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5640 lines
136 KiB
5640 lines
136 KiB
12 months ago
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WEBVTT
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01:00.000 --> 01:16.000
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Oh look JC on the bike was timed out by Risa. Oh time out JC on the bike. JC on the bike.
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01:16.000 --> 01:28.000
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It's JC on the bike. It's JC on the bike yeah. Well I'm wise enough to know when a chomp needs banning and I know just the one.
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01:28.000 --> 01:36.000
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Look at round. It's JC on the bike. Who says Veda didn't study music in college?
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01:36.000 --> 01:43.000
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If you're not aware of the early COVID survivors website hosted by usatoniclive please check it out.
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01:43.000 --> 01:51.000
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The Mark Force podcast has been rocking lately. The last two episodes have been fantastic. It's an exciting list.
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01:51.000 --> 01:57.000
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It's an exciting list that as it populates seems to be really tying a lot of loose ends together.
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01:57.000 --> 02:07.000
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He's scheduled for 60 minutes next. He's going on French, British, Italian, Japanese television.
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02:07.000 --> 02:17.000
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People everywhere are starting to listen to him. It's embarrassing.
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02:17.000 --> 02:32.000
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We're considering doing a fundraiser for the early COVID survivors. Stay tuned. We might do a New Year's Eve telethon actually to raise money for the early COVID survivors.
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02:32.000 --> 02:40.000
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Just stay tuned to useatoniclive and to get your own biological for more details.
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02:40.000 --> 03:09.000
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I tell you those early COVID survivors they have endured everything that is imaginable in a martyr and a sacrificial lamb
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03:09.000 --> 03:15.000
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Also a victim of cancellation. I mean these people have suffered in ways that we can't understand.
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03:15.000 --> 03:28.000
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I'm really happy that Mark is calling attention to them while I simultaneously call attention to the biology that's gone out of black.
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03:28.000 --> 03:33.000
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That was a funny transition.
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03:33.000 --> 03:42.000
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The early COVID survivor, oh my goodness, I sent some sarcasm there.
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03:42.000 --> 03:56.000
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11 months ago
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Ladies and gentlemen, this is the faith we are trying to dispel. We got into the wrong car on this road, ladies and gentlemen. This is Gigaohm Biological.
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12 months ago
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03:56.000 --> 04:12.000
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Oh man, I don't know what to say about shedding. I don't like that topic very much.
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04:12.000 --> 04:25.000
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There is reasonable biological basis for shedding depending on how successful the the transfection is.
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04:25.000 --> 04:35.000
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There is reason to believe that shedding is possible. Just take an eat raw garlic for a few days and tell me that your sweat doesn't smell different.
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04:35.000 --> 04:45.000
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Tell me that your skin doesn't smell different and tell me that your body isn't excreting some of those compounds through your sweat glands and in your breath.
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04:45.000 --> 04:55.000
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And this isn't any different than a small protein or a protein fragment being shed part of an exosome or not.
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04:56.000 --> 05:18.000
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Shedding is something that it's hard to discount as wholly implausible, but on the other hand, what shedding does is it suggests that this technology is especially successful in producing protein and my guess is only in the best case scenario.
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05:18.000 --> 05:30.000
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But you know what, I'm just throwing things out there at this stage. We really don't know because transfection has never been adequately evaluated in this format in healthy people.
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05:30.000 --> 05:38.000
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And so I can wax intellectual all day long and so can everybody else. But the bottom line is that what you can expect is things to go wrong.
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05:38.000 --> 05:44.000
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Some of the things that go wrong there may include shedding, but I think most of the things that go wrong are going to be local.
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05:44.000 --> 05:48.000
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They're going to be things that go wrong with your own system.
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05:48.000 --> 05:54.000
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And those can include autoimmunity. Those could include protein misfolding.
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05:54.000 --> 06:07.000
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And I think that's why there were quite a few characters very early on in the narrative who were already seeding the idea that the novel spike protein or the bioweapon spike protein was capable of
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06:07.000 --> 06:21.000
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causing amyloid or capable of causing prion disease in the virus so that when the inevitable consequences of transfection were realized and amyloidosis was one of them or
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06:21.000 --> 06:30.000
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occasionally prion disease was one of them that this would already be covered by the viral story that was seeded at the very beginning of the pandemic.
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06:30.000 --> 06:35.000
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On a whole different sides of the internet using algorithmic plugging.
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06:35.000 --> 06:41.000
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And I think that's really what we're dealing with here is the our inability to see through the veil.
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06:41.000 --> 06:49.000
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You know, even even the idea that some of these people that picked us up on the road were innocent at some point.
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06:49.000 --> 06:53.000
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It's possible that none of them were ever not in on it.
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06:53.000 --> 06:57.000
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And so again, I can't stress enough how important it is that you share the work.
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06:57.000 --> 07:04.000
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11 months ago
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If you find it valuable, that's the best way that you can support Gigaohm biological, but Gigaohm biological is also supported through a subscriber base.
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12 months ago
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07:04.000 --> 07:11.000
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It's pretty limited, but to all of those people, I am very thankful and some of them have been contributing for several years now.
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07:11.000 --> 07:18.000
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And it's really the reason why I can't really hang up the stream and still think I need to keep fighting.
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07:18.000 --> 07:26.000
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I'm not saying that I'm going to quit, but it does make it much easier to keep going because it's a lot of hours and a lot of work.
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07:26.000 --> 07:28.000
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And so I really do appreciate it.
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07:28.000 --> 07:31.000
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But again, sharing the stream is most important.
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07:31.000 --> 07:43.000
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So I am not asking for financial donations off the top of my head, but just saying that I do receive them and I do accept them and they are valuable to me and my family.
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07:44.000 --> 07:52.000
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The gain of function worst case scenario is the thing we're mostly fighting now.
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07:52.000 --> 07:59.000
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And it is with great humility that I declare that this is what we're fighting.
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08:00.000 --> 08:12.000
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I'm not sure if I was by any stretch of the imagination, even close to the first person to articulate the gain of function in coronaviruses was a mythology.
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08:12.000 --> 08:19.000
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And I may even be guilty of resisting this idea for a while.
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08:20.000 --> 08:26.000
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And I'm feeling very humble about where I am now after four years.
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08:26.000 --> 08:39.000
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I think I could have been farther much earlier had there not been the significant level of meddling that went on behind the scenes and and in front of our eyes and in front of us on TV.
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08:39.000 --> 08:43.000
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And so here we are with six books that basically all tell the same story.
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08:44.000 --> 09:01.000
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I was able to contribute a little bit to the Wuhan cover up in the sense that there are infectious clones in there. There's RNA in lack of fidelity and RNA copying and there's a few other things in there that hint at the idea that coronaviruses may not be all there cracked up to be.
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09:01.000 --> 09:04.000
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But the book is still the same as every one of those books there.
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09:04.000 --> 09:05.000
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And I knew that from the beginning.
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09:05.000 --> 09:10.000
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The book was 70% written when I started.
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09:10.000 --> 09:19.000
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And so we're doing the best we can trying to push back against this, but we've all come to this realization too late.
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09:19.000 --> 09:21.000
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And so we've got extra work to do.
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09:21.000 --> 09:28.000
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We've got extra work to do because we've really got to push back on this novel virus because other people are not doing it.
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09:28.000 --> 09:31.000
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The people that are controlling the narrative are not doing it.
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09:32.000 --> 09:41.000
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And so I'm going to go back to this analogy because I really do think it's valuable and I'm going to keep telling it until I get it right.
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09:41.000 --> 09:54.000
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But you've got to think about the start of the pandemic is getting lost on the road in the middle of the night with some kind of new biological phenomenon floating over your head that you don't really understand you're all by yourself.
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09:54.000 --> 10:01.000
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And you're hoping that somebody's going to give you a ride somewhere, but you don't even know how you got on this road. You're just all isolated and confused.
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10:01.000 --> 10:07.000
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You don't have to go to work anymore. They're telling you that something going around that can kill your grandma.
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10:07.000 --> 10:12.000
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Maybe it was released from a laboratory according to some of the crazy people on the internet.
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10:14.000 --> 10:18.000
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And then some people came and picked you up and gave you a ride.
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10:19.000 --> 10:28.000
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It was a car full of people, though. It wasn't just one guy, but it was a person in the driver's seat, a person in the passenger seat, and a person in the backseat.
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10:28.000 --> 10:32.000
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And they offered you the fourth seat in the car.
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10:33.000 --> 10:44.000
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And who are these people? Well, they're these people that we all encountered on the internet in 2020 that we all thought were fighting for us in 2021.
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10:45.000 --> 11:00.000
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They picked us up in this car and basically bamboozled us with an illusion of consensus about a novel virus that killed millions of people that for which we had to do something that millions of people were saved from likely came from gain of function.
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11:00.000 --> 11:05.000
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And therefore will likely happen again. Only next time it'll be much worse.
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11:05.000 --> 11:12.000
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And so we've been riding in this car with people like who are on the last screen there.
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11:13.000 --> 11:17.000
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And some of them have unwittingly participated in this scheme.
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11:17.000 --> 11:30.000
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Others of them have participated in it and willingly as a result of their knowledge that we've been governed by this mythology for a long time, that it's always been the intention to govern us by this mythology.
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11:32.000 --> 11:38.000
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They have been preparing for this controlled demolition of the American system for quite some time.
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11:39.000 --> 11:45.000
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And I think we need to really seriously understand that the alarm is now.
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11:45.000 --> 11:52.000
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We don't have much time to pull out of the who and pull out of the UN and take our sovereignty back.
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11:52.000 --> 12:02.000
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We don't have that much time. It may already technically be impossible because of the way that the financial system has been legally orchestrated.
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12:03.000 --> 12:27.000
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At some point we're going to have to watch the Great Taking by David Webb because it may be the best description for how the financial system around the globe has been conscripted legally over the last decade to essentially make it possible to institute a governance structure above that of the national level without our ever being able to consent to it or not.
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12:28.000 --> 12:41.000
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And now what I want you to understand is that the people that picked you up on this road trip, the people that picked you up on this road trip may very well be aware that this is the intentional shift that's coming.
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12:42.000 --> 12:46.000
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Maybe even an inevitable one.
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12:47.000 --> 13:07.000
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We can't be sure exactly what kinds of forces are arrayed against us, but there are numbers of different competing piles of weaponized money, weaponized piles of money that are working against us and probably competing with each other at the same time behind this narrative.
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13:08.000 --> 13:12.000
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And so we don't even know which of the groups we got in the car with.
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13:13.000 --> 13:30.000
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Did we get in the car with the group that wants us to think that the baddest baddies are the Chinese or did we get in the group of the car that is working on behalf of the European interests or the city of London?
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13:31.000 --> 13:38.000
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Did we get into the car that's working on the interest of the large pharmaceutical companies, if that's even an interest?
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13:39.000 --> 13:47.000
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We don't even know what teams are in the background orchestrating this event to try and usurp our national sovereignty system.
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13:48.000 --> 14:08.000
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But somebody is, and many of these people who we have turned to for leadership are actually already aware that this transition is about to take place and are already aware and are auditioning for positions on the other side of that transition, I assure you.
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14:09.000 --> 14:15.000
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It is the only logical explanation for the drama that we have been subject to in this car ride.
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14:16.000 --> 14:20.000
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The drama about previous vaccinations and how sure they are that they work.
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14:21.000 --> 14:32.000
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The unquestioning of this novel virus jumping from species, the unquestioning use of PCR or asymptomatic spread, the unquestioning of the variants,
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14:33.000 --> 14:41.000
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and the unquestioning of gain of function research as a even greater danger than that of mother nature.
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14:42.000 --> 14:48.000
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And so this faith in a novel virus is fully safe from all these people that picked us up on this road.
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14:49.000 --> 14:57.000
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All these people that picked us up on this road are spreading the bad ideas that don't get us out and they're much more dangerous than any spreading RNA molecule.
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14:58.000 --> 15:07.000
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This illusion of consensus that they spread is much more dangerous because it gets people to behave irrationally to ditch their families.
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15:10.000 --> 15:14.000
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To go against what they should have known as common sense principles.
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15:15.000 --> 15:21.000
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To go against what they should have known about the sacredness of certain aspects of biology.
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15:22.000 --> 15:29.000
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It's not a matter of what is true that counts, but a matter of what is perceived to be true.
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15:30.000 --> 15:32.000
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That's what the intellectual dark web is all about.
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15:33.000 --> 15:38.000
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That's what these two guys right here brought Weinstein's right there.
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15:39.000 --> 15:43.000
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Brett Weinstein is right up there and then Dave Rubin is right here.
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15:44.000 --> 15:45.000
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Dave Rubin is right there.
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15:45.000 --> 15:57.000
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The original OG members of the intellectual dark web sitting at the original dinner table with Sam Harris and Eric Weinstein and Ben Shapiro and Joe Rogan.
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16:00.000 --> 16:01.000
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That's what this is.
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16:02.000 --> 16:11.000
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Pre-conceived limited spectrum of debate controlled by these guys who have a very lively debate within that spectrum.
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16:12.000 --> 16:17.000
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Listen to them give each other compliments like they weren't already on an organized team.
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16:20.000 --> 16:21.000
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This is just from like a few days ago.
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16:22.000 --> 16:29.000
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What you were doing and what we were all doing you know IDW doesn't exist.
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16:30.000 --> 16:34.000
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But it was a very important stage in something that I think doesn't have a name at the moment.
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16:35.000 --> 16:57.000
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What you were doing was somehow a prototype of what you are doing and I think there's meaningful progress if you look across that whole arc and anyway I appreciate it and I think it's important stuff so keep it up.
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16:58.000 --> 16:59.000
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I should probably end right there.
|
||
|
|
|
||
|
|
17:00.000 --> 17:13.000
|
||
|
|
And so that was just them plugging each other right and saying how great they are and how awesome they've been such dissidents and they're so confused by the current system and it's really great that you're such a leader and yada yada yada.
|
||
|
|
|
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|
|
17:14.000 --> 17:15.000
|
||
|
|
We should do another show together.
|
||
|
|
|
||
|
|
17:16.000 --> 17:27.000
|
||
|
|
Well here's from today's podcast I've got it going at two times the speed and you're not even going to really notice it's just going to sound like Brett's talking into normal speed.
|
||
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|
||
|
|
17:28.000 --> 17:46.000
|
||
|
|
Try to tolerate his verboseness and what he's basically going to do is walk you through the hypothetical of how do we tell if the number of people that are dying in our little anecdotal circle of friends and family is something significant.
|
||
|
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|
||
|
|
17:47.000 --> 18:08.000
|
||
|
|
And then he doesn't really get very precise like he always doesn't and basically boils it down to either you died from the virus or you died from the shot and excess deaths are pretty high right now and he has no real explanation for that he doesn't try to delve into it at all.
|
||
|
|
|
||
|
|
18:08.000 --> 18:19.000
|
||
|
11 months ago
|
And he wastes an awful lot of time not talking about Denis' data and for whatever reason he's not able to show the real graphs of Denis' data that show any significant findings.
|
||
|
12 months ago
|
|
||
|
|
18:20.000 --> 18:34.000
|
||
|
11 months ago
|
He does say that Denis' name a couple times and he does say that it's worth looking at I don't know if there are links in the bottom of this video I highly doubt it he's not like you know going to tell you to go to DenisRancourt.com or anything like that.
|
||
|
12 months ago
|
|
||
|
|
18:35.000 --> 18:44.000
|
||
|
11 months ago
|
And more importantly he's not going to delve into anything else that Denis has ever done even though he went all the way around the world to Romania and met Denis on stage.
|
||
|
12 months ago
|
|
||
|
|
18:48.000 --> 19:00.000
|
||
|
11 months ago
|
He didn't bother to find out all the other things that Denis did including Denis' most powerful analysis of the data in America that shows that there's no geographic evidence of spread from one geographic center to another.
|
||
|
12 months ago
|
|
||
|
|
19:01.000 --> 19:09.000
|
||
|
|
From one county to another the virus and these deaths do not cross state lines or county lines and that's a problem.
|
||
|
|
|
||
|
|
19:11.000 --> 19:17.000
|
||
|
|
And he's found this all over the world there is no real evidence of a spreading pathogen.
|
||
|
|
|
||
|
|
19:18.000 --> 19:40.000
|
||
|
|
And that's why there's no increase steady all-cause mortality increase in 2020 because the all-cause mortality increases that were said to be spread were so geographically isolated that on the average across the United States you don't really see a signal until the shot rolls out.
|
||
|
|
|
||
|
|
19:41.000 --> 19:49.000
|
||
|
|
That's very significant it's not the same as saying there was no all-cause mortality increase in 2020.
|
||
|
|
|
||
|
|
19:50.000 --> 19:57.000
|
||
|
|
It's very imprecise because in certain locations there were huge increases in all-cause mortality.
|
||
|
|
|
||
|
|
19:59.000 --> 20:01.000
|
||
|
|
But on average you do not see it.
|
||
|
|
|
||
|
|
20:01.000 --> 20:27.000
|
||
|
11 months ago
|
And so very very carefully now with very precise description of his data very very honest recapitulation of Denis' data would reveal those two things that excess deaths are higher after the shot and that there's no evidence of geographic spread in the excess deaths that we see in 2020.
|
||
|
12 months ago
|
|
||
|
|
20:31.000 --> 20:53.000
|
||
|
11 months ago
|
And just like Robert Malone he is going to use it to exclusively talk about the increase in all-cause mortality that may be indirectly or directly related to the shot and talk about it as verbose and imprecisely as possible in order to make sure that in the end you're not really that curious about Denis' data.
|
||
|
12 months ago
|
|
||
|
|
20:54.000 --> 20:56.000
|
||
|
|
You're never going to go look it up.
|
||
|
|
|
||
|
|
20:57.000 --> 20:59.000
|
||
|
|
And then they end it.
|
||
|
|
|
||
|
|
20:59.000 --> 21:05.000
|
||
|
|
So it's about ten minutes I'm going to try and let it play I just you know I might stop at once but I think I'm just going to let it play.
|
||
|
|
|
||
|
|
21:05.000 --> 21:07.000
|
||
|
|
And just remember what we're trying to listen for.
|
||
|
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|
||
|
|
21:08.000 --> 21:22.000
|
||
|
|
We're trying to listen for an honest accounting of the fact that they killed people with ventilators with lack of antibiotics with misuse of steroids with the Remdesivir, Madazalam, and sending people back to the hospital.
|
||
|
|
|
||
|
|
21:23.000 --> 21:27.000
|
||
|
|
We're trying to get back to old folks homes instead of caring for them in hospitals.
|
||
|
|
|
||
|
|
21:27.000 --> 21:36.000
|
||
|
|
The list is quite substantial quite solid quite uniform across the United States and even in places around the world.
|
||
|
|
|
||
|
|
21:36.000 --> 21:51.000
|
||
|
|
So we really need to be honest in our accounting and it seems for some reason after four years the leaders of the intellectual dark web are still absolutely incapable of counting beyond the novel virus and beyond the
|
||
|
|
|
||
|
|
21:51.000 --> 21:55.000
|
||
|
|
intersection which they still can't find the word transfection for.
|
||
|
|
|
||
|
|
21:55.000 --> 21:57.000
|
||
|
|
After four years.
|
||
|
|
|
||
|
|
22:01.000 --> 22:07.000
|
||
|
|
Example OK the problem is if I'm stuck with my anecdotal encounter with the world and this pattern.
|
||
|
|
|
||
|
|
22:07.000 --> 22:12.000
|
||
|
|
We can do the same thing for the pattern of violence in our cities then I have no way of decisively answering the question.
|
||
|
|
|
||
|
|
22:12.000 --> 22:20.000
|
||
|
|
The only thing I can do is say does the pattern continue to match the does the pattern continue to anecdotally match the predictions of the model I have that there is something new and dangerous.
|
||
|
|
|
||
|
|
22:20.000 --> 22:25.000
|
||
|
|
If I say that loose there's no that loose is that loose in the world.
|
||
|
|
|
||
|
|
22:25.000 --> 22:29.000
|
||
|
|
Yeah, I have to do over I would just say loose in the world noted.
|
||
|
|
|
||
|
|
22:29.000 --> 22:35.000
|
||
|
|
Now is that already imprecise sorry I didn't know I wasn't going to stop it but that's already very imprecise right.
|
||
|
|
|
||
|
|
22:35.000 --> 22:42.000
|
||
|
|
He's already talking about something new and deadly loose in the world that's not very precise.
|
||
|
|
|
||
|
|
22:43.000 --> 22:58.000
|
||
|
|
That sure sounds like a virus to me it doesn't sound like a shot it doesn't sound like transfection or a methodology of gene gene manipulation or gene therapy that's being mislabeled or misused or mis.
|
||
|
|
|
||
|
|
22:58.000 --> 23:08.000
|
||
|
|
Applied to a healthy population it sounds like something is loose like biologically a pattern integrity loose on the I mean come on.
|
||
|
|
|
||
|
|
23:09.000 --> 23:13.000
|
||
|
|
I hope you can see this already how just painful this is.
|
||
|
|
|
||
|
|
23:13.000 --> 23:15.000
|
||
|
|
Awesome I feel we're making progress.
|
||
|
|
|
||
|
|
23:15.000 --> 23:22.000
|
||
|
|
So what I wanted to do now is show what you do if you actually want to take that anecdotal pattern and the hypothesis that results from it and get rigorous.
|
||
|
|
|
||
|
|
23:22.000 --> 23:35.000
|
||
|
|
And if you would show there was a excellent talk at the COVID summit in Romania I'm not going to show you the talk it's worth the 25 minutes or so to watch it but this is Dennis Raincourt that's what it looked like in the auditorium.
|
||
|
|
|
||
|
|
23:35.000 --> 23:50.000
|
||
|
|
And Dennis Raincourt is a physicist who has gone and analyzed the all cause mortality data from around the world he's looked at countries different countries he's looked at very different timescales and so here take a look this is the pattern of all cause mortality
|
||
|
|
|
||
|
|
23:50.000 --> 23:55.000
|
||
|
|
by month over a hundred years 70.
|
||
|
|
|
||
|
|
23:55.000 --> 24:03.000
|
||
|
|
What you'll see is a pattern of spikes and troughs that your mind will correctly register as highly regular.
|
||
|
|
|
||
|
|
24:03.000 --> 24:10.000
|
||
|
|
Now what that highly regular pattern is is an oscillation of seasons and for reasons that Raincourt correctly points out are not fully understood.
|
||
|
|
|
||
|
|
24:10.000 --> 24:16.000
|
||
|
|
There is an increasing all cause mortality that means we don't care what you died of the question is we just count deaths and we look at the pattern.
|
||
|
|
|
||
|
|
24:16.000 --> 24:22.000
|
||
|
|
People tend to die in the winter and they tend to die much less in the summer and the exact reason for that is not perfectly understood.
|
||
|
|
|
||
|
|
24:22.000 --> 24:39.000
|
||
|
|
Now I would argue that the likely explanation for this is somewhere in the neighborhood of we all have some proximity to death at every moment a force with which the grave pulls at us.
|
||
|
|
|
||
|
|
24:39.000 --> 24:41.000
|
||
|
|
That force is quite strong.
|
||
|
|
|
||
|
|
24:41.000 --> 24:51.000
|
||
|
|
So is he he's anthropomorphizing the grave as it pulls on you and generates this seasonal variability in death.
|
||
|
|
|
||
|
|
24:51.000 --> 25:10.000
|
||
|
|
He's wasting I mean this is at double speed he's wasting time explaining people the reasonably well understood or accepted phenomenon that the death rate fluctuates seasonally it could be a combination of a lot of things we understand that.
|
||
|
|
|
||
|
|
25:11.000 --> 25:26.000
|
||
|
11 months ago
|
There's no reason to waste any time on it unless the whole idea is to tire you out so that the actual impact of anything that Denis Rancourt has done will be lost on you because number one he's not going to show it to you and number two he's not going to tell it to you and number three.
|
||
|
12 months ago
|
|
||
|
|
25:26.000 --> 25:34.000
|
||
|
|
He's going to use an extraordinary number of words not to tell or show you it.
|
||
|
|
|
||
|
|
25:34.000 --> 25:36.000
|
||
|
|
In the first year of life.
|
||
|
|
|
||
|
|
25:36.000 --> 25:49.000
|
||
|
|
It decreases radically over that year if you survive to one year of age that force pulling you towards the grave tends to be flat until you reach the age of sexual maturity at which point it begins to very gradually on an accelerating pattern increase until it's quite precipitous.
|
||
|
|
|
||
|
|
25:49.000 --> 25:58.000
|
||
|
|
Late in life and then there is arguably a plateau largely due to what is likely a decrease in your risk of cancer if you live through the period in which cancer has skyrocketed.
|
||
|
|
|
||
|
|
25:58.000 --> 26:06.000
|
||
|
|
In any case interesting that the data if you plot it out reveal this highly regular pattern and as predicted this is a northern hemisphere this is France data you're looking at here.
|
||
|
|
|
||
|
|
26:06.000 --> 26:17.000
|
||
|
|
Very interesting and of course necessary that it be this way if we look at the southern hemisphere where the pattern of seasons is inverted then the pattern of spikes and drops is inverted as it would have to be otherwise the explanation would be falsified by it.
|
||
|
|
|
||
|
|
26:17.000 --> 26:20.000
|
||
|
|
So anyway that's what the general pattern looks like.
|
||
|
|
|
||
|
|
26:20.000 --> 26:23.000
|
||
|
|
Can you show the next graph.
|
||
|
|
|
||
|
|
26:23.000 --> 26:27.000
|
||
|
|
Okay so maybe I didn't capture the other graph you want to show his bulleted list.
|
||
|
|
|
||
|
|
26:27.000 --> 26:32.000
|
||
|
|
So here's I don't know what you mean said his son Zach.
|
||
|
|
|
||
|
|
26:32.000 --> 26:39.000
|
||
|
|
So he had one graph and it was a graph that went up to 2020 so actually he showed nothing.
|
||
|
|
|
||
|
|
26:39.000 --> 26:50.000
|
||
|
|
He showed absolutely nothing of the rise of all cause mortality none nothing significant here has been shown not one graph has been shared.
|
||
|
|
|
||
|
|
26:50.000 --> 26:58.000
|
||
|
11 months ago
|
No website nothing no links no QR code nothing there to tell you where Denis' website is.
|
||
|
12 months ago
|
|
||
|
|
26:58.000 --> 27:06.000
|
||
|
|
He's pronouncing his name as rain court.
|
||
|
|
|
||
|
|
27:06.000 --> 27:17.000
|
||
|
11 months ago
|
I presume it's Denis Ran Court like you know kind of like the French I don't I'm not you know but it ain't rain core.
|
||
|
12 months ago
|
|
||
|
|
27:17.000 --> 27:27.000
|
||
|
|
You think if you went all the way around the world and met this guy and saw this brilliant presentation that you either would have gotten more slides which I think are downloadable.
|
||
|
|
|
||
|
|
27:27.000 --> 27:37.000
|
||
|
|
If you really wanted to share the data you might have learned to present it a little better maybe chosen to successive figures to make the point.
|
||
|
|
|
||
|
|
27:37.000 --> 27:42.000
|
||
|
|
But you know that the dark horse podcast never does that.
|
||
|
|
|
||
|
|
27:42.000 --> 27:45.000
|
||
|
|
These figures are tough.
|
||
|
|
|
||
|
|
27:45.000 --> 27:54.000
|
||
|
|
Teaching anything is not the goal here it's just you know to wax intellectual for a while.
|
||
|
|
|
||
|
|
27:54.000 --> 27:58.000
|
||
|
|
It's to run out the clock is what we're starting to think it is.
|
||
|
|
|
||
|
|
27:58.000 --> 28:01.000
|
||
|
|
We're basically just running out the clock.
|
||
|
|
|
||
|
|
28:01.000 --> 28:04.000
|
||
|
|
Tell the next big thing whatever is going to happen.
|
||
|
|
|
||
|
|
28:05.000 --> 28:13.000
|
||
|
|
Cyber war crash of the internet bring in the digital currency for everybody that wants bread I don't know.
|
||
|
|
|
||
|
|
28:13.000 --> 28:18.000
|
||
|
|
But these people seem to be running out the clock.
|
||
|
|
|
||
|
|
28:18.000 --> 28:32.000
|
||
|
|
When really what we need to be doing is pulling the fire alarm and saying we need to get out of the who we need to get out of the UN we need to take back our treasury we need to figure out how we are going to fix this problem in the United States without the guidance
|
||
|
|
|
||
|
|
28:32.000 --> 28:44.000
|
||
|
|
and the help of these people in these banks and in these corporations in these commercial banks that have completely bankrupt the United States.
|
||
|
|
|
||
|
|
28:44.000 --> 29:01.000
|
||
|
|
I'm not an economist I'm not some kind of finance guy but I definitely know that fractional reserve banking has been abused for too many hundreds of years and abused in such a way as to sap all of the real value and wealth from the United States.
|
||
|
|
|
||
|
|
29:02.000 --> 29:05.000
|
||
|
|
It's gone already probably.
|
||
|
|
|
||
|
|
29:05.000 --> 29:14.000
|
||
|
|
And so it's up to us each and every one of us Americans to regain ownership over our country.
|
||
|
|
|
||
|
|
29:14.000 --> 29:23.000
|
||
|
|
And I don't have a good plan for how to do it but I assure you that these people are running out the clock on that idea they are not interested in that idea.
|
||
|
|
|
||
|
|
29:23.000 --> 29:33.000
|
||
|
|
So if we've got some good ideas let's start throwing them out there let's send emails let's talk about it let's figure out how to do it if we've got to run for office then we've all got to do it.
|
||
|
|
|
||
|
|
29:33.000 --> 29:38.000
|
||
|
|
Maybe Mark Koolack needs to run in Massachusetts I don't know.
|
||
|
|
|
||
|
|
29:38.000 --> 29:46.000
|
||
|
|
Maybe we can find a person to run in every state I don't know maybe something has to happen though because this is not working anymore.
|
||
|
|
|
||
|
|
29:47.000 --> 29:56.000
|
||
|
|
These people are not helping us anymore we are hamsters in a wheel with these people.
|
||
|
|
|
||
|
|
29:56.000 --> 30:08.000
|
||
|
|
And these people are responsible for the worst case scenario narrative that kept us all trapped that fooled us all into thinking that the mystery to solve was whether this was a gain of function or lab leak not whether anybody was killing anybody.
