1 01:00:02,560 --> 01:00:05,600 The American public had seen so much fear, isolation, hospitalization, and death that 00:17.720 --> 00:24.840 they were prepared, they were prepared to take mashed casualties and injury with the 00:24.840 --> 00:25.840 vaccine. 00:26.840 --> 00:31.120 The fear is off its rockers and I can tell you when doctors come out of their trance, 00:31.120 --> 00:33.760 they are in a vaccine trance right now. 00:33.760 --> 00:37.420 They are in a different zone. 00:37.420 --> 00:41.000 Doctors when I look them in the eyes, they look cloudy, they look foggy, like they know 00:41.000 --> 00:45.360 something's wrong, they know they're doing something wrong, they're kind of disturbed, 00:45.360 --> 00:47.980 but they can't seem to come out of their trance. 00:47.980 --> 00:51.160 Other doctors like me, they can see it very clearly. 00:51.160 --> 00:56.080 We would never, you give me a vial of a dangerous substance and say inject it into a pregnant 00:56.080 --> 00:57.080 woman. 00:57.080 --> 00:58.080 I won't do it. 00:58.080 --> 00:59.080 I took an oath. 00:59.080 --> 01:01.480 I swore a Hippocratic oath as a doctor. 01:01.480 --> 01:03.240 I would never do that. 01:03.240 --> 01:04.240 Stop it. 01:04.240 --> 01:08.240 Stop it right now before more people are hurt. 01:08.240 --> 01:11.560 It's not working and it's causing tremendous damage. 01:51.160 --> 01:57.520 Of the vaccines at this point across all the various metrics, are they safe? 01:57.520 --> 01:58.520 Are they effective? 01:58.520 --> 02:00.500 Let's start with are they safe? 02:00.500 --> 02:02.680 How do we know whether they're safe or not? 02:02.680 --> 02:05.600 What safety protocols are in place? 02:05.600 --> 02:07.920 What oversight is there? 02:07.920 --> 02:11.360 And I guess, you know, later we can talk about the VAERS system, you know, and what that 02:11.360 --> 02:12.360 means. 02:12.360 --> 02:13.360 Does it overcount? 02:13.360 --> 02:14.360 Does it undercount? 02:14.360 --> 02:15.360 What's your assessment right now? 02:15.360 --> 02:18.960 Have you been seeing patients who have taken the vaccine? 02:19.960 --> 02:21.720 Well, certainly I have. 02:21.720 --> 02:29.560 And so let me just say that in April, May timeframe, it became known that the virus 02:29.560 --> 02:31.820 was going to be amenable to a vaccine. 02:31.820 --> 02:37.640 So actually antibodies directed against the spike protein, which is the little spicule 02:37.640 --> 02:41.320 or the little spine that sticks out of the ball of the virus. 02:41.320 --> 02:46.320 Antibodies directed against the spike protein were what's called neutralizing. 02:46.320 --> 02:51.360 So that means that they could kind of freeze the virus and prevent the virus from basically 02:51.360 --> 02:52.360 invading the body. 02:52.360 --> 02:56.280 So that was good news to understand that, in fact, neutralizing antibodies could be 02:56.280 --> 02:57.280 raised. 02:57.280 --> 03:00.920 Many viruses are not amenable to neutralizing antibodies. 03:00.920 --> 03:04.360 We actually can't generate the antibodies to stop the virus. 03:04.360 --> 03:06.600 SARS-CoV-2, that was the case. 03:06.600 --> 03:12.600 Now the next decision was how to actually platform a vaccine. 03:12.600 --> 03:21.360 Well, what happened overseas was just to take the virus and kill the virus and inject 03:21.360 --> 03:23.320 it as a vaccine. 03:23.320 --> 03:25.440 So just the whole virus killed. 03:25.440 --> 03:27.440 And that was called the Sinovac vaccine. 03:27.440 --> 03:32.560 So that was used across India and South America, et cetera. 03:32.560 --> 03:38.640 Another method would be to just take the genetic code for the spike protein and then load it 03:38.640 --> 03:44.080 into another virus, like, for instance, an adeno-associated virus, what have you, and 03:44.080 --> 03:50.360 then kind of load it in there and see if we could actually get the body to take in a 03:50.360 --> 03:57.120 different virus and take up the material, if we could actually control that viral vector, 03:57.120 --> 03:59.380 and then have the body generate the spike protein. 03:59.380 --> 04:02.520 That became Sputnik, as an example, out of Russia. 04:02.520 --> 04:06.960 So believe it or not, there was other vaccines that came ahead of the US vaccine program. 04:07.600 --> 04:12.400 But what was chosen in the United States is what's called gene transfer technology platforms. 04:12.400 --> 04:14.880 And we had probably several dozen of them. 04:14.880 --> 04:20.960 And they featured either adenoviral DNA platforms or messenger RNA platforms. 04:20.960 --> 04:25.880 And they were designed to actually deliver genetic material in the human body and then 04:25.880 --> 04:29.720 have the body take up that material and change in a way. 04:29.720 --> 04:33.120 Most of it was designed to replace a defective gene. 04:33.120 --> 04:36.440 So an example, there's a condition called Fabre's disease that affects the heart and 04:36.440 --> 04:37.440 the kidneys. 04:37.440 --> 04:40.520 And some of these messenger RNA platforms were designed to treat Fabre's disease. 04:40.520 --> 04:43.200 They were going to replace alpha-galactosidase. 04:43.200 --> 04:48.920 They were going to replace a gene that was deficient or to treat cancer where genetic 04:48.920 --> 04:53.420 manipulation could actually augment a response to cancer or treat heart failure. 04:53.420 --> 04:56.720 So a lot of these platforms, and these have been around, seminal papers were published 04:56.720 --> 04:58.480 back in the 1980s on this. 04:58.480 --> 05:00.320 These have been around for a long time. 05:00.320 --> 05:01.320 They all failed. 05:02.200 --> 05:06.480 They actually all could not deliver that critical gene replacement. 05:06.480 --> 05:11.520 But the idea was, could we actually take the genetic code for the spike protein and load 05:11.520 --> 05:16.200 it in one of these platforms, have the body take it up, and then the body would take up 05:16.200 --> 05:20.740 the genetic material, the body would produce the spike protein, the body would respond 05:20.740 --> 05:26.020 to the spike protein, and then develop immunity against SARS-CoV-2 or COVID-19. 05:26.020 --> 05:27.500 So that was the pipe dream. 05:27.500 --> 05:30.560 And that became the central focus of Operation Warp Speed. 05:30.560 --> 05:33.600 So once that came along, we kind of saw other projects die. 05:33.600 --> 05:36.920 There was less of an interest or really no interest on early treatment. 05:36.920 --> 05:39.620 There actually was reduced interest on inpatient treatment. 05:39.620 --> 05:42.280 It was all about the vaccine, the vaccine, the vaccine. 05:42.280 --> 05:45.120 We heard this month after month after month. 05:45.120 --> 05:49.600 Americans were told, listen, stay at home, wear a mask, stay in lockdown, and wait for 05:49.600 --> 05:50.600 the vaccine. 05:50.600 --> 05:52.640 So we waited and we waited. 05:52.640 --> 05:57.380 And then it was announced the leaders became Pfizer, Moderna, and they came forward with 05:57.380 --> 05:59.380 what's called messenger RNA platform. 05:59.380 --> 06:02.760 So it's messenger RNA in a lipid nanoparticle. 06:02.760 --> 06:08.040 And then what was created was the formulation of how this was going to be injected into 06:08.040 --> 06:09.320 the body. 06:09.320 --> 06:11.740 And so there were registrational trials were done. 06:11.740 --> 06:14.140 They were very similar and they were very large. 06:14.140 --> 06:17.800 So remember, I told you treatment trials, we needed trials of 20,000 patients. 06:17.800 --> 06:19.040 We needed those trials. 06:19.040 --> 06:20.440 Never had them, never had it. 06:20.440 --> 06:24.300 But for the vaccines, oh, my Lord, we had trials of 45,000 patients. 06:24.300 --> 06:27.580 We had trials of 18,000, 16,000 in each group. 06:27.580 --> 06:31.780 We had massive clinical trials and people rushed forward for these trials. 06:31.780 --> 06:36.320 They signed up for the trials and they either got placebo or they got the vaccine. 06:36.320 --> 06:40.080 And then we watched and we waited to see what was happening. 06:40.080 --> 06:45.660 And it turns out the shocker was in November when the top line data came out in the press 06:45.660 --> 06:47.840 releases from both programs. 06:47.840 --> 06:55.040 What we learned is less than 1% of individuals who received the vaccine or received placebo, 06:55.260 --> 06:58.140 less than 1% ever got COVID-19. 06:58.140 --> 07:03.280 And I've never seen a clinical trial in my life where you do a study and you expect some 07:03.280 --> 07:06.620 type of rates of something in both groups to be less than 1%. 07:06.620 --> 07:09.300 It was like, wait a minute, how did that happen? 07:09.300 --> 07:10.300 How did they get people? 07:10.300 --> 07:15.780 I mean, we had lab positivity rates in the fall of 5%, 10%, 15%. 07:15.780 --> 07:20.840 We were seeing this on the news, like COVID-19 is steaming across America, but yet the vaccine 07:20.840 --> 07:29.780 programs recruited amazingly sterilized people, assiduous people who are not coming in contact 07:29.780 --> 07:31.020 with COVID-19. 07:31.020 --> 07:34.380 So the clinical trials worried me a little bit that, wait a minute, this isn't a very 07:34.380 --> 07:35.720 good challenge. 07:35.720 --> 07:39.700 If these people are vaccinated and even in placebo they're not getting COVID-19, it's 07:39.700 --> 07:40.900 not a very good challenge. 07:40.900 --> 07:47.460 But having said that, the rates of COVID-19 between placebo and the actual product was 07:47.460 --> 07:50.100 about a 90% reduction, 90% vaccine efficacy. 07:50.320 --> 07:53.080 And this is what we heard, 90%, 90%. 07:53.080 --> 07:56.920 But the absolute reduction was less than 1%. 07:56.920 --> 07:59.160 So the relative, so this became a selling point. 07:59.160 --> 08:03.920 Well, it's a vaccine efficacy rate of 90%, but the absolute reduction is less than 1%. 08:03.920 --> 08:08.220 What your listeners need to know is when we apply this to a population, we can only apply 08:08.220 --> 08:11.800 the absolute reduction, never the vaccine efficacy rate. 08:11.800 --> 08:15.900 So Americans thought that this was going to wipe out 90% of COVID-19. 08:15.900 --> 08:19.800 Who wouldn't think that because they were sold on this 90% reduction. 08:19.820 --> 08:24.820 Having said that, it looked like there was a sore arm, fever, rates of hospitalization 08:24.820 --> 08:29.680 and death were similar between placebo and the vaccine, and these received emergency 08:29.680 --> 08:31.260 use authorization. 08:31.260 --> 08:37.340 Now doctors didn't have much of a say in terms of who got the vaccine because doctors didn't 08:37.340 --> 08:38.340 order it. 08:38.340 --> 08:39.340 It wasn't administered in doctors' offices. 08:39.340 --> 08:43.800 There were vaccine centers set up and people were told, come on in and get the vaccine. 08:43.800 --> 08:47.420 So patients would go in and they weren't given too much guidance. 08:47.420 --> 08:48.420 Should it be Pfizer? 08:48.420 --> 08:49.420 Should it be Moderna? 08:49.420 --> 08:52.360 This was pretty much what was offered and people took the vaccine. 08:52.360 --> 08:54.120 Americans were actually kind of encouraged to do this. 08:54.120 --> 09:00.060 They were told to do this and they faithfully did through December, January, February. 09:00.060 --> 09:06.020 And I have to tell you, I was watching the data and the CDC on its website and in the 09:06.020 --> 09:11.080 consent form to patients tells them, listen, we don't know if this is going to work. 09:11.080 --> 09:16.840 We don't know if it's safe, but go to VAERS, go to Vaccine Adverse Event Reporting System, 09:16.840 --> 09:19.360 and you look at the data and you decide yourself. 09:19.360 --> 09:26.260 The CDC has been telling doctors and mid-level providers, nurses, and patients, look at 09:26.260 --> 09:27.260 VAERS. 09:27.260 --> 09:29.460 It's all over the whole website. 09:29.460 --> 09:33.260 It's all over the consent form and that's what we did. 09:33.260 --> 09:38.380 Now interestingly, this program is under emergency use authorization. 09:38.380 --> 09:39.980 The research, so it's research. 09:39.980 --> 09:45.300 The research sponsors are the Center for Disease Control and the U.S. FDA. 09:45.300 --> 09:50.840 We've never had two government bodies together be a sponsor of a major research program. 09:50.840 --> 09:54.080 Now the National Institutes of Health have been a sponsor, but this case it was the 09:54.080 --> 09:55.080 CDC and FDA. 09:55.080 --> 09:58.980 They're the implementing arms, but now they're the research sponsor. 09:58.980 --> 10:04.800 And shockingly, they did not have, and to this day they've never put together, an external 10:04.800 --> 10:10.680 critical event committee, an external data safety monitoring board, or a human ethics 10:10.680 --> 10:11.680 committee. 10:11.680 --> 10:14.480 They had these committees, by the way, in the registration trials. 10:14.480 --> 10:16.080 They had them. 10:16.080 --> 10:17.320 And these are standard. 10:17.320 --> 10:21.040 I'm telling you, every large clinical investigation has these three committees. 10:21.040 --> 10:26.120 In fact, I chair many of these committees for pharmaceutical companies and for the National 10:26.120 --> 10:27.120 Institutes of Health. 