1 00:00:00,280 --> 00:00:03,680 Speaker 1: Welcome back in Clay Travis Buck Sexton Show. Appreciate all 2 00:00:03,680 --> 00:00:06,280 Speaker 1: of you hanging out with us. Rolling through the Tuesday 3 00:00:06,440 --> 00:00:09,399 Speaker 1: edition of the program, and we are joined now by 4 00:00:10,119 --> 00:00:13,760 Speaker 1: David Zwig, investigative journalist and author. He's got a brand 5 00:00:13,760 --> 00:00:15,520 Speaker 1: new book. I think you guys are going to love it. 6 00:00:15,560 --> 00:00:17,439 Speaker 1: I've already started to check it out. We got it 7 00:00:17,480 --> 00:00:19,360 Speaker 1: at the home. Buck is holding it up right now. 8 00:00:19,680 --> 00:00:23,720 Speaker 1: An Abundance of caution, American schools, the virus, and a 9 00:00:23,800 --> 00:00:27,880 Speaker 1: story of bad decisions. David, thanks for joining us in 10 00:00:27,920 --> 00:00:30,000 Speaker 1: our New York City studio. I know we've had you 11 00:00:30,080 --> 00:00:33,000 Speaker 1: on before, and I think it's fair to say that 12 00:00:34,120 --> 00:00:38,000 Speaker 1: a lot of your reporting was not necessarily well received 13 00:00:38,080 --> 00:00:41,000 Speaker 1: by people on the left, and that you are not 14 00:00:41,320 --> 00:00:45,320 Speaker 1: some far right wing conspiracist conspiracy theorist. 15 00:00:45,880 --> 00:00:47,040 Speaker 2: You just did something wild. 16 00:00:47,200 --> 00:00:49,760 Speaker 1: You looked at the data and you were willing to 17 00:00:49,840 --> 00:00:52,880 Speaker 1: write about what the data showed, and you were as 18 00:00:52,920 --> 00:00:56,600 Speaker 1: Buck and I have both been profoundly angered and still 19 00:00:56,680 --> 00:01:00,360 Speaker 1: angry over the failures of American public policy as it 20 00:01:00,400 --> 00:01:03,880 Speaker 1: pertains to COVID. What pushed you to write this book 21 00:01:03,960 --> 00:01:06,320 Speaker 1: and what do you hope that people take from. 22 00:01:06,200 --> 00:01:11,399 Speaker 3: It's it's a very good assessment. Yeah, in the beginning, 23 00:01:12,440 --> 00:01:16,160 Speaker 3: very early on, it seemed reasonable to me. I wasn't 24 00:01:16,640 --> 00:01:19,120 Speaker 3: knowledgeable about what was happening. I live right outside New 25 00:01:19,200 --> 00:01:22,000 Speaker 3: York City. Okay, the schools are closed, everything shut down. 26 00:01:22,400 --> 00:01:26,080 Speaker 3: But very quickly after that, I watched my kids just 27 00:01:26,319 --> 00:01:28,920 Speaker 3: wilting away in the kind of the gray light of 28 00:01:28,959 --> 00:01:32,400 Speaker 3: their chromebooks, sitting alone in their bedrooms, and I was like, 29 00:01:32,920 --> 00:01:35,440 Speaker 3: this isn't going to work for a long period of 30 00:01:35,440 --> 00:01:39,880 Speaker 3: time like this, How can this be? And and from 31 00:01:39,880 --> 00:01:42,920 Speaker 3: there I just started kind of researching and digging in. 32 00:01:42,959 --> 00:01:44,280 Speaker 3: I was in the middle of writing a book and 33 00:01:44,319 --> 00:01:47,520 Speaker 3: a totally different topic at the time, but this was 34 00:01:47,600 --> 00:01:51,320 Speaker 3: just so crazy what was happening. I wanted to learn 35 00:01:51,360 --> 00:01:55,760 Speaker 3: more about what was going on, and very quickly I 36 00:01:55,800 --> 00:01:59,200 Speaker 3: started to speak with experts in Europe and elsewhere, because 37 00:01:59,200 --> 00:02:01,520 Speaker 3: you couldn't speak to them in the United States. And 38 00:02:01,760 --> 00:02:04,880 Speaker 3: it was very obvious that there was no reason for 39 00:02:04,920 --> 00:02:08,240 Speaker 3: the schools to remain closed. And that kind of set 40 00:02:08,280 --> 00:02:11,040 Speaker 3: me off on this path. And as you noted this 41 00:02:11,360 --> 00:02:15,400 Speaker 3: very much was you know, what was termed a contrarian 42 00:02:15,520 --> 00:02:21,040 Speaker 3: view against the establishment, and it was certainly a challenging 43 00:02:21,120 --> 00:02:26,120 Speaker 3: position for me writing for mainstream publications to get my 44 00:02:26,400 --> 00:02:30,120 Speaker 3: reporting in there. But I pulled it off, and I 45 00:02:30,160 --> 00:02:33,160 Speaker 3: think people kind of perceived me. I think it's true 46 00:02:33,360 --> 00:02:36,000 Speaker 3: as basically the only guy who's really able to do that, 47 00:02:36,080 --> 00:02:38,720 Speaker 3: to write a number of pieces. They were all backed 48 00:02:38,720 --> 00:02:42,440 Speaker 3: by evidence showing why the establishment view was so wrong. 49 00:02:43,480 --> 00:02:45,880 Speaker 4: David, you said something I want to return to if 50 00:02:45,919 --> 00:02:50,800 Speaker 4: I can. You said that there was no reason for 51 00:02:50,880 --> 00:02:52,519 Speaker 4: the schools to be closed. 52 00:02:52,880 --> 00:02:53,680 Speaker 2: There was no. 53 00:02:54,360 --> 00:02:57,360 Speaker 4: Medical reason for the schools to be closed. But I 54 00:02:57,400 --> 00:03:00,320 Speaker 4: am sure in the course of your research fund a 55 00:03:00,320 --> 00:03:06,640 Speaker 4: whole slew of non medical reasons or rationales or horse 56 00:03:06,680 --> 00:03:11,320 Speaker 4: trading that led to the continuation of public school closures. 57 00:03:11,360 --> 00:03:13,320 Speaker 4: While you know, I grew up in New York City, 58 00:03:13,400 --> 00:03:15,720 Speaker 4: so I know that system pretty well. Went to you know, 59 00:03:15,760 --> 00:03:18,680 Speaker 4: went to Catholic school there. There's private schools, parochial schools, 60 00:03:18,680 --> 00:03:23,960 Speaker 4: public schools. Parochial and private were open for business in 61 00:03:24,000 --> 00:03:26,320 Speaker 4: that in that fall after the initial pandemic, and yet 62 00:03:26,360 --> 00:03:27,520 Speaker 4: public schools were remote. 63 00:03:27,639 --> 00:03:27,919 Speaker 2: Why. 64 00:03:29,000 --> 00:03:32,720 Speaker 3: Yeah, I mean one of the things that's so remarkable, 65 00:03:32,880 --> 00:03:37,440 Speaker 3: and it's it's almost astonishing that this actually happened in 66 00:03:37,480 --> 00:03:39,600 Speaker 3: real time, and it's kind of one of the mean 67 00:03:40,520 --> 00:03:42,480 Speaker 3: reasons of why I wrote this book was to make 68 00:03:42,520 --> 00:03:46,080 Speaker 3: sure that what happened isn't just memory hold and the idea. 69 00:03:46,120 --> 00:03:49,320 Speaker 3: As you noted, kids were in school, in private schools, 70 00:03:49,680 --> 00:03:52,000 Speaker 3: They were in school in red districts and and in 71 00:03:52,040 --> 00:03:54,440 Speaker 3: you know, red states, while at the same time, a 72 00:03:54,520 --> 00:03:57,280 Speaker 3: kid could be down the block in public school and 73 00:03:57,320 --> 00:04:00,400 Speaker 3: he was kept home while his best friend you know, 74 00:04:00,480 --> 00:04:02,640 Speaker 3: in a different area or went to private school, was 75 00:04:02,680 --> 00:04:06,400 Speaker 3: in school every day. So the irony to me is 76 00:04:06,440 --> 00:04:12,080 Speaker 3: that on the left, which traditionally perceives itself as being 77 00:04:12,160 --> 00:04:15,960 Speaker 3: that the heroes of the underprivileged in our society, they 78 00:04:16,160 --> 00:04:21,400 Speaker 3: championed the rules and the guidelines and the policies that 79 00:04:21,520 --> 00:04:25,159 Speaker 3: actually harmed underprivileged kids the most. And it's like one 80 00:04:25,160 --> 00:04:29,120 Speaker 3: of the most tragic ironies of the pandemic to me 81 00:04:29,560 --> 00:04:32,680 Speaker 3: that this was the result that you had people vigorously. 82 00:04:32,760 --> 00:04:35,640 Speaker 3: It wasn't just advocating, but as you know, anyone who 83 00:04:35,640 --> 00:04:39,120 Speaker 3: disagreed was immediately vilified. You were some right wing crank. 84 00:04:39,160 --> 00:04:41,960 Speaker 3: You are a piece of garbage if you disagreed with them. 85 00:04:42,040 --> 00:04:43,840 Speaker 2: Well, I mean, I am a right wing crank. I 86 00:04:43,880 --> 00:04:45,880 Speaker 2: can imagine what would be like for you being Yeah, 87 00:04:45,880 --> 00:04:46,719 Speaker 2: I was a turncoat. 