1 00:00:11,697 --> 00:00:14,977 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 --> 00:00:21,617 Speaker 1: wherever you get your podcasts. Hey, everybody, welcome to the 4 00:00:21,657 --> 00:00:24,337 Speaker 1: Buck Brief. We've got Alex Berenson with us, the man 5 00:00:24,337 --> 00:00:28,177 Speaker 1: who was right about COVID, which I think is a 6 00:00:28,657 --> 00:00:31,897 Speaker 1: phenomenally important thing to have been right about, and so 7 00:00:31,937 --> 00:00:34,297 Speaker 1: we're honored to have him here with us today. Unreported 8 00:00:34,377 --> 00:00:38,497 Speaker 1: Truth is his sub stack. I'm a subscriber, so full disclosure, 9 00:00:38,577 --> 00:00:43,057 Speaker 1: recommend you all subscribe as well, mister Alex Berenson. Always 10 00:00:43,057 --> 00:00:48,177 Speaker 1: an honor and a privilege, sir, so is is Fauci 11 00:00:48,897 --> 00:00:52,217 Speaker 1: changing his name and you know, like living in the 12 00:00:52,297 --> 00:00:54,817 Speaker 1: in the Yukon somewhere. I don't think so. Somehow the 13 00:00:54,857 --> 00:00:57,537 Speaker 1: little the evil, little smurf got away with it all. 14 00:00:58,737 --> 00:01:00,977 Speaker 2: Uh yeah, no, I mean I wouldn't say he's changed 15 00:01:01,017 --> 00:01:02,697 Speaker 2: his name. I'd say he's, you know, picking up one 16 00:01:02,737 --> 00:01:06,697 Speaker 2: hundred grand a speaking appearance, and he's got a book 17 00:01:06,737 --> 00:01:10,057 Speaker 2: coming out in June where he will I'm gonna go 18 00:01:10,217 --> 00:01:12,137 Speaker 2: out on a limb hear and say not tell us 19 00:01:12,177 --> 00:01:15,377 Speaker 2: the truth about everything that he knows. But you know, 20 00:01:15,537 --> 00:01:18,137 Speaker 2: I I suspect that book will be released to the 21 00:01:18,217 --> 00:01:21,897 Speaker 2: you know, loud hosannas of the of the same people 22 00:01:21,897 --> 00:01:24,617 Speaker 2: who've been talking about how wonderful a job you did 23 00:01:24,617 --> 00:01:27,337 Speaker 2: for the last four years. It'll be interesting to see 24 00:01:27,377 --> 00:01:31,257 Speaker 2: if there's any sort of critical questioning of uh, you know, 25 00:01:31,497 --> 00:01:35,617 Speaker 2: particularly of the way he tried to steer you know, 26 00:01:35,697 --> 00:01:42,297 Speaker 2: the investigation into the origins of COVID early on. But frankly, unfortunately, 27 00:01:42,337 --> 00:01:45,577 Speaker 2: I think, don't. I just don't anticipate he's going to 28 00:01:45,617 --> 00:01:47,337 Speaker 2: get a lot of pushback. We'll see, we'll see. 29 00:01:47,457 --> 00:01:49,777 Speaker 1: No, I don't think. I don't think he will. I think, unfortunately, 30 00:01:49,817 --> 00:01:51,577 Speaker 1: the problem and this was a worry that I had 31 00:01:51,617 --> 00:01:55,817 Speaker 1: all along during COVID that they may they used force 32 00:01:55,937 --> 00:01:59,497 Speaker 1: to make so many people complicit in the whole thing, 33 00:02:00,057 --> 00:02:03,337 Speaker 1: that everyone at some level like feel like your hands 34 00:02:03,337 --> 00:02:05,217 Speaker 1: like you know, look, I'll just admit like I didn't 35 00:02:05,537 --> 00:02:07,377 Speaker 1: want to be banned from all New York restaurants, and 36 00:02:07,377 --> 00:02:09,457 Speaker 1: I didn't want to falsify. So I got the Jay 37 00:02:09,497 --> 00:02:12,777 Speaker 1: and Jayshot. I thought that was the halfway measure. I 38 00:02:12,817 --> 00:02:14,617 Speaker 1: wish I could sit here and say I refuse because 39 00:02:14,617 --> 00:02:16,857 Speaker 1: I didn't think it. I got the Jay and Jay 40 00:02:16,977 --> 00:02:20,577 Speaker 1: obviously because over the nurses objections who gave it to me? 41 00:02:20,617 --> 00:02:22,697 Speaker 1: She's like, oh this one, this one doesn't really work. 42 00:02:22,697 --> 00:02:24,617 Speaker 1: You don't want this one, and said, no, no, no, give 43 00:02:24,617 --> 00:02:27,337 Speaker 1: me the one that's not the mRNA. I'm good, right, 44 00:02:27,657 --> 00:02:29,537 Speaker 1: And I wish I wish I had gone you know, 45 00:02:29,937 --> 00:02:31,697 Speaker 1: without any of it. But I just bring it up 46 00:02:31,737 --> 00:02:34,977 Speaker 1: because I think they made so many people, you know, 47 00:02:35,617 --> 00:02:38,097 Speaker 1: like they sullied so many hands, and you had no choice. 48 00:02:38,217 --> 00:02:39,737 Speaker 1: The now veryone just wants to forget it. And I 49 00:02:39,817 --> 00:02:41,937 Speaker 1: kind of at some level understand that, but refuse to 50 00:02:41,937 --> 00:02:43,817 Speaker 1: go along with it entirely. Why we have you here, 51 00:02:44,457 --> 00:02:45,257 Speaker 1: the LAB leader. 52 00:02:45,537 --> 00:02:48,697 Speaker 2: Well, you're absolutely correct about it. I mean, I think 53 00:02:48,737 --> 00:02:51,177 Speaker 2: we've talked about this more. Eighty percent of the country now, 54 00:02:51,337 --> 00:02:54,097 Speaker 2: as you know, doesn't want to hear a word about COVID. 55 00:02:54,457 --> 00:02:57,457 Speaker 2: Ten percent is still in that sort of crazy long COVID. 56 00:02:57,457 --> 00:02:59,537 Speaker 2: These are the delusional people who will tweet, you know, 57 00:02:59,577 --> 00:03:02,737 Speaker 2: pictures of themselves with masks and stuff, and then ten percent, 58 00:03:02,817 --> 00:03:05,857 Speaker 2: you know, they there's still people start of reading my 59 00:03:06,017 --> 00:03:09,057 Speaker 2: substack fervently when I you know, when I break news 60 00:03:09,097 --> 00:03:12,257 Speaker 2: about you know, about the LAB leak or about issues 61 00:03:12,257 --> 00:03:14,457 Speaker 2: with the m RNA's But I do I think I 62 00:03:14,497 --> 00:03:17,617 Speaker 2: think you're right. I think most people would rather forget 63 00:03:17,617 --> 00:03:20,297 Speaker 2: that they were ever vaccinated. They know the vaccine didn't 64 00:03:20,337 --> 00:03:22,497 Speaker 2: really work and certainly didn't produce any kind of long 65 00:03:22,577 --> 00:03:26,017 Speaker 2: term protection. They're never going to get another COVID shot, 66 00:03:26,657 --> 00:03:29,417 Speaker 2: and so they are. They just want to be done 67 00:03:29,417 --> 00:03:33,977 Speaker 2: with it. And unfortunately that's enabled, you know, the people 68 00:03:33,977 --> 00:03:36,017 Speaker 2: who pushed all of this to kind of walk away. 69 00:03:36,337 --> 00:03:39,137 Speaker 2: But I do think the one place where we really 70 00:03:39,177 --> 00:03:42,217 Speaker 2: need to keep pressing and and you know, frankly, let's hope, 71 00:03:42,377 --> 00:03:43,977 Speaker 2: and I think that this is sort of the you know, 72 00:03:44,057 --> 00:03:47,097 Speaker 2: much more likely than not there'll be no long term 73 00:03:47,697 --> 00:03:51,257 Speaker 2: major health impacts from the mRNAs. It's just it's just 74 00:03:51,417 --> 00:03:56,217 Speaker 2: over right, Like, barring some sort of catastrophic series of events, 75 00:03:56,457 --> 00:03:59,057 Speaker 2: we're all going to just go on. I mean, I 76 00:03:59,057 --> 00:04:01,177 Speaker 2: mean not me. I didn't get vaccinated with any of them, 77 