10:27.120 --> 10:30.800 I'm a household name, so I'm in this business of reviewing safety data. 10:30.800 --> 10:37.880 Well, you know, Americans, I think, should have had at least weekly, if not monthly, 10:37.880 --> 10:42.540 reviews of safety to assure Americans that the vaccines were safe. 10:42.540 --> 10:45.180 So the idea, it was a compressed timeline. 10:45.180 --> 10:49.660 You know, the typical vaccine timeline, minimum observation period would be 24 months from 10:49.660 --> 10:51.060 prior regulatory guidance. 10:51.060 --> 10:52.700 It was compressed to two months. 10:52.700 --> 10:56.340 And, you know, many things, there were many questions still left to be answered. 10:56.340 --> 10:58.000 You know, did they cause cancer? 10:58.000 --> 11:00.260 Did they cause birth defects? 11:00.260 --> 11:04.740 Did they change, did any of the genetic material change the human genome? 11:04.740 --> 11:06.620 Now the registration trials were careful. 11:06.620 --> 11:11.980 They excluded pregnant women, women of childbearing potential who couldn't guarantee contraception. 11:11.980 --> 11:16.260 They excluded COVID recovered patients because you can't get COVID again. 11:16.260 --> 11:20.460 They excluded patients who had positive antibodies, suspected COVID. 11:20.460 --> 11:22.420 So they had a pretty clean population. 11:22.420 --> 11:28.700 And, you know, even though over a short period of time, it was my judgment as a doctor that 11:28.700 --> 11:31.620 they looked safe to kind of come onto the market. 11:31.620 --> 11:36.740 So you know, probably about 70% of my patients received the vaccine in December, January, 11:36.740 --> 11:37.740 February. 11:37.740 --> 11:38.740 But by March, I was uncomfortable. 11:39.500 --> 11:44.700 And in fact, I distinctly remember in March, we were at about 1600 deaths. 11:44.700 --> 11:50.200 And the CDC put on their website that CDC and FDA doctors had reviewed all the deaths 11:50.200 --> 11:52.980 and none of them were related to the vaccine. 11:52.980 --> 11:59.280 Now looking backwards, and I've made presentations for officials in Washington on this, the mortality 11:59.280 --> 12:03.980 signal of concern emerged in our program January 22nd. 12:03.980 --> 12:07.820 And on January 22nd, we hit 186 deaths. 12:07.900 --> 12:12.820 Now for a program this size, anything that would get past about 150 deaths would be 12:12.820 --> 12:14.080 an alarm signal. 12:14.080 --> 12:19.540 We hit that 186 deaths with only 27 million Americans vaccinated. 12:19.540 --> 12:23.380 And if we would have had the proper committee structures there, a data safety monitoring 12:23.380 --> 12:28.160 board and human ethics board, I think would have shut down the program in February based 12:28.160 --> 12:30.760 on safety and the risks of death. 12:30.760 --> 12:32.420 I think about the swine flu vaccine. 12:32.420 --> 12:37.260 I mean, there were what 50, 51, 55 deaths, and they shut it down. 12:37.700 --> 12:39.700 Why wasn't that done this time? 12:39.700 --> 12:44.700 Well, we didn't have, you know, we had no press briefing on safety to Americans. 12:44.700 --> 12:49.340 We had no external committees watching over the sponsors. 12:49.340 --> 12:54.580 You know, you never assume your sponsors can fairly evaluate the program because they're 12:54.580 --> 12:55.580 invested in it. 12:55.580 --> 12:57.420 You have to have external bodies. 12:57.420 --> 13:00.020 So the structure wasn't there. 13:00.020 --> 13:03.260 And the news cycle was just get the vaccine, get the vaccine. 13:04.260 --> 13:05.260 You know, stop. 13:05.260 --> 13:09.500 We're going to review safety here and give Americans some information. 13:09.500 --> 13:11.740 In medicine, we use a term called premium no-nosery. 13:11.740 --> 13:13.700 That means above all, do no harm. 13:13.700 --> 13:18.760 If we're going to have a public use product and ask Americans to use that product, boy, 13:18.760 --> 13:19.760 it better be safe. 13:19.760 --> 13:20.760 And you're right. 13:20.760 --> 13:23.860 Swine flu, 1976, the program was shut down at 25 deaths. 13:23.860 --> 13:26.780 It turned out, I think it went up to 53 after the shutdown. 13:26.780 --> 13:29.620 There was 500 cases of Guillain-Barre syndrome. 13:29.620 --> 13:30.980 We have other vaccines. 13:31.220 --> 13:35.700 The estimates are we probably have 70 or so vaccines on the market. 13:35.700 --> 13:39.620 And because Americans take vaccines, including myself, I've had a flu shot and shingle shot 13:39.620 --> 13:40.620 this year. 13:40.620 --> 13:45.620 We've all had vaccines. 13:45.620 --> 13:53.300 That maybe 500,000 shots given per year, we know that the total number of deaths is around 13:53.300 --> 13:55.780 150 that get reported into VAERS. 13:55.780 --> 13:59.660 And it's not in any temporal relationship to the administration of the shot. 13:59.660 --> 14:02.780 It's just kind of ambiently reported in the database. 14:02.780 --> 14:04.420 We know, I'll give you an example. 14:04.420 --> 14:09.180 Americans know college kids go off and they are asked to get the meningococcal vaccine. 14:09.180 --> 14:13.820 You know, probably get 20 million college kids get the meningococcal vaccine, zero 14:13.820 --> 14:14.820 deaths. 14:14.820 --> 14:20.400 The expectation is college kids taking a vaccine, the standard in the United States, zero deaths. 14:20.400 --> 14:21.820 So here we are with COVID-19. 14:21.820 --> 14:23.220 It's January 22nd. 14:23.220 --> 14:25.340 We have 186 deaths. 14:25.340 --> 14:28.660 Kind of nobody's really letting us know this. 14:28.660 --> 14:30.820 We get to March, we're at 1600 deaths. 14:30.820 --> 14:34.160 And there's a mention, oh, it's just not related to the vaccine. 14:34.160 --> 14:36.820 And now we go fully forward today. 14:36.820 --> 14:42.180 What the CDC is telling us is there are 11,000 deaths after the vaccine, including U.S. and 14:42.180 --> 14:46.460 some non-U.S. numbers that contribute to that with Pfizer, Moderna and J&J. 14:46.460 --> 14:49.680 Now Pfizer and Moderna are 90% of the shots. 14:49.680 --> 14:52.800 So obviously they occupy 90% of the deaths. 14:52.800 --> 14:57.040 And so VAERS, because it's an open database, is amenable to research. 14:57.120 --> 15:01.680 And so since our government was not giving us safety reports, no data safety monitoring 15:01.680 --> 15:05.800 board, no reports whatsoever, we were just told there was a talking point. 15:05.800 --> 15:08.680 It said safe and effective, take the vaccine. 15:08.680 --> 15:11.840 People started saying, wait a minute, 11,000 deaths, safe and effective. 15:11.840 --> 15:13.280 And it wasn't just deaths. 15:13.280 --> 15:18.480 I mean, we had hospitalizations piling up, tens of thousands of hospitalizations, ER 15:18.480 --> 15:22.120 visits, clinic visits, other reports coming in. 15:22.120 --> 15:26.480 There was some sidetracked issues of specialty focus. 15:26.480 --> 15:31.520 So for instance, it was shown with Pfizer, Moderna, heart inflammation in young people 15:31.520 --> 15:32.520 called myocarditis. 15:32.520 --> 15:37.000 Well, the CDC had a review in June on this with a couple hundred cases. 15:37.000 --> 15:39.800 90% of the kids were hospitalized. 15:39.800 --> 15:45.360 They had chest pain and EKG changes, blood enzyme, got your opponent level elevations, 15:45.360 --> 15:48.440 heart pumping muscle function reduced by imaging. 15:48.440 --> 15:52.920 You know, to admit a kid to the hospital in their teenage or young 20s, it takes a lot 15:52.920 --> 15:54.080 to do that, honestly. 15:54.080 --> 15:56.320 So there was great concern in those 200 kids. 15:56.320 --> 15:59.440 We're at 2800 cases of myocarditis. 15:59.440 --> 16:05.320 Johnson & Johnson was paused for a review because of blood clots, blood clots in women 16:05.320 --> 16:08.280 in the brain called caverns, venous thrombosis. 16:08.280 --> 16:10.680 It was paused, but there wasn't any change in dose. 16:10.680 --> 16:12.880 There wasn't any risk mitigation. 16:12.880 --> 16:17.640 And so the FDA just put out warnings saying, listen, we got myocarditis in Pfizer, Moderna. 16:17.640 --> 16:21.640 We have blood clots in J&J in women ages 18 to 48. 16:22.080 --> 16:29.040 And we have additionally what's called Guillain-Barre syndrome or ascending paralysis in J&J. 16:29.040 --> 16:33.600 The FDA kind of said these things are out here and we keep plotting forward. 16:33.600 --> 16:37.200 So two critical analyses have been done in the last four weeks Americans should know 16:37.200 --> 16:43.840 about, one by McLaughlin and colleagues out of London and the other one by Rose from Israel. 16:43.840 --> 16:49.760 And this is what they've concluded based on their analysis of VAERS, that 50% of these 16:49.760 --> 16:53.680 deaths occur within 48 hours of getting the shot. 16:54.400 --> 16:57.600 50%, 80% of the deaths occur in a week. 16:57.600 --> 17:02.960 The majority of people are well enough to walk into a vaccine center and they have a fatal outcome. 17:04.000 --> 17:09.520 When we look at what else could have caused the death, the answer is 86% of the time, 17:09.520 --> 17:11.040 nothing else could have caused the death. 17:11.040 --> 17:14.240 It looks like the vaccine was the cause of death. 17:14.960 --> 17:18.960 We had in the last week, I know it's not scientific, but it's out there. 17:18.960 --> 17:28.320 There was a survey done on Twitter asking, has anybody fairly, does anybody know somebody 17:28.320 --> 17:30.400 who's died after taking the vaccine? 17:30.400 --> 17:32.480 About 10,000 people responded. 17:32.480 --> 17:33.760 You know what the answer was? 17:33.760 --> 17:39.600 12% of people said, yeah, I know somebody who died after taking the vaccine. 17:39.600 --> 17:43.200 So we've heard from our agencies about vaccine hesitancy. 17:43.200 --> 17:47.360 We don't want to have any interview like this that would cause vaccine hesitancy. 17:47.520 --> 17:53.040 When people see others in their circle, their family members, their church, their friends 17:53.040 --> 17:59.680 dying after the vaccine, that type of organic vaccine hesitancy, you can't stop that. 17:59.680 --> 18:04.400 And Americans at this point in time are enormously reluctant to take the vaccine. 18:04.400 --> 18:08.560 We know the vaccine rates in the United States started to drop April 8th, 18:08.560 --> 18:11.200 and they dropped and they dropped and they dropped and they dropped. 18:11.200 --> 18:15.040 Now we've gone months where the vaccine rates are incredibly low. 18:15.120 --> 18:16.560 Nobody wants to take the vaccine. 18:17.200 --> 18:19.760 And we've seen an incredible violation of human ethics. 18:20.320 --> 18:25.920 No one for an investigational product under any circumstances should receive any pressure, 18:25.920 --> 18:30.480 coercion, or threat of reprisal for not participating in research. 18:30.480 --> 18:31.600 You know what we're seeing? 18:31.600 --> 18:33.600 We're seeing million dollar raffles. 18:33.600 --> 18:36.400 Here, take the vaccine and you could be in a raffle for a million dollars. 18:36.400 --> 18:40.560 Free college tuition, giant bonuses if you would be a flight attendant, etc. 18:40.560 --> 18:42.000 And it didn't stop there. 18:42.000 --> 18:43.440 Again, people didn't sign up for these. 18:43.440 --> 18:46.160 They said, wait a minute, I don't want to die with the vaccine. 18:46.160 --> 18:49.840 Then came mandates saying, listen, if you don't take the vaccine, 18:49.840 --> 18:51.360 you're going to lose your job. 18:51.360 --> 18:55.280 And the first kind of employer to really get out there and do that was Houston Methodist. 18:55.280 --> 18:59.120 And they got Houston Methodist employees up to 98% vaccinated. 18:59.920 --> 19:03.760 There has never been a hospital outbreak of COVID-19. 19:03.760 --> 19:06.320 We've never had scores of doctors and nurses get it. 19:06.320 --> 19:07.120 It's never happened. 19:07.120 --> 19:09.600 We have actually never had a dental clinic outbreak. 19:09.600 --> 19:11.520 They've been in people's mouths all year long. 19:11.520 --> 19:13.120 No outbreaks of COVID-19. 19:13.200 --> 19:16.960 But why health care personnel were really isolated? 19:16.960 --> 19:21.040 The thought is, well, you can get it or you can give it or, quote, you need to be protected. 19:21.040 --> 19:23.600 Well, sure enough, 98% vaccinated. 19:23.600 --> 19:27.680 The people who couldn't get a lot of people were young women who were pregnant, childbearing. 19:27.680 --> 19:29.360 They were never tested in the clinical trials. 19:29.360 --> 19:31.760 We had no idea if it was safe or not in pregnant women. 19:31.760 --> 19:33.760 We know it couldn't benefit young people. 19:33.760 --> 19:35.120 Most of them are young people. 19:35.120 --> 19:36.640 In the end, they got fired. 19:36.640 --> 19:37.520 They lost their job. 19:38.080 --> 19:39.280 Didn't stop there. 19:39.280 --> 19:45.040 What we've had now in the last few weeks is a wave of announcements of people, 19:45.040 --> 19:47.200 they must take mandatory vaccines. 19:47.200 --> 19:52.000 About 9% of colleges have been told, take the vaccine or don't show up to campus. 19:52.000 --> 19:55.040 Now, these are kids who are fully engaged in college. 19:55.040 --> 19:56.560 They've paid their tuition. 19:56.560 --> 19:58.640 They're students in good standing. 19:58.640 --> 20:00.560 This is an investigational vaccine. 