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 --> 00:00:21,977 Speaker 1: wherever you get your podcasts. Hey, everybody, Alex Berenson back 4 00:00:21,977 --> 00:00:23,657 Speaker 1: with us. Now you all know him, the guy who 5 00:00:23,697 --> 00:00:26,177 Speaker 1: is right about all the COVID stuff when it was 6 00:00:26,377 --> 00:00:28,657 Speaker 1: hard to be right. And we're going to talk about 7 00:00:28,977 --> 00:00:31,857 Speaker 1: some of that and also big pharma and other interesting 8 00:00:31,897 --> 00:00:34,497 Speaker 1: things going on in the world today. He has unreported 9 00:00:34,537 --> 00:00:36,977 Speaker 1: truths on subseack, which you should subscribe to. I am 10 00:00:36,977 --> 00:00:40,817 Speaker 1: a subscriber. Definitely go check that. Alex, let's start with this. 11 00:00:41,257 --> 00:00:44,017 Speaker 1: What are your thoughts as you're reading? And everyone who's 12 00:00:44,057 --> 00:00:46,337 Speaker 1: a I think pretty much a subscriber here on the 13 00:00:46,337 --> 00:00:49,137 Speaker 1: podcast remembers you, remembers your work, remembers you going on 14 00:00:49,177 --> 00:00:51,857 Speaker 1: Tucker Show, remembers you going on Clay and Buck talking 15 00:00:51,897 --> 00:00:54,177 Speaker 1: about the COVID stuff and all the heat you were getting. 16 00:00:54,657 --> 00:00:56,977 Speaker 1: The New York Times puts out a big piece now 17 00:00:57,497 --> 00:01:01,697 Speaker 1: we were misled on the COVID origins, Like it's been 18 00:01:01,737 --> 00:01:05,137 Speaker 1: five years. Really, now, what do you make of that? 19 00:01:06,017 --> 00:01:06,257 Speaker 2: Yeah? 20 00:01:06,337 --> 00:01:08,777 Speaker 3: Well, I mean I don't know what's more infuriating the 21 00:01:08,817 --> 00:01:11,977 Speaker 3: fact that like five years in and they're still pretending 22 00:01:11,977 --> 00:01:14,177 Speaker 3: there's a debate or the fact that you know, the 23 00:01:14,217 --> 00:01:18,137 Speaker 3: person who wrote this she yeah, she attacks Fauci. Great, 24 00:01:18,537 --> 00:01:22,257 Speaker 3: she says, you know, Christian Anderson is full of it. Great, 25 00:01:22,577 --> 00:01:25,257 Speaker 3: we know that. What is she not mentioned in the 26 00:01:25,257 --> 00:01:27,577 Speaker 3: New York Times. She's not mentioned that The New York 27 00:01:27,617 --> 00:01:32,737 Speaker 3: Times was pushing this nonsense. Not just in twenty twenty, when, okay, 28 00:01:32,777 --> 00:01:37,137 Speaker 3: you could say, well, you know, the scientific community did 29 00:01:37,417 --> 00:01:40,777 Speaker 3: at least was being steered by Fauci, but in twenty 30 00:01:40,817 --> 00:01:43,417 Speaker 3: twenty one, in twenty twenty two, in twenty twenty three, 31 00:01:43,697 --> 00:01:48,457 Speaker 3: long after there was tons of independent evidence, and frankly, 32 00:01:48,457 --> 00:01:50,857 Speaker 3: after twenty twenty one, we knew about the cover up too, 33 00:01:50,937 --> 00:01:53,737 Speaker 3: because of the good work that some independent journalists have 34 00:01:53,857 --> 00:01:56,937 Speaker 3: done and some foia. There was tons of evidence, and 35 00:01:56,977 --> 00:02:00,417 Speaker 3: yet the New York Times was still relying on Christian Anderson, 36 00:02:00,457 --> 00:02:04,217 Speaker 3: who is this, you know, immunologist in San Diego, on 37 00:02:04,257 --> 00:02:07,057 Speaker 3: a few other people who clearly had financial skin in 38 00:02:07,097 --> 00:02:12,697 Speaker 3: the game, who clearly were talking their book. And fine, okay, 39 00:02:12,737 --> 00:02:16,177 Speaker 3: you want to attack those people, great, but don't pretend 40 00:02:16,617 --> 00:02:20,337 Speaker 3: it's not. As I wrote in my sub sect yesterday, 41 00:02:20,377 --> 00:02:22,977 Speaker 3: what the smizzer said is not we were misled. It's 42 00:02:23,297 --> 00:02:27,897 Speaker 3: we and the science has misled you. And so yeah, 43 00:02:27,937 --> 00:02:28,777 Speaker 3: it's infuriating. 44 00:02:29,657 --> 00:02:33,057 Speaker 1: I sit here and I just think that there has 45 00:02:33,217 --> 00:02:38,897 Speaker 1: to be a bigger, bigger reckoning than what we've seen 46 00:02:38,897 --> 00:02:40,137 Speaker 1: so far on the issue. I know, I know, it 47 00:02:40,137 --> 00:02:42,697 Speaker 1: has been five years. I'm a little bit like the 48 00:02:42,737 --> 00:02:46,297 Speaker 1: guy who refuses to give up give up the fight here. 49 00:02:46,337 --> 00:02:47,497 Speaker 1: I mean, I think a lot of people on the 50 00:02:47,577 --> 00:02:50,697 Speaker 1: right have moved on with this. I still maybe because 51 00:02:50,697 --> 00:02:52,617 Speaker 1: I moved to Florida and left New York, which I 52 00:02:52,617 --> 00:02:54,777 Speaker 1: thought would never never happen. I never thought I would 53 00:02:54,817 --> 00:02:57,417 Speaker 1: leave New York City. But I'm not over it. I'm 54 00:02:57,457 --> 00:03:01,617 Speaker 1: not okay with it. And then we have Cuomo. Cuomo 55 00:03:02,057 --> 00:03:04,657 Speaker 1: wants to be not just the governor, not just the 56 00:03:04,857 --> 00:03:06,817 Speaker 1: mayor of New York City, after having been a governor 57 00:03:06,817 --> 00:03:10,857 Speaker 1: who had to resign for giving too many grabs and 58 00:03:10,897 --> 00:03:14,617 Speaker 1: smooches to his ladies on staff. But he, I think 59 00:03:14,777 --> 00:03:17,057 Speaker 1: clearly wants to use it as a platform to run 60 00:03:17,057 --> 00:03:19,457 Speaker 1: for president. And he's been getting a little bit of 61 00:03:19,537 --> 00:03:22,257 Speaker 1: people have been pushing a little bit on, Hey, remember 62 00:03:22,297 --> 00:03:25,417 Speaker 1: what you did during during COVID does no one in 63 00:03:25,457 --> 00:03:28,697 Speaker 1: New York Cara, remember Cuomo Chips and all the madness 64 00:03:28,737 --> 00:03:29,297 Speaker 1: with this guy. 65 00:03:30,377 --> 00:03:31,737 Speaker 2: No, I think they do. 66 00:03:31,817 --> 00:03:33,977 Speaker 3: The problem is that, you know, there's not a lot 67 00:03:34,017 --> 00:03:36,377 Speaker 3: of great choices for New York City mayor right now, 68 00:03:36,497 --> 00:03:40,417 Speaker 3: I mean, from Mark Adams on down. I haven't looked 69 00:03:40,457 --> 00:03:42,097 Speaker 3: at the poles. I don't even know if there's been poles. 