1 00:00:00,200 --> 00:00:03,440 Speaker 1: Now here's a highlight from Coast to Coast AM on 2 00:00:03,560 --> 00:00:06,720 Speaker 1: iHeart Radio and welcome back to Coast to Coast. George 3 00:00:06,760 --> 00:00:09,680 Speaker 1: Nori with you, Jay Wesley Richards with us the price 4 00:00:09,800 --> 00:00:12,880 Speaker 1: of panic and there is panic still out there. Jay. 5 00:00:13,039 --> 00:00:16,320 Speaker 1: I mean, I remember when this first started, and there 6 00:00:16,360 --> 00:00:18,959 Speaker 1: was a little tiny story I had back in December 7 00:00:19,480 --> 00:00:23,439 Speaker 1: that talked about how one person had gotten sick in Wuhan, China, 8 00:00:23,640 --> 00:00:27,320 Speaker 1: eating a quote unquote tainted bat from a wet market. 9 00:00:27,800 --> 00:00:30,280 Speaker 1: Then about a week later we found out there was 10 00:00:30,320 --> 00:00:34,279 Speaker 1: a viral lab in Wuhan. I have put together my 11 00:00:34,680 --> 00:00:37,279 Speaker 1: theory that this thing started there. What do you think 12 00:00:37,320 --> 00:00:40,839 Speaker 1: about that? Yeah, we think the same thing if we 13 00:00:40,840 --> 00:00:44,000 Speaker 1: were to guess, and so we actually looked at the 14 00:00:44,040 --> 00:00:45,800 Speaker 1: sequence of the virus, and of course there are these 15 00:00:45,880 --> 00:00:49,599 Speaker 1: rumors that maybe it was engineered. So the short separate questions. 16 00:00:49,600 --> 00:00:51,440 Speaker 1: There's a question, Okay, where exactly did it come from? 17 00:00:51,479 --> 00:00:53,280 Speaker 1: Did it come from the wet market, where did it 18 00:00:53,280 --> 00:00:57,120 Speaker 1: come from the really the Wuhan Institute of Virology. And 19 00:00:57,160 --> 00:00:59,840 Speaker 1: then is it natural or is it artificial? We think 20 00:01:00,440 --> 00:01:03,400 Speaker 1: it could be artificial, but there's nothing in the sequence 21 00:01:03,440 --> 00:01:06,440 Speaker 1: of the RNA of the virus that suggests that it 22 00:01:06,480 --> 00:01:09,960 Speaker 1: looks it's very much like known viruses that come from 23 00:01:10,040 --> 00:01:13,800 Speaker 1: these bats. But these bats aren't from the general area 24 00:01:13,800 --> 00:01:16,600 Speaker 1: of Uhan, they're not native there. But we know that 25 00:01:16,640 --> 00:01:20,400 Speaker 1: this lab uses these bats in their research, and in fact, 26 00:01:20,600 --> 00:01:24,160 Speaker 1: the State Department just a couple of years prior to 27 00:01:24,600 --> 00:01:27,560 Speaker 1: this event actually had had issued a report saying we're 28 00:01:27,600 --> 00:01:32,520 Speaker 1: worried about the security protocols for the Wuhan Institute of Virology, 29 00:01:32,560 --> 00:01:36,040 Speaker 1: and so we honestly think that the most likely scenario 30 00:01:36,360 --> 00:01:40,280 Speaker 1: is that it actually accidentally leaked from the institute. Of 31 00:01:40,400 --> 00:01:42,600 Speaker 1: the wet market story is the sort of thing that 32 00:01:42,800 --> 00:01:46,000 Speaker 1: is we think that's really designed to appeal to American 33 00:01:46,040 --> 00:01:48,880 Speaker 1: prejudices because anyone that's been in China or Asia, they 34 00:01:48,920 --> 00:01:51,680 Speaker 1: look exotic to us. You know, I've been to these 35 00:01:51,720 --> 00:01:53,960 Speaker 1: and you can see them. You know, they're slaughtering the 36 00:01:54,000 --> 00:01:56,080 Speaker 1: pig in the back, and so it's as fresh as 37 00:01:56,080 --> 00:01:59,360 Speaker 1: it could possibly be. But these are everywhere in China, 38 00:01:59,440 --> 00:02:02,040 Speaker 1: and so this idea that it just came from the 39 00:02:02,080 --> 00:02:05,280 Speaker 1: wet market, we think that's too convenient, especially with this 40 00:02:05,360 --> 00:02:08,560 Speaker 1: lab right nearby. So if we were betting, we would 41 00:02:08,800 --> 00:02:13,080 Speaker 1: we would bet that this