1 00:00:00,000 --> 00:00:02,560 Speaker 1: All right, hour two Sean Hannity Show, toll free, our 2 00:00:02,640 --> 00:00:04,880 Speaker 1: numbers eight hundred and nine for one, Shawn, if you 3 00:00:04,960 --> 00:00:07,240 Speaker 1: want to be a part of the program. It's an 4 00:00:07,280 --> 00:00:09,960 Speaker 1: amazing thing, isn't it that we You know, here we 5 00:00:10,000 --> 00:00:13,440 Speaker 1: are a year later last year at this time, heading 6 00:00:13,440 --> 00:00:17,720 Speaker 1: into a presidential election, and now with three hundred percent 7 00:00:17,920 --> 00:00:22,400 Speaker 1: higher in terms of COVID positivity cases. And meanwhile we've 8 00:00:22,440 --> 00:00:25,560 Speaker 1: got three vaccines. We've got now Joe Biden for the 9 00:00:25,600 --> 00:00:27,440 Speaker 1: first time, what last week or a week and a 10 00:00:27,480 --> 00:00:32,000 Speaker 1: half ago, mentions monoclonal antibodies. You know, it's a year ago. 11 00:00:32,080 --> 00:00:36,839 Speaker 1: Donald Trump had used regeneron as part of the therapeutic 12 00:00:37,040 --> 00:00:40,920 Speaker 1: that got him well very quickly. I'm not a doctor. 13 00:00:40,960 --> 00:00:42,560 Speaker 1: I'm not going to play one on radio and TV, 14 00:00:42,600 --> 00:00:44,199 Speaker 1: and I'm not going to give him my whole spiel. 15 00:00:45,000 --> 00:00:48,280 Speaker 1: But I'm fascinated with science. I believe in science. I 16 00:00:48,280 --> 00:00:51,360 Speaker 1: believe in vaccination science. But I'm not your doctor. I 17 00:00:51,400 --> 00:00:56,520 Speaker 1: know nothing about your medical history, your current medical condition, 18 00:00:56,600 --> 00:00:59,319 Speaker 1: and I urge everyone to take it seriously and talk 19 00:00:59,400 --> 00:01:01,960 Speaker 1: to you doctor. He lost nearly seven hundred thousand people. 20 00:01:02,480 --> 00:01:05,039 Speaker 1: I don't want my audience dying. I don't want anybody dying. 21 00:01:05,120 --> 00:01:06,520 Speaker 1: I don't care if you hate me, I don't want 22 00:01:06,560 --> 00:01:09,600 Speaker 1: you dying anyway. And so I was reading the Epic 23 00:01:09,680 --> 00:01:13,200 Speaker 1: Times last week, and sure enough they interviewed a guy. 24 00:01:13,440 --> 00:01:15,119 Speaker 1: I don't know why I had not heard of him before, 25 00:01:15,120 --> 00:01:18,280 Speaker 1: because I'm following this daily. His name is doctor Robert Malone. 26 00:01:18,760 --> 00:01:23,240 Speaker 1: It turns out he is the inventor of the technology 27 00:01:23,280 --> 00:01:28,919 Speaker 1: of mRNA vaccines and RNA as a drug. In other words, 28 00:01:29,240 --> 00:01:33,800 Speaker 1: the technology that led to the FISA Maderna vaccines a 29 00:01:33,840 --> 00:01:36,679 Speaker 1: little different than the Johnson and Johnson vaccine. And I'll 30 00:01:36,720 --> 00:01:40,399 Speaker 1: let him explain the difference because he joins us now, sir, 31 00:01:40,560 --> 00:01:43,119 Speaker 1: welcome to the program. Thank you for being Willis. Thank 32 00:01:43,160 --> 00:01:46,360 Speaker 1: you for the opportunity to speak to you in your audience. 33 00:01:46,520 --> 00:01:48,520 Speaker 1: The first question, doctor, is am I doing the right 34 00:01:48,520 --> 00:01:51,560 Speaker 1: thing by telling people to take it seriously. Take you, 35 00:01:51,840 --> 00:01:55,200 Speaker 1: do your research, learn as much as you can be informed, 36 00:01:56,160 --> 00:01:59,680 Speaker 1: take into account your unique medical history, your current medical condition, 37 00:01:59,760 --> 00:02:03,080 Speaker 1: and please talk to your doctor and then make the 38 00:02:03,200 --> 00:02:07,279 Speaker 1: right decision based on that conversation. Is that the right advice? 39 00:02:07,280 --> 00:02:09,639 Speaker 1: Because I see all these people in Washington that never 40 00:02:09,680 --> 00:02:11,760 Speaker 1: went to medical school, and all these people on TV 41 00:02:11,880 --> 00:02:14,520 Speaker 1: that never went to medical school with one size fits 42 00:02:14,520 --> 00:02:17,320 Speaker 1: all medicine, and I am a problem with that. You're 43 00:02:17,400 --> 00:02:20,400 Speaker 1: dead on, and thank you for saying it. It's precisely 44 00:02:20,480 --> 00:02:22,960 Speaker 1: the thing that I've been trying to say. I'm not 45 00:02:23,200 --> 00:02:26,720 Speaker 1: anti vax. I've been a vaccinologist for thirty years, and 46 00:02:26,800 --> 00:02:29,519 Speaker 1: as you say kindly, I did play a key role 47 00:02:29,520 --> 00:02:33,600 Speaker 1: in inventing the technology platform for these and I've done 48 00:02:33,600 --> 00:02:38,359 Speaker 1: many other things in my career, but I believe firmly 49 00:02:38,639 --> 00:02:44,960 Speaker 1: in ethics and bioethics and in ensuring that we have 50 00:02:45,040 --> 00:02:48,800 Speaker 1: safe and effective products. And it's always been the case 51 00:02:48,919 --> 00:02:54,560 Speaker 1: that vaccines have been stratified for their for deciding whether 52 00:02:54,639 --> 00:02:57,600 Speaker 1: or not to recommend based on age, and this is 53 00:02:57,680 --> 00:03:02,600 Speaker 1: clearly a disease of the elderly neal piece. Um, So you're, 54 00:03:02,760 --> 00:03:05,440 Speaker 1: as far as I'm concerned, You're messaging to your audience 55 00:03:05,560 --> 00:03:09,240 Speaker 1: is pitch perfect. Well. I appreciate it because I'm I 56 00:03:09,280 --> 00:03:11,400 Speaker 1: get the crappy out of me doctor every day, and 57 00:03:11,720 --> 00:03:16,680 Speaker 1: I don't know if you can you know, you know, 58 00:03:17,080 --> 00:03:21,160 Speaker 1: I actually am fascinated with medicine. UM. I did an 59 00:03:21,160 --> 00:03:24,440 Speaker 1: hour special with doctor A doctor's name is doctor Rodriguez 60 00:03:24,440 --> 00:03:26,800 Speaker 1: and m Yu lang Gone and he did the first 61 00:03:26,840 --> 00:03:31,240 Speaker 1: successful face and hand double hand transplant. UM. I have 62 00:03:31,280 --> 00:03:33,400 Speaker 1: two friends of mine that a brain surgeons. I've actually 63 00:03:33,440 --> 00:03:36,480 Speaker 1: been in an operating room watching brain surgery. I'm fascinated 64 00:03:36,480 --> 00:03:39,880 Speaker 1: by it and I'm fascinated by science. Can you explain 65 00:03:39,960 --> 00:03:42,280 Speaker 1: to this audience, because I don't even know the answer 66 00:03:42,520 --> 00:03:46,840 Speaker 1: the difference between mRNA technology that you played a big 67 00:03:46,880 --> 00:03:50,400 Speaker 1: part in discovering versus say, the Johnson and Johnson vaccine, 68 00:03:50,480 --> 00:03:54,480 Speaker 1: which is more historically how they did it. Um, the 69 00:03:54,640 --> 00:03:58,320 Speaker 1: Maderna Fizer vaccines would be this new technology mRNA. Can 70 00:03:58,360 --> 00:04:01,680 Speaker 1: you explain it. You've got something a little bit wrong. 