1 00:00:00,360 --> 00:00:04,000 Speaker 1: This week, Jake Tapper made the statement that based on 2 00:00:04,400 --> 00:00:09,360 Speaker 1: new reports that have come out that show that students 3 00:00:10,440 --> 00:00:13,760 Speaker 1: lost a lot of their educational opportunity, they did not 4 00:00:13,840 --> 00:00:15,960 Speaker 1: advance the way they were supposed to. These are real 5 00:00:16,120 --> 00:00:20,720 Speaker 1: consequences for real people because of the school lockdowns. As 6 00:00:20,760 --> 00:00:24,560 Speaker 1: our friend Coridangelis says, remote learning turned out to be 7 00:00:24,720 --> 00:00:30,280 Speaker 1: remotely learning. We saw businesses shut down, multi generational mom 8 00:00:30,320 --> 00:00:36,560 Speaker 1: and pop businesses shut down that never reopened. Amazon boomed, Walmart, 9 00:00:36,600 --> 00:00:41,159 Speaker 1: dot Com boom, Target boomed. The big companies, oh, they 10 00:00:41,360 --> 00:00:44,639 Speaker 1: boomed to the exclusion of the mom and pop businesses 11 00:00:44,640 --> 00:00:49,120 Speaker 1: that make a small town, that make the interactive experience special. 12 00:00:49,680 --> 00:00:52,919 Speaker 1: You know, brick and mortar was already suffering compared to Amazon, 13 00:00:52,920 --> 00:00:55,680 Speaker 1: which doesn't have to pay for the real estate to 14 00:00:55,720 --> 00:00:58,840 Speaker 1: be available. When your kid needs something, you know at 15 00:00:58,960 --> 00:01:01,600 Speaker 1: night before you go, where you can engage your neighbor 16 00:01:01,600 --> 00:01:04,920 Speaker 1: whose kids go to school with your kids. Yet another example. 17 00:01:05,200 --> 00:01:08,640 Speaker 1: We've seen what's happened with the vaccines, and are people 18 00:01:08,760 --> 00:01:10,959 Speaker 1: dying from that? Are their conditions worsening? 19 00:01:11,040 --> 00:01:11,600 Speaker 2: I think so. 20 00:01:12,400 --> 00:01:15,840 Speaker 1: We saw people who lost their jobs, the world lost, 21 00:01:16,080 --> 00:01:19,560 Speaker 1: Americans lost their mind, and it wasn't because of COVID. 22 00:01:19,760 --> 00:01:22,880 Speaker 1: It's because of what they did that all this damage 23 00:01:22,920 --> 00:01:26,920 Speaker 1: is felt. Justin Hart has been all over this. He 24 00:01:27,080 --> 00:01:31,280 Speaker 1: is the founder of rationalground dot com and Rational is 25 00:01:31,319 --> 00:01:34,920 Speaker 1: what we need more of. His new book just released, 26 00:01:35,520 --> 00:01:39,959 Speaker 1: Gone Viral, How COVID Drove the World Insane. So Justin 27 00:01:40,040 --> 00:01:43,520 Speaker 1: I often ask this question, why did you write this book? 28 00:01:43,640 --> 00:01:46,080 Speaker 1: Is it cathartic to get it off your chest? Is 29 00:01:46,120 --> 00:01:48,360 Speaker 1: it to prevent this from happening again? Is it time 30 00:01:48,400 --> 00:01:51,160 Speaker 1: we start pointing fingers at the Faucies but also the 31 00:01:51,200 --> 00:01:52,920 Speaker 1: local governments and doctors? 32 00:01:53,200 --> 00:01:54,120 Speaker 2: Why write this book? 33 00:01:54,280 --> 00:01:57,280 Speaker 3: All of the above? I think primarily this is kind 34 00:01:57,280 --> 00:02:00,480 Speaker 3: of a defense. It's a weapon that you can use 35 00:02:01,120 --> 00:02:04,160 Speaker 3: to use against these tactics. You know, Michael, they're going 36 00:02:04,200 --> 00:02:06,600 Speaker 3: to bring these back again. If it's not for the 37 00:02:06,640 --> 00:02:10,000 Speaker 3: next wave of COVID or the next pandemic, it'll be 38 00:02:10,040 --> 00:02:12,840 Speaker 3: for the next boogeyman that they conjure up, maybe climate 39 00:02:12,919 --> 00:02:15,840 Speaker 3: change activism, you know it. And the reason is is 40 00:02:15,840 --> 00:02:18,440 Speaker 3: that they know that they can get you under their thumb. 41 00:02:18,520 --> 00:02:22,200 Speaker 3: They thought, for certain, doctor Fauci wouldn't blink twice to 42 00:02:22,320 --> 00:02:25,320 Speaker 3: weld you inside your house, right, And that was the 43 00:02:25,400 --> 00:02:29,359 Speaker 3: crazy thing about this pandemic is they never considered what 44 00:02:29,400 --> 00:02:31,440 Speaker 3: the flip side of this would be. Now that's my 45 00:02:31,600 --> 00:02:35,000 Speaker 3: kindest interpretation. The worst interpretation is they knew it and 46 00:02:35,040 --> 00:02:38,400 Speaker 3: they were perfectly fine with the consequences. I mean, just 47 00:02:38,440 --> 00:02:40,680 Speaker 3: take one stat that we cover in the book, that 48 00:02:40,760 --> 00:02:44,000 Speaker 3: should you'll cross political boundaries. We think that in the 49 00:02:44,040 --> 00:02:47,120 Speaker 3: spring of twenty twenty, Michael, we missed about two hundred 50 00:02:47,120 --> 00:02:51,919 Speaker 3: and fifty thousand cases of potential child abuse. Why because 51 00:02:51,919 --> 00:02:55,760 Speaker 3: it's typically sharp eyed teachers that administrators who catch those things, 52 00:02:56,040 --> 00:02:59,280 Speaker 3: and kids weren't in school those you know. We go 53 00:02:59,360 --> 00:03:01,680 Speaker 3: through all of the myths that they bring up, doctor 54 00:03:01,720 --> 00:03:05,320 Speaker 3: Fauci and his health overlords, and we use this as templates, 55 00:03:05,320 --> 00:03:08,799 Speaker 3: We use this as stories. We use data to basically 56 00:03:08,840 --> 00:03:13,720 Speaker 3: convey to people your audience and help them understand what happened. 57 00:03:14,040 --> 00:03:16,760 Speaker 3: How do we make sure this never happens again? 58 00:03:17,160 --> 00:03:17,800 Speaker 2: What did happen? 59 00:03:18,000 --> 00:03:22,480 Speaker 3: Justin look, what transpired was a leak we believe out 60 00:03:22,520 --> 00:03:27,000 Speaker 3: of China. The virus came across the world. It was 61 00:03:27,040 --> 00:03:31,600 Speaker 3: a novel virus. But its impact compared to most pandemic viruses, 62 00:03:31,680 --> 00:03:34,560 Speaker 3: as I'm told by our experts at Rational Ground, is 63 00:03:34,840 --> 00:03:38,560 Speaker 3: basically moderate. Compared to the nineteen eighteen pandemic, where the 64 00:03:38,600 --> 00:03:41,640 Speaker 3: average age of death was twenty nine years old. The 65 00:03:42,120 --> 00:03:45,280 Speaker 3: median age of death here with COVID was eighty years old, 66 00:03:45,280 --> 00:03:48,280 Speaker 3: which is a very very different impact on society. And 67 00:03:48,560 --> 00:03:51,280 Speaker 3: we would be having a very different conversation now if 68 00:03:51,400 --> 00:03:54,800 Speaker 3: hundreds of thousands of millennials and young children were dying 69 00:03:54,840 --> 00:03:57,040 Speaker 3: on a regular basis over the year. But they weren't. 70 00:03:57,440 --> 00:04:00,240 Speaker 3: And so what happened was the government, doctor Fouchi, the 71 00:04:00,320 --> 00:04:03,280 Speaker 3: powers that be, they're just