|
||
|
|
|
||
|
|
30:08.000 --> 30:13.000
|
||
|
|
And so let's listen to see if Brett knows how many people have been killed or even cares.
|
||
|
|
|
||
|
|
30:13.000 --> 30:31.000
|
||
|
|
The upshot from this extremely carefully done research and I want to call your attention to especially number five number four on this list 17 million vaccine deaths worldwide to the present plus or minus half a million.
|
||
|
|
|
||
|
|
30:31.000 --> 30:36.000
|
||
|
|
That is incredibly high number and of course the number of inoculations given was staggering.
|
||
|
|
|
||
|
|
30:36.000 --> 30:43.000
|
||
|
|
Obviously we're not just talking about billions of people who were inoculated but many of them inoculated multiple times elsewhere in this talk and again I encourage you to go look at it.
|
||
|
|
|
||
|
|
30:43.000 --> 30:53.000
|
||
|
|
He points out that the risk goes up rather precipitously with the number of doses you've had becoming quite high at the fourth dose.
|
||
|
|
|
||
|
|
30:53.000 --> 31:00.000
|
||
|
|
Interesting I wasn't there I was going to talk but the fifth point on this list fatal toxicity is exponential with age with risk of death doubling every 45 years of age.
|
||
|
|
|
||
|
|
31:00.000 --> 31:14.000
|
||
|
|
That is not counter to but is the the opposite direction of what we have talked about anecdotally what it seems to be the case not with regard to fatality but adverse events wherein in 2022 when we were talking about the insanity of giving
|
||
|
|
|
||
|
|
31:14.000 --> 31:27.000
|
||
|
|
these vaccines to young people the point was that COVID is simultaneously a disease that does not affect the young very much see in 2022 to be talking about the insanity of giving it to young people was not talking about the insanity of giving it to
|
||
|
|
|
||
|
|
31:27.000 --> 31:32.000
|
||
|
|
the old people.
|
||
|
|
|
||
|
|
31:32.000 --> 31:56.000
|
||
|
|
It was not talking about the insanity of treating any old person for the circulating virus that there is no evidence for so there's still an acceptance of the narrative in 2022 if you're arguing for the little kids not getting the shot you still haven't figured it out
|
||
|
|
|
||
|
|
31:56.000 --> 32:14.000
|
||
|
|
that the shot should have never been justified for anyone because they killed people and the fact that they used Remdesivir and lack of antibiotics and misuse of steroids and Madazzalam in the UK and elsewhere and all of this other stuff to create
|
||
|
|
|
||
|
|
32:14.000 --> 32:34.000
|
||
|
|
these local mass casualty events that were misconstrued as spread using models and exaggeration on TV and lack of context with regard to all cause mortality that's how they justified this and they don't seem to be wanting to be aware of that
|
||
|
|
|
||
|
|
32:35.000 --> 32:44.000
|
||
|
|
they don't want to acknowledge that in order for this to have been rolled out they needed to kill people
|
||
|
|
|
||
|
|
32:44.000 --> 32:54.000
|
||
|
|
and at the very very least every single one of us that was trying to figure this out in 2020 but didn't quite get there needs to admit that we we bought into this
|
||
|
|
|
||
|
|
32:55.000 --> 33:07.000
|
||
|
|
we bought it hook, line and sinker that something was going around that we could test for even if we thought that well the tests aren't perfect we still thought we could test for it
|
||
|
|
|
||
|
|
33:07.000 --> 33:21.000
|
||
|
|
we still told people that something was going around we still talked about natural immunity to that thing that was still going around I wrote a review about the thing going around
|
||
|
|
|
||
|
|
33:21.000 --> 33:27.000
|
||
|
|
the reason why I wrote that review is because of people like Brett Weinstein
|
||
|
|
|
||
|
|
33:27.000 --> 33:33.000
|
||
|
|
because of people like Brett Weinstein agreeing wholeheartedly with everything that was on television
|
||
|
|
|
||
|
|
33:33.000 --> 33:40.000
|
||
|
|
everything that was on social media going along with the masks going along with the social distancing
|
||
|
|
|
||
|
|
33:40.000 --> 33:48.000
|
||
|
|
wondering about the possibilities of a lab leak in a worst case scenario
|
||
|
|
|
||
|
|
33:48.000 --> 33:58.000
|
||
|
|
lots of other people were doing it too lots of other people were in my circle of influencers people contacting me on the net telling me that's going to be a billion people dead you better be careful
|
||
|
|
|
||
|
|
33:58.000 --> 34:10.000
|
||
|
|
about how you say this because you could be responsible for the death of thousands or even millions of people by talking like you're talking right now Mr. Cooey
|
||
|
|
|
||
|
|
34:11.000 --> 34:24.000
|
||
|
|
and now in retrospect what I see are people that were meddling that were making sure that people who questioned the possibility of a worst case scenario were terrified to do so
|
||
|
|
|
||
|
|
34:24.000 --> 34:29.000
|
||
|
|
and so all of these people are complicit in this murder all of them
|
||
|
|
|
||
|
|
34:30.000 --> 34:46.000
|
||
|
|
I tried my best to figure it out I tried my best to find out who was lying and it took me almost three years to get to the stage where I finally realized that maybe Mark Bailey wasn't wrong about COVID
|
||
|
|
|
||
|
|
34:47.000 --> 34:56.000
|
||
|
|
maybe Andy Kaufman wasn't wrong about them being able to not isolate and purify this virus
|
||
|
|
|
||
|
|
35:02.000 --> 35:08.000
|
||
|
|
but then I think myself and I get back there and I think what in the hell happened then
|
||
|
|
|
||
|
|
35:08.000 --> 35:14.000
|
||
|
|
why was it so hard for me to come to the realization that they were lying about this
|
||
|
|
|
||
|
|
35:14.000 --> 35:20.000
|
||
|
|
why was it so hard for me to see through and then I look back and I think about all the people that I met
|
||
|
|
|
||
|
|
35:20.000 --> 35:24.000
|
||
|
|
all the people that were talking to me behind the scenes
|
||
|
|
|
||
|
|
35:24.000 --> 35:27.000
|
||
|
|
all the people that were in the car with me
|
||
|
|
|
||
|
|
35:31.000 --> 35:36.000
|
||
|
|
and those people aren't insignificant people they're people that everybody on this watching this stream
|
||
|
|
|
||
|
|
35:36.000 --> 35:40.000
|
||
|
|
everybody of the two thousand people that will watch this stream in the next day
|
||
|
|
|
||
|
|
35:40.000 --> 35:44.000
|
||
|
|
they all know it they all know who these people are
|
||
|
|
|
||
|
|
35:46.000 --> 35:52.000
|
||
|
|
who had me on their podcasts and broadcasts and on their panels
|
||
|
|
|
||
|
|
35:55.000 --> 36:00.000
|
||
|
|
the illusion of consensus was strong on signal
|
||
|
|
|
||
|
|
36:00.000 --> 36:08.000
|
||
|
|
the illusion of consensus was strong on these apps and in these videos and in these forums
|
||
|
|
|
||
|
|
36:10.000 --> 36:13.000
|
||
|
|
and these people are still reinforcing that
|
||
|
|
|
||
|
|
36:13.000 --> 36:19.000
|
||
|
11 months ago
|
still doing it right now as of today this is them reporting on Denis Rancourt's data
|
||
|
12 months ago
|
|
||
|
|
36:19.000 --> 36:22.000
|
||
|
|
and it's nothing it's a worthless report
|
||
|
|
|
||
|
|
36:24.000 --> 36:28.000
|
||
|
|
because it doesn't question the fundamental need to roll out transfection
|
||
|
|
|
||
|
|
36:28.000 --> 36:33.000
|
||
|
|
it doesn't question the fundamental basis for the rollout of the transfection
|
||
|
|
|
||
|
|
36:33.000 --> 36:36.000
|
||
|
|
it doesn't question the fundamental basis of the narrative
|
||
|
|
|
||
|
|
36:41.000 --> 36:43.000
|
||
|
|
we never needed any of this stuff
|
||
|
|
|
||
|
|
36:45.000 --> 36:50.000
|
||
|
|
Ivermectin is just a thing that probably has a lot of different benefits
|
||
|
|
|
||
|
|
36:52.000 --> 36:56.000
|
||
|
|
and Ivermectin is one of those things that Brett pushed so hard in the beginning
|
||
|
|
|
||
|
|
36:56.000 --> 36:58.000
|
||
|
|
whole hard in 2020
|
||
|
|
|
||
|
|
36:58.000 --> 37:00.000
|
||
|
|
oh my goodness and still pushing it now
|
||
|
|
|
||
|
|
37:02.000 --> 37:08.000
|
||
|
|
even though it's much more biologically plausible that that's just a drug that should be in everybody's medicine cabinet
|
||
|
|
|
||
|
|
37:09.000 --> 37:11.000
|
||
|
|
just like hydroxychloroquine probably
|
||
|
|
|
||
|
|
37:13.000 --> 37:16.000
|
||
|
|
and if we studied it correctly we'd understand when it's helpful
|
||
|
|
|
||
|
|
37:18.000 --> 37:24.000
|
||
|
|
but instead it's just one of those millions of other probably substances that we don't use like we should use it
|
||
|
|
|
||
|
|
37:24.000 --> 37:28.000
|
||
|
|
because it's cheap and free and organic
|
||
|
|
|
||
|
|
37:28.000 --> 37:30.000
|
||
|
|
and can be grown in your backyard
|
||
|
|
|
||
|
|
37:30.000 --> 37:39.000
|
||
|
|
so for four years now we're just not going to talk about anything relevant
|
||
|
|
|
||
|
|
37:39.000 --> 37:41.000
|
||
|
|
we're going to talk about the mystery virus
|
||
|
|
|
||
|
|
37:41.000 --> 37:43.000
|
||
|
|
we're going to talk about solving that
|
||
|
|
|
||
|
|
37:43.000 --> 37:45.000
|
||
|
|
we're going to talk about being dissidents
|
||
|
|
|
||
|
|
37:45.000 --> 37:47.000
|
||
|
|
and speaking out against the shots
|
||
|
|
|
||
|
|
37:47.000 --> 37:52.000
|
||
|
|
that we can never seem to accurately deem transfection
|
||
|
|
|
||
|
|
37:52.000 --> 37:55.000
|
||
|
|
even after two and a half years ago
|
||
|
|
|
||
|
|
37:55.000 --> 37:57.000
|
||
|
|
Heather and him both agreed
|
||
|
|
|
||
|
|
37:57.000 --> 38:01.000
|
||
|
|
that Jay Kui's right they are transfections they're not really vaccines
|
||
|
|
|
||
|
|
38:02.000 --> 38:06.000
|
||
|
|
but then we'll go back to call on them vaccines for two and a half more years
|
||
|
|
|
||
|
|
38:06.000 --> 38:08.000
|
||
|
|
we wouldn't want to win
|
||
|
|
|
||
|
|
38:11.000 --> 38:13.000
|
||
|
|
we can all go back and play the video
|
||
|
|
|
||
|
|
38:15.000 --> 38:19.000
|
||
|
|
they actually admitted it on a podcast that they're really transfections
|
||
|
|
|
||
|
|
38:19.000 --> 38:23.000
|
||
|
|
and Jay's right we should probably call them transfections not vaccines
|
||
|
|
|
||
|
|
38:23.000 --> 38:26.000
|
||
|
|
and then they never call them transfections again
|
||
|
|
|
||
|
|
38:28.000 --> 38:31.000
|
||
|
|
not that I watched every hour of their show anymore
|
||
|
|
|
||
|
|
38:31.000 --> 38:32.000
|
||
|
|
maybe they did
|
||
|
|
|
||
|
|
38:32.000 --> 38:35.000
|
||
|
|
but it sure didn't seem like it to me and they sure didn't say it today
|
||
|
|
|
||
|
|
38:40.000 --> 38:43.000
|
||
|
|
you're getting tired of me calling out all the same people I'm sorry
|
||
|
|
|
||
|
|
38:43.000 --> 38:45.000
|
||
|
|
I'm not watching the chat tonight
|
||
|
|
|
||
|
|
38:45.000 --> 38:48.000
|
||
|
|
I'm sure everybody's getting tired of having Brett Weinstein called out
|
||
|
|
|
||
|
|
38:48.000 --> 38:51.000
|
||
|
|
but this is one of the best examples out there
|
||
|
|
|
||
|
|
38:52.000 --> 38:56.000
|
||
|
|
one of the best examples of what we're up against
|
||
|
|
|
||
|
|
38:59.000 --> 39:01.000
|
||
|
|
this is what the illusion of consensus looks like
|
||
|
|
|
||
|
|
39:01.000 --> 39:05.000
|
||
|
|
if you watch this podcast you are getting in Brett's car
|
||
|
|
|
||
|
|
39:05.000 --> 39:09.000
|
||
|
|
and letting him tell you a story about what you see outside of the car
|
||
|
|
|
||
|
|
39:09.000 --> 39:11.000
|
||
|
|
and where he's taking you
|
||
|
|
|
||
|
|
39:13.000 --> 39:15.000
|
||
|
|
and you don't know where that is
|
||
|
|
|
||
|
|
39:15.000 --> 39:19.000
|
||
|
|
you don't know if that's toward a central bank digital currency
|
||
|
|
|
||
|
|
39:19.000 --> 39:21.000
|
||
|
|
and digital ID
|
||
|
|
|
||
|
|
39:21.000 --> 39:25.000
|
||
|
|
you don't know if that's toward genetic sampling of everybody
|
||
|
|
|
||
|
|
39:25.000 --> 39:27.000
|
||
|
|
you don't know if that's toward informatic
|
||
|
|
|
||
|
|
39:27.000 --> 39:29.000
|
||
|
|
bioinformatics on everyone
|
||
|
|
|
||
|
|
39:31.000 --> 39:33.000
|
||
|
|
population control
|
||
|
|
|
||
|
|
39:33.000 --> 39:35.000
|
||
|
|
he could be for all of that for all you know
|
||
|
|
|
||
|
|
39:42.000 --> 39:43.000
|
||
|
|
they're not telling the truth
|
||
|
|
|
||
|
|
39:43.000 --> 39:47.000
|
||
|
|
the problem is if I'm stuck with my anecdotal encounter with the world
|
||
|
|
|
||
|
|
39:47.000 --> 39:48.000
|
||
|
|
and this pattern
|
||
|
|
|
||
|
|
39:48.000 --> 39:51.000
|
||
|
|
we can do the same thing for the pattern of violence in our cities
|
||
|
|
|
||
|
|
39:51.000 --> 39:53.000
|
||
|
|
then I have no way of decisively answering the question
|
||
|
|
|
||
|
|
39:53.000 --> 39:56.000
|
||
|
|
the only thing I can do is say does the pattern continue to match
|
||
|
|
|
||
|
|
39:56.000 --> 39:58.000
|
||
|
|
does the pattern continue to anecdotally match
|
||
|
|
|
||
|
|
39:58.000 --> 40:02.000
|
||
|
|
the predictions of the model I have that there's something new and dangerous
|
||
|
|
|
||
|
|
40:02.000 --> 40:04.000
|
||
|
|
at loose in the world
|
||
|
|
|
||
|
|
40:04.000 --> 40:07.000
|
||
|
|
if I say at loose there's no at loose in the world
|
||
|
|
|
||
|
|
40:07.000 --> 40:08.000
|
||
|
|
yeah
|
||
|
|
|
||
|
|
40:08.000 --> 40:10.000
|
||
|
|
if I have to do over I would just say loose in the world
|
||
|
|
|
||
|
|
40:10.000 --> 40:11.000
|
||
|
|
no did
|
||
|
|
|
||
|
|
40:11.000 --> 40:13.000
|
||
|
|
awesome I feel we're making progress
|
||
|
|
|
||
|
|
40:13.000 --> 40:16.000
|
||
|
|
so what I wanted to do now is show what you do
|
||
|
|
|
||
|
|
40:16.000 --> 40:18.000
|
||
|
|
if you actually want to take that anecdotal pattern
|
||
|
|
|
||
|
|
40:18.000 --> 40:20.000
|
||
|
|
and the hypothesis that results from it
|
||
|
|
|
||
|
|
40:20.000 --> 40:21.000
|
||
|
|
and get rigorous
|
||
|
|
|
||
|
|
40:21.000 --> 40:24.000
|
||
|
|
and if you would show there was a excellent talk
|
||
|
|
|
||
|
|
40:24.000 --> 40:26.000
|
||
|
|
sorry I went back I'm just going to let it play
|
||
|
|
|
||
|
|
40:26.000 --> 40:28.000
|
||
|
|
because it's pretty fast
|
||
|
|
|
||
|
|
40:28.000 --> 40:29.000
|
||
|
|
I think it's pretty fast
|
||
|
|
|
||
|
|
40:29.000 --> 40:30.000
|
||
|
|
five minutes or so
|
||
|
|
|
||
|
|
40:30.000 --> 40:32.000
|
||
|
|
to watch it but this is Dennis Raincourt
|
||
|
|
|
||
|
|
40:32.000 --> 40:34.000
|
||
|
|
that's what it looked like in the auditorium
|
||
|
|
|
||
|
|
40:34.000 --> 40:36.000
|
||
|
|
and Dennis Raincourt is a physicist who has gone
|
||
|
|
|
||
|
|
40:36.000 --> 40:39.000
|
||
|
|
and analyzed the all-cause mortality data
|
||
|
|
|
||
|
|
40:39.000 --> 40:40.000
|
||
|
|
from around the world
|
||
|
|
|
||
|
|
40:40.000 --> 40:42.000
|
||
|
|
he's looked at countries different countries
|
||
|
|
|
||
|
|
40:42.000 --> 40:44.000
|
||
|
|
he's looked at very different time scales
|
||
|
|
|
||
|
|
40:44.000 --> 40:46.000
|
||
|
|
and so here take a look this is
|
||
|
|
|
||
|
|
40:46.000 --> 40:48.000
|
||
|
|
the pattern of all-cause mortality
|
||
|
|
|
||
|
|
40:48.000 --> 40:52.000
|
||
|
|
by month over a hundred years
|
||
|
|
|
||
|
|
40:52.000 --> 40:54.000
|
||
|
|
seventy
|
||
|
|
|
||
|
|
40:54.000 --> 40:56.000
|
||
|
|
what you'll see
|
||
|
|
|
||
|
|
40:56.000 --> 40:58.000
|
||
|
|
is a pattern of spikes and troughs
|
||
|
|
|
||
|
|
40:58.000 --> 41:00.000
|
||
|
|
that your mind will correctly register
|
||
|
|
|
||
|
|
41:00.000 --> 41:02.000
|
||
|
|
as highly regular
|
||
|
|
|
||
|
|
41:02.000 --> 41:04.000
|
||
|
|
now what that highly regular pattern is
|
||
|
|
|
||
|
|
41:04.000 --> 41:06.000
|
||
|
|
is an oscillation of seasons
|
||
|
|
|
||
|
|
41:06.000 --> 41:08.000
|
||
|
|
and for reasons that Raincourt correctly points out
|
||
|
|
|
||
|
|
41:08.000 --> 41:09.000
|
||
|
|
are not fully understood
|
||
|
|
|
||
|
|
41:09.000 --> 41:11.000
|
||
|
|
there is an increasing
|
||
|
|
|
||
|
|
41:11.000 --> 41:12.000
|
||
|
|
all-cause mortality
|
||
|
|
|
||
|
|
41:12.000 --> 41:14.000
|
||
|
|
that means we don't care what you died of
|
||
|
|
|
||
|
|
41:14.000 --> 41:16.000
|
||
|
|
the question is we just count deaths and we look at the pattern
|
||
|
|
|
||
|
|
41:16.000 --> 41:18.000
|
||
|
|
people tend to die in the winter
|
||
|
|
|
||
|
|
41:18.000 --> 41:20.000
|
||
|
|
and they tend to die much less in the summer
|
||
|
|
|
||
|
|
41:20.000 --> 41:22.000
|
||
|
|
and the exact reason for that is not perfectly understood
|
||
|
|
|
||
|
|
41:22.000 --> 41:24.000
|
||
|
|
now I would argue that
|
||
|
|
|
||
|
|
41:24.000 --> 41:26.000
|
||
|
|
the
|
||
|
|
|
||
|
|
41:26.000 --> 41:29.000
|
||
|
|
the likely explanation for this
|
||
|
|
|
||
|
|
41:29.000 --> 41:31.000
|
||
|
|
is somewhere in the neighborhood of
|
||
|
|
|
||
|
|
41:31.000 --> 41:33.000
|
||
|
|
we all have some proximity to death
|
||
|
|
|
||
|
|
41:33.000 --> 41:35.000
|
||
|
|
at every moment
|
||
|
|
|
||
|
|
41:35.000 --> 41:38.000
|
||
|
|
a force with which the grave pulls at us
|
||
|
|
|
||
|
|
41:38.000 --> 41:40.000
|
||
|
|
that force is quite strong
|
||
|
|
|
||
|
|
41:40.000 --> 41:42.000
|
||
|
|
in the first year of life
|
||
|
|
|
||
|
|
41:42.000 --> 41:44.000
|
||
|
|
it decreases radically over that year
|
||
|
|
|
||
|
|
41:44.000 --> 41:46.000
|
||
|
|
if you survive to one year of age
|
||
|
|
|
||
|
|
41:46.000 --> 41:48.000
|
||
|
|
that force pulling you towards the grave tends to
|
||
|
|
|
||
|
|
41:48.000 --> 41:50.000
|
||
|
|
that was the grave pulling me down
|
||
|
|
|
||
|
|
41:50.000 --> 41:52.000
|
||
|
|
sorry that was too much security at which point
|
||
|
|
|
||
|
|
41:52.000 --> 41:54.000
|
||
|
|
it begins to very gradually in an accelerating pattern
|
||
|
|
|
||
|
|
41:54.000 --> 41:56.000
|
||
|
|
increase until it's quite precipitous
|
||
|
|
|
||
|
|
41:56.000 --> 41:58.000
|
||
|
|
late in life and then there is arguably
|
||
|
|
|
||
|
|
41:58.000 --> 42:00.000
|
||
|
|
a plateau largely due to
|
||
|
|
|
||
|
|
42:00.000 --> 42:02.000
|
||
|
|
what is likely a decrease in your risk of cancer
|
||
|
|
|
||
|
|
42:02.000 --> 42:04.000
|
||
|
|
if you live through the period in which cancer has skyrocketed
|
||
|
|
|
||
|
|
42:04.000 --> 42:06.000
|
||
|
|
but in any case interesting that the data
|
||
|
|
|
||
|
|
42:06.000 --> 42:07.000
|
||
|
|
if you plot it out
|
||
|
|
|
||
|
|
42:07.000 --> 42:09.000
|
||
|
|
reveal this highly regular pattern
|
||
|
|
|
||
|
|
42:09.000 --> 42:11.000
|
||
|
|
it's predicted this is northern hemisphere
|
||
|
|
|
||
|
|
42:11.000 --> 42:13.000
|
||
|
|
this is france data you're looking at here
|
||
|
|
|
||
|
|
42:13.000 --> 42:15.000
|
||
|
|
very interesting and of course necessary that it be this way
|
||
|
|
|
||
|
|
42:15.000 --> 42:17.000
|
||
|
|
if we look at the southern hemisphere where the
|
||
|
|
|
||
|
|
42:17.000 --> 42:19.000
|
||
|
|
pattern of seasons is inverted
|
||
|
|
|
||
|
|
42:19.000 --> 42:21.000
|
||
|
|
then the pattern of spikes and drops is inverted
|
||
|
|
|
||
|
|
42:21.000 --> 42:23.000
|
||
|
|
as it would have to be otherwise the explanation would be falsified by it
|
||
|
|
|
||
|
|
42:23.000 --> 42:25.000
|
||
|
|
so anyway that's what the general pattern looks like
|
||
|
|
|
||
|
|
42:25.000 --> 42:27.000
|
||
|
|
can you show the next graph
|
||
|
|
|
||
|
|
42:27.000 --> 42:31.000
|
||
|
|
okay so maybe I didn't capture the other graph
|
||
|
|
|
||
|
|
42:31.000 --> 42:33.000
|
||
|
|
you want to show his bulleted list then
|
||
|
|
|
||
|
|
42:33.000 --> 42:35.000
|
||
|
|
so here is the upshot from
|
||
|
|
|
||
|
|
42:35.000 --> 42:38.000
|
||
|
|
this extremely carefully done research
|
||
|
|
|
||
|
|
42:38.000 --> 42:40.000
|
||
|
|
and I want to call your attention
|
||
|
|
|
||
|
|
42:40.000 --> 42:42.000
|
||
|
|
to
|
||
|
|
|
||
|
|
42:42.000 --> 42:44.000
|
||
|
|
especially number five
|
||
|
|
|
||
|
|
42:44.000 --> 42:46.000
|
||
|
|
number four on this list
|
||
|
|
|
||
|
|
42:46.000 --> 42:48.000
|
||
|
|
17 million vaccine deaths worldwide
|
||
|
|
|
||
|
|
42:48.000 --> 42:50.000
|
||
|
|
to the present
|
||
|
|
|
||
|
|
42:50.000 --> 42:52.000
|
||
|
|
plus or minus half a million
|
||
|
|
|
||
|
|
42:52.000 --> 42:54.000
|
||
|
|
that is an incredibly high number
|
||
|
|
|
||
|
|
42:54.000 --> 42:56.000
|
||
|
|
now of course the number of inoculations given
|
||
|
|
|
||
|
|
42:56.000 --> 42:58.000
|
||
|
|
was staggering
|
||
|
|
|
||
|
|
42:58.000 --> 43:00.000
|
||
|
|
obviously we're not just talking about billions of people
|
||
|
|
|
||
|
|
43:00.000 --> 43:02.000
|
||
|
|
who were inoculated but many of them inoculated multiple times
|
||
|
|
|
||
|
|
43:02.000 --> 43:04.000
|
||
|
|
elsewhere in this talk and again I encourage you to go look at it
|
||
|
|
|
||
|
|
43:04.000 --> 43:06.000
|
||
|
|
he points out that the risk goes up
|
||
|
|
|
||
|
|
43:06.000 --> 43:08.000
|
||
|
|
precipitously with the number of doses you've had
|
||
|
|
|
||
|
|
43:08.000 --> 43:10.000
|
||
|
|
becoming quite high
|
||
|
|
|
||
|
|
43:10.000 --> 43:12.000
|
||
|
|
at the fourth dose
|
||
|
|
|
||
|
|
43:12.000 --> 43:14.000
|
||
|
|
interesting I wasn't there I was going to talk
|
||
|
|
|
||
|
|
43:14.000 --> 43:18.000
|
||
|
|
but the fifth point on this list fatal toxicity is exponential with age
|
||
|
|
|
||
|
|
43:18.000 --> 43:20.000
|
||
|
|
with the risk of death doubling every 45 years of age
|
||
|
|
|
||
|
|
43:20.000 --> 43:22.000
|
||
|
|
that is not counter to
|
||
|
|
|
||
|
|
43:22.000 --> 43:26.000
|
||
|
|
but is the opposite direction of what we have talked about anecdotally
|
||
|
|
|
||
|
|
43:26.000 --> 43:28.000
|
||
|
|
when it seems to be the case not with regard to fatality
|
||
|
|
|
||
|
|
43:28.000 --> 43:30.000
|
||
|
|
but adverse events wherein
|
||
|
|
|
||
|
|
43:30.000 --> 43:32.000
|
||
|
|
in 2022
|
||
|
|
|
||
|
|
43:32.000 --> 43:34.000
|
||
|
|
when we were talking about the insanity of
|
||
|
|
|
||
|
|
43:34.000 --> 43:36.000
|
||
|
|
giving these vaccines to young people
|
||
|
|
|
||
|
|
43:36.000 --> 43:38.000
|
||
|
|
the point was that
|
||
|
|
|
||
|
|
43:38.000 --> 43:40.000
|
||
|
|
COVID is simultaneously a disease that does not affect the young very much
|
||
|
|
|
||
|
|
43:40.000 --> 43:44.000
|
||
|
|
and these vaccines seem to produce a greater number of adverse events in the young
|
||
|
|
|
||
|
|
43:48.000 --> 43:50.000
|
||
|
|
that's got to be wrong
|
||
|
|
|
||
|
|
43:50.000 --> 43:54.000
|
||
|
|
and I'm surprised that she went there
|
||
|
|
|
||
|
|
43:54.000 --> 43:58.000
|
||
|
|
the additional adverse events
|
||
|
|
|
||
|
|
43:58.000 --> 44:00.000
|
||
|
|
in the young
|
||
|
|
|
||
|
|
44:00.000 --> 44:02.000
|
||
|
|
it was because when an old person
|
||
|
|
|
||
|
|
44:02.000 --> 44:04.000
|
||
|
|
who's 70 years old
|
||
|
|
|
||
|
|
44:04.000 --> 44:06.000
|
||
|
|
takes the vaccine and gets myocarditis
|
||
|
|
|
||
|
|
44:06.000 --> 44:08.000
|
||
|
|
and has a heart attack
|
||
|
|
|
||
|
|
44:08.000 --> 44:10.000
|
||
|
|
it's not a vaccine adverse event
|
||
|
|
|
||
|
|
44:10.000 --> 44:12.000
|
||
|
|
it's just an old person dying
|
||
|
|
|
||
|
|
44:14.000 --> 44:16.000
|
||
|
|
I don't think you can underestimate
|
||
|
|
|
||
|
|
44:16.000 --> 44:18.000
|
||
|
|
the idea that when you give an old person a
|
||
|
|
|
||
|
|
44:18.000 --> 44:20.000
|
||
|
|
transfection and they have a adverse event
|
||
|
|
|
||
|
|
44:20.000 --> 44:22.000
|
||
|
|
it is so dismissable
|
||
|
|
|
||
|
|
44:22.000 --> 44:24.000
|
||
|
|
it's not even funny
|
||
|
|
|
||
|
|
44:24.000 --> 44:26.000
|
||
|
|
a stroke is dismissable
|
||
|
|
|
||
|
|
44:26.000 --> 44:28.000
|
||
|
|
in a 65 year old person
|
||
|
|
|
||
|
|
44:28.000 --> 44:32.000
|
||
|
|
they're not even going to worry about that
|
||
|
|
|
||
|
|
44:32.000 --> 44:36.000
|
||
|
|
and especially if that stroke comes two weeks
|
||
|
|
|
||
|
|
44:36.000 --> 44:38.000
|
||
|
|
after the shot instead of two hours
|
||
|
|
|
||
|
|
44:40.000 --> 44:42.000
|
||
|
|
and I don't think that you can
|
||
|
|
|
||
|
|
44:42.000 --> 44:44.000
|
||
|
|
underestimate how important that is
|
||
|
|
|
||
|
|
44:44.000 --> 44:46.000
|
||
|
|
because in young people
|
||
|
|
|
||
|
|
44:46.000 --> 44:48.000
|
||
|
|
when the stroke happens
|
||
|
|
|
||
|
|
44:48.000 --> 44:50.000
|
||
|
|
four months later
|
||
|
|
|
||
|
|
44:50.000 --> 44:52.000
|
||