71 00:04:02,480 --> 00:04:04,760 Speaker 1: The J and J vaccine and I've heard this before. 72 00:04:04,800 --> 00:04:09,040 Speaker 1: The J and J vaccine is not a traditional vaccine technology. Okay, 73 00:04:09,440 --> 00:04:14,080 Speaker 1: All three of those are basically gene therapy technologies applied 74 00:04:14,160 --> 00:04:17,800 Speaker 1: to vaccines. The J and J technology has never been 75 00:04:18,440 --> 00:04:21,560 Speaker 1: rolled out at this level, and in fact, it stems 76 00:04:21,640 --> 00:04:24,360 Speaker 1: from the same laboratory at the same time that I 77 00:04:24,440 --> 00:04:27,200 Speaker 1: was in when I had the mr Anda discoveries, that 78 00:04:27,360 --> 00:04:31,200 Speaker 1: being the lab of Indraverma at the Salk Institute Molecular 79 00:04:31,240 --> 00:04:35,800 Speaker 1: Biology and Virology Lab. So I'm very familiar with both platforms, 80 00:04:36,400 --> 00:04:43,000 Speaker 1: but the ad vector tech uses a recombinant cold virus, 81 00:04:43,040 --> 00:04:46,640 Speaker 1: an adnovirus, which is a DNA virus, and it puts 82 00:04:46,920 --> 00:04:50,920 Speaker 1: the A gene from the stars kobe to the spike 83 00:04:50,960 --> 00:04:54,599 Speaker 1: protein gene into that virus and then they grow that 84 00:04:54,880 --> 00:04:59,159 Speaker 1: and that's what's used to infect you and produce this 85 00:04:59,680 --> 00:05:03,839 Speaker 1: star Kobe two spike protein. So in that case, your 86 00:05:03,880 --> 00:05:08,960 Speaker 1: cells are the actual manufacturing factory for the final vaccine product. 87 00:05:09,480 --> 00:05:12,359 Speaker 1: This is very different from a traditional vaccine. If you 88 00:05:12,480 --> 00:05:17,400 Speaker 1: think of say a flu vaccine, that is a purified 89 00:05:18,360 --> 00:05:23,080 Speaker 1: fragment of a vaccine that's manufactured using chicken eggs or 90 00:05:23,240 --> 00:05:27,040 Speaker 1: various other processes and then mixed with something that makes 91 00:05:27,080 --> 00:05:30,359 Speaker 1: it more reactive and then inject it as a purified 92 00:05:30,440 --> 00:05:35,000 Speaker 1: protein preparation into your arm. What these vaccines are more 93 00:05:35,120 --> 00:05:42,360 Speaker 1: like is attenuated vaccine. So that's a polio, smallpox, yellow fever. 94 00:05:42,800 --> 00:05:47,080 Speaker 1: Those are all attenuated, live attenuated vaccines. But in this case, 95 00:05:47,320 --> 00:05:51,960 Speaker 1: both the adnovector J and J and the Maderna or 96 00:05:52,080 --> 00:05:58,320 Speaker 1: fiser that's the mRNA employ methods for putting a foreign 97 00:05:58,360 --> 00:06:02,400 Speaker 1: genetic material into your cell, causing yourself to make the 98 00:06:02,480 --> 00:06:06,840 Speaker 1: foreign protein spike and then that is what generates steaming response. 99 00:06:06,920 --> 00:06:10,839 Speaker 1: Does that make sense? It does? But you know you're 100 00:06:10,880 --> 00:06:16,680 Speaker 1: way more you're way more sophisticated about this. Now. If 101 00:06:16,720 --> 00:06:19,080 Speaker 1: it's not making sense, I'm not doing it well. As 102 00:06:19,160 --> 00:06:23,920 Speaker 1: Richard Feinman said, if you can't make a complex topic understandable, 103 00:06:23,960 --> 00:06:25,880 Speaker 1: then you don't really understand it. No, but I do. 104 00:06:26,000 --> 00:06:29,360 Speaker 1: So let me ask it in these terms, because okay, people, 105 00:06:29,680 --> 00:06:33,000 Speaker 1: you know, we have seen the results and the efficacy. 106 00:06:33,320 --> 00:06:36,400 Speaker 1: You know, early efficacy was in the high nineties for 107 00:06:36,640 --> 00:06:39,400 Speaker 1: both Maderna and Fiser. I think it was seventy four 108 00:06:39,480 --> 00:06:42,360 Speaker 1: or seventy seven percent for the Johnson and Johnson vaccine. 109 00:06:42,680 --> 00:06:45,600 Speaker 1: Now we've have the delta variant, then behind that the 110 00:06:45,640 --> 00:06:49,919 Speaker 1: Peruvian lambda variant, then this new move variant, and there's 111 00:06:49,920 --> 00:06:52,360 Speaker 1: a new variant. I don't know how to actually pronounce it. 112 00:06:52,360 --> 00:06:54,800 Speaker 1: It's our dot one or our point one or whatever 113 00:06:54,839 --> 00:06:58,239 Speaker 1: they're calling it that infected forty five residents. It seems 114 00:06:58,279 --> 00:07:01,680 Speaker 1: that the greatest fear now surrounds this one in a 115 00:07:01,800 --> 00:07:05,960 Speaker 1: Kentucky nursing home where all the patients were fully vaccinated 116 00:07:05,960 --> 00:07:08,920 Speaker 1: and they had every one of them was a breakout case. Yep, 117 00:07:09,880 --> 00:07:15,000 Speaker 1: So what what we're so, well, how how what's your question? How? 118 00:07:15,120 --> 00:07:18,760 Speaker 1: Let me focus on question is we didn't we knew 119 00:07:18,800 --> 00:07:21,880 Speaker 1: there'd be variations. I mean people study viruses their whole life. 120 00:07:21,880 --> 00:07:24,960 Speaker 1: Obviously you have spent devoted a long period of your 121 00:07:25,000 --> 00:07:28,440 Speaker 1: life doing this, where now we didn't expect breakout cases, 122 00:07:28,760 --> 00:07:31,400 Speaker 1: you know, and then people now are talking about boosters 123 