1 00:00:11,697 --> 00:00:14,937 Speaker 1: You're listening to The Buck Sexton Show podcast, make sure 2 00:00:14,977 --> 00:00:17,977 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,017 --> 00:00:19,737 Speaker 1: wherever you get your podcasts. 4 00:00:20,497 --> 00:00:23,777 Speaker 2: Welcome into the Buck Sexton Show. And why see addition, 5 00:00:24,017 --> 00:00:26,457 Speaker 2: because I got stuck here because they cancel a few 6 00:00:26,497 --> 00:00:27,577 Speaker 2: thousand flights. 7 00:00:27,577 --> 00:00:29,377 Speaker 3: So here I am in the Big Apple. 8 00:00:29,697 --> 00:00:33,777 Speaker 2: But fortunately my buddy Alex Berenson is around to shed 9 00:00:33,817 --> 00:00:35,577 Speaker 2: some light on things. You all know him from his 10 00:00:35,617 --> 00:00:41,417 Speaker 2: phenomenal substack. His book Pandemia and Unreported Truths is the 11 00:00:41,457 --> 00:00:44,097 Speaker 2: COVID substack. He's still fighting a good fight to get 12 00:00:44,177 --> 00:00:48,217 Speaker 2: us some truth on what the heck happened during COVID. 13 00:00:48,337 --> 00:00:50,657 Speaker 2: We know it was a complete disaster in terms of 14 00:00:50,657 --> 00:00:53,617 Speaker 2: the response. Mister Berenson, always an honor, sir. Good to 15 00:00:53,617 --> 00:00:55,977 Speaker 2: see you again, Good to see you. 16 00:00:56,617 --> 00:00:59,337 Speaker 4: I was wondering why you had the New York City background. 17 00:00:59,417 --> 00:01:01,857 Speaker 2: I know I'm usually a Miami guy these days, but 18 00:01:02,057 --> 00:01:04,377 Speaker 2: you know that I don't know what's going on. Airlines 19 00:01:04,697 --> 00:01:07,737 Speaker 2: getting worse. I'm not just gonna say it's Biden's fault, 20 00:01:07,737 --> 00:01:09,897 Speaker 2: but maybe it's Biden's fault. Airlines seem to be getting 21 00:01:09,897 --> 00:01:12,977 Speaker 2: worse all the time. Tell me this though, this, So 22 00:01:13,057 --> 00:01:15,217 Speaker 2: this is something I saw this, you share this on 23 00:01:15,257 --> 00:01:17,417 Speaker 2: your sub stack, which I'm a subscriber to, plays a 24 00:01:17,417 --> 00:01:21,657 Speaker 2: subscriber to, so you know, we're fans, and you're talking 25 00:01:21,697 --> 00:01:24,737 Speaker 2: about something that's really important to people, or should be 26 00:01:24,777 --> 00:01:26,937 Speaker 2: really important to everybody. Some people, I think, try to 27 00:01:26,937 --> 00:01:28,817 Speaker 2: block this stuff out now, and. 28 00:01:28,857 --> 00:01:34,017 Speaker 1: It is, well, were there really serious fatal heart issues 29 00:01:34,617 --> 00:01:39,617 Speaker 1: based on real studies from real places that people need 30 00:01:39,657 --> 00:01:41,497 Speaker 1: to know about when it comes to the COVID vaccine? 31 00:01:41,497 --> 00:01:42,257 Speaker 3: What can you tell us? 32 00:01:43,297 --> 00:01:43,577 Speaker 4: Sure? 33 00:01:43,817 --> 00:01:46,897 Speaker 5: So this sort of comes under the broadheading of Died Suddenly, 34 00:01:47,017 --> 00:01:50,737 Speaker 5: which you know that's been a controversial topic. And there 35 00:01:50,817 --> 00:01:53,017 Speaker 5: was a movie that came out a few months ago 36 00:01:53,057 --> 00:01:56,097 Speaker 5: which actually was to my mind a real problem because 37 00:01:56,377 --> 00:01:59,857 Speaker 5: it was so easy to dismiss. But but so died 38 00:01:59,977 --> 00:02:02,737 Speaker 5: Suddenly is you know, people who were vaccinated and then 39 00:02:02,777 --> 00:02:07,777 Speaker 5: had cardiac events afterwards, right who or cardiovascular you know? 40 00:02:07,857 --> 00:02:10,617 Speaker 5: And and to take an example that nobody would disagree with, 41 00:02:10,857 --> 00:02:14,137 Speaker 5: there's a small number of really middle aged, young and 42 00:02:14,137 --> 00:02:18,937 Speaker 5: middle aged women who had terrible uh bleeds in their 43 00:02:19,017 --> 00:02:22,537 Speaker 5: brain following the Johnson and Johnson are Astroseneca vaccine. You know, 44 00:02:22,537 --> 00:02:24,857 Speaker 5: it was it was just a tiny handful of women, 45 00:02:25,297 --> 00:02:27,897 Speaker 5: but these were fatal most of the time, and they 46 00:02:27,937 --> 00:02:32,257 Speaker 5: were terrible. So the issue with the mRNA vaccines is 47 00:02:32,577 --> 00:02:35,617 Speaker 5: we know they can cause myocarditis in some people. That's 48 00:02:35,617 --> 00:02:39,297 Speaker 5: you know, heart inflammation. But the CDC and these you know, 49 00:02:39,377 --> 00:02:42,377 Speaker 5: these groups have all the public health bureaucrats and the media. 50 00:02:42,377 --> 00:02:45,097 Speaker 5: They all say, oh, it's it's very rare when that happens, 51 00:02:45,137 --> 00:02:48,297 Speaker 5: and it's very mild, and uh, you know, and yes, 52 00:02:48,417 --> 00:02:51,177 Speaker 5: there are gonna be some people who die after being vaccinated, 53 00:02:51,217 --> 00:02:53,897 Speaker 5: but that would just happen randomly, that just you know, 54 00:02:53,977 --> 00:02:57,057 Speaker 5: it would because so many people got vaccinated. You have 55 00:02:57,097 --> 00:03:00,737 Speaker 5: to expect that some people will die, you know, even 56 00:03:00,737 --> 00:03:02,737 Speaker 5: if they're young and healthy. Just because we're giving a 57 00:03:02,737 --> 00:03:05,737 Speaker 5: billion vaccines to people, or we're going to give a 58 00:03:05,817 --> 00:03:08,377 Speaker 5: billion people this this new vaccine, some of them are 59 