saying the quiet part out loud. 72 00:04:03,360 --> 00:04:06,880 Speaker 3: They really saw this as an opportunity to insert themselves 73 00:04:06,920 --> 00:04:09,120 Speaker 3: and as they say, as the World Economic form, they 74 00:04:09,160 --> 00:04:12,160 Speaker 3: want to change the bend of history. They want to 75 00:04:12,240 --> 00:04:15,280 Speaker 3: change modernity, to bend to their will, as doctor Fouchi 76 00:04:15,360 --> 00:04:18,000 Speaker 3: put it. And I think it's a really unfortunate thing 77 00:04:18,040 --> 00:04:21,719 Speaker 3: because they saw the opportunity and they never saw the consequences, 78 00:04:21,800 --> 00:04:24,920 Speaker 3: or they didn't think there would be consequences. We believe 79 00:04:24,960 --> 00:04:27,760 Speaker 3: here in November, where there is an election, there might 80 00:04:27,800 --> 00:04:30,040 Speaker 3: be a sea change. I have it on good authority 81 00:04:30,040 --> 00:04:32,320 Speaker 3: there if there's a changing of the guard. They want 82 00:04:32,360 --> 00:04:35,279 Speaker 3: to produce hearings next year, and those hearings will be 83 00:04:35,400 --> 00:04:39,520 Speaker 3: crucial because we need transparency to understand who dropped the 84 00:04:39,520 --> 00:04:42,600 Speaker 3: ball here. And just consider another stat again from the 85 00:04:42,600 --> 00:04:45,600 Speaker 3: spring of twenty twenty. The first people to raise alarms 86 00:04:45,600 --> 00:04:47,880 Speaker 3: to myself and the people that were really kind of 87 00:04:48,040 --> 00:04:52,320 Speaker 3: countering the regular narrative were on collegists Michael cancer doctors 88 00:04:52,360 --> 00:04:54,880 Speaker 3: who came to us and said, either COVID has cured 89 00:04:54,920 --> 00:04:59,360 Speaker 3: cancer or something else is happening. Entirely because they were 90 00:04:59,400 --> 00:05:02,880 Speaker 3: diagnosed half as many cancers as they were the previous 91 00:05:02,960 --> 00:05:06,080 Speaker 3: year in March and April and May, why people were 92 00:05:06,120 --> 00:05:09,640 Speaker 3: too scared to go to the hospital. Doctor Fauci's main 93 00:05:09,680 --> 00:05:12,560 Speaker 3: tool was fear, and he threw it up against the wall. 94 00:05:13,000 --> 00:05:14,919 Speaker 3: But in the book, we cover a bunch of stuff. 95 00:05:14,920 --> 00:05:17,920 Speaker 3: We cover not just those impacts. We cover like strange 96 00:05:17,920 --> 00:05:21,480 Speaker 3: things like the plexiglast decision right tens of millions of 97 00:05:21,520 --> 00:05:26,480 Speaker 3: dollars to make every single retail experience a terrible barrier 98 00:05:26,520 --> 00:05:30,200 Speaker 3: between you and the and the clerk right, and that 99 00:05:30,360 --> 00:05:32,800 Speaker 3: itself turned out to be a very big mistake. We 100 00:05:32,839 --> 00:05:36,800 Speaker 3: think it caused even more exacerbating issues because it's closed 101 00:05:36,800 --> 00:05:39,760 Speaker 3: down the ventilation. It gave another surface to clean. It 102 00:05:39,839 --> 00:05:42,400 Speaker 3: was just an exacerbation, and then, of course we spent 103 00:05:42,480 --> 00:05:45,280 Speaker 3: a lot of time on masks and especially the poignant 104 00:05:45,560 --> 00:05:48,960 Speaker 3: disaster towards our children. The latest numbers out this week 105 00:05:49,000 --> 00:05:52,599 Speaker 3: are that our kids' education is greatly greatly reduced because 106 00:05:52,960 --> 00:05:54,240 Speaker 3: learning at home doesn't work. 107 00:05:54,480 --> 00:05:58,120 Speaker 1: Let's take those in turn, shall we. Let's start with 108 00:05:58,760 --> 00:06:01,279 Speaker 1: the story. Let's start with the virus itself. To me, 109 00:06:01,360 --> 00:06:03,840 Speaker 1: it's not the virus that bothers me, but there are 110 00:06:03,880 --> 00:06:06,400 Speaker 1: things about it that need to be discussed. It's what 111 00:06:06,560 --> 00:06:09,520 Speaker 1: people did that they were already disposed to do as 112 00:06:09,560 --> 00:06:12,240 Speaker 1: a result of it, in much the same way that 113 00:06:12,279 --> 00:06:15,679 Speaker 1: I think school shootings get so much attention, not because 114 00:06:15,680 --> 00:06:18,520 Speaker 1: of how many people die, and not even because it's children, 115 00:06:18,560 --> 00:06:21,600 Speaker 1: but because the left views school shootings as their hook 116 00:06:22,000 --> 00:06:23,279 Speaker 1: to get gun control. 117 00:06:23,480 --> 00:06:25,360 Speaker 2: But let's talk about the actual virus. 118 00:06:25,680 --> 00:06:28,960 Speaker 1: We were first told it that it was a leak 119 00:06:29,760 --> 00:06:33,440 Speaker 1: at Wuhan, than we were kind of at the same 120 00:06:33,440 --> 00:06:35,800 Speaker 1: time we were hearing no, no, it was at a 121 00:06:35,839 --> 00:06:39,679 Speaker 1: bat market, an open air bat market, from people eating 122 00:06:39,680 --> 00:06:42,120 Speaker 1: bat soup. Why do you think it was the case 123 00:06:42,560 --> 00:06:45,320 Speaker 1: that these lies were being told who stood to benefit? 124 00:06:45,520 --> 00:06:47,840 Speaker 3: Well, I think they didn't want to admit it when 125 00:06:48,080 --> 00:06:50,880 Speaker 3: we have the Foyer request now into doctor Faucher. We 126 00:06:50,960 --> 00:06:53,880 Speaker 3: have the emails back. And when the first article came 127 00:06:53,920 --> 00:06:56,919 Speaker 3: out in March of twenty twenty indicating that there was 128 00:06:56,960 --> 00:06:59,120 Speaker 3: a possible leak from the Wuheim lab that may have 129 00:06:59,200 --> 00:07:03,120 Speaker 3: caused this, doctor Fauci immediately emailed his lieutenants and says, 130 00:07:03,520 --> 00:07:06,080 Speaker 3: you need to be by your phones today. You will 131 00:07:06,120 --> 00:07:06,799 Speaker 3: have tasks. 132 00:07:06,880 --> 00:07:07,040 Speaker 2: Right. 133 00:07:07,360 --> 00:07:10,800 Speaker 3: They were urgently concerned because they knew what was over there. Now, 134 00:07:10,840 --> 00:07:15,000 Speaker 3: curiously enough, Michael, your audience can make the determination for themselves. 135 00:07:15,280 --> 00:07:17,960 Speaker 3: The wet market that was they claim, you know, ground 136 00:07:18,080 --> 00:07:20,960 Speaker 3: zero for the penguin and the fish and the turtle 137 00:07:21,040 --> 00:07:23,760 Speaker 3: or whatever caused it, right, is actually nine hundred feet 138 00:07:23,840 --> 00:07:26,000 Speaker 3: from the Wuhan lab itself. It takes you six minutes 139 00:07:26,040 --> 00:07:27,920 Speaker 3: to walk across the bridge and you're right there. I'm 140 00:07:27,960 --> 00:07:30,760 Speaker 3: sure that's just coincidence, but just so your audience has 141 00:07:30,800 --> 00:07:35,160 Speaker 3: that right. But from that they made some terrible, terrible determinations, 142 00:07:35,800 --> 00:07:37,800 Speaker 3: you know. And early on when I stuck my neck out, 143 00:07:37,840 --> 00:07:40,280 Speaker 3: I was scared myself. I was like, man, what if 144 00:07:40,280 --> 00:07:42,360 Speaker 3: this really is the apocalypse they claim it is? What 145 00:07:43,040 --> 00:07:45,520 Speaker 3: if I'm really downplaying this and I'm doing a real 146 00:07:45,600 --> 00:07:48,280 Speaker 3: disservice to the people that listen to me and follow me. 147 00:07:48,720 --> 00:07:52,640 Speaker 3: And then doctor John I. Anitas out of Stanford wrote 148 00:07:52,680 --> 00:07:56,000 Speaker 3: this really infamous, famous article in March where he says, 149 00:07:56,200 --> 00:07:59,720 Speaker 3: I think we're in a once in a lifetime data fiasco. 