1 00:00:00,400 --> 00:00:03,560 Speaker 1: The Michael Barry Show. The story comes to us from 2 00:00:03,600 --> 00:00:09,879 Speaker 1: praguer you. Prager you like Hillsdale College does amazing, amazing work, 3 00:00:10,720 --> 00:00:19,360 Speaker 1: and preger You is worthy of your time, your interest, 4 00:00:19,600 --> 00:00:23,200 Speaker 1: your attention, and your funds. They're not a show sponsor 5 00:00:23,239 --> 00:00:25,520 Speaker 1: of our show, but we do listen to their stuff 6 00:00:25,520 --> 00:00:27,600 Speaker 1: and we're big fans of it. And this week we 7 00:00:27,680 --> 00:00:31,000 Speaker 1: seek to amplify a great story that was told there 8 00:00:31,560 --> 00:00:35,840 Speaker 1: and encourage you to support them. Preger U's CEO, Marissa Street, 9 00:00:35,880 --> 00:00:38,280 Speaker 1: I don't know if it's Streeter Strike talks with doctor 10 00:00:38,280 --> 00:00:41,280 Speaker 1: Scott Atlas, former member of the White House COVID nineteen 11 00:00:41,640 --> 00:00:45,960 Speaker 1: task force. He reveals how shocked he was to see 12 00:00:45,960 --> 00:00:52,279 Speaker 1: how powerful Washington figures, including doctor Fauci, were incentivized to 13 00:00:52,320 --> 00:00:57,480 Speaker 1: politicize and monetize the response to the pandemic. It wasn't 14 00:00:57,480 --> 00:01:01,320 Speaker 1: about your health. Doctor Atlas reveals what, of course everyone 15 00:01:01,600 --> 00:01:05,480 Speaker 1: now knows. Many people died because of censorship, dishonesty, and 16 00:01:05,520 --> 00:01:08,080 Speaker 1: the demonization of medical dissent. 17 00:01:08,319 --> 00:01:10,840 Speaker 2: Doctor Scott atlis, thank you so much for coming in 18 00:01:10,880 --> 00:01:16,160 Speaker 2: here today. Before we get started, I'm anticipating that the 19 00:01:16,319 --> 00:01:19,200 Speaker 2: entire Internet is going to pile on us. By the time, 20 00:01:19,240 --> 00:01:22,319 Speaker 2: we're done with this interview because too much truth is 21 00:01:22,360 --> 00:01:25,840 Speaker 2: going to be said here, So to prevent that, can 22 00:01:25,880 --> 00:01:30,880 Speaker 2: you please share with us your credentials, your backgrounds, your accomplishments, 23 00:01:30,920 --> 00:01:32,880 Speaker 2: all of these things that you have done that have 24 00:01:33,160 --> 00:01:36,039 Speaker 2: really led you to be able to speak bravely and 25 00:01:36,160 --> 00:01:40,360 Speaker 2: accurately about what we're seeing right now in the medical 26 00:01:40,360 --> 00:01:41,280 Speaker 2: world in America. 27 00:01:41,360 --> 00:01:45,679 Speaker 3: Okay, I'm an MD. I went to University of Chicago 28 00:01:46,680 --> 00:01:51,960 Speaker 3: for medical school. I for the past decade have been 29 00:01:52,880 --> 00:01:56,640 Speaker 3: full time healthcare policy. In fact, I've worked on healthcare 30 00:01:56,720 --> 00:02:02,040 Speaker 3: policy for about twenty years, overlapped with a twenty five 31 00:02:02,160 --> 00:02:09,000 Speaker 3: year career as a clinical doctor and academic medical scientist 32 00:02:09,560 --> 00:02:13,040 Speaker 3: and a professor at some of the best medical centers 33 00:02:13,040 --> 00:02:17,040 Speaker 3: in the country. I've published over one hundred peer reviewed papers. 34 00:02:18,280 --> 00:02:23,160 Speaker 3: I had received over thirty NIHN other grants. I've been 35 00:02:23,200 --> 00:02:27,600 Speaker 3: a visiting professor at probably every top medical school in 36 00:02:27,639 --> 00:02:32,640 Speaker 3: the country. I've given hundreds of invited lectures pre COVID, 37 00:02:33,840 --> 00:02:37,320 Speaker 3: and I was a professor and chief of a division 38 00:02:37,600 --> 00:02:41,120 Speaker 3: of a department at Stanford University Medical School before I 39 00:02:41,200 --> 00:02:45,760 Speaker 3: took the full time position in healthcare policy at Hoover Institution, 40 00:02:46,160 --> 00:02:48,960 Speaker 3: which is a public policy institute at Stanford University. 41 00:02:49,639 --> 00:02:52,480 Speaker 2: So some of this background led you to become an 42 00:02:52,560 --> 00:02:55,720 Speaker 2: advisor on the COVID Response Committee for the White House. 43 00:02:56,840 --> 00:02:57,080 Speaker 4: Right. 44 00:02:57,160 --> 00:03:01,760 Speaker 3: I was called up in July of twenty twenty by 45 00:03:01,840 --> 00:03:05,560 Speaker 3: the Personnel Office in the White House and they asked 46 00:03:05,600 --> 00:03:09,560 Speaker 3: if I would be interested in at least speaking to 47 00:03:09,639 --> 00:03:14,280 Speaker 3: the President. So, of course, I'm an American. It's my 48 00:03:14,440 --> 00:03:17,480 Speaker 3: field health care policy. The policies that were being done 49 00:03:17,560 --> 00:03:21,840 Speaker 3: were completely wrong. It was obvious from the earliest days 50 00:03:21,960 --> 00:03:25,960 Speaker 3: to anyone who knew anything about infectious disease and clinical 51 00:03:26,200 --> 00:03:30,160 Speaker 3: or really medical science at all, that these were very harmful. 52 00:03:30,200 --> 00:03:33,880 Speaker 3: It was contrary to known pandemic management. So in July 53 00:03:33,960 --> 00:03:37,800 Speaker 3: of twenty twenty, I of course said yes, and I 54 00:03:37,960 --> 00:03:42,040 Speaker 3: went to Washington and talked to everybody who people have 55 00:03:42,760 --> 00:03:46,360 Speaker 3: heard of, you know, the Vice President, the President, Mark Meadows, 56 00:03:46,440 --> 00:03:51,600 Speaker 3: Jared Kushner, many other people about what was happening in 57 00:03:51,640 --> 00:03:52,320 Speaker 3: the pandemic. 58 00:03:52,800 --> 00:03:56,520 Speaker 2: I bet you remember those moments pretty vividly, given how 59 00:03:56,560 --> 00:04:00,200 Speaker 2: significant it was. What was it like working there? Who 60 00:04:00,240 --> 00:04:03,680 Speaker 2: were you interacting with? Were you interacting with doctor Fauci, 61 00:04:03,880 --> 00:04:07,200 Speaker 2: doctor Burks, Did you have meetings, did you converse about 62 00:04:07,280 --> 00:04:10,440 Speaker 2: the data that you were finding and the policies that 63 00:04:10,520 --> 00:04:11,920 Speaker 2: were set for the country. 64 00:04:12,680 --> 00:04:15,840 Speaker 3: Well, the first the day that I got there, which 65 00:04:15,880 --> 00:04:18,160 Speaker 3: was in mid July, I went through and I was 66 00:04:18,200 --> 00:04:20,480 Speaker 3: asked a bunch of questions by all these various people. 