1 00:00:00,440 --> 00:00:04,800 Speaker 1: This is a special edition of the Sean Hannity Show. 2 00:00:06,760 --> 00:00:13,840 Speaker 1: I'm very good. Trap Behind Enemy Lines, Day number forty 3 00:00:13,880 --> 00:00:17,160 Speaker 1: forty all right, hour two Sean Hannity Show. Toll free 4 00:00:17,160 --> 00:00:19,560 Speaker 1: our numbers eight hundred nine for one, Shawn, if you 5 00:00:19,640 --> 00:00:21,919 Speaker 1: want to be a part of the program. It's an 6 00:00:21,960 --> 00:00:24,639 Speaker 1: amazing thing, isn't it that we You know, here we 7 00:00:24,680 --> 00:00:28,120 Speaker 1: are a year later last year at this time, heading 8 00:00:28,120 --> 00:00:32,400 Speaker 1: into a presidential election, and now with three hundred percent 9 00:00:32,600 --> 00:00:37,080 Speaker 1: higher in terms of COVID positivity cases. And meanwhile, we've 10 00:00:37,120 --> 00:00:40,239 Speaker 1: got three vaccines. We've got now Joe Biden for the 11 00:00:40,280 --> 00:00:42,120 Speaker 1: first time, what last week or a week and a 12 00:00:42,159 --> 00:00:46,680 Speaker 1: half ago mentions monoclonal antibodies. You know, it's a year ago. 13 00:00:46,760 --> 00:00:51,520 Speaker 1: Donald Trump had used regeneron as part of the therapeutic 14 00:00:51,720 --> 00:00:55,600 Speaker 1: that got him well very quickly. I'm not a doctor. 15 00:00:55,640 --> 00:00:57,240 Speaker 1: I'm not going to play one on radio and TV, 16 00:00:57,320 --> 00:00:58,880 Speaker 1: and I'm not going to give you my whole spiel. 17 00:00:59,680 --> 00:01:02,960 Speaker 1: But I'm fascinated with science. I believe in science. I 18 00:01:02,960 --> 00:01:06,040 Speaker 1: believe in vaccination science. But I'm not your doctor. I 19 00:01:06,080 --> 00:01:11,200 Speaker 1: know nothing about your medical history, your current medical condition, 20 00:01:11,280 --> 00:01:14,040 Speaker 1: and I urge everyone to take it seriously and talk 21 00:01:14,080 --> 00:01:16,639 Speaker 1: to your doctor. We lost nearly seven hundred thousand people. 22 00:01:17,160 --> 00:01:19,720 Speaker 1: I don't want my audience dying. I don't want anybody dying. 23 00:01:19,800 --> 00:01:21,200 Speaker 1: I don't care if you hate me, I don't want 24 00:01:21,240 --> 00:01:24,280 Speaker 1: you dying anyway. And so I was reading the Epic 25 00:01:24,360 --> 00:01:27,920 Speaker 1: Times last week, and sure enough they interviewed a guy. 26 00:01:28,120 --> 00:01:29,800 Speaker 1: I don't know why I had not heard of him before, 27 00:01:29,840 --> 00:01:33,040 Speaker 1: because I'm following this daily. His name is doctor Robert Malone. 28 00:01:33,480 --> 00:01:37,959 Speaker 1: It turns out he is the inventor of the technology 29 00:01:38,000 --> 00:01:43,639 Speaker 1: of mRNA vaccines and RNA as a drug. In other words, 30 00:01:43,959 --> 00:01:48,520 Speaker 1: the technology that led to the FISA MODERNA vaccines a 31 00:01:48,560 --> 00:01:51,400 Speaker 1: little different than the Johnson and Johnson vaccine. And I'll 32 00:01:51,440 --> 00:01:55,120 Speaker 1: let him explain the difference because he joins us now, sir, 33 00:01:55,280 --> 00:01:57,840 Speaker 1: welcome to the program. Thank you for being Willis. Thank 34 00:01:57,840 --> 00:02:01,040 Speaker 1: you for the opportunity to speak to you in your audience. 35 00:02:01,240 --> 00:02:03,200 Speaker 1: The first question, doctor, is am I doing the right 36 00:02:03,240 --> 00:02:06,400 Speaker 1: thing by telling people to take it seriously? Take you know, 37 00:02:06,560 --> 00:02:09,919 Speaker 1: do your research, learn as much as you can be informed, 38 00:02:10,840 --> 00:02:14,400 Speaker 1: take into account your unique medical history, your current medical condition, 39 00:02:14,480 --> 00:02:17,800 Speaker 1: and please talk to your doctor and then make the 40 00:02:17,919 --> 00:02:21,640 Speaker 1: right decision based on that conversation. Is that the right 41 00:02:21,680 --> 00:02:24,040 Speaker 1: advice because I see all these people in Washington that 42 00:02:24,160 --> 00:02:26,240 Speaker 1: never went to medical school and all these people on 43 00:02:26,280 --> 00:02:28,959 Speaker 1: TV that never went to medical school with one size 44 00:02:28,960 --> 00:02:31,080 Speaker 1: fits all medicine, and I have a problem with that. 45 00:02:31,760 --> 00:02:34,440 Speaker 1: You're dead on, and thank you for saying it. It's 46 00:02:34,520 --> 00:02:37,480 Speaker 1: precisely the thing that I've been trying to say. I'm 47 00:02:37,560 --> 00:02:41,280 Speaker 1: not anti vax I've been a vaccinologists for thirty years, 48 00:02:41,360 --> 00:02:43,960 Speaker 1: and as you say kindly, I did play a key 49 00:02:44,040 --> 00:02:48,079 Speaker 1: role in inventing the technology platform for these and I've 50 00:02:48,120 --> 00:02:52,480 Speaker 1: done many other things in my career, but I believe 51 00:02:52,600 --> 00:02:59,440 Speaker 1: firmly in ethics and bioethics and in ensuring that we 52 00:02:59,520 --> 00:03:03,200 Speaker 1: have saved and effective products. And it's always been the 53 00:03:03,240 --> 00:03:08,360 Speaker 1: case that vaccines have been stratified for their um for 54 00:03:08,639 --> 00:03:11,920 Speaker 1: deciding whether or not to recommend based on age, and 55 00:03:11,960 --> 00:03:16,639 Speaker 1: this is clearly a disease of the elderly m THEO piece, UM, 56 00:03:16,800 --> 00:03:19,440 Speaker 1: so you're, as far as I'm concerned, you're messaging to 57 00:03:19,520 --> 00:03:23,600 Speaker 1: your audience is pitch perfect. Well. I appreciate it because 58 00:03:23,600 --> 00:03:25,960 Speaker 1: I'm I get the crappy at otomy doctor every day 59 00:03:26,040 --> 00:03:31,360 Speaker 1: and I don't know if you cannot you know, you know, 60 00:03:31,800 --> 00:03:35,880 Speaker 1: I actually am fascinated with medicine. UM. I did an 61 00:03:35,880 --> 00:03:39,120 Speaker 1: hour special with doctor A doctor's name is doctor Rodriguez 62 00:03:39,160 --> 00:03:41,480 Speaker 1: and m Yu lang