1 00:00:00,320 --> 00:00:04,120 Speaker 1: Welcome back in Clay Travis buck Sexton Show. Final hour 2 00:00:04,480 --> 00:00:07,440 Speaker 1: of the two of the Tuesday edition of the program 3 00:00:07,480 --> 00:00:09,680 Speaker 1: going on right now. We're going to go talk with 4 00:00:09,840 --> 00:00:12,720 Speaker 1: journalists Selena Zito, who did a great job covering Trump 5 00:00:12,720 --> 00:00:16,120 Speaker 1: in the Midwest. We'll talk to her at the bottom 6 00:00:16,160 --> 00:00:19,920 Speaker 1: half of this hour. We've been giving you the absolute 7 00:00:20,079 --> 00:00:24,279 Speaker 1: latest on everything that's taking place in the markets. Markets 8 00:00:24,280 --> 00:00:26,279 Speaker 1: have come back down, but they are still in the 9 00:00:26,320 --> 00:00:28,760 Speaker 1: green that as they are still positive for the day. 10 00:00:29,680 --> 00:00:34,519 Speaker 1: Trump versus China has accelerated, with the tariff on Chinese 11 00:00:34,600 --> 00:00:37,080 Speaker 1: goods going to over one hundred percent. I think it's 12 00:00:37,120 --> 00:00:40,280 Speaker 1: important for many of you out there to realize that 13 00:00:40,720 --> 00:00:44,080 Speaker 1: we're really not talking about one policy fits all. It's 14 00:00:44,120 --> 00:00:47,640 Speaker 1: going to be very different, but ultimately this trade battle 15 00:00:47,720 --> 00:00:51,080 Speaker 1: is really about the United States versus China. Yes, there's 16 00:00:51,120 --> 00:00:55,480 Speaker 1: going to be some tension with the European Union, Canada, Mexico, Australia, Japan, 17 00:00:55,560 --> 00:00:58,680 Speaker 1: whoever else you want to toss out there, but really 18 00:00:58,720 --> 00:01:01,760 Speaker 1: this is about the United States versus China. This is 19 00:01:01,800 --> 00:01:04,280 Speaker 1: the big battle to be fought. It's going to resolve 20 00:01:04,319 --> 00:01:07,400 Speaker 1: itself in the weeks and months ahead, but right now, 21 00:01:07,800 --> 00:01:12,720 Speaker 1: Trump is retaliating for China's retaliation to us. And I 22 00:01:12,720 --> 00:01:16,520 Speaker 1: guess the next question Buck, is will China retaliate again 23 00:01:16,920 --> 00:01:21,280 Speaker 1: or is this move by Trump to put one hundred 24 00:01:21,640 --> 00:01:26,160 Speaker 1: tariff on all Chinese goods going to actually provoke China 25 00:01:26,240 --> 00:01:29,319 Speaker 1: to say, Okay, let's sit down, let's talk about a 26 00:01:29,319 --> 00:01:32,959 Speaker 1: way to figure this out. So we will see exactly 27 00:01:33,040 --> 00:01:38,679 Speaker 1: how that pans out. Bridge Colby committed, confirmed, not committed. 28 00:01:39,280 --> 00:01:42,040 Speaker 1: We probably need to commit some Democrats, but not Bridge 29 00:01:42,040 --> 00:01:46,399 Speaker 1: Colby and so he is confirmed. And we have been 30 00:01:46,440 --> 00:01:51,320 Speaker 1: talking about the liberal judges and what they have been doing. 31 00:01:51,440 --> 00:01:55,560 Speaker 1: Supreme Court in back to back rulings has given Trump 32 00:01:55,600 --> 00:02:02,040 Speaker 1: the ability to continue to maintain his overall all executive authority. 33 00:02:02,400 --> 00:02:05,840 Speaker 1: Florida Gators get the win over the Houston Cougars. Both 34 00:02:05,880 --> 00:02:09,519 Speaker 1: Buck and I had the right champions in our brackets. 