|
|
people are still willing to say
|
||
|
|
|
||
|
|
44:52.000 --> 44:54.000
|
||
|
|
hey wait a minute
|
||
|
|
|
||
|
|
44:54.000 --> 44:56.000
|
||
|
|
Annie was 40 years old
|
||
|
|
|
||
|
|
44:56.000 --> 44:58.000
|
||
|
|
she did
|
||
|
|
|
||
|
|
44:58.000 --> 45:00.000
|
||
|
|
but when you're 65 years old
|
||
|
|
|
||
|
|
45:00.000 --> 45:02.000
|
||
|
|
nobody cares
|
||
|
|
|
||
|
|
45:02.000 --> 45:04.000
|
||
|
|
nobody's thinking that
|
||
|
|
|
||
|
|
45:04.000 --> 45:06.000
|
||
|
|
like oh wow he was fine
|
||
|
|
|
||
|
|
45:06.000 --> 45:08.000
|
||
|
|
he should have lived longer
|
||
|
|
|
||
|
|
45:08.000 --> 45:10.000
|
||
|
|
and even when they do
|
||
|
|
|
||
|
|
45:10.000 --> 45:12.000
|
||
|
|
the question is not really there
|
||
|
|
|
||
|
|
45:12.000 --> 45:16.000
|
||
|
|
it's not statistically significant in their mind
|
||
|
|
|
||
|
|
45:16.000 --> 45:18.000
|
||
|
|
and so I want you to understand
|
||
|
|
|
||
|
|
45:18.000 --> 45:20.000
|
||
|
|
how sad it is
|
||
|
|
|
||
|
|
45:20.000 --> 45:22.000
|
||
|
|
that it were here now
|
||
|
|
|
||
|
|
45:22.000 --> 45:24.000
|
||
|
|
four years into the pandemic
|
||
|
|
|
||
|
|
45:24.000 --> 45:26.000
|
||
|
|
people haven't reassessed
|
||
|
|
|
||
|
|
45:26.000 --> 45:28.000
|
||
|
|
transfection
|
||
|
|
|
||
|
|
45:28.000 --> 45:30.000
|
||
|
|
for the ridiculous
|
||
|
|
|
||
|
|
45:30.000 --> 45:32.000
|
||
|
|
criminally negligent application
|
||
|
|
|
||
|
|
45:32.000 --> 45:34.000
|
||
|
|
of a methodology that is
|
||
|
|
|
||
|
|
45:34.000 --> 45:36.000
|
||
|
|
wholly inappropriate for healthy humans
|
||
|
|
|
||
|
|
45:36.000 --> 45:38.000
|
||
|
|
of any age
|
||
|
|
|
||
|
|
45:38.000 --> 45:40.000
|
||
|
|
even after all this time
|
||
|
|
|
||
|
|
45:40.000 --> 45:44.000
|
||
|
|
of arguing on the couch
|
||
|
|
|
||
|
|
45:44.000 --> 45:46.000
|
||
|
|
two years ago with
|
||
|
|
|
||
|
|
45:46.000 --> 45:48.000
|
||
|
|
Robert Malone
|
||
|
|
|
||
|
|
45:48.000 --> 45:50.000
|
||
|
|
about how it's some kind of
|
||
|
|
|
||
|
|
45:50.000 --> 45:52.000
|
||
|
|
log made of fiberglass
|
||
|
|
|
||
|
|
45:52.000 --> 45:54.000
|
||
|
|
in a way
|
||
|
|
|
||
|
|
45:54.000 --> 45:56.000
|
||
|
|
and the body has to be challenged
|
||
|
|
|
||
|
|
45:56.000 --> 45:58.000
|
||
|
|
to not make auto-immunity
|
||
|
|
|
||
|
|
45:58.000 --> 46:00.000
|
||
|
|
but somehow it's okay
|
||
|
|
|
||
|
|
46:00.000 --> 46:02.000
|
||
|
|
to do that in old people
|
||
|
|
|
||
|
|
46:02.000 --> 46:04.000
|
||
|
|
somehow it's okay
|
||
|
|
|
||
|
|
46:04.000 --> 46:06.000
|
||
|
|
to transfect the endothelium
|
||
|
|
|
||
|
|
46:06.000 --> 46:08.000
|
||
|
|
of old people but young people
|
||
|
|
|
||
|
|
46:08.000 --> 46:10.000
|
||
|
|
are especially vulnerable
|
||
|
|
|
||
|
|
46:10.000 --> 46:12.000
|
||
|
|
to adverse events
|
||
|
|
|
||
|
|
46:12.000 --> 46:14.000
|
||
|
|
that's not a very
|
||
|
|
|
||
|
|
46:14.000 --> 46:16.000
|
||
|
|
insightful interpretation
|
||
|
|
|
||
|
|
46:16.000 --> 46:18.000
|
||
|
|
of the current data
|
||
|
|
|
||
|
|
46:18.000 --> 46:20.000
|
||
|
|
that seems like pretty much
|
||
|
|
|
||
|
|
46:20.000 --> 46:22.000
|
||
|
|
a pretty cutter
|
||
|
|
|
||
|
|
46:22.000 --> 46:24.000
|
||
|
|
CDC FDA
|
||
|
|
|
||
|
|
46:24.000 --> 46:26.000
|
||
|
|
best case scenario
|
||
|
|
|
||
|
|
46:26.000 --> 46:28.000
|
||
|
|
for the rollout of a
|
||
|
|
|
||
|
|
46:28.000 --> 46:30.000
|
||
|
|
transfection in a hurry
|
||
|
|
|
||
|
|
46:30.000 --> 46:32.000
|
||
|
|
I can't even believe
|
||
|
|
|
||
|
|
46:32.000 --> 46:34.000
|
||
|
|
I need to explain it
|
||
|
|
|
||
|
|
46:34.000 --> 46:36.000
|
||
|
|
but it's so ridiculous
|
||
|
|
|
||
|
|
46:40.000 --> 46:42.000
|
||
|
|
and here we are
|
||
|
|
|
||
|
|
46:42.000 --> 46:44.000
|
||
|
|
we're still not talking about the protocols
|
||
|
|
|
||
|
|
46:44.000 --> 46:46.000
|
||
|
|
and how these whole things were justified
|
||
|
|
|
||
|
|
46:46.000 --> 46:48.000
|
||
|
|
it's like that part of the story
|
||
|
|
|
||
|
|
46:48.000 --> 46:50.000
|
||
|
|
in 2020 and half of 2021
|
||
|
|
|
||
|
|
46:50.000 --> 46:52.000
|
||
|
|
they weren't objecting to anything
|
||
|
|
|
||
|
|
46:54.000 --> 46:56.000
|
||
|
|
now we did not
|
||
|
|
|
||
|
|
46:56.000 --> 46:58.000
|
||
|
|
we never said that it tends to kill the young more
|
||
|
|
|
||
|
|
46:58.000 --> 47:00.000
|
||
|
|
but the myocarditis and pericoditis
|
||
|
|
|
||
|
|
47:00.000 --> 47:02.000
|
||
|
|
specifically in young men and potentially
|
||
|
|
|
||
|
|
47:02.000 --> 47:04.000
|
||
|
|
menstrual and pregnancy issues in young women
|
||
|
|
|
||
|
|
47:04.000 --> 47:06.000
|
||
|
|
you know just because that's a young woman situation
|
||
|
|
|
||
|
|
47:06.000 --> 47:08.000
|
||
|
|
but is more of an issue
|
||
|
|
|
||
|
|
47:08.000 --> 47:10.000
|
||
|
|
in youth whereas he's finding fatal toxicity
|
||
|
|
|
||
|
|
47:10.000 --> 47:12.000
|
||
|
|
increasing with age
|
||
|
|
|
||
|
|
47:12.000 --> 47:14.000
|
||
|
|
so I wanted to actually navigate that a little bit
|
||
|
|
|
||
|
|
47:14.000 --> 47:16.000
|
||
|
|
and this drawing from the research
|
||
|
|
|
||
|
|
47:16.000 --> 47:18.000
|
||
|
|
I did back when I was doing the telomere work
|
||
|
|
|
||
|
|
47:18.000 --> 47:20.000
|
||
|
|
and deeply embedded in the evidence
|
||
|
|
|
||
|
|
47:20.000 --> 47:22.000
|
||
|
|
surrounding senescence
|
||
|
|
|
||
|
|
47:22.000 --> 47:24.000
|
||
|
|
which begins at the age of first reproduction
|
||
|
|
|
||
|
|
47:24.000 --> 47:26.000
|
||
|
|
or average age of first reproduction
|
||
|
|
|
||
|
|
47:26.000 --> 47:28.000
|
||
|
|
for your species
|
||
|
|
|
||
|
|
47:28.000 --> 47:30.000
|
||
|
|
and continues to
|
||
|
|
|
||
|
|
47:30.000 --> 47:32.000
|
||
|
|
to accelerate through life with
|
||
|
|
|
||
|
|
47:32.000 --> 47:34.000
|
||
|
|
additional years
|
||
|
|
|
||
|
|
47:34.000 --> 47:36.000
|
||
|
|
that process
|
||
|
|
|
||
|
|
47:36.000 --> 47:38.000
|
||
|
|
is the empirical description
|
||
|
|
|
||
|
|
47:38.000 --> 47:40.000
|
||
|
|
of the vulnerability that I was just describing
|
||
|
|
|
||
|
|
47:40.000 --> 47:42.000
|
||
|
|
the force that is pulling you towards the grave
|
||
|
|
|
||
|
|
47:42.000 --> 47:44.000
|
||
|
|
now on your 20th birthday
|
||
|
|
|
||
|
|
47:44.000 --> 47:46.000
|
||
|
|
is so weak
|
||
|
|
|
||
|
|
47:46.000 --> 47:48.000
|
||
|
|
now if you're a male you may be inclined to risky behaviors
|
||
|
|
|
||
|
|
47:48.000 --> 47:50.000
|
||
|
|
and we can argue about what that pattern is
|
||
|
|
|
||
|
|
47:50.000 --> 47:52.000
|
||
|
|
but from the point of view of the failure of your biological systems
|
||
|
|
|
||
|
|
47:52.000 --> 47:54.000
|
||
|
|
at a critical level that would cause you to die
|
||
|
|
|
||
|
|
47:54.000 --> 47:56.000
|
||
|
|
the force is extremely weak at 20 especially
|
||
|
|
|
||
|
|
47:56.000 --> 47:58.000
|
||
|
|
in the prior world
|
||
|
|
|
||
|
|
47:58.000 --> 48:00.000
|
||
|
|
before all the novel influences
|
||
|
|
|
||
|
|
48:00.000 --> 48:02.000
|
||
|
|
you know you might now be a 20 year old with a metabolic disease
|
||
|
|
|
||
|
|
48:02.000 --> 48:04.000
|
||
|
|
that would make you much more vulnerable but historically speaking
|
||
|
|
|
||
|
|
48:04.000 --> 48:08.000
|
||
|
|
you would have had a very low degree of decrepitude at 20
|
||
|
|
|
||
|
|
48:08.000 --> 48:10.000
|
||
|
|
maybe only a few years and accelerating at a very low rate
|
||
|
|
|
||
|
|
48:10.000 --> 48:12.000
|
||
|
|
and as you get older
|
||
|
|
|
||
|
|
48:12.000 --> 48:14.000
|
||
|
|
the degree to which your systems are compromised
|
||
|
|
|
||
|
|
48:14.000 --> 48:16.000
|
||
|
|
by this goes up and up and up
|
||
|
|
|
||
|
|
48:16.000 --> 48:18.000
|
||
|
|
so if you imagine as Dr. Raincourt points out in his talk
|
||
|
|
|
||
|
|
48:18.000 --> 48:22.000
|
||
|
|
if you imagine that the mRNA vaccines function as a toxin
|
||
|
|
|
||
|
|
48:22.000 --> 48:24.000
|
||
|
|
and I'm not sure that's exactly the right description
|
||
|
|
|
||
|
|
48:24.000 --> 48:26.000
|
||
|
|
they are toxic but they are more than that
|
||
|
|
|
||
|
|
48:26.000 --> 48:28.000
|
||
|
|
because of the way they interact with the immune system
|
||
|
|
|
||
|
|
48:28.000 --> 48:30.000
|
||
|
|
yeah they are
|
||
|
|
|
||
|
|
48:30.000 --> 48:32.000
|
||
|
|
they are a
|
||
|
|
|
||
|
|
48:32.000 --> 48:34.000
|
||
|
|
complex toxin
|
||
|
|
|
||
|
|
48:34.000 --> 48:36.000
|
||
|
|
indeed
|
||
|
|
|
||
|
|
48:38.000 --> 48:40.000
|
||
|
|
transfection
|
||
|
|
|
||
|
|
48:40.000 --> 48:42.000
|
||
|
|
does that not that word doesn't work
|
||
|
|
|
||
|
|
48:44.000 --> 48:46.000
|
||
|
|
a toxin that keeps on giving
|
||
|
|
|
||
|
|
48:46.000 --> 48:48.000
|
||
|
|
why would they just call it what it is
|
||
|
|
|
||
|
|
48:48.000 --> 48:52.000
|
||
|
|
it's extraordinary
|
||
|
|
|
||
|
|
48:52.000 --> 48:54.000
|
||
|
|
I don't know what to say
|
||
|
|
|
||
|
|
48:54.000 --> 48:56.000
|
||
|
|
but anyway the point is
|
||
|
|
|
||
|
|
48:56.000 --> 48:58.000
|
||
|
|
if you imagine that every person that you encounter
|
||
|
|
|
||
|
|
48:58.000 --> 49:00.000
|
||
|
|
is if you could look above their heads and there was a number
|
||
|
|
|
||
|
|
49:00.000 --> 49:02.000
|
||
|
|
that indicated the degree to which the grave was pulling on them
|
||
|
|
|
||
|
|
49:02.000 --> 49:06.000
|
||
|
|
then you would say well if you were to administer a toxin broadly across
|
||
|
|
|
||
|
|
49:06.000 --> 49:08.000
|
||
|
|
all of them some of them that number
|
||
|
|
|
||
|
|
49:08.000 --> 49:10.000
|
||
|
|
at which the grave is pulling towards them is so high
|
||
|
|
|
||
|
|
49:10.000 --> 49:12.000
|
||
|
|
that it won't take very much right now that's the same thing
|
||
|
|
|
||
|
|
49:12.000 --> 49:14.000
|
||
|
|
that we likely see in the seasonal pattern
|
||
|
|
|
||
|
|
49:14.000 --> 49:16.000
|
||
|
|
right if you're very very close to death
|
||
|
|
|
||
|
|
49:16.000 --> 49:18.000
|
||
|
|
then you know the insults that come along with winter
|
||
|
|
|
||
|
|
49:18.000 --> 49:20.000
|
||
|
|
right might be enough to do it
|
||
|
|
|
||
|
|
49:20.000 --> 49:22.000
|
||
|
|
if you're very healthy and young then it's not going to
|
||
|
|
|
||
|
|
49:22.000 --> 49:24.000
|
||
|
|
and so in any case I think
|
||
|
|
|
||
|
|
49:24.000 --> 49:26.000
|
||
|
|
in part we are
|
||
|
|
|
||
|
|
49:26.000 --> 49:28.000
|
||
|
|
we are
|
||
|
|
|
||
|
|
49:28.000 --> 49:30.000
|
||
|
|
hampered in our ability to understand what's going on
|
||
|
|
|
||
|
|
49:30.000 --> 49:32.000
|
||
|
|
because death is such a focus
|
||
|
|
|
||
|
|
49:32.000 --> 49:34.000
|
||
|
|
and the problem is death is a binary thing
|
||
|
|
|
||
|
|
49:34.000 --> 49:36.000
|
||
|
|
whereas damage is not
|
||
|
|
|
||
|
|
49:36.000 --> 49:38.000
|
||
|
|
right so to the extent that something damaging
|
||
|
|
|
||
|
|
49:38.000 --> 49:40.000
|
||
|
|
has been released on the public and that that is measurable
|
||
|
|
|
||
|
|
49:40.000 --> 49:42.000
|
||
|
|
in the death of people who were close enough
|
||
|
|
|
||
|
|
49:42.000 --> 49:44.000
|
||
|
|
in proximity to the grave
|
||
|
|
|
||
|
|
49:44.000 --> 49:46.000
|
||
|
|
that it pushed them over the edge right
|
||
|
|
|
||
|
|
49:46.000 --> 49:48.000
|
||
|
|
and it will very rarely get somebody who's perfectly healthy
|
||
|
|
|
||
|
|
49:48.000 --> 49:50.000
|
||
|
|
and it will very frequently get people who were headed that direction
|
||
|
|
|
||
|
|
49:50.000 --> 49:52.000
|
||
|
|
anyway and you know so we need
|
||
|
|
|
||
|
|
49:52.000 --> 49:54.000
|
||
|
|
we need a better toolkit to think about these things
|
||
|
|
|
||
|
|
49:54.000 --> 49:56.000
|
||
|
|
but my larger point is
|
||
|
|
|
||
|
|
49:56.000 --> 49:58.000
|
||
|
|
if you anecdotally think that you're seeing a pattern
|
||
|
|
|
||
|
|
49:58.000 --> 50:00.000
|
||
|
|
you're being denied information on what that pattern is
|
||
|
|
|
||
|
|
50:00.000 --> 50:02.000
|
||
|
|
you're not allowed to know what these people died of
|
||
|
|
|
||
|
|
50:02.000 --> 50:04.000
|
||
|
|
therefore if you start saying
|
||
|
|
|
||
|
|
50:04.000 --> 50:06.000
|
||
|
|
oh it's another died suddenly and somebody says aha
|
||
|
|
|
||
|
|
50:06.000 --> 50:08.000
|
||
|
|
this person was sick for seven years it's not a died suddenly
|
||
|
|
|
||
|
|
50:08.000 --> 50:10.000
|
||
|
|
as a result of these inoculations because they were sick long
|
||
|
|
|
||
|
|
50:10.000 --> 50:12.000
|
||
|
|
before these inoculations had ever been given to anybody
|
||
|
|
|
||
|
|
50:12.000 --> 50:14.000
|
||
|
|
okay you went but
|
||
|
|
|
||
|
|
50:14.000 --> 50:16.000
|
||
|
|
but if you were interested in figuring out okay
|
||
|
|
|
||
|
|
50:16.000 --> 50:18.000
|
||
|
|
to what degree were these things causing that arm
|
||
|
|
|
||
|
|
50:18.000 --> 50:20.000
|
||
|
|
is the fact that I seem to be seeing
|
||
|
|
|
||
|
|
50:20.000 --> 50:22.000
|
||
|
|
not only anomalies in the number of people who seem to be dying
|
||
|
|
|
||
|
|
50:22.000 --> 50:24.000
|
||
|
|
but also tragically
|
||
|
|
|
||
|
|
50:24.000 --> 50:26.000
|
||
|
|
the number of people who seem to be
|
||
|
|
|
||
|
|
50:26.000 --> 50:29.000
|
||
|
|
serious disruptions of pregnancy
|
||
|
|
|
||
|
|
50:29.000 --> 50:31.000
|
||
|
|
yeah right so you know again
|
||
|
|
|
||
|
|
50:31.000 --> 50:33.000
|
||
|
|
do they happen under normal circumstances of course
|
||
|
|
|
||
|
|
50:33.000 --> 50:36.000
|
||
|
|
now what he's suggesting is that you could use all cause mortality
|
||
|
|
|
||
|
|
50:36.000 --> 50:39.000
|
||
|
|
to answer some of these questions about you know
|
||
|
|
|
||
|
|
50:39.000 --> 50:42.000
|
||
|
|
are these things being caused by a new
|
||
|
|
|
||
|
|
50:42.000 --> 50:46.000
|
||
|
|
thing on the loose as he said
|
||
|
|
|
||
|
|
50:46.000 --> 50:49.000
|
||
|
|
so he's still not being very very precise here
|
||
|
|
|
||
|
|
50:49.000 --> 50:51.000
|
||
|
|
although I think for most listeners
|
||
|
|
|
||
|
|
50:51.000 --> 50:55.000
|
||
|
|
you would surmise that he's mostly talking about the shots right now
|
||
|
|
|
||
|
|
50:55.000 --> 50:59.000
|
||
|
|
but what's really crazy about it is
|
||
|
|
|
||
|
|
50:59.000 --> 51:03.000
|
||
|
|
is that he doesn't even think about the possibility of re
|
||
|
|
|
||
|
|
51:03.000 --> 51:07.000
|
||
|
|
assessing whether there was indeed a spreading
|
||
|
|
|
||
|
|
51:07.000 --> 51:11.000
|
||
|
|
novel pathogen that was a new source of death in 2020
|
||
|
|
|
||
|
|
51:11.000 --> 51:15.000
|
||
|
|
using the exact same analysis
|
||
|
|
|
||
|
|
51:15.000 --> 51:19.000
|
||
|
11 months ago
|
even though Denis has done it for him
|
||
|
12 months ago
|
|
||
|
|
51:19.000 --> 51:23.000
|
||
|
|
in his own country of the United States
|
||
|
|
|
||
|
|
51:24.000 --> 51:28.000
|
||
|
|
and so while he's very happy
|
||
|
|
|
||
|
|
51:28.000 --> 51:32.000
|
||
|
|
to tell you that all cause mortality seems to have revealed a signal
|
||
|
|
|
||
|
|
51:32.000 --> 51:37.000
|
||
|
|
that shows that these mRNA shots may be responsible for injuring people
|
||
|
|
|
||
|
|
51:37.000 --> 51:42.000
|
||
|
|
he's not at all interested in how this same analysis has revealed
|
||
|
|
|
||
|
|
51:42.000 --> 51:46.000
|
||
|
|
the lack of geographic spread around the world
|
||
|
|
|
||
|
|
51:46.000 --> 51:50.000
|
||
|
|
and the lack of an actual respiratory disease
|
||
|
|
|
||
|
|
51:50.000 --> 51:52.000
|
||
|
|
killing anybody
|
||
|
|
|
||
|
|
51:53.000 --> 51:55.000
|
||
|
|
he doesn't see it
|
||
|
|
|
||
|
|
51:57.000 --> 52:00.000
|
||
|
|
and in a lot of ways that's a more significant finding
|
||
|
|
|
||
|
|
52:00.000 --> 52:02.000
|
||
|
|
than the deaths due to the shots
|
||
|
|
|
||
|
|
52:02.000 --> 52:05.000
|
||
|
|
it's what he succinctly described
|
||
|
|
|
||
|
|
52:05.000 --> 52:08.000
|
||
|
|
on the Iverson show
|
||
|
|
|
||
|
|
52:08.000 --> 52:12.000
|
||
|
11 months ago
|
Denis crushed it on the Iverson show
|
||
|
12 months ago
|
|
||
|
|
52:14.000 --> 52:17.000
|
||
|
|
apparently Brett didn't get the memo
|
||
|
|
|
||
|
|
52:17.000 --> 52:20.000
|
||
|
|
probably some of that normally happening during normal circumstances
|
||
|
|
|
||
|
|
52:20.000 --> 52:23.000
|
||
|
|
is actually the result of other novel phenomena toxins in the environment
|
||
|
|
|
||
|
|
52:23.000 --> 52:26.000
|
||
|
|
who knows metabolic diseases whatever the novel influences are
|
||
|
|
|
||
|
|
52:26.000 --> 52:29.000
|
||
|
|
and then there would be an ancestral environment that was free of all those novel influences
|
||
|
|
|
||
|
|
52:29.000 --> 52:31.000
|
||
|
|
presumably a very tiny rate of those things
|
||
|
|
|
||
|
|
52:31.000 --> 52:34.000
|
||
|
|
why in large measure because the body is built
|
||
|
|
|
||
|
|
52:34.000 --> 52:38.000
|
||
|
|
to not invest in projects that are fatally compromised
|
||
|
|
|
||
|
|
52:38.000 --> 52:42.000
|
||
|
|
and so there's a very high rate of spontaneous abortion
|
||
|
|
|
||
|
|
52:42.000 --> 52:45.000
|
||
|
|
which presumably is a result of the fact that the body is
|
||
|
|
|
||
|
|
52:45.000 --> 52:47.000
|
||
|
|
looking at a pregnancy that's underway
|
||
|
|
|
||
|
|
52:47.000 --> 52:50.000
|
||
|
|
and deciding whether it's a good enough benefit for you to invest in it
|
||
|
|
|
||
|
|
52:50.000 --> 52:52.000
|
||
|
|
so anyway there are elegant systems in the body
|
||
|
|
|
||
|
|
52:52.000 --> 52:53.000
|
||
|
|
they're disrupted by novelty
|
||
|
|
|
||
|
|
52:53.000 --> 52:57.000
|
||
|
|
the fact that the public health campaign appears to have created
|
||
|
|
|
||
|
|
52:57.000 --> 53:01.000
|
||
|
|
a huge quantity of excess death
|
||
|
|
|
||
|
|
53:01.000 --> 53:03.000
|
||
|
|
something like 17 million people globally
|
||
|
|
|
||
|
|
53:03.000 --> 53:06.000
|
||
|
|
and that's not even the cost of the public health campaign
|
||
|
|
|
||
|
|
53:06.000 --> 53:11.000
|
||
|
|
that is the parent vaccine induced deaths to date
|
||
|
|
|
||
|
|
53:11.000 --> 53:13.000
|
||
|
|
so think about in light of the model we've just before
|
||
|
|
|
||
|
|
53:13.000 --> 53:15.000
|
||
|
|
think about what that actually implies
|
||
|
|
|
||
|
|
53:15.000 --> 53:18.000
|
||
|
|
if damage was done by these inoculations
|
||
|
|
|
||
|
|
53:18.000 --> 53:21.000
|
||
|
|
to a large fraction of the people who received them
|
||
|
|
|
||
|
|
53:21.000 --> 53:24.000
|
||
|
|
and some small fraction of those people were being pulled towards the grave
|
||
|
|
|
||
|
|
53:24.000 --> 53:26.000
|
||
|
|
at a strong enough level that they disappeared
|
||
|
|
|
||
|
|
53:26.000 --> 53:28.000
|
||
|
|
and they ended up in our statistics
|
||
|
|
|
||
|
|
53:28.000 --> 53:31.000
|
||
|
|
then the question is how many years of life are people actually being robbed of
|
||
|
|
|
||
|
|
53:31.000 --> 53:34.000
|
||
|
|
what's the net effect and what is the total number of excess deaths
|
||
|
|
|
||
|
|
53:34.000 --> 53:38.000
|
||
|
|
that will ultimately be attributable to this public health campaign
|
||
|
|
|
||
|
|
53:38.000 --> 53:40.000
|
||
|
|
so all of those things are interesting
|
||
|
|
|
||
|
|
53:40.000 --> 53:43.000
|
||
|
|
in addition to the deaths that were the result of other interventions
|
||
|
|
|
||
|
|
53:43.000 --> 53:46.000
|
||
|
|
that were mandated ventilators
|
||
|
|
|
||
|
|
53:46.000 --> 53:48.000
|
||
|
|
and then there's the question of even more difficult questions
|
||
|
|
|
||
|
|
53:48.000 --> 53:50.000
|
||
|
|
I don't exactly know how you study it
|
||
|
|
|
||
|
|
53:50.000 --> 53:52.000
|
||
|
|
but there's the question of
|
||
|
|
|
||
|
|
53:52.000 --> 53:54.000
|
||
|
|
given the treatments that turn out to work
|
||
|
|
|
||
|
|
53:54.000 --> 53:55.000
|
||
|
|
that were denied to people
|
||
|
|
|
||
|
|
53:55.000 --> 53:57.000
|
||
|
|
in order presumably to get them to accept
|
||
|
|
|
||
|
|
53:57.000 --> 53:59.000
|
||
|
|
and here we go, hydroxychloroquine and ivermaculations
|
||
|
|
|
||
|
|
53:59.000 --> 54:02.000
|
||
|
|
what would the number of excess deaths have been
|
||
|
|
|
||
|
|
54:02.000 --> 54:04.000
|
||
|
|
how much lower would the excess mortality rate be
|
||
|
|
|
||
|
|
54:04.000 --> 54:07.000
|
||
|
|
had drugs like ivermectin and hydroxychloroquine
|
||
|
|
|
||
|
|
54:07.000 --> 54:09.000
|
||
|
|
been administered more frequently
|
||
|
|
|
||
|
|
54:09.000 --> 54:11.000
|
||
|
|
which is believable
|
||
|
|
|
||
|
|
54:11.000 --> 54:13.000
|
||
|
|
which is the fact that rain court says in rain court
|
||
|
|
|
||
|
|
54:13.000 --> 54:18.000
|
||
|
|
which is that you actually do not see a spike of excess deaths
|
||
|
|
|
||
|
|
54:18.000 --> 54:20.000
|
||
|
|
that are related to covid
|
||
|
|
|
||
|
|
54:20.000 --> 54:23.000
|
||
|
|
that they seem to be related to the measures that were mandated
|
||
|
|
|
||
|
|
54:23.000 --> 54:25.000
|
||
|
|
in the aftermath of its announcement
|
||
|
|
|
||
|
|
54:25.000 --> 54:27.000
|
||
|
|
right on this I mean
|
||
|
|
|
||
|
|
54:27.000 --> 54:28.000
|
||
|
|
what did
|
||
|
|
|
||
|
|
54:28.000 --> 54:31.000
|
||
|
|
okay so what does that mean Brett
|
||
|
|
|
||
|
|
54:31.000 --> 54:33.000
|
||
|
|
are you going to draw the conclusion
|
||
|
|
|
||
|
|
54:33.000 --> 54:36.000
|
||
|
|
that there wasn't a spreading pathogen then or not
|
||
|
|
|
||
|
|
54:36.000 --> 54:38.000
|
||
|
|
are you going to draw the conclusion
|
||
|
|
|
||
|
|
54:38.000 --> 54:40.000
|
||
|
11 months ago
|
that Denis drew
|
||
|
12 months ago
|
|
||
|
|
54:40.000 --> 54:42.000
|
||
|
|
that he most assuredly said to you
|
||
|
|
|
||
|
|
54:42.000 --> 54:44.000
|
||
|
|
in your face in Romania
|
||
|
|
|
||
|
|
54:44.000 --> 54:46.000
|
||
|
|
on his talk
|
||
|
|
|
||
|
|
54:46.000 --> 54:48.000
|
||
|
|
on the screen
|
||
|
|
|
||
|
|
54:48.000 --> 54:50.000
|
||
|
|
in that empty hall
|
||
|
|
|
||
|
|
54:50.000 --> 54:53.000
|
||
|
|
I mean are we joking here
|
||
|
|
|
||
|
|
54:53.000 --> 54:55.000
|
||
|
|
did they just say it
|
||
|
|
|
||
|
|
54:55.000 --> 54:57.000
|
||
|
|
like ventilators and stuff
|
||
|
|
|
||
|
|
54:57.000 --> 54:59.000
|
||
|
11 months ago
|
and actually Denis doesn't see
|
||
|
12 months ago
|
|
||
|
|
54:59.000 --> 55:02.000
|
||
|
|
evidence of a particularly dangerous respiratory disease
|
||
|
|
|
||
|
|
55:02.000 --> 55:04.000
|
||
|
|
but it looks like it is the interventions
|
||
|
|
|
||
|
|
55:04.000 --> 55:06.000
|
||
|
|
that killed people
|
||
|
|
|
||
|
|
55:06.000 --> 55:10.000
|
||
|
|
and so that means that we didn't need the shot at all
|
||
|
|
|
||
|
|
55:10.000 --> 55:13.000
|
||
|
|
that means everybody that was waxing intellectual about bushmeat
|
||
|
|
|
||
|
|
55:13.000 --> 55:16.000
|
||
|
|
being the possible source of this virus
|
||
|
|
|
||
|
|
55:16.000 --> 55:18.000
|
||
|
|
is guilty
|
||
|
|
|
||
|
|
55:18.000 --> 55:20.000
|
||
|
|
of making a very big mistake
|
||
|
|
|
||
|
|
55:20.000 --> 55:22.000
|
||
|
|
with their very big platform
|
||
|
|
|
||
|
|
55:22.000 --> 55:24.000
|
||
|
|
pushing a very big mythology
|
||
|
|
|
||
|
|
55:24.000 --> 55:28.000
|
||
|
|
that killed a lot of very very very very very big numbers of people
|
||
|
|
|
||
|
|
55:28.000 --> 55:32.000
|
||
|
|
they get that vaccine to us very very fast
|
||
|
|
|
||
|
|
55:32.000 --> 55:34.000
|
||
|
|
and how did they
|
||
|
|
|
||
|
|
55:34.000 --> 55:36.000
|
||
|
|
been able to put together a story
|
||
|
|
|
||
|
|
55:36.000 --> 55:38.000
|
||
|
|
in which the vaccine arrived exactly
|
||
|
|
|
||
|
|
55:38.000 --> 55:40.000
|
||
|
|
coincident with the virus
|
||
|
|
|
||
|
|
55:40.000 --> 55:42.000
|
||
|
|
then we would not have the control group
|
||
|
|
|
||
|
|
55:42.000 --> 55:44.000
|
||
|
|
and we could not say this is excess mortality from COVID
|
||
|
|
|
||
|
|
55:44.000 --> 55:46.000
|
||
|
|
which is to say oops 2020
|
||
|
|
|
||
|
|
55:46.000 --> 55:48.000
|
||
|
|
basically nothing and this is so if the vaccine
|
||
|
|
|
||
|
|
55:48.000 --> 55:50.000
|
||
|
|
would have been available when the pandemic happened
|
||
|
|
|
||
|
|
55:50.000 --> 55:52.000
|
||
|
|
then we wouldn't have a control group
|
||
|
|
|
||
|
|
55:52.000 --> 55:54.000
|
||
|
|
why is that?
