1 00:00:00,160 --> 00:00:03,120 Speaker 1: So COVID is in the news again, just in time 2 00:00:03,320 --> 00:00:07,280 Speaker 1: for a new booster, new vaccine to be released, they 3 00:00:07,280 --> 00:00:12,399 Speaker 1: say mid September, just in time for the upcoming presidential election. 4 00:00:12,960 --> 00:00:15,920 Speaker 1: I guess we should call it the election variant. So 5 00:00:16,239 --> 00:00:20,160 Speaker 1: are Americans going to fall for this again? Are enough 6 00:00:20,200 --> 00:00:25,400 Speaker 1: Americans still fired up about the destruction that politicians caused 7 00:00:25,480 --> 00:00:28,240 Speaker 1: their lives, the businesses that were shut down, the people 8 00:00:28,280 --> 00:00:31,440 Speaker 1: who were denied the ability to say goodbye to a 9 00:00:31,480 --> 00:00:35,479 Speaker 1: loved one, that people who died of suicide or overdoses 10 00:00:35,560 --> 00:00:42,280 Speaker 1: because of the loneliness from government dictated lockdowns. Are Americans 11 00:00:42,320 --> 00:00:46,720 Speaker 1: going to take this again? How will we respond to 12 00:00:46,800 --> 00:00:50,280 Speaker 1: this as a country and how far is Joe Biden 13 00:00:50,560 --> 00:00:53,159 Speaker 1: and the left willing to push it. We're going to 14 00:00:53,159 --> 00:00:56,680 Speaker 1: talk to Jeffrey Tucker of the Brownstone Institute. He's the 15 00:00:56,720 --> 00:01:01,200 Speaker 1: founder and president. He's also the author of Liberty or Lockdown. 16 00:01:01,560 --> 00:01:05,080 Speaker 1: The Brownstone Institute's a nonprofit dedicated to finding out what 17 00:01:05,240 --> 00:01:08,680 Speaker 1: happened during COVID and dedicated to making sure it never 18 00:01:08,760 --> 00:01:17,120 Speaker 1: happens again. So stay tuned for Jeffrey Tucker. Well, Jeffrey, 19 00:01:17,280 --> 00:01:19,319 Speaker 1: it's an honor to have you on the show. You 20 00:01:19,360 --> 00:01:24,039 Speaker 1: started the Brownstone Institute, which has been incredibly helpful because 21 00:01:24,520 --> 00:01:26,800 Speaker 1: we really haven't been getting the truth from most of 22 00:01:26,840 --> 00:01:31,360 Speaker 1: the media about COVID, and you guys have been working 23 00:01:31,360 --> 00:01:34,080 Speaker 1: to provide that for the American people. So I'm so 24 00:01:34,200 --> 00:01:36,839 Speaker 1: glad that you started it and that it exists. 25 00:01:37,000 --> 00:01:39,319 Speaker 2: Can you believe that three and a half years later, 26 00:01:39,440 --> 00:01:42,679 Speaker 2: we still don't have any clarity about what happened to 27 00:01:42,760 --> 00:01:45,880 Speaker 2: us and why, or any of the basic facts about 28 00:01:45,920 --> 00:01:48,080 Speaker 2: what COVID is and what it does and who's at 29 00:01:48,200 --> 00:01:50,880 Speaker 2: risk and how do you avoid it and then the 30 00:01:50,920 --> 00:01:55,160 Speaker 2: relationship of you know, government policy to the infection rate. 31 00:01:56,320 --> 00:01:58,520 Speaker 2: Three and a half years later, there's still not been 32 00:01:58,560 --> 00:01:59,520 Speaker 2: a reckoning over this. 33 00:02:00,000 --> 00:02:02,800 Speaker 1: Astonishing There still hasn't been a reckoning, and it looks 34 00:02:02,840 --> 00:02:05,480 Speaker 1: like we're about to, you know, get back into the 35 00:02:05,520 --> 00:02:08,560 Speaker 1: cycle of this. I got this alert this morning from 36 00:02:08,560 --> 00:02:11,720 Speaker 1: the Washington Post. Latest COVID variant threatens to be the 37 00:02:11,720 --> 00:02:15,360 Speaker 1: most adept at evating immunity. Very scary. And then you know, 38 00:02:15,440 --> 00:02:17,359 Speaker 1: you go through and you just search COVID. It's in 39 00:02:17,400 --> 00:02:20,120 Speaker 1: the headlines again, right, you know, talking about how this 40 00:02:20,160 --> 00:02:24,320 Speaker 1: new variant is spreading in the US, rise in hospitalizations, 41 00:02:24,360 --> 00:02:28,079 Speaker 1: you know, the updated COVID shot likely to be available 42 00:02:28,280 --> 00:02:31,760 Speaker 1: just in time in mid September, you know, and it 43 00:02:31,840 --> 00:02:35,160 Speaker 1: almost makes you wonder, I mean, shouldn't they just call 44 00:02:35,240 --> 00:02:36,680 Speaker 1: this the election variant? 45 00:02:37,520 --> 00:02:40,639 Speaker 2: Yeah, there's something very suspicious about the timing of all 46 00:02:40,680 --> 00:02:44,320 Speaker 2: this stuff, since there is no evidence whatsoever that there's 47 00:02:44,360 --> 00:02:47,360 Speaker 2: something uniquely dangerous about this new variant. There's just another 48 00:02:47,440 --> 00:02:51,519 Speaker 2: variant and gets you know, these respiratory viruses are always mutating, 49 00:02:51,600 --> 00:02:54,360 Speaker 2: that's just the way they do. Some some of these 50 00:02:55,000 --> 00:02:58,799 Speaker 2: pathogens are stable, and there are things against the witch 51 00:02:58,800 --> 00:03:02,480 Speaker 2: Shoe can vaccinate, but others like this are constantly producing 52 00:03:02,600 --> 00:03:05,640 Speaker 2: new variants. And our immune system needs to be you know, 53 00:03:05,760 --> 00:03:12,359 Speaker 2: constantly sort of sustaining alert and upgraded through exposure. And 54 00:03:12,760 --> 00:03:15,520 Speaker 2: it's this is the way human beings have managed these 55 00:03:15,520 --> 00:03:17,919 Speaker 2: sorts of things since the beginning of time. There's nothing 56 00:03:18,000 --> 00:03:20,400 Speaker 2: particularly unusual about the SARS Kobe two, if it was 57 00:03:20,440 --> 00:03:25,000 Speaker 2: a new virus four years ago, is now thoroughly endemic 58 00:03:25,200 --> 00:03:28,640 Speaker 2: in the population, and it's easy to manage through therapeutics 59 00:03:28,880 --> 00:03:31,120 Speaker 2: and just good health and that sort of thing. So 60 00:03:31,160 --> 00:03:34,040 Speaker 2: there's no basis for the hysteria at all. And I 61 00:03:34,040 --> 00:03:36,360 Speaker 2: don't know about you, but I you know, I think 62 00:03:36,400 --> 00:03:40,400 Speaker 2: that this this, this, all this media generating a fear. 63 00:03:40,680 --> 00:03:44,160 Speaker 2: It's not producing fear of the virus. It's producing fear 64 00:03:44,240 --> 00:03:47,960 Speaker 2: of lockdowns. My phone has been ringing off the hook 65 00:03:48,000 --> 00:03:50,320 Speaker 2: with people asking me what should I do? You know, 66 00:03:50,440 --> 00:03:52,320 Speaker 2: I mean, we're going to get locked down again. Can 67 00:03:52,360 --> 00:03:56,760 Speaker 2: I leave the country safely? You know what if I 68 00:03:56,800 --> 00:03:59,000 Speaker 2: find myself in New York and I can't get out? 69 00:03:59,040 --> 00:04:00,600 Speaker 2: I mean, people are really scared. 70 00:04:01,040 --> 00:04:04,280 Speaker 1: I guess what worries me the most, and the biggest 71 00:04:04,360 --> 00:04:07,840 Speaker 1: question that I continue to think about all this is 72 00:04:07,960 --> 00:04:10,160 Speaker 1: do Americans want to be free? 73 00:04:10,760 --> 00:04:14,920 Speaker 2: Wow? That is a big question. Well I don't even 74 00:04:15,000 --> 00:04:16,719 Speaker 2: know how to answer that, except to say that I 75 00:04:16,760 --> 00:04:19,920 Speaker 2: think probably less so than in previous generations. And that 76 00:04:20,040 --> 00:04:24,120 Speaker 2: is a major problem that definitely needs to be fixed. 77 00:04:25,040 --> 00:04:30,080 Speaker 2: I'm not sure what led to a situation where everybody 78 00:04:30,240 --> 00:04:35,119 Speaker 2: became so strangely compliant three and a half years ago. 79 00:04:36,320 --> 00:04:39,200 Speaker 2: I don't know if thee Civics education or just spoiled 80 00:04:39,200 --> 00:04:44,320 Speaker 2: through ridiculous levels of prosperity. We have several generations now 81 00:04:44,360 --> 00:04:48,520 Speaker 2: that never had to fight for anything. So I'm not sure. 82 00:04:48,760 --> 00:04:50,960 Speaker 2: And this is what worries me. And this is really 83 00:04:51,000 --> 00:04:53,640 Speaker 2: why I started the Brownstone Institute was to you know, 84 00:04:53,960 --> 00:04:56,839 Speaker 2: figure this problem out and to highlight the beauty of 85 00:04:57,040 --> 00:05:00,560 Speaker 2: human freedom. And I've gained a new appreciation for just 86 00:05:00,640 --> 00:05:04,120 Speaker 2: how fragile it is. I don't think I entirely understood 87 00:05:05,080 --> 00:05:08,679 Speaker 2: that our freedoms could be so suddenly and quickly taken 88 00:05:08,720 --> 00:05:12,640 Speaker 2: away by administrative state the way they did it. I 89 00:05:12,800 --> 00:05:15,440 Speaker 2: never imagined I'd see anything like that in my lifetime. 90 00:05:15,600 --> 00:05:17,240 Speaker 2: So it's a genuine crisis. 91 00:05:18,040 --> 00:05:19,839 Speaker 1: When you wrote the book about it, you know, liberty 92 00:05:20,040 --> 00:05:22,640 Speaker 1: or lockdown, you know. But my fear too is that, 93 00:05:22,920 --> 00:05:25,320 Speaker 1: you know, I didn't get vaccinated ever. On the show, 94 00:05:25,400 --> 00:05:27,000 Speaker 1: I talk about it all the time because I think 95 00:05:27,080 --> 00:05:30,719 Speaker 1: that was one of the scariest and simultaneously you know, 96 00:05:30,800 --> 00:05:34,200 Speaker 1: dumbest moments of American history when that was being forced 97 00:05:34,240 --> 00:05:38,200 Speaker 1: down the throats of Americans. And but what terrified me 98 00:05:38,240 --> 00:05:40,120 Speaker 1: the most, and it goes back to that question of 99 00:05:40,120 --> 00:05:43,039 Speaker 1: do Americans want to be free? There was you know, 100 00:05:43,120 --> 00:05:46,480 Speaker 1: polling by Rasmussen where nearly half of Democrats wanted to 101 00:05:46,600 --> 00:05:49,360 Speaker 1: put me and people like me who did get the 102 00:05:49,400 --> 00:05:52,800 Speaker 1: vaccine in some sort of government camp. And you can 103 00:05:52,880 --> 00:05:56,120 Speaker 1: really sort of go back in moments of history, and 104 00:05:56,440 --> 00:05:59,960 Speaker 1: while obviously not making comparisons, but you can see how 105 00:06:00,000 --> 00:06:02,559 Speaker 1: well people that are you know, quote unquote good people 106 00:06:03,600 --> 00:06:05,920 Speaker 1: go along with really bad things. And I think that 107 00:06:06,400 --> 00:06:08,640 Speaker 1: scares me the most about where we are as a 108 00:06:08,720 --> 00:06:10,320 Speaker 1: society and where we could be heading. 