1 00:00:00,520 --> 00:00:04,960 Speaker 1: Team forty seven with Clay and Buck starts. Now, I 2 00:00:05,000 --> 00:00:08,840 Speaker 1: want to start with Democrats are Now. This is from 3 00:00:08,880 --> 00:00:11,119 Speaker 1: the New York Times doing a deep dive on what 4 00:00:11,280 --> 00:00:14,760 Speaker 1: went wrong in twenty twenty four, and they have decided 5 00:00:14,840 --> 00:00:17,240 Speaker 1: that they need to do a better job. 6 00:00:17,280 --> 00:00:24,799 Speaker 2: Of pursuing young men. And this is this in many ways, 7 00:00:24,920 --> 00:00:28,840 Speaker 2: sounds like what you would say when you discover a 8 00:00:28,880 --> 00:00:32,800 Speaker 2: new tribe that has never had contact with the outside 9 00:00:32,840 --> 00:00:38,720 Speaker 2: world before. Democrats just sound completely broken when it comes 10 00:00:38,760 --> 00:00:45,120 Speaker 2: to understanding how to have a conversation with normal men 11 00:00:45,680 --> 00:00:49,160 Speaker 2: out there. And I saw this story over the weekend 12 00:00:49,200 --> 00:00:52,000 Speaker 2: in New York Times, and I just thought to myself, Yes, 13 00:00:52,159 --> 00:00:55,880 Speaker 2: we should definitely focus on this. Democrats, you'll nail it. 14 00:00:55,920 --> 00:00:59,760 Speaker 2: This is from the New York Times. The Perspectus for One, 15 00:01:00,000 --> 00:01:03,600 Speaker 2: a new twenty million dollar effort obtained by the Times, 16 00:01:04,080 --> 00:01:08,120 Speaker 2: aims to reverse the erosion of Democrats support among young men, 17 00:01:08,640 --> 00:01:12,160 Speaker 2: especially online. And again I'm reading from the New York Times. 18 00:01:12,560 --> 00:01:18,240 Speaker 2: It is code named SAM, short for Speaking with American Men, 19 00:01:18,720 --> 00:01:25,480 Speaker 2: a strategic plan and promises investment to quote study the syntax, 20 00:01:25,800 --> 00:01:31,400 Speaker 2: language and content that gains attention and virality in these spaces. 21 00:01:31,840 --> 00:01:36,040 Speaker 2: It recommends buying advertisements in video games, among other things. 22 00:01:36,959 --> 00:01:39,000 Speaker 2: I have talked about this quite a lot, and this 23 00:01:39,040 --> 00:01:42,160 Speaker 2: is what my new book is about. It's about how 24 00:01:42,200 --> 00:01:44,920 Speaker 2: Democrats lost young men. And I want to tell you 25 00:01:44,920 --> 00:01:47,160 Speaker 2: a couple of analogies that are in the book. You 26 00:01:47,200 --> 00:01:49,520 Speaker 2: can go buy it. Some of you are going to 27 00:01:49,640 --> 00:01:52,760 Speaker 2: gasp a bit when you hear what it's called. But 28 00:01:53,040 --> 00:01:57,360 Speaker 2: let me first thank President Trump for his endorsement. Some 29 00:01:57,400 --> 00:02:00,200 Speaker 2: of you may have seen this over the weekend he 30 00:02:00,280 --> 00:02:04,080 Speaker 2: posted this is President Trump. Clay Travis has a great 31 00:02:04,360 --> 00:02:08,520 Speaker 2: all caps new book coming out November fourth, twenty twenty five, 32 00:02:09,040 --> 00:02:14,440 Speaker 2: Balls How Trump Young Men and Sports Saved America. Clay 33 00:02:14,520 --> 00:02:18,080 Speaker 2: is a highly talented commentator who is tough, smart, and 34 00:02:18,200 --> 00:02:22,000 Speaker 2: gifted with all caps common sense. He studied our historic 35 00:02:22,040 --> 00:02:25,320 Speaker 2: movement from the very beginning. Truly gets Maga Maga loves him. 36 00:02:25,680 --> 00:02:29,560 Speaker 2: Pre order your copy today with a link. Again. The 37 00:02:29,560 --> 00:02:31,240 Speaker 2: book is called It's going to be out November, but 38 00:02:31,280 --> 00:02:33,160 Speaker 2: you can get it for fourteen bucks I think right 39 00:02:33,160 --> 00:02:36,520 Speaker 2: now on Amazon, Balls How Trump young Men in Sports 40 00:02:36,520 --> 00:02:39,480 Speaker 2: Saved America? And the cover of the book has two 41 00:02:39,560 --> 00:02:44,040 Speaker 2: basketballs on the cover, And some of you are going 42 00:02:44,080 --> 00:02:46,359 Speaker 2: to say, oh my god, like you're so immature, and yes, 43 00:02:46,440 --> 00:02:50,960 Speaker 2: that probably is somewhat true, but I also want for 44 00:02:51,320 --> 00:02:54,560 Speaker 2: people to be gripped by the argument. And the cover 45 00:02:54,720 --> 00:02:59,519 Speaker 2: of a book is not surprisingly an opportunity to grab 46 00:02:59,560 --> 00:03:02,680 Speaker 2: people and make them think about something or see something 47 00:03:02,720 --> 00:03:06,000 Speaker 2: that they may not have seen before. And so I've 48 00:03:06,000 --> 00:03:08,280 Speaker 2: spent a great deal of time in the last several 49 00:03:08,320 --> 00:03:13,359 Speaker 2: months diving into the data analyzing what exactly is going 50 00:03:13,400 --> 00:03:15,040 Speaker 2: on with young men, and I want to hit you 51 00:03:15,040 --> 00:03:18,400 Speaker 2: with a couple of stories that really are in the book. 52 00:03:18,960 --> 00:03:20,480 Speaker 2: And again, the book's going to be out in November. 53 00:03:20,520 --> 00:03:22,040 Speaker 2: I think you guys are really going to like it. 54 00:03:22,080 --> 00:03:25,680 Speaker 2: If you're audiobook people, I'll be reading it. Buck has 55 00:03:25,680 --> 00:03:27,160 Speaker 2: got a great new book that's going to be out 56 00:03:27,200 --> 00:03:30,040 Speaker 2: in January two, so we'll have a couple of good books. 57 00:03:30,200 --> 00:03:32,040 Speaker 2: And I imagine that he's going to be reading his 58 00:03:32,080 --> 00:03:34,680 Speaker 2: book too. So for those of you that are going 59 00:03:34,680 --> 00:03:36,320 Speaker 2: to be on the road and don't necessarily want to 60 00:03:36,360 --> 00:03:38,400 Speaker 2: read the book itself, you can get the audio version. 61 00:03:38,920 --> 00:03:42,200 Speaker 2: But it's up on Amazon. It's only fourteen bucks and 62 00:03:42,920 --> 00:03:45,240 Speaker 2: it'll be right there. And I appreciate President Trump for 63 00:03:45,480 --> 00:03:48,160 Speaker 2: endorsing the book. They said, hey, how do you want 64 00:03:48,200 --> 00:03:50,040 Speaker 2: to announce the book, and I said, well, I'd like 65 00:03:50,080 --> 00:03:52,120 Speaker 2: for President Trump to announce it. I didn't know if 66 00:03:52,120 --> 00:03:56,600 Speaker 2: he would, But on Sunday night they popped me and said, hey, 67 00:03:56,640 --> 00:04:00,320 Speaker 2: President just he's going to be endorsing your book. That 68 00:04:00,360 --> 00:04:02,960 Speaker 2: he's excited about the concept. And Trump gets it right, 69 00:04:03,320 --> 00:04:05,360 Speaker 2: Trump gets young men. But I want to talk to you, 70 00:04:05,360 --> 00:04:07,240 Speaker 2: if you've got kids or grandkids, I want to hit 71 00:04:07,280 --> 00:04:12,120 Speaker 2: you with a couple of stories. Sometimes we don't see 72 00:04:12,200 --> 00:04:15,600 Speaker 2: the world through the eyes of people who are of 73 00:04:15,720 --> 00:04:20,599 Speaker 2: different ages than us, even though we might see many 74 00:04:20,680 --> 00:04:22,920 Speaker 2: of the same things that they do. And I've got 75 00:04:22,920 --> 00:04:25,680 Speaker 2: two stories that are examples and anecdotes that are in 76 00:04:25,760 --> 00:04:28,360 Speaker 2: the book that really kind of crystallize the world for me. 77 00:04:30,040 --> 00:04:31,880 Speaker 2: You guys know, I have three boys, so I think 78 00:04:31,920 --> 00:04:34,680 Speaker 2: about this quite a lot. Right now. They are seventeen, fourteen, 79 00:04:34,720 --> 00:04:37,640 Speaker 2: and ten, one who's going to be a rising senior, 80 00:04:37,760 --> 00:04:42,279 Speaker 2: rising ninth grader, rising fifth grader, so fairly different ages. 81 00:04:43,760 --> 00:04:47,240 Speaker 2: But in the COVID era in twenty twenty, my then 82 00:04:47,400 --> 00:04:49,960 Speaker 2: nine year old, my middle son, like a lot of 83 00:04:50,000 --> 00:04:54,520 Speaker 2: your kids are grandkids, was obsessed with football cards, basketball cards, 84 00:04:54,560 --> 00:04:57,440 Speaker 2: baseball cards. I love them. When I was a kid. 85 00:04:57,839 --> 00:05:02,279 Speaker 2: My boys got really into them as well. YouTube has 86 00:05:02,320 --> 00:05:06,000 Speaker 2: really I think fueled this because you unpack, you open these, 87 00:05:06,279 --> 00:05:09,040 Speaker 2: you break as they call it, these cards, and you 88 00:05:09,120 --> 00:05:11,760 Speaker 2: go through and you look at them and they have 89 00:05:12,040 --> 00:05:13,360 Speaker 2: all sorts of special cards. 