150 00:08:00,080 --> 00:08:02,720 Speaker 3: We're making decisions on really, really bad data, and we're 151 00:08:02,720 --> 00:08:05,080 Speaker 3: shutting down the country on it. It turns out he 152 00:08:05,200 --> 00:08:09,240 Speaker 3: was right. For the vast majority of people, the impact 153 00:08:09,360 --> 00:08:12,600 Speaker 3: of COVID is less than that influenza the best way 154 00:08:12,640 --> 00:08:15,440 Speaker 3: to describe it, and I think people relate to stories 155 00:08:15,480 --> 00:08:18,280 Speaker 3: and analogies. If you're under the age of sixty five, 156 00:08:18,680 --> 00:08:21,320 Speaker 3: your risk of COVID or dying of COVID was about 157 00:08:21,360 --> 00:08:24,080 Speaker 3: the same as your risk on your commute to work 158 00:08:24,160 --> 00:08:26,120 Speaker 3: dying in a car crash, and if you're over the 159 00:08:26,120 --> 00:08:28,400 Speaker 3: age of sixty five it's higher. It's about the same 160 00:08:28,480 --> 00:08:31,000 Speaker 3: as the risk of a professional truck driver faces over 161 00:08:31,040 --> 00:08:33,719 Speaker 3: a year of driving. Is doing his job there and 162 00:08:33,800 --> 00:08:36,560 Speaker 3: so when we look at these things, those were the stats. 163 00:08:36,559 --> 00:08:39,200 Speaker 3: But then doctor Faucin crew got everything wrong. 164 00:08:39,360 --> 00:08:45,880 Speaker 1: So Michael Arri Joe, we're talking to Justin Hart. He's 165 00:08:45,960 --> 00:08:51,360 Speaker 1: the founder of Rationalground dot com. And the book is 166 00:08:51,559 --> 00:08:56,800 Speaker 1: gone viral, how COVID drove the world insane. You've been 167 00:08:56,880 --> 00:09:02,959 Speaker 1: involved with Fortune five hundred company and presidential campaigns. You've 168 00:09:04,160 --> 00:09:08,199 Speaker 1: been a data cruncher, so you come at this from 169 00:09:08,240 --> 00:09:13,560 Speaker 1: two different angles. This was not always a science based response. 170 00:09:14,320 --> 00:09:18,440 Speaker 1: Let's move from the fact that doctor Fauci potentially has 171 00:09:18,480 --> 00:09:22,160 Speaker 1: blood on his hands from having funded Wuhan. You know, 172 00:09:22,480 --> 00:09:27,000 Speaker 1: the first time I ever heard the term GoFR gain 173 00:09:27,040 --> 00:09:30,800 Speaker 1: of function research, it was Senator Rand Paul talking about 174 00:09:30,840 --> 00:09:33,160 Speaker 1: gain of function and I thought, well, if he's going 175 00:09:33,240 --> 00:09:36,760 Speaker 1: to keep using that word, that that term, I'm going 176 00:09:36,800 --> 00:09:38,679 Speaker 1: to need to look up what that is and figure 177 00:09:38,679 --> 00:09:41,160 Speaker 1: out what the heck it is. And it turns out 178 00:09:41,320 --> 00:09:44,760 Speaker 1: it is putting a virus under stress to make it 179 00:09:44,800 --> 00:09:49,320 Speaker 1: a supervirus, which is is almost like a superhero Marvel 180 00:09:50,000 --> 00:09:54,280 Speaker 1: cartoon from somebody that that now this awful lex luthor 181 00:09:54,480 --> 00:09:58,320 Speaker 1: emerges and that this is a dangerous, dangerous thing to do. 182 00:09:58,440 --> 00:10:02,360 Speaker 1: It's like playing with nuclear weapons, regardless of whether they're 183 00:10:02,360 --> 00:10:05,559 Speaker 1: doing it to find an improvement or the Chinese are 184 00:10:05,559 --> 00:10:08,200 Speaker 1: doing it to win a biological war. And now we 185 00:10:08,240 --> 00:10:09,679 Speaker 1: see how that could be conducted. 186 00:10:10,200 --> 00:10:10,800 Speaker 2: There was some. 187 00:10:10,840 --> 00:10:14,880 Speaker 1: Fauci involvement in that and part of the original story 188 00:10:15,040 --> 00:10:19,520 Speaker 1: was to downplay America's involvement in funding this thing, the 189 00:10:19,679 --> 00:10:24,000 Speaker 1: lax oversight of this thing. That's when we move this 190 00:10:24,120 --> 00:10:27,920 Speaker 1: thing to the American shores. But before it ever arrived 191 00:10:27,920 --> 00:10:30,040 Speaker 1: as a virus, which it could have been as early 192 00:10:30,080 --> 00:10:33,240 Speaker 1: as as September or October that that thing was leaking out, 193 00:10:34,000 --> 00:10:36,200 Speaker 1: there was a lot of American involvement. This is not 194 00:10:36,240 --> 00:10:38,280 Speaker 1: an entirely Chinese enterprise, is it. 195 00:10:39,840 --> 00:10:42,240 Speaker 3: No, it's not. In fact, you know, we have funding 196 00:10:42,320 --> 00:10:45,680 Speaker 3: from groups that are still getting funded today. At the 197 00:10:45,760 --> 00:10:50,520 Speaker 3: EcoHealth Alliance, for example, just received several million dollars and 198 00:10:50,600 --> 00:10:52,720 Speaker 3: they were one of the main funders of providing that 199 00:10:52,760 --> 00:10:55,360 Speaker 3: research over to the Wuhan Lab. And we're still at 200 00:10:55,360 --> 00:10:58,959 Speaker 3: this today. In fact, just the other week, Boston University 201 00:10:59,120 --> 00:11:01,079 Speaker 3: we think Equo all It's may have been involved in 202 00:11:01,120 --> 00:11:06,200 Speaker 3: this too, produced a superstrain of COVID and you know, 203 00:11:06,440 --> 00:11:08,840 Speaker 3: they claimed they were doing this for research purposes, but 204 00:11:08,880 --> 00:11:11,360 Speaker 3: again there's real danger. It was a level three lab. 205 00:11:11,720 --> 00:11:13,880 Speaker 3: What if that leaks out? I thought to my audience, 206 00:11:14,120 --> 00:11:16,720 Speaker 3: what's the cover story for that? Is it a lobster 207 00:11:16,840 --> 00:11:19,800 Speaker 3: roll from Fanuel Hall or maybe a Fenway Park hot 208 00:11:19,800 --> 00:11:23,560 Speaker 3: dog there near Boston University. I mean, there are so 209 00:11:23,679 --> 00:11:26,720 Speaker 3: many issues with this, and there really are playing god. 210 00:11:26,760 --> 00:11:28,480 Speaker 3: And it's one of the things that you see in 211 00:11:28,520 --> 00:11:31,520 Speaker 3: doctor Fauci's writings for the last two decades where he 212 00:11:31,559 --> 00:11:37,080 Speaker 3: gets frustrated that these viruses keep appearing and keep propagating 213 00:11:37,120 --> 00:11:39,960 Speaker 3: across the globe, and so at one point, in a 214 00:11:39,960 --> 00:11:43,120 