109 00:06:10,520 --> 00:06:13,560 Speaker 2: Yeah, I know what you mean. When I was young 110 00:06:13,640 --> 00:06:16,560 Speaker 2: and in college, there's a book called Extraordinary Popular Delusions 111 00:06:16,600 --> 00:06:19,480 Speaker 2: and the Madness of Crowds, which provides, you know, fascinating 112 00:06:19,760 --> 00:06:22,680 Speaker 2: anecdotes from all of history where people just went insane, 113 00:06:23,720 --> 00:06:26,520 Speaker 2: and I always thought, Wow, look at how crazy people 114 00:06:26,600 --> 00:06:28,239 Speaker 2: used to be in the past. That will never happen 115 00:06:28,600 --> 00:06:31,080 Speaker 2: to us now because we're too well educated and we 116 00:06:31,240 --> 00:06:34,240 Speaker 2: have access to all sorts of information. We'll never go 117 00:06:34,440 --> 00:06:38,000 Speaker 2: through this. Unfortunately, we did go through it, and it 118 00:06:38,200 --> 00:06:46,440 Speaker 2: was extremely brutal, very cruel. The vaccine mandates eventually mutated 119 00:06:46,480 --> 00:06:53,160 Speaker 2: into full scale segregation in I guess five cities in 120 00:06:54,279 --> 00:06:58,960 Speaker 2: let me think this would have been, yeah, in late 121 00:06:59,360 --> 00:07:04,800 Speaker 2: twenty twenty one and early twenty twenty two. So we 122 00:07:04,880 --> 00:07:08,760 Speaker 2: had New York, Boston, New Orleans, Chicago's you know, really 123 00:07:08,960 --> 00:07:14,960 Speaker 2: just shut off their services, their public accommodations, commercial enterprises 124 00:07:15,600 --> 00:07:20,200 Speaker 2: to the non vaccinated, and they did this without any 125 00:07:20,320 --> 00:07:23,920 Speaker 2: regard for the demographics to the unvaccinated group. But you know, 126 00:07:24,240 --> 00:07:29,240 Speaker 2: the largest single unvaccinated group in this country is members 127 00:07:29,240 --> 00:07:31,440 Speaker 2: of the African American community. So they, you know, in 128 00:07:31,560 --> 00:07:39,640 Speaker 2: New York forty were excluded from libraries, theaters, restaurants, bars. 129 00:07:40,560 --> 00:07:44,000 Speaker 2: It's it's astonishing. I don't remember reading anything about that, 130 00:07:44,120 --> 00:07:45,960 Speaker 2: but I looked at the demographics and I thought, this 131 00:07:46,120 --> 00:07:49,560 Speaker 2: is this is segregation, and and and the New York 132 00:07:49,600 --> 00:07:53,200 Speaker 2: Times loves it. And we had you know, in those 133 00:07:53,320 --> 00:07:57,320 Speaker 2: days too, there was there was really no evidence that 134 00:07:57,440 --> 00:08:02,320 Speaker 2: the vaccine was capable of protecting people and certainly, you know, 135 00:08:02,840 --> 00:08:05,880 Speaker 2: stopping the spread of the virus. There was no evidence 136 00:08:05,920 --> 00:08:08,800 Speaker 2: of that. In fact, the euas offered for the vaccines, 137 00:08:08,880 --> 00:08:11,760 Speaker 2: never even claimed that they were going to do that. 138 00:08:12,720 --> 00:08:15,240 Speaker 2: It's true that Woolenski and Fauci and the rest of 139 00:08:15,280 --> 00:08:18,600 Speaker 2: these people, Rachel Maddow and so on, all said this, 140 00:08:18,840 --> 00:08:21,520 Speaker 2: but there was no scientific evidence of this, and we 141 00:08:21,640 --> 00:08:24,280 Speaker 2: did it anyway. We just began to demonize, you know, 142 00:08:24,400 --> 00:08:28,560 Speaker 2: the unvaccinated and blame them for the perpetuation of the pandemic, 143 00:08:28,640 --> 00:08:31,520 Speaker 2: even though there was no evidence for that either. It 144 00:08:31,680 --> 00:08:36,600 Speaker 2: was extraordinarily cruel based on superstition and really a kind 145 00:08:36,640 --> 00:08:40,760 Speaker 2: of unmitigated hatred of the other. And this really happened 146 00:08:40,840 --> 00:08:41,800 Speaker 2: in our times. 147 00:08:42,040 --> 00:08:43,839 Speaker 1: Well, and that's what it really was. It was the 148 00:08:43,960 --> 00:08:49,520 Speaker 1: othering of people, which we've seen throughout history, and because 149 00:08:49,559 --> 00:08:52,480 Speaker 1: there really wasn't any you know. And what was strange 150 00:08:52,640 --> 00:08:56,240 Speaker 1: was being a rational person during all of this who 151 00:08:56,320 --> 00:08:58,960 Speaker 1: didn't get caught up in the hysteria, who was actually 152 00:08:59,040 --> 00:09:02,439 Speaker 1: trying to look at thet because from a fact based 153 00:09:02,559 --> 00:09:05,880 Speaker 1: rational standpoint, you could say, Okay, as a young and 154 00:09:06,000 --> 00:09:08,960 Speaker 1: healthy person, statistically, I'm just not at risk of dying 155 00:09:09,000 --> 00:09:14,160 Speaker 1: from COVID. COVID is clearly not preventing or the vaccine 156 00:09:14,240 --> 00:09:17,520 Speaker 1: is not preventing the spread of COVID. So therefore this 157 00:09:17,640 --> 00:09:20,000 Speaker 1: is not a public health thing to get vaccinated. I'm 158 00:09:20,000 --> 00:09:23,240 Speaker 1: not protecting my neighbors by getting vaccinated. Not personally at 159 00:09:23,360 --> 00:09:26,760 Speaker 1: risk of the vaccine. Most vaccines have five to ten 160 00:09:26,840 --> 00:09:28,959 Speaker 1: years of safety data. This is not MR and A 161 00:09:29,080 --> 00:09:31,400 Speaker 1: is new to the market, you know, they really use 162 00:09:31,440 --> 00:09:34,400 Speaker 1: the fog of word to get it. So considering all 163 00:09:34,480 --> 00:09:37,839 Speaker 1: of that, why would I get something that I don't need, 164 00:09:38,000 --> 00:09:40,559 Speaker 1: that's untested, that's not going to prevent the spread to 165 00:09:40,679 --> 00:09:43,360 Speaker 1: other people. Yet if you didn't get it, you were 166 00:09:43,440 --> 00:09:43,960 Speaker 1: a monster. 167 00:09:44,640 --> 00:09:47,520 Speaker 2: Yeah, and the unknown safety profile is an interesting one. 168 00:09:47,600 --> 00:09:49,319 Speaker 2: You know, how is it that so many people were 169 00:09:49,360 --> 00:09:54,760 Speaker 2: willing to trust the CDC and the FDA, you know, 170 00:09:56,480 --> 00:10:00,680 Speaker 2: with this new technology, you know, with which we had 171 00:10:00,760 --> 00:10:04,160 Speaker 2: had no prior experience, which hadn't hadn't been tested. It's 172 00:10:04,280 --> 00:10:07,800 Speaker 2: really astonishing that so many people went along with us, 173 00:10:08,200 --> 00:10:11,839 Speaker 2: much less you know, mandating it for for millions and 174 00:10:11,920 --> 00:10:14,679 Speaker 2: millions of people, you know, and let's not forget the 175 00:10:14,679 --> 00:10:17,360 Speaker 2: you know, the Biden administration initially wanted to mandate it 176 00:10:17,480 --> 00:10:21,280 Speaker 2: for every you know, medium sized in the large business 177 00:10:21,440 --> 00:10:25,280 Speaker 2: in the country. That was quickly struck down. But that 178 00:10:25,480 --> 00:10:28,439 Speaker 2: almost happened to us. But even then, their mandates on 179 00:10:28,559 --> 00:10:35,160 Speaker 2: healthcare workers and on the military and all well, I 180 00:10:35,200 --> 00:10:38,320 Speaker 2: guess employees of government, you know, they they were forced 181 00:10:38,360 --> 00:10:42,199 Speaker 2: to get it. And most universities did this to their students, 182 00:10:42,240 --> 00:10:46,480 Speaker 2: and now there's this really epidemic of myocarditis among students, 183 00:10:46,880 --> 00:10:49,600 Speaker 2: which is you know, we're completely silent about we pretend 184 00:10:49,679 --> 00:10:52,600 Speaker 2: like that's not happening. But I had, you know, professor 185 00:10:52,679 --> 00:10:54,320 Speaker 2: friends of mine who just said, look, I'm not going 186 00:10:54,400 --> 00:10:56,319 Speaker 2: to go along with this. I'm just I'm leaving, and 187 00:10:56,440 --> 00:11:00,160 Speaker 2: they they left academia and students just said, look, I'm 188 00:11:00,160 --> 00:11:02,520 Speaker 2: not I'm not going back to school, I'm out of here. 189 00:11:02,559 --> 00:11:04,280 Speaker 2: I'm not gonna I'm not going to do this. That 190 00:11:04,440 --> 00:11:09,199 Speaker 2: turns out to have been a very intelligent decision. But 191 00:11:09,800 --> 00:11:11,520 Speaker 2: in order to make that kind of decision, it took 192 00:11:11,559 --> 00:11:14,920 Speaker 2: a lot of personal courage, because you couldn't even turn 193 00:11:15,000 --> 00:11:16,920 Speaker 2: on the TV with that having people scream at you, 194 00:11:17,480 --> 00:11:19,959 Speaker 2: get vaccinate, get vaccinate. Your friends are yelling at you, 195 00:11:20,000 --> 00:11:22,440 Speaker 2: everybody's yelling at your daily papers. I mean, the whole 196 00:11:22,480 --> 00:11:25,720 Speaker 2: culture was demanding that everybody line up for their shots 197 00:11:26,040 --> 00:11:28,640 Speaker 2: without any evidence that they were going to do anything 198 00:11:28,920 --> 00:11:33,880 Speaker 2: in the pandemic. H And as you say, you know, 199 00:11:33,920 --> 00:11:38,760 Speaker 2: the demographics of this particular pathogen were so focused on 200 00:11:38,880 --> 00:11:43,120 Speaker 2: the elderly and infirm and essentially certainly no you know, 201 00:11:44,600 --> 00:11:49,920 Speaker 2: that almost invisible risk to young people, but even working 202 00:11:50,000 --> 00:11:55,840 Speaker 2: age adults, healthy adults were not ever in any risk 203 00:11:56,240 --> 00:12:01,120 Speaker 2: of medically significant consequences from this on. Just yeah, you're 204 00:12:01,160 --> 00:12:03,640 Speaker 2: gonna get sick, and that certainly I would include myself 205 00:12:03,679 --> 00:12:06,120 Speaker 2: in that. I knew for sure that I was, you know, 206 00:12:06,360 --> 00:12:09,599 Speaker 2: I would get COVID and that it was going to 207 00:12:09,640 --> 00:12:13,240 Speaker 2: be a bummer, you know. And that's sure enough what happened. 208 00:12:14,080 --> 00:12:15,920 Speaker 2: But you know, the idea that you would need a 209 00:12:16,000 --> 00:12:19,360 Speaker 2: vaccine or that you were willing to take the risk, 210 00:12:19,559 --> 00:12:22,200 Speaker 2: you know, with this new technology, it's it's all crazy. 211 00:12:22,840 --> 00:12:24,880 Speaker 2: And you know what's interesting about this too, if you 212 00:12:25,000 --> 00:12:30,160 Speaker 2: go back to twenty twenty and listen to what partisan 213 00:12:30,240 --> 00:12:34,360 Speaker 2: democrats are saying in September and October about the vaccine. 214 00:12:34,360 --> 00:12:35,679 Speaker 2: They said, you're not going to give this to me, 215 00:12:35,800 --> 00:12:38,160 Speaker 2: that's the Trump vaccine. There's no way I got to 216 00:12:38,200 --> 00:12:40,719 Speaker 2: take that. I don't want to have anything to do 217 00:12:40,800 --> 00:12:42,160 Speaker 2: with this shot. I don't know if it's what a 218 00:12:42,240 --> 00:12:45,040 Speaker 2: safety profile is. They were all saying this all over 219 00:12:45,120 --> 00:12:49,480 Speaker 2: the media, and then then the shot came out after 220 00:12:49,600 --> 00:12:52,480 Speaker 2: the election, and then suddenly, out of nowhere, all these 221 00:12:52,520 --> 00:12:55,680 Speaker 2: same people flipped in the opposite direction. They said, you're 222 00:12:56,200 --> 00:12:59,320 Speaker 2: a devil and ruining public health by not lining up 223 00:12:59,360 --> 00:13:03,040 Speaker 2: for your shot. Amazing. Did you know this too, That 224 00:13:03,480 --> 00:13:08,240 Speaker 2: Fauci directly intervened and delayed the release of the vaccines 225 00:13:08,320 --> 00:13:10,720 Speaker 2: until after the election. People don't know that, but it's 226 00:13:10,760 --> 00:13:11,960 Speaker 2: really true. It's a true story. 