00:04:01,177 --> 00:04:02,977 Speaker 2: but we're all just going to go on like it 78 00:04:03,057 --> 00:04:05,897 Speaker 2: never happened. But the lab leak really matters, and it 79 00:04:05,937 --> 00:04:08,617 Speaker 2: matters for a couple of reasons. It matters because there 80 00:04:08,617 --> 00:04:12,537 Speaker 2: are three distinct cover right, there's the original cover up 81 00:04:12,777 --> 00:04:16,097 Speaker 2: of the origins of the virus, which you know, I 82 00:04:16,137 --> 00:04:20,097 Speaker 2: think almost to a certainty, came out of a lab 83 00:04:20,137 --> 00:04:23,657 Speaker 2: in Wuhan which was doing experiments to try to make 84 00:04:24,937 --> 00:04:28,777 Speaker 2: coronaviruses more dangerous in an effort to come up with 85 00:04:28,897 --> 00:04:32,857 Speaker 2: better anti virals and vaccines against them. Okay, we can't 86 00:04:32,897 --> 00:04:35,657 Speaker 2: be sure, and we may never be able to be sure, 87 00:04:35,657 --> 00:04:38,177 Speaker 2: but that's cover up number one. Government Number two is 88 00:04:38,857 --> 00:04:41,657 Speaker 2: that that's a Chinese cover up mostly governed. Number two 89 00:04:41,697 --> 00:04:44,537 Speaker 2: is there were a group of Americans who were very 90 00:04:44,537 --> 00:04:48,097 Speaker 2: closely and other Western scientists who were very closely related 91 00:04:48,857 --> 00:04:51,937 Speaker 2: linked to that Chinese lab and had every reason to 92 00:04:51,977 --> 00:04:55,177 Speaker 2: believe that this was what had happened before any of 93 00:04:55,217 --> 00:04:57,097 Speaker 2: the rest of us, because they knew the research better 94 00:04:57,377 --> 00:05:00,657 Speaker 2: and they did everything possible to try to steer the 95 00:05:00,697 --> 00:05:04,457 Speaker 2: investigation and the investigators away from that by saying it 96 00:05:04,497 --> 00:05:08,257 Speaker 2: was racist to even bring it up, by saying by 97 00:05:08,257 --> 00:05:12,217 Speaker 2: coming up with all kinds of you know, BS origin theories, 98 00:05:12,577 --> 00:05:15,297 Speaker 2: and by basically refusing to discuss this. And then there's 99 00:05:15,297 --> 00:05:17,457 Speaker 2: a third cover up, which is the fact that the 100 00:05:17,537 --> 00:05:20,817 Speaker 2: media went along with this. And in the last four years, 101 00:05:20,897 --> 00:05:24,017 Speaker 2: as the evidence has sort of steadily accreted and we've 102 00:05:24,017 --> 00:05:26,657 Speaker 2: seen evidence of that second cover up come out thanks 103 00:05:26,737 --> 00:05:30,897 Speaker 2: to a lot of really diligent civilian detective work. They've 104 00:05:30,897 --> 00:05:33,497 Speaker 2: refused to admit that. So there's three separate things going 105 00:05:33,537 --> 00:05:36,177 Speaker 2: on here. And yeah, maybe we'll never know where COVID 106 00:05:36,217 --> 00:05:38,777 Speaker 2: came from, and maybe we'll never have a definitive answer 107 00:05:38,857 --> 00:05:41,457 Speaker 2: on how safe or dangerous the MR and a's where. 108 00:05:41,457 --> 00:05:45,017 Speaker 2: It's a very very complicated question epidemiologically. But if we 109 00:05:45,137 --> 00:05:47,897 Speaker 2: can't at least have an honest conversation about the fact 110 00:05:47,937 --> 00:05:51,897 Speaker 2: that these people's self interest led them to help the 111 00:05:51,977 --> 00:05:55,737 Speaker 2: Chinese hide the origins of a virus that killed millions 112 00:05:55,737 --> 00:05:57,897 Speaker 2: of people, I don't know where we are as a country. 113 00:05:58,897 --> 00:06:00,977 Speaker 1: What I want to ask you, if you would, for everyone, 114 00:06:01,057 --> 00:06:05,377 Speaker 1: just in short form, based on the best information that 115 00:06:05,417 --> 00:06:07,577 Speaker 1: we have access to today and the research that you've 116 00:06:07,617 --> 00:06:11,577 Speaker 1: done on this issue, give us just the the what 117 00:06:11,777 --> 00:06:15,297 Speaker 1: you know you mentioned those three cover ups. So China, 118 00:06:15,497 --> 00:06:18,257 Speaker 1: it comes out of the lab, then what happens? Then 119 00:06:18,257 --> 00:06:19,617 Speaker 1: what happens? And then what do they say? 120 00:06:21,017 --> 00:06:23,217 Speaker 2: So it comes out the lab, it starts it's you know, 121 00:06:23,257 --> 00:06:26,777 Speaker 2: it starts spreading quickly. There's evidence you know that actually 122 00:06:26,857 --> 00:06:29,417 Speaker 2: in September twenty nineteen, that's when the Chinese might have 123 00:06:29,457 --> 00:06:32,057 Speaker 2: first realized they had a problem, because you know, that's 124 00:06:32,057 --> 00:06:35,417 Speaker 2: when they pulled a lot of their virus sample data 125 00:06:35,777 --> 00:06:39,337 Speaker 2: from an international database. Now, for example, I'm sure that 126 00:06:39,457 --> 00:06:42,817 Speaker 2: data exists somewhere in an NSA database, right because the 127 00:06:42,897 --> 00:06:46,217 Speaker 2: NSA gets access to everything that's ever gone on the Internet. 128 00:06:46,257 --> 00:06:49,217 Speaker 2: So I bet you at somewhere that data exists, but 129 00:06:49,257 --> 00:06:52,697 Speaker 2: it is not available to any civilian. Okay, the Chinese 130 00:06:52,737 --> 00:06:57,817 Speaker 2: pulled it. There's evidence that the Chinese, you know, rapidly 131 00:06:57,897 --> 00:07:02,297 Speaker 2: wanted to change the filters, install higher grades stuff at 132 00:07:02,337 --> 00:07:06,057 Speaker 2: the Luhan lab in the fall of twenty twenty. Okay, 133 00:07:06,577 --> 00:07:09,457 Speaker 2: they don't contain this. It starts to leak in Wuhan. 134 00:07:10,137 --> 00:07:13,777 Speaker 2: Don't know exactly when they realized it couldn't be contained, 135 00:07:13,777 --> 00:07:17,177 Speaker 2: but you know, by by mid January they shut down Wuhan, 136 00:07:18,137 --> 00:07:19,817 Speaker 2: you know, they really, and then they locked down the 137 00:07:19,817 --> 00:07:22,577 Speaker 2: whole country pretty much by then, it's too late, okay. 138 00:07:22,937 --> 00:07:26,017 Speaker 2: And here's here's what I think happened. The people in 139 00:07:26,057 --> 00:07:29,657 Speaker 2: the US who understood the research the best, and that 140 00:07:29,697 --> 00:07:32,577 Speaker 2: would have included Fauci or certainly some of Fauci's deputies, 141 00:07:32,817 --> 00:07:35,977 Speaker 2: were very concerned. They actually thought this was deadly than 142 00:07:36,017 --> 00:07:40,737 Speaker 2: it was okay, because because they knew the kind of 143 00:07:40,817 --> 00:07:44,577 Speaker 2: research that had been proposed and proposed publicly. And this 144 00:07:44,617 --> 00:07:47,057 Speaker 2: is something I wrote about in Unreported Truth less than 145 00:07:47,057 --> 00:07:48,577 Speaker 2: two weeks ago and in a story that got a 146 00:07:48,577 --> 00:07:51,937 Speaker 2: fair bit of attention. Ralph Barrack, who's sort of the 147 00:07:52,017 --> 00:07:55,177 Speaker 2: leading coronavirus researcher in the world. You know this, this 148 00:07:55,257 --> 00:07:58,177 Speaker 2: guy from North Carolina. He's at the University of North Carolina. 