00:03:08,377 --> 00:03:10,897 Speaker 5: going to die. It turns out that's not true. It 60 00:03:10,977 --> 00:03:14,737 Speaker 5: turns out that there is a there's a real pattern 61 00:03:15,377 --> 00:03:19,017 Speaker 5: that if you autopsy people who've died shortly after being 62 00:03:19,097 --> 00:03:25,657 Speaker 5: vaccinated of sudden cardiac events, you can see the inflammation 63 00:03:25,937 --> 00:03:30,417 Speaker 5: in their hearts in a specific way. And in the 64 00:03:30,457 --> 00:03:34,137 Speaker 5: cases where this is vaccine cost and and doctors in 65 00:03:34,497 --> 00:03:39,257 Speaker 5: three different countries, in Japan, in South Korea, and in Cutter, 66 00:03:40,257 --> 00:03:41,737 Speaker 5: you know, and I would say all three of those 67 00:03:41,737 --> 00:03:43,977 Speaker 5: countries are advanced countries, including Cutter. I mean Cutter is 68 00:03:43,977 --> 00:03:49,497 Speaker 5: a wealthy nation. They did medical record reviews or autopsies, 69 00:03:49,537 --> 00:03:54,657 Speaker 5: and they found a significant number of deaths that you know, 70 00:03:54,777 --> 00:03:58,457 Speaker 5: in young men, especially after being vaccinated. These sudden cardiac 71 00:03:58,497 --> 00:04:01,417 Speaker 5: deaths could be causally linked to the vaccine. 72 00:04:01,457 --> 00:04:02,377 Speaker 4: So I want to be clear. 73 00:04:02,417 --> 00:04:05,377 Speaker 5: We're not talking about, you know, ten people get vaccinated 74 00:04:05,457 --> 00:04:08,497 Speaker 5: and one dies a sudden cardiac death. If that had happened, 75 00:04:08,497 --> 00:04:11,137 Speaker 5: it would be obvious. We're talking about maybe, if there's 76 00:04:11,217 --> 00:04:16,657 Speaker 5: fifty thousand vaccination series given to people, one young man 77 00:04:16,897 --> 00:04:20,537 Speaker 5: might die. Okay, so maybe that doesn't sound like a 78 00:04:20,577 --> 00:04:23,577 Speaker 5: lot to people, But when you vaccinate one hundred million 79 00:04:23,697 --> 00:04:26,857 Speaker 5: people under the age of forty, that's a couple of 80 00:04:26,897 --> 00:04:28,897 Speaker 5: thousand deaths globally. And the other thing you have to 81 00:04:28,977 --> 00:04:33,537 Speaker 5: understand about this is is there's no benefit to vaccinating 82 00:04:33,537 --> 00:04:36,817 Speaker 5: those people. If you're a healthy young man, you're at 83 00:04:37,137 --> 00:04:39,817 Speaker 5: very very low risk from COVID, putting aside all the 84 00:04:39,857 --> 00:04:42,337 Speaker 5: other band things that can happen if you're vaccinated with 85 00:04:42,417 --> 00:04:45,017 Speaker 5: these mRNA's and stuff that we you know, we're only 86 00:04:45,017 --> 00:04:47,217 Speaker 5: two years into this. We don't even know truly what 87 00:04:47,297 --> 00:04:49,737 Speaker 5: the long term effects are. And putting aside the fact 88 00:04:49,777 --> 00:04:53,577 Speaker 5: that these vaccines don't do anything to stop COVID long term, 89 00:04:53,857 --> 00:04:57,817 Speaker 5: this all by itself suggests that there's a measurable risk 90 00:04:58,137 --> 00:05:03,297 Speaker 5: that somebody is going to drop dead of milcarditis that 91 00:05:03,457 --> 00:05:07,617 Speaker 5: leads to a heart attack and or cardiac death. And 92 00:05:08,057 --> 00:05:11,977 Speaker 5: unless you do the work, unless you autopsy them. 93 00:05:11,617 --> 00:05:12,897 Speaker 4: You're never going to know it. 94 00:05:13,377 --> 00:05:16,897 Speaker 5: And so to me, it's just it's disgusting that the 95 00:05:16,897 --> 00:05:20,577 Speaker 5: public health authorities won't acknowledge this, and that they that 96 00:05:20,657 --> 00:05:23,177 Speaker 5: they that they that they didn't do the work, and 97 00:05:23,297 --> 00:05:25,297 Speaker 5: instead of doing the work, they said people like me 98 00:05:25,817 --> 00:05:28,417 Speaker 5: were just making it up. Well, you know, it's not me, 99 00:05:28,697 --> 00:05:32,497 Speaker 5: it's it's doctors in Japan and South Korea and Kutter 100 00:05:32,897 --> 00:05:36,057 Speaker 5: who who did very good work on this. 101 00:05:37,137 --> 00:05:42,617 Speaker 2: Why isn't the US doing anything at this phase of 102 00:05:42,697 --> 00:05:45,897 Speaker 2: the game. I mean, I could guess, but I just 103 00:05:45,937 --> 00:05:47,897 Speaker 2: want to know. I mean, how could it be for 104 00:05:47,977 --> 00:05:50,497 Speaker 2: all the people out there, for the doctor Hotes is 105 00:05:50,617 --> 00:05:52,457 Speaker 2: you know, sitting in the back, now that you were 106 00:05:52,497 --> 00:05:53,937 Speaker 2: sitting in the front. But now they're kind of all 107 00:05:53,977 --> 00:05:59,257 Speaker 2: shuffling around what possible rationale could there be for other 108 00:05:59,377 --> 00:06:03,337 Speaker 2: countries doing more serious studies of the covid vaccine side 109 00:06:03,337 --> 00:06:04,737 Speaker 2: effects than what we see here. 110 00:06:06,377 --> 00:06:08,057 Speaker 4: I mean, obviously we just don't want to. 111 00:06:08,217 --> 00:06:10,737 Speaker 5: I mean, whether or not the public health authorities are 112 00:06:10,737 --> 00:06:13,017 Speaker 5: going to admit it, the covid vaccines are dead. 113 00:06:13,217 --> 00:06:13,577 Speaker 4: Okay. 114 00:06:14,057 --> 00:06:17,817 Speaker 5: Walgreens actually, Walgreens is you know, obviously a huge drug 115 00:06:17,857 --> 00:06:22,577 Speaker 5: store chain. Their earnings fell short of estimates, their stock 116 00:06:22,577 --> 00:06:26,177 Speaker 5: went way down yesterday Tuesday, and one reason was they 117 00:06:26,217 --> 00:06:31,217 Speaker 5: said covid vaccines fell even further than we predicted they 118 00:06:31,257 --> 00:06:33,937 Speaker 5: would year over year, They felt more than eighty percent. 