00:07:31,400 --> 00:07:34,840 Speaker 1: and people talking about, well, what the efficacy of MADERNA 124 00:07:34,960 --> 00:07:37,400 Speaker 1: visor J and J is over time? And that the 125 00:07:37,520 --> 00:07:42,640 Speaker 1: efficacy lessons? Um, what is natural immunity? How does natural 126 00:07:42,640 --> 00:07:47,040 Speaker 1: immunity impact a decision to get the vaccine? That's that's 127 00:07:47,200 --> 00:07:49,640 Speaker 1: let's stop there. That's a good that's a goodly amount 128 00:07:49,640 --> 00:07:52,520 Speaker 1: of stuff just to talk about, right there. Sure, So, um, 129 00:07:52,640 --> 00:07:57,720 Speaker 1: let's start with efficacy. So there's um. The language you'll 130 00:07:57,760 --> 00:08:01,680 Speaker 1: hear is efficacy and effectiveness. Efficacy is something that's measured 131 00:08:01,720 --> 00:08:06,600 Speaker 1: in a clinical trial, which often will overrepresent how good 132 00:08:06,720 --> 00:08:11,640 Speaker 1: something is because of the controlled nature of doing a 133 00:08:11,640 --> 00:08:15,040 Speaker 1: clinical trial. Effectiveness is how good does it work in 134 00:08:15,080 --> 00:08:17,720 Speaker 1: the field in the real world. Okay, So those are 135 00:08:17,760 --> 00:08:22,840 Speaker 1: two keywords. And the efficacy that you're talking about from 136 00:08:22,880 --> 00:08:27,560 Speaker 1: these relatively modest, very brief, initial clinical trials that they 137 00:08:27,640 --> 00:08:34,240 Speaker 1: rushed was efficacy. You're citing the numbers for death and disease. 138 00:08:34,520 --> 00:08:38,840 Speaker 1: Protection against death and disease, that's different from protection against 139 00:08:38,880 --> 00:08:44,439 Speaker 1: infection or replication or spread. Okay, So it turns out 140 00:08:44,480 --> 00:08:48,120 Speaker 1: that even back in the day when we were dealing 141 00:08:48,160 --> 00:08:50,679 Speaker 1: with the original strains, that are the ones that are 142 00:08:50,720 --> 00:08:54,320 Speaker 1: matched to these vaccines, because now we got different viruses 143 00:08:54,360 --> 00:09:00,360 Speaker 1: basically that aren't matched to these current vaccines. But back 144 00:09:00,400 --> 00:09:03,320 Speaker 1: in the day, what they didn't disclose, you know, it 145 00:09:03,400 --> 00:09:06,439 Speaker 1: wasn't in the press, and you're no stranger to the 146 00:09:07,400 --> 00:09:13,360 Speaker 1: let's say legacy media, just basically regurgitating whatever pablum the 147 00:09:13,400 --> 00:09:16,240 Speaker 1: government gives them and the pharmaceutical companies give them. So 148 00:09:16,280 --> 00:09:19,160 Speaker 1: that's what we had. They just kind of regurgitated it 149 00:09:19,240 --> 00:09:22,920 Speaker 1: to us. They didn't ask questions, But in fact, the 150 00:09:22,960 --> 00:09:28,040 Speaker 1: ability of the vaccines to block infection was not anywhere 151 00:09:28,040 --> 00:09:33,719 Speaker 1: near ninety percent. Now what we have is evolved strains. 152 00:09:33,960 --> 00:09:37,320 Speaker 1: So this is you know, fundamental Darwinian evolution kind of stuff, 153 00:09:37,720 --> 00:09:40,760 Speaker 1: where you have selective pressure imposed by the vaccines and 154 00:09:40,840 --> 00:09:44,240 Speaker 1: no surprise, because you only have a single antigen as 155 00:09:44,280 --> 00:09:47,720 Speaker 1: single protein from the virus that's being produced in the 156 00:09:47,800 --> 00:09:52,480 Speaker 1: vaccinated no surprise that the virus is evolving to escape 157 00:09:52,520 --> 00:09:57,440 Speaker 1: that immune pressure caused by those vaccines. Now there's another 158 00:09:57,480 --> 00:10:01,960 Speaker 1: wrinkle to this in that generally we use vaccines before 159 00:10:02,040 --> 00:10:04,400 Speaker 1: we have a pandemic, right, that's how we need to 160 00:10:04,440 --> 00:10:06,959 Speaker 1: try to get them out. And that's a different situation. 161 00:10:07,559 --> 00:10:12,000 Speaker 1: Vaccinating into an ongoing pandemic when there's a whole lot 162 00:10:12,040 --> 00:10:16,080 Speaker 1: of virus circulating is a whole different kettlefish. And what 163 00:10:16,240 --> 00:10:20,559 Speaker 1: happens then you really do have a setup for development 164 00:10:20,679 --> 00:10:23,080 Speaker 1: of these escape mutes, which is what you're seeing. The 165 00:10:23,240 --> 00:10:26,960 Speaker 1: virus is evolving to escape the vaccines, and it will 166 00:10:27,000 --> 00:10:31,200 Speaker 1: continue to do so, particularly if we have a universal 167 00:10:31,280 --> 00:10:35,840 Speaker 1: vaccination policy. What we've got I like to say, is 168 00:10:35,840 --> 00:10:37,960 Speaker 1: the situation. I don't know if you have kids, sir, 169 00:10:38,120 --> 00:10:44,480 Speaker 1: but I okay, so yeah, minor now I'm married and 170 00:10:44,880 --> 00:10:47,560 Speaker 1: after their lives. But I always like to say, if 171 00:10:47,600 --> 00:10:49,680 Speaker 1: you give a three year old a hammer, everything comes 172 00:10:49,840 --> 00:10:54,440 Speaker 1: nail and they seem to think, yeah, you get it right, right, 173 00:10:55,600 --> 00:10:59,240 Speaker 1: these fundamental things. You know, this is everybody can understand this. 174 00:10:59,360 --> 00:11:02,000 Speaker 1: You know, you give but a cool new tech that's 175 00:11:02,040 --> 00:11:05,079 Speaker 1: really powerful, and they think that they can just drive 176 00:11:05,120 --> 00:11:07,680 Speaker 1: all their problems home with that tech, but it's not 177 00:11:07,760 --> 00:11:11,480 Speaker 1: that simple. And what we're at risk for with this 178 00:11:11,720 --> 00:11:15,360 Speaker 1: universal policy is we're going to continue to generate escape 179 00:11:15,440 --> 00:11:20,000 Speaker 1: mutants and they will converge on escape mutants that this 180 00:11:20,080 --> 00:11:23,280 Speaker 1: is happening. We can see it, and if you follow 181 00:11:23,280 --> 00:11:26,560 Speaker 1: the genetics, it's kind of complex stuff, but it's for 182 00:11:26,640 --> 00:11:30,200 Speaker 1: sure happening. It will drive towards some common set of 183 00:11:30,280 --> 00:11:34,160 Speaker 1: variants that's really good at replicating and escaping the vaccine. 