90 00:05:13,440 --> 00:05:14,800 Speaker 3: Really very cool. 91 00:05:14,880 --> 00:05:16,760 Speaker 2: I mean, it takes me back in time every time 92 00:05:16,800 --> 00:05:20,240 Speaker 2: I walk into a card shop with my boys, and 93 00:05:20,720 --> 00:05:23,120 Speaker 2: it just reminds me of being in the nineteen eighties, 94 00:05:23,279 --> 00:05:26,560 Speaker 2: nineteen nineties for many of you sixties seventies, whenever you 95 00:05:26,680 --> 00:05:31,680 Speaker 2: were into two thousands baseball cards, football cards, basketball cards, 96 00:05:32,600 --> 00:05:35,400 Speaker 2: and we were going to Target during the COVID era, 97 00:05:35,839 --> 00:05:39,200 Speaker 2: everything you know, buying large shutdown. My kids are really 98 00:05:39,880 --> 00:05:42,479 Speaker 2: fired up about cards even more. This is when YouTube 99 00:05:42,480 --> 00:05:45,440 Speaker 2: it kind of took off. People card value skyrocket, a 100 00:05:45,440 --> 00:05:50,440 Speaker 2: lot of people sitting around watching. And we walked into Target, 101 00:05:51,080 --> 00:05:54,839 Speaker 2: and this is before the Target tuck bathing suits went crazy, 102 00:05:55,160 --> 00:06:00,119 Speaker 2: before Target's Pride Month insanity. We walked in and my 103 00:06:00,279 --> 00:06:05,120 Speaker 2: nine year old points to the very first clothing display 104 00:06:05,400 --> 00:06:09,279 Speaker 2: in our local Target. This is Franklin, Tennessee. This is 105 00:06:09,360 --> 00:06:12,520 Speaker 2: a red county in a red state. I'm not talking 106 00:06:12,560 --> 00:06:15,839 Speaker 2: about walking in on in Times Square or something into 107 00:06:15,880 --> 00:06:20,120 Speaker 2: a Target. This is Franklin, Tennessee, where I live in 108 00:06:20,360 --> 00:06:23,880 Speaker 2: Williamson County, just south of Nashville, Tennessee, Red County, Red state. 109 00:06:24,680 --> 00:06:29,800 Speaker 2: And he just said they would never have anything like 110 00:06:29,880 --> 00:06:34,040 Speaker 2: and I'm paraphrasing him, they would never have that for us, 111 00:06:35,120 --> 00:06:38,120 Speaker 2: And I didn't really know what he was talking about. 112 00:06:38,160 --> 00:06:40,960 Speaker 2: He looked over. He said they would never and there's 113 00:06:41,000 --> 00:06:47,320 Speaker 2: this huge display all of girl power t shirts. Girls rule, girls, 114 00:06:47,360 --> 00:06:52,240 Speaker 2: you know, dominate whatever it is, and girl power. He said, 115 00:06:52,240 --> 00:06:54,200 Speaker 2: they would never sell boy power shirts. 116 00:06:54,320 --> 00:06:56,919 Speaker 3: Dad, what thought? 117 00:06:57,760 --> 00:06:59,880 Speaker 2: You know? It's really very inter I mean, I hadn't 118 00:07:00,000 --> 00:07:03,560 Speaker 2: thought about it because I'm a generation older than him, 119 00:07:04,160 --> 00:07:06,960 Speaker 2: and the generation that I grew up in is boys 120 00:07:06,960 --> 00:07:10,120 Speaker 2: and girls should be equal. Boys and girls should all 121 00:07:10,160 --> 00:07:12,480 Speaker 2: be able to be doctors or lawyers. You should all 122 00:07:12,480 --> 00:07:17,360 Speaker 2: be able to pursue whatever career you want to. We 123 00:07:17,400 --> 00:07:20,600 Speaker 2: should allow, regardless of whether you're a boy or girl, 124 00:07:21,160 --> 00:07:25,760 Speaker 2: girls and boys to have equal success. And I went 125 00:07:25,800 --> 00:07:27,800 Speaker 2: to law school a Vanderbilt and met his mom there. 126 00:07:28,280 --> 00:07:31,120 Speaker 2: There were more girls in my law school class than boys. 127 00:07:32,400 --> 00:07:35,720 Speaker 2: And there are way more girls now that graduate from 128 00:07:36,000 --> 00:07:39,000 Speaker 2: college than boys who graduate from college, like sixty forty 129 00:07:40,680 --> 00:07:44,400 Speaker 2: and you can imagine if sixty percent of college degrees 130 00:07:44,520 --> 00:07:47,640 Speaker 2: still went to men instead of women, we would hear 131 00:07:47,640 --> 00:07:50,280 Speaker 2: about it all the time. It would be one of 132 00:07:50,320 --> 00:07:53,920 Speaker 2: the top talking points. Oh look how sexist, Look how 133 00:07:53,920 --> 00:07:56,720 Speaker 2: the patriarchy still dominates. I mean, we're talking about sixty 134 00:07:56,760 --> 00:08:00,000 Speaker 2: percent of college degrees go to women and the majority. Now, 135 00:08:00,000 --> 00:08:04,480 Speaker 2: how have graduate degrees go to women too? And yet 136 00:08:04,920 --> 00:08:07,560 Speaker 2: you walk into a Target store, according to my then 137 00:08:07,680 --> 00:08:10,640 Speaker 2: nine year old, and they get the message all the time, 138 00:08:11,480 --> 00:08:16,280 Speaker 2: girls rule. Boys basically stink and they would never have 139 00:08:16,360 --> 00:08:17,600 Speaker 2: a boy power t shirt. 140 00:08:17,600 --> 00:08:18,280 Speaker 3: And he was right. 141 00:08:19,760 --> 00:08:25,400 Speaker 2: And shortly thereafter they go to public school K to six, 142 00:08:25,560 --> 00:08:28,680 Speaker 2: all my boys have. One of their friends came in 143 00:08:29,320 --> 00:08:32,800 Speaker 2: to the house and he was talking about they had 144 00:08:32,840 --> 00:08:36,800 Speaker 2: been having a history lesson at school, and the history 145 00:08:36,880 --> 00:08:39,000 Speaker 2: lesson that he had taken as a young white kid 146 00:08:39,160 --> 00:08:45,280 Speaker 2: was white people, white boys, white men ruin everything. And 147 00:08:45,320 --> 00:08:48,000 Speaker 2: he was kind of jokingly sitting around and he was like, 148 00:08:48,080 --> 00:08:50,800 Speaker 2: you know, mister Clay, they tell us that we have 149 00:08:50,880 --> 00:08:54,440 Speaker 2: all this power, and he's like, my mom doesn't even 150 00:08:54,480 --> 00:08:56,280 Speaker 2: let me pick what I get to eat for dinner. 151 00:08:58,200 --> 00:09:00,960 Speaker 2: And it's funny, but it's it's also kind of sad 152 00:09:02,200 --> 00:09:07,719 Speaker 2: because we've raised this entire generation of boys that has 153 00:09:07,800 --> 00:09:10,440 Speaker 2: been told not just white kids, Black kids, Asian kids, 154 00:09:10,520 --> 00:09:15,319 Speaker 2: Hispanic kids, Hey, being a man, being a boy, there's 155 00:09:15,320 --> 00:09:21,079 Speaker 2: something wrong with it. Your masculinity is toxic. And what 156 00:09:21,120 --> 00:09:25,120 Speaker 2: I grapple with in this book is imagine that we 157 00:09:25,280 --> 00:09:29,360 Speaker 2: raised an entire generation of boys and we told them 158 00:09:29,400 --> 00:09:35,520 Speaker 2: that their identity was toxic, and then we shut down 159 00:09:35,559 --> 00:09:40,120 Speaker 2: their schools, and we shut down their sports teams, and 160 00:09:40,880 --> 00:09:45,320 Speaker 2: we told them that COVID was dangerous and masculinity is toxic, 161 00:09:45,880 --> 00:09:47,640 Speaker 2: and they didn't get to go to prom, and they 162 00:09:47,640 --> 00:09:50,960 Speaker 2: didn't get to finish their basketball season or their soccer seasons. 