just unfortunately leaked, and you know, 42 00:02:13,120 --> 00:02:15,200 Speaker 1: then China had to figure out, Okay, how do they 43 00:02:15,240 --> 00:02:17,400 Speaker 1: try to cover for it? And one of the things 44 00:02:17,800 --> 00:02:19,560 Speaker 1: I think they said is they wanted us to all 45 00:02:19,560 --> 00:02:22,519 Speaker 1: believe the wet market story and a bunch of other things. Unfortunately, 46 00:02:22,600 --> 00:02:25,600 Speaker 1: and it spread so fast. Back in January of this year, 47 00:02:25,760 --> 00:02:28,840 Speaker 1: I said it was airborne. Now, nobody officially was saying 48 00:02:28,840 --> 00:02:30,960 Speaker 1: it at that time. You know, they were saying that 49 00:02:31,000 --> 00:02:33,040 Speaker 1: you get it when someone spits on you or something. 50 00:02:33,080 --> 00:02:35,680 Speaker 1: Then I said, no, no, no, no, it doesn't spread 51 00:02:35,720 --> 00:02:38,640 Speaker 1: that fast by that. There's not that much human contact 52 00:02:38,960 --> 00:02:43,079 Speaker 1: that close. It's airborne. It's all over the place, exactly right. 53 00:02:43,160 --> 00:02:46,680 Speaker 1: And in fact, in January, doctor Tedros, the head of 54 00:02:46,720 --> 00:02:50,240 Speaker 1: the World Health Organization, was still insisting that there was 55 00:02:50,280 --> 00:02:53,400 Speaker 1: no evidence even of human to human transmission. And then 56 00:02:53,440 --> 00:02:56,920 Speaker 1: once they conceded that even until just a few weeks ago, 57 00:02:56,960 --> 00:02:59,079 Speaker 1: they said, well, the primary way that this is probably 58 00:02:59,080 --> 00:03:02,880 Speaker 1: transmitted is their surfaces or by large droplets. And so 59 00:03:02,919 --> 00:03:05,040 Speaker 1: that's the sort of logic of this six foot rule, 60 00:03:05,080 --> 00:03:07,120 Speaker 1: as it well, if it's sort of large spit and 61 00:03:07,240 --> 00:03:09,760 Speaker 1: things like that, if you wear a cheap mask, maybe 62 00:03:09,760 --> 00:03:12,600 Speaker 1: it'll prevent that. Well, there's a lot of evidence now 63 00:03:12,639 --> 00:03:16,920 Speaker 1: that this is largely transmitted by aerosol, so essentially smoke. 64 00:03:17,000 --> 00:03:19,760 Speaker 1: I mean, these are tiny particles that, yeah, in principle, 65 00:03:19,800 --> 00:03:22,440 Speaker 1: they can be captured by a properly fitted in ninety 66 00:03:22,440 --> 00:03:25,280 Speaker 1: five mask, which almost no one wears, and no one's 67 00:03:25,320 --> 00:03:28,720 Speaker 1: going to wear it properly fitted, and so that's the 68 00:03:28,800 --> 00:03:33,480 Speaker 1: basic reality. That's how these viral respiratory viruses tend to 69 00:03:33,520 --> 00:03:36,800 Speaker 1: get transmitted. And what that essentially means is, look, unless 70 00:03:36,800 --> 00:03:40,160 Speaker 1: you're going to spread everybody out across the plains in 71 00:03:40,240 --> 00:03:42,920 Speaker 1: South Dakota and put them in hazmat suits, this stuff 72 00:03:43,000 --> 00:03:45,880 Speaker 1: is going to spread. What do you recommend in your group, 73 00:03:46,000 --> 00:03:48,160 Speaker 1: j what do you recommend that we should start doing. 74 00:03:48,880 --> 00:03:52,720 Speaker 1: What we think that we should do is what Sweden did, 75 00:03:52,840 --> 00:03:56,200 Speaker 1: with one exception. We think that Sweden's approach was basically right, 76 00:03:56,280 --> 00:03:59,680 Speaker 1: except they did not focus on the nursing homes. Sweden 77 00:04:00,080 --> 00:04:02,839 Speaker 1: has a huge number of its population in nursing homes, 78 00:04:02,880 --> 00:04:05,960 Speaker 1: so a lot of the retired folks in Sweden are 79 00:04:06,080 --> 00:04:08,880 Speaker 1: sort of congregated together in these large nursing homes. And 80 00:04:09,120 --> 00:04:11,960 Speaker 1: you know, early on they decided because their public health 81 00:04:12,000 --> 00:04:15,320 Speaker 1: minister