67 00:04:20,480 --> 00:04:22,560 Speaker 3: At the end of the day, Jared Kushner turned to 68 00:04:22,600 --> 00:04:25,400 Speaker 3: me and said, well, we'd like you to advise the president. 69 00:04:25,720 --> 00:04:30,720 Speaker 3: Would you be willing to do that? And I said, well, 70 00:04:31,000 --> 00:04:34,080 Speaker 3: of course I would. People are dying. But this is 71 00:04:34,080 --> 00:04:36,520 Speaker 3: what you're going to get. And I said, you're going 72 00:04:36,560 --> 00:04:40,920 Speaker 3: to get somebody who I'm not going to agree with 73 00:04:40,960 --> 00:04:43,320 Speaker 3: something that's wrong. I don't care who tells me to, 74 00:04:43,600 --> 00:04:45,640 Speaker 3: even the President. I'm not going to agree with a 75 00:04:45,680 --> 00:04:48,680 Speaker 3: group statement if I don't believe in it. I'm not 76 00:04:48,680 --> 00:04:51,520 Speaker 3: going to sign on to what someone else said because 77 00:04:51,560 --> 00:04:55,320 Speaker 3: they said it. And Jared turned to me and said, well, 78 00:04:55,320 --> 00:04:58,279 Speaker 3: that's exactly what we want you and so I was 79 00:04:58,279 --> 00:05:01,320 Speaker 3: happy to hear that done. The next sentence he said 80 00:05:01,400 --> 00:05:03,680 Speaker 3: was but I'm very concerned if it becomes once it 81 00:05:03,720 --> 00:05:08,000 Speaker 3: becomes public, they're going to destroy you. So you know, 82 00:05:08,160 --> 00:05:11,239 Speaker 3: I'm not a political person. I was very naive about 83 00:05:11,240 --> 00:05:15,599 Speaker 3: the way Washington worked, and I said well, that doesn't 84 00:05:15,600 --> 00:05:18,279 Speaker 3: sound so good to me. I was sort of shocked 85 00:05:18,320 --> 00:05:20,599 Speaker 3: to even care that they were going to destroy me. 86 00:05:20,640 --> 00:05:23,360 Speaker 3: So I was relieved, but I was very worried, and 87 00:05:23,400 --> 00:05:26,279 Speaker 3: so I said, let me try this from California, and 88 00:05:26,360 --> 00:05:29,320 Speaker 3: so I flew back home to Stanford, and over the 89 00:05:29,360 --> 00:05:31,680 Speaker 3: next few days it just was obviously it wasn't going 90 00:05:31,720 --> 00:05:34,320 Speaker 3: to work. It was ad hoc things were being made, 91 00:05:34,680 --> 00:05:36,880 Speaker 3: decisions were being made, statements were being made that were 92 00:05:36,920 --> 00:05:40,400 Speaker 3: completely wrong, and the President in the United States was 93 00:05:40,440 --> 00:05:46,039 Speaker 3: being fed completely wrong information from Fauci and Burks, who 94 00:05:46,040 --> 00:05:49,440 Speaker 3: were at that point having They were running the White 95 00:05:49,440 --> 00:05:52,839 Speaker 3: House Coronavirus Task Force for six months before I walked in. 96 00:05:53,400 --> 00:05:54,320 Speaker 4: So I decided to. 97 00:05:54,279 --> 00:05:57,040 Speaker 3: Go back at the end of July, and July thirty first, 98 00:05:57,440 --> 00:06:00,480 Speaker 3: I showed up as an advisor to the President. I'm 99 00:06:00,480 --> 00:06:06,320 Speaker 3: getting around answering your question and so fascinating. Actually, I 100 00:06:06,360 --> 00:06:10,720 Speaker 3: got there and I thought I would be the advisor 101 00:06:10,760 --> 00:06:15,080 Speaker 3: to the president, behind the scenes, non public. I wasn't 102 00:06:15,120 --> 00:06:18,120 Speaker 3: interested in being a public figure at all. And I 103 00:06:18,240 --> 00:06:20,159 Speaker 3: was told, well, no, we want you to sit in 104 00:06:20,200 --> 00:06:22,480 Speaker 3: on the task force too and be part of that. 105 00:06:23,120 --> 00:06:25,080 Speaker 3: And I said, well, but that doesn't make sense to 106 00:06:25,080 --> 00:06:27,400 Speaker 3: me that they're not going to they we know what 107 00:06:27,440 --> 00:06:32,000 Speaker 3: they're doing. They're doing lockdowns, school closures, they're destroying people. 108 00:06:32,400 --> 00:06:34,720 Speaker 3: They're not going to take an advice of someone from 109 00:06:34,760 --> 00:06:38,240 Speaker 3: the outside. And they said, well, no, we want you 110 00:06:38,320 --> 00:06:39,960 Speaker 3: to try to convince them. 111 00:06:40,000 --> 00:06:42,440 Speaker 4: You know the data. So I said, okay. 112 00:06:42,440 --> 00:06:45,200 Speaker 3: So I was part of the task force also, and 113 00:06:45,240 --> 00:06:50,000 Speaker 3: then therefore the task force I could talk about how 114 00:06:50,640 --> 00:06:54,160 Speaker 3: that worked. There were task force meetings. My first one 115 00:06:54,440 --> 00:06:58,119 Speaker 3: really that I sat in on was mid August, second 116 00:06:58,160 --> 00:07:01,560 Speaker 3: week of August twenty twenty, and it was a table 117 00:07:01,760 --> 00:07:04,919 Speaker 3: of about eight people. Vice President Pence was the actual 118 00:07:05,000 --> 00:07:08,760 Speaker 3: head of the task force, but at the table were 119 00:07:09,680 --> 00:07:12,480 Speaker 3: doctor Fauci, who was not head of anything, but he 120 00:07:12,680 --> 00:07:15,360 Speaker 3: was there as the head of the infectious disease part 121 00:07:15,360 --> 00:07:19,280 Speaker 3: of the NIH Deborah Burkes, who was the head of 122 00:07:19,320 --> 00:07:22,480 Speaker 3: the White House Coronavirus medical side of the task force. 123 00:07:22,720 --> 00:07:24,760 Speaker 3: She was the official head. She was the White House 124 00:07:24,760 --> 00:07:29,640 Speaker 3: Coronavirus Task Force Coordinator. Redfield, Robert Redfield, was the head 125 00:07:29,680 --> 00:07:31,320 Speaker 3: of the CDC. He was at the table, and then 126 00:07:31,320 --> 00:07:34,360 Speaker 3: there were various other people at the table, and then 127 00:07:34,360 --> 00:07:37,920 Speaker 3: in the room around the table the perofy were another 128 00:07:38,040 --> 00:07:40,520 Speaker 3: dozen or so people. Then there was a spillover room 129 00:07:42,000 --> 00:07:44,880 Speaker 3: filled with people. Then there were people on video and telephones, 130 00:07:44,920 --> 00:07:47,200 Speaker 3: so there were a lot of people, but there was 131 00:07:47,240 --> 00:07:50,960 Speaker 3: this set of about eight people at the table, and 132 00:07:51,040 --> 00:07:54,400 Speaker 3: those meetings were irregularly held, but I was at those meetings, 