Ohn and he did the first 63 00:03:41,560 --> 00:03:45,960 Speaker 1: successful face and hand double hand transplant. UM. I have 64 00:03:46,000 --> 00:03:48,120 Speaker 1: two friends of mine that are brain surgeons. I've actually 65 00:03:48,160 --> 00:03:51,200 Speaker 1: been in an operating room watching brain surgery. I'm fascinated 66 00:03:51,200 --> 00:03:54,600 Speaker 1: by it, and I'm fascinated by science. Can you explain 67 00:03:54,680 --> 00:03:57,000 Speaker 1: to this audience, because I don't even know the answer 68 00:03:57,240 --> 00:04:01,560 Speaker 1: the difference between mRNA technology that you played a big 69 00:04:01,600 --> 00:04:05,119 Speaker 1: part in discovering, versus say, the Johnson and Johnson vaccine, 70 00:04:05,200 --> 00:04:09,800 Speaker 1: which is more historically how they did it. The Maderna 71 00:04:09,880 --> 00:04:13,160 Speaker 1: Fiza vaccines would be this new technology mRNA. Can you 72 00:04:13,200 --> 00:04:16,400 Speaker 1: explain it? Actually, you've got something a little bit wrong. 73 00:04:17,160 --> 00:04:19,440 Speaker 1: The J and J vaccine and I've heard this before. 74 00:04:19,520 --> 00:04:23,760 Speaker 1: The J and J vaccine is not a traditional vaccine technology. Okay, 75 00:04:24,160 --> 00:04:28,799 Speaker 1: All three of those are basically gene therapy technologies applied 76 00:04:28,880 --> 00:04:32,520 Speaker 1: to vaccines. The J and J technology has never been 77 00:04:33,160 --> 00:04:36,280 Speaker 1: rolled out at this level, and in fact, it stems 78 00:04:36,320 --> 00:04:39,080 Speaker 1: from the same laboratory at the same time that I 79 00:04:39,160 --> 00:04:42,279 Speaker 1: was in when I had the mRNA discoveries that being 80 00:04:42,279 --> 00:04:46,440 Speaker 1: the lab of Indraverma at the Salk Institute Molecular Biology 81 00:04:46,440 --> 00:04:50,520 Speaker 1: and Virology Lab, so I'm very familiar with both platforms. 82 00:04:51,120 --> 00:04:57,720 Speaker 1: But the ad vector tech uses a recombinant cold virus 83 00:04:57,760 --> 00:05:01,359 Speaker 1: and adnovirus, which is a DNA virus, and it puts 84 00:05:01,640 --> 00:05:05,640 Speaker 1: the A gene from the stars coby too, the spike 85 00:05:05,680 --> 00:05:09,320 Speaker 1: protein gene, into that virus, and then they grow that 86 00:05:09,600 --> 00:05:13,920 Speaker 1: and that's what's used to infect you and produce this 87 00:05:14,440 --> 00:05:18,560 Speaker 1: stars Cobe two spike protein. So in that case, your 88 00:05:18,600 --> 00:05:23,640 Speaker 1: cells are the actual manufacturing factory for the final vaccine product. 89 00:05:24,200 --> 00:05:27,080 Speaker 1: This is very different from a traditional vaccine. If you 90 00:05:27,200 --> 00:05:32,120 Speaker 1: think of say a flu vaccine, that is a purified 91 00:05:33,080 --> 00:05:37,800 Speaker 1: fragment of a vaccine that's manufactured using chicken eggs or 92 00:05:37,960 --> 00:05:41,760 Speaker 1: various other processes and then mixed with something that makes 93 00:05:41,800 --> 00:05:45,080 Speaker 1: it more reactive and then inject it as a purified 94 00:05:45,160 --> 00:05:49,760 Speaker 1: protein preparation into your arm. What these vaccines are more 95 00:05:49,839 --> 00:05:57,080 Speaker 1: like is attenuated vaccine. So that's a polio, smallpox, yellow fever. 96 00:05:57,520 --> 00:06:01,800 Speaker 1: Those are all attenuated, live attenuated vaccine. But in this case, 97 00:06:02,040 --> 00:06:06,440 Speaker 1: both the adno vector J and J and the maderna 98 00:06:06,640 --> 00:06:12,480 Speaker 1: or fiser that's the mRNA employ methods for putting a foreign, 99 00:06:12,760 --> 00:06:16,600 Speaker 1: foreign genetic material into your cells, causing your cells to 100 00:06:16,680 --> 00:06:19,960 Speaker 1: make the foreign protein spike, and then that is what 101 00:06:20,200 --> 00:06:24,400 Speaker 1: generates steam in response. Does that make sense? It does? 102 00:06:24,520 --> 00:06:28,119 Speaker 1: But you know, you're way more you're way more sophisticated 103 00:06:28,440 --> 00:06:32,920 Speaker 1: about this. Now. If it's not making sense, I'm not 104 00:06:33,000 --> 00:06:36,120 Speaker 1: doing it well. As Richard Feinman said, if you can't 105 00:06:36,200 --> 00:06:40,120 Speaker 1: make a complex topic understandable, then you don't really understand it. No, 106 00:06:40,200 --> 00:06:42,680 Speaker 1: but I do. So let me ask it in these terms, 107 00:06:42,720 --> 00:06:46,440 Speaker 1: because okay, people, you know, we have seen the results 108 00:06:46,640 --> 00:06:50,200 Speaker 1: and the efficacy. You know, early efficacy was in the 109 00:06:50,279 --> 00:06:53,159 Speaker 1: high nineties for Bold, Maderna and Fiser. I think it 110 00:06:53,200 --> 00:06:56,080 Speaker 1: was seventy four or seventy seven percent for the Johnson 111 00:06:56,080 --> 00:06:59,480 Speaker 1: and Johnson vaccine. Now we've have the delta variant, and 112 00:06:59,640 --> 00:07:03,560 Speaker 1: behind at the Peruvian lambda variant. Then this new move variant, 113 00:07:03,960 --> 00:07:06,200 Speaker 1: and there's a new variant. I don't know how to 114 00:07:06,240 --> 00:07:09,000 Speaker 1: actually pronounce it. It's our dot one or our point 115 00:07:09,000 --> 00:07:12,000 Speaker 1: one or whatever they're calling it that infected forty five residents. 116 00:07:12,360 --> 00:07:15,720 Speaker 1: It seems that's the greatest fear now surrounds this one. 117 00:07:15,920 --> 00:07:19,720 Speaker 1: In a Kentucky nursing home where all the patients were 118 00:07:19,720 --> 00:07:22,200 Speaker 1: fully vaccinated and they had every one of them was 119 00:07:22,200 --> 00:07:28,320 Speaker 1: a breakout case. Yep. So what we're so, well, how 120 00:07:28,800 --> 00:07:31,280 Speaker 1: what's your question? How? Let me focus on question is 121 00:07:32,080 --> 00:07:35,120 Speaker 1: we didn't we knew there'd be variations. I mean, people 122 00:07:35,160 --> 00:07:38,520 Speaker 1: study viruses their whole life. Obviously you have spent devoted 123 00:07:38,560 --> 00:07:41,240 Speaker 1: a long period of your life doing this. Now we 124 00:07:41,280 --> 00:07:44,760 Speaker 1: didn't expect breakout cases, you know. And then people now 125 00:07:44,760 --> 00:07:47,720 Speaker 1: are talking about boosters and people talking about, well, what 126 00:07:47,760 --> 00:07:51,760 Speaker 1: the efficacy of Maderna fiser janej is over time and 127 00:07:51,840 --> 00:07:56,680 Speaker 1: that the efficacy lessons? What is natural immunity? How does 128 00:07:57,000 --> 00:08:02,640 Speaker 1: natural immunity impact a decision to get the Let's stop there. 