1 00:00:00,080 --> 00:00:01,840 Speaker 1: For the past year, we've been told by the pundits 2 00:00:01,880 --> 00:00:04,359 Speaker 1: and the politicians that we need to follow the science 3 00:00:04,400 --> 00:00:07,480 Speaker 1: when dealing with COVID. I agree with that statement, But 4 00:00:07,560 --> 00:00:09,879 Speaker 1: what happens when the same elites, the ones and positions 5 00:00:09,880 --> 00:00:12,799 Speaker 1: of power do precisely the opposite. You know, I'm talking 6 00:00:12,800 --> 00:00:15,440 Speaker 1: about Gavin news From and Glew Como. Today I exposed 7 00:00:15,440 --> 00:00:18,680 Speaker 1: the hypocrisy and the hollowness of the so called experts 8 00:00:18,680 --> 00:00:22,279 Speaker 1: separating COVID facts from fiction. This is out allowed. With 9 00:00:22,320 --> 00:00:29,200 Speaker 1: you want the COVID, we'll come back to allow with 10 00:00:29,240 --> 00:00:32,519 Speaker 1: Giano calls well, I'm really excited for today's show. My 11 00:00:32,640 --> 00:00:35,440 Speaker 1: guess is Phil Kirpen, the president of the Committee to 12 00:00:35,520 --> 00:00:40,120 Speaker 1: Unleashed Prosperity, which promotes limited government, free market economics, and 13 00:00:40,159 --> 00:00:42,840 Speaker 1: the commitment to the principles of the Declaration of Independence 14 00:00:42,880 --> 00:00:47,199 Speaker 1: in the Constitution. Phil is also a syndicated columnist, policy analyst, 15 00:00:47,479 --> 00:00:50,239 Speaker 1: and the chairman of the Internet Freedom Coalition. Phil has 16 00:00:50,280 --> 00:00:53,760 Speaker 1: written extensively on COVID nineteen and that's what he and 17 00:00:53,800 --> 00:00:57,640 Speaker 1: I are going to discuss today, COVID facts and COVID nonsense. 18 00:00:58,000 --> 00:01:02,400 Speaker 1: Let's go phiil Urp and welcome to outline with Giano Caldo. 19 00:01:02,480 --> 00:01:04,920 Speaker 1: Where pleased to have you today. We know that you're 20 00:01:04,920 --> 00:01:07,880 Speaker 1: an expert in the COVID space and you've been following 21 00:01:07,920 --> 00:01:11,880 Speaker 1: this very closely. How are you doing, I'm doing all right. 22 00:01:11,959 --> 00:01:15,839 Speaker 1: How are you? I'm doing well currently uh in Panama 23 00:01:16,440 --> 00:01:19,160 Speaker 1: doing some research, but glad to be on with you. 24 00:01:19,200 --> 00:01:20,840 Speaker 1: So I want to I want to really begin by 25 00:01:20,880 --> 00:01:24,440 Speaker 1: digging into how much the government's response to COVID, especially 26 00:01:24,480 --> 00:01:28,480 Speaker 1: in blue states, has been uh politicized. So many pundits 27 00:01:28,520 --> 00:01:30,800 Speaker 1: politicians keep telling us to follow the science when it 28 00:01:30,800 --> 00:01:34,280 Speaker 1: comes to COVID and listen to the so called experts. 29 00:01:34,640 --> 00:01:37,360 Speaker 1: But sometimes I wonder if some of these people know 30 00:01:38,000 --> 00:01:41,760 Speaker 1: any more than the average person. And as an example 31 00:01:41,840 --> 00:01:44,600 Speaker 1: of that, I want to place some tape from one 32 00:01:44,640 --> 00:01:48,280 Speaker 1: of Joe Biden's key experts, and one of his advisor's 33 00:01:48,360 --> 00:01:51,640 Speaker 1: name is Andy Slavitt, and he's a senior advisor on 34 00:01:51,720 --> 00:01:55,560 Speaker 1: COVID response. He was on MSNBC with hosts Stephanie Rule, 35 00:01:56,080 --> 00:01:59,720 Speaker 1: and this is what she had to say. States like 36 00:02:00,000 --> 00:02:04,720 Speaker 1: Florida and California. California basically in lockdown and their numbers 37 00:02:04,760 --> 00:02:07,440 Speaker 1: aren't that different from Florida. Look, there's so much of 38 00:02:07,440 --> 00:02:11,280 Speaker 1: this virus that we think we understand that we think 39 00:02:11,280 --> 00:02:13,760 Speaker 1: we can predict that just beyond a little bit beyond 40 00:02:13,760 --> 00:02:16,240 Speaker 1: our explanation. What we do know is that the more 41 00:02:16,280 --> 00:02:18,960 Speaker 1: careful people are, the more they mask and social distance, 42 00:02:19,200 --> 00:02:21,880 Speaker 1: and the quicker we vaccinate, the quicker it goes away 43 00:02:21,880 --> 00:02:24,240 Speaker 1: and the less it spreads. But we have got to 44 00:02:24,240 --> 00:02:26,760 Speaker 1: get better visibility into variants. We don't know what role 45 00:02:26,840 --> 00:02:31,080 Speaker 1: they play, UM, large events, etcetera. But you know, this 46 00:02:31,200 --> 00:02:32,880 Speaker 1: is as we all have learned by this time, this 47 00:02:32,960 --> 00:02:35,639 Speaker 1: is a virus that continues to surprise us. Um it's 48 00:02:35,720 --> 00:02:38,960 Speaker 1: very hard to predict and you know all around the country. 49 00:02:39,160 --> 00:02:40,760 Speaker 1: We've got to continue to do a better job. And 50 00:02:40,800 --> 00:02:42,880 Speaker 1: I think I think we are, but we're not done yet. 51 00:02:44,160 --> 00:02:47,720 Speaker 1: That was interesting, in bizarre all at the same time. 52 00:02:47,840 --> 00:02:50,480 Speaker 1: Why because this is supposed to be an expert, someone 53 00:02:50,560 --> 00:02:55,280 Speaker 1: who is advising the President of the United States too. 54 00:02:55,720 --> 00:02:59,960 Speaker 1: By way of the last election, criticized the Trump administration 55 00:03:00,040 --> 00:03:01,960 Speaker 1: and said that they didn't know what they were gonna do. 56 00:03:02,200 --> 00:03:04,160 Speaker 1: They didn't know what they were doing. Rather, and they 57 00:03:04,200 --> 00:03:08,240 Speaker 1: were going to if Biden one uh, provide a strategy 58 00:03:08,280 --> 00:03:10,480 Speaker 1: and a plan that would change the trajectory of the 59 00:03:10,560 --> 00:03:15,160 Speaker 1: virus immediately, and he basically said he doesn't know what's 60 00:03:15,160 --> 00:03:18,320 Speaker 1: going on in the host. I'll add was wrong on 61 00:03:18,360 --> 00:03:22,079 Speaker 1: the number. She said that Florida in California were partly 62 00:03:22,120 --> 00:03:25,520 Speaker 1: the same, and recent numbers show that in Florida there's 63 00:03:25,639 --> 00:03:29,720 Speaker 1: one point eight four million cases. In California that's three 64 00:03:29,760 --> 00:03:33,799 Speaker 1: point five one million cases, So it's not the same 65 00:03:33,880 --> 00:03:36,000 Speaker 1: by any measure. What do you have to say to 66 00:03:36,080 --> 00:03:39,520 Speaker 1: something like that, Well, I think that you know, he 67 00:03:39,520 --> 00:03:41,800 Speaker 1: couldn't answer that question because there is no answer that's 68 00:03:41,840 --> 00:03:45,760 Speaker 1: consistent with the things that the you know, lockdown artists 69 00:03:45,800 --> 00:03:49,680 Speaker 1: and the Biden administration, the Democrats in general have been saying, uh, 70 00:03:49,720 --> 00:03:52,400 Speaker 1: you know, it's a big problem for them that a 71 00:03:52,520 --> 00:03:55,480 Speaker 1: state California that's been in some form of lockdown pretty 72 00:03:55,560 --> 00:04:00,200 Speaker 1: much continuously for nine months has worse COVID measures than 73 00:04:00,200 --> 00:04:03,360 Speaker 1: the state of Florida, where all restrictions ended I think 74 00:04:03,440 --> 00:04:07,720 Speaker 1: five months ago now. And you know, you can't, uh, 75 00:04:07,800 --> 00:04:10,600 Speaker 1: you know, you can't explain that away the way he 76 00:04:10,640 --> 00:04:12,680 Speaker 1: did by saying, oh, there's still a lot we don't understand, 77 00:04:13,080 --> 00:04:16,320 Speaker 1: but what we do know are these various restrictions work. 78 00:04:16,360 --> 00:04:18,000 Speaker 1: And they say, well, no, no, the whole point of 79 00:04:18,000 --> 00:04:20,880 Speaker 1: the question is we don't know they work, because the 80 00:04:20,920 --> 00:04:23,680 Speaker 1: place that isn't doing any of those things is doing 81 00:04:23,720 --> 00:04:26,119 Speaker 1: better than the place that's doing all of them, uh, 82 00:04:26,200 --> 00:04:28,600 Speaker 1: you know, the most strenuously of any of the states. 83 00:04:29,080 --> 00:04:32,640 Speaker 1: And I think the real lesson, contrary to what you 84 00:04:32,680 --> 00:04:34,840 Speaker 1: know the so called experts continue to want to tell us, 85 00:04:35,040 --> 00:04:38,040 Speaker 1: is uh that the masks and the distance saying, and 86 00:04:38,080 --> 00:04:41,880 Speaker 1: the closes, school closures and the business closures actually have 87 00:04:42,880 --> 00:04:46,240 Speaker 1: about no effect. You still get the virus. You just 88 00:04:46,279 --> 00:04:51,200 Speaker 1: get all of the educational and economic and social harms 89 00:04:51,279 --> 00:04:55,000 Speaker 1: of those interventions on top of still having the harms 90 00:04:55,040 --> 00:04:58,280 Speaker 1: of the virus. And you know, early on it looked like, 91 00:04:58,560 --> 00:05:00,680 Speaker 1: you know, they must be doing everything right. In California, 92 00:05:00,720 --> 00:05:02,760 Speaker 1: they've got lower numbers. But I think it was just 93 00:05:02,839 --> 00:05:05,239 Speaker 1: sort of luck that they hadn't had their turn yet. 94 00:05:05,640 --> 00:05:07,400 Speaker 1: And of course, you know, when they had their turn, 95 00:05:07,480 --> 00:05:10,520 Speaker 1: they had a very very bad wave. And you know, 96 00:05:10,600 --> 00:05:14,599 Speaker 1: the lesson I think is you can't stop a highly 97 00:05:14,600 --> 00:05:18,920 Speaker 1: infectious respiratory virus through uh, you know, government dictates and policies. 