119 00:06:34,457 --> 00:06:37,857 Speaker 5: So I think everybody in the public health establishment, whether 120 00:06:37,897 --> 00:06:40,657 Speaker 5: they know it or not, or I'm sorry, whether they 121 00:06:40,697 --> 00:06:43,417 Speaker 5: admit it or not, is fully aware that nobody under 122 00:06:43,417 --> 00:06:46,057 Speaker 5: fifty is ever going to get these shots again. Most 123 00:06:46,257 --> 00:06:48,217 Speaker 5: you know, most older people aren't even gonna get them. 124 00:06:48,337 --> 00:06:50,857 Speaker 5: There's gonna be very few of these administered, and they're 125 00:06:50,897 --> 00:06:53,457 Speaker 5: just gonna pretend this's never happened, just like they pretended 126 00:06:53,457 --> 00:06:56,737 Speaker 5: the lockdowns didn't happen, and they pretended school closures weren't 127 00:06:56,737 --> 00:06:59,177 Speaker 5: their fault, and they pretended, you know, we didn't spend 128 00:06:59,217 --> 00:07:02,017 Speaker 5: billions and billions of dollars on useless test and trace 129 00:07:02,057 --> 00:07:04,177 Speaker 5: and try to get you to download digital apps on 130 00:07:04,217 --> 00:07:04,657 Speaker 5: your phone. 131 00:07:04,777 --> 00:07:06,417 Speaker 4: Remember all this stuff book. 132 00:07:06,217 --> 00:07:09,977 Speaker 5: Yeah, this happened, and it's all been memory hold and 133 00:07:10,057 --> 00:07:12,057 Speaker 5: and everything that happened with the vaccines is going to 134 00:07:12,177 --> 00:07:15,097 Speaker 5: is going the same way. It's totally obvious. And so 135 00:07:15,177 --> 00:07:18,297 Speaker 5: to research these side effects, they just don't want to. 136 00:07:18,377 --> 00:07:20,737 Speaker 5: They're just I think they're just hoping that there's no 137 00:07:20,977 --> 00:07:24,017 Speaker 5: long term damage. The problem for them is that if 138 00:07:24,057 --> 00:07:27,297 Speaker 5: you look at England in particular, which has really good 139 00:07:27,737 --> 00:07:31,497 Speaker 5: death data that they report weekly, is still way way 140 00:07:31,617 --> 00:07:36,537 Speaker 5: above normal in terms of all cause mortality, and nobody 141 00:07:36,537 --> 00:07:38,857 Speaker 5: has been able to explain that either. So when I 142 00:07:38,857 --> 00:07:41,537 Speaker 5: say way way above normal again, I'm not talking about 143 00:07:41,537 --> 00:07:43,577 Speaker 5: oh they're you know, double the number of people have died. 144 00:07:43,617 --> 00:07:46,177 Speaker 5: What I mean is ten or fifteen percent above normal, 145 00:07:46,417 --> 00:07:49,617 Speaker 5: which during COVID time that's about what it was, and 146 00:07:49,657 --> 00:07:51,817 Speaker 5: we shut down the world. Now we're running at the 147 00:07:51,857 --> 00:07:54,857 Speaker 5: same death rates and the public health authorities just won't 148 00:07:54,897 --> 00:07:57,937 Speaker 5: even talk about it. So I mean I do feel 149 00:07:58,177 --> 00:08:00,897 Speaker 5: you know, I know you still talk about this. You 150 00:08:00,897 --> 00:08:03,617 Speaker 5: know when Tucker was on you Know, which obviously is 151 00:08:03,657 --> 00:08:05,977 Speaker 5: not on Fox anymore, but he was talking about it. 152 00:08:06,017 --> 00:08:08,377 Speaker 5: Hopefully when he gets back on Twitter, he'll talk about it. 153 00:08:08,617 --> 00:08:12,497 Speaker 5: But I feel like we're we're trying to swim upstream 154 00:08:12,577 --> 00:08:16,657 Speaker 5: here against a media that just wants to pretend that 155 00:08:16,857 --> 00:08:18,897 Speaker 5: nothing in the last three years happened. 156 00:08:18,937 --> 00:08:20,577 Speaker 2: So can I want to offer you a theori ast 157 00:08:20,577 --> 00:08:23,497 Speaker 2: to why that's happening. And it's a tremendous frustration for me. 158 00:08:23,817 --> 00:08:26,017 Speaker 2: I mean, you were out there and you deserve all 159 00:08:26,057 --> 00:08:28,977 Speaker 2: credit on this one on the forefront, shouting to everybody, 160 00:08:29,057 --> 00:08:32,537 Speaker 2: this is crazy, particularly in the vacs. I mean, I 161 00:08:32,577 --> 00:08:35,217 Speaker 2: thought masks were insane from the beginning, and they were, 162 00:08:35,337 --> 00:08:37,977 Speaker 2: and lockdowns were absolutely nuts from the beginning, and they 163 00:08:37,977 --> 00:08:40,337 Speaker 2: were the vaccines. I was willing to be like, all right, 164 00:08:40,377 --> 00:08:42,177 Speaker 2: I mean, you know they think these things work. You 165 00:08:42,217 --> 00:08:44,057 Speaker 2: were saying, hold on, hold on, look at the data. 166 00:08:44,177 --> 00:08:45,977 Speaker 2: I want to get back in a second, Alex to 167 00:08:46,177 --> 00:08:49,777 Speaker 2: why I think that's going on and what's happening kind 168 00:08:49,777 --> 00:08:52,657 Speaker 2: of at a mass psychology level, But first word from 169 00:08:52,657 --> 00:08:55,697 Speaker 2: our sponsor, these days at the longest daylight hours of 170 00:08:55,697 --> 00:08:58,817 Speaker 2: the year, so you can get done a lot when 171 00:08:58,857 --> 00:09:01,697 Speaker 2: it comes to your day to day and especially outdoor activity, 172 00:09:01,857 --> 00:09:03,857 Speaker 2: but you have to have the energy for it. 