WEBVTT - The Truth with Lisa Boothe: Dr. Harvey Risch on the Largest COVID Vax Study Ever 0:00:00.040 --> 0:00:01.080 Posed a lot. 0:00:01.200 --> 0:00:05.680 It exposed people, it exposed industries, it exposed the so 0:00:05.800 --> 0:00:09.800 called experts, it exposed our government, and we were fortunate 0:00:10.000 --> 0:00:14.400 throughout it all to have some brave truth tellers. And 0:00:14.440 --> 0:00:17.680 one of those individuals is doctor Harvey Risch. He's a 0:00:17.760 --> 0:00:20.520 senior scholar now at the Brownstone Institute. He's also a 0:00:20.560 --> 0:00:24.200 physician and a professor Moritus of Epidemiology at Yale School 0:00:24.239 --> 0:00:27.520 of Public Health and Yale School of Medicine. He's been 0:00:27.560 --> 0:00:31.040 on the podcast before. He was fearlessly on all over 0:00:31.080 --> 0:00:33.560 the news networks trying to bring us the truth about 0:00:33.600 --> 0:00:36.560 everything during COVID, including vaccines. 0:00:37.400 --> 0:00:39.440 So when I saw this study. 0:00:39.200 --> 0:00:42.320 Come out by the Global Vaccine Data Network, I wanted 0:00:42.360 --> 0:00:44.040 to have him on to walk. 0:00:43.880 --> 0:00:45.040 Us through it. 0:00:45.040 --> 0:00:48.440 It is being called the largest COVID vaccine study to date. 0:00:48.760 --> 0:00:51.520 It analyzed ninety nine million people who received the COVID 0:00:51.640 --> 0:00:55.120 vaccinations across eight countries and it found a correlation with 0:00:55.160 --> 0:01:00.440 things like myercarditis, among other things. So what should we 0:01:00.480 --> 0:01:03.080 know about this study, how was it done? And what 0:01:03.120 --> 0:01:07.679 do we know today about the COVID vaccines. Also, as 0:01:07.959 --> 0:01:10.960 more and more children and young people are encouraged to 0:01:10.959 --> 0:01:13.240 get more vaccines than they were previously. 0:01:13.920 --> 0:01:17.080 Is that needed? Is that further health or is it 0:01:17.160 --> 0:01:17.959 profit driven? 0:01:18.360 --> 0:01:20.920 We're going to dig into all of these issues and 0:01:21.000 --> 0:01:30.360 more with a truth teller, a brave man, doctor, Harvey Rish. Well, doctor, 0:01:30.400 --> 0:01:33.800 appreciate you taking the time. I saw this vaccine study 0:01:33.840 --> 0:01:36.200 that came out and I really wanted to have you 0:01:36.240 --> 0:01:38.240 on and have you kind of walk us through it. 0:01:38.280 --> 0:01:40.039 So we appreciate you making the time. 0:01:40.280 --> 0:01:41.720 Sure happy to we have. 0:01:41.880 --> 0:01:44.800 I guess they're calling it the largest COVID vaccine study 0:01:45.080 --> 0:01:49.800 to date, with a global vaccine data network analyze ninety 0:01:49.880 --> 0:01:53.280 nine million people who received the COVID vaccines or vaccinations 0:01:53.280 --> 0:01:56.960 across eight countries. I guess just for starter, you know, 0:01:57.040 --> 0:02:00.680 what are your takeaways from that study, how it was 0:02:00.720 --> 0:02:02.360 analyzed and the findings. 0:02:03.560 --> 0:02:08.560 Well, my impression is a study is basically a good one. However, 0:02:09.160 --> 0:02:14.600 the authors are all it looks like, all involved in 0:02:14.639 --> 0:02:18.799 the public health establishments of their various countries, and so 0:02:18.840 --> 0:02:22.240 they have more or less a vested interest to show 0:02:22.320 --> 0:02:25.520 that the vaccines were good, not harmful, and so on, 0:02:26.440 --> 0:02:32.480 as opposed to a disinterested, independent researcher who might have 0:02:32.680 --> 0:02:39.120 done the study. That having been said, I felt the 0:02:39.760 --> 0:02:46.919 way that the results were reported, because the analysis was 0:02:47.800 --> 0:02:52.040 an average over all age groups and so on for 0:02:52.800 --> 0:02:55.960 some of the outcomes that are much more important in 0:02:56.040 --> 0:03:02.160 defined age groups. For example, the myocdis outcome, which they 0:03:02.320 --> 0:03:06.480 reported to have a relative risk of something like sixfold 0:03:07.240 --> 0:03:12.240 after the second dose, and that's a significant symptom, but 0:03:12.600 --> 0:03:15.800 that's