resisted the pressure and said, Okay, look, this doesn't 82 00:04:15,320 --> 00:04:18,080 Speaker 1: make any sense. We don't have any evidence that lockdowns 83 00:04:18,080 --> 00:04:19,960 Speaker 1: are going to help. This looks like a you know, 84 00:04:20,000 --> 00:04:21,640 Speaker 1: it could be a bad virus, but it's not going 85 00:04:21,720 --> 00:04:23,839 Speaker 1: to be historic, and it doesn't make any sense for 86 00:04:23,920 --> 00:04:27,200 Speaker 1: us to shut our civilization down over that. But what 87 00:04:27,279 --> 00:04:30,279 Speaker 1: they didn't do is focused protection, and they now admit that. 88 00:04:30,360 --> 00:04:33,440 Speaker 1: The Public Health Minister says, yeah, in the future, we're 89 00:04:33,440 --> 00:04:34,840 Speaker 1: going to know to do that, And so that's what 90 00:04:34,880 --> 00:04:37,560 Speaker 1: we actually think should happen. The people that we know 91 00:04:37,640 --> 00:04:40,440 Speaker 1: are at really high risk, do everything we can to 92 00:04:40,520 --> 00:04:43,760 Speaker 1: isolate them and to protect them, to keep their atmosphere 93 00:04:44,400 --> 00:04:47,320 Speaker 1: sanitary and clean, and do the kinds of extreme things 94 00:04:47,320 --> 00:04:49,479 Speaker 1: that you can do for small numbers of people, and 95 00:04:49,520 --> 00:04:52,359 Speaker 1: then let the rest of us use our private knowledge, 96 00:04:52,400 --> 00:04:56,200 Speaker 1: our local knowledge about our own particular situation, just like 97 00:04:56,320 --> 00:04:59,400 Speaker 1: we always do. We all do different things in the winter. 98 00:04:59,480 --> 00:05:01,200 Speaker 1: If we hear the flu is bad, or if we 99 00:05:01,480 --> 00:05:04,039 Speaker 1: are weak and have weak lungs, you know, you're going 100 00:05:04,120 --> 00:05:06,440 Speaker 1: to do something different than maybe a twenty year old 101 00:05:06,480 --> 00:05:09,560 Speaker 1: football player. But that's actually how it ought to be handled, 102 00:05:09,560 --> 00:05:12,279 Speaker 1: because really what you want to have happen is the 103 00:05:12,320 --> 00:05:14,800 Speaker 1: people that are at very very little risk of this. 104 00:05:15,400 --> 00:05:17,600 Speaker 1: You want them to build up immunity, and so if 105 00:05:17,600 --> 00:05:21,080 Speaker 1: the large percentage of the population has at least some immunity, 106 00:05:21,360 --> 00:05:24,039 Speaker 1: then those people that are really high risk are much 107 00:05:24,279 --> 00:05:27,559 Speaker 1: safer because they're less likely to catch it from someone else. 108 00:05:27,640 --> 00:05:30,400 Speaker 1: Are the numbers real? Jay? I mean what, I still 109 00:05:30,440 --> 00:05:34,240 Speaker 1: don't hear any media people reporting on flu deaths. You know, 110 00:05:34,320 --> 00:05:38,039 Speaker 1: we have upwards of sixty upwards of sixty thousand people 111 00:05:38,080 --> 00:05:40,520 Speaker 1: die every year, they say from the flu. I don't 112 00:05:40,560 --> 00:05:43,080 Speaker 1: hear anything about that. I have a feeling these numbers 113 00:05:43,080 --> 00:05:46,640 Speaker 1: that are we're hearing are inflated and that they've got 114 00:05:46,680 --> 00:05:49,560 Speaker 1: a whole mixture of all other deaths tossed into that. 115 00:05:50,200 --> 00:05:53,320 Speaker 1: We absolutely think that's probably the case. Something that honestly 116 00:05:53,320 --> 00:05:55,040 Speaker 1: I didn't know until we started working on this book, 117 00:05:55,240 --> 00:05:57,840 Speaker 1: is it even flu deaths. We figure out what those 118 00:05:57,880 --> 00:06:01,919 Speaker 1: are after the fact. So this illusion this year that 119 00:06:02,000 --> 00:06:05,520 Speaker 1: you can actually count these deaths in real time, day 120 00:06:05,560 --> 00:06:08,320 Speaker 1: by day, you know, or looking at these tickers, that's 121 00:06:08,320 --> 00:06:10,720 Speaker 1: actually not even