Speaker 3: famous article he wrote back in September twenty twenty, he 215 00:11:43,240 --> 00:11:47,000 Speaker 3: talked about how he envisions us going back to olden times, 216 00:11:47,240 --> 00:11:49,440 Speaker 3: and boy says, I can't you know, he's implying, I 217 00:11:49,440 --> 00:11:52,760 Speaker 3: can't shut down hospitals, and I can't shut down ballgames 218 00:11:52,840 --> 00:11:55,560 Speaker 3: or anything else there. But can't we bend modernity a 219 00:11:55,559 --> 00:11:58,520 Speaker 3: little bit to our will towards this? He really does 220 00:11:58,640 --> 00:12:02,079 Speaker 3: think that. Again, I put it to you, he would gladly, 221 00:12:02,760 --> 00:12:06,760 Speaker 3: you know, China ccpiece out weld you inside your apartment 222 00:12:07,040 --> 00:12:09,880 Speaker 3: if he thought that it would stop the disease. And 223 00:12:10,200 --> 00:12:14,440 Speaker 3: our group Rational Ground was the main data source, chart creator, 224 00:12:14,600 --> 00:12:19,040 Speaker 3: and support backbone for doctor Scott Atlas when he was 225 00:12:19,080 --> 00:12:21,800 Speaker 3: of the White House for that brief tenure there, starting 226 00:12:21,800 --> 00:12:23,720 Speaker 3: in the summer of twenty twenty, when he tried to 227 00:12:24,000 --> 00:12:26,120 Speaker 3: write the Ship and this is a perfect example of 228 00:12:26,160 --> 00:12:29,840 Speaker 3: what you described. Doctor Atlas is a radiologist, and people 229 00:12:29,840 --> 00:12:31,920 Speaker 3: game after him and said, well, he's not a virologist, 230 00:12:32,440 --> 00:12:36,480 Speaker 3: he's not, you know, an epidemiologist. No, but he has 231 00:12:36,600 --> 00:12:40,520 Speaker 3: twenty five experience, twenty five years of experience applying science 232 00:12:40,600 --> 00:12:44,000 Speaker 3: to public policy. That was his forte And that's what 233 00:12:44,040 --> 00:12:46,240 Speaker 3: we needed is someone to come in and say, Okay, 234 00:12:46,840 --> 00:12:49,440 Speaker 3: you can close down the schools, but what are the 235 00:12:49,480 --> 00:12:52,880 Speaker 3: impacts on that? Right? I mean, just a simple one 236 00:12:52,960 --> 00:12:58,920 Speaker 3: percent uptick in the number of suicides for young teens 237 00:12:59,320 --> 00:13:02,640 Speaker 3: would totally eclipse all the COVID deaths. Ever, so these 238 00:13:02,640 --> 00:13:06,079 Speaker 3: things are very dramatic, and you know, we really gave 239 00:13:06,120 --> 00:13:08,360 Speaker 3: our kids the short end of the stick. There in 240 00:13:08,400 --> 00:13:10,439 Speaker 3: the back, we have some templates that people can use 241 00:13:10,480 --> 00:13:14,680 Speaker 3: for their school boards, for their universities, for their county boards, 242 00:13:14,880 --> 00:13:17,280 Speaker 3: because you see this again and again, these hot spots 243 00:13:17,320 --> 00:13:21,439 Speaker 3: pop up and still on our campuses. Those universities are 244 00:13:21,520 --> 00:13:24,840 Speaker 3: locked down with masks and vax mandates. 245 00:13:24,280 --> 00:13:24,640 Speaker 2: And the like. 246 00:13:26,640 --> 00:13:29,480 Speaker 1: Justin when you we're going to go through a couple 247 00:13:29,520 --> 00:13:32,840 Speaker 1: other things. But when you started this project, you would 248 00:13:32,840 --> 00:13:35,959 Speaker 1: have had expectations. Having lived through it, we've talked before, 249 00:13:36,920 --> 00:13:40,199 Speaker 1: you've been all over the data on vaccines and lockdowns 250 00:13:40,200 --> 00:13:43,720 Speaker 1: and masks and six feet and job losses and on. 251 00:13:44,080 --> 00:13:47,960 Speaker 1: But what what in the process was that moment where 252 00:13:48,360 --> 00:13:53,520 Speaker 1: sort of the Silkwood story where she sees, oh my goodness, 253 00:13:53,600 --> 00:13:57,000 Speaker 1: I can't believe they're doing this, or in the informant 254 00:13:57,040 --> 00:13:59,560 Speaker 1: when you say, oh my goodness, I can't believe they're 255 00:13:59,600 --> 00:14:02,160 Speaker 1: doing this, or the Watergate moment. What was that moment 256 00:14:02,200 --> 00:14:06,360 Speaker 1: where you said I didn't realize this. How do people 257 00:14:06,480 --> 00:14:07,880 Speaker 1: not know this happened? 258 00:14:09,200 --> 00:14:12,320 Speaker 3: Yeah? I would say one of the big revelations they 259 00:14:12,360 --> 00:14:14,240 Speaker 3: had was just a personal interaction I have with a 260 00:14:14,240 --> 00:14:16,760 Speaker 3: friend of mine who was north with me. I'm in 261 00:14:16,800 --> 00:14:19,840 Speaker 3: San Diego and he's in LA and we're both in 262 00:14:20,000 --> 00:14:23,360 Speaker 3: very lockdown counties. And he told me, said, justin my 263 00:14:23,480 --> 00:14:26,080 Speaker 3: dad just passed away. As you know, my mom passed 264 00:14:26,080 --> 00:14:29,480 Speaker 3: away four months ago. She died of a blood disease 265 00:14:29,720 --> 00:14:33,080 Speaker 3: that was undiagnosed. He died of a cancer that he 266 00:14:33,160 --> 00:14:36,920 Speaker 3: didn't catch. They were too scared to go to the hospital. 267 00:14:37,480 --> 00:14:40,280 Speaker 3: And I think that's where I realized, Wow, we really 268 00:14:40,280 --> 00:14:43,400 Speaker 3: succumb to the fear. I think there's about twenty percent 269 00:14:43,400 --> 00:14:45,440 Speaker 3: of us, like your listeners, who were kind of the 270 00:14:45,480 --> 00:14:50,840 Speaker 3: backbone of fighting back against these stringent interventions. And I 271 00:14:50,880 --> 00:14:52,840 Speaker 3: think there was probably another twenty percent of what we 272 00:14:52,880 --> 00:14:56,680 Speaker 3: call Team Apocalypse. We're constantly like, lock everything down even harder. 273 00:14:57,240 --> 00:15:00,440 Speaker 3: The sixty percent of Americans who kind of just went 274 00:15:00,480 --> 00:15:03,840 Speaker 3: with the flow. I understand that thinking. My kindest interpretation 275 00:15:04,040 --> 00:15:07,480 Speaker 3: is they didn't want to get into a fight. But now, 276 00:15:07,760 --> 00:15:11,360 Speaker 3: once your rights are taken away, once you know, you 277 00:15:11,400 --> 00:15:14,080 Speaker 3: have to claw back, now your rights for assembly, your 278 00:15:14,120 --> 00:15:18,080 Speaker 3: rights for censorship. As you know, I'm suing the federal government, 279 00:15:18,640 --> 00:15:21,920 Speaker 3: Facebook and Twitter because they started censoring me a year 280 00:15:21,960 --> 00:15:24,200 Speaker 3: ago as soon as Jen Saki got over the pulpit 281 00:15:24,600 --> 00:15:27,040 Speaker 3: with the Surgeon General and said we're taking down and 282 00:15:27,120 --> 00:15:29,760 Speaker 3: working with Facebook and Twitter to identify people that are 283 00:15:29,960 --> 00:15:34,080 Speaker 3: spreading misinformation, and my accounts were lock shortly after that. 284 00:15:34,120 --> 00:15:36,480 Speaker 3: We got him back only after a lot of pressing 285 00:15:36,520 --> 00:15:39,280 Speaker 3: and pushing. But now you know, we know that doctor Fauci, 286 00:15:39,360 --> 00:15:40,720 Speaker 3: were going to be able to depose him in one 287 00:15:40,720 --> 00:15:42,800 Speaker 3: of these lawsuits that's out there, and we have a 288 00:15:42,800 --> 00:15:45,000 Speaker 3: lot of questions for him. But I think that one 289 00:15:45,040 --> 00:15:47,880 Speaker 3: moment I had of just realizing when it hit home 290 00:15:48,360 --> 00:15:52,320 Speaker 3: that fear was going to cause more deaths than the 291 00:15:52,320 --> 00:15:53,680 Speaker 3: pandemic itself. 