149 00:07:58,457 --> 00:08:02,897 Speaker 2: He's an expert at you know, at coronavirus management, let's say, 150 00:08:02,937 --> 00:08:07,897 Speaker 2: at at growing these viruses in the lab, at making 151 00:08:07,937 --> 00:08:12,337 Speaker 2: them more dangerous. He really wanted in the twenty tens, 152 00:08:13,217 --> 00:08:16,137 Speaker 2: he really wanted to find a way to develop a 153 00:08:16,177 --> 00:08:18,977 Speaker 2: pan coronavirus vaccine. That is to say, there are many 154 00:08:19,017 --> 00:08:23,017 Speaker 2: different sub variants or variants of coronavirus. He wanted to 155 00:08:23,217 --> 00:08:25,537 Speaker 2: come up with a vaccine and with anti virals that 156 00:08:25,537 --> 00:08:27,777 Speaker 2: would be able to treat all or most of them. 157 00:08:28,137 --> 00:08:31,297 Speaker 2: And so that is the research that was going on there. 158 00:08:31,497 --> 00:08:35,457 Speaker 2: There were efforts to find dangerous coronaviruses, mainly in caves 159 00:08:35,857 --> 00:08:38,457 Speaker 2: in China, and there was a guy named Peter Dazak 160 00:08:38,497 --> 00:08:40,657 Speaker 2: who was very involved with the Chinese on that part 161 00:08:40,657 --> 00:08:43,497 Speaker 2: of it, and then there were efforts to actually figure 162 00:08:43,537 --> 00:08:47,297 Speaker 2: out how the coronavirus could become most dangerous in an 163 00:08:47,297 --> 00:08:51,737 Speaker 2: effort to build effective vaccines and anti virals, and those 164 00:08:51,937 --> 00:08:54,217 Speaker 2: I think those people and the people who knew what 165 00:08:54,417 --> 00:08:59,017 Speaker 2: research was going on were very scared in January and 166 00:08:59,017 --> 00:09:01,537 Speaker 2: February twenty twenty. And that's one reason in the US 167 00:09:02,057 --> 00:09:05,137 Speaker 2: and you know, and other countries locked down so hard 168 00:09:05,257 --> 00:09:06,137 Speaker 2: and so fast. 169 00:09:06,417 --> 00:09:09,177 Speaker 1: I feel like, wait one sec. Just that's such a 170 00:09:09,177 --> 00:09:12,337 Speaker 1: critical distinction. Because people would go on the air during 171 00:09:12,337 --> 00:09:13,817 Speaker 1: the pandemic and they would talk about this as a 172 00:09:13,897 --> 00:09:18,257 Speaker 1: bio weapon, and I was always like, well, like, it's 173 00:09:18,457 --> 00:09:21,977 Speaker 1: really finding it to they were messing with the super 174 00:09:22,057 --> 00:09:24,737 Speaker 1: dangerous stuff so that they could figure out ways to 175 00:09:24,817 --> 00:09:26,977 Speaker 1: cure It's not because the way that was framed, it 176 00:09:27,017 --> 00:09:29,577 Speaker 1: always sounded to me like this isn't like the Chinese said, 177 00:09:29,657 --> 00:09:32,137 Speaker 1: let's come up with the most dangerous virus imaginable to 178 00:09:32,217 --> 00:09:34,577 Speaker 1: kill the most people imaginable, and that got out right. 179 00:09:34,617 --> 00:09:37,777 Speaker 1: They were studying dangerous viruses with the idea that they 180 00:09:37,777 --> 00:09:40,417 Speaker 1: could figure out. So I mean, I mean, would you 181 00:09:40,457 --> 00:09:42,217 Speaker 1: call it a bio weapon or is. 182 00:09:42,257 --> 00:09:45,257 Speaker 2: Like I would not call it a bio weapon, but 183 00:09:45,297 --> 00:09:47,817 Speaker 2: I would say it was an engineered virus from what 184 00:09:47,897 --> 00:09:51,337 Speaker 2: we know. Okay, here's the thing about coronavirus is very interesting. 185 00:09:51,417 --> 00:09:55,337 Speaker 2: Before two thousand and three, before SARS, which the original SARS, 186 00:09:56,297 --> 00:09:58,977 Speaker 2: the barologists kind of you, coronaviruses is something close to 187 00:09:59,017 --> 00:10:01,777 Speaker 2: a joke. Okay, there were no coronaviruses that did much 188 00:10:01,817 --> 00:10:05,097 Speaker 2: more than and cause common colds in people. Then Stars 189 00:10:05,177 --> 00:10:07,417 Speaker 2: came along. Wasn't that transmissible, but it had a ten 190 00:10:07,457 --> 00:10:11,777 Speaker 2: percent fatality rate. And in twenty thirteen, coronavirus named Mirrors 191 00:10:11,857 --> 00:10:14,777 Speaker 2: came along, and that really wasn't transmissible, but it had 192 00:10:14,817 --> 00:10:17,137 Speaker 2: a fifty percent fatality rate. I mean, which is you know, 193 00:10:17,257 --> 00:10:20,177 Speaker 2: that's a bowl. Uh, that's you know, that's smallpox. That's 194 00:10:20,217 --> 00:10:21,977 Speaker 2: a that's a bad. That's a bad. 195 00:10:22,697 --> 00:10:25,097 Speaker 1: That's like a civilization ender. That's a big deal. 196 00:10:26,017 --> 00:10:29,257 Speaker 2: That's right, Except you couldn't really spread it except you know, 197 00:10:29,337 --> 00:10:31,137 Speaker 2: I mean you had to be like in a hospital 198 00:10:31,177 --> 00:10:34,217 Speaker 2: breathing on a nurse for six hours straight. I'm exaggerating 199 00:10:34,257 --> 00:10:37,017 Speaker 2: only slightly. It really didn't spread very fast. But guys 200 00:10:37,097 --> 00:10:39,217 Speaker 2: like Barrack, I mean when I say guys like Bark, 201 00:10:39,297 --> 00:10:41,857 Speaker 2: I mean mainly Barrick himself and a handful of other 202 00:10:41,897 --> 00:10:45,017 Speaker 2: people who were experts on coronavirus said, look, this is 203 00:10:45,017 --> 00:10:48,057 Speaker 2: what we're talking about. This is really dangerous. You have 204 00:10:48,137 --> 00:10:50,697 Speaker 2: to let us research this so that we can get 205 00:10:50,697 --> 00:10:53,177 Speaker 2: out in front of the next one of these. Okay, 206 00:10:53,537 --> 00:10:55,857 Speaker 2: And and I'm not making this up. This is all. 207 00:10:56,017 --> 00:10:58,617 Speaker 2: This was all publicly discussed, and there were fights about 208 00:10:58,657 --> 00:11:00,497 Speaker 2: it because there were people on the other side who said, 209 00:11:00,577 --> 00:11:02,657 Speaker 2: this is a really bad idea. We do not want 210 00:11:02,697 --> 00:11:05,417 Speaker 2: to do gain of function research here. The risks outweigh 211 00:11:05,417 --> 00:11:09,177 Speaker 2: the rewards. Okay. But but in the end, the virologists 212 00:11:09,217 --> 00:11:11,537 Speaker 2: and you know, both in the US and in China 213 00:11:12,057 --> 00:11:14,297 Speaker 2: kind of pushed ahead on this, and then particularly in China, 214 00:11:14,337 --> 00:11:17,377 Speaker 2: they pushed a head on it. And so, okay, twenty nineteen, 215 00:11:17,737 --> 00:11:21,457 Speaker 2: this thing starts to leak twenty twenty. It's uncontained, and 216 00:11:23,057 --> 00:11:25,817 Speaker 2: there are clues from the outset that it is probably 217 00:11:25,817 --> 00:11:27,817 Speaker 2: an engineered virus. There's this thing called the fer and 218 00:11:27,897 --> 00:11:32,697 Speaker 2: cleavage site, which basically doesn't really exist in natural coronaviruses, 219 00:11:32,937 --> 00:11:36,377 Speaker 2: and there's other evidence. Okay, And what does Fauci do, 220 00:11:36,977 --> 00:11:40,337 Speaker 2: What does Ralph Barrack do, What does Peter Dazac do 221 00:11:41,057 --> 00:11:43,977 Speaker 2: what doll basically all the leading viologists do. They