possible. And so the way we figure 122 00:06:10,760 --> 00:06:13,880 Speaker 1: out flu deaths after the fact is we basically tabulate 123 00:06:14,040 --> 00:06:17,480 Speaker 1: all the death certificates, everything that everyone sort of died from. 124 00:06:17,680 --> 00:06:20,839 Speaker 1: And then they're actually complex but fairly accurate models that 125 00:06:20,920 --> 00:06:23,120 Speaker 1: allow us to say, okay, what were the excess death 126 00:06:23,200 --> 00:06:26,040 Speaker 1: for that year, and then a certain number is assigned 127 00:06:26,080 --> 00:06:29,440 Speaker 1: to flu, but every individual flucase is not counted in 128 00:06:29,480 --> 00:06:33,640 Speaker 1: that way, and so we know that essentially the coronavirus 129 00:06:33,839 --> 00:06:36,719 Speaker 1: is killing a lot of the people that are otherwise 130 00:06:36,839 --> 00:06:38,720 Speaker 1: killed by the flu. I mean, the realities, we all 131 00:06:38,760 --> 00:06:41,200 Speaker 1: have a limited lifespan, and we all end up dying 132 00:06:41,200 --> 00:06:43,839 Speaker 1: of something, and so flu often kills us in some 133 00:06:43,960 --> 00:06:46,760 Speaker 1: complication from the flu kills a large number of people. 134 00:06:47,040 --> 00:06:49,920 Speaker 1: Something's a flu by itself, it sort of turns into 135 00:06:49,960 --> 00:06:51,719 Speaker 1: pneumonia or something like that. And so if you have 136 00:06:51,760 --> 00:06:56,200 Speaker 1: another virus, in this case, a coronavirus sort of occupying 137 00:06:56,440 --> 00:07:01,440 Speaker 1: the same ecological space is in fluenza, what's likely happened 138 00:07:01,560 --> 00:07:03,480 Speaker 1: is that a lot of people that might very well 139 00:07:03,520 --> 00:07:06,440 Speaker 1: have died of the flu died of this this year. 140 00:07:06,480 --> 00:07:08,360 Speaker 1: And we're going to know that in twenty twenty one, 141 00:07:08,360 --> 00:07:09,920 Speaker 1: we're going to be able to look back. So CDC 142 00:07:10,120 --> 00:07:12,000 Speaker 1: is going to have good numbers and we're going to 143 00:07:12,120 --> 00:07:15,280 Speaker 1: be able to cash that out. Unfortunately, right now, all 144 00:07:15,320 --> 00:07:19,160 Speaker 1: the incentive is to attribute absolutely every possible death, in 145 00:07:19,200 --> 00:07:22,600 Speaker 1: every possible sickness to the coronavirus. Everyone is sort of 146 00:07:22,640 --> 00:07:26,000 Speaker 1: invested in that, either public health officials, it's certainly the media. 147 00:07:26,040 --> 00:07:29,760 Speaker 1: They're invested in that, and so they are almost certainly inflated. 148 00:07:29,800 --> 00:07:33,640 Speaker 1: We're confusing dying with the coronavirus, you might have died 149 00:07:33,640 --> 00:07:36,400 Speaker 1: of absolutely anything. In fact, they're people that died suicide 150 00:07:36,400 --> 00:07:39,040 Speaker 1: that because they tested positive or are tagged as a 151 00:07:39,080 --> 00:07:41,880 Speaker 1: coronavirus death. That's going to have to get washed out. 152 00:07:41,920 --> 00:07:44,080 Speaker 1: And so there's kind of two hundred thousand deaths that 153 00:07:44,120 --> 00:07:46,760 Speaker 1: we're hearing about. We think it's actually the realities it's 154 00:07:46,800 --> 00:07:48,880 Speaker 1: going to be much lower than that, but we're not 155 00:07:48,920 --> 00:07:50,680 Speaker 1: going to be able to nail it down probably for 156 00:07:50,720 --> 00:07:55,000 Speaker 1: a year. Jay Johnson and Johnson has delayed its vaccine trial. 