98 00:05:18,960 --> 00:05:22,240 Speaker 1: You might be able to by developing vaccines and treatments, 99 00:05:22,240 --> 00:05:24,480 Speaker 1: and we did, but that very quickly, but you're not 100 00:05:24,520 --> 00:05:27,440 Speaker 1: gonna do it through lockdown orders. That just doesn't work. 101 00:05:27,520 --> 00:05:29,280 Speaker 1: But they're never going to admit that, because if they 102 00:05:29,320 --> 00:05:32,040 Speaker 1: admit that, what did they put everyone through all of 103 00:05:32,040 --> 00:05:34,520 Speaker 1: this pain and suffering for on top of you know, 104 00:05:34,560 --> 00:05:37,080 Speaker 1: the virus harms that happened. Anyway, well, I can tell 105 00:05:37,120 --> 00:05:40,279 Speaker 1: you the lockdowns work for a particular purpose, and that 106 00:05:40,800 --> 00:05:44,320 Speaker 1: higher suicide rates and poverty, that's what we get with lockdowns. 107 00:05:44,320 --> 00:05:48,479 Speaker 1: And interestingly enough, I lived in Los Angeles from seventeen 108 00:05:48,680 --> 00:05:52,240 Speaker 1: up into May last year, when I decided to move 109 00:05:52,279 --> 00:05:56,240 Speaker 1: two months into the lockdown to Miami, Florida. So we 110 00:05:56,360 --> 00:05:59,599 Speaker 1: see what these lockdowns are doing. They're making poor people 111 00:05:59,600 --> 00:06:01,960 Speaker 1: we even more poorn is depressing the hell out of 112 00:06:02,000 --> 00:06:03,919 Speaker 1: a whole lot of people. And it's interesting that you 113 00:06:04,360 --> 00:06:07,400 Speaker 1: pointed out something about Slavitte. You recently pointed out on 114 00:06:07,440 --> 00:06:10,000 Speaker 1: Twitter that he's a partisan with an NBA who actually 115 00:06:10,000 --> 00:06:12,960 Speaker 1: worked as an investment banker. He only entered the world 116 00:06:13,000 --> 00:06:15,080 Speaker 1: of healthcare on the business side and has no real 117 00:06:15,120 --> 00:06:18,440 Speaker 1: medical expertise, and yet Biden and the media have declared 118 00:06:18,520 --> 00:06:23,599 Speaker 1: him uh COVID expert. I just don't understand why Joe 119 00:06:23,600 --> 00:06:26,520 Speaker 1: Biden would have been ported appointed him as his point man. 120 00:06:26,560 --> 00:06:30,039 Speaker 1: Do you have any idea why you would have? Well, 121 00:06:30,120 --> 00:06:33,320 Speaker 1: he uh, he was an executive vice president at United 122 00:06:33,360 --> 00:06:37,440 Speaker 1: Health grew and um. He went into the Obama administration, 123 00:06:37,520 --> 00:06:40,520 Speaker 1: he was an acting administrator for Medicare and Medicaid. He 124 00:06:40,520 --> 00:06:44,840 Speaker 1: he was never the full administrator because uh, he had 125 00:06:44,880 --> 00:06:47,040 Speaker 1: to get an ethics waiver so that he could oversee 126 00:06:47,040 --> 00:06:49,000 Speaker 1: his previous employer, and he sent them a bunch of 127 00:06:49,040 --> 00:06:52,839 Speaker 1: bailout money. And the Senate, uh, you know, they didn't 128 00:06:52,880 --> 00:06:55,960 Speaker 1: confirm him, which was good, but they also didn't bother 129 00:06:56,040 --> 00:06:57,679 Speaker 1: to have the vote to vote against him and actually 130 00:06:57,760 --> 00:06:59,400 Speaker 1: knock him out of that office, which is what I 131 00:06:59,400 --> 00:07:01,479 Speaker 1: was trying to get them to do at the time. 132 00:07:01,560 --> 00:07:04,279 Speaker 1: But he is a his background is as a health 133 00:07:04,360 --> 00:07:09,200 Speaker 1: insurance executive and then as an Obama administration bureaucrat. And 134 00:07:09,320 --> 00:07:11,480 Speaker 1: you know, he certainly has no medical expertise to the 135 00:07:11,720 --> 00:07:13,920 Speaker 1: other thing that's kind of amazing about him is um 136 00:07:14,880 --> 00:07:16,800 Speaker 1: uh you know, up until when he went into the 137 00:07:16,800 --> 00:07:22,320 Speaker 1: Biden administration, he was constantly hawking the sponsor of his podcast, 138 00:07:22,360 --> 00:07:27,600 Speaker 1: which was a mask that claimed it could zap the 139 00:07:27,680 --> 00:07:32,080 Speaker 1: virus and disintegrate the virus, which is sort of quackery. 140 00:07:32,160 --> 00:07:35,760 Speaker 1: I mean, it's a it's a fantastical claim. Uh, you know, 141 00:07:35,880 --> 00:07:37,840 Speaker 1: just sort of taking advantage of people are scared of 142 00:07:37,840 --> 00:07:40,800 Speaker 1: the virus to sell them a product. Uh. And and 143 00:07:40,840 --> 00:07:43,800 Speaker 1: that wasn't a problem for the Biden administration either. Essentially, 144 00:07:43,880 --> 00:07:46,520 Speaker 1: I think he's where he is in the Piden administration 145 00:07:46,880 --> 00:07:49,160 Speaker 1: because he had a big Twitter following, and you know, 146 00:07:49,320 --> 00:07:51,760 Speaker 1: there's okay, let's get this guy. He's a he's you know, 147 00:07:51,840 --> 00:07:54,080 Speaker 1: he's respected on the left on this stuff. But it's 148 00:07:54,120 --> 00:07:56,800 Speaker 1: a it's a very odd choice. It's not clear what 149 00:07:56,880 --> 00:08:02,240 Speaker 1: he brings the table really. Uh. But I'm not sure 150 00:08:02,240 --> 00:08:04,280 Speaker 1: what he's actually doing other than doing these interviews in 151 00:08:04,320 --> 00:08:06,240 Speaker 1: the daily briefing. So I don't know that that that 152 00:08:06,400 --> 00:08:08,160 Speaker 1: his I don't know that he I don't know that 153 00:08:08,200 --> 00:08:10,280 Speaker 1: it matters too much that he doesn't seem to you you, 154 00:08:10,800 --> 00:08:14,800 Speaker 1: you know, have any particular relevant expertise. Wow, this is 155 00:08:15,800 --> 00:08:18,239 Speaker 1: it's not just a guy like him. I mean, it's 156 00:08:18,280 --> 00:08:20,360 Speaker 1: it's you know, you hear the same kind of stuff 157 00:08:20,360 --> 00:08:24,040 Speaker 1: from people like Fauci, you know, from our new CDC director. 158 00:08:24,480 --> 00:08:27,040 Speaker 1: You know, they don't you know, the fact that the 159 00:08:27,160 --> 00:08:31,120 Speaker 1: data doesn't match the policies they've been prescribing. Doesn't cause 160 00:08:31,160 --> 00:08:34,480 Speaker 1: them to reconsider the policies they just they just gloss 161 00:08:34,520 --> 00:08:36,760 Speaker 1: over it and keep saying the same things anyway. Yeah, 162 00:08:36,800 --> 00:08:38,920 Speaker 1: and then we talk about other experts. In one in 163 00:08:39,000 --> 00:08:43,080 Speaker 1: which you mentioned are on Twitter is Martin Colderoff, who 164 00:08:43,160 --> 00:08:47,840 Speaker 1: was a professor of medicine at Harvard Medical School who's 165 00:08:48,000 --> 00:08:53,120 Speaker 1: advocated against lockdowns. He wanted to balance approach um and 166 00:08:53,280 --> 00:08:56,319 Speaker 1: if if I'm quoting you noted that he has advocated 167 00:08:56,320 --> 00:08:59,320 Speaker 1: a balanced approach of COVID to allowing those minimal risk 168 00:08:59,400 --> 00:09:01,880 Speaker 1: of death to of their lives are better protecting those 169 00:09:02,000 --> 00:09:05,320 Speaker 1: at higher risks. But he has been shown by some 170 00:09:05,440 --> 00:09:10,559 Speaker 1: of those elites who usually love Harvard because he um 171 00:09:10,640 --> 00:09:13,720 Speaker 1: is advocating for people to live their lives. Can you 172 00:09:13,800 --> 00:09:17,600 Speaker 1: go more into that please. Yeah. Martin Coldorf is one 173 00:09:17,600 --> 00:09:21,240 Speaker 1: of the top infectious disease epidemiologists in the world, and 174 00:09:21,880 --> 00:09:26,720 Speaker 1: he partnered with two other top infectious disease epidemiologists, one 175 00:09:26,880 --> 00:09:31,640 Speaker 1: from Stanford named j Boicharia and one from Oxford, UH 176 00:09:31,760 --> 00:09:34,360 Speaker 1: named Sunetra Gupta, and they put out something called the 177 00:09:34,360 --> 00:09:38,120 Speaker 1: Great Barrington Declaration where they basically said, look, the principles 178 00:09:38,200 --> 00:09:41,840 Speaker 1: of public health and epidemiology are that you need to 179 00:09:41,920 --> 00:09:44,920 Speaker 1: look at all of public health, not just one issue 180 00:09:44,960 --> 00:09:48,400 Speaker 1: or one aspect or