129 00:08:02,960 --> 00:08:04,840 Speaker 1: That's a good that's a goodly amount of stuff just 130 00:08:04,920 --> 00:08:09,320 Speaker 1: to talk about right there. So, um, let's start with efficacy. 131 00:08:09,600 --> 00:08:14,400 Speaker 1: So there's um. The language you'll hear is efficacy and effectiveness. 132 00:08:14,840 --> 00:08:18,240 Speaker 1: Efficacy is something that's measured in a clinical trial, which 133 00:08:18,360 --> 00:08:24,080 Speaker 1: often will over represent how good something is because of 134 00:08:24,160 --> 00:08:28,680 Speaker 1: the controlled nature of doing a clinical trial. Effectiveness is 135 00:08:28,720 --> 00:08:30,480 Speaker 1: how good does it work in the field in the 136 00:08:30,520 --> 00:08:34,520 Speaker 1: real world. Okay, So those are two keywords, and the 137 00:08:34,559 --> 00:08:40,440 Speaker 1: efficacy that you're talking about from these relatively modest, very brief, 138 00:08:40,559 --> 00:08:45,120 Speaker 1: initial clinical trials that they rushed U was efficacy. You're 139 00:08:45,360 --> 00:08:50,160 Speaker 1: you're citing the numbers for death and disease. Protection against 140 00:08:50,160 --> 00:08:54,880 Speaker 1: death and disease. That's different from protection against infection or 141 00:08:54,960 --> 00:08:59,600 Speaker 1: replication or spread. Okay, So it turns out that even 142 00:08:59,679 --> 00:09:03,120 Speaker 1: back in the day when we were dealing with the 143 00:09:03,120 --> 00:09:06,000 Speaker 1: original strains, that are the ones that are matched to 144 00:09:06,120 --> 00:09:10,200 Speaker 1: these vaccines, because now we got different viruses basically that 145 00:09:10,320 --> 00:09:15,640 Speaker 1: aren't matched to these current vaccines. But back in the day, 146 00:09:15,720 --> 00:09:18,960 Speaker 1: what they didn't disclose, you know, it wasn't in the press, 147 00:09:19,280 --> 00:09:23,880 Speaker 1: and you're no stranger to the let's say legacy media, 148 00:09:25,040 --> 00:09:29,040 Speaker 1: just basically regurgitating whatever pablem the government gives them and 149 00:09:29,040 --> 00:09:31,800 Speaker 1: the pharmaceutical companies give them. So that's what we had. 150 00:09:32,280 --> 00:09:35,280 Speaker 1: They just kind of regurgitated it to us. They didn't 151 00:09:35,280 --> 00:09:39,200 Speaker 1: ask questions, but in fact, the ability of the vaccines 152 00:09:39,240 --> 00:09:44,440 Speaker 1: to block infection was not anywhere near ninety percent. Now 153 00:09:44,480 --> 00:09:49,520 Speaker 1: what we have is evolved strains. So this is you know, 154 00:09:49,640 --> 00:09:53,640 Speaker 1: fundamental Darwinian evolution kind of stuff, where you have selective 155 00:09:53,640 --> 00:09:56,920 Speaker 1: pressure imposed by the vaccines and no surprise, because you 156 00:09:56,960 --> 00:10:00,280 Speaker 1: only have a single antigen as single protein from the 157 00:10:00,360 --> 00:10:05,040 Speaker 1: virus that's being produced in the vaccinated. No surprise that 158 00:10:05,080 --> 00:10:10,000 Speaker 1: the virus is evolving to escape that immune pressure caused 159 00:10:10,000 --> 00:10:13,520 Speaker 1: by those vaccines. Now there's another wrinkle to this in 160 00:10:13,559 --> 00:10:18,160 Speaker 1: that generally we use vaccines before we have a pandemic, right, 161 00:10:18,200 --> 00:10:20,160 Speaker 1: that's how we need to try to get them out. 162 00:10:20,280 --> 00:10:25,319 Speaker 1: And that's a different situation. Vaccinating into an ongoing pandemic 163 00:10:25,520 --> 00:10:28,680 Speaker 1: when there's a whole lot of virus circulating is a 164 00:10:28,720 --> 00:10:32,920 Speaker 1: whole different kettlefish. And what happens then you really do 165 00:10:33,040 --> 00:10:36,920 Speaker 1: have a setup for development of these escape mutes, which 166 00:10:36,960 --> 00:10:40,600 Speaker 1: is what you're seeing. The virus is evolving to escape 167 00:10:40,640 --> 00:10:44,520 Speaker 1: the vaccines, and it will continue to do so, particularly 168 00:10:44,559 --> 00:10:48,959 Speaker 1: if we have a universal vaccination policy. What we've got 169 00:10:49,400 --> 00:10:51,800 Speaker 1: I like to say, is the situation. I don't know 170 00:10:51,840 --> 00:10:57,280 Speaker 1: if you have kids, sir, but I okay, so yeah, 171 00:10:57,360 --> 00:11:01,439 Speaker 1: minor now I'm married and after the lives. But I 172 00:11:01,440 --> 00:11:03,079 Speaker 1: always like to say, if you give a three year 173 00:11:03,080 --> 00:11:07,640 Speaker 1: old a hammer, everything comes nail and they seem to think, yeah, 174 00:11:07,720 --> 00:11:11,800 Speaker 1: you get it right, right, these fundamental things, you know, 175 00:11:12,000 --> 00:11:14,600 Speaker 1: this is everybody can understand this. You know, you give 176 00:11:14,679 --> 00:11:18,560 Speaker 1: somebody cool new tech that's really powerful, and they think 177 00:11:18,600 --> 00:11:21,040 Speaker 1: that they can just drive all their problems home with 178 00:11:21,200 --> 00:11:25,079 Speaker 1: that tech. But it's not that simple. And what we're 179 00:11:25,120 --> 00:11:28,040 Speaker 1: at risk for with this universal policies, we're going to 180 00:11:28,120 --> 00:11:32,160 Speaker 1: continue to generate escape mutants and they will converge on 181 00:11:32,960 --> 00:11:36,520 Speaker 1: escape mutants that this is happening. We can see it, 182 00:11:37,120 --> 00:11:40,240 Speaker 1: and if you follow the genetics, it's kind of complex stuff, 183 00:11:40,280 --> 00:11:44,000 Speaker 1: but it's for sure happening. It will drive towards some 184 00:11:44,120 --> 00:11:47,600 Speaker 1: common set of variants that's really good at replicating and 185 00:11:47,760 --> 00:11:51,640 Speaker 1: escaping the vaccine. And then what happens, Oh, the people 186 00:11:51,720 --> 00:11:55,640 Speaker 1: that really needed the vaccine the most, the elderly, the obese, 187 00:11:56,200 --> 00:11:59,640 Speaker 1: the immuno suppressed, they're no longer going to have first 188 00:11:59,720 --> 00:12:01,840 Speaker 1: line protection. They're gonna be back where they were before, 189 00:12:02,160 --> 00:12:06,960 Speaker 1: only with viruses that are even more highly replication competent. 