88 00:04:47,360 --> 00:04:49,400 Speaker 3: Yeah, I was ben a mc darnald. Here I was. 89 00:04:49,520 --> 00:04:52,279 Speaker 3: I was, you know, immediately cast aside. I was called 90 00:04:52,279 --> 00:04:54,760 Speaker 3: a murderer. You know, how could you do this? One 91 00:04:54,800 --> 00:04:57,840 Speaker 3: of the things that's so important that that that and 92 00:04:57,839 --> 00:04:59,760 Speaker 3: this is kind of like the original sin that I 93 00:04:59,800 --> 00:05:02,960 Speaker 3: taught talk about in the book. At the end of April, 94 00:05:03,000 --> 00:05:06,640 Speaker 3: in the beginning of May, in twenty twenty, schools began 95 00:05:06,680 --> 00:05:09,520 Speaker 3: to open in Europe. And it's not just like some 96 00:05:09,880 --> 00:05:12,560 Speaker 3: little school in Tibet somewhere with twelve kids. We're talking 97 00:05:12,560 --> 00:05:16,320 Speaker 3: about millions of kids. We're back in school. And the 98 00:05:17,279 --> 00:05:22,880 Speaker 3: European Union, the Education ministers met in May and at 99 00:05:22,920 --> 00:05:28,320 Speaker 3: that meeting they said, we have observed no negative consequences 100 00:05:28,320 --> 00:05:31,120 Speaker 3: of opening our schools. They met a second time in June, 101 00:05:31,240 --> 00:05:36,440 Speaker 3: they had the same determination. No one reported this. I 102 00:05:36,560 --> 00:05:41,200 Speaker 3: ultimately reported it myself in June. But this is kind 103 00:05:41,279 --> 00:05:44,240 Speaker 3: of an astonishing thing. This wasn't, you know, a random blog, 104 00:05:44,320 --> 00:05:47,440 Speaker 3: This wasn't an obscure medical journal. This is the European 105 00:05:47,560 --> 00:05:53,039 Speaker 3: Union and their official announcement regarding opening schools where millions 106 00:05:53,080 --> 00:05:56,320 Speaker 3: of kids were in There was there was no negative consequence. 107 00:05:56,640 --> 00:05:59,560 Speaker 3: And as far as I am aware. No one in 108 00:05:59,600 --> 00:06:03,560 Speaker 3: the US media reported on this meeting that sort of 109 00:06:03,640 --> 00:06:06,520 Speaker 3: set things on the course, you know, where we were 110 00:06:06,600 --> 00:06:08,720 Speaker 3: just kind of never to come back from that. 111 00:06:09,320 --> 00:06:11,719 Speaker 2: Okay, So I want that's an important point. 112 00:06:11,760 --> 00:06:14,719 Speaker 1: I want you to expound upon something that happened that 113 00:06:14,760 --> 00:06:18,239 Speaker 1: a lot of people have forgotten in June of twenty twenty. 114 00:06:18,360 --> 00:06:20,800 Speaker 1: And I may get the official name wrong, but it 115 00:06:20,880 --> 00:06:24,400 Speaker 1: was like the American Association of Pediatricians or something like 116 00:06:24,480 --> 00:06:27,719 Speaker 1: that said schools needed to open back up and we 117 00:06:27,760 --> 00:06:28,760 Speaker 1: could do it safely. 118 00:06:29,160 --> 00:06:30,919 Speaker 2: That was a big story in June. 119 00:06:31,640 --> 00:06:35,800 Speaker 1: And then Randy Winegarten and the American Federation of Teachers 120 00:06:36,400 --> 00:06:40,680 Speaker 1: somehow kind of got into their universe and they ended 121 00:06:40,760 --> 00:06:43,400 Speaker 1: up you probably, I'm sure it's in the book. It is. 122 00:06:43,680 --> 00:06:47,200 Speaker 1: They ended up reversing their guidance. What do you think 123 00:06:47,279 --> 00:06:51,440 Speaker 1: now when you see Randy Wingarden going around on show saying, oh, 124 00:06:51,480 --> 00:06:54,359 Speaker 1: I never said that I wanted schools to be shut down. 125 00:06:54,720 --> 00:06:56,159 Speaker 2: What does the evidence show us? 126 00:06:56,200 --> 00:06:59,560 Speaker 1: And how important was it from a science perspective for 127 00:06:59,600 --> 00:07:02,360 Speaker 1: those pediatricians? And I remember their argument being David correct 128 00:07:02,400 --> 00:07:04,719 Speaker 1: me if I'm wrong that while the virus wasn't going 129 00:07:04,800 --> 00:07:07,760 Speaker 1: to go away, kids had far more to gain by 130 00:07:07,800 --> 00:07:10,640 Speaker 1: being in school than they did to fear from the virus. 131 00:07:10,720 --> 00:07:13,520 Speaker 1: That was June of twenty twenty, and then they completely 132 00:07:13,520 --> 00:07:15,440 Speaker 1: reversed themselves under political pressure. 133 00:07:15,720 --> 00:07:18,960 Speaker 3: So what happened was the American Academy of Pediatrics put 134 00:07:18,960 --> 00:07:22,360 Speaker 3: out a guidance that was unambiguous. It said, we've got 135 00:07:22,360 --> 00:07:24,800 Speaker 3: to get kids in school. Don't even worry about six 136 00:07:24,880 --> 00:07:26,840 Speaker 3: feet of distancing. If you can do it, great, but 137 00:07:26,880 --> 00:07:29,880 Speaker 3: if you can't, don't worry. Just three feet is fine, whatever, 138 00:07:30,080 --> 00:07:33,760 Speaker 3: just get the kids in the building. Shortly thereafter, Donald 139 00:07:33,800 --> 00:07:36,960 Speaker 3: Trump tweeted we must open schools in the fall, all 140 00:07:37,040 --> 00:07:40,360 Speaker 3: caps with a bunch of exclamation points. Within days, the 141 00:07:40,400 --> 00:07:44,160 Speaker 3: American Academy of Pediatrics put out a new statement. Gone 142 00:07:44,240 --> 00:07:47,400 Speaker 3: was any mention of don't worry about distancing. Gone was 143 00:07:47,440 --> 00:07:49,400 Speaker 3: the idea of get kids in school no matter what. 144 00:07:49,680 --> 00:07:54,520 Speaker 3: And instead they mentioned money. It's really important for a 145 00:07:54,560 --> 00:07:56,480 Speaker 3: lot of money to flow to schools. And then the 146 00:07:56,520 --> 00:07:59,880 Speaker 3: second important thing about that revised statement was who all? 147 00:08:00,600 --> 00:08:03,240 Speaker 3: And it wasn't just the American Academy of Pediatrics. It 148 00:08:03,320 --> 00:08:05,800 Speaker 3: was co authored with the two largest teachers unions in 149 00:08:05,840 --> 00:08:09,280 Speaker 3: the country. It was so stark. What happened that even 150 00:08:09,400 --> 00:08:11,600 Speaker 3: NPR reported on this. But I got to tell you 151 00:08:11,680 --> 00:08:13,720 Speaker 3: this is part of a larger thing. And I talk 152 00:08:13,760 --> 00:08:15,840 Speaker 3: about this a lot in the book, where I show 153 00:08:15,880 --> 00:08:18,120 Speaker 3: this behind the scenes thing that was going on. So 154 00:08:18,240 --> 00:08:21,560 Speaker 3: as I started writing these articles challenging the sort of 155 00:08:21,840 --> 00:08:25,040 Speaker 3: dogma and the establishment view, people started reaching out to 156 00:08:25,080 --> 00:08:28,000 Speaker 3: me from around the country, parents, regular people, but also 157 00:08:28,280 --> 00:08:30,720 Speaker 3: a lot of doctors. And these are doctors, not just 158 00:08:30,760 --> 00:08:34,600 Speaker 3: some suburban pediatrician, but people who are at elite institutions, 159 00:08:34,600 --> 00:08:39,200 Speaker 3: are top university hospitals in the country. And they were saying, hey, 160 00:08:39,240 --> 00:08:41,480 Speaker 3: thank you so much for writing this. I just want 161 00:08:41,520 --> 00:08:44,920 Speaker 3: you to know I think it's terrible what's happening with kids. 162 00:08:45,120 --> 00:08:47,840 Speaker 3: I think these policies for keeping schools closed and these 163 00:08:47,880 --> 00:08:51,040 Speaker 3: mask mandates, there isn't good evidence behind this. Schools are 164 00:08:51,080 --> 00:08:53,440 Speaker 3: open in Europe, all these things. And they said, but 165 00:08:53,640 --> 00:08:56,360 Speaker 3: all this has to be off the record because they 166 00:08:56,400 --> 00:08:59,120 Speaker 3: were afraid to be cast out by their peers, or 167 00:08:59,160 --> 00:09:02,120 Speaker 3: in many instants, they were explicitly told and I have 168 00:09:02,160 --> 00:09:05,080 Speaker 3: examples of this in the book. They were explicitly told 169 00:09:05,160 --> 00:09:08,720 Speaker 3: by their superiors, by the administrators at their hospitals, do 170 00:09:08,840 --> 00:09:11,680 Speaker 3: not say anything about this. So I had this bizarre 171 00:09:11,800 --> 00:09:15,480 Speaker 3: experience where I'm observing this narrative that's going on in 172 00:09:15,520 --> 00:09:19,480 Speaker 3: the culture, this sort of manufactured consensus that wasn't real, 173 00:09:19,800 --> 00:09:23,240 Speaker 3: And I had this very lonely, strange experience where I'm 174 00:09:23,240 --> 00:09:26,400 Speaker 3: getting all these text messages and emails and I'm talking 175 00:09:26,400 --> 00:09:29,360 Speaker 3: with all these doctors who are disagreeing with this, but 176 00:09:29,480 --> 00:09:32,800 Speaker 3: the dissent was silent. I wasn't allowed to talk about it, 177 00:09:32,840 --> 00:09:34,920 Speaker 3: and they were too afraid or weren't allowed to speak 178 00:09:34,920 --> 00:09:38,520 Speaker 3: about it themselves. So my book gives what I hope 179 00:09:38,679 --> 00:09:42,559 Speaker 3: is this deep, behind the scenes account of what actually 180 00:09:42,600 --> 00:09:45,600 Speaker 3: happened during the pandemic, not the narrative that we were 181 00:09:45,640 --> 00:09:49,040 Speaker 3: all fed. And I'm hoping that when people finish reading 182 00:09:49,080 --> 00:09:52,359 Speaker 3: this that they're going to be armed with enough information 183 00:09:52,520 --> 00:09:55,640 Speaker 3: so they can actually understand and see how the gears 184 00:09:55,720 --> 00:09:59,160 Speaker 3: turn within the legacy media and how they turned where 185 00:09:59,200 --> 00:10:02,480 Speaker 3: they were working in conjunction with different institutions of power. 