70 00:03:42,097 --> 00:03:44,097 Speaker 3: So I don't know if Clomo can win. 71 00:03:44,697 --> 00:03:46,977 Speaker 1: Can I just tell you? Because he is by far 72 00:03:47,097 --> 00:03:49,057 Speaker 1: number one in the polls, I think he doubles the 73 00:03:49,057 --> 00:03:52,257 Speaker 1: next closest person support and I think he just announced 74 00:03:52,257 --> 00:03:54,297 Speaker 1: officially or he's about to announce officially. 75 00:03:54,337 --> 00:03:57,777 Speaker 3: So I mean that, you know, I will say that 76 00:03:57,817 --> 00:04:01,697 Speaker 3: Anthony Weener for a time had and it was sort 77 00:04:01,737 --> 00:04:04,337 Speaker 3: of a similar thing. After he got bounced from Congress. 78 00:04:04,377 --> 00:04:06,337 Speaker 3: He was running and it looked like he had a chance, 79 00:04:06,377 --> 00:04:08,017 Speaker 3: and then suddenly he didn't have a chance. 80 00:04:08,217 --> 00:04:10,897 Speaker 2: Now Cuomo's you know, it's a situation. 81 00:04:12,337 --> 00:04:16,377 Speaker 3: Uh but but we'll see what happens when you know, 82 00:04:16,497 --> 00:04:19,457 Speaker 3: when people are actually kind of reminded by the way. 83 00:04:19,497 --> 00:04:22,737 Speaker 3: One of the many terrible things of the Biden era, 84 00:04:22,857 --> 00:04:26,657 Speaker 3: the Biden and Kamala era, is it has convinced every 85 00:04:26,817 --> 00:04:30,377 Speaker 3: fourth rate Democratic politician that they can be presidents, right 86 00:04:30,417 --> 00:04:33,577 Speaker 3: because if those two, you know, one of them was president, 87 00:04:33,657 --> 00:04:36,177 Speaker 3: one of them, you know, was the Democratic nominee. 88 00:04:36,217 --> 00:04:37,417 Speaker 2: So you have you have Tim. 89 00:04:37,217 --> 00:04:41,657 Speaker 3: Walls running around, you have Cuomo, you know, the disgraced 90 00:04:41,697 --> 00:04:43,057 Speaker 3: governor positioning himself. 91 00:04:43,337 --> 00:04:46,137 Speaker 2: You have having news some doing. 92 00:04:45,857 --> 00:04:48,417 Speaker 3: Whatever he can to pretend that he wasn't governor of 93 00:04:48,457 --> 00:04:51,057 Speaker 3: California in the last eight years or whatever it was. 94 00:04:51,297 --> 00:04:54,977 Speaker 3: It's really, uh, you know, it's really the seven dwarves 95 00:04:54,977 --> 00:04:58,697 Speaker 3: are out in force right now. And you know, it's 96 00:04:58,737 --> 00:05:00,937 Speaker 3: interesting you say that there hasn't been a reckoning, and 97 00:05:00,977 --> 00:05:04,977 Speaker 3: they're clearly hasn't. There hasn't been a political or legal reckoning. 98 00:05:05,217 --> 00:05:08,337 Speaker 3: And it's also interesting to me Donald trumpet. You know, look, 99 00:05:08,377 --> 00:05:10,737 Speaker 3: he clearly there's a lot of scores he wants to settle. 100 00:05:10,977 --> 00:05:14,577 Speaker 3: He does not seem very interested in reopening COVID, and 101 00:05:15,097 --> 00:05:17,657 Speaker 3: you know, I don't know why that is. I haven't 102 00:05:17,737 --> 00:05:20,337 Speaker 3: talked to people in the administration about why that is. 103 00:05:21,097 --> 00:05:22,897 Speaker 2: And maybe it's a question worth asking. 104 00:05:22,937 --> 00:05:25,057 Speaker 3: Maybe he just has so many other sort of things 105 00:05:25,097 --> 00:05:27,817 Speaker 3: that are more personal to him that he wants to 106 00:05:27,857 --> 00:05:31,017 Speaker 3: settle first, or maybe he doesn't he doesn't care particularly. 107 00:05:31,417 --> 00:05:35,537 Speaker 3: I do think that there's increasingly a cultural reckoning. And 108 00:05:35,897 --> 00:05:38,577 Speaker 3: you know, I I tweeted about or I posted about 109 00:05:38,617 --> 00:05:42,457 Speaker 3: this today that you know, the New York Times there 110 00:05:42,497 --> 00:05:45,457 Speaker 3: was there's a Democratic strategist who it seems like a 111 00:05:45,497 --> 00:05:48,297 Speaker 3: pretty honest guy talking about how far to the right 112 00:05:48,977 --> 00:05:53,337 Speaker 3: young people, mostly men, but some women too, have moved 113 00:05:53,377 --> 00:05:55,257 Speaker 3: in the last four years. And to me, that is 114 00:05:55,497 --> 00:05:58,177 Speaker 3: clearly COVID driven, you know, because because look, if you're 115 00:05:58,217 --> 00:06:01,657 Speaker 3: twenty three, you're not that worried about inflation, okay you are. 116 00:06:02,217 --> 00:06:05,457 Speaker 3: You are worried about what you saw five years ago, 117 00:06:05,737 --> 00:06:07,937 Speaker 3: when it became pretty clear to you that the medical 118 00:06:08,057 --> 00:06:10,977 Speaker 3: establishment and all these people who were on TV didn't 119 00:06:10,977 --> 00:06:13,737 Speaker 3: really have your interest at heart at all, and there 120 00:06:13,817 --> 00:06:17,257 Speaker 3: could be this medical authoritarian state. And I think that 121 00:06:17,257 --> 00:06:20,577 Speaker 3: that has moved young people significantly to the right. 122 00:06:20,657 --> 00:06:21,817 Speaker 2: So I think we're I. 123 00:06:21,777 --> 00:06:24,017 Speaker 1: Think, can we can we dig into that? Because that 124 00:06:24,057 --> 00:06:25,497 Speaker 1: was actually I saw your tweet on that, and that 125 00:06:25,537 --> 00:06:26,497 Speaker 1: was why I was like, you know, I got to 126 00:06:26,497 --> 00:06:29,657 Speaker 1: talk to Alex about this today. So gen Z moves 127 00:06:29,697 --> 00:06:33,537 Speaker 1: to the right because of the medical authoritarian madness. That's 128 00:06:33,577 --> 00:06:36,377 Speaker 1: a that I think that the data certainly shows that, 129 00:06:36,457 --> 00:06:38,857 Speaker 1: and we can there's a number of factors. The assault 130 00:06:38,857 --> 00:06:41,497 Speaker 1: on masculinity, certainly for men, which is a very real, 131 00:06:41,817 --> 00:06:44,257 Speaker 1: very real thing. Uh, that they can't come up with 132 00:06:44,337 --> 00:06:47,017 Speaker 1: words to make being a man seem bad and make 133 00:06:47,097 --> 00:06:48,777 Speaker 1: us all try to use those words and then say 134 00:06:48,777 --> 00:06:51,577 Speaker 1: what assault on masculinely like like we're we're aware of this. 135 00:06:51,777 --> 00:06:53,497 Speaker 1: It's like when Gavin Newsom says no one on his 136 00:06:53,537 --> 00:06:55,577 Speaker 1: staff said latin X, and then there's all this stuff 137 00:06:55,577 --> 00:06:58,017 Speaker 1: that comes out about him and others on his staff 138 00:06:58,057 --> 00:07:01,097 Speaker 1: saying latin X. You know, they're just trying to blatantly 139 00:07:01,137 --> 00:07:05,337 Speaker 1: rewrite history. But there there was it. There was a 140 00:07:05,377 --> 00:07:09,017 Speaker 1: point at which society decided, and it was really the 141 00:07:09,137 --> 00:07:11,777 Speaker 1: you know, the expert cudentialed class in the medical but 142 00:07:11,817 --> 00:07:14,737 Speaker 1: really just in the sort of in general that if 143 00:07:14,777 --> 00:07:18,697 Speaker 1: it meant a one percent, not even one percent, if 144 00:07:18,737 --> 00:07:22,977 Speaker 1: it meant to point zero zero one percent in hospitalizations 145 00:07:23,457 --> 00:07:28,657 Speaker 1: for the elderly, no high school graduations, no sports, no 146 00:07:28,777 --> 00:07:33,017 Speaker 1: socializing with your friends for years, for years, for years. 