133 00:07:54,640 --> 00:07:59,480 Speaker 3: and at those meetings. In the first meeting, I remember 134 00:08:00,080 --> 00:08:04,440 Speaker 3: there was some statements made. They were completely wrong about 135 00:08:04,440 --> 00:08:09,640 Speaker 3: the risk of children, and Vice President Penn said, well, 136 00:08:09,720 --> 00:08:11,840 Speaker 3: we all agree with this, right, because I hadn't said 137 00:08:11,840 --> 00:08:15,080 Speaker 3: anything at that point, and I was the newcomer, the outsider, 138 00:08:15,920 --> 00:08:18,920 Speaker 3: and he sort of saw the look on my face 139 00:08:19,840 --> 00:08:22,560 Speaker 3: that I probably probably didn't agree, and he said, well, Scott, 140 00:08:23,240 --> 00:08:25,520 Speaker 3: you're here because we want to hear what you. 141 00:08:25,480 --> 00:08:26,000 Speaker 4: Have to say. 142 00:08:27,760 --> 00:08:31,400 Speaker 3: And I said, okay, I totally disagree. And that became 143 00:08:31,440 --> 00:08:33,560 Speaker 3: sort of a catchphrase that my friends in the White 144 00:08:33,559 --> 00:08:35,480 Speaker 3: House would say because I said it so often. I 145 00:08:35,559 --> 00:08:39,679 Speaker 3: totally disagree because these people were completely wrong, And the 146 00:08:40,000 --> 00:08:43,640 Speaker 3: sad part was they had no data. There were these 147 00:08:43,720 --> 00:08:47,640 Speaker 3: sophomoric charts tabulated by Deborah Burkes that a middle school 148 00:08:47,800 --> 00:08:53,960 Speaker 3: a student could put together with color coding arbitrary categories 149 00:08:54,000 --> 00:09:01,120 Speaker 3: of red, yellow, green, danger, risky, not a risk, but 150 00:09:01,200 --> 00:09:04,280 Speaker 3: they were just arbitrary the cutoffs for cases, for whatever 151 00:09:04,600 --> 00:09:08,240 Speaker 3: the criteria was. There was no real science or scientific 152 00:09:08,280 --> 00:09:11,800 Speaker 3: debate except when I was asked a question. I was 153 00:09:11,840 --> 00:09:16,080 Speaker 3: prepared with a dozen two dozen scientific papers, all the 154 00:09:16,200 --> 00:09:21,160 Speaker 3: data I had gone through, with the skepticism about the 155 00:09:21,160 --> 00:09:23,960 Speaker 3: study designs that you're supposed to have as a medical scientist, 156 00:09:24,160 --> 00:09:26,120 Speaker 3: and so when I was asked a question, I would 157 00:09:26,200 --> 00:09:29,600 Speaker 3: go through the data. And there was never a single meeting. 158 00:09:29,600 --> 00:09:32,640 Speaker 3: And this is sort of shocking to even keep reliving. 159 00:09:33,440 --> 00:09:37,240 Speaker 3: Not a single time were Deborah Berks or Anthony Fauci 160 00:09:37,600 --> 00:09:41,680 Speaker 3: or Robert Redfield brought scientific papers into the meeting. Not 161 00:09:41,760 --> 00:09:45,400 Speaker 3: a single time was anything I had ever refuted by 162 00:09:45,840 --> 00:09:51,959 Speaker 3: criticism of the data or our alternative numbers or other data. 163 00:09:52,040 --> 00:09:55,960 Speaker 3: Not a single time was there a criticism about a 164 00:09:56,000 --> 00:09:58,520 Speaker 3: study being designed, except from me when I would say, 165 00:09:58,520 --> 00:10:01,640 Speaker 3: of course, as a medical science for decades, the way 166 00:10:01,679 --> 00:10:03,160 Speaker 3: you look at a study as you look at the 167 00:10:03,160 --> 00:10:07,360 Speaker 3: study design first. If the study design is flawed, the 168 00:10:07,440 --> 00:10:10,640 Speaker 3: conclusions are not valid. Not a single time did I 169 00:10:10,679 --> 00:10:15,520 Speaker 3: ever hear Redfield, Berks or Fauci ever criticize a study design, 170 00:10:16,120 --> 00:10:18,960 Speaker 3: And even worse, not a single time did they disagree 171 00:10:19,000 --> 00:10:22,439 Speaker 3: with each other, which course is unheard of, implying that 172 00:10:22,480 --> 00:10:24,679 Speaker 3: they were just there was a group think going on, 173 00:10:24,800 --> 00:10:28,040 Speaker 3: not critical thinking. But the bottom line of not a 174 00:10:28,080 --> 00:10:31,280 Speaker 3: single time is not a single time did they disagree 175 00:10:31,320 --> 00:10:35,800 Speaker 3: with me on data. The only comment was Scott, you're 176 00:10:35,840 --> 00:10:39,640 Speaker 3: an outlier, which of course is not the thinking, not 177 00:10:39,720 --> 00:10:43,200 Speaker 3: a scientific argument, it's not a debate, it's not a 178 00:10:43,240 --> 00:10:47,760 Speaker 3: way to have a discussion you discuss the data. Instead, 179 00:10:47,800 --> 00:10:52,840 Speaker 3: it was ad hominem, you're fringe, you're an outlier. And 180 00:10:52,880 --> 00:10:56,120 Speaker 3: it's also the thinking of a bureaucrat, because it's not 181 00:10:56,440 --> 00:11:00,520 Speaker 3: the way any scientific conference I've ever attended was. It's 182 00:11:00,559 --> 00:11:04,320 Speaker 3: not the way we do discussions of scientific data. It's 183 00:11:04,320 --> 00:11:08,880 Speaker 3: just not it's not appropriate. So it's very it should 184 00:11:08,880 --> 00:11:11,640 Speaker 3: be very frightening everybody is watching this to even know 185 00:11:11,800 --> 00:11:16,760 Speaker 3: this that the people running and advising on the medical science, 186 00:11:17,120 --> 00:11:22,400 Speaker 3: advising the medical policy were not medical scientists. They were bureaucrats. 187 00:11:22,480 --> 00:11:24,720 Speaker 3: Vout She was in his position for thirty eight years. 188 00:11:25,080 --> 00:11:28,440 Speaker 3: Deborah Berks was a government employee for forty years. These 189 00:11:28,480 --> 00:11:31,560 Speaker 3: were bureaucrats. They didn't act like scientists, they didn't think 190 00:11:31,679 --> 00:11:33,520 Speaker 3: like scientists, they didn't. 191 00:11:33,200 --> 00:11:36,280 Speaker 4: Know the data and when they. 192 00:11:36,080 --> 00:11:41,840 Speaker 3: Were wrong, because they were typically wrong everything they were saying, 193 00:11:41,840 --> 00:11:44,560 Speaker 3: and I was showing the data to show they were wrong. 194 00:11:44,960 --> 00:11:48,199 Speaker 3: They were frustrated rather than coming back and having the 195 00:11:48,600 --> 00:11:49,679 Speaker 3: engaged discussion. 