averaged across all age groups. We know that the 0:03:15.880 --> 0:03:20.240 risk of milcarditis is much higher in fifteen to thirty 0:03:20.320 --> 0:03:22.640 year old males and fifteen to thirty year old females 0:03:22.680 --> 0:03:28.120 for that matter, So what was the increased risk the 0:03:28.160 --> 0:03:31.320 relative risk in that age group that when you average 0:03:31.360 --> 0:03:34.520 it out over the whole population comes to sixfold. It 0:03:34.600 --> 0:03:38.800 might have been twentyfold in that age group, and they 0:03:38.880 --> 0:03:43.880 hid that by not providing that specifically. The second thing 0:03:44.840 --> 0:03:55.720 is that they did this analysis without providing any more granularity. 0:03:56.320 --> 0:03:59.520 This is an extension of what I just said, by age, 0:03:59.600 --> 0:04:03.400 by by sex, and so on, of these various factors, 0:04:03.760 --> 0:04:06.720 and then they concluded that. Oh and the other thing 0:04:06.840 --> 0:04:11.440 is that they only provided relative risks, not absolute risks. 0:04:11.720 --> 0:04:14.560 So what we really want to know is not that 0:04:14.680 --> 0:04:19.159 myocarditis has a six or twentyfold increased relative risk, but 0:04:19.240 --> 0:04:23.840 we want to know in vaccinated males aged fifteen to thirty, 0:04:24.320 --> 0:04:28.000 we want to know how many per thousand actually got myocarditis. 0:04:28.720 --> 0:04:31.880 Was it one hundred per thousand, was it ten per thousand, 0:04:32.000 --> 0:04:34.680 was it one per thousand, Even if that was increased 0:04:34.720 --> 0:04:38.800 by five or ten or twenty fold, what matters is 0:04:39.200 --> 0:04:41.599 the absolute risk, because if you're going to make a 0:04:41.640 --> 0:04:44.520 decision to go and get these vaccines, you need to 0:04:44.560 --> 0:04:47.080 know what the risk is for you, not whether it's elevated, 0:04:47.120 --> 0:04:49.359 but what the risk is for you. So if the 0:04:49.440 --> 0:04:53.440 risk is one percent, that's something really to consider carefully. 0:04:53.440 --> 0:04:56.120 If the risk is one in a thousand, well maybe 0:04:56.200 --> 0:04:59.200 it's not so bad, you understand so, and they hid 0:04:59.240 --> 0:04:59.640 that also. 0:05:01.200 --> 0:05:03.360 Isn't that kind of been the problem with all of 0:05:03.360 --> 0:05:06.359 this from the beginning in the sense of like even 0:05:06.400 --> 0:05:10.159 from the beginning with COVID, of like, Okay, yes, if 0:05:10.200 --> 0:05:13.160 you were older or if you had comorbidities, you were 0:05:13.200 --> 0:05:15.400 more at risk, but if you're young and healthy, you weren't. 0:05:15.520 --> 0:05:18.800 Or with the vaccine, Okay, maybe if you're elderly you 0:05:18.880 --> 0:05:20.600 might want to think about getting the vaccine, but if 0:05:20.600 --> 0:05:23.080 you're younger and healthy, you know, like they haven't really 0:05:23.160 --> 0:05:28.200 delineated this entire time between the specific risk profile of 0:05:28.240 --> 0:05:30.839 each group and even you know, with you describing sort 0:05:30.839 --> 0:05:33.480 of how the study was done, of not breaking down 0:05:33.480 --> 0:05:37.400 those groups when that really matters greatly in terms of 0:05:37.520 --> 0:05:39.520 you know, your risk from the vaccine or even back 0:05:39.520 --> 0:05:40.880 in the day in the beginning of this, like your 0:05:40.960 --> 0:05:41.799 risk from COVID. 0:05:44.680 --> 0:05:49.000 I think that this is much more profound even and 0:05:49.120 --> 0:05:52.600 that is that people who got COVID did not need 0:05:52.640 --> 0:05:58.520 to be vaccinated. That it's that this was a manipulated 0:05:59.400 --> 0:06:04.360 messaging that started off with the vaccines will provide ninety 0:06:04.400 --> 0:06:08.800 five percent reduced risk of getting COVID and give you immunity. Well, 0:06:09.080 --> 0:06:11.320 but they said nothing about whether you have a risk 0:06:11.360 --> 0:06:14.880 of transmitting COVID to others, whether you might get COVID anyway, 0:06:15.520 --> 0:06:19.920 and so on. And then after some six to twelve 0:06:19.920 --> 0:06:24.480 months and it was became