227 00:13:12,520 --> 00:13:18,480 Speaker 1: Take a quick commercial break back with Jeffrey Tucker. It's 228 00:13:18,559 --> 00:13:22,359 Speaker 1: hard to not look at the timeline and the sequencing 229 00:13:22,440 --> 00:13:26,000 Speaker 1: of things and not feel as if this was intentionally 230 00:13:26,120 --> 00:13:32,760 Speaker 1: weaponized to append a political election, you know, destroy a candidate, 231 00:13:32,960 --> 00:13:35,199 Speaker 1: and to control a population of people. 232 00:13:35,760 --> 00:13:39,520 Speaker 2: Yeah, and also implement you know, a wide range of 233 00:13:39,679 --> 00:13:44,520 Speaker 2: course of policies. I'm pretty sure that the intention was 234 00:13:44,640 --> 00:13:48,240 Speaker 2: to segregate every city by vaccine status and then give 235 00:13:48,320 --> 00:13:53,480 Speaker 2: us a national vaccine passport which would include all kinds 236 00:13:53,480 --> 00:13:56,560 Speaker 2: of health information, and that that would be rolled into 237 00:13:57,440 --> 00:14:00,520 Speaker 2: eventually a Chinese style social credit systems. I think that 238 00:14:00,800 --> 00:14:05,240 Speaker 2: was the goal. It didn't really work. I mean, it's 239 00:14:05,280 --> 00:14:08,440 Speaker 2: actually funny. In New York City or actually that stayed 240 00:14:08,440 --> 00:14:10,600 Speaker 2: in New York was one of the places where they 241 00:14:10,679 --> 00:14:13,959 Speaker 2: tried to play around with this digital vaccine passport, and 242 00:14:14,160 --> 00:14:16,920 Speaker 2: they never got it working right, just having spent tens 243 00:14:16,960 --> 00:14:19,480 Speaker 2: of billions of dollars on it. It really did flop. 244 00:14:20,120 --> 00:14:24,840 Speaker 1: It was unable to Unfortunately, they're too incompetent, you real, 245 00:14:26,280 --> 00:14:28,240 Speaker 1: Thank god, they're idiots. 246 00:14:28,640 --> 00:14:30,800 Speaker 2: It was so bad, you know, like if you got 247 00:14:31,480 --> 00:14:35,640 Speaker 2: if you got vaccinated in Connecticut, there was no way 248 00:14:35,920 --> 00:14:39,640 Speaker 2: for the New York app to take account to that. 249 00:14:39,760 --> 00:14:46,800 Speaker 2: I mean, it really did only accommodate New York vaccination, 250 00:14:47,200 --> 00:14:50,720 Speaker 2: so nothing, and even then it just was flaky. It 251 00:14:50,760 --> 00:14:54,120 Speaker 2: was always crashing. So yeah, they finally have taken it offline, 252 00:14:54,120 --> 00:14:56,280 Speaker 2: but I think that was the intention. It didn't work. 253 00:14:56,800 --> 00:14:58,600 Speaker 2: But you know, I don't know if you've noticed this, 254 00:14:58,720 --> 00:15:04,080 Speaker 2: but I've felt now for several years, every one why 255 00:15:04,080 --> 00:15:06,200 Speaker 2: I feel as if we've had a victory, you know, 256 00:15:06,440 --> 00:15:09,080 Speaker 2: and but I've learned not to get too cocky about 257 00:15:09,080 --> 00:15:10,840 Speaker 2: that and go, we're winning. We're going to win this 258 00:15:10,920 --> 00:15:14,680 Speaker 2: great struggle because I feel like the bad guys in 259 00:15:14,760 --> 00:15:18,160 Speaker 2: this drama look at our victories as temporary setbacks. 260 00:15:18,400 --> 00:15:18,920 Speaker 1: It's never right. 261 00:15:20,040 --> 00:15:22,400 Speaker 2: Yeah, it's never ending. This struggle is going to go 262 00:15:22,520 --> 00:15:25,000 Speaker 2: on and on. I feel like they didn't. They don't 263 00:15:25,040 --> 00:15:31,360 Speaker 2: think everything went perfectly well, but they're waiting and ready 264 00:15:31,440 --> 00:15:35,680 Speaker 2: to deploy it again. That's why you know all the 265 00:15:35,840 --> 00:15:40,040 Speaker 2: recent propaganda about you know, we've seen renewed mask mandates 266 00:15:40,200 --> 00:15:43,360 Speaker 2: and and now the FDA is a proven another booster. 267 00:15:43,480 --> 00:15:46,680 Speaker 2: And you know that and listeners should know this that 268 00:15:46,880 --> 00:15:52,040 Speaker 2: the best vaccine specialists at the FDA, the real high 269 00:15:52,200 --> 00:15:56,920 Speaker 2: end serious science is all resigned. They're gone. So you're 270 00:15:57,000 --> 00:15:59,720 Speaker 2: left now just with with bureaucrats are going to rubber 271 00:15:59,720 --> 00:16:02,600 Speaker 2: stamp anything that comes out from big pharma. And that's 272 00:16:02,760 --> 00:16:05,160 Speaker 2: that's why we got there s fe vaccine and and 273 00:16:05,640 --> 00:16:07,920 Speaker 2: and all these things, the over the over the counter, 274 00:16:08,000 --> 00:16:10,840 Speaker 2: birth control, all the stuff. And then you get another booster, 275 00:16:11,120 --> 00:16:14,840 Speaker 2: yet another you know, by variant, by valent YadA, YadA. 276 00:16:15,200 --> 00:16:18,560 Speaker 2: All this stuff is just going through as if it's nothing. 277 00:16:19,240 --> 00:16:23,040 Speaker 2: These are bureaucrats not paying any attention. They know that 278 00:16:23,480 --> 00:16:27,080 Speaker 2: that the big pharmaceutical companies pay their salary. They like 279 00:16:27,200 --> 00:16:28,960 Speaker 2: to be able to pay their mortgage and their second 280 00:16:29,000 --> 00:16:32,840 Speaker 2: mortgage and the third mortgage, and so they're going along 281 00:16:32,880 --> 00:16:36,120 Speaker 2: with the stuff just to just to for for career reasons. 282 00:16:36,640 --> 00:16:40,840 Speaker 2: The science seems to be just not even there anymore, 283 00:16:41,120 --> 00:16:45,280 Speaker 2: and nobody's even pretending it's it's all quite shocking. 284 00:16:46,000 --> 00:16:48,440 Speaker 1: Well, and that's the thing is because now we're left 285 00:16:48,800 --> 00:16:54,920 Speaker 1: in this atmosphere of distrust. And you know, I've always 286 00:16:55,040 --> 00:16:57,320 Speaker 1: just been you know, like my first couple of words 287 00:16:57,400 --> 00:17:00,560 Speaker 1: when I was younger, it was no, and then why 288 00:17:01,600 --> 00:17:06,440 Speaker 1: so like I've always been skeptical and like deeply distrustful 289 00:17:06,600 --> 00:17:09,320 Speaker 1: of those things as it you know from birth right, 290 00:17:09,440 --> 00:17:11,800 Speaker 1: this is just the way God made me. But now 291 00:17:11,920 --> 00:17:15,800 Speaker 1: it's like I don't trust anything that we're told. And now, 292 00:17:15,960 --> 00:17:19,280 Speaker 1: you know, I went from previously being you know, if 293 00:17:19,320 --> 00:17:21,440 Speaker 1: someone told me I should get vaccinated for something, I 294 00:17:21,440 --> 00:17:23,440 Speaker 1: would have been more trusting of it, probably would have 295 00:17:23,520 --> 00:17:26,040 Speaker 1: done it. Now Mike, I don't. Now I'm like, I 296 00:17:26,080 --> 00:17:28,479 Speaker 1: don't want anything. Like a nurse recently tried to get 297 00:17:28,520 --> 00:17:30,960 Speaker 1: me to get the flu vaccine about like you know, 298 00:17:31,000 --> 00:17:33,520 Speaker 1: I like Mortal Kombat, Hitor Like I was like, no, 299 00:17:33,960 --> 00:17:36,600 Speaker 1: you know, So now I don't trust any like I 300 00:17:36,680 --> 00:17:39,399 Speaker 1: mean even like I mean, it would have to be 301 00:17:40,240 --> 00:17:42,399 Speaker 1: I don't even know at this point under what circumstance 302 00:17:42,400 --> 00:17:45,320 Speaker 1: I would trust a new vaccine. If I'm being perfectly honest. 303 00:17:45,320 --> 00:17:49,719 Speaker 2: You can be perfectly honest, and I I understand your position, 304 00:17:50,000 --> 00:17:52,840 Speaker 2: and I find myself agreeing with it more and more. 305 00:17:52,880 --> 00:17:55,879 Speaker 2: And what's what's fascinating to me is that, you know, 306 00:17:56,000 --> 00:17:58,760 Speaker 2: when I started Brownstone, people started saying, oh, another anti 307 00:17:58,880 --> 00:18:05,160 Speaker 2: vax and I didn't even understand what that meant. I've 308 00:18:05,280 --> 00:18:08,119 Speaker 2: never met an anti vaccine. I didn't have any anti 309 00:18:08,200 --> 00:18:13,119 Speaker 2: vaccine feelings. I didn't think this vaccine was necessary. I 310 00:18:13,920 --> 00:18:18,320 Speaker 2: didn't imagine really that would be actually dangerous. But I 311 00:18:18,400 --> 00:18:21,119 Speaker 2: didn't have any real biases about the whole thing. I 312 00:18:21,200 --> 00:18:24,640 Speaker 2: was against the lockdowns, and I knew that masking was dumb, 313 00:18:24,720 --> 00:18:27,119 Speaker 2: and the plexi glass and the dusting with hand saturnized, 314 00:18:27,119 --> 00:18:29,560 Speaker 2: you know, this whole frenzy we went through. I thought 315 00:18:29,600 --> 00:18:32,360 Speaker 2: that was all ridiculous. But I didn't have a particular 316 00:18:32,760 --> 00:18:38,159 Speaker 2: antipathy towards the vaccine industry. But nowadays, yeah, it's really different. 317 00:18:38,200 --> 00:18:39,920 Speaker 2: I read this whole book called, I'm sure we've heard 318 00:18:39,920 --> 00:18:42,600 Speaker 2: of it, called Turtles all the Way Down, which really 319 00:18:42,720 --> 00:18:48,280 Speaker 2: examines the industry in detail and the history behind the vaccines, 320 00:18:48,359 --> 00:18:52,359 Speaker 2: and especially since nineteen day six, since all these countries 321 00:18:52,400 --> 00:18:55,720 Speaker 2: have been indemnified, you know, against any liability for harms 322 00:18:55,760 --> 00:18:59,879 Speaker 2: from their vaccines. You know, we've just seen them proliferate 323 00:19:00,400 --> 00:19:03,560 Speaker 2: like crazy. It's, as RFK says, it's a goal rush. 324 00:19:03,840 --> 00:19:07,520 Speaker 2: And now I've become gravely skeptical myself. I'm just not 325 00:19:07,720 --> 00:19:13,400 Speaker 2: sure how many people join us in this attitude. I'm 326 00:19:13,520 --> 00:19:17,840 Speaker 2: certainly more now than before, but I'm not sure. Part 327 00:19:17,840 --> 00:19:22,320 Speaker 2: of me worries that there's enough Americans that are not 328 00:19:22,640 --> 00:19:26,840 Speaker 2: sufficiently incredulous towards these things. That is going to continue 329 00:19:26,880 --> 00:19:32,280 Speaker 2: to incentivize these large pharmaceutical companies to keep cranking out 330 00:19:32,320 --> 00:19:35,040 Speaker 2: the potions, you know, just just just to keep their 331 00:19:36,040 --> 00:19:40,479 Speaker 2: sales high and their stock price, you know, from tanking. 