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Chalk Cchoq dot com use Buck 190 00:09:58,337 --> 00:10:00,617 Speaker 2: as the promo code for thirty five percent off. 191 00:10:01,017 --> 00:10:03,257 Speaker 3: All right, Alex on Covid, I think this is what's happened. 192 00:10:04,377 --> 00:10:08,257 Speaker 2: They used brute force to make everybody do things, including 193 00:10:08,297 --> 00:10:11,097 Speaker 2: people who knew that it was crazy. But that created 194 00:10:11,097 --> 00:10:15,257 Speaker 2: a a complicity that now everybody just wants to forget, right, 195 00:10:15,337 --> 00:10:16,617 Speaker 2: Like I think of I think of a lot of 196 00:10:16,657 --> 00:10:20,137 Speaker 2: parents out there who probably thought to themselves, my kid 197 00:10:20,217 --> 00:10:22,097 Speaker 2: being masked up on the plane and in school and 198 00:10:22,137 --> 00:10:25,217 Speaker 2: all this stuff is absurd, But they did it because. 199 00:10:24,977 --> 00:10:26,617 Speaker 3: They were made to do it. 200 00:10:26,857 --> 00:10:29,377 Speaker 2: And so I think now there's just a everyone wants 201 00:10:29,417 --> 00:10:31,657 Speaker 2: to forget because a lot of us had to do 202 00:10:31,697 --> 00:10:33,457 Speaker 2: crazy things, whether we wanted to or not. 203 00:10:35,377 --> 00:10:38,657 Speaker 5: Uh yeah, I mean I fear you're right. You know, 204 00:10:38,697 --> 00:10:41,817 Speaker 5: we're all we're all good Germans now right, we're all 205 00:10:41,817 --> 00:10:44,097 Speaker 5: we all want to forget what we what we did. 206 00:10:44,377 --> 00:10:46,817 Speaker 5: And and for those few of us who and you know, 207 00:10:46,897 --> 00:10:49,497 Speaker 5: I would put you in this category who really from 208 00:10:49,537 --> 00:10:52,377 Speaker 5: the beginning stood out and said some of the I 209 00:10:52,457 --> 00:10:54,017 Speaker 5: forgot masks. By the way, when I said all the 210 00:10:54,017 --> 00:10:57,857 Speaker 5: crazy stuff, right, they they the masks were masking was 211 00:10:57,897 --> 00:11:01,417 Speaker 5: crazy too, but we all went along with it, and 212 00:11:01,497 --> 00:11:03,577 Speaker 5: we all, yeah, you're right, we all want to forget it, 213 00:11:04,217 --> 00:11:07,337 Speaker 5: and so I feel like sometimes and you know, look, 214 00:11:07,377 --> 00:11:09,937 Speaker 5: I got still have a tremendous following on substack, and 215 00:11:10,137 --> 00:11:12,177 Speaker 5: you can go and see how many you know, how 216 00:11:12,177 --> 00:11:15,017 Speaker 5: many comments in the average article gets. My readers are 217 00:11:15,137 --> 00:11:18,617 Speaker 5: very like focused on this. But I can feel that 218 00:11:18,777 --> 00:11:21,977 Speaker 5: we are sort of a small group that we are, 219 00:11:22,137 --> 00:11:25,097 Speaker 5: that we are trying to resist the memory holding and 220 00:11:25,137 --> 00:11:28,777 Speaker 5: say we need to fix the historical record. But when 221 00:11:29,337 --> 00:11:32,177 Speaker 5: when thirty percent of the country actively liked it and 222 00:11:32,257 --> 00:11:35,057 Speaker 5: fifty or sixty percent as you say, went along with 223 00:11:35,097 --> 00:11:39,857 Speaker 5: it despite their concerns, that doesn't leave that many people. 224 00:11:40,257 --> 00:11:42,977 Speaker 2: Yeah, it's it's amazing to see how like I mean 225 00:11:42,977 --> 00:11:45,817 Speaker 2: to me, you know, if you're like Gretchen Whitmer in 226 00:11:46,057 --> 00:11:49,817 Speaker 2: Michigan and she got pretty resoundingly re elected, I just 227 00:11:49,897 --> 00:11:52,377 Speaker 2: want to say, what the hell is that? I mean, 228 00:11:52,417 --> 00:11:56,577 Speaker 2: that is this woman was insane, was like this you know, 229 00:11:57,057 --> 00:12:00,337 Speaker 2: Hellish soccer mom tyrant. You know, it was like Stalin 230 00:12:00,417 --> 00:12:03,217 Speaker 2: decided to run the state of Michigan for a while 231 00:12:03,377 --> 00:12:05,497 Speaker 2: and Michigan Anders went along with it. I mean, one 232 00:12:05,577 --> 00:12:08,817 Speaker 2: area that I wonder if they're really going to track 233 00:12:08,817 --> 00:12:10,857 Speaker 2: this down or not, because normally they will You've probably 234 00:12:10,857 --> 00:12:13,497 Speaker 2: seen alex two hundred billion dollars of COVID relief they 235 00:12:13,537 --> 00:12:17,177 Speaker 2: think was was effectively stolen through fraud. Are they going 236 00:12:17,257 --> 00:12:19,097 Speaker 2: to track all that down or a lot of those 237 00:12:19,137 --> 00:12:20,577 Speaker 2: frauds ors? Is it going to be part of the 238 00:12:20,617 --> 00:12:21,177 Speaker 2: memory holding? 239 00:12:21,537 --> 00:12:26,697 Speaker 5: You know? That seems one thing that they will, you know, 240 00:12:26,897 --> 00:12:29,457 Speaker 5: discuss is how you know there's some you know, if 241 00:12:29,497 --> 00:12:32,817 Speaker 5: you were some some guy in Houston or whatever who 242 00:12:32,897 --> 00:12:35,137 Speaker 5: had you know, bought eighteen cars like. 243 00:12:35,297 --> 00:12:37,177 Speaker 4: Those are those are the one people. 244 00:12:36,857 --> 00:12:38,577 Speaker 5: Were allowed to say, you know, the one type of 245 00:12:38,577 --> 00:12:42,657 Speaker 5: person who's the victor or the villain of COVID. I 246 00:12:42,697 --> 00:12:46,337 Speaker 5: will say it's interesting and so so the US doesn't 247 00:12:46,377 --> 00:12:50,137 Speaker 5: talk about vaccine side effects, there is work being done 248 00:12:50,177 --> 00:12:51,217 Speaker 5: in other countries. 