|
||
|
|
|
||
|
|
55:54.000 --> 55:56.000
|
||
|
|
why wouldn't we have a control group then
|
||
|
|
|
||
|
|
55:56.000 --> 55:58.000
|
||
|
|
we are telling stories
|
||
|
|
|
||
|
|
55:58.000 --> 56:00.000
|
||
|
|
here ladies and gentlemen this is a mythology
|
||
|
|
|
||
|
|
56:00.000 --> 56:02.000
|
||
|
|
being laid down and not even very accurately
|
||
|
|
|
||
|
|
56:02.000 --> 56:04.000
|
||
|
|
or congruently
|
||
|
|
|
||
|
|
56:04.000 --> 56:07.000
|
||
|
|
it's falling apart very rapidly here
|
||
|
|
|
||
|
|
56:07.000 --> 56:09.000
|
||
|
|
because they are maintaining a faith
|
||
|
|
|
||
|
|
56:09.000 --> 56:11.000
|
||
|
|
in something that doesn't exist
|
||
|
|
|
||
|
|
56:11.000 --> 56:13.000
|
||
|
|
and they are inverting
|
||
|
|
|
||
|
|
56:13.000 --> 56:15.000
|
||
|
|
what happened in 2020
|
||
|
|
|
||
|
|
56:15.000 --> 56:18.000
|
||
|
|
into a health crisis that never occurred
|
||
|
|
|
||
|
|
56:18.000 --> 56:22.000
|
||
|
|
isolated mass casualty events
|
||
|
|
|
||
|
|
56:22.000 --> 56:24.000
|
||
|
|
were misconstrued
|
||
|
|
|
||
|
|
56:24.000 --> 56:26.000
|
||
|
|
as the spread of a novel pathogen
|
||
|
|
|
||
|
|
56:26.000 --> 56:28.000
|
||
|
|
that never manifested itself
|
||
|
|
|
||
|
|
56:28.000 --> 56:30.000
|
||
|
|
but instead
|
||
|
|
|
||
|
|
56:30.000 --> 56:32.000
|
||
|
|
numbers were generated through the application
|
||
|
|
|
||
|
|
56:32.000 --> 56:34.000
|
||
|
|
of protocols via financial incentives
|
||
|
|
|
||
|
|
56:34.000 --> 56:36.000
|
||
|
|
from the top down
|
||
|
|
|
||
|
|
56:36.000 --> 56:40.000
|
||
|
|
and because senior doctors were sent home
|
||
|
|
|
||
|
|
56:40.000 --> 56:44.000
|
||
|
|
and because hospitals in the United States
|
||
|
|
|
||
|
|
56:44.000 --> 56:46.000
|
||
|
|
are run by administrators
|
||
|
|
|
||
|
|
56:46.000 --> 56:50.000
|
||
|
|
and residents were called to run
|
||
|
|
|
||
|
|
56:50.000 --> 56:52.000
|
||
|
|
the hospitals
|
||
|
|
|
||
|
|
56:52.000 --> 56:54.000
|
||
|
|
under manned and understaffed
|
||
|
|
|
||
|
|
56:54.000 --> 56:56.000
|
||
|
|
these protocols were enacted
|
||
|
|
|
||
|
|
56:56.000 --> 56:58.000
|
||
|
|
and people were killed
|
||
|
|
|
||
|
|
56:58.000 --> 57:02.000
|
||
|
|
because antibiotics don't work on a viral pneumonia
|
||
|
|
|
||
|
|
57:02.000 --> 57:06.000
|
||
|
|
because steroids aren't appropriate for COVID
|
||
|
|
|
||
|
|
57:06.000 --> 57:08.000
|
||
|
|
because ventilators at a high setting
|
||
|
|
|
||
|
|
57:08.000 --> 57:10.000
|
||
|
|
is what the CDC said to do
|
||
|
|
|
||
|
|
57:10.000 --> 57:14.000
|
||
|
|
and we are running out of ventilators
|
||
|
|
|
||
|
|
57:14.000 --> 57:16.000
|
||
|
|
and these people went along with it
|
||
|
|
|
||
|
|
57:16.000 --> 57:18.000
|
||
|
|
and they are still going along with it
|
||
|
|
|
||
|
|
57:18.000 --> 57:20.000
|
||
|
|
because they are not talking about it
|
||
|
|
|
||
|
|
57:20.000 --> 57:24.000
|
||
|
|
because they said ventilators under their breath
|
||
|
|
|
||
|
|
57:24.000 --> 57:26.000
|
||
|
|
because they are not talking about all the other ways
|
||
|
|
|
||
|
|
57:26.000 --> 57:28.000
|
||
|
|
that people were killed
|
||
|
|
|
||
|
|
57:28.000 --> 57:30.000
|
||
|
|
and how excess deaths
|
||
|
|
|
||
|
|
57:30.000 --> 57:32.000
|
||
|
|
are being tallied to one or two causes
|
||
|
|
|
||
|
|
57:32.000 --> 57:34.000
|
||
|
|
the virus
|
||
|
|
|
||
|
|
57:34.000 --> 57:36.000
|
||
|
|
or the shot
|
||
|
|
|
||
|
|
57:36.000 --> 57:38.000
|
||
|
|
not to suicide
|
||
|
|
|
||
|
|
57:38.000 --> 57:40.000
|
||
|
|
not to malnutrition
|
||
|
|
|
||
|
|
57:40.000 --> 57:42.000
|
||
|
|
not to loneliness
|
||
|
|
|
||
|
|
57:42.000 --> 57:44.000
|
||
|
|
not to isolation
|
||
|
|
|
||
|
|
57:44.000 --> 57:46.000
|
||
|
|
not to opioid overdose
|
||
|
|
|
||
|
|
57:46.000 --> 57:48.000
|
||
|
|
and lack of resuscitation
|
||
|
|
|
||
|
|
57:48.000 --> 57:50.000
|
||
|
|
not DNR notices
|
||
|
|
|
||
|
|
57:50.000 --> 57:52.000
|
||
|
|
in places around the world
|
||
|
|
|
||
|
|
57:52.000 --> 57:54.000
|
||
|
|
none of these things
|
||
|
|
|
||
|
|
57:54.000 --> 57:56.000
|
||
|
|
are being tallied on their whiteboard
|
||
|
|
|
||
|
|
57:56.000 --> 57:58.000
|
||
|
|
the shot
|
||
|
|
|
||
|
|
57:58.000 --> 58:02.000
|
||
|
|
and the deadly virus
|
||
|
|
|
||
|
|
58:02.000 --> 58:04.000
|
||
|
|
that's it
|
||
|
|
|
||
|
|
58:04.000 --> 58:06.000
|
||
|
|
and then very imprecise language about
|
||
|
|
|
||
|
|
58:06.000 --> 58:08.000
|
||
|
|
a new cause of death being loose
|
||
|
|
|
||
|
|
58:08.000 --> 58:10.000
|
||
|
|
on the world
|
||
|
|
|
||
|
|
58:14.000 --> 58:16.000
|
||
|
|
if you can't see it
|
||
|
|
|
||
|
|
58:16.000 --> 58:18.000
|
||
|
|
I feel bad for you
|
||
|
|
|
||
|
|
58:18.000 --> 58:22.000
|
||
|
|
if you are still trying to
|
||
|
|
|
||
|
|
58:22.000 --> 58:24.000
|
||
|
|
look away
|
||
|
|
|
||
|
|
58:24.000 --> 58:28.000
|
||
|
|
from the fact that the only way this could happen
|
||
|
|
|
||
|
|
58:28.000 --> 58:30.000
|
||
|
|
the only form
|
||
|
|
|
||
|
|
58:30.000 --> 58:32.000
|
||
|
|
of fifth-generation warfare
|
||
|
|
|
||
|
|
58:32.000 --> 58:34.000
|
||
|
|
you need to worry about is people
|
||
|
|
|
||
|
|
58:34.000 --> 58:36.000
|
||
|
|
participating in the governance structure
|
||
|
|
|
||
|
|
58:36.000 --> 58:38.000
|
||
|
|
willingly
|
||
|
|
|
||
|
|
58:38.000 --> 58:42.000
|
||
|
|
and these people were sat down in a room
|
||
|
|
|
||
|
|
58:42.000 --> 58:44.000
|
||
|
|
and told that this is how
|
||
|
|
|
||
|
|
58:44.000 --> 58:46.000
|
||
|
|
this is going to go down
|
||
|
|
|
||
|
|
58:46.000 --> 58:48.000
|
||
|
|
these are the events that are going to come
|
||
|
|
|
||
|
|
58:48.000 --> 58:50.000
|
||
|
|
in the future
|
||
|
|
|
||
|
|
58:50.000 --> 58:52.000
|
||
|
|
if you want to be a part
|
||
|
|
|
||
|
|
58:52.000 --> 58:54.000
|
||
|
|
of the governance structure
|
||
|
|
|
||
|
|
58:54.000 --> 58:56.000
|
||
|
|
that orchestrates these coming events
|
||
|
|
|
||
|
|
58:56.000 --> 58:58.000
|
||
|
|
these coming changes
|
||
|
|
|
||
|
|
58:58.000 --> 59:00.000
|
||
|
|
these coming metamorphoses for our society
|
||
|
|
|
||
|
|
59:00.000 --> 59:02.000
|
||
|
|
this is what you got to do
|
||
|
|
|
||
|
|
59:02.000 --> 59:04.000
|
||
|
|
this is the narrative you got to sell
|
||
|
|
|
||
|
|
59:04.000 --> 59:06.000
|
||
|
|
the more successful you are
|
||
|
|
|
||
|
|
59:06.000 --> 59:08.000
|
||
|
|
it's selling the narrative the more there are
|
||
|
|
|
||
|
|
59:08.000 --> 59:10.000
|
||
|
|
algorithms will raise your star
|
||
|
|
|
||
|
|
59:10.000 --> 59:12.000
|
||
|
|
here's your job
|
||
|
|
|
||
|
|
59:12.000 --> 59:14.000
|
||
|
|
here's your salary
|
||
|
|
|
||
|
|
59:14.000 --> 59:18.000
|
||
|
|
go and do it
|
||
|
|
|
||
|
|
59:18.000 --> 59:20.000
|
||
|
|
and there are different levels and different layers
|
||
|
|
|
||
|
|
59:20.000 --> 59:22.000
|
||
|
|
of this there are different players
|
||
|
|
|
||
|
|
59:22.000 --> 59:24.000
|
||
|
|
in this there are different competing
|
||
|
|
|
||
|
|
59:24.000 --> 59:26.000
|
||
|
|
interests in this but all these competing
|
||
|
|
|
||
|
|
59:26.000 --> 59:28.000
|
||
|
|
interests have
|
||
|
|
|
||
|
|
59:28.000 --> 59:32.000
|
||
|
|
a real vested
|
||
|
|
|
||
|
|
59:34.000 --> 59:38.000
|
||
|
|
they really need this narrative to continue
|
||
|
|
|
||
|
|
59:38.000 --> 59:40.000
|
||
|
|
they're doubled and tripled down because
|
||
|
|
|
||
|
|
59:40.000 --> 59:42.000
|
||
|
|
they thought they could get us all in
|
||
|
|
|
||
|
|
59:42.000 --> 59:44.000
|
||
|
|
and we're not all in
|
||
|
|
|
||
|
|
59:44.000 --> 59:46.000
|
||
|
|
and now they have a very big problem
|
||
|
|
|
||
|
|
59:46.000 --> 59:48.000
|
||
|
|
on their hands
|
||
|
|
|
||
|
|
59:48.000 --> 59:50.000
|
||
|
|
because this is not a lie they can undo
|
||
|
|
|
||
|
|
59:50.000 --> 59:52.000
|
||
|
|
it's not a lie they can back out of
|
||
|
|
|
||
|
|
59:52.000 --> 59:54.000
|
||
|
|
until the past is erased
|
||
|
|
|
||
|
|
59:54.000 --> 59:56.000
|
||
|
|
and forgotten
|
||
|
|
|
||
|
|
59:56.000 --> 59:58.000
|
||
|
|
as long as the past is still in video
|
||
|
|
|
||
|
|
59:58.000 --> 01:00:00.000
|
||
|
|
as long as we can still see
|
||
|
|
|
||
|
|
01:00:00.000 --> 01:00:02.000
|
||
|
|
and listen to the eighth podcast
|
||
|
|
|
||
|
|
01:00:02.000 --> 01:00:04.000
|
||
|
|
of Brett Weinstein
|
||
|
|
|
||
|
|
01:00:04.000 --> 01:00:06.000
|
||
|
|
in December of 2019
|
||
|
|
|
||
|
|
01:00:06.000 --> 01:00:08.000
|
||
|
|
Sam Harris agree
|
||
|
|
|
||
|
|
01:00:08.000 --> 01:00:10.000
|
||
|
|
that when the real big pandemic comes
|
||
|
|
|
||
|
|
01:00:10.000 --> 01:00:12.000
|
||
|
|
there won't be any room to tolerate
|
||
|
|
|
||
|
|
01:00:12.000 --> 01:00:14.000
|
||
|
|
the anti-vax mentality
|
||
|
|
|
||
|
|
01:00:14.000 --> 01:00:16.000
|
||
|
|
as long as that video
|
||
|
|
|
||
|
|
01:00:16.000 --> 01:00:18.000
|
||
|
|
and that audio exists
|
||
|
|
|
||
|
|
01:00:18.000 --> 01:00:20.000
|
||
|
|
there is evidence for what
|
||
|
|
|
||
|
|
01:00:20.000 --> 01:00:22.000
|
||
|
|
has been done to us
|
||
|
|
|
||
|
|
01:00:22.000 --> 01:00:24.000
|
||
|
|
as long as the video
|
||
|
|
|
||
|
|
01:00:24.000 --> 01:00:26.000
|
||
|
|
evidence of Robert Malone
|
||
|
|
|
||
|
|
01:00:26.000 --> 01:00:28.000
|
||
|
|
being on a stream
|
||
|
|
|
||
|
|
01:00:28.000 --> 01:00:30.000
|
||
|
|
with Paul Cottrell exists
|
||
|
|
|
||
|
|
01:00:30.000 --> 01:00:32.000
|
||
|
|
then there is evidence for how this was done
|
||
|
|
|
||
|
|
01:00:32.000 --> 01:00:34.000
|
||
|
|
as long as there is video
|
||
|
|
|
||
|
|
01:00:34.000 --> 01:00:36.000
|
||
|
|
and audio evidence of George Webb saying
|
||
|
|
|
||
|
|
01:00:36.000 --> 01:00:38.000
|
||
|
|
that the greatest hero of the pandemic
|
||
|
|
|
||
|
|
01:00:38.000 --> 01:00:40.000
|
||
|
|
is Paul Cottrell
|
||
|
|
|
||
|
|
01:00:40.000 --> 01:00:42.000
|
||
|
|
there is evidence for the team
|
||
|
|
|
||
|
|
01:00:42.000 --> 01:00:44.000
|
||
|
|
of worst-case scenario people
|
||
|
|
|
||
|
|
01:00:44.000 --> 01:00:46.000
|
||
|
|
ceding that narrative
|
||
|
|
|
||
|
|
01:00:46.000 --> 01:00:48.000
|
||
|
|
of a Chinese lab leak
|
||
|
|
|
||
|
|
01:00:48.000 --> 01:00:50.000
|
||
|
|
from the very very beginning
|
||
|
|
|
||
|
|
01:00:50.000 --> 01:00:52.000
|
||
|
|
in a possible worst-case scenario
|
||
|
|
|
||
|
|
01:00:52.000 --> 01:00:54.000
|
||
|
|
to make sure
|
||
|
|
|
||
|
|
01:00:54.000 --> 01:00:56.000
|
||
|
|
that this train left the station
|
||
|
|
|
||
|
|
01:00:56.000 --> 01:00:58.000
|
||
|
|
without any doubt
|
||
|
|
|
||
|
|
01:01:00.000 --> 01:01:02.000
|
||
|
|
and these people
|
||
|
|
|
||
|
|
01:01:02.000 --> 01:01:04.000
|
||
|
|
were all in it.
|
||
|
|
|
||
|
|
01:01:04.000 --> 01:01:06.000
|
||
|
|
They are all complicit
|
||
|
|
|
||
|
|
01:01:06.000 --> 01:01:08.000
|
||
|
|
in the eventual murder of Americans
|
||
|
|
|
||
|
|
01:01:08.000 --> 01:01:10.000
|
||
|
|
and people around the world
|
||
|
|
|
||
|
|
01:01:10.000 --> 01:01:12.000
|
||
|
|
but particularly
|
||
|
|
|
||
|
|
01:01:12.000 --> 01:01:14.000
|
||
|
|
murder of Americans
|
||
|
|
|
||
|
|
01:01:14.000 --> 01:01:16.000
|
||
|
|
to seed the mass casualty events
|
||
|
|
|
||
|
|
01:01:16.000 --> 01:01:18.000
|
||
|
|
that could be misconstrued as spread
|
||
|
|
|
||
|
|
01:01:18.000 --> 01:01:20.000
|
||
|
|
and drive this narrative around the world
|
||
|
|
|
||
|
|
01:01:20.000 --> 01:01:22.000
|
||
|
|
with America at the front
|
||
|
|
|
||
|
|
01:01:22.000 --> 01:01:24.000
|
||
|
|
with the intention of getting
|
||
|
|
|
||
|
|
01:01:24.000 --> 01:01:26.000
|
||
|
|
all of the world to turn
|
||
|
|
|
||
|
|
01:01:26.000 --> 01:01:28.000
|
||
|
|
against us eventually
|
||
|
|
|
||
|
|
01:01:28.000 --> 01:01:30.000
|
||
|
|
for this very thing
|
||
|
|
|
||
|
|
01:01:30.000 --> 01:01:32.000
|
||
|
|
that Brett will be one of the people
|
||
|
|
|
||
|
|
01:01:32.000 --> 01:01:34.000
|
||
|
|
that leads the introspection
|
||
|
|
|
||
|
|
01:01:34.000 --> 01:01:36.000
|
||
|
|
of America
|
||
|
|
|
||
|
|
01:01:36.000 --> 01:01:38.000
|
||
|
|
where we finally realize
|
||
|
|
|
||
|
|
01:01:38.000 --> 01:01:40.000
|
||
|
|
that our past is something
|
||
|
|
|
||
|
|
01:01:40.000 --> 01:01:42.000
|
||
|
|
to be ashamed of
|
||
|
|
|
||
|
|
01:01:42.000 --> 01:01:44.000
|
||
|
|
and Brett will be the one who helps
|
||
|
|
|
||
|
|
01:01:44.000 --> 01:01:46.000
|
||
|
|
lead our way out of that, right?