332 00:19:41,040 --> 00:19:48,560 Speaker 1: Well, I think what worries me is this growing schism 333 00:19:48,760 --> 00:19:52,760 Speaker 1: and in separation between the people in charge and the 334 00:19:52,880 --> 00:19:56,480 Speaker 1: rest of America. And you know, for instance, you have 335 00:19:56,600 --> 00:19:59,399 Speaker 1: former head of the FDA who's now cashing in on 336 00:19:59,480 --> 00:20:02,960 Speaker 1: the Fizer board, who's on TV talking about how there's 337 00:20:03,000 --> 00:20:06,000 Speaker 1: no evidence this new variant is deadlier. However, you know 338 00:20:06,080 --> 00:20:10,840 Speaker 1: it's highly you know mutated and escaping vaccine immune systems, which, 339 00:20:11,000 --> 00:20:13,280 Speaker 1: to be honest, the other or the other the other 340 00:20:13,400 --> 00:20:17,840 Speaker 1: variants seemed pretty adept at escaping vaccine immunation, uh, you 341 00:20:17,920 --> 00:20:21,400 Speaker 1: know immunity as well. Right, So, but you know point 342 00:20:21,480 --> 00:20:25,119 Speaker 1: being is this dude's cashing in off of this pushing 343 00:20:25,240 --> 00:20:28,360 Speaker 1: fear on this new COVID variant just in time when 344 00:20:28,560 --> 00:20:30,960 Speaker 1: these vaccine manufacturers are going to be out with a 345 00:20:31,000 --> 00:20:34,040 Speaker 1: new booster. And you know, and and who can like 346 00:20:34,320 --> 00:20:36,560 Speaker 1: these people just don't care about us, right, they don't 347 00:20:36,600 --> 00:20:39,240 Speaker 1: care about the safety of what they're pushing on us. 348 00:20:39,400 --> 00:20:42,760 Speaker 1: Politicians don't care about the wreckage and the damage that 349 00:20:42,840 --> 00:20:45,639 Speaker 1: they did to so many Americans, you know, because they 350 00:20:45,760 --> 00:20:49,359 Speaker 1: were celebrating with their families for Thanksgiving, Like doctor Burks, 351 00:20:49,400 --> 00:20:51,040 Speaker 1: did you know they told you to stay at home, 352 00:20:51,440 --> 00:20:54,080 Speaker 1: but then they're hanging out with their families. They tell 353 00:20:54,119 --> 00:20:56,920 Speaker 1: you to stay at home, but then Obama's throwing ragers 354 00:20:56,960 --> 00:21:01,119 Speaker 1: in Martha's vineyard. And there's just this massive growing disconnect 355 00:21:01,200 --> 00:21:02,960 Speaker 1: with the people who are telling us what to do, 356 00:21:04,240 --> 00:21:07,480 Speaker 1: who are unscathed than the process and don't care about 357 00:21:07,480 --> 00:21:10,200 Speaker 1: the damage and the wreckage that they're leaving on the 358 00:21:10,280 --> 00:21:12,520 Speaker 1: rest of America. And like, I don't know how long 359 00:21:12,680 --> 00:21:14,919 Speaker 1: that can continue. And I think more people are waking 360 00:21:15,040 --> 00:21:17,240 Speaker 1: up to just how much bullshit it all is. 361 00:21:17,880 --> 00:21:22,240 Speaker 2: It's creepy how the public discussion of all these topics 362 00:21:22,280 --> 00:21:26,480 Speaker 2: that are dominating this little session is kind of been 363 00:21:26,520 --> 00:21:31,760 Speaker 2: shut down. I was really alarmed about the GOP debate 364 00:21:31,800 --> 00:21:34,879 Speaker 2: the other night that really none of these topics were 365 00:21:34,960 --> 00:21:38,600 Speaker 2: really discussed at all. And of course you noticed that 366 00:21:38,720 --> 00:21:42,280 Speaker 2: most of the advertisers that were backing that debate were 367 00:21:42,640 --> 00:21:45,320 Speaker 2: pharma companies. I mean, I think within the first ten minutes, 368 00:21:45,400 --> 00:21:47,920 Speaker 2: I saw four ads for FTA Proved Drugs and I thought, 369 00:21:48,000 --> 00:21:52,959 Speaker 2: h but it just wasn't a topic. I mean, your 370 00:21:53,040 --> 00:21:55,320 Speaker 2: Rond de Santis tried to bring it up, but nobody 371 00:21:55,359 --> 00:21:57,400 Speaker 2: else picked up the thread. So the thing just sort 372 00:21:57,400 --> 00:22:01,480 Speaker 2: of fizzled. And at some point the one of the 373 00:22:01,960 --> 00:22:07,439 Speaker 2: moderators asked Pence whether he feels that the Trump administration 374 00:22:07,560 --> 00:22:10,240 Speaker 2: bears some responsibility for the learning loss since the school 375 00:22:10,320 --> 00:22:13,480 Speaker 2: closures began under his administration. I set up. I was 376 00:22:13,520 --> 00:22:15,080 Speaker 2: really excited. I thought, oh, well, now we're going to 377 00:22:15,119 --> 00:22:16,800 Speaker 2: finally get some truth. Well you know what he did. 378 00:22:16,920 --> 00:22:20,080 Speaker 2: He completely ignored the question, completely ignored it, and they 379 00:22:20,160 --> 00:22:24,280 Speaker 2: never returned to it again. That was it. Now you 380 00:22:24,440 --> 00:22:27,720 Speaker 2: mentioned Scott Gottlieb. You know that guy is a piece 381 00:22:27,760 --> 00:22:32,080 Speaker 2: of work. You know, he goes on these these shows 382 00:22:32,200 --> 00:22:34,679 Speaker 2: all the time, you know, MSNBC and CNN and everything, 383 00:22:35,000 --> 00:22:39,320 Speaker 2: and that guy rattles off the most amazing just litany 384 00:22:39,359 --> 00:22:42,159 Speaker 2: of gibberish about all the new variants, and he's got 385 00:22:42,240 --> 00:22:44,600 Speaker 2: all the names down Pat New's X one, you know, 386 00:22:44,840 --> 00:22:50,479 Speaker 2: B and five in whatever. He sounds like this expert. 387 00:22:50,720 --> 00:22:53,879 Speaker 2: But people don't understand about Godlieb. You know, he was 388 00:22:55,320 --> 00:22:59,240 Speaker 2: picked to be head of the FDA in two thousand. 389 00:22:59,480 --> 00:23:02,960 Speaker 2: I guess toenty seventeen and then left immediately went to 390 00:23:03,040 --> 00:23:08,840 Speaker 2: the piz Award when when Fauci and Burks and these 391 00:23:08,840 --> 00:23:11,000 Speaker 2: people were leaning on Trump to sort of green light 392 00:23:11,080 --> 00:23:14,240 Speaker 2: the lockdowns, and this would have been the weekend of 393 00:23:16,560 --> 00:23:25,040 Speaker 2: March fourteenth and fifteenth, because Saturday and Sunday, when they 394 00:23:25,160 --> 00:23:28,280 Speaker 2: were trying to figure out just how severe the CDC 395 00:23:28,880 --> 00:23:33,520 Speaker 2: edicts should be, they got Gottlieb on the phone and 396 00:23:33,720 --> 00:23:38,000 Speaker 2: he was one of the main influences behind the initial lockdowns. 397 00:23:38,640 --> 00:23:41,600 Speaker 2: And I know this because I think Jered Christian reports 398 00:23:41,920 --> 00:23:47,120 Speaker 2: in his book, and Gottlieb said something to the gang 399 00:23:47,400 --> 00:23:52,240 Speaker 2: of people gathered there that if you think you're going 400 00:23:52,440 --> 00:23:58,359 Speaker 2: too far, then that's probably about the right amount. So 401 00:23:58,600 --> 00:24:04,000 Speaker 2: Godleeb was massively influential and shutting down your churches and 402 00:24:04,160 --> 00:24:08,440 Speaker 2: closing small businesses and closing playgrounds, and the closure of 403 00:24:08,480 --> 00:24:13,240 Speaker 2: the schools, and the capacity restrictions on homes where I 404 00:24:13,359 --> 00:24:15,159 Speaker 2: lived at the time, you couldn't have more than ten 405 00:24:15,240 --> 00:24:18,960 Speaker 2: people and your house, no matter how big it was, 406 00:24:19,720 --> 00:24:22,320 Speaker 2: So you know, weddings were off, funerals were off, everything 407 00:24:22,440 --> 00:24:26,120 Speaker 2: was off. Godly himself had a huge role in making 408 00:24:26,200 --> 00:24:27,040 Speaker 2: all that happen. 409 00:24:27,359 --> 00:24:29,760 Speaker 1: And then cash is in on all of it. With 410 00:24:29,880 --> 00:24:30,560 Speaker 1: the vaccine. 411 00:24:31,440 --> 00:24:33,959 Speaker 2: Just to put a hind point on it, he certainly 412 00:24:34,040 --> 00:24:36,680 Speaker 2: has cashed in on all of it. And if you 413 00:24:36,800 --> 00:24:39,719 Speaker 2: draw attention to the facts to him, he just blows up. 414 00:24:41,040 --> 00:24:44,000 Speaker 2: But yeah, there's a whole generation of sort of leaders 415 00:24:44,200 --> 00:24:48,680 Speaker 2: in industry and media and in politics and in academia 416 00:24:49,359 --> 00:24:52,600 Speaker 2: that really need to be called to account for what 417 00:24:52,720 --> 00:24:56,240 Speaker 2: they did to us. But it is not happening. We've 418 00:24:56,400 --> 00:24:59,080 Speaker 2: just we just have this weird silence going on. And 419 00:24:59,400 --> 00:25:03,600 Speaker 2: to your point about this disconnect between public opinion and 420 00:25:04,560 --> 00:25:10,359 Speaker 2: the ruling class sort of elites in this country, it 421 00:25:10,520 --> 00:25:13,960 Speaker 2: is growing wider by the day because everybody I know, 422 00:25:14,080 --> 00:25:16,200 Speaker 2: and really everybody in this country and billions of people 423 00:25:16,200 --> 00:25:21,399 Speaker 2: around the world, have lasting trauma, having grown out of 424 00:25:21,880 --> 00:25:24,440 Speaker 2: the calamity of the last three and a half years, 425 00:25:24,480 --> 00:25:27,439 Speaker 2: and we all know about it. We're all seeking answers. 426 00:25:27,520 --> 00:25:29,720 Speaker 2: We want to know what were you thinking? You know, 427 00:25:29,840 --> 00:25:32,640 Speaker 2: who did this? And why what happened to our bill 428 00:25:32,640 --> 00:25:35,200 Speaker 2: of rights? We have all these burning questions. We're not 429 00:25:35,400 --> 00:25:38,399 Speaker 2: getting answers to them. And meanwhile, all the sort of 430 00:25:40,280 --> 00:25:44,359 Speaker 2: official molders of the public mind are pretending like this 431 00:25:44,560 --> 00:25:45,159 Speaker 2: never happened. 432 00:25:45,400 --> 00:25:49,000 Speaker 1: There's also not been an accounting or truth telling about 433 00:25:49,000 --> 00:25:51,560 Speaker 1: the amount of damage that this has done to so 434 00:25:51,720 --> 00:25:54,119 Speaker 1: many lives, in the sense of people who died of 435 00:25:54,280 --> 00:25:58,960 Speaker 1: overdoses from depression or loneliness, suicides from depression, of being 436 00:25:59,040 --> 00:26:02,040 Speaker 1: locked in people's homes, losing their jobs, not being able 437 00:26:02,080 --> 00:26:05,200 Speaker 1: to go into work, being denied a purpose in life. 438 00:26:05,320 --> 00:26:09,000 Speaker 1: You know, family members who died alone, funerals that were 439 00:26:09,160 --> 00:26:12,080 Speaker 1: unattended because they were not you know, family members are 440 00:26:12,080 --> 00:26:14,960 Speaker 1: not allowed to tend people who've lost businesses, you know, 441 00:26:15,000 --> 00:26:18,280 Speaker 1: people who've lost their livelihoods. It's like there just hasn't 442 00:26:18,440 --> 00:26:23,159 Speaker 1: been a full accounting, a real attempt to just truly 443 00:26:23,280 --> 00:26:27,399 Speaker 1: get to the bottom of the damage and the destruction 444 00:26:27,680 --> 00:26:31,440 Speaker 1: and the wreckage that these government policies, not COVID, but 445 00:26:31,600 --> 00:26:34,280 Speaker 1: government policies have destroyed lives. 