184 00:11:34,520 --> 00:11:37,720 Speaker 1: And then what happens, Oh, the people that really needed 185 00:11:37,720 --> 00:11:42,480 Speaker 1: the vaccine the most, the elderly, the obese, the immunosuppressed, 186 00:11:43,160 --> 00:11:45,800 Speaker 1: they're no longer going to have first line protection. They're 187 00:11:45,800 --> 00:11:47,880 Speaker 1: going to be back where they were before, only with 188 00:11:48,240 --> 00:11:52,840 Speaker 1: viruses that are even more highly replication competent. Because that's 189 00:11:52,880 --> 00:11:56,680 Speaker 1: the other thing that's happened is these new variants replicate 190 00:11:56,720 --> 00:12:00,640 Speaker 1: at much higher levels whether you're vaccinated or not, so 191 00:12:00,840 --> 00:12:04,760 Speaker 1: if you get infected, if you're vaccinated. Here's the paradox 192 00:12:05,160 --> 00:12:08,520 Speaker 1: that is just a lot of people are waking up 193 00:12:08,520 --> 00:12:13,120 Speaker 1: to this. Okay, there's all this talk that it's the 194 00:12:13,200 --> 00:12:17,000 Speaker 1: unvaccinated that are creating risk for the vaccinated. Now that 195 00:12:17,120 --> 00:12:19,760 Speaker 1: just doesn't make sense when you think it through if 196 00:12:19,800 --> 00:12:23,559 Speaker 1: these vaccines are worth the grain as salt another word. 197 00:12:23,600 --> 00:12:25,719 Speaker 1: You're saying, if you got the vaccine, you should be 198 00:12:25,720 --> 00:12:30,200 Speaker 1: protected regardless of what. Do you have a logical right? Yeah? Right? Okay, 199 00:12:30,559 --> 00:12:32,920 Speaker 1: So how how does it make any sense at all 200 00:12:32,920 --> 00:12:35,840 Speaker 1: that the unvaccinated are the ones that are the problem. 201 00:12:36,200 --> 00:12:40,920 Speaker 1: In fact, what's happening is that the vaccinated are when 202 00:12:40,960 --> 00:12:43,840 Speaker 1: they are infected and these we now know what these 203 00:12:43,880 --> 00:12:47,640 Speaker 1: new strains that they're the protection against infection is something 204 00:12:47,720 --> 00:12:51,160 Speaker 1: like forty to sixty percent. Okay, so it's really not 205 00:12:51,200 --> 00:12:55,240 Speaker 1: that great. And if you do get infected, your chance 206 00:12:55,280 --> 00:12:58,720 Speaker 1: of having severe disease is lower. Well, that sounds good, right, 207 00:12:58,800 --> 00:13:01,679 Speaker 1: that's a good thing. That's what the science has showed us, 208 00:13:01,679 --> 00:13:06,080 Speaker 1: You're right, and risk of hospitalization and death as Here's 209 00:13:06,120 --> 00:13:09,920 Speaker 1: the wrinkle in that, okay, is that what that means 210 00:13:10,600 --> 00:13:13,679 Speaker 1: is the folks that are vaccinated are still getting infected. 211 00:13:14,200 --> 00:13:17,600 Speaker 1: They're replicating virus in their bodies at the same or 212 00:13:17,679 --> 00:13:21,079 Speaker 1: higher levels than they were before. They're shedding virus at 213 00:13:21,080 --> 00:13:24,360 Speaker 1: the same or higher levels than they were before. Remember, 214 00:13:24,360 --> 00:13:27,200 Speaker 1: at the beginning the outbreak, when we talked about super spreaders, 215 00:13:27,480 --> 00:13:31,400 Speaker 1: we've created a whole huge bunch of super spreaders. So 216 00:13:31,440 --> 00:13:34,680 Speaker 1: the truth is that's the unvaccinated that are at risk 217 00:13:34,760 --> 00:13:37,360 Speaker 1: from the vaccinated. Does that make sense It doesn't. It 218 00:13:37,400 --> 00:13:40,760 Speaker 1: doesn't because they're also at risk of just getting it also, 219 00:13:40,920 --> 00:13:44,880 Speaker 1: especially the more highly contagious variants. Now, if you're on vaccine, 220 00:13:44,960 --> 00:13:48,079 Speaker 1: yes it's true. But the difference is that now we 221 00:13:48,160 --> 00:13:51,800 Speaker 1: have folks walking around who think they're perfectly healthy, but 222 00:13:52,040 --> 00:13:53,880 Speaker 1: in fact are making a lot of virus. And we 223 00:13:53,920 --> 00:13:55,840 Speaker 1: have a lot of those people doing that. So that's 224 00:13:55,880 --> 00:13:59,079 Speaker 1: the difference. You look at it sideways different from what 225 00:13:59,200 --> 00:14:02,760 Speaker 1: you're being told. You know, it should be that the 226 00:14:03,160 --> 00:14:06,840 Speaker 1: vaccinated are protected, they're not at risk from the unvaccinated. 227 00:14:06,920 --> 00:14:08,600 Speaker 1: That should be the way it is. All Right, we 228 00:14:08,679 --> 00:14:10,439 Speaker 1: gotta take a break. We'll come back. We have more 229 00:14:10,440 --> 00:14:13,880 Speaker 1: with doctor Robert Malone. He played a very key role 230 00:14:13,960 --> 00:14:21,680 Speaker 1: in inventing the technology behind mRNA vaccines, and it's a 231 00:14:21,720 --> 00:14:25,320 Speaker 1: fascinating discussion. I go back to my admonition though, that 232 00:14:25,320 --> 00:14:28,520 Speaker 1: I make every day is please do your own research, 233 00:14:28,600 --> 00:14:30,840 Speaker 1: talk to your own doctor, but please take it seriously. 234 00:14:31,320 --> 00:14:33,840 Speaker 1: I don't want anybody in this audience ever dying. Ever. 235 00:14:34,520 --> 00:14:36,760 Speaker 1: And then we'll talk about therapeutics on the other side, 236 00:14:36,800 --> 00:14:40,120 Speaker 1: regeneron monoclonal antibodies, and we got a lot of questions 237 00:14:40,120 --> 00:14:44,160 Speaker 1: for doctor Malone, it's you know, this is way out 238 00:14:44,160 --> 00:14:47,080 Speaker 1: of my arena. So I'm learning like you are. At 239 00:14:47,120 --> 00:14:49,160 Speaker 1: twenty five till the top of the hour, told free 240 00:14:49,160 --> 00:14:51,160 Speaker 1: it's eight hundred nine four one Sean, if you want 241 00:14:51,160 --> 00:14:54,280 Speaker 1: to be a part of the program, we continue our discussion. 