35 00:02:09,600 --> 00:02:12,560 Speaker 1: I managed to get a very narrow victory over Buck 36 00:02:12,639 --> 00:02:15,960 Speaker 1: based on being better in the Sweet sixteen. We both 37 00:02:16,040 --> 00:02:21,560 Speaker 1: had three fourths of the Final four and also one 38 00:02:21,680 --> 00:02:24,560 Speaker 1: half of the championship game. By the way, we're going 39 00:02:24,639 --> 00:02:27,239 Speaker 1: to be joined by doctor Art Laffer. We're trying to 40 00:02:27,240 --> 00:02:31,520 Speaker 1: get you a wide variety of perspectives on the trade dispute. 41 00:02:31,960 --> 00:02:36,239 Speaker 1: Doctor Laffer had a really interesting Wall Street Journal piece 42 00:02:36,560 --> 00:02:40,120 Speaker 1: that was up in yesterday's was up yesterday online. I 43 00:02:40,120 --> 00:02:43,120 Speaker 1: believe it's in today's newspaper about how to resolve the 44 00:02:43,160 --> 00:02:46,080 Speaker 1: trade disputes. One of the most brilliant economists in the 45 00:02:46,280 --> 00:02:49,639 Speaker 1: entire world, and so we will talk with him about 46 00:02:49,639 --> 00:02:55,840 Speaker 1: this tomorrow. Okay, something fun Buck, lots of chaos going on, 47 00:02:56,320 --> 00:02:59,520 Speaker 1: lots of craziness on a day to day basis. I 48 00:02:59,560 --> 00:03:04,080 Speaker 1: bet are strong opinions on this. There are reports this 49 00:03:04,240 --> 00:03:08,680 Speaker 1: was the Time magazine cover that we have brought back 50 00:03:08,840 --> 00:03:11,560 Speaker 1: a company has. I read all about this yesterday. I 51 00:03:11,600 --> 00:03:16,320 Speaker 1: was fascinated by it yesterday afternoon. The dire Wolf, which 52 00:03:16,400 --> 00:03:20,919 Speaker 1: is a bigger wolf than the traditional wolf, has been 53 00:03:21,040 --> 00:03:25,760 Speaker 1: thanks to using DNA code, A company is saying they 54 00:03:25,760 --> 00:03:29,760 Speaker 1: have brought the dire wolf back from extinction after ten 55 00:03:29,880 --> 00:03:30,800 Speaker 1: thousand years. 56 00:03:30,880 --> 00:03:31,120 Speaker 2: Now. 57 00:03:31,880 --> 00:03:34,600 Speaker 1: Many of you are going to be familiar with the 58 00:03:34,639 --> 00:03:38,240 Speaker 1: idea of the dire wolf because you watched Game of Thrones, 59 00:03:38,800 --> 00:03:43,280 Speaker 1: and the wolves in that Game of Thrones multi year 60 00:03:43,360 --> 00:03:50,880 Speaker 1: saga grew into gigantic killing machines from small puppies. So 61 00:03:51,240 --> 00:03:54,040 Speaker 1: I wanted to dive into this buck back in the 62 00:03:54,120 --> 00:03:57,360 Speaker 1: Day when you and I were young the book before 63 00:03:57,400 --> 00:04:01,560 Speaker 1: they made the movie Jurassic Part by Michael Crichton. The 64 00:04:01,720 --> 00:04:05,680 Speaker 1: entire concept is that they're able to take the DNA 65 00:04:05,760 --> 00:04:09,000 Speaker 1: of the dinosaurs from these if I remember correctly Mosquito's 66 00:04:09,000 --> 00:04:12,720 Speaker 1: Frozen and Amber, and that they are then able to 67 00:04:13,000 --> 00:04:17,080 Speaker 1: extract that DNA to create new dinosaurs. And obviously, the 68 00:04:17,160 --> 00:04:21,760 Speaker 1: Jurassic Park franchise in terms of movies has remained incredibly 69 00:04:21,839 --> 00:04:26,159 Speaker 1: durable and powerful for thirty some odd years because lots 70 00:04:26,160 --> 00:04:29,600 Speaker 1: of people remain fascinated by dinosaurs in general, lots of 71 00:04:29,640 --> 00:04:33,240 Speaker 1: little boys, although not lots of little girls too. I remember, 72 00:04:33,400 --> 00:04:36,000 Speaker 1: I think you said your nephew knows everything about dinosaurs. 73 00:04:36,000 --> 00:04:38,800 Speaker 1: When I was a little kid, I knew everything about dinosaurs. 74 00:04:39,120 --> 00:04:43,040 Speaker 1: There is a great deal of interest still, obviously in 75 00:04:43,080 --> 00:04:44,279 Speaker 1: the Jurassic universe. 