446 00:26:34,920 --> 00:26:38,360 Speaker 2: The learning losses, you know, a whole generation of high 447 00:26:38,359 --> 00:26:42,760 Speaker 2: school students graduating, you know, with with unable to really 448 00:26:43,600 --> 00:26:47,959 Speaker 2: wouldn't count as literate by any historical standard. I mean, 449 00:26:48,000 --> 00:26:51,680 Speaker 2: the number of families that were just were separated from 450 00:26:51,720 --> 00:26:56,720 Speaker 2: the travel restrictions, the divorces that took place, you know, 451 00:26:57,359 --> 00:27:00,800 Speaker 2: over arguments about whether the vaccinates to children. I mean, 452 00:27:00,840 --> 00:27:04,359 Speaker 2: I know many cases of that. The whole vaccination question 453 00:27:04,560 --> 00:27:12,600 Speaker 2: just broke up civic groups and families and churches and bands, 454 00:27:12,960 --> 00:27:15,720 Speaker 2: and the same thing with masking. You know that that 455 00:27:15,880 --> 00:27:17,880 Speaker 2: was a brutal period too. It's like, where's your mask? 456 00:27:17,880 --> 00:27:19,800 Speaker 2: Where's your mask? Well, I don't think they really worked. Well, 457 00:27:19,880 --> 00:27:23,480 Speaker 2: screw you. I mean it was the most divisive and 458 00:27:23,640 --> 00:27:28,680 Speaker 2: culturally destructive period that I've ever seen in my life. 459 00:27:28,720 --> 00:27:31,920 Speaker 2: And everybody has a story. There's I don't think there's 460 00:27:31,960 --> 00:27:36,000 Speaker 2: any exceptions this. People have such sad stories to tell 461 00:27:36,000 --> 00:27:37,720 Speaker 2: over the last three years, and You're right, there's just 462 00:27:37,920 --> 00:27:41,240 Speaker 2: not been a serious reckoning, and I you know, I 463 00:27:41,359 --> 00:27:43,359 Speaker 2: don't entirely know what to do about it. I really 464 00:27:43,440 --> 00:27:45,960 Speaker 2: hope the debates the other night we're going to get 465 00:27:46,000 --> 00:27:48,560 Speaker 2: some honesty and truth about this. Instead the moderators just 466 00:27:48,880 --> 00:27:54,000 Speaker 2: just just pretended like the whole thing didn't really happen, 467 00:27:54,440 --> 00:27:59,520 Speaker 2: and it's tremendously troubling. I have an article this morning 468 00:27:59,560 --> 00:28:04,800 Speaker 2: on Brown called the Great game of Let's pretend something 469 00:28:04,880 --> 00:28:08,000 Speaker 2: like that, and it really is, let's pretend that this 470 00:28:08,160 --> 00:28:11,840 Speaker 2: never happened. That there's no real crisis. And if you 471 00:28:12,000 --> 00:28:15,320 Speaker 2: think about the things that are vexing us right now 472 00:28:15,400 --> 00:28:18,920 Speaker 2: in this country, like this inflation, you know, twenty thirty 473 00:28:19,000 --> 00:28:23,280 Speaker 2: percent in three years in grocery prices, in the housing inflation, 474 00:28:23,520 --> 00:28:25,639 Speaker 2: and all the things that are wiping that have wiped 475 00:28:25,680 --> 00:28:30,040 Speaker 2: out middle class prosperity. Those all trace to policies pursued 476 00:28:30,080 --> 00:28:35,639 Speaker 2: in the name of of COVID controls and the status 477 00:28:36,160 --> 00:28:40,760 Speaker 2: of major cities in this country, from Seattle to Portland, 478 00:28:40,960 --> 00:28:45,080 Speaker 2: New York City, at Chicago and Boston, Hartford and so on. 479 00:28:46,200 --> 00:28:49,000 Speaker 2: It's these cities are falling apart. People are not going 480 00:28:49,080 --> 00:28:54,680 Speaker 2: back to work, Petty crime has taken over New York, 481 00:28:55,160 --> 00:28:59,720 Speaker 2: and every major city smells like weed, you know, because 482 00:28:59,760 --> 00:29:03,240 Speaker 2: of all the substances that people turn to just to 483 00:29:03,320 --> 00:29:06,960 Speaker 2: get through things. I mean, it's it's it's maybe not 484 00:29:07,120 --> 00:29:11,120 Speaker 2: quite apocalyptic, but it certainly headed that way. And yeah, 485 00:29:11,200 --> 00:29:14,920 Speaker 2: we need some honesty and truth about this. I really hoped, 486 00:29:15,480 --> 00:29:19,440 Speaker 2: beginning in March twenty twenty, that there would but in 487 00:29:19,600 --> 00:29:21,760 Speaker 2: quickly and that everybody would apologize and we'd go on 488 00:29:21,920 --> 00:29:24,280 Speaker 2: with our lives and never do it again. That has 489 00:29:24,360 --> 00:29:24,880 Speaker 2: not happened. 490 00:29:25,120 --> 00:29:27,160 Speaker 1: Well, Omicron was the best thing that happened to this 491 00:29:27,280 --> 00:29:30,160 Speaker 1: country because I think it deprogrammed people who still thought 492 00:29:30,240 --> 00:29:32,880 Speaker 1: they could outrun an outrunnable virus. But to your point, 493 00:29:32,960 --> 00:29:34,760 Speaker 1: you know, we've talked a lot in the past sense, 494 00:29:34,800 --> 00:29:36,720 Speaker 1: and this is in the present sense, and you know, 495 00:29:36,880 --> 00:29:40,160 Speaker 1: and with inflation and the wreckage done to the economy 496 00:29:40,240 --> 00:29:41,800 Speaker 1: that we're going to be continuing to deal with for 497 00:29:41,920 --> 00:29:44,520 Speaker 1: god knows how long, the loss of freedom that you know, 498 00:29:44,600 --> 00:29:46,800 Speaker 1: we may never get back in this country. And also 499 00:29:46,840 --> 00:29:49,200 Speaker 1: I just think the destruction of the soul of the 500 00:29:49,320 --> 00:29:52,280 Speaker 1: country as well as the soul of so many Americans. 501 00:29:52,320 --> 00:29:54,760 Speaker 1: I mean, it just seems like we have more broken 502 00:29:54,920 --> 00:29:58,400 Speaker 1: people that we have ever had before as a result 503 00:29:58,480 --> 00:30:02,400 Speaker 1: of lockdowns and the fee and the turning neighbors against 504 00:30:02,480 --> 00:30:05,360 Speaker 1: neighbors and the other ring of people. It just seems 505 00:30:05,440 --> 00:30:09,840 Speaker 1: like we are a broken nation with broken people. And 506 00:30:11,160 --> 00:30:14,120 Speaker 1: maybe we've always been, but it has definitely gotten worse 507 00:30:14,760 --> 00:30:18,880 Speaker 1: since COVID and since the government did this to our country. 508 00:30:19,160 --> 00:30:22,800 Speaker 2: The whole theme of the United States was believed all 509 00:30:22,840 --> 00:30:25,880 Speaker 2: over the world is this idea of freedom, and it 510 00:30:26,040 --> 00:30:28,840 Speaker 2: was instantiated in the idea of limited government with the 511 00:30:28,880 --> 00:30:31,920 Speaker 2: Constitution and guaranteed through the Bill of Rights. I mean, 512 00:30:31,960 --> 00:30:35,200 Speaker 2: that is the theme of American history. That's our great 513 00:30:35,280 --> 00:30:38,560 Speaker 2: contribution to the world. Everybody looks in the United States 514 00:30:38,680 --> 00:30:41,440 Speaker 2: for what freedom is and what it feels like, and 515 00:30:41,520 --> 00:30:43,440 Speaker 2: it's built the greatest nation in history and so on. 516 00:30:44,840 --> 00:30:46,800 Speaker 2: Then we just just decided to get rid of it 517 00:30:46,880 --> 00:30:49,200 Speaker 2: one day. And look what it did. It just utterly 518 00:30:49,240 --> 00:30:52,360 Speaker 2: You're exactly right. It crushed the soul of this country. 519 00:30:53,040 --> 00:30:56,080 Speaker 2: It robbed us of even things like, you know, our 520 00:30:56,200 --> 00:31:00,560 Speaker 2: religious freedom. I was talking to a east friend of 521 00:31:00,600 --> 00:31:03,560 Speaker 2: mine the other day in the Midwest, and we were 522 00:31:03,600 --> 00:31:06,520 Speaker 2: talking about just how shocking it was that for how 523 00:31:06,600 --> 00:31:09,680 Speaker 2: long the church has closed, and then the churches, you know, 524 00:31:09,800 --> 00:31:11,960 Speaker 2: mask their parishioners, and then you know that you know, 525 00:31:12,600 --> 00:31:15,720 Speaker 2: even many many imposed vaccine restrictions. But he was talking 526 00:31:15,760 --> 00:31:18,160 Speaker 2: about what it was like in Easter of twenty twenty, 527 00:31:20,080 --> 00:31:22,320 Speaker 2: all the churches were closing. He just had some sense 528 00:31:22,360 --> 00:31:25,640 Speaker 2: that he didn't go into the priesthood to close his 529 00:31:26,240 --> 00:31:28,600 Speaker 2: church to his parishoners on Holy Week in Easter. He 530 00:31:29,080 --> 00:31:32,120 Speaker 2: just felt like that was not right, and so he 531 00:31:32,280 --> 00:31:35,760 Speaker 2: went to his bishop and he said, look, I'm going 532 00:31:35,800 --> 00:31:37,640 Speaker 2: to open my church and the bishop said, well, you 533 00:31:37,760 --> 00:31:42,880 Speaker 2: can't do that. I absolutely forbid it. And my priest 534 00:31:42,920 --> 00:31:44,600 Speaker 2: friend friend said, well, you know what, I'm going to 535 00:31:44,640 --> 00:31:51,640 Speaker 2: do it anyway, and you can just fire me if 536 00:31:51,680 --> 00:31:54,520 Speaker 2: you want to, but I'm going to do my religious duty. 537 00:31:55,320 --> 00:31:59,840 Speaker 2: And the bishop said, well, you're just you're just pretending, 538 00:32:00,120 --> 00:32:02,600 Speaker 2: not really gonna. You're not gonna let me just fire you. 539 00:32:03,280 --> 00:32:05,800 Speaker 2: And the priest said, look, just try me. I mean, 540 00:32:07,000 --> 00:32:09,200 Speaker 2: this is my vocation. There's my whole life. If I 541 00:32:09,240 --> 00:32:12,520 Speaker 2: don't celebrate Mass on Easter for my parishioners, what's my 542 00:32:12,640 --> 00:32:16,560 Speaker 2: life worth? And the priests and the bishop never gave 543 00:32:16,640 --> 00:32:21,160 Speaker 2: him permission, but then also stopped threatening him. So when 544 00:32:21,240 --> 00:32:28,040 Speaker 2: the time came, to avoid the media eyes and to 545 00:32:28,120 --> 00:32:32,240 Speaker 2: avoid local government officials, he turned the lights extremely low 546 00:32:32,440 --> 00:32:37,080 Speaker 2: in the in his church and spread the word quietly 547 00:32:37,160 --> 00:32:41,080 Speaker 2: throughout his whole congregation that you can come celebrate Holy 548 00:32:41,280 --> 00:32:44,240 Speaker 2: Week services and Easter, but come in the back interest 549 00:32:44,560 --> 00:32:48,320 Speaker 2: and entrants so that the media cameras wouldn't be able 550 00:32:48,320 --> 00:32:50,360 Speaker 2: to see, and park, you know, several blocks away, and 551 00:32:50,440 --> 00:32:54,080 Speaker 2: scatter your cars out. And they did, and they came 552 00:32:54,160 --> 00:32:59,000 Speaker 2: in and had really completely packed church for that for 553 00:32:59,120 --> 00:33:03,560 Speaker 2: those services. But he had to do it surreptitiously. It's 554 00:33:03,600 --> 00:33:08,120 Speaker 2: an extraordinary story because it seems simply incredible that something 555 00:33:08,200 --> 00:33:09,880 Speaker 2: like that would have happened in the United States, a 556 00:33:09,920 --> 00:33:14,720 Speaker 2: country that really gave this gift of religious liberty to 557 00:33:14,800 --> 00:33:18,000 Speaker 2: the world. You know, we're the greatest practitioners of that. 558 00:33:18,800 --> 00:33:20,760 Speaker 2: We put it in our First Amendment, and then just 559 00:33:20,880 --> 00:33:22,440 Speaker 2: one day, boom, it was gone. 560 00:33:23,120 --> 00:33:27,120 Speaker 1: But it was perfectly fine to exercise your First Amendment. 