186 00:10:02,840 --> 00:10:04,840 Speaker 3: So it's not just for a pandemic, but for when 187 00:10:04,960 --> 00:10:08,880 Speaker 3: any other crisis happens that your listeners and they're like, oh, 188 00:10:09,000 --> 00:10:12,199 Speaker 3: I read about that in Swig's book. I see exactly 189 00:10:12,240 --> 00:10:12,880 Speaker 3: what's happening. 190 00:10:12,920 --> 00:10:15,080 Speaker 4: Now we're speaking to David's wig, the book is an 191 00:10:15,120 --> 00:10:17,600 Speaker 4: abundance of caution. I have my copy in my hands here. 192 00:10:17,720 --> 00:10:20,680 Speaker 4: American Schools, the virus, and a story of bad decisions. 193 00:10:21,480 --> 00:10:22,839 Speaker 4: One of the reason we want to have you on, David 194 00:10:22,880 --> 00:10:25,120 Speaker 4: is we like to reward people who were right when 195 00:10:25,120 --> 00:10:26,880 Speaker 4: it mattered and did good work when it mattered on 196 00:10:26,960 --> 00:10:28,920 Speaker 4: this issue. So congrats on the book, and we hope 197 00:10:28,960 --> 00:10:31,760 Speaker 4: people will will pick up a copy because I think 198 00:10:31,760 --> 00:10:34,680 Speaker 4: that it's very important. Right it's a lot easier for 199 00:10:34,800 --> 00:10:37,680 Speaker 4: people to jump on the bandwagon now, but we know 200 00:10:37,760 --> 00:10:39,560 Speaker 4: that you were early on this and you got heat 201 00:10:39,559 --> 00:10:42,000 Speaker 4: to that end. Just one that mean, Clay might have 202 00:10:42,160 --> 00:10:43,840 Speaker 4: a question for you in closing. I don't know if 203 00:10:43,840 --> 00:10:45,839 Speaker 4: you're a sports fan, you like the SEC or anything, 204 00:10:45,840 --> 00:10:47,760 Speaker 4: but that's always a possibility here at the end too. 205 00:10:48,840 --> 00:10:53,000 Speaker 4: But if you were to walk around right now, you know, 206 00:10:53,120 --> 00:10:54,640 Speaker 4: sort of tell us what it's like on the other 207 00:10:54,720 --> 00:10:56,560 Speaker 4: side of it, because they'll still talk to you. They 208 00:10:56,559 --> 00:10:58,160 Speaker 4: won't talk to us that much. Some of them listen 209 00:10:58,200 --> 00:11:01,040 Speaker 4: to the show because it is so entertaining. But generally speaking, 210 00:11:01,080 --> 00:11:03,920 Speaker 4: we have a center to write audience. If you walked 211 00:11:03,920 --> 00:11:08,040 Speaker 4: around park Slope or you walked around I don't know, 212 00:11:08,160 --> 00:11:11,360 Speaker 4: you know, Santa Monica and just talk to people who 213 00:11:12,240 --> 00:11:14,760 Speaker 4: watch I don't know CNN, read the New York Times 214 00:11:14,760 --> 00:11:17,240 Speaker 4: at the LA Times and said, hey, guys, the next 215 00:11:17,240 --> 00:11:20,480 Speaker 4: time around, we're we're all clear that we don't shut 216 00:11:20,520 --> 00:11:23,160 Speaker 4: down the schools for this, right? Are they clear on that? 217 00:11:24,080 --> 00:11:27,439 Speaker 3: I think there's been a softening. So I think that's 218 00:11:27,480 --> 00:11:30,280 Speaker 3: the good news. The bad news is is that there 219 00:11:30,360 --> 00:11:34,600 Speaker 3: is this revisionist history. There's this narrative that they've been pushing, 220 00:11:34,920 --> 00:11:36,760 Speaker 3: which is in the beginning, it was we have to 221 00:11:36,760 --> 00:11:38,560 Speaker 3: close schools, we have to do all this stuff. Eventually, 222 00:11:38,600 --> 00:11:40,960 Speaker 3: when it was so obvious that that wasn't beneficial, it 223 00:11:41,000 --> 00:11:44,040 Speaker 3: was so obvious this was only causing harm, then they shifted. 224 00:11:44,080 --> 00:11:47,280 Speaker 3: Then the narrative was, well, this is regrettable, but it 225 00:11:47,320 --> 00:11:50,079 Speaker 3: was an understandable thing. This was a fog of war decision. 226 00:11:50,120 --> 00:11:52,760 Speaker 3: It was chaos. We did the best we could. And 227 00:11:52,960 --> 00:11:55,360 Speaker 3: what I show in the book over and over is 228 00:11:55,400 --> 00:11:58,880 Speaker 3: that information was known in real time, and that example 229 00:11:58,920 --> 00:12:01,439 Speaker 3: about the European Union and is just one of many. 230 00:12:01,520 --> 00:12:04,640 Speaker 3: They knew what was happening. It was ignored or it 231 00:12:04,720 --> 00:12:07,840 Speaker 3: was dismissed. So when you asked me that question. My 232 00:12:08,120 --> 00:12:11,079 Speaker 3: fear is that when the next crisis happens and it doesn't 233 00:12:11,080 --> 00:12:13,960 Speaker 3: have to be a pandemic, that once again there's this 234 00:12:14,080 --> 00:12:16,520 Speaker 3: excuse of we're building the plane as we fly it. 235 00:12:16,559 --> 00:12:18,840 Speaker 3: We don't know. Sorry, we're doing the best we can. 236 00:12:19,240 --> 00:12:23,319 Speaker 3: Don't accept it. It's not true. Demand evidence, And that's 237 00:12:23,320 --> 00:12:25,960 Speaker 3: what my book is about at its core, is you 238 00:12:26,080 --> 00:12:29,560 Speaker 3: can't say stuff without providing evidence and over and over, 239 00:12:29,640 --> 00:12:31,520 Speaker 3: and I cite these long examples in the New York 240 00:12:31,559 --> 00:12:34,439 Speaker 3: Times and all these other media outlets. They kept quoting 241 00:12:34,480 --> 00:12:38,720 Speaker 3: all these experts saying things, but they didn't provide any evidence. 242 00:12:38,760 --> 00:12:42,760 Speaker 3: They never challenged them. Journalists shirked their core duty, which 243 00:12:42,840 --> 00:12:45,600 Speaker 3: was to actually question the statements by those in power. 244 00:12:45,800 --> 00:12:48,320 Speaker 3: So I'm hoping my book will act as a counter 245 00:12:48,400 --> 00:12:51,240 Speaker 3: as a corrective, as this is an actual, real history 246 00:12:51,240 --> 00:12:54,000 Speaker 3: of what happened, and it works as its own guidebook 247 00:12:54,000 --> 00:12:57,520 Speaker 3: to help arm people to understand how the gears turned 248 00:12:57,600 --> 00:12:59,800 Speaker 3: behind the scenes, so we can try to prevent something 249 00:12:59,800 --> 00:13:01,080 Speaker 3: like that from happening again. 250 00:13:01,760 --> 00:13:05,400 Speaker 1: Last question, you came from the left, and Buck's right. 251 00:13:05,559 --> 00:13:08,240 Speaker 1: I'm just curious from your perspective, we hope that the 252 00:13:08,320 --> 00:13:11,920 Speaker 1: historic record twenty forty years, sixty years from now is 253 00:13:12,000 --> 00:13:16,319 Speaker 1: going to be a worthy lesson how much less faith 254 00:13:16,400 --> 00:13:20,160 Speaker 1: do you personally have in the so called legacy media 255 00:13:20,640 --> 00:13:24,520 Speaker 1: than you did before COVID happened. So David Zuwig twenty 256 00:13:24,640 --> 00:13:28,559 Speaker 1: nineteen compared to David Zwig twenty twenty five, how are 257 00:13:28,559 --> 00:13:29,080 Speaker 1: you different? 