190 00:12:07,040 --> 00:12:09,920 Speaker 1: Because that's the other thing that's happened is these new 191 00:12:10,000 --> 00:12:14,800 Speaker 1: variants replicate at much higher levels whether you're vaccinated or not, 192 00:12:15,120 --> 00:12:18,920 Speaker 1: so if you get infected, if you're vaccinated. Here's the 193 00:12:18,920 --> 00:12:23,040 Speaker 1: paradox that is just a lot of people are waking 194 00:12:23,120 --> 00:12:27,680 Speaker 1: up to this. Okay, there's all this talk that it's 195 00:12:27,720 --> 00:12:31,559 Speaker 1: the unvaccinated that are creating risk for the vaccinated. Now, 196 00:12:31,600 --> 00:12:33,800 Speaker 1: that just doesn't make sense when you think it through. 197 00:12:34,320 --> 00:12:38,280 Speaker 1: If these vaccines are worth the grain as salt another word, 198 00:12:38,320 --> 00:12:40,440 Speaker 1: you're saying, have you got the vaccine, you should be 199 00:12:40,480 --> 00:12:44,960 Speaker 1: protected regardless of what. Do you have a logical right? Yeah? Right? Okay, 200 00:12:45,280 --> 00:12:47,760 Speaker 1: So how does it make any sense at all that 201 00:12:47,840 --> 00:12:51,520 Speaker 1: the unvaccinated are the ones that are the problem. In fact, 202 00:12:51,720 --> 00:12:56,000 Speaker 1: what's happening is that the vaccinated are when they are 203 00:12:56,000 --> 00:12:59,280 Speaker 1: infected and these we now know what these new strains 204 00:12:59,320 --> 00:13:03,640 Speaker 1: that they're the protection against infection is something like forty 205 00:13:03,640 --> 00:13:06,440 Speaker 1: to sixty percent. Okay, so it's really not that great. 206 00:13:06,880 --> 00:13:10,560 Speaker 1: And if you do get infected, your chance of having 207 00:13:10,640 --> 00:13:13,719 Speaker 1: severe disease is lower. Well that sounds good, right, that's 208 00:13:13,720 --> 00:13:16,400 Speaker 1: a good thing. Well, that's what the science has showed us. 209 00:13:16,440 --> 00:13:19,520 Speaker 1: You're right, and risk of hospitalization and death is right. 210 00:13:20,120 --> 00:13:24,199 Speaker 1: Here's the wrinkle in that, okay, is that what that 211 00:13:24,320 --> 00:13:28,439 Speaker 1: means is the folks that are vaccinated are still getting infected. 212 00:13:28,960 --> 00:13:32,360 Speaker 1: They're replicating virus in their bodies at the same or 213 00:13:32,440 --> 00:13:35,839 Speaker 1: higher levels than they were before. They're shedding virus at 214 00:13:35,840 --> 00:13:39,080 Speaker 1: the same or higher levels. Than they were before. Remember 215 00:13:39,120 --> 00:13:41,199 Speaker 1: at the beginning of the outbreak when we talked about 216 00:13:41,200 --> 00:13:45,880 Speaker 1: super spreaders, we've created a whole, huge bunch of super spreaders. 217 00:13:46,040 --> 00:13:49,120 Speaker 1: So the truth is that's the unvaccinated that are at 218 00:13:49,240 --> 00:13:51,960 Speaker 1: risk from the vaccinated. Does that make sense. It doesn't. 219 00:13:52,000 --> 00:13:54,600 Speaker 1: It doesn't, because they're also at risk of just getting 220 00:13:54,600 --> 00:13:58,960 Speaker 1: it also, especially the more highly contagious variants. No, if 221 00:13:58,960 --> 00:14:01,839 Speaker 1: you're on vaccinated, yes, it's true. But the difference is 222 00:14:02,120 --> 00:14:05,280 Speaker 1: that now we have folks walking around who think they're 223 00:14:05,280 --> 00:14:08,360 Speaker 1: perfectly healthy, but in fact they're making a lot of virus, 224 00:14:08,400 --> 00:14:09,960 Speaker 1: and we have a lot of those people doing that. 225 00:14:10,200 --> 00:14:13,240 Speaker 1: So that's the difference. You look at it sideways, different 226 00:14:13,280 --> 00:14:16,959 Speaker 1: from the way you're being told. You know, it should 227 00:14:17,040 --> 00:14:20,480 Speaker 1: be that the vaccinated are protected, they're not at risk 228 00:14:20,560 --> 00:14:22,680 Speaker 1: from the unvaccinated. That should be the way it is. 229 00:14:22,720 --> 00:14:24,720 Speaker 1: All Right, we got to take a break. We'll come back. 230 00:14:24,760 --> 00:14:27,720 Speaker 1: We have more with doctor Robert Malone. He played a 231 00:14:27,840 --> 00:14:34,040 Speaker 1: very key role in inventing the technology behind mRNA vaccines, 232 00:14:34,400 --> 00:14:39,000 Speaker 1: and it's a fascinating discussion. I go back to my 233 00:14:39,120 --> 00:14:42,400 Speaker 1: admonition though, that I make every day is please do 234 00:14:42,440 --> 00:14:44,720 Speaker 1: your own research, talk to your own doctor. But please 235 00:14:44,760 --> 00:14:47,600 Speaker 1: take it seriously. I don't want anybody in this audience 236 00:14:47,640 --> 00:14:50,960 Speaker 1: ever dying ever. And then we'll talk about therapeutics on 237 00:14:51,000 --> 00:14:54,240 Speaker 1: the other side, regeneron monoclonal antibodies. And we got a 238 00:14:54,280 --> 00:14:58,080 Speaker 1: lot of questions for doctor Malone. It's you know, this 239 00:14:58,160 --> 00:15:01,240 Speaker 1: is way out of my arena. So I'm learning like 240 00:15:01,320 --> 00:15:04,720 Speaker 1: you are. We continue our discussion. We're joined by doctor 241 00:15:04,800 --> 00:15:08,840 Speaker 1: Robert Malone. You've heard of the Fiser vaccine, the Maderna vaccine. 