196 00:11:49,920 --> 00:11:52,960 Speaker 2: Can you give examples of things that you brought to 197 00:11:53,000 --> 00:11:56,200 Speaker 2: the table, things that are so obvious? I'm assuming there 198 00:11:56,200 --> 00:11:59,240 Speaker 2: are things that we know today that are clearly obvious 199 00:11:59,280 --> 00:12:03,000 Speaker 2: that you brought to the table then and that they rejected. 200 00:12:03,120 --> 00:12:06,120 Speaker 2: And also why would they reject these things? Like why 201 00:12:06,200 --> 00:12:11,200 Speaker 2: were they so married to a certain perspective And we're 202 00:12:11,200 --> 00:12:13,760 Speaker 2: not open to hearing from somebody like you, or even 203 00:12:13,800 --> 00:12:16,520 Speaker 2: bringing in more people like you to the table so 204 00:12:16,559 --> 00:12:18,640 Speaker 2: that there is real scientific debate. 205 00:12:19,160 --> 00:12:22,280 Speaker 3: Yeah, I'm going to answer the last part first because 206 00:12:22,320 --> 00:12:25,120 Speaker 3: I think this is this is a perfect illustration of 207 00:12:25,600 --> 00:12:27,680 Speaker 3: why they didn't want to bring in more people. 208 00:12:28,960 --> 00:12:30,959 Speaker 4: I have two stories to relate that. 209 00:12:31,000 --> 00:12:34,400 Speaker 3: One was Fauci called me up and he said, Scott, 210 00:12:34,440 --> 00:12:36,760 Speaker 3: we'd like to have a meeting of the doctors on 211 00:12:36,800 --> 00:12:40,720 Speaker 3: the task force and see what we have as common ground. 212 00:12:41,400 --> 00:12:44,600 Speaker 3: And I said, okay, that's great. I'd like to bring 213 00:12:44,640 --> 00:12:48,800 Speaker 3: in some of the epidemiologists who are doing the research. 214 00:12:49,240 --> 00:12:51,480 Speaker 3: I want to bring in medical scientists who are doing 215 00:12:51,600 --> 00:12:54,959 Speaker 3: the research on the pandemic, because of course Fauci Redfield 216 00:12:54,960 --> 00:12:58,560 Speaker 3: birks they're not doing research. And I said, that's great. 217 00:12:58,600 --> 00:13:02,720 Speaker 3: I'm going to have some of the world's top epidemiologists 218 00:13:03,840 --> 00:13:07,360 Speaker 3: and the infectious disease experts and virologists come in who 219 00:13:07,360 --> 00:13:10,240 Speaker 3: are doing the research on this pandemic, and we'll have 220 00:13:10,280 --> 00:13:12,720 Speaker 3: a discussion of the data. That was the end of 221 00:13:12,720 --> 00:13:16,080 Speaker 3: the discussion. Because they didn't want to do that. Fauci 222 00:13:16,880 --> 00:13:20,000 Speaker 3: dropped that. That was never brought up again because what 223 00:13:20,040 --> 00:13:25,120 Speaker 3: they instead wanted was Fauci Burke's Redfield in me only 224 00:13:25,320 --> 00:13:28,040 Speaker 3: with no witnesses as to what was going on. I 225 00:13:28,080 --> 00:13:30,960 Speaker 3: wanted to bring in the people doing the research and 226 00:13:31,160 --> 00:13:32,480 Speaker 3: let's have a real discussion. 227 00:13:32,640 --> 00:13:34,640 Speaker 4: So that was that's one example. 228 00:13:35,200 --> 00:13:38,280 Speaker 3: The second example, though, is more flagrant, and this is 229 00:13:39,280 --> 00:13:41,760 Speaker 3: my role as an advisor to the president was to 230 00:13:41,840 --> 00:13:44,640 Speaker 3: answer his questions and give them the best information that 231 00:13:44,720 --> 00:13:47,360 Speaker 3: was available. And I thought, okay, this is very important 232 00:13:47,360 --> 00:13:49,960 Speaker 3: to get the people doing the research in to answer 233 00:13:50,040 --> 00:13:54,520 Speaker 3: the President of the United States questions, not to get 234 00:13:54,600 --> 00:13:58,040 Speaker 3: him to be persuaded by me, to have him ask 235 00:13:58,120 --> 00:14:01,240 Speaker 3: his questions to the people doing the research. So I 236 00:14:01,400 --> 00:14:08,240 Speaker 3: arranged five people to come in and including myself and 237 00:14:08,480 --> 00:14:12,480 Speaker 3: answer questions, have a discussion with the president in the 238 00:14:12,480 --> 00:14:16,560 Speaker 3: Oval office. And we arranged that to occur in August 239 00:14:16,640 --> 00:14:18,760 Speaker 3: of twenty twenty, which is one of the first things 240 00:14:18,760 --> 00:14:22,960 Speaker 3: I did with the idea that Burkes would be able 241 00:14:23,000 --> 00:14:25,960 Speaker 3: to come, because we kept we arranged it and she 242 00:14:26,000 --> 00:14:28,040 Speaker 3: couldn't come because of her schedule, so we changed the 243 00:14:28,160 --> 00:14:30,680 Speaker 3: date so she could come. And this was all set up, 244 00:14:30,920 --> 00:14:35,400 Speaker 3: and I had doctor Martin Kohldorf, who was a professor 245 00:14:35,400 --> 00:14:38,320 Speaker 3: at Harvard Medical School. I had Jay Bodachari, a professor 246 00:14:38,360 --> 00:14:42,920 Speaker 3: at Stanford Medical School. I had Cody Meisner, professor at 247 00:14:42,920 --> 00:14:47,800 Speaker 3: Tuff's in preteratric infectious disease in Boston. I had Joe Ladoppo, 248 00:14:47,840 --> 00:14:50,760 Speaker 3: a professor in health policy at UCLA, and I had 249 00:14:50,760 --> 00:14:53,680 Speaker 3: myself and we all were organized and we were coming 250 00:14:53,680 --> 00:14:57,520 Speaker 3: in and this was all set to have Burke's attend also. 251 00:14:58,360 --> 00:15:02,720 Speaker 3: And then I was called into Jared Kushner's office less 252 00:15:02,760 --> 00:15:05,400 Speaker 3: than twenty four hours before the meeting and I was 253 00:15:05,440 --> 00:15:08,840 Speaker 3: told the meetings not on It's canceled. First of all, 254 00:15:08,840 --> 00:15:11,520 Speaker 3: some of these people are already flying to Washington, and 255 00:15:11,560 --> 00:15:13,360 Speaker 3: I said, what do you mean it's canceled, And they said, well, 256 00:15:13,360 --> 00:15:17,520 Speaker 3: Burke sent an email saying she's uncomfortable, she's not going 257 00:15:17,600 --> 00:15:22,160 Speaker 3: to come, And so I said, well, no, that's unacceptable. 258 00:15:22,560 --> 00:15:24,120 Speaker 3: I said, first of all, the meeting was set to 259 00:15:24,160 --> 00:15:26,880 Speaker 3: have her come. Second, well, if she doesn't know enough 260 00:15:27,520 --> 00:15:30,480 Speaker 3: or is so insecure about her knowledge that she can't come, okay, 261 00:15:30,480 --> 00:15:34,240 Speaker 3: Well that's too bad. That's an indication about her that 262 00:15:34,320 --> 00:15:37,400 Speaker 3: doesn't We canceled the meeting because of the optics of 263 00:15:37,440 --> 00:15:39,880 Speaker 3: how it would look to have a meeting without Deborah 264 00:15:39,880 --> 00:15:43,160 Speaker 3: Burke's there were there to answer the President's questions. 