76 00:04:45,080 --> 00:04:49,760 Speaker 2: Yes, and there are other species that could already be 77 00:04:49,839 --> 00:04:53,720 Speaker 2: brought back. I think, aren't they working on mastodons or. 78 00:04:53,800 --> 00:04:57,080 Speaker 1: The wooly mammoth? For sure made me the mastodon. The 79 00:04:57,080 --> 00:04:59,640 Speaker 1: wooly mammoth, I think is basically going to happen. In 80 00:04:59,680 --> 00:05:02,640 Speaker 1: the art that I read, they are going to bring 81 00:05:02,680 --> 00:05:06,720 Speaker 1: back the saber tooth tiger they are they're going to 82 00:05:06,800 --> 00:05:10,680 Speaker 1: bring back. So my question, I'm fascinated by what the 83 00:05:10,720 --> 00:05:14,880 Speaker 1: reaction of this audience too good or bad? And let 84 00:05:14,880 --> 00:05:17,240 Speaker 1: me give you a question to think about this book. 85 00:05:17,320 --> 00:05:20,039 Speaker 1: I was just out in Colorado over spring break, and 86 00:05:20,080 --> 00:05:21,560 Speaker 1: I bet we have a lot of people listening in 87 00:05:21,600 --> 00:05:23,479 Speaker 1: Colorado right now. And I know this has turned into 88 00:05:23,520 --> 00:05:26,640 Speaker 1: a major issue all over the West. They have reintroduced 89 00:05:26,680 --> 00:05:31,000 Speaker 1: wolves in lots of states and communities where the wolf 90 00:05:31,040 --> 00:05:34,000 Speaker 1: had basically been eradicated. And if you have a ranch, 91 00:05:34,520 --> 00:05:38,599 Speaker 1: ranchers are furious about this because suddenly what I was 92 00:05:38,640 --> 00:05:41,279 Speaker 1: told I was in Colorado, They're like, yeah, everybody in 93 00:05:41,360 --> 00:05:45,320 Speaker 1: Boulder and Denver decided they wanted to vote to bring 94 00:05:45,360 --> 00:05:48,400 Speaker 1: back wolves, and all the people who live in rural 95 00:05:48,440 --> 00:05:52,120 Speaker 1: Colorado are like thanks, jerks like we have no interest 96 00:05:52,160 --> 00:05:54,599 Speaker 1: in bringing back wolves, and suddenly our livestock are getting 97 00:05:54,640 --> 00:05:57,719 Speaker 1: killed and we're having to worry about something that we 98 00:05:57,760 --> 00:06:01,640 Speaker 1: had eradicated. My thought is, now these dire wolves, there 99 00:06:01,640 --> 00:06:04,200 Speaker 1: are three of them that they say they have brought back, 100 00:06:04,640 --> 00:06:07,840 Speaker 1: two boys and a that they named Romulus and Remus 101 00:06:07,920 --> 00:06:12,679 Speaker 1: and one girl. Pop will they like in Jurassic Park 102 00:06:13,120 --> 00:06:17,880 Speaker 1: eventually find their way out and then they're suddenly circulating 103 00:06:17,960 --> 00:06:21,360 Speaker 1: in the community. They say that the dire wolf basically 104 00:06:21,400 --> 00:06:24,200 Speaker 1: covered all of North America back in the day ten 105 00:06:24,240 --> 00:06:27,120 Speaker 1: thousand years ago. If you were out, this thing was 106 00:06:27,240 --> 00:06:31,240 Speaker 1: from Canada all the way down into South America. They 107 00:06:31,320 --> 00:06:34,920 Speaker 1: basically roamed free. They were wiped out about ten thousand 108 00:06:35,040 --> 00:06:38,320 Speaker 1: years ago. What is your take on the idea, not 109 00:06:38,400 --> 00:06:41,200 Speaker 1: only of the dire wolf, saber too, tiger, wooly mammoth 110 00:06:41,520 --> 00:06:45,400 Speaker 1: being bringing back extinct animals good or bad move? 111 00:06:45,720 --> 00:06:48,600 Speaker 2: What's your take? Well, I love the book Jurassic Park, 112 00:06:48,600 --> 