20:01.200 --> 20:05.680 And we know that people under age 30 have an incredibly good prognosis, 20:05.680 --> 20:07.440 like a mild case of the sniffles. 20:07.440 --> 20:11.120 Even Linus Pauling has said, don't try to vaccinate against the common cold. 20:11.120 --> 20:12.560 It's just going to cause trouble. 20:12.560 --> 20:17.680 And to have the vaccine be a menace over kids who just want to return to college 20:17.680 --> 20:19.280 is unconscionable. 20:19.280 --> 20:21.360 And you've seen fracturing of ideas on this. 20:21.360 --> 20:23.600 The state of Ohio said, no, don't do it. 20:23.600 --> 20:28.000 No college in Ohio can do this until we know more, they're safe or approved. 20:28.880 --> 20:32.240 Texas, we had an executive order, said no state institution. 20:32.240 --> 20:35.680 So Texas will only have four small colleges that have done it. 20:35.680 --> 20:39.200 But sadly, 9% of colleges, some big ones across the country, 20:39.200 --> 20:40.560 have said, we're going to do it. 20:40.560 --> 20:41.680 And it doesn't stop there. 20:41.680 --> 20:44.480 Some high schools have said, we're going to have mandates. 20:44.480 --> 20:46.880 LA Independent School District, a huge one. 20:46.880 --> 20:50.320 And then people have stepped up and said, listen, kids, even at a younger age, 20:50.320 --> 20:52.320 they have no opportunity for benefit. 20:52.320 --> 20:54.000 They only have an opportunity for harm. 20:54.000 --> 20:55.680 The parents were outraged. 20:55.680 --> 20:59.520 And finally, they got lawyers and other people in LA Independent School District 20:59.520 --> 21:00.320 back down. 21:00.320 --> 21:03.840 So what Americans should know is when you see a fracturing of policy, 21:03.840 --> 21:06.400 when you see things that seem like it's an overreach, 21:06.400 --> 21:07.760 I think everybody should be alarmed. 21:08.480 --> 21:09.520 It's very sobering. 21:09.520 --> 21:12.400 And I'm, of course, talking to you from New York, New York City. 21:12.400 --> 21:17.520 Our mayor, of course, has just announced that we will be compelled to get a key 21:17.520 --> 21:22.560 to the city, quote unquote, in order to go to restaurants or attend public events. 21:22.560 --> 21:25.840 We know that this is what's going to turn the tide. 21:25.840 --> 21:28.480 And we also know that people are going to get a really clear message. 21:28.480 --> 21:31.600 If you want to participate in our society fully, you've got to get vaccinated. 21:31.680 --> 21:32.880 You've got to get vaccinated. 21:32.880 --> 21:33.680 It's time. 21:33.680 --> 21:35.120 I've heard you mention this before. 21:35.120 --> 21:39.520 If you could just run down some of the adverse events that you personally have seen among the 21:39.520 --> 21:40.320 vaccinated. 21:41.040 --> 21:44.160 Well, I can tell you I've reviewed the literature pretty carefully on this. 21:44.160 --> 21:45.920 And the best papers by Rose et al. 21:45.920 --> 21:48.720 It's published in the American Journal of Public Health Policy and Law. 21:48.720 --> 21:56.080 And in various of the non fatal injuries, vaccine injuries, they tend to occur in younger 21:56.080 --> 21:56.880 people. 21:56.880 --> 21:58.720 And, you know, it'd be my theory. 21:58.800 --> 22:03.680 It's just a theory that maybe younger people, younger cells take up more of the genetic 22:03.680 --> 22:04.080 material. 22:04.080 --> 22:07.120 We know the genetic material is taken up into cells in the body. 22:07.120 --> 22:09.040 It's distributed all in the body. 22:09.040 --> 22:11.680 And then the spike protein is produced inside human cells. 22:11.680 --> 22:13.360 That's very abnormal. 22:13.360 --> 22:17.680 And when the spike protein comes on the cell surface of cells, the body attacks it. 22:17.680 --> 22:19.440 The body recognizes it foreign. 22:19.440 --> 22:20.720 And then it breaks free. 22:20.720 --> 22:23.360 And it circulates in the bloodstream for about two weeks. 22:23.360 --> 22:26.560 That's been shown by Ogata and colleagues from Harvard. 22:26.560 --> 22:31.600 So that's disturbing that a dangerous protein that we know by itself is dangerous, it 22:31.600 --> 22:36.080 damages blood vessels and causes blood clotting, is allowed to kind of race free in the body 22:36.080 --> 22:36.880 for two weeks. 22:36.880 --> 22:41.680 Now, the second injection of the messenger RNA vaccines tends to dampen down that measurable 22:41.680 --> 22:42.560 spike protein. 22:42.560 --> 22:45.440 But we don't know how long it stays in the body. 22:45.440 --> 22:49.280 There are estimates now that it may stay in the body for months. 22:49.280 --> 22:54.400 So you can imagine getting an implant of genetic material that stays in the body for a prolonged 22:54.400 --> 22:58.800 period of time and produces an abnormal spike protein that the body knows is abnormal. 22:58.800 --> 23:05.440 It's bound to cause inflammation, scarring, damage in the human body in vital organs over 23:05.440 --> 23:06.240 time. 23:06.240 --> 23:10.000 We know that these lipid nanoparticles can go up into the brain. 23:10.000 --> 23:16.080 They can go into the adrenal glands, the ovaries, other endocrine organs, and then dump the 23:16.080 --> 23:21.520 payload, dump the genetic payload into these kind of really sensitive tissues, dump a genetic 23:21.600 --> 23:26.320 payload into the heart in this issue of myocarditis, the skeletal muscles, the nerves. 23:26.320 --> 23:31.600 So in this analysis by Rose and colleagues, based on what's known as this dangerous mechanism 23:31.600 --> 23:36.560 of action, sure enough, the injuries are in four major organ systems, the heart, the brain, 23:37.280 --> 23:40.720 the immunologic system, and the hematologic system. 23:40.720 --> 23:47.680 And these injuries have led to, I think we're at a total now of over 100,000 hospitalizations, 23:47.680 --> 23:49.280 ER visits, and clinic visits. 23:49.280 --> 23:50.640 That is giant. 23:50.960 --> 23:55.440 Approaching 500,000 certified injuries by the CDC. 23:55.440 --> 23:59.200 500,000, that's a whole new disease category. 23:59.200 --> 24:04.240 So what I've seen in my practice is an array of neurologic syndromes, cerebellar syndromes, 24:04.240 --> 24:04.960 cerebral syndromes. 24:04.960 --> 24:10.960 It almost seems like wherever this scattergram of genetic material goes, it can damage 24:10.960 --> 24:14.240 blindness, paralysis, difficulty swallowing. 24:14.960 --> 24:22.560 The neurologic syndromes were really highlighted in a press briefing by Senator Johnson, the first 24:22.560 --> 24:25.360 vaccine injury press briefing, where people came forward. 24:25.360 --> 24:27.600 They were in the original randomized trials. 24:27.600 --> 24:29.040 And they said, you know, I signed up for this. 24:29.760 --> 24:31.520 I was very pro-vaccine. 24:31.520 --> 24:33.120 I wanted to be involved. 24:33.120 --> 24:36.400 And in fact, they were involved in the clinical trials. 24:36.400 --> 24:39.520 And it was months later where something started to go wrong in the body. 24:39.520 --> 24:43.440 It couldn't walk, seizures, blindness, paralysis, et cetera. 24:43.440 --> 24:45.840 It was really just horrifying to see. 24:45.840 --> 24:51.600 Over the past five months, Maddie has been to the ER nine times and has been hospitalized 24:51.600 --> 24:54.480 three times for a total of two months. 24:54.480 --> 24:57.600 She was totally fine before this. 24:57.600 --> 25:00.720 She did the right thing trying to help everybody else. 25:00.720 --> 25:01.840 And they're not helping her. 25:02.400 --> 25:06.800 In the end, these participants say they just want others to know what they went through. 25:06.800 --> 25:10.800 I'm not advocating anything other than to listen to these people, to see them, 25:11.360 --> 25:13.120 and take them seriously. 25:13.120 --> 25:15.760 We know, and I've seen these neurologic symptoms in my practice. 25:15.760 --> 25:17.200 Headaches is another one. 25:17.200 --> 25:19.280 Another one is ringing in the ears. 25:19.280 --> 25:22.720 I have a physician colleague who said, you know, he took one of the vaccines back in January. 25:22.720 --> 25:24.640 It's incessant ringing in the ears. 25:24.640 --> 25:28.080 It just is like, what a price to pay because this will not go away. 25:28.800 --> 25:30.640 That's on the neurologic side. 25:30.640 --> 25:32.800 The cardiac side, I've mentioned myocarditis. 25:32.800 --> 25:35.200 We don't know what the outcome is going to be there. 25:35.200 --> 25:36.400 I can tell you this much. 25:36.400 --> 25:41.120 In my practice, of course, people seek me out and I'm concerned about vaccine safety. 25:41.120 --> 25:43.760 And they'll bring me a young child who has myocarditis. 25:43.760 --> 25:47.280 I'll dutifully examine them, review the troponins, all the data. 25:47.280 --> 25:48.640 I'll enter it in VAERS. 25:48.640 --> 25:50.240 I've entered it, you know, pinpoint. 25:50.240 --> 25:51.360 Where is the hospitalization? 25:51.360 --> 25:52.320 What did the EKG show? 25:52.320 --> 25:53.120 It's pinpoint. 25:53.120 --> 25:54.400 All the lab results. 25:54.400 --> 25:59.600 It's under threat of imprisonment or federal fines if I lie in the form. 25:59.600 --> 26:02.000 So I'm telling you, what's in VAERS is done. 26:02.000 --> 26:06.560 We know 80% of what's in VAERS is reported by doctors and nurses who think the vaccine caused it. 26:07.280 --> 26:08.960 This case I'm talking about, he took the vaccine. 26:08.960 --> 26:11.040 Two days later, boom, he's got heart inflammation. 26:11.520 --> 26:11.840 It's serious. 26:12.720 --> 26:17.280 I fill this all out and I can tell you two weeks later, I get a phone call from a CDC officer 26:17.280 --> 26:20.160 who reviews everything and verifies everything. 26:20.160 --> 26:26.080 So when I'm telling you the CDC has verified 2800 cases of myocarditis, that's not fake. 26:26.080 --> 26:26.960 That's real. 26:26.960 --> 26:33.040 We have 2800 young people who had no benefit from the vaccine. 26:33.040 --> 26:34.880 Now they've got heart injury. 26:34.880 --> 26:40.640 About 25% of them from the CDC review of this have reduced heart pumping function. 26:40.640 --> 26:42.640 They're on heart failure medications. 26:42.640 --> 26:44.640 My patient's on a heart failure medication. 26:44.640 --> 26:46.480 He's trying to return to school. 26:46.480 --> 26:48.400 We don't know if he's going to develop heart failure. 26:48.400 --> 26:52.080 There's been one case that's gone all the way to a heart transplant and unfortunately, 26:52.080 --> 26:53.120 she passed away. 26:53.120 --> 26:57.360 This is basically a catastrophe in real time. 26:57.360 --> 27:00.640 These are people who have no opportunity to benefit from the vaccine. 27:00.640 --> 27:02.240 Many of them are already immune. 27:02.240 --> 27:04.000 They actually already have had COVID. 27:04.000 --> 27:05.520 They can't get it a second time. 27:05.520 --> 27:09.680 They're getting loaded with this genetic material and it's ravaging the body. 27:09.680 --> 27:13.520 On the immunologic side, that's less well-defined, but there's an array of various 27:14.240 --> 27:15.280 immunologic syndromes. 27:15.280 --> 27:20.160 I was made aware of somebody, again, in my circle with an unbelievable immune system 27:20.720 --> 27:21.440 rash. 27:21.440 --> 27:26.240 And she's gone from ER and dermatologist and other and is a relentless painful rash 27:26.240 --> 27:27.520 as one manifestation. 27:27.520 --> 27:32.720 There's a new disease in the blood system category called vaccine-induced thrombocytopenic 27:32.720 --> 27:33.200 purpurias. 27:33.200 --> 27:34.960 It's been published in the New England Journal of Medicine. 27:35.040 --> 27:40.080 Tends to occur with AstraZeneca and with J&J, but this is a blood disorder where the platelet 27:40.080 --> 27:41.280 count goes very low. 27:41.280 --> 27:42.400 Patients develop anemia. 27:42.400 --> 27:44.720 They start getting bruising and clotting at the same time. 27:45.360 --> 27:47.680 Again, this is all unnecessary. 27:47.680 --> 27:52.320 The only way to avoid this array of injuries and the risk of death is to say no to the 27:52.320 --> 27:53.040 vaccine. 27:53.040 --> 27:54.960 And that's really where we are right now. 27:54.960 --> 27:57.040 Americans are saying, listen, enough's enough. 27:57.680 --> 28:02.400 The federal agencies have not come clean with us on any type of independent safety 28:02.400 --> 28:04.320 report without any frequency. 28:04.320 --> 28:08.880 We're seven months into this and we're told on TV, safe and effective, take the vaccine. 28:08.880 --> 28:10.240 In fact, it's even worse than that. 28:10.240 --> 28:14.480 In our place of employment, we're told, take the vaccine or lose your job. 28:14.480 --> 28:17.840 In New York, you're saying you've been told, take the vaccine or you can't ride a subway, 28:17.840 --> 28:18.480 I guess. 28:18.480 --> 28:24.800 I mean, it is the tension in America right now is palpable. 28:24.800 --> 28:29.680 And I think that the latest shoe to drop is now a realization that the vaccines don't 28:29.680 --> 28:32.320 work fully and people are getting COVID anyway. 28:32.480 --> 28:37.600 I got yelled at by my mother's cardiologist when I described the shot as a gene therapy. 28:37.600 --> 28:41.760 Is that correct to say if it's having this long term effect? 