265 00:15:44,320 --> 00:15:45,720 Speaker 4: And in fact, this is. 266 00:15:45,680 --> 00:15:47,920 Speaker 3: One of the This is the only time where I 267 00:15:48,000 --> 00:15:49,840 Speaker 3: really thought I was going to quit, because if they 268 00:15:49,880 --> 00:15:52,560 Speaker 3: were to cancel that, I thought it was so outrageous. 269 00:15:52,800 --> 00:15:56,000 Speaker 3: People are dying. We need to stop people from dying. 270 00:15:56,200 --> 00:15:59,760 Speaker 3: The President of the United States says, questions. It's insane 271 00:16:00,120 --> 00:16:03,200 Speaker 3: not have the world's best scientists who are doing the 272 00:16:03,240 --> 00:16:07,800 Speaker 3: research on the pandemic come in and help because of 273 00:16:07,880 --> 00:16:12,400 Speaker 3: some optics to the public if Birks can't come, and 274 00:16:12,480 --> 00:16:16,640 Speaker 3: so to Jared's credit, he said, okay, we'll have the 275 00:16:16,720 --> 00:16:21,840 Speaker 3: meeting you're right, but it'll only be five minutes, and 276 00:16:21,960 --> 00:16:24,720 Speaker 3: it'll be a hello, meet and greet was the term 277 00:16:24,800 --> 00:16:26,440 Speaker 3: that it was told to me. And at first I 278 00:16:26,600 --> 00:16:29,480 Speaker 3: was like, oh my god, but I said, okay, I 279 00:16:29,520 --> 00:16:33,000 Speaker 3: mean that's let's see how it goes. It's better than nothing. 280 00:16:34,080 --> 00:16:37,640 Speaker 3: So we all went and right before the meeting in 281 00:16:37,720 --> 00:16:39,960 Speaker 3: the Oval Office where they originally were going to have 282 00:16:40,160 --> 00:16:45,480 Speaker 3: open press Q and a press release, because you know, 283 00:16:45,560 --> 00:16:48,320 Speaker 3: not just answering the president's questions is good. But obviously 284 00:16:48,800 --> 00:16:50,720 Speaker 3: the country was in a state of panic. 285 00:16:51,560 --> 00:16:52,920 Speaker 4: The news media. 286 00:16:52,760 --> 00:16:57,920 Speaker 3: Was saying Trump doesn't listen to the science. You would 287 00:16:57,960 --> 00:17:02,040 Speaker 3: think people would want to have their fear allayed and 288 00:17:02,120 --> 00:17:05,560 Speaker 3: the press would want it publicize the actually great scientists 289 00:17:05,600 --> 00:17:10,080 Speaker 3: were talking to the president, but no, the people in 290 00:17:10,160 --> 00:17:14,280 Speaker 3: the PR side or whatever political consulting thought this was 291 00:17:14,320 --> 00:17:16,879 Speaker 3: a bad idea to have other scientists come in and 292 00:17:16,920 --> 00:17:21,080 Speaker 3: answer the president's questions. This is in August of twenty twenty. 293 00:17:21,240 --> 00:17:27,280 Speaker 3: So anyway, we come in and I was told five minutes. 294 00:17:27,760 --> 00:17:30,400 Speaker 3: People were tapping on. We're sitting at the Oval Office 295 00:17:30,960 --> 00:17:33,680 Speaker 3: right in front of the desk of the President, and 296 00:17:33,720 --> 00:17:36,479 Speaker 3: I was told, okay, Scott, you got five minutes so 297 00:17:36,560 --> 00:17:40,119 Speaker 3: the President said, okay, Scott, tell us what we're going 298 00:17:40,200 --> 00:17:43,480 Speaker 3: to do here. So I introduced everybody and I said, 299 00:17:43,480 --> 00:17:45,720 Speaker 3: we're here to answer your questions. And I had had 300 00:17:45,760 --> 00:17:48,600 Speaker 3: previously said to the doctors who I had come in, 301 00:17:49,440 --> 00:17:52,800 Speaker 3: we have no time here. Don't go off pontificating about 302 00:17:52,840 --> 00:17:56,439 Speaker 3: your favorite topic here. Just answer his questions and be 303 00:17:56,560 --> 00:18:00,600 Speaker 3: truthful whatever he asked. And so he started the questions, 304 00:18:00,600 --> 00:18:03,760 Speaker 3: and he went through and asked all the appropriate questions 305 00:18:04,200 --> 00:18:07,600 Speaker 3: about lockdowns, about school closures, about the risks of children, 306 00:18:07,680 --> 00:18:15,320 Speaker 3: about hydroxychloric went about Sweden, about what's happening with economical shutdown, 307 00:18:15,400 --> 00:18:18,600 Speaker 3: et cetera, on public health, and he went through and 308 00:18:18,720 --> 00:18:21,680 Speaker 3: asked point by point, all of the five of us 309 00:18:21,760 --> 00:18:24,200 Speaker 3: these questions. And it went on for forty five minutes, 310 00:18:25,160 --> 00:18:28,000 Speaker 3: and I kept being tapped on the shoulder saying, Scott, 311 00:18:28,040 --> 00:18:30,080 Speaker 3: you know, wrap it up. We have other things. And 312 00:18:30,119 --> 00:18:32,720 Speaker 3: I said, okay, but meantime, I'm not going to rupt 313 00:18:32,760 --> 00:18:35,919 Speaker 3: the President of the United States. That's obvious. Secondly, this 314 00:18:36,040 --> 00:18:41,400 Speaker 3: was important. Third he was asking great questions and in 315 00:18:41,480 --> 00:18:47,480 Speaker 3: fact called in his video maker and said he was 316 00:18:47,520 --> 00:18:51,760 Speaker 3: so happy to have what he called five geniuses here 317 00:18:52,760 --> 00:18:57,359 Speaker 3: that he brought in the video and I narrated a 318 00:18:57,400 --> 00:18:59,600 Speaker 3: small video and we introduced ourselves on the video. Of 319 00:18:59,600 --> 00:19:02,280 Speaker 3: course video has been suppressed. There was never a press release. 320 00:19:03,200 --> 00:19:06,840 Speaker 3: It was viewed as harmful that it was held without Burks. 321 00:19:06,880 --> 00:19:09,760 Speaker 3: But Burkes backed out of it and in fact tried 322 00:19:09,760 --> 00:19:14,280 Speaker 3: to sabotage it, I believe, but luckily we were there. 323 00:19:14,480 --> 00:19:17,960 Speaker 3: So this is an example, to get back to your question, 324 00:19:20,040 --> 00:19:24,600 Speaker 3: people that are advising the president, why are they afraid 325 00:19:24,720 --> 00:19:31,000 Speaker 3: to have expert scientists come in. They're just protecting themselves. 326 00:19:31,000 --> 00:19:36,080 Speaker 3: This is the mentality of an insecure bureaucrat doing the 327 00:19:36,200 --> 00:19:40,840 Speaker 3: CYA for their own position. And in fact this was validated. 