163 00:09:51,080 --> 00:09:53,280 Speaker 2: And young girls are part of this too, but I 164 00:09:53,280 --> 00:09:55,400 Speaker 2: think boys in particular is what I focused on because 165 00:09:55,440 --> 00:10:04,800 Speaker 2: of the data. They're profoundly angry. Young white, Hispanic, Asian 166 00:10:05,040 --> 00:10:10,040 Speaker 2: and Black men are profoundly angry. And I really think 167 00:10:10,440 --> 00:10:15,559 Speaker 2: that Trump, even though he's their grandfather, channels their anger 168 00:10:16,559 --> 00:10:21,800 Speaker 2: at the establishment that took away part of their youth, 169 00:10:22,640 --> 00:10:27,640 Speaker 2: that told all of them at birth, hey, you're toxic 170 00:10:27,760 --> 00:10:33,600 Speaker 2: because you're masculine. Is it any wonder that they would 171 00:10:33,679 --> 00:10:37,440 Speaker 2: be deeply searching for purpose in life and then you 172 00:10:37,960 --> 00:10:44,400 Speaker 2: downgrade religion, you tell them that being a provider is 173 00:10:44,760 --> 00:10:49,640 Speaker 2: somewhat toxic too, that they should be beta male versions 174 00:10:49,760 --> 00:10:57,080 Speaker 2: of themselves. They are fundamentally rejecting what I would call 175 00:10:57,280 --> 00:11:01,360 Speaker 2: is the girl power era, and they're saying, there's nothing 176 00:11:01,400 --> 00:11:03,640 Speaker 2: wrong with being a boy, there's nothing wrong with growing 177 00:11:03,720 --> 00:11:07,000 Speaker 2: up to be a man. And I think that a 178 00:11:07,040 --> 00:11:09,360 Speaker 2: lot of moms out there right now are listening because 179 00:11:09,360 --> 00:11:12,559 Speaker 2: you're raising boys. And I think a lot of grandmas 180 00:11:12,559 --> 00:11:15,000 Speaker 2: are looking around like when did all the men in 181 00:11:15,040 --> 00:11:19,520 Speaker 2: the world turn into pussy willows? And I think that 182 00:11:19,600 --> 00:11:24,720 Speaker 2: Trump has channeled that anger. And I also think that 183 00:11:24,800 --> 00:11:29,280 Speaker 2: the younger boys are actually more conservative than the young 184 00:11:29,360 --> 00:11:31,839 Speaker 2: boys who broke in huge numbers. And there's a big 185 00:11:31,920 --> 00:11:34,439 Speaker 2: data analysis in this book Balls and again you got 186 00:11:34,440 --> 00:11:38,320 Speaker 2: to grab people's attention. There's a big part in the book. 187 00:11:38,679 --> 00:11:43,439 Speaker 2: Do you know the two trumpiest voting groups in America 188 00:11:44,000 --> 00:11:48,000 Speaker 2: in the twenty twenty four election were men over the 189 00:11:48,040 --> 00:11:52,559 Speaker 2: age of sixty five and young men twenty four and younger. 190 00:11:54,120 --> 00:11:57,800 Speaker 2: I bet never in history have young men and older 191 00:11:57,880 --> 00:12:02,880 Speaker 2: men been more aligned than they are right now. And 192 00:12:02,920 --> 00:12:05,240 Speaker 2: the older men are like this whole generation is bs. 193 00:12:05,320 --> 00:12:08,360 Speaker 2: But you know what the younger men are saying, you're right, Grandpa. 194 00:12:08,400 --> 00:12:11,000 Speaker 2: This whole generation is BS now. People like me are 195 00:12:11,080 --> 00:12:13,520 Speaker 2: kind of in the middle right because I think we 196 00:12:13,640 --> 00:12:15,559 Speaker 2: grew up in the era of Hey, women should be 197 00:12:15,559 --> 00:12:17,839 Speaker 2: able to be successful. Yeah good, go be a doctor, 198 00:12:17,880 --> 00:12:20,760 Speaker 2: go be a lawyer. That's fine. But I think this 199 00:12:20,840 --> 00:12:24,960 Speaker 2: younger generation, it's moved from women should be successful to 200 00:12:25,160 --> 00:12:30,200 Speaker 2: men are bad. We have dragged down men to elevate women. 201 00:12:30,440 --> 00:12:32,360 Speaker 2: And I think they see it, they feel that they're 202 00:12:32,400 --> 00:12:35,280 Speaker 2: being taught it. And so this book that I wrote 203 00:12:36,080 --> 00:12:40,480 Speaker 2: is a complete examination of that era, and I don't 204 00:12:40,480 --> 00:12:43,000 Speaker 2: think anybody else has told the story again comes through 205 00:12:43,040 --> 00:12:45,760 Speaker 2: the world of sports, COVID, all of it rolls together 206 00:12:45,880 --> 00:12:49,760 Speaker 2: to create what may be the most conservative generation that 207 00:12:49,880 --> 00:12:52,400 Speaker 2: any of us have ever seen in terms of young men. 208 00:12:52,800 --> 00:12:55,520 Speaker 2: And I see it as a dad because the younger 209 00:12:55,559 --> 00:12:59,320 Speaker 2: men are moving even more conservative. And the line of 210 00:12:59,360 --> 00:13:04,200 Speaker 2: demarcation to me is COVID. COVID was the breaking point, 211 00:13:04,920 --> 00:13:06,680 Speaker 2: the point in time where a lot of these young 212 00:13:06,720 --> 00:13:09,720 Speaker 2: men said, no, we're being lied to. If you lied 213 00:13:09,760 --> 00:13:11,480 Speaker 2: to me about COVID, why should I listen to you 214 00:13:11,520 --> 00:13:14,920 Speaker 2: about gender issues? Why should I trust you on anything? 215 00:13:15,280 --> 00:13:18,760 Speaker 2: And I think Trump and his disruptive bravery. I'll talk 216 00:13:18,800 --> 00:13:21,199 Speaker 2: about that in a second when I come back. Connects 217 00:13:21,240 --> 00:13:24,520 Speaker 2: with them on a visceral level, White Black, Asian Hispanics, 218 00:13:24,679 --> 00:13:27,960 Speaker 2: not just white kids, it's young men of all ages. 219 00:13:28,640 --> 00:13:29,840 Speaker 2: The data is reflecting. 220 00:13:30,040 --> 00:13:33,600 Speaker 1: You're listening to Team forty seven with Clay and Buck. 221 00:13:33,920 --> 00:13:38,959 Speaker 3: Elon has said that his time as a special government 222 00:13:39,559 --> 00:13:44,520 Speaker 3: employee has come to a conclusion. He put this out 223 00:13:44,600 --> 00:13:47,320 Speaker 3: on X, the platform that he owns, which now is 224 00:13:47,360 --> 00:13:50,760 Speaker 3: actually a free speech platform. As my scheduled time as 225 00:13:50,800 --> 00:13:53,760 Speaker 3: a special government employee comes to an end. I would 226 00:13:53,800 --> 00:13:56,439 Speaker 3: like to thank President Trump for the opportunity to reduce 227 00:13:56,480 --> 00:14:00,120 Speaker 3: wasteful spending. The DOGE mission will only strengthen over time 228 00:14:00,200 --> 00:14:04,240 Speaker 3: is it becomes a way of life throughout the government. 229 00:14:04,920 --> 00:14:07,880 Speaker 3: So Elon is going to go back to being the 230 00:14:07,920 --> 00:14:13,000 Speaker 3: most important single CEO and you know business. I don't 231 00:14:13,040 --> 00:14:15,559 Speaker 3: like the term thought leader right because it's like a 232 00:14:15,679 --> 00:14:17,959 Speaker 3: thought leader. I mean, the guy is a thought leader, 233 00:14:18,000 --> 00:14:20,520 Speaker 3: but I don't like to use that term. But he's 234 00:14:20,560 --> 00:14:22,640 Speaker 3: going to go back to doing the full Elon routine, 235 00:14:22,760 --> 00:14:25,479 Speaker 3: which is going to be I think great for SpaceX, 236 00:14:25,480 --> 00:14:29,360 Speaker 3: for Tesla, for X, for Boring Company, for all the 237 00:14:29,360 --> 00:14:32,800 Speaker 3: things that he is involved in. So this is where 238 00:14:33,360 --> 00:14:37,120 Speaker 3: we get into a little bit speaking of expectations, management 239 00:14:37,760 --> 00:14:41,640 Speaker 3: of they've done what they could do. He did not 240 00:14:41,880 --> 00:14:45,040 Speaker 3: unilaterally and this was known all along. He does not 241 00:14:45,320 --> 00:14:50,720 Speaker 3: unilaterally have the authority, the power. Those didn't have to 242 00:14:50,880 --> 00:14:55,600 Speaker 3: just say these cuts are going into effect money that 243 00:14:55,760 --> 00:15:00,360 Speaker 3: Congress has appropriated. If Congress says this, you know, this 244 00:15:00,480 --> 00:15:05,920 Speaker 3: program for fiscal year twenty twenty five has ten million 245 00:15:06,000 --> 00:15:09,800 Speaker 3: dollars or ten billion dollars. Dog couldn't just come along 246 00:15:09,840 --> 00:15:12,320 Speaker 3: and say, yeah, they don't have ten billion dollars anymore. 247 00:15:13,040 --> 00:15:17,360 Speaker 3: But this is where recisions come in. This also goes 248 00:15:17,360 --> 00:15:21,200 Speaker 3: to our conversations over the Big Beautiful Bill. There's been 249 00:15:21,200 --> 00:15:24,560 Speaker 3: a little bit of pushback here, including from some of 250 00:15:25,360 --> 00:15:28,680 Speaker 3: the most pro Trump voices you will find in the 251 00:15:28,720 --> 00:15:31,640 Speaker 3: Senate and just in general, who are saying, hey, Trump, 252 00:15:31,800 --> 00:15:35,720 Speaker 3: I love you with all respect. You're doing great things. 