apparent that the vaccines were leaky, 0:06:24.600 --> 0:06:29.200 that people were getting COVID even after vaccination, that the 0:06:29.839 --> 0:06:32.919 messaging changed to be, oh, it'll keep you from getting 0:06:32.920 --> 0:06:35.680 hospitalized or dying from COVID, had nothing to do with transmission, 0:06:35.680 --> 0:06:38.960 which was the real issue, and so all of this 0:06:39.480 --> 0:06:46.599 got manipulated to suit the benefit of someone some entity 0:06:47.640 --> 0:06:51.440 against the public health interests of the general population. And 0:06:52.279 --> 0:06:56.880 one ask address who was pushing this narrative that if 0:06:56.920 --> 0:07:00.000 the idea is that for many of the vaccine mandates, 0:07:00.400 --> 0:07:04.520 the rationale was you'll reduce risk of transmitting the infection 0:07:04.560 --> 0:07:07.800 to others if you get vaccinated. Well, if you've already 0:07:07.839 --> 0:07:11.200 had COVID, you reduce the risk of transmitting the virus 0:07:11.680 --> 0:07:14.080 to others to the same or greater degree than if 0:07:14.080 --> 0:07:17.120 you had been vaccinated. But people who had had COVID 0:07:17.320 --> 0:07:21.760 were not exempted from getting vaccinated, and the pushback, the 0:07:21.760 --> 0:07:24.520 messaging pushback on that was, well, you'll have even more 0:07:24.560 --> 0:07:27.120 immunity if you get vaccinated, even after you've had COVID, 0:07:27.280 --> 0:07:31.200 which was irrelevant, illogical, because the whole point was you 0:07:31.200 --> 0:07:34.640 set a standard by the mandate for how much reduced 0:07:34.720 --> 0:07:38.720 risk you might convey by getting vaccinated, and you meet 0:07:38.800 --> 0:07:43.120 that standard by an alternative form by having already had COVID. 0:07:43.480 --> 0:07:46.160 Not everybody has to map the standard wasn't everybody has 0:07:46.200 --> 0:07:49.240 to maximize their immunity. The standard was the threshold that 0:07:49.360 --> 0:07:52.760 vaccines were supposed to provide. And so this irrationality, this 0:07:52.880 --> 0:07:56.640 lack of logic, was made everybody should have made everybody 0:07:57.000 --> 0:07:59.080 sit up and say, wait a minute, this is a fraud. 0:07:59.400 --> 0:08:03.240 If if my having had COVID providing me as much 0:08:03.280 --> 0:08:07.400 immunity as the vaccines don't qualify for satisfying the vaccine mandate, 0:08:07.560 --> 0:08:11.400 then there's something else going on, and this is a fraud. 0:08:12.200 --> 0:08:15.320 Well, what do you think that something else is going on? 0:08:16.400 --> 0:08:17.240 You know why? 0:08:17.640 --> 0:08:20.880 I guess why do you think that this entire thing 0:08:20.920 --> 0:08:23.720 has just been so illogical from the beginning. 0:08:24.400 --> 0:08:28.840 Because I think there was a necessity to vaccine, vaccinate 0:08:28.880 --> 0:08:31.240 the entire planet as much as the planet as could 0:08:31.280 --> 0:08:34.880 be vaccinated, to show that a vaccine was the end 0:08:34.960 --> 0:08:39.720 product of the whole pandemic. And what the reason that 0:08:39.840 --> 0:08:41.839 I believed the vaccines had to be the end of 0:08:41.880 --> 0:08:48.800 product of the pandemic is that this virus was bioengineered. 0:08:49.200 --> 0:08:52.800 There's no question that it was bio engineered. That all 0:08:52.840 --> 0:08:59.559 of the scientific evidence, all of the spy intelligence evidence, 0:09:00.080 --> 0:09:03.920 everything points to it leaked from the Wuhan Institute of 0:09:03.960 --> 0:09:09.000 Virology that it was made under bioengineering engineering techniques that 0:09:09.400 --> 0:09:13.199 were developed by Ralph Barrack at the University of North 0:09:13.200 --> 0:09:17.840 Carolina and taught to Chinese researchers who took it to 0:09:18.320 --> 0:09:21.600 the wib In Muhana and developed it there and it 0:09:21.679 --> 0:09:27.199 leaked from there. Now you have to realize that the 0:09:27.240 --> 0:09:34.200 development of a bioengineered gain of function virus is essentially 0:09:34.240 --> 0:09:40.000 a bioweapon. That gain of function research that makes what 0:09:40.280 --> 0:09:47.600 are animal in natural viruses that exist in wildlife that 0:09:47.920 --> 0:09:52.040 might spill over into humans. In general, those viruses are 0:09:52.040 --> 0:09:56.840 not very severe in humans because they're not adapted to humans. 