242 00:14:54,440 --> 00:14:57,480 Speaker 1: We're joined by doctor Robert Malone. You've heard of the 243 00:14:57,480 --> 00:15:01,360 Speaker 1: FISA vaccine, the Maderna vaccine. He happens to have played 244 00:15:01,400 --> 00:15:03,520 Speaker 1: one of the key roles, if not the key role, 245 00:15:03,560 --> 00:15:09,400 Speaker 1: in inventing the technology that led to the mRNA vaccines 246 00:15:09,480 --> 00:15:13,800 Speaker 1: like Maderna and Feiser. And we're talking about, you know, 247 00:15:13,840 --> 00:15:18,200 Speaker 1: all things involving COVID again, information and again I urge 248 00:15:18,200 --> 00:15:20,160 Speaker 1: you to talk to your own doctors about what the 249 00:15:20,240 --> 00:15:23,200 Speaker 1: right decision is. Doctor if I might just ask a 250 00:15:23,240 --> 00:15:27,600 Speaker 1: simple question, because obviously this is your technology that they've used. 251 00:15:28,920 --> 00:15:32,480 Speaker 1: You helped invent this, which means you're a pretty smart guy, 252 00:15:32,600 --> 00:15:37,560 Speaker 1: and you're telling us things about these variants. It gets 253 00:15:37,560 --> 00:15:39,760 Speaker 1: a little chilling to me to hear some of what 254 00:15:39,760 --> 00:15:41,440 Speaker 1: you're saying. I don't know why we haven't heard more 255 00:15:41,480 --> 00:15:43,440 Speaker 1: from you up to this point. But my question is this, 256 00:15:44,720 --> 00:15:50,160 Speaker 1: So for people, you support science obviously, and you support 257 00:15:50,200 --> 00:15:55,320 Speaker 1: the vaccination science, and your breakthrough led to these vaccines. 258 00:15:56,560 --> 00:15:59,840 Speaker 1: So I know it's a general question and you can't 259 00:16:00,000 --> 00:16:04,520 Speaker 1: answer specific questions of individuals with unique medical histories and 260 00:16:04,600 --> 00:16:08,360 Speaker 1: you don't know anything about their conditions, But generally, how 261 00:16:08,360 --> 00:16:11,200 Speaker 1: do you feel about the vaccines based on the technology 262 00:16:11,640 --> 00:16:14,240 Speaker 1: you played a pivotal role in discovering. I think they've 263 00:16:14,240 --> 00:16:18,360 Speaker 1: been rushed. I think that's pretty clear. Two key things 264 00:16:18,400 --> 00:16:21,560 Speaker 1: we needed more information about the adverse events the risks 265 00:16:21,560 --> 00:16:26,320 Speaker 1: of the vaccine, and the other was that the database 266 00:16:26,400 --> 00:16:30,040 Speaker 1: structure that the CDC had used to capture these adverse 267 00:16:30,080 --> 00:16:34,440 Speaker 1: events was broken. It wasn't working. I was really controversial 268 00:16:34,520 --> 00:16:37,640 Speaker 1: at the time, but both things have now been proven true. 269 00:16:38,560 --> 00:16:42,920 Speaker 1: So in terms of my point of view, these were rushed, 270 00:16:43,400 --> 00:16:47,120 Speaker 1: and unfortunately we're now dealing with the consequences of things 271 00:16:47,160 --> 00:16:50,760 Speaker 1: that weren't detected when they should have been. But I 272 00:16:51,560 --> 00:16:55,880 Speaker 1: personally my position is that based on the current data, 273 00:16:56,160 --> 00:16:59,760 Speaker 1: and I've written two op eds in the Washington Times 274 00:16:59,760 --> 00:17:03,320 Speaker 1: with Peter Navarro about this, based on the current data, 275 00:17:03,800 --> 00:17:07,240 Speaker 1: it makes sense to vaccinate people sixty five and older, 276 00:17:07,760 --> 00:17:12,040 Speaker 1: morbidly obese, and people with immunity deficiencies. These are the 277 00:17:12,119 --> 00:17:19,199 Speaker 1: specific groups that the FDA Verbeck's Committee and endorsed for 278 00:17:19,400 --> 00:17:22,600 Speaker 1: the third JAB. Okay, and would you add to call 279 00:17:22,720 --> 00:17:27,639 Speaker 1: morbidities pre existing conditions that might be applicable. Yeah, that's 280 00:17:27,680 --> 00:17:31,880 Speaker 1: why I said high risk conditions. Understand Now, what just 281 00:17:31,960 --> 00:17:34,200 Speaker 1: to dive in down that rabbit hole for a moment. 282 00:17:34,560 --> 00:17:39,600 Speaker 1: What the FDA just did was they authorized for the 283 00:17:39,720 --> 00:17:43,560 Speaker 1: third JAB for those specific people, but then also extended 284 00:17:43,600 --> 00:17:47,439 Speaker 1: it to anybody who has frequent contact with the public. 285 00:17:48,240 --> 00:17:50,800 Speaker 1: So that's where the FDA's at. That's not where I'm at. 286 00:17:50,880 --> 00:17:54,440 Speaker 1: I suggesting that the data show that the risk benefit 287 00:17:54,560 --> 00:18:00,480 Speaker 1: ratio for elderly, morbidly obese, immunity deficiency patients and others 288 00:18:00,520 --> 00:18:04,160 Speaker 1: that are very high risk, it's still a good bet 289 00:18:04,200 --> 00:18:08,360 Speaker 1: to take the vaccine for everybody else. In my opinion 290 00:18:08,800 --> 00:18:12,080 Speaker 1: and that of many other colleagues that are out in 291 00:18:12,119 --> 00:18:15,200 Speaker 1: the front lines actually treating patients in their homes now, 292 00:18:15,240 --> 00:18:18,239 Speaker 1: instead of waiting for them to go to hospital, we 293 00:18:18,280 --> 00:18:22,080 Speaker 1: should go ahead and make available the variety of drugs, 294 00:18:22,200 --> 00:18:28,520 Speaker 1: largely anti inflammatories. Not perfect, but that are being used 295 00:18:28,520 --> 00:18:32,119 Speaker 1: by physicians all over the world to keep people out 296 00:18:32,160 --> 00:18:34,200 Speaker 1: of the hospital and keep them from dying and keep 297 00:18:34,240 --> 00:18:37,119 Speaker 1: them from developing. These are the steroids that are often 298 00:18:37,200 --> 00:18:43,280 Speaker 1: prescribed when people test positive. Steroids are one solution, and 299 00:18:43,440 --> 00:18:47,520 Speaker 1: that's part of the arbimentarium, but frankly so is hydroxychloricalin 300 00:18:48,240 --> 00:18:51,879 Speaker 1: and many others. So there's a And by the way, 301 00:18:52,240 --> 00:18:54,359 Speaker 1: this is a simple thing