253 00:15:35,760 --> 00:15:38,240 Speaker 3: We all get that. This isn't like some never trumpy 254 00:15:38,520 --> 00:15:40,560 Speaker 3: wine fest. You think, eh, but like kind of like 255 00:15:40,600 --> 00:15:43,040 Speaker 3: the way you said it. No, that's for libs, that's 256 00:15:43,040 --> 00:15:48,080 Speaker 3: for fake Republicans. This is just about okay, it's halftime, 257 00:15:48,120 --> 00:15:50,560 Speaker 3: and it's not even halftime to be clear. It's early. 258 00:15:50,800 --> 00:15:54,720 Speaker 3: It's a time out in the first quarter of this administration, 259 00:15:55,800 --> 00:15:59,760 Speaker 3: and we're all huddled together and some of us are saying, Hey, Trump, 260 00:16:00,160 --> 00:16:02,480 Speaker 3: thank you for being the quarterback. But you know, can 261 00:16:02,520 --> 00:16:05,120 Speaker 3: you hit that guy on the button hook? Clay would 262 00:16:05,120 --> 00:16:07,000 Speaker 3: be proud, by the way. I'm just gonna say, look 263 00:16:07,000 --> 00:16:09,120 Speaker 3: at that button hook. But yeah, you know what I'm 264 00:16:09,120 --> 00:16:14,680 Speaker 3: saying that that's the mentality, or rather that's the the 265 00:16:14,800 --> 00:16:18,360 Speaker 3: rationale behind some of the pushback on this from people 266 00:16:18,400 --> 00:16:21,080 Speaker 3: like Senator Ron Johnson, people like Senator Ran Paul. They're 267 00:16:21,120 --> 00:16:23,200 Speaker 3: on board for the mission, but they want to shape 268 00:16:23,200 --> 00:16:24,760 Speaker 3: this and this is why it goes to the Senate. 269 00:16:25,120 --> 00:16:28,200 Speaker 3: I bring it up because, you know, yesterday I said 270 00:16:28,320 --> 00:16:30,200 Speaker 3: we can't let the perfect be the enemy of the good. 271 00:16:30,680 --> 00:16:34,720 Speaker 3: And I think I'm trying to so many administrations said 272 00:16:34,720 --> 00:16:36,520 Speaker 3: it later that day. I'm trying to remember. I don't 273 00:16:36,520 --> 00:16:38,600 Speaker 3: want to misquote, but somebody I heard somebody else say it. 274 00:16:38,640 --> 00:16:40,400 Speaker 3: I'm like, oh, yeah, that's right. They listened to this show. 275 00:16:41,160 --> 00:16:43,600 Speaker 3: So I'm happy to happy to help, happy to help, 276 00:16:43,680 --> 00:16:45,520 Speaker 3: and if that means I throw around a cliche that 277 00:16:45,600 --> 00:16:48,680 Speaker 3: somebody else will have in their head later, great, But 278 00:16:49,600 --> 00:16:53,040 Speaker 3: We've talked about the process and Steven Miller I read 279 00:16:53,200 --> 00:16:58,240 Speaker 3: his post on the big beautiful Bill still in process, 280 00:16:58,640 --> 00:17:01,120 Speaker 3: and there's a there're big things in this bill that 281 00:17:01,200 --> 00:17:04,119 Speaker 3: will affect us, that will affect your family budget, that 282 00:17:04,160 --> 00:17:06,520 Speaker 3: will affect the business that you own or that you 283 00:17:06,600 --> 00:17:09,880 Speaker 3: work for in your town. I mean, there's this real stuff. 284 00:17:09,960 --> 00:17:10,080 Speaker 4: Right. 285 00:17:10,119 --> 00:17:14,480 Speaker 3: This isn't sitting around arguing about the naming of the 286 00:17:14,520 --> 00:17:20,719 Speaker 3: next post office in Topeka. No offense Topeka. But this 287 00:17:20,880 --> 00:17:26,000 Speaker 3: is about big economic issue, structural issues, and setting the 288 00:17:26,040 --> 00:17:29,880 Speaker 3: economy on a footing that will allow it to get 289 00:17:29,920 --> 00:17:34,040 Speaker 3: to the best possible places, right, I mean tremendous prosperity, 290 00:17:35,320 --> 00:17:37,399 Speaker 3: which I'm very confident in. 291 00:17:37,440 --> 00:17:37,480 Speaker 4: You. 292 00:17:37,920 --> 00:17:39,640 Speaker 3: I have not been gloom and doom about the Trump 293 00:17:39,680 --> 00:17:42,439 Speaker 3: economy since he won that election for one moment, for 294 00:17:42,520 --> 00:17:45,520 Speaker 3: one day, even when oh, the Trump procession is here, 295 00:17:45,600 --> 00:17:47,560 Speaker 3: all the market is dropped. You can go back and 296 00:17:47,560 --> 00:17:50,000 Speaker 3: listen to those shows. We're like I kept saying, he 297 00:17:50,080 --> 00:17:53,720 Speaker 3: knows what he's doing. Everyone just who's freaking out needs to, 298 00:17:54,800 --> 00:17:57,679 Speaker 3: as I believe they would say here in South Florida, tranquilo. 299 00:17:58,640 --> 00:18:02,440 Speaker 3: Everyone needs to calm down. It's fine, Okay, Nothing terrible 300 00:18:02,440 --> 00:18:05,159 Speaker 3: has happened. He knows what he's doing. Part of the 301 00:18:05,320 --> 00:18:08,000 Speaker 3: complaints about the big beautiful bill, though, have been on 302 00:18:08,600 --> 00:18:14,960 Speaker 3: where is where are the cuts? Where is DOGE and 303 00:18:15,000 --> 00:18:20,480 Speaker 3: the ethos of DOGE being made real? And this is 304 00:18:20,480 --> 00:18:25,119 Speaker 3: where you have OMB Director Russell Vaught, who is on 305 00:18:25,200 --> 00:18:29,840 Speaker 3: the Cudlow Show saying that yes, in fact, the administration 306 00:18:30,640 --> 00:18:35,000 Speaker 3: is sending a recisions package to Congress. Let's hear it 307 00:18:35,000 --> 00:18:37,960 Speaker 3: from the OMB director himself, play four I can. 308 00:18:38,080 --> 00:18:40,399 Speaker 5: We'll be sending that up on Monday or Tuesday, whenever 309 00:18:40,440 --> 00:18:42,879 Speaker 5: the House is back in session. They will get our 310 00:18:42,920 --> 00:18:47,280 Speaker 5: first recisions bill. And again this has been proposed and 311 00:18:47,320 --> 00:18:49,359 Speaker 5: we've talked about it. We want to make sure that 312 00:18:49,440 --> 00:18:53,600 Speaker 5: Congress passes its first recisions bill, including the DOGE, and 313 00:18:53,640 --> 00:18:55,959 Speaker 5: we will send more if they pass it. 314 00:18:56,040 --> 00:18:59,880 Speaker 3: And so this is the first one. Is Foreign Aid USAI. 315 00:18:59,520 --> 00:19:02,119 Speaker 5: D cut many of the waste and garbage that was 316 00:19:02,160 --> 00:19:05,240 Speaker 5: funding not only wasteful but hurting our foreign policy, but 317 00:19:05,320 --> 00:19:09,399 Speaker 5: also the Corporation for Public Broadcasting NPR. Will be sending 318 00:19:09,400 --> 00:19:11,480 Speaker 5: that up and we're working with Congress and we've had 319 00:19:11,520 --> 00:19:15,040 Speaker 5: good conversations to make sure that they knew what was coming. 320 00:19:15,040 --> 00:19:17,800 Speaker 5: They had some input. Is to changes that could be 321 00:19:17,800 --> 00:19:19,840 Speaker 5: made to make it something that could pass the House, 322 00:19:19,880 --> 00:19:22,359 Speaker 5: and we're excited for that to occur next week. 323 00:19:24,000 --> 00:19:26,560 Speaker 3: There you have it. I said, hold on a second, 324 00:19:26,560 --> 00:19:28,960 Speaker 3: where are the doge cuts in the big beautiful bill. 325 00:19:29,480 --> 00:19:33,359 Speaker 3: And Stephen Miller, who understands this process as well as 326 00:19:33,400 --> 00:19:36,720 Speaker 3: anybody because he is look, he is at the center 327 00:19:36,760 --> 00:19:39,800 Speaker 3: of what's going on in this White House. He is 328 00:19:40,960 --> 00:19:44,960 Speaker 3: absolutely dialed in and he explained it to everybody, and 329 00:19:45,040 --> 00:19:46,879 Speaker 3: he said, look, this is how it has to happen 330 00:19:47,160 --> 00:19:48,920 Speaker 3: within the system. And let's be honest, even if you 331 00:19:48,960 --> 00:19:52,359 Speaker 3: follow government and politics for a living, some of this 332 00:19:52,400 --> 00:19:55,320 Speaker 3: stuff unless you I'll tell you this, some members of 333 00:19:55,320 --> 00:19:57,800 Speaker 3: Congress don't even know this stuff that well. There's staff members. 