28:41.760 --> 28:48.080 We've seen Dr. Bridal come out and say, you know, I was a part of developing this and 28:48.080 --> 28:52.480 we made a huge mistake because, you know, we've created something that teaches the cell 28:52.480 --> 28:55.280 to create the spike protein and the spike protein is the problem. 28:55.280 --> 29:00.320 What has been discovered by scientific community is the spike protein on its own is almost 29:00.880 --> 29:04.400 entirely responsible for the damage to cardiovascular system. 29:05.040 --> 29:06.720 If it gets into circulation. 29:06.720 --> 29:12.640 Indeed, if you inject the purified spike protein into the blood of research animals, 29:12.640 --> 29:16.480 they get all kinds of damage to cardiovascular system and it can cross the blood brain barrier 29:16.480 --> 29:17.920 and cause damage to the brain. 29:17.920 --> 29:22.960 Just assuming among, you know, kind of honest people of goodwill who were involved in this, 29:22.960 --> 29:29.200 what could they have been thinking in developing an mRNA concoction that teaches the cell to 29:29.200 --> 29:33.440 make the very thing that seems to be involved in all of the problems? 29:33.440 --> 29:35.680 What was the logic in that to begin with? 29:35.680 --> 29:39.360 And then if you could, you know, speak to what you actually think this is all about. 29:40.640 --> 29:46.960 You know, if we were to just try to put the most positive light on this, the developers 29:46.960 --> 29:52.640 could have been thinking that a small enough dose in the arm would just stay in the arm, 29:53.120 --> 30:00.400 cause enough local cells to take up the genetic material, temporarily express the spike protein 30:00.400 --> 30:02.400 and get enough of an immunity. 30:03.200 --> 30:07.840 I think if you would have told anybody last fall that these particles were going to go 30:07.840 --> 30:13.280 everywhere in the body, the brain, the heart, ovaries, adrenal glands, that they were going 30:13.280 --> 30:18.480 to produce really a large quantity of spike protein that's measurable in blood. 30:18.480 --> 30:20.640 I mean, you actually have to produce a lot to do that. 30:21.600 --> 30:24.960 And that spike protein itself is independently dangerous. 30:24.960 --> 30:28.080 All this became knowledge that converged over the last year. 30:28.080 --> 30:33.120 I think any vaccine developer would say, you know what, this is sounding pretty scary, 30:33.120 --> 30:34.000 pretty dangerous. 30:34.000 --> 30:37.760 Let's go ahead and put the brakes on this program. 30:38.400 --> 30:43.360 But it got out and it got out under this rushed operation warp speed. 30:43.360 --> 30:46.320 And we've now we had two administrations behind this. 30:47.200 --> 30:50.800 We have basically sold academic medicine. 30:50.800 --> 30:54.480 Remember, academic medicine was on the sidelines for early treatment. 30:54.480 --> 30:57.120 They had been barraged with these inpatients. 30:57.120 --> 31:02.240 They were thirsty and prepared to accept and promote the vaccine. 31:02.800 --> 31:06.560 Every single major medical group, the American Medical Association, American College of 31:07.200 --> 31:13.520 Physicians, every state medical society had vaccine town halls, how to promote vaccine acceptance. 31:13.520 --> 31:16.240 There was vaccine hubris in America. 31:16.960 --> 31:21.280 I remember back early on in the program, there was even a Saturday Night Live skit 31:21.280 --> 31:22.640 where people were dancing around. 31:22.640 --> 31:24.080 They took the vaccine, what have you. 31:24.800 --> 31:30.320 The word vaccine is used now more in our vocabulary than I think that any other 31:30.320 --> 31:35.520 word outside of pronouns and verbs, action verbs. 31:35.520 --> 31:38.960 It is extraordinary that we have vaccine on the mind. 31:39.520 --> 31:41.520 But it obviously was a mistake. 31:42.080 --> 31:45.200 And things have gotten far out of hand. 31:45.200 --> 31:50.080 We're at about half of Americans have taken the vaccine, half the Americans haven't taken 31:50.080 --> 31:50.560 the vaccine. 31:50.560 --> 31:50.880 And you know what? 31:50.880 --> 31:51.920 They don't want it. 31:51.920 --> 31:53.120 They've expressed their will. 31:53.120 --> 31:54.160 They don't want it. 31:54.160 --> 31:56.640 We know in Japan, it's fewer than 20%. 31:57.280 --> 31:58.400 Japanese are very interesting. 31:58.400 --> 32:00.000 They held back on this. 32:00.000 --> 32:01.920 They knew the Olympics were coming. 32:01.920 --> 32:05.760 They saw this and they said, uh-uh, this doesn't look good. 32:05.760 --> 32:08.640 They've really restricted their use. 32:08.640 --> 32:13.600 I was early on in the program and messaging saying, listen, high-risk patients, seniors, 32:13.600 --> 32:18.480 nursing home workers, I think we could have gotten out of it with five, 10, maybe 15 million, 32:18.480 --> 32:20.240 maybe 20 million people vaccinated. 32:20.240 --> 32:20.800 Stop there. 32:21.600 --> 32:22.800 Assess safety. 32:22.800 --> 32:24.000 Let's do a deep dive. 32:24.000 --> 32:24.720 Is it working? 32:24.720 --> 32:25.440 Is it not? 32:25.440 --> 32:30.960 I never would have suggested at all that someone who's COVID recovered, who has a 32:30.960 --> 32:34.160 negligible chance of ever getting COVID, that person should never get a vaccine. 32:34.240 --> 32:39.440 In fact, we have three papers, camera, methodius, and raw that have showed that patients get 32:40.320 --> 32:44.000 more severe reactions and damage when they take the COVID-19. 32:44.000 --> 32:45.680 When they've previously had COVID, it makes sense. 32:45.680 --> 32:49.680 You don't want to re-rev up this immune system response in the body. 32:49.680 --> 32:50.080 Bad news. 32:50.080 --> 32:51.200 It would never do it. 32:51.200 --> 32:58.880 I never, under any circumstances, would ever advise or be a party to a pregnant woman 32:58.880 --> 33:01.600 or a woman of childbearing potential to get the vaccine. 33:01.600 --> 33:02.240 Why? 33:02.240 --> 33:08.240 We never inject substances in a pregnant woman's body that are potentially dangerous. 33:08.240 --> 33:11.120 We know the spike protein is more than potentially dangerous. 33:11.120 --> 33:12.640 It's flat out lethal. 33:12.640 --> 33:18.160 And in a woman, the blood system and the blood flow to the placenta is everything. 33:18.160 --> 33:21.920 We would never inject a substance in the body that creates something like spike protein 33:21.920 --> 33:24.960 that damages blood vessels and causes blood clotting. 33:24.960 --> 33:26.800 We never would do that. 33:26.800 --> 33:31.280 In women, we only allow inactivated flu, tetanus, diphtheria, and pertussis. 33:31.280 --> 33:31.760 That's it. 33:32.320 --> 33:32.880 Only. 33:32.880 --> 33:33.440 Period. 33:33.440 --> 33:36.560 And we actually have classes in pregnancy, class A, B, and C, 33:37.600 --> 33:39.040 about allowable drugs. 33:39.040 --> 33:42.640 And drugs are considered dangerous until proven safe. 33:42.640 --> 33:43.920 Dangerous to prove and safe. 33:43.920 --> 33:46.160 This has a dangerous mechanism of action. 33:46.160 --> 33:50.640 And we have a recent publication in TrialSite News where we had to get this out there. 33:50.640 --> 33:53.760 We said, listen, this is pregnancy category X, everybody. 33:53.760 --> 33:54.880 No use. 33:54.880 --> 33:55.600 None. 33:55.600 --> 33:56.160 Zero. 33:56.160 --> 34:00.240 And you know, as you sit here today, the American College of Vestectors and Gynecology 34:00.240 --> 34:01.920 tells women, take the vaccine. 34:02.640 --> 34:05.760 Medical care is off its rockers. 34:05.760 --> 34:10.400 And I can tell you, when doctors come out of their trance, they are in a vaccine trance 34:10.400 --> 34:11.280 right now. 34:11.280 --> 34:14.640 They are in a different zone. 34:14.640 --> 34:17.200 Doctors, when I look them in the eyes, they look cloudy. 34:17.200 --> 34:18.080 They look foggy. 34:18.080 --> 34:19.520 Like, they know something's wrong. 34:19.520 --> 34:21.360 They know they're doing something wrong. 34:21.360 --> 34:22.800 They're kind of disturbed. 34:22.800 --> 34:25.360 But they can't seem to come out of their trance. 34:25.360 --> 34:27.840 Other doctors, like me, they can see it very clearly. 34:28.640 --> 34:32.160 We would never—you give me a vial of a dangerous substance. 34:32.160 --> 34:33.920 And say, inject it into a pregnant woman. 34:33.920 --> 34:35.040 I won't do it. 34:35.040 --> 34:36.160 I took an oath. 34:36.160 --> 34:39.040 I swore a Hippocratic oath as a doctor. 34:39.040 --> 34:40.240 I would never do that. 34:40.240 --> 34:42.400 How about a woman with childbearing potential? 34:42.400 --> 34:44.960 Do these drugs cause birth defects or not? 34:44.960 --> 34:45.760 Well, we don't know. 34:46.480 --> 34:51.360 Wouldn't a pregnant woman or wouldn't a woman who's trying to conceive be concerned 34:51.360 --> 34:55.360 about a product which we now know hyperconcentrates in the ovaries? 34:56.000 --> 34:59.680 So what happened is the Japanese were suspicious. 34:59.680 --> 35:01.840 They said, wait a minute, where do these particles go? 35:02.560 --> 35:05.280 I think the regulatory discussions, well, they just stay in the arm. 35:05.280 --> 35:07.200 Japanese said, wait a minute, show us. 35:07.200 --> 35:10.000 And so they made Pfizer do a biodistribution study. 35:10.000 --> 35:14.720 Pfizer injected lipid nanoparticles, not the RNA, but the lipid nanoparticles in animals, 35:14.720 --> 35:17.440 and used a radiotracer and showed where it went in the body. 35:17.440 --> 35:20.560 And sure enough, they go into all the organs, and then they wash out. 35:20.560 --> 35:24.560 But the one organ where it continues to rise and concentrate is the ovaries. 35:24.560 --> 35:28.720 And that information was gained from a Freedom of Information Act from Canada, 35:28.720 --> 35:32.240 Dr. Byron Bridle from the Japanese regulatory authorities. 35:32.240 --> 35:36.240 And that's when the news broke that the vaccines hyperconcentrate 35:36.240 --> 35:38.720 the lipid nanoparticles in the ovaries. 35:38.720 --> 35:44.320 Separately, the European Medical Association, EMA, asked Moderna, wait a minute, 35:44.320 --> 35:46.320 do these actually influence fertility? 35:46.320 --> 35:49.840 And Moderna was asked to produce a fertility study in animals. 35:49.840 --> 35:54.320 And sure enough, Moderna reduced fertility in animals. 35:54.320 --> 35:58.240 Now, the threshold to kill the program was a 25% reduction in fertility in animals. 35:58.240 --> 36:02.800 It's hard to judge because the animals, they fornicate, and it's hard to judge it. 36:03.440 --> 36:07.040 But the number they came up with was 16% reduction in fertility. 36:07.040 --> 36:10.320 So when we put this together, and if you were to ask me, Dr. McCullough, 36:10.320 --> 36:15.040 in a young woman, is it possible that these vaccines could actually reduce fertility? 36:15.040 --> 36:19.760 I'm telling you, I think it's biologically plausible that, in fact, that could happen. 36:19.760 --> 36:24.320 One of the things we noticed in the vaccine program is women noticed their periods changing. 36:24.320 --> 36:26.000 They noticed, boy, my menstruation changes. 36:26.000 --> 36:28.000 There have been reports of postmenopausal women. 36:28.480 --> 36:31.760 I've received these reports, starting to have vaginal bleeding. 36:31.760 --> 36:35.760 So it gave an idea that, wait a minute, these are actually going to the ovaries. 36:35.760 --> 36:38.160 So I think Americans and people worldwide should be, 36:38.880 --> 36:42.720 I've been pinpoint with my citations, by the way, and I'm very concerned about 36:43.600 --> 36:46.000 information and misinformation being labeled. 36:46.000 --> 36:54.880 What I'm giving you on this video is complete and total citable, verifiable, fact-checkable information. 36:54.880 --> 36:59.440 And this information here is very disturbing regarding potential impact on fertility. 36:59.440 --> 37:04.560 The doctors you're talking to and the doctors that I've run into in my daily life or my friends 37:04.560 --> 37:07.920 or in my family, they're in the trance that you described. 37:07.920 --> 37:11.040 But what about whoever's driving this? 37:11.040 --> 37:15.040 Is there any benign explanation for what they are doing? 37:15.040 --> 37:18.160 Or what is the possible malign explanation? 37:18.160 --> 37:20.560 We're seeing this is a global program. 37:21.360 --> 37:27.520 You've described some of the other vaccines as perhaps not as dangerous in effect, 37:27.520 --> 37:31.520 but the entire world shut down, all the same language was used, 37:31.520 --> 37:37.760 the same propaganda campaigns seem to be simultaneously rolled out everywhere. 37:37.760 --> 37:41.680 So what do you think is going on, to the extent that you feel comfortable talking about? 37:41.680 --> 37:43.200 I know I'm asking you to speculate. 37:43.920 --> 37:45.360 Well, you mentioned a couple of things. 37:45.360 --> 37:48.960 A, it's global, which is true, very global. 37:49.680 --> 37:54.320 Less than 20% of the world has taken a vaccine, fortunately. 37:55.680 --> 38:01.200 We know that in places outside the United States, things are much worse. 38:02.080 --> 38:06.000 We've seen reports from Indonesia, people being told they can't get government checks 38:06.000 --> 38:07.040 or receive health care. 38:07.040 --> 38:10.400 In Italy, it's been announced you can't get care in a clinic and hospital. 