147 00:07:34,537 --> 00:07:35,337 Speaker 2: It was crazy. 148 00:07:35,377 --> 00:07:38,617 Speaker 3: And you know, again like I don't I don't feel 149 00:07:38,657 --> 00:07:42,697 Speaker 3: like I was any genius to say this was crazy, 150 00:07:42,817 --> 00:07:45,217 Speaker 3: and you know, and to count out to the teachers' 151 00:07:45,257 --> 00:07:47,897 Speaker 3: unions and say we're not going to reopen schools. 152 00:07:47,897 --> 00:07:49,537 Speaker 2: Oh, we are going to reopen schools. 153 00:07:49,537 --> 00:07:51,977 Speaker 3: They just have to be properly ventilated, which is going 154 00:07:52,017 --> 00:07:53,977 Speaker 3: to take twenty years to do. I mean, it was 155 00:07:54,137 --> 00:08:01,017 Speaker 3: all insanity, and you know when and I got to go. 156 00:08:01,097 --> 00:08:02,857 Speaker 3: I can go back and find the posts or find 157 00:08:02,857 --> 00:08:03,377 Speaker 3: the subject. 158 00:08:03,417 --> 00:08:05,257 Speaker 2: But when did it be okay? When did it become 159 00:08:05,297 --> 00:08:08,137 Speaker 2: okay for society to sacrifice the young for the old? 160 00:08:08,217 --> 00:08:10,937 Speaker 2: It's the absolute opposite of what we should be doing. 161 00:08:11,017 --> 00:08:15,337 Speaker 3: And you know, I have three kids, but like, did 162 00:08:15,377 --> 00:08:18,097 Speaker 3: you really need to have kids to recognize what a 163 00:08:18,217 --> 00:08:19,417 Speaker 3: terrible idea that was? 164 00:08:20,097 --> 00:08:20,377 Speaker 2: Yeah? 165 00:08:20,417 --> 00:08:22,097 Speaker 1: No, I didn't have kids yet. I got one on 166 00:08:22,137 --> 00:08:24,777 Speaker 1: the way right now, be here in a few weeks, 167 00:08:24,857 --> 00:08:28,057 Speaker 1: thank you. Very exciting. But yeah, I remember sitting in 168 00:08:28,057 --> 00:08:31,817 Speaker 1: my tiny one bedroom in New York City as the 169 00:08:31,857 --> 00:08:34,417 Speaker 1: whole place went completely insane, and I just walking around like, 170 00:08:34,417 --> 00:08:36,457 Speaker 1: what what has happened to all of you people? And 171 00:08:36,537 --> 00:08:37,337 Speaker 1: can I give you something? 172 00:08:37,377 --> 00:08:37,457 Speaker 2: That? 173 00:08:37,537 --> 00:08:42,297 Speaker 1: Really another reason why Benson came to mind here, I 174 00:08:42,417 --> 00:08:45,217 Speaker 1: was have you seen this show? It's on It's on Max, 175 00:08:45,217 --> 00:08:47,777 Speaker 1: which used to be HBO The Pit. Are you familiar 176 00:08:47,777 --> 00:08:47,977 Speaker 1: with this? 177 00:08:48,097 --> 00:08:49,297 Speaker 2: This shows? 178 00:08:49,697 --> 00:08:53,097 Speaker 1: It's funny Noah Wiley, who was on the original er, 179 00:08:53,297 --> 00:08:55,817 Speaker 1: The Michael Crichton Er from the nineties, which was a 180 00:08:55,937 --> 00:08:59,377 Speaker 1: very celebrated and popular show. Then he's now the lead 181 00:08:59,457 --> 00:09:02,697 Speaker 1: doctor in the It's basically e R in Pittsburgh. I 182 00:09:02,697 --> 00:09:04,857 Speaker 1: forget what the original EAR was, but it's the same 183 00:09:04,857 --> 00:09:07,737 Speaker 1: thing and just an emergency room drama. It's actually pretty 184 00:09:07,737 --> 00:09:09,657 Speaker 1: well done. You might like it. I mean, the medical 185 00:09:09,657 --> 00:09:13,457 Speaker 1: stuff is interesting. It seems, at least to my civilian 186 00:09:13,537 --> 00:09:16,857 Speaker 1: non doctor I pretty realistic for what it is. I mean, 187 00:09:16,897 --> 00:09:19,377 Speaker 1: certainly the super long waits in the er, you know, 188 00:09:19,417 --> 00:09:22,177 Speaker 1: in the waiting room, and like the mess. You know, 189 00:09:22,177 --> 00:09:23,977 Speaker 1: they don't walk away from that stuff. But there's a 190 00:09:23,977 --> 00:09:26,497 Speaker 1: whole scene where this guy gets so it's clearly supposed 191 00:09:26,497 --> 00:09:28,417 Speaker 1: to be a Trump supporter too. Who doesn't want someone 192 00:09:28,657 --> 00:09:30,417 Speaker 1: who doesn't want to be told to wear a mask? 193 00:09:30,777 --> 00:09:33,257 Speaker 1: And he's like, well, you know, when we're doing our 194 00:09:33,297 --> 00:09:36,697 Speaker 1: surgery on you, like experts who save lives recognize that 195 00:09:36,737 --> 00:09:39,497 Speaker 1: it reduces infection to wear a mask. And I mean, 196 00:09:39,537 --> 00:09:42,137 Speaker 1: I wanted my wife was there. I'm not somebody who 197 00:09:42,137 --> 00:09:45,457 Speaker 1: talked to her. I was just furious they're still doing 198 00:09:45,497 --> 00:09:47,977 Speaker 1: this thing now, aren't they they're still gonna do those. Yeah, 199 00:09:48,017 --> 00:09:51,017 Speaker 1: but masks, but masks really will save us, like they haven't. 200 00:09:51,057 --> 00:09:53,417 Speaker 1: The medical establishment hasn't entirely abandoned this. 201 00:09:54,457 --> 00:09:56,497 Speaker 3: No, and even you know, so the Times they wrote 202 00:09:56,537 --> 00:09:59,377 Speaker 3: this piece on Sunday, and you know, two thirds of 203 00:09:59,417 --> 00:10:02,897 Speaker 3: the way down there was the the line which I 204 00:10:03,017 --> 00:10:05,337 Speaker 3: did not say publicly, but this is a podcast, so 205 00:10:05,377 --> 00:10:08,097 Speaker 3: it's still publicized. I probably shouldn't say, but it was 206 00:10:08,177 --> 00:10:11,697 Speaker 3: essentially the officer she was asked for it line where 207 00:10:11,697 --> 00:10:13,897 