334 00:19:57,800 --> 00:20:00,000 Speaker 3: Do their staffers do? And they briefed them on it, 335 00:20:00,040 --> 00:20:02,399 Speaker 3: but they're like, wait, I gotta do that? The who's 336 00:20:02,480 --> 00:20:06,040 Speaker 3: what's it here? How does this work? Steven Miller came 337 00:20:06,080 --> 00:20:10,080 Speaker 3: out and said, here is what has to happen for 338 00:20:10,280 --> 00:20:14,760 Speaker 3: the cuts to become real and final or to come 339 00:20:14,800 --> 00:20:17,840 Speaker 3: to fruition. And now that process has gone to the 340 00:20:17,880 --> 00:20:21,720 Speaker 3: next step. And now you'll see, Okay, does usaid, does 341 00:20:21,720 --> 00:20:24,760 Speaker 3: the budget? Does Congress do what it's supposed to do. 342 00:20:24,760 --> 00:20:28,520 Speaker 3: Does PBS get its government funding cut? I have I 343 00:20:28,520 --> 00:20:31,800 Speaker 3: think the most perfect argument about this of anybody or 344 00:20:32,320 --> 00:20:33,919 Speaker 3: anyone else is welcome and bar But I like to 345 00:20:33,920 --> 00:20:36,120 Speaker 3: make arguments that other people can borrow them. That's fine. 346 00:20:36,359 --> 00:20:39,639 Speaker 3: I just want the truth to win. But PBS and 347 00:20:39,760 --> 00:20:43,080 Speaker 3: anybody else who is getting straight up government funding as 348 00:20:43,119 --> 00:20:47,600 Speaker 3: a media entity, they cannot claim simultaneously, oh, we don't 349 00:20:47,640 --> 00:20:50,320 Speaker 3: really need that funding. It's only a small percentage of 350 00:20:50,320 --> 00:20:54,159 Speaker 3: our budget. And comma, how dare they cut our budget? 351 00:20:54,240 --> 00:20:57,119 Speaker 3: What are we going to do? This is tyranny. You 352 00:20:57,160 --> 00:21:01,919 Speaker 3: are not entitled to federal fund as a media entity. 353 00:21:02,000 --> 00:21:06,560 Speaker 3: This is insane, you know. I imagine all of a sudden, 354 00:21:06,680 --> 00:21:11,000 Speaker 3: I would just say this, why is PBS getting money 355 00:21:11,000 --> 00:21:12,640 Speaker 3: from the government? Clay and Buck show doesn't get any 356 00:21:12,640 --> 00:21:16,480 Speaker 3: money from the government. We're a capitalist enterprise. Thanks to 357 00:21:16,520 --> 00:21:18,800 Speaker 3: all of you who listen, and thanks to all of 358 00:21:18,800 --> 00:21:23,119 Speaker 3: you who make our sponsors so successful, in the campaigns 359 00:21:23,160 --> 00:21:25,439 Speaker 3: we have, in the partnerships we have on this show. 360 00:21:25,760 --> 00:21:29,080 Speaker 3: Is thanks to you that this show exists. No, there's 361 00:21:29,080 --> 00:21:32,200 Speaker 3: no I mean it would be kind of nice. I 362 00:21:32,240 --> 00:21:34,280 Speaker 3: don't know. You get a check for ten million dollars 363 00:21:34,280 --> 00:21:37,080 Speaker 3: for the government, you know, we give bonuses for the 364 00:21:37,080 --> 00:21:38,800 Speaker 3: New York team or something out of that, right, I mean, 365 00:21:38,840 --> 00:21:41,800 Speaker 3: this is this is the kind of thing that you 366 00:21:41,840 --> 00:21:44,400 Speaker 3: sit there and you say, how has this even been 367 00:21:44,480 --> 00:21:49,280 Speaker 3: able to exist as long as it has? And I 368 00:21:49,280 --> 00:21:51,199 Speaker 3: want to get into this a little bit more on 369 00:21:51,240 --> 00:21:53,600 Speaker 3: the Trump fight with Harvard, which I'll dive into in 370 00:21:53,600 --> 00:21:56,879 Speaker 3: the bottom, which I think, I think this stuff is important. 371 00:21:57,280 --> 00:21:59,960 Speaker 3: And there's a new addition to this too, about four 372 00:22:00,119 --> 00:22:05,800 Speaker 3: in students from China. What's going on here? You know? 373 00:22:05,880 --> 00:22:10,119 Speaker 3: Were we bringing Were we bringing the best and the 374 00:22:10,160 --> 00:22:16,120 Speaker 3: brightest from Moscow to study at cal Tech and MIT? 375 00:22:16,920 --> 00:22:20,399 Speaker 3: And I don't know, nuclear engineering or something. Were we 376 00:22:20,440 --> 00:22:23,919 Speaker 3: doing that during the Cold War? I'm not aware of 377 00:22:23,960 --> 00:22:25,560 Speaker 3: it in any real numbers. I mean, there was a 378 00:22:25,600 --> 00:22:27,879 Speaker 3: lot of espionage going on, but I don't think we 379 00:22:27,880 --> 00:22:32,320 Speaker 3: were welcoming, you know, uh, tens of thousands of students 380 00:22:32,359 --> 00:22:36,920 Speaker 3: from Moscow to come work at high levels of sensitive 381 00:22:37,200 --> 00:22:40,000 Speaker 3: But we're doing that with China. We are we have 382 00:22:40,080 --> 00:22:43,720 Speaker 3: been doing and it's so dumb and so contra the 383 00:22:43,800 --> 00:22:45,840 Speaker 3: national interest that when you say it out loud, it 384 00:22:45,840 --> 00:22:48,800 Speaker 3: almost feels like, how is this? How is this possible? 385 00:22:48,800 --> 00:22:50,240 Speaker 3: And then you can even take it a step further. 386 00:22:50,520 --> 00:22:56,880 Speaker 3: How many Americans are getting access to the research being 387 00:22:56,920 --> 00:22:59,879 Speaker 3: done by I don't know what the top Chinese universities are, 388 00:23:00,040 --> 00:23:02,720 Speaker 3: you know, let's just say the equivalent of University of Beijing. 389 00:23:03,320 --> 00:23:07,840 Speaker 3: How many Americans are sitting in there classes learning about 390 00:23:08,080 --> 00:23:13,639 Speaker 3: five G, learning about artificial intelligence, learning about next generation 391 00:23:14,119 --> 00:23:18,320 Speaker 3: of microchips and what they're supercomputers. All that we all 392 00:23:18,359 --> 00:23:20,080 Speaker 3: know the answer, even if you don't follow the issue, 393 00:23:20,080 --> 00:23:21,800 Speaker 3: you know the answer because you'd say, well, China is 394 00:23:21,880 --> 00:23:27,560 Speaker 3: not that dumb, but we are. Trump comes along, This 395 00:23:27,680 --> 00:23:31,080 Speaker 3: is one of his superpowers. The dumb things that we 396 00:23:31,200 --> 00:23:34,600 Speaker 3: have as a country have been doing for such a 397 00:23:34,640 --> 00:23:37,960 Speaker 3: long time that we just start to think that this 398 00:23:38,119 --> 00:23:40,439 Speaker 3: is the way it has to be, because it seems 399 00:23:40,480 --> 00:23:42,879 Speaker 3: like it's always been that way. Trump comes along and says, 400 00:23:43,359 --> 00:23:45,520 Speaker 3: you know, that's a dumb thing and we should stop 401 00:23:45,520 --> 00:23:50,440 Speaker 3: doing it. Whether it's getting involved in foreign wars that 402 00:23:50,520 --> 00:23:52,560 Speaker 3: we're not going to win and that aren't bringing any 403 00:23:52,600 --> 00:23:54,600 Speaker 3: benefit to us or even the people in that country 404 00:23:54,600 --> 00:23:58,480 Speaker 3: over the long term, or it's something as straightforward, is 405 00:23:58,520 --> 00:24:02,000 Speaker 3: why are we educating the highest possible levels insensitive? They 406 00:24:02,040 --> 00:24:04,280 Speaker 3: want to study Shakespeare. Okay, I'm a little more open 407 00:24:04,320 --> 00:24:05,959 Speaker 3: to it as long as there's no Americans who are 408 00:24:05,960 --> 00:24:08,840 Speaker 3: losing that spot in that school. Whole other conversation, but 409 00:24:09,960 --> 00:24:18,119 Speaker 3: the top electrical engineering, top microprocessor top, you know, theoretical physics, astrophysics. 