157 00:07:55,360 --> 00:07:58,240 Speaker 1: This is now the second pharmaceutical company to have some 158 00:07:58,320 --> 00:08:01,760 Speaker 1: kind of problem. Yet, you know, we hear words that 159 00:08:01,840 --> 00:08:05,120 Speaker 1: they might mandate a vaccine. Who in God's name would 160 00:08:05,160 --> 00:08:08,440 Speaker 1: want a vaccine when it's not tried and true, that's 161 00:08:08,440 --> 00:08:11,400 Speaker 1: exactly right. I mean, look, if this were Ebola and 162 00:08:11,720 --> 00:08:14,000 Speaker 1: everybody was looking around and saying, okay, I've got a 163 00:08:14,160 --> 00:08:16,720 Speaker 1: you know, a thirty percent chance of dying unless I 164 00:08:16,800 --> 00:08:20,080 Speaker 1: do something. Okay, then that's a different risk calculation. But 165 00:08:20,120 --> 00:08:23,320 Speaker 1: if you're twenty five years old, you're just basically at 166 00:08:23,360 --> 00:08:25,680 Speaker 1: no risk of death from this coronavirus. And so the 167 00:08:25,760 --> 00:08:29,960 Speaker 1: idea that I'm going to take this vaccine for a coronavirus, 168 00:08:29,960 --> 00:08:32,199 Speaker 1: which by the way, we have never approved, the FDA 169 00:08:32,280 --> 00:08:35,480 Speaker 1: has never approved a vaccine for a coronavirus, and you're 170 00:08:35,480 --> 00:08:38,160 Speaker 1: going to take this thing it's untested, that was produced 171 00:08:38,480 --> 00:08:41,000 Speaker 1: in a matter of months, that the risk is just 172 00:08:41,160 --> 00:08:44,160 Speaker 1: it's astronomical. And so I certainly wouldn't do it for myself. 173 00:08:44,200 --> 00:08:46,360 Speaker 1: I'm in my fifties, I wouldn't do it. And if 174 00:08:46,360 --> 00:08:49,120 Speaker 1: I were in my twenties or thirties or forties, absolutely, 175 00:08:49,160 --> 00:08:50,960 Speaker 1: there's no way that we're going to do that. And 176 00:08:51,000 --> 00:08:53,520 Speaker 1: I think that we need to not be imagining that 177 00:08:53,960 --> 00:08:56,600 Speaker 1: a good vaccine is going to be right around the corner. 178 00:08:56,800 --> 00:08:58,640 Speaker 1: I don't mean like people talking about it. I wish 179 00:08:58,679 --> 00:09:01,000 Speaker 1: the President wouldn't talk about it because it sort of 180 00:09:01,040 --> 00:09:04,360 Speaker 1: gives another argument for maintaining the lockdowns. They'll say, well, 181 00:09:04,679 --> 00:09:07,840 Speaker 1: vaccine is just around the corner. Let's just keep everything lockdown. 182 00:09:07,880 --> 00:09:10,240 Speaker 1: And keep the kids out of school until we get one. 183 00:09:10,360 --> 00:09:14,000 Speaker 1: That's a crazy strategy. Would you open up all schools 184 00:09:14,080 --> 00:09:16,640 Speaker 1: oruld you open up all concerts? Would you open up 185 00:09:16,679 --> 00:09:21,680 Speaker 1: all sporting events to one percent population? I would absolutely 186 00:09:21,679 --> 00:09:24,320 Speaker 1: open up all the schools. I think that honestly, I 187 00:09:24,360 --> 00:09:26,320 Speaker 1: think that that's the sort of thing that ought to 188 00:09:26,360 --> 00:09:29,840 Speaker 1: be at the discretion of local cities and states. It's 189 00:09:29,920 --> 00:09:32,400 Speaker 1: good that we are able to try different things in 190 00:09:32,440 --> 00:09:35,559 Speaker 1: different places. It's good, for instance, the government to Santis 191 00:09:35,559 --> 00:09:38,240 Speaker 1: and in Florida was able to he looked at a 192 00:09:38,280 --> 00:09:41,160 Speaker 1: lot of the same science. He actually consulted the scientists 193 00:09:41,360 --> 00:09:43,400 Speaker 1: and he decided, we're not going to shut down the state. 194 00:09:43,760 --> 00:09:45,959 Speaker 1: We're going to protect nursing homes and we're going to 195 00:09:46,000 --> 00:09:47,800 Speaker 1: focus on that. And so I think it's good that 196 00:09:47,840 --> 00:09:50,920 Speaker 1: you have these kind of a bit of local control 197 00:09:51,040 --> 00:09:53,960 Speaker 1: to be able to do different things, because a city, 198 00:09:54,080 --> 00:09:58,000 Speaker 1: in principles, should be able to bob and we've given 199 00:09:58,080 --> 00:10:01,520 Speaker 1: new evidence when you're trying to do things is centralized, 200 00:10:01,720 --> 00:10:03,440 Speaker 1: trying to do it at the federal level or even 201 00:10:04,000 --> 00:10:06,680 Speaker 1: at the state level, you can't really adjust to those things. 