328 00:19:40,880 --> 00:19:44,879 Speaker 3: This opinion of mine was validated later because Burkes in 329 00:19:45,040 --> 00:19:50,000 Speaker 3: early twenty twenty one admitted, although I didn't know it 330 00:19:50,040 --> 00:19:51,920 Speaker 3: at the time, during twenty twenty when I was there 331 00:19:51,960 --> 00:19:53,440 Speaker 3: for the three and a half months I was there, 332 00:19:54,000 --> 00:19:57,720 Speaker 3: Burkes admitted that they had a pact Burkes, Fauci, and 333 00:19:57,760 --> 00:20:00,680 Speaker 3: Redfield that if any of them were fight by Trump, 334 00:20:00,760 --> 00:20:04,679 Speaker 3: they would all quit immediately. Now, first of all, to me, 335 00:20:04,800 --> 00:20:07,639 Speaker 3: that strikes me as people not caring if people are dying. 336 00:20:07,760 --> 00:20:12,200 Speaker 3: They care about their own position. Okay, But second of all, 337 00:20:12,320 --> 00:20:15,399 Speaker 3: this is the mark of people who were extremely insecurity 338 00:20:15,440 --> 00:20:20,399 Speaker 3: at different motivations. My motivation was very simple. People were dying, 339 00:20:20,920 --> 00:20:25,439 Speaker 3: It's my country, I'm going to help. And I was 340 00:20:25,880 --> 00:20:32,320 Speaker 3: really appalled at the perverse motivations that I saw. Akay, Admittedly, 341 00:20:32,359 --> 00:20:36,040 Speaker 3: I'm naive. I'm not a political person, but I was shocked, 342 00:20:36,040 --> 00:20:39,280 Speaker 3: and I think people should be shocked and appalled at 343 00:20:39,320 --> 00:20:39,960 Speaker 3: what happened. 344 00:20:40,640 --> 00:20:45,639 Speaker 2: I'm very curious about the motivation of this political medical 345 00:20:45,800 --> 00:20:50,639 Speaker 2: group that seems to be running DC policy and shutting 346 00:20:50,680 --> 00:20:55,199 Speaker 2: the doors of those who actually understand what's happening out 347 00:20:55,240 --> 00:20:56,879 Speaker 2: there on the ground. And I want to get into it. 348 00:20:56,920 --> 00:20:59,400 Speaker 2: But before we get into the motive, I just want 349 00:20:59,400 --> 00:21:01,680 Speaker 2: to know the truth, doctor, I really really do. I mean, 350 00:21:01,720 --> 00:21:03,719 Speaker 2: I have three kids. I know that many people who 351 00:21:03,760 --> 00:21:06,439 Speaker 2: are listening, we want to know the truth. Given that 352 00:21:06,440 --> 00:21:10,040 Speaker 2: the truth has been censored. What were things that you 353 00:21:10,160 --> 00:21:13,600 Speaker 2: knew back then and you still know today that we 354 00:21:13,640 --> 00:21:16,080 Speaker 2: should know. I have a list of these things about 355 00:21:16,359 --> 00:21:23,600 Speaker 2: Corona COVID. First of all, Corona SARS COVID to us, 356 00:21:23,680 --> 00:21:28,440 Speaker 2: it was projected as if it's a completely brand new 357 00:21:28,480 --> 00:21:31,679 Speaker 2: beast and nobody knew how to handle it, and it 358 00:21:31,760 --> 00:21:36,000 Speaker 2: was just this like overwhelming environment where you know, the 359 00:21:36,280 --> 00:21:39,240 Speaker 2: scientists can't really do science because it's completely new. 360 00:21:39,560 --> 00:21:40,320 Speaker 3: Is it really? 361 00:21:40,680 --> 00:21:42,840 Speaker 2: Was it really that new for you guys? Were you 362 00:21:42,960 --> 00:21:45,359 Speaker 2: so lost that you didn't even know where to start 363 00:21:45,359 --> 00:21:47,280 Speaker 2: when it came to COVID? How new was it? 364 00:21:47,960 --> 00:21:52,000 Speaker 3: Well, the answer is no, it was not so lost 365 00:21:52,160 --> 00:21:55,320 Speaker 3: and new and new information. No information was known. This 366 00:21:55,480 --> 00:21:58,920 Speaker 3: is one of the many lies. And I don't want 367 00:21:58,960 --> 00:22:02,760 Speaker 3: to use the word missing because it's such an overused word. 368 00:22:02,560 --> 00:22:02,720 Speaker 4: But. 369 00:22:04,359 --> 00:22:09,560 Speaker 3: There were several false beliefs put forward to the public. 370 00:22:10,160 --> 00:22:12,879 Speaker 3: And when I say false, I'm talking about things that 371 00:22:12,920 --> 00:22:17,479 Speaker 3: we knew in spring of twenty twenty, not learned, not 372 00:22:17,600 --> 00:22:21,280 Speaker 3: learned in twenty twenty one, twenty twenty two, twenty twenty three, 373 00:22:21,440 --> 00:22:22,040 Speaker 3: we knew? 374 00:22:22,280 --> 00:22:23,879 Speaker 4: What did we know? Okay? 375 00:22:23,880 --> 00:22:27,640 Speaker 3: What were the false statements? Number one, everybody's at risk 376 00:22:27,680 --> 00:22:30,840 Speaker 3: to die? That's just false. From the earliest data of 377 00:22:30,880 --> 00:22:35,679 Speaker 3: the cruise ship, the Japanese cruise ship, we knew that 378 00:22:35,840 --> 00:22:41,520 Speaker 3: this was a virus that, thank god, was essentially spared 379 00:22:42,160 --> 00:22:46,080 Speaker 3: younger people and the high risk population were elderly people 380 00:22:47,280 --> 00:22:49,959 Speaker 3: with a lot of comor abilities. But you know, one 381 00:22:50,000 --> 00:22:53,400 Speaker 3: of the false everyone's at risk to die. The fatality 382 00:22:53,480 --> 00:22:56,119 Speaker 3: rate was extraordinarily high three point four percent by the 383 00:22:56,119 --> 00:22:57,120 Speaker 3: World Health Organization. 384 00:22:57,200 --> 00:22:59,440 Speaker 4: That was false. We knew it at the time. 385 00:22:59,520 --> 00:23:02,680 Speaker 3: Anybody with five minutes of time who's a medical scientist 386 00:23:02,760 --> 00:23:06,880 Speaker 3: would have known that that's a fraction. And then it's 387 00:23:06,920 --> 00:23:08,840 Speaker 3: the number of people who died divided by the number 388 00:23:08,880 --> 00:23:12,800 Speaker 3: of people were infected. And the bottom number in the 389 00:23:12,920 --> 00:23:17,160 Speaker 3: who calculation was only considering the people who were so 390 00:23:17,440 --> 00:23:19,960 Speaker 3: sick that they went to see a doctor. But as 391 00:23:20,000 --> 00:23:24,320 Speaker 3: we know from other viral respiratory infections, including coronaviruses, which 392 00:23:24,400 --> 00:23:28,120 Speaker 3: this is one of the members of the family of coronaviruses, 393 00:23:28,320 --> 00:23:32,199 Speaker 3: four or five of which are already circulating in our 394 00:23:33,040 --> 00:23:37,280 Speaker 3: in