say, 222 00:11:44,217 --> 00:11:48,617 Speaker 2: if you want to, if you want to investigate this 223 00:11:48,737 --> 00:11:51,977 Speaker 2: as a as a virus that leaked, you are racist, 224 00:11:52,537 --> 00:11:55,377 Speaker 2: You are hurting our relationship with the Chinese. You are 225 00:11:55,417 --> 00:11:58,457 Speaker 2: hurting science. This is a natural virus. We're gonna figure 226 00:11:58,457 --> 00:12:00,697 Speaker 2: out where it came from, just like we did with 227 00:12:00,817 --> 00:12:05,297 Speaker 2: the original stars, and you are wrong. Don't do this. 228 00:12:05,457 --> 00:12:09,137 Speaker 2: And for over a year they essentially make it impossible 229 00:12:09,257 --> 00:12:12,617 Speaker 2: either really for the US government or for you know, 230 00:12:12,777 --> 00:12:15,737 Speaker 2: or for major news organizations, or for anybody to say, 231 00:12:15,817 --> 00:12:18,177 Speaker 2: let's have a you know this, this is kind of weird, guys, 232 00:12:18,217 --> 00:12:21,777 Speaker 2: let's let's talk about this. And by the time listen, 233 00:12:21,777 --> 00:12:24,857 Speaker 2: the Chinese probably would never have and will never admit 234 00:12:24,937 --> 00:12:29,017 Speaker 2: anything anyway. But by the time that sort of that 235 00:12:29,097 --> 00:12:33,257 Speaker 2: diversionary tactic was seen through and broken, it was mid 236 00:12:33,297 --> 00:12:35,417 Speaker 2: twenty twenty one, and it was really too late. 237 00:12:36,297 --> 00:12:37,697 Speaker 1: All right, ox I gotta take a moment for our 238 00:12:37,697 --> 00:12:40,857 Speaker 1: sponsor here, will keep going on the what comes next 239 00:12:40,937 --> 00:12:44,537 Speaker 1: part of your investigative journey here to try to take this, 240 00:12:45,057 --> 00:12:47,937 Speaker 1: you know, take this all the way and figure out 241 00:12:47,977 --> 00:12:49,817 Speaker 1: all the missing pieces. But first up. You know, more 242 00:12:49,857 --> 00:12:52,897 Speaker 1: Americans are buying gold now than at any time previously. 243 00:12:52,937 --> 00:12:55,977 Speaker 1: Gold is up in value, up thirteen percent this year, 244 00:12:56,017 --> 00:12:58,857 Speaker 1: and a Gallup poll has shown that purchasing gold is 245 00:12:58,897 --> 00:13:02,017 Speaker 1: often a better long term investment than stocks and bonds. 246 00:13:02,057 --> 00:13:05,097 Speaker 1: Price and value of gold is directly connected to world events, 247 00:13:05,257 --> 00:13:07,737 Speaker 1: and over time it has been a store of value. 248 00:13:07,937 --> 00:13:09,897 Speaker 1: So that's why I recommend you check out the ox 249 00:13:10,177 --> 00:13:12,737 Speaker 1: Gold Group. I rely on the Oxford Gold Group for 250 00:13:12,817 --> 00:13:15,817 Speaker 1: my gold and precious metal purchases. Nobody can predict the future, 251 00:13:15,857 --> 00:13:18,617 Speaker 1: but we can take action to prepare for it. The 252 00:13:18,617 --> 00:13:20,497 Speaker 1: Oxford Gold Group are real pros when it comes to 253 00:13:20,537 --> 00:13:23,777 Speaker 1: buying precious precious metals like gold and silver, and they 254 00:13:23,777 --> 00:13:25,737 Speaker 1: make it easy for you. It's who I go to 255 00:13:25,817 --> 00:13:27,697 Speaker 1: for my gold and silver, which I keep here in 256 00:13:27,737 --> 00:13:30,697 Speaker 1: my safe Oxford Gold Group. Give them a call. Eight 257 00:13:30,777 --> 00:13:33,617 Speaker 1: three three nine nine five gold. That's eight three three 258 00:13:33,777 --> 00:13:38,777 Speaker 1: nine nine five g O l D Okay. So what 259 00:13:38,777 --> 00:13:41,417 Speaker 1: what do you know? So we're finding out more about 260 00:13:41,417 --> 00:13:43,617 Speaker 1: the cover up the lablake. All this stuff were years 261 00:13:43,617 --> 00:13:45,577 Speaker 1: into this now. I know a lot of people have 262 00:13:45,617 --> 00:13:50,177 Speaker 1: moved on, but what remains to be either found out 263 00:13:50,377 --> 00:13:52,177 Speaker 1: or you know, what what are the areas of this 264 00:13:52,257 --> 00:13:54,257 Speaker 1: that you want to take the investigation next? 265 00:13:55,297 --> 00:13:57,857 Speaker 2: Well, so, I mean, I think, yes, a lot of 266 00:13:57,897 --> 00:13:59,937 Speaker 2: people have moved around. I do think it's important because 267 00:13:59,977 --> 00:14:02,177 Speaker 2: you are talking about Tony Fauci, You're talking about the 268 00:14:02,297 --> 00:14:06,177 Speaker 2: very you know, top scientists in the US establishment. It's 269 00:14:06,177 --> 00:14:10,177 Speaker 2: important to know if there's evidence that they were real 270 00:14:10,337 --> 00:14:14,977 Speaker 2: talking internally about the likelihood that this was, that this 271 00:14:15,017 --> 00:14:16,977 Speaker 2: did come out of a lab, what they might have 272 00:14:17,017 --> 00:14:21,857 Speaker 2: been talking about the Chinese about. And you know, there 273 00:14:21,897 --> 00:14:24,417 Speaker 2: are some Republicans in Congress who are who are continuing 274 00:14:24,457 --> 00:14:26,697 Speaker 2: to push this Rand Paul has not let this go. 275 00:14:27,537 --> 00:14:30,177 Speaker 2: There are some uh, there are some people on the 276 00:14:30,217 --> 00:14:32,457 Speaker 2: House side who are not letting this go. They're gonna 277 00:14:32,457 --> 00:14:35,857 Speaker 2: be hearings in May. Peter Dazak is going to testify 278 00:14:35,937 --> 00:14:42,417 Speaker 2: under oath. I just I think, look again, unless unless 279 00:14:42,457 --> 00:14:45,497 Speaker 2: somebody from the Chinese side defects or comes out, and 280 00:14:45,537 --> 00:14:48,617 Speaker 2: it's very hard to imagine that happening, we may never 281 00:14:49,337 --> 00:14:51,737 Speaker 2: you know, we may never have a definitive answer to 282 00:14:51,817 --> 00:14:55,377 Speaker 2: what happened in twenty nineteen that likely caused this virus 283 00:14:55,417 --> 00:14:58,097 Speaker 2: to be you know, to to leak. 284 00:14:58,337 --> 00:15:02,337 Speaker 1: I got what happened all the variants. Remember there was 285 00:15:02,337 --> 00:15:04,097 Speaker 1: like a variant every six months, and got to be 286 00:15:04,097 --> 00:15:06,257 Speaker 1: scared of the variants. Where are all the variants? 287 00:15:07,057 --> 00:15:09,857 Speaker 2: So here here's an interesting point, right, So in twenty 288 00:15:09,857 --> 00:15:14,577 Speaker 2: two the virus did very little mutating. Okay, and coronavirus 289 00:15:14,657 --> 00:15:16,817 Speaker 2: is historically mutat quite fast. Well, why did you do 290 00:15:16,897 --> 00:15:19,497 Speaker 2: very little mutating because it was so perfectly adapted to 291 00:15:19,577 --> 00:15:24,737 Speaker 2: human beings when it came out. Why because it because 292 00:15:24,777 --> 00:15:27,497 Speaker 2: it had been passaged through a lab where it had 293 00:15:27,537 --> 00:15:31,257 Speaker 2: been manipulated in a lab to be very well adapted 294 00:15:31,257 --> 00:15:33,697 Speaker 2: to human beings. Okay, then what happens. Then we do 295 00:15:33,777 --> 00:15:38,817 Speaker 2: this massive vaccine campaign with this very very potent vaccine 296 00:15:38,977 --> 00:15:41,937 Speaker 2: that's targeted directly at the spike, and guess what happens 297 00:15:42,017 --> 00:15:45,857 Speaker 2: over the next eighteen months from twenty twenty two, well 298 00:15:45,897 --> 00:15:48,777 Speaker 2: twenty twenty one into late twenty twenty two, there's a 299 00:15:48,817 --> 00:15:53,297 Speaker 2: ton of mutations in this thing, including delta than omicron. 