|
||
|
|
|
||
|
|
01:01:46.000 --> 01:01:48.000
|
||
|
|
right into central bank
|
||
|
|
|
||
|
|
01:01:48.000 --> 01:01:50.000
|
||
|
|
digital currency
|
||
|
|
|
||
|
|
01:01:50.000 --> 01:01:52.000
|
||
|
|
of a global governance
|
||
|
|
|
||
|
|
01:01:52.000 --> 01:01:54.000
|
||
|
|
after a cyber attack
|
||
|
|
|
||
|
|
01:01:54.000 --> 01:01:56.000
|
||
|
|
that wipes out the banking system of America
|
||
|
|
|
||
|
|
01:01:56.000 --> 01:01:58.000
|
||
|
|
or some shit like that
|
||
|
|
|
||
|
|
01:01:58.000 --> 01:02:00.000
|
||
|
|
that's why they're so confident
|
||
|
|
|
||
|
|
01:02:00.000 --> 01:02:02.000
|
||
|
|
that's why they're so bold
|
||
|
|
|
||
|
|
01:02:02.000 --> 01:02:04.000
|
||
|
|
that's why they keep doubling down
|
||
|
|
|
||
|
|
01:02:04.000 --> 01:02:06.000
|
||
|
|
because something is coming
|
||
|
|
|
||
|
|
01:02:06.000 --> 01:02:08.000
|
||
|
|
and so I don't know how to say it any other way
|
||
|
|
|
||
|
|
01:02:08.000 --> 01:02:10.000
|
||
|
|
but just get ready
|
||
|
|
|
||
|
|
01:02:10.000 --> 01:02:12.000
|
||
|
|
get your things in order
|
||
|
|
|
||
|
|
01:02:12.000 --> 01:02:14.000
|
||
|
|
get to know your community
|
||
|
|
|
||
|
|
01:02:14.000 --> 01:02:16.000
|
||
|
|
get to know your neighbors
|
||
|
|
|
||
|
|
01:02:16.000 --> 01:02:18.000
|
||
|
|
get a radio
|
||
|
|
|
||
|
|
01:02:22.000 --> 01:02:24.000
|
||
|
|
I hope I'm wrong
|
||
|
|
|
||
|
|
01:02:24.000 --> 01:02:26.000
|
||
|
|
I hope it's many years yet
|
||
|
|
|
||
|
|
01:02:26.000 --> 01:02:28.000
|
||
|
|
for what's coming
|
||
|
|
|
||
|
|
01:02:28.000 --> 01:02:30.000
|
||
|
|
but the way that they double down
|
||
|
|
|
||
|
|
01:02:30.000 --> 01:02:32.000
|
||
|
|
on this narrative the way that they insist
|
||
|
|
|
||
|
|
01:02:32.000 --> 01:02:34.000
|
||
|
|
that this is the way it is
|
||
|
|
|
||
|
|
01:02:34.000 --> 01:02:36.000
|
||
|
|
it leads me to believe that
|
||
|
|
|
||
|
|
01:02:36.000 --> 01:02:38.000
|
||
|
|
the timer's running
|
||
|
|
|
||
|
|
01:02:38.000 --> 01:02:42.000
|
||
|
|
I'm just trying to be real
|
||
|
|
|
||
|
|
01:02:42.000 --> 01:02:44.000
|
||
|
|
I think the timer's running
|
||
|
|
|
||
|
|
01:02:44.000 --> 01:02:46.000
|
||
|
|
accessibility after
|
||
|
|
|
||
|
|
01:02:46.000 --> 01:02:48.000
|
||
|
|
the mRNA technology was deployed
|
||
|
|
|
||
|
|
01:02:48.000 --> 01:02:50.000
|
||
|
|
if those two things had shown up at the same moment
|
||
|
|
|
||
|
|
01:02:50.000 --> 01:02:52.000
|
||
|
|
we couldn't compare and all of this
|
||
|
|
|
||
|
|
01:02:52.000 --> 01:02:54.000
|
||
|
|
contributed to the disease
|
||
|
|
|
||
|
|
01:02:54.000 --> 01:02:56.000
|
||
|
|
there's further road we can go down
|
||
|
|
|
||
|
|
01:02:56.000 --> 01:02:58.000
|
||
|
|
but I think this is maybe a good place
|
||
|
|
|
||
|
|
01:02:58.000 --> 01:03:00.000
|
||
|
|
to put this on pause for now
|
||
|
|
|
||
|
|
01:03:00.000 --> 01:03:02.000
|
||
|
|
with the understanding
|
||
|
|
|
||
|
|
01:03:02.000 --> 01:03:04.000
|
||
|
|
that what we have done is we have taken the anecdotal experience
|
||
|
|
|
||
|
|
01:03:04.000 --> 01:03:06.000
|
||
|
|
of a person who doesn't know how to think about this
|
||
|
|
|
||
|
|
01:03:06.000 --> 01:03:08.000
|
||
|
|
we have talked about
|
||
|
|
|
||
|
|
01:03:08.000 --> 01:03:10.000
|
||
|
|
from that formulating a hypothesis that then is in need
|
||
|
|
|
||
|
|
01:03:10.000 --> 01:03:12.000
|
||
|
|
of a test and then the fact that that test
|
||
|
|
|
||
|
|
01:03:12.000 --> 01:03:14.000
|
||
|
|
can actually come in the form of large data sets that capture
|
||
|
|
|
||
|
|
01:03:14.000 --> 01:03:16.000
|
||
|
|
unambiguous events like death and show us
|
||
|
|
|
||
|
|
01:03:16.000 --> 01:03:18.000
|
||
|
|
that in fact whether or not this specific
|
||
|
|
|
||
|
|
01:03:18.000 --> 01:03:20.000
|
||
|
|
test that caused us to formulate that hypothesis
|
||
|
|
|
||
|
|
01:03:20.000 --> 01:03:22.000
|
||
|
|
were caused by this exact thing
|
||
|
|
|
||
|
|
01:03:22.000 --> 01:03:24.000
|
||
|
|
that they are completely consistent with the idea
|
||
|
|
|
||
|
|
01:03:24.000 --> 01:03:26.000
|
||
|
|
that there's a new force that is a hazard
|
||
|
|
|
||
|
|
01:03:26.000 --> 01:03:28.000
|
||
|
|
that we are justified in
|
||
|
|
|
||
|
|
01:03:28.000 --> 01:03:30.000
|
||
|
|
focusing our attention on these tests
|
||
|
|
|
||
|
|
01:03:30.000 --> 01:03:32.000
|
||
|
|
our morbid curiosity in this case is a survival instinct
|
||
|
|
|
||
|
|
01:03:32.000 --> 01:03:34.000
|
||
|
|
that's it it's a survival instinct
|
||
|
|
|
||
|
|
01:03:34.000 --> 01:03:36.000
|
||
|
|
and that to deny you the information that allows that survival instinct
|
||
|
|
|
||
|
|
01:03:36.000 --> 01:03:38.000
|
||
|
|
together appropriate information
|
||
|
|
|
||
|
|
01:03:38.000 --> 01:03:40.000
|
||
|
|
is a crime in and of itself
|
||
|
|
|
||
|
|
01:03:40.000 --> 01:03:42.000
|
||
|
|
so he basically said
|
||
|
|
|
||
|
|
01:03:42.000 --> 01:03:44.000
|
||
|
|
nothing he said nothing there
|
||
|
|
|
||
|
|
01:03:44.000 --> 01:03:46.000
|
||
|
|
as he tried to summarize this
|
||
|
|
|
||
|
|
01:03:46.000 --> 01:03:48.000
|
||
|
|
he said absolutely nothing
|
||
|
|
|
||
|
|
01:03:48.000 --> 01:03:50.000
|
||
|
|
and certainly not as clear as it could be said
|
||
|
|
|
||
|
|
01:03:50.000 --> 01:03:52.000
|
||
|
|
which is that all cause mortality
|
||
|
|
|
||
|
|
01:03:52.000 --> 01:03:54.000
|
||
|
|
is a way of checking predictions
|
||
|
|
|
||
|
|
01:03:54.000 --> 01:03:56.000
|
||
|
|
and there were two predictions made
|
||
|
|
|
||
|
|
01:03:56.000 --> 01:03:58.000
|
||
|
|
the first one was that a novel virus
|
||
|
|
|
||
|
|
01:03:58.000 --> 01:04:00.000
|
||
|
|
was circulating the globe starting in 2020
|
||
|
|
|
||
|
|
01:04:00.000 --> 01:04:04.000
|
||
|
|
and contributing another cause of death
|
||
|
|
|
||
|
|
01:04:04.000 --> 01:04:06.000
|
||
|
|
and those numbers didn't show up
|
||
|
|
|
||
|
|
01:04:06.000 --> 01:04:10.000
|
||
|
|
except for in limited geographic locations
|
||
|
|
|
||
|
|
01:04:10.000 --> 01:04:12.000
|
||
|
|
over very limited time periods
|
||
|
|
|
||
|
|
01:04:12.000 --> 01:04:14.000
|
||
|
|
and on the other hand
|
||
|
|
|
||
|
|
01:04:14.000 --> 01:04:16.000
|
||
|
|
after the rollout of the transition
|
||
|
|
|
||
|
|
01:04:16.000 --> 01:04:18.000
|
||
|
|
and on the other hand
|
||
|
|
|
||
|
|
01:04:18.000 --> 01:04:20.000
|
||
|
|
after the rollout of the transfection
|
||
|
|
|
||
|
|
01:04:20.000 --> 01:04:22.000
|
||
|
|
a more clear signal
|
||
|
|
|
||
|
|
01:04:22.000 --> 01:04:24.000
|
||
|
|
in all cause mortality rise
|
||
|
|
|
||
|
|
01:04:24.000 --> 01:04:26.000
|
||
|
|
was seen around the world
|
||
|
|
|
||
|
|
01:04:26.000 --> 01:04:28.000
|
||
|
|
coincident with it
|
||
|
|
|
||
|
|
01:04:28.000 --> 01:04:30.000
|
||
|
|
it's very easy to explain
|
||
|
|
|
||
|
|
01:04:30.000 --> 01:04:32.000
|
||
|
|
it's very easy to say it
|
||
|
|
|
||
|
|
01:04:32.000 --> 01:04:34.000
|
||
|
|
there was no evidence of spread of a respiratory pathogen
|
||
|
|
|
||
|
|
01:04:34.000 --> 01:04:36.000
|
||
|
|
there was evidence of mass casualty events
|
||
|
|
|
||
|
|
01:04:36.000 --> 01:04:38.000
|
||
|
|
that seemed to be correlated with
|
||
|
|
|
||
|
|
01:04:38.000 --> 01:04:40.000
|
||
|
|
the application of bad protocols
|
||
|
|
|
||
|
|
01:04:40.000 --> 01:04:42.000
|
||
|
|
which were not uniformly applied
|
||
|
|
|
||
|
|
01:04:42.000 --> 01:04:46.000
|
||
|
|
and
|
||
|
|
|
||
|
|
01:04:46.000 --> 01:04:50.000
|
||
|
|
and all cause mortality rise
|
||
|
|
|
||
|
|
01:04:50.000 --> 01:04:52.000
|
||
|
|
associated with the geographic
|
||
|
|
|
||
|
|
01:04:52.000 --> 01:04:54.000
|
||
|
|
outlay of transfection
|
||
|
|
|
||
|
|
01:04:54.000 --> 01:04:56.000
|
||
|
|
succinct
|
||
|
|
|
||
|
|
01:04:56.000 --> 01:04:58.000
|
||
|
|
simple
|
||
|
|
|
||
|
|
01:04:58.000 --> 01:05:00.000
|
||
|
|
two conclusions
|
||
|
|
|
||
|
|
01:05:00.000 --> 01:05:02.000
|
||
|
|
no spread
|
||
|
|
|
||
|
|
01:05:02.000 --> 01:05:04.000
|
||
|
|
shots are deadly
|
||
|
|
|
||
|
|
01:05:04.000 --> 01:05:06.000
|
||
|
|
it's really easy Brett
|
||
|
|
|
||
|
|
01:05:06.000 --> 01:05:08.000
|
||
|
|
you don't need an hour and forty minutes
|
||
|
|
|
||
|
|
01:05:08.000 --> 01:05:10.000
|
||
|
|
into your podcast
|
||
|
|
|
||
|
|
01:05:10.000 --> 01:05:12.000
|
||
|
|
but that's part of the obfuscation
|
||
|
|
|
||
|
|
01:05:12.000 --> 01:05:14.000
|
||
|
|
that he does so well
|
||
|
|
|
||
|
|
01:05:14.000 --> 01:05:16.000
|
||
|
|
that's what the intellectual dark web does so well
|
||
|
|
|
||
|
|
01:05:16.000 --> 01:05:18.000
|
||
|
|
it's a very lively debate
|
||
|
|
|
||
|
|
01:05:18.000 --> 01:05:20.000
|
||
|
|
inside of a limited spectrum
|
||
|
|
|
||
|
|
01:05:20.000 --> 01:05:24.000
|
||
|
|
that reinforces every single notion
|
||
|
|
|
||
|
|
01:05:24.000 --> 01:05:28.000
|
||
|
|
of the mythology that we are being governed by
|
||
|
|
|
||
|
|
01:05:28.000 --> 01:05:32.000
|
||
|
|
the mythology we are being governed by
|
||
|
|
|
||
|
|
01:05:32.000 --> 01:05:34.000
|
||
|
|
that I didn't see until
|
||
|
|
|
||
|
|
01:05:34.000 --> 01:05:36.000
|
||
|
|
very very recently
|
||
|
|
|
||
|
|
01:05:36.000 --> 01:05:38.000
|
||
|
|
that we all need to
|
||
|
|
|
||
|
|
01:05:38.000 --> 01:05:40.000
|
||
|
|
retrospectively just
|
||
|
|
|
||
|
|
01:05:40.000 --> 01:05:42.000
|
||
|
|
humble up and see
|
||
|
|
|
||
|
|
01:05:42.000 --> 01:05:46.000
|
||
|
|
that there wasn't a spreading RNA virus
|
||
|
|
|
||
|
|
01:05:46.000 --> 01:05:48.000
|
||
|
|
that spreading RNA viruses
|
||
|
|
|
||
|
|
01:05:48.000 --> 01:05:50.000
|
||
|
|
are probably a pretty big
|
||
|
|
|
||
|
|
01:05:50.000 --> 01:05:52.000
|
||
|
|
biological myth
|
||
|
|
|
||
|
|
01:05:52.000 --> 01:05:54.000
|
||
|
|
and that if you don't want to get
|
||
|
|
|
||
|
|
01:05:54.000 --> 01:05:56.000
|
||
|
|
sophisticated enough to check that
|
||
|
|
|
||
|
|
01:05:56.000 --> 01:05:58.000
|
||
|
|
then you can just assure yourself
|
||
|
|
|
||
|
|
01:05:58.000 --> 01:06:00.000
|
||
|
|
that they lied about it
|
||
|
|
|
||
|
|
01:06:00.000 --> 01:06:02.000
|
||
|
|
because RNA cannot copy itself
|
||
|
|
|
||
|
|
01:06:02.000 --> 01:06:04.000
|
||
|
|
with high fidelity over millions of victims
|
||
|
|
|
||
|
|
01:06:04.000 --> 01:06:06.000
|
||
|
|
over several years
|
||
|
|
|
||
|
|
01:06:06.000 --> 01:06:08.000
|
||
|
|
it doesn't happen
|
||
|
|
|
||
|
|
01:06:08.000 --> 01:06:10.000
|
||
|
|
it can't happen
|
||
|
|
|
||
|
|
01:06:10.000 --> 01:06:12.000
|
||
|
|
there's no biology to explain it
|
||
|
|
|
||
|
|
01:06:12.000 --> 01:06:14.000
|
||
|
|
and on those principles
|
||
|
|
|
||
|
|
01:06:14.000 --> 01:06:16.000
|
||
|
|
the no-virus people have been right
|
||
|
|
|
||
|
|
01:06:16.000 --> 01:06:18.000
|
||
|
|
but the past is fading into
|
||
|
|
|
||
|
|
01:06:18.000 --> 01:06:20.000
|
||
|
|
the past is being erased
|
||
|
|
|
||
|
|
01:06:20.000 --> 01:06:22.000
|
||
|
|
the erasure will be forgotten
|
||
|
|
|
||
|
|
01:06:22.000 --> 01:06:24.000
|
||
|
|
and then the lie will become truth
|
||
|
|
|
||
|
|
01:06:24.000 --> 01:06:26.000
|
||
|
|
that's how we got AIDS
|
||
|
|
|
||
|
|
01:06:26.000 --> 01:06:28.000
|
||
|
|
and that's how we have
|
||
|
|
|
||
|
|
01:06:28.000 --> 01:06:30.000
|
||
|
|
our vaccine schedule
|
||
|
|
|
||
|
|
01:06:30.000 --> 01:06:32.000
|
||
|
|
in the United States
|
||
|
|
|
||
|
|
01:06:32.000 --> 01:06:34.000
|
||
|
|
because the past was forgotten
|
||
|
|
|
||
|
|
01:06:34.000 --> 01:06:36.000
|
||
|
|
and the lie became the truth
|
||
|
|
|
||
|
|
01:06:36.000 --> 01:06:38.000
|
||
|
|
the vaccines are just a flawless
|
||
|
|
|
||
|
|
01:06:38.000 --> 01:06:40.000
|
||
|
|
best idea ever
|
||
|
|
|
||
|
|
01:06:40.000 --> 01:06:42.000
|
||
|
|
Brett Weinstein and
|
||
|
|
|
||
|
|
01:06:42.000 --> 01:06:44.000
|
||
|
|
Heather Hay
|
||
|
|
|
||
|
|
01:06:44.000 --> 01:06:46.000
|
||
|
|
and that's that limited
|
||
|
|
|
||
|
|
01:06:46.000 --> 01:06:48.000
|
||
|
|
spectrum of debate
|
||
|
|
|
||
|
|
01:06:48.000 --> 01:06:50.000
|
||
|
|
that noam Chomsky warned us about
|
||
|
|
|
||
|
|
01:06:50.000 --> 01:06:52.000
|
||
|
|
it's that exact thing
|
||
|
|
|
||
|
|
01:06:52.000 --> 01:06:54.000
|
||
|
|
that the intellectual dark web does
|
||
|
|
|
||
|
|
01:06:54.000 --> 01:06:56.000
|
||
|
|
and all the while the presuppositions
|
||
|
|
|
||
|
|
01:06:56.000 --> 01:06:58.000
|
||
|
|
of the system are being
|
||
|
|
|
||
|
|
01:06:58.000 --> 01:07:00.000
|
||
|
|
reinforced by this limited
|
||
|
|
|
||
|
|
01:07:00.000 --> 01:07:02.000
|
||
|
|
spectrum of debate including a novel
|
||
|
|
|
||
|
|
01:07:02.000 --> 01:07:04.000
|
||
|
|
virus that killed millions of people
|
||
|
|
|
||
|
|
01:07:04.000 --> 01:07:06.000
|
||
|
|
that millions of people were saved from
|
||
|
|
|
||
|
|
01:07:06.000 --> 01:07:08.000
|
||
|
|
that likely came from getting a function
|
||
|
|
|
||
|
|
01:07:08.000 --> 01:07:10.000
|
||
|
|
will definitely come again
|
||
|
|
|
||
|
|
01:07:12.000 --> 01:07:14.000
|
||
|
|
here's the
|
||
|
|
|
||
|
|
01:07:14.000 --> 01:07:16.000
|
||
|
|
trip to Romania
|
||
|
|
|
||
|
|
01:07:16.000 --> 01:07:18.000
|
||
|
|
that we're talking about here
|
||
|
|
|
||
|
|
01:07:18.000 --> 01:07:20.000
|
||
|
11 months ago
|
keep in mind that not only was Denis Rancourt
|
||
|
12 months ago
|
|
||
|
|
01:07:20.000 --> 01:07:22.000
|
||
|
|
at this place
|
||
|
|
|
||
|
|
01:07:22.000 --> 01:07:24.000
|
||
|
|
and Brett Weinstein
|
||
|
|
|
||
|
|
01:07:24.000 --> 01:07:26.000
|
||
|
|
but also so many of the players
|
||
|
|
|
||
|
|
01:07:26.000 --> 01:07:28.000
|
||
|
|
that we've come to recognize
|
||
|
|
|
||
|
|
01:07:28.000 --> 01:07:30.000
|
||
|
|
as part of this worst case scenario
|
||
|
|
|
||
|
|
01:07:30.000 --> 01:07:32.000
|
||
|
|
chorus the Malone's
|
||
|
|
|
||
|
|
01:07:32.000 --> 01:07:34.000
|
||
|
|
Meryl Nass
|
||
|
|
|
||
|
|
01:07:34.000 --> 01:07:38.000
|
||
|
|
Brian Cole
|
||
|
|
|
||
|
|
01:07:38.000 --> 01:07:42.000
|
||
|
|
this is the
|
||
|
|
|
||
|
|
01:07:42.000 --> 01:07:44.000
|
||
|
|
guy from Harvard
|
||
|
|
|
||
|
|
01:07:44.000 --> 01:07:46.000
|
||
|
|
Harvey Reich
|
||
|
|
|
||
|
|
01:07:46.000 --> 01:07:48.000
|
||
|
|
and Jessica Rose
|
||
|
|
|
||
|
|
01:07:48.000 --> 01:07:50.000
|
||
|
|
immunologist mathematician
|
||
|
|
|
||
|
|
01:07:50.000 --> 01:07:54.000
|
||
|
|
bio informatics person who
|
||
|
|
|
||
|
|
01:07:54.000 --> 01:07:56.000
|
||
|
|
focuses exclusively on
|
||
|
|
|
||
|
|
01:07:56.000 --> 01:07:58.000
|
||
|
|
virus she's also a virologist
|
||
|
|
|
||
|
|
01:07:58.000 --> 01:08:00.000
|
||
|
|
exclusively on virus nothing else
|
||
|
|
|
||
|
|
01:08:00.000 --> 01:08:02.000
|
||
|
|
every once in a while she'll write
|
||
|
|
|
||
|
|
01:08:02.000 --> 01:08:04.000
|
||
|
|
something about the dangers of the shot
|
||
|
|
|
||
|
|
01:08:04.000 --> 01:08:06.000
|
||
|
|
but never about
|
||
|
|
|
||
|
|
01:08:06.000 --> 01:08:08.000
|
||
|
|
transfection as a whole
|
||
|
|
|
||
|
|
01:08:08.000 --> 01:08:10.000
|
||
|
|
and then of course
|
||
|
|
|
||
|
|
01:08:10.000 --> 01:08:12.000
|
||
|
|
here we have Steve Hatfield
|
||
|
|
|
||
|
|
01:08:12.000 --> 01:08:14.000
|
||
|
|
Steve Hatfield
|
||
|
|
|
||
|
|
01:08:14.000 --> 01:08:16.000
|
||
|
|
the guy who in March of 2020
|
||
|
|
|
||
|
|
01:08:16.000 --> 01:08:18.000
|
||
|
|
said that this thing was going to be
|
||
|
|
|
||
|
|
01:08:18.000 --> 01:08:20.000
|
||
|
|
something pretty deadly and that we
|
||
|
|
|
||
|
|
01:08:20.000 --> 01:08:22.000
|
||
|
|
needed to get kids to get used to
|
||
|
|
|
||
|
|
01:08:22.000 --> 01:08:24.000
|
||
|
|
masks and Barney should be wearing
|
||
|
|
|
||
|
|
01:08:24.000 --> 01:08:26.000
|
||
|
|
a mask because we got to get kids
|
||
|
|
|
||
|
|
01:08:26.000 --> 01:08:28.000
|
||
|
|
used to this and make it fun
|
||
|
|
|
||
|
|
01:08:28.000 --> 01:08:32.000
|
||
|
|
about
|
||
|
|
|
||
|
|
01:08:32.000 --> 01:08:34.000
|
||
|
|
a week later
|
||
|
|
|
||
|
|
01:08:34.000 --> 01:08:36.000
|
||
|
|
about a week later
|
||
|
|
|
||
|
|
01:08:36.000 --> 01:08:38.000
|
||
|
|
he's in another video
|
||
|
|
|
||
|
|
01:08:38.000 --> 01:08:42.000
|
||
|
|
and
|
||
|
|
|
||
|
|
01:08:42.000 --> 01:08:46.000
|
||
|
|
in that video
|
||
|
|
|
||
|
|
01:08:46.000 --> 01:08:48.000
|
||
|
|
he says things like
|
||
|
|
|
||
|
|
01:08:48.000 --> 01:08:50.000
|
||
|
|
public health in the 20th century
|
||
|
|
|
||
|
|
01:08:50.000 --> 01:08:52.000
|
||
|
|
has to be ranked up there
|
||
|
|
|
||
|
|
01:08:52.000 --> 01:08:54.000
|
||
|
|
with the level of national defense
|
||
|
|
|
||
|
|
01:08:54.000 --> 01:08:58.000
|
||
|
|
he says that in the future
|
||
|
|
|
||
|
|
01:08:58.000 --> 01:09:00.000
|
||
|
|
the U.S. probably needs a pandemic
|
||
|
|
|
||
|
|
01:09:00.000 --> 01:09:02.000
|
||
|
|
fusion center like NORAD
|
||
|
|
|
||
|
|
01:09:02.000 --> 01:09:04.000
|
||
|
|
social distancing is viral
|
||
|
|
|
||
|
|
01:09:04.000 --> 01:09:06.000
|
||
|
|
is vital
|
||
|
|
|
||
|
|
01:09:06.000 --> 01:09:08.000
|
||
|
|
this country has done the greatest war
|
||
|
|
|
||
|
|
01:09:08.000 --> 01:09:10.000
|
||
|
|
time mobilization since World War
|
||
|
|
|
||
|
|
01:09:10.000 --> 01:09:12.000
|
||
|
|
II for the pandemic
|
||
|
|
|
||
|
|
01:09:12.000 --> 01:09:14.000
|
||
|
|
um
|
||
|
|
|
||
|
|
01:09:14.000 --> 01:09:16.000
|
||
|
|
yeah
|
||
|
|
|
||
|
|
01:09:16.000 --> 01:09:18.000
|
||
|
|
I mean we're talking about some pretty
|
||
|
|
|
||
|
|
01:09:18.000 --> 01:09:20.000
|
||
|
|
serious on narrative stuff
|
||
|
|
|
||
|
|
01:09:20.000 --> 01:09:22.000
|
||
|
|
happening with with Mr. Steve
|
||
|
|
|
||
|
|
01:09:22.000 --> 01:09:24.000
|
||
|
|
Hatfield who now is on
|
||
|
|
|
||
|
|
01:09:24.000 --> 01:09:26.000
|
||
|
|
international tour for a book
|
||
|
|
|
||
|
|
01:09:26.000 --> 01:09:28.000
|
||
|
|
he's writing about the the role that
|
||
|
|
|
||
|
|
01:09:28.000 --> 01:09:30.000
|
||
|
|
hydroxychloroquine could have played
|
||
|
|
|
||
|
|
01:09:30.000 --> 01:09:32.000
|
||
|
|
in saving the pandemic and you know
|
||
|
|
|
||
|
|
01:09:32.000 --> 01:09:34.000
|
||
|
|
how how Rick Bright
|
||
|
|
|
||
|
|
01:09:34.000 --> 01:09:36.000
|
||
|
|
and Janet Woodcock are responsible
|
||
|
|
|
||
|
|
01:09:36.000 --> 01:09:38.000
|
||
|
|
for sabotaging Trump's plan and Navarro's
|
||
|
|
|
||
|
|
01:09:38.000 --> 01:09:40.000
|
||
|
|
plan to stockpile hydroxychloroquine
|
||
|
|
|
||
|
|
01:09:40.000 --> 01:09:42.000
|
||
|
|
and save America
|
||
|
|
|
||
|
|
01:09:42.000 --> 01:09:44.000
|
||
|
|
what a wonderful story
|
||
|
|
|
||
|
|
01:09:44.000 --> 01:09:46.000
|
||
|
|
about a drug that should have been in
|
||
|
|
|
||
|
|
01:09:46.000 --> 01:09:48.000
|
||
|
|
everybody's medicine cabinet but wasn't
|
||
|
|
|
||
|
|
01:09:48.000 --> 01:09:50.000
|
||
|
|
specific for any particular respiratory
|
||
|
|
|
||
|
|
01:09:50.000 --> 01:09:52.000
|
||
|
|
disease
|
||
|
|
|
||
|
|
01:09:52.000 --> 01:09:54.000
|
||
|
|
just generally useful
|
||
|
|
|
||
|
|
01:09:54.000 --> 01:09:58.000
|
||
|
|
for inflammation
|
||
|
|
|
||
|
|
01:09:58.000 --> 01:10:00.000
|
||
|
|
same probably with ivermectin
|
||
|
|
|
||
|
|
01:10:00.000 --> 01:10:02.000
|
||
|
|
although maybe ivermectin has some
|
||
|
|
|
||
|
|
01:10:02.000 --> 01:10:04.000
|
||
|
|
antibiotic and other effects
|
||
|
|
|
||
|
|
01:10:04.000 --> 01:10:06.000
|
||
|
|
another useful drug
|
||
|
|
|
||
|
|
01:10:06.000 --> 01:10:08.000
|
||
|
|
that probably should be in everybody's
|
||
|
|
|
||
|
|
01:10:08.000 --> 01:10:10.000
|
||
|
|
medicine cabinet and like aspirin
|
||
|
|
|
||
|
|
01:10:10.000 --> 01:10:12.000
|
||
|
|
could have lots of usefulness
|
||
|
|
|
||
|
|
01:10:12.000 --> 01:10:14.000
|
||
|
|
depending on when you used it
|
||
|
|
|
||
|
|
01:10:14.000 --> 01:10:16.000
|
||
|
|
but you know
|
||
|
|
|
||
|
|
01:10:16.000 --> 01:10:18.000
|
||
|
|
wouldn't want to think like that
|
||
|
|
|
||
|
|
01:10:18.000 --> 01:10:20.000
|
||
|
|
we would not want to challenge
|
||
|
|
|
||
|
|
01:10:20.000 --> 01:10:22.000
|
||
|
|
the existence of a novel virus
|
||
|
|
|
||
|
|
01:10:22.000 --> 01:10:24.000
|
||
|
|
for which novel cures are needed
|
||
|
|
|
||
|
|
01:10:24.000 --> 01:10:26.000
|
||
|
|
things that people have been using
|
||
|
|
|
||
|
|
01:10:26.000 --> 01:10:28.000
|
||
|
|
for years in other places
|
||
|
|
|
||
|
|
01:10:28.000 --> 01:10:30.000
|
||
|
|
for other things that were over the
|
||
|
|
|
||
|
|
01:10:30.000 --> 01:10:32.000
|
||
|
|
counter in France until the start
|
||
|
|
|
||
|
|
01:10:32.000 --> 01:10:34.000
|
||
|
|
of the pandemic for example
|
||
|
|
|
||
|
|
01:10:34.000 --> 01:10:36.000
|
||
|
|
but remember
|
||
|
|
|
||
|
|
01:10:36.000 --> 01:10:38.000
|
||
|
|
they did this stuff on purpose
|
||
|
|
|
||
|
|
01:10:38.000 --> 01:10:40.000
|
||
|
|
you heard
|
||
|
|
|
||
|
|
01:10:40.000 --> 01:10:42.000
|
||
|
|
that hydroxychloroquine
|
||
|
|
|
||
|
|
01:10:42.000 --> 01:10:44.000
|
||
|
|
used to be over the counter in
|
||
|
|
|
||
|
|
01:10:44.000 --> 01:10:46.000
|
||
|
|
France and then became not over
|
||
|
|
|
||
|
|
01:10:46.000 --> 01:10:48.000
|
||
|
|
the counter at the start of the pandemic
|
||
|
|
|
||
|
|
01:10:48.000 --> 01:10:50.000
|
||
|
|
ooh, hydroxychloroquine
|
||
|
|
|
||
|
|
01:10:50.000 --> 01:10:52.000
|
||
|
|
must be a secret they're trying to keep
|
||
|
|
|
||
|
|
01:10:56.000 --> 01:10:58.000
|
||
|
|
that's how they did it
|
||
|
|
|
||
|
|
01:10:58.000 --> 01:11:00.000
|
||
|
|
they made you think
|
||
|
|
|
||
|
|
01:11:00.000 --> 01:11:02.000
|
||
|
|
they were trying to hide it
|
||
|
|
|
||
|
|
01:11:02.000 --> 01:11:04.000
|
||
|
|
they did these obviously terrible
|
||
|
|
|
||
|
|
01:11:04.000 --> 01:11:06.000
|
||
|
|
obviously terrible trials
|
||
|
|
|
||
|
|
01:11:06.000 --> 01:11:08.000
|
||
|
|
that could obviously
|
||
|
|
|
||
|
|
01:11:08.000 --> 01:11:10.000
|
||
|
|
be dissected by
|
||
|
|
|
||
|
|
01:11:10.000 --> 01:11:12.000
|
||
|
|
armchair biologists like Brett Weinstein
|
||
|
|
|
||
|
|
01:11:12.000 --> 01:11:14.000
|
||
|
|
to show that this ivermectin
|
||
|
|
|
||
|
|
01:11:14.000 --> 01:11:16.000
|
||
|
|
trials clearly
|
||
|
|
|
||
|
|
01:11:16.000 --> 01:11:18.000
|
||
|
|
compounded it's confounded
|
||
|
|
|
||
|
|
01:11:18.000 --> 01:11:20.000
|
||
|
|
they're clearly covering up
|
||
|
|
|
||
|
|
01:11:20.000 --> 01:11:22.000
|
||
|
|
the usefulness of ivermectin
|
||
|
|
|
||
|
|
01:11:22.000 --> 01:11:24.000
|
||
|
|
here's three of us
|
||
|
|
|
||
|
|
01:11:24.000 --> 01:11:26.000
|
||
|
|
he's got two shots
|
||
|
|
|
||
|
|
01:11:26.000 --> 01:11:28.000
|
||
|
|
i've got the ivermectin
|
||
|
|
|
||
|
|
01:11:28.000 --> 01:11:30.000
|
||
|
|
he's got shots in
|
||
|
|
|
||
|
|
01:11:30.000 --> 01:11:32.000
|
||
|
|
and natural immunity
|
||
|
|
|
||
|
|
01:11:32.000 --> 01:11:34.000
|
||
|
|
this is a new way for us
|
||
|
|
|
||
|
|
01:11:34.000 --> 01:11:36.000
|
||
|
|
to hang out during the pandemic
|
||
|
|
|
||
|
|
01:11:36.000 --> 01:11:38.000
|
||
|
|
that's how he came out in
|
||
|
|
|
||
|
|
01:11:38.000 --> 01:11:40.000
|
||
|
|
2021 with Robert Malone
|
||
|
|
|
||
|
|
01:11:40.000 --> 01:11:42.000
|
||
|
|
and Steve Kirsch on his podcast
|
||
|
|
|
||
|
|
01:11:42.000 --> 01:11:44.000
|
||
|
|
he came out against the shot thing
|
||
|
|
|
||
|
|
01:11:44.000 --> 01:11:46.000
|
||
|
|
it was a very
|
||
|
|
|
||
|
|
01:11:46.000 --> 01:11:48.000
|
||
|
|
titrated
|
||
|
|
|
||
|
|
01:11:48.000 --> 01:11:50.000
|
||
|
|
slow roll
|
||
|
|
|
||
|
|
01:11:50.000 --> 01:11:52.000
|
||
|
|
to where we are now
|
||
|
|
|
||
|
|
01:11:52.000 --> 01:11:54.000
|
||
|
|
three years later
|
||
|
|
|
||
|
|
01:11:54.000 --> 01:11:56.000
|
||
|
|
no where basically
|
||
|
|
|
||
|
|
01:11:56.000 --> 01:11:58.000
|
||
|
|
absolutely no where
|
||
|
|
|
||
|
|
01:11:58.000 --> 01:12:00.000
|
||
|
|
basically
|
||
|
|
|
||
|
|
01:12:00.000 --> 01:12:02.000
|
||
|
|
only now coming
|
||
|
|
|
||
|
|
01:12:02.000 --> 01:12:04.000
|
||
|
|
to the conclusion that the right
|
||
|
|
|
||
|
|
01:12:04.000 --> 01:12:06.000
|
||
|
|
thing was to be skeptical about
|
||
|
|
|
||
|
|
01:12:06.000 --> 01:12:08.000
|
||
|
|
everything
|
||
|
|
|
||
|
|
01:12:08.000 --> 01:12:12.000
|
||
|
|
all the way down to the root cause
|
||
|
|
|
||
|
|
01:12:12.000 --> 01:12:14.000
|
||
|
|
and for whatever reason
|
||
|
|
|
||
|
|
01:12:14.000 --> 01:12:16.000
|
||
|
|
however they did it
|
||
|
|
|
||
|
|
01:12:16.000 --> 01:12:18.000
|
||
|
|
they made it very hard for everybody
|
||
|
|
|
||
|
|
01:12:18.000 --> 01:12:20.000
|
||
|
|
to get down to that root cause
|
||
|
|
|
||
|
|
01:12:20.000 --> 01:12:22.000
|
||
|
|
the weird part is
|
||
|
|
|
||
|
|
01:12:22.000 --> 01:12:24.000
|
||
|
|
i even have the feeling that the people
|
||
|
|
|
||
|
|
01:12:24.000 --> 01:12:26.000
|
||
|
|
who were technically at the right place
|
||
|
|
|
||
|
|
01:12:26.000 --> 01:12:28.000
|
||
|
|
with the root cause
|
||
|
|
|
||
|
|
01:12:28.000 --> 01:12:30.000
|
||
|
|
were there already too early
|
||
|
|
|
||
|
|
01:12:30.000 --> 01:12:34.000
|
||
|
|
and i'm not talking about
|
||
|
|
|
||
|
|
01:12:34.000 --> 01:12:36.000
|
||
|
|
people who questioned the AIDS virus
|
||
|
|
|
||
|
|
01:12:36.000 --> 01:12:38.000
|
||
|
|
i'm not talking about people like that
|
||
|
|
|
||
|
|
01:12:38.000 --> 01:12:40.000
|
||
|
|
like resnick
|
||
|
|
|
||
|
|
01:12:40.000 --> 01:12:42.000
|
||
|
|
who already knew the full extent
|
||
|
|
|
||
|
|
01:12:42.000 --> 01:12:44.000
|
||
|
|
to the mythology
|
||
|
|
|
||
|
|
01:12:44.000 --> 01:12:46.000
|
||
|
|
that could be laid by a illusion
|
||
|
|
|
||
|
|
01:12:46.000 --> 01:12:48.000
|
||
|
|
of consensus in science
|
||
|
|
|
||
|
|
01:12:48.000 --> 01:12:50.000
|
||
|
|
i'm talking about
|
||
|
|
|
||
|
|
01:12:50.000 --> 01:12:52.000
|
||
|
|
people like Andrew Kaufman
|
||
|
|
|
||
|
|
01:12:56.000 --> 01:12:58.000
|
||
|
|
like seriously
|
||
|
|
|
||
|
|
01:12:58.000 --> 01:13:00.000
|
||
|
|
can i just show you a picture
|
||
|
|
|
||
|
|
01:13:00.000 --> 01:13:02.000
|
||
|
|
and then you tell me what this picture means
|
||
|
|
|
||
|
|
01:13:02.000 --> 01:13:04.000
|
||
|
|
because i still can't really
|
||
|
|
|
||
|
|
01:13:04.000 --> 01:13:06.000
|
||
|
|
figure out what this picture means
|
||
|
|
|
||
|
|
01:13:06.000 --> 01:13:08.000
|
||
|
|
but it drives me absolutely bananas
|
||
|
|
|
||
|
|
01:13:08.000 --> 01:13:10.000
|
||
|
|
because i see it
|
||
|
|
|
||
|
|
01:13:10.000 --> 01:13:12.000
|
||
|
|
every time i open this folder
|
||
|
|
|
||
|
|
01:13:12.000 --> 01:13:14.000
|
||
|
|
i see this picture and i think what in the hell
|
||
|
|
|
||
|
|
01:13:14.000 --> 01:13:16.000
|
||
|
|
does this picture mean
|
||
|
|
|
||
|
|
01:13:16.000 --> 01:13:18.000
|
||
|
|
where is it now? can i find it?