258 00:13:29,480 --> 00:13:32,640 Speaker 3: I would say, if I may not just the legacy media, 259 00:13:32,760 --> 00:13:38,640 Speaker 3: but the entire left establishment, if you will, my experience 260 00:13:38,760 --> 00:13:41,120 Speaker 3: during the pandemic and what I observed and what I 261 00:13:41,200 --> 00:13:44,640 Speaker 3: experienced as a journalist actually chasing down the evidence and 262 00:13:44,679 --> 00:13:50,000 Speaker 3: the facts has completely shattered my entire worldview that I had. 263 00:13:50,040 --> 00:13:52,559 Speaker 3: I was a smug liberal. I've always been an independent 264 00:13:52,600 --> 00:13:54,719 Speaker 3: I was not like a staunch democrat, So I was 265 00:13:54,760 --> 00:13:57,840 Speaker 3: an independent minded person, but I tended to believe in 266 00:13:57,880 --> 00:14:02,680 Speaker 3: these institutions, and what I observed and experienced was the 267 00:14:02,840 --> 00:14:05,679 Speaker 3: absolute failure and these people who were the good guys. 268 00:14:05,720 --> 00:14:08,000 Speaker 3: I've recount some stuff in the book about I had 269 00:14:08,040 --> 00:14:12,120 Speaker 3: evidence from Arizona, the state itself, which differed from a 270 00:14:12,160 --> 00:14:14,520 Speaker 3: study that the CDC put out, and when I contacted 271 00:14:14,520 --> 00:14:17,640 Speaker 3: the CDC, I said, hey, I have evidence that I 272 00:14:17,679 --> 00:14:20,320 Speaker 3: have data that's differing from what you have in your study, 273 00:14:20,560 --> 00:14:22,320 Speaker 3: and I knew what they had was wrong because I 274 00:14:22,360 --> 00:14:24,960 Speaker 3: had the official data, and their response to me was, 275 00:14:25,760 --> 00:14:29,360 Speaker 3: we look through it, there are no errors. When you 276 00:14:29,480 --> 00:14:32,280 Speaker 3: can't come back from something like that, and like I 277 00:14:32,320 --> 00:14:34,640 Speaker 3: remember just like kind of hunched over with like a 278 00:14:34,680 --> 00:14:37,400 Speaker 3: migraine that night talking to my wife. So to answer 279 00:14:37,480 --> 00:14:42,920 Speaker 3: your question, I'm I just feel entirely differently about how 280 00:14:42,960 --> 00:14:47,680 Speaker 3: the world works, and you just can't recover from something 281 00:14:47,720 --> 00:14:49,560 Speaker 3: like that when you know, you would think something like 282 00:14:49,600 --> 00:14:52,640 Speaker 3: the NSA or Defense Department might pull some type of 283 00:14:52,640 --> 00:14:55,400 Speaker 3: BS on that this is a health department and the 284 00:14:55,440 --> 00:14:59,040 Speaker 3: CDC they were lying through their teeth right to me 285 00:15:00,200 --> 00:15:03,080 Speaker 3: in email, saying there were no errors when I knew 286 00:15:03,680 --> 00:15:05,280 Speaker 3: they knew that I knew, and I knew that they 287 00:15:05,360 --> 00:15:07,840 Speaker 3: knew that I knew that this was complete BS and 288 00:15:07,880 --> 00:15:10,760 Speaker 3: they didn't care. You can't recover from something like that. 289 00:15:10,960 --> 00:15:14,000 Speaker 3: So my book is filled with kind of that type 290 00:15:14,000 --> 00:15:18,040 Speaker 3: of stuff where this was this was almost like a 291 00:15:18,040 --> 00:15:20,840 Speaker 3: cathartic endeavor where I had to set the record straight 292 00:15:20,920 --> 00:15:24,200 Speaker 3: so people, and hopefully not just your audience, though I 293 00:15:24,240 --> 00:15:26,200 Speaker 3: know they're going to be receptive, I think, but I'm 294 00:15:26,240 --> 00:15:29,880 Speaker 3: hoping that I can persuade some independent minded people as well. 295 00:15:30,000 --> 00:15:32,400 Speaker 3: That's my real goal. It is like to help people 296 00:15:32,560 --> 00:15:33,720 Speaker 3: see what's really going on. 297 00:15:35,480 --> 00:15:38,200 Speaker 4: David's wag everybody in abundance of caution, David, thank you 298 00:15:38,280 --> 00:15:38,800 Speaker 4: so much. 299 00:15:39,240 --> 00:15:39,480 Speaker 2: Yeah. 300 00:15:39,520 --> 00:15:41,760 Speaker 4: The Preborn Network of Clinics has a team of people 301 00:15:41,760 --> 00:15:43,800 Speaker 4: who live by a mission to save the lives of 302 00:15:43,920 --> 00:15:47,320 Speaker 4: unborn babies. They see the access and widespread availability of 303 00:15:47,320 --> 00:15:50,560 Speaker 4: abortions for pregnant women debating such a decision, and Preborn 304 00:15:50,600 --> 00:15:52,800 Speaker 4: does all they can to convince a pregnant mother there's 305 00:15:52,800 --> 00:15:55,760 Speaker 4: a better option than abortion, give life to that tiny 306 00:15:55,840 --> 00:15:58,640 Speaker 4: baby growing inside them. They accomplish this with just a 307 00:15:58,720 --> 00:16:01,600 Speaker 4: twenty eight dollars exp a dollar figure you and I 308 00:16:01,680 --> 00:16:04,520 Speaker 4: can donate, knowing it well may save a life, and 309 00:16:04,560 --> 00:16:08,120 Speaker 4: so often it does. Preborn operates clinics and communities across 310 00:16:08,200 --> 00:16:10,560 Speaker 4: our nation where abortion rates are high. As they do 311 00:16:10,640 --> 00:16:13,920 Speaker 4: this on purpose, the resources and services they offered, including 312 00:16:13,960 --> 00:16:17,280 Speaker 4: that ultrasound to meet that unborn baby, really gives mom 313 00:16:17,320 --> 00:16:20,320 Speaker 4: another option, a better one. In twenty years time, they've 314 00:16:20,360 --> 00:16:24,120 Speaker 4: saved three hundred thousand plus lives to date. To donate securely, 315 00:16:24,240 --> 00:16:27,720 Speaker 4: dial pound two fifty and say the keyword baby. That's 316 00:16:27,760 --> 00:16:31,520 Speaker 4: pound two fifty Say Baby, or visit preborn dot com, 317 00:16:31,520 --> 00:16:37,160 Speaker 4: slash buck preborn dot com slash b Uck sponsored by Preboard. 318 00:16:37,520 --> 00:16:43,080 Speaker 5: Clay Travison, Buck Sexton mic drops that never sounded so good. 319 00:16:43,720 --> 00:16:47,040 Speaker 5: Find them on the free iHeartRadio app or wherever you 320 00:16:47,160 --> 00:16:48,280 Speaker 5: get your podcasts. 321 00:16:49,520 --> 00:16:51,240 Speaker 4: All right, we got a quick turn around here, so 322 00:16:51,400 --> 00:16:54,200 Speaker 4: just want to invite you all the Please, first of all, 323 00:16:54,240 --> 00:16:58,200 Speaker 4: ignore Ginger barking in the background. She's so sweet, but 324 00:16:58,360 --> 00:17:00,760 Speaker 4: when her mommy leaves and mommy's taking the baby out 325 00:17:00,800 --> 00:17:03,800 Speaker 4: for a walk and doesn't bring Ginger, Ginger gets play 326 00:17:04,520 --> 00:17:08,760 Speaker 4: very jelly, very jealous, very quickly. So she gets it's amazing. 327 00:17:08,920 --> 00:17:11,520 Speaker 4: She's very sweet to the baby, but she expects to 328 00:17:11,560 --> 00:17:12,760 Speaker 4: go wherever the baby goes. 329 00:17:12,800 --> 00:17:13,919 Speaker 2: Now, and we've noticed this. 330 00:17:13,960 --> 00:17:16,680 Speaker 4: So if you heard that before and she's I'm now 331 00:17:16,760 --> 00:17:19,439 Speaker 4: playing fetch with the dog while doing radio, we call 332 00:17:19,480 --> 00:17:24,400 Speaker 4: that multitasking. But please send us your talkbacks and and 333 00:17:24,840 --> 00:17:26,760 Speaker 4: call in eight hundred and two A two two eight 334 00:17:26,800 --> 00:17:29,520 Speaker 4: A two. You know that number, also our vip emails. 335 00:17:29,840 --> 00:17:33,480 Speaker 4: Let's give that a go. So all of that we 336 00:17:33,520 --> 00:17:35,640 Speaker 4: want to hear from you, and we're going to dive 337 00:17:35,680 --> 00:17:39,600 Speaker 4: into some more news here momentarily I did think it's 338 00:17:39,640 --> 00:17:42,960 Speaker 4: interesting that David's why came home with us there. The 339 00:17:43,000 --> 00:17:46,520 Speaker 4: fact that they shut down schools is just unforgivable because 340 00:17:46,560 --> 00:17:49,640 Speaker 4: they knew. It's a little bit like the Biden dementia thing. 341 00:17:50,240 --> 00:17:50,800 Speaker 2: They knew. 342 00:17:51,560 --> 00:17:53,840 Speaker 4: They didn't know necessarily about masks, as it was a 343 00:17:53,840 --> 00:17:55,840 Speaker 4: religious belief for them, but they knew that the school 344 00:17:55,880 --> 00:17:58,280 Speaker 4: shut down thing, but it was just for the teachers' unions, 345 00:17:58,359 --> 00:18:02,600 Speaker 4: it was just for the Democrats to keep their base happy. Look, 346 00:18:02,640 --> 00:18:05,040 Speaker 4: everybody should feel safe in their own home, and Saber 347 00:18:05,080 --> 00:18:08,399 Speaker 4: can help with that. There are family owned business decades 348 00:18:08,440 --> 00:18:11,720 Speaker 4: of doing this, fifty years of home defense and protection 349 00:18:11,840 --> 00:18:14,240 Speaker 4: tools for you. And this is on the non lethal 350 00:18:14,280 --> 00:18:16,399 Speaker 4: side of things. As you know, I like to have 351 00:18:16,480 --> 00:18:19,600 Speaker 4: force escalation options. I have lethal options here, I have 352 00:18:19,680 --> 00:18:23,600 Speaker 4: non lethal options courtesy of Saber. But Carrie and Laura, 353 00:18:23,720 --> 00:18:25,639 Speaker 4: they also really like to know that if they want 354 00:18:25,680 --> 00:18:27,399 Speaker 4: to carry around pepper spray, if they want to have 355 00:18:27,440 --> 00:18:31,399 Speaker 4: the pepper projectile launcher handy, it's a non lethal option 356 00:18:31,560 --> 00:18:34,439 Speaker 4: that can deal with threats to your home, your safety 357 00:18:34,520 --> 00:18:38,560 Speaker 4: or security. Saber has safeguarded hundreds of thousands of Americans 358 00:18:38,560 --> 00:18:41,600 Speaker 4: with their products. Their pepper launcher is the best in 359 00:18:41,680 --> 00:18:46,080 Speaker 4: the business, except no imitations. It's spelled Sabri. Go to 360 00:18:46,119 --> 00:18:50,200 Speaker 4: Saber radio dot com. Sabri saberradio dot com. Say fifteen 361 00:18:50,240 --> 00:18:53,040 Speaker 4: percent on that website. Or call eight four four a 362 00:18:53,160 --> 00:18:57,240 Speaker 4: two four safe. That's eight four four eight two four safe. 363 00:18:57,640 --> 00:19:03,720 Speaker 1: Welcome back in Clay Travis Sexton Show. There is now 364 00:19:03,760 --> 00:19:08,879 Speaker 1: another legal dispute that is underway. Harvard is reportedly going 365 00:19:08,960 --> 00:19:12,600 Speaker 1: to sue Trump and the Trump administration. 