listening to the 01:39:36.880 --> 01:39:41.440 right people, you will start to be able to see the light. The intellectual 01:39:41.440 --> 01:39:45.280 bright web is out there somewhere. The independent bright web is out there 01:39:45.280 --> 01:39:49.280 somewhere. And I hope Gigo and biological is part of this light that's going to 01:39:49.280 --> 01:39:56.320 prevent this lie from becoming the truth. But we cannot underestimate the the 01:39:59.360 --> 01:40:06.160 the odds against us. We can't estimate the under estimate the odds against us. We 01:40:06.240 --> 01:40:09.440 can't underestimate how many of these things are close to becoming true. 01:40:10.240 --> 01:40:13.680 How close we are to having a digital currency. How close we are to having 01:40:13.680 --> 01:40:16.800 digital ID to be on the internet. We need to be aware of that. 01:40:19.760 --> 01:40:23.040 If we're going to get rid of this faith in a novel virus to make sure that our kids 01:40:23.040 --> 01:40:27.120 don't get on this train, we need to be aware and we need to start talking. 01:40:27.840 --> 01:40:33.680 We need to start posting. We need to start blocking. We need to start muting. We need to start 01:40:34.320 --> 01:40:39.920 coordinatedly promoting the people who have this message that we need to get to our kids. 01:40:42.240 --> 01:40:48.800 Message about the real history of epidemics and about sanitation and water treatment. 01:40:48.800 --> 01:40:54.640 The real story about novel coronaviruses and how RNA viruses are done in the laboratory. 01:40:55.440 --> 01:41:01.520 Real story about PCR, the real story about asymptomatic spread being a narrative 01:41:01.520 --> 01:41:05.440 and the real story of gain of function. We can't let them get on this train and ride away. 01:41:08.560 --> 01:41:11.440 Can't let them get on this train and ride away, ladies and gentlemen. 01:41:13.040 --> 01:41:19.440 Here's just something to remind you, for example, that it was a plan. This is the sparse pandemic 01:41:19.440 --> 01:41:26.960 document behind my head here where they talk about how the Corovacs side effects and the 01:41:26.960 --> 01:41:30.960 rumors of them travel on the internet and start to disrupt the social sphere 01:41:31.840 --> 01:41:36.080 a few years after the pandemic happens. This is all part of the story. 01:41:37.200 --> 01:41:42.240 The document you see over there, I believe, is from Alberta Health Services in Canada, 01:41:42.240 --> 01:41:49.520 where they remind kids that their parents only have control and that is access to your health 01:41:49.600 --> 01:41:57.120 information from ages 0 to 11. At 12 to 13, your parent or guardian can request access, 01:41:58.000 --> 01:42:02.960 can request access, but doesn't necessarily have it. So listen very carefully. 01:42:08.320 --> 01:42:13.600 Keep in mind, my AHS Connect is the only way to access your health information. 01:42:15.120 --> 01:42:19.280 Until you're 12 years old, your parent or guardian will be able to access your health 01:42:19.280 --> 01:42:25.680 information through proxy access, a special permission granted to them by your health care 01:42:25.680 --> 01:42:32.160 team. So the health care team is actually granting you permissions to have access to your kid's 01:42:32.160 --> 01:42:40.800 medical records. What part about inverting your sovereignty to permissions? Is this, 01:42:42.000 --> 01:42:47.280 could this be any more spot on dead on balls accurate smack on point for what I've been saying 01:42:47.280 --> 01:42:52.240 for the last three years that they were going to invert your freedom to permissions? 01:42:53.520 --> 01:43:01.600 Here is a Health Services Canada document saying that it is a special permission granted to the 01:43:01.600 --> 01:43:08.320 parents of kids under the age of 12 to have access to their data and that at age 14 and beyond, 01:43:08.320 --> 01:43:09.920 they don't have access anymore. 01:43:09.920 --> 01:43:21.680 I can't stress enough to you how important it is to see how far we are from winning, 01:43:21.680 --> 01:43:32.080 how close this is to becoming a truth, especially in places like Canada and the UK and Australia 01:43:32.080 --> 01:43:38.480 and New Zealand, which are going to be used as psychological bludgens to make sure that we accept 01:43:38.480 --> 01:43:46.640 whatever they force on them. We've got to break this illusion of consensus. We've got to break 01:43:46.640 --> 01:43:52.880 this faith in a novel virus. We've got to make sure our kids realize that this faith in a five-year 01:43:52.880 --> 01:44:01.200 continuous spread of a novel RNA pathogen is wrong. It is a lie. It is a conflated background signal. 01:44:01.200 --> 01:44:08.240 It is a conflated planted signal. It is a conflated noise signal. I don't know what it is. 01:44:09.440 --> 01:44:16.560 But there is no way in God's green earth that without the use of clones and the making of quantities 01:44:16.560 --> 01:44:23.120 of them that this molecular biology data is even close to true. Otherwise, it's all false. 01:44:24.320 --> 01:44:28.480 And if it's even remotely close to true, if any of these signals are real, 01:44:28.480 --> 01:44:33.760 it has to be a combination of background and planted. It has to be. 01:44:33.760 --> 01:44:43.040 Biology is the way out. Call for all pause on all childhood vaccinations in the United States, 01:44:43.040 --> 01:44:47.280 at least for the first year of life to start with. If you want to be wimpy about it, 01:44:47.280 --> 01:44:51.920 if you want to just get the conversation started. But I think it's very easy to say that it should 01:44:51.920 --> 01:44:58.480 be stopped. I think using the word strict liability puts people on their heels because they don't 01:44:58.480 --> 01:45:03.680 expect you to understand or use those words. But any lawyer worth their salt definitely knows 01:45:03.840 --> 01:45:08.320 that strict liability is two words you don't say in front of a pharmaceutical company. 