410 00:24:18,280 --> 00:24:23,800 Speaker 3: We're educating our biggest adversaries students and by the way, 411 00:24:24,160 --> 00:24:29,239 Speaker 3: in numbers that would blow your mind. I actually had 412 00:24:29,240 --> 00:24:32,560 Speaker 3: a conversation randomly with the guy in the Princeton University 413 00:24:32,600 --> 00:24:35,320 Speaker 3: electrical engineering labs a long time ago, and he said 414 00:24:35,320 --> 00:24:37,000 Speaker 3: that if they wanted to, This was a long time ago, 415 00:24:37,200 --> 00:24:40,640 Speaker 3: was back when I was just out of school. He said, 416 00:24:40,680 --> 00:24:43,720 Speaker 3: if they wanted to, they could take three classes or 417 00:24:43,760 --> 00:24:45,680 Speaker 3: you know, three times as many students as they have 418 00:24:46,320 --> 00:24:50,440 Speaker 3: from just China with perfect, perfect scores for engineering, I 419 00:24:50,480 --> 00:24:53,320 Speaker 3: mean perfect math scores, everything. He says. You know, they 420 00:24:53,320 --> 00:24:55,760 Speaker 3: don't take that, man, it's not one hundred percent, but 421 00:24:55,800 --> 00:24:57,159 Speaker 3: they could because they all want to come and they 422 00:24:57,160 --> 00:24:59,280 Speaker 3: take a lot of them. And that's true of a 423 00:24:59,320 --> 00:25:02,960 Speaker 3: lot of these schools. That needs to stop because they 424 00:25:02,960 --> 00:25:06,920 Speaker 3: operate in America and they have to start seeing themselves 425 00:25:06,960 --> 00:25:11,080 Speaker 3: as part of this country. They are not islands unto themselves. 426 00:25:11,200 --> 00:25:16,920 Speaker 3: They do not have global tenure. So if anything, what 427 00:25:17,000 --> 00:25:21,399 Speaker 3: you're seeing right now is Trump putting into action that 428 00:25:21,760 --> 00:25:25,960 Speaker 3: very important but very straightforward theory the dumb things that 429 00:25:26,160 --> 00:25:30,720 Speaker 3: prior administrations have done that there can be no intelligent 430 00:25:30,760 --> 00:25:33,760 Speaker 3: defense of. Whether it is funding PBS. I know they 431 00:25:33,800 --> 00:25:35,800 Speaker 3: do it because it's left wing propaganda, but there's no 432 00:25:35,920 --> 00:25:39,199 Speaker 3: real defense of this, not a serious defense, not an 433 00:25:39,240 --> 00:25:44,720 Speaker 3: intellectually consistent one. Or spending too much money, fraudulent stuff, 434 00:25:44,800 --> 00:25:47,040 Speaker 3: sending money to people overseas, the stuff that Doge has 435 00:25:47,040 --> 00:25:51,520 Speaker 3: found dumb. Right, we can all agree, or training the 436 00:25:52,200 --> 00:25:57,440 Speaker 3: foreign adversaries brightest minds in the most sensitive technologies, when 437 00:25:57,480 --> 00:25:59,480 Speaker 3: the wars and the economies of the future will be 438 00:25:59,520 --> 00:26:05,480 Speaker 3: determined by technological prowess, very dumb. And it is, as 439 00:26:05,520 --> 00:26:09,439 Speaker 3: I said, Trump's superpower among several, but one of his 440 00:26:09,520 --> 00:26:13,399 Speaker 3: superpowers is to come along and say, I no longer 441 00:26:13,760 --> 00:26:16,440 Speaker 3: wish this country to do the things that we all 442 00:26:16,440 --> 00:26:20,080 Speaker 3: know are dumb but have just kept doing with no 443 00:26:20,200 --> 00:26:23,400 Speaker 3: good reason other than maybe politics or corruption. 444 00:26:23,800 --> 00:26:26,440 Speaker 1: Team forty seven with Clay and Buck. 445 00:26:26,520 --> 00:26:30,360 Speaker 3: All right, let's get into Trump and Elon and this 446 00:26:30,400 --> 00:26:33,120 Speaker 3: conversation there, because there's what they said, which we'll play 447 00:26:33,119 --> 00:26:35,080 Speaker 3: at some of the highlights. There's also, of course the 448 00:26:35,119 --> 00:26:37,760 Speaker 3: press getting some opportunities to push on some questions and 449 00:26:38,400 --> 00:26:39,800 Speaker 3: put that out there. So I wanted to bring you 450 00:26:39,800 --> 00:26:43,320 Speaker 3: this because this was just happening now and certainly worth 451 00:26:43,400 --> 00:26:47,000 Speaker 3: our time to dial this in. Here is this is 452 00:26:47,040 --> 00:26:51,719 Speaker 3: Trump giving examples. I think it's an important, important review, 453 00:26:51,800 --> 00:26:57,480 Speaker 3: Trump giving examples of the kind of wasteful nonsense that 454 00:26:57,520 --> 00:26:59,280 Speaker 3: the government was doing. 455 00:26:59,440 --> 00:27:04,040 Speaker 4: Play Just as an example, Doge canceled one hundred and 456 00:27:04,040 --> 00:27:08,640 Speaker 4: one million dollars for DEI contracts at the Department of Education. 457 00:27:08,720 --> 00:27:11,320 Speaker 4: One hundred and one million dollars, and that was just 458 00:27:11,680 --> 00:27:14,880 Speaker 4: a small section of the Department of Education. Fifty nine 459 00:27:14,920 --> 00:27:18,600 Speaker 4: million dollars for illegal alien hotel rooms in New York 460 00:27:18,640 --> 00:27:22,440 Speaker 4: City and the landlord never made the kind of money 461 00:27:22,480 --> 00:27:24,760 Speaker 4: that he made in the last short period of time. 462 00:27:24,840 --> 00:27:28,280 Speaker 4: Fifty nine million dollars to a hotel in New York City. 463 00:27:28,320 --> 00:27:32,040 Speaker 4: Forty five million dollars for diversity, equity and inclusion scholarships 464 00:27:32,040 --> 00:27:36,679 Speaker 4: in Burma. In Burma, does anyone know about Burma? Twenty 465 00:27:37,080 --> 00:27:41,439 Speaker 4: million dollars for Arab Sesame Street in the Middle East. 466 00:27:41,680 --> 00:27:44,040 Speaker 4: Nobody knows what that's all about. Nobody's been able to 467 00:27:44,080 --> 00:27:48,119 Speaker 4: find it. Eight million dollars for making mice transgender. 468 00:27:50,480 --> 00:27:52,520 Speaker 3: I didn't know. I forgot about that one. I feel 469 00:27:52,560 --> 00:27:54,640 Speaker 3: like we might have talked eight million dollars for making 470 00:27:54,680 --> 00:27:59,399 Speaker 3: mice transgender. That's eight million dollars a lot of money. 471 00:28:00,000 --> 00:28:02,000 Speaker 3: If I told you at eight million dollars to start 472 00:28:02,240 --> 00:28:04,600 Speaker 3: a foundation or a charity, or do you say, wow, Okay, 473 00:28:04,600 --> 00:28:06,399 Speaker 3: I can hire staff and get a facility and do 474 00:28:06,480 --> 00:28:10,720 Speaker 3: some stuff. Eight million dollars for transgender mice. I know 475 00:28:10,800 --> 00:28:15,479 Speaker 3: that's in the federal government budgeting. A that's less than 476 00:28:15,480 --> 00:28:18,280 Speaker 3: a rounding error, right, And that says more about federal 477 00:28:18,280 --> 00:28:21,800 Speaker 3: government budgeting than it does about anything else. We're spending 478 00:28:21,800 --> 00:28:23,960 Speaker 3: way too much money. We're wasting way too much money, 479 00:28:24,000 --> 00:28:29,280 Speaker 3: that's clear. But the stories here are important because stories 480 00:28:29,440 --> 00:28:33,879 Speaker 3: are what stay with people. Numbers can all get mixed together. 481 00:28:33,960 --> 00:28:35,760 Speaker 3: Is it eight million, is it eight billion? Is it? 482 00:28:36,200 --> 00:28:36,359 Speaker 2: You know? 483 00:28:36,400 --> 00:28:40,840 Speaker 3: Who knows? But wait, they were spending money to trans mice. 484 00:28:41,560 --> 00:28:45,080 Speaker 3: The government was doing that. We were setting up scholarships 485 00:28:45,120 --> 00:28:48,480 Speaker 3: for people in Burma. So think about that. There are 486 00:28:48,560 --> 00:28:52,520 Speaker 3: Americans who are struggling to put their child into college, 487 00:28:52,680 --> 00:28:54,760 Speaker 3: lots of them, and even those who can afford to 488 00:28:54,800 --> 00:28:57,280 Speaker 3: do it. It's painful with a lot of money, right, 489 00:28:58,480 --> 00:29:00,760 Speaker 3: and yet your tax dollars are setting U scholarships for 490 00:29:00,800 --> 00:29:05,200 Speaker 3: people in Burma. What is the compelling national security interest 491 00:29:05,280 --> 00:29:09,520 Speaker 3: of scholarships in Burma? What is the compelling Because remember 492 00:29:09,560 --> 00:29:11,520 Speaker 3: this is all supposed to it's not a global charity. 