292 00:15:55,320 --> 00:15:57,760 Speaker 2: And that is absolutely the truth. 293 00:15:58,320 --> 00:16:01,440 Speaker 1: It was the results of god namental actions. We've seen 294 00:16:01,760 --> 00:16:05,480 Speaker 1: teenage suicides. We had a baseline for teenage suicides that spiked. 295 00:16:06,520 --> 00:16:10,640 Speaker 1: We had students dropping out of school or having difficulty 296 00:16:10,680 --> 00:16:15,960 Speaker 1: with school in far larger numbers. Teenagers really suffered through this, 297 00:16:16,480 --> 00:16:19,800 Speaker 1: and even younger than that struggled because this went on 298 00:16:19,960 --> 00:16:21,360 Speaker 1: for a solid two years. 299 00:16:21,400 --> 00:16:22,479 Speaker 2: This was a big. 300 00:16:22,240 --> 00:16:26,160 Speaker 1: Percentage of their overall life during their sncient time that 301 00:16:26,200 --> 00:16:27,000 Speaker 1: they would remember. 302 00:16:27,280 --> 00:16:29,280 Speaker 2: We've noticed that young children. 303 00:16:30,400 --> 00:16:33,880 Speaker 1: Speech pathologists are saying that speech defects are much larger 304 00:16:33,920 --> 00:16:36,200 Speaker 1: and this that's a problem that can last for years 305 00:16:36,520 --> 00:16:40,520 Speaker 1: because these children didn't see adults speaking and learned to 306 00:16:40,600 --> 00:16:43,760 Speaker 1: form their words, which caused them a lot of problems. 307 00:16:43,760 --> 00:16:45,800 Speaker 1: And be like learning to bat all the wrong way, 308 00:16:45,840 --> 00:16:48,600 Speaker 1: and then you know you're in high school and it's 309 00:16:48,680 --> 00:16:51,160 Speaker 1: too late to change your swing or a golfer, and 310 00:16:51,680 --> 00:16:55,640 Speaker 1: all of these things added up to be very traumatic 311 00:16:55,760 --> 00:17:02,400 Speaker 1: for kids and very stressful and very deleterious to these kids, 312 00:17:02,720 --> 00:17:05,560 Speaker 1: and yet nobody is stepping up and doing anything about it. 313 00:17:05,600 --> 00:17:08,920 Speaker 1: The teachers unions who pushed for the schools to stay closed. 314 00:17:09,320 --> 00:17:11,720 Speaker 1: Randy Weiningarden isn't stepping up and saying, hey, we made 315 00:17:11,720 --> 00:17:14,879 Speaker 1: a mistake. She's in Ukraine and saying we got to 316 00:17:14,960 --> 00:17:17,119 Speaker 1: end the war. We got a more American involvement to 317 00:17:17,200 --> 00:17:19,560 Speaker 1: end the war because Biden Aster he too, because these 318 00:17:19,640 --> 00:17:21,720 Speaker 1: kids are not able to go to school. The same 319 00:17:21,800 --> 00:17:24,240 Speaker 1: person who said our kids shouldn't go to school. 320 00:17:25,760 --> 00:17:28,639 Speaker 3: Yeah, it's devastating. And again, I mentionally have had us 321 00:17:28,680 --> 00:17:31,040 Speaker 3: eight kids with large spans of age. I had a 322 00:17:31,080 --> 00:17:33,159 Speaker 3: two year old and a four year old who were 323 00:17:33,160 --> 00:17:35,640 Speaker 3: in preschool at the time over the pandemic, and their 324 00:17:35,680 --> 00:17:38,840 Speaker 3: teacher came up to us just devastated and said, I'm 325 00:17:38,880 --> 00:17:41,800 Speaker 3: so sorry your daughters. They're not going to be ready 326 00:17:41,840 --> 00:17:45,720 Speaker 3: for kindergarten. I try teaching your kid how to pronounce 327 00:17:45,760 --> 00:17:49,159 Speaker 3: the letter H through a mask, right, And that was 328 00:17:49,240 --> 00:17:52,320 Speaker 3: devastating to you know, our kids. We know. My sister's 329 00:17:52,359 --> 00:17:55,080 Speaker 3: a speech pathologist and she has job security from here 330 00:17:55,119 --> 00:17:58,440 Speaker 3: to eternity. Unfortunately, for very unfortunate purposes. 331 00:17:59,000 --> 00:18:04,040 Speaker 1: It's them all Duck King of Ding and this other guy, 332 00:18:04,240 --> 00:18:05,560 Speaker 1: Michael Barry. 333 00:18:08,040 --> 00:18:10,000 Speaker 2: We're talking to Justin Hart. 334 00:18:10,080 --> 00:18:15,000 Speaker 1: He's the founder of rational ground dot com and the 335 00:18:15,040 --> 00:18:19,959 Speaker 1: book is Gone Viral, How COVID drove the world insane. 336 00:18:20,359 --> 00:18:23,320 Speaker 3: We're adults, you and I, Michael, when politics comes in, 337 00:18:23,359 --> 00:18:25,760 Speaker 3: and it did. The very first business they shut down 338 00:18:26,119 --> 00:18:28,440 Speaker 3: on this premise of an executive order was a shut 339 00:18:28,520 --> 00:18:30,919 Speaker 3: was a political move. You and I can take to 340 00:18:30,960 --> 00:18:34,040 Speaker 3: the ballot box. Our kids don't have that luxury. So 341 00:18:34,280 --> 00:18:35,840 Speaker 3: I wrote this book, you know, kind of as a 342 00:18:35,920 --> 00:18:37,800 Speaker 3: testament to Hey, I just want you to know I 343 00:18:37,880 --> 00:18:40,640 Speaker 3: stood up. And there are people I understand who are 344 00:18:40,840 --> 00:18:43,919 Speaker 3: just now starting their journey from that deep fear that 345 00:18:44,000 --> 00:18:46,199 Speaker 3: sort of took them. And they want the tools to 346 00:18:46,280 --> 00:18:49,679 Speaker 3: understand how do I understand what transpired? How do I 347 00:18:49,720 --> 00:18:53,000 Speaker 3: become part of team reality. So Gone Viral is is 348 00:18:53,040 --> 00:18:55,280 Speaker 3: that book that kind of helps them do that. It'll 349 00:18:55,320 --> 00:18:57,359 Speaker 3: walk them through all the myths that are out there, 350 00:18:57,560 --> 00:19:00,240 Speaker 3: and we try to bust them apart. And it's it's 351 00:19:00,240 --> 00:19:02,000 Speaker 3: you know, there's some funny parts too, like the whole 352 00:19:02,040 --> 00:19:04,119 Speaker 3: story about why we had to do the run on 353 00:19:04,200 --> 00:19:07,879 Speaker 3: toilet paper. It's because we do half of our if 354 00:19:07,920 --> 00:19:11,440 Speaker 3: you'll excuse the term our business at our business, right, 355 00:19:11,760 --> 00:19:14,000 Speaker 3: and when you close down all the businesses and everyone 356 00:19:14,040 --> 00:19:17,119 Speaker 3: wants at home now the whole manufacturing industry had to 357 00:19:17,200 --> 00:19:19,280 Speaker 3: jump three feet to try to figure out how do 358 00:19:19,320 --> 00:19:22,400 Speaker 3: we produce more of this soft quality bear stuff, right, 359 00:19:22,440 --> 00:19:24,560 Speaker 3: as opposed to the big reams that you have at 360 00:19:24,600 --> 00:19:31,520 Speaker 3: a theme park or at a right. Right. What's funny 361 00:19:31,560 --> 00:19:33,760 Speaker 3: is they're very depth. So if you're if you're, if you're, 362 00:19:34,040 --> 00:19:34,640 Speaker 3: if you look at. 363 00:19:34,600 --> 00:19:37,000 Speaker 2: About more toilet paper puns, just give me a moment 364 00:19:37,040 --> 00:19:37,840 Speaker 2: to think about. 