Speaker 3: it's like, well, there were good reasons for them to 208 00:10:13,977 --> 00:10:16,377 Speaker 3: lie about all this stuff, including essentially the fact that 209 00:10:16,417 --> 00:10:18,617 Speaker 3: Trump was calling it the woo flu. You know, even 210 00:10:18,657 --> 00:10:20,897 Speaker 3: though that that wasn't that wasn't exactly how it was phrased, 211 00:10:20,897 --> 00:10:22,977 Speaker 3: but it was like it was like they had reasons 212 00:10:23,017 --> 00:10:26,257 Speaker 3: to want to, you know, buffer trust in the scientific 213 00:10:26,377 --> 00:10:29,937 Speaker 3: establishment by lying about where the where it came from. 214 00:10:29,977 --> 00:10:33,217 Speaker 3: It's like, just admit it was totally wrong and you 215 00:10:33,217 --> 00:10:36,257 Speaker 3: shouldn't have done it. And let's I mean, I'm not 216 00:10:36,297 --> 00:10:38,777 Speaker 3: gonna say let's move on, but let's start with that. 217 00:10:39,057 --> 00:10:41,737 Speaker 3: And let's start with we're not going to pretend that 218 00:10:41,817 --> 00:10:43,977 Speaker 3: lockdown's work. We're not going to pretend that the MR 219 00:10:44,017 --> 00:10:48,297 Speaker 3: and as you know, were a particularly big scientific advance, 220 00:10:48,457 --> 00:10:50,697 Speaker 3: like we can. You can argue with me if you 221 00:10:50,777 --> 00:10:53,137 Speaker 3: want about whether you know whether or not they worked 222 00:10:53,177 --> 00:10:54,617 Speaker 3: at all or for how long they were. 223 00:10:54,657 --> 00:10:56,257 Speaker 2: We can have a reasonable discussion about that. 224 00:10:56,457 --> 00:10:59,377 Speaker 3: But every time I read how they saved millions of 225 00:10:59,457 --> 00:11:02,257 Speaker 3: lives and you know we're this movement, It's like, Okay, 226 00:11:02,257 --> 00:11:03,817 Speaker 3: then why is maderna stock. 227 00:11:03,697 --> 00:11:06,137 Speaker 2: Down ninety three percent from its high? Right? 228 00:11:06,297 --> 00:11:09,337 Speaker 3: The people who actually put money in the game know 229 00:11:09,497 --> 00:11:12,297 Speaker 3: that this. But this was a complete hype job and 230 00:11:12,377 --> 00:11:13,377 Speaker 3: didn't do very much. 231 00:11:13,457 --> 00:11:17,297 Speaker 1: Our sponsor here is Birch Gold. Last week's financial situation 232 00:11:17,457 --> 00:11:20,137 Speaker 1: with the markets look pretty spooky to people, but look, 233 00:11:20,497 --> 00:11:22,697 Speaker 1: you can take action today. This is where gold and 234 00:11:22,777 --> 00:11:25,857 Speaker 1: silver comes into play. When markets are volatile, when inflation 235 00:11:25,977 --> 00:11:28,017 Speaker 1: is still biting, you can take action. 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There's no obligation, just useful information. 243 00:11:47,657 --> 00:11:50,057 Speaker 1: A plus rating from the Better Business Bureau for Birch Gold, 244 00:11:50,217 --> 00:11:53,057 Speaker 1: get your free infoKit text buck to ninety eight, ninety eight, 245 00:11:53,177 --> 00:11:55,017 Speaker 1: ninety eight and with the experts at Birch Gold, help 246 00:11:55,057 --> 00:11:57,777 Speaker 1: you secure your future today with Gold text buck to 247 00:11:57,857 --> 00:12:03,577 Speaker 1: ninety eight, ninety eight ninety eight. All Right, Alex, the 248 00:12:03,377 --> 00:12:07,577 Speaker 1: the new administration on the health stuff, what's what is 249 00:12:07,617 --> 00:12:11,697 Speaker 1: the most important thing or things that you think could 250 00:12:11,697 --> 00:12:14,977 Speaker 1: be looked at for reform, for transparency? There was a lot, 251 00:12:15,017 --> 00:12:18,097 Speaker 1: I know, I know, I know. Particularly it's like right 252 00:12:18,137 --> 00:12:22,777 Speaker 1: wing moms who are more excited about RFK junior at 253 00:12:22,817 --> 00:12:26,657 Speaker 1: AHHS than really any like any other senior position other 254 00:12:26,697 --> 00:12:29,377 Speaker 1: than maybe Trump himself, right, And I always want to 255 00:12:29,377 --> 00:12:33,217 Speaker 1: have some of them what what should be done? What 256 00:12:33,217 --> 00:12:34,697 Speaker 1: do they want him to do? What do you want 257 00:12:34,777 --> 00:12:35,137 Speaker 1: him to do? 258 00:12:36,017 --> 00:12:39,017 Speaker 2: Well, you know one thing that if they can find a. 259 00:12:38,937 --> 00:12:42,337 Speaker 3: Way to do this within the balance of the First Amendment, 260 00:12:42,417 --> 00:12:45,457 Speaker 3: they can reduce the amount of pharmaceutical. 261 00:12:44,737 --> 00:12:48,417 Speaker 2: Advertising on television. That would unquestionably be a good thing. 262 00:12:50,537 --> 00:12:53,377 Speaker 3: And again, like maybe you force them to put in 263 00:12:53,457 --> 00:12:57,657 Speaker 3: so many disclaimers that it becomes economically impossible. Maybe you 264 00:12:57,737 --> 00:12:59,697 Speaker 3: say that the ads have to you know, look a 265 00:12:59,737 --> 00:13:03,177 Speaker 3: certain way so that they're not so attractive. But I 266 00:13:03,537 --> 00:13:09,737 Speaker 3: do think that clearly, you know, pharmaceutical advertising is a 267 00:13:09,737 --> 00:13:14,377 Speaker 3: bad thing generally, right it It encourages over prescriptions. And 268 00:13:14,377 --> 00:13:15,937 Speaker 3: in the US, we use a lot of drugs, we 269 00:13:16,017 --> 00:13:19,697 Speaker 3: use all you know, in every category, we use lots 270 00:13:19,737 --> 00:13:22,737 Speaker 3: and lots of drugs and probably over prescribe. And that's 271 00:13:22,777 --> 00:13:26,737 Speaker 3: probably led, you know, because physicians come under pressure from 272 00:13:27,057 --> 00:13:29,257 Speaker 3: you know, from people who've seen these ads, and and 273 00:13:29,417 --> 00:13:31,697 Speaker 3: it's easier at some point just to agree to get 274 00:13:31,737 --> 00:13:34,417 Speaker 3: them out of your office than to and to explain 275 00:13:34,457 --> 00:13:36,457 Speaker 3: to them, hey, maybe you should maybe you should exercise 276 00:13:36,537 --> 00:13:37,137 Speaker 3: some more. 277 00:13:37,697 --> 00:13:40,017 Speaker 2: Or whatever the you know, whatever the solution might be. 278 00:13:40,057 --> 00:13:43,137 Speaker 3: So I think I think reducing pharmaceutical advertising would be 279 00:13:43,137 --> 00:13:43,577 Speaker 3: a good thing. 