366 00:19:12,359 --> 00:19:15,439 Speaker 2: Over the withholding of billions. 367 00:19:14,800 --> 00:19:19,320 Speaker 1: Of dollars in taxpayer dollars that have otherwise been going 368 00:19:19,800 --> 00:19:25,800 Speaker 1: to the university. 369 00:19:23,720 --> 00:19:26,360 Speaker 2: Harvard, but also a lot of other universities. 370 00:19:26,480 --> 00:19:31,000 Speaker 1: And I grabbed this stat and credit New York Times 371 00:19:31,080 --> 00:19:34,040 Speaker 1: where it was, and I shared it on social media 372 00:19:34,119 --> 00:19:36,480 Speaker 1: the other day. I don't know if you have seen 373 00:19:36,560 --> 00:19:40,439 Speaker 1: this yet, Buck, but we are going to spend, or 374 00:19:40,480 --> 00:19:45,440 Speaker 1: we did spend in twenty twenty three, sixty billion dollars 375 00:19:46,040 --> 00:19:52,440 Speaker 1: in taxpayer money more to colleges and universities, sixty billion dollars. 376 00:19:52,600 --> 00:19:55,159 Speaker 1: Harvard is getting billions of that, but the money is 377 00:19:55,200 --> 00:19:59,840 Speaker 1: being spent many different universities across the country. And this 378 00:20:00,000 --> 00:20:05,639 Speaker 1: this was thirty times what they spent in nineteen fifty three. 379 00:20:06,240 --> 00:20:11,320 Speaker 1: If you account for inflation. So there's a graphic, and 380 00:20:12,240 --> 00:20:14,440 Speaker 1: I shared the graphic and the New York Times had 381 00:20:14,480 --> 00:20:17,600 Speaker 1: it up, and you look at it, and what we 382 00:20:17,640 --> 00:20:23,280 Speaker 1: are spending on universities blew my mind. Here's a question 383 00:20:23,359 --> 00:20:27,000 Speaker 1: for you, because I would put this in the same category. Now, 384 00:20:27,040 --> 00:20:30,000 Speaker 1: the defense of this is going to be saying, okay, well, 385 00:20:30,040 --> 00:20:34,000 Speaker 1: they're doing research, and we want them doing research, development, 386 00:20:34,640 --> 00:20:38,600 Speaker 1: all these different things. If it's such a great idea, 387 00:20:38,960 --> 00:20:42,520 Speaker 1: why aren't the universities funding their own research and development? 388 00:20:42,960 --> 00:20:45,640 Speaker 1: Why is it the responsibility of you and me and 389 00:20:45,720 --> 00:20:47,920 Speaker 1: so many of you out there listening to us right 390 00:20:48,000 --> 00:20:51,560 Speaker 1: now to not only potentially be paying tuition and room 391 00:20:51,600 --> 00:20:54,880 Speaker 1: and board that is exorbitant for many of these colleges 392 00:20:54,880 --> 00:20:59,639 Speaker 1: and universities nationwide, but for us also to be funding 393 00:21:00,119 --> 00:21:04,040 Speaker 1: with our dollars huge amounts of the bureaucracy that exist 394 00:21:04,119 --> 00:21:07,080 Speaker 1: at these universities. I actually give Trump credit. I never 395 00:21:07,119 --> 00:21:09,800 Speaker 1: really thought about it before. I didn't know the dollars 396 00:21:09,840 --> 00:21:12,240 Speaker 1: were this extensive. Did you know that we were given 397 00:21:12,359 --> 00:21:15,720 Speaker 1: sixty billion dollars to colleges and universities? 398 00:21:15,760 --> 00:21:19,359 Speaker 4: And why should we be doing this? Well, you know 399 00:21:19,400 --> 00:21:21,080 Speaker 4: one thing that you've heard a lot about is this 400 00:21:21,119 --> 00:21:26,320 Speaker 4: is for research for R and D? Okay, like what, yeah, 401 00:21:26,359 --> 00:21:28,639 Speaker 4: I want to know that if we're hearing this, because 402 00:21:29,040 --> 00:21:31,200 Speaker 4: there's a lot that you can say is research. I mean, 403 00:21:31,280 --> 00:21:34,560 Speaker 4: is this the kind of research where we're spending money 404 00:21:34,600 --> 00:21:37,359 Speaker 4: to find out the mating habits of you know, TC 405 00:21:37,520 --> 00:21:41,120 Speaker 4: flies or something like what exactly is this money being 406 00:21:41,119 --> 00:21:43,240 Speaker 4: spent on at these schools? Or even worse, is it 407 00:21:43,640 --> 00:21:46,400 Speaker 4: looking at is it just a lot of people being 408 00:21:46,480 --> 00:21:51,720 Speaker 4: hired to do sociology research to for the progress of 409 00:21:51,760 --> 00:21:54,760 Speaker 4: DEI initiatives? I mean, we have no idea, right, So 410 00:21:54,840 --> 00:21:57,359 Speaker 4: your first point, Clay, did I know or do I 411 00:21:57,359 --> 00:22:00,240 Speaker 4: think the general public had any idea how much money 412 00:22:00,320 --> 00:22:01,920 Speaker 4: was going to the university? I knew the answer was 413 00:22:01,960 --> 00:22:04,240 Speaker 4: that there was money, and it was considerable. I didn't 414 00:22:04,240 --> 00:22:06,879 Speaker 4: know what sixty billion dollars that's hot. And the second 415 00:22:06,880 --> 00:22:08,480 Speaker 4: part of it is, well, this is where you get 416 00:22:08,480 --> 00:22:12,440 Speaker 4: more into the Doge piece. What exactly is this money 417 00:22:12,480 --> 00:22:15,000 Speaker 4: being spent on? And then you can add to that 418 00:22:15,119 --> 00:22:19,439 Speaker 4: We'll hold on a second, why are we to fund 419 00:22:19,480 --> 00:22:23,199 Speaker 4: these universities? We've already decided that the government's going to 420 00:22:23,200 --> 00:22:25,720 Speaker 4: backstop the loans, so now everyone can get a loan 421 00:22:26,119 --> 00:22:28,880 Speaker 4: to go. I'll just be honest to a worthless four 422 00:22:28,960 --> 00:22:32,720 Speaker 4: year college degree at a play or whatever, at a 423 00:22:32,760 --> 00:22:37,880 Speaker 4: place that does not have any incentive really to make 424 00:22:37,920 --> 00:22:40,080 Speaker 4: sure that it's graduates are getting jobs that can help 425 00:22:40,119 --> 00:22:42,160 Speaker 4: them pay back the loans, because it doesn't matter to them. 426 00:22:42,240 --> 00:22:45,080 Speaker 4: It's not their problem, right. The colleges and universities have 427 00:22:45,200 --> 00:22:51,040 Speaker 4: no incentive to address what the job market actually looks 428 00:22:51,080 --> 00:22:52,560 Speaker 4: like them. I'm saying they don't do any of this, 429 00:22:52,720 --> 00:22:56,560 Speaker 4: but from the macro view, it's just there's no skin 430 00:22:56,600 --> 00:22:59,119 Speaker 4: in the game for the colleges and universities. And this 431 00:22:59,160 --> 00:23:01,480 Speaker 4: is why the tuition keeps going up because why not 432 00:23:02,040 --> 00:23:06,040 Speaker 4: because it's not their problem. The government is backstopping this stuff, 433 00:23:06,800 --> 00:23:09,000 Speaker 4: and anybody can get these loans. So that's part one 434 00:23:09,040 --> 00:23:11,479 Speaker 4: of it, or rather that's part three of it. And 435 00:23:11,520 --> 00:23:13,679 Speaker 4: I just think that then you add to this the 436 00:23:13,720 --> 00:23:17,320 Speaker 4: ideological realization that we all have had for a long time, 437 00:23:17,720 --> 00:23:20,600 Speaker 4: but just what factories of insanity these places are? And 438 00:23:20,640 --> 00:23:23,560 Speaker 4: I think that the campus pro Hamas stuff was just 439 00:23:23,600 --> 00:23:26,439 Speaker 4: the latest iteration of this. But I mean, I had 440 00:23:26,440 --> 00:23:28,480 Speaker 4: friends who were in law school Clay during the George 441 00:23:28,520 --> 00:23:31,520 Speaker 4: Floyd stuff and what was law school and what was 442 00:23:31,560 --> 00:23:35,760 Speaker 4: being sent around in law schools was nuts. Yeah, you 443 00:23:35,760 --> 00:23:37,639 Speaker 4: know you want to talk about do you do you 444 00:23:37,680 --> 00:23:40,160 Speaker 4: think any of them thought that Derek Chauvin should get 445 00:23:40,200 --> 00:23:40,800 Speaker 4: due process? 