300 00:15:53,657 --> 00:15:56,497 Speaker 2: Guess what in the last twelve months, there's been much 301 00:15:56,577 --> 00:16:01,057 Speaker 2: less vaccination and there's been much less mutation. So probably 302 00:16:01,417 --> 00:16:04,937 Speaker 2: the virus has done really what it always quote unquote 303 00:16:04,937 --> 00:16:07,577 Speaker 2: wanted to do. It's come to a place where it's 304 00:16:07,937 --> 00:16:11,977 Speaker 2: more transmissible, less via. We don't have a vaccine, you know, 305 00:16:11,977 --> 00:16:14,577 Speaker 2: people aren't getting vaccinated constantly, so there's not a lot 306 00:16:14,577 --> 00:16:18,497 Speaker 2: of evolutionary pressure on it to beat the vaccination. And 307 00:16:18,537 --> 00:16:22,297 Speaker 2: we're done. We're where we would have been. Buck if 308 00:16:22,737 --> 00:16:25,697 Speaker 2: let's say, let's go back to twenty twenty, and let's 309 00:16:25,697 --> 00:16:29,737 Speaker 2: say there hadn't been hysteria, and you know, we done, 310 00:16:29,937 --> 00:16:32,297 Speaker 2: we'd done some reason, you know, we tried to protect 311 00:16:32,297 --> 00:16:36,337 Speaker 2: the nursing homes. We'd all live like Florida. Okay, probably 312 00:16:36,817 --> 00:16:40,417 Speaker 2: we'd be back. We'd be right where we are right now. 313 00:16:40,657 --> 00:16:44,857 Speaker 2: We'd have a less transmissible or less virulent, more transmissible variant, 314 00:16:45,017 --> 00:16:46,897 Speaker 2: and we'd all be on with our lives just like 315 00:16:46,937 --> 00:16:47,337 Speaker 2: we are. 316 00:16:47,937 --> 00:16:50,497 Speaker 1: I view this whole thing now, not only through the 317 00:16:50,537 --> 00:16:53,137 Speaker 1: lens of they were wrong about everything, and they were 318 00:16:53,137 --> 00:16:55,657 Speaker 1: horrible while they're wrong about everything. You know, Alex, I 319 00:16:55,737 --> 00:16:57,977 Speaker 1: was in Miami International Airport coming back from a weekend 320 00:16:57,977 --> 00:17:01,217 Speaker 1: away with my wife. They still have mask up everywhere, 321 00:17:02,817 --> 00:17:07,297 Speaker 1: you know, signs, which is I know everyone ignores it. 322 00:17:07,377 --> 00:17:10,337 Speaker 1: I understand that there's this sense like it's not a 323 00:17:10,337 --> 00:17:13,057 Speaker 1: big deal anymore, except I think it's a huge deal. 324 00:17:13,337 --> 00:17:15,657 Speaker 1: Like May maybe I'm crazy. I sit here, I'm like, 325 00:17:15,697 --> 00:17:19,337 Speaker 1: these maniacs were completely wrong about everything. I mean everything, 326 00:17:19,537 --> 00:17:20,057 Speaker 1: the whole thing. 327 00:17:20,097 --> 00:17:20,817 Speaker 2: The whole thing was. 328 00:17:21,017 --> 00:17:23,777 Speaker 1: It was top to bottom wrong. Wrong about the school closures, 329 00:17:23,817 --> 00:17:27,257 Speaker 1: wrong about lockdowns, wrong about masks, wrong about the vaccine 330 00:17:27,337 --> 00:17:32,057 Speaker 1: efficacy and stopping transmission. They were wrong across the board. 331 00:17:32,577 --> 00:17:35,337 Speaker 1: And I don't understand. I mean, Rand Paul, whom my 332 00:17:35,617 --> 00:17:37,297 Speaker 1: radio audience knows this, I love if I could just 333 00:17:37,537 --> 00:17:39,537 Speaker 1: like make someone a president, like if I just sort 334 00:17:39,577 --> 00:17:41,737 Speaker 1: of go poof, like he'll never win. And I know that, 335 00:17:41,817 --> 00:17:43,457 Speaker 1: so you know, you need someone like Trump who can 336 00:17:43,497 --> 00:17:45,697 Speaker 1: actually fight the machine. But if I could just put 337 00:17:45,737 --> 00:17:47,257 Speaker 1: someone off, as I think Rand Paul wild actually be 338 00:17:47,257 --> 00:17:49,417 Speaker 1: a phenomenal president on a number of levels. He cares. 339 00:17:49,777 --> 00:17:51,977 Speaker 1: Very few other people, though, seem to be focused in 340 00:17:52,057 --> 00:17:53,737 Speaker 1: on this, and I sit here and I'm like, this 341 00:17:53,937 --> 00:17:56,537 Speaker 1: was I feel like we failed, or rather the system 342 00:17:56,577 --> 00:17:59,657 Speaker 1: failed at every level and there's no changes made whatsoever 343 00:17:59,737 --> 00:18:01,497 Speaker 1: except the system is ready to do it again. Is 344 00:18:01,497 --> 00:18:02,577 Speaker 1: that too pessimistic? 345 00:18:04,057 --> 00:18:08,177 Speaker 2: I think? Unfortunately, that's about right. And that's why again, 346 00:18:08,297 --> 00:18:10,697 Speaker 2: like I can't fight over all of it. You know, 347 00:18:10,977 --> 00:18:14,417 Speaker 2: my audience underported truths they're pretty they like to read 348 00:18:14,457 --> 00:18:19,017 Speaker 2: about this stuff, but I need to. My feeling is, 349 00:18:19,697 --> 00:18:23,937 Speaker 2: let's at least try to get some accountability for the 350 00:18:24,057 --> 00:18:27,097 Speaker 2: fact that the people who knew the most about this 351 00:18:27,497 --> 00:18:30,417 Speaker 2: almost certainly lied about it in twenty twenty. If we 352 00:18:30,457 --> 00:18:34,017 Speaker 2: can't forget, we're never gonna get anybody to admit that 353 00:18:34,057 --> 00:18:37,977 Speaker 2: the MR ANDAs didn't really work very well. School closures again, 354 00:18:38,057 --> 00:18:40,857 Speaker 2: they the only thing where will admit that they made 355 00:18:40,897 --> 00:18:44,897 Speaker 2: some mistakes. I think lockdowns people on the left won't 356 00:18:44,937 --> 00:18:46,897 Speaker 2: really admit that they shouldn't have locked down. But you 357 00:18:46,977 --> 00:18:49,417 Speaker 2: notice no one ever talks about lockdowns as a future 358 00:18:49,457 --> 00:18:51,617 Speaker 2: strategy anymore. So I think there's a little bit of 359 00:18:52,497 --> 00:18:58,057 Speaker 2: a realization there. But the lab leak, maybe maybe Peter Dazac, 360 00:18:58,577 --> 00:19:00,817 Speaker 2: maybe Ralph Bark, Maybe we can at least get these 361 00:19:00,857 --> 00:19:04,377 Speaker 2: guys to testify under oath and admit what they knew. 362 00:19:04,417 --> 00:19:06,737 Speaker 2: If we can't do that, then you're right. Then we're 363 00:19:06,777 --> 00:19:10,737 Speaker 2: just sitting here waiting for the next, you know, medium 364 00:19:10,817 --> 00:19:13,457 Speaker 2: strength virus to come along so that they so that 365 00:19:13,497 --> 00:19:15,777 Speaker 2: the world, these all these people can play this game. 366 00:19:15,857 --> 00:19:18,897 Speaker 1: Yet again, I want to ask you now, I'm gonna 367 00:19:18,897 --> 00:19:21,217 Speaker 1: switch gears because you know, you were the guy on 368 00:19:21,257 --> 00:19:23,697 Speaker 1: all this stuff, and some of us very much appreciated 369 00:19:23,697 --> 00:19:24,337 Speaker 1: the work that you did. 370 00:19:24,417 --> 00:19:24,497 Speaker 2: Then. 371 00:19:24,537 --> 00:19:27,697 Speaker 1: I mean I was I was getting I think I 372 00:19:27,817 --> 00:19:32,577 Speaker 1: got more rage both in person from people shouting at me, 373 00:19:32,777 --> 00:19:36,297 Speaker 1: like random strangers for being unmasked and things like that, 374 00:19:36,337 --> 00:19:38,497 Speaker 1: because I just utterly, I mean, unless I was going 375 00:19:38,537 --> 00:19:40,577 Speaker 1: to get arrested or like barred from the premises, I 376 00:19:40,657 --> 00:19:42,617 Speaker 1: just refused to do it as much as that possibly could. 