561 00:33:27,240 --> 00:33:30,560 Speaker 1: If you're writing burning buildings down in the streets, that 562 00:33:30,760 --> 00:33:33,800 Speaker 1: was fine. But God forbid you want to go to church, 563 00:33:34,240 --> 00:33:40,200 Speaker 1: quick break, stay with us. I actually don't know your politics, 564 00:33:40,280 --> 00:33:43,720 Speaker 1: which is probably a good thing, but I mean, we 565 00:33:43,800 --> 00:33:48,719 Speaker 1: all know where Joe Biden has stood on lockdowns and vaccines, 566 00:33:48,800 --> 00:33:51,320 Speaker 1: and you know, so we all know his record. If 567 00:33:51,320 --> 00:33:55,760 Speaker 1: you had assess some of the Republican front runners, when 568 00:33:55,760 --> 00:33:57,800 Speaker 1: you look at Trump, when you look at Disanta's or 569 00:33:57,840 --> 00:34:02,120 Speaker 1: you look at vi Vague, how do you assess their 570 00:34:02,400 --> 00:34:07,720 Speaker 1: response to COVID and you know what, you might think 571 00:34:07,800 --> 00:34:11,080 Speaker 1: they might handle something heading down the pike if, if 572 00:34:11,320 --> 00:34:12,879 Speaker 1: God forbid, they do this again. 573 00:34:13,120 --> 00:34:16,120 Speaker 2: I have big thoughts on that. So, speaking of Biden, 574 00:34:16,160 --> 00:34:18,799 Speaker 2: by the way, I really had every hope yes, I'm 575 00:34:18,920 --> 00:34:21,520 Speaker 2: very naive. I had very hope, every hope that after 576 00:34:21,560 --> 00:34:24,719 Speaker 2: the inauguration he would just say, well, we got the vaccine, 577 00:34:24,880 --> 00:34:26,960 Speaker 2: we went to this COVID thing, and now let's just 578 00:34:27,040 --> 00:34:30,080 Speaker 2: go back to normal. He didn't. He went the opposite way. 579 00:34:30,239 --> 00:34:32,799 Speaker 2: He's the one who gave us the mask mandates, right, 580 00:34:32,880 --> 00:34:35,879 Speaker 2: remember those where you couldn't ride a bus or get 581 00:34:35,920 --> 00:34:38,000 Speaker 2: on the plane without it, and people are screaming at 582 00:34:38,040 --> 00:34:41,200 Speaker 2: you get that mask over here, and now I was well, yeah, 583 00:34:41,239 --> 00:34:44,880 Speaker 2: but on the other hand, I have to breathe. And 584 00:34:45,000 --> 00:34:47,520 Speaker 2: then you know, then he gave us the vaccine mandates. 585 00:34:47,560 --> 00:34:50,360 Speaker 2: So he made everything much worse. Now in terms of 586 00:34:50,719 --> 00:34:56,920 Speaker 2: the GP people, you know, the did not perform very well, 587 00:34:57,800 --> 00:35:01,239 Speaker 2: but among them all and Vivac is an interesting case 588 00:35:01,280 --> 00:35:03,439 Speaker 2: because he's a good friend of mine, by the way, 589 00:35:03,719 --> 00:35:08,440 Speaker 2: and we were talking all the time before he became president, 590 00:35:08,640 --> 00:35:13,640 Speaker 2: and he talks now, you know, just a great game 591 00:35:13,760 --> 00:35:17,920 Speaker 2: on all this stuff. However, his book that's out there 592 00:35:18,000 --> 00:35:23,240 Speaker 2: called The Nation of Victims is not against these controls. 593 00:35:23,239 --> 00:35:27,400 Speaker 2: I mean, he was celebrating the vaccines and he was not. 594 00:35:28,160 --> 00:35:30,680 Speaker 2: He never really was against the lockdowns, that sort of thing. 595 00:35:30,719 --> 00:35:32,239 Speaker 2: I think he's had a change of heart, and I 596 00:35:32,360 --> 00:35:36,320 Speaker 2: have to trust that he's right about that. So now DeSantis, 597 00:35:38,719 --> 00:35:41,440 Speaker 2: of all the governors, well the best governor in the country, 598 00:35:41,600 --> 00:35:44,560 Speaker 2: hands down, it was Christino of South Dakota. 599 00:35:45,120 --> 00:35:49,040 Speaker 1: And she's she's the population in South Dakota is a 600 00:35:49,120 --> 00:35:51,200 Speaker 1: little bit different than some of these other you know, 601 00:35:51,400 --> 00:35:54,960 Speaker 1: than like Georgia for Kemp or even Florida for DeSantis. 602 00:35:55,080 --> 00:35:57,319 Speaker 1: Do you think, I mean, does that have a role 603 00:35:57,400 --> 00:35:58,880 Speaker 1: in it? Or am I no? 604 00:35:59,040 --> 00:36:01,720 Speaker 2: I mean she made that decision because she really didn't 605 00:36:01,719 --> 00:36:04,399 Speaker 2: believe that she as governor had the power to shut 606 00:36:04,440 --> 00:36:06,200 Speaker 2: down business as a church is that sort of thing, 607 00:36:06,239 --> 00:36:08,920 Speaker 2: And she was incredulous in the beginning, just and they 608 00:36:08,960 --> 00:36:13,520 Speaker 2: have you know, yeah, it's not a tremendously dense population, 609 00:36:13,640 --> 00:36:16,120 Speaker 2: but that's real city is in normal life, and that 610 00:36:16,200 --> 00:36:19,680 Speaker 2: sort she just wouldn't go along. Why she was allowed 611 00:36:19,680 --> 00:36:21,920 Speaker 2: to get away with that, you know, I have some 612 00:36:22,160 --> 00:36:24,120 Speaker 2: sense I wonder if she were here, if she would 613 00:36:24,120 --> 00:36:26,360 Speaker 2: agree with me that a large large parts of this 614 00:36:26,440 --> 00:36:29,000 Speaker 2: country just hear the name South Dakota and go, hey, 615 00:36:29,480 --> 00:36:34,440 Speaker 2: who cares? You know, it's just a state that doesn't 616 00:36:34,520 --> 00:36:36,839 Speaker 2: matter a lot in people's minds. So somehow she got 617 00:36:36,880 --> 00:36:39,920 Speaker 2: away with it. The very next state to open up was, 618 00:36:39,960 --> 00:36:45,560 Speaker 2: of course Georgia, with with Kemp who started who got 619 00:36:45,640 --> 00:36:49,560 Speaker 2: crucified by the Trump administration particularly. But and the other 620 00:36:49,760 --> 00:36:53,719 Speaker 2: thing about the Georgia case is that there are a 621 00:36:53,880 --> 00:36:58,760 Speaker 2: lot of local lockdowns in Georgia that he couldn't really control, 622 00:36:58,840 --> 00:37:01,319 Speaker 2: but as a state he just he said, look, I'm 623 00:37:01,320 --> 00:37:04,800 Speaker 2: sick of this these code regulations. The very next one was, 624 00:37:04,880 --> 00:37:11,600 Speaker 2: of course DeSantis, and DeSantis has tremendous regrets about ever 625 00:37:11,719 --> 00:37:13,919 Speaker 2: having gone along with any lockdowns, and he's the one 626 00:37:14,080 --> 00:37:16,879 Speaker 2: governor in the country that actually apologized to his people 627 00:37:16,920 --> 00:37:19,800 Speaker 2: forever having lockdown and he did. He did close some beaches, 628 00:37:19,840 --> 00:37:22,680 Speaker 2: and he did he did close some of the stories 629 00:37:22,719 --> 00:37:24,680 Speaker 2: for a time, maybe a few weeks, and that sort 630 00:37:24,680 --> 00:37:29,080 Speaker 2: of thing. Bye, I would say bye bye. Certainly, by 631 00:37:29,160 --> 00:37:33,480 Speaker 2: May he had lost all interest in lockdowns and the 632 00:37:33,560 --> 00:37:36,560 Speaker 2: spring break was, you know, in Florida was full. And 633 00:37:36,640 --> 00:37:41,719 Speaker 2: then he really leaned in and started reading the scientific 634 00:37:42,120 --> 00:37:44,840 Speaker 2: papers on his own and coming to his own judgments. 635 00:37:44,920 --> 00:37:49,839 Speaker 2: He got a new group of advisors, many of whom 636 00:37:49,840 --> 00:37:53,640 Speaker 2: were my friends, and they really coached him on this 637 00:37:53,800 --> 00:37:57,080 Speaker 2: idea of focused protection and just encouraging people to just 638 00:37:57,160 --> 00:37:59,960 Speaker 2: go about their lives. But you know, if you're elderly, 639 00:38:00,000 --> 00:38:01,920 Speaker 2: if you're actually vulnerable, then be careful in that sort 640 00:38:01,960 --> 00:38:04,440 Speaker 2: of thing. So he had over all the best policies, 641 00:38:04,520 --> 00:38:07,960 Speaker 2: and he's the most conversant in the issue. And also, 642 00:38:08,120 --> 00:38:11,239 Speaker 2: Florida today is the only state in the country that 643 00:38:11,600 --> 00:38:16,960 Speaker 2: has legislation against lockdown. It's like, you know, there's a 644 00:38:17,160 --> 00:38:21,920 Speaker 2: law in Florida that you cannot lockdown and you cannot 645 00:38:21,920 --> 00:38:27,960 Speaker 2: impose mask mandates, you cannot impose a vaccine mandates. So 646 00:38:28,120 --> 00:38:30,759 Speaker 2: that's true. It's the only state forwards that's true. And 647 00:38:30,800 --> 00:38:33,279 Speaker 2: so I think descientists, among all of them, is the 648 00:38:33,360 --> 00:38:37,560 Speaker 2: most scientifically literate, the most passionate on the subject, and 649 00:38:37,680 --> 00:38:41,640 Speaker 2: the one most determined to prevent ever having a lockdown again. 650 00:38:41,800 --> 00:38:45,560 Speaker 2: And so of the of all the people in the running, 651 00:38:45,960 --> 00:38:48,960 Speaker 2: he's the one that I think is most trustworthy on 652 00:38:49,040 --> 00:38:51,640 Speaker 2: the topic, despite some missteps in the early early times. 653 00:38:52,360 --> 00:38:59,320 Speaker 2: Now let me just speak to the Trump issue. It's 654 00:38:59,560 --> 00:39:02,920 Speaker 2: a little vertifying to me that he's never really come 655 00:39:03,000 --> 00:39:05,040 Speaker 2: to terms with his role in this whole thing. He 656 00:39:05,160 --> 00:39:09,120 Speaker 2: swears he did everything right. It should it's obvious even 657 00:39:09,200 --> 00:39:12,479 Speaker 2: to his most strongest supporters that that is not true, 658 00:39:13,080 --> 00:39:15,560 Speaker 2: and I really do think it's up to Trump to 659 00:39:15,760 --> 00:39:18,560 Speaker 2: give us a real accounting of exactly what happened. You know, 660 00:39:18,760 --> 00:39:21,560 Speaker 2: on March ninth, twenty twenty, he was posting this as 661 00:39:21,600 --> 00:39:24,359 Speaker 2: a flu. It's gonna come, it's gonna go. We're gonna 662 00:39:24,400 --> 00:39:26,799 Speaker 2: be fine. We don't shut things down for the flu. 663 00:39:28,040 --> 00:39:31,200 Speaker 2: On the eleventh, he changed his mind, so he sent 664 00:39:31,280 --> 00:39:33,200 Speaker 2: out a tweet and said, we'll use all the whole 665 00:39:33,640 --> 00:39:37,200 Speaker 2: whole government response to battle and defeat this virus. So 666 00:39:37,320 --> 00:39:42,359 Speaker 2: he flipped on March tenth thereabout, and he's never really 667 00:39:42,480 --> 00:39:46,640 Speaker 2: explained to anybody what it is that happened that caused 668 00:39:46,719 --> 00:39:50,560 Speaker 2: him to change his mind and when precisely he lost 669 00:39:52,600 --> 00:39:55,399 Speaker 2: confidence that these sort of lockdowns were a good thing. 