446 00:23:40,880 --> 00:23:42,840 Speaker 2: This is law schools. Yeah, of course, of course not. 447 00:23:43,880 --> 00:23:46,879 Speaker 1: I also think this ties in and I'm going to 448 00:23:46,920 --> 00:23:51,280 Speaker 1: start hammering this really aggressively. In PR said that Trump 449 00:23:51,520 --> 00:23:54,960 Speaker 1: was going to fire Pete Hegseth. You can go read 450 00:23:55,040 --> 00:23:58,040 Speaker 1: INPR dot org or INPR dot com or whatever the 451 00:23:58,040 --> 00:24:01,320 Speaker 1: heck their website is. It is full on left wing 452 00:24:01,359 --> 00:24:07,359 Speaker 1: propaganda daily. We compete with them. Why should regardless of 453 00:24:07,359 --> 00:24:11,640 Speaker 1: what your politics are, why should in PR be getting 454 00:24:11,960 --> 00:24:15,840 Speaker 1: millions and millions of dollars in government funding? We don't 455 00:24:15,840 --> 00:24:19,159 Speaker 1: get millions and millions of dollars in government funding. We 456 00:24:19,240 --> 00:24:23,240 Speaker 1: don't get favorable treatment when it comes to AD dollars 457 00:24:23,320 --> 00:24:27,800 Speaker 1: being allocated basically from the federal government. If we're directly 458 00:24:27,840 --> 00:24:31,720 Speaker 1: competing WITHINPR, which we are. Now, you know, you guys 459 00:24:31,720 --> 00:24:34,640 Speaker 1: have brains, so you probably don't listen to MPR that often. 460 00:24:35,040 --> 00:24:37,520 Speaker 1: But in many of the five hundred and fifty some 461 00:24:37,640 --> 00:24:40,280 Speaker 1: odd stations that we are on on a daily basis, 462 00:24:40,600 --> 00:24:44,480 Speaker 1: there are a lot of stations out there that will 463 00:24:44,880 --> 00:24:48,359 Speaker 1: be top competing options with us will be MPR. There 464 00:24:48,359 --> 00:24:50,240 Speaker 1: are lots of places out there where you might live 465 00:24:50,320 --> 00:24:52,160 Speaker 1: or you might not get this show, and you get MPR. 466 00:24:53,400 --> 00:24:55,840 Speaker 1: Why is that not one of the first things that 467 00:24:56,000 --> 00:24:59,320 Speaker 1: they would cut to your point on dogebuck and if 468 00:24:59,400 --> 00:25:01,800 Speaker 1: NPR as well, we're not getting that much money, and 469 00:25:01,840 --> 00:25:04,000 Speaker 1: they make the argument that said, Okay, why are you 470 00:25:04,040 --> 00:25:06,760 Speaker 1: getting any at all? And you are because it's coming 471 00:25:06,800 --> 00:25:10,159 Speaker 1: through local advertisements and everything else. I don't think a 472 00:25:10,280 --> 00:25:15,359 Speaker 1: single red scent of taxpayer money should go to subsidize 473 00:25:15,600 --> 00:25:20,000 Speaker 1: NPR's coverage in any way of their media outlet. In 474 00:25:20,000 --> 00:25:21,320 Speaker 1: the same way that I don't think we should be 475 00:25:21,320 --> 00:25:24,639 Speaker 1: spending millions of dollars on Politico subscriptions or anything else. 476 00:25:25,160 --> 00:25:27,040 Speaker 1: We shouldn't be giving them a penny. 477 00:25:27,800 --> 00:25:31,280 Speaker 4: Yeah, well, why, I mean, sure, the government, the government 478 00:25:31,320 --> 00:25:33,719 Speaker 4: in general, you don't really want in the business of business. 479 00:25:33,800 --> 00:25:37,400 Speaker 4: You want to let the American people do that. Would 480 00:25:37,440 --> 00:25:42,720 Speaker 4: we want the government to create a really bad smartphone company. No, 481 00:25:42,880 --> 00:25:45,479 Speaker 4: I think that there's plenty of people already in that space. 482 00:25:45,560 --> 00:25:47,520 Speaker 4: There are plenty of people in the media space. We 483 00:25:47,800 --> 00:25:53,080 Speaker 4: don't need incumbents who are little piggies at the trough 484 00:25:53,280 --> 00:25:56,359 Speaker 4: of government funding to continue to do what they've been doing. 485 00:25:56,440 --> 00:25:59,240 Speaker 4: So I completely completely agree with that. And on that 486 00:25:59,320 --> 00:26:02,200 Speaker 4: colleges and you know, diversity side of things, it's very clear. 487 00:26:02,200 --> 00:26:05,280 Speaker 4: I mean, Harvard is just the most prominent example. Understand this, everyone, 488 00:26:05,600 --> 00:26:08,040 Speaker 4: Harvard has been violating the Constitution for years with its 489 00:26:08,040 --> 00:26:11,880 Speaker 4: omissions policies. Now you could say at the time Harvard 490 00:26:11,880 --> 00:26:15,719 Speaker 4: thought they were operating within Okay, fine, I'm not saying 491 00:26:15,760 --> 00:26:18,320 Speaker 4: that we can hold them responsible after the fact in 492 00:26:18,359 --> 00:26:20,800 Speaker 4: a legal sense, but I do think it's worth noting 493 00:26:20,840 --> 00:26:24,560 Speaker 4: that Harvard has engaged in a long practice of discrimination. 494 00:26:24,920 --> 00:26:27,760 Speaker 4: And when it comes to discrimination, just look at Section 495 00:26:27,800 --> 00:26:31,600 Speaker 4: five of the Voting Rights Act, places end up being 496 00:26:31,640 --> 00:26:35,879 Speaker 4: punished or being watched very closely for historical discrimination, in 497 00:26:35,880 --> 00:26:37,040 Speaker 4: some cases for. 498 00:26:37,200 --> 00:26:38,880 Speaker 2: Decades or more. 499 00:26:39,040 --> 00:26:42,240 Speaker 4: Right, I mean, this is the reality of discrimination law, 500 00:26:42,680 --> 00:26:45,080 Speaker 4: is that once you find a place that has discriminated 501 00:26:45,480 --> 00:26:48,600 Speaker 4: under the law, they are under a dark cloud of 502 00:26:48,640 --> 00:26:50,400 Speaker 4: suspicion for a very long time. 503 00:26:50,520 --> 00:26:51,440 Speaker 2: Legally speaking. 504 00:26:51,600 --> 00:26:53,520 Speaker 4: Mind you look at Section five of the Voting Rights 505 00:26:53,560 --> 00:26:57,159 Speaker 4: Act a perfect example of what I'm talking about. Although 506 00:26:57,160 --> 00:26:58,840 Speaker 4: I think now that Supreme Court's even looked at that 507 00:26:58,880 --> 00:27:00,960 Speaker 4: and changed the formula, but put that aside. 508 00:27:00,680 --> 00:27:01,240 Speaker 2: You know what I mean? 509 00:27:01,280 --> 00:27:05,359 Speaker 4: In general, I think Clay on this issue, Harvard has 510 00:27:05,880 --> 00:27:09,320 Speaker 4: shown everybody that the plan is to continue to get 511 00:27:09,359 --> 00:27:12,159 Speaker 4: the money, but to not have to abide by federal 512 00:27:12,160 --> 00:27:15,760 Speaker 4: guidelines or so why should you have your cake in 513 00:27:15,800 --> 00:27:18,520 Speaker 4: either to Harvard play amen, it's effectively a hedge fund 514 00:27:18,560 --> 00:27:19,640 Speaker 4: that also has classes. 515 00:27:19,680 --> 00:27:21,480 Speaker 2: At this point, it's kind an you know what is it? 516 00:27:21,520 --> 00:27:23,080 Speaker 2: An eighty billion, sixty billion. 517 00:27:22,840 --> 00:27:26,560 Speaker 1: Fifty three billion dollar endowment as most recently we don't 518 00:27:26,600 --> 00:27:28,520 Speaker 1: know what it's been for like the last year in change. 519 00:27:28,520 --> 00:27:32,600 Speaker 1: But to your point, when you take federal dollars, you 520 00:27:32,680 --> 00:27:35,920 Speaker 1: agree to be bound in some way by federal guidelines, 521 00:27:36,359 --> 00:27:40,000 Speaker 1: and the most basic of federal guidelines is don't discriminate 522 00:27:40,040 --> 00:27:44,040 Speaker 1: on the basis of race, and make sure that everybody 523 00:27:44,119 --> 00:27:47,119 Speaker 1: has an equal opportunity to be educated and they're not 524 00:27:47,200 --> 00:27:50,520 Speaker 1: going to be discriminated against based on ethnicity, religion, anything else. 525 00:27:50,560 --> 00:27:55,720 Speaker 1: They failed during the protests surrounding the October seventh related incidents, 526 00:27:55,760 --> 00:27:59,160 Speaker 1: and many other universities failed as well. I told our 527 00:27:59,200 --> 00:28:02,359 Speaker 1: team to get Larry arn There was a great article 528 00:28:02,840 --> 00:28:06,159 Speaker 1: interviewing him in the Wall Street Journal weekend edition. He 529 00:28:06,280 --> 00:28:10,160 Speaker 1: is the president of Hillsdale College. Hillsdale made the decision 530 00:28:10,680 --> 00:28:14,840 Speaker 1: we want our educational mission to be completely independent of 531 00:28:14,880 --> 00:28:18,000 Speaker 1: the United States government, and so we are not going 532 00:28:18,040 --> 00:28:21,440 Speaker 1: to take any of their dollars. Hillsdale has way less 533 00:28:21,440 --> 00:28:24,359 Speaker 1: money than Harvard does, and they have managed to run 534 00:28:24,400 --> 00:28:29,560 Speaker 1: their university independently without needing federal dollars. Why wouldn't that 535 00:28:29,640 --> 00:28:33,280 Speaker 1: be the standard for Harvard unless buck they were feeding 536 00:28:33,440 --> 00:28:36,920 Speaker 1: at the trough of special interest dollars. They've got a 537 00:28:36,960 --> 00:28:40,160 Speaker 1: fifty three billion dollar endowment. They can't afford to run 538 00:28:40,280 --> 00:28:43,760 Speaker 1: their university without taxpayer subsidies. 