377 00:19:44,017 --> 00:19:49,817 Speaker 1: But also online people were absolutely sadistic maniacs about the 378 00:19:49,857 --> 00:19:53,337 Speaker 1: whole thing, and I think I got more of it 379 00:19:53,697 --> 00:19:55,577 Speaker 1: from them on the COVID stuff anything else. So some 380 00:19:55,577 --> 00:19:57,457 Speaker 1: of us very much appreciated while that was going on 381 00:19:57,537 --> 00:20:00,617 Speaker 1: that you know, you were out there taking you know, 382 00:20:00,657 --> 00:20:02,377 Speaker 1: you kind of look like Leonidas at the end of 383 00:20:02,417 --> 00:20:05,657 Speaker 1: three hundred, where he's just like just arrow sticking out 384 00:20:05,697 --> 00:20:05,937 Speaker 1: of him. 385 00:20:06,977 --> 00:20:10,937 Speaker 2: Get to my hair, I must apologize need a haircut, 386 00:20:11,217 --> 00:20:13,377 Speaker 2: but but you you were, you were covered in all 387 00:20:13,417 --> 00:20:13,977 Speaker 2: those arrows. 388 00:20:14,017 --> 00:20:16,857 Speaker 1: I do wonder, even if it was privately, you know 389 00:20:16,897 --> 00:20:19,697 Speaker 1: and quietly, did anyone ever come up to you and say, 390 00:20:20,937 --> 00:20:25,057 Speaker 1: man from the left specifically, man, I was I was 391 00:20:25,097 --> 00:20:28,617 Speaker 1: a horrible I was a horrible you know, d bag 392 00:20:29,257 --> 00:20:31,697 Speaker 1: and you were right. No what literally, no one, not 393 00:20:31,737 --> 00:20:32,897 Speaker 1: a single person. 394 00:20:33,217 --> 00:20:36,377 Speaker 2: Not a single perton one person in the last two 395 00:20:36,457 --> 00:20:38,657 Speaker 2: years has said you were right about the lockdown. So 396 00:20:38,737 --> 00:20:40,897 Speaker 2: this is just like somebody in my town and I 397 00:20:40,897 --> 00:20:44,617 Speaker 2: actually wrote about that. Uh and and and somebody I 398 00:20:44,697 --> 00:20:47,097 Speaker 2: know who is sort of a journalist of some note 399 00:20:47,777 --> 00:20:51,337 Speaker 2: said to me privately, uh, but this was in the 400 00:20:51,377 --> 00:20:54,097 Speaker 2: context of you're wrong about the vaccines. It was that 401 00:20:54,297 --> 00:20:56,497 Speaker 2: it was sort of like, well, it looks like you 402 00:20:56,497 --> 00:20:59,377 Speaker 2: were pretty right about some of the twenty twenty stuff. 403 00:20:59,417 --> 00:21:04,177 Speaker 2: But uh but but never said that publicly and so 404 00:21:04,497 --> 00:21:11,097 Speaker 2: uh So the answer is no, answers, Yeah, answer is no. 405 00:21:11,337 --> 00:21:11,937 Speaker 1: Yeah, answers. 406 00:21:11,977 --> 00:21:12,057 Speaker 2: No. 407 00:21:12,097 --> 00:21:14,017 Speaker 1: Well, there we have it. Before we we're gonna switch gears, 408 00:21:14,017 --> 00:21:17,697 Speaker 1: because you actually have really interesting insight on something that's 409 00:21:17,777 --> 00:21:20,537 Speaker 1: not directly in your usual barons in field of view, 410 00:21:20,577 --> 00:21:22,657 Speaker 1: but the Trump trial situation New York City, which is 411 00:21:22,897 --> 00:21:24,857 Speaker 1: obviously big in the headlines this week. I wanted you 412 00:21:24,857 --> 00:21:28,697 Speaker 1: to take take some of that on because even for people, 413 00:21:28,777 --> 00:21:30,297 Speaker 1: what I like is when there are people that are 414 00:21:30,297 --> 00:21:33,857 Speaker 1: analyzing the legal stuff and they will say I you know, 415 00:21:33,857 --> 00:21:35,817 Speaker 1: they'll even say, look like I'm not a Trump person, 416 00:21:36,017 --> 00:21:38,017 Speaker 1: or maybe you know I have my concerns, but that 417 00:21:38,097 --> 00:21:43,297 Speaker 1: this case is the absolute dumbest, most unjust nonsense abuse possible. 418 00:21:43,337 --> 00:21:45,177 Speaker 1: So we're gonna we're gonna talk about the New York 419 00:21:45,177 --> 00:21:47,217 Speaker 1: trial in a second. But you know, with this podcast, 420 00:21:47,217 --> 00:21:49,577 Speaker 1: we're all about having deep conversations on things that impact 421 00:21:49,657 --> 00:21:51,017 Speaker 1: us the world we live, and we're just talking about 422 00:21:51,017 --> 00:21:53,577 Speaker 1: COVID and lockdowns. But when it comes to stock market, 423 00:21:53,617 --> 00:21:56,777 Speaker 1: that's what columnist Mark Chakin does in his coverage of 424 00:21:56,857 --> 00:21:59,017 Speaker 1: where the markets are going and what's going to be happening. 425 00:21:59,297 --> 00:22:01,257 Speaker 1: Mark worked on Wall Street for fifty years, and his 426 00:22:01,337 --> 00:22:03,697 Speaker 1: time on the street, he invented three new industries for 427 00:22:03,737 --> 00:22:05,817 Speaker 1: the NASDAK and has predicted some of the biggest market 428 00:22:05,817 --> 00:22:08,857 Speaker 1: ships of the past decade, including the recent focus in 429 00:22:08,937 --> 00:22:11,857 Speaker 1: AI stocks. Mark is saying there's a new dawn for 430 00:22:11,977 --> 00:22:14,617 Speaker 1: US stocks ahead and he predicts dozens of specific companies 431 00:22:14,657 --> 00:22:16,577 Speaker 1: will be impacted in just next in just the next 432 00:22:16,697 --> 00:22:19,137 Speaker 1: ninety days time. So Marc has agreed to share one 433 00:22:19,137 --> 00:22:22,097 Speaker 1: of his favorite AI stocks to buy now with listeners 434 00:22:22,137 --> 00:22:24,697 Speaker 1: to this show, Let's put it all together in presentation 435 00:22:24,897 --> 00:22:28,697 Speaker 1: at twenty twenty four aistock dot com. That's twenty twenty 436 00:22:28,697 --> 00:22:33,777 Speaker 1: four aistock dot Com paid for by Shaking Analytics Alex. 437 00:22:34,137 --> 00:22:37,937 Speaker 1: The situation of the trial in New York City. Take 438 00:22:37,977 --> 00:22:40,617 Speaker 1: me through what you think is most absurd about it? 439 00:22:41,377 --> 00:22:46,497 Speaker 2: Well, I mean, it's it's all absurd. Okay, it's a 440 00:22:46,697 --> 00:22:49,817 Speaker 2: it's business. It's think about what the underlying charges are. 441 00:22:49,857 --> 00:22:51,457 Speaker 2: And I think, you know, you need to look at 442 00:22:51,497 --> 00:22:53,817 Speaker 2: this in the context also of the civil case, where 443 00:22:53,857 --> 00:22:57,497 Speaker 2: the media. There's the media. There's what the media is 444 00:22:57,537 --> 00:23:01,617 Speaker 2: saying about the two cases. There's what's actually happening in 445 00:23:01,657 --> 00:23:04,337 Speaker 2: the two cases, and then there's like, try to think, 446 00:23:04,737 --> 00:23:07,257 Speaker 2: in the broadest point of view, what is the crime here. 447 00:23:07,857 --> 00:23:11,377 Speaker 2: So so, in the civil case, which just concluded, Donald 448 00:23:11,377 --> 00:23:15,617 Speaker 2: Trump faces you know, a half billion dollar penalty and 449 00:23:15,657 --> 00:23:18,817 Speaker 2: the it's not a crime because it's a civil case. 450 00:23:18,977 --> 00:23:21,617 Speaker 2: But the infraction that he is alleged to have committed 451 00:23:22,577 --> 00:23:26,417 Speaker 2: was lying to banks about the value of assets on loans. Okay. 452 00:23:26,777 --> 00:23:29,817 Speaker 2: The thing is the banks do their own independent analysis 453 00:23:29,857 --> 00:23:33,377 Speaker 2: of those loans. Much but more importantly than that, no 454 00:23:33,457 --> 00:23:37,257 Speaker 2: one disputes that Donald Trump paid back every time with 455 00:23:37,457 --> 00:23:41,977 Speaker 2: interest at the agreed to interest rate that that the 456 00:23:42,017 --> 00:23:45,177 Speaker 2: bank loaned him. Okay, So the fraud if there was 457 00:23:45,337 --> 00:23:51,377 Speaker 2: fraud had no effect. Okay. So so it's as if 458 00:23:51,457 --> 00:23:54,817 Speaker 2: like the analogy I use was, you go and make 459 00:23:54,857 --> 00:23:57,417 Speaker 2: a deal with the contractor and you say the contractor, 460 00:23:57,457 --> 00:24:00,137 Speaker 2: I can pay you upfront, or I'm gonna pay you 461 00:24:00,137 --> 00:24:01,497 Speaker 2: next week. I got all the money in my bank 462 00:24:01,537 --> 00:24:04,377 Speaker 2: account right now, I can pay you next week. And 463 00:24:04,457 --> 00:24:06,857 Speaker 2: you're lying when you say that. Okay, you don't have 464 00:24:06,897 --> 00:24:08,457 Speaker 2: the money, but you're gonna get it in a week, 465 00:24:08,537 --> 00:24:10,537 Speaker 2: and you don't want the contractor to, you know, go 466 00:24:10,657 --> 00:24:12,257 Speaker 2: to somebody else's house. You want to do the work 467 00:24:12,337 --> 00:24:14,377 Speaker 2: right now. So he does the work, the money that 468 00:24:14,417 --> 00:24:17,137 Speaker 2: you expected to come in does come in, You do 469 00:24:17,217 --> 00:24:20,617 Speaker 2: pay him, he is satisfied, and then for some reason 470 00:24:21,297 --> 00:24:24,457 Speaker 2: the New York State finds out that you didn't have 471 00:24:24,537 --> 00:24:26,617 Speaker 2: the money at the time when you said you did, 472 00:24:26,657 --> 00:24:28,977 Speaker 2: even though you got it later, and they say you 473 00:24:29,057 --> 00:24:32,337 Speaker 2: committed fraud and they take your house. Okay, that's the 474 00:24:32,377 --> 00:24:37,377 Speaker 2: civil case that's last, or the February insanity. Okay, this 475 00:24:37,457 --> 00:24:39,457 Speaker 2: is a criminal case. So the stakes are even higher. 476 00:24:39,497 --> 00:24:41,617 Speaker 2: Donald Trump could go to jail. And what is Donald 477 00:24:41,657 --> 00:24:45,617 Speaker 2: Trump alleged to have done? Okay, the case gets reported 478 00:24:46,057 --> 00:24:49,137 Speaker 2: as it's about hush money. It's about paying back Stormy 479 00:24:49,217 --> 00:24:53,817 Speaker 2: Daniels or paying off Stormy Daniels. But it's not actually 480 00:24:53,857 --> 00:24:57,137 Speaker 2: about that when you read the indictment. What it's about 481 00:24:57,497 --> 00:25:01,097 Speaker 2: is that Donald Trump didn't pay Stormy Daniels directly. He 482 00:25:01,137 --> 00:25:04,777 Speaker 2: paid Michael Cohen and or I'm sorry, Michael Cohen, his 483 00:25:04,937 --> 00:25:08,057 Speaker 2: lawyer paid her off, okay, for what was effectively an 484 00:25:08,097 --> 00:25:10,537 Speaker 2: extortion attempt. 485 00:25:10,537 --> 00:25:13,177 Speaker 1: But put that a difference off in between hush money 486 00:25:13,177 --> 00:25:14,097 Speaker 1: and extortion cases. 487 00:25:14,097 --> 00:25:15,937 Speaker 2: I wonder, well, the difference is if you have a 488 00:25:15,977 --> 00:25:21,497 Speaker 2: smart lawyer who who doesn't make any specific threats. I mean, really, 489 00:25:21,537 --> 00:25:23,457 Speaker 2: that's the difference. By the way, I don't think extortion 490 00:25:23,457 --> 00:25:25,617 Speaker 2: should be a crime. I think extortion is something rich 491 00:25:25,657 --> 00:25:27,737 Speaker 2: people use when poor people try to get money from 492 00:25:27,777 --> 00:25:30,417 Speaker 2: them and aren't smart enough to have lawyers involved. But 493 00:25:30,897 --> 00:25:34,057 Speaker 2: to the extent that extortion is a crime, this was 494 00:25:34,297 --> 00:25:38,097 Speaker 2: This was extortion, okay, even though again Stormy Daniels danced 495 00:25:38,097 --> 00:25:41,217 Speaker 2: through the rain drops by you know, she was selling 496 00:25:41,217 --> 00:25:44,497 Speaker 2: her story, she didn't put a number on there. Whatever, 497 00:25:44,657 --> 00:25:47,457 Speaker 2: she she didn't get charged. So so in the eyes 498 00:25:47,497 --> 00:25:50,817 Speaker 2: of the lass, she's cleaning. So Michael Cohen pays her off, okay, 499 00:25:51,097 --> 00:25:54,977 Speaker 2: That is not the conduct at issue in this case, 500 00:25:55,337 --> 00:25:58,857 Speaker 2: even though the State of New York is focusing on it. 501 00:25:59,217 --> 00:26:02,857 Speaker 2: The conduct at issue in the indictment is that Donald 502 00:26:02,897 --> 00:26:08,857 Speaker 2: Trump or the Trump organization then paid Michael Cohen. Okay, 503 00:26:09,097 --> 00:26:11,057 Speaker 2: and they didn't actually pay them hundred and thirty thousand dollars. 504 00:26:11,057 --> 00:26:13,937 Speaker 2: They paid him four hundred twenty thousand dollars. Why because 505 00:26:13,977 --> 00:26:16,337 Speaker 2: they wanted him to be able to pay the taxes 506 00:26:16,457 --> 00:26:18,057 Speaker 2: on the one hundred and thirty and he wanted to 507 00:26:18,057 --> 00:26:20,817 Speaker 2: be paid in salary, not as a reimbursement. And then 508 00:26:20,857 --> 00:26:23,697 Speaker 2: they threw in some other money. So already it's complicated. 509 00:26:23,777 --> 00:26:27,017 Speaker 2: It's not. There's not quite a direct line from the 510 00:26:27,017 --> 00:26:31,337 Speaker 2: payment Cohen made to the Stormy Daniels to the money 511 00:26:31,337 --> 00:26:34,737 Speaker 2: he got from Trump. Okay, but let's just look at that, okay. 512 00:26:34,897 --> 00:26:38,777 Speaker 2: The crime, the crime that Donald Trump is being charged 513 00:26:38,777 --> 00:26:43,857 Speaker 2: with thirty four felonies for is that he misclassified in 514 00:26:43,977 --> 00:26:47,897 Speaker 2: his own internal business records a payment he made to 515 00:26:47,937 --> 00:26:52,337 Speaker 2: his lawyer as being for quote unquote legal services, when 516 00:26:52,377 --> 00:26:56,417 Speaker 2: it was in reality, in part a money that went 517 00:26:56,457 --> 00:26:59,657 Speaker 2: to Stormy Daniels. That is the crime, Okay. That is 518 00:26:59,737 --> 00:27:03,857 Speaker 2: a crazy thing to face. Thirty four felony charges for 519 00:27:04,457 --> 00:27:07,177 Speaker 2: and on top of that, there shouldn't even in New 520 00:27:07,257 --> 00:27:12,217 Speaker 2: York State. That's not a felony, a misdemeanor classifying business 521 00:27:12,217 --> 00:27:15,337 Speaker 2: records improperly. And again, normally, there would have to be 522 00:27:15,377 --> 00:27:18,377 Speaker 2: some allegation that some third party lost money in others 523 00:27:18,457 --> 00:27:20,777 Speaker 2: this this should come into play when let's say I 524 00:27:20,857 --> 00:27:23,217 Speaker 2: own a restaurant and the restaurant lost one hundred grand 525 00:27:23,257 --> 00:27:26,137 Speaker 2: and I'm trying to raise more money for the restaurant 526 00:27:26,537 --> 00:27:29,017 Speaker 2: from outsiders, and they say, we need to see your books, 527 00:27:29,177 --> 00:27:30,897 Speaker 2: so I show them my books, but I forget to 528 00:27:30,937 --> 00:27:33,257 Speaker 2: show them you know that I lost a million dollars 529 00:27:33,337 --> 00:27:36,537 Speaker 2: last year. Okay, That's that's what this is supposed to protect. 