38:11.200 --> 38:17.040 In Australia, people are in endless lockdowns despite hardly any cases of COVID-19. 38:17.120 --> 38:21.040 And then we hear things that are just like you can't make this up. 38:21.040 --> 38:26.000 United Kingdom, they have hundreds of thousands of patients reported in the UK 38:26.640 --> 38:29.200 weekly report that comes out, the variant report. 38:29.200 --> 38:32.640 And of the Delta variant, which is now the predominant variant, 38:32.640 --> 38:35.520 42% of individuals are fully vaccinated. 38:35.520 --> 38:40.160 Unfortunately, Delta, very low mortality, it's easier virus to treat and manage. 38:40.800 --> 38:46.560 But of the patients who died with Delta in the UK, 65% fully vaccinated. 38:47.040 --> 38:49.440 There's quite a lot of good news about COVID-19 recently, 38:49.440 --> 38:52.080 but some people have been pointing towards quite a scary statistic, 38:52.080 --> 38:53.520 certainly scary on the surface. 38:53.520 --> 38:55.840 And it comes in this table from Public Health England, 38:55.840 --> 38:58.800 looking at who's got the Delta variants and what's happened to them later on. 38:58.800 --> 39:00.720 And I'll just circle it, you can see it there. 39:00.720 --> 39:05.840 Look, of those who received two doses of the vaccination, 224 died. 39:05.840 --> 39:08.800 In fact, actually, if you look across those who have been vaccinated, 39:08.800 --> 39:13.040 one or two dose, the majority of those deaths were people who were vaccinated. 39:13.040 --> 39:15.600 It's raised as a question, are the vaccines working? 39:15.600 --> 39:16.560 What's going wrong here? 39:16.560 --> 39:19.840 There was an outbreak in Finland, in Finland. 39:20.640 --> 39:25.600 And this is published in the literature, I believe it's Hetimäki, it's a Finnish name, 39:25.600 --> 39:30.400 who published it, of patients in like a secondary hospital, 39:30.400 --> 39:32.320 almost like a nursing home, and workers. 39:33.120 --> 39:41.360 And the patients of the 24 patients who got COVID-19, 18 of them were fully vaccinated. 39:42.000 --> 39:44.960 So we have reports from multiple places in the world. 39:44.960 --> 39:47.920 It looks like the vaccines don't work. 39:47.920 --> 39:52.160 We had a wedding in Houston, where people were carefully tested. 39:52.160 --> 39:54.160 They were all vaccinated. 39:54.160 --> 39:58.400 We had a Democratic plane flight from Texas to Washington, all vaccinated. 39:58.400 --> 40:03.360 And then we had a British naval vessel, 3700 young men, all vaccinated. 40:03.360 --> 40:06.480 All three of these events, there were outbreaks of COVID-19. 40:07.200 --> 40:09.360 And the Houston wedding was interesting. 40:09.360 --> 40:13.840 It's all presumed to be Delta, but there's a paper by Farron Holt and colleagues 40:13.840 --> 40:15.280 that tested the Houston wedding. 40:15.280 --> 40:17.760 And in fact, it was the Delta variant. 40:17.760 --> 40:21.920 And in fact, the vaccinated people acquired it and they passed it to other people. 40:22.800 --> 40:28.480 So, you know, this is of great concern, the Finnish nursing home outbreak, same thing. 40:28.480 --> 40:35.200 So the CDC, on July 30, published in their own journal called MMWR, 40:35.200 --> 40:39.520 a report of outbreaks in Barnstable County, Massachusetts. 40:40.160 --> 40:46.560 And what they reported is they reported around 300 to 400 cases, 40:47.200 --> 40:50.240 two thirds of individuals were fully vaccinated. 40:50.960 --> 40:52.800 So Americans are scratching their head. 40:52.800 --> 40:53.520 They're aware of this. 40:53.520 --> 40:57.760 So wait a minute, you know, large numbers of people vaccinated are getting COVID-19. 40:57.760 --> 41:00.800 How in the world is this talking point being generated 41:00.800 --> 41:06.320 that this is a crisis of the unvaccinated, that this is the unvaccinated are accounting 41:06.320 --> 41:07.920 for 99% of cases? 41:07.920 --> 41:09.120 Have you noticed this talking point? 41:09.120 --> 41:09.840 It's 99. 41:09.840 --> 41:11.520 It's not 100%, but it's not. 41:11.520 --> 41:13.680 How is it 99 across the board? 41:13.680 --> 41:17.280 Well, the genesis of this was in May 1st of this year, 41:17.280 --> 41:24.080 the CDC had already acquired 10,000 bona fide vaccine failure cases. 41:24.080 --> 41:25.120 They were fully vaccinated. 41:25.120 --> 41:27.920 They had 10,000 over that period of time, by the way, 41:27.920 --> 41:30.640 of those who were naturally immune, they didn't have a single case. 41:30.640 --> 41:35.120 So the natural immunity was perfect, but the vaccine immunity looked like it was failing 41:35.760 --> 41:37.760 pretty substantially up until May 1st. 41:37.760 --> 41:42.000 And the CDC said, no more, we're not going to report any more of this. 41:42.560 --> 41:47.360 And we're only going to report COVID-19 in the unvaccinated or as if they're unvaccinated. 41:47.360 --> 41:50.560 I'm not even sure the CDC knows the vaccination status, honestly. 41:50.560 --> 41:53.280 So I think they are just generically saying they created this 41:53.280 --> 41:56.640 as called asymmetric reporting and they're doing it in the open. 41:56.640 --> 41:57.840 This is all announced. 41:57.840 --> 41:59.040 This is for us to figure out. 41:59.040 --> 42:02.400 You can go on the CDC website and you can track every single thing I'm saying. 42:02.400 --> 42:03.600 This is in the open. 42:03.600 --> 42:08.320 It is asymmetric reporting to say it's a crisis of the unvaccinated 42:08.320 --> 42:13.120 at this pivot point where now employers are coming in with this kind of menacing 42:13.920 --> 42:17.200 vaccine set of mandates to force the vaccine on people. 42:17.840 --> 42:19.120 And Americans aren't fooled. 42:19.120 --> 42:21.600 I mean, it's happening in circles this morning. 42:22.560 --> 42:26.480 Somebody in my wife's extended family, she just had Pfizer two months ago. 42:26.480 --> 42:28.400 She's got full blown COVID. 42:28.400 --> 42:30.560 And thankfully, she's getting the proper medications. 42:30.560 --> 42:32.320 I mean, we're seeing this in our practice. 42:32.320 --> 42:37.120 I can tell you, as a general rule, Senator Bob Hall last week in Texas 42:37.120 --> 42:40.080 made a bunch of calls to doctors and said, what are you really seeing? 42:40.080 --> 42:42.480 Boots on the ground, your clinic and in the hospital. 42:42.480 --> 42:46.560 The answer is probably 50-50 or 60-40. 42:46.560 --> 42:50.400 I think overall probably is more unvaccinated than vaccinated in the United States 42:50.400 --> 42:54.320 because we've got slightly more people unvaccinated in the United States. 42:54.320 --> 42:58.960 But it doesn't appear as if the vaccines are sufficiently protective. 42:59.040 --> 43:02.560 It's certainly not compelling that the vaccines are working. 43:02.560 --> 43:03.920 Now, there's been a recent paper. 43:03.920 --> 43:08.320 It's in preprint from Israel that has looked at duration. 43:08.320 --> 43:10.800 So is the vaccine losing its effect over time? 43:10.800 --> 43:14.560 And that paper does suggest after about six months, there's little, 43:15.120 --> 43:17.120 there's lesser degrees of protection. 43:17.120 --> 43:20.560 There was a paper from Denmark in nursing home work. 43:20.560 --> 43:23.840 So nursing home workers had about 90% vaccine efficacy. 43:23.840 --> 43:26.240 It's hard to compute this outside of a randomized trial 43:26.240 --> 43:28.080 because you don't know who's exposed and who's not. 43:28.080 --> 43:29.360 But let's take it at face value. 43:29.360 --> 43:32.240 90% vaccine efficacy in the nursing home workers. 43:32.240 --> 43:34.960 But it was only 60% in the nursing home residents 43:34.960 --> 43:36.560 because they were older and sicker. 43:36.560 --> 43:40.560 So as we sit here today, older and sicker people 43:40.560 --> 43:44.800 who have more medical problems, who need the most protection, 43:44.800 --> 43:46.720 they're the ones who are protected the least. 43:47.920 --> 43:50.880 And so the great concern I have right now as a doctor 43:50.880 --> 43:54.400 is my patients who are older and sicker, who have taken the vaccine, 43:54.400 --> 43:56.080 that they're not fully protected. 43:56.080 --> 43:59.600 I want to get back to what you think is behind everything. 43:59.600 --> 44:03.440 But let me just stick with the Delta variant for a second. 44:03.440 --> 44:07.200 So first of all, how do we know that so many of these cases 44:07.200 --> 44:08.320 are the Delta variant? 44:08.960 --> 44:11.360 Are they sequencing them on the spot? 44:11.360 --> 44:14.880 Are we really sure that that's, are they doing the complete genome? 44:15.680 --> 44:18.720 And then Dr. Yeeden, for instance, has said that the Delta variant 44:18.720 --> 44:23.920 is say 99.7% the same as the alpha variant, 44:23.920 --> 44:27.600 as opposed to say SARS-CoV-1, which is 80% similar. 44:27.600 --> 44:32.960 So how does it that this variant is allegedly more dangerous for kids? 44:34.080 --> 44:35.920 Well, let's try to unravel that. 44:35.920 --> 44:36.960 Actually, you're talking about unpacking. 44:36.960 --> 44:37.920 We need to unpack that. 44:38.640 --> 44:43.360 Two important analyses, one by Nisen and one by Venkatakrishnan 44:43.360 --> 44:47.680 out of Boston and Mayo Clinic, have a giant database of genome. 44:47.680 --> 44:52.720 So a lot of people who have had full genomic testing of infection. 44:52.720 --> 44:56.080 And what they've shown is that the unvaccinated 44:56.080 --> 44:58.640 have a much greater diversity of strains. 44:58.640 --> 45:00.560 And that's the way it was in the United States. 45:00.560 --> 45:03.840 We had a greater diversity of strains before the vaccines. 45:03.840 --> 45:08.960 And the CDC, roughly once a week, does a report 45:08.960 --> 45:11.440 on the different variations or strains. 45:11.440 --> 45:13.920 And it's done in the local departments of community health. 45:13.920 --> 45:16.240 And they do have the ability to do full sequencing. 45:16.240 --> 45:20.800 OK. And so, you know, roundabout January time frame, 45:20.800 --> 45:25.200 let's say we had 14 different strains back in the fall, maybe even a few more. 45:26.160 --> 45:29.040 So we have there's the alpha and the beta and lambda. 45:29.040 --> 45:32.080 I won't bother you with it, but there's kind of an array of strains. 45:32.080 --> 45:32.960 That's what it is. 45:32.960 --> 45:35.760 That's what we have when there's no nothing else. 45:35.760 --> 45:37.440 It's just the human population. 45:37.440 --> 45:40.320 But once we get in the paper by Nisen is important. 45:40.320 --> 45:43.840 Once we get to more than 25% vaccinated rate, 45:43.840 --> 45:49.680 that puts on what's called a non-lethal evolutionary pressure on the population. 45:49.680 --> 45:53.120 And then all the strains can't equally survive. 45:53.120 --> 45:55.840 And one strain finds a way to get past the vaccine. 45:55.840 --> 45:58.240 And that strain becomes the dominant strain. 45:58.240 --> 46:02.240 So a couple months ago in the United States, Delta, which has always been there. 46:02.240 --> 46:03.360 We've always had Delta. 46:03.360 --> 46:05.920 Delta is the most mutated form of the virus. 46:05.920 --> 46:08.640 It's got seven mutations in the spike protein. 46:08.640 --> 46:11.040 And so the confirmation of spike proteins change. 46:11.040 --> 46:13.360 Delta was maybe 2% a couple months ago. 46:13.920 --> 46:17.920 The last report the CDC put out, 83% Delta. 46:17.920 --> 46:22.720 I was on a call this week at departments of community health in Texas, probably 100% Delta. 46:22.720 --> 46:26.400 So we can assume right now that what we're seeing in this latest outbreak, 46:26.400 --> 46:28.240 that it's basically Delta. 46:28.240 --> 46:35.120 Delta in the test tube is slightly more infectious than Alpha and Beta, but not much. 46:35.120 --> 46:38.480 The infectivity, when someone announces it's more infectious, 46:38.480 --> 46:42.800 that's actually from a test tube study of how much the virus, when you sprinkle it on a cell, 46:42.800 --> 46:45.360 how much does it actually invade the cell. 46:45.360 --> 46:48.080 So it's not a good representation in populations. 46:48.080 --> 46:52.400 What determines how much things spread in population is the amount of natural immunity. 46:52.400 --> 46:55.600 If you have a lot of natural immunity, it's not going to spread very far. 46:55.600 --> 46:59.680 So what we can see in all the sources of data, fortunately, 46:59.680 --> 47:02.640 Delta appears to be the mildest of all the variants. 47:02.640 --> 47:05.760 It has the lowest overall hospitalization and mortality. 47:07.200 --> 47:09.760 And today, even though we're in the middle of an outbreak, 47:09.760 --> 47:13.120 do you know that the number of new hospitalizations, as an example, 47:13.120 --> 47:15.120 is no different than what it was in April? 47:15.280 --> 47:18.400 America seems to be kind of in a panic right now, but honestly, 47:18.400 --> 47:20.880 in August, it's no worse than it was in April. 47:20.880 --> 47:22.160 We are having a rise. 47:22.160 --> 47:25.680 I've been on national TV to try to help America understand the data. 47:25.680 --> 47:28.400 We are going to have a rise and it's going to go down. 47:28.400 --> 47:30.800 I don't think it's going to be as high as what we saw in December, 47:30.800 --> 47:32.400 but it's going to be up there and go down. 47:32.400 --> 47:35.440 United Kingdom is already on the other side of the curve. 