242 00:15:09,240 --> 00:15:11,720 Speaker 1: He happens to have played one of the key roles, 243 00:15:11,760 --> 00:15:15,480 Speaker 1: if not the key role, in inventing the technology that 244 00:15:15,640 --> 00:15:21,160 Speaker 1: led to the mRNA vaccines like Maderna and Fiser. And 245 00:15:21,280 --> 00:15:24,840 Speaker 1: we're talking about, you know, all things involving COVID again, 246 00:15:25,080 --> 00:15:28,360 Speaker 1: information and again I urge you to talk to your 247 00:15:28,360 --> 00:15:31,440 Speaker 1: own doctors about what the right decision is. Doctor if 248 00:15:31,480 --> 00:15:35,000 Speaker 1: I might just ask a simple question, because obviously this 249 00:15:35,080 --> 00:15:39,240 Speaker 1: is your technology that they've used. You helped invent this, 250 00:15:39,480 --> 00:15:43,760 Speaker 1: which means you're a pretty smart guy, and you're telling 251 00:15:43,840 --> 00:15:47,640 Speaker 1: us things about these variants. It gets a little chilling 252 00:15:47,680 --> 00:15:49,600 Speaker 1: to me to hear some of what you're saying. I 253 00:15:49,600 --> 00:15:51,240 Speaker 1: don't know why we haven't heard more from you. Up 254 00:15:51,280 --> 00:15:55,600 Speaker 1: to this point. But my question is this, So for people, 255 00:15:56,160 --> 00:16:01,240 Speaker 1: you support science obviously, and you support the vaccination science, 256 00:16:01,840 --> 00:16:07,400 Speaker 1: and your breakthrough led to these vaccines. So I know 257 00:16:07,480 --> 00:16:10,920 Speaker 1: it's a general question and you can't answer specific questions 258 00:16:10,920 --> 00:16:14,320 Speaker 1: of individuals with unique medical histories and you don't know 259 00:16:14,400 --> 00:16:18,280 Speaker 1: anything about their conditions, But generally, how do you feel 260 00:16:18,280 --> 00:16:21,440 Speaker 1: about the vaccines based on the technology you played a 261 00:16:21,480 --> 00:16:24,920 Speaker 1: pivotal role in discovering. I think they've been rushed. I 262 00:16:24,960 --> 00:16:28,360 Speaker 1: think that's pretty clear. Two key things. We needed more 263 00:16:28,400 --> 00:16:31,680 Speaker 1: information about the adverse events the risks of the vaccine, 264 00:16:32,200 --> 00:16:36,560 Speaker 1: and the other was that the database structure that the 265 00:16:36,640 --> 00:16:41,040 Speaker 1: CDC had used to capture these adverse events was broken. 266 00:16:41,080 --> 00:16:44,440 Speaker 1: It wasn't working. I was really controversial at the time, 267 00:16:44,920 --> 00:16:48,520 Speaker 1: but both things have now been proven true. So in 268 00:16:48,600 --> 00:16:52,880 Speaker 1: terms of my point of view, these were rushed, and 269 00:16:53,200 --> 00:16:56,560 Speaker 1: unfortunately we're now dealing with the consequences of things that 270 00:16:56,640 --> 00:17:01,440 Speaker 1: weren't detected when they should have been. But I personally 271 00:17:01,560 --> 00:17:05,720 Speaker 1: my position is that based on the current data, and 272 00:17:05,800 --> 00:17:09,239 Speaker 1: I've written two op eds in the Washington Times with 273 00:17:09,280 --> 00:17:13,320 Speaker 1: Peter Navarro about this, based on the current data, it 274 00:17:13,400 --> 00:17:18,280 Speaker 1: makes sense to vaccinate people sixty five and older, morbidly obese, 275 00:17:18,960 --> 00:17:23,000 Speaker 1: and people with immune deficiencies. These are the specific groups 276 00:17:23,040 --> 00:17:30,320 Speaker 1: that the FDA Verbeck's commutee and endorsed for the third JAB. Okay, 277 00:17:30,440 --> 00:17:34,359 Speaker 1: and would you add to call morbidities pre existing conditions 278 00:17:34,400 --> 00:17:37,720 Speaker 1: that might be applicable. Yeah, that's why I said high 279 00:17:37,760 --> 00:17:42,359 Speaker 1: risk conditions. Now, what just to dive in down that 280 00:17:42,480 --> 00:17:45,520 Speaker 1: rabbit hole for a moment. What the FDA just did 281 00:17:46,600 --> 00:17:51,280 Speaker 1: was they authorized for the third JAB for those specific people, 282 00:17:51,440 --> 00:17:55,600 Speaker 1: but then also extended it to anybody who has frequent 283 00:17:55,640 --> 00:17:59,080 Speaker 1: contact with the public. So that's where the FDA's at. 284 00:17:59,119 --> 00:18:02,800 Speaker 1: That's not where I'm suggesting that the data show that 285 00:18:02,920 --> 00:18:08,440 Speaker 1: the risk benefit ratio for elderly, morbidly obese, immitter deficiency 286 00:18:08,800 --> 00:18:12,600 Speaker 1: patients and others that are very high risk, it's still 287 00:18:12,720 --> 00:18:16,240 Speaker 1: a good bet to take the vaccine for everybody else. 288 00:18:16,880 --> 00:18:20,760 Speaker 1: In my opinion and that of many other colleagues that 289 00:18:20,880 --> 00:18:23,720 Speaker 1: are out in the front lines actually treating patients in 290 00:18:23,760 --> 00:18:25,800 Speaker 1: their homes now, instead of waiting for them to go 291 00:18:25,840 --> 00:18:29,280 Speaker 1: to the hospital, we should go ahead and make available 292 00:18:29,600 --> 00:18:35,680 Speaker 1: the variety of drugs, largely anti inflammatories, not perfect, but 293 00:18:36,680 --> 00:18:39,719 Speaker 1: that are being used by physicians all over the world 294 00:18:40,320 --> 00:18:42,680 Speaker 1: to keep people out of the hospital and keep them 295 00:18:42,680 --> 00:18:45,040 Speaker 1: from dying and keep them from developing. These are the 296 00:18:45,119 --> 00:18:50,719 Speaker 1: steroids that are often prescribed when people test positive. Steroids 297 00:18:50,720 --> 00:18:54,560 Speaker 1: are one solution, and that's part of the arbimentarium, but 298 00:18:54,680 --> 00:18:59,879 Speaker 1: frankly so is hydroxychlorically and many others. So there's a 299 00:19:00,240 --> 00:19:02,720 Speaker 1: and by the way, this is a simple thing that 300 00:19:02,800 --> 00:19:04,960 Speaker 1: your audience can do, and it's good for all of us. 301 00:19:05,560 --> 00:19:08,280 Speaker 1: Go to your dock and get your vitamin D levels checked. 