0:09:56.840 --> 0:10:01.040 They haven't been propagated in humans for thousands of virus 0:10:01.080 --> 0:10:05.320 generations to become adept at infecting humans. There are adept 0:10:05.400 --> 0:10:09.200 at infecting animals, and animals have different cell receptors, different 0:10:09.240 --> 0:10:12.679 molecules and so on, different immune receptors and all this 0:10:13.120 --> 0:10:19.240 that makes each animal species basically unique as a lock 0:10:19.320 --> 0:10:23.000 and key system for a virus and its species and 0:10:23.040 --> 0:10:27.800 its animal species. So this virus was perfectly adapted to 0:10:27.880 --> 0:10:31.920 humans when it was first released, which means that it 0:10:32.000 --> 0:10:35.679 was engineered for that, which means that the development of this, 0:10:35.800 --> 0:10:38.680 the research of this qualifies it to be a bioweapon 0:10:38.720 --> 0:10:41.600 because of the nature of illness and death that it 0:10:41.679 --> 0:10:45.600 caused in the population when it first was released. And 0:10:45.880 --> 0:10:49.080 we have a Bioweapons Treaty that President Ford signed in 0:10:49.120 --> 0:10:53.120 nineteen seventy five that said we are prohibited in the 0:10:53.160 --> 0:10:57.200 whole every country that signed this is prohibited from developing 0:10:57.320 --> 0:11:01.360 offensive bioweapons. It's against the law against that treaty. And 0:11:01.400 --> 0:11:05.679 the only loophole in that is that small quantities of 0:11:05.720 --> 0:11:09.760 bioweapons could be developed for the purposes of making vaccines. 0:11:10.800 --> 0:11:18.520 So that means that translate to twenty nineteen, this virus 0:11:19.120 --> 0:11:22.960 is released, and it has to be justified. All this 0:11:23.000 --> 0:11:26.280 work has to be justified because the end result was 0:11:26.320 --> 0:11:30.880 the idea of making a vaccine against it, and nobody 0:11:31.000 --> 0:11:34.040 was prepared to make that vaccine because it took a 0:11:34.120 --> 0:11:38.079 year for the vaccine to actually to be made and 0:11:38.559 --> 0:11:44.760 rolled out. And that means, and this parallels the fact 0:11:44.840 --> 0:11:50.400 that there's been this gain of function bioweapons research going 0:11:50.440 --> 0:11:54.640 on all over the world even after the Bioweapons Treaty, 0:11:55.200 --> 0:11:58.840 all of it claiming to be what's called dual use research, 0:11:59.280 --> 0:12:01.680 that it's for the purpose of making vaccines. Yet there's 0:12:01.720 --> 0:12:05.640 never been any commercial vaccines for any of these bioweapon viruses. Sure, 0:12:05.679 --> 0:12:08.880 we have vaccine research for other pathogens that we know 0:12:08.960 --> 0:12:12.880 about that exists, but that are developed as bioweapons. These 0:12:12.880 --> 0:12:16.880 are gain of function viruses that the only rationale that 0:12:16.920 --> 0:12:19.719 were allowed to have for their development is that we're 0:12:19.720 --> 0:12:23.079 making a vaccine. So the vaccine had to come out 0:12:23.440 --> 0:12:27.680 to supply the rationale, the evidence that this virus development, 0:12:28.760 --> 0:12:32.560 this bioweapons virus development, was for the purpose of making 0:12:32.600 --> 0:12:35.880 a vaccine. If there was no vaccine, then this would 0:12:35.920 --> 0:12:39.160 have been offensive bioweapon development would have been illegal against 0:12:39.160 --> 0:12:43.120 the treaty and the population. The general population would rightfully 0:12:43.400 --> 0:12:46.760 have called for a complete end to all bioweapons research 0:12:47.280 --> 0:12:50.520 because it has no benefit for It has no military 0:12:50.520 --> 0:12:53.520 benefit for US, has no defense benefit for US. It 0:12:53.559 --> 0:12:56.640 has only risk because the only benefit would be vaccines. 