that your audience can do, 302 00:18:54,440 --> 00:18:56,639 Speaker 1: and it's good for all of us. Go to your 303 00:18:56,720 --> 00:19:00,280 Speaker 1: dock and get your vitamin D levels checked and during 304 00:19:00,359 --> 00:19:02,119 Speaker 1: good chance that they're going to be too low, and 305 00:19:02,160 --> 00:19:04,439 Speaker 1: if they are, you ought to take supplements because the 306 00:19:04,520 --> 00:19:09,040 Speaker 1: data are pretty clear that having your vitamin D levels 307 00:19:09,160 --> 00:19:11,600 Speaker 1: up at the right level can go a long way 308 00:19:11,600 --> 00:19:16,120 Speaker 1: to preventing you from getting this disease. Let me go 309 00:19:16,320 --> 00:19:19,000 Speaker 1: and ask this question. So. I have two friends of 310 00:19:19,040 --> 00:19:23,399 Speaker 1: mine that live in Atlanta. They were unvaccinated, one seventy 311 00:19:23,400 --> 00:19:26,960 Speaker 1: four his wife is I think sixty eight, and within 312 00:19:27,000 --> 00:19:30,000 Speaker 1: twenty four hours of their diagnosis, they were at Emory 313 00:19:30,119 --> 00:19:34,720 Speaker 1: University Hospital getting an infusion of regenera on the monoclonal antibodies. 314 00:19:35,840 --> 00:19:38,000 Speaker 1: I have another friend of mine who lives you know, 315 00:19:38,200 --> 00:19:41,760 Speaker 1: ten minutes from my house. And he's fully vaccinated, and 316 00:19:41,880 --> 00:19:44,960 Speaker 1: he got a home test. First, he had the Abbot 317 00:19:44,960 --> 00:19:47,159 Speaker 1: test and it turned out to be accurate, and he 318 00:19:47,240 --> 00:19:50,760 Speaker 1: got it confirmed at a lab. He had a breakthrough case. 319 00:19:50,800 --> 00:19:54,200 Speaker 1: He had been fully vaccinated for quite a while. Within 320 00:19:54,280 --> 00:19:57,720 Speaker 1: twenty four hours he got the monoclonal antibodies regenera on 321 00:19:57,760 --> 00:20:00,639 Speaker 1: infusion and his case and he's you know, it was 322 00:20:00,680 --> 00:20:04,440 Speaker 1: a little overweight and um um. He had the best 323 00:20:04,440 --> 00:20:06,520 Speaker 1: ten days of his life. He sent his family down 324 00:20:06,520 --> 00:20:10,160 Speaker 1: to Florida so they wouldn't contract contract the virus from him, 325 00:20:10,560 --> 00:20:12,680 Speaker 1: and he went fishing every day and was sending me, 326 00:20:13,200 --> 00:20:15,760 Speaker 1: you know, pictures of forty pounds stripe past that he 327 00:20:15,840 --> 00:20:19,399 Speaker 1: was catching. Uh. Enjoying his free is what he called 328 00:20:19,520 --> 00:20:25,400 Speaker 1: his COVID vacation because he felt great after getting the infusion. Um. Yeah. 329 00:20:25,960 --> 00:20:29,359 Speaker 1: And then there's Rogan. Right. Then there's poor Joe Rogan. 330 00:20:29,440 --> 00:20:31,200 Speaker 1: And by the way, why am I like the only 331 00:20:31,200 --> 00:20:34,119 Speaker 1: one saying thank god he's okay. I don't care what 332 00:20:34,160 --> 00:20:36,440 Speaker 1: your politics are, doctor, I mean this with all my heart. 333 00:20:36,560 --> 00:20:39,480 Speaker 1: I don't want anybody dying from this thing. I really 334 00:20:39,480 --> 00:20:43,399 Speaker 1: don't know is a hero all over the world. I 335 00:20:43,480 --> 00:20:47,639 Speaker 1: just spent two weeks in Europe m touring relating to 336 00:20:47,800 --> 00:20:52,920 Speaker 1: COVID and and people people thought Joe Rogan um everywhere, 337 00:20:53,400 --> 00:20:59,080 Speaker 1: He's got amazing reach. But if your point is um uh, 338 00:20:59,119 --> 00:21:01,600 Speaker 1: And I'm going to mention in the name Ron de Santis, 339 00:21:02,880 --> 00:21:08,240 Speaker 1: who went out hard in favor of these antibody cocktails 340 00:21:09,040 --> 00:21:12,000 Speaker 1: and has specifically called out that this was what they 341 00:21:12,080 --> 00:21:18,800 Speaker 1: used with the potus, And he has really quenched the 342 00:21:19,480 --> 00:21:22,280 Speaker 1: outbreak to a large extent in terms of death and 343 00:21:22,359 --> 00:21:26,600 Speaker 1: disease in Florida because he has aggressively made available these 344 00:21:26,640 --> 00:21:30,879 Speaker 1: antibody cocktails. Well, now, from what I've been able to 345 00:21:30,920 --> 00:21:33,240 Speaker 1: gather from my sources, and we don't have a shortage 346 00:21:33,280 --> 00:21:37,480 Speaker 1: of monoclonal antibodies. Not quite the contrary. I mean, we're 347 00:21:37,520 --> 00:21:41,840 Speaker 1: sharing it with countries all around the world. I agree. 348 00:21:41,920 --> 00:21:45,399 Speaker 1: And yet and yet, paradoxically, now the federal government is 349 00:21:45,480 --> 00:21:50,080 Speaker 1: going to restrict availability of these monoclonals in Florida. Now 350 00:21:50,280 --> 00:21:52,760 Speaker 1: wrap your head around that. Well, let me ask this 351 00:21:52,840 --> 00:21:56,800 Speaker 1: question then, whether you're unvaccinated or vaccinated like my friends 352 00:21:57,040 --> 00:21:59,560 Speaker 1: and Georgia were not vaccinated. My friend in New York 353 00:21:59,600 --> 00:22:03,080 Speaker 1: was vaccinated. And they come down with COVID. The next 354 00:22:03,160 --> 00:22:07,440 Speaker 1: question is what is the next course of action I personally, 355 00:22:07,840 --> 00:22:11,280 Speaker 1: and I've interviewed doctors graduating from Harvard and Yale, and 356 00:22:11,400 --> 00:22:14,719 Speaker 1: we've had, you know, people on the front lines, unlike 357 00:22:14,800 --> 00:22:17,399 Speaker 1: doctor Fauci, I'm not particularly fond of at this point. 