249 00:12:52,057 --> 00:12:53,977 Speaker 4: And the Europeans. 250 00:12:53,337 --> 00:12:57,337 Speaker 5: Actually, who are who are a little bit more resistant 251 00:12:57,377 --> 00:13:00,377 Speaker 5: to you know, advanced biotechnology than the US and certainly 252 00:13:00,417 --> 00:13:03,897 Speaker 5: don't like to pay for it. You know, they are 253 00:13:04,057 --> 00:13:08,537 Speaker 5: fighting right now with Pfizer and Maderna about the fact 254 00:13:08,537 --> 00:13:10,817 Speaker 5: that Pfizer and Maderna wanted to deliver a hundreds of 255 00:13:10,857 --> 00:13:14,697 Speaker 5: millions of more doses of vaccines that the Europeans don't want, 256 00:13:15,097 --> 00:13:18,017 Speaker 5: and so and so basically, they're gonna get stuck in 257 00:13:18,017 --> 00:13:21,377 Speaker 5: a freezer until they're expired. And Piser and Maderna are 258 00:13:21,417 --> 00:13:24,457 Speaker 5: basically I should say, I'm not as sure about Maderna, 259 00:13:24,537 --> 00:13:27,297 Speaker 5: but Pfizer has basically said, you don't want the vaccines, fine, 260 00:13:27,337 --> 00:13:29,457 Speaker 5: you just have to pay us half of what we 261 00:13:29,497 --> 00:13:33,417 Speaker 5: would have gotten for them anyway, And so that has 262 00:13:33,497 --> 00:13:34,697 Speaker 5: caused a little bit of. 263 00:13:34,617 --> 00:13:35,977 Speaker 4: Anger in Europe. 264 00:13:35,617 --> 00:13:39,457 Speaker 5: But you know, you would think, buck, there are investigative 265 00:13:39,497 --> 00:13:42,337 Speaker 5: reporters out there who would be interested forget about whether 266 00:13:42,417 --> 00:13:44,937 Speaker 5: how well the vaccines worked or didn't the fact that 267 00:13:45,577 --> 00:13:48,857 Speaker 5: literally probably about two billion doses, as best as I 268 00:13:48,897 --> 00:13:53,137 Speaker 5: can figure, were manufactured and paid for and never used 269 00:13:53,257 --> 00:13:54,697 Speaker 5: at a cost of something. 270 00:13:54,497 --> 00:13:56,177 Speaker 4: Like forty billion dollars. 271 00:13:56,577 --> 00:13:58,977 Speaker 5: I mean, I know, we have a big government that 272 00:13:59,017 --> 00:14:01,697 Speaker 5: wastes a lot of money, and it wasn't all in 273 00:14:01,697 --> 00:14:04,337 Speaker 5: the US anyway, but forty billion dollars is still a 274 00:14:04,377 --> 00:14:07,377 Speaker 5: lot of money. Yet, because it's related to you know, 275 00:14:07,417 --> 00:14:11,857 Speaker 5: the Holy vaccine, no investigator in the world except me, 276 00:14:12,297 --> 00:14:17,297 Speaker 5: well touch It's really it's really phenomenal, the unwillingness to 277 00:14:17,337 --> 00:14:19,817 Speaker 5: ask just the most basic questions. 278 00:14:20,537 --> 00:14:24,737 Speaker 2: I wanted to get your take on RFK junior, Alex 279 00:14:24,817 --> 00:14:26,297 Speaker 2: I haven't had a chance to ask you about this 280 00:14:26,337 --> 00:14:28,377 Speaker 2: and where he is on this. We'll get to that 281 00:14:28,417 --> 00:14:31,017 Speaker 2: here in just a second. But the Tunnel the Towers 282 00:14:31,057 --> 00:14:33,777 Speaker 2: Foundation delivers on its promise to do good and never 283 00:14:33,817 --> 00:14:36,977 Speaker 2: forget the sacrifices America's greatest heroes have made for us. 284 00:14:37,297 --> 00:14:40,777 Speaker 2: Here's like Marine Corps Corporal Seth Rasmussen. Seth was one 285 00:14:40,857 --> 00:14:43,057 Speaker 2: of five Marines killed in a training accident when his 286 00:14:43,137 --> 00:14:46,297 Speaker 2: Osprey aircraft crashed in California. He was just twenty one 287 00:14:46,377 --> 00:14:48,857 Speaker 2: years old. Set That survived by his wife in high 288 00:14:48,857 --> 00:14:52,497 Speaker 2: school sweetheart Avery, and their infant son. Tunata Towers reached 289 00:14:52,497 --> 00:14:55,097 Speaker 2: out to Avery within days of Seth's death to tell 290 00:14:55,137 --> 00:14:58,337 Speaker 2: her she would receive a mortgage free home. Avery didn't 291 00:14:58,377 --> 00:15:00,377 Speaker 2: have to worry about where she and her son were 292 00:15:00,377 --> 00:15:02,217 Speaker 2: going to live or how she would pay for it 293 00:15:02,297 --> 00:15:05,417 Speaker 2: because of the financial security and support provided by Tunnel 294 00:15:05,457 --> 00:15:08,297 Speaker 2: to Towers. Tunnel the Towers has helped over one thousand 295 00:15:08,337 --> 00:15:11,417 Speaker 2: military and first responder families navigate the worst of times 296 00:15:11,617 --> 00:15:14,337 Speaker 2: by removing the burden of a mortgage payment. Support our 297 00:15:14,417 --> 00:15:17,417 Speaker 2: nation's heroes and their families donate eleven dollars a month 298 00:15:17,417 --> 00:15:19,897 Speaker 2: to tell the towers at T two t dot org. 299 00:15:20,217 --> 00:15:25,257 Speaker 2: That's t the number two T dot org. Alex RFK Junior. 300 00:15:25,777 --> 00:15:27,977 Speaker 2: I get this all the time. People say, Buck, you 301 00:15:28,017 --> 00:15:30,737 Speaker 2: agree with him on COVID, and I say yes, but 302 00:15:30,817 --> 00:15:32,737 Speaker 2: I said, I don't know about all the other stuff 303 00:15:32,777 --> 00:15:34,897 Speaker 2: though that's going on. When he's talking about all you know, 304 00:15:34,937 --> 00:15:36,577 Speaker 2: he went on Rogan. I know you've been on Rogan 305 00:15:36,617 --> 00:15:39,817 Speaker 2: talking about the vaccines. You know my YouTube channel has 306 00:15:39,857 --> 00:15:43,057 Speaker 2: been going far too long without a strike, So why 307 00:15:43,057 --> 00:15:45,377 Speaker 2: don't you tell me, Alex? What do we need to 308 00:15:45,457 --> 00:15:48,137 Speaker 2: know here about RFK Junior? Is he getting it right? 