0:12:56.679 --> 0:12:59.480 But if there's no vaccine, then there's no benefit at all. 0:13:00.280 --> 0:13:05.559 The vaccine was a charade to justify this offensive bioweapons 0:13:05.559 --> 0:13:08.679 research that's been going on for decades and decades. The 0:13:08.880 --> 0:13:12.440 biometry industry was required to put this out in order 0:13:12.480 --> 0:13:15.640 to justify itself, to keep the general population from being 0:13:15.679 --> 0:13:17.560 outraged and shutting this industry down. 0:13:18.480 --> 0:13:20.760 So why do countries engage in it? Then? 0:13:22.360 --> 0:13:25.679 Because they are vested interests who make money off of it. 0:13:25.920 --> 0:13:29.120 There are careers that you know, all of these scientists 0:13:29.200 --> 0:13:32.679 who claim to be making vaccines for bioweapons, and all 0:13:32.720 --> 0:13:36.720 they're basically doing is developing the bioweapons as a preliminary 0:13:36.720 --> 0:13:40.760 step to making the vaccines, and their grand applications all 0:13:40.920 --> 0:13:43.160 justify it with saying they're going to make a vaccine 0:13:43.200 --> 0:13:45.280 for it, but somehow they never get around to making 0:13:45.360 --> 0:13:49.720 the vaccines because all the work is spent doing bioweapons research. 0:13:50.200 --> 0:13:52.040 We're going to take a quick break more with doctor 0:13:52.040 --> 0:13:59.559 Harvey Rish. Do we over vaccinate or society? I mean, 0:13:59.600 --> 0:14:01.280 you know, and if you look at the vaccines that 0:14:01.320 --> 0:14:04.280 are recommended to you know, children, to you know, babies, 0:14:04.280 --> 0:14:07.719 to young people, they've obviously increased over the years. I mean, 0:14:07.840 --> 0:14:10.480 is it like I'm not against all vaccines, right, Like 0:14:10.559 --> 0:14:12.839 you look at something like polio. My understanding is that 0:14:13.320 --> 0:14:16.040 it has like a fifteen to thirty percent fatality rate 0:14:16.120 --> 0:14:18.360 or something like that. That's pretty significant, right, Like polio 0:14:18.400 --> 0:14:19.320 has been around for forever. 0:14:19.440 --> 0:14:22.400 So like I'm okay with some but it does seem like. 0:14:23.240 --> 0:14:25.360 Are we being vaccinated to the point we are for 0:14:25.480 --> 0:14:29.000 financial reasons or because it's actually in or vested interests 0:14:29.040 --> 0:14:31.440 as a people in a population and a country. 0:14:32.240 --> 0:14:34.440 I don't think we can answer that question. This is 0:14:34.720 --> 0:14:39.000 controversial because some of the mandated vaccines offer things that 0:14:39.200 --> 0:14:42.920 do not have human to human transmission. For example, while 0:14:42.960 --> 0:14:45.840 I think tenness is something that people should vaccinate for, 0:14:46.360 --> 0:14:49.680 there should not be a mandate for it because tedness 0:14:49.720 --> 0:14:52.680 is not transmitted from human to human. So there's no reason. 0:14:52.800 --> 0:14:58.160 See the whole idea of vaccine mandates are to prevent transmissions, 0:14:58.240 --> 0:15:00.920 not to keep people out of the hospital for dying. 0:15:01.000 --> 0:15:03.520 That is their own medical choice. We think that prudent 0:15:03.520 --> 0:15:07.080 people would do that, but it's their fundamental freedom of 0:15:07.160 --> 0:15:07.800 choice to do that. 0:15:08.320 --> 0:15:12.800 So looking at the COVID vaccine, you know, specifically, I 0:15:12.800 --> 0:15:16.000 guess because the media really the way they covered the 0:15:16.240 --> 0:15:20.680 story and the study in general, was oh, Okay, you 0:15:20.680 --> 0:15:23.880 know there's some impact, right, Like you could have myer 0:15:23.960 --> 0:15:24.520 card itis. 0:15:24.640 --> 0:15:26.160 You know, you could have. 0:15:27.480 --> 0:15:30.280 You know, blood clots, et cetera, like these things could 0:15:30.280 --> 0:15:32.560 have but it's small. It's you know, it's not a 0:15:32.600 --> 0:15:37.000 big deal. It's like they really like downplaying it. I 0:15:37.000 --> 0:15:41.360 guess what to what extent are these COVID vaccines. 0:15:42.800 --> 0:15:47.200 Like safe? Right? Like what what what is? You know? 0:15:47.960 --> 0:15:52.400 I guess how dangerous? How safe are these COVID vaccines. 