358 00:22:18,160 --> 00:22:22,120 Speaker 1: And you know, remember doctor Fauci doesn't treat patients. It's 359 00:22:22,160 --> 00:22:24,760 Speaker 1: kind of important to know doctor Fauchi. That is an 360 00:22:24,800 --> 00:22:27,639 Speaker 1: interesting little point. And those emails were pretty revealing, and 361 00:22:27,680 --> 00:22:30,960 Speaker 1: the intercept pages were more revealing. But that's a different 362 00:22:30,960 --> 00:22:33,360 Speaker 1: story for a different day. But I want to give 363 00:22:33,400 --> 00:22:35,800 Speaker 1: good information to my audience. Wait until the first thing 364 00:22:35,920 --> 00:22:41,760 Speaker 1: book comes out. I'm sorry, wait until JFK. Junior's book 365 00:22:41,800 --> 00:22:44,560 Speaker 1: comes out about mister Fauci, you will open your eyes 366 00:22:45,600 --> 00:22:49,600 Speaker 1: really Okay, So my question to you is, now, I'm 367 00:22:49,640 --> 00:22:51,880 Speaker 1: not a doctor. I'm not going to play one on radio. 368 00:22:51,920 --> 00:22:54,200 Speaker 1: So I'm asking you. You know, you played the big 369 00:22:54,320 --> 00:22:57,440 Speaker 1: role in inventing the technology for these vaccines, which is 370 00:22:57,440 --> 00:23:02,159 Speaker 1: pretty fascinating to me. You're obviously a brilliant man. And 371 00:23:02,320 --> 00:23:04,440 Speaker 1: my question is, so you have a breakthrough case or 372 00:23:04,480 --> 00:23:09,440 Speaker 1: you're unvaccinated, you contract COVID, and and what's what's the 373 00:23:09,480 --> 00:23:13,560 Speaker 1: next bit of advice you'd give people. My advice would be, 374 00:23:14,160 --> 00:23:18,400 Speaker 1: immediately go talk to your doctor about monoclonal antibodies. That's 375 00:23:18,400 --> 00:23:21,080 Speaker 1: what my first bit of information would be asked. I 376 00:23:21,080 --> 00:23:26,160 Speaker 1: think that's I think that's great advice. There's also many 377 00:23:26,200 --> 00:23:31,440 Speaker 1: other complementary drugs and the agents that you can take. 378 00:23:32,080 --> 00:23:38,560 Speaker 1: But you, you know, given that you're responsible broadcaster and journalist, 379 00:23:39,720 --> 00:23:44,159 Speaker 1: I think that's a superposition to take. Nobody in in 380 00:23:44,600 --> 00:23:49,160 Speaker 1: the FDA or in the fact checker community can hit 381 00:23:49,200 --> 00:23:52,080 Speaker 1: you on that one quick break more with doctor Robert Malone. 382 00:23:52,200 --> 00:23:55,399 Speaker 1: He played an instrumental role in the invention of the 383 00:23:55,640 --> 00:24:14,880 Speaker 1: mRNA technology that led to the vaccines of Faiza Maderna. 384 00:24:15,680 --> 00:24:19,359 Speaker 1: All Right, we continue. Doctor Robert Malone played an integral part, 385 00:24:19,440 --> 00:24:22,640 Speaker 1: a key role in the invention of the mr NA 386 00:24:22,920 --> 00:24:27,240 Speaker 1: technology that led to the Madonna Faiza vaccines. Now, let 387 00:24:27,320 --> 00:24:29,760 Speaker 1: me ask you about these new variants here. And there's 388 00:24:29,800 --> 00:24:32,320 Speaker 1: one in particular in Kentucky. I'm not sure how the 389 00:24:32,400 --> 00:24:35,480 Speaker 1: pronouncing is R dot one or R one um. It 390 00:24:35,600 --> 00:24:39,119 Speaker 1: infected forty five residents and employees. And there's one particular 391 00:24:39,160 --> 00:24:43,000 Speaker 1: facility in Kentucky. There's a there's a great there's a 392 00:24:43,040 --> 00:24:46,280 Speaker 1: great article in Forbes on that written by Bill Hazeltine. 393 00:24:46,480 --> 00:24:50,080 Speaker 1: It's really comprehensive. Um. So that's a good one to 394 00:24:50,119 --> 00:24:52,960 Speaker 1: look at. UM. And then there is a CDC report 395 00:24:53,480 --> 00:24:56,680 Speaker 1: from about two months ago that's easy to find by 396 00:24:56,720 --> 00:25:02,560 Speaker 1: just searching the CDC MMWR journal. UM. And uh, well, 397 00:25:02,600 --> 00:25:05,760 Speaker 1: let me quote the Forbes article for you scientists by 398 00:25:05,800 --> 00:25:08,000 Speaker 1: the name of William Hazelton. And maybe you know, maybe 399 00:25:08,000 --> 00:25:16,240 Speaker 1: you don't art sciences at a Harvard big shot. Okay, 400 00:25:16,359 --> 00:25:19,879 Speaker 1: R one is a variant. Is the variant to watch. 401 00:25:19,920 --> 00:25:23,040 Speaker 1: He said, it's established a foothold in both Japan and 402 00:25:23,119 --> 00:25:27,080 Speaker 1: the US, and he added it features several unique mutations 403 00:25:27,119 --> 00:25:31,760 Speaker 1: that could give it advantages in transmission, replication, and immune suppression, 404 00:25:32,240 --> 00:25:36,240 Speaker 1: and one mutation named E four eighty four K and 405 00:25:36,320 --> 00:25:38,400 Speaker 1: I have no idea what I'm saying here. Just stay 406 00:25:38,440 --> 00:25:41,800 Speaker 1: with me, doctor, located in the spike protein of the virus, 407 00:25:41,880 --> 00:25:47,120 Speaker 1: gives it quote an increased resistance to antibodies generated by 408 00:25:47,160 --> 00:25:51,520 Speaker 1: the vaccine. And our one shares an additional mutation D 409 00:25:51,920 --> 00:25:55,720 Speaker 1: six one four G with all other variants that that 410 00:25:55,800 --> 00:26:00,640 Speaker 1: have overtaken the original alpha strain, which increases infectiousness. So 411 00:26:00,680 --> 00:26:02,879 Speaker 1: I'm giving you a lot of information. It has it 412 00:26:02,920 --> 00:26:07,280 Speaker 1: has another it has another mutation that increases its replication 413 00:26:07,359 --> 00:26:09,520 Speaker 1: in humans. I didn't want to show off. I would 414 00:26:09,560 --> 00:26:12,320 Speaker 1: have brought that up to you're you're you are on it, 415 00:26:12,560 --> 00:26:15,439 Speaker 1: my friend. So what does it mean though, because I 416 00:26:15,440 --> 00:26:21,280 Speaker 1: really don't understand it? So, um, this the current vaccine products, 417 00:26:21,280 --> 00:26:24,200 Speaker 1: and there's new ones coming that are second generation products, 418 00:26:24,880 --> 00:26:28,680 Speaker 1: but the current vaccine products all rely on the spike protein. 