00:06:51,480 Speaker 2: as all of you know, and so I find this 113 00:06:51,760 --> 00:06:57,040 Speaker 2: a fascinating entry into the scientific annals that is going 114 00:06:57,080 --> 00:07:02,000 Speaker 2: on right now. I think that, man, the truth is 115 00:07:02,960 --> 00:07:05,040 Speaker 2: this the same way that you know. I've never been 116 00:07:05,040 --> 00:07:07,480 Speaker 2: to I've never been to Africa, but I love knowing 117 00:07:07,480 --> 00:07:09,360 Speaker 2: that there's all these incredible I'm sorry, I have been 118 00:07:09,400 --> 00:07:11,520 Speaker 2: to Africa. That's not true, but I've never been on 119 00:07:11,560 --> 00:07:14,120 Speaker 2: safari in Africa, but that I've been to places where 120 00:07:14,120 --> 00:07:16,040 Speaker 2: there are no safaris. They've been in some rough parts 121 00:07:16,040 --> 00:07:19,520 Speaker 2: of Africa, but uh, I've never I've never done safari, 122 00:07:19,560 --> 00:07:22,600 Speaker 2: but I love knowing that there are lions and hippopotami 123 00:07:22,720 --> 00:07:25,440 Speaker 2: and all that stuff. Uh So, I think that it's 124 00:07:25,480 --> 00:07:29,040 Speaker 2: tough for us to separate out the concept of it. 125 00:07:29,120 --> 00:07:31,120 Speaker 2: This is why when you brought up the ranchers, I 126 00:07:31,160 --> 00:07:34,400 Speaker 2: think that's very afro Po the concept of it versus 127 00:07:34,400 --> 00:07:37,840 Speaker 2: the reality of it. You know, a saber to tiger 128 00:07:37,920 --> 00:07:40,640 Speaker 2: is fine until saber to tiger eats your grandma and 129 00:07:40,680 --> 00:07:43,120 Speaker 2: then you're pretty it. This actually came up if you 130 00:07:43,320 --> 00:07:46,840 Speaker 2: you remember when this. I think it was Cecil the 131 00:07:46,960 --> 00:07:49,000 Speaker 2: Lion was the big story. 132 00:07:48,600 --> 00:07:50,800 Speaker 1: And Jimmy Kim they killed him, yes, and it was 133 00:07:50,920 --> 00:07:54,680 Speaker 1: like him was like crying on TV about Cecil the 134 00:07:54,760 --> 00:07:58,880 Speaker 1: Lion in Africa who on a lawful hunt was shot. 135 00:07:59,520 --> 00:08:00,760 Speaker 2: Yeah. 136 00:08:00,880 --> 00:08:03,040 Speaker 1: Yeah, it's like Sencil the light is crying. And look, 137 00:08:03,080 --> 00:08:05,040 Speaker 1: I love animals, so I get that. And there's something 138 00:08:05,080 --> 00:08:08,400 Speaker 1: that's you know, like I love my little dog Ginger 139 00:08:08,520 --> 00:08:10,760 Speaker 1: so much, and yet I'm gonna I'm gonna lamb shops 140 00:08:10,880 --> 00:08:11,480 Speaker 1: right for dinner. 141 00:08:11,560 --> 00:08:13,560 Speaker 2: Like I understand some of this stuff. We get a little. 142 00:08:13,960 --> 00:08:18,880 Speaker 2: It's about sentimentality over pure logic. Okay, But that all said, 143 00:08:18,880 --> 00:08:21,200 Speaker 2: there was a really interesting Wall Street Journal article that 144 00:08:21,200 --> 00:08:23,400 Speaker 2: I remember from that time, written by I think he 145 00:08:23,440 --> 00:08:25,640 Speaker 2: was a student at Harvard or Princeton who was like, 146 00:08:25,840 --> 00:08:28,760 Speaker 2: you know what lions mean in my village? Yeah, I 147 00:08:28,800 --> 00:08:32,160 Speaker 2: read people get eaten. Yeah, like this isn't a game 148 00:08:32,240 --> 00:08:34,679 Speaker 2: to us, like we actually have to control the population 149 00:08:34,800 --> 00:08:38,360 Speaker 2: because they'll eat your dad, they'll eat your sister, Like, 150 00:08:38,400 --> 00:08:40,240 Speaker 2: you know, this is a real thing that happens to 151 