0:15:53.480 --> 0:15:57.120 Well, that's a relative standard because we've pulled vaccines from 0:15:57.200 --> 0:16:01.920 the marketplace with way way fewer at serious adverse events. 0:16:02.000 --> 0:16:04.800 In the past, the standard has been at the level 0:16:04.880 --> 0:16:07.760 of a few hundred serious adverse events the vaccine is pulled. 0:16:08.440 --> 0:16:12.160 And we know that for the COVID vaccines as of now, 0:16:12.800 --> 0:16:18.760 deaths reported to the Various database via ers deaths reported 0:16:18.760 --> 0:16:20.800 on day zero one or two. Day zero is when 0:16:20.840 --> 0:16:23.160 the day you get the vaccine, day zero one or two. 0:16:24.680 --> 0:16:27.200 In that is, twelve thousand people have died on day 0:16:27.280 --> 0:16:32.120 zero one or two of getting this vaccine. Now, I 0:16:32.120 --> 0:16:33.960 don't know what you think the background rate of people 0:16:33.960 --> 0:16:36.840 should have been dug, but it's in the maybe tens 0:16:37.720 --> 0:16:42.400 or twenties, not twelve thousand. So we know there's a 0:16:42.440 --> 0:16:46.120 major signal there that the number of deaths in the 0:16:46.240 --> 0:16:49.160 various reported is some of my thirty seven thousand now, 0:16:49.640 --> 0:16:53.640 but going out to longer time stretch after vaccination, and 0:16:53.720 --> 0:16:59.800 we've seen all this other data on excess mortality excess 0:17:01.120 --> 0:17:06.760 disability that started in twenty twenty one in national US 0:17:06.840 --> 0:17:13.040 and UK surveys that we know that these vaccines are 0:17:13.560 --> 0:17:19.240 not safe. That it's so what matters is the risk 0:17:19.400 --> 0:17:24.240 benefit quantitative relationship, and that was never provided to the 0:17:24.280 --> 0:17:29.199 population ever, So that means nobody was even able to 0:17:29.240 --> 0:17:31.960 get informed consent if they had even been told, which 0:17:31.960 --> 0:17:33.679 they hadn't been, but if they had been told that 0:17:33.720 --> 0:17:36.800 there's some risk of serious adverse events like mile chroditis 0:17:36.800 --> 0:17:39.040 and other things, they were never told how big that 0:17:39.160 --> 0:17:42.359 risk is. It was always gas lit. Oh, it's negligible, 0:17:42.359 --> 0:17:46.159 it's minor. The problem is that if you're going to 0:17:46.240 --> 0:17:51.199 vaccinate three hundred million people in the US, then something 0:17:51.240 --> 0:17:55.000 that's even one in ten thousand becomes in the thousands 0:17:55.040 --> 0:17:58.080 of people affected or tens of thousands of people affected, 0:17:58.640 --> 0:18:01.919 and that that becomes serious that you know, we can't 0:18:01.960 --> 0:18:06.200 have fifty thousand or one hundred thousand or more people 0:18:06.640 --> 0:18:12.800 severely injured, neurological diseases, clotting diseases, cancer, and other things 0:18:13.160 --> 0:18:17.000 from a vaccine, of which the virus infection that they 0:18:17.080 --> 0:18:21.399 would have gotten if the vaccine actually worked, the virus 0:18:21.440 --> 0:18:25.320 infactor were gotten, would not have anywhere near the magnitude 0:18:24.880 --> 0:18:29.800 of risk that what they experienced from the vaccine. It's 0:18:29.840 --> 0:18:32.760 a matter of risk benefit. So in the age groups 0:18:33.440 --> 0:18:37.760 that had essentially zero risk of mortality from this, which 0:18:37.800 --> 0:18:42.040 is children, young adults. There should never have been any vaccination, 0:18:42.160 --> 0:18:47.040 let alone mandated vaccination, because those people, at least the 0:18:47.040 --> 0:18:50.600 healthy ones want people who don't have chronic conditions, have 0:18:50.960 --> 0:18:53.919 had essentially statistically zero risk of dying from this virus. 0:18:54.800 --> 0:18:58.040 So there was no cause. There's no risk benefit benefit 0:18:58.119 --> 0:19:01.280 for them, only risk, and that's not appropriate. 