1 00:00:00,160 --> 00:00:02,040 Speaker 1: Hey, Buck, one of my kids called me an unk 2 00:00:02,080 --> 00:00:05,320 Speaker 1: the other day, and unk yep slang evidently for not 3 00:00:05,400 --> 00:00:06,840 Speaker 1: being hip, being an old dude. 4 00:00:06,920 --> 00:00:08,720 Speaker 2: So how do we ununk? 5 00:00:08,760 --> 00:00:12,200 Speaker 1: You get more people to subscribe to our YouTube channel. 6 00:00:12,200 --> 00:00:13,640 Speaker 1: At least that's to what my kids tell me. 7 00:00:13,880 --> 00:00:16,200 Speaker 3: That's simple enough. Just search the Klay Travis and Buck 8 00:00:16,239 --> 00:00:18,320 Speaker 3: Sexton Show and hit the subscribe button. 9 00:00:18,600 --> 00:00:21,400 Speaker 1: Takes less than five seconds to help ununk me. 10 00:00:21,680 --> 00:00:23,680 Speaker 3: Do it for Clay, do it for freedom, and get 11 00:00:23,720 --> 00:00:26,479 Speaker 3: great content while you're there. The Clay Travisen Buck Sexton 12 00:00:26,480 --> 00:00:30,040 Speaker 3: Show YouTube channel. Second hour of Clay and Buck kicks 13 00:00:30,080 --> 00:00:32,880 Speaker 3: off now, and we're joined by our friend Alex Berenson. 14 00:00:33,440 --> 00:00:36,680 Speaker 3: Go check out Unreported Truths on substack, which is. 15 00:00:36,600 --> 00:00:39,320 Speaker 2: Where he does a lot of his great work. 16 00:00:39,680 --> 00:00:42,960 Speaker 3: Also his various books, which I think particularly these days 17 00:00:42,960 --> 00:00:43,600 Speaker 3: in retrospect. 18 00:00:43,600 --> 00:00:44,000 Speaker 4: We'll see. 19 00:00:44,000 --> 00:00:46,800 Speaker 3: Wow, got a lot of important things, right, mister Berenson. 20 00:00:46,840 --> 00:00:48,040 Speaker 3: Good to have you back on the show. 21 00:00:48,560 --> 00:00:51,240 Speaker 4: Good to talk to you, Buck. How are you I'm going? 22 00:00:52,479 --> 00:00:54,680 Speaker 3: I'm on the men, my friend. A little little touch 23 00:00:54,720 --> 00:00:56,840 Speaker 3: of the neuro virus, I think a couple of days. 24 00:00:56,640 --> 00:00:58,480 Speaker 4: Ago, So talk to You're sick? 25 00:01:00,840 --> 00:01:03,200 Speaker 3: You know what I gotta tell you, I'm pulling long hours. 26 00:01:03,280 --> 00:01:04,800 Speaker 3: I got a baby. You know, there's a lot of 27 00:01:04,800 --> 00:01:08,160 Speaker 3: things going on over here. It's pretty crazy. So tell 28 00:01:08,200 --> 00:01:12,080 Speaker 3: me speaking of sick COVID vaccine for healthy children, healthy 29 00:01:12,080 --> 00:01:16,280 Speaker 3: pregnant women remove from CDC immunization schedule. 30 00:01:16,480 --> 00:01:18,200 Speaker 2: I had to kind of laugh because. 31 00:01:17,920 --> 00:01:20,240 Speaker 3: On the front page, so the CDC removes it from 32 00:01:20,280 --> 00:01:22,600 Speaker 3: the schedule, and I think it was the New York 33 00:01:22,600 --> 00:01:25,280 Speaker 3: Times on the front page today was should they be 34 00:01:25,319 --> 00:01:27,679 Speaker 3: removing this from the schedule. I'm like, I remember when 35 00:01:27,680 --> 00:01:32,440 Speaker 3: the notion of the CDC should be questioned was a 36 00:01:32,480 --> 00:01:34,200 Speaker 3: horrible crime against humanity? 37 00:01:34,319 --> 00:01:34,960 Speaker 2: What do you think? 38 00:01:36,240 --> 00:01:40,080 Speaker 4: I mean? I'm actually I'm actually frustrated, and I really 39 00:01:40,120 --> 00:01:42,200 Speaker 4: want to write about this today on the stack, but 40 00:01:42,240 --> 00:01:45,000 Speaker 4: I'm working on a like a story that's in some 41 00:01:45,319 --> 00:01:50,240 Speaker 4: I think is even more important. But I think, you know, 42 00:01:51,680 --> 00:01:55,480 Speaker 4: I think that the FDA, you know that the you know, 43 00:01:55,720 --> 00:01:59,600 Speaker 4: the new guys in charge are they're very serious, uh, 44 00:01:59,720 --> 00:02:04,360 Speaker 4: you know, the CDC and you know, and also Robert 45 00:02:04,440 --> 00:02:09,720 Speaker 4: Kennedy and Jay Bonataria, who's at an age. I think 46 00:02:09,800 --> 00:02:11,880 Speaker 4: I think it's a good new regime and I think 47 00:02:11,919 --> 00:02:14,239 Speaker 4: they want to do the right things. But I feel 48 00:02:14,280 --> 00:02:18,760 Speaker 4: like in this case, they didn't go nearly far enough, right. 49 00:02:18,840 --> 00:02:21,440 Speaker 4: I mean, this is what they should be worried about, 50 00:02:21,480 --> 00:02:24,280 Speaker 4: is whether the COVID vaccine works for anybody, and certainly 51 00:02:24,280 --> 00:02:27,320 Speaker 4: whether it works for essentially any adult under sixty five. 52 00:02:27,840 --> 00:02:31,280 Speaker 4: And so what did they do last week? The FDA said, Well, 53 00:02:31,320 --> 00:02:34,720 Speaker 4: we're going to require new trials that effectively are going 54 00:02:34,760 --> 00:02:37,400 Speaker 4: to mean the vaccine is not going to be available 55 00:02:37,440 --> 00:02:41,240 Speaker 4: for healthy adults under sixty five because the companies are 56 00:02:41,280 --> 00:02:44,160 Speaker 4: never going to run these new trials. Okay, that sounds 57 00:02:44,200 --> 00:02:46,080 Speaker 4: like a big move, but then you see how they 58 00:02:46,120 --> 00:02:49,280 Speaker 4: defined healthy and at least eighty percent of the American 59 00:02:49,320 --> 00:02:53,440 Speaker 4: population maybe maybe seventy five, maybe eighty percent probably doesn't 60 00:02:53,480 --> 00:02:57,280 Speaker 4: fit as healthy under the categories. So they didn't really 61 00:02:57,880 --> 00:03:00,960 Speaker 4: do anything to reduce vaccine avail ability because none of 62 00:03:00,960 --> 00:03:03,120 Speaker 4: those people, the people in the healthy category were getting 63 00:03:03,120 --> 00:03:06,400 Speaker 4: it anyway. And the CDC is more of the scene. 64 00:03:06,480 --> 00:03:08,600 Speaker 4: And Okay, so you want to say they took a 65 00:03:08,639 --> 00:03:11,280 Speaker 4: small step, and it's a small tip in the right 66 00:03:11,400 --> 00:03:14,359 Speaker 4: re direction. I agree with that. The problem is look 67 00:03:14,400 --> 00:03:17,040 Speaker 4: at the pushback that they've gotten today and that they 68 00:03:17,080 --> 00:03:19,840 Speaker 4: got last week. The FDA got last week, the CDC 69 00:03:20,000 --> 00:03:23,839 Speaker 4: is getting today. They do nothing, almost nothing. They take 70 00:03:23,880 --> 00:03:27,880 Speaker 4: the smallest possible step, the most scientifically valid step, and 71 00:03:28,560 --> 00:03:31,560 Speaker 4: you have these people screaming as if they're throwing babies 72 00:03:31,560 --> 00:03:35,200 Speaker 4: off a bridge. It's it's they cannot win, so they 73 00:03:35,240 --> 00:03:36,960 Speaker 4: should have done the right thing, which has gone a 74 00:03:37,000 --> 00:03:37,560 Speaker 4: lot further. 75 00:03:39,280 --> 00:03:40,000 Speaker 2: This is amazing. 76 00:03:40,040 --> 00:03:44,840 Speaker 3: I mean I'm even seeing here, like like Jerome Adams, 77 00:03:45,120 --> 00:03:50,000 Speaker 3: I'm seeing some others here on Twitter who are seeming 78 00:03:50,040 --> 00:03:53,600 Speaker 3: to take the you know he's an MD, right, seeming 79 00:03:53,600 --> 00:03:56,840 Speaker 3: to take the position, yeah, the serge in general, seeming 80 00:03:56,880 --> 00:04:00,840 Speaker 3: to take the position that the little tiny step that 81 00:04:00,920 --> 00:04:04,200 Speaker 3: you that you've said that you've laid out here is 82 00:04:04,280 --> 00:04:06,000 Speaker 3: somehow controversial. 