280 00:13:43,617 --> 00:13:45,537 Speaker 2: Now, again, there's a First Amendment issue there that they're 281 00:13:45,537 --> 00:13:46,417 Speaker 2: going to have to figure out. 282 00:13:47,297 --> 00:13:52,537 Speaker 3: My personal uh uh bugaboo these days, and something that 283 00:13:52,577 --> 00:13:55,377 Speaker 3: I've written about recently for Unreported Truths for my sub 284 00:13:55,457 --> 00:13:58,137 Speaker 3: second and I'm thinking very very seriously about writing a 285 00:13:58,137 --> 00:14:02,737 Speaker 3: book about is about opioids, and generally sort of this 286 00:14:02,897 --> 00:14:07,377 Speaker 3: move towards you know, what I call drugs of abuse, 287 00:14:07,417 --> 00:14:09,977 Speaker 3: addictive drugs whether and that can be that can be 288 00:14:10,177 --> 00:14:12,297 Speaker 3: you know, that can be opioids, that can be amphetamines, 289 00:14:12,337 --> 00:14:15,097 Speaker 3: that can be sort of the state level way that 290 00:14:15,137 --> 00:14:18,737 Speaker 3: we've legalized cannabis, the United States has a terrible problem 291 00:14:18,737 --> 00:14:20,257 Speaker 3: with addiction and overdose. 292 00:14:21,417 --> 00:14:23,417 Speaker 2: And can I tell you. 293 00:14:23,097 --> 00:14:25,737 Speaker 1: That one of the things that I know you've been 294 00:14:25,777 --> 00:14:28,257 Speaker 1: for a long time somebody who's just very opposed to weed. 295 00:14:28,737 --> 00:14:32,377 Speaker 1: And there are very few areas in public policy life 296 00:14:32,377 --> 00:14:36,057 Speaker 1: where I think I have been kind of bamboozled. You know, 297 00:14:36,097 --> 00:14:38,177 Speaker 1: maybe it's a little self congratulatory, but I tend to 298 00:14:38,177 --> 00:14:42,537 Speaker 1: be good at smelling the bs uh. And I believed 299 00:14:43,057 --> 00:14:48,097 Speaker 1: the oh legalized doing criminal not about anything except for weed. 300 00:14:48,337 --> 00:14:50,217 Speaker 1: I mean, I was never like, oh, yeah, heroin, just 301 00:14:50,257 --> 00:14:51,937 Speaker 1: like let people inject. I mean, you know, because there's 302 00:14:51,977 --> 00:14:54,857 Speaker 1: different right there. There's a difference between you know, the 303 00:14:54,897 --> 00:14:57,377 Speaker 1: difference between being bitten by a chihuahua and being bitten 304 00:14:57,377 --> 00:15:01,537 Speaker 1: by a lion. Like there's a difference between weed and fentanyl, clearly, 305 00:15:02,377 --> 00:15:05,497 Speaker 1: but even with weed, I you know, and I think 306 00:15:05,617 --> 00:15:07,337 Speaker 1: maybe it's part of my generation too, and all the 307 00:15:07,377 --> 00:15:09,737 Speaker 1: libertarians I knew were like, come on, man, like everyone's 308 00:15:09,737 --> 00:15:11,977 Speaker 1: serving all this time in prison for weed, but that 309 00:15:12,057 --> 00:15:15,697 Speaker 1: it was not that bad for you and really important 310 00:15:15,777 --> 00:15:20,097 Speaker 1: medicinally years ago. It's been about a decade, but years ago, 311 00:15:20,217 --> 00:15:22,577 Speaker 1: I believed that. And now when I see this stuff, 312 00:15:22,617 --> 00:15:24,297 Speaker 1: I'm like, that is just bull. 313 00:15:24,737 --> 00:15:27,457 Speaker 2: It is crap. Yes, it is crap. 314 00:15:27,497 --> 00:15:29,617 Speaker 3: It is It is just it is just a very 315 00:15:29,657 --> 00:15:31,977 Speaker 3: powerful and toxican and and you know, if you want 316 00:15:32,017 --> 00:15:34,417 Speaker 3: to legalize it on that basis, it's not a good idea, 317 00:15:34,577 --> 00:15:36,457 Speaker 3: but like that would at least be honest. 318 00:15:36,497 --> 00:15:38,097 Speaker 2: But everything, but you know what. 319 00:15:38,097 --> 00:15:40,057 Speaker 1: I'm talking about, right, they were saying, oh, people needed 320 00:15:40,097 --> 00:15:43,817 Speaker 1: for bull, people needed for glaucoma and for fibromyalgia, and 321 00:15:43,857 --> 00:15:46,457 Speaker 1: I'm like, wait, what that's what they need to need. 322 00:15:46,337 --> 00:15:47,977 Speaker 2: For Yeah, total lie. 323 00:15:48,177 --> 00:15:51,017 Speaker 3: The condition that we cures is called not being high, 324 00:15:51,097 --> 00:15:54,297 Speaker 3: and it's very effective at curing that. Everything else is 325 00:15:54,337 --> 00:15:55,257 Speaker 3: pretty much nonsense. 326 00:15:55,297 --> 00:15:57,137 Speaker 2: So no, but but we have a big problem. 327 00:15:57,297 --> 00:16:01,057 Speaker 3: And you can go back and look twenty five years ago, 328 00:16:01,937 --> 00:16:04,377 Speaker 3: you know, even a bit longer, and the US like 329 00:16:04,937 --> 00:16:07,897 Speaker 3: are are, yes, we've prescribed a lot of opioids, but 330 00:16:07,977 --> 00:16:09,457 Speaker 3: we but you know, we were sort of on the 331 00:16:09,497 --> 00:16:11,737 Speaker 3: same chart as the rest of the world. And then 332 00:16:11,777 --> 00:16:15,497 Speaker 3: you know Perdue Pharma, right, But it wasn't just Perdue Pharma. 333 00:16:15,537 --> 00:16:18,817 Speaker 3: Perdue Pharma and Medicare did something called the fifth vital 334 00:16:18,937 --> 00:16:23,457 Speaker 3: sign where they basically encourage doctors to treat pain as literally, 335 00:16:23,537 --> 00:16:25,777 Speaker 3: I'm not joking. The other vital signs are like your 336 00:16:25,777 --> 00:16:27,497 Speaker 3: breathing rate and your heart rate. 337 00:16:27,817 --> 00:16:30,337 Speaker 1: I'm gonna guess, yeah, pain was I'm gonna guess you've 338 00:16:30,337 --> 00:16:31,937 Speaker 1: read this book. If you haven't, this needs to be 339 00:16:32,017 --> 00:16:34,937 Speaker 1: the next thing that you Uh. Sam Kenone's Dreamland where 340 00:16:34,977 --> 00:16:37,017 Speaker 1: he goes, okay, yeah, I figured you'd be all over this. 341 00:16:37,377 --> 00:16:39,937 Speaker 1: It is an amazing book. He's an LA Times reporter. 342 00:16:40,097 --> 00:16:40,777 Speaker 1: It's a great book. 343 00:16:40,817 --> 00:16:41,257 Speaker 2: I don't care. 344 00:16:41,297 --> 00:16:43,217 Speaker 1: I don't know what his politics are. The politics don't 345 00:16:43,217 --> 00:16:45,057 Speaker 1: come through in the book. Just a lot of really 346 00:16:45,097 --> 00:16:48,337 Speaker 1: interesting information. And when he goes into the basis for 347 00:16:48,457 --> 00:16:50,697 Speaker 1: what you said, the fifth sign is pain, and everyone 348 00:16:50,697 --> 00:16:52,497 Speaker 1: has to like, how much pain are you in right now? 349 00:16:52,497 --> 00:16:54,657 Speaker 1: It's like, I'm fine, Like what am I? But to 350 00:16:54,697 --> 00:16:58,217 Speaker 1: create that and then also the it's not addictive with 351 00:16:58,297 --> 00:16:59,017 Speaker 1: oxy cotton. 