00:08:40,320 --> 00:08:43,160 Speaker 2: real people, which reminds me of that movie Ghost in 152 00:08:43,200 --> 00:08:45,840 Speaker 2: the Darkness, based on a true story. And I know 153 00:08:45,880 --> 00:08:47,840 Speaker 2: you all know this and you can go see the 154 00:08:47,920 --> 00:08:50,880 Speaker 2: stuffed carcasses of those lions and I'm in a zoo 155 00:08:50,880 --> 00:08:53,760 Speaker 2: and I'm in a museum in Chicago. Wasn't Val Kilmer 156 00:08:53,840 --> 00:08:56,520 Speaker 2: in that movie that just yeah, yeah, it was a 157 00:08:56,559 --> 00:08:59,200 Speaker 2: Valcilmer movie with with Michael Douglass. Kind of a weird 158 00:08:59,200 --> 00:09:02,360 Speaker 2: casting of Michael dug Glass, but anyway, Val Kilmer was 159 00:09:02,360 --> 00:09:04,480 Speaker 2: good in it. And that's based on a true story. 160 00:09:04,720 --> 00:09:05,320 Speaker 1: I mean, these. 161 00:09:05,200 --> 00:09:09,040 Speaker 2: Lions became habituated to eating people and they're like, wow, 162 00:09:09,080 --> 00:09:11,120 Speaker 2: people are slow and kind of weak, Like, let's just 163 00:09:11,120 --> 00:09:14,440 Speaker 2: eat them instead. So this is all a way to say, 164 00:09:14,920 --> 00:09:19,079 Speaker 2: I think, for you know, should we bring back dodo birds? Yeah, totally, 165 00:09:19,080 --> 00:09:20,959 Speaker 2: like should we bring back species that? 166 00:09:21,720 --> 00:09:22,200 Speaker 3: But you know. 167 00:09:22,480 --> 00:09:24,600 Speaker 1: This is where you also get into clay. I'm here 168 00:09:24,679 --> 00:09:31,760 Speaker 1: in South Florida and you have the boa constrictors and 169 00:09:31,760 --> 00:09:34,440 Speaker 1: and also what do you call them, the big they 170 00:09:34,440 --> 00:09:36,600 Speaker 1: look like little dragons onas. 171 00:09:36,720 --> 00:09:42,800 Speaker 2: Yeah. Yeah, and they are invasive. Well, boas are definitely 172 00:09:42,800 --> 00:09:45,040 Speaker 2: an invasive species. I think iguanas are two. I don't 173 00:09:45,040 --> 00:09:47,440 Speaker 2: think they're native to hear. They're basically pets that have 174 00:09:47,559 --> 00:09:51,040 Speaker 2: escaped and now they're killing all the native you know, 175 00:09:51,600 --> 00:09:54,760 Speaker 2: ecosystem animals off, so you have to go hunt them 176 00:09:54,760 --> 00:09:57,040 Speaker 2: and deal with them. True thing. Also, the you know 177 00:09:57,120 --> 00:09:59,360 Speaker 2: that little brown bird that you guys all think of, 178 00:09:59,400 --> 00:10:02,640 Speaker 2: the European house sparrow, probably the most common bird in 179 00:10:02,679 --> 00:10:05,800 Speaker 2: the entire United States everywhere, a little kind of brown 180 00:10:05,960 --> 00:10:09,200 Speaker 2: squat bird. They're an invasive species from Europe and they 181 00:10:09,920 --> 00:10:13,160 Speaker 2: have killed off a lot of native bird species because 182 00:10:13,200 --> 00:10:16,760 Speaker 2: they will break into another bird's nest and break their eggs. 183 00:10:16,800 --> 00:10:19,280 Speaker 2: They're mean, they're mean little birds. 184 00:10:20,720 --> 00:10:24,640 Speaker 1: The honeybee is an invasive species. Well, but we like honeybees. 