83 00:04:06,600 --> 00:04:06,800 Speaker 2: Is that? 84 00:04:06,920 --> 00:04:10,840 Speaker 3: So here's my feeling on this, Alex the same way 85 00:04:10,920 --> 00:04:13,920 Speaker 3: that I think there has been an oh my gosh, 86 00:04:14,040 --> 00:04:16,680 Speaker 3: and that's one way of putting it cause on radio 87 00:04:17,000 --> 00:04:21,520 Speaker 3: and oh my, you know whatever bleep it moment or 88 00:04:21,600 --> 00:04:25,520 Speaker 3: a holy cow moment about the cover up of Biden's 89 00:04:25,560 --> 00:04:30,400 Speaker 3: dementia by what we consider the kind of establishment d 90 00:04:30,600 --> 00:04:33,000 Speaker 3: C press corps. Right, you know, if you were a 91 00:04:33,040 --> 00:04:35,039 Speaker 3: stat if you were AP New York Times good on 92 00:04:35,080 --> 00:04:36,800 Speaker 3: the list, you just kind of went along with this 93 00:04:36,839 --> 00:04:38,880 Speaker 3: whole thing and didn't care CNN the whole thing, and 94 00:04:38,920 --> 00:04:42,520 Speaker 3: now they realize, wow, this is if we actually just 95 00:04:42,600 --> 00:04:44,800 Speaker 3: go forward with this and everyone figures this out, or 96 00:04:44,839 --> 00:04:47,560 Speaker 3: rather everyone knows this and we've admitted it, that could 97 00:04:47,560 --> 00:04:50,360 Speaker 3: really hurt our long term credibility. I wonder if some 98 00:04:50,400 --> 00:04:53,440 Speaker 3: of these people in what I would consider institutional medicine 99 00:04:53,520 --> 00:04:55,920 Speaker 3: places like the cd not even medicine, kind of health 100 00:04:55,960 --> 00:04:58,960 Speaker 3: policy right, places like the CDC, if they feel like 101 00:04:59,000 --> 00:05:02,800 Speaker 3: their only choices to dig in because what happens to 102 00:05:02,880 --> 00:05:05,760 Speaker 3: these places if everyone finally says, oh, wow, they were 103 00:05:05,800 --> 00:05:07,880 Speaker 3: wrong about it and officially wrong about it. 104 00:05:09,520 --> 00:05:14,360 Speaker 4: Right. But here's so again, like I knew there was 105 00:05:14,400 --> 00:05:16,640 Speaker 4: going to be pushback just because there are people out 106 00:05:16,680 --> 00:05:18,719 Speaker 4: there who just don't I mean a lot of people 107 00:05:18,720 --> 00:05:20,640 Speaker 4: out there in the public health community who don't want 108 00:05:20,640 --> 00:05:23,000 Speaker 4: to admit the truth, who aren't close to admitting the truth, 109 00:05:24,240 --> 00:05:27,440 Speaker 4: you know. And again we're talking about policies that don't 110 00:05:27,480 --> 00:05:31,159 Speaker 4: go nearly as far the new policies as the Europeans 111 00:05:31,160 --> 00:05:33,400 Speaker 4: have been for two or three years. Okay, these are 112 00:05:33,440 --> 00:05:36,960 Speaker 4: not radical policies. A radical policy would be these vaccines 113 00:05:37,000 --> 00:05:39,880 Speaker 4: are canning pull until we run a new trial with 114 00:05:40,000 --> 00:05:44,280 Speaker 4: the situation as it is now, where everybody has had 115 00:05:44,360 --> 00:05:48,640 Speaker 4: COVID already, where amicron appears to be milder, and where 116 00:05:48,640 --> 00:05:52,560 Speaker 4: we don't know the results of long term repeated mRNA 117 00:05:52,640 --> 00:05:54,440 Speaker 4: doostinc That's what I would do, Okay, I would have 118 00:05:54,440 --> 00:05:57,480 Speaker 4: done that for everybody, including people over seventy five. I 119 00:05:57,520 --> 00:05:59,520 Speaker 4: would have said, at this point, we have what's called 120 00:05:59,640 --> 00:06:04,680 Speaker 4: quinn go equipoise, where where we just don't know if 121 00:06:04,720 --> 00:06:08,520 Speaker 4: these things work at all, and that justifies a totally 122 00:06:08,560 --> 00:06:11,960 Speaker 4: new clinical trial for everybody. Okay, they didn't do anything 123 00:06:12,080 --> 00:06:13,960 Speaker 4: like that, And there are people would have gone even 124 00:06:13,960 --> 00:06:16,320 Speaker 4: further th than you know, like, let's basically take it 125 00:06:16,320 --> 00:06:18,240 Speaker 4: all the way back to face one for these and 126 00:06:18,720 --> 00:06:21,599 Speaker 4: do the proper preclinical studies on animals that were you know, 127 00:06:21,680 --> 00:06:24,600 Speaker 4: never done it were rushed back in twenty twenty. Okay, 128 00:06:25,240 --> 00:06:28,840 Speaker 4: they don't do any of that, and and and they 129 00:06:28,839 --> 00:06:32,160 Speaker 4: don't get any credit for standing you know, sort of 130 00:06:32,200 --> 00:06:35,880 Speaker 4: in the middle. So if I'm RFK, like I don't 131 00:06:35,920 --> 00:06:39,440 Speaker 4: expect anything different from public health. If I'm if I'm 132 00:06:39,600 --> 00:06:44,640 Speaker 4: Vina Prosade, who's the new top vaccine regulator at the FDAY, 133 00:06:44,640 --> 00:06:47,599 Speaker 4: And I know Vina and he's very smart and he 134 00:06:48,279 --> 00:06:51,240 Speaker 4: and he uh you know, does not have a lot 135 00:06:51,240 --> 00:06:53,560 Speaker 4: of confidence in the MR. And as I would say, 136 00:06:53,560 --> 00:06:55,400 Speaker 4: I mean, you know, he may think that they're that 137 00:06:55,440 --> 00:06:57,760 Speaker 4: they're decent for older people, but he's not. He doesn't 138 00:06:57,760 --> 00:07:01,200 Speaker 4: have blinders on about how well they work. Okay, they're 139 00:07:01,360 --> 00:07:05,480 Speaker 4: just afraid of the pushback. And since they got all 140 00:07:05,520 --> 00:07:08,080 Speaker 4: the pushback anyway, they might as well have done the 141 00:07:08,160 --> 00:07:10,280 Speaker 4: right thing. And so that you know, again, I expect 142 00:07:10,360 --> 00:07:13,200 Speaker 4: nothing from the public health people who could We've seen 143 00:07:13,240 --> 00:07:15,560 Speaker 4: how they've behaved for the last five years. But I 144 00:07:15,600 --> 00:07:19,120 Speaker 4: would hope that the people we elected to fix this 145 00:07:19,200 --> 00:07:20,760 Speaker 4: would push them a little bit harder. 146 00:07:21,920 --> 00:07:27,000 Speaker 3: Alex also on the regulatory issues and when when you 147 00:07:27,080 --> 00:07:31,120 Speaker 3: look at big pharma and where RFK Junior is going 148 00:07:31,160 --> 00:07:34,400 Speaker 3: to play into this, and obviously you know FDA, CDC, 149 00:07:34,600 --> 00:07:39,040 Speaker 3: these different agencies all have some rule or some some 150 00:07:39,120 --> 00:07:41,320 Speaker 3: say I think in the trajectory of some of the 151 00:07:41,320 --> 00:07:45,800 Speaker 3: big health programs and health discovery projects that are out there. 152 00:07:46,000 --> 00:07:47,080 Speaker 2: I thought this was really interesting. 153 00:07:47,160 --> 00:07:51,160 Speaker 3: You pointed out on Twitter that that the glps, which 154 00:07:51,200 --> 00:07:54,520 Speaker 3: are amazing drugs, and you hear all these stories are 155 00:07:54,520 --> 00:07:56,520 Speaker 3: not just about people with weight loss but also it 156 00:07:56,560 --> 00:08:01,440 Speaker 3: helps with gambling addiction and helps with alcohol. It's essentially 157 00:08:01,520 --> 00:08:05,960 Speaker 3: a it can curb the biochemistry in somebody that leads 158 00:08:06,000 --> 00:08:09,600 Speaker 3: to over consumption, which is a primary cause of most 159 00:08:09,640 --> 00:08:10,360 Speaker 3: of our really. 160 00:08:10,160 --> 00:08:11,440 Speaker 2: Bad diseases in this country. 161 00:08:11,440 --> 00:08:13,080 Speaker 3: I mean that that's just the truth, right, I mean 162 00:08:13,120 --> 00:08:16,400 Speaker 3: the obesity epidemic and and and heart disease and all 163 00:08:16,400 --> 00:08:18,560 Speaker 3: these things that's all tied in, but that that's an 164 00:08:18,560 --> 00:08:22,040 Speaker 3: old drug that they did the right way, and that lately, 165 00:08:22,640 --> 00:08:25,120 Speaker 3: you know, are are the farmer companies not doing the 166 00:08:25,160 --> 00:08:28,240 Speaker 3: same kind of discovery and the same kinds of new 167 00:08:28,360 --> 00:08:33,520 Speaker 3: drug uh, you know, finding that we've hoped that they've 168 00:08:33,520 --> 00:08:34,360 Speaker 3: been doing all along. 