352 00:16:59,737 --> 00:17:03,057 Speaker 2: That was a great and we are still faking. 353 00:17:02,817 --> 00:17:04,937 Speaker 1: Which is clearly it's just to be clear, it's a huge, huge, 354 00:17:05,017 --> 00:17:07,657 Speaker 1: huge lie everybody obviously, but that was what they said. 355 00:17:08,537 --> 00:17:09,457 Speaker 2: That was what they said. 356 00:17:09,697 --> 00:17:12,497 Speaker 3: And by way, another interesting thing about oxy coton is 357 00:17:12,497 --> 00:17:14,457 Speaker 3: that it's not a new drug. By the way, Fentanyl's 358 00:17:14,457 --> 00:17:17,017 Speaker 3: not new either. Fentol was invented in nineteen fifty nine. 359 00:17:17,377 --> 00:17:19,897 Speaker 3: So these drugs have been around. It's just that we 360 00:17:19,937 --> 00:17:24,177 Speaker 3: have managed this crisis so badly and on the and 361 00:17:24,297 --> 00:17:27,417 Speaker 3: you know, there's this left libertarian nexus that you see 362 00:17:27,457 --> 00:17:29,977 Speaker 3: on cannabis, but you see with opioids and other drugs 363 00:17:30,017 --> 00:17:35,057 Speaker 3: abuse too, where where it's well, we can't we can't 364 00:17:35,057 --> 00:17:38,817 Speaker 3: tell people know, and then if something goes wrong on 365 00:17:38,857 --> 00:17:40,737 Speaker 3: the left it's like, well, we have to give people 366 00:17:40,897 --> 00:17:41,657 Speaker 3: endless rehab. 367 00:17:41,697 --> 00:17:43,137 Speaker 2: We can never send them to jail. 368 00:17:43,457 --> 00:17:45,377 Speaker 3: It's just got We've just got to treat them as 369 00:17:45,417 --> 00:17:49,017 Speaker 3: these poor, you know, patients. And it is a big 370 00:17:49,977 --> 00:17:52,137 Speaker 3: it's all a big lie, and it's led to over 371 00:17:52,177 --> 00:17:53,457 Speaker 3: a million deaths. 372 00:17:53,937 --> 00:17:56,337 Speaker 1: I said this on radio recently because we're talking about 373 00:17:56,497 --> 00:17:58,377 Speaker 1: about the border Alexes and people talk about what a 374 00:17:58,377 --> 00:18:02,457 Speaker 1: problem fentanyl is. That now I'm actually forgetting. But I 375 00:18:02,457 --> 00:18:07,377 Speaker 1: think as recently as two thousand and four, all overdotes 376 00:18:07,457 --> 00:18:10,497 Speaker 1: deaths in America, it was like fifteen thousand or twenty 377 00:18:10,537 --> 00:18:14,417 Speaker 1: thousand or something. That's a tiny fraction of what it 378 00:18:14,457 --> 00:18:14,777 Speaker 1: is now. 379 00:18:15,497 --> 00:18:20,057 Speaker 3: That's correct. And in nineteen eighty it was six thousand, okay. 380 00:18:20,297 --> 00:18:23,497 Speaker 3: And in nineteen sixty You're not gonna believe this, but 381 00:18:23,577 --> 00:18:28,977 Speaker 3: it's true. In nineteen sixty, including suicides not just accidental 382 00:18:28,977 --> 00:18:31,057 Speaker 3: over us, it was fewer than two thousands. 383 00:18:31,297 --> 00:18:31,617 Speaker 2: Okay. 384 00:18:31,777 --> 00:18:34,537 Speaker 3: The idea that the United States has, you know, has 385 00:18:34,577 --> 00:18:37,457 Speaker 3: this culture of drug use that you can't fix. That 386 00:18:37,497 --> 00:18:39,577 Speaker 3: you just have to manage, and you have to do 387 00:18:39,617 --> 00:18:42,097 Speaker 3: all this harm reduction and let people use until they 388 00:18:42,137 --> 00:18:45,697 Speaker 3: die because we're just this incredibly screwed up country. The 389 00:18:45,897 --> 00:18:48,537 Speaker 3: historical record actually suggests the opposite. 390 00:18:48,577 --> 00:18:50,177 Speaker 1: Well, this is this is a very good book that 391 00:18:50,217 --> 00:18:51,777 Speaker 1: you're going to write. So you need to write this 392 00:18:51,817 --> 00:18:53,657 Speaker 1: book because this is an important book. And I know 393 00:18:53,697 --> 00:18:55,537 Speaker 1: a guy with a very big radio show that now 394 00:18:55,577 --> 00:18:57,777 Speaker 1: is on five hundred and fifty five stations. I think 395 00:18:57,817 --> 00:18:59,537 Speaker 1: where you should come and talk about the book when 396 00:18:59,537 --> 00:19:01,457 Speaker 1: you write it. So that's a good thing for you 397 00:19:01,497 --> 00:19:01,737 Speaker 1: to do. 398 00:19:02,857 --> 00:19:03,177 Speaker 3: All right. 399 00:19:03,257 --> 00:19:04,897 Speaker 2: Well, that's so that's what I'm up to. 400 00:19:05,137 --> 00:19:08,377 Speaker 3: And you know, I am working hard and somebody I 401 00:19:08,377 --> 00:19:09,857 Speaker 3: won't name who told me that I should get a 402 00:19:09,857 --> 00:19:10,857 Speaker 3: podcast on the go. 403 00:19:10,977 --> 00:19:13,737 Speaker 1: Also, yes, you should at least do a weekly to 404 00:19:13,817 --> 00:19:16,337 Speaker 1: go with your sub stack. Okay, that's orders from somebody 405 00:19:16,377 --> 00:19:18,817 Speaker 1: who's a smart guy who likes parentson's work. So you 406 00:19:18,817 --> 00:19:21,577 Speaker 1: should at least do a weekly podcast to add into 407 00:19:21,617 --> 00:19:23,857 Speaker 1: your stuff. All your subscribers, including me, are going to 408 00:19:23,897 --> 00:19:26,137 Speaker 1: be very pleased with that. Can I ask you an 409 00:19:26,177 --> 00:19:29,017 Speaker 1: Israel question? Which is funny to me because you're you're 410 00:19:29,057 --> 00:19:31,657 Speaker 1: a little heterodox, like I don't necessarily know where you're 411 00:19:31,657 --> 00:19:33,057 Speaker 1: going to go on. You know, I feel like you 412 00:19:33,097 --> 00:19:35,057 Speaker 1: call balls and strikes with Trump. I have no idea 413 00:19:35,097 --> 00:19:35,857 Speaker 1: what you're gonna say. 414 00:19:35,857 --> 00:19:36,097 Speaker 2: I don't. 415 00:19:36,217 --> 00:19:38,177 Speaker 1: I don't think I've ever talked about Israel Hamas stuff. 