202 00:10:06,720 --> 00:10:09,880 Speaker 1: And as we've seen in some parts of the country, 203 00:10:09,920 --> 00:10:13,640 Speaker 1: the coronavirus seems not to have much of effect. Of course, 204 00:10:13,679 --> 00:10:17,200 Speaker 1: it hit New York and Connecticut in New Jersey really 205 00:10:17,200 --> 00:10:19,280 Speaker 1: really hard, and so I think it makes sense that 206 00:10:19,400 --> 00:10:22,480 Speaker 1: maybe in New York, under certain circumstances, they'd want to 207 00:10:22,520 --> 00:10:26,120 Speaker 1: limit large numbers of people in large concerts, at least temporarily. 208 00:10:26,440 --> 00:10:30,280 Speaker 1: Doesn't make sense that should be imposed upon everyone. Well, absolutely, 209 00:10:30,480 --> 00:10:32,160 Speaker 1: And I'll tell you Jay, what I think is the 210 00:10:32,240 --> 00:10:36,400 Speaker 1: dumbest compelling thing I've ever heard, and that is you 211 00:10:36,480 --> 00:10:40,160 Speaker 1: must wear a mask walking into the restaurant, but you 212 00:10:40,240 --> 00:10:42,720 Speaker 1: can take it off when you sit down. Now, obviously 213 00:10:42,760 --> 00:10:45,040 Speaker 1: you can't eat with a mask on, but my point 214 00:10:45,200 --> 00:10:48,160 Speaker 1: is if you have to wear it, if you're mandated 215 00:10:48,200 --> 00:10:50,600 Speaker 1: to wear it walking in, but you can sit down 216 00:10:50,640 --> 00:10:52,880 Speaker 1: at a table, take it off, and as long as 217 00:10:52,920 --> 00:10:55,559 Speaker 1: you're at the table it can be off. I mean, 218 00:10:55,559 --> 00:10:58,600 Speaker 1: that makes no sense. It either works or it either 219 00:10:58,679 --> 00:11:01,720 Speaker 1: works or it doesn't work. It's one or the other. 220 00:11:01,800 --> 00:11:03,960 Speaker 1: And the reality is that when it comes to mask 221 00:11:04,360 --> 00:11:06,640 Speaker 1: the last thing you want to be doing is taking 222 00:11:06,640 --> 00:11:09,080 Speaker 1: them on and off. There it's filtering stuff on its 223 00:11:09,120 --> 00:11:12,840 Speaker 1: outside surface, you're touching it on your hands. It's really honestly, 224 00:11:12,880 --> 00:11:16,480 Speaker 1: I think it's just pure hygiene theater. And it's another 225 00:11:16,520 --> 00:11:18,880 Speaker 1: one of these things that we've gotten sort of forced 226 00:11:18,920 --> 00:11:22,959 Speaker 1: into doing. And now a lot of officials are invested 227 00:11:23,000 --> 00:11:25,520 Speaker 1: in that, and frankly, a lot of people. I have neighbors, 228 00:11:25,559 --> 00:11:28,840 Speaker 1: Unfortunately in our neighborhood and Suburbert and Washington, DC, we're 229 00:11:28,840 --> 00:11:32,800 Speaker 1: walking around in the middle of the sunshine and neighbors 230 00:11:32,800 --> 00:11:35,080 Speaker 1: will scal at us because we don't have masks on. 231 00:11:35,160 --> 00:11:38,240 Speaker 1: We've we've kind of internalized this thing. Unfortunately. Where do 232 00:11:38,360 --> 00:11:41,600 Speaker 1: people get your book The Price of Panic? Anywhere books 233 00:11:41,600 --> 00:11:43,800 Speaker 1: are sold, Barnes and Noble and Amazon dot com. You 234 00:11:43,760 --> 00:11:46,720 Speaker 1: can just actually google the name The Price of Panic. Now, 235 00:11:47,040 --> 00:11:50,480 Speaker 1: if you believe Poles, Joe Biden is going to slaughter 236 00:11:50,640 --> 00:11:53,160 Speaker 1: President Donald Trump in the election. I think it's going 237 00:11:53,200 --> 00:11:57,520 Speaker 1: to be very very close. I could not predict right 238 00:11:57,559 --> 00:12:01,000 Speaker 1: now who I think would win. But there's no question 239 00:12:01,160 --> 00:12:05,000 Speaker 1: that COVID nineteen has helped Joe Biden and has hurt 240 00:12:05,040 --> 00:12:07,840 Speaker 1: Donald Trump. What do you think, absolutely, I do think 241 