365 00:19:37,560 --> 00:19:39,840 Speaker 3: It, right, right, just so you could actually go and 366 00:19:39,840 --> 00:19:40,200 Speaker 3: buy those. 367 00:19:40,280 --> 00:19:42,880 Speaker 1: Yeah, that's the funny part, right, and we can laugh 368 00:19:42,920 --> 00:19:46,280 Speaker 1: about that now. But what about the role of big 369 00:19:46,320 --> 00:19:48,119 Speaker 1: pharma and all this, because I think that is a 370 00:19:48,280 --> 00:19:49,600 Speaker 1: very cynical part. 371 00:19:49,680 --> 00:19:52,720 Speaker 2: Do you delve into that we do? 372 00:19:53,240 --> 00:19:55,760 Speaker 3: This is the really unfortunate thing, and it's really coming 373 00:19:55,800 --> 00:19:59,360 Speaker 3: about right now in full force because you were told 374 00:19:59,400 --> 00:20:02,639 Speaker 3: at the beginning this pandemic that not only you know, 375 00:20:02,720 --> 00:20:04,959 Speaker 3: did you need this vax for yourself, you needed it 376 00:20:05,000 --> 00:20:08,000 Speaker 3: for other people because it stopped transmission. You're going to 377 00:20:08,040 --> 00:20:12,000 Speaker 3: stop the pandemic. And that's why they chose to mandate 378 00:20:12,040 --> 00:20:15,240 Speaker 3: it in so many instances and places. But it turns out, 379 00:20:15,320 --> 00:20:17,800 Speaker 3: you know, their promise is that this was one hundred 380 00:20:17,800 --> 00:20:21,040 Speaker 3: percent effective against hospitalization and death. That's a direct quote 381 00:20:21,119 --> 00:20:24,439 Speaker 3: from doctor Fauci and doctor Velenski. Doctor Fauchi went on 382 00:20:24,480 --> 00:20:27,560 Speaker 3: to say, they're really good against variants. Well, none of 383 00:20:27,600 --> 00:20:29,840 Speaker 3: them worked terribly well at all. In fact, we now 384 00:20:29,960 --> 00:20:32,440 Speaker 3: know a study just came out two days ago or 385 00:20:32,440 --> 00:20:35,119 Speaker 3: a couple of days ago, which showed that after a 386 00:20:35,600 --> 00:20:38,480 Speaker 3: month or two or just a little slightly after that, 387 00:20:38,960 --> 00:20:41,160 Speaker 3: if you have a third booster shot and a four 388 00:20:41,240 --> 00:20:45,360 Speaker 3: booster shot, it actually has what we call a negative efficacy, 389 00:20:45,840 --> 00:20:48,560 Speaker 3: that is, compared to someone who's unvaccinated, you are more 390 00:20:48,720 --> 00:20:51,040 Speaker 3: likely to get the disease. And you might say, that's 391 00:20:51,080 --> 00:20:54,680 Speaker 3: a crackpot sort of study that was funded by Maderna itself, 392 00:20:55,040 --> 00:20:58,800 Speaker 3: and so they look and that's the really unfortunate thing 393 00:20:58,920 --> 00:21:01,359 Speaker 3: is they really got their claw there and because they 394 00:21:01,480 --> 00:21:06,160 Speaker 3: knew that societal sort of niceties were towards them, right, 395 00:21:06,480 --> 00:21:09,280 Speaker 3: it's a you know, vaccines for years now have been 396 00:21:09,359 --> 00:21:12,520 Speaker 3: kind of that third public political healthcare rail that you 397 00:21:12,560 --> 00:21:14,879 Speaker 3: couldn't touch. I know, I didn't want to touch it. 398 00:21:15,400 --> 00:21:18,359 Speaker 3: But then when the evidence came out that not only 399 00:21:19,240 --> 00:21:23,120 Speaker 3: is the mandate hurting things, but that for young children 400 00:21:23,359 --> 00:21:27,600 Speaker 3: and especially for young adult males, the results could be 401 00:21:27,800 --> 00:21:30,840 Speaker 3: very costly and very deadly. And now we have this 402 00:21:30,960 --> 00:21:33,920 Speaker 3: recommendation from the CDC that just came down last week, 403 00:21:34,240 --> 00:21:37,399 Speaker 3: which mentioned that they're going to put the vaccine into 404 00:21:37,480 --> 00:21:42,159 Speaker 3: a schedule. That vaccine has only been tested for kids 405 00:21:42,720 --> 00:21:45,760 Speaker 3: on eight mice. It's never been through a trial study 406 00:21:45,760 --> 00:21:49,400 Speaker 3: of that sort. And so literally they're making this termination 407 00:21:49,800 --> 00:21:52,560 Speaker 3: and they wave their hands and say, well, we're not 408 00:21:52,560 --> 00:21:54,919 Speaker 3: not mandating this. Justice, We're not mandating it, we're just 409 00:21:55,040 --> 00:21:57,520 Speaker 3: recommending it. Well, the states look at this as a 410 00:21:57,520 --> 00:21:59,639 Speaker 3: hot potato and they'll say, well, we'll put it through 411 00:21:59,640 --> 00:22:02,800 Speaker 3: because it's the CDC recommendation. I know, I'm scared of 412 00:22:02,840 --> 00:22:06,080 Speaker 3: that because I'm here in California. You know, Kevern Newsom 413 00:22:06,119 --> 00:22:09,080 Speaker 3: has an ink indicator. That's the case. And look, Michael, 414 00:22:09,080 --> 00:22:13,280 Speaker 3: I vaccinate my kids. I have for years. But those 415 00:22:13,359 --> 00:22:16,960 Speaker 3: vaccines have been on the docket out of trial status 416 00:22:16,960 --> 00:22:20,480 Speaker 3: for fifteen years before they ever made it onto the schedule. Yep, 417 00:22:20,720 --> 00:22:23,240 Speaker 3: here we are two years of this very experimental drug 418 00:22:23,680 --> 00:22:26,720 Speaker 3: and it's gonna be devastating. It's gonna be really, really 419 00:22:26,760 --> 00:22:28,520 Speaker 3: devastating if this goes through as a mandate. 420 00:22:28,640 --> 00:22:31,679 Speaker 1: I think I'm a bit older than you, but I 421 00:22:31,920 --> 00:22:37,760 Speaker 1: came just after the thlidimide drug debacle, where a pain 422 00:22:38,400 --> 00:22:43,760 Speaker 1: pregnancy drug was administered to women and it created gross deformities, 423 00:22:44,160 --> 00:22:48,159 Speaker 1: and that caused the FDA to really double down and say, Okay, 424 00:22:48,680 --> 00:22:50,960 Speaker 1: we're going to have to get serious about drug trials 425 00:22:51,320 --> 00:22:54,560 Speaker 1: with this product and including the boosters. At one point 426 00:22:54,600 --> 00:22:56,800 Speaker 1: they tried a booster I think it was omicron, but 427 00:22:56,800 --> 00:22:59,919 Speaker 1: I can't remember which one on seven mice it was, 428 00:23:00,200 --> 00:23:01,760 Speaker 1: even try it on a human being, and they said, 429 00:23:01,760 --> 00:23:03,639 Speaker 1: we have to rush it out because there's no time 430 00:23:03,680 --> 00:23:09,199 Speaker 1: to wait a second. In order to prevent COVID and 431 00:23:09,320 --> 00:23:12,879 Speaker 1: a COVID death in a very tiny percentage of the population, 432 00:23:13,359 --> 00:23:17,320 Speaker 1: You're going to inject an unknown, potentially very harmful product 433 00:23:17,680 --> 00:23:19,719 Speaker 1: into one hundred percent of the people who take it, 434 00:23:19,800 --> 00:23:23,760 Speaker 1: including your urging children to take it. This was a loss, 435 00:23:25,520 --> 00:23:31,399 Speaker 1: an absolute insane moment for our medical establishment that I 436 00:23:31,440 --> 00:23:32,720 Speaker 1: don't know they'll ever get back. 437 00:23:33,080 --> 00:23:33,680 Speaker 2: The trust. 