670 00:39:56,320 --> 00:39:59,879 Speaker 2: Deborah Burgh reports that after April first, he stopped talking 671 00:40:00,080 --> 00:40:05,040 Speaker 2: to her, that he was actually angry, and it really 672 00:40:05,080 --> 00:40:08,120 Speaker 2: took him several months. But even as late as June 673 00:40:08,200 --> 00:40:10,440 Speaker 2: and July, he was tweeting out that Sweden didn't do 674 00:40:10,480 --> 00:40:12,240 Speaker 2: it the right way. They should have locked down, because 675 00:40:12,280 --> 00:40:15,920 Speaker 2: we know that's not true. By August, Scott Outless had 676 00:40:16,000 --> 00:40:19,320 Speaker 2: arrived in Washington and they were hanging out, you know, 677 00:40:20,160 --> 00:40:23,320 Speaker 2: every day, they were watching movies together in the evenings. 678 00:40:24,080 --> 00:40:27,520 Speaker 2: They became best friends, eating meals together, and Scott Outless 679 00:40:27,560 --> 00:40:31,839 Speaker 2: gave him a tutorial and urology and epidemiology and talked 680 00:40:31,920 --> 00:40:36,000 Speaker 2: him through the authentic science of this thing, and Trump 681 00:40:36,120 --> 00:40:38,960 Speaker 2: changed his mind completely. And that was when he started 682 00:40:39,400 --> 00:40:42,680 Speaker 2: telling everybody to open up. But it's all very strange. 683 00:40:42,719 --> 00:40:45,239 Speaker 2: He never got rid of the emergency declarations, and he 684 00:40:45,360 --> 00:40:47,759 Speaker 2: never issued any kind of executive order to open up, 685 00:40:47,880 --> 00:40:52,120 Speaker 2: and he never really got control of the CDC and 686 00:40:52,200 --> 00:40:56,520 Speaker 2: the NIH and Fauci's little regime. So it was it 687 00:40:56,640 --> 00:40:59,759 Speaker 2: was all a little bit mystifying, but I would say 688 00:40:59,760 --> 00:41:02,880 Speaker 2: it really ruined his last year of the Trump presidency. 689 00:41:03,840 --> 00:41:06,840 Speaker 2: And then let's also remember that all the problems with 690 00:41:06,960 --> 00:41:11,440 Speaker 2: mail in ballots began with the COVID controls. Do you 691 00:41:11,440 --> 00:41:15,520 Speaker 2: remember that. Yeah, So you know, if you think the 692 00:41:15,560 --> 00:41:18,400 Speaker 2: election was stolen, I mean, one of the major contributing 693 00:41:18,480 --> 00:41:21,760 Speaker 2: factors to that whole thing was the mail in ballots. 694 00:41:21,800 --> 00:41:24,080 Speaker 2: And all the confusion over that whole thing, well that 695 00:41:24,320 --> 00:41:27,160 Speaker 2: was all unleashed as a result of COVID controls. So 696 00:41:28,800 --> 00:41:31,920 Speaker 2: you know, he bears some responsibility for this himself. So 697 00:41:32,040 --> 00:41:34,760 Speaker 2: I would just like to see him speak honestly and openly. 698 00:41:34,920 --> 00:41:37,320 Speaker 2: I hoped that Tucker Carlsoner was going to do that 699 00:41:37,400 --> 00:41:39,080 Speaker 2: the other night, but he didn't. 700 00:41:39,320 --> 00:41:41,279 Speaker 1: I've got to take a quick break more on the 701 00:41:41,360 --> 00:41:47,680 Speaker 1: COVID craziness. Yeah, there's not been a lot of accountability 702 00:41:47,760 --> 00:41:50,240 Speaker 1: yet with the Republican candidates of really getting the bottom 703 00:41:50,280 --> 00:41:52,800 Speaker 1: of this stuff, which is, you know, sad, because this 704 00:41:52,960 --> 00:41:55,440 Speaker 1: is probably one of the most defining moments, if not 705 00:41:55,600 --> 00:41:58,640 Speaker 1: the defining moment in our lifetimes. You know, you've actually 706 00:41:58,680 --> 00:42:00,600 Speaker 1: you opened my eyes to Christine. Know. I think I've 707 00:42:00,640 --> 00:42:02,600 Speaker 1: been tough on her, and it was ever since she 708 00:42:02,760 --> 00:42:06,319 Speaker 1: cave to the NCAA initially on women's sports. I think 709 00:42:06,360 --> 00:42:08,200 Speaker 1: I kind of just like she lost me after that, 710 00:42:08,360 --> 00:42:11,160 Speaker 1: and so I think I probably have not given her 711 00:42:11,239 --> 00:42:14,880 Speaker 1: the recognition she deserves on COVID as a result of that. 712 00:42:15,000 --> 00:42:16,080 Speaker 1: So I've probably been unfair. 713 00:42:16,719 --> 00:42:20,200 Speaker 2: Yeah, she's she's good now. People in South Dakota tell 714 00:42:20,280 --> 00:42:23,440 Speaker 2: me that you can give her too much credit. That actually, 715 00:42:23,520 --> 00:42:26,400 Speaker 2: in fact, she faced a tremendous amount of pressure from 716 00:42:27,280 --> 00:42:32,399 Speaker 2: her own state legislature to not lockdown that and I've 717 00:42:32,440 --> 00:42:35,120 Speaker 2: seen these she was initially inclined to lockdown and go 718 00:42:35,160 --> 00:42:37,879 Speaker 2: along with CDC, and then the state legislature said, there's 719 00:42:37,960 --> 00:42:39,920 Speaker 2: no way you're not gonna You're not gonna do that 720 00:42:40,080 --> 00:42:42,920 Speaker 2: here in South Dakota. So then she backed off. But 721 00:42:43,080 --> 00:42:45,360 Speaker 2: still she was good. She was good. She deserves a 722 00:42:45,400 --> 00:42:45,880 Speaker 2: lot of credit. 723 00:42:46,440 --> 00:42:49,400 Speaker 1: Before we go, you had posted something I think it 724 00:42:49,440 --> 00:42:52,080 Speaker 1: was yesterday or something. I gave it a retweet because 725 00:42:52,400 --> 00:42:55,239 Speaker 1: there were so many people, like so many doctors that 726 00:42:55,400 --> 00:43:00,520 Speaker 1: took such personal hits to their reputations for telling the truth. 727 00:43:00,640 --> 00:43:03,680 Speaker 1: You know, Jay Baticharia, doctor Atlas, Martin Colder, I mean 728 00:43:03,719 --> 00:43:06,000 Speaker 1: they're colder. For like, there was a long list of 729 00:43:06,040 --> 00:43:09,600 Speaker 1: people Martin McCarey who were truth tellers during all of this, 730 00:43:09,880 --> 00:43:12,520 Speaker 1: and he posted a column from doctor John E. Neides 731 00:43:13,120 --> 00:43:17,200 Speaker 1: of Stanford. He's a world renowned epidemiologist. He wrote in 732 00:43:17,280 --> 00:43:19,400 Speaker 1: Harvey Risch, I mean, there's so many people that you know, 733 00:43:19,960 --> 00:43:22,239 Speaker 1: you can name that were really just brave and truth 734 00:43:22,280 --> 00:43:25,160 Speaker 1: tellers and all of this. But doctor John E. Neides 735 00:43:25,160 --> 00:43:28,520 Speaker 1: wrote this up ed in stat News at the very beginning, 736 00:43:28,680 --> 00:43:31,840 Speaker 1: right after the lockdowns. He totally reshaped my thinking on 737 00:43:32,040 --> 00:43:34,399 Speaker 1: all of this. He opened my eyes and then since 738 00:43:34,480 --> 00:43:37,320 Speaker 1: then I looked at this as a totally different person. 739 00:43:38,040 --> 00:43:40,520 Speaker 1: He was kind enough to answer questions that I sent him. 740 00:43:40,680 --> 00:43:42,960 Speaker 1: You know, I did my best to get his word out, 741 00:43:43,040 --> 00:43:45,759 Speaker 1: you know, roteap ed in the hill, trying to try 742 00:43:45,840 --> 00:43:48,080 Speaker 1: to push this out to the public as much as 743 00:43:48,120 --> 00:43:50,920 Speaker 1: I could. But the sad thing is he was right 744 00:43:50,960 --> 00:43:54,480 Speaker 1: about everything from the very beginning. 745 00:43:54,560 --> 00:43:57,880 Speaker 2: Uh LISSI you did this in March, in April of 746 00:43:57,960 --> 00:43:58,760 Speaker 2: twenty twenty. 747 00:43:58,880 --> 00:44:00,880 Speaker 1: Yep, at the very beginning of all this. Because I 748 00:44:00,960 --> 00:44:02,759 Speaker 1: read his I read his up ed and I said, 749 00:44:02,800 --> 00:44:05,879 Speaker 1: you know what, this guy's the old because I worked 750 00:44:05,920 --> 00:44:08,480 Speaker 1: in polling before, and so I've worked in data. I've 751 00:44:08,600 --> 00:44:10,759 Speaker 1: you know, this is like my backgrounds in politics, but 752 00:44:10,800 --> 00:44:12,640 Speaker 1: I've also I worked as a vice president pulling for 753 00:44:12,680 --> 00:44:14,200 Speaker 1: a period of time, so I you know, data is 754 00:44:14,239 --> 00:44:17,520 Speaker 1: something that registers with me. And his obed just made 755 00:44:17,640 --> 00:44:19,359 Speaker 1: so much sense. And I read it and I said, 756 00:44:19,400 --> 00:44:22,240 Speaker 1: this guy is the only person that makes sense. Proceeded 757 00:44:22,239 --> 00:44:24,480 Speaker 1: to ask him a billion questions. He was kind enough 758 00:44:24,560 --> 00:44:27,960 Speaker 1: to take the time to respond to all my questions thoroughly. 759 00:44:28,080 --> 00:44:29,960 Speaker 1: And this went on for a while, and then I 760 00:44:30,080 --> 00:44:32,040 Speaker 1: befriended other people. You know, some of the names I've 761 00:44:32,080 --> 00:44:34,920 Speaker 1: mentioned before of people that were truth tellers and all 762 00:44:34,960 --> 00:44:37,839 Speaker 1: this who also gave me information and then so really 763 00:44:37,880 --> 00:44:39,800 Speaker 1: from the beginning, but it was because of him. I 764 00:44:39,880 --> 00:44:41,600 Speaker 1: didn't know this stuff on my own. It was solely 765 00:44:41,680 --> 00:44:44,360 Speaker 1: because of doctor John Edie E. Needy's in this opbed 766 00:44:44,400 --> 00:44:46,920 Speaker 1: that he wrote in stat News. But the point is, 767 00:44:47,000 --> 00:44:49,080 Speaker 1: like all of this could have been avoided. I mean, 768 00:44:49,239 --> 00:44:52,480 Speaker 1: there were people out there who are world renowned, right, 769 00:44:52,560 --> 00:44:55,000 Speaker 1: like not even just it's not like he's some you know, 770 00:44:55,960 --> 00:44:58,520 Speaker 1: side show out there. I mean, this man is brilliant 771 00:44:59,440 --> 00:45:04,000 Speaker 1: and he warned us from the beginning, and no one listened, 772 00:45:04,880 --> 00:45:06,440 Speaker 1: or at least not at first when they should have. 773 00:45:06,719 --> 00:45:10,040 Speaker 2: You know, that ought that that professional God bless you. 774 00:45:10,280 --> 00:45:12,680 Speaker 2: I mean that's just great. I mean you should you 775 00:45:12,840 --> 00:45:13,759 Speaker 2: deserve a medal for that. 776 00:45:14,320 --> 00:45:15,839 Speaker 1: No, but it was him. It's because of him. 777 00:45:16,160 --> 00:45:20,680 Speaker 2: You know. That article came out March seventeenth, and it's 778 00:45:20,719 --> 00:45:24,080 Speaker 2: a very powerful article. Is prophetic. You better go read it. 779 00:45:24,280 --> 00:45:26,640 Speaker 2: It's everything he says that article is right. He says 780 00:45:26,680 --> 00:45:30,360 Speaker 2: we don't have the data to demonstrate that any of 781 00:45:30,400 --> 00:45:32,920 Speaker 2: the stuff isn't necessary, or that any of the means 782 00:45:32,960 --> 00:45:35,000 Speaker 2: we're using to control as virus are actually going to 783 00:45:35,000 --> 00:45:37,680 Speaker 2: achieve their ends. And they're going to cause enormous amount 784 00:45:37,680 --> 00:45:41,120 Speaker 2: of damage. And you're right about his status as a scientist, 785 00:45:41,440 --> 00:45:44,160 Speaker 2: you know, he he was, you know, one of the 786 00:45:44,320 --> 00:45:48,600 Speaker 2: great scientists in the country and at a leading epidemiologist, 787 00:45:48,880 --> 00:45:54,680 Speaker 2: and he had written, he had a huge publications record 788 00:45:54,920 --> 00:45:58,160 Speaker 2: that was celebrated by everybody in New York Times, the Atlantic. 