01:45:08.320 --> 01:45:12.320 Investigate the use of deadly protocols to cause mass casualty events or 01:45:13.040 --> 01:45:19.440 investigate the use of a coordinated effort of messaging to lie about mass casualty events. 01:45:19.440 --> 01:45:24.480 As Jessica Hawket seems to have uncovered in New York and in Chicago and in 01:45:24.480 --> 01:45:30.960 her not in Chicago, in New York and in Italy with Jonathan Engler. And then of course, 01:45:30.960 --> 01:45:34.480 I want to look into transfection. I want to look into the use of clones. But I don't think 01:45:34.480 --> 01:45:41.920 you need to look very hard because that's the way RNA virology is done. So take back your sovereignty 01:45:41.920 --> 01:45:47.840 of you and your children. Get out of the who get out of the UN and the CDC of the United States. 01:45:47.840 --> 01:45:50.880 And if you want to know who these people are, you will see that they don't use the word 01:45:50.880 --> 01:45:55.520 transfection. They don't talk about clones. And if they do, they say it's dumb. They make fun of 01:45:55.600 --> 01:46:01.040 the Scooby-Doo. They make fun of the idea that the government might use an elaborate hoax instead 01:46:01.040 --> 01:46:06.240 of an actual bio weapon. And they make fun of the idea that you would object to all vaccines 01:46:06.240 --> 01:46:10.560 because vaccines are some of the greatest things ever invented. And they don't talk about strict 01:46:10.560 --> 01:46:15.600 liability at all, even when their father is a patent lawyer that used to work for the Kennedy 01:46:15.600 --> 01:46:23.120 administration. Ladies and gentlemen, they are doing this because they know that as the population 01:46:23.120 --> 01:46:28.320 decreases over the next couple generations, they will be losing the opportunity to collect this data. 01:46:28.880 --> 01:46:33.360 And so they want your kids and they want your kids kids. That's what this is all about. 01:46:34.720 --> 01:46:40.160 It's about their AI. It's about the idea that they've lied to one another and each other 01:46:40.160 --> 01:46:45.360 about eventually all this stuff's going to come together and it's going to be one great big singularity 01:46:45.360 --> 01:46:51.520 moment. It's a mythology, ladies and gentlemen. It is a mythology. They've been telling each 01:46:51.600 --> 01:46:56.320 other for decades and it's not getting any closer to being real. Ladies and gentlemen, 01:46:56.320 --> 01:47:00.720 stop all transfections in humans because they are trying to eliminate the control group by any 01:47:00.720 --> 01:47:09.280 means necessary. This has been giga-owned biological where intramuscular injection in any combination 01:47:09.280 --> 01:47:14.000 of substances with the intent of augmenting the immune system is dumb, where transfection and 01:47:14.000 --> 01:47:18.560 healthy humans is criminally negligent and where viruses are not patterned in tegrides. 01:47:51.520 --> 01:48:03.040 Hey ladies and gentlemen, thank you very much. If you can, please take the time to share my 01:48:03.040 --> 01:48:11.600 work on the internet anywhere where you frequent and if you can, please help me recruit people 01:48:11.600 --> 01:48:20.800 that have the financial wherewithal to contribute $10 a month or to contribute $290 a year or 01:48:20.800 --> 01:48:28.640 contribute $81 every three months to help my family keep this going. I do put a lot of work 01:48:28.640 --> 01:48:33.680 into these streams. I put a lot of reading into these things and a lot of thought into it and 01:48:33.680 --> 01:48:40.880 it's going to get a lot better if I can find the support and so without a doubt I'd like to thank 01:48:40.880 --> 01:48:53.760 all these people. And thank you for watching and I will see you again tomorrow. 01:48:58.480 --> 01:49:04.400 That was a nice one. Man, oh man, what could they do if they had a bunch of people in the right 01:49:04.400 --> 01:49:08.080 places, right? What could they do if they had a bunch of people in the right places 01:49:09.040 --> 01:49:15.360 controlling the narrative and making sure that everybody believed that there was a novel pathogen 01:49:16.720 --> 01:49:23.280 and that RNA was the answer. Imagine what they could have done if they had a bunch of people in 01:49:23.840 --> 01:49:29.760 in all the dark places in the internet pushing a worst-case scenario so that even if you tried 01:49:29.760 --> 01:49:36.720 to figure out what was going on you'd only find bad news. Imagine if they had intercepted some 01:49:36.800 --> 01:49:42.960 of the doctors that showed up in New York City very early and offered them fame and comfort to 01:49:44.000 --> 01:49:48.240 do the narrative for them for a little while on social media to make sure that the worst-case 01:49:48.240 --> 01:49:55.200 scenario was taken seriously and that the compliance numbers were as high as possible. Imagine what 01:49:55.200 --> 01:50:00.400 would happen if they made a bunch of really beautiful high-colored high-resolution computer 01:50:00.480 --> 01:50:09.120 animated videos about the illusion of consensus about the the immunology surrounding the counter 01:50:09.120 --> 01:50:14.640 measure and the immunology surrounding infection so that it would be very easy to spread these bad 01:50:14.640 --> 01:50:20.880 ideas across the internet, across languages, across cultures. Just imagine what would happen if they did 01:50:20.880 --> 01:50:34.000 that.