169 00:08:34,400 --> 00:08:35,800 Speaker 2: I mean, where do you come down on that? 170 00:08:36,400 --> 00:08:38,600 Speaker 4: So so so yeah, I mean this is something something 171 00:08:38,840 --> 00:08:40,200 Speaker 4: I really want to write a back. This is one 172 00:08:40,240 --> 00:08:42,280 Speaker 4: who is you know, I want to write a book about, 173 00:08:43,040 --> 00:08:45,400 Speaker 4: you know, sort of addictive behaviors and drugs. I want 174 00:08:45,400 --> 00:08:48,839 Speaker 4: to write h for another John Well, I want to 175 00:08:48,840 --> 00:08:50,880 Speaker 4: write a book about this too, and I don't know 176 00:08:50,920 --> 00:08:52,840 Speaker 4: that I will ever have time to, but it is 177 00:08:52,920 --> 00:08:56,320 Speaker 4: an incredibly important issue. And that is it's not that 178 00:08:56,360 --> 00:08:59,280 Speaker 4: the companies. I think if you run a drug company, 179 00:08:59,320 --> 00:09:01,480 Speaker 4: you hope to find good drugs, okay. You hope to 180 00:09:01,559 --> 00:09:05,120 Speaker 4: find drugs that help people that don't have terrible side effects, 181 00:09:05,440 --> 00:09:08,200 Speaker 4: that you know, treat the condition that you're aiming. Okay, 182 00:09:08,440 --> 00:09:10,640 Speaker 4: and in a perfect world, you hope that those are 183 00:09:10,679 --> 00:09:13,920 Speaker 4: not too expensive. I mean, obviously the companies want to 184 00:09:13,920 --> 00:09:19,360 Speaker 4: make money. But so in the like from about nineteen fifty, 185 00:09:20,160 --> 00:09:23,640 Speaker 4: in nineteen sixty through about two thousand, what you would 186 00:09:23,679 --> 00:09:26,960 Speaker 4: call the golden age of pharma and of small molecule 187 00:09:27,080 --> 00:09:30,920 Speaker 4: drug discovery. These were simple chemicals. Okay, you put them. 188 00:09:31,520 --> 00:09:34,240 Speaker 4: They were usually taken in pill form. They were they 189 00:09:34,280 --> 00:09:36,880 Speaker 4: did things that were relatively straightforward. I'm going to reduce 190 00:09:36,920 --> 00:09:41,679 Speaker 4: your blood pressure. I'm going to reduce your cholesterol. You know. 191 00:09:42,640 --> 00:09:45,240 Speaker 4: Some sometimes it was a little more complicated, like I'm 192 00:09:45,280 --> 00:09:47,760 Speaker 4: going to reduce you know, influence predates that, but I'm 193 00:09:47,800 --> 00:09:51,640 Speaker 4: going to help your pancreates work better and make more influence. Okay, 194 00:09:52,320 --> 00:09:55,720 Speaker 4: these these are these are you know, they're complicated, but 195 00:09:55,800 --> 00:09:58,640 Speaker 4: a reasonable person can understand how a drug like that 196 00:09:58,960 --> 00:10:03,559 Speaker 4: works in you know, in a pretty straightforward way. And 197 00:10:03,600 --> 00:10:06,439 Speaker 4: then the drugs would go off patent and they and 198 00:10:06,520 --> 00:10:09,000 Speaker 4: they were pails, right, and a million or two million 199 00:10:09,120 --> 00:10:11,920 Speaker 4: or five million Americans would take them, and they cost 200 00:10:11,920 --> 00:10:14,320 Speaker 4: a few dollars a day. So if a thousand bucks 201 00:10:14,640 --> 00:10:17,839 Speaker 4: a year, and if you know, three million people take that, 202 00:10:17,840 --> 00:10:21,400 Speaker 4: that's three million dollars a year. That's decent. That's good money. Okay, 203 00:10:22,120 --> 00:10:27,280 Speaker 4: those drugs have all been found. They've all pretty much 204 00:10:27,320 --> 00:10:30,320 Speaker 4: been found for the drugs that work the way I'm 205 00:10:30,360 --> 00:10:32,320 Speaker 4: talking about it, And in some ways, the glps are 206 00:10:32,360 --> 00:10:35,640 Speaker 4: actually the last of these drugs where it's a pretty 207 00:10:35,679 --> 00:10:39,040 Speaker 4: straightforward receptor and you just need to figure out how 208 00:10:39,040 --> 00:10:41,120 Speaker 4: to activate it. And you can actually see the companies 209 00:10:41,120 --> 00:10:43,400 Speaker 4: are trying to find drugs that won't be injectable but 210 00:10:43,440 --> 00:10:46,920 Speaker 4: will do the same thing at the at the injectable 211 00:10:46,960 --> 00:10:52,800 Speaker 4: glps like ozempic do. What they're stuck with now is 212 00:10:53,160 --> 00:10:56,960 Speaker 4: far more complicated. They're stuck with autoimmune diseases. They're stuck 213 00:10:57,000 --> 00:11:00,720 Speaker 4: with cancer, I mean, and those are really a big two, 214 00:11:01,240 --> 00:11:04,120 Speaker 4: and those are smaller patient populations. They tend to be 215 00:11:04,120 --> 00:11:08,040 Speaker 4: pretty sick. And the drugs are usually what are called biologics, 216 00:11:08,400 --> 00:11:13,400 Speaker 4: which means they're actually grown oftentimes now sells, and they 217 00:11:13,440 --> 00:11:17,120 Speaker 4: have like a specific protein that interacts with a very 218 00:11:17,160 --> 00:11:21,120 Speaker 4: you know, with a complicated receptor that that a small 219 00:11:21,240 --> 00:11:25,199 Speaker 4: molecule just won't work on. So these are really complicated drugs. 220 00:11:25,360 --> 00:11:29,160 Speaker 4: They're really expensive, the conditions they treat are really complicated, 221 00:11:29,200 --> 00:11:31,920 Speaker 4: and they tend not to really work that well or 222 00:11:31,960 --> 00:11:34,320 Speaker 4: they you know, they have big side effects. So even 223 00:11:34,360 --> 00:11:37,240 Speaker 4: there's a drug called Cotruda, which is now the biggest 224 00:11:37,240 --> 00:11:40,160 Speaker 4: selling drug in the world merk cells thirty billion dollars 225 00:11:40,559 --> 00:11:43,640 Speaker 4: a year. Okay, it's an oncology drug. It's a drug 226 00:11:43,720 --> 00:11:46,920 Speaker 4: for cancer. Does it work, yes, it works, Okay, it 227 00:11:47,000 --> 00:11:53,240 Speaker 4: will help people prolong life, but cancer is still incredibly lethal. Okay. 228 00:11:53,679 --> 00:11:56,640 Speaker 4: And and if you get a couple of extra years 229 00:11:56,679 --> 00:12:00,640 Speaker 4: out of Coatruda, you're doing well. And that's a good thing. 230 00:12:00,679 --> 00:12:03,120 Speaker 4: I wouldn't deny that to somebody. But this is a 231 00:12:03,200 --> 00:12:06,720 Speaker 4: drug that costs one hundred thousand dollars a year, and 232 00:12:06,800 --> 00:12:09,520 Speaker 4: it is the best example of any of these drugs. 233 00:12:09,720 --> 00:12:12,760 Speaker 4: So we have an industry now where all the easy 234 00:12:12,760 --> 00:12:16,320 Speaker 4: stuff has been found. And guess what, the companies don't 235 00:12:16,320 --> 00:12:19,040 Speaker 4: want to go away. They're big companies. There lots of 236 00:12:19,040 --> 00:12:21,240 Speaker 4: people working for them. They pay their executives a lot 237 00:12:21,240 --> 00:12:24,200 Speaker 4: of money, so they're doing what they have to do. 238 00:12:24,520 --> 00:12:28,040 Speaker 4: Which is trying to find stuff for these really complicated 239 00:12:28,040 --> 00:12:32,480 Speaker 4: conditions that's really expensive. But unfortunately, as a society, what 240 00:12:32,520 --> 00:12:34,760 Speaker 4: it means is that we're paying now almost a half 241 00:12:34,840 --> 00:12:38,120 Speaker 4: trillion dollars a year. We half trillion for drugs that 242 00:12:38,160 --> 00:12:43,080 Speaker 4: are pretty much marginally efficacious that only a few people 243 00:12:43,120 --> 00:12:45,200 Speaker 4: are getting. If I showed you the list, and this 244 00:12:45,320 --> 00:12:47,160 Speaker 4: is really the simplest way to look at this, if 245 00:12:47,160 --> 00:12:49,160 Speaker 4: I showed you the list of the top selling drugs 246 00:12:49,200 --> 00:12:51,480 Speaker 4: in two thousand and four, you would know the names 247 00:12:51,520 --> 00:12:56,240 Speaker 4: of those drugs. It's like lippotour or prozag Do you 248 00:12:56,440 --> 00:12:57,600 Speaker 4: know what those drugs were? 249 00:12:57,840 --> 00:13:00,319 Speaker 3: Okay, and those drugs work, by the way, I mean, 250 00:13:00,400 --> 00:13:02,520 Speaker 3: you know, lipitour is really important for people who need it. 251 00:13:02,720 --> 00:13:05,800 Speaker 4: Yeah, that's right. The statins really work. Okay, they work 252 00:13:05,840 --> 00:13:08,080 Speaker 4: the best of I think of all the major big 253 00:13:08,200 --> 00:13:10,800 Speaker 4: drug categories that we've invented in the last fifty years. 254 00:13:10,920 --> 00:13:15,319 Speaker 4: But if you look now, unless you have like pariasis, 255 00:13:15,400 --> 00:13:17,599 Speaker 4: and those drugs are pretty heavily advertised, a lot of 256 00:13:17,600 --> 00:13:21,280 Speaker 4: the drugs are psoriasis drugs, or you have cancer, I 257 00:13:21,320 --> 00:13:25,440 Speaker 4: mean sariasis are other autoimmune diseases like like arthritis. If 258 00:13:25,440 --> 00:13:28,120 Speaker 4: you unless you have one of those diseases. You've never 259 00:13:28,160 --> 00:13:29,920 Speaker 4: heard of any of these drugs, and we as a 260 00:13:29,960 --> 00:13:33,280 Speaker 4: society now are spending more and more on drugs that 261 00:13:33,320 --> 00:13:36,080 Speaker 4: are for a tiny fraction of the population and. 262 00:13:36,200 --> 00:13:38,480 Speaker 3: A couple things Alex, because we are we're going to run. 263 00:13:38,559 --> 00:13:40,160 Speaker 3: I just want to ask you about this. You got 264 00:13:40,160 --> 00:13:43,160 Speaker 3: that going no, no, no, I look, I find this fascinating. 