539 00:28:45,320 --> 00:28:48,400 Speaker 4: You would think you would think, you know, Harvard. At 540 00:28:48,400 --> 00:28:51,000 Speaker 4: one point, the reporting was that they were planning to 541 00:28:51,160 --> 00:28:54,600 Speaker 4: just batten down the hatches and do without the federal funds. 542 00:28:54,600 --> 00:28:57,000 Speaker 4: But I think they've realized, well, hold on it. It 543 00:28:57,040 --> 00:28:58,480 Speaker 4: would be for a number of years. 544 00:28:58,480 --> 00:28:58,640 Speaker 2: Here. 545 00:28:58,680 --> 00:29:00,720 Speaker 4: You start to do that math, and those hundreds of 546 00:29:00,720 --> 00:29:04,120 Speaker 4: millions of dollars feel like it's it actually adds up, 547 00:29:04,120 --> 00:29:07,560 Speaker 4: even for Harvard. So this is this is a moment 548 00:29:07,640 --> 00:29:09,240 Speaker 4: that we've been waiting for on the RITE for a 549 00:29:09,240 --> 00:29:12,800 Speaker 4: long time, which is just more accountability. These universities have 550 00:29:12,880 --> 00:29:17,840 Speaker 4: been given tremendous preferential treatment from them. This preferential treatment, right, 551 00:29:17,840 --> 00:29:21,640 Speaker 4: I mean, whether it's about the tax tax policy supporting 552 00:29:22,080 --> 00:29:24,480 Speaker 4: the student loans with government backstopping, which I think is 553 00:29:24,520 --> 00:29:26,880 Speaker 4: a bad idea. Now even the discussion although you know 554 00:29:26,880 --> 00:29:30,280 Speaker 4: Trump is going to start Trump's Department of Education, not 555 00:29:30,320 --> 00:29:32,479 Speaker 4: a Department of educator, who's behind the loans? 556 00:29:32,520 --> 00:29:36,040 Speaker 1: Who does the loans student laws? They're going to start Underwright. Yeah, 557 00:29:36,080 --> 00:29:37,959 Speaker 1: it's a good question. I'm wondering who does the collection 558 00:29:38,120 --> 00:29:38,280 Speaker 1: or that. 559 00:29:38,400 --> 00:29:39,080 Speaker 2: I don't know. 560 00:29:39,120 --> 00:29:43,080 Speaker 4: But anyway, they're going to start collecting money again because 561 00:29:43,120 --> 00:29:44,720 Speaker 4: it was like Doe, that would actually mean they do 562 00:29:44,760 --> 00:29:46,040 Speaker 4: something that they're supposed to do. 563 00:29:46,960 --> 00:29:47,240 Speaker 2: Yeah. 564 00:29:47,280 --> 00:29:50,080 Speaker 4: So I think that you're going to see more people 565 00:29:50,080 --> 00:29:52,120 Speaker 4: paying attention to this issue than they have in a 566 00:29:52,120 --> 00:29:55,160 Speaker 4: while because of that. And I also think that the 567 00:29:55,280 --> 00:30:01,719 Speaker 4: universities have betrayed the the man that they've implicitly been 568 00:30:01,760 --> 00:30:04,560 Speaker 4: given by the American people, which is to educate future 569 00:30:04,640 --> 00:30:07,000 Speaker 4: leadership and make our people as smart and competitive in 570 00:30:07,040 --> 00:30:10,400 Speaker 4: a global marketplace as possible. Instead, they're educating a ton 571 00:30:10,400 --> 00:30:13,760 Speaker 4: of foreigners. Okay, start with that. Because the foreigners pay 572 00:30:13,800 --> 00:30:16,720 Speaker 4: full freight, no help with the tuition, whatever. You go 573 00:30:16,800 --> 00:30:19,280 Speaker 4: to a lot of the elite universities and everybody's from 574 00:30:19,320 --> 00:30:20,440 Speaker 4: Beijing in Dubai. 575 00:30:20,600 --> 00:30:21,400 Speaker 2: This is just the truth. 576 00:30:21,520 --> 00:30:25,600 Speaker 4: Not everybody, but huge percentages of these classes, and they've 577 00:30:25,640 --> 00:30:28,880 Speaker 4: become left wing and doctrination factories that are churning out 578 00:30:28,960 --> 00:30:32,040 Speaker 4: kids who don't know anything that's not good, so they're 579 00:30:32,080 --> 00:30:32,880 Speaker 4: getting slapped down. 580 00:30:32,920 --> 00:30:33,360 Speaker 3: I like it. 581 00:30:34,080 --> 00:30:36,720 Speaker 1: I also would point out I think there are massive 582 00:30:36,800 --> 00:30:40,800 Speaker 1: lawsuits to be filed here. Some of these education loans 583 00:30:41,120 --> 00:30:45,080 Speaker 1: are indefensible. For instance, you shouldn't be able to take 584 00:30:45,120 --> 00:30:47,640 Speaker 1: out a loan of two hundred thousand dollars to get 585 00:30:47,680 --> 00:30:52,080 Speaker 1: a social work degree. You can never pay it back 586 00:30:52,320 --> 00:30:54,760 Speaker 1: when your job. And look, I appreciate the people who 587 00:30:54,840 --> 00:30:57,360 Speaker 1: take jobs that don't pay that well, but the fact 588 00:30:57,360 --> 00:31:01,400 Speaker 1: that these universities would loan somebody fuck two hundred grand 589 00:31:01,400 --> 00:31:02,960 Speaker 1: to get a job where you're going to make forty 590 00:31:03,000 --> 00:31:05,880 Speaker 1: grand a year, it doesn't ever add up that you 591 00:31:06,040 --> 00:31:07,680 Speaker 1: can ever pay these things off. 592 00:31:07,680 --> 00:31:09,320 Speaker 2: To me. They're predatory. 593 00:31:09,440 --> 00:31:11,200 Speaker 1: Also, I think this is a function of Hey, we 594 00:31:11,200 --> 00:31:15,880 Speaker 1: should be teaching actual basic math and investment and understanding 595 00:31:15,920 --> 00:31:18,960 Speaker 1: in schools because the people who agree to these loans, 596 00:31:19,440 --> 00:31:21,840 Speaker 1: I don't think they have any concept of how impossible 597 00:31:21,880 --> 00:31:23,720 Speaker 1: it is to ever pay them back. Right, if you're 598 00:31:23,720 --> 00:31:27,520 Speaker 1: a lawyer or doctor, someone getting a master's degree in 599 00:31:27,560 --> 00:31:29,080 Speaker 1: business or something like that. 600 00:31:28,960 --> 00:31:30,880 Speaker 2: You would I wouldn't. I wouldn't even tell people to 601 00:31:30,880 --> 00:31:31,040 Speaker 2: get it. 602 00:31:31,280 --> 00:31:33,280 Speaker 4: Look, I looked at getting an MBA and from fancy 603 00:31:33,320 --> 00:31:34,880 Speaker 4: places and I didn't do it. Now I'm sitting here 604 00:31:34,920 --> 00:31:37,360 Speaker 4: with Clay because I wanted to media instead. I think 605 00:31:37,400 --> 00:31:40,920 Speaker 4: the advance, I think advanced degrees. People need far more 606 00:31:41,520 --> 00:31:46,880 Speaker 4: honesty in this discussion. Most advanced degrees are not worth 607 00:31:47,000 --> 00:31:51,480 Speaker 4: very much, and a lot of advanced degrees are truly worthless. 608 00:31:51,480 --> 00:31:53,280 Speaker 4: In fact, they put you deep in the hole. I'll 609 00:31:53,320 --> 00:31:58,480 Speaker 4: perfect example, you journalism. Don't ever get a master's in journalism. 610 00:31:58,880 --> 00:32:01,360 Speaker 4: It is a waste. I don't even know how journalism 611 00:32:01,360 --> 00:32:03,920 Speaker 4: schools still exist. Like that's a whole. It is a 612 00:32:03,960 --> 00:32:07,440 Speaker 4: waste of your time. And a lot of master's degrees 613 00:32:07,480 --> 00:32:10,520 Speaker 4: in the humanities unless you are convinced you're going to 614 00:32:10,520 --> 00:32:12,840 Speaker 4: get a teaching job. That is the only thing that 615 00:32:12,880 --> 00:32:16,120 Speaker 4: they are worthwhile to do, and those are very hard 616 00:32:16,160 --> 00:32:17,640 Speaker 4: to come by, right, Clay, I mean, you look at 617 00:32:17,640 --> 00:32:20,720 Speaker 4: this stuff. Mostly degrees do the waste. 