789 00:45:58,200 --> 00:46:00,960 Speaker 2: I mean, he's just a great now hero. And he 790 00:46:01,040 --> 00:46:04,680 Speaker 2: said on March seventeenth, the day after the initial uh 791 00:46:04,920 --> 00:46:09,360 Speaker 2: A lockdown press conference in Washington, that this was a calamity, 792 00:46:09,680 --> 00:46:12,480 Speaker 2: that we should be stopping this. And I don't know 793 00:46:12,880 --> 00:46:16,160 Speaker 2: why that article didn't have a bigger impact than it did. 794 00:46:16,320 --> 00:46:19,120 Speaker 2: We should have everything should have stopped instantly after that 795 00:46:19,280 --> 00:46:19,960 Speaker 2: article appeared. 796 00:46:20,239 --> 00:46:24,239 Speaker 1: I think that it was intentionally ignored. I think there 797 00:46:24,360 --> 00:46:28,400 Speaker 1: was a desire to push fear is what is this? 798 00:46:28,600 --> 00:46:30,359 Speaker 1: You know, because I remember I even got the White 799 00:46:30,400 --> 00:46:32,560 Speaker 1: House on record, and you know what, screw it, Screw 800 00:46:32,640 --> 00:46:34,359 Speaker 1: doctor Debor Brooks. It was her. She was the one 801 00:46:34,440 --> 00:46:36,759 Speaker 1: I got her team on record saying that they were 802 00:46:36,800 --> 00:46:40,279 Speaker 1: going to do a representative sample, that they're going to 803 00:46:40,320 --> 00:46:43,120 Speaker 1: do a Sarah prevalence study to try to figure out 804 00:46:43,320 --> 00:46:46,000 Speaker 1: how deadly COVID actually was. Because the problem was that 805 00:46:46,120 --> 00:46:49,080 Speaker 1: we were missing cases, you know, by like sixty five fold, 806 00:46:49,200 --> 00:46:52,280 Speaker 1: so the fatality rate was totally skewed. So we're operating 807 00:46:52,360 --> 00:46:54,759 Speaker 1: off of a BS baseline from the beginning, which was 808 00:46:54,840 --> 00:46:58,160 Speaker 1: the point of doctor E. Nei D's a ED and 809 00:46:58,239 --> 00:46:59,560 Speaker 1: they said they were going to do it, and then 810 00:46:59,760 --> 00:47:02,960 Speaker 1: like they do it. No, So there really wasn't even 811 00:47:03,000 --> 00:47:05,880 Speaker 1: ever a desire to from you know, and not you know, 812 00:47:06,000 --> 00:47:08,440 Speaker 1: for doctor Burke's and doctor Fauci and these people who 813 00:47:08,480 --> 00:47:11,560 Speaker 1: are supposed to these public health bureaucrats to ever actually 814 00:47:11,640 --> 00:47:14,600 Speaker 1: find the truth so that we are operating and making 815 00:47:14,680 --> 00:47:16,840 Speaker 1: good decisions off of a proper baseline. 816 00:47:17,360 --> 00:47:20,360 Speaker 2: Ron DeSantis tells the story of getting calling up Debora 817 00:47:20,400 --> 00:47:24,000 Speaker 2: Burks and saying something to her like, do you have it? 818 00:47:24,880 --> 00:47:27,040 Speaker 2: Do we know any of this stuff's actually gonna work? What? 819 00:47:27,200 --> 00:47:29,120 Speaker 2: What actually is the goal? Are you trying to eradicate 820 00:47:30,040 --> 00:47:32,000 Speaker 2: this virus? I mean, what what's going on? And how 821 00:47:32,040 --> 00:47:34,600 Speaker 2: do we know any of these these great tools that 822 00:47:34,680 --> 00:47:36,800 Speaker 2: you're telling me to implement are actually going to achieve 823 00:47:37,360 --> 00:47:40,480 Speaker 2: their goal? She said, she said. He says that she 824 00:47:40,640 --> 00:47:43,279 Speaker 2: said to him, well, we don't really know. It's a 825 00:47:43,400 --> 00:47:50,279 Speaker 2: kind of a real time science experiment. And after that, 826 00:47:51,040 --> 00:47:54,239 Speaker 2: Desantas said, he just began to kind of lose all 827 00:47:54,640 --> 00:47:58,359 Speaker 2: faith and in the in the Deep State and their 828 00:47:58,640 --> 00:48:03,040 Speaker 2: and their disease plans. Yeah, and we shouldn't we shouldn't 829 00:48:03,120 --> 00:48:08,480 Speaker 2: leave this without mentioning the fact that there was no 830 00:48:08,760 --> 00:48:11,359 Speaker 2: plan at all for what to do when people got sick, 831 00:48:11,600 --> 00:48:13,799 Speaker 2: you know. I mean, we went through a whole year, 832 00:48:14,320 --> 00:48:16,520 Speaker 2: the first year of COVID, when it was most wicked, 833 00:48:17,800 --> 00:48:21,320 Speaker 2: without any recommendations coming from nih CDC on what you 834 00:48:21,400 --> 00:48:26,840 Speaker 2: should do if you're sick beyond take biband, get getting ventilated, 835 00:48:26,880 --> 00:48:30,319 Speaker 2: which you know kills you, you know, eight or nine 836 00:48:30,400 --> 00:48:34,680 Speaker 2: out of ten times, either from the ventilation itself or 837 00:48:34,760 --> 00:48:38,080 Speaker 2: from the inevitable secondary infections you get from ventilation. And 838 00:48:38,160 --> 00:48:41,720 Speaker 2: the other one was the Fauci's favorite drug called remdesivir, 839 00:48:42,080 --> 00:48:45,080 Speaker 2: which is just you know, also nicknamed run death is 840 00:48:45,160 --> 00:48:52,279 Speaker 2: Near so and and and the repurposed generic drugs were 841 00:48:52,480 --> 00:48:54,560 Speaker 2: completely off the table. I mean, where I lived, there 842 00:48:54,680 --> 00:48:57,440 Speaker 2: was no chance of getting iromactin. When I finally did 843 00:48:57,520 --> 00:49:00,759 Speaker 2: get sick, and I got really sick, this would have 844 00:49:00,800 --> 00:49:06,839 Speaker 2: been in January of twenty two, I could not get 845 00:49:06,920 --> 00:49:09,279 Speaker 2: I remced I finally had to have a friend who 846 00:49:09,440 --> 00:49:12,120 Speaker 2: drove from New York who got I remixed him from 847 00:49:12,280 --> 00:49:14,200 Speaker 2: India and brought it over to me. This is in 848 00:49:14,200 --> 00:49:17,440 Speaker 2: the United States of America, and I had a doctor's prescription, 849 00:49:17,640 --> 00:49:19,120 Speaker 2: but nobody would give it to me. I mean, I 850 00:49:19,160 --> 00:49:21,839 Speaker 2: went from pharmacy to pharmacy to pharmacy and nobody would 851 00:49:21,840 --> 00:49:24,320 Speaker 2: give it to me. So this really happened in this country. 852 00:49:24,480 --> 00:49:26,960 Speaker 1: I could talk to you forever about this, you know, 853 00:49:27,520 --> 00:49:29,880 Speaker 1: before we go. Is there anything else you'd like to 854 00:49:30,239 --> 00:49:30,719 Speaker 1: leave us. 855 00:49:30,640 --> 00:49:33,800 Speaker 2: With, I would say, Liza, we desperately need some you know, 856 00:49:34,000 --> 00:49:37,480 Speaker 2: not just a public reckoning and a serious conversation about this, 857 00:49:37,600 --> 00:49:40,200 Speaker 2: and I would even like to have some apologies, right, 858 00:49:40,600 --> 00:49:44,399 Speaker 2: but also we need serious changes. The same people who 859 00:49:44,480 --> 00:49:49,440 Speaker 2: did this before are still in power now. The successor 860 00:49:50,080 --> 00:49:54,000 Speaker 2: to what's her name at CDC, you know, is a 861 00:49:54,120 --> 00:49:58,000 Speaker 2: devote as a devout follower of Fauci. The new head 862 00:49:58,040 --> 00:50:01,240 Speaker 2: of NIH is the same thing. I mean, there's nothing 863 00:50:01,320 --> 00:50:05,800 Speaker 2: that's really changed, and this is what we've got to 864 00:50:05,840 --> 00:50:10,480 Speaker 2: fix this problem. We need a dramatic reform so we 865 00:50:10,560 --> 00:50:13,600 Speaker 2: can guarantee this will never happen again, and we need 866 00:50:14,160 --> 00:50:16,600 Speaker 2: a real reckoning. I don't see how we move forward 867 00:50:16,600 --> 00:50:20,600 Speaker 2: as a nation until we have a really blunt public 868 00:50:20,680 --> 00:50:26,799 Speaker 2: conversation about this and some serious changes in the way 869 00:50:26,880 --> 00:50:29,520 Speaker 2: the government operates to make sure this never happens again. 870 00:50:29,600 --> 00:50:32,680 Speaker 2: So thank you, Lisa for doing your part to fight 871 00:50:32,800 --> 00:50:34,360 Speaker 2: this for the last three and a half years. I 872 00:50:34,400 --> 00:50:36,439 Speaker 2: think it's just heroic what you've done, and I'm glad 873 00:50:36,800 --> 00:50:38,200 Speaker 2: you have me on your podcast today. 874 00:50:38,680 --> 00:50:42,640 Speaker 1: Well, same to you in finding the Brownstone Institute. I 875 00:50:42,760 --> 00:50:46,120 Speaker 1: read it often, and you publish a lot of brilliant 876 00:50:46,160 --> 00:50:47,840 Speaker 1: people and have a lot of brilliant minds and a 877 00:50:47,880 --> 00:50:49,839 Speaker 1: lot of truth tellers who have been trying to tell 878 00:50:49,920 --> 00:50:52,880 Speaker 1: us from the beginning that this was all nonsense. So 879 00:50:53,239 --> 00:50:56,880 Speaker 1: I appreciate you for starting it and for working to 880 00:50:56,920 --> 00:50:57,839 Speaker 1: get the truth out there. 881 00:50:58,520 --> 00:51:00,439 Speaker 2: Well, let's just keep our ching up in keep going, 882 00:51:00,560 --> 00:51:03,640 Speaker 2: because I think we can eventually win this. But even 883 00:51:03,680 --> 00:51:08,440 Speaker 2: if we don't, we're doing the right thing. And in 884 00:51:08,560 --> 00:51:12,400 Speaker 2: some sense, your voice is really really necessary, and I 885 00:51:12,520 --> 00:51:15,440 Speaker 2: do believe what Brownstone's doing is extremely important too, for 886 00:51:15,920 --> 00:51:18,360 Speaker 2: the sake of human liberty, for the sake of human dignity, 887 00:51:18,840 --> 00:51:21,600 Speaker 2: for the survival of civilization. Because I tell you what 888 00:51:21,760 --> 00:51:25,800 Speaker 2: you cannot have a free and civilized society under lockdowns. 889 00:51:26,239 --> 00:51:28,920 Speaker 1: Well said Jeffrey, Thanks so much for taking the time 890 00:51:29,000 --> 00:51:31,040 Speaker 1: to join the show. I really appreciate it. I've enjoyed 891 00:51:31,040 --> 00:51:33,160 Speaker 1: this conversation and I appreciate you taking the time. 892 00:51:33,400 --> 00:51:34,560 Speaker 2: Such a pleasure. Thank you, Lisa. 893 00:51:40,000 --> 00:51:43,440 Speaker 1: That was Jeffrey Tucker, founder and president at the Brownstone Institute. 894 00:51:43,440 --> 00:51:46,040 Speaker 1: Appreciate him taking the time to join the show. Appreciate 895 00:51:46,080 --> 00:51:48,920 Speaker 1: you at home for listening every Monday and Thursday, but 896 00:51:48,960 --> 00:51:50,399 Speaker 1: you can listen throughout the week. I want to thank 897 00:51:50,440 --> 00:51:53,640 Speaker 1: John Cassio, my producer, for putting the show together. Until 898 00:51:53,719 --> 00:51:54,120 Speaker 1: next time.