|
||
|
|
|
||
|
|
01:13:18.000 --> 01:13:20.000
|
||
|
|
my goodness
|
||
|
|
|
||
|
|
01:13:20.000 --> 01:13:22.000
|
||
|
|
what does this picture mean
|
||
|
|
|
||
|
|
01:13:22.000 --> 01:13:24.000
|
||
|
|
where is my
|
||
|
|
|
||
|
|
01:13:26.000 --> 01:13:28.000
|
||
|
|
oh it's in this one
|
||
|
|
|
||
|
|
01:13:28.000 --> 01:13:30.000
|
||
|
|
here
|
||
|
|
|
||
|
|
01:13:30.000 --> 01:13:32.000
|
||
|
|
and media or images
|
||
|
|
|
||
|
|
01:13:32.000 --> 01:13:34.000
|
||
|
|
i think it's images
|
||
|
|
|
||
|
|
01:13:34.000 --> 01:13:38.000
|
||
|
|
hold on one second
|
||
|
|
|
||
|
|
01:13:38.000 --> 01:13:40.000
|
||
|
|
E
|
||
|
|
|
||
|
|
01:13:40.000 --> 01:13:42.000
|
||
|
|
E
|
||
|
|
|
||
|
|
01:13:42.000 --> 01:13:44.000
|
||
|
|
images no
|
||
|
|
|
||
|
|
01:13:44.000 --> 01:13:46.000
|
||
|
|
darn it now i'm wasting your time
|
||
|
|
|
||
|
|
01:13:46.000 --> 01:13:48.000
|
||
|
|
i apologize i'm gonna find them
|
||
|
|
|
||
|
|
01:13:48.000 --> 01:13:50.000
|
||
|
|
hold on one second
|
||
|
|
|
||
|
|
01:13:50.000 --> 01:13:52.000
|
||
|
|
it's
|
||
|
|
|
||
|
|
01:13:52.000 --> 01:13:54.000
|
||
|
|
stream media
|
||
|
|
|
||
|
|
01:13:54.000 --> 01:13:56.000
|
||
|
|
yes here
|
||
|
|
|
||
|
|
01:13:56.000 --> 01:14:02.000
|
||
|
|
what is this?
|
||
|
|
|
||
|
|
01:14:02.000 --> 01:14:06.000
|
||
|
|
so apparently
|
||
|
|
|
||
|
|
01:14:06.000 --> 01:14:08.000
|
||
|
|
apparently
|
||
|
|
|
||
|
|
01:14:08.000 --> 01:14:10.000
|
||
|
|
he had a contract
|
||
|
|
|
||
|
|
01:14:10.000 --> 01:14:12.000
|
||
|
|
with the state of New York
|
||
|
|
|
||
|
|
01:14:12.000 --> 01:14:14.000
|
||
|
|
or got a grant
|
||
|
|
|
||
|
|
01:14:14.000 --> 01:14:16.000
|
||
|
|
from the state of New York prison system
|
||
|
|
|
||
|
|
01:14:16.000 --> 01:14:20.000
|
||
|
|
to provide a biometric
|
||
|
|
|
||
|
|
01:14:20.000 --> 01:14:22.000
|
||
|
|
device
|
||
|
|
|
||
|
|
01:14:22.000 --> 01:14:26.000
|
||
|
|
to the prison system of New York
|
||
|
|
|
||
|
|
01:14:26.000 --> 01:14:28.000
|
||
|
|
now the name of the company is back here
|
||
|
|
|
||
|
|
01:14:28.000 --> 01:14:30.000
|
||
|
|
i don't think it's on this one
|
||
|
|
|
||
|
|
01:14:30.000 --> 01:14:32.000
|
||
|
|
but it might be
|
||
|
|
|
||
|
|
01:14:32.000 --> 01:14:34.000
|
||
|
|
and we can look it up
|
||
|
|
|
||
|
|
01:14:34.000 --> 01:14:36.000
|
||
|
|
i've got some of the documentation
|
||
|
|
|
||
|
|
01:14:36.000 --> 01:14:38.000
|
||
|
|
but this is a picture of him right before the pandemic
|
||
|
|
|
||
|
|
01:14:38.000 --> 01:14:40.000
|
||
|
|
at a poster session
|
||
|
|
|
||
|
|
01:14:40.000 --> 01:14:42.000
|
||
|
|
where he's
|
||
|
|
|
||
|
|
01:14:42.000 --> 01:14:44.000
|
||
|
|
getting the award
|
||
|
|
|
||
|
|
01:14:44.000 --> 01:14:46.000
|
||
|
|
to develop the technology
|
||
|
|
|
||
|
|
01:14:46.000 --> 01:14:48.000
|
||
|
|
to monitor
|
||
|
|
|
||
|
|
01:14:48.000 --> 01:14:50.000
|
||
|
|
somehow biometrics of prisoners
|
||
|
|
|
||
|
|
01:14:50.000 --> 01:14:52.000
|
||
|
|
maybe with regard to suicide watch
|
||
|
|
|
||
|
|
01:14:52.000 --> 01:14:54.000
|
||
|
|
or something like that
|
||
|
|
|
||
|
|
01:14:54.000 --> 01:14:56.000
|
||
|
|
and here he is
|
||
|
|
|
||
|
|
01:14:56.000 --> 01:14:58.000
|
||
|
|
having a handshake
|
||
|
|
|
||
|
|
01:14:58.000 --> 01:15:00.000
|
||
|
|
with one of the real godfathers
|
||
|
|
|
||
|
|
01:15:00.000 --> 01:15:02.000
|
||
|
|
of the pandemic narrative
|
||
|
|
|
||
|
|
01:15:02.000 --> 01:15:04.000
|
||
|
|
and one of the people that oversaw the mass casualty event
|
||
|
|
|
||
|
|
01:15:04.000 --> 01:15:08.000
|
||
|
|
in New York and New York state
|
||
|
|
|
||
|
|
01:15:08.000 --> 01:15:10.000
|
||
|
|
and coincidentally
|
||
|
|
|
||
|
|
01:15:10.000 --> 01:15:12.000
|
||
|
|
who's the first guy
|
||
|
|
|
||
|
|
01:15:12.000 --> 01:15:14.000
|
||
|
|
who's the first name
|
||
|
|
|
||
|
|
01:15:14.000 --> 01:15:16.000
|
||
|
|
that Kevin McCarran mentioned
|
||
|
|
|
||
|
|
01:15:16.000 --> 01:15:18.000
|
||
|
|
in late February
|
||
|
|
|
||
|
|
01:15:18.000 --> 01:15:20.000
|
||
|
|
or early March
|
||
|
|
|
||
|
|
01:15:20.000 --> 01:15:22.000
|
||
|
|
as the thing that he was most focused on
|
||
|
|
|
||
|
|
01:15:22.000 --> 01:15:24.000
|
||
|
|
the two things
|
||
|
|
|
||
|
|
01:15:24.000 --> 01:15:26.000
|
||
|
|
that i really want to focus on
|
||
|
|
|
||
|
|
01:15:26.000 --> 01:15:30.000
|
||
|
|
are these no-virus people like Andy Kaufman
|
||
|
|
|
||
|
|
01:15:30.000 --> 01:15:32.000
|
||
|
|
and the 5G narrative
|
||
|
|
|
||
|
|
01:15:32.000 --> 01:15:34.000
|
||
|
|
that the 5G is causing the virus
|
||
|
|
|
||
|
|
01:15:34.000 --> 01:15:38.000
|
||
|
|
i got to fight against those two things
|
||
|
|
|
||
|
|
01:15:38.000 --> 01:15:42.000
|
||
|
|
i suspect that some of these
|
||
|
|
|
||
|
|
01:15:42.000 --> 01:15:44.000
|
||
|
|
no-virus people were actually very good people
|
||
|
|
|
||
|
|
01:15:44.000 --> 01:15:46.000
|
||
|
|
i think some of these no-virus people
|
||
|
|
|
||
|
|
01:15:46.000 --> 01:15:48.000
|
||
|
|
were actually
|
||
|
|
|
||
|
|
01:15:48.000 --> 01:15:50.000
|
||
|
|
probably on the right side the whole time
|
||
|
|
|
||
|
|
01:15:50.000 --> 01:15:52.000
|
||
|
|
and that they were co-opted by a few people
|
||
|
|
|
||
|
|
01:15:52.000 --> 01:15:54.000
|
||
|
|
by the state
|
||
|
|
|
||
|
|
01:15:54.000 --> 01:15:56.000
|
||
|
|
by the system
|
||
|
|
|
||
|
|
01:15:56.000 --> 01:15:58.000
|
||
|
|
by these interests that were interested
|
||
|
|
|
||
|
|
01:15:58.000 --> 01:16:00.000
|
||
|
|
in posing next to the train
|
||
|
|
|
||
|
|
01:16:00.000 --> 01:16:02.000
|
||
|
|
and carefully coached
|
||
|
|
|
||
|
|
01:16:02.000 --> 01:16:06.000
|
||
|
|
as to how to play the no-virus team
|
||
|
|
|
||
|
|
01:16:06.000 --> 01:16:08.000
|
||
|
|
and it could be
|
||
|
|
|
||
|
|
01:16:08.000 --> 01:16:10.000
|
||
|
|
very very easy for them to
|
||
|
|
|
||
|
|
01:16:10.000 --> 01:16:12.000
|
||
|
|
have been a uniting force
|
||
|
|
|
||
|
|
01:16:12.000 --> 01:16:14.000
|
||
|
|
or a place of
|
||
|
|
|
||
|
|
01:16:14.000 --> 01:16:16.000
|
||
|
|
networking but instead they stuck
|
||
|
|
|
||
|
|
01:16:16.000 --> 01:16:18.000
|
||
|
|
to it so hard
|
||
|
|
|
||
|
|
01:16:18.000 --> 01:16:20.000
|
||
|
|
in the first year and a half or two years
|
||
|
|
|
||
|
|
01:16:20.000 --> 01:16:22.000
|
||
|
|
and at the same time
|
||
|
|
|
||
|
|
01:16:22.000 --> 01:16:24.000
|
||
|
|
were opposed
|
||
|
|
|
||
|
|
01:16:24.000 --> 01:16:26.000
|
||
|
|
so violently
|
||
|
|
|
||
|
|
01:16:26.000 --> 01:16:28.000
|
||
|
|
by people on our side
|
||
|
|
|
||
|
|
01:16:28.000 --> 01:16:30.000
|
||
|
|
that it became
|
||
|
|
|
||
|
|
01:16:30.000 --> 01:16:32.000
|
||
|
|
very very hard for anybody
|
||
|
|
|
||
|
|
01:16:32.000 --> 01:16:34.000
|
||
|
|
to see
|
||
|
|
|
||
|
|
01:16:34.000 --> 01:16:36.000
|
||
|
|
that their position was rational
|
||
|
|
|
||
|
|
01:16:36.000 --> 01:16:38.000
|
||
|
|
that their
|
||
|
|
|
||
|
|
01:16:38.000 --> 01:16:40.000
|
||
|
|
their idea of questioning
|
||
|
|
|
||
|
|
01:16:40.000 --> 01:16:42.000
|
||
|
|
the source
|
||
|
|
|
||
|
|
01:16:42.000 --> 01:16:44.000
|
||
|
|
narrative of the pandemic was a good idea
|
||
|
|
|
||
|
|
01:16:44.000 --> 01:16:48.000
|
||
|
|
both by their own actions
|
||
|
|
|
||
|
|
01:16:48.000 --> 01:16:50.000
|
||
|
|
by the actions of others that appeared
|
||
|
|
|
||
|
|
01:16:50.000 --> 01:16:52.000
|
||
|
|
to be opposing them
|
||
|
|
|
||
|
|
01:16:52.000 --> 01:16:54.000
|
||
|
|
by the memes that were created
|
||
|
|
|
||
|
|
01:16:54.000 --> 01:16:58.000
|
||
|
|
there was a collective effort
|
||
|
|
|
||
|
|
01:16:58.000 --> 01:17:00.000
|
||
|
|
on both sides
|
||
|
|
|
||
|
|
01:17:00.000 --> 01:17:02.000
|
||
|
|
of that narrative
|
||
|
|
|
||
|
|
01:17:02.000 --> 01:17:04.000
|
||
|
|
both sides of that narrative
|
||
|
|
|
||
|
|
01:17:04.000 --> 01:17:06.000
|
||
|
|
that is the no-virus king
|
||
|
|
|
||
|
|
01:17:06.000 --> 01:17:08.000
|
||
|
|
shaking hands
|
||
|
|
|
||
|
|
01:17:08.000 --> 01:17:10.000
|
||
|
|
with the pandemic
|
||
|
|
|
||
|
|
01:17:10.000 --> 01:17:12.000
|
||
|
|
mass casualty event coordinator
|
||
|
|
|
||
|
|
01:17:12.000 --> 01:17:14.000
|
||
|
|
that started the whole
|
||
|
|
|
||
|
|
01:17:14.000 --> 01:17:16.000
|
||
|
|
thing
|
||
|
|
|
||
|
|
01:17:16.000 --> 01:17:18.000
|
||
|
|
and they're shaking hands
|
||
|
|
|
||
|
|
01:17:18.000 --> 01:17:20.000
|
||
|
|
in 2019 ladies and gentlemen
|
||
|
|
|
||
|
|
01:17:20.000 --> 01:17:22.000
|
||
|
|
please wake up and apologize
|
||
|
|
|
||
|
|
01:17:22.000 --> 01:17:24.000
|
||
|
|
to everybody who knew this
|
||
|
|
|
||
|
|
01:17:24.000 --> 01:17:26.000
|
||
|
|
before we did
|
||
|
|
|
||
|
|
01:17:26.000 --> 01:17:28.000
|
||
|
|
and who figured it out
|
||
|
|
|
||
|
|
01:17:33.000 --> 01:17:35.000
|
||
|
|
this is not the hero you're looking for here
|
||
|
|
|
||
|
|
01:17:35.000 --> 01:17:37.000
|
||
|
|
this is not the hero you're looking for
|
||
|
|
|
||
|
|
01:17:37.000 --> 01:17:39.000
|
||
|
|
this is what I think is part
|
||
|
|
|
||
|
|
01:17:39.000 --> 01:17:41.000
|
||
|
|
of the controlled op on the
|
||
|
|
|
||
|
|
01:17:41.000 --> 01:17:43.000
|
||
|
|
no-virus side
|
||
|
|
|
||
|
|
01:17:47.000 --> 01:17:49.000
|
||
|
|
it's not a coincidence this photo exists
|
||
|
|
|
||
|
|
01:17:49.000 --> 01:17:51.000
|
||
|
|
it's not a coincidence that grant exists
|
||
|
|
|
||
|
|
01:17:51.000 --> 01:17:53.000
|
||
|
|
that guy is not interested
|
||
|
|
|
||
|
|
01:17:53.000 --> 01:17:55.000
|
||
|
|
in saving humankind
|
||
|
|
|
||
|
|
01:17:57.000 --> 01:17:59.000
|
||
|
|
other people on the no-virus team
|
||
|
|
|
||
|
|
01:17:59.000 --> 01:18:01.000
|
||
|
|
might be
|
||
|
|
|
||
|
|
01:18:01.000 --> 01:18:03.000
|
||
|
|
other people who questioned the aids
|
||
|
|
|
||
|
|
01:18:03.000 --> 01:18:05.000
|
||
|
|
epidemic already
|
||
|
|
|
||
|
|
01:18:05.000 --> 01:18:07.000
|
||
|
|
10, 20 years ago might be
|
||
|
|
|
||
|
|
01:18:07.000 --> 01:18:09.000
|
||
|
|
on the good side
|
||
|
|
|
||
|
|
01:18:09.000 --> 01:18:11.000
|
||
|
|
but I know for sure
|
||
|
|
|
||
|
|
01:18:11.000 --> 01:18:13.000
|
||
|
|
that Kevin McCarran and
|
||
|
|
|
||
|
|
01:18:13.000 --> 01:18:15.000
|
||
|
|
Paul Catrell knew the name of
|
||
|
|
|
||
|
|
01:18:15.000 --> 01:18:17.000
|
||
|
|
Andrew Kaufman in February and
|
||
|
|
|
||
|
|
01:18:17.000 --> 01:18:19.000
|
||
|
|
March of 2020 and repeated it
|
||
|
|
|
||
|
|
01:18:19.000 --> 01:18:21.000
|
||
|
|
often
|
||
|
|
|
||
|
|
01:18:21.000 --> 01:18:23.000
|
||
|
|
the other name that they knew
|
||
|
|
|
||
|
|
01:18:23.000 --> 01:18:25.000
|
||
|
|
was Tom Cowan
|
||
|
|
|
||
|
|
01:18:27.000 --> 01:18:29.000
|
||
|
|
they didn't start in on the
|
||
|
|
|
||
|
|
01:18:29.000 --> 01:18:31.000
|
||
|
|
balies until much later in
|
||
|
|
|
||
|
|
01:18:31.000 --> 01:18:33.000
|
||
|
|
2020
|
||
|
|
|
||
|
|
01:18:33.000 --> 01:18:35.000
|
||
|
|
I see it
|
||
|
|
|
||
|
|
01:18:35.000 --> 01:18:37.000
|
||
|
|
ladies and gentlemen I see it
|
||
|
|
|
||
|
|
01:18:37.000 --> 01:18:39.000
|
||
|
|
very clearly that a game is being played
|
||
|
|
|
||
|
|
01:18:39.000 --> 01:18:41.000
|
||
|
|
with us that a game has been played
|
||
|
|
|
||
|
|
01:18:41.000 --> 01:18:43.000
|
||
|
|
for a very long time that some of these
|
||
|
|
|
||
|
|
01:18:43.000 --> 01:18:45.000
|
||
|
|
people are wittingly involved
|
||
|
|
|
||
|
|
01:18:45.000 --> 01:18:47.000
|
||
|
|
other people are unwittingly involved
|
||
|
|
|
||
|
|
01:18:47.000 --> 01:18:49.000
|
||
|
|
but all of them know that there
|
||
|
|
|
||
|
|
01:18:49.000 --> 01:18:51.000
|
||
|
|
is a governing structure
|
||
|
|
|
||
|
|
01:18:51.000 --> 01:18:53.000
|
||
|
|
above us and around us
|
||
|
|
|
||
|
|
01:18:53.000 --> 01:18:55.000
|
||
|
|
and outside of us
|
||
|
|
|
||
|
|
01:18:55.000 --> 01:18:57.000
|
||
|
|
that uses mythology to govern us
|
||
|
|
|
||
|
|
01:18:57.000 --> 01:18:59.000
|
||
|
|
and that's why they feel very
|
||
|
|
|
||
|
|
01:18:59.000 --> 01:19:01.000
|
||
|
|
comfortable talking about the mythology
|
||
|
|
|
||
|
|
01:19:01.000 --> 01:19:03.000
|
||
|
|
because they are comfortably part
|
||
|
|
|
||
|
|
01:19:03.000 --> 01:19:05.000
|
||
|
|
of the governing structure
|
||
|
|
|
||
|
|
01:19:05.000 --> 01:19:07.000
|
||
|
|
it's not fifth generation
|
||
|
|
|
||
|
|
01:19:07.000 --> 01:19:09.000
|
||
|
|
warfare it's fifth generation
|
||
|
|
|
||
|
|
01:19:09.000 --> 01:19:11.000
|
||
|
|
governance
|
||
|
|
|
||
|
|
01:19:11.000 --> 01:19:13.000
|
||
|
|
and they want to govern our
|
||
|
|
|
||
|
|
01:19:13.000 --> 01:19:15.000
|
||
|
|
children by this mythology so that's
|
||
|
|
|
||
|
|
01:19:15.000 --> 01:19:17.000
|
||
|
|
why they are sticking to it they know
|
||
|
|
|
||
|
|
01:19:17.000 --> 01:19:19.000
|
||
|
|
that's the plan
|
||
|
|
|
||
|
|
01:19:19.000 --> 01:19:21.000
|
||
|
|
they know all of our people are all in
|
||
|
|
|
||
|
|
01:19:21.000 --> 01:19:23.000
|
||
|
|
all of the people in on this plan are
|
||
|
|
|
||
|
|
01:19:23.000 --> 01:19:25.000
|
||
|
|
all in and so it's either they win
|
||
|
|
|
||
|
|
01:19:25.000 --> 01:19:27.000
|
||
|
|
or they lose
|
||
|
|
|
||
|
|
01:19:27.000 --> 01:19:29.000
|
||
|
|
there's no in between this time
|
||
|
|
|
||
|
|
01:19:29.000 --> 01:19:31.000
|
||
|
|
because it's for all the marbles
|
||
|
|
|
||
|
|
01:19:31.000 --> 01:19:35.000
|
||
|
|
so if you want to play
|
||
|
|
|
||
|
|
01:19:35.000 --> 01:19:37.000
|
||
|
|
on the right team it's now or never
|
||
|
|
|
||
|
|
01:19:37.000 --> 01:19:41.000
|
||
|
|
because they're going to
|
||
|
|
|
||
|
|
01:19:41.000 --> 01:19:43.000
|
||
|
|
keep telling the same stories
|
||
|
|
|
||
|
|
01:19:43.000 --> 01:19:45.000
|
||
|
|
they're going to keep obfuscating the
|
||
|
|
|
||
|
|
01:19:45.000 --> 01:19:47.000
|
||
|
|
truth they're going to keep talking about
|
||
|
|
|
||
|
|
01:19:47.000 --> 01:19:49.000
|
||
|
|
infection and replication in competent
|
||
|
|
|
||
|
|
01:19:49.000 --> 01:19:51.000
|
||
|
|
clones with the idea of
|
||
|
|
|
||
|
|
01:19:51.000 --> 01:19:53.000
|
||
|
|
implying to you that there are also
|
||
|
|
|
||
|
|
01:19:53.000 --> 01:19:55.000
|
||
|
|
replication competent clones
|
||
|
|
|
||
|
|
01:19:55.000 --> 01:20:03.000
|
||
|
|
they're going to keep playing with your consciousness because
|
||
|
|
|
||
|
|
01:20:03.000 --> 01:20:05.000
|
||
|
|
it is the primary real estate that this has
|
||
|
|
|
||
|
|
01:20:05.000 --> 01:20:07.000
|
||
|
|
always been about your consciousness
|
||
|
|
|
||
|
|
01:20:07.000 --> 01:20:09.000
|
||
|
|
and that of your children
|
||
|
|
|
||
|
|
01:20:09.000 --> 01:20:13.000
|
||
|
|
and these narratives that they brought
|
||
|
|
|
||
|
|
01:20:13.000 --> 01:20:15.000
|
||
|
|
out they were all designed
|
||
|
|
|
||
|
|
01:20:15.000 --> 01:20:17.000
|
||
|
|
to give everybody a job to give everybody
|
||
|
|
|
||
|
|
01:20:17.000 --> 01:20:19.000
|
||
|
|
a place to pose on the side of the
|
||
|
|
|
||
|
|
01:20:19.000 --> 01:20:21.000
|
||
|
|
train to help pretend to stop and start it
|
||
|
|
|
||
|
|
01:20:21.000 --> 01:20:23.000
|
||
|
|
so that everybody would believe that
|
||
|
|
|
||
|
|
01:20:23.000 --> 01:20:25.000
|
||
|
|
these actions were necessary
|
||
|
|
|
||
|
|
01:20:25.000 --> 01:20:27.000
|
||
|
|
and contributing to the experience
|
||
|
|
|
||
|
|
01:20:27.000 --> 01:20:29.000
|
||
|
|
that we were all having
|
||
|
|
|
||
|
|
01:20:29.000 --> 01:20:31.000
|
||
|
|
I lonely rode all by ourselves
|
||
|
|
|
||
|
|
01:20:31.000 --> 01:20:33.000
|
||
|
|
where we've never been before
|
||
|
|
|
||
|
|
01:20:33.000 --> 01:20:35.000
|
||
|
|
until we got picked up by a bunch of strangers
|
||
|
|
|
||
|
|
01:20:35.000 --> 01:20:37.000
|
||
|
|
that helped explain these stories to us
|
||
|
|
|
||
|
|
01:20:37.000 --> 01:20:41.000
|
||
|
|
and such plausible explanations
|
||
|
|
|
||
|
|
01:20:41.000 --> 01:20:43.000
|
||
|
|
they were Ivermectin
|
||
|
|
|
||
|
|
01:20:43.000 --> 01:20:45.000
|
||
|
|
and hydroxychloroquine
|
||
|
|
|
||
|
|
01:20:45.000 --> 01:20:47.000
|
||
|
|
make sense for a novel virus
|
||
|
|
|
||
|
|
01:20:47.000 --> 01:20:51.000
|
||
|
|
they couldn't possibly make sense
|
||
|
|
|
||
|
|
01:20:51.000 --> 01:20:53.000
|
||
|
|
for a population that was just
|
||
|
|
|
||
|
|
01:20:53.000 --> 01:20:55.000
|
||
|
|
wholly unhealthy
|
||
|
|
|
||
|
|
01:20:55.000 --> 01:20:57.000
|
||
|
|
undernourished
|
||
|
|
|
||
|
|
01:20:57.000 --> 01:20:59.000
|
||
|
|
sick and constantly inflamed
|
||
|
|
|
||
|
|
01:20:59.000 --> 01:21:03.000
|
||
|
|
I mean imagine a scenario where
|
||
|
|
|
||
|
|
01:21:03.000 --> 01:21:05.000
|
||
|
|
50% of America is in a constant state
|
||
|
|
|
||
|
|
01:21:05.000 --> 01:21:07.000
|
||
|
|
of inflammation just because they're
|
||
|
|
|
||
|
|
01:21:07.000 --> 01:21:09.000
|
||
|
|
overweight and undernourished
|
||
|
|
|
||
|
|
01:21:09.000 --> 01:21:11.000
|
||
|
|
and that's something that would work
|
||
|
|
|
||
|
|
01:21:11.000 --> 01:21:13.000
|
||
|
|
against inflammation or work against
|
||
|
|
|
||
|
|
01:21:13.000 --> 01:21:15.000
|
||
|
|
an overactive immune system
|
||
|
|
|
||
|
|
01:21:15.000 --> 01:21:17.000
|
||
|
|
like Ivermectin and hydroxychloroquine
|
||
|
|
|
||
|
|
01:21:17.000 --> 01:21:19.000
|
||
|
|
could have general beneficial effects
|
||
|
|
|
||
|
|
01:21:19.000 --> 01:21:21.000
|
||
|
|
out of a population like that
|
||
|
|
|
||
|
|
01:21:21.000 --> 01:21:23.000
|
||
|
|
imagine that
|
||
|
|
|
||
|
|
01:21:23.000 --> 01:21:27.000
|
||
|
|
and imagine how many doctors were not
|
||
|
|
|
||
|
|
01:21:27.000 --> 01:21:29.000
|
||
|
|
savvy enough to maybe think about that
|
||
|
|
|
||
|
|
01:21:29.000 --> 01:21:31.000
|
||
|
|
but instead were so convinced
|
||
|
|
|
||
|
|
01:21:31.000 --> 01:21:33.000
|
||
|
|
that they wrote books
|
||
|
|
|
||
|
|
01:21:33.000 --> 01:21:35.000
|
||
|
|
and articles and substacks
|
||
|
|
|
||
|
|
01:21:35.000 --> 01:21:37.000
|
||
|
|
about the effectiveness of Ivermectin
|
||
|
|
|
||
|
|
01:21:37.000 --> 01:21:39.000
|
||
|
|
that they came out on their podcast
|
||
|
|
|
||
|
|
01:21:39.000 --> 01:21:41.000
|
||
|
|
and said that
|
||
|
|
|
||
|
|
01:21:41.000 --> 01:21:43.000
|
||
|
|
prophylactic use of Ivermectin
|
||
|
|
|
||
|
|
01:21:43.000 --> 01:21:45.000
|
||
|
|
I'm proving to you now
|
||
|
|
|
||
|
|
01:21:45.000 --> 01:21:47.000
|
||
|
|
that it's safe
|
||
|
|
|
||
|
|
01:21:49.000 --> 01:21:51.000
|
||
|
|
ladies and gentlemen
|
||
|
|
|
||
|
|
01:21:51.000 --> 01:21:53.000
|
||
|
|
Brett Weinstein
|
||
|
|
|
||
|
|
01:21:53.000 --> 01:21:55.000
|
||
|
|
Pierre Corrie
|
||
|
|
|
||
|
|
01:21:55.000 --> 01:21:57.000
|
||
|
|
are the two main proponents
|
||
|
|
|
||
|
|
01:21:57.000 --> 01:21:59.000
|
||
|
|
of Ivermectin and the main proponent
|
||
|
|
|
||
|
|
01:21:59.000 --> 01:22:01.000
|
||
|
|
of hydroxychloroquine
|
||
|
|
|
||
|
|
01:22:01.000 --> 01:22:03.000
|
||
|
|
is not Zeb Zelenko
|
||
|
|
|
||
|
|
01:22:03.000 --> 01:22:05.000
|
||
|
|
it's Steven Hatfield
|
||
|
|
|
||
|
|
01:22:05.000 --> 01:22:09.000
|
||
|
|
a guy who oversaw
|
||
|
|
|
||
|
|
01:22:09.000 --> 01:22:11.000
|
||
|
|
the Ebola response
|
||
|
|
|
||
|
|
01:22:11.000 --> 01:22:13.000
|
||
|
|
a guy who was accused
|
||
|
|
|
||
|
|
01:22:13.000 --> 01:22:15.000
|
||
|
|
of being the anthrax leaker
|
||
|
|
|
||
|
|
01:22:15.000 --> 01:22:17.000
|
||
|
|
but then given five million dollar
|
||
|
|
|
||
|
|
01:22:17.000 --> 01:22:19.000
|
||
|
|
someone sorry we didn't mean to accuse you
|
||
|
|
|
||
|
|
01:22:19.000 --> 01:22:21.000
|
||
|
|
even though you were on sipro
|
||
|
|
|
||
|
|
01:22:21.000 --> 01:22:23.000
|
||
|
|
the week before
|
||
|
|
|
||
|
|
01:22:23.000 --> 01:22:25.000
|
||
|
|
for a sinus infection
|
||
|
|
|
||
|
|
01:22:27.000 --> 01:22:29.000
|
||
|
|
the mystery virus does not
|
||
|
|
|
||
|
|
01:22:29.000 --> 01:22:31.000
|
||
|
|
equal the excess deaths
|
||
|
|
|
||
|
|
01:22:31.000 --> 01:22:33.000
|
||
|
|
Mr. Brett Weinstein
|
||
|
|
|
||
|
|
01:22:37.000 --> 01:22:39.000
|
||
|
11 months ago
|
and Denis told you that there were no
|
||
|
12 months ago
|
|
||
|
|
01:22:39.000 --> 01:22:41.000
|
||
|
|
excess deaths attributable to
|
||
|
|
|
||
|
|
01:22:41.000 --> 01:22:43.000
|
||
|
|