265 00:13:43,320 --> 00:13:45,480 Speaker 3: I think the audience probably does too, because this really 266 00:13:45,480 --> 00:13:47,199 Speaker 3: matters to all of us in our long term health. 267 00:13:47,960 --> 00:13:53,760 Speaker 3: But Crisper technology AI do these things offer ways forward 268 00:13:53,800 --> 00:13:55,600 Speaker 3: that can break what feels like this loggame. I mean, 269 00:13:55,640 --> 00:13:57,840 Speaker 3: you're talking to something. I have Celiac disease and I 270 00:13:57,880 --> 00:14:00,000 Speaker 3: actually used to follow a few companies that were doing 271 00:14:00,080 --> 00:14:02,439 Speaker 3: trials on how to cure because it's really annoying and 272 00:14:02,480 --> 00:14:05,120 Speaker 3: it actually creates a lot of like long term challenges 273 00:14:05,120 --> 00:14:06,720 Speaker 3: and problems for people, even if you do the gluten 274 00:14:06,760 --> 00:14:08,760 Speaker 3: free thing, because you can never do it perfectly and anyway, 275 00:14:09,679 --> 00:14:12,640 Speaker 3: and they just it's just total fail Like every every 276 00:14:12,679 --> 00:14:15,160 Speaker 3: company has tried, every company so far try to do anything. 277 00:14:15,280 --> 00:14:19,960 Speaker 2: It's like nothing, zero efficacy. Whatsoever does AI do? 278 00:14:19,960 --> 00:14:23,440 Speaker 3: Does Crisper technology, which is gene editing for to modify 279 00:14:23,520 --> 00:14:26,880 Speaker 3: DNA sequences. Does that offer a breakthrough to the logjam? 280 00:14:27,760 --> 00:14:30,280 Speaker 4: I don't. I don't think so. And we'll see, I mean, 281 00:14:30,320 --> 00:14:34,680 Speaker 4: I hope so. Okay, but but you know we we 282 00:14:34,680 --> 00:14:37,720 Speaker 4: we uh we figured out the human genome over twenty 283 00:14:37,840 --> 00:14:41,200 Speaker 4: years ago, okay, and we are just at the beginning 284 00:14:41,400 --> 00:14:44,840 Speaker 4: after a massive investment of getting drugs that are really 285 00:14:44,880 --> 00:14:47,920 Speaker 4: for this or gene editing for the simplest of these diseases, 286 00:14:47,960 --> 00:14:52,400 Speaker 4: which are essentially single uh you know, uh modifications, right, 287 00:14:52,880 --> 00:14:55,400 Speaker 4: But to do this, you know, a disease like schizophrenia 288 00:14:55,520 --> 00:14:58,480 Speaker 4: or auto them, these diseases that are very complicated to 289 00:14:58,520 --> 00:15:02,160 Speaker 4: have genetic and environment factors, Like there's not one gene 290 00:15:02,200 --> 00:15:04,720 Speaker 4: you can swap out and say everybody's better. Now, that's 291 00:15:04,840 --> 00:15:07,560 Speaker 4: not how this works. And so the you know, AI 292 00:15:07,760 --> 00:15:09,400 Speaker 4: is even more it's like, well, we're going to make 293 00:15:09,440 --> 00:15:11,760 Speaker 4: something that hits the receptor just right and doesn't have 294 00:15:11,800 --> 00:15:14,320 Speaker 4: any off target side effects. You know, wake me when 295 00:15:14,360 --> 00:15:16,840 Speaker 4: it actually happens, because it has not happened yet. 296 00:15:17,320 --> 00:15:18,960 Speaker 2: Well, I think you got to write a book on this, Alex. 297 00:15:19,040 --> 00:15:22,800 Speaker 3: Go check out Unreported Truths on substack and Alex always 298 00:15:22,800 --> 00:15:24,200 Speaker 3: appreciate you making the time for us. 299 00:15:24,640 --> 00:15:26,480 Speaker 4: Look, thanks for having me. Sorry, I get you got 300 00:15:26,480 --> 00:15:26,880 Speaker 4: me going. 301 00:15:27,360 --> 00:15:29,440 Speaker 3: No, it was good. I just we have to do 302 00:15:29,480 --> 00:15:30,920 Speaker 3: a commercial. I got to pay the bills over here. 303 00:15:30,920 --> 00:15:35,880 Speaker 3: Thank you so much. The pure Talk team believes every 304 00:15:35,880 --> 00:15:38,360 Speaker 3: service member who has faithfully served this country deserves to 305 00:15:38,400 --> 00:15:41,640 Speaker 3: proudly fly an American flag, one that's made at America. 306 00:15:41,760 --> 00:15:43,480 Speaker 3: And that's why pure talk is on a mission to 307 00:15:43,520 --> 00:15:46,760 Speaker 3: give an Allegiance flag, the highest quality American flag, to 308 00:15:46,840 --> 00:15:48,120 Speaker 3: at least a thousand veterans. 309 00:15:48,200 --> 00:15:49,320 Speaker 2: You can participate too. 310 00:15:49,880 --> 00:15:52,120 Speaker 3: Just switch your cell phone service to pure Talk this month, 311 00:15:52,120 --> 00:15:53,840 Speaker 3: and a portion of your monthly rate will go to 312 00:15:53,880 --> 00:15:55,400 Speaker 3: provide these high quality. 313 00:15:55,040 --> 00:15:56,000 Speaker 2: Flags to veterans. 314 00:15:56,160 --> 00:15:58,800 Speaker 3: With plans from just twenty five dollars a month for 315 00:15:58,920 --> 00:16:01,680 Speaker 3: unlimited talk, text and plenty of data, you can enjoy 316 00:16:01,680 --> 00:16:04,280 Speaker 3: America's most dependable five G network while cutting your cell 317 00:16:04,320 --> 00:16:08,000 Speaker 3: phone built in half. The average family saves over one 318 00:16:08,000 --> 00:16:11,160 Speaker 3: thousand dollars a year. Just dial pound two fifty say 319 00:16:11,160 --> 00:16:14,280 Speaker 3: the keywords Clay and Buck, and Puretalk's US customer service 320 00:16:14,320 --> 00:16:16,640 Speaker 3: team will get you switched hassle free in as little 321 00:16:16,640 --> 00:16:20,200 Speaker 3: as ten minutes. Again, dial pound two five zero say 322 00:16:20,240 --> 00:16:23,080 Speaker 3: Clay and Buck to support veterans and switch to America's 323 00:16:23,200 --> 00:16:24,120 Speaker 3: wireless company. 324 00:16:24,200 --> 00:16:24,720 Speaker 2: Pure talk. 325 00:16:32,760 --> 00:16:36,600 Speaker 3: We're gonna talk about this feued is battle between the 326 00:16:36,600 --> 00:16:39,600 Speaker 3: Trump administration and Harvard that continues to play out. And 327 00:16:40,600 --> 00:16:44,479 Speaker 3: I like this, and not just because I went to Amherst, 328 00:16:44,840 --> 00:16:46,840 Speaker 3: which is a different school in which a lot of 329 00:16:46,840 --> 00:16:49,000 Speaker 3: people say Amherston Williams is where you go if you 330 00:16:49,000 --> 00:16:50,960 Speaker 3: don't get into Harvard, Princeton or Yale. That was always 331 00:16:50,960 --> 00:16:53,240 Speaker 3: the mean joke that they would say. But I think 332 00:16:53,240 --> 00:16:54,840 Speaker 3: they should, you know, they should feel free to do 333 00:16:54,880 --> 00:16:56,880 Speaker 3: this to Amherst as well. I don't care all of 334 00:16:56,920 --> 00:17:01,080 Speaker 3: these schools that get any kind of federal research money. 335 00:17:01,360 --> 00:17:05,800 Speaker 3: Harvard is the big target on this. Should this should 336 00:17:05,840 --> 00:17:07,879 Speaker 3: be the reckoning that we have been waiting for a 337 00:17:07,920 --> 00:17:10,920 Speaker 3: long time. I'll dive into this in a moment and 338 00:17:11,800 --> 00:17:14,600 Speaker 3: make my case to you for why this actually makes 339 00:17:14,640 --> 00:17:18,840 Speaker 3: a lot of sense and it's important. There's there is 340 00:17:19,800 --> 00:17:22,560 Speaker 3: a need to shake things up to change things here 341 00:17:23,000 --> 00:17:26,959 Speaker 3: with these universities. And when you understand how important this is, 342 00:17:27,119 --> 00:17:30,040 Speaker 3: remember anything that you do that is good that the 343 00:17:30,119 --> 00:17:33,080 Speaker 3: left hates, they're going to scream and kick about, and 344 00:17:33,119 --> 00:17:36,040 Speaker 3: they're certainly doing that with this. Also, here's a fun talkback. 345 00:17:36,320 --> 00:17:38,919 Speaker 3: Clay is in Orlando and Jeff is in Orlando. Our 346 00:17:38,920 --> 00:17:39,440 Speaker 3: listener here. 347 00:17:39,520 --> 00:17:42,240 Speaker 2: This is what he says, AA talkback. 348 00:17:42,280 --> 00:17:44,920 Speaker 5: Play it Hey, Clay and Bucket, It's Jeff and Orlando. 