one disease, and the lockdowns cause 181 00:09:48,600 --> 00:09:51,640 Speaker 1: enormous public health harms. What we need to do instead 182 00:09:52,240 --> 00:09:55,160 Speaker 1: is focused, to the extent we can on focus protection 183 00:09:55,240 --> 00:09:58,079 Speaker 1: for the truly vulnerable people who are advanced age or 184 00:09:58,160 --> 00:10:01,480 Speaker 1: medically vulnerable. Used vaccines to protect them, now that we 185 00:10:01,520 --> 00:10:04,040 Speaker 1: have it. Before we have the vaccines, try to you know, 186 00:10:04,080 --> 00:10:07,560 Speaker 1: shelter those people. But otherwise, younger people should be able 187 00:10:07,600 --> 00:10:09,440 Speaker 1: to go about there. You know, younger people who are 188 00:10:09,440 --> 00:10:11,959 Speaker 1: not medically vulnerable should be allowed to go about their 189 00:10:12,000 --> 00:10:15,040 Speaker 1: lives normally. And you know, I've talked to Dr Coldorf 190 00:10:15,080 --> 00:10:18,480 Speaker 1: and he basically said, you know, this is what all 191 00:10:18,559 --> 00:10:23,720 Speaker 1: infectious disease epidemiologists believe when they're not kind of uh, 192 00:10:23,760 --> 00:10:27,079 Speaker 1: you know, being pressured into going along with this new 193 00:10:27,120 --> 00:10:30,960 Speaker 1: public narrative. This has been the normal conventional wisdom in 194 00:10:31,000 --> 00:10:33,600 Speaker 1: the field forever up until last year, and yet now 195 00:10:33,720 --> 00:10:38,080 Speaker 1: somehow it's become sort of a minority viewpoint to be dismissed. 196 00:10:38,600 --> 00:10:40,720 Speaker 1: And you know, from the perspective of somebody who's you know, 197 00:10:40,760 --> 00:10:43,040 Speaker 1: not a doctor, not a scientist. What's been following these 198 00:10:43,040 --> 00:10:46,040 Speaker 1: issues closely from sort of the economic standpoint. You know, 199 00:10:46,160 --> 00:10:48,440 Speaker 1: it's remarkable because whenever we say, you know, it doesn't 200 00:10:48,440 --> 00:10:51,720 Speaker 1: look like these lockdowns are working. Here's the data. People say, well, 201 00:10:51,760 --> 00:10:55,360 Speaker 1: you're not an epidemiologist, you're not credit, you're not qualified 202 00:10:55,440 --> 00:10:57,480 Speaker 1: to make that assessment. You say, well no, but I'm 203 00:10:57,520 --> 00:11:00,400 Speaker 1: listening to people like Martin Coldorf from our verd and 204 00:11:00,520 --> 00:11:03,360 Speaker 1: Ja Bodicharia from Stanford and Senetric Uptor from Oxford. And 205 00:11:03,360 --> 00:11:06,360 Speaker 1: they say, oh, well they don't count. Now that's not science. 206 00:11:06,440 --> 00:11:09,240 Speaker 1: It's anti science. If you listen to people like uh, 207 00:11:09,280 --> 00:11:13,200 Speaker 1: those top epidemiologists who are anti lockdown, it only counts 208 00:11:13,200 --> 00:11:15,520 Speaker 1: as science if you listen to the ones who want lockdown, 209 00:11:15,559 --> 00:11:18,960 Speaker 1: the more political epidemia. Yeah, and then that's the thing 210 00:11:19,200 --> 00:11:22,720 Speaker 1: is this. People are listening to those with the education 211 00:11:22,720 --> 00:11:24,680 Speaker 1: in the background, who have studied the science, or are 212 00:11:24,720 --> 00:11:27,400 Speaker 1: they looking at the folks who have the more uh, 213 00:11:27,480 --> 00:11:31,240 Speaker 1: democratic leaning or liberal leaning political ideologies that align with 214 00:11:31,280 --> 00:11:34,880 Speaker 1: the politicians who are advocating for these lockdowns. That's what's 215 00:11:34,920 --> 00:11:39,160 Speaker 1: so disturbing about this process because you have folks who 216 00:11:39,559 --> 00:11:43,319 Speaker 1: clearly have demonstrated I'm talking about Governor Ron De Santis 217 00:11:43,440 --> 00:11:46,320 Speaker 1: is clearly demonstrating you can send your kids to school, 218 00:11:46,679 --> 00:11:48,400 Speaker 1: you can open up the entire state. You can go 219 00:11:48,480 --> 00:11:53,240 Speaker 1: to restaurants, clubs and bars are open open in the 220 00:11:53,280 --> 00:11:56,520 Speaker 1: state of Florida. There's a lot of different venues. People 221 00:11:56,559 --> 00:11:59,439 Speaker 1: are actually living their lives, and folks are running away 222 00:11:59,480 --> 00:12:01,959 Speaker 1: from Cali. For you in New York because it's a 223 00:12:02,160 --> 00:12:06,440 Speaker 1: three state Now, I want to pick up from there 224 00:12:06,440 --> 00:12:10,839 Speaker 1: in a moment, but first let's have a quick break. 225 00:12:11,600 --> 00:12:14,920 Speaker 1: We saw the dever. GAVINUSA recently has come up with 226 00:12:14,960 --> 00:12:18,640 Speaker 1: a stimulus package, uh to kind of prop up businesses, 227 00:12:19,440 --> 00:12:22,560 Speaker 1: give six checks in terms of stimulus. Why do you 228 00:12:22,559 --> 00:12:24,400 Speaker 1: think he's doing that now and he's still trying to 229 00:12:24,480 --> 00:12:28,800 Speaker 1: keep some of these lockdown measures in place. Well, he 230 00:12:28,960 --> 00:12:31,720 Speaker 1: doesn't want to admit that. He doesn't want tomit he 231 00:12:31,800 --> 00:12:33,640 Speaker 1: was wrong. I mean, I think this is the fundamental 232 00:12:34,559 --> 00:12:37,240 Speaker 1: problem with getting out of these lockdowns and places that 233 00:12:37,400 --> 00:12:40,760 Speaker 1: still have lots of restrictions. As you know, they they 234 00:12:40,760 --> 00:12:42,280 Speaker 1: don't want to come out and say, hey, we did 235 00:12:42,320 --> 00:12:45,240 Speaker 1: all that for nothing. You sacrificed. You were locked up 236 00:12:45,240 --> 00:12:47,040 Speaker 1: in your house, your kids didn't go to school for 237 00:12:47,040 --> 00:12:49,240 Speaker 1: a years. That was my bad, that was a mistake. 238 00:12:49,600 --> 00:12:52,080 Speaker 1: We got the virus anyway, that didn't accomplish anything. We're 239 00:12:52,120 --> 00:12:55,199 Speaker 1: going to reverse all of that. Now, you don't want 240 00:12:55,200 --> 00:12:58,080 Speaker 1: to do that because uh, you know, nobody likes admitting 241 00:12:58,080 --> 00:13:00,520 Speaker 1: they're wrong and obviously the political consequence, so that would 242 00:13:00,559 --> 00:13:03,960 Speaker 1: be tough. So they want to sort of, uh figure 243 00:13:04,080 --> 00:13:07,000 Speaker 1: a way out where they can claim credit, claim they 244 00:13:07,000 --> 00:13:08,960 Speaker 1: were the hero, they were the reason that it wasn't 245 00:13:09,000 --> 00:13:13,960 Speaker 1: much worse. And and that's why I think, uh, the 246 00:13:14,000 --> 00:13:17,240 Speaker 1: media and the liberals and the advocates of these policies, 247 00:13:17,280 --> 00:13:20,280 Speaker 1: they the most their number one most hated person in 248 00:13:20,360 --> 00:13:23,360 Speaker 1: America as Governor on De Santis and Governor Christy nom 249 00:13:23,400 --> 00:13:26,000 Speaker 1: is probably number two. Because when you have states they 250 00:13:26,040 --> 00:13:27,920 Speaker 1: don't go along with what everyone else is doing. And 251 00:13:27,960 --> 00:13:30,240 Speaker 1: Sweden and sort of the European version of this didn't 252 00:13:30,240 --> 00:13:33,000 Speaker 1: go along with this stuff. When you have places that 253 00:13:33,120 --> 00:13:35,400 Speaker 1: didn't do it, and it say, oh wait a second, 254 00:13:35,400 --> 00:13:37,760 Speaker 1: their virus numbers aren't any worse. And Vanian Florida is 255 00:13:37,840 --> 00:13:39,720 Speaker 1: very right in the middle of the pack, very average 256 00:13:39,720 --> 00:13:41,760 Speaker 1: on all the virus numbers. They wait there. Their virus 257 00:13:41,800 --> 00:13:44,640 Speaker 1: numbers aren't any worse than anywhere else. But they didn't 258 00:13:44,640 --> 00:13:47,720 Speaker 1: impose all of this additional hardship. They didn't destroy millions 259 00:13:47,720 --> 00:13:50,360 Speaker 1: of businesses, they didn't lock kids out of school. You know, 260 00:13:51,160 --> 00:13:53,240 Speaker 1: why did we do those things here? That's a problem 261 00:13:53,480 --> 00:13:56,160 Speaker 1: and that's why when when that question gets asked directly 262 00:13:56,720 --> 00:13:59,160 Speaker 1: of a Biden administration official, all they can do is sputter. 