00:12:07,840 --> 00:12:10,679 Speaker 1: that's true. I'm as skeptical of the polls now as 242 00:12:10,720 --> 00:12:13,199 Speaker 1: I was in twenty sixteen. I'm more skeptical now that 243 00:12:13,280 --> 00:12:17,920 Speaker 1: we've had two sixteen in the rear view, I've seen that. Sure, yeah, 244 00:12:18,080 --> 00:12:22,280 Speaker 1: really strong incentive for Trump supporters actually not to tell 245 00:12:22,320 --> 00:12:24,800 Speaker 1: pollsters that, but I do think. I mean, the reality 246 00:12:24,880 --> 00:12:28,640 Speaker 1: is that the president had historically low levels of unemployment, 247 00:12:28,679 --> 00:12:31,640 Speaker 1: the economy who's going gangbusters, and then of course the 248 00:12:31,679 --> 00:12:35,200 Speaker 1: lockdowns just shut that down. I think. On the other side, though, 249 00:12:35,280 --> 00:12:38,040 Speaker 1: Joe Biden, so far as I can tell, his policy 250 00:12:38,080 --> 00:12:41,760 Speaker 1: position on this is that the lockdowns are devastating and 251 00:12:41,840 --> 00:12:45,520 Speaker 1: that's President Trump's fault, and therefore we need more lockdowns. 252 00:12:45,520 --> 00:12:47,680 Speaker 1: So far as I could tell, that's his position, and 253 00:12:47,720 --> 00:12:52,480 Speaker 1: so it's not that he has a stronger position. Amazing 254 00:12:52,679 --> 00:12:55,160 Speaker 1: is well, who's going to have the guts to take 255 00:12:55,200 --> 00:12:59,680 Speaker 1: these lockdowns away? Well, honestly, I think President Trump is 256 00:12:59,720 --> 00:13:01,800 Speaker 1: just about there if you look at the things he's 257 00:13:01,840 --> 00:13:03,839 Speaker 1: been saying in the last couple of days. In fact, 258 00:13:03,880 --> 00:13:07,959 Speaker 1: he took notice that the Special Envoy for COVID nineteen 259 00:13:08,040 --> 00:13:11,440 Speaker 1: from the World Health Organization three days ago actually said 260 00:13:11,520 --> 00:13:15,320 Speaker 1: he said publicly, we think governments need to quit using 261 00:13:15,720 --> 00:13:19,079 Speaker 1: lockdowns as their primary strategy. In fact, the main thing 262 00:13:19,080 --> 00:13:22,160 Speaker 1: the lockdowns have done is devastated economies that have specially 263 00:13:22,200 --> 00:13:25,320 Speaker 1: devastated the poor the media is mostly not reporting that 264 00:13:25,400 --> 00:13:28,480 Speaker 1: in the United States. But I noticed President Trump noticed 265 00:13:28,520 --> 00:13:31,319 Speaker 1: it today and said exactly right, and called for democratic 266 00:13:31,360 --> 00:13:33,560 Speaker 1: governors to open up. And so at least from what 267 00:13:33,640 --> 00:13:36,120 Speaker 1: he can do, it is bully pulpit. As the president, 268 00:13:36,400 --> 00:13:39,960 Speaker 1: he can at least badger governors that are locking down. 269 00:13:40,000 --> 00:13:42,280 Speaker 1: But of course, also only in our constitutional system, it's 270 00:13:42,280 --> 00:13:44,319 Speaker 1: going to be up to the governors to do that. Jay, 271 00:13:44,360 --> 00:13:47,559 Speaker 1: I couldn't believe some of the major news networks, Cable 272 00:13:47,600 --> 00:13:52,359 Speaker 1: Network specifically, when this started in this country back in January, 273 00:13:53,040 --> 00:13:57,800 Speaker 1: daily results of infections and deaths scrawling across the screen 274 00:13:58,600 --> 00:14:02,600 Speaker 1: every hour on the hour, all the time. And I'm 275 00:14:02,640 --> 00:14:05,400 Speaker 1: looking at this and I'm going crazy. And again I 276 00:14:05,760 --> 00:14:09,360 Speaker 1: saved myself. At no time have they ever in their 277 00:14:09,440 --> 00:14:14,080 Speaker 1: history reported on flu deaths with crawls and scrolls and 278 00:14:14,200 --> 00:14:17,040 Speaker 1: bulletins and things like that. And I'm saying to myself, 279 00:14:17,080 --> 00:14:21,000 Speaker 1: they're gonna destroy people's minds with this stuff. I