493 00:29:11,840 --> 00:29:14,840 Speaker 3: That is not the purpose of USAID. It is supposed 494 00:29:14,880 --> 00:29:18,280 Speaker 3: to be to advance American interests. What is the purpose 495 00:29:18,440 --> 00:29:22,360 Speaker 3: of the transgender puppet show in uh Guatemala or wherever 496 00:29:22,400 --> 00:29:26,200 Speaker 3: it was, I forget, I think it was Guatemala. Well, 497 00:29:26,200 --> 00:29:28,960 Speaker 3: the purpose was that the people who had government funds 498 00:29:28,960 --> 00:29:30,920 Speaker 3: don't care and just want to push their own ideology 499 00:29:30,920 --> 00:29:33,760 Speaker 3: and that's it. They think it's their own private slush 500 00:29:33,760 --> 00:29:36,360 Speaker 3: fund to do with as they please in these institutions 501 00:29:36,360 --> 00:29:38,959 Speaker 3: of government. Well, hopefully that comes to it, and that 502 00:29:39,000 --> 00:29:45,560 Speaker 3: goes to the ethos of DOGE. It's not just Elon 503 00:29:45,880 --> 00:29:50,040 Speaker 3: being there. It is setting this up in a way 504 00:29:50,600 --> 00:29:54,800 Speaker 3: that there is now going forward, this space that is 505 00:29:54,800 --> 00:29:58,719 Speaker 3: filled by people whose job it is to figure this out, 506 00:29:58,960 --> 00:30:02,000 Speaker 3: show waste foreign abuse. You know, maybe it's more like 507 00:30:02,120 --> 00:30:08,360 Speaker 3: a like a four deployed action cell situation, meaning that 508 00:30:08,400 --> 00:30:09,800 Speaker 3: there are times when we need it and you bring 509 00:30:09,880 --> 00:30:11,840 Speaker 3: it together. There are times where you don't and it's 510 00:30:11,920 --> 00:30:13,880 Speaker 3: closed down. And wouldn't that be within the spirit of 511 00:30:13,920 --> 00:30:18,840 Speaker 3: Doge two, it's not supposed to be some forever bureaucracy. 512 00:30:19,360 --> 00:30:22,360 Speaker 3: They set it up. It's like a crisis cell in government, right, 513 00:30:22,360 --> 00:30:24,240 Speaker 3: you set it up. We got to do this, done 514 00:30:24,280 --> 00:30:28,520 Speaker 3: a bunch of things, and continues on. Here's Elon saying 515 00:30:28,560 --> 00:30:32,520 Speaker 3: exactly that that's cut thirty one. Dose is just getting started. Everybody. 516 00:30:33,960 --> 00:30:35,960 Speaker 6: This is not to the end of dose, but really 517 00:30:36,000 --> 00:30:39,600 Speaker 6: the beginning my time as a special government point necessarily 518 00:30:39,600 --> 00:30:41,520 Speaker 6: had to end. It was a limited time things one 519 00:30:41,600 --> 00:30:43,320 Speaker 6: hundred and thirty four days, I believe, which ends in 520 00:30:43,320 --> 00:30:45,600 Speaker 6: a few days. So that's you know, it just comes 521 00:30:45,640 --> 00:30:49,440 Speaker 6: with the time of it. But the dog team will 522 00:30:49,440 --> 00:30:52,920 Speaker 6: only grow stronger over time. The Doge influence willowly grows stronger. 523 00:30:52,960 --> 00:30:55,720 Speaker 6: It's liking it to sort of busso Buddhism. It's like 524 00:30:55,760 --> 00:30:59,800 Speaker 6: a way of life. So get incremating throughout the government. 525 00:31:00,120 --> 00:31:02,800 Speaker 6: And I'm confident that over time we'll see at twenty 526 00:31:02,920 --> 00:31:06,840 Speaker 6: dollars of savings and to product reduction and a trillion 527 00:31:06,840 --> 00:31:08,120 Speaker 6: dollars of wasted fraward. 528 00:31:07,920 --> 00:31:12,400 Speaker 3: Reduction, trullion dollars of waste in fraud reduction. If this 529 00:31:12,520 --> 00:31:16,360 Speaker 3: is seen through now, the recisions package has to go 530 00:31:17,240 --> 00:31:20,200 Speaker 3: to Congress and the team check. The Biden administration did 531 00:31:20,280 --> 00:31:24,560 Speaker 3: spend millions of dollars on transgender animal experiments. Real thing, 532 00:31:25,560 --> 00:31:28,160 Speaker 3: real thing. Those of you who are in towns and cities, 533 00:31:28,160 --> 00:31:29,480 Speaker 3: you're like, you know, we could use some money to 534 00:31:30,080 --> 00:31:32,160 Speaker 3: you know, I don't know, fix the water pipes that 535 00:31:32,200 --> 00:31:34,680 Speaker 3: deliver our drinking water or whatever it is, right, we 536 00:31:34,720 --> 00:31:38,000 Speaker 3: could use money for any number of things. I don't 537 00:31:38,000 --> 00:31:41,120 Speaker 3: think transgender mice was high on your agenda. Correct me 538 00:31:41,120 --> 00:31:43,600 Speaker 3: if I'm wrong, But I don't think transgender mice was 539 00:31:43,640 --> 00:31:45,160 Speaker 3: something that you were like, you know, I'm so glad 540 00:31:45,160 --> 00:31:49,000 Speaker 3: this tax day that a portion of the American people's 541 00:31:49,560 --> 00:31:54,120 Speaker 3: tax dollars will go toward the trans mice agenda. I 542 00:31:54,160 --> 00:31:58,360 Speaker 3: don't think that happens. You can call me crazy. So 543 00:31:58,480 --> 00:32:02,160 Speaker 3: Elon is saying that this is going to continue on, 544 00:32:02,400 --> 00:32:04,520 Speaker 3: and that the essence of DOGE, or as I say, 545 00:32:04,560 --> 00:32:08,920 Speaker 3: the ethos of DOGE, is the thing that needs to 546 00:32:09,000 --> 00:32:13,080 Speaker 3: keep going because this cannot continue as it is. We 547 00:32:13,160 --> 00:32:18,520 Speaker 3: have seen what it means when the government just expands 548 00:32:18,600 --> 00:32:21,520 Speaker 3: like the blob, and it's not good. It's not good 549 00:32:21,560 --> 00:32:23,560 Speaker 3: for our rights, not good for our pocketbooks, not good 550 00:32:23,560 --> 00:32:27,320 Speaker 3: for liberty, and that has to start to turn around. 551 00:32:27,840 --> 00:32:33,080 Speaker 3: The receding of this will take or I guess the recession. Whatever. 552 00:32:33,520 --> 00:32:36,080 Speaker 3: The way that this will begin to recede there we 553 00:32:36,120 --> 00:32:39,880 Speaker 3: go is that we continue to push and stay focused. 554 00:32:39,960 --> 00:32:43,640 Speaker 3: It will take time. This is why I give the 555 00:32:43,640 --> 00:32:46,640 Speaker 3: Trump administration in general on some of these issues, whether 556 00:32:46,640 --> 00:32:49,560 Speaker 3: it's we're talking about the FBI before we're talking about 557 00:32:49,560 --> 00:32:54,040 Speaker 3: this issue, I give them some leeway here when it 558 00:32:54,080 --> 00:32:55,920 Speaker 3: comes to the schedule, when it comes to the timing, 559 00:32:56,360 --> 00:32:58,400 Speaker 3: because they're doing the things they said they would do. 560 00:32:58,840 --> 00:33:04,720 Speaker 3: Trump is doing those things, and that alone is feels revolutionary. 561 00:33:05,280 --> 00:33:08,040 Speaker 3: And I think we're a little spoiled. I'm just gonna 562 00:33:08,040 --> 00:33:09,560 Speaker 3: say this. I think we're a little bit like the 563 00:33:09,600 --> 00:33:11,480 Speaker 3: Some of us are a little bit like the spoiled kids, 564 00:33:11,840 --> 00:33:14,440 Speaker 3: where we said, you know, I want an ice cream cone. 565 00:33:14,480 --> 00:33:16,320 Speaker 3: I want an ice cream cone, and we gave him 566 00:33:16,360 --> 00:33:18,520 Speaker 3: one right away, and now we go, I want another 567 00:33:18,560 --> 00:33:21,920 Speaker 3: ice cream cone. With the border, because Trump solved the 568 00:33:21,960 --> 00:33:24,680 Speaker 3: border so quickly and it was so successful, and it's 569 00:33:24,760 --> 00:33:28,800 Speaker 3: just you know, that's a big issue, and to totally 570 00:33:28,920 --> 00:33:32,120 Speaker 3: transform that and to really for now at least take 571 00:33:32,160 --> 00:33:35,080 Speaker 3: that off the table. I know, interior enforcement deportations, that's 572 00:33:35,120 --> 00:33:38,240 Speaker 3: another piece of that pie. But to take the southern 573 00:33:38,280 --> 00:33:41,240 Speaker 3: border offline as an issue because you solved it, not 574 00:33:41,280 --> 00:33:44,560 Speaker 3: because you're ignoring it or you're you're saying it's better 575 00:33:44,560 --> 00:33:47,280 Speaker 3: than it is. I think that that's raised expectations to 576 00:33:47,280 --> 00:33:49,120 Speaker 3: an impossible level for some people. Oh, we do you 577 00:33:49,160 --> 00:33:51,680 Speaker 3: know Trump fixed that? Why hasn't he fixed the debt? Well, 578 00:33:52,520 --> 00:33:55,200 Speaker 3: hold on a second, it's thirty six trillion dollars a 579 00:33:55,240 --> 00:33:58,280 Speaker 3: lot of money. It's gonna take a little time, and 580 00:33:58,280 --> 00:34:01,880 Speaker 3: and it's about also, let's be honest, it's about the 581 00:34:02,000 --> 00:34:05,880 Speaker 3: education of the American populace on these issues. The more 582 00:34:05,920 --> 00:34:09,040 Speaker 3: we know about this as a group, now I get it. 583 00:34:09,080 --> 00:34:11,680 Speaker 3: There's the communists, there's the lunatic Democrats. They're never gonna 584 00:34:11,760 --> 00:34:15,480 Speaker 3: You can't teach them, they can't learn. Fine, but if 585 00:34:15,520 --> 00:34:18,200 Speaker 3: we have enough people who know and enough people who 586 00:34:18,239 --> 00:34:21,640 Speaker 3: want to fix the problem, then it becomes possible. And 587 00:34:21,719 --> 00:34:24,880 Speaker 3: so that's where I think there's a lot of power 588 00:34:24,960 --> 00:34:27,840 Speaker 3: in what Doge has done, because this stuff is so 589 00:34:28,239 --> 00:34:34,480 Speaker 3: absurd that it gathers eyeballs, gains attention, and that's really important. 