349 00:17:45,640 --> 00:17:49,440 Speaker 5: Over the weekend, I was listening to some blues Government 350 00:17:49,520 --> 00:17:53,720 Speaker 5: Mule the deepest end, listening to a song thirty two 351 00:17:53,720 --> 00:17:56,720 Speaker 5: to twenty blues, and at the end of that song 352 00:17:56,880 --> 00:18:00,439 Speaker 5: was an incredible flute solo. I could have swe that 353 00:18:00,600 --> 00:18:01,080 Speaker 5: was Clay. 354 00:18:02,160 --> 00:18:05,080 Speaker 3: Well, if you see somebody maybe dressed as a mind 355 00:18:05,119 --> 00:18:08,000 Speaker 3: playing a flute in Disney World or wherever Clay is today, 356 00:18:08,680 --> 00:18:10,880 Speaker 3: it could be could be playing a mean. 357 00:18:10,800 --> 00:18:16,320 Speaker 2: Flute out there on the streets of Orlando or wherever 358 00:18:17,720 --> 00:18:18,320 Speaker 2: we may see. 359 00:18:18,359 --> 00:18:22,040 Speaker 3: The Western Conference NBA Finals wrap up tonight, and then 360 00:18:22,080 --> 00:18:24,679 Speaker 3: there's another possible outcome on Thursday too. Look, I've been 361 00:18:24,720 --> 00:18:28,000 Speaker 3: watching my beloved Knicks. It has been painful lately, especially 362 00:18:28,040 --> 00:18:31,480 Speaker 3: since that first game. 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You get fifty dollars instantly after you play 380 00:19:17,840 --> 00:19:20,000 Speaker 3: your first five dollar lineup. And I'm gonna have to 381 00:19:20,000 --> 00:19:23,480 Speaker 3: bet against the Knicks because it at least emotionally hedges, 382 00:19:23,640 --> 00:19:24,760 Speaker 3: because I think they're gonna lose. 383 00:19:28,720 --> 00:19:29,120 Speaker 4: Show. 384 00:19:30,119 --> 00:19:33,399 Speaker 3: As I sit here with all of you still in 385 00:19:33,880 --> 00:19:40,240 Speaker 3: recovery from my little stomach bug, I know that yesterday, 386 00:19:40,760 --> 00:19:42,240 Speaker 3: to the degree I was able to follow the news 387 00:19:42,320 --> 00:19:45,639 Speaker 3: or pay attention to anything that there was the announcement 388 00:19:45,680 --> 00:19:51,320 Speaker 3: about the Trump administration trying to end all federal funding 389 00:19:51,359 --> 00:19:56,000 Speaker 3: the remaining federal funding to Harvard, And I. 390 00:19:55,960 --> 00:19:56,720 Speaker 2: Know there are people. 391 00:19:56,800 --> 00:20:00,160 Speaker 3: Here's the way this argument seems to go out there 392 00:20:00,480 --> 00:20:04,280 Speaker 3: with some people. And I see this particularly on x 393 00:20:05,480 --> 00:20:08,240 Speaker 3: formerly known as Twitter, or you'll have people say, but 394 00:20:08,359 --> 00:20:10,280 Speaker 3: what about when they want to do this to a 395 00:20:10,400 --> 00:20:14,800 Speaker 3: conservative college? And then I always want to say, are 396 00:20:14,800 --> 00:20:18,399 Speaker 3: you paying attention? What is the conservative college that's getting 397 00:20:18,560 --> 00:20:21,919 Speaker 3: hundreds of millions of dollars from the federal government doesn't exist? 398 00:20:22,720 --> 00:20:26,560 Speaker 2: So you know this is it's so funny. There's this assumption, Oh, 399 00:20:26,640 --> 00:20:29,760 Speaker 2: but they'll do stuff to us too. No, no, no, 400 00:20:30,200 --> 00:20:32,760 Speaker 2: They've already been doing this stuff. That's the point. 401 00:20:32,880 --> 00:20:37,320 Speaker 3: It's a little bit like Trump's approach to China on trade. 402 00:20:37,359 --> 00:20:40,480 Speaker 3: People go, no, you can't do anything to China. What 403 00:20:40,600 --> 00:20:43,639 Speaker 3: if they start doing bad things to us on trade? 404 00:20:43,680 --> 00:20:47,479 Speaker 3: In response, they're already doing bad stuff to us as 405 00:20:47,560 --> 00:20:50,199 Speaker 3: much as they really can on trade. It's just a 406 00:20:50,280 --> 00:20:52,399 Speaker 3: question of are we willing to do something back so 407 00:20:52,480 --> 00:20:54,600 Speaker 3: that they stop, or that there's at least some cost 408 00:20:54,720 --> 00:20:58,800 Speaker 3: to this. That's the attitude, that's the mentality people should have. 409 00:20:59,520 --> 00:21:06,080 Speaker 3: Certainly the right about what's going on with Harvard And also, 410 00:21:06,920 --> 00:21:09,960 Speaker 3: I mean understand this, like why did Barack Obama go 411 00:21:10,040 --> 00:21:12,080 Speaker 3: to Harvard Law School and was the editor of Harvard 412 00:21:12,160 --> 00:21:15,880 Speaker 3: Law Review, even though I don't think he ever wrote 413 00:21:15,920 --> 00:21:18,080 Speaker 3: anything at Harvard Law Review, or if he did, it 414 00:21:18,119 --> 00:21:20,399 Speaker 3: was like one thing, so they just you know, he 415 00:21:20,440 --> 00:21:24,760 Speaker 3: was a figurehead after going to Occidental College for undergrad 416 00:21:24,800 --> 00:21:26,680 Speaker 3: for a while, and then he's transferred to Columbia. 417 00:21:26,720 --> 00:21:30,280 Speaker 2: Anyway, I remember the Obama bio pretty well, why do 418 00:21:30,320 --> 00:21:31,480 Speaker 2: you go to Harvard when he went to Harvard? 419 00:21:31,520 --> 00:21:33,320 Speaker 3: Because the whole point is you go there and you're 420 00:21:33,320 --> 00:21:35,440 Speaker 3: supposed to be really smart and the. 421 00:21:35,359 --> 00:21:37,400 Speaker 2: Elite and in charge. Right. 422 00:21:38,040 --> 00:21:41,879 Speaker 3: Well, Harvard had created over a long period of time, 423 00:21:42,359 --> 00:21:44,159 Speaker 3: and I think Harvard used to be I'm sure a 424 00:21:44,160 --> 00:21:47,560 Speaker 3: great place, but over I would say the last forty 425 00:21:47,640 --> 00:21:51,960 Speaker 3: years or so, in the affirmative action era and the 426 00:21:52,000 --> 00:21:56,680 Speaker 3: era of the left wing ascendancy on campus that it's 427 00:21:56,720 --> 00:21:58,840 Speaker 3: not I know, there's always been left wing stuff on campus. 428 00:21:58,880 --> 00:22:01,399 Speaker 3: People say, what about the sixties, tests Well, it turned 429 00:22:01,440 --> 00:22:04,480 Speaker 3: into everything became left. I mean, I haven't really spent 430 00:22:04,480 --> 00:22:06,240 Speaker 3: any time on a college campus since I was an 431 00:22:06,320 --> 00:22:07,960 Speaker 3: undergrad myself twenty years ago. 432 00:22:09,560 --> 00:22:15,359 Speaker 2: But you know they were. They were constantly comparing Bush 433 00:22:15,400 --> 00:22:17,000 Speaker 2: to Hitler. That was the thing. 434 00:22:17,440 --> 00:22:21,280 Speaker 3: People forget this now they compare Trump to Hitler now, 435 00:22:21,320 --> 00:22:25,000 Speaker 3: but they used to actually say, because of Afghanistan and 436 00:22:25,040 --> 00:22:28,040 Speaker 3: Iraq Wars, that Trump was Hitler. These people are nuts. 437 00:22:28,480 --> 00:22:33,239 Speaker 3: But the left wing completely overran these campuses and there 438 00:22:33,280 --> 00:22:38,200 Speaker 3: was really nothing left. And they enforced doctrine with the 439 00:22:38,400 --> 00:22:41,040 Speaker 3: zeal of the Stazi in East Germany. I mean, they 440 00:22:41,080 --> 00:22:45,159 Speaker 3: really make it so that if you say things that 441 00:22:45,200 --> 00:22:47,360 Speaker 3: are unapproved, they just make your life really uncomfortable. 442 00:22:47,359 --> 00:22:48,760 Speaker 2: They kick you off campus. 443 00:22:49,240 --> 00:22:53,320 Speaker 3: So there's already they're doing the bad stuff. Here is Trump. 444 00:22:53,359 --> 00:22:56,560 Speaker 3: By the way, I'll continue on with this line of argument. 445 00:22:56,600 --> 00:23:00,359 Speaker 3: Here's Trump. This is cut twenty three talking about the 446 00:23:00,359 --> 00:23:00,920 Speaker 3: Harvard fight. 447 00:23:01,000 --> 00:23:01,400 Speaker 4: Play it. 448 00:23:01,520 --> 00:23:05,800 Speaker 6: Hey, look, Harvard has been a disaster. They've taken five 449 00:23:06,280 --> 00:23:09,720 Speaker 6: plus by the way, five billion dollars plus five billion. 450 00:23:09,760 --> 00:23:11,560 Speaker 6: Nobody knew that they were making this cut. If we 451 00:23:11,560 --> 00:23:13,800 Speaker 6: didn't do this, nobody would have. We would have never 452 00:23:13,840 --> 00:23:18,320 Speaker 6: found this out. Pamp they're taking five billion dollars and 453 00:23:18,320 --> 00:23:20,520 Speaker 6: I'd rather see that money go to trade schools. And 454 00:23:20,560 --> 00:23:23,159 Speaker 6: by the way, they're totally anti Semitic. At Harvard, as 455 00:23:23,200 --> 00:23:25,760 Speaker 6: you know, and some other colleges to an all fairness 456 00:23:25,800 --> 00:23:28,919 Speaker 6: to them, and it's been exposed, very exposed. 