185 00:10:24,679 --> 00:10:27,960 Speaker 1: This is guess the point, right, We like that. People 186 00:10:28,000 --> 00:10:34,000 Speaker 1: don't realize this. North America until colonization, had no honeybees anywhere, 187 00:10:34,440 --> 00:10:37,679 Speaker 1: and then they slowly spread across the entirety of the 188 00:10:37,720 --> 00:10:41,840 Speaker 1: North American continent, but they were a invasive species that 189 00:10:41,880 --> 00:10:43,160 Speaker 1: otherwise didn't exist here. 190 00:10:43,400 --> 00:10:45,200 Speaker 2: Some of you will remember this too. There was a 191 00:10:45,360 --> 00:10:47,480 Speaker 2: fear about fire ants and how they're going to keep 192 00:10:47,480 --> 00:10:49,600 Speaker 2: spreading up and spreading up, and you know they're they're 193 00:10:49,640 --> 00:10:51,480 Speaker 2: you know, dangerous to people if you step on one 194 00:10:51,480 --> 00:10:54,280 Speaker 2: of their ant hills. And there was a briefly discussed 195 00:10:54,280 --> 00:10:57,320 Speaker 2: proposal that I remember reading about the only real, real 196 00:10:57,440 --> 00:11:01,680 Speaker 2: natural predators for the fire ants. They were thinking, maybe 197 00:11:01,720 --> 00:11:05,720 Speaker 2: we should introduce It's a South American ant eater, which 198 00:11:05,760 --> 00:11:08,520 Speaker 2: has like six inch long claws and weighs like two 199 00:11:08,600 --> 00:11:11,280 Speaker 2: hundred pounds. And then they're like, well, if we introduce that, 200 00:11:11,360 --> 00:11:15,880 Speaker 2: what's its natural predator? Rguars? So you create all these problems, 201 00:11:15,880 --> 00:11:16,600 Speaker 2: the food chain. 202 00:11:16,559 --> 00:11:21,040 Speaker 1: Gets dangerous, Okay, So I am in favor of this 203 00:11:23,000 --> 00:11:26,040 Speaker 1: here is my thing as a pet, yes or no? 204 00:11:26,200 --> 00:11:29,160 Speaker 1: Once they reintroduce you no, no, no, I'm in favor 205 00:11:29,240 --> 00:11:32,080 Speaker 1: of it only for keeping them in captivity. And I 206 00:11:32,120 --> 00:11:33,839 Speaker 1: understand some of you are going to say, yeah, that's 207 00:11:33,840 --> 00:11:36,760 Speaker 1: the whole point of Jurassic Park. But I like it 208 00:11:36,920 --> 00:11:41,559 Speaker 1: also for endangered species now because in theory, it would 209 00:11:41,600 --> 00:11:45,760 Speaker 1: mean there should be no animal that actually vanishes. Right, 210 00:11:46,000 --> 00:11:49,520 Speaker 1: you should be able to get the existing DNA of 211 00:11:49,760 --> 00:11:53,080 Speaker 1: all animals that are alive on Earth today, and we 212 00:11:53,120 --> 00:11:57,160 Speaker 1: should be able to create a genetic Noah's Arc of 213 00:11:57,320 --> 00:12:01,800 Speaker 1: all living animals here today and be able to create them. Now, 214 00:12:02,559 --> 00:12:05,840 Speaker 1: I don't want if I'm a I think about this 215 00:12:05,920 --> 00:12:08,400 Speaker 1: in terms of the farmers out there and the ranchers. 216 00:12:09,120 --> 00:12:14,520 Speaker 1: The idea that you would reintroduce grizzly bears or wolves 217 00:12:14,720 --> 00:12:18,160 Speaker 1: that are going to attack my livestock is I think 218 00:12:18,720 --> 00:12:19,439 Speaker 1: different than this. 219 00:12:19,720 --> 00:12:22,760 Speaker 2: I would nothing else produce these animals, something else that 220 00:12:22,760 --> 00:12:25,600 Speaker 2: that would be on the on the docket here go. 221 00:12:25,840 --> 00:12:26,000 Speaker 4: Uh. 222 00:12:26,040 --> 00:12:28,520 Speaker 2: I believe it's I believe it's called a short faced bear. 223 00:12:29,200 --> 00:12:32,000 Speaker 2: Go look up the short faced bear and it's like 224 00:12:32,040 --> 00:12:37,880 Speaker 2: a grizzly bear times three. It's a massive land predator. Uh. 225 00:12:38,280 --> 00:12:40,640 Speaker 2: That they could also along with the saber it's from 226 00:12:40,640 --> 00:12:42,880 Speaker 2: the same era as a saber toothed tiger. They could 227 00:12:42,880 --> 00:12:45,679 Speaker 2: also bring that one back. And I think that you know, 228 00:12:45,760 --> 00:12:47,719 Speaker 2: you're starting to see we definitely don't want that, right. 