438 00:23:33,880 --> 00:23:35,800 Speaker 1: I don't know in my lifetime if they'll ever get 439 00:23:35,800 --> 00:23:39,680 Speaker 1: it back. I watch doctors that I respect make decisions 440 00:23:40,040 --> 00:23:44,080 Speaker 1: and make pronouncements to their trusting patients that turn out 441 00:23:44,080 --> 00:23:46,800 Speaker 1: to be dead wrong, and there was every reason to 442 00:23:46,880 --> 00:23:49,800 Speaker 1: believe they might be dead wrong. And yet they pushed 443 00:23:49,840 --> 00:23:51,879 Speaker 1: on through because the hospital system that they work for 444 00:23:51,960 --> 00:23:52,520 Speaker 1: or told them to. 445 00:23:53,800 --> 00:23:57,520 Speaker 3: This is a very challenging moment in our health industry, 446 00:23:57,600 --> 00:24:01,400 Speaker 3: our health overlords that whole time of the beast has 447 00:24:01,480 --> 00:24:05,399 Speaker 3: to be felled before they can ever regain this trust. Again. 448 00:24:05,600 --> 00:24:09,040 Speaker 3: I mean just a perfect example, doctor Fauci, and with 449 00:24:09,160 --> 00:24:12,640 Speaker 3: him a former director of the NIH, doctor Collins, sit 450 00:24:12,720 --> 00:24:17,160 Speaker 3: on the board that makes all the determination for grants 451 00:24:17,480 --> 00:24:21,280 Speaker 3: from the billions of dollars that NIH distributes out. And 452 00:24:21,320 --> 00:24:23,560 Speaker 3: so if you were going to do a study that 453 00:24:23,720 --> 00:24:26,600 Speaker 3: might end up sort of going counter to the narrative 454 00:24:26,680 --> 00:24:29,720 Speaker 3: of the policy that they implemented, the chances of you 455 00:24:29,760 --> 00:24:32,680 Speaker 3: getting funded are pretty small. You need to cut that tie. 456 00:24:32,680 --> 00:24:36,120 Speaker 3: The people that make the policy cannot also decide where 457 00:24:36,119 --> 00:24:38,679 Speaker 3: the funding goes. Science has to be separate from the 458 00:24:38,720 --> 00:24:41,879 Speaker 3: application of policy, and that's really what transpired. We turned 459 00:24:42,080 --> 00:24:45,840 Speaker 3: the entire system of the United States over to these 460 00:24:45,880 --> 00:24:48,080 Speaker 3: doctors who had never seen a patient in thirty years 461 00:24:48,480 --> 00:24:50,720 Speaker 3: and never looked at a study for more than ten minutes. 462 00:24:51,240 --> 00:24:54,600 Speaker 3: And I try to put the kindest interpretation on this. 463 00:24:55,000 --> 00:24:57,080 Speaker 3: I remember asking Scott Atlas when he was at the 464 00:24:57,119 --> 00:24:59,639 Speaker 3: White House and said Scott. Maybe they're just having a 465 00:24:59,680 --> 00:25:04,160 Speaker 3: trouble saving face. They can't turn it around. And he said, no, Justin, 466 00:25:04,760 --> 00:25:08,120 Speaker 3: these people are not smart. These people are dumb. I said, 467 00:25:08,119 --> 00:25:09,120 Speaker 3: oh no, just a moment. 468 00:25:09,160 --> 00:25:12,800 Speaker 1: We're talking to Justin Hart of Rationalground dot Com. His 469 00:25:12,880 --> 00:25:16,320 Speaker 1: book is Gone Viral, How COVID Drove the World Insane. 470 00:25:16,840 --> 00:25:20,000 Speaker 1: If you can't hear the entirety of this conversation, you 471 00:25:20,040 --> 00:25:22,760 Speaker 1: can go to our podcast and hear it all in 472 00:25:22,880 --> 00:25:25,240 Speaker 1: one fell swoop and it's worth it. 473 00:25:25,280 --> 00:25:25,679 Speaker 2: Trust me. 474 00:25:26,000 --> 00:25:28,720 Speaker 1: We'll continue our conversation with Justin Hart, the author of 475 00:25:28,800 --> 00:25:33,680 Speaker 1: the new book Gone Viral, How COVID Drove the World Insane. 476 00:25:33,880 --> 00:25:37,560 Speaker 1: Pling politics with the integrity of elections threatens or democracy. 477 00:25:37,640 --> 00:25:41,439 Speaker 2: Unfortunately, today's Democratic Party stands for a government that is 478 00:25:41,560 --> 00:25:42,720 Speaker 2: of by and. 479 00:25:42,760 --> 00:25:47,880 Speaker 1: For the powerful ideas. The Michael Barry Show. 480 00:25:49,040 --> 00:25:50,920 Speaker 2: We're talking to Justin Hart. 481 00:25:51,160 --> 00:25:56,280 Speaker 1: He's the founder of Rational Ground dot Com and the 482 00:25:56,359 --> 00:26:01,520 Speaker 1: book is Gone Viral, How COVID Drove the World Insane. 483 00:26:02,600 --> 00:26:07,199 Speaker 1: I can handle dumb. What I can't handle is criminals 484 00:26:07,720 --> 00:26:11,280 Speaker 1: in roles of authority. And I think there was some 485 00:26:11,440 --> 00:26:14,480 Speaker 1: of that, you know, when I look back now, and 486 00:26:14,560 --> 00:26:18,000 Speaker 1: Joe Biden repeatedly saying, if you get the vaccine, you 487 00:26:18,200 --> 00:26:23,880 Speaker 1: won't get the virus. And now the Pfizer CEO, who 488 00:26:23,920 --> 00:26:27,480 Speaker 1: himself along with Biden and presently the CDC director has COVID, 489 00:26:28,240 --> 00:26:32,439 Speaker 1: the Pfizer CEO saying we never actually said that you 490 00:26:32,560 --> 00:26:36,639 Speaker 1: won't get it or spread it. Yeah, but okay, maybe 491 00:26:36,680 --> 00:26:39,199 Speaker 1: that's true, at least not in public. May maybe you 492 00:26:39,200 --> 00:26:41,760 Speaker 1: didn't say it. So why was Joe Biden saying it? 493 00:26:42,160 --> 00:26:44,320 Speaker 1: And why did you allow it? And then I got 494 00:26:44,359 --> 00:26:47,199 Speaker 1: to tell you, starting life as a lawyer, when the 495 00:26:47,280 --> 00:26:52,040 Speaker 1: government gave them a blanket immunity for something they were 496 00:26:52,080 --> 00:26:56,720 Speaker 1: getting wealthy off of, that's a real problem. The moment 497 00:26:56,800 --> 00:27:00,159 Speaker 1: you say there will be no accountability because Pfizer had 498 00:27:00,160 --> 00:27:02,480 Speaker 1: to have more information than the government did, and to 499 00:27:02,520 --> 00:27:05,800 Speaker 1: say there will be no accountability for what's gone wrong, 500 00:27:06,240 --> 00:27:07,879 Speaker 1: that's a real red flag. 501 00:27:09,600 --> 00:27:12,440 Speaker 3: Hope, I hope we can find some accountability. Is again, 502 00:27:12,440 --> 00:27:16,240 Speaker 3: as I mentioned the top of the program, if if 503 00:27:16,280 --> 00:27:19,919 Speaker 3: there is a changing of the political system and the 504 00:27:19,960 --> 00:27:22,119 Speaker 3: party takes over that I think what's going to happen. 