263 00:13:59,280 --> 00:14:01,839 Speaker 1: They can't answer it. There is no good answer. But 264 00:14:01,920 --> 00:14:04,840 Speaker 1: you know, if you're if you're Gavin Newsom, you don't 265 00:14:04,840 --> 00:14:07,319 Speaker 1: want to meet you were wrong, but you don't want 266 00:14:07,320 --> 00:14:10,280 Speaker 1: to get recalled. Uh, so what do you do? We're 267 00:14:10,320 --> 00:14:12,800 Speaker 1: just send money out. We're gonna send checks out and 268 00:14:12,840 --> 00:14:16,400 Speaker 1: maybe that'll that'll he thinks that will help him survive. Uh. 269 00:14:16,400 --> 00:14:19,520 Speaker 1: You know, it's an interesting thing because California actually is 270 00:14:19,520 --> 00:14:21,640 Speaker 1: in a big budget surplus right now, which is a 271 00:14:21,680 --> 00:14:23,600 Speaker 1: little bit surprising because you might think, you know, they've 272 00:14:23,600 --> 00:14:26,600 Speaker 1: been destroying so many businesses, they're probably gonna destroy their 273 00:14:26,600 --> 00:14:28,720 Speaker 1: own state finances and then they'll have to you know. 274 00:14:29,000 --> 00:14:31,840 Speaker 1: But but actually they're in a big surplus because the 275 00:14:31,880 --> 00:14:34,040 Speaker 1: stock market has been going up so much. They've got 276 00:14:34,080 --> 00:14:37,960 Speaker 1: tons of income tax revenue from the stock market. Uh. 277 00:14:38,000 --> 00:14:40,200 Speaker 1: And also, you know, real estate prices are up for 278 00:14:40,240 --> 00:14:42,640 Speaker 1: whatever reason, they're kind of up everywhere. And so you know, 279 00:14:42,680 --> 00:14:46,160 Speaker 1: California's got like a billion dollar surplus right now, but 280 00:14:46,800 --> 00:14:52,240 Speaker 1: Democrats and billion dollars anyway, in this next Biden stimulus, 281 00:14:52,240 --> 00:14:54,920 Speaker 1: forty one billion goes to California to bail out of 282 00:14:54,920 --> 00:14:56,720 Speaker 1: budget that they don't even need a bail out there 283 00:14:56,760 --> 00:14:58,880 Speaker 1: in surplus. So you know, if you've got that kind 284 00:14:58,880 --> 00:15:01,280 Speaker 1: of money coming that you've is coming and you're worried 285 00:15:01,280 --> 00:15:03,840 Speaker 1: about a recollection, you know you you got the money 286 00:15:03,840 --> 00:15:06,240 Speaker 1: that you've got the money coming from Washington, send out 287 00:15:06,320 --> 00:15:08,280 Speaker 1: checks to people by their favor. I think that's what 288 00:15:08,320 --> 00:15:10,600 Speaker 1: he's trying to do with You know, you you talked 289 00:15:10,880 --> 00:15:14,600 Speaker 1: talked quite a bit about free market policies. You spend 290 00:15:14,640 --> 00:15:17,400 Speaker 1: a lot of your career studying it, how to stimulate 291 00:15:17,440 --> 00:15:20,360 Speaker 1: economic growth. And I'm really interested in terms of what 292 00:15:20,400 --> 00:15:23,440 Speaker 1: you think about the current COVID package. And let me 293 00:15:23,480 --> 00:15:26,640 Speaker 1: be very clip front. I've supported the two thousand dollar 294 00:15:27,280 --> 00:15:31,280 Speaker 1: stimulus for American families. It was their money, it was 295 00:15:31,320 --> 00:15:34,240 Speaker 1: their tax dollars. I think it should have went to them. 296 00:15:34,400 --> 00:15:36,600 Speaker 1: I think it should have really went to them. Mitch McConnell, 297 00:15:36,640 --> 00:15:39,560 Speaker 1: I think he dropped the ball, and um new Gingridge 298 00:15:39,600 --> 00:15:42,680 Speaker 1: is also advocated for this as well. When it came 299 00:15:42,720 --> 00:15:46,440 Speaker 1: to the Georgia Senate, racist Donald Trump recently saying, Hey, 300 00:15:46,480 --> 00:15:49,360 Speaker 1: if it wasn't for Mitch McConnell dropping the ball and 301 00:15:49,440 --> 00:15:52,280 Speaker 1: not sending out the two thousand dollars stimulus to people, 302 00:15:52,680 --> 00:15:55,640 Speaker 1: then Georgia might have looked different. What do you think 303 00:15:55,640 --> 00:15:58,440 Speaker 1: the federal government should do in terms of COVID relief packages? 304 00:15:58,480 --> 00:16:00,880 Speaker 1: Should we be spending another two trillion? Is Biden the 305 00:16:00,960 --> 00:16:03,880 Speaker 1: Democrats want to do? Uh? Should we be given to 306 00:16:03,960 --> 00:16:05,800 Speaker 1: me this check to Americans? What is the best way 307 00:16:05,840 --> 00:16:10,040 Speaker 1: to help those whose jobs and businesses were damaged, destroyed 308 00:16:10,480 --> 00:16:15,240 Speaker 1: at no part of their own while being fiscally responsible? Uh? Is? 309 00:16:15,400 --> 00:16:17,960 Speaker 1: What is it? What do you think we should do here? Well, 310 00:16:18,120 --> 00:16:20,880 Speaker 1: first of all, we've got a really weird economy right now, 311 00:16:20,920 --> 00:16:25,240 Speaker 1: because it's not a six percent unemployment economy nationally. It's 312 00:16:25,520 --> 00:16:28,880 Speaker 1: three percent unemployment economy in places like you know, South 313 00:16:28,960 --> 00:16:31,560 Speaker 1: Dakota and Nebraska and Iowa that never locked down. And 314 00:16:31,920 --> 00:16:33,800 Speaker 1: you know, the virus came and went, but it didn't 315 00:16:33,800 --> 00:16:36,800 Speaker 1: disrupt their economy because they didn't do the lockdowns. Uh. 316 00:16:36,840 --> 00:16:39,560 Speaker 1: And then you've got you know, nine percent unemployment in 317 00:16:39,600 --> 00:16:43,720 Speaker 1: the real lockdown and disaster areas California, New York, Nevada, Hawaii, 318 00:16:44,240 --> 00:16:45,840 Speaker 1: and then you've got kind of the other states that 319 00:16:45,880 --> 00:16:48,440 Speaker 1: are sort of in the middle, and Florida unfortunately is 320 00:16:48,480 --> 00:16:50,360 Speaker 1: more in the round, the six percent in the middle, 321 00:16:50,440 --> 00:16:53,040 Speaker 1: because their tourism has been hit so hard that even 322 00:16:53,040 --> 00:16:56,040 Speaker 1: though they didn't lock down, they've also been hit hard economically. 323 00:16:56,680 --> 00:17:00,120 Speaker 1: Um and so I think to me, the key thing 324 00:17:00,160 --> 00:17:04,159 Speaker 1: to do for the economy is to get to sort 325 00:17:04,160 --> 00:17:06,399 Speaker 1: of the all clear where the lockdown states are no 326 00:17:06,480 --> 00:17:08,800 Speaker 1: longer locked down, where everyone sort of we can have 327 00:17:08,880 --> 00:17:12,400 Speaker 1: this great relief rally. We can people can feel comfortable 328 00:17:12,400 --> 00:17:14,520 Speaker 1: going outside, get rid of the mass, get back into 329 00:17:14,520 --> 00:17:18,280 Speaker 1: normal social circumstances, and you know, the the economic boom 330 00:17:18,359 --> 00:17:21,000 Speaker 1: from that, uh. In my jugument, it's going to be 331 00:17:21,000 --> 00:17:26,320 Speaker 1: pretty dramatic and h long long awaited in the places 332 00:17:26,359 --> 00:17:28,960 Speaker 1: that have been the most locked down, especially and from 333 00:17:29,000 --> 00:17:32,080 Speaker 1: a federal policy standpoint, the number one thing they can 334 00:17:32,080 --> 00:17:33,639 Speaker 1: do to that you can do to make that happen 335 00:17:34,320 --> 00:17:36,960 Speaker 1: is to get the vaccines out, because you know, the 336 00:17:37,240 --> 00:17:39,640 Speaker 1: for the people who've been waiting for the vaccine, which 337 00:17:39,720 --> 00:17:41,119 Speaker 1: is a lot of people who've been hold up in 338 00:17:41,119 --> 00:17:43,919 Speaker 1: their houses. It's also a lot of politicians are going 339 00:17:43,960 --> 00:17:46,000 Speaker 1: to keep restrictions on until there's a high level of 340 00:17:46,080 --> 00:17:48,640 Speaker 1: vaccination for good or for ill. I mean, I think 341 00:17:48,960 --> 00:17:51,040 Speaker 1: we shouldn't need vaccines to end all of this, but 342 00:17:51,080 --> 00:17:53,520 Speaker 1: for good or for ill, you know, that's I think 343 00:17:53,760 --> 00:17:56,000 Speaker 1: what's gonna be the ultimate harbinger for the end of 344 00:17:56,040 --> 00:17:57,840 Speaker 1: all of this. And so, if if I were in 345 00:17:57,920 --> 00:18:01,760 Speaker 1: charge of federal policy, my priorities one, two, and three 346 00:18:01,800 --> 00:18:06,680 Speaker 1: would all be getting vaccines authorized and manufactured and out 347 00:18:07,160 --> 00:18:09,760 Speaker 1: as quickly as possible. I think it's ridiculous that the 348 00:18:09,840 --> 00:18:12,840 Speaker 1: FDA waits like three or four weeks from when one 349 00:18:12,880 --> 00:18:14,879 Speaker 1: of these things is filed before they even meet and 350 00:18:14,920 --> 00:18:16,840 Speaker 1: decide on it. And that's what they're doing right now. 351 00:18:16,840 --> 00:18:20,280 Speaker 1: On the Johnson and Johnson Uh, it was submitted weeks ago. 352 00:18:20,280 --> 00:18:22,359 Speaker 1: They're finally going to meet next week, and we'll hope 353 00:18:22,359 --> 00:18:26,560 Speaker 1: that that passes muster and that supply starts getting out. 354 00:18:26,600 --> 00:18:30,480 Speaker 1: They've been sitting on astra Zeneca for months. Other countries 355 00:18:30,520 --> 00:18:33,040 Speaker 1: are using it. We basically told astra Zenica don't apply 356 00:18:33,119 --> 00:18:36,120 Speaker 1: in the US. We don't want you to use your 357 00:18:36,240 --> 00:18:38,880 Speaker 1: UK and Brazil trial data. We need to wait until 358 00:18:38,920 --> 00:18:40,879 Speaker 1: you have a U S trial. I think that's ridiculous. 