302 00:19:08,720 --> 00:19:10,720 Speaker 1: And there's a darn good chance that they're going to 303 00:19:10,800 --> 00:19:12,480 Speaker 1: be too low, and if they are, you ought to 304 00:19:12,520 --> 00:19:16,399 Speaker 1: take supplements because the data are pretty clear that having 305 00:19:17,119 --> 00:19:19,840 Speaker 1: your vitamin D levels up at the right level can 306 00:19:19,960 --> 00:19:22,960 Speaker 1: go a long way to preventing you from getting this disease. 307 00:19:24,359 --> 00:19:27,640 Speaker 1: Let me go and ask this question. So I have 308 00:19:27,720 --> 00:19:32,000 Speaker 1: two friends of mine that live in Atlanta. They were unvaccinated, 309 00:19:32,040 --> 00:19:34,560 Speaker 1: one seventy four, his wife is I think sixty eight, 310 00:19:35,240 --> 00:19:38,840 Speaker 1: and within twenty four hours of their diagnosis they were 311 00:19:38,880 --> 00:19:42,040 Speaker 1: at Emory University Hospital getting an infusion of regenera on 312 00:19:42,240 --> 00:19:46,080 Speaker 1: the monoclonal and the bodies. I have another friend of 313 00:19:46,119 --> 00:19:48,639 Speaker 1: mine who lives, you know, ten minutes from my house, 314 00:19:49,080 --> 00:19:53,159 Speaker 1: and he's fully vaccinated, and he got a home test. First, 315 00:19:53,240 --> 00:19:55,320 Speaker 1: he had the Abbot test and it turned out to 316 00:19:55,320 --> 00:19:57,840 Speaker 1: be accurate, and he got it confirmed at a lab. 317 00:19:59,000 --> 00:20:01,440 Speaker 1: He had a breakthrough. He had been fully vaccinated for 318 00:20:01,640 --> 00:20:04,800 Speaker 1: quite a while. Um. Within twenty four hours, he got 319 00:20:04,800 --> 00:20:09,240 Speaker 1: the monoclonal antibodies for general infusion in his case and 320 00:20:09,280 --> 00:20:12,960 Speaker 1: he's you know, it was a little overweight and um um. 321 00:20:13,160 --> 00:20:14,920 Speaker 1: He had the best ten days of his life. He 322 00:20:15,000 --> 00:20:17,320 Speaker 1: sent his family down to Florida so they wouldn't contract 323 00:20:17,440 --> 00:20:21,000 Speaker 1: contract the virus from him, and he went fishing every 324 00:20:21,080 --> 00:20:23,879 Speaker 1: day and was sending me, you know, pictures of forty 325 00:20:23,960 --> 00:20:27,280 Speaker 1: pounds stripe past that he was catching. Uh. Enjoying his 326 00:20:27,400 --> 00:20:31,159 Speaker 1: free is what he called his COVID vacation because he 327 00:20:31,200 --> 00:20:37,520 Speaker 1: felt great after getting the infusion. Um. Yeah, right, then 328 00:20:37,560 --> 00:20:39,920 Speaker 1: there's poor Joe Rogan. And by the way, why am 329 00:20:39,920 --> 00:20:42,360 Speaker 1: I like the only one saying thank god he's okay. 330 00:20:42,840 --> 00:20:44,920 Speaker 1: I don't care what your politics are, doctor, I mean 331 00:20:44,960 --> 00:20:47,240 Speaker 1: this with all my heart. I don't want anybody dying 332 00:20:47,280 --> 00:20:51,760 Speaker 1: from this thing. I really don't know is a hero 333 00:20:51,880 --> 00:20:54,679 Speaker 1: all over the world. I just spent two weeks in 334 00:20:54,880 --> 00:21:00,400 Speaker 1: Europe touring relating to COVID, and and people people thought 335 00:21:00,480 --> 00:21:05,920 Speaker 1: Joe roganum everywhere, he's got amazing reach. But if your 336 00:21:05,960 --> 00:21:10,320 Speaker 1: point is, and I'm going to mention a name, Ron 337 00:21:10,359 --> 00:21:16,240 Speaker 1: de Santis, who went out hard in favor of these 338 00:21:16,320 --> 00:21:20,919 Speaker 1: antibody cocktails and has specifically called out that this was 339 00:21:21,000 --> 00:21:27,159 Speaker 1: what they used with the potus, And he has really 340 00:21:27,520 --> 00:21:31,280 Speaker 1: quenched the outbreak to a large extent in terms of 341 00:21:31,320 --> 00:21:35,200 Speaker 1: death and disease in Florida because he has aggressively made 342 00:21:35,200 --> 00:21:39,800 Speaker 1: available these antibody cocktails. Well, now, from what I've been 343 00:21:39,840 --> 00:21:42,119 Speaker 1: able to gather from my sources, we don't have a 344 00:21:42,160 --> 00:21:46,600 Speaker 1: shortage of monoclonal antibodies. Not quite the contrary. I mean, 345 00:21:46,640 --> 00:21:51,199 Speaker 1: we're sharing it with countries all around the world. I agree. 346 00:21:51,280 --> 00:21:54,760 Speaker 1: And yet, and yet, paradoxically, now the federal government is 347 00:21:54,840 --> 00:21:59,440 Speaker 1: going to restrict availability of these monoclonals in Florida. Now 348 00:21:59,600 --> 00:22:02,080 Speaker 1: rep your head around that. Well, let me ask this 349 00:22:02,200 --> 00:22:06,159 Speaker 1: question then, whether you're unvaccinated or vaccinated, like my friends 350 00:22:06,160 --> 00:22:08,920 Speaker 1: and Georgia were not vaccinated. My friend in New York 351 00:22:09,000 --> 00:22:12,440 Speaker 1: was vaccinated and they come down with COVID. The next 352 00:22:12,480 --> 00:22:15,720 Speaker 1: question is what is the next course of action? I 353 00:22:16,240 --> 00:22:20,520 Speaker 1: personally and I've interviewed doctors graduating from Harvard and Yale, 354 00:22:20,560 --> 00:22:23,280 Speaker 1: and we've had, you know, people on the front lines, 355 00:22:23,720 --> 00:22:26,760 Speaker 1: unlike doctor Fauci, I'm not particularly fond of at this point. 