530 00:27:36,577 --> 00:27:41,857 Speaker 2: It's supposed to protect outsiders from fraud. Not not like 531 00:27:42,417 --> 00:27:46,417 Speaker 2: I'm putting an expense that I paid in one trash 532 00:27:46,537 --> 00:27:49,977 Speaker 2: instead of another trash in my own records. Okay, but 533 00:27:50,097 --> 00:27:53,817 Speaker 2: let's just say Donald Trump did this. This is a misdemeanor. 534 00:27:53,857 --> 00:27:56,697 Speaker 2: It's not a felony. How are they charging as a felony. 535 00:27:56,857 --> 00:28:00,177 Speaker 2: They're charging a felony because they're saying there's an underlying 536 00:28:00,377 --> 00:28:03,457 Speaker 2: crime that he was trying to conceal. What is the 537 00:28:03,537 --> 00:28:06,777 Speaker 2: underlying crime that they are claiming. Well, they've never actually 538 00:28:06,817 --> 00:28:09,257 Speaker 2: come out and charged him with any underlying crime, which 539 00:28:09,257 --> 00:28:11,777 Speaker 2: is weird. But what they seem to have settled on 540 00:28:12,097 --> 00:28:16,817 Speaker 2: is that the crime was improperly trying to influence the 541 00:28:16,857 --> 00:28:22,497 Speaker 2: twenty sixteen election. Okay, so that's a felony. Was he 542 00:28:22,537 --> 00:28:26,577 Speaker 2: engaged in a criminal conspiracy to influence the twenty sixteen 543 00:28:26,617 --> 00:28:28,817 Speaker 2: election in which he was a candidate, by the way, 544 00:28:28,897 --> 00:28:31,577 Speaker 2: So influencing the election and running for president, I'm not 545 00:28:31,577 --> 00:28:33,417 Speaker 2: sure how you just see what those things. But let's 546 00:28:33,417 --> 00:28:36,737 Speaker 2: just say, let's say he did that. Okay, let's say 547 00:28:37,297 --> 00:28:40,217 Speaker 2: the money to Stormy Daniels was part of a conspiracy 548 00:28:40,257 --> 00:28:44,737 Speaker 2: to influence the twenty sixteen election. Here is the deepest 549 00:28:44,897 --> 00:28:48,417 Speaker 2: problem of all in this crazy case. He's not being 550 00:28:48,577 --> 00:28:52,977 Speaker 2: charged for those payments. He's being charged for activity that 551 00:28:53,177 --> 00:28:58,177 Speaker 2: he did in twenty seventeen falsifying these business records. So 552 00:28:59,537 --> 00:29:03,217 Speaker 2: the payments to Michael Cohen started in twenty seventeen, the 553 00:29:03,297 --> 00:29:08,297 Speaker 2: election was in twenty sixteen. How can New York State 554 00:29:08,777 --> 00:29:13,457 Speaker 2: say with a straight fi that Donald Trump committed an 555 00:29:13,577 --> 00:29:17,857 Speaker 2: act designed to influence the twenty sixteen election. After the 556 00:29:17,857 --> 00:29:20,937 Speaker 2: twenty sixteen election was concluded, unless they're gonna say it 557 00:29:21,017 --> 00:29:23,657 Speaker 2: a time machine, which I didn't see in the indictment anywhere. 558 00:29:24,177 --> 00:29:28,777 Speaker 2: So both the sort of like overall charges here and 559 00:29:28,937 --> 00:29:32,977 Speaker 2: the specifics of the charges are insane, okay, And once 560 00:29:33,017 --> 00:29:36,537 Speaker 2: you actually sit down and read this, it just it 561 00:29:36,577 --> 00:29:40,657 Speaker 2: looks terrible. It looks like New York State is just 562 00:29:40,777 --> 00:29:44,697 Speaker 2: out to get Donald Trump by any means necessary. They 563 00:29:44,777 --> 00:29:46,817 Speaker 2: went after him for a half billion dollars for a 564 00:29:46,817 --> 00:29:49,977 Speaker 2: bunch of loans that he repaid, and now they're charging 565 00:29:50,057 --> 00:29:53,217 Speaker 2: him with felonies based on something that on their own 566 00:29:53,337 --> 00:29:59,137 Speaker 2: legal theory doesn't make any sense. And these are all Democrats, okay, 567 00:29:59,337 --> 00:30:02,657 Speaker 2: they're all you know, hard left Democrats. He's being tried 568 00:30:02,697 --> 00:30:06,737 Speaker 2: in Manhattan, which went eighty five point fifteen against him 569 00:30:07,137 --> 00:30:10,377 Speaker 2: in twenty twenty. I mean, look, I I said this 570 00:30:10,417 --> 00:30:12,417 Speaker 2: today on Twitter. I didn't vote for Donald Trump in 571 00:30:12,417 --> 00:30:14,697 Speaker 2: twenty twenty. I don't really like Donald Trump. I am 572 00:30:14,737 --> 00:30:16,457 Speaker 2: not voting for him in twenty twenty four. I'm not 573 00:30:16,497 --> 00:30:18,297 Speaker 2: voting for Biden. I didn't vote for Biden in twenty 574 00:30:18,337 --> 00:30:20,737 Speaker 2: twenty either. Not voting for either of these guys. But 575 00:30:20,857 --> 00:30:24,177 Speaker 2: to anybody who believes that the rule of law actually matters, 576 00:30:24,377 --> 00:30:27,937 Speaker 2: and that you like your your conduct should mean something 577 00:30:27,977 --> 00:30:30,297 Speaker 2: to the crime that you're charged with, and that the 578 00:30:30,377 --> 00:30:37,057 Speaker 2: crime should have some like like the seriousness of the offense, 579 00:30:37,617 --> 00:30:40,057 Speaker 2: some relationship to what you did. You should you should 580 00:30:40,057 --> 00:30:43,417 Speaker 2: be terrified by this. This is like you speed through 581 00:30:43,417 --> 00:30:46,017 Speaker 2: a red light and they take your car away and 582 00:30:46,057 --> 00:30:46,937 Speaker 2: throw you into git. 583 00:30:47,857 --> 00:30:50,937 Speaker 1: Yeah, it's a it's outrageous. Everyone should go check out 584 00:30:51,457 --> 00:30:54,537 Speaker 1: Alex Parrison Unreported Truths. We went along on the podcast. 585 00:30:54,537 --> 00:30:56,057 Speaker 1: It's always so much fun to have him on. But 586 00:30:56,177 --> 00:30:59,857 Speaker 1: on Substack Unreported truth No, it's great man. We we 587 00:31:00,177 --> 00:31:01,537 Speaker 1: miss you. We haven't had you on the show in 588 00:31:01,577 --> 00:31:04,937 Speaker 1: a bit. Unreported Truths on Substack and Alex that will 589 00:31:04,937 --> 00:31:06,617 Speaker 1: have you back soon. Thank you for all your work 590 00:31:06,657 --> 00:31:09,257 Speaker 1: and thank you for standing strong, especially on Masks and 591 00:31:09,297 --> 00:31:12,857 Speaker 1: the Vac's Madness. Appreciate you, thank you, thank you back