a virus in 2020
|
||
|
|
|
||
|
|
01:22:43.000 --> 01:22:45.000
|
||
|
|
but you don't seem to care
|
||
|
|
|
||
|
|
01:22:45.000 --> 01:22:47.000
|
||
|
|
you don't seem to care
|
||
|
|
|
||
|
|
01:22:47.000 --> 01:22:49.000
|
||
|
|
at all to do this math
|
||
|
|
|
||
|
|
01:22:49.000 --> 01:22:51.000
|
||
|
|
to reframe it with regard
|
||
|
|
|
||
|
|
01:22:51.000 --> 01:22:53.000
|
||
|
|
to all-cause mortality
|
||
|
|
|
||
|
|
01:22:53.000 --> 01:22:55.000
|
||
|
|
you don't want to outline
|
||
|
|
|
||
|
|
01:22:55.000 --> 01:22:57.000
|
||
|
|
the fact that all of these things
|
||
|
|
|
||
|
|
01:22:57.000 --> 01:22:59.000
|
||
|
|
are confounders
|
||
|
|
|
||
|
|
01:22:59.000 --> 01:23:01.000
|
||
|
|
that you won't talk about
|
||
|
|
|
||
|
|
01:23:01.000 --> 01:23:03.000
|
||
|
|
you mentioned ventilators
|
||
|
|
|
||
|
|
01:23:03.000 --> 01:23:05.000
|
||
|
|
like ventilators
|
||
|
|
|
||
|
|
01:23:05.000 --> 01:23:07.000
|
||
|
|
that's it
|
||
|
|
|
||
|
|
01:23:07.000 --> 01:23:09.000
|
||
|
|
nothing else
|
||
|
|
|
||
|
|
01:23:09.000 --> 01:23:11.000
|
||
|
|
nothing else that could have distorted
|
||
|
|
|
||
|
|
01:23:11.000 --> 01:23:13.000
|
||
|
|
the all-cause mortality
|
||
|
|
|
||
|
|
01:23:13.000 --> 01:23:15.000
|
||
|
|
the interpretation of it
|
||
|
|
|
||
|
|
01:23:17.000 --> 01:23:19.000
|
||
|
|
I mean for goodness sakes
|
||
|
|
|
||
|
|
01:23:19.000 --> 01:23:21.000
|
||
|
|
even Jessica Hockett is right about this
|
||
|
|
|
||
|
|
01:23:21.000 --> 01:23:23.000
|
||
|
|
all-cause mortality is bullshit
|
||
|
|
|
||
|
|
01:23:23.000 --> 01:23:25.000
|
||
|
|
why is it bullshit
|
||
|
|
|
||
|
|
01:23:25.000 --> 01:23:27.000
|
||
|
|
well because let's go back
|
||
|
|
|
||
|
|
01:23:27.000 --> 01:23:29.000
|
||
|
|
what is this all-cause mortality
|
||
|
|
|
||
|
|
01:23:29.000 --> 01:23:31.000
|
||
|
|
here in America
|
||
|
|
|
||
|
|
01:23:31.000 --> 01:23:33.000
|
||
|
|
what does that represent
|
||
|
|
|
||
|
|
01:23:33.000 --> 01:23:35.000
|
||
|
|
hey healthy population
|
||
|
|
|
||
|
|
01:23:35.000 --> 01:23:37.000
|
||
|
|
does that represent a nourished population
|
||
|
|
|
||
|
|
01:23:37.000 --> 01:23:39.000
|
||
|
|
does that represent
|
||
|
|
|
||
|
|
01:23:39.000 --> 01:23:41.000
|
||
|
|
a great healthcare system
|
||
|
|
|
||
|
|
01:23:42.000 --> 01:23:44.000
|
||
|
|
or does this represent the death rate
|
||
|
|
|
||
|
|
01:23:44.000 --> 01:23:46.000
|
||
|
|
in one of the most unhealthy
|
||
|
|
|
||
|
|
01:23:46.000 --> 01:23:49.000
|
||
|
|
obese, inflamed, undernourished
|
||
|
|
|
||
|
|
01:23:51.000 --> 01:23:53.000
|
||
|
|
populations in all of the first world
|
||
|
|
|
||
|
|
01:23:55.000 --> 01:23:57.000
|
||
|
|
does it represent a population
|
||
|
|
|
||
|
|
01:23:57.000 --> 01:23:59.000
|
||
|
|
where between 50 and 100,000 people
|
||
|
|
|
||
|
|
01:23:59.000 --> 01:24:01.000
|
||
|
|
die of drug overdose every year
|
||
|
|
|
||
|
|
01:24:02.000 --> 01:24:04.000
|
||
|
|
of just opioids
|
||
|
|
|
||
|
|
01:24:04.000 --> 01:24:06.000
|
||
|
|
never mind cocaine or crack
|
||
|
|
|
||
|
|
01:24:07.000 --> 01:24:09.000
|
||
|
|
never mind our high suicide rate
|
||
|
|
|
||
|
|
01:24:10.000 --> 01:24:16.000
|
||
|
|
all-cause mortality
|
||
|
|
|
||
|
|
01:24:16.000 --> 01:24:19.000
|
||
|
|
normalizes our very very
|
||
|
|
|
||
|
|
01:24:19.000 --> 01:24:21.000
|
||
|
|
unhealthy system
|
||
|
|
|
||
|
|
01:24:23.000 --> 01:24:25.000
|
||
|
|
and excess all-cause mortality
|
||
|
|
|
||
|
|
01:24:25.000 --> 01:24:27.000
|
||
|
|
is on top of the already dirty system
|
||
|
|
|
||
|
|
01:24:27.000 --> 01:24:29.000
|
||
|
|
that we have
|
||
|
|
|
||
|
|
01:24:29.000 --> 01:24:31.000
|
||
|
|
now we had some more excess deaths
|
||
|
|
|
||
|
|
01:24:32.000 --> 01:24:34.000
|
||
|
|
so think about all the things
|
||
|
|
|
||
|
|
01:24:34.000 --> 01:24:35.000
|
||
|
|
that these people are making
|
||
|
|
|
||
|
|
01:24:35.000 --> 01:24:37.000
|
||
|
|
you accept as normal
|
||
|
|
|
||
|
|
01:24:38.000 --> 01:24:41.000
|
||
|
|
the pre-COVID malnutrition
|
||
|
|
|
||
|
|
01:24:41.000 --> 01:24:42.000
|
||
|
|
in our children
|
||
|
|
|
||
|
|
01:24:42.000 --> 01:24:44.000
|
||
|
|
the pre-COVID obesity
|
||
|
|
|
||
|
|
01:24:44.000 --> 01:24:45.000
|
||
|
|
in our adults
|
||
|
|
|
||
|
|
01:24:45.000 --> 01:24:47.000
|
||
|
|
the pre-COVID lack of exercise
|
||
|
|
|
||
|
|
01:24:47.000 --> 01:24:49.000
|
||
|
|
in the last 20 years
|
||
|
|
|
||
|
|
01:24:49.000 --> 01:24:51.000
|
||
|
|
of most adults in America
|
||
|
|
|
||
|
|
01:24:54.000 --> 01:24:56.000
|
||
|
|
our consumption of over-processed food
|
||
|
|
|
||
|
|
01:24:56.000 --> 01:24:58.000
|
||
|
|
that comes in boxes and bags
|
||
|
|
|
||
|
|
01:24:58.000 --> 01:24:59.000
|
||
|
|
and frozen
|
||
|
|
|
||
|
|
01:25:01.000 --> 01:25:03.000
|
||
|
|
our lack of understanding
|
||
|
|
|
||
|
|
01:25:07.000 --> 01:25:09.000
|
||
|
|
excess mortality in America
|
||
|
|
|
||
|
|
01:25:09.000 --> 01:25:11.000
|
||
|
|
is not a normal number
|
||
|
|
|
||
|
|
01:25:13.000 --> 01:25:15.000
|
||
|
|
it's not a reflection of a status quo
|
||
|
|
|
||
|
|
01:25:15.000 --> 01:25:18.000
|
||
|
|
that is healthy and thriving
|
||
|
|
|
||
|
|
01:25:19.000 --> 01:25:21.000
|
||
|
|
and so to show excess
|
||
|
|
|
||
|
|
01:25:21.000 --> 01:25:23.000
|
||
|
|
above that is not really showing
|
||
|
|
|
||
|
|
01:25:23.000 --> 01:25:25.000
|
||
|
|
anything of significance
|
||
|
|
|
||
|
|
01:25:28.000 --> 01:25:29.000
|
||
|
|
in fact it's
|
||
|
|
|
||
|
|
01:25:29.000 --> 01:25:31.000
|
||
|
|
it's not understandable at all
|
||
|
|
|
||
|
|
01:25:32.000 --> 01:25:34.000
|
||
|
|
if you're not going to count
|
||
|
|
|
||
|
|
01:25:34.000 --> 01:25:35.000
|
||
|
|
all of these things
|
||
|
|
|
||
|
|
01:25:35.000 --> 01:25:37.000
|
||
|
|
that are contributing to
|
||
|
|
|
||
|
|
01:25:37.000 --> 01:25:39.000
|
||
|
|
the excess excess deaths
|
||
|
|
|
||
|
|
01:25:43.000 --> 01:25:45.000
|
||
|
|
the sad part of this argument
|
||
|
|
|
||
|
|
01:25:45.000 --> 01:25:47.000
|
||
|
|
that it's about population control
|
||
|
|
|
||
|
|
01:25:47.000 --> 01:25:49.000
|
||
|
|
is that the last 25 years
|
||
|
|
|
||
|
|
01:25:49.000 --> 01:25:51.000
|
||
|
|
have been about population control
|
||
|
|
|
||
|
|
01:25:51.000 --> 01:25:52.000
|
||
|
|
the vaccine schedules
|
||
|
|
|
||
|
|
01:25:52.000 --> 01:25:54.000
|
||
|
|
about population control
|
||
|
|
|
||
|
|
01:25:54.000 --> 01:25:56.000
|
||
|
|
process food is about
|
||
|
|
|
||
|
|
01:25:56.000 --> 01:25:57.000
|
||
|
|
population control
|
||
|
|
|
||
|
|
01:25:57.000 --> 01:25:59.000
|
||
|
|
the widespread use of glyphosate
|
||
|
|
|
||
|
|
01:25:59.000 --> 01:26:01.000
|
||
|
|
is about population control
|
||
|
|
|
||
|
|
01:26:02.000 --> 01:26:04.000
|
||
|
|
the lack of
|
||
|
|
|
||
|
|
01:26:04.000 --> 01:26:05.000
|
||
|
|
of good public schools
|
||
|
|
|
||
|
|
01:26:05.000 --> 01:26:07.000
|
||
|
|
is about population control
|
||
|
|
|
||
|
|
01:26:09.000 --> 01:26:11.000
|
||
|
|
the transgender issue
|
||
|
|
|
||
|
|
01:26:11.000 --> 01:26:13.000
|
||
|
|
is about population control
|
||
|
|
|
||
|
|
01:26:21.000 --> 01:26:23.000
|
||
|
|
gotta come to the realization
|
||
|
|
|
||
|
|
01:26:23.000 --> 01:26:25.000
|
||
|
|
that the pandemic is just a reason to wake up
|
||
|
|
|
||
|
|
01:26:25.000 --> 01:26:27.000
|
||
|
|
a last slap across your face
|
||
|
|
|
||
|
|
01:26:27.000 --> 01:26:29.000
|
||
|
|
that if you ignore it it's over
|
||
|
|
|
||
|
|
01:26:30.000 --> 01:26:32.000
|
||
|
|
it's the last one
|
||
|
|
|
||
|
|
01:26:32.000 --> 01:26:35.000
|
||
|
|
the next slap is going to be your kids
|
||
|
|
|
||
|
|
01:26:40.000 --> 01:26:41.000
|
||
|
|
why aren't we talking about
|
||
|
|
|
||
|
|
01:26:41.000 --> 01:26:43.000
|
||
|
|
strict liability for all vaccines
|
||
|
|
|
||
|
|
01:26:43.000 --> 01:26:44.000
|
||
|
|
why aren't we talking about
|
||
|
|
|
||
|
|
01:26:44.000 --> 01:26:46.000
|
||
|
|
getting rid of the PrEP Act
|
||
|
|
|
||
|
|
01:26:46.000 --> 01:26:48.000
|
||
|
|
and the 1986 Vaccine Act
|
||
|
|
|
||
|
|
01:26:48.000 --> 01:26:50.000
|
||
|
|
through the 7th Amendment violation
|
||
|
|
|
||
|
|
01:26:50.000 --> 01:26:51.000
|
||
|
|
that they represent
|
||
|
|
|
||
|
|
01:26:51.000 --> 01:26:53.000
|
||
|
|
why aren't we talking about
|
||
|
|
|
||
|
|
01:26:53.000 --> 01:26:55.000
|
||
|
|
the zero epidemiological evidence of spread
|
||
|
|
|
||
|
|
01:26:55.000 --> 01:26:57.000
|
||
|
|
why aren't we talking about
|
||
|
|
|
||
|
|
01:26:58.000 --> 01:27:00.000
|
||
|
|
millions of dollars of projected Medicare costs
|
||
|
|
|
||
|
|
01:27:00.000 --> 01:27:01.000
|
||
|
|
that have been avoided
|
||
|
|
|
||
|
|
01:27:01.000 --> 01:27:03.000
|
||
|
|
by the uniquely focused
|
||
|
|
|
||
|
|
01:27:03.000 --> 01:27:05.000
|
||
|
|
excess deaths in Medicare
|
||
|
|
|
||
|
|
01:27:05.000 --> 01:27:07.000
|
||
|
|
populations
|
||
|
|
|
||
|
|
01:27:07.000 --> 01:27:09.000
|
||
|
|
why aren't we talking about that
|
||
|
|
|
||
|
|
01:27:09.000 --> 01:27:11.000
|
||
|
|
Brett's not savvy enough to know
|
||
|
|
|
||
|
|
01:27:11.000 --> 01:27:13.000
|
||
|
|
that for the last 20 or 15 years
|
||
|
|
|
||
|
|
01:27:13.000 --> 01:27:15.000
|
||
|
|
at least that all
|
||
|
|
|
||
|
|
01:27:15.000 --> 01:27:17.000
|
||
|
|
projections have said that
|
||
|
|
|
||
|
|
01:27:17.000 --> 01:27:19.000
|
||
|
|
wow and these boomers get old
|
||
|
|
|
||
|
|
01:27:19.000 --> 01:27:21.000
|
||
|
|
and we start spending $500,000 a year
|
||
|
|
|
||
|
|
01:27:21.000 --> 01:27:23.000
|
||
|
|
on keeping them alive
|
||
|
|
|
||
|
|
01:27:23.000 --> 01:27:25.000
|
||
|
|
this system ain't going to explode anymore
|
||
|
|
|
||
|
|
01:27:25.000 --> 01:27:27.000
|
||
|
|
the system of Social Security
|
||
|
|
|
||
|
|
01:27:27.000 --> 01:27:28.000
|
||
|
|
ain't going to float anymore
|
||
|
|
|
||
|
|
01:27:28.000 --> 01:27:31.000
|
||
|
|
unless oh goodness look what came along
|
||
|
|
|
||
|
|
01:27:31.000 --> 01:27:35.000
|
||
|
|
a whole bunch of new causes of death
|
||
|
|
|
||
|
|
01:27:35.000 --> 01:27:38.000
|
||
|
|
iatrogenic death
|
||
|
|
|
||
|
|
01:27:42.000 --> 01:27:44.000
|
||
|
|
nursing home death
|
||
|
|
|
||
|
|
01:27:44.000 --> 01:27:46.000
|
||
|
|
do not resuscitate order death
|
||
|
|
|
||
|
|
01:27:46.000 --> 01:27:50.000
|
||
|
|
opioid death
|
||
|
|
|
||
|
|
01:27:50.000 --> 01:27:53.000
|
||
|
|
it's all going to be
|
||
|
|
|
||
|
|
01:27:53.000 --> 01:27:56.000
|
||
|
|
come forgotten
|
||
|
|
|
||
|
|
01:27:56.000 --> 01:27:58.000
|
||
|
|
unless we fight
|
||
|
|
|
||
|
|
01:28:02.000 --> 01:28:04.000
|
||
|
|
ladies and gentlemen i do think it's important
|
||
|
|
|
||
|
|
01:28:04.000 --> 01:28:06.000
|
||
|
|
to remember that RNA is like
|
||
|
|
|
||
|
|
01:28:06.000 --> 01:28:08.000
|
||
|
|
a mixtape
|
||
|
|
|
||
|
|
01:28:08.000 --> 01:28:10.000
|
||
|
|
and you can't make copies of it
|
||
|
|
|
||
|
|
01:28:10.000 --> 01:28:12.000
|
||
|
|
and they're not high fidelity
|
||
|
|
|
||
|
|
01:28:12.000 --> 01:28:13.000
|
||
|
|
so if you take albums
|
||
|
|
|
||
|
|
01:28:13.000 --> 01:28:15.000
|
||
|
|
and you make a mixtape for your girlfriend
|
||
|
|
|
||
|
|
01:28:15.000 --> 01:28:17.000
|
||
|
|
that mixtape can't be copied again
|
||
|
|
|
||
|
|
01:28:17.000 --> 01:28:19.000
|
||
|
|
because that's not how
|
||
|
|
|
||
|
|
01:28:19.000 --> 01:28:21.000
|
||
|
|
cassette tapes can be copied
|
||
|
|
|
||
|
|
01:28:21.000 --> 01:28:23.000
|
||
|
|
the DNA equivalent
|
||
|
|
|
||
|
|
01:28:23.000 --> 01:28:25.000
|
||
|
|
in music of a CD
|
||
|
|
|
||
|
|
01:28:25.000 --> 01:28:27.000
|
||
|
|
then you can make a compilation CD
|
||
|
|
|
||
|
|
01:28:27.000 --> 01:28:29.000
|
||
|
|
that can be copied over and over again
|
||
|
|
|
||
|
|
01:28:29.000 --> 01:28:31.000
|
||
|
|
and that means that you can
|
||
|
|
|
||
|
|
01:28:31.000 --> 01:28:33.000
|
||
|
|
make a copy of the mix that you make
|
||
|
|
|
||
|
|
01:28:33.000 --> 01:28:35.000
|
||
|
|
for your girlfriend
|
||
|
|
|
||
|
|
01:28:35.000 --> 01:28:37.000
|
||
|
|
now RNA in the wild
|
||
|
|
|
||
|
|
01:28:37.000 --> 01:28:38.000
|
||
|
|
is basically the same thing
|
||
|
|
|
||
|
|
01:28:38.000 --> 01:28:40.000
|
||
|
|
they have a very hard time
|
||
|
|
|
||
|
|
01:28:40.000 --> 01:28:42.000
|
||
|
|
culturing it
|
||
|
|
|
||
|
|
01:28:42.000 --> 01:28:45.000
|
||
|
|
but they can occasionally sequence it
|
||
|
|
|
||
|
|
01:28:45.000 --> 01:28:47.000
|
||
|
|
and if they can sequence it
|
||
|
|
|
||
|
|
01:28:47.000 --> 01:28:49.000
|
||
|
|
then they can use synthetic means
|
||
|
|
|
||
|
|
01:28:49.000 --> 01:28:51.000
|
||
|
|
DNA copy of that sequence
|
||
|
|
|
||
|
|
01:28:51.000 --> 01:28:53.000
|
||
|
|
that they purport to have found in the wild
|
||
|
|
|
||
|
|
01:28:53.000 --> 01:28:57.000
|
||
|
|
and if they use recombinant DNA techniques
|
||
|
|
|
||
|
|
01:28:57.000 --> 01:29:00.000
|
||
|
|
to make a DNA construct of that virus
|
||
|
|
|
||
|
|
01:29:00.000 --> 01:29:02.000
|
||
|
|
they can grow that DNA in mass quantities
|
||
|
|
|
||
|
|
01:29:02.000 --> 01:29:05.000
|
||
|
|
by making plasmids of it
|
||
|
|
|
||
|
|
01:29:05.000 --> 01:29:07.000
|
||
|
|
and those plasmids
|
||
|
|
|
||
|
|
01:29:07.000 --> 01:29:09.000
|
||
|
|
with the right tweaks will be grown
|
||
|
|
|
||
|
|
01:29:09.000 --> 01:29:12.000
|
||
|
|
into large quantities by
|
||
|
|
|
||
|
|
01:29:12.000 --> 01:29:14.000
|
||
|
|
bacterial culture
|
||
|
|
|
||
|
|
01:29:14.000 --> 01:29:17.000
|
||
|
|
and very simply by tying
|
||
|
|
|
||
|
|
01:29:17.000 --> 01:29:19.000
|
||
|
|
antibiotic resistance to the expression
|
||
|
|
|
||
|
|
01:29:19.000 --> 01:29:21.000
|
||
|
|
of the plasmid
|
||
|
|
|
||
|
|
01:29:21.000 --> 01:29:23.000
|
||
|
|
then only bacteria which copy the plasmid
|
||
|
|
|
||
|
|
01:29:23.000 --> 01:29:25.000
|
||
|
|
will grow and in the end
|
||
|
|
|
||
|
|
01:29:25.000 --> 01:29:27.000
|
||
|
|
you're left with a huge
|
||
|
|
|
||
|
|
01:29:27.000 --> 01:29:29.000
|
||
|
|
a huge quantity
|
||
|
|
|
||
|
|
01:29:29.000 --> 01:29:31.000
|
||
|
|
of these plasmids which have been
|
||
|
|
|
||
|
|
01:29:34.000 --> 01:29:36.000
|
||
|
|
which may have been copied by these bacteria
|
||
|
|
|
||
|
|
01:29:36.000 --> 01:29:38.000
|
||
|
|
and you can lice the bacteria
|
||
|
|
|
||
|
|
01:29:38.000 --> 01:29:40.000
|
||
|
|
and combine those DNA
|
||
|
|
|
||
|
|
01:29:40.000 --> 01:29:42.000
|
||
|
|
with a cell culture
|
||
|
|
|
||
|
|
01:29:42.000 --> 01:29:44.000
|
||
|
|
electroporate them into a cell culture
|
||
|
|
|
||
|
|
01:29:44.000 --> 01:29:46.000
|
||
|
|
or combine them with a commercial
|
||
|
|
|
||
|
|
01:29:46.000 --> 01:29:49.000
|
||
|
|
enzyme and convert them into RNA
|
||
|
|
|
||
|
|
01:29:49.000 --> 01:29:52.000
|
||
|
|
and those pure RNA transcripts
|
||
|
|
|
||
|
|
01:29:52.000 --> 01:29:54.000
|
||
|
|
that are created in this way
|
||
|
|
|
||
|
|
01:29:54.000 --> 01:29:56.000
|
||
|
|
are called infectious clones
|
||
|
|
|
||
|
|
01:29:56.000 --> 01:29:58.000
|
||
|
|
and those infectious clones can be used
|
||
|
|
|
||
|
|
01:29:58.000 --> 01:30:00.000
|
||
|
|
in cell culture experiments
|
||
|
|
|
||
|
|
01:30:00.000 --> 01:30:03.000
|
||
|
|
they can be used in animal experiments
|
||
|
|
|
||
|
|
01:30:03.000 --> 01:30:06.000
|
||
|
|
and they can be stored and shared
|
||
|
|
|
||
|
|
01:30:06.000 --> 01:30:08.000
|
||
|
|
with colleagues around the world
|
||
|
|
|
||
|
|
01:30:08.000 --> 01:30:10.000
|
||
|
|
most importantly to understand
|
||
|
|
|
||
|
|
01:30:10.000 --> 01:30:12.000
|
||
|
|
they don't have to be made in small quantities
|
||
|
|
|
||
|
|
01:30:12.000 --> 01:30:14.000
|
||
|
|
but they can actually be made at the industrial scale
|
||
|
|
|
||
|
|
01:30:14.000 --> 01:30:16.000
|
||
|
|
in exactly the same way
|
||
|
|
|
||
|
|
01:30:16.000 --> 01:30:18.000
|
||
|
|
the process too
|
||
|
|
|
||
|
|
01:30:18.000 --> 01:30:20.000
|
||
|
|
was used to create the RNA
|
||
|
|
|
||
|
|
01:30:20.000 --> 01:30:22.000
|
||
|
|
that was injected
|
||
|
|
|
||
|
|
01:30:22.000 --> 01:30:24.000
|
||
|
|
into billions of people around the world
|
||
|
|
|
||
|
|
01:30:24.000 --> 01:30:26.000
|
||
|
|
the exact same process
|
||
|
|
|
||
|
|
01:30:26.000 --> 01:30:28.000
|
||
|
|
the exact same vats
|
||
|
|
|
||
|
|
01:30:28.000 --> 01:30:30.000
|
||
|
|
the exact same
|
||
|
|
|
||
|
|
01:30:30.000 --> 01:30:32.000
|
||
|
|
factories could be used to make
|
||
|
|
|
||
|
|
01:30:32.000 --> 01:30:34.000
|
||
|
|
large quantities of infectious RNA
|
||
|
|
|
||
|
|
01:30:34.000 --> 01:30:36.000
|
||
|
|
expressing the spike protein
|
||
|
|
|
||
|
|
01:30:36.000 --> 01:30:38.000
|
||
|
|
or expressing the whole coronavirus genome
|
||
|
|
|
||
|
|
01:30:38.000 --> 01:30:40.000
|
||
|
|
purported to exist in nature
|
||
|
|
|
||
|
|
01:30:40.000 --> 01:30:42.000
|
||
|
|
and the beauty of these clones
|
||
|
|
|
||
|
|
01:30:42.000 --> 01:30:44.000
|
||
|
|
these infectious clones
|
||
|
|
|
||
|
|
01:30:44.000 --> 01:30:46.000
|
||
|
|
is that they are a way of
|
||
|
|
|
||
|
|
01:30:46.000 --> 01:30:48.000
|
||
|
|
reliably seeding
|
||
|
|
|
||
|
|
01:30:48.000 --> 01:30:50.000
|
||
|
|
this sequence
|
||
|
|
|
||
|
|
01:30:50.000 --> 01:30:52.000
|
||
|
|
and possibly
|
||
|
|
|
||
|
|
01:30:52.000 --> 01:30:54.000
|
||
|
|
reliably seeding
|
||
|
|
|
||
|
|
01:30:54.000 --> 01:30:56.000
|
||
|
|
this sequence in high correlation
|
||
|
|
|
||
|
|
01:30:56.000 --> 01:30:58.000
|
||
|
|
with symptomology
|
||
|
|
|
||
|
|
01:30:58.000 --> 01:31:00.000
|
||
|
|
while at the same time having no
|
||
|
|
|
||
|
|
01:31:00.000 --> 01:31:02.000
|
||
|
|
reasonable expectation
|
||
|
|
|
||
|
|
01:31:02.000 --> 01:31:04.000
|
||
|
|
for a massive amount of spread
|
||
|
|
|
||
|
|
01:31:04.000 --> 01:31:06.000
|
||
|
|
simply because we already know
|
||
|
|
|
||
|
|
01:31:06.000 --> 01:31:08.000
|
||
|
|
from the original part of this slide
|
||
|
|
|
||
|
|
01:31:08.000 --> 01:31:10.000
|
||
|
|
these viruses don't really do that
|
||
|
|
|
||
|
|
01:31:10.000 --> 01:31:12.000
|
||
|
|
very well
|
||
|
|
|
||
|
|
01:31:12.000 --> 01:31:14.000
|
||
|
|
but if you made a large pure quantity
|
||
|
|
|
||
|
|
01:31:14.000 --> 01:31:16.000
|
||
|
|
of their genome
|
||
|
|
|
||
|
|
01:31:16.000 --> 01:31:18.000
|
||
|
|
then you could make it appear that way
|
||
|
|
|
||
|
|
01:31:18.000 --> 01:31:20.000
|
||
|
|
through the molecular signals
|
||
|
|
|
||
|
|
01:31:20.000 --> 01:31:22.000
|
||
|
|
that would be extremely easy to detect
|
||
|
|
|
||
|
|
01:31:22.000 --> 01:31:24.000
|
||
|
|
in that scenario where you distribute a clone
|
||
|
|
|
||
|
|
01:31:24.000 --> 01:31:26.000
|
||
|
|
around the world
|
||
|
|
|
||
|
|
01:31:26.000 --> 01:31:28.000
|
||
|
|
into a few patients in a few different places
|
||
|
|
|
||
|
|
01:31:28.000 --> 01:31:30.000
|
||
|
|
and then use that
|
||
|
|
|
||
|
|
01:31:30.000 --> 01:31:32.000
|
||
|
|
as evidence of spread
|
||
|
|
|
||
|
|
01:31:32.000 --> 01:31:34.000
|
||
|
|
if you did that in
|
||
|
|
|
||
|
|
01:31:34.000 --> 01:31:36.000
|
||
|
|
in close temporal approximation
|
||
|
|
|
||
|
|
01:31:36.000 --> 01:31:38.000
|
||
|
|
with an event like what
|
||
|
|
|
||
|
|
01:31:38.000 --> 01:31:40.000
|
||
|
|
happened in New York City that Jessica
|
||
|
|
|
||
|
|
01:31:40.000 --> 01:31:42.000
|
||
|
|
Hockett is so studiously
|
||
|
|
|
||
|
|
01:31:42.000 --> 01:31:44.000
|
||
|
|
investigating then you could very easily
|
||
|
|
|
||
|
|
01:31:44.000 --> 01:31:46.000
|
||
|
|
see how this
|
||
|
|
|
||
|
|
01:31:46.000 --> 01:31:48.000
|
||
|
|
correlation of molecular data around
|
||
|
|
|
||
|
|
01:31:48.000 --> 01:31:50.000
|
||
|
|
the world with the sparse
|
||
|
|
|
||
|
|
01:31:50.000 --> 01:31:52.000
|
||
|
|
but real
|
||
|
|
|
||
|
|
01:31:52.000 --> 01:31:54.000
|
||
|
|
mass casualty events
|
||
|
|
|
||
|
|
01:31:54.000 --> 01:31:56.000
|
||
|
|
the illusion of a spreading
|
||
|
|
|
||
|
|
01:31:56.000 --> 01:31:58.000
|
||
|
|
pandemic could be seated very easily
|
||
|
|
|
||
|
|
01:31:58.000 --> 01:32:00.000
|
||
|
|
in a matter of days or weeks
|
||
|
|
|
||
|
|
01:32:02.000 --> 01:32:04.000
|
||
|
|
and so can all the molecular
|
||
|
|
|
||
|
|
01:32:04.000 --> 01:32:06.000
|
||
|
|
biology be fraud it's not likely
|
||
|
|
|
||
|
|
01:32:06.000 --> 01:32:08.000