our civilization, the bottom number should have been everybody 395 00:23:37,280 --> 00:23:42,840 Speaker 3: who's infected, because many, maybe half, are totally asymptomatic, maybe 396 00:23:42,880 --> 00:23:46,080 Speaker 3: even more have such minimal symptoms. So the infection fatality 397 00:23:46,119 --> 00:23:50,120 Speaker 3: it was grossly overstated. That was known, there was no 398 00:23:50,200 --> 00:23:52,520 Speaker 3: protection from this virus, that it was totally new. 399 00:23:52,560 --> 00:23:53,240 Speaker 4: No, it wasn't. 400 00:23:53,800 --> 00:23:56,800 Speaker 3: It was not completely new in that it's a member 401 00:23:56,920 --> 00:24:02,159 Speaker 3: of a virus family coronaviruses, that other that parts of 402 00:24:02,200 --> 00:24:05,439 Speaker 3: the world had a lot of protection from and this 403 00:24:05,600 --> 00:24:08,399 Speaker 3: is probably one of the reasons why some of the 404 00:24:08,440 --> 00:24:12,040 Speaker 3: countries in Asia had lower infection fatality rates from this virus, 405 00:24:12,040 --> 00:24:14,520 Speaker 3: because they had more experience with sars I, for instance. 406 00:24:14,840 --> 00:24:17,600 Speaker 3: And there already was data in the summer of twenty 407 00:24:17,680 --> 00:24:23,919 Speaker 3: twenty that showed that there's immunological reaction of old blood 408 00:24:24,000 --> 00:24:29,080 Speaker 3: samples from sars IE. We're talking about many, many years beforehand, 409 00:24:29,320 --> 00:24:31,840 Speaker 3: so therefore we're never exposed to stars to when you 410 00:24:31,880 --> 00:24:38,160 Speaker 3: put the SARS two virus in, it elicited an immunological response. Okay, 411 00:24:38,160 --> 00:24:42,320 Speaker 3: that implies an overlapping biological protection because a member of 412 00:24:42,359 --> 00:24:48,280 Speaker 3: the same family. Okay, the other lies everyone has the 413 00:24:48,320 --> 00:24:52,960 Speaker 3: same risk. I already said that's false. Everyone spreads equally. 414 00:24:53,000 --> 00:24:55,080 Speaker 3: That's just not true. That was not true from the 415 00:24:55,160 --> 00:24:58,359 Speaker 3: data in Europe that everyone. 416 00:24:58,760 --> 00:24:59,760 Speaker 4: Can I ask you about that. 417 00:25:00,119 --> 00:25:03,080 Speaker 2: So one of the things that we were told was 418 00:25:03,119 --> 00:25:07,640 Speaker 2: that asymptomatic people would spread the virus and that's why 419 00:25:07,760 --> 00:25:13,040 Speaker 2: children who were not symptomatic were very dangerous because they 420 00:25:13,080 --> 00:25:17,560 Speaker 2: would possibly carry it and kill the elderly without knowing it. 421 00:25:17,920 --> 00:25:20,680 Speaker 2: Did you guys know, first of all, is that even true. 422 00:25:20,840 --> 00:25:24,479 Speaker 3: Yeah, there's two parts to the answer. Part one is 423 00:25:24,520 --> 00:25:28,960 Speaker 3: that it was known from schools open in studies were 424 00:25:28,960 --> 00:25:33,800 Speaker 3: done in Sweden and Finland and elsewhere. Early on in 425 00:25:33,920 --> 00:25:37,879 Speaker 3: spring summer twenty twenty, it was known that open schools 426 00:25:38,520 --> 00:25:43,520 Speaker 3: do not have a higher rate of infection than close schools. 427 00:25:43,640 --> 00:25:46,440 Speaker 3: They do not increase the infection rate of the teachers, 428 00:25:46,480 --> 00:25:49,440 Speaker 3: They do not increase the infection rate of the community. 429 00:25:49,480 --> 00:25:50,639 Speaker 4: There was zero harm. 430 00:25:50,720 --> 00:25:54,560 Speaker 3: It was known that schools should be open. That whole 431 00:25:54,600 --> 00:25:58,400 Speaker 3: thing was a lie. The second sub bullet point sort 432 00:25:58,440 --> 00:26:01,240 Speaker 3: of under that, is that in the United States, teachers 433 00:26:01,320 --> 00:26:04,240 Speaker 3: did not have a higher risk and in fact, teachers 434 00:26:04,280 --> 00:26:07,240 Speaker 3: are a low risk population. The median age of a 435 00:26:07,320 --> 00:26:10,800 Speaker 3: K through twelfth teacher in the United States is forty one. Okay, 436 00:26:10,800 --> 00:26:14,000 Speaker 3: so half the people are under forty This is a 437 00:26:14,040 --> 00:26:17,399 Speaker 3: low risk group. Ninety two percent of teachers are under 438 00:26:17,400 --> 00:26:20,120 Speaker 3: sixty in the United States. Remember the high risk group 439 00:26:20,160 --> 00:26:23,400 Speaker 3: as people who are very old. And are there any 440 00:26:23,480 --> 00:26:25,359 Speaker 3: high risk teachers? Of course there are. There are immuno 441 00:26:25,359 --> 00:26:29,160 Speaker 3: compromise teachers are immuno compromised students. Okay, we could protect them, 442 00:26:29,240 --> 00:26:31,800 Speaker 3: they don't have to even go in. So but teachers 443 00:26:31,800 --> 00:26:35,040 Speaker 3: were not high risk. But the second part is, and 444 00:26:35,080 --> 00:26:38,359 Speaker 3: there was also several studies. There were about a dozen 445 00:26:38,480 --> 00:26:45,360 Speaker 3: studies in the early twenty twenty literature from Sweden, the Netherlands, France, 446 00:26:45,840 --> 00:26:55,320 Speaker 3: South Korea, the UK, Spain, Italy, Finland, Denmark that children 447 00:26:55,480 --> 00:27:00,359 Speaker 3: were not significant spreaders. Okay, so that was proven. Children 448 00:27:00,400 --> 00:27:06,679 Speaker 3: were not significant spreaders of this virus and children were not, 449 00:27:06,880 --> 00:27:09,680 Speaker 3: of course at high risk. In fact, healthy children had 450 00:27:09,720 --> 00:27:14,640 Speaker 3: a minuscule risk. This was known early on, and in 451 00:27:14,640 --> 00:27:19,720 Speaker 3: fact even on retrospective analysis of the Nation of Germany's 452 00:27:20,359 --> 00:27:25,919 Speaker 3: data during twenty twenty pre vaccine and the most lethal 453 00:27:26,000 --> 00:27:31,119 Speaker 3: form of the virus, zero healthy children died in Germany. Zero, 454 00:27:31,680 --> 00:27:35,520 Speaker 3: not zero percent. Zero. The numbers of children that died 455 00:27:35,560 --> 00:27:40,840 Speaker 3: in the United States are extremely low. Were their children 456 00:27:40,840 --> 00:27:44,159 Speaker 3: that died, Yes, there were children that died, almost all 457 00:27:44,200 --> 00:27:47,520 Speaker 3: of them, and perhaps all of them it's not clear 458 00:27:48,040 --> 00:27:53,280 Speaker 3: had underlying comorbidities. Healthy children had minuscule risk, This was known. 