419 00:26:29,320 --> 00:26:32,159 Speaker 1: And the spike protein was the focus because it was 420 00:26:32,280 --> 00:26:37,120 Speaker 1: known that um UH, that protein would provide pretty good 421 00:26:37,160 --> 00:26:40,480 Speaker 1: protection and so it was a safe bet. And the 422 00:26:40,520 --> 00:26:45,280 Speaker 1: problem with that is that the antibodies that for the 423 00:26:45,760 --> 00:26:49,960 Speaker 1: B cell antibody based immunity UM in order for them 424 00:26:50,000 --> 00:26:55,240 Speaker 1: to be effective, there's a limited number of targets places 425 00:26:55,280 --> 00:26:58,720 Speaker 1: that they combine to on the spike protein to block 426 00:26:58,800 --> 00:27:01,720 Speaker 1: the ability of the virus to infect other cells and 427 00:27:01,800 --> 00:27:07,480 Speaker 1: neutralize the virus. And the thing is that those it's 428 00:27:07,560 --> 00:27:10,120 Speaker 1: kind it's really turned out to be complex. There's been 429 00:27:10,160 --> 00:27:14,040 Speaker 1: some fascinating silence done in the Joya Institute of Allergy 430 00:27:14,040 --> 00:27:18,680 Speaker 1: and Immunology by a large international team mapping all these 431 00:27:18,720 --> 00:27:22,520 Speaker 1: different domains and basically what BILL is pointing out is 432 00:27:22,560 --> 00:27:25,840 Speaker 1: that one of those domains is being mutated so that 433 00:27:26,080 --> 00:27:30,240 Speaker 1: the antibodies which normally would be able to bind there 434 00:27:30,640 --> 00:27:33,920 Speaker 1: aren't binding or aren't binding as efficiently the ones evoked 435 00:27:33,960 --> 00:27:36,840 Speaker 1: by the vaccine, because remember the vaccine is against the 436 00:27:36,880 --> 00:27:40,320 Speaker 1: original alpha strain, so it's no longer matched. This is 437 00:27:40,359 --> 00:27:42,920 Speaker 1: one of the big problems. The truth is that we're 438 00:27:43,000 --> 00:27:47,520 Speaker 1: vaccinating for yesterday's virus, okay, and so we're generating friends 439 00:27:47,560 --> 00:27:49,399 Speaker 1: of mine yell at me for getting a flu shot 440 00:27:49,400 --> 00:27:52,280 Speaker 1: every year, and half of my friends agree, half disagree, 441 00:27:52,520 --> 00:27:55,760 Speaker 1: and I know it's on average thirty to forty percent 442 00:27:55,760 --> 00:27:58,359 Speaker 1: effective because they guess what strain it's going to be. 443 00:27:58,760 --> 00:28:02,040 Speaker 1: So it's kind of it sounds a little similar to that, right. Well, 444 00:28:02,080 --> 00:28:05,920 Speaker 1: it's a good point, and in fact, there's even more 445 00:28:07,200 --> 00:28:11,000 Speaker 1: you're even more accurate in talking about flu. That's a 446 00:28:11,240 --> 00:28:15,919 Speaker 1: super analogy because for a number of reasons, many vaccinologists, 447 00:28:15,960 --> 00:28:20,560 Speaker 1: myself included, think that over vaccinating for flu is actually 448 00:28:20,600 --> 00:28:23,480 Speaker 1: not a good thing. One of the things that's kind 449 00:28:23,520 --> 00:28:27,520 Speaker 1: of a little bit worrisome about this, we're just going 450 00:28:27,600 --> 00:28:29,920 Speaker 1: to go ahead and give everybody a jab every six 451 00:28:30,000 --> 00:28:33,600 Speaker 1: month strategy is there's a thing called high zone tolerance 452 00:28:33,640 --> 00:28:37,080 Speaker 1: and another thing called original energenic sin. So those are 453 00:28:37,119 --> 00:28:41,320 Speaker 1: fancy immunology words, but what they equate to is that 454 00:28:41,800 --> 00:28:46,360 Speaker 1: more is not always better with vaccines. More vaccination, more 455 00:28:46,400 --> 00:28:50,400 Speaker 1: frequent vaccination can in some cases, actually make it so 456 00:28:50,480 --> 00:28:53,920 Speaker 1: that you're less able to mount an immune response against 457 00:28:53,960 --> 00:28:56,760 Speaker 1: the hythogen. I'm running out of time, unfortune, and I 458 00:28:56,880 --> 00:29:00,000 Speaker 1: rarely give a full hour of my program to anyone person. 459 00:29:00,200 --> 00:29:03,000 Speaker 1: But I mean, considering you're up to your eyeballs and 460 00:29:03,120 --> 00:29:05,600 Speaker 1: all of this, and you know, play the key role 461 00:29:05,680 --> 00:29:11,280 Speaker 1: in discovering the mr mRNA technology to build out the 462 00:29:11,280 --> 00:29:15,200 Speaker 1: the vaccines Maderna and Visa. I just think that, you know, 463 00:29:15,360 --> 00:29:18,560 Speaker 1: I want everybody to put this in the category of information. 464 00:29:19,040 --> 00:29:22,320 Speaker 1: Take it seriously. Talk to your doctor. Doctors look at 465 00:29:22,360 --> 00:29:25,640 Speaker 1: your unique medical history, your current condition, talk to your 466 00:29:25,760 --> 00:29:30,680 Speaker 1: doctor and make the make the right decision for you. Um, 467 00:29:30,720 --> 00:29:33,760 Speaker 1: and I just want everybody to be informed and smart 468 00:29:33,880 --> 00:29:37,760 Speaker 1: and safe and uh, you know obviously and now and 469 00:29:37,800 --> 00:29:40,240 Speaker 1: now I understand after all of this, why people spend 470 00:29:40,240 --> 00:29:44,280 Speaker 1: their entire lives studying one virus. It's crazy. It's crazy 471 00:29:44,360 --> 00:29:48,239 Speaker 1: to me, M But I appreciate you being on the program. Doctor, well, 472 00:29:48,320 --> 00:29:50,840 Speaker 1: I hope you'll come back again, and uh we you know, 473 00:29:50,880 --> 00:29:53,000 Speaker 1: you should really take a bow. I mean, you know, 474 00:29:53,080 --> 00:29:56,240 Speaker 1: for the people that you know you pointed out absolutely 475 00:29:56,280 --> 00:30:00,960 Speaker 1: need this vaccine. Sixty five CO morbidity is pretty existing conditions, 476 00:30:01,000 --> 00:30:04,240 Speaker 1: compromised immune systems. You know, you're very clear on it, 477 00:30:04,320 --> 00:30:07,560 Speaker 1: and I appreciate your forthrightness on it. I'm glad to 478 00:30:07,600 --> 00:30:10,680 Speaker 1: be on your program anytime, my friend. Thank you and 479 00:30:10,840 --> 00:30:14,280 Speaker 1: be good. All right, thank you, sir, Doctor Robert Malone. Fascinating. 480 00:30:14,360 --> 00:30:16,360 Speaker 1: Let's talk to you. Doctor. There's a lot to learn, 481 00:30:16,680 --> 00:30:19,080 Speaker 1: and every time I think I know something, I am 482 00:30:19,200 --> 00:30:21,160 Speaker 1: learning more. Quick break right back