359 00:18:41,200 --> 00:18:43,399 Speaker 1: If I were the Biden administration, I would direct the 360 00:18:43,440 --> 00:18:46,960 Speaker 1: FDA to invite an EU A and author and an 361 00:18:47,000 --> 00:18:51,000 Speaker 1: emergency use authorization from aster Zeneca based on their existing 362 00:18:51,040 --> 00:18:54,480 Speaker 1: trial data. And if we got Johnson Johnson and Astra 363 00:18:54,560 --> 00:18:59,479 Speaker 1: Zeneca authorized, there would basically not be vaccine scarcity we 364 00:18:59,480 --> 00:19:02,440 Speaker 1: would have. We'd be basically, you know, within a month, 365 00:19:02,480 --> 00:19:04,439 Speaker 1: we'd be at anyone who wants it can get it. 366 00:19:04,880 --> 00:19:09,000 Speaker 1: And I think the the whole, uh, the main sort 367 00:19:09,040 --> 00:19:11,320 Speaker 1: of line of advocacy that we should all be saying 368 00:19:11,560 --> 00:19:13,840 Speaker 1: and and try to get liberals to agree on, is 369 00:19:14,359 --> 00:19:17,399 Speaker 1: you know, you can't have any more restrictions once anybody 370 00:19:17,440 --> 00:19:19,200 Speaker 1: who wants the vaccine can get it, and you know, 371 00:19:19,280 --> 00:19:21,200 Speaker 1: it's a choice. If somebody doesn't want it, they don't 372 00:19:21,200 --> 00:19:23,879 Speaker 1: have to get it. But you know, once everybody who 373 00:19:23,960 --> 00:19:26,520 Speaker 1: wants it can get it, you know, really it's each 374 00:19:26,560 --> 00:19:29,280 Speaker 1: individual's decided for themselves. You don't need any more society 375 00:19:29,320 --> 00:19:32,520 Speaker 1: wide restrictions. You really can't justify them. And I think 376 00:19:32,560 --> 00:19:34,440 Speaker 1: you know that that should be the key, more so 377 00:19:34,520 --> 00:19:37,680 Speaker 1: than trying to do more federal spending, are doing a 378 00:19:37,720 --> 00:19:40,560 Speaker 1: new round of checks or especially the spending in this bill, 379 00:19:40,640 --> 00:19:44,040 Speaker 1: I mean bailing out staying local governments with you know, 380 00:19:44,119 --> 00:19:46,840 Speaker 1: the three fifty billion dollars when most of them already 381 00:19:46,840 --> 00:19:49,760 Speaker 1: in surplus. That's just raiding the treasury because they can 382 00:19:50,359 --> 00:19:54,240 Speaker 1: essentially uh. The K twelve education spending in the Biden 383 00:19:54,320 --> 00:19:58,720 Speaker 1: stimulus is completely ridiculous when you consider that the fifty 384 00:19:58,760 --> 00:20:00,919 Speaker 1: four billion dollars for K twelve that was in the 385 00:20:00,960 --> 00:20:03,600 Speaker 1: bill the past in December hasn't been spent yet. Not 386 00:20:03,720 --> 00:20:05,600 Speaker 1: one penny of it has been spent yet. So we 387 00:20:05,680 --> 00:20:08,120 Speaker 1: got fifty four billion that hasn't gone out yet. They're 388 00:20:08,119 --> 00:20:11,240 Speaker 1: asking for another hundred billion for K twelve. The Congressional 389 00:20:11,240 --> 00:20:14,080 Speaker 1: Budget Office says the most that they could see of 390 00:20:14,160 --> 00:20:17,199 Speaker 1: the new hundred eight billion being spent this year is 391 00:20:17,280 --> 00:20:19,480 Speaker 1: six billion. So the rest of it is all being 392 00:20:19,520 --> 00:20:22,200 Speaker 1: spent in future years. Most of it is spent over 393 00:20:22,200 --> 00:20:24,520 Speaker 1: the next eight years. It's you know, the idea that 394 00:20:24,560 --> 00:20:27,160 Speaker 1: the schools are not going to open unless that gets approved. 395 00:20:27,400 --> 00:20:29,959 Speaker 1: When none of the money gets spent for years anyway, 396 00:20:30,080 --> 00:20:32,159 Speaker 1: I think just shows you that they're now you know, 397 00:20:32,200 --> 00:20:34,560 Speaker 1: they know schools can be open and should be open, 398 00:20:34,560 --> 00:20:36,560 Speaker 1: but now it's just a matter of let's keep them 399 00:20:36,600 --> 00:20:39,000 Speaker 1: closed as leverage to raid the U. S. Treasury. And 400 00:20:39,160 --> 00:20:40,960 Speaker 1: I don't think we should reward that by giving them 401 00:20:40,960 --> 00:20:43,680 Speaker 1: what they want. So most of what's in this bill 402 00:20:44,320 --> 00:20:49,480 Speaker 1: I'm against. Um. You know, the direct checks are probably 403 00:20:49,520 --> 00:20:52,240 Speaker 1: the least problematic. You know. The other thing is bill 404 00:20:52,280 --> 00:20:53,879 Speaker 1: that I think is a big problem is the they 405 00:20:53,920 --> 00:20:57,360 Speaker 1: bring back the federal unemployment bonus. Uh, not the six 406 00:20:57,440 --> 00:20:59,239 Speaker 1: hundred dollars a week it was last year, but at 407 00:20:59,240 --> 00:21:01,240 Speaker 1: four nder dollars week. But if you had four hundred 408 00:21:01,240 --> 00:21:05,160 Speaker 1: dollars federal unemployment bonus to you know, four or five 409 00:21:05,520 --> 00:21:08,280 Speaker 1: dollars state benefit depending on the state. You know, it's 410 00:21:08,600 --> 00:21:10,760 Speaker 1: three to five hundred some states, it's only three some 411 00:21:10,840 --> 00:21:13,119 Speaker 1: states more. But I mean you're talking with the four 412 00:21:13,160 --> 00:21:15,560 Speaker 1: undred dollar bonus on top of you know, let's say 413 00:21:15,560 --> 00:21:18,199 Speaker 1: you're in a state where it's you know five or 414 00:21:18,280 --> 00:21:20,119 Speaker 1: let's say it's a four hndred dollar state benefit and 415 00:21:20,160 --> 00:21:22,520 Speaker 1: you're doubling it with the federal bonus. Well, you know, 416 00:21:22,600 --> 00:21:26,160 Speaker 1: eight hundred dollars a week, you're talking about forty dollars 417 00:21:26,200 --> 00:21:28,399 Speaker 1: to not work. Now, how do you how does they 418 00:21:28,640 --> 00:21:30,360 Speaker 1: how does a company that's trying to get back off 419 00:21:30,400 --> 00:21:32,920 Speaker 1: the ground and staff themselves, how do they get people 420 00:21:32,920 --> 00:21:34,480 Speaker 1: to come back to work when they're making that kind 421 00:21:34,480 --> 00:21:37,040 Speaker 1: of money to not work? So I think the unemployment 422 00:21:37,040 --> 00:21:41,240 Speaker 1: bonuses are a big mistake. I uh, you know, as 423 00:21:41,240 --> 00:21:43,400 Speaker 1: I said, if they're gonna spend money, if they can't 424 00:21:43,400 --> 00:21:46,400 Speaker 1: be talked out of it, then just sending equal checks 425 00:21:46,400 --> 00:21:49,520 Speaker 1: to everyone is probably the least objectionable way to do it. 426 00:21:49,560 --> 00:21:52,160 Speaker 1: But in my mind, we don't need to spend more money. 427 00:21:52,200 --> 00:21:54,920 Speaker 1: We need to really focus on getting these vaccines authorized 428 00:21:54,960 --> 00:21:58,040 Speaker 1: and out the door, because that's the one thing that 429 00:21:58,119 --> 00:22:00,880 Speaker 1: no matter what you're no matter where you been on lockdown, 430 00:22:00,880 --> 00:22:04,160 Speaker 1: no lockdown anything. I think once the vaccines are available 431 00:22:04,160 --> 00:22:07,639 Speaker 1: to anyone, it's got all that. Now, picking up on 432 00:22:07,680 --> 00:22:10,920 Speaker 1: something you were were saying about the schools. Currently, about 433 00:22:11,440 --> 00:22:14,520 Speaker 1: of public schools are open, about one third are all 434 00:22:14,600 --> 00:22:18,080 Speaker 1: distance learning, and the rest are some combination of the two. 435 00:22:19,440 --> 00:22:21,840 Speaker 1: I've seen across the country, especially in places like my 436 00:22:21,880 --> 00:22:26,840 Speaker 1: hometown of Chicago, where the teachers Union refused to enter 437 00:22:26,960 --> 00:22:32,320 Speaker 1: into schools without um some funding for vaccines, vaccinations, et cetera. 438 00:22:33,160 --> 00:22:35,760 Speaker 1: What role do you think teachers uniors are are playing 439 00:22:35,800 --> 00:22:38,920 Speaker 1: and preventing schools from reopening across the country. They've given 440 00:22:38,920 --> 00:22:41,480 Speaker 1: Democrats a lot of money over the years. They've given 441 00:22:41,720 --> 00:22:44,199 Speaker 1: Democrats a lot of money this past election cycle, including 442 00:22:44,280 --> 00:22:48,080 Speaker 1: Joe Biden, and it seems as though he's prioritizing the 443 00:22:48,080 --> 00:22:51,280 Speaker 1: teacher's union over the actual children who could really fall behind. 