618 00:32:21,320 --> 00:32:23,520 Speaker 1: I don't think people do the math, and I think, unfortunately, 619 00:32:23,560 --> 00:32:25,880 Speaker 1: we have a lot of people who don't understand how 620 00:32:25,880 --> 00:32:28,280 Speaker 1: loans work, and a lot of people who don't understand 621 00:32:28,280 --> 00:32:31,200 Speaker 1: how interest rates work. And you don't even sit back 622 00:32:31,240 --> 00:32:33,840 Speaker 1: and think how you're going to bankrupt yourself basically getting 623 00:32:33,840 --> 00:32:34,840 Speaker 1: a degree that never pays you. 624 00:32:34,880 --> 00:32:39,440 Speaker 4: Actually, I qualified for master's credit from Georgetown School Foreign 625 00:32:39,440 --> 00:32:42,440 Speaker 4: Service as an undergrad. So I got master's credit as 626 00:32:42,480 --> 00:32:43,200 Speaker 4: an undergrad. 627 00:32:43,680 --> 00:32:44,000 Speaker 2: You know what. 628 00:32:44,040 --> 00:32:46,840 Speaker 4: The master's credit was for a class just like the 629 00:32:46,880 --> 00:32:48,520 Speaker 4: classes I was taking an undergrad. 630 00:32:48,840 --> 00:32:50,240 Speaker 2: And I remember thinking, so. 631 00:32:50,240 --> 00:32:52,120 Speaker 4: I would just go to school for two more years 632 00:32:52,160 --> 00:32:54,560 Speaker 4: to do two more years of reading books that I 633 00:32:54,560 --> 00:32:55,520 Speaker 4: could read on my own. 634 00:32:55,720 --> 00:32:56,320 Speaker 2: I don't think so. 635 00:32:57,880 --> 00:33:01,080 Speaker 1: Lessons in Life from Clay and Buck. As hard as 636 00:33:01,120 --> 00:33:04,440 Speaker 1: the Israelis have tried to return to a normal life, 637 00:33:04,960 --> 00:33:08,040 Speaker 1: difficult to do. Nearly every day there's talk of another 638 00:33:08,120 --> 00:33:11,440 Speaker 1: missile attack on one of multiple fronts. You never know 639 00:33:11,480 --> 00:33:14,000 Speaker 1: which direction it might be coming. I was over there 640 00:33:14,040 --> 00:33:16,320 Speaker 1: in December and I saw for myself how dangerous it 641 00:33:16,360 --> 00:33:19,480 Speaker 1: can be. That's why we're partnering with the International Fellowship 642 00:33:19,560 --> 00:33:23,080 Speaker 1: of Christians and Jews to help provide life saving aid 643 00:33:23,120 --> 00:33:27,240 Speaker 1: and security essentials. Your urgently needed gift today will help 644 00:33:27,320 --> 00:33:31,120 Speaker 1: provide security essentials like bomb shelters, flack jackets, bulletproof vest. 645 00:33:31,520 --> 00:33:35,040 Speaker 1: Your gift will also help first responders by providing armored 646 00:33:35,080 --> 00:33:39,080 Speaker 1: security vehicles, ambulances and more. Join us in standing with Israel. 647 00:33:39,160 --> 00:33:41,880 Speaker 1: The importance of knowing the entire world cares about you 648 00:33:42,000 --> 00:33:45,520 Speaker 1: and stands by you is important to Israeli citizens, and 649 00:33:45,720 --> 00:33:49,440 Speaker 1: IFCJ delivers that message every single day. Call to make 650 00:33:49,480 --> 00:33:52,320 Speaker 1: your gift at eight eight eight four eight eight IFCJ. 651 00:33:52,560 --> 00:33:55,240 Speaker 1: That's eight eight eight four eight eight four three two 652 00:33:55,320 --> 00:34:00,560 Speaker 1: five online at SUPPORTIFCJ dot org to give that websit again. 653 00:34:00,800 --> 00:34:03,080 Speaker 2: Support IFCJ dot org. 654 00:34:04,680 --> 00:34:08,120 Speaker 5: Cheap up with the biggest political comeback in world history 655 00:34:08,200 --> 00:34:11,760 Speaker 5: on the Team forty seven podcast. Play and Buck highlight 656 00:34:11,840 --> 00:34:13,359 Speaker 5: Trump free plays from the week. 657 00:34:13,600 --> 00:34:14,920 Speaker 2: Sunday's at noon Eastern. 658 00:34:15,040 --> 00:34:18,120 Speaker 5: Find it on the iHeartRadio app or wherever you get 659 00:34:18,160 --> 00:34:19,080 Speaker 5: your podcasts. 660 00:34:19,920 --> 00:34:22,279 Speaker 4: All right, we're closing enough shop today On Clay and Buck, 661 00:34:22,320 --> 00:34:24,200 Speaker 4: that's a great time to remind you to please subscribe 662 00:34:24,320 --> 00:34:28,160 Speaker 4: to the Play Travis and Buck Sexton Show podcast network. 663 00:34:28,239 --> 00:34:30,040 Speaker 2: Why is it a network? Not just this show? 664 00:34:30,520 --> 00:34:35,600 Speaker 4: Other great hosts put their shows in that feed, Carol Markowitz, 665 00:34:35,680 --> 00:34:39,440 Speaker 4: Tutor Dixon, Dave Rutherford, former Navy seal. His podcast has 666 00:34:39,440 --> 00:34:41,400 Speaker 4: been blown up lately, so many of you listening in. 667 00:34:41,480 --> 00:34:44,920 Speaker 4: He's doing a great job and many many others show 668 00:34:45,080 --> 00:34:47,719 Speaker 4: go check that out when you get a chance. Get 669 00:34:47,760 --> 00:34:51,120 Speaker 4: some of your VIP emails and also some talkbacks. 670 00:34:51,120 --> 00:34:51,279 Speaker 2: Here. 671 00:34:51,360 --> 00:34:55,080 Speaker 4: Let's start with VIP email. I'm gonna jump to this one, Clay, Sandy, 672 00:34:55,520 --> 00:34:57,840 Speaker 4: Sandy knows how to get on the show. She starts 673 00:34:57,840 --> 00:35:02,279 Speaker 4: with Buck is absolutely right. Why Jill was part of 674 00:35:02,320 --> 00:35:05,399 Speaker 4: the cover up of Biden's cognitive decline to make sure 675 00:35:05,480 --> 00:35:08,520 Speaker 4: Biden could cover up the crime of the Biden family. 676 00:35:08,960 --> 00:35:12,239 Speaker 4: She was protecting Joe from staff pushing removal by the 677 00:35:12,239 --> 00:35:16,200 Speaker 4: twenty fifth Amendment at any time. I do think, Clay, 678 00:35:16,320 --> 00:35:18,080 Speaker 4: I mean, I know, you know, we're a little bit 679 00:35:18,320 --> 00:35:21,120 Speaker 4: we don't see this exactly the same way. But Jill 680 00:35:21,280 --> 00:35:24,160 Speaker 4: was having to do a delicate, delicate dance to keep 681 00:35:24,239 --> 00:35:26,720 Speaker 4: Joe in the in the cockpit, so to speak. 682 00:35:27,360 --> 00:35:31,240 Speaker 1: It is funny remember the first Trump term, how often 683 00:35:31,320 --> 00:35:33,399 Speaker 1: they talked about the twenty things with him. 684 00:35:33,360 --> 00:35:34,000 Speaker 2: All the time. 685 00:35:34,280 --> 00:35:37,279 Speaker 1: Yeah, never was mentioned about Biden at all, even though 686 00:35:37,280 --> 00:35:40,439 Speaker 1: it probably was far more legitimate to mention it there. 687 00:35:40,480 --> 00:35:43,759 Speaker 1: Now there's all sorts of constitutional issues associated with it. 688 00:35:43,760 --> 00:35:47,239 Speaker 1: It's a challenge in general, but I think Biden was 689 00:35:47,320 --> 00:35:52,160 Speaker 1: so decrepit mentally and physically that even Democrats are not 690 00:35:52,400 --> 00:35:55,120 Speaker 1: willing to bring up the twenty fifth Amendment on Trump 691 00:35:55,200 --> 00:35:56,200 Speaker 1: so far this term. 692 00:35:56,320 --> 00:35:59,200 Speaker 4: That's a perfect transition to Kevin another VIP. The first 693 00:35:59,239 --> 00:36:01,320 Speaker 4: time I heard Claim make this point, it really opened 694 00:36:01,320 --> 00:36:03,760 Speaker 4: my eyes, and I share the point with all my friends. 695 00:36:04,360 --> 00:36:07,080 Speaker 4: We see Biden maybe five percent of the time, imagine 696 00:36:07,120 --> 00:36:09,600 Speaker 4: what he is like the other ninety five percent of 697 00:36:09,600 --> 00:36:12,640 Speaker 4: the time behind closed doors. That point really struck with me, 698 00:36:12,680 --> 00:36:16,200 Speaker 4: opened eyes to how decrepit Biden really was. To see 699 00:36:16,440 --> 00:36:17,880 Speaker 4: Clay Indeed. 700 00:36:18,040 --> 00:36:21,240 Speaker 1: I mean it is whatever you think of a public figure, 701 00:36:21,719 --> 00:36:27,280 Speaker 1: understand that they typically are putting foot forth, their best 702 00:36:27,400 --> 00:36:31,279 Speaker 1: foot forward when they are in a public venue. The 703 00:36:31,280 --> 00:36:34,040 Speaker 1: Biden that we saw on June twenty seventh, and the 704 00:36:34,040 --> 00:36:36,360 Speaker 1: Biden that we saw at all those public events was 705 00:36:36,440 --> 00:36:38,839 Speaker 1: the best version of him they could put out. And 706 00:36:38,920 --> 00:36:41,760 Speaker 1: it was still awful, and we still are only getting 707 00:36:42,120 --> 00:36:44,880 Speaker 1: I think, probably a smidge a small pinprick of the 708 00:36:44,960 --> 00:36:48,840 Speaker 1: awfulness that he was embodying behind closed doors. We'll be 709 00:36:48,920 --> 00:36:52,160 Speaker 1: back with you tomorrow. Never behind closed doors. Three hours 710 00:36:52,160 --> 00:36:53,680 Speaker 1: of fun, Clay and Buck come hang with us.