457 00:23:30,840 --> 00:23:33,399 Speaker 3: It's more specifically on the college campuses on that issue 458 00:23:33,400 --> 00:23:36,880 Speaker 3: of the anti Semitism, as I've been saying all along, 459 00:23:36,920 --> 00:23:41,280 Speaker 3: and I think this has now become something that we discuss, 460 00:23:41,520 --> 00:23:44,040 Speaker 3: and and this show is somewhat known for putting out there. 461 00:23:44,080 --> 00:23:45,960 Speaker 3: I'd never heard anyone else make the argument before I 462 00:23:46,000 --> 00:23:49,399 Speaker 3: made it here on this program talking with Clay on 463 00:23:49,440 --> 00:23:55,320 Speaker 3: the air about how the American left views Israel Palestine 464 00:23:55,359 --> 00:23:59,359 Speaker 3: as a race conflict essentially, and that all the stuff 465 00:23:59,400 --> 00:24:02,920 Speaker 3: about ohnineteen forty eight and nineteen sixty seven and UN 466 00:24:02,960 --> 00:24:05,439 Speaker 3: resolution two four two and three three eight and the 467 00:24:05,480 --> 00:24:08,800 Speaker 3: Bow four Declaration, all these things that you can no, no, no, 468 00:24:09,040 --> 00:24:11,800 Speaker 3: it's white people are pressing brown people. That's what the 469 00:24:11,840 --> 00:24:14,480 Speaker 3: campuses think. And that's why you have all these groups 470 00:24:14,480 --> 00:24:16,800 Speaker 3: that know nothing and care nothing about the Middle East 471 00:24:17,320 --> 00:24:20,679 Speaker 3: that are so very you know, they get to be 472 00:24:20,720 --> 00:24:24,600 Speaker 3: super sanctimodious, super self righteous. The virtue signaling can be 473 00:24:24,640 --> 00:24:27,280 Speaker 3: off the charts, and the other people talking about, you know, 474 00:24:27,280 --> 00:24:29,360 Speaker 3: how much they care about Gaza. I would note I've 475 00:24:29,359 --> 00:24:33,399 Speaker 3: seen some left, some left wing media types in the 476 00:24:33,440 --> 00:24:36,400 Speaker 3: last few days. Bring you've seen this bringing up Sudan. 477 00:24:37,480 --> 00:24:39,040 Speaker 3: Where have you heard where have you heard that talked 478 00:24:39,080 --> 00:24:42,639 Speaker 3: about other than on this program? Right, just saying we're 479 00:24:42,680 --> 00:24:45,520 Speaker 3: ahead on a lot of this stuff. We were saying 480 00:24:45,720 --> 00:24:51,040 Speaker 3: here that the left views the Israel Palestine or you know, 481 00:24:51,240 --> 00:24:55,720 Speaker 3: Hamas Israel thing as a race conflict because that fits 482 00:24:55,720 --> 00:24:58,240 Speaker 3: into the very neat boxes that they set up in 483 00:24:58,280 --> 00:25:01,080 Speaker 3: their minds of how these even though that's I mean, 484 00:25:01,119 --> 00:25:04,359 Speaker 3: it's wrong on the facts, it's just it's absurd, but 485 00:25:04,400 --> 00:25:06,840 Speaker 3: that's how they view it, and that's why they feel 486 00:25:06,880 --> 00:25:09,560 Speaker 3: so morally superior, even when they know nothing about it, 487 00:25:10,560 --> 00:25:13,879 Speaker 3: and they they just inherently think non white means oppressed. 488 00:25:14,640 --> 00:25:16,960 Speaker 3: That's that's just their view. That's what they've been because 489 00:25:17,000 --> 00:25:21,280 Speaker 3: on campus, that's what you're told, non white oppressed doesn't matter. 490 00:25:21,440 --> 00:25:23,760 Speaker 3: You could be one of the richest athletes in the world, 491 00:25:23,840 --> 00:25:25,840 Speaker 3: you could be a president of the United States. Non 492 00:25:25,880 --> 00:25:31,280 Speaker 3: white oppressed. That is a the really the I think 493 00:25:31,320 --> 00:25:35,320 Speaker 3: the central ethos that holds the. 494 00:25:35,320 --> 00:25:38,080 Speaker 2: Left together and the Democrat Party overall. 495 00:25:38,920 --> 00:25:42,400 Speaker 3: That is the thing that you know, collectivism, moral relativism, 496 00:25:43,200 --> 00:25:47,679 Speaker 3: and uh, you know and this whole notion of what 497 00:25:47,840 --> 00:25:50,560 Speaker 3: is not what is non white or who those who 498 00:25:50,560 --> 00:25:53,440 Speaker 3: are non white are inherently oppressed. 499 00:25:54,280 --> 00:25:57,560 Speaker 2: So that's that's a big part of. 500 00:25:57,480 --> 00:26:00,320 Speaker 3: What you see going on on the Harvard camp is 501 00:26:00,520 --> 00:26:03,439 Speaker 3: that is a all these college campuses, is a major 502 00:26:03,520 --> 00:26:06,560 Speaker 3: aspect of it. But then I also get back to 503 00:26:06,560 --> 00:26:08,640 Speaker 3: this because people say, well, why. 504 00:26:08,320 --> 00:26:10,440 Speaker 2: You know, what's Harvard supposed to do? Trump's gon. 505 00:26:10,760 --> 00:26:16,440 Speaker 3: Trump is not saying, you know, you better start teaching 506 00:26:16,600 --> 00:26:19,160 Speaker 3: things in that Shakespeare one on one class the way 507 00:26:19,160 --> 00:26:23,560 Speaker 3: I want you to, or else. This school by our 508 00:26:23,600 --> 00:26:27,960 Speaker 3: own Supreme Court's ruling, which look directly at Harvard, I 509 00:26:28,000 --> 00:26:31,040 Speaker 3: might add, that's why Harvard is in the crosshairs. This 510 00:26:31,200 --> 00:26:34,840 Speaker 3: school is engaged in racial discrimination. 511 00:26:36,160 --> 00:26:37,520 Speaker 2: That is what is going on. 512 00:26:37,760 --> 00:26:41,359 Speaker 3: It is clear as day if Harvard said, as a 513 00:26:41,359 --> 00:26:46,360 Speaker 3: matter of policy, we will no longer take anybody. 514 00:26:45,960 --> 00:26:48,920 Speaker 2: Who is you know, Hispanic. Let's just put that out 515 00:26:48,920 --> 00:26:49,480 Speaker 2: there for a second. 516 00:26:49,480 --> 00:26:53,600 Speaker 3: If Harvard just said, sorry, we'll take everybody except the Hispanics, 517 00:26:54,320 --> 00:26:56,640 Speaker 3: or if we're gonna take Hispanics, they have to have 518 00:26:57,480 --> 00:27:01,760 Speaker 3: perfect SATs, perfect grades, and be in the like the 519 00:27:01,760 --> 00:27:06,359 Speaker 3: the one percentile to even consider getting in here. Of 520 00:27:06,400 --> 00:27:10,480 Speaker 3: all of our applicants, not like nationally, and that's the 521 00:27:10,520 --> 00:27:12,160 Speaker 3: way it's going to be. People would say, well, hold 522 00:27:12,200 --> 00:27:15,480 Speaker 3: on a second, that's not right. Why why have you 523 00:27:15,640 --> 00:27:22,679 Speaker 3: created a specific, a specific entry requirement for people based 524 00:27:22,720 --> 00:27:25,480 Speaker 3: on their ethnicity, their their skin color. 525 00:27:26,480 --> 00:27:28,720 Speaker 2: That's wrong, and they they would be right. 526 00:27:29,040 --> 00:27:33,359 Speaker 3: I think that it was this recognition back when I 527 00:27:33,480 --> 00:27:35,480 Speaker 3: was in high school and I had a kind of 528 00:27:35,560 --> 00:27:40,639 Speaker 3: unique experience because I was in a very academically rigorous, 529 00:27:40,760 --> 00:27:45,199 Speaker 3: scholarship high school where most of the students, you know, 530 00:27:45,280 --> 00:27:49,000 Speaker 3: I came from a comfortable background. I had a successful, 531 00:27:49,680 --> 00:27:53,240 Speaker 3: you know, Wall Street dad, but I was, you know, 532 00:27:53,320 --> 00:27:55,880 Speaker 3: not some super rich kid or anything. But a lot 533 00:27:55,880 --> 00:27:59,600 Speaker 3: of the kids there came from low income and sort 534 00:27:59,600 --> 00:28:02,439 Speaker 3: of lower middle income households, and a lot of them 535 00:28:02,440 --> 00:28:05,399 Speaker 3: were white. And this was the thing. And when they 536 00:28:05,440 --> 00:28:08,520 Speaker 3: would apply to schools, and because everybody knew too, it 537 00:28:08,520 --> 00:28:12,240 Speaker 3: was a very intense pressure cooker kind of a school academically, 538 00:28:13,000 --> 00:28:15,720 Speaker 3: and everyone knew who was like the top of the 539 00:28:15,760 --> 00:28:17,879 Speaker 3: class and who was you know, who was going to be. 540 00:28:18,119 --> 00:28:20,480 Speaker 3: It was one hundred and thirty kids, I would say 541 00:28:20,480 --> 00:28:22,439 Speaker 3: in my class, and you know, we knew who the 542 00:28:22,440 --> 00:28:27,000 