309 00:15:48,257 --> 00:15:50,977 Speaker 2: Is he going too far when he talks about vaccine specifically? 310 00:15:51,897 --> 00:15:54,097 Speaker 4: I mean, I think I basically agree with you. 311 00:15:54,697 --> 00:15:56,977 Speaker 5: I hate I hate to agree because I know it's 312 00:15:57,337 --> 00:16:00,857 Speaker 5: it's boring television or podcast, and maybe that's why we 313 00:16:00,857 --> 00:16:04,377 Speaker 5: should get a strike. But look, he he's right to 314 00:16:04,497 --> 00:16:07,697 Speaker 5: raise serious questions about the m R and ASH. 315 00:16:08,337 --> 00:16:12,737 Speaker 4: I have not investigated the childhood vaccines. I never have. 316 00:16:14,217 --> 00:16:18,217 Speaker 5: My sense from people I trust is that they work, 317 00:16:18,537 --> 00:16:20,817 Speaker 5: and my kids have all been vaccinating with the standard stuff, 318 00:16:20,857 --> 00:16:23,897 Speaker 5: not the MR ANDAs they've all gotten the standard vaccine schedules. 319 00:16:23,937 --> 00:16:29,297 Speaker 5: I don't have any regrets about that, and they'll continue 320 00:16:29,337 --> 00:16:31,737 Speaker 5: to go on the standard schedule. So that's where I 321 00:16:31,777 --> 00:16:32,817 Speaker 5: personally stand on that. 322 00:16:32,897 --> 00:16:34,657 Speaker 2: Well, I think that's really important by the people know this, 323 00:16:34,817 --> 00:16:36,617 Speaker 2: not like you know, you know what I mean that 324 00:16:36,897 --> 00:16:39,057 Speaker 2: the way that people act like, I know, the climate 325 00:16:39,137 --> 00:16:41,657 Speaker 2: change lunacy is crap because they're all frauds, right, They 326 00:16:41,697 --> 00:16:43,777 Speaker 2: don't actually live their lives where they want everyone else to. 327 00:16:44,937 --> 00:16:47,297 Speaker 2: If you've gotten your own kids vaccinated and feel good 328 00:16:47,337 --> 00:16:49,657 Speaker 2: about it, people need to know that. 329 00:16:49,817 --> 00:16:55,137 Speaker 5: Yes, here's what I would say broadly, okay about RFK JR. 330 00:16:55,537 --> 00:16:59,657 Speaker 5: He is raising good questions about the fact that, you know, 331 00:16:59,897 --> 00:17:04,057 Speaker 5: the childhood and adult vaccine schedule has just exploded in 332 00:17:04,097 --> 00:17:07,217 Speaker 5: the last twenty five years, and there's clearly the fact 333 00:17:07,217 --> 00:17:10,417 Speaker 5: that these companies can get liability protection for anything that 334 00:17:10,457 --> 00:17:13,377 Speaker 5: gets labeled as a vaccine is driving that. The fact 335 00:17:13,417 --> 00:17:15,217 Speaker 5: that this used to be sort of a tiny little 336 00:17:15,257 --> 00:17:18,017 Speaker 5: corner of the pharmaceutical world and now it's bigger and 337 00:17:18,057 --> 00:17:21,697 Speaker 5: bigger business, you know, with the with the m R 338 00:17:21,737 --> 00:17:25,457 Speaker 5: and A COVID vaccines being the biggest pharmaceutical product ever 339 00:17:25,617 --> 00:17:27,897 Speaker 5: over the last you know, twenty four months, although now 340 00:17:27,937 --> 00:17:29,697 Speaker 5: that's you know, that's that's gone away. 341 00:17:31,257 --> 00:17:32,217 Speaker 4: I think he's right. 342 00:17:32,377 --> 00:17:37,297 Speaker 5: He's right that we we need to look critically at 343 00:17:37,337 --> 00:17:40,057 Speaker 5: what we're doing with these products that we call vaccines 344 00:17:40,057 --> 00:17:43,697 Speaker 5: that have very very little in common with old school 345 00:17:43,977 --> 00:17:46,737 Speaker 5: you know, the old school polio vaccine or the old 346 00:17:46,777 --> 00:17:50,777 Speaker 5: you know, these these these simple inactivated virus vaccines that 347 00:17:50,817 --> 00:17:53,097 Speaker 5: have been around for a long time. So I agree 348 00:17:53,097 --> 00:17:56,497 Speaker 5: with that, and I also agree with his broad critique 349 00:17:56,497 --> 00:17:59,977 Speaker 5: that the that the medical system, especially in the United States, 350 00:18:00,377 --> 00:18:02,737 Speaker 5: is not working very well for people that you know 351 00:18:02,777 --> 00:18:05,777 Speaker 5: that they're they're all the money we spend, our results 352 00:18:05,817 --> 00:18:09,017 Speaker 5: are terrible, and you know, I don't even know if 353 00:18:09,017 --> 00:18:12,617 Speaker 5: it's fixable. But I understand the frustration that he's channeling. 354 00:18:12,937 --> 00:18:15,977 Speaker 5: But that said, the specific stuff that he gets on with, 355 00:18:16,017 --> 00:18:18,577 Speaker 5: whether it's about you know, Wi FI, I don't even 356 00:18:18,657 --> 00:18:21,097 Speaker 5: understand what the wi FI critique is, to be honest 357 00:18:21,097 --> 00:18:23,257 Speaker 5: with you, I mean, or it seems bizarre to me. 358 00:18:23,977 --> 00:18:25,977 Speaker 5: And you know, some of the complaints he has about 359 00:18:26,057 --> 00:18:32,057 Speaker 5: specific childhood vaccines, I don't There does not seem to be. 360 00:18:32,177 --> 00:18:34,617 Speaker 4: Great scientific grounding for a lot of that stuff. 