think 280 00:14:21,000 --> 00:14:23,360 Speaker 1: you are exactly right. I mean, honestly, it was that 281 00:14:23,480 --> 00:14:25,960 Speaker 1: conviction that led us to buckle down and write this 282 00:14:26,000 --> 00:14:29,320 Speaker 1: book in three months. Essentially is because we realized, Okay, 283 00:14:29,320 --> 00:14:32,240 Speaker 1: we're dealing, yes with a viral contagion. But the real 284 00:14:32,240 --> 00:14:35,000 Speaker 1: story of twenty twenty is this social contagion, and it's 285 00:14:35,000 --> 00:14:38,080 Speaker 1: a social contagion that was aided and embedded by the 286 00:14:38,120 --> 00:14:42,240 Speaker 1: mainstream media and by the immediacy of social media, in 287 00:14:42,280 --> 00:14:45,720 Speaker 1: which we had these things brought directly to our eyes. 288 00:14:45,800 --> 00:14:48,360 Speaker 1: Some weird outlier event that's maybe a one in a 289 00:14:48,400 --> 00:14:51,800 Speaker 1: billion event. Suddenly there's a video of a man dying 290 00:14:51,840 --> 00:14:54,000 Speaker 1: on the street in China. Everyone sees it, and we 291 00:14:54,040 --> 00:14:57,040 Speaker 1: think that's going to happen everywhere. This idea that you 292 00:14:57,080 --> 00:15:00,840 Speaker 1: can even count the death in real time is illusory. 293 00:15:00,960 --> 00:15:04,640 Speaker 1: But to do that to the population all day, every day, 294 00:15:04,680 --> 00:15:06,840 Speaker 1: it was bound to lead to a panic. And that's 295 00:15:06,840 --> 00:15:09,560 Speaker 1: why still the Poles say that about half of the 296 00:15:09,600 --> 00:15:12,960 Speaker 1: population are saying, well, they're scared to go out. They're 297 00:15:13,000 --> 00:15:16,240 Speaker 1: certainly scared to go outside without a mask. That's who 298 00:15:16,320 --> 00:15:18,520 Speaker 1: we blame for that. I think ultimately we've got to 299 00:15:18,520 --> 00:15:22,040 Speaker 1: blame the mainstream media that has programmed us to think 300 00:15:22,080 --> 00:15:24,840 Speaker 1: this way over the last several months. Every month, two 301 00:15:24,960 --> 00:15:29,480 Speaker 1: hundred and twenty some thousand Americans die from everything. Every month, 302 00:15:29,800 --> 00:15:33,440 Speaker 1: just in America, two hundred and twenty thousand Americans are 303 00:15:33,520 --> 00:15:37,880 Speaker 1: dying from heart attacks, car crashes, suicides, falling out of bed, 304 00:15:38,320 --> 00:15:42,040 Speaker 1: you name it, they're dying. They don't report that, of 305 00:15:42,040 --> 00:15:44,280 Speaker 1: course not. You know, we take this for granted, and 306 00:15:44,360 --> 00:15:47,560 Speaker 1: that's the sort of thing we could whip ourselves into 307 00:15:47,560 --> 00:15:50,760 Speaker 1: a panic all day, every day if the media decided 308 00:15:50,800 --> 00:15:53,520 Speaker 1: to focus on any one subset of those desks that 309 00:15:53,640 --> 00:15:56,560 Speaker 1: you just mentioned. They decided to focus on this, and 310 00:15:56,680 --> 00:15:59,320 Speaker 1: most people aren't walking around with that perspective. We don't 311 00:15:59,400 --> 00:16:01,800 Speaker 1: really know how many people die every day, or every 312 00:16:01,840 --> 00:16:03,800 Speaker 1: month or every week, and so we don't have a 313 00:16:03,840 --> 00:16:05,960 Speaker 1: way of putting it in perspective, and so we end 314 00:16:06,040 --> 00:16:11,600 Speaker 1: up overreacting, and so the overreaction ends up costing more lives, 315 00:16:12,360 --> 00:16:15,040 Speaker 1: more of our fortunes, more of our psychological well being 316 00:16:15,320 --> 00:16:18,000 Speaker 1: than the virus itself. That's the true tragedy of it. 317 00:16:18,360 --> 00:16:21,600 Speaker 1: Listen to more Coast to Coast AM every weeknight at 318 00:16:21,640 --> 00:16:24,520 Speaker 1: one am Eastern, and go to Coast to Coast am 319 00:16:24,640 --> 00:16:25,680 Speaker 1: dot com for more