0:19:02.240 --> 0:19:04.080 Well, you know, that's why I never got it. 0:19:04.119 --> 0:19:06.600 And also just you know, COVID was just never risk 0:19:06.600 --> 0:19:08.200 statistically to my life. 0:19:08.240 --> 0:19:10.240 And then obviously, once you know, they kind of. 0:19:10.160 --> 0:19:12.639 Started trying to coerce people and they getting it, I 0:19:12.880 --> 0:19:15.840 found that really suspicious. And then also as well, when 0:19:15.840 --> 0:19:18.399 we saw it wasn't stopping the spread of COVID, it 0:19:18.440 --> 0:19:20.640 didn't really make sense to get it period. I guess 0:19:20.640 --> 0:19:23.160 one thing I found interesting is that the study also 0:19:23.280 --> 0:19:27.199 found it wasn't just the mRNA vaccine that had led to, 0:19:27.640 --> 0:19:30.280 you know, some of these adverse reactions. They also found 0:19:30.280 --> 0:19:33.639 that the viral vector vaccines were linked to higher blood 0:19:33.640 --> 0:19:37.720 clods as well as increased likelihood of Gillian Barr syndrome, 0:19:38.440 --> 0:19:43.320 neurological or you know, And so I guess our mRNA 0:19:43.480 --> 0:19:47.520 vaccines more inherently dangerous than the viral vector vaccines or 0:19:47.680 --> 0:19:51.159 were it's just these vaccines in general. I guess like 0:19:51.200 --> 0:19:52.959 that was something I found that was a little bit 0:19:53.000 --> 0:19:56.520 interesting because I've always kind of had this, I guess, 0:19:56.640 --> 0:19:59.160 negative viewpoint on the m RNA vaccine just because it's 0:19:59.160 --> 0:20:01.719 so new. But we've done viral vector of vaccines for 0:20:01.920 --> 0:20:04.359 you know, a long time, right, So I don't know, 0:20:04.400 --> 0:20:06.879 did that surprise you or what do you kind of like, 0:20:06.920 --> 0:20:08.359 what do you what do you derive from that. 0:20:09.960 --> 0:20:16.120 Today? Nothing surprises me. I think that there's different components 0:20:16.160 --> 0:20:22.480 of hazard in this. I think that the nanolipelparticle envelope 0:20:22.520 --> 0:20:26.720 itself has a hazard. I think that the spike protein 0:20:27.480 --> 0:20:32.480 has a hazard. And I think that so the viral 0:20:32.560 --> 0:20:36.439 vector and the novavax vaccines, for example, that are not 0:20:36.720 --> 0:20:43.400 mRNA per se, those are those have spike toxicity potential problems. 0:20:43.640 --> 0:20:49.920 And then nano lipolparticle that has both its own lipid 0:20:50.200 --> 0:20:56.720 envelope problem as well as the spike protein problem. 0:20:57.040 --> 0:20:59.720 We've done because am I'm correct, viral vector vaccines are 0:20:59.720 --> 0:21:02.280 typical how vaccines are done? Correct or am I I 0:21:02.320 --> 0:21:04.399 just want to make sure I got that point correct. 0:21:04.280 --> 0:21:09.760 Well, you're talking about killed viruses basically attenuated viruses. Yes, 0:21:09.880 --> 0:21:12.600 that's a classical method of vaccines. 0:21:12.840 --> 0:21:14.359 Okay, all right, I just wanted to make sure I 0:21:14.359 --> 0:21:18.600 didn't mess that up for the audience. You know, do 0:21:19.160 --> 0:21:19.520 we know? 0:21:19.640 --> 0:21:22.520 You know, one concern I had had about the vaccine 0:21:22.520 --> 0:21:24.239 and why I didn't get it too, is just like 0:21:24.440 --> 0:21:26.520 questions about like what it could do to a woman's 0:21:26.520 --> 0:21:29.200 fertility or even a man's. Do we have any research 0:21:29.400 --> 0:21:32.840 on concerns about fertility or is that kind of something 0:21:32.880 --> 0:21:34.800 that's still unstudied. 0:21:35.760 --> 0:21:40.840 That is being studied. The CDC people have put out 0:21:41.280 --> 0:21:45.720 a few papers on that purporting to claim no hazard 0:21:46.200 --> 0:21:50.919 to fertility, whereas there have been large numbers of anecdotal 0:21:51.000 --> 0:21:56.480 reports in their early rollout of the vaccines among healthcare workers, 0:21:56.480 --> 0:22:04.120 for example, women having various really altered menstrual patterns, excess 0:22:04.160 --> 0:22:09.399 amount of flow, days of flow, menstruating on days that 0:22:09.560 --> 0:22:15.040 weren't expected to be from their periods, menopausal women having periods, 0:22:15.280 --> 0:22:19.399 all sorts of things like that that are symptomatic of 0:22:19.480 --> 0:22:24.919 something altered in their reproductive regulation. But we don't know 0:22:25.080 --> 0:22:28.080 about whether that matters for fertility or not. There have 0:22:28.280 --> 0:22:30.800 been there, I believe there is some evidence to suggest 0:22:31.560 --> 0:22:37.480 that birth rates have declined and you know, after the lockdown. 