47:35.440 --> 47:38.480 I think Israel is probably getting very close to being on the other side of the curve. 47:38.480 --> 47:42.240 America will get through this Delta outbreak and on the way down. 47:42.240 --> 47:46.720 But what's contributing to Delta this time is the vaccinated. 47:46.720 --> 47:48.800 The vaccinated are actually getting Delta. 47:48.800 --> 47:52.400 They're passing it to others and they're contributing to this outbreak. 47:52.400 --> 47:56.880 So the idea of a passport or a mandate is foolhardy. 47:56.880 --> 47:59.920 You can imagine everybody enjoying their privileged passport, 47:59.920 --> 48:03.440 coughing and passing Delta on each other in subways and restaurants in New York. 48:03.440 --> 48:06.320 You can imagine how ludicrous this is. 48:06.320 --> 48:11.520 Americans know the vaccines are failing in terms of controlling COVID-19. 48:11.680 --> 48:13.440 We know there's a fracture now. 48:13.440 --> 48:15.440 There's a fracture on boosters. 48:16.880 --> 48:19.600 One of the manufacturers said, well, we got to hurry up and do a booster. 48:20.160 --> 48:25.120 What I know about the boosters right now is they're not adjusting the vaccine to Delta. 48:25.120 --> 48:26.720 It's going to be just the same vaccine. 48:26.720 --> 48:30.240 The vaccine is coded to the wild type spike protein. 48:30.240 --> 48:31.680 The wild spike protein is extinct. 48:31.680 --> 48:32.560 That's gone. 48:32.560 --> 48:34.560 So a booster is just going to be more of the same. 48:36.000 --> 48:38.880 As we sit here today, it would be my judgment, my opinion, 48:38.880 --> 48:44.480 that a booster would not cover the problem, which is now a mutant virus that has antigenic escape. 48:44.480 --> 48:49.840 The Venkata Krishna paper showed that that, in fact, it's sufficient change in the spike protein. 48:49.840 --> 48:52.400 The antibodies can't properly neutralize it. 48:52.400 --> 48:53.520 That's how it's getting passed. 48:53.520 --> 48:55.920 At least in some people, that's how it's happening. 48:55.920 --> 49:00.720 So it's foolhardy right now to think of any place would actually mandate the vaccine 49:00.720 --> 49:04.320 against the virus that it's not even protecting against, number one, 49:04.320 --> 49:07.440 and then to incur all the safety hazards that we've talked about. 49:07.440 --> 49:10.640 So we're coming to a real pressure point in America. 49:10.640 --> 49:13.520 The tension, you can cut it with a knife right now. 49:14.080 --> 49:15.680 People are sending emails. 49:15.680 --> 49:18.000 They're having emergency teleconferences. 49:18.000 --> 49:22.560 We just had a great presentation of Truth for Health, which is a giant collaboration 49:22.560 --> 49:26.320 between scientists and religious leaders to say, listen, we got to stop here. 49:27.040 --> 49:32.960 It'd be very, very reasonable right now to halt the program or just restrict it to someone who 49:32.960 --> 49:35.920 wants to volunteer for it in some special circumstance, 49:35.920 --> 49:41.760 but in no way, shape, and form should we mandate a vaccine that doesn't work sufficiently 49:42.320 --> 49:46.640 to even do much from a public health perspective and has great concerns over safety. 49:46.640 --> 49:51.680 It's probably one of the biggest mistakes that I've ever seen go. 49:51.680 --> 49:54.400 I mean, this whole pandemic has been a series of mistakes, 49:54.400 --> 49:56.800 but right now we're at this pressure point. 49:56.800 --> 50:00.880 And I think America, talking to people in my circles, 50:00.880 --> 50:02.800 they're willing right now to take a timeout. 50:02.800 --> 50:05.600 They're saying, listen, if I've got to take a year out of college, I'll do it. 50:05.600 --> 50:08.960 If I have to walk off the job and take a sabbatical, I'll figure it out. 50:08.960 --> 50:13.120 But the only way to stay healthy right now is to stay away from this vaccine. 50:13.120 --> 50:16.640 If they get COVID-19, get to one of these treatment networks 50:16.640 --> 50:18.800 and get natural immunity on the other side. 50:18.800 --> 50:20.160 Delta is very easy to treat. 50:20.160 --> 50:25.680 Now, I've got some serious cases right now in my advisor panel that I'm trying to help 50:25.680 --> 50:27.120 doctors and help patients directly. 50:27.120 --> 50:28.720 I'm not saying it's a cakewalk. 50:29.680 --> 50:34.000 In fact, we've been aware of just a deadly case that happened in central Texas, 50:34.000 --> 50:35.840 and it really touched somebody close to us. 50:35.840 --> 50:41.360 I can't, I don't want to give a false sense that this is a joke here, 50:41.360 --> 50:44.800 that Delta is serious, but patients need early treatment. 50:44.800 --> 50:46.480 The vaccines don't seem to be working. 50:46.480 --> 50:50.880 From an unscientific, but say a propaganda analysis point of view, 50:50.880 --> 50:54.240 the variants, and I guess lambda is on the horizon, 50:54.240 --> 50:57.280 you're saying that the variants are already all out there. 50:57.280 --> 51:02.720 They just kind of come to prominence for various evolutionary reasons. 51:02.720 --> 51:05.280 Or as you say, the pressure from the vaccine. 51:05.280 --> 51:10.320 The variants seem like part of an extended propaganda or sales rollout, if you will, 51:10.320 --> 51:11.600 for the booster. 51:11.600 --> 51:17.200 It seems like in that leaked document that we saw that the Washington Post put out from CDC, 51:17.200 --> 51:20.080 it's like public demands booster. 51:20.080 --> 51:24.560 It's like as if that demand were already kind of emerging from the public 51:24.560 --> 51:27.840 as opposed to coming from the health authorities. 51:27.840 --> 51:29.120 So what's your sense of that? 51:29.120 --> 51:30.720 Couldn't they just conceivably, 51:30.960 --> 51:33.360 if the idea is to get a needle in every arm, right? 51:33.360 --> 51:35.600 I mean, that's kind of the phrase. 51:35.600 --> 51:39.200 Couldn't they just, with a kind of perpetual motion, 51:39.200 --> 51:45.680 just keep putting out variant scares and then suggesting that we must have boosters 51:45.680 --> 51:50.800 and that your health pass that you got with the original vaccine isn't good enough. 51:50.800 --> 51:52.880 Now you need the booster pass. 51:52.880 --> 51:55.360 I mean, isn't that the road that we're heading down? 51:55.360 --> 51:57.520 Well, I think the variants are very real. 51:58.480 --> 52:03.120 If we go back, so alpha is the UK variant, beta is South African. 52:03.120 --> 52:07.040 Remember, the South African is not well covered by J&J, AstraZeneca, 52:07.040 --> 52:09.680 even the original study, South Africa, only 50% coverage. 52:09.680 --> 52:14.640 So we'd expect a lot of vaccine failures with those vaccines out of the beta variant. 52:14.640 --> 52:15.920 We have gamma in Brazil. 52:15.920 --> 52:17.040 Gamma is actually the worst one. 52:17.040 --> 52:18.400 I think gamma is the strongest one. 52:18.400 --> 52:21.520 The Brazilians have been fighting gamma for the most recent time. 52:21.520 --> 52:25.440 We have Delta that came out of India because in pockets of India, 52:25.440 --> 52:27.680 they were actually vaccinating with the Sinovac more. 52:27.680 --> 52:29.920 In Mashtora, even though India is a huge country, 52:29.920 --> 52:32.480 but certain pockets they had pretty highly vaccinated. 52:32.480 --> 52:33.840 Delta arose out of there. 52:34.560 --> 52:38.160 And so Delta just went to UK and now Delta is here. 52:38.160 --> 52:40.400 And now out of Peru is Lambda. 52:40.400 --> 52:43.360 In Lambda, they actually got to about 60% vaccinated. 52:43.360 --> 52:46.240 Again, with Sinovac, Lambda came out of it. 52:46.240 --> 52:50.240 And a very good analysis from our Civito and colleagues out of Chile 52:50.240 --> 52:55.120 studying the Peruvian outbreak of Lambda really shows that vaccines are causing this. 52:55.120 --> 52:57.680 The vaccines are causing these strains to arise. 52:57.680 --> 53:00.560 Now out of California, we have the Epsilon variant, 53:00.560 --> 53:04.080 which we think because of pressure out there with Pfizer, Moderna, and J&J. 53:04.080 --> 53:09.040 If we keep this up with vaccination, it's going to be one variant after another. 53:09.040 --> 53:11.120 This is going to be the great concern. 53:11.120 --> 53:14.640 And what some experts have told us is, fortunately with Delta, it's milder. 53:14.640 --> 53:16.640 What if we get a more serious one? 53:16.640 --> 53:18.800 What if we get one that can escape the vaccine, 53:18.800 --> 53:22.400 but actually injure Americans and injure human body more? 53:22.400 --> 53:23.200 Now we're in trouble. 53:23.200 --> 53:25.040 Now we've created a monster. 53:25.040 --> 53:26.800 And this can happen with antibiotics. 53:26.800 --> 53:30.320 If we put everybody on the same antibiotic, we grow up a superbug. 53:32.320 --> 53:34.320 The methicillin-resistant staph, for instance. 53:34.320 --> 53:38.960 This is again, we're playing with fire here with this mass vaccination. 53:38.960 --> 53:41.760 Remember for the pneumococcal vaccine, it's just the seniors. 53:41.760 --> 53:43.520 Shingles, it's just limited. 53:43.520 --> 53:47.600 Hepatitis B, we have an approach that's targeted. 53:47.600 --> 53:54.000 Now when an illness is eradicated and we want to keep not a single case, 53:54.000 --> 53:55.440 we give childhood vaccines. 53:55.440 --> 54:00.720 So for instance, polio and things like that, smallpox, when something is eradicated. 54:00.720 --> 54:03.120 But in this case, this is far from being eradicated. 54:03.120 --> 54:06.080 We have all kinds of people with COVID-19 all over. 54:06.080 --> 54:08.720 And this idea that we're going to vaccinate right into a pandemic, 54:08.720 --> 54:12.560 we had a lot of people warn us about this, say, don't do this. 54:12.560 --> 54:14.080 We're going to make it worse. 54:14.160 --> 54:18.400 And I got to tell you, my interpretation as an internist, a cardiologist, 54:18.400 --> 54:20.160 I'm a trained epidemiologist. 54:20.160 --> 54:24.640 I literally have done a year of COVID, intense COVID research and training. 54:24.640 --> 54:27.680 I am telling you, I think this Delta outbreak that we have right now 54:27.680 --> 54:29.840 is the product of mass vaccination. 54:29.840 --> 54:32.640 If we didn't have the vaccine, we would have been better off. 54:32.640 --> 54:35.760 We had already treated this down to a very acceptable level. 54:35.760 --> 54:41.440 Now the Neeson paper says that it's a good thing to vaccinate, that in fact, 54:41.440 --> 54:47.200 the Neeson paper's conclusion is that the non-vaccinated are the genesis. 54:47.760 --> 54:50.080 They have this array of genetic diversity. 54:50.080 --> 54:56.000 So the non-vaccinated are the originating pool of variants. 54:56.000 --> 54:56.800 And that's a bad thing. 54:56.800 --> 55:01.040 And my conclusion is just the opposite, is that when you get to more than 25% vaccine, 55:01.040 --> 55:06.480 now you let kind of natural variation, you allow one to become forward and be super dominant. 55:06.480 --> 55:09.120 And I tell you, if we got Delta right now, it's super dominant. 55:09.120 --> 55:13.680 The best forecast is that Delta is so super dominant, but so manageable, 55:13.680 --> 55:14.720 it completely burns out. 55:14.720 --> 55:15.120 We're done. 55:15.680 --> 55:16.400 We're done. 55:16.400 --> 55:22.320 But what we understand with flu is flu doesn't have this enormous mutation pressure. 55:22.320 --> 55:24.640 Flu has what's called antigenic drift. 55:24.640 --> 55:29.760 And antigenic drift is just a slight methodical change in two antigens, 55:29.760 --> 55:31.680 neuramidase and hemagglutinin. 55:31.680 --> 55:34.720 And so with flu, each year we have time to adjust. 55:34.720 --> 55:36.720 We say, oh, what's the most common pattern? 55:36.720 --> 55:39.040 OK, the flu vaccine is adjusted for each year. 55:39.200 --> 55:40.560 We don't have this type of time. 55:40.560 --> 55:45.840 This thing is like a runaway freight train of mass vaccination, mutant strain. 55:45.840 --> 55:46.400 And you're right. 55:46.400 --> 55:48.880 And it just is it going to be one after another. 55:48.880 --> 55:51.760 Americans and people across the world are being fatigued. 55:51.760 --> 55:54.480 Variants are absolutely no reason to keep vaccinating. 55:54.480 --> 55:57.680 In fact, the vaccination is looking like it's going to make it worse. 55:58.720 --> 56:02.160 So I got to ask you again, doctor, because I've heard you say it before. 56:02.720 --> 56:06.640 And tell me if you're not comfortable, we can we can cut it out or forget about it. 56:06.640 --> 56:13.920 I want to make the most effective video possible and the least subject to preemptive censorship. 56:13.920 --> 56:15.040 What's your sense of this? 56:15.040 --> 56:20.080 I mean, is it could it be anything other than what you described in previous interviews, 56:20.080 --> 56:21.680 a bio weapon of some kind? 56:21.680 --> 56:25.440 I mean, in other words, well, first of all, let's just talk about where does the virus come from? 56:25.440 --> 56:31.360 I mean, do we do we feel is your sense that this was a lab leak or zoonotic? 56:31.360 --> 56:34.080 And what do we think about the, you know, the readiness, you know, 56:34.080 --> 56:40.160 apparently some of the patents for both SARS, Cov-2 and perhaps, you know, 56:40.160 --> 56:42.640 some of the vaccine technology have been around forever. 