229 00:12:47,760 --> 00:12:49,920 Speaker 2: I mean, that's that's gonna be the same way that 230 00:12:49,960 --> 00:12:53,839 Speaker 2: polar polar bears hunt people. It's really the only North 231 00:12:53,840 --> 00:12:57,880 Speaker 2: American land animal. Yeah, I know, grizzlies. Can wolf has 232 00:12:57,960 --> 00:13:01,040 Speaker 2: never actually attacked healthy wolves have never attacked the human 233 00:13:01,040 --> 00:13:03,440 Speaker 2: being in the history of North America, is at least 234 00:13:03,440 --> 00:13:05,560 Speaker 2: what you That's what they announced. The mean you're gonna 235 00:13:05,559 --> 00:13:07,920 Speaker 2: say no, but that's what they say. Okay, that's what 236 00:13:07,960 --> 00:13:10,400 Speaker 2: the official statistics are. The wolves won't attack people if 237 00:13:10,400 --> 00:13:13,800 Speaker 2: they're healthy. If they're a rabid, that's different. Polar bear 238 00:13:13,880 --> 00:13:17,400 Speaker 2: see you and they're like food food, they don't. There's 239 00:13:17,440 --> 00:13:19,520 Speaker 2: no offens or butts, and the same thing would be 240 00:13:19,559 --> 00:13:20,680 Speaker 2: true of a short faced bear. 241 00:13:20,800 --> 00:13:23,120 Speaker 1: So you know me some of the thing. Let me 242 00:13:23,160 --> 00:13:25,559 Speaker 1: hit you with this one, buck. My boys are obsessed 243 00:13:25,559 --> 00:13:29,960 Speaker 1: with the megalodon, which is just a giant shark. In theory, 244 00:13:30,080 --> 00:13:34,240 Speaker 1: the dire wolf can be kept in inside of a 245 00:13:34,280 --> 00:13:38,440 Speaker 1: fenced enclosure and everything else. My concern on this would 246 00:13:38,480 --> 00:13:43,319 Speaker 1: be that we would start to create big, massive animals 247 00:13:43,920 --> 00:13:46,320 Speaker 1: that are in the water, and those are a lot 248 00:13:46,400 --> 00:13:48,400 Speaker 1: harder to control. Have you ever been to to, say, 249 00:13:48,400 --> 00:13:52,120 Speaker 1: for instance, the Atlanta Aquarium where they have the whale sharks. 250 00:13:52,559 --> 00:13:54,880 Speaker 1: You know, they've never been able to, for instance, keep 251 00:13:55,200 --> 00:13:58,120 Speaker 1: I believe this is still true. A great white shark 252 00:13:58,200 --> 00:14:01,640 Speaker 1: in captivity, yes, they just they're impossible to keep inside 253 00:14:01,679 --> 00:14:05,560 Speaker 1: of museums or aquariums anything like that. My concern is 254 00:14:05,600 --> 00:14:08,520 Speaker 1: that some of these that we will create will get out. 255 00:14:09,080 --> 00:14:11,680 Speaker 1: And can you imagine a world where suddenly you have 256 00:14:12,240 --> 00:14:14,760 Speaker 1: instead of a great white shark, you've got the megalodon 257 00:14:14,920 --> 00:14:19,280 Speaker 1: suddenly like rolling around in the ocean deep. That starts 258 00:14:19,280 --> 00:14:21,120 Speaker 1: to get a little bit scarier to me. But I 259 00:14:21,160 --> 00:14:23,680 Speaker 1: think it's the reality of where we are going. I 260 00:14:23,720 --> 00:14:26,720 Speaker 1: think you're going to see all of these extinct animals 261 00:14:27,200 --> 00:14:30,920 Speaker 1: genetically us able to bring them back. Now, one more thing, 262 00:14:30,960 --> 00:14:33,440 Speaker 1: as we go to break some people are saying this 263 00:14:33,640 --> 00:14:36,280 Speaker 1: is not the real animal because of the way they're 