361 00:18:35,497 --> 00:18:38,697 Speaker 5: So so I'm glad, Look, I'm glad that I'm glad 362 00:18:38,697 --> 00:18:41,617 Speaker 5: that he's speaking. I'm glad that somebody who's passionate is 363 00:18:42,217 --> 00:18:46,297 Speaker 5: raising questions about where healthcare is in the United States. 364 00:18:46,777 --> 00:18:49,097 Speaker 5: But a lot of the stuff that he says specifically 365 00:18:49,417 --> 00:18:50,297 Speaker 5: is problematic. 366 00:18:51,777 --> 00:18:52,937 Speaker 3: I want to ask you about. 367 00:18:52,937 --> 00:18:55,977 Speaker 2: So you have a background, I'm back from your days 368 00:18:56,017 --> 00:18:58,257 Speaker 2: the New York Times in looking at like FDA and 369 00:18:58,537 --> 00:19:02,097 Speaker 2: approval of different drugs and foods and things. I want 370 00:19:02,097 --> 00:19:04,777 Speaker 2: to ask you about synthetic meat Bearnson. We're gonna get 371 00:19:04,817 --> 00:19:07,257 Speaker 2: you just a little bit outside the vaccine comfort zone 372 00:19:07,257 --> 00:19:09,697 Speaker 2: here in just a second. But first up, back by 373 00:19:09,697 --> 00:19:12,537 Speaker 2: popular demand, the team at MyPillow has brought their massive 374 00:19:12,577 --> 00:19:15,617 Speaker 2: closeout sale to you with the My Slippers, which are 375 00:19:15,937 --> 00:19:19,017 Speaker 2: their top selling products so many months. It's phenomenal. I've 376 00:19:19,017 --> 00:19:20,417 Speaker 2: got a pair at home, my wife has a pair. 377 00:19:20,657 --> 00:19:22,697 Speaker 2: Every member of my family as a pair. The My 378 00:19:22,817 --> 00:19:25,697 Speaker 2: Slippers are super comfortable. They've got an exclusive four layer 379 00:19:25,777 --> 00:19:28,577 Speaker 2: design you won't find in any other slipper. Patina design 380 00:19:28,577 --> 00:19:31,537 Speaker 2: makes these slippers both durable and comfortable. When you wear them, 381 00:19:31,577 --> 00:19:33,617 Speaker 2: you won't feel any stress in your feet, just pure 382 00:19:33,657 --> 00:19:36,017 Speaker 2: or comfort. Go to my pillow dot com, click on 383 00:19:36,057 --> 00:19:38,337 Speaker 2: the radio listener special square to grab a pair. Of 384 00:19:38,377 --> 00:19:41,657 Speaker 2: the All Season slippers for twenty five dollars regularly priced 385 00:19:41,657 --> 00:19:43,777 Speaker 2: at one hundred and forty nine ninety eight. Enter my 386 00:19:43,937 --> 00:19:46,137 Speaker 2: name buck as the promo code for that twenty five 387 00:19:46,177 --> 00:19:48,457 Speaker 2: dollars price. Go to my pillow dot com, click on 388 00:19:48,457 --> 00:19:50,457 Speaker 2: the radio listeners square get a pair of the all 389 00:19:50,497 --> 00:19:53,817 Speaker 2: season slippers for twenty five bucks when you use promo 390 00:19:53,977 --> 00:19:57,817 Speaker 2: code Buck. All right, Alex, I see that the FDA 391 00:19:57,897 --> 00:20:03,417 Speaker 2: has just to proved lab grown meat. Does that on 392 00:20:03,457 --> 00:20:06,817 Speaker 2: a culinary level? I will speak with some confidence here 393 00:20:06,857 --> 00:20:08,737 Speaker 2: that it is not going to taste like real meat 394 00:20:08,777 --> 00:20:12,137 Speaker 2: and will be gross, because all meats taste like fake meat. 395 00:20:12,217 --> 00:20:14,057 Speaker 2: But is this is it getting a little weird with 396 00:20:14,097 --> 00:20:16,937 Speaker 2: the Frankenstein meats and the you know, the all the 397 00:20:16,937 --> 00:20:18,177 Speaker 2: stuff they're putting in our food. 398 00:20:18,217 --> 00:20:20,617 Speaker 3: This kind of ties into some of the JFK junior stuff. 399 00:20:22,337 --> 00:20:24,777 Speaker 4: You know what, do I have to have an opinion 400 00:20:24,817 --> 00:20:25,297 Speaker 4: on everything? 401 00:20:25,417 --> 00:20:25,617 Speaker 1: Yes? 402 00:20:26,017 --> 00:20:28,977 Speaker 3: Yes, fake meat. You cannot skate escape fake meat. 403 00:20:30,337 --> 00:20:31,537 Speaker 4: I'm not eating you, all right? 404 00:20:31,697 --> 00:20:35,057 Speaker 5: I mean, you know this seems like a solution looking 405 00:20:35,097 --> 00:20:37,937 Speaker 5: for a problem, right, I mean, I guess you want 406 00:20:37,937 --> 00:20:41,577 Speaker 5: to say, like you wanted the taste of meat without 407 00:20:41,617 --> 00:20:43,017 Speaker 5: having to kill animals. 408 00:20:43,057 --> 00:20:45,017 Speaker 4: And I guess. 409 00:20:46,337 --> 00:20:48,017 Speaker 2: Well, it's a climate change thing, is you know, they're 410 00:20:48,057 --> 00:20:50,657 Speaker 2: also doing this with the pizza ovens now in New York. 411 00:20:50,857 --> 00:20:53,737 Speaker 2: They want to get rid of coal fired pizza because 412 00:20:53,737 --> 00:20:56,377 Speaker 2: they say there's too much CO two emission for making 413 00:20:56,937 --> 00:20:59,697 Speaker 2: most delicious and New York at pizza. 414 00:20:59,297 --> 00:21:03,057 Speaker 5: By yeah, I think people, I mean, look, this is 415 00:21:03,097 --> 00:21:06,817 Speaker 5: the bigger issue. The bigger issue is there's a serious 416 00:21:06,857 --> 00:21:09,057 Speaker 5: move in New York State, I think in other Blue 417 00:21:09,097 --> 00:21:12,497 Speaker 5: states to move you know what I would call sort 418 00:21:12,497 --> 00:21:16,537 Speaker 5: of normal heating sources from residential and commercial buildings. 419 00:21:16,617 --> 00:21:17,937 Speaker 4: Right there, we're going to. 420 00:21:17,937 --> 00:21:20,857 Speaker 6: Try to build with with no with no you know, 421 00:21:21,217 --> 00:21:24,897 Speaker 6: oil or or or or or propane or you know, 422 00:21:24,937 --> 00:21:27,977 Speaker 6: we're going to try to build with non carbon emitting 423 00:21:28,657 --> 00:21:29,457 Speaker 6: heating sources. 