56:43.520 --> 56:44.880 So what's your sense? 56:44.880 --> 56:49.280 Is this is this a two part bio terrorist weapon, as you've described? 56:49.280 --> 56:51.040 And what's the purpose of it? 56:52.160 --> 56:58.240 Well, you know, the the the word bio terrorism or bio weapon, those aren't my words. 56:58.240 --> 57:00.720 They're actually being heavily investigated. 57:00.800 --> 57:05.040 Senator Rand Paul has had the division director of the National Institutes of 57:05.040 --> 57:10.640 Allergy and Immunology on the stand multiple times and just saying, listen, what was going on in Wuhan? 57:10.640 --> 57:14.480 I think what the general understanding is, is there was gain of function research to 57:14.480 --> 57:16.240 make the spike protein more dangerous. 57:16.240 --> 57:21.760 There was changes in what's called the furin cleavage joint between the first and second segment 57:21.760 --> 57:26.720 of the spike protein that allowed it to kind of dock with the ACE receptor and allowed the virus 57:26.720 --> 57:32.080 to get into the body more readily and cause more damage through an enzymatic cleavage of 57:32.080 --> 57:33.600 a human enzyme called furin. 57:34.400 --> 57:39.920 So it looked like there was some intentional manipulation and the manipulation was, in a sense, 57:39.920 --> 57:41.440 to make the virus more dangerous. 57:41.440 --> 57:43.600 Now, the question is like, what was behind this? 57:43.600 --> 57:47.760 Why would you want to take a coronavirus and make it more dangerous? 57:47.760 --> 57:50.640 What medicinal property would that have? 57:50.640 --> 57:52.720 What research property would that have? 57:53.200 --> 57:55.520 What could be the goal of doing that? 57:56.480 --> 58:03.120 And so what you're asking is, what's the goal of making coronavirus more dangerous and more 58:03.120 --> 58:05.360 infective and lethal in humans? 58:05.360 --> 58:10.960 And people can draw their own conclusions regarding this, but it's obviously heavily 58:10.960 --> 58:11.760 investigated. 58:12.320 --> 58:16.320 I've been careful to try to stay out of speculation on what's behind it. 58:16.320 --> 58:23.280 I would tell you that I refer the viewers to Peter Bregan's book that's going to be out shortly. 58:23.760 --> 58:26.240 The full manuscript's available if you purchase the book now. 58:26.240 --> 58:28.640 It's called COVID-19 and the Global Predators. 58:28.640 --> 58:29.520 We are the prey. 58:29.520 --> 58:35.360 He's now got 2,000 citations of what went on in the lab, who was behind it, who was funded, 58:35.360 --> 58:39.920 who are the American participants, how was this planned out ahead of time? 58:40.560 --> 58:43.840 I know that Tucker Carlson, he reached out to Nicholas Wade. 58:43.840 --> 58:44.640 He had him on his show. 58:44.640 --> 58:46.320 Listen, let's go over this. 58:46.320 --> 58:47.120 Whitney Webb. 58:47.120 --> 58:49.280 There's a whole host of investigative reporters. 58:49.280 --> 58:52.720 All I can tell you, it is enormously complex. 58:52.720 --> 58:59.600 The more I hear about this, the more the different numbers of stakeholders, the patents 58:59.600 --> 59:02.560 and the connectivity here is enormous. 59:03.520 --> 59:10.400 What I am struck with is how people in their minds can come up with the same conclusion. 59:10.400 --> 59:16.560 How can hospital administrators in their mind come up with a conclusion that they should 59:16.560 --> 59:18.400 mass vaccinate their employees? 59:18.960 --> 59:20.320 How did that get in their mind? 59:20.320 --> 59:22.160 The CDC is not asking for it. 59:22.160 --> 59:24.320 The CDC and the FDA say it's voluntary. 59:24.880 --> 59:26.240 Everyone's saying it's voluntary. 59:26.880 --> 59:32.080 How does the human mind say, okay, we see this happening. 59:32.080 --> 59:33.680 It looks like the vaccines are failing. 59:34.880 --> 59:36.880 The safety data doesn't look good at all. 59:37.520 --> 59:39.280 Let's mass vaccinate people. 59:39.280 --> 59:45.040 How does that decision get in the mind of executives to roll that down to their employees 59:45.040 --> 59:48.480 and the employees respond in sheer terror? 59:48.480 --> 59:51.200 What is the psychology of that? 59:51.200 --> 59:55.440 What's in the minds of leaders in New York to say, okay, we got these vaccines. 59:55.440 --> 59:57.040 It looks like they're failing. 59:57.040 --> 59:58.480 We're in an outbreak of Delta. 59:59.280 --> 01:00:02.560 The safety data look not good at all. 01:00:02.560 --> 01:00:05.600 We haven't had a single safety report yet. 01:00:05.600 --> 01:00:10.560 Let's ask everybody in New York to just take the vaccine in order to go to a restaurant. 01:00:11.440 --> 01:00:12.800 That is the question. 01:00:12.800 --> 01:00:14.480 What is in the minds of people? 01:00:15.600 --> 01:00:21.040 What is in the minds of a doctor to tell a pregnant woman to take a vaccine like this? 01:00:21.840 --> 01:00:26.480 I think the best way to characterize it, it's a disturbia. 01:00:26.480 --> 01:00:29.040 It is maybe a group neurosis. 01:00:29.760 --> 01:00:33.600 It is something that's come over the minds of people all over the world. 01:00:33.600 --> 01:00:37.680 I tell you, whatever's going on is going on in the tiniest island of the Philippines 01:00:37.680 --> 01:00:41.520 and Indonesia, the smallest little village in Africa and South America. 01:00:41.520 --> 01:00:42.800 It's all the same. 01:00:42.800 --> 01:00:45.760 It's come over the entire world. 01:00:46.800 --> 01:00:49.920 People like you and me, we're looking at this saying, we're shaking our head. 01:00:49.920 --> 01:00:50.800 How can this be happen? 01:00:51.280 --> 01:00:54.160 Some people's eyes are completely clear. 01:00:54.160 --> 01:00:55.520 They can see this. 01:00:55.520 --> 01:00:57.600 It's just so readily apparent to us. 01:00:58.160 --> 01:00:59.440 No, it's just... 01:00:59.440 --> 01:01:00.480 And other people are just... 01:01:02.000 --> 01:01:07.200 When I interact with them, they look like they are cloudy. 01:01:07.200 --> 01:01:11.840 They look like somehow they're disturbed, but they really can't articulate it. 01:01:13.440 --> 01:01:16.640 To this day, I haven't had a single doctor. 01:01:16.640 --> 01:01:18.400 Now, I traveled the world. 01:01:18.400 --> 01:01:19.360 I lectured the world. 01:01:19.360 --> 01:01:21.600 I've lectured at the New York Academy of Sciences. 01:01:21.600 --> 01:01:26.480 I've lectured and spoken and presented before the Congressional Oversight Panel for the NIH. 01:01:27.520 --> 01:01:29.360 I engage with people my entire career. 01:01:30.960 --> 01:01:36.160 When I engage with a colleague on this, the colleagues, they look like they're confused. 01:01:36.160 --> 01:01:37.920 We can't even talk about early treatment. 01:01:37.920 --> 01:01:38.800 They're just... 01:01:38.800 --> 01:01:41.680 There may be one or two interchanges and they just kind of disappear. 01:01:42.720 --> 01:01:45.840 On the vaccine, I met a young doctor who trained under me the other day. 01:01:45.840 --> 01:01:46.960 I saw him out of the neighborhood. 01:01:47.600 --> 01:01:48.400 I started talking. 01:01:49.040 --> 01:01:51.920 I said, I'm kind of disturbed about what I'm seeing. 01:01:51.920 --> 01:01:53.840 He goes, well, COVID-19 is a bad disease. 01:01:53.840 --> 01:01:54.480 A lot of people died. 01:01:54.480 --> 01:01:55.040 What do you think? 01:01:55.920 --> 01:01:57.040 We've got to take the vaccine. 01:01:57.600 --> 01:01:58.480 I did a show. 01:01:58.480 --> 01:02:00.560 I did a TV show with Dr. Drew. 01:02:00.560 --> 01:02:04.960 Everybody knows Dr. Drew, the handsome silver-haired gentleman on TV. 01:02:04.960 --> 01:02:06.000 And we talked about this. 01:02:06.720 --> 01:02:08.800 And I said, Dr. Drew, what's going on? 01:02:08.800 --> 01:02:12.720 He goes, I think the American public was prepared for this. 01:02:12.720 --> 01:02:17.120 The American public had seen so much fear, isolation, 01:02:17.120 --> 01:02:20.960 hospitalization, and death that they were prepared... 01:02:20.960 --> 01:02:26.640 They were prepared to take mass casualties and injury with the vaccine. 01:02:26.640 --> 01:02:28.800 That the American public was prepared for this. 01:02:28.800 --> 01:02:30.320 That's his psychological theory. 01:02:31.200 --> 01:02:31.920 I'm a guest. 01:02:33.200 --> 01:02:34.800 How do we break through the trance? 01:02:37.120 --> 01:02:39.600 Whatever this psychological preparation that's been happening, 01:02:39.600 --> 01:02:42.080 this propaganda that's prepared the way, 01:02:42.080 --> 01:02:45.200 clearly amongst my old comrades on the left, 01:02:46.160 --> 01:02:49.920 it had to do with the fact that Trump said hydroxychloroquine 01:02:49.920 --> 01:02:52.400 or Trump said it's not so bad or whatever. 01:02:52.400 --> 01:02:55.600 So they were the subjects of derangement syndrome. 01:02:55.600 --> 01:02:59.760 But some variant of this has been in place all over the world. 01:02:59.760 --> 01:03:02.080 But so how do we reach people now? 01:03:02.080 --> 01:03:03.520 What have you found effective? 01:03:03.520 --> 01:03:06.320 Have you ever managed to break through to a colleague? 01:03:06.320 --> 01:03:09.360 Have you ever managed to break through to just a person on the street? 01:03:09.360 --> 01:03:11.280 Like, what does it... 01:03:11.280 --> 01:03:12.400 What is successful? 01:03:13.440 --> 01:03:14.160 I have to tell you. 01:03:14.160 --> 01:03:16.000 I've spent time with psychologists. 01:03:16.000 --> 01:03:18.000 I've had psychologists reach out to me saying, 01:03:18.000 --> 01:03:21.120 listen, something's really gone wrong in the United States. 01:03:21.120 --> 01:03:22.720 People have used the analogy. 01:03:22.720 --> 01:03:26.080 This is like Nazi Germany where something comes over people's minds. 01:03:26.720 --> 01:03:29.360 People have asked, how did people in Japan 01:03:30.160 --> 01:03:34.080 come into the same mindset on Nazism as those in Germany? 01:03:34.080 --> 01:03:35.280 They didn't have Twitter. 01:03:35.280 --> 01:03:36.480 They didn't have the internet. 01:03:37.040 --> 01:03:38.320 They weren't talking to each other. 01:03:38.320 --> 01:03:41.520 How does the same mindset settle on people all over the world? 01:03:41.520 --> 01:03:44.960 What happened during World War II in this axis of evil, 01:03:45.600 --> 01:03:50.000 it seems like it's happened across the world, but it's settled on something. 01:03:50.000 --> 01:03:51.680 It's settled on COVID-19. 01:03:52.400 --> 01:03:59.120 It clearly has principles of fear, isolation, suffering, hospitalization, and death. 01:03:59.120 --> 01:04:00.400 That's a core principle. 01:04:00.960 --> 01:04:03.280 And then all roads lead to the vaccine. 01:04:04.240 --> 01:04:05.120 I think that's clear. 01:04:05.120 --> 01:04:05.680 All of the world. 01:04:05.680 --> 01:04:08.720 The only answer is the vaccine. 01:04:09.200 --> 01:04:18.480 And with Nazism, obviously, it took years, but people came out of their trance, and they were 01:04:18.480 --> 01:04:19.600 horrified at what they did. 01:04:19.600 --> 01:04:21.840 They said, oh, my gosh, how could we think this way? 01:04:21.840 --> 01:04:23.760 And I think doctors will come out of their trance. 01:04:23.760 --> 01:04:27.200 They're going to look at this, and we're going to tell historically the thing. 01:04:27.200 --> 01:04:33.200 Listen, we're coming up on thousands of Americans have died within a couple days of the vaccine. 01:04:33.200 --> 01:04:35.040 How could we have promoted this? 01:04:35.040 --> 01:04:37.760 At some point in time, this will be a point of discussion. 01:04:38.720 --> 01:04:41.040 And right now, people, it's not just doctors. 01:04:41.040 --> 01:04:45.440 We're talking nurses, mid-level providers, company executives. 01:04:46.080 --> 01:04:51.920 And fortunately, I think what's happened in America is 50% of Americans have their eyes open. 01:04:51.920 --> 01:04:54.080 And they're saying, uh-uh, we don't want it. 01:04:54.640 --> 01:04:56.400 We don't want the vaccine. 01:04:56.400 --> 01:05:02.640 And I tell you, there's not a single person at any hospital or health system that I've talked to 01:05:02.640 --> 01:05:05.040 that thinks that they should have a vaccine mandate. 01:05:05.040 --> 01:05:05.440 Nobody. 01:05:06.080 --> 01:05:11.520 I don't know a single person in New York who's messaged me that says, wow, I really want to 01:05:11.520 --> 01:05:12.240 have a passport. 01:05:12.960 --> 01:05:19.120 So these things that are coming down seem to be originating from very few people. 01:05:20.080 --> 01:05:23.200 And they are opposed by large numbers. 01:05:23.840 --> 01:05:26.320 So this is also a very interesting thing. 01:05:26.320 --> 01:05:29.760 Very few people, but opposed by large numbers. 01:05:29.760 --> 01:05:35.520 The other thing that's interesting is there appears to be almost a set of talking points. 01:05:35.520 --> 01:05:37.680 Now, you use the word propaganda. 01:05:37.680 --> 01:05:39.120 Not me, but I'll use it. 01:05:39.120 --> 01:05:45.280 Propaganda is false information that's put out in a public manner by people of authority 01:05:45.280 --> 01:05:46.640 in order to influence something. 01:05:46.640 --> 01:05:48.400 And I think propaganda does apply here. 01:05:49.200 --> 01:05:53.120 The other thing that applies is a word called malfeasance. 