416 00:19:38,257 --> 00:19:39,937 Speaker 1: Can we do one of those questions in a second 417 00:19:39,977 --> 00:19:43,697 Speaker 1: after I get to sure? Okay, all right, I'm this 418 00:19:43,737 --> 00:19:45,777 Speaker 1: is gonna be interesting to me. Alex could go while 419 00:19:45,817 --> 00:19:47,657 Speaker 1: Alex all of a sudden could throw a cafe on. 420 00:19:47,897 --> 00:19:49,697 Speaker 1: He could go wild. I have no idea what's going 421 00:19:49,737 --> 00:19:52,577 Speaker 1: on here, let's see. But our sponsor here is why 422 00:19:52,577 --> 00:19:55,257 Speaker 1: I'm thinking about this International Fellowship of Christians and Jews. 423 00:19:55,617 --> 00:19:58,337 Speaker 1: The International Fellowship of Christians and Jews has supported and 424 00:19:58,377 --> 00:20:00,457 Speaker 1: will continue to support the people of Israel with life 425 00:20:00,457 --> 00:20:03,537 Speaker 1: saving security essentials, and your gift today will help save 426 00:20:03,577 --> 00:20:07,737 Speaker 1: lives by providing bomb shelters, armored security vehicles, ambulance, firefighting equipment, 427 00:20:07,937 --> 00:20:11,617 Speaker 1: flack jackets, bulletproofsts, and so much more. Your generous donation 428 00:20:11,697 --> 00:20:14,137 Speaker 1: today will help ensure the people of Israel are safe 429 00:20:14,137 --> 00:20:15,737 Speaker 1: and secure in the days to come. As you know, 430 00:20:15,817 --> 00:20:18,697 Speaker 1: the fighting has started again, the ceasefire has ended. Give 431 00:20:18,697 --> 00:20:20,697 Speaker 1: a gift to Blessed Israel and her people by visiting 432 00:20:20,737 --> 00:20:25,097 Speaker 1: support IFCJ dot org. That's one word, support IFCJ dot org. 433 00:20:25,297 --> 00:20:27,537 Speaker 1: We're called eight eight eight four eight eight I f CJ. 434 00:20:27,737 --> 00:20:30,217 Speaker 1: That's eight eight eight four eight eight I f CJ. 435 00:20:31,017 --> 00:20:32,857 Speaker 1: What do you make of where things stand right now? 436 00:20:32,897 --> 00:20:36,417 Speaker 1: I mean I mentioned it just there, Alex, but Israel's 437 00:20:36,417 --> 00:20:39,937 Speaker 1: bombing again, going into Gaza. They can't get the hostages back. 438 00:20:40,657 --> 00:20:42,577 Speaker 1: Where's where's your mind on all this? 439 00:20:43,457 --> 00:20:46,177 Speaker 3: So putting aside, you know what Trump is doing in 440 00:20:46,177 --> 00:20:48,857 Speaker 3: the US response, and because that I think actually is 441 00:20:48,857 --> 00:20:53,297 Speaker 3: a much more complicated question. I think, look, look where 442 00:20:53,417 --> 00:20:56,737 Speaker 3: Israel was on October eighth, and look where they are now. 443 00:20:57,057 --> 00:21:00,977 Speaker 3: They have destroyed you know, has Belah. They you know 444 00:21:01,017 --> 00:21:05,697 Speaker 3: that they have essentially made it impossible for the Iranians 445 00:21:05,737 --> 00:21:08,377 Speaker 3: to get to them through Syria. They have shown the 446 00:21:08,377 --> 00:21:11,177 Speaker 3: Iranians that they can attack the rany and air defenses 447 00:21:11,217 --> 00:21:14,577 Speaker 3: whenever they want, and they have and they have leveled 448 00:21:14,817 --> 00:21:16,897 Speaker 3: Gaza right now, They've done a lot of damage to 449 00:21:16,897 --> 00:21:20,177 Speaker 3: the civilian population. But the Gaza, you know, Hamas started 450 00:21:20,217 --> 00:21:23,617 Speaker 3: the war, right and so you don't really get to say, uh, 451 00:21:23,897 --> 00:21:26,857 Speaker 3: if you start the war that you know, now it's over, 452 00:21:27,097 --> 00:21:29,457 Speaker 3: like the other side gets there. You know, well one 453 00:21:29,497 --> 00:21:31,417 Speaker 3: side or the other gets to say that it's over. 454 00:21:31,817 --> 00:21:34,657 Speaker 3: But it's sort of too bad for you that you 455 00:21:34,737 --> 00:21:37,897 Speaker 3: started this war. So I don't have a problem. And 456 00:21:38,177 --> 00:21:40,457 Speaker 3: it's pretty clear. It was clear to me in December 457 00:21:40,897 --> 00:21:43,657 Speaker 3: that the ceasefire had come about because Israel had won. 458 00:21:44,137 --> 00:21:47,897 Speaker 3: Right there, Nobody the the Hamas Bet was We're going 459 00:21:47,977 --> 00:21:50,537 Speaker 3: to do this incredible thing on October seventh. We're going 460 00:21:50,617 --> 00:21:53,097 Speaker 3: to punch the Israelis in the nose. We're going to 461 00:21:53,177 --> 00:21:55,057 Speaker 3: do all this damage. We're going to show that that 462 00:21:55,577 --> 00:21:57,817 Speaker 3: you know that the border security that they had was 463 00:21:57,857 --> 00:22:00,337 Speaker 3: bs and then the. 464 00:22:00,377 --> 00:22:02,377 Speaker 1: Can I jump in on that isn't that just It 465 00:22:02,417 --> 00:22:05,897 Speaker 1: wasn't that just a I mean, put aside the monstrousness 466 00:22:05,897 --> 00:22:08,257 Speaker 1: of it and the just the horrific nature of the attack, 467 00:22:08,257 --> 00:22:11,777 Speaker 1: which is a given, yes, but is it as it just? 468 00:22:12,017 --> 00:22:12,217 Speaker 2: To me? 469 00:22:12,297 --> 00:22:16,137 Speaker 1: It strikes me as strategically a huge miscalculation from them, 470 00:22:16,177 --> 00:22:17,537 Speaker 1: as from them as well. 471 00:22:17,417 --> 00:22:19,777 Speaker 2: It turned out for me, a huge miscalculation. 472 00:22:19,937 --> 00:22:22,417 Speaker 3: I don't think they knew that because because one of 473 00:22:22,457 --> 00:22:25,737 Speaker 3: the things about it is they didn't really tell Iran 474 00:22:25,937 --> 00:22:28,177 Speaker 3: I think in detail or Hesbel Law in detail. 475 00:22:28,257 --> 00:22:30,217 Speaker 2: They sort of thought, we're going to do this. 476 00:22:30,697 --> 00:22:33,257 Speaker 3: And the Arab world is going to come to our aid, 477 00:22:33,377 --> 00:22:36,017 Speaker 3: and you know, and the Persians and Hesbel are going 478 00:22:36,057 --> 00:22:37,337 Speaker 3: to come to our aid this year, going to come 479 00:22:37,377 --> 00:22:40,897 Speaker 3: to our aid. It's gonna be a great day for 480 00:22:40,937 --> 00:22:44,497 Speaker 3: everybody who hates Jews. And it turned out that none 481 00:22:44,537 --> 00:22:47,617 Speaker 3: of those people actually like Jamas, and so they let 482 00:22:47,657 --> 00:22:50,617 Speaker 3: Hamas fight and get destroyed. And then the Israelis did this, 483 00:22:50,697 --> 00:22:54,497 Speaker 3: you know, incredible, really one of the great intelligence operations. 