444 00:22:52,080 --> 00:22:56,160 Speaker 1: And some have really fallen behind, especially those students who 445 00:22:56,200 --> 00:22:59,680 Speaker 1: may be black or Hispanic. What what do you think 446 00:22:59,800 --> 00:23:02,480 Speaker 1: is the teacher What role is the teachers union really 447 00:23:02,520 --> 00:23:07,400 Speaker 1: really playing here, because it doesn't seem to be the science. Yeah. 448 00:23:07,440 --> 00:23:09,720 Speaker 1: I think the school closures are ultimately going to be 449 00:23:09,760 --> 00:23:13,600 Speaker 1: the most destructive part of this whole uh, you know, 450 00:23:14,160 --> 00:23:15,760 Speaker 1: all the events to the last year. I think they're 451 00:23:15,760 --> 00:23:17,560 Speaker 1: gonna be much worse than the virus itself. When you 452 00:23:17,600 --> 00:23:21,720 Speaker 1: consider that the difference in life expectancy between a high 453 00:23:21,760 --> 00:23:24,359 Speaker 1: school graduate in the high school dropouts about five years 454 00:23:24,960 --> 00:23:26,680 Speaker 1: um and you look at the age of the people 455 00:23:26,680 --> 00:23:28,199 Speaker 1: who are dying of COVID, a lot of them are 456 00:23:28,320 --> 00:23:30,240 Speaker 1: losing less than five years of life. And then you 457 00:23:30,240 --> 00:23:32,840 Speaker 1: consider millions and millions of kids have been locked out 458 00:23:32,840 --> 00:23:35,159 Speaker 1: of school for various periods of time, some of them 459 00:23:35,400 --> 00:23:39,719 Speaker 1: still locked out of school. Um, it's it's massive. The harms, 460 00:23:39,760 --> 00:23:43,439 Speaker 1: the educational harms, and them by extension, the economic and 461 00:23:43,520 --> 00:23:47,000 Speaker 1: public health harms are just absolutely enormous, both long term 462 00:23:47,000 --> 00:23:49,520 Speaker 1: and short term. With the increase for seeing uh in 463 00:23:49,640 --> 00:23:52,440 Speaker 1: suicide and drug overdose in the pediatric age group, which 464 00:23:52,480 --> 00:23:54,960 Speaker 1: is you know, I see another one of these tragic stories, 465 00:23:55,000 --> 00:23:57,719 Speaker 1: it seems every other day. So it's been really, really bad. 466 00:23:58,320 --> 00:24:00,680 Speaker 1: And I put a lot of blame on the teachers 467 00:24:00,760 --> 00:24:03,560 Speaker 1: unions because they've really corrupted the science. It's been fairly 468 00:24:03,600 --> 00:24:09,120 Speaker 1: clear from very early on that children are at exceedingly 469 00:24:09,160 --> 00:24:11,760 Speaker 1: low risk with this virus. It is less dangerous for 470 00:24:11,840 --> 00:24:15,600 Speaker 1: children than influenza, and it replaced influenza this here, we 471 00:24:15,600 --> 00:24:17,359 Speaker 1: didn't have it in addition to flu. We had it 472 00:24:17,400 --> 00:24:19,440 Speaker 1: instead of flu. And so you know, in a sense, 473 00:24:19,520 --> 00:24:23,880 Speaker 1: this was actually the mildest respiratory illness season for children 474 00:24:24,240 --> 00:24:27,480 Speaker 1: ever in that you know, the usual virus that kills 475 00:24:27,480 --> 00:24:29,040 Speaker 1: you know, around five hundred kids a year in this 476 00:24:29,119 --> 00:24:31,719 Speaker 1: country was gone, and we had a virus that instead 477 00:24:31,760 --> 00:24:34,359 Speaker 1: only killed you know, a hundred fifty. And I say, oh, obviously, 478 00:24:34,359 --> 00:24:36,479 Speaker 1: you know, every death's a bad thing, but you know, 479 00:24:36,960 --> 00:24:41,000 Speaker 1: it was a. It was a mild respiratory season for children, 480 00:24:41,000 --> 00:24:42,640 Speaker 1: not a severe one, and yet they were locked out 481 00:24:42,640 --> 00:24:44,119 Speaker 1: of school. And you could say, well, you know what 482 00:24:44,160 --> 00:24:47,840 Speaker 1: if teachers were at risk, Well, you know, there's always 483 00:24:47,880 --> 00:24:51,120 Speaker 1: risk in the world, but teaching is not a high 484 00:24:51,240 --> 00:24:54,880 Speaker 1: risk profession because when children do get this virus, they 485 00:24:54,880 --> 00:24:57,840 Speaker 1: tend to be significantly less infectious with it than adults, 486 00:24:57,840 --> 00:25:01,400 Speaker 1: and they rarely infect adults. They sometimes do. It's not impossible, 487 00:25:01,840 --> 00:25:03,840 Speaker 1: but it's rare. And of course you you layer on 488 00:25:03,880 --> 00:25:07,200 Speaker 1: top of that that other than the handful of teachers 489 00:25:07,240 --> 00:25:10,200 Speaker 1: that are very old or medically compromised, there at very 490 00:25:10,240 --> 00:25:12,240 Speaker 1: low risk themselves based on what we know about the 491 00:25:12,320 --> 00:25:15,560 Speaker 1: virus and the number of teachers that had a you know, 492 00:25:15,760 --> 00:25:19,639 Speaker 1: legitimate health concern. Uh, it should have been small, and 493 00:25:19,640 --> 00:25:21,760 Speaker 1: it should have been small enough to accommodate without shutting 494 00:25:21,760 --> 00:25:23,479 Speaker 1: down schools, and we should have been able to do that. 495 00:25:23,520 --> 00:25:26,840 Speaker 1: But the the unions, I think, saw an opportunity to 496 00:25:27,480 --> 00:25:30,960 Speaker 1: gain money and power and leverage and everything like that, 497 00:25:31,320 --> 00:25:35,479 Speaker 1: political influence, and they're now making ever escalating demands. And 498 00:25:35,520 --> 00:25:38,720 Speaker 1: so you know, originally they said, you know, you know, 499 00:25:39,040 --> 00:25:41,320 Speaker 1: they said, well, we don't want to go back uh, 500 00:25:41,359 --> 00:25:43,919 Speaker 1: you know, until the case rates are lower, and then 501 00:25:43,960 --> 00:25:45,480 Speaker 1: case rates are lower, they said, no, we want to 502 00:25:45,480 --> 00:25:48,040 Speaker 1: wait for a vaccine. Now they're saying, even with the vaccine, 503 00:25:48,080 --> 00:25:49,840 Speaker 1: we don't want to go back unless there are you know, 504 00:25:50,160 --> 00:25:53,560 Speaker 1: brand new ventilation systems and new buildings and smaller class 505 00:25:53,600 --> 00:25:56,240 Speaker 1: sizes and sort of the demands just sort of would 506 00:25:56,240 --> 00:25:58,040 Speaker 1: go on and on and on and on. The new 507 00:25:58,080 --> 00:25:59,919 Speaker 1: one that I just saw a few days ago, as 508 00:26:00,000 --> 00:26:02,200 Speaker 1: we were saying, actually the buildings were not safe enough 509 00:26:02,200 --> 00:26:04,919 Speaker 1: to work in even before COVID, and so you know, 510 00:26:04,960 --> 00:26:07,480 Speaker 1: we need these various facilities upgrades or else it's not 511 00:26:07,520 --> 00:26:09,600 Speaker 1: safe enough for safe enough for us to go there. 512 00:26:10,080 --> 00:26:13,919 Speaker 1: And this bottom administration, a lot of people were optimistic. 513 00:26:14,040 --> 00:26:16,679 Speaker 1: I thought I was never optimistic because I'm a cynic, 514 00:26:16,720 --> 00:26:18,680 Speaker 1: but a lot of people were optimistic they were gonna 515 00:26:18,720 --> 00:26:22,560 Speaker 1: have reasonable science based guidelines from CBC. It was gonna 516 00:26:22,640 --> 00:26:24,600 Speaker 1: lead to the rest of the school's opening up. Instead, 517 00:26:25,520 --> 00:26:30,159 Speaker 1: the CDC director basically shaped it, shelved her own scientific conclusions, 518 00:26:30,160 --> 00:26:32,879 Speaker 1: including things she's written in the past, and you know, 519 00:26:33,000 --> 00:26:35,240 Speaker 1: went with a version of the guidelines that was essentially 520 00:26:35,280 --> 00:26:37,520 Speaker 1: dictated by the teachers unions and the unions were out 521 00:26:37,600 --> 00:26:41,080 Speaker 1: ragging that they basically wrote these guidelines and uh, you know, 522 00:26:41,200 --> 00:26:43,439 Speaker 1: he'd written into these guidelines as this idea of a 523 00:26:43,560 --> 00:26:48,320 Speaker 1: six foot distance between students, which there's no scientific basis for. 524 00:26:49,000 --> 00:26:50,840 Speaker 1: But if you do that, it basically makes full time 525 00:26:50,880 --> 00:26:53,160 Speaker 1: school impossible unless you build a whole bunch of school 526 00:26:53,200 --> 00:26:55,639 Speaker 1: buildings and hire a whole bunch more teachers. And so 527 00:26:56,400 --> 00:26:58,240 Speaker 1: that's kind of where we are. But it's a it's 528 00:26:58,280 --> 00:27:01,879 Speaker 1: a you know, it's a it's a two America's situation 529 00:27:02,000 --> 00:27:05,720 Speaker 1: because uh, in most places in America, schools are open 530 00:27:05,800 --> 00:27:10,120 Speaker 1: and have been since August. But then in the big cities, um, 531 00:27:10,160 --> 00:27:12,199 Speaker 1: you know, they're they're mostly closed, and many of them 532 00:27:12,200 --> 00:27:15,200 Speaker 1: have been closed continuously now for about a year. And 533 00:27:15,720 --> 00:27:17,680 Speaker 1: you know, those are the places where it seems hard 534 00:27:17,720 --> 00:27:20,160 Speaker 1: to budge to get any movement on getting kids back 535 00:27:20,160 --> 00:27:24,159 Speaker 1: in school. And uh, you know, we're gonna potentially have 536 00:27:24,600 --> 00:27:26,440 Speaker 1: It's gonna be very hard for all these kids to 537 00:27:26,480 --> 00:27:28,560 Speaker 1: catch up. It's gonna