01:05:53.120 --> 01:05:56.560 Malfeasance is wrongdoing by those in position of authority. 01:05:56.560 --> 01:06:01.040 When I told you we started this mass vaccination program with no safety review, 01:06:01.040 --> 01:06:04.400 no safety committees, and no safety review, that's malfeasance. 01:06:04.960 --> 01:06:08.800 So when historians will go over this from a scientific regulatory perspective, 01:06:08.800 --> 01:06:10.080 they're going to say, full stop. 01:06:10.080 --> 01:06:17.040 This is going to be a course in medical ethics of violation of medical ethics. 01:06:17.040 --> 01:06:19.840 Violation of the Nuremberg Code, the Declaration of Helsinki. 01:06:19.840 --> 01:06:24.480 We have six cornerstones of medical ethics we rely on in the Office of Human Research 01:06:24.480 --> 01:06:25.120 Protections. 01:06:25.520 --> 01:06:29.360 And it's not like doctors have sat by and done nothing. 01:06:29.360 --> 01:06:35.680 There are physician and nurses petition letters into the FDA saying, stop it. 01:06:35.680 --> 01:06:36.800 Don't approve these. 01:06:36.800 --> 01:06:37.840 They're not safe. 01:06:37.840 --> 01:06:42.640 The evidence-based consulting group in the UK, which is the principal consulting, 01:06:42.640 --> 01:06:46.480 contract consultant to the World Health Organization, has evaluated the yellow card 01:06:46.480 --> 01:06:47.200 system there. 01:06:47.200 --> 01:06:48.960 Same thing as what we're seeing here in VAERS. 01:06:48.960 --> 01:06:49.840 Same thing. 01:06:49.840 --> 01:06:53.680 They wrote the MHRA, which is the FDA of England, and said, full stop. 01:06:53.680 --> 01:06:55.920 They are not safe for human use. 01:06:55.920 --> 01:07:01.200 There was a lead group out of France very early on in March said, stop it. 01:07:01.200 --> 01:07:01.920 Stop it. 01:07:01.920 --> 01:07:03.120 Not safe for you. 01:07:03.120 --> 01:07:04.640 Stop the vaccine program. 01:07:04.640 --> 01:07:09.840 We've had a paper by Bruno and colleagues, 57 authors, 17 countries, 01:07:09.840 --> 01:07:14.560 so basically said, listen, if you can't get safety under control, shut down the program. 01:07:14.560 --> 01:07:15.760 And on time, it just keeps going. 01:07:15.760 --> 01:07:21.200 We've had former executives from Gates Foundation, from Pfizer, people involved in the invention of 01:07:21.200 --> 01:07:22.240 the technology. 01:07:22.240 --> 01:07:28.240 One by one by one, we've had a Nobel Prize winner, one from France, all crying to the 01:07:28.240 --> 01:07:29.520 world, stop it. 01:07:30.160 --> 01:07:34.160 Stop it right now before more people are hurt. 01:07:34.160 --> 01:07:38.080 It's not working and is causing tremendous damage. 01:07:38.080 --> 01:07:42.800 So it's the most, in many ways, it's a very interesting time to come be alive. 01:07:43.840 --> 01:07:45.600 A big part of this is the media. 01:07:45.600 --> 01:07:49.360 The trusted news service in December was announced. 01:07:49.360 --> 01:07:54.000 BBC announced it, said, listen, there's only one thing that's going to get through the media 01:07:54.000 --> 01:07:55.600 is promotion of the vaccine. 01:07:55.600 --> 01:07:56.080 That's it. 01:07:56.080 --> 01:07:58.080 I think it was December 10. 01:07:58.080 --> 01:07:59.280 People should know this. 01:07:59.280 --> 01:08:06.160 That means full suppression of any treatment, any early treatment, even EUA antibodies 01:08:06.160 --> 01:08:09.680 suppressed, and then suppression of anything on vaccine safety. 01:08:10.320 --> 01:08:10.800 Suppression. 01:08:10.800 --> 01:08:12.480 And everyone agreed to do this. 01:08:12.480 --> 01:08:17.280 YouTube, Twitter, ABC, NBC, everybody agreed, local news channels. 01:08:17.280 --> 01:08:20.000 The trusted news service became the rule. 01:08:20.000 --> 01:08:24.400 So how can anybody get any fair information on what's going on? 01:08:24.400 --> 01:08:30.000 So the public has basically had an incredible rush to independent podcasts, independent 01:08:30.000 --> 01:08:30.720 videos. 01:08:30.720 --> 01:08:35.680 They're on Bitshoot and Rumble and YouTube the best they can in order to find out what's 01:08:35.680 --> 01:08:36.320 going on. 01:08:37.040 --> 01:08:46.480 I mean, people know that there is a propagandized program and there is, in a sense, a social 01:08:46.480 --> 01:08:48.880 weaponization of the vaccine. 01:08:48.880 --> 01:08:50.160 It's socially weaponized. 01:08:50.160 --> 01:08:55.760 Now, people, there have been there have been doctor commenters that have gone on CNN. 01:08:55.760 --> 01:08:59.280 The vaccine is the ticket back to pre-pandemic life. 01:08:59.280 --> 01:09:01.280 And the window to do that is really narrowly. 01:09:01.280 --> 01:09:04.560 I mean, you were mentioning, Chris, about how all these states are reopening. 01:09:04.560 --> 01:09:06.640 They're reopening at 100 percent. 01:09:06.640 --> 01:09:12.400 And we have a very narrow window to tie reopening policy to vaccination status, because 01:09:12.400 --> 01:09:16.240 otherwise, if everything is reopened, then what's the carrot going to be? 01:09:16.240 --> 01:09:19.120 How are we going to incentivize people to actually get the vaccine? 01:09:19.120 --> 01:09:23.280 So that's why I think the CDC and the Biden administration needs to come out a lot bolder 01:09:23.280 --> 01:09:28.000 and say, if you're vaccinated, you can do all these things, hear all these freedoms 01:09:28.000 --> 01:09:28.720 that you have. 01:09:28.720 --> 01:09:33.120 It's time to take the vaccine and your freedoms should be limited to the vaccine. 01:09:33.120 --> 01:09:38.480 We've heard several CNN anchors saying, listen, you get the vaccine, you get your 01:09:38.480 --> 01:09:39.200 freedoms back. 01:09:40.720 --> 01:09:41.600 Don't get the vaccine. 01:09:42.240 --> 01:09:43.920 You can't go to the supermarket. 01:09:43.920 --> 01:09:44.720 Don't have the vaccine. 01:09:44.720 --> 01:09:45.280 You don't show it. 01:09:45.280 --> 01:09:46.560 Can't go to the ballgame. 01:09:46.560 --> 01:09:47.520 Don't have the vaccine. 01:09:48.080 --> 01:09:48.800 Can't go to work. 01:09:49.520 --> 01:09:50.560 You don't have the vaccine. 01:09:51.280 --> 01:09:51.920 Can't come here. 01:09:51.920 --> 01:09:54.320 No shirt, no shoes, no service. 01:09:54.320 --> 01:09:56.080 That's where I think we should be right now. 01:09:56.080 --> 01:10:02.080 Since when a vaccine that's investigational doesn't work completely looks like it's 01:10:02.080 --> 01:10:08.400 grossly unsafe that I have to gamble with my life to have my job, to go to school, 01:10:08.400 --> 01:10:10.160 or have my freedoms back? 01:10:10.160 --> 01:10:13.280 Total violation of the Nuremberg code, it would seem to me. 01:10:13.840 --> 01:10:22.560 It's a total violation of our human ethics and our morality and our beneficence to one 01:10:22.560 --> 01:10:23.760 another and society. 01:10:23.760 --> 01:10:25.520 It's extraordinary what's going on. 01:10:26.160 --> 01:10:27.840 It is an interesting time to be alive. 01:10:27.840 --> 01:10:30.160 I think a lot of us are on very short sleep cycles. 01:10:30.160 --> 01:10:34.560 It's one of the reasons why you're talking to me and I'm talking to you is we see that 01:10:34.560 --> 01:10:35.840 something is disturbed. 01:10:35.840 --> 01:10:39.600 When Tucker Carlson had me on in May, Tucker goes, what's going on? 01:10:39.600 --> 01:10:40.880 I said, Tucker, I can't tell you. 01:10:40.880 --> 01:10:42.640 I'm just reporting the news. 01:10:42.640 --> 01:10:43.440 Something is up. 01:10:44.000 --> 01:10:44.720 Something is up. 01:10:44.720 --> 01:10:49.200 I think we've completely suppressed any form of treatment or help to people in order 01:10:49.200 --> 01:10:50.640 to promote the vaccine. 01:10:50.640 --> 01:10:56.000 Now the vaccine doesn't work completely and it's frankly dangerous. 01:10:56.000 --> 01:10:58.880 We're down to almost one message. 01:10:59.520 --> 01:11:01.680 Take the vaccine or else. 01:11:02.400 --> 01:11:04.000 It's really buoying down to that. 01:11:04.000 --> 01:11:05.760 Take the vaccine or else. 01:11:06.880 --> 01:11:12.320 It's the scariest time to be an American and thank goodness half of Americans didn't take 01:11:12.320 --> 01:11:12.480 it. 01:11:13.120 --> 01:11:16.640 So we're going to have to see what this is going to look like. 01:11:16.640 --> 01:11:21.360 I think the next month or so is going to be incredibly interesting and it's going to 01:11:21.360 --> 01:11:21.920 be ominous. 01:11:21.920 --> 01:11:27.600 Let me tell you what, someone in my position, very, very worrisome and very ominous. 01:11:28.160 --> 01:11:31.120 I was on Laura Ingraham the other night and they had announced the Federation of State 01:11:31.120 --> 01:11:36.960 Medical Boards is going to start hunting doctors and their licenses based on information 01:11:36.960 --> 01:11:38.320 versus misinformation. 01:11:38.320 --> 01:11:39.760 I was like, who decides that? 01:11:40.320 --> 01:11:40.880 Let me guess. 01:11:41.280 --> 01:11:43.840 I bet I'm not going to get a chance to decide. 01:11:43.840 --> 01:11:48.480 Someone's going to decide if I'm giving information or misinformation and take my license. 01:11:48.480 --> 01:11:49.920 Now I take my license. 01:11:49.920 --> 01:11:51.600 Now I don't have a livelihood. 01:11:51.600 --> 01:11:58.080 Can you imagine my immediate livelihood is up in the air on some type of arbitrary, 01:11:58.080 --> 01:12:05.920 potentially even nefariously motivated stakeholders in trouble? 01:12:06.000 --> 01:12:12.320 I told you last week, a major health system that I no longer work for, that I don't claim 01:12:12.320 --> 01:12:17.840 any leadership roles and what have you, launched a crushing lawsuit against me. 01:12:17.840 --> 01:12:19.200 They're a billion dollar company. 01:12:19.200 --> 01:12:20.560 I'm just a single person. 01:12:21.280 --> 01:12:26.160 My wife and family are absolutely terrified that they're going to wipe out our future. 01:12:27.280 --> 01:12:32.160 This is absolutely astonishing that this could be happening. 01:12:32.160 --> 01:12:34.960 You and I are just having a fair interchange of ideas. 01:12:34.960 --> 01:12:37.680 I've tried to give you my best scientific interpretation. 01:12:37.680 --> 01:12:39.760 When I've testified in the US Senate, I raised my hand. 01:12:39.760 --> 01:12:41.440 I said, I'm going to do my best. 01:12:41.440 --> 01:12:42.000 Same thing. 01:12:42.000 --> 01:12:43.200 These are my opinions. 01:12:43.200 --> 01:12:46.880 When I testified in the Texas Senate, somebody fact-checked me. 01:12:46.880 --> 01:12:50.800 They said, Dr. McCullough said something wrong in his Texas Senate testimony. 01:12:50.800 --> 01:12:51.920 You know who that was? 01:12:51.920 --> 01:12:54.560 That was a fact-checker reporter from France. 01:12:54.560 --> 01:12:58.000 Now why is a guy in France fact-checking me in Austin, Texas? 01:12:58.800 --> 01:13:02.400 One of my other testimonies, the fact-checker was from Hong Kong. 01:13:02.400 --> 01:13:04.560 Then from Hong Kong, we traced her to China. 01:13:04.560 --> 01:13:06.880 Then from China, we chased her to Gates Foundation. 01:13:06.880 --> 01:13:07.840 It's like, well, wait a minute. 01:13:09.200 --> 01:13:14.000 There's a hunting that's going on here that's very disturbing. 01:13:14.000 --> 01:13:18.000 Americans are trying to figure out the average American doesn't want to know about the spike 01:13:18.000 --> 01:13:18.640 protein. 01:13:18.640 --> 01:13:20.560 They don't want to know about the nucleocapsid. 01:13:20.560 --> 01:13:22.560 They just want to get back to normal. 01:13:22.560 --> 01:13:24.880 Things were okay in their mind two years ago. 01:13:24.880 --> 01:13:28.000 What's happened over the last two years is a nightmare. 01:13:28.000 --> 01:13:30.080 It's affecting all of our family members. 01:13:30.080 --> 01:13:35.760 We've all seen way too much death, despair, hospital transfers, rehab. 01:13:35.760 --> 01:13:36.720 We've had enough. 01:13:37.360 --> 01:13:38.000 Do you know what I mean? 01:13:38.000 --> 01:13:39.520 We've all had enough right now. 01:13:40.240 --> 01:13:46.080 Let's hope that sentiment, that public sentiment will basically prevail. 01:13:47.200 --> 01:13:48.640 Enough people will say, you know what? 01:13:49.200 --> 01:13:50.560 We're not taking the vaccine. 01:13:51.920 --> 01:13:55.120 If enough people don't take the vaccine, this thing's going to die. 01:13:55.600 --> 01:14:02.320 And when it dies, potentially some investigative reporting can start to figure out, quote, 01:14:02.320 --> 01:14:03.440 what's behind it. 01:14:03.440 --> 01:14:04.160 No one can know. 01:14:04.160 --> 01:14:06.080 But that's the only way I see it. 01:14:06.080 --> 01:14:08.960 If there's capitulation, everyone says, listen, I got to take the vaccine. 01:14:08.960 --> 01:14:10.160 I need it for my job. 01:14:10.160 --> 01:14:13.280 And even though it doesn't work and I could die, I'm still going to take it. 01:14:13.280 --> 01:14:15.600 And we just pile on the injuries. 01:14:15.600 --> 01:14:17.360 We're going to have so many injured Americans. 01:14:17.360 --> 01:14:19.920 I can't even imagine what our clinic's going to look like this fall. 01:14:19.920 --> 01:14:21.280 And everybody capitulates. 01:14:21.280 --> 01:14:24.800 You know, the great fear is it's like, okay, everybody get in line now for the booster.