Speaker 3: top ten kids were, and if you were a top 543 00:28:27,760 --> 00:28:30,159 Speaker 3: ten kid and you were white or Asian, we had 544 00:28:30,200 --> 00:28:33,280 Speaker 3: a lot of Filipinos, a lot of South Koreans because 545 00:28:33,280 --> 00:28:36,280 Speaker 3: you had to be Catholic to go, so not a lot, 546 00:28:36,400 --> 00:28:39,040 Speaker 3: no one really that I can remember from like mainland China, 547 00:28:39,040 --> 00:28:41,240 Speaker 3: but we had a lot of Filipinos, obviously a big 548 00:28:41,280 --> 00:28:45,760 Speaker 3: Catholic population. South Koreans as a robust Catholic population there too. 549 00:28:46,640 --> 00:28:49,880 Speaker 3: And I just remember if you were white or one 550 00:28:49,920 --> 00:28:52,280 Speaker 3: of the Asian kids, even if you were top ten 551 00:28:52,360 --> 00:28:54,440 Speaker 3: or top twenty in the whole class, which meant you 552 00:28:54,440 --> 00:28:57,880 Speaker 3: were you know, it had to be a national merit scholar, 553 00:28:58,000 --> 00:29:00,360 Speaker 3: no question, you know you you would have been the 554 00:29:00,400 --> 00:29:01,920 Speaker 3: top of any school anywhere in the country. I mean, 555 00:29:01,920 --> 00:29:04,080 Speaker 3: I think Regis has like the I don't know, I 556 00:29:04,080 --> 00:29:06,680 Speaker 3: mean it was the Stuyvesant kids always say they have 557 00:29:06,720 --> 00:29:09,240 Speaker 3: higher average SATs, but we were right there and Stuyvesant's 558 00:29:09,280 --> 00:29:10,800 Speaker 3: like number three in the country or something. 559 00:29:10,880 --> 00:29:14,520 Speaker 2: So some sty people are probably listening, Yeah we beat you, 560 00:29:15,120 --> 00:29:16,000 Speaker 2: maybe you did. 561 00:29:17,720 --> 00:29:20,040 Speaker 3: But if you were as if you were a Hispanic 562 00:29:20,160 --> 00:29:22,320 Speaker 3: or black and you were the number like fifty kid, 563 00:29:22,480 --> 00:29:23,920 Speaker 3: it was which ivy League school do you want to 564 00:29:23,920 --> 00:29:27,720 Speaker 3: go to? And I remember looking at that and recognizing 565 00:29:27,760 --> 00:29:32,720 Speaker 3: that phenomenon saying, that's just not right. It's very straightforward, 566 00:29:32,920 --> 00:29:35,040 Speaker 3: just not right. And people would say, oh, but what 567 00:29:35,080 --> 00:29:38,160 Speaker 3: about the legacy of slavery. Okay, well, first of all, 568 00:29:38,280 --> 00:29:41,560 Speaker 3: I still disagree that that means that today in you know, 569 00:29:41,560 --> 00:29:44,840 Speaker 3: the year twenty twenty five there, but put that aside 570 00:29:44,840 --> 00:29:45,400 Speaker 3: for a second. 571 00:29:45,560 --> 00:29:48,600 Speaker 2: So why the Latino kids? Why are they? 572 00:29:48,640 --> 00:29:52,240 Speaker 3: And this is explicitly by the numbers. Harvard does this. 573 00:29:53,160 --> 00:29:56,840 Speaker 3: Harvard discriminates on the basis of race. 574 00:29:57,000 --> 00:30:00,280 Speaker 4: People say, what's Harvard supposed to do, how's Harvard supposed to. 575 00:30:01,400 --> 00:30:05,120 Speaker 3: You know, make the concessions necessary to get more federal funding. 576 00:30:05,520 --> 00:30:10,520 Speaker 3: Stop being racist Harvard. They won't do it. They won't 577 00:30:10,520 --> 00:30:14,120 Speaker 3: do it. That's how much they It is worth hundreds 578 00:30:14,200 --> 00:30:17,960 Speaker 3: of millions of dollars to the people who run Harvard 579 00:30:18,520 --> 00:30:23,760 Speaker 3: to continue to tell some poor white kid from Appalachia 580 00:30:23,800 --> 00:30:26,080 Speaker 3: who has you know, is like the pride of his 581 00:30:26,200 --> 00:30:28,640 Speaker 3: town and you know, is the you know, he's got like. 582 00:30:28,680 --> 00:30:31,360 Speaker 2: A one forty IQ and sixteen hundred set and everything. 583 00:30:31,600 --> 00:30:33,400 Speaker 3: Yeah, I don't know, we have any space for you, 584 00:30:34,360 --> 00:30:39,080 Speaker 3: but we do have room for people who have far 585 00:30:39,160 --> 00:30:41,600 Speaker 3: lesser grades. And far lesser boards who are a different 586 00:30:41,640 --> 00:30:44,920 Speaker 3: skin color than you. That the fact that we had 587 00:30:44,960 --> 00:30:47,720 Speaker 3: to accept this as long as we did in this country. 588 00:30:47,800 --> 00:30:52,320 Speaker 3: Keep in mind, it is unconstitutional now. It is unconstitutional 589 00:30:52,320 --> 00:30:54,320 Speaker 3: to do this is not just now. I've been making 590 00:30:54,360 --> 00:30:58,160 Speaker 3: this argument pretty much my entire life, but certainly for 591 00:30:58,240 --> 00:31:01,520 Speaker 3: now fifteen years of doing media consistently, this is wrong. 592 00:31:01,600 --> 00:31:03,840 Speaker 3: This is wrong. They can't win this argument. And then 593 00:31:03,880 --> 00:31:06,480 Speaker 3: you get people playing all these games too. It's like, oh, well, 594 00:31:06,520 --> 00:31:10,520 Speaker 3: you know, my my grandmother is from Polynesia, so I'm 595 00:31:10,560 --> 00:31:14,280 Speaker 3: actually a I'm applying to school as like a Pacific islander. 596 00:31:14,280 --> 00:31:16,120 Speaker 3: I know somebody who did that to get into Stanford 597 00:31:16,360 --> 00:31:18,800 Speaker 3: just see it. And she got in. Not an impressive 598 00:31:18,800 --> 00:31:22,440 Speaker 3: student got in. Oh I'm a quarter Pacific islander. 599 00:31:22,480 --> 00:31:22,680 Speaker 4: You know. 600 00:31:22,880 --> 00:31:26,000 Speaker 3: It's like, by the way, I think her mom might 601 00:31:26,040 --> 00:31:28,080 Speaker 3: have even been from like Hawaii or so. It's just 602 00:31:28,240 --> 00:31:31,160 Speaker 3: the whole thing. It's a scam. It's a scam. It's 603 00:31:31,200 --> 00:31:33,640 Speaker 3: absurd and we all know it. And by the way, 604 00:31:33,680 --> 00:31:36,160 Speaker 3: this is true in the hiring process too. It's racist, 605 00:31:36,440 --> 00:31:39,120 Speaker 3: it's wrong. Supreme Court looked at this. Sorry, this is 606 00:31:39,160 --> 00:31:41,320 Speaker 3: the system. We have not allowed to do this anymore. 607 00:31:41,600 --> 00:31:47,840 Speaker 3: Harvard still wants to do it. They refuse to change. 608 00:31:48,800 --> 00:31:51,880 Speaker 3: So back to my initial premise of when someone's doing 609 00:31:51,920 --> 00:31:54,320 Speaker 3: bad things to you, if you do something in response, 610 00:31:54,400 --> 00:31:59,320 Speaker 3: you're not the cause of the problems. Harvard is unconstitutionally 611 00:31:59,320 --> 00:32:02,040 Speaker 3: discriminating and also teaching all of his kids to hate 612 00:32:02,040 --> 00:32:06,560 Speaker 3: America and also engaged in a lot of pandering to 613 00:32:06,600 --> 00:32:09,800 Speaker 3: the anti Semitic pro Hamas element on Kaid all these things. 614 00:32:10,240 --> 00:32:14,160 Speaker 3: Why should the administration. Remember the administration's not saying we're 615 00:32:14,200 --> 00:32:17,360 Speaker 3: sending in the you know, we're sending in the you know, 616 00:32:17,400 --> 00:32:19,880 Speaker 3: the Marines to shut down your campus. You're not like, no, 617 00:32:20,080 --> 00:32:21,520 Speaker 3: of course, First Amendment. 618 00:32:21,960 --> 00:32:24,440 Speaker 2: But they're not entitled the hundreds of millions of dollars 619 00:32:24,480 --> 00:32:27,480 Speaker 2: of funds from the government. This is this is what 620 00:32:27,560 --> 00:32:30,000 Speaker 2: people you know, this is like the same argument with NPR. Well, 621 00:32:30,000 --> 00:32:30,440 Speaker 2: what is the. 622 00:32:30,480 --> 00:32:34,080 Speaker 3: Argument the government's money. The government should have never been 623 00:32:34,080 --> 00:32:36,760 Speaker 3: giving this money, especially something to NPR. And now it says, 624 00:32:36,800 --> 00:32:38,360 Speaker 3: you know what, we're not going to give them money anymore. 625 00:32:39,040 --> 00:32:40,840 Speaker 3: They don't have so they have the discretion to give 626 00:32:40,840 --> 00:32:42,560 Speaker 3: the money, but not the discretion to stop. And you 627 00:32:42,640 --> 00:32:44,520 Speaker 3: I know there's already some judge who's like you can't 628 00:32:44,520 --> 00:32:47,880 Speaker 3: do this. Supreme Court's gonna have to step in once again. 