356 00:22:27,520 --> 00:22:31,480 Speaker 1: And you know, remember doctor Fauci doesn't treat patients. It's 357 00:22:31,520 --> 00:22:34,120 Speaker 1: kind of important to know, doctor fallI. That is an 358 00:22:34,119 --> 00:22:37,000 Speaker 1: interesting little point. And those emails were pretty revealing, and 359 00:22:37,040 --> 00:22:40,280 Speaker 1: the intercept pages were more revealing. But that's a different 360 00:22:40,320 --> 00:22:42,720 Speaker 1: story for a different day. But I want to give 361 00:22:42,760 --> 00:22:45,119 Speaker 1: good information to my audience. Wait until the first thing 362 00:22:45,280 --> 00:22:51,120 Speaker 1: book comes out. I'm sorry, wait until JFK. Junior's book 363 00:22:51,119 --> 00:22:53,920 Speaker 1: comes out about mister Fauci, you will open your eyes 364 00:22:54,960 --> 00:22:58,960 Speaker 1: really Okay, So my question to you is, now, I'm 365 00:22:58,960 --> 00:23:00,680 Speaker 1: not a doctor. I'm not I'm not going to play 366 00:23:00,680 --> 00:23:02,960 Speaker 1: one on radio. So I'm asking you. You know, you've 367 00:23:03,000 --> 00:23:06,480 Speaker 1: played the big role in inventing the technology for these vaccines, 368 00:23:06,520 --> 00:23:10,919 Speaker 1: which is pretty fascinating to me. You're obviously a brilliant man. 369 00:23:11,440 --> 00:23:13,720 Speaker 1: And my question is, so you have a breakthrough case, 370 00:23:13,720 --> 00:23:18,600 Speaker 1: so you're unvaccinated, you contract COVID and and what's what's 371 00:23:18,640 --> 00:23:22,479 Speaker 1: the next bit of advice you'd give people. My advice 372 00:23:22,520 --> 00:23:27,439 Speaker 1: would be immediately go talk to your doctor about monoclonal antibodies. 373 00:23:27,560 --> 00:23:30,159 Speaker 1: That's what my first bit of information would be asked. 374 00:23:30,320 --> 00:23:34,119 Speaker 1: I think that's I think that's great advice. There's also 375 00:23:35,240 --> 00:23:40,800 Speaker 1: many other complementary drugs and the agents that you can take. 376 00:23:41,440 --> 00:23:47,920 Speaker 1: But you, you know, given that you're responsible broadcaster and journalist, 377 00:23:49,080 --> 00:23:53,560 Speaker 1: I think that's a superposition to take. Nobody in in 378 00:23:53,960 --> 00:23:58,520 Speaker 1: the FDA or in the fact checker community can hit 379 00:23:58,560 --> 00:24:01,440 Speaker 1: you on that. One quick break more with doctor Robert Malone. 380 00:24:01,560 --> 00:24:04,760 Speaker 1: He played an instrumental role in the invention of the 381 00:24:05,000 --> 00:24:11,840 Speaker 1: mr NA technology. All Right, we continue. Doctor Robert Malone 382 00:24:12,000 --> 00:24:15,600 Speaker 1: played an integral part, a key role in the invention 383 00:24:15,680 --> 00:24:19,560 Speaker 1: of the mr NA technology that led to the Maderna 384 00:24:19,680 --> 00:24:22,800 Speaker 1: Faiza vaccines. Now, let me ask you about these new 385 00:24:22,960 --> 00:24:26,040 Speaker 1: variants here. And there's one in particular in Kentucky. I'm 386 00:24:26,080 --> 00:24:28,080 Speaker 1: not sure how the pronouncing is R dot one or 387 00:24:28,600 --> 00:24:32,240 Speaker 1: R one um it infected forty five residents and employees 388 00:24:32,240 --> 00:24:36,280 Speaker 1: in this one particular facility in Kentucky. There's a there's 389 00:24:36,280 --> 00:24:39,000 Speaker 1: a great there's a great article in Forbes on that 390 00:24:39,119 --> 00:24:43,680 Speaker 1: written by Bill Hazeltine. It's really comprehensive. Um So that's 391 00:24:43,720 --> 00:24:45,880 Speaker 1: a good one to look at. Um. And then there 392 00:24:46,000 --> 00:24:49,200 Speaker 1: is a CDC report from about two months ago that's 393 00:24:49,200 --> 00:24:54,960 Speaker 1: easy to find by just searching the CDC MMWR journal, 394 00:24:55,400 --> 00:24:58,240 Speaker 1: M and battle. Well, let me quote the Forbes article 395 00:24:58,320 --> 00:25:01,640 Speaker 1: for you scientists. The name of William Hazelton. And maybe 396 00:25:01,680 --> 00:25:08,240 Speaker 1: you know, maybe you don't smart guy sciences. He's a 397 00:25:08,280 --> 00:25:11,840 Speaker 1: big shot, a Harvard big shot. Okay. R one is 398 00:25:11,880 --> 00:25:15,000 Speaker 1: a variant. Is the variant to watch. He said, it's 399 00:25:15,119 --> 00:25:18,040 Speaker 1: established a foothold in both Japan and the US, and 400 00:25:18,119 --> 00:25:21,880 Speaker 1: he added it features several unique mutations that could give 401 00:25:21,880 --> 00:25:27,200 Speaker 1: it advantages in transmission, replication, and immune suppression, and one 402 00:25:27,320 --> 00:25:30,800 Speaker 1: mutation named E four eighty four K and I have 403 00:25:30,840 --> 00:25:33,400 Speaker 1: no idea what I'm saying here. Just stay with me, doctor, 404 00:25:33,720 --> 00:25:36,399 Speaker 1: located in the spike protein of the virus, gives it 405 00:25:36,520 --> 00:25:42,200 Speaker 1: quote an increased resistance to antibodies generated by the vaccine. 406 00:25:42,640 --> 00:25:46,639 Speaker 1: And R one shares an additional mutation D six one 407 00:25:46,800 --> 00:25:50,720 Speaker 1: four G with all other variants that that have overtaken 408 00:25:50,760 --> 00:25:55,359 Speaker 1: the original alpha strain, which increases infectiousness. So I'm giving 409 00:25:55,359 --> 00:25:57,320 Speaker 1: you a lot of information that it has. It has 410 00:25:57,359 --> 00:26:02,200 Speaker 1: another it has another mutation that REases its replication in humans. 411 00:26:02,440 --> 00:26:04,160 Speaker 1: I didn't want to show off. I would have brought 412 00:26:04,160 --> 00:26:07,280 Speaker 1: that up to you're you're you are on it, my friend. 