590 00:34:34,880 --> 00:34:38,520 Speaker 3: As I said, stories are what stay with people. Numbers 591 00:34:38,800 --> 00:34:43,680 Speaker 3: get jumbled, stories stay and the stories that Doge has 592 00:34:43,800 --> 00:34:50,320 Speaker 3: told are very very important. And then where or something 593 00:34:50,320 --> 00:34:53,520 Speaker 3: else that came up which I think could be a 594 00:34:53,560 --> 00:34:56,600 Speaker 3: bigger thing in time, a little bit separate from the 595 00:34:56,640 --> 00:34:58,960 Speaker 3: Doge issue, but came up with the Dose press con conference. 596 00:34:58,960 --> 00:35:01,439 Speaker 3: If Peter Doucy of Fox News, I fi Peter doing 597 00:35:01,440 --> 00:35:06,040 Speaker 3: great work. Peter Doucy of Fox News asked Trump about 598 00:35:06,640 --> 00:35:09,799 Speaker 3: whether doctor Jill Biden maybe she can take a break 599 00:35:09,800 --> 00:35:12,720 Speaker 3: from her time doing heart surgery in the oar doctor 600 00:35:12,840 --> 00:35:20,120 Speaker 3: Jill Biden testifying about the usage of Biden's auto pen 601 00:35:20,239 --> 00:35:21,839 Speaker 3: while he's president play thirty two. 602 00:35:22,000 --> 00:35:25,040 Speaker 2: Do you think that doctor Jill Biden should also have 603 00:35:25,120 --> 00:35:28,480 Speaker 2: to come in and testify about what she did or. 604 00:35:28,480 --> 00:35:29,040 Speaker 4: Didn't do. 605 00:35:30,480 --> 00:35:30,680 Speaker 6: Well. 606 00:35:30,680 --> 00:35:35,480 Speaker 4: I hate the concept that that's the wife of a 607 00:35:35,520 --> 00:35:38,000 Speaker 4: man who was going through a lot of problems, and 608 00:35:38,040 --> 00:35:40,640 Speaker 4: everybody that dealt with him understood that. And I guess 609 00:35:40,680 --> 00:35:42,920 Speaker 4: it came out during the debate loud and clear. That 610 00:35:43,080 --> 00:35:45,440 Speaker 4: was a big That was the biggest signal of all 611 00:35:46,719 --> 00:35:50,440 Speaker 4: they have to do what's right the country. There was 612 00:35:50,520 --> 00:35:53,239 Speaker 4: a lot of dishonesty and the election, as you know, 613 00:35:53,320 --> 00:35:56,080 Speaker 4: it was twenty twenty, that's been now caught. People understand 614 00:35:56,160 --> 00:35:59,960 Speaker 4: it was a rigged election. And when you go further out, 615 00:36:00,200 --> 00:36:01,759 Speaker 4: when you see the autopen, I mean, I think the 616 00:36:01,800 --> 00:36:04,239 Speaker 4: autopen is going to become one of the great scandals 617 00:36:04,239 --> 00:36:04,959 Speaker 4: of all time. 618 00:36:07,360 --> 00:36:10,040 Speaker 3: Now, a couple of things. There some big takeaways there. Now, 619 00:36:10,040 --> 00:36:13,279 Speaker 3: Trump is very calm, cool, collected, and you know, his 620 00:36:13,360 --> 00:36:15,520 Speaker 3: tone is very even here. Think about this though. First 621 00:36:15,520 --> 00:36:19,040 Speaker 3: of all, you're reminded Trump is not a vindictive guy, 622 00:36:19,680 --> 00:36:24,440 Speaker 3: and he has that basic sense of like male honor 623 00:36:25,120 --> 00:36:27,400 Speaker 3: where he goes, look it's it's the guy's wife, you know, 624 00:36:27,400 --> 00:36:29,400 Speaker 3: I don't you know. You can tell he does not 625 00:36:29,560 --> 00:36:33,320 Speaker 3: relish this prospect because he knows and that this is 626 00:36:33,360 --> 00:36:35,600 Speaker 3: a guy they tried to throw in prison. This is 627 00:36:35,600 --> 00:36:38,120 Speaker 3: a guy that got shot through the ear. This is 628 00:36:38,160 --> 00:36:41,080 Speaker 3: a guy who has been through it a million ways 629 00:36:41,160 --> 00:36:44,400 Speaker 3: and then some. But he still has that sense of 630 00:36:45,480 --> 00:36:47,520 Speaker 3: a real man doesn't want to get in between a 631 00:36:47,560 --> 00:36:49,560 Speaker 3: man and his you know, wife with this kind of thing. 632 00:36:49,600 --> 00:36:52,680 Speaker 3: A testimony to dementia and everything like that's not there's 633 00:36:52,719 --> 00:36:55,120 Speaker 3: something that bothers Trump about that. Still, I think that's 634 00:36:55,400 --> 00:36:56,960 Speaker 3: just just shows you the guy that he is. He's 635 00:36:57,000 --> 00:37:00,440 Speaker 3: not anyone. He's not a mean guy. He's not a 636 00:37:00,520 --> 00:37:02,360 Speaker 3: mean guy. I'll tell you something. I think Biden, and 637 00:37:02,440 --> 00:37:04,160 Speaker 3: not even talk about the dementia. I think Biden was 638 00:37:04,200 --> 00:37:07,880 Speaker 3: a mean guy. I think he's a nasty, vindictive person. 639 00:37:08,000 --> 00:37:09,880 Speaker 3: I really I think all that, Oh I'm grinning and 640 00:37:09,920 --> 00:37:13,239 Speaker 3: shaking hands, that was all malarkey. Not a nice guy. 641 00:37:13,880 --> 00:37:15,680 Speaker 3: Not a nice guy. And you see this with his family. 642 00:37:15,680 --> 00:37:18,239 Speaker 3: Look at Trump's kids. I think the kids tell you 643 00:37:18,280 --> 00:37:20,359 Speaker 3: a lot, folks. I know, I'm only been a dad 644 00:37:20,600 --> 00:37:22,720 Speaker 3: six weeks and I you know, it's like my favorite 645 00:37:22,760 --> 00:37:24,880 Speaker 3: thing in the world. But the kids tell you all. 646 00:37:24,840 --> 00:37:28,520 Speaker 3: Look at Trump's kids. Kids are all amazing. I know, 647 00:37:28,560 --> 00:37:30,360 Speaker 3: all of them. They're all great kids. I mean the 648 00:37:30,600 --> 00:37:33,239 Speaker 3: kids are they're like my age. They're in their forties now. 649 00:37:33,440 --> 00:37:37,080 Speaker 3: But they're all good, solid people. They're not perfect, no 650 00:37:37,080 --> 00:37:39,120 Speaker 3: one's perfect, but they're good. But they're in fact, I'm 651 00:37:39,120 --> 00:37:43,120 Speaker 3: pretty impressive across the board. Legitimately, you look at Biden, 652 00:37:43,160 --> 00:37:45,320 Speaker 3: you go look at this guy. This guy is a mess. 653 00:37:46,200 --> 00:37:48,600 Speaker 3: The son has grew up in DCEs crack, addict. You 654 00:37:48,640 --> 00:37:53,080 Speaker 3: can't me. This was completely overlooked. Okay, Okay, I know 655 00:37:53,280 --> 00:37:54,839 Speaker 3: I'm going down that pathway more than I want. We're 656 00:37:54,880 --> 00:37:56,480 Speaker 3: running out of time. I wish I had. Well, I 657 00:37:56,480 --> 00:37:58,000 Speaker 3: do have three more hours ago on Monday, so we 658 00:37:58,000 --> 00:38:00,959 Speaker 3: can return to this. But yeah, other thing, he says, 659 00:38:01,800 --> 00:38:05,160 Speaker 3: this could be the biggest scandal, the dementia hiding by 660 00:38:05,160 --> 00:38:08,239 Speaker 3: the media and the Democrat Party. That may not be 661 00:38:08,320 --> 00:38:10,600 Speaker 3: the biggest part of the scandal. It might actually be 662 00:38:11,600 --> 00:38:15,440 Speaker 3: the auto pen usage that happened as a result of that. 663 00:38:15,719 --> 00:38:18,480 Speaker 3: That's what Trump just said. We're going to keep an 664 00:38:18,520 --> 00:38:22,799 Speaker 3: eye on this. This is a a big deal, big deal. 665 00:38:23,080 --> 00:38:26,760 Speaker 3: This is Team forty seven with Clay and Buck.