be a huge challenge to not 538 00:27:28,640 --> 00:27:31,080 Speaker 1: lose these kids, especially the ones. You know, there are 539 00:27:31,080 --> 00:27:32,640 Speaker 1: a lot of kids who never even logged onto these 540 00:27:32,640 --> 00:27:35,600 Speaker 1: online platforms, and so you know, they're you know, schools 541 00:27:35,640 --> 00:27:37,159 Speaker 1: might not even be able to locate them when they 542 00:27:37,200 --> 00:27:39,920 Speaker 1: finally do. That's really interesting. Let's continue from there in 543 00:27:39,960 --> 00:27:46,320 Speaker 1: a moment after a quick break. I know a lot 544 00:27:46,359 --> 00:27:49,639 Speaker 1: of good teachers, had some in my life, but the 545 00:27:49,760 --> 00:27:53,080 Speaker 1: demands I continue to hear is almost like, hey, why 546 00:27:53,080 --> 00:27:54,760 Speaker 1: don't you just keep paying us so we can just 547 00:27:54,760 --> 00:27:57,920 Speaker 1: stay at home. I mean, you know, I feel bad 548 00:27:57,960 --> 00:27:59,360 Speaker 1: for a lot of the teachers, And I don't really 549 00:27:59,400 --> 00:28:02,760 Speaker 1: blame the individual teachers so much as I do the 550 00:28:02,800 --> 00:28:05,800 Speaker 1: union leadership, because a lot of these like crazy hybrid 551 00:28:05,840 --> 00:28:07,879 Speaker 1: schemes and stuff like that are actually much harder for 552 00:28:07,880 --> 00:28:09,760 Speaker 1: the teacher than just teaching a class. And then they 553 00:28:09,800 --> 00:28:11,159 Speaker 1: got to like worry about the ones who are on 554 00:28:11,200 --> 00:28:12,720 Speaker 1: the zoom at the same time they're talking to the 555 00:28:12,720 --> 00:28:14,600 Speaker 1: ones of the room, and they've got to prepare of 556 00:28:14,640 --> 00:28:17,120 Speaker 1: packets every day and all this kind of stuff. I mean, 557 00:28:17,160 --> 00:28:19,880 Speaker 1: the teachers who are actually like really working it hard 558 00:28:19,880 --> 00:28:22,160 Speaker 1: and doing a good job trying to keep everyone engaged, 559 00:28:22,400 --> 00:28:24,720 Speaker 1: they're probably working a lot more than they've ever worked before. 560 00:28:24,760 --> 00:28:27,000 Speaker 1: But of course, you know, if you don't have one 561 00:28:27,000 --> 00:28:28,840 Speaker 1: of those, if you have a teacher who's sort of, 562 00:28:28,880 --> 00:28:30,720 Speaker 1: you know, phoning it in from the beach in Puerto 563 00:28:30,800 --> 00:28:33,840 Speaker 1: Rico or whatever. Uh, you know, it's almost like not 564 00:28:33,960 --> 00:28:35,760 Speaker 1: having school at all. And so I think that you know, 565 00:28:35,840 --> 00:28:39,480 Speaker 1: the just the experiences that different that families are having 566 00:28:39,480 --> 00:28:42,800 Speaker 1: with this remote stuff is just wildly variable. It's sort 567 00:28:42,800 --> 00:28:46,479 Speaker 1: of luck in the draw and um, you know, but 568 00:28:46,520 --> 00:28:49,240 Speaker 1: the but the bigger problem is, you know, you can't 569 00:28:49,240 --> 00:28:52,400 Speaker 1: have a functioning you know, you I shouldn't say bigger 570 00:28:52,400 --> 00:28:55,080 Speaker 1: because the educational losses are probably the biggest, as I mentioned, 571 00:28:55,080 --> 00:28:57,560 Speaker 1: but sort of the other related problem is, how can 572 00:28:57,560 --> 00:29:00,800 Speaker 1: you have a functioning society if you know, somebody's got 573 00:29:00,800 --> 00:29:03,000 Speaker 1: to be watching the kids all the time because you know, 574 00:29:03,160 --> 00:29:05,280 Speaker 1: they're not allowed to go to school. People design their 575 00:29:05,280 --> 00:29:07,560 Speaker 1: lives around their kids are in school that part of 576 00:29:07,560 --> 00:29:09,520 Speaker 1: the day. Now you've got to either find a daycare 577 00:29:09,880 --> 00:29:11,880 Speaker 1: or hire nanny or you know, you're there are a 578 00:29:11,880 --> 00:29:14,480 Speaker 1: lot of moms have left the workforce because they're watching 579 00:29:14,480 --> 00:29:19,000 Speaker 1: the kids. Just it's been enormously disruptive and uh, it's 580 00:29:19,040 --> 00:29:21,200 Speaker 1: gone on far far longer than I think, you know, 581 00:29:21,240 --> 00:29:23,720 Speaker 1: anyone expected. And I and I don't disagree with you 582 00:29:23,800 --> 00:29:25,960 Speaker 1: on the teacher point. I think it's important for them 583 00:29:26,000 --> 00:29:28,840 Speaker 1: to go back to school. Safely, but the unions are 584 00:29:28,960 --> 00:29:33,000 Speaker 1: making things very complicated and the students are supposed to 585 00:29:33,000 --> 00:29:35,960 Speaker 1: be the real gifts. Here there are the real prizes 586 00:29:35,960 --> 00:29:38,440 Speaker 1: where we got young minds who need to continue to 587 00:29:38,480 --> 00:29:41,240 Speaker 1: get educated so they can be the leaders of tomorrow. 588 00:29:41,280 --> 00:29:45,080 Speaker 1: And if they don't have teachers doing that, then how 589 00:29:45,120 --> 00:29:47,520 Speaker 1: can they be the leaders of tomorrow. So that's that's 590 00:29:47,800 --> 00:29:51,080 Speaker 1: my point. My last question for you, has given a 591 00:29:51,200 --> 00:29:54,400 Speaker 1: data you've studied, how effective have these vaccines been? Because 592 00:29:54,440 --> 00:29:57,960 Speaker 1: we just saw recently some reporting of a former news 593 00:29:58,080 --> 00:30:01,880 Speaker 1: anchor I believe she was, who took the vaccine and 594 00:30:01,880 --> 00:30:05,280 Speaker 1: then the next day she died. How much and I'm 595 00:30:05,320 --> 00:30:08,240 Speaker 1: not saying that it was a correlation, is just what happened. 596 00:30:08,640 --> 00:30:11,680 Speaker 1: How much should the public trust these vaccines, especially in 597 00:30:11,720 --> 00:30:14,400 Speaker 1: the African American community where we've seen things like the 598 00:30:14,440 --> 00:30:18,560 Speaker 1: Tuskegee experiment, and people really don't trust vaccines, and they 599 00:30:18,600 --> 00:30:21,440 Speaker 1: don't trust any kind of medicine generally, just about for 600 00:30:21,520 --> 00:30:23,600 Speaker 1: older African Americans in a lot of cases, they don't 601 00:30:23,600 --> 00:30:27,400 Speaker 1: trust any medicine that they would get from the government. 602 00:30:27,440 --> 00:30:29,640 Speaker 1: So in other words, of vaccine, I look at the 603 00:30:29,720 --> 00:30:32,760 Speaker 1: d c H COVID data a lot because I live here, 604 00:30:32,920 --> 00:30:37,960 Speaker 1: and um, you know, the the COVID deaths are overwhelmingly black. 605 00:30:38,160 --> 00:30:40,800 Speaker 1: I mean it's I think DC population is like forty 606 00:30:40,840 --> 00:30:43,200 Speaker 1: five percent black, but the COVID deaths are like sevent 607 00:30:44,720 --> 00:30:47,400 Speaker 1: And then you look at the vaccination data and it's 608 00:30:47,440 --> 00:30:50,520 Speaker 1: like all white people getting the vaccine, which to me 609 00:30:50,720 --> 00:30:53,360 Speaker 1: indicates that you know, and I know they're trying. They're 610 00:30:53,360 --> 00:30:55,480 Speaker 1: trying to get the vaccine out in the black community 611 00:30:55,520 --> 00:30:57,040 Speaker 1: for sure, because that's where most of the burden of 612 00:30:57,080 --> 00:30:59,760 Speaker 1: the disease has been. But to me, the fact that 613 00:30:59,760 --> 00:31:01,120 Speaker 1: the res are with their I mean, they don't want 614 00:31:01,120 --> 00:31:03,920 Speaker 1: the vaccine, they're they're passing on or they're very hesitant 615 00:31:03,960 --> 00:31:05,360 Speaker 1: to take it. And you know, maybe it is that 616 00:31:05,480 --> 00:31:09,240 Speaker 1: history that's informing that. This is my view. I think. 