413 00:26:07,840 --> 00:26:10,080 Speaker 1: So what does it mean though, because I really don't 414 00:26:10,160 --> 00:26:15,880 Speaker 1: understand it. So this the current vaccine products, and there's 415 00:26:15,920 --> 00:26:19,359 Speaker 1: new ones coming that are second generation products, but the 416 00:26:19,440 --> 00:26:23,760 Speaker 1: current vaccine products all rely on the spike protein. And 417 00:26:23,800 --> 00:26:26,840 Speaker 1: the spike protein was the focus because it was known 418 00:26:26,880 --> 00:26:32,159 Speaker 1: that uh, that protein would provide pretty good protection and 419 00:26:32,200 --> 00:26:35,320 Speaker 1: so it was a safe bet. And the problem with 420 00:26:35,440 --> 00:26:41,080 Speaker 1: that is that the antibodies for the B cell antibody 421 00:26:41,160 --> 00:26:46,120 Speaker 1: based immunity, in order for them to be effective, there's 422 00:26:46,160 --> 00:26:50,480 Speaker 1: a limited number of targets places that they combine to 423 00:26:50,760 --> 00:26:53,840 Speaker 1: on the spike protein to block the ability of the 424 00:26:53,920 --> 00:26:57,960 Speaker 1: virus to infect other cells and neutralize the virus. And 425 00:26:58,440 --> 00:27:03,280 Speaker 1: the thing is that those it's really turned out to 426 00:27:03,320 --> 00:27:06,800 Speaker 1: be complex. There's been some fascinating science done in the 427 00:27:07,040 --> 00:27:11,640 Speaker 1: Joya Institute of Allergy and Immunology by a large international 428 00:27:11,640 --> 00:27:15,120 Speaker 1: team mapping all these different domains, and basically what Bill 429 00:27:15,200 --> 00:27:18,320 Speaker 1: is pointing out is that one of those domains is 430 00:27:18,359 --> 00:27:23,399 Speaker 1: being mutated so that the antibodies, which normally would be 431 00:27:23,440 --> 00:27:26,639 Speaker 1: able to bind there aren't binding or aren't binding as 432 00:27:26,680 --> 00:27:29,480 Speaker 1: efficiently the ones evoked by the vaccine, because remember the 433 00:27:29,520 --> 00:27:32,960 Speaker 1: vaccine is against the original alpha strain, so it's no 434 00:27:33,000 --> 00:27:35,760 Speaker 1: longer matched. This is one of the big problems. The 435 00:27:35,800 --> 00:27:40,200 Speaker 1: truth is that we're vaccinating for yesterday's virus, okay, and 436 00:27:40,240 --> 00:27:42,600 Speaker 1: so we're generating friends of mine yell at me for 437 00:27:42,720 --> 00:27:44,960 Speaker 1: getting a flu shot every year, and half of my 438 00:27:45,040 --> 00:27:48,840 Speaker 1: friends agree, half disagree. And I know it's on average 439 00:27:48,920 --> 00:27:51,920 Speaker 1: thirty to forty percent effective because they guess what strain 440 00:27:52,000 --> 00:27:54,200 Speaker 1: it's going to be. So it's kind of it sounds 441 00:27:54,240 --> 00:27:57,200 Speaker 1: a little similar to that, right, Well, it's a good point, 442 00:27:57,960 --> 00:28:02,960 Speaker 1: and in fact, there's even more you're even more accurate 443 00:28:03,240 --> 00:28:08,000 Speaker 1: in talking about flu. That's a super analogy because for 444 00:28:08,040 --> 00:28:12,040 Speaker 1: a number of reasons, many vaccinologists, myself included, think that 445 00:28:12,280 --> 00:28:15,720 Speaker 1: over vaccinating for flu is actually not a good thing. 446 00:28:16,520 --> 00:28:19,240 Speaker 1: One of the things that's kind of a little bit 447 00:28:19,280 --> 00:28:22,480 Speaker 1: worrisome about this, we're just going to go ahead and 448 00:28:22,480 --> 00:28:26,200 Speaker 1: give everybody a jab every six month strategy is there's 449 00:28:26,200 --> 00:28:28,920 Speaker 1: a thing called high zone tolerance and another thing called 450 00:28:29,040 --> 00:28:33,520 Speaker 1: original energenic sin. So those are fancy immunology words, but 451 00:28:33,640 --> 00:28:36,960 Speaker 1: what they equate to is that more is not always 452 00:28:37,040 --> 00:28:42,680 Speaker 1: better with vaccines. More vaccination, more frequent vaccination can in 453 00:28:42,720 --> 00:28:46,520 Speaker 1: some cases, actually make it so that you're less able 454 00:28:46,600 --> 00:28:49,720 Speaker 1: to mount an immune response against a pathogen. I'm running 455 00:28:49,760 --> 00:28:51,880 Speaker 1: out a time, unfortune, and I rarely give a full 456 00:28:51,880 --> 00:28:54,920 Speaker 1: hour of my program to any one person. But I mean, 457 00:28:54,960 --> 00:28:57,880 Speaker 1: considering you're up to your eyeballs and all of this, 458 00:28:57,960 --> 00:29:01,040 Speaker 1: and you know, play the key role discovering the mr 459 00:29:02,080 --> 00:29:07,680 Speaker 1: mRNA technology to build out the the vaccines Maderna and Visa. 460 00:29:08,040 --> 00:29:10,480 Speaker 1: I just think that, you know, I want everybody to 461 00:29:10,520 --> 00:29:14,240 Speaker 1: put this in the category of information. Take it seriously. 462 00:29:14,560 --> 00:29:17,880 Speaker 1: Talk to your doctor. Doctors look at your unique medical history, 463 00:29:17,920 --> 00:29:22,160 Speaker 1: your current condition, talk to your doctor and make the 464 00:29:22,360 --> 00:29:25,760 Speaker 1: make the right decision for you. Um and I just 465 00:29:25,840 --> 00:29:30,360 Speaker 1: want everybody to be informed and smart and safe and uh, 466 00:29:30,400 --> 00:29:33,240 Speaker 1: you know obviously now I and now I understand after 467 00:29:33,280 --> 00:29:36,040 Speaker 1: all of this, why people spend their entire lives studying 468 00:29:36,080 --> 00:29:39,880 Speaker 1: one virus. It's crazy. It's crazy to me, M But 469 00:29:40,040 --> 00:29:42,680 Speaker 1: I appreciate you being on the program. Doctor Well, I 470 00:29:42,680 --> 00:29:45,120 Speaker 1: hope you'll come back again. And uh, we you know, 471 00:29:45,120 --> 00:29:47,240 Speaker 1: you should really take a bow. I mean, you know, 472 00:29:47,360 --> 00:29:50,480 Speaker 1: for the people that you know you pointed out absolutely 473 00:29:50,520 --> 00:29:55,240 Speaker 1: need this vaccine. Sixty five call morbidities, pre existing conditions, 474 00:29:55,240 --> 00:29:58,520 Speaker 1: compromised immune systems. You know, you're very clear on it, 475 00:29:58,560 --> 00:30:01,680 Speaker 1: and I appreciate your forth rightness on it. I'm glad 476 00:30:01,760 --> 00:30:04,480 Speaker 1: to be on your program anytime, my friend. Thank you, 477 00:30:04,640 --> 00:30:06,800 Speaker 1: and it'd be good all right, Thank you, sir, Doctor 478 00:30:06,880 --> 00:30:09,960 Speaker 1: Robert Malone. Fascinating. Let's talk to your doctor. There's a 479 00:30:10,000 --> 00:30:11,920 Speaker 1: lot to learn. I mean, every time I think I 480 00:30:12,120 --> 00:30:15,400 Speaker 1: know something, I am learning more. Quick break right back