505 00:27:22,880 --> 00:27:25,360 Speaker 3: Then we think we're going to have hearings, We need 506 00:27:25,400 --> 00:27:28,239 Speaker 3: to have those articles of inquiry out there. What are 507 00:27:28,240 --> 00:27:30,560 Speaker 3: the questions. You're going to ask all these people so 508 00:27:30,600 --> 00:27:32,879 Speaker 3: that we can get this on the record and start 509 00:27:32,920 --> 00:27:35,600 Speaker 3: implementing these things down to the stay level and county 510 00:27:35,640 --> 00:27:39,040 Speaker 3: level so it never happens again. Who knew that your 511 00:27:39,200 --> 00:27:43,160 Speaker 3: county health director, who you had no idea is not elected, 512 00:27:43,520 --> 00:27:46,520 Speaker 3: had so much onus over your life. As I say 513 00:27:46,520 --> 00:27:50,480 Speaker 3: at the outset of the book, I'm not a virologist, 514 00:27:50,560 --> 00:27:53,640 Speaker 3: not an epidemiologist, I'm not a healthcare expert, but I'm 515 00:27:53,640 --> 00:27:57,159 Speaker 3: a darn good data guy. Normally I wouldn't insert myself 516 00:27:57,200 --> 00:28:00,000 Speaker 3: into someone else's domain, but they sure have no problem 517 00:28:00,080 --> 00:28:04,280 Speaker 3: inserting themselves into my domain Michael, my kid's school, my church, 518 00:28:04,480 --> 00:28:08,040 Speaker 3: my gym, my coffee shop. And so I said, forgive me, 519 00:28:08,040 --> 00:28:10,000 Speaker 3: I'm gonna check your math. And when we check the math, 520 00:28:10,680 --> 00:28:13,520 Speaker 3: it was awful. It was wrong, and they made terrible 521 00:28:13,520 --> 00:28:16,639 Speaker 3: decisions on it. And as you know, Dannis Praeger says, 522 00:28:16,800 --> 00:28:19,960 Speaker 3: this might have been the most most the worst decision 523 00:28:20,040 --> 00:28:22,679 Speaker 3: that it was ever made in United States history. It 524 00:28:22,760 --> 00:28:24,879 Speaker 3: had such an impact on our society and. 525 00:28:24,800 --> 00:28:28,919 Speaker 1: So fraudulent, not just bad decisions based on the reading 526 00:28:29,000 --> 00:28:31,960 Speaker 1: of the data. You know, if a general chooses to 527 00:28:32,080 --> 00:28:36,440 Speaker 1: attack at position X, instead of why because he believes 528 00:28:36,480 --> 00:28:40,240 Speaker 1: that gives him the best position, that's the best vantage point, 529 00:28:40,280 --> 00:28:42,760 Speaker 1: that's where his troops will have the best exit route, 530 00:28:42,880 --> 00:28:46,560 Speaker 1: or whatever else. I can live with that decision. But 531 00:28:46,640 --> 00:28:50,040 Speaker 1: if the general chooses to do that because he's trying 532 00:28:50,040 --> 00:28:53,400 Speaker 1: to cause another general to lose his entire battalion, it's 533 00:28:53,400 --> 00:28:56,000 Speaker 1: supposed to be, you know, fighting for the same country, 534 00:28:56,040 --> 00:28:59,320 Speaker 1: and there's a cynicism built into that. I can't And 535 00:28:59,720 --> 00:29:01,920 Speaker 1: that's that's what I see so much of. I see 536 00:29:01,960 --> 00:29:06,880 Speaker 1: so many power hungry authoritarians who use this opportunity. I 537 00:29:06,920 --> 00:29:09,800 Speaker 1: see you have to overlay, which we've not discussed, that 538 00:29:09,920 --> 00:29:14,320 Speaker 1: the Trump presidential bid, and they use this to prevent 539 00:29:14,400 --> 00:29:18,719 Speaker 1: in person voting. They know that mail ballots are the 540 00:29:18,760 --> 00:29:22,280 Speaker 1: best opportunity to cheat. You've got a number of other things. 541 00:29:22,520 --> 00:29:24,600 Speaker 1: You've got George Floyd in the middle of all this. 542 00:29:25,160 --> 00:29:28,080 Speaker 1: You've got doctors saying you can't go out in public 543 00:29:28,120 --> 00:29:30,720 Speaker 1: because you'll all die. You can't have funerals or weddings, 544 00:29:31,240 --> 00:29:34,000 Speaker 1: but you can have a George Floyd funeral, and one 545 00:29:34,160 --> 00:29:38,520 Speaker 1: doctor saying racism has been around longer than the pandemic. 546 00:29:38,920 --> 00:29:43,280 Speaker 1: You can have George Floyd's memorial services across the country. 547 00:29:43,560 --> 00:29:47,000 Speaker 1: And that's the moment where you say, we've really lost. 548 00:29:46,760 --> 00:29:50,640 Speaker 2: Our minds in this country. None of what they've sue true. 549 00:29:50,920 --> 00:29:53,400 Speaker 3: Yeah, and I know the key message of the book 550 00:29:53,920 --> 00:29:57,080 Speaker 3: is that they try to control your behaviors. But the 551 00:29:57,120 --> 00:30:01,040 Speaker 3: truth is your behavior during the pandemic change the course 552 00:30:01,080 --> 00:30:03,840 Speaker 3: of much of anything as far as COVID is concerned. 553 00:30:04,240 --> 00:30:07,440 Speaker 3: But your behavior right now, as the pandemic moves in 554 00:30:07,520 --> 00:30:09,840 Speaker 3: back of us, it's going to change the course of 555 00:30:09,880 --> 00:30:11,760 Speaker 3: the world if we don't step up and sort of 556 00:30:12,120 --> 00:30:15,200 Speaker 3: claw back those rights they took from us. This is 557 00:30:15,280 --> 00:30:17,880 Speaker 3: really going to be a challenge. I know they will 558 00:30:17,960 --> 00:30:20,240 Speaker 3: use the same tactic again and again. 559 00:30:20,480 --> 00:30:23,760 Speaker 2: I noticed that there's a Scott Atlas full quote on 560 00:30:23,800 --> 00:30:25,360 Speaker 2: the front of the book. I just looked at the 561 00:30:25,360 --> 00:30:27,920 Speaker 2: front cover of the book. I hadn't seen it yet and. 562 00:30:27,880 --> 00:30:29,880 Speaker 1: I haven't read it yet, but I look forward to it. 563 00:30:30,680 --> 00:30:35,120 Speaker 1: I've said this several times. We get much better activism 564 00:30:35,640 --> 00:30:39,480 Speaker 1: from individuals who find an issue and focus on it, 565 00:30:39,520 --> 00:30:42,760 Speaker 1: whether it's Chris Rufo or Sarah Gonzalez. Now with these 566 00:30:42,880 --> 00:30:49,240 Speaker 1: drag queen parties on Corey DeAngelis, Alex Barns and you 567 00:30:49,360 --> 00:30:53,800 Speaker 1: have done fantastic, significant, meaningful work on this subject, and 568 00:30:53,920 --> 00:30:56,720 Speaker 1: all of it from a fact based perspective, and I 569 00:30:56,760 --> 00:31:01,200 Speaker 1: appreciate that facts are impartial. Rational ground is his site, 570 00:31:01,280 --> 00:31:04,880 Speaker 1: the book by it read it is gone viral. How 571 00:31:05,000 --> 00:31:07,920 Speaker 1: COVID drove the world insane. Justin Hart, thanks for being 572 00:31:07,960 --> 00:31:08,239 Speaker 1: with us. 573 00:31:09,200 --> 00:31:09,880 Speaker 3: Thank Michael