0:22:37.520 --> 0:22:39.760 I joke that I would have expected birth rates to 0:22:39.800 --> 0:22:42.960 start increasing nine months after the lockdowns, but I don't 0:22:42.960 --> 0:22:46.080 think much has been seen, and if anything, it's been 0:22:46.200 --> 0:22:49.280 decreased numbers of births. But this is going to require 0:22:49.359 --> 0:22:52.160 some much more serious study. And one of the main 0:22:52.200 --> 0:22:57.119 problems about the whole pandemic from the beginning is that 0:22:57.680 --> 0:23:00.840 the organizations that are tasked are public health organizations that 0:23:00.920 --> 0:23:05.400 are tasked with studying treatment, adverice effects, everything about it, 0:23:05.800 --> 0:23:10.240 have decidedly chosen not to look at things that might 0:23:10.359 --> 0:23:15.760 show damage or harm. They basically make claims of safety 0:23:15.960 --> 0:23:20.280 without demonstrating data to prove the safety and the I think, 0:23:20.520 --> 0:23:22.680 and they don't do the studies that could show harm. 0:23:23.160 --> 0:23:27.800 And that's been the problem, whether that was early, you know, 0:23:28.400 --> 0:23:36.320 outpatient treatment of repurposed drugs or these reproductive harms. The 0:23:36.400 --> 0:23:43.680 CDC has data on it has clinical chart information on 0:23:43.880 --> 0:23:47.520 some two hundred and twenty five I think million Americans. 0:23:48.359 --> 0:23:52.080 It has not made any of those data transparent. It 0:23:52.119 --> 0:23:58.159 has data on three hundred million Americans insurance claims. So 0:23:58.240 --> 0:24:01.399 this is the treatment data that gets filtered into the 0:24:01.680 --> 0:24:08.679 insurance payment system and Medicare and Medicaid, and it's not 0:24:08.760 --> 0:24:11.159 made any of that public. It's not analyzed any of 0:24:11.200 --> 0:24:14.760 that and made that public. So we know that these 0:24:14.800 --> 0:24:17.040 agencies have the data to do these studies and they're 0:24:17.040 --> 0:24:18.080 not revealing what they know. 0:24:19.600 --> 0:24:21.240 Really starting to believe. 0:24:21.240 --> 0:24:23.040 Also, I kind of laughed myself for a second, but 0:24:23.080 --> 0:24:26.879 the population rates just because I like, basically stayed with 0:24:26.880 --> 0:24:28.159 my parents for a while and I was like in 0:24:28.200 --> 0:24:30.840 their basement alone drinking wine. So I think maybe it's 0:24:31.000 --> 0:24:34.520 just too many people like me in that situation. But 0:24:34.720 --> 0:24:38.439 you know, I'm really starting to believe that, like the 0:24:38.480 --> 0:24:42.440 medical industry, including you know, pharmaceutical and all of it, 0:24:42.480 --> 0:24:47.200 is the purpose is more to make money than it 0:24:47.240 --> 0:24:50.040 is to bring about health in society or to keep 0:24:50.119 --> 0:24:50.640 us healthy. 0:24:51.760 --> 0:24:53.200 Well is that a fair assessment? 0:24:53.760 --> 0:25:01.920 Yes, I mean think about that. The this started way 0:25:02.160 --> 0:25:08.280 earlier than COVID. In nineteen ninety one, some investigators, some scientists, 0:25:08.359 --> 0:25:12.600 medical scientists, created a discipline they called evidence based medicine. 0:25:13.000 --> 0:25:17.240 I thought this was obnoxious, as if medicine before them 0:25:17.600 --> 0:25:19.879 was cargo cult science, that there was no science to 0:25:19.920 --> 0:25:22.840 medicine before that, which is absurd. So anyway, and what 0:25:22.880 --> 0:25:27.360 they did is they claimed that randomized control trials were 0:25:27.440 --> 0:25:32.119 the gold standard of evidence. Over time, that statement got 0:25:32.880 --> 0:25:36.800 perverted to being randomized control trials are the only acceptable 0:25:36.840 --> 0:25:41.080 form of evidence. And what that means is that because 0:25:41.119 --> 0:25:44.480 the cost of a randomized control trial is somewhere between 0:25:44.920 --> 0:25:48.400