424 00:21:29,457 --> 00:21:32,097 Speaker 5: And in in in the Northeast and in the Midwest. 425 00:21:32,137 --> 00:21:35,137 Speaker 5: I mean, that just seems absolutely insane and impossible to me. 426 00:21:35,217 --> 00:21:37,937 Speaker 5: I don't know whether they're actually going to, you know, 427 00:21:38,017 --> 00:21:40,897 Speaker 5: try to force this through, but I know in some communities, 428 00:21:41,497 --> 00:21:44,657 Speaker 5: uh you know, some in not too far from where 429 00:21:44,697 --> 00:21:47,497 Speaker 5: I live, there's a town that that's pushing in this direction. 430 00:21:47,777 --> 00:21:53,017 Speaker 5: So I think you said it best when you said 431 00:21:53,857 --> 00:21:56,777 Speaker 5: these people don't they want to get on private jets 432 00:21:56,777 --> 00:21:58,937 Speaker 5: and do whatever they want. Okay, they want to admit 433 00:21:59,017 --> 00:22:02,017 Speaker 5: as much carbon, you know, as a as a million 434 00:22:02,057 --> 00:22:06,457 Speaker 5: African villagers do when they fly to Tahaiti. Okay, So 435 00:22:06,457 --> 00:22:09,497 Speaker 5: so don't lecture me about how I have to change 436 00:22:09,537 --> 00:22:13,257 Speaker 5: my life when you are basically going to exempt yourself 437 00:22:13,297 --> 00:22:15,977 Speaker 5: from all of it. And and I do think that 438 00:22:16,017 --> 00:22:22,137 Speaker 5: the hypocrisy is very destructive, and I don't think any 439 00:22:22,137 --> 00:22:23,737 Speaker 5: of it's gonna work. I mean I do. I think 440 00:22:23,737 --> 00:22:27,857 Speaker 5: if the Democrats actually pushed this, they'll be tremendous pushback 441 00:22:27,897 --> 00:22:28,217 Speaker 5: to them. 442 00:22:29,177 --> 00:22:32,297 Speaker 2: Alex parents and everybody, go check out Alex's a sub 443 00:22:32,337 --> 00:22:33,537 Speaker 2: sect unreported truths? 444 00:22:33,537 --> 00:22:34,697 Speaker 3: Am I still right on that one? 445 00:22:35,457 --> 00:22:35,857 Speaker 5: You are? 446 00:22:35,977 --> 00:22:36,297 Speaker 4: You are? 447 00:22:36,337 --> 00:22:39,137 Speaker 5: There are still truths that you know that are being unreported. 448 00:22:39,177 --> 00:22:42,657 Speaker 5: And hopefully one day we'll get to talk I don't 449 00:22:42,697 --> 00:22:45,057 Speaker 5: know what about the about the Yankees or the Mets 450 00:22:45,137 --> 00:22:46,777 Speaker 5: or something, and we will not have to talk about 451 00:22:46,857 --> 00:22:49,057 Speaker 5: COVID and lies about the vaccines. 452 00:22:49,377 --> 00:22:50,617 Speaker 3: Yes, yes we can. 453 00:22:50,817 --> 00:22:53,417 Speaker 2: Well you'll have to teach me about these things because 454 00:22:53,417 --> 00:22:56,297 Speaker 2: I do not watch the base ball series. Clay is 455 00:22:56,337 --> 00:22:58,697 Speaker 2: the base Actually, I'm going to tell you something. I'm 456 00:22:58,737 --> 00:23:01,177 Speaker 2: calling them out right now I make jokes about this 457 00:23:01,217 --> 00:23:03,577 Speaker 2: on the radio show with Clay. You can bring up, 458 00:23:04,497 --> 00:23:08,257 Speaker 2: you know, a second string SEC player from nineteen seventy five, 459 00:23:08,377 --> 00:23:10,657 Speaker 2: and he'll tell you, you know what that what that 460 00:23:10,697 --> 00:23:12,977 Speaker 2: players like parents' first names were. 461 00:23:13,537 --> 00:23:16,057 Speaker 3: But baseball, he gets a little shaky. I'm just gonna 462 00:23:16,057 --> 00:23:18,257 Speaker 3: tell you baseball. He's you know, he's like, oh yeah, 463 00:23:18,417 --> 00:23:20,897 Speaker 3: you know that that picture. He's great. I'm like, I 464 00:23:20,977 --> 00:23:22,017 Speaker 3: see what you're doing there. 465 00:23:22,497 --> 00:23:25,097 Speaker 2: So you'll you're much more I thick on the baseball 466 00:23:25,137 --> 00:23:26,737 Speaker 2: side of things than both of those. 467 00:23:26,737 --> 00:23:29,257 Speaker 3: You are suing the federal government, aren't you? Is that underway? 468 00:23:29,257 --> 00:23:29,537 Speaker 4: Still? 469 00:23:29,617 --> 00:23:32,657 Speaker 5: Yes, we didn't even we didn't talk. Next time we'll talk. 470 00:23:32,777 --> 00:23:36,377 Speaker 5: Berenson Vie Biden Missouri b Biden. Social media censorship. This 471 00:23:36,537 --> 00:23:38,497 Speaker 5: is an issue that really does matter because it matters 472 00:23:38,577 --> 00:23:40,977 Speaker 5: for all these other things, right, it matters for how 473 00:23:41,017 --> 00:23:44,497 Speaker 5: we demate climate change or Ukraine or any anything else. 474 00:23:44,697 --> 00:23:48,057 Speaker 5: And you know RFK Junior getting censored by YouTube over 475 00:23:48,097 --> 00:23:50,577 Speaker 5: and over again. So I do think this is a 476 00:23:50,617 --> 00:23:53,017 Speaker 5: series like this is worthy of its own segment. 477 00:23:53,177 --> 00:23:55,057 Speaker 2: All right, well, we'll have you back, sir. We'll have 478 00:23:55,097 --> 00:23:56,777 Speaker 2: you on the radio show of the podcast. We'll have 479 00:23:56,817 --> 00:23:58,697 Speaker 2: you in all these places. Go check out alex a 480 00:23:58,777 --> 00:24:02,697 Speaker 2: sub Stack, which is fantastic unreported truth. Mister Barnson, thank 481 00:24:02,737 --> 00:24:05,417 Speaker 2: you for your work, SIRT, thanks for joining you soon