459 00:27:53,400 --> 00:27:56,640 Speaker 3: This was known early on. In fact, people under twenty, 460 00:27:57,040 --> 00:28:01,520 Speaker 3: the survival rate is ninety nine point nine nine seven 461 00:28:01,840 --> 00:28:06,760 Speaker 3: percent of people under twenty. The data now, by the way, 462 00:28:07,240 --> 00:28:10,399 Speaker 3: shows in retrospect not now, but the data from the 463 00:28:10,480 --> 00:28:13,960 Speaker 3: most lethal form of the virus, two thirds of deaths 464 00:28:14,080 --> 00:28:18,360 Speaker 3: were in people that were over the age of life expectancy. 465 00:28:18,760 --> 00:28:22,720 Speaker 3: It's not minimizing that people died, but two thirds of 466 00:28:22,840 --> 00:28:27,840 Speaker 3: deaths were in people that had six or more comorbidities. 467 00:28:28,760 --> 00:28:32,760 Speaker 3: So if you're old and you have hypertension or high 468 00:28:32,760 --> 00:28:36,520 Speaker 3: blood pressure that's treated, you're not necessarily at high risk. 469 00:28:37,119 --> 00:28:41,120 Speaker 3: It's old people who had six comorbidities or more. Okay, 470 00:28:41,200 --> 00:28:44,000 Speaker 3: you have to be elderly and frail. So there was 471 00:28:44,040 --> 00:28:47,600 Speaker 3: a gross overstatement as to who had risk. There was 472 00:28:47,640 --> 00:28:51,560 Speaker 3: a distortion, and there was not significant risk really from 473 00:28:51,680 --> 00:28:54,800 Speaker 3: children specifically. It was nothing special about them. And then 474 00:28:54,840 --> 00:28:58,200 Speaker 3: the last part of your question is asymptomatic spread. And 475 00:28:58,240 --> 00:29:01,520 Speaker 3: Fauci said he was all over the map on many 476 00:29:01,560 --> 00:29:04,480 Speaker 3: different things, but early on he said something correct, which 477 00:29:04,520 --> 00:29:08,880 Speaker 3: is that asymptomatic people are not the drivers of viral 478 00:29:08,960 --> 00:29:13,320 Speaker 3: respiratory epidemics. And that's true in this one. Okay, most 479 00:29:13,320 --> 00:29:16,560 Speaker 3: of the infection was not driven by asymptomatic people. Could 480 00:29:16,600 --> 00:29:21,719 Speaker 3: asymptomatic people spread, Yes, No, one's saying that that never happened. 481 00:29:21,760 --> 00:29:27,040 Speaker 3: That isn't the point. Similarly, Interestingly, almost all cases, or 482 00:29:27,120 --> 00:29:30,920 Speaker 3: the vast majority of cases, were spread indoors, so of 483 00:29:30,920 --> 00:29:35,000 Speaker 3: course the lockdowns, recommending people stay indoors and pulling people 484 00:29:35,320 --> 00:29:38,240 Speaker 3: off the beaches, forbidding them from being in the parks, 485 00:29:38,840 --> 00:29:42,080 Speaker 3: taking boats out to arrest people surfing out off the 486 00:29:42,080 --> 00:29:45,760 Speaker 3: coast of San Diego. I mean, this was completely antithetical, 487 00:29:45,920 --> 00:29:49,040 Speaker 3: opposite to what was known. So so many things were 488 00:29:49,080 --> 00:29:51,520 Speaker 3: known by the way. I do want to get to 489 00:29:51,520 --> 00:29:54,680 Speaker 3: one other thing that was a lie that was perpetrated 490 00:29:54,720 --> 00:29:57,560 Speaker 3: on the public, which was that there's no protection other 491 00:29:57,600 --> 00:30:02,280 Speaker 3: than a vaccine. Okay, this this doesn't just erase decades 492 00:30:02,320 --> 00:30:06,680 Speaker 3: of immunology literature that we get a recovery from a 493 00:30:06,800 --> 00:30:11,120 Speaker 3: virus infection. You have biological protection that is long lasting 494 00:30:11,560 --> 00:30:14,760 Speaker 3: against the serious illness or death. That was known not 495 00:30:14,840 --> 00:30:18,040 Speaker 3: just for decades, not just for hundreds of years, but 496 00:30:18,160 --> 00:30:21,440 Speaker 3: as my friend Martin Koldorff said, for thousands of years. 497 00:30:22,440 --> 00:30:28,240 Speaker 3: I mean, this recovery from a virus generating long lasting 498 00:30:28,320 --> 00:30:33,720 Speaker 3: biological protection was known, yet it was overtly explicitly denied 499 00:30:34,400 --> 00:30:37,320 Speaker 3: by people in the task force, by the media, and 500 00:30:37,360 --> 00:30:38,959 Speaker 3: by many medical scientists. 501 00:30:39,200 --> 00:30:42,240 Speaker 1: If you liked the Michael Berry Show in podcast, please 502 00:30:42,400 --> 00:30:46,520 Speaker 1: tell one friend, and if you're so inclined, write a 503 00:30:46,640 --> 00:30:51,640 Speaker 1: nice review of our podcast. Comments suggestions, questions, and interest 504 00:30:51,800 --> 00:30:55,680 Speaker 1: in being a corporate sponsor and partner can be communicated 505 00:30:55,720 --> 00:31:00,240 Speaker 1: directly to the show at our email address, Michael at 506 00:31:00,320 --> 00:31:04,800 Speaker 1: Michael Berryshow dot com, or simply by clicking on our website, 507 00:31:05,160 --> 00:31:09,680 Speaker 1: Michael Berryshow dot com. The Michael Berry Show and Podcast 508 00:31:09,960 --> 00:31:15,120 Speaker 1: is produced by Ramon Roeblis, the King of Ding. Executive 509 00:31:15,160 --> 00:31:24,000 Speaker 1: producer is Chad Nakanishi. Jim Mudd is the creative director. 510 00:31:24,800 --> 00:31:30,400 Speaker 1: Voices Jingles, Tomfoolery and Shenanigans are provided by Chance McLean. 511 00:31:31,240 --> 00:31:35,680 Speaker 1: Director of Research is Sandy Peterson. Emily Bull is our 512 00:31:35,760 --> 00:31:43,160 Speaker 1: assistant listener and superfan. Contributions are appreciated and often incorporated 513 00:31:43,360 --> 00:31:46,920 Speaker 1: into our production. Where possible, we give credit. Where not, 514 00:31:47,480 --> 00:31:50,640 Speaker 1: we take all the credit for ourselves. God bless the 515 00:31:50,680 --> 00:31:56,360 Speaker 1: memory of Rush Limbaugh. Long live Elvis, be a simple 516 00:31:56,440 --> 00:32:02,240 Speaker 1: man like Leonard Skinnard told you, and God bless America. Finally, 517 00:32:03,000 --> 00:32:06,760 Speaker 1: if you know a veteran suffering from PTSD, call Camp 518 00:32:06,800 --> 00:32:12,640 Speaker 1: Hope at eight seven seven seven one seven PTSD and 519 00:32:12,760 --> 00:32:17,080 Speaker 1: a combat veteran will answer the phone to provide free counseling.