484 00:22:54,017 --> 00:22:55,737 Speaker 1: Of all I was going to say that the Law 485 00:22:56,417 --> 00:22:58,337 Speaker 1: and I know a lot of intel operations, you know, 486 00:22:58,497 --> 00:23:00,217 Speaker 1: historically and from the time when I worked there with 487 00:23:00,337 --> 00:23:02,217 Speaker 1: they pulled off with the pagers and the beepers is 488 00:23:02,257 --> 00:23:04,657 Speaker 1: maybe the most impressive intel operation I've ever heard of. 489 00:23:05,417 --> 00:23:06,937 Speaker 3: And by the way, it's rare that you can have 490 00:23:06,977 --> 00:23:10,017 Speaker 3: an intel operation that makes a difference strategically right now, 491 00:23:10,217 --> 00:23:14,017 Speaker 3: just tactically, but that was actually a strategically It's like 492 00:23:14,137 --> 00:23:16,537 Speaker 3: radar in World War Two. It actually changed the course 493 00:23:17,137 --> 00:23:21,297 Speaker 3: of what was happening in Lebanon. So so the Israelis won, right, 494 00:23:21,657 --> 00:23:24,137 Speaker 3: and then they made, uh, you know, sort of a 495 00:23:24,217 --> 00:23:28,217 Speaker 3: pretty favorable cease fire with Hamas, and Hamas I think 496 00:23:28,297 --> 00:23:31,017 Speaker 3: has realized that there's gonna be no Hamas left if 497 00:23:31,057 --> 00:23:33,617 Speaker 3: they hand over all the hostages, so they don't want to. 498 00:23:33,937 --> 00:23:35,457 Speaker 3: So these Raelies are just going to go in and 499 00:23:35,817 --> 00:23:39,497 Speaker 3: beat them up some more. And maybe the problem, I 500 00:23:39,497 --> 00:23:42,017 Speaker 3: guess for the Israelis is there really is no other 501 00:23:42,137 --> 00:23:46,057 Speaker 3: governing force in Gaza. So what you really do with 502 00:23:46,137 --> 00:23:49,097 Speaker 3: Gaza nobody knows, right, And I mean, the Trump Gaza 503 00:23:49,137 --> 00:23:51,977 Speaker 3: thing was insane, but it was. It was sort of 504 00:23:52,057 --> 00:23:56,417 Speaker 3: Trump's response to the problem of Gaza, which has no solution. 505 00:23:56,497 --> 00:23:58,457 Speaker 1: Well, I was going to say, I've told people that 506 00:23:58,537 --> 00:24:01,017 Speaker 1: it's the Trump thing. Sounds a little bit outlandish until 507 00:24:01,017 --> 00:24:05,857 Speaker 1: you think about the more outlandis outlandish option is keep 508 00:24:05,897 --> 00:24:08,897 Speaker 1: Hamas in charge, let them rebuild with international money and 509 00:24:08,937 --> 00:24:10,657 Speaker 1: just go back, you know, just go back to what 510 00:24:10,697 --> 00:24:13,057 Speaker 1: we had. I mean, I actually think that's crazier than 511 00:24:13,097 --> 00:24:15,417 Speaker 1: trying to build Trump Tower Gaza or whatever it was 512 00:24:15,417 --> 00:24:16,217 Speaker 1: I was talking about. 513 00:24:16,297 --> 00:24:17,377 Speaker 2: I mean, that's right. 514 00:24:17,617 --> 00:24:21,057 Speaker 3: I mean, so, so these reelies may feel like, hey, 515 00:24:21,097 --> 00:24:23,697 Speaker 3: we're just gonna do this again, and we're gonna, you know, 516 00:24:23,737 --> 00:24:27,057 Speaker 3: we're gonna either kill every you know, everybody with an 517 00:24:27,097 --> 00:24:31,857 Speaker 3: ak who's over twelve in Gaza, or we're gonna, you know, 518 00:24:31,937 --> 00:24:35,257 Speaker 3: make it so miserable that either you know that there's 519 00:24:35,297 --> 00:24:38,217 Speaker 3: some sane people in Hamas or there's some sane people 520 00:24:38,257 --> 00:24:41,937 Speaker 3: outside Hamas who say, we just can't live like this anymore. 521 00:24:42,177 --> 00:24:43,057 Speaker 2: I don't know what. 522 00:24:42,977 --> 00:24:46,017 Speaker 3: Their calculation is, but I do know this. They are 523 00:24:46,017 --> 00:24:48,217 Speaker 3: now in a position of strength and they're gonna do 524 00:24:48,737 --> 00:24:49,457 Speaker 3: what they want. 525 00:24:49,737 --> 00:24:51,977 Speaker 1: Yeah, and they should. This is what I keep telling people. 526 00:24:52,017 --> 00:24:55,377 Speaker 1: You know, elections have consequences. Starting wars have consequences too. 527 00:24:55,537 --> 00:24:57,377 Speaker 1: This is what this is reality. This has been true 528 00:24:57,377 --> 00:24:59,817 Speaker 1: of all for all of human history, and Gaza started 529 00:24:59,817 --> 00:25:02,617 Speaker 1: this war. So you know there's that thing about mess 530 00:25:02,617 --> 00:25:04,497 Speaker 1: around and find out. That's what's going on right now 531 00:25:04,657 --> 00:25:07,057 Speaker 1: Alex Perence and everybody. He's gonna be starting a podcast soon. 532 00:25:07,097 --> 00:25:08,777 Speaker 1: He announced it on this show, So now we're gonna 533 00:25:08,817 --> 00:25:11,337 Speaker 1: we're gonna keep him him to it at least once 534 00:25:11,377 --> 00:25:14,697 Speaker 1: a week Alex and uh check out Unreported Truth. Subscribe 535 00:25:14,697 --> 00:25:16,497 Speaker 1: to it on substack. Thanks for making the time and 536 00:25:16,577 --> 00:25:17,617 Speaker 1: always great to chat with you. 537 00:25:17,777 --> 00:25:20,337 Speaker 3: Fuck, I'm always a pleasure. And yeah, I'll be in. 538 00:25:20,617 --> 00:25:22,657 Speaker 3: We'll be competitors soon, but I hope that's great. 539 00:25:23,257 --> 00:25:25,457 Speaker 1: Hey, I'll come on the Bearonson Show. I love no one. 540 00:25:25,657 --> 00:25:28,297 Speaker 1: Everyone always just expects me to host. I can guest. 541 00:25:28,497 --> 00:25:30,777 Speaker 1: I like guesting, you know what I mean. Like everyone's 542 00:25:30,857 --> 00:25:33,417 Speaker 1: just I've been I've been hosting for fifteen years. I'm like, 543 00:25:33,457 --> 00:25:34,777 Speaker 1: I'll show up and guest with people. 544 00:25:34,777 --> 00:25:35,537 Speaker 2: So you let me know. 545 00:25:35,737 --> 00:25:38,857 Speaker 3: You're you're a very good host, because I think what 546 00:25:38,977 --> 00:25:40,617 Speaker 3: I'll have to learn it when I host is that 547 00:25:40,657 --> 00:25:42,097 Speaker 3: you can't overtalk the guests. 548 00:25:42,137 --> 00:25:44,097 Speaker 2: And you're very good at you know you, thank you question. 549 00:25:44,497 --> 00:25:46,537 Speaker 1: I want the guest. I want the guest to shine. 550 00:25:46,577 --> 00:25:48,457 Speaker 1: I like to throw that pitch right down the middle 551 00:25:48,457 --> 00:25:50,937 Speaker 1: and let them swing. So good to see you, my friend, 552 00:25:50,937 --> 00:25:52,617 Speaker 1: thanks again, thank you sir,