629 00:32:48,920 --> 00:32:51,120 Speaker 3: But Harvard could make this whole thing a lot easier 630 00:32:51,120 --> 00:32:53,959 Speaker 3: on itself. But it is so important to them because 631 00:32:54,520 --> 00:32:59,960 Speaker 3: they they have built this whole edifice of self congrats 632 00:33:00,720 --> 00:33:06,960 Speaker 3: and smugness around DEI and around diversity is our strength 633 00:33:07,000 --> 00:33:10,400 Speaker 3: and all this other stuff. And they've first of all 634 00:33:10,480 --> 00:33:13,320 Speaker 3: engaged in discrimination to do this. But also so much 635 00:33:13,360 --> 00:33:17,560 Speaker 3: of what has been excellent in these institutions has been, 636 00:33:19,560 --> 00:33:23,240 Speaker 3: you know, just giving up in favor of this left 637 00:33:23,280 --> 00:33:28,040 Speaker 3: wing religious belief of DEI. And that's why they're so upset. 638 00:33:28,080 --> 00:33:31,360 Speaker 3: And that's what's going on. I say, keep this fight going, 639 00:33:32,040 --> 00:33:34,120 Speaker 3: keep this fight going. Trump is doing the right thing. 640 00:33:34,680 --> 00:33:37,520 Speaker 3: These schools, you know, they give their and I would say, well, 641 00:33:37,520 --> 00:33:39,840 Speaker 3: why did Obama go there? Because the whole point is 642 00:33:39,840 --> 00:33:41,560 Speaker 3: you get to go to one of these places and 643 00:33:41,600 --> 00:33:43,680 Speaker 3: you're inherently Harvey gets to pick and choose who the 644 00:33:43,720 --> 00:33:46,680 Speaker 3: elites are. Well to anyone who knows anything, by the way, 645 00:33:46,760 --> 00:33:48,640 Speaker 3: you should not be impressed. I mean, I see some 646 00:33:48,680 --> 00:33:50,960 Speaker 3: of these There's like a national security analyst who I 647 00:33:51,000 --> 00:33:52,800 Speaker 3: see on CNN sometimes and I used to know when 648 00:33:52,840 --> 00:33:56,560 Speaker 3: I was there who is like, teaches at Harvard in 649 00:33:56,560 --> 00:33:57,160 Speaker 3: one of the schools. 650 00:33:57,240 --> 00:34:00,040 Speaker 2: It's just a dumbass. I mean truly a dumbass. And 651 00:34:00,080 --> 00:34:01,760 Speaker 2: you're like, oh, buck can you intersit down? 652 00:34:01,880 --> 00:34:04,280 Speaker 3: You and her sit down a professor at Harvard in 653 00:34:04,360 --> 00:34:06,400 Speaker 3: like the Kennedy School or something, can you intersit down? 654 00:34:06,600 --> 00:34:09,080 Speaker 3: And let's do let's just do like an overall knowledge 655 00:34:09,120 --> 00:34:11,760 Speaker 3: test for the world in national security. She gets smoked 656 00:34:11,800 --> 00:34:14,160 Speaker 3: by the buckster smoked and I know this. 657 00:34:14,160 --> 00:34:18,440 Speaker 2: Person teaches at Harvard, the Harvard professor. Yeah, give me 658 00:34:18,480 --> 00:34:18,880 Speaker 2: a break. 659 00:34:19,719 --> 00:34:22,480 Speaker 3: Protecting your house from the effects of torential rain starts 660 00:34:22,520 --> 00:34:25,400 Speaker 3: with the gutters. That's the first place water collects, and 661 00:34:25,560 --> 00:34:28,320 Speaker 3: if those gutters are clogged, you'll eventually have water damage 662 00:34:28,360 --> 00:34:30,360 Speaker 3: within your house. That's why you want to rely on 663 00:34:30,400 --> 00:34:32,520 Speaker 3: leaf filter and their team of experts right now save 664 00:34:32,600 --> 00:34:35,120 Speaker 3: up to thirty percent off at leefilter dot com. Slash 665 00:34:35,160 --> 00:34:38,239 Speaker 3: clay and buck gutter clogs aren't just a nuisance. They 666 00:34:38,239 --> 00:34:41,480 Speaker 3: can cause extensive water damage. Let lee Filters Trusted pro 667 00:34:41,640 --> 00:34:44,399 Speaker 3: help protect your home from flooding, foundation issues, and more. 668 00:34:44,760 --> 00:34:48,080 Speaker 3: They'll clean out, realign and seal your gutters before installing. 669 00:34:48,120 --> 00:34:51,560 Speaker 3: Lee Filter's Award winning and patented technology. This is America's 670 00:34:51,640 --> 00:34:55,239 Speaker 3: number one gutter protection system. Schedule your free inspection in 671 00:34:55,320 --> 00:34:58,279 Speaker 3: get up to thirty percent off your entire purchase at 672 00:34:58,360 --> 00:35:02,640 Speaker 3: leefilter dot com slash clat buck that's leefilter dot com 673 00:35:02,680 --> 00:35:04,160 Speaker 3: slash clayand buck. 674 00:35:04,239 --> 00:35:10,640 Speaker 2: See the representative for warranty details. 675 00:35:14,120 --> 00:35:19,360 Speaker 3: Next hour, Senator Tuberville, perhaps soon to be Governor Tuberville 676 00:35:19,560 --> 00:35:22,879 Speaker 3: will be joining us from the great state of Alabama. 677 00:35:23,280 --> 00:35:26,560 Speaker 3: I will continue to hydrate with my water and gatorade mixture. 678 00:35:26,640 --> 00:35:28,960 Speaker 2: So far so good. Team asked me. 679 00:35:29,000 --> 00:35:30,799 Speaker 3: They said, was this harder or was doing the show 680 00:35:30,840 --> 00:35:32,400 Speaker 3: the first time you filled in for Rush with no 681 00:35:32,520 --> 00:35:35,480 Speaker 3: voice harder? Said, well, thanks to the steroids, because they 682 00:35:35,520 --> 00:35:39,560 Speaker 3: injected me with a cortizone steroid that first time around. 683 00:35:40,080 --> 00:35:41,840 Speaker 3: Not fun steroids, not like the ones that give you 684 00:35:41,880 --> 00:35:46,160 Speaker 3: big muscles, just the dealt with the inflammation. That was harder. 685 00:35:46,320 --> 00:35:48,120 Speaker 3: That was harder. I was able to do it thanks 686 00:35:48,120 --> 00:35:49,680 Speaker 3: to the court zone. But that was a more difficult 687 00:35:49,719 --> 00:35:51,680 Speaker 3: day this one. If I can get through the third 688 00:35:51,719 --> 00:35:55,880 Speaker 3: hour without smacking my face on the table from a dehydration, I'll. 689 00:35:55,719 --> 00:35:56,480 Speaker 2: Feel like it's a win. 690 00:35:56,840 --> 00:35:57,799 Speaker 4: So there we go. 691 00:35:58,520 --> 00:36:00,879 Speaker 3: We're gonna talk big beautiful Bill. Also, will we come 692 00:36:00,960 --> 00:36:04,279 Speaker 3: back here in a few moments. Let's take this talk back. 693 00:36:04,400 --> 00:36:04,640 Speaker 2: D D. 694 00:36:04,920 --> 00:36:08,280 Speaker 3: Brad from Cincinnati listens on fifty five KRC radio. 695 00:36:08,719 --> 00:36:09,359 Speaker 2: Let's play it. 696 00:36:13,400 --> 00:36:16,839 Speaker 7: Mike King was valedictorian of his high school class. We 697 00:36:17,120 --> 00:36:23,520 Speaker 7: contacted Harvard and they weren't even interested remotely because he's white. 698 00:36:23,680 --> 00:36:26,480 Speaker 7: So as far as I'm concerned, I hope Trump runs 699 00:36:26,480 --> 00:36:27,320 Speaker 7: them out of business. 700 00:36:28,800 --> 00:36:29,040 Speaker 4: Yeah. 701 00:36:29,080 --> 00:36:32,200 Speaker 3: I think Harvard has been engaged in discrimination, and I 702 00:36:32,239 --> 00:36:34,000 Speaker 3: don't just think so. The Supreme Court agrees with it, 703 00:36:34,520 --> 00:36:37,440 Speaker 3: and that's not okay. I thought we were anti racial 704 00:36:37,440 --> 00:36:41,000 Speaker 3: discrimination in this country. I thought we wanted a society 705 00:36:41,040 --> 00:36:44,120 Speaker 3: where everybody was, you know, continent of their character, not 706 00:36:44,200 --> 00:36:48,000 Speaker 3: color of their skin. The racial entitlement state is now illegal. 707 00:36:48,760 --> 00:36:51,759 Speaker 3: It is illegal. It is unconstitutional. 708 00:36:52,520 --> 00:36:52,640 Speaker 4: Uh. 709 00:36:53,040 --> 00:36:56,640 Speaker 3: And so these places that do it, they may think 710 00:36:56,680 --> 00:36:59,160 Speaker 3: that they have some and I don't know why, but 711 00:36:59,280 --> 00:37:02,319 Speaker 3: some weird reason that they get to ignore that. But 712 00:37:02,360 --> 00:37:04,800 Speaker 3: I'm pretty sure they're in America and they're getting federal dollars, 713 00:37:04,880 --> 00:37:08,520 Speaker 3: So we can cut off those federal dollars. They're not 714 00:37:08,760 --> 00:37:12,480 Speaker 3: entitled to government grants, just the same way that people 715 00:37:12,560 --> 00:37:14,880 Speaker 3: who are of a certain ethnicity or a certain background 716 00:37:15,320 --> 00:37:18,600 Speaker 3: background shouldn't be entitled to government grants in private industry,