617 00:31:09,280 --> 00:31:12,960 Speaker 1: You know, we've got we've got pretty good data from 618 00:31:13,160 --> 00:31:16,360 Speaker 1: the clinical trials, and we've got some additional real world 619 00:31:16,440 --> 00:31:19,480 Speaker 1: data as it's rolled out. Uh, you know, it's not 620 00:31:19,520 --> 00:31:21,360 Speaker 1: a full approval. It's not what you would have with 621 00:31:21,400 --> 00:31:24,880 Speaker 1: a normal vaccine that would go through years of development 622 00:31:24,880 --> 00:31:28,240 Speaker 1: and years of study. That's why it's called an emergency 623 00:31:28,320 --> 00:31:31,240 Speaker 1: use authorization because we we don't know the long term 624 00:31:31,320 --> 00:31:34,680 Speaker 1: or even really the medium term. Uh, you know, that's 625 00:31:34,680 --> 00:31:37,600 Speaker 1: we're gonna have to wait and see for all of that. Uh, 626 00:31:38,400 --> 00:31:41,520 Speaker 1: but I think we have enough data that if you're 627 00:31:41,560 --> 00:31:45,440 Speaker 1: in a risk category, uh, you're much better off getting 628 00:31:45,440 --> 00:31:47,600 Speaker 1: the vaccine than you are risking getting the virus. And 629 00:31:47,640 --> 00:31:50,680 Speaker 1: by a risk category, I mean I think anyone above 630 00:31:50,720 --> 00:31:53,200 Speaker 1: the age of seventy, you definitely want to get it, 631 00:31:53,240 --> 00:31:55,320 Speaker 1: because above the age of seventy, if you get the virus, 632 00:31:55,360 --> 00:31:57,560 Speaker 1: it's a better than five percent chance you're gonna die. 633 00:31:58,000 --> 00:32:00,360 Speaker 1: That's one in twenty. You know, there's no way the 634 00:32:00,440 --> 00:32:02,920 Speaker 1: vaccine is going to be more dangerous than that. So 635 00:32:02,960 --> 00:32:04,600 Speaker 1: if you're above age seventy, I think it's a no 636 00:32:04,680 --> 00:32:06,000 Speaker 1: brainer you want to get it. And then you know, 637 00:32:06,080 --> 00:32:08,840 Speaker 1: if you're down to age fifty, you probably still want 638 00:32:08,840 --> 00:32:12,360 Speaker 1: to get it because they're they're they're still considerable risk 639 00:32:12,440 --> 00:32:15,280 Speaker 1: with the virus. And then you know, I think below 640 00:32:15,320 --> 00:32:18,840 Speaker 1: age fifty, it's really I think, you know, the virus 641 00:32:18,880 --> 00:32:21,880 Speaker 1: itself is very low risk for you below age fifty, 642 00:32:21,920 --> 00:32:24,760 Speaker 1: unless you're in one of the medical risk categories, uh, 643 00:32:24,800 --> 00:32:28,800 Speaker 1: you know, diabetes, severe obesity, something like that. Uh, it's 644 00:32:28,840 --> 00:32:31,000 Speaker 1: more about I think the choice of you know, do 645 00:32:31,000 --> 00:32:32,360 Speaker 1: you want to say that you had it in case 646 00:32:32,400 --> 00:32:35,440 Speaker 1: ticketmaster's requiring it for a concert or sporting event, or 647 00:32:35,480 --> 00:32:37,400 Speaker 1: is it just easier to have had it than not 648 00:32:37,480 --> 00:32:40,080 Speaker 1: had it and that kind of thing. So I think that, 649 00:32:40,480 --> 00:32:43,040 Speaker 1: you know, if you're in a high risk group, you 650 00:32:43,080 --> 00:32:46,040 Speaker 1: want it in my opinion, because the even with the 651 00:32:46,120 --> 00:32:48,720 Speaker 1: unknowns about the medium and long term, it's going to 652 00:32:48,760 --> 00:32:51,960 Speaker 1: be better for you than risking getting the virus. Uh. 653 00:32:52,000 --> 00:32:54,800 Speaker 1: If you're not in a risk category, I think it's 654 00:32:54,800 --> 00:32:57,440 Speaker 1: it's you know, it's just a choice whether you whether 655 00:32:57,480 --> 00:33:02,080 Speaker 1: you're more worried about kind of the um you know, 656 00:33:02,120 --> 00:33:05,440 Speaker 1: maybe unknown long term effects from the virus versus of 657 00:33:05,440 --> 00:33:08,840 Speaker 1: the vaccine, and they sort of the you know, kind 658 00:33:08,840 --> 00:33:12,000 Speaker 1: of the lifestyle or social benefits of being able to 659 00:33:12,000 --> 00:33:13,440 Speaker 1: say that you have it in case. You know, there 660 00:33:13,440 --> 00:33:15,800 Speaker 1: are things that require proof of vaccination and that kind 661 00:33:15,800 --> 00:33:18,520 Speaker 1: of thing. So that would be my my thinking. I mean, 662 00:33:18,680 --> 00:33:21,880 Speaker 1: I'm only forty one, but you know, if they offer 663 00:33:21,880 --> 00:33:25,600 Speaker 1: it to me, I'll probably get it UM because you know, 664 00:33:25,680 --> 00:33:28,640 Speaker 1: from what I've seen in the data, uh, the risks 665 00:33:28,680 --> 00:33:30,800 Speaker 1: are very very low, and I think it will be 666 00:33:30,880 --> 00:33:33,560 Speaker 1: much easier to say I already got the vaccine. If 667 00:33:33,600 --> 00:33:35,680 Speaker 1: somebody is bothering you about you know, a mask or 668 00:33:35,680 --> 00:33:37,440 Speaker 1: a distance or whatever to say no, no no, I got 669 00:33:37,440 --> 00:33:40,000 Speaker 1: it to me. The convenience of being able to say 670 00:33:40,040 --> 00:33:41,959 Speaker 1: that is worth the very low risk. But I mean 671 00:33:42,000 --> 00:33:44,400 Speaker 1: people do need to make their own decisions for this, 672 00:33:44,440 --> 00:33:47,640 Speaker 1: and this is why, as I was saying before the 673 00:33:47,640 --> 00:33:51,320 Speaker 1: the the exit from all of this nonsense and restrictions 674 00:33:51,400 --> 00:33:54,000 Speaker 1: cannot be tied to a certain percentage of people have 675 00:33:54,080 --> 00:33:56,080 Speaker 1: to take the vaccine. That's the wrong way to do 676 00:33:56,160 --> 00:33:58,040 Speaker 1: it and the wrong way to think about it. The 677 00:33:58,080 --> 00:34:00,320 Speaker 1: way to do it is to say, you know, can 678 00:34:00,360 --> 00:34:02,520 Speaker 1: everyone who wants to get it? And once everyone who 679 00:34:02,520 --> 00:34:04,680 Speaker 1: wants it can get it, then you can relax everything 680 00:34:04,680 --> 00:34:06,520 Speaker 1: because people have kind of made their choice whether they 681 00:34:06,520 --> 00:34:08,400 Speaker 1: want to risk the virus or go with the vaccine. 682 00:34:09,040 --> 00:34:11,520 Speaker 1: But but we I don't think we should try to 683 00:34:11,800 --> 00:34:13,959 Speaker 1: force or coerce people. I think you should let people 684 00:34:14,040 --> 00:34:16,439 Speaker 1: make the choice. I just want to thank you so 685 00:34:16,520 --> 00:34:19,200 Speaker 1: much for coming on and educating us on this field. 686 00:34:19,239 --> 00:34:21,839 Speaker 1: We really appreciate the work you do. Can you tell 687 00:34:21,840 --> 00:34:25,040 Speaker 1: people where they can follow you? Yeah, I'll give a 688 00:34:25,040 --> 00:34:28,000 Speaker 1: couple of things. American Commitment dot org is the main 689 00:34:28,120 --> 00:34:30,680 Speaker 1: organization that I run, if people want to look on 690 00:34:30,719 --> 00:34:32,640 Speaker 1: that and not see the issues that we're working on. 691 00:34:33,280 --> 00:34:37,080 Speaker 1: The other thing is I do a daily newsletter with 692 00:34:37,480 --> 00:34:40,799 Speaker 1: Steve Moore and John Fund that's free. It's kind of 693 00:34:40,800 --> 00:34:43,000 Speaker 1: got all of our thoughts and the updates on stuff 694 00:34:43,040 --> 00:34:45,920 Speaker 1: related to the virus and the economy and energy policy 695 00:34:45,920 --> 00:34:49,520 Speaker 1: and other stuff like that. Uh and new to a subscriber. 696 00:34:49,560 --> 00:34:51,880 Speaker 1: He likes it. So if people want to get that, 697 00:34:52,000 --> 00:34:55,799 Speaker 1: it's free. As I said, Committee to Unleash Prosperity dot 698 00:34:55,840 --> 00:34:59,200 Speaker 1: Com is the website for for the newsletter. And then 699 00:34:59,239 --> 00:35:02,120 Speaker 1: the last thing I'm mention is my Twitter. I'm kind 700 00:35:02,120 --> 00:35:03,640 Speaker 1: of an addict. I'm on there a lot, and I 701 00:35:03,640 --> 00:35:05,640 Speaker 1: put a lot of charts and data and stuff like 702 00:35:05,680 --> 00:35:08,600 Speaker 1: that out that way. And that's my last name. Kurpin. 703 00:35:08,719 --> 00:35:12,279 Speaker 1: K rpm Well, thank you so much for coming on here, 704 00:35:12,360 --> 00:35:17,080 Speaker 1: Phil Kirpin. We appreciate your insight and certainly if Nude 705 00:35:17,160 --> 00:35:19,319 Speaker 1: is following your newsletter, we will be sure to check 706 00:35:19,360 --> 00:35:21,319 Speaker 1: it out. So thank you again for joining out loud 707 00:35:21,360 --> 00:35:23,480 Speaker 1: with Gianno Caldwell. All right, thanks for having me. I 708 00:35:23,440 --> 00:35:28,440 Speaker 1: have a good one. Thanks to Phil Kirpin for a 709 00:35:28,440 --> 00:35:30,799 Speaker 1: great interview. If you're enjoying the show, please leave us 710 00:35:30,800 --> 00:35:33,120 Speaker 1: a review and rate us with five stars on Apple Podcast. 711 00:35:33,320 --> 00:35:35,560 Speaker 1: If you have any questions for me, please email me 712 00:35:35,560 --> 00:35:37,680 Speaker 1: at out loud at English sixty dot com and I'll 713 00:35:37,680 --> 00:35:40,000 Speaker 1: try to answer them in our future episodes. You can 714 00:35:40,000 --> 00:35:43,319 Speaker 1: also find me on Twitter, Instagram, Facebook, and parlor at 715 00:35:43,400 --> 00:35:46,080 Speaker 1: Giano Caldwell. And if you're interested in learning more about 716 00:35:46,080 --> 00:35:48,239 Speaker 1: my story, please pick up a copy of my bestselling 717 00:35:48,239 --> 00:35:51,560 Speaker 1: book title Taken for Granted, How Conservatism Can Win Back 718 00:35:51,600 --> 00:35:54,400 Speaker 1: to Americans in livingers Um Failed Special. Thanks to our 719 00:35:54,440 --> 00:35:59,120 Speaker 1: producer John Cassio, researcher Aaron Kleinman, and executive producers Debbie 720 00:35:59,160 --> 00:36:02,000 Speaker 1: Myers and Eager new Gangridge, part of the Gingriish three 721 00:36:02,080 --> 00:36:02,800 Speaker 1: sixty network,