|
||
|
|
and in fact it definitely
|
||
|
|
|
||
|
|
01:32:08.000 --> 01:32:10.000
|
||
|
|
doesn't need to be we have the technology
|
||
|
|
|
||
|
|
01:32:10.000 --> 01:32:12.000
|
||
|
|
on our benches right now
|
||
|
|
|
||
|
|
01:32:12.000 --> 01:32:14.000
|
||
|
|
to create the illusion of the pandemic
|
||
|
|
|
||
|
|
01:32:14.000 --> 01:32:16.000
|
||
|
|
using PCR
|
||
|
|
|
||
|
|
01:32:16.000 --> 01:32:18.000
|
||
|
|
hand-high fidelity sequencing
|
||
|
|
|
||
|
|
01:32:18.000 --> 01:32:20.000
|
||
|
|
and infectious clones to do it
|
||
|
|
|
||
|
|
01:32:20.000 --> 01:32:24.000
|
||
|
|
and so it's a crime scene
|
||
|
|
|
||
|
|
01:32:24.000 --> 01:32:26.000
|
||
|
|
and we need to investigate it
|
||
|
|
|
||
|
|
01:32:26.000 --> 01:32:28.000
|
||
|
|
and we need to investigate the crime scene
|
||
|
|
|
||
|
|
01:32:28.000 --> 01:32:30.000
|
||
|
|
with this understanding of biology in mind
|
||
|
|
|
||
|
|
01:32:30.000 --> 01:32:32.000
|
||
|
|
that RNA viruses are notoriously
|
||
|
|
|
||
|
|
01:32:32.000 --> 01:32:34.000
|
||
|
|
difficult to wrangle maybe even a
|
||
|
|
|
||
|
|
01:32:34.000 --> 01:32:36.000
|
||
|
|
mythological beast
|
||
|
|
|
||
|
|
01:32:36.000 --> 01:32:40.000
|
||
|
|
and
|
||
|
|
|
||
|
|
01:32:40.000 --> 01:32:42.000
|
||
|
|
the way this mythology has been sustained
|
||
|
|
|
||
|
|
01:32:42.000 --> 01:32:44.000
|
||
|
|
in the laboratories with DNA
|
||
|
|
|
||
|
|
01:32:44.000 --> 01:32:46.000
|
||
|
|
and with the making of
|
||
|
|
|
||
|
|
01:32:46.000 --> 01:32:48.000
|
||
|
|
RNA infectious clones
|
||
|
|
|
||
|
|
01:32:50.000 --> 01:32:52.000
|
||
|
|
and so we found ourselves alone
|
||
|
|
|
||
|
|
01:32:52.000 --> 01:32:54.000
|
||
|
|
on this road being told
|
||
|
|
|
||
|
|
01:32:54.000 --> 01:32:56.000
|
||
|
|
that there was a novel virus that millions of people
|
||
|
|
|
||
|
|
01:32:56.000 --> 01:32:58.000
|
||
|
|
died and millions more were saved from
|
||
|
|
|
||
|
|
01:32:58.000 --> 01:33:00.000
|
||
|
|
that Michael came from gain of function
|
||
|
|
|
||
|
|
01:33:00.000 --> 01:33:02.000
|
||
|
|
and might come again
|
||
|
|
|
||
|
|
01:33:02.000 --> 01:33:04.000
|
||
|
|
and the car that picked us up
|
||
|
|
|
||
|
|
01:33:04.000 --> 01:33:06.000
|
||
|
|
all alone on this highway
|
||
|
|
|
||
|
|
01:33:06.000 --> 01:33:08.000
|
||
|
|
was filled with people who are unwilling
|
||
|
|
|
||
|
|
01:33:08.000 --> 01:33:10.000
|
||
|
|
to question that narrative
|
||
|
|
|
||
|
|
01:33:10.000 --> 01:33:14.000
|
||
|
|
but fully willing to tell you that they're going to give you a ride
|
||
|
|
|
||
|
|
01:33:14.000 --> 01:33:16.000
|
||
|
|
to somewhere safe
|
||
|
|
|
||
|
|
01:33:16.000 --> 01:33:18.000
|
||
|
|
when in reality
|
||
|
|
|
||
|
|
01:33:18.000 --> 01:33:20.000
|
||
|
|
I think they're just running out the clock
|
||
|
|
|
||
|
|
01:33:20.000 --> 01:33:22.000
|
||
|
|
they're just going to drive you down this road
|
||
|
|
|
||
|
|
01:33:22.000 --> 01:33:25.000
|
||
|
|
and eventually you're going to come to the conclusion
|
||
|
|
|
||
|
|
01:33:25.000 --> 01:33:27.000
|
||
|
|
that they're not driving you anywhere useful
|
||
|
|
|
||
|
|
01:33:27.000 --> 01:33:29.000
|
||
|
|
and you're going to ask to get out of the car
|
||
|
|
|
||
|
|
01:33:29.000 --> 01:33:31.000
|
||
|
|
and you're going to be right back where you started again
|
||
|
|
|
||
|
|
01:33:31.000 --> 01:33:33.000
|
||
|
|
no further along than you were
|
||
|
|
|
||
|
|
01:33:33.000 --> 01:33:35.000
|
||
|
|
and you're going to find out
|
||
|
|
|
||
|
|
01:33:35.000 --> 01:33:37.000
|
||
|
|
that they just drove you in circles
|
||
|
|
|
||
|
|
01:33:37.000 --> 01:33:39.000
|
||
|
|
for a year
|
||
|
|
|
||
|
|
01:33:39.000 --> 01:33:41.000
|
||
|
|
that's what they did to us
|
||
|
|
|
||
|
|
01:33:41.000 --> 01:33:43.000
|
||
|
|
and for a while I was participating
|
||
|
|
|
||
|
|
01:33:43.000 --> 01:33:45.000
|
||
|
|
in it
|
||
|
|
|
||
|
|
01:33:45.000 --> 01:33:47.000
|
||
|
|
as much as I wanted to be struggling against it
|
||
|
|
|
||
|
|
01:33:47.000 --> 01:33:49.000
|
||
|
|
I didn't know who all the liars were
|
||
|
|
|
||
|
|
01:33:49.000 --> 01:33:53.000
|
||
|
|
the liars were lying
|
||
|
|
|
||
|
|
01:33:53.000 --> 01:33:55.000
|
||
|
|
about knowing each other
|
||
|
|
|
||
|
|
01:33:55.000 --> 01:33:57.000
|
||
|
|
and so I was driven from one
|
||
|
|
|
||
|
|
01:33:57.000 --> 01:33:59.000
|
||
|
|
signal group to another signal group
|
||
|
|
|
||
|
|
01:33:59.000 --> 01:34:01.000
|
||
|
|
from one trusted group of people
|
||
|
|
|
||
|
|
01:34:01.000 --> 01:34:03.000
|
||
|
|
to another
|
||
|
|
|
||
|
|
01:34:03.000 --> 01:34:05.000
|
||
|
|
from one car of liars
|
||
|
|
|
||
|
|
01:34:05.000 --> 01:34:07.000
|
||
|
|
to another car of liars
|
||
|
|
|
||
|
|
01:34:07.000 --> 01:34:09.000
|
||
|
|
one car of liars drove me north
|
||
|
|
|
||
|
|
01:34:09.000 --> 01:34:11.000
|
||
|
|
and by the time I figured out they were lying
|
||
|
|
|
||
|
|
01:34:11.000 --> 01:34:13.000
|
||
|
|
I got out of there and started walking south
|
||
|
|
|
||
|
|
01:34:13.000 --> 01:34:15.000
|
||
|
|
and someone else picked me up
|
||
|
|
|
||
|
|
01:34:15.000 --> 01:34:17.000
|
||
|
|
but they were liars too
|
||
|
|
|
||
|
|
01:34:17.000 --> 01:34:21.000
|
||
|
|
and they did that to all of us
|
||
|
|
|
||
|
|
01:34:21.000 --> 01:34:23.000
|
||
|
|
every one of us has people that we followed
|
||
|
|
|
||
|
|
01:34:23.000 --> 01:34:25.000
|
||
|
|
that lied to us and then we changed our mind
|
||
|
|
|
||
|
|
01:34:25.000 --> 01:34:27.000
|
||
|
|
or tried to figure out a new way out
|
||
|
|
|
||
|
|
01:34:27.000 --> 01:34:29.000
|
||
|
|
and then another person lied to us
|
||
|
|
|
||
|
|
01:34:29.000 --> 01:34:31.000
|
||
|
|
because there were so many liars
|
||
|
|
|
||
|
|
01:34:31.000 --> 01:34:33.000
|
||
|
|
winning and unwittingly
|
||
|
|
|
||
|
|
01:34:33.000 --> 01:34:35.000
|
||
|
|
participating in this governing structure
|
||
|
|
|
||
|
|
01:34:37.000 --> 01:34:39.000
|
||
|
|
whether or not they knew the full
|
||
|
|
|
||
|
|
01:34:39.000 --> 01:34:41.000
|
||
|
|
implications of what they were doing
|
||
|
|
|
||
|
|
01:34:41.000 --> 01:34:43.000
|
||
|
|
doesn't really matter
|
||
|
|
|
||
|
|
01:34:43.000 --> 01:34:45.000
|
||
|
|
because they were sustaining this idea
|
||
|
|
|
||
|
|
01:34:45.000 --> 01:34:47.000
|
||
|
|
that something spread
|
||
|
|
|
||
|
|
01:34:47.000 --> 01:34:49.000
|
||
|
|
that didn't exist before
|
||
|
|
|
||
|
|
01:34:49.000 --> 01:34:51.000
|
||
|
|
this illusion of consensus
|
||
|
|
|
||
|
|
01:34:51.000 --> 01:34:53.000
|
||
|
|
that millions of people were killed
|
||
|
|
|
||
|
|
01:34:53.000 --> 01:34:55.000
|
||
|
|
included asymptomatic spread
|
||
|
|
|
||
|
|
01:34:57.000 --> 01:34:59.000
|
||
|
|
and I'm using this analogy
|
||
|
|
|
||
|
|
01:34:59.000 --> 01:35:01.000
|
||
|
|
of a train because it is like that
|
||
|
|
|
||
|
|
01:35:01.000 --> 01:35:03.000
|
||
|
|
once it started
|
||
|
|
|
||
|
|
01:35:05.000 --> 01:35:07.000
|
||
|
|
once the belief in this started
|
||
|
|
|
||
|
|
01:35:07.000 --> 01:35:09.000
|
||
|
|
and was ceded
|
||
|
|
|
||
|
|
01:35:09.000 --> 01:35:11.000
|
||
|
|
from the top to the bottom
|
||
|
|
|
||
|
|
01:35:11.000 --> 01:35:13.000
|
||
|
|
from the left to the right
|
||
|
|
|
||
|
|
01:35:13.000 --> 01:35:15.000
|
||
|
|
by all of these people
|
||
|
|
|
||
|
|
01:35:15.000 --> 01:35:17.000
|
||
|
|
agreeing that there was a novel virus
|
||
|
|
|
||
|
|
01:35:17.000 --> 01:35:19.000
|
||
|
|
that people are in danger of
|
||
|
|
|
||
|
|
01:35:19.000 --> 01:35:21.000
|
||
|
|
that might have come from a laboratory
|
||
|
|
|
||
|
|
01:35:21.000 --> 01:35:23.000
|
||
|
|
and therefore
|
||
|
|
|
||
|
|
01:35:23.000 --> 01:35:25.000
|
||
|
|
all of these extemporaneous measures
|
||
|
|
|
||
|
|
01:35:25.000 --> 01:35:27.000
|
||
|
|
and countermeasures and therapies
|
||
|
|
|
||
|
|
01:35:27.000 --> 01:35:29.000
|
||
|
|
are justified
|
||
|
|
|
||
|
|
01:35:29.000 --> 01:35:31.000
|
||
|
|
all this action is justified
|
||
|
|
|
||
|
|
01:35:33.000 --> 01:35:35.000
|
||
|
|
is a cognitive trap that your children
|
||
|
|
|
||
|
|
01:35:35.000 --> 01:35:37.000
|
||
|
|
are on
|
||
|
|
|
||
|
|
01:35:37.000 --> 01:35:39.000
|
||
|
|
and they are
|
||
|
|
|
||
|
|
01:35:39.000 --> 01:35:41.000
|
||
|
|
on this train because we got
|
||
|
|
|
||
|
|
01:35:41.000 --> 01:35:43.000
|
||
|
|
on the train with them
|
||
|
|
|
||
|
|
01:35:43.000 --> 01:35:45.000
|
||
|
|
we held their hand as they stepped over
|
||
|
|
|
||
|
|
01:35:45.000 --> 01:35:47.000
|
||
|
|
the gap
|
||
|
|
|
||
|
|
01:35:47.000 --> 01:35:49.000
|
||
|
|
and it is up to us to take them
|
||
|
|
|
||
|
|
01:35:49.000 --> 01:35:51.000
|
||
|
|
off this train
|
||
|
|
|
||
|
|
01:35:51.000 --> 01:35:53.000
|
||
|
|
they will not get off this train
|
||
|
|
|
||
|
|
01:35:53.000 --> 01:35:55.000
|
||
|
|
on their own
|
||
|
|
|
||
|
|
01:35:55.000 --> 01:35:57.000
|
||
|
|
they will not come to the realization
|
||
|
|
|
||
|
|
01:35:57.000 --> 01:35:59.000
|
||
|
|
that all the adults around them
|
||
|
|
|
||
|
|
01:35:59.000 --> 01:36:01.000
|
||
|
|
have been lying
|
||
|
|
|
||
|
|
01:36:01.000 --> 01:36:03.000
|
||
|
|
that all their teachers are mistaken
|
||
|
|
|
||
|
|
01:36:03.000 --> 01:36:05.000
|
||
|
|
unless we pull them off the train
|
||
|
|
|
||
|
|
01:36:05.000 --> 01:36:07.000
|
||
|
|
one by one
|
||
|
|
|
||
|
|
01:36:07.000 --> 01:36:09.000
|
||
|
|
our friends, our family
|
||
|
|
|
||
|
|
01:36:09.000 --> 01:36:11.000
|
||
|
|
our parents
|
||
|
|
|
||
|
|
01:36:11.000 --> 01:36:13.000
|
||
|
|
our co-workers
|
||
|
|
|
||
|
|
01:36:13.000 --> 01:36:15.000
|
||
|
|
need to be helped
|
||
|
|
|
||
|
|
01:36:15.000 --> 01:36:17.000
|
||
|
|
off the train
|
||
|
|
|
||
|
|
01:36:17.000 --> 01:36:19.000
|
||
|
|
with humility
|
||
|
|
|
||
|
|
01:36:19.000 --> 01:36:21.000
|
||
|
|
with empathy
|
||
|
|
|
||
|
|
01:36:21.000 --> 01:36:23.000
|
||
|
|
with love, with friendship
|
||
|
|
|
||
|
|
01:36:25.000 --> 01:36:27.000
|
||
|
|
not the people who see the narrative
|
||
|
|
|
||
|
|
01:36:27.000 --> 01:36:31.000
|
||
|
|
the people who fell victim to it
|
||
|
|
|
||
|
|
01:36:31.000 --> 01:36:35.000
|
||
|
|
the people who fell victim to the faith
|
||
|
|
|
||
|
|
01:36:35.000 --> 01:36:37.000
|
||
|
|
let's explain to them
|
||
|
|
|
||
|
|
01:36:37.000 --> 01:36:39.000
|
||
|
|
that a conflated background signal
|
||
|
|
|
||
|
|
01:36:39.000 --> 01:36:41.000
|
||
|
|
is all that is necessary
|
||
|
|
|
||
|
|
01:36:41.000 --> 01:36:43.000
|
||
|
|
and a spectacular commitment to the lie
|
||
|
|
|
||
|
|
01:36:43.000 --> 01:36:45.000
|
||
|
|
and why they would do it
|
||
|
|
|
||
|
|
01:36:45.000 --> 01:36:47.000
|
||
|
|
that's all we got to do
|
||
|
|
|
||
|
|
01:36:47.000 --> 01:36:49.000
|
||
|
|
that's all the task really is
|
||
|
|
|
||
|
|
01:36:49.000 --> 01:36:51.000
|
||
|
|
that's all we can hope to do
|
||
|
|
|
||
|
|
01:36:51.000 --> 01:36:53.000
|
||
|
|
that's all we can keep doing
|
||
|
|
|
||
|
|
01:36:53.000 --> 01:36:55.000
|
||
|
|
I got a really interesting video
|
||
|
|
|
||
|
|
01:36:55.000 --> 01:36:57.000
|
||
|
|
for tomorrow
|
||
|
|
|
||
|
|
01:36:57.000 --> 01:36:59.000
|
||
|
|
which is
|
||
|
|
|
||
|
|
01:36:59.000 --> 01:37:01.000
|
||
|
|
actually a video from the University of Chicago
|
||
|
|
|
||
|
|
01:37:01.000 --> 01:37:03.000
|
||
|
|
and what it looked like at the beginning of the pandemic
|
||
|
|
|
||
|
|
01:37:03.000 --> 01:37:05.000
|
||
|
|
at the University of Chicago
|
||
|
|
|
||
|
|
01:37:05.000 --> 01:37:07.000
|
||
|
|
I think you'll find it really interesting
|
||
|
|
|
||
|
|
01:37:07.000 --> 01:37:09.000
|
||
|
|
especially because the University of Chicago
|
||
|
|
|
||
|
|
01:37:09.000 --> 01:37:11.000
|
||
|
|
still basically has the same
|
||
|
|
|
||
|
|
01:37:11.000 --> 01:37:13.000
|
||
|
|
the same
|
||
|
|
|
||
|
|
01:37:13.000 --> 01:37:15.000
|
||
|
|
forward public facing
|
||
|
|
|
||
|
|
01:37:15.000 --> 01:37:17.000
|
||
|
|
policy about COVID
|
||
|
|
|
||
|
|
01:37:17.000 --> 01:37:19.000
|
||
|
|
it's really extraordinary
|
||
|
|
|
||
|
|
01:37:19.000 --> 01:37:21.000
|
||
|
|
for what I consider to be one
|
||
|
|
|
||
|
|
01:37:21.000 --> 01:37:23.000
|
||
|
|
of the better institutions
|
||
|
|
|
||
|
|
01:37:23.000 --> 01:37:25.000
|
||
|
|
in the United States
|
||
|
|
|
||
|
|
01:37:25.000 --> 01:37:27.000
|
||
|
|
they're really on narrative in an extraordinary way
|
||
|
|
|
||
|
|
01:37:27.000 --> 01:37:29.000
|
||
|
|
so I'm going to try and watch that tomorrow
|
||
|
|
|
||
|
|
01:37:29.000 --> 01:37:31.000
|
||
|
|
thank you very much for joining me
|
||
|
|
|
||
|
|
01:37:31.000 --> 01:37:33.000
|
||
|
|
so it was a little bit broken, angry, stream
|
||
|
|
|
||
|
|
01:37:33.000 --> 01:37:35.000
|
||
|
|
but we're just going to try and keep
|
||
|
|
|
||
|
|
01:37:35.000 --> 01:37:37.000
|
||
|
|
singing the same song over and over again
|
||
|
|
|
||
|
|
01:37:37.000 --> 01:37:39.000
|
||
|
|
to try and get it better and better
|
||
|
|
|
||
|
|
01:37:39.000 --> 01:37:41.000
|
||
|
|
and make the message clear and clear
|
||
|
|
|
||
|
|
01:37:41.000 --> 01:37:43.000
|
||
|
|
and we've got a couple really great things
|
||
|
|
|
||
|
|
01:37:43.000 --> 01:37:45.000
|
||
|
|
coming up in December including
|
||
|
|
|
||
|
|
01:37:45.000 --> 01:37:47.000
|
||
|
|
a really blow out
|
||
|
|
|
||
|
|
01:37:47.000 --> 01:37:49.000
|
||
|
|
timeline show
|
||
|
|
|
||
|
|
01:37:49.000 --> 01:37:51.000
|
||
|
|
Christmas Special
|
||
|
|
|
||
|
|
01:37:51.000 --> 01:37:53.000
|
||
|
|
we've got lots of plans and I've got lots of
|
||
|
|
|
||
|
|
01:37:53.000 --> 01:37:55.000
|
||
|
|
guests that are starting to line up to try
|
||
|
|
|
||
|
|
01:37:55.000 --> 01:37:57.000
|
||
|
|
and get on the show and have a discussion
|
||
|
|
|
||
|
|
01:37:57.000 --> 01:37:59.000
|
||
|
|
with us so I think we're going to have a couple council
|
||
|
|
|
||
|
|
01:37:59.000 --> 01:38:01.000
|
||
|
|
fires coming up in the next couple weeks
|
||
|
|
|
||
|
|
01:38:01.000 --> 01:38:03.000
|
||
|
|
I've got lots of tempting offers
|
||
|
|
|
||
|
|
01:38:03.000 --> 01:38:05.000
|
||
|
|
so we're going to see what happens but
|
||
|
|
|
||
|
|
01:38:05.000 --> 01:38:07.000
|
||
|
|
every day that I can
|
||
|
|
|
||
|
|
01:38:07.000 --> 01:38:09.000
|
||
|
|
be here I've got a secret weapon
|
||
|
|
|
||
|
|
01:38:09.000 --> 01:38:11.000
|
||
|
|
in the house for the next couple weeks
|
||
|
|
|
||
|
|
01:38:11.000 --> 01:38:13.000
|
||
|
|
and so with that secret weapon
|
||
|
|
|
||
|
|
01:38:13.000 --> 01:38:15.000
|
||
|
|
I think I'm going to be able to be a little
|
||
|
|
|
||
|
|
01:38:15.000 --> 01:38:17.000
|
||
|
|
bit more available for this stream
|
||
|
|
|
||
|
|
01:38:17.000 --> 01:38:19.000
|
||
|
|
and a little bit more focused on it
|
||
|
|
|
||
|
|
01:38:19.000 --> 01:38:21.000
|
||
|
|
that being said I also need to be present
|
||
|
|
|
||
|
|
01:38:21.000 --> 01:38:23.000
|
||
|
|
at home
|
||
|
|
|
||
|
|
01:38:23.000 --> 01:38:25.000
|
||
|
|
and so I'm going to continue to try and do this
|
||
|
|
|
||
|
|
01:38:25.000 --> 01:38:27.000
|
||
|
|
balance as best I can and I hope you will be
|
||
|
|
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01:38:27.000 --> 01:38:29.000
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patient as I do thank you very much for joining
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01:38:29.000 --> 01:38:31.000
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me and I will see you again tomorrow
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01:38:37.000 --> 01:38:41.000
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ladies and gentlemen
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01:38:41.000 --> 01:38:43.000
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intramuscular injection of any
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01:38:43.000 --> 01:38:45.000
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combination of substances with the intent
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01:38:45.000 --> 01:38:47.000
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of augmenting the immune system is dumb
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01:38:47.000 --> 01:38:49.000
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and transfection in healthy humans
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01:38:49.000 --> 01:38:51.000
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is criminally negligent
|
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01:38:51.000 --> 01:38:53.000
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viruses are not patterned integrity
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01:38:53.000 --> 01:38:55.000
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||
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|
don't forget it and I will see you tomorrow
|
||
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01:38:55.000 --> 01:38:57.000
|
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|
|
at Giga Home Biological
|
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01:39:07.000 --> 01:39:11.000
|
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Music
|
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01:39:11.000 --> 01:39:15.000
|
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|
Music
|
||
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01:39:15.000 --> 01:39:23.000
|
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|
Music
|
||
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01:39:23.000 --> 01:39:27.000
|
||
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|
Music
|
||
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01:39:27.000 --> 01:39:31.000
|
||
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|
Music
|
||
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|
01:39:31.000 --> 01:39:35.000
|
||
|
|
Music
|
||
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01:39:35.000 --> 01:39:39.000
|
||
|
|
Music
|
||
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|
||
|
|
01:39:39.000 --> 01:39:41.000
|
||
|
|
Thanks everybody for joining me
|
||
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|
||
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01:39:41.000 --> 01:39:43.000
|
||
|
|
122 people big time
|
||
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01:39:43.000 --> 01:39:45.000
|
||
|
|
I love it thank you thank you thank you
|
||
|
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|
||
|
|
01:39:45.000 --> 01:39:47.000
|
||
|
11 months ago
|
Check out Soothspider's little tools
|
||
|
12 months ago
|
|
||
|
|
01:39:47.000 --> 01:39:49.000
|
||
|
|
for making clips
|
||
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|
||
|
|
01:39:49.000 --> 01:39:51.000
|
||
|
|
I think it's really working
|
||
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|
||
|
|
01:39:51.000 --> 01:39:55.000
|
||
|
|
I don't want everybody working hard to share my
|
||
|
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|
||
|
|
01:39:55.000 --> 01:39:57.000
|
||
|
|
stream but on the other hand
|
||
|
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|
||
|
|
01:39:57.000 --> 01:39:59.000
|
||
|
|
I do really think it helps a lot
|
||
|
|
|
||
|
|
01:39:59.000 --> 01:40:01.000
|
||
|
|
so if you do have the time and the energy
|
||
|
|
|
||
|
|
01:40:01.000 --> 01:40:03.000
|
||
|
11 months ago
|
to use some of the tools that Soothspider's
|
||
|
12 months ago
|
|
||
|
|
01:40:03.000 --> 01:40:05.000
|
||
|
11 months ago
|
has made for us
|
||
|
12 months ago
|
|
||
|
|
01:40:05.000 --> 01:40:07.000
|
||
|
|
please do so and
|
||
|
|
|
||
|
|
01:40:07.000 --> 01:40:09.000
|
||
|
11 months ago
|
thank you very much Soothspider for all
|
||
|
12 months ago
|
|
||
|
|
01:40:09.000 --> 01:40:11.000
|
||
|
|
that work Pamela
|
||
|
|
|
||
|
|
01:40:11.000 --> 01:40:13.000
|
||
|
|
everybody else who's here
|
||
|
|
|
||
|
|
01:40:13.000 --> 01:40:15.000
|
||
|
|
Jeff everybody
|
||
|
|
|
||
|
|
01:40:15.000 --> 01:40:17.000
|
||
|
|
just I don't know thanks and
|
||
|
|
|
||
|
|
01:40:17.000 --> 01:40:19.000
|
||
|
|
I'll see you tomorrow night
|
||
|
|
|
||
|
|
01:40:19.000 --> 01:40:27.000
|
||
|
|
Music
|
||
|
|
|