264 00:14:36,280 --> 00:14:39,360 Speaker 1: doing the DNA coding, and that gets way more complicated 265 00:14:39,360 --> 00:14:41,800 Speaker 1: and above my pay grade. But I have read some 266 00:14:41,880 --> 00:14:43,040 Speaker 1: of those critiques as well. 267 00:14:44,520 --> 00:14:46,520 Speaker 2: There's an organization we want to tell you about, plan 268 00:14:46,520 --> 00:14:49,080 Speaker 2: and I are both members of it, the United States 269 00:14:49,160 --> 00:14:53,720 Speaker 2: Concealed Carry Association. I conceal Carry down here in Florida. 270 00:14:53,840 --> 00:14:56,200 Speaker 2: And let me tell you, friends, if you're going to 271 00:14:56,280 --> 00:14:59,400 Speaker 2: do that, you know this, you have a big responsibility. 272 00:14:59,400 --> 00:15:02,280 Speaker 2: And even if you are exercising that responsibility with the 273 00:15:02,400 --> 00:15:06,920 Speaker 2: utmost care and lawful authority as a citizen. Heaven forbid, 274 00:15:06,920 --> 00:15:11,160 Speaker 2: you can find yourself facing huge court fees. Okay, that's 275 00:15:11,240 --> 00:15:14,720 Speaker 2: just reality. So you want to have someone to have 276 00:15:14,800 --> 00:15:19,200 Speaker 2: your back. That's where USCCA comes in Handy the newest 277 00:15:19,200 --> 00:15:22,440 Speaker 2: sponsor on this program, and they do something that is 278 00:15:22,480 --> 00:15:25,520 Speaker 2: critical for any of you who own a firearm. Honestly, 279 00:15:25,960 --> 00:15:29,240 Speaker 2: download uscca's free guide. You can do that even before 280 00:15:29,240 --> 00:15:31,160 Speaker 2: you become a member if you'd like. This isn't a gimmick. 281 00:15:31,200 --> 00:15:35,880 Speaker 2: It's tangible, practical information about protecting yourself, your rights to 282 00:15:35,920 --> 00:15:39,080 Speaker 2: defend yourself, and how to look after yourself legally if 283 00:15:39,080 --> 00:15:44,120 Speaker 2: that becomes an issue. And that's where USCCA can really 284 00:15:44,160 --> 00:15:47,040 Speaker 2: step in to help you because otherwise, people who defend 285 00:15:47,040 --> 00:15:51,320 Speaker 2: themselves in a firearms related incident, they can go bankrupt. 286 00:15:51,680 --> 00:15:56,800 Speaker 2: You need to have USCCA. Go to USCCA dot com 287 00:15:56,960 --> 00:15:59,440 Speaker 2: slash buck to get your free guide today from the 288 00:15:59,480 --> 00:16:06,880 Speaker 2: United States Concealed Carry Association. That's USCCA dot com, slash Buck. 289 00:16:08,120 --> 00:16:12,840 Speaker 5: Clay Travis and Buck Sexton mic drops that never sounded 290 00:16:13,000 --> 00:16:16,960 Speaker 5: so good. Find them on the free iHeartRadio app or 291 00:16:17,000 --> 00:16:18,680 Speaker 5: wherever you get your podcast. 292 00:16:18,800 --> 00:16:21,160 Speaker 2: Welcome back into Clay and Buck. We cover it all 293 00:16:21,200 --> 00:16:24,400 Speaker 2: here man. We talk about Supreme Court cases in detail. 294 00:16:24,520 --> 00:16:27,720 Speaker 2: Clay puts on the tweet jacket and becomes a law professor. 295 00:16:27,960 --> 00:16:31,840 Speaker 2: We talk about tariffs, the global economy, and yes, short 296 00:16:31,880 --> 00:16:35,560 Speaker 2: face bears. They're very scary. They're very large, and I've 297 00:16:35,600 --> 00:16:38,120 Speaker 2: never heard of these before. Oh yeah, no, I I 298 00:16:38,200 --> 00:16:39,520 Speaker 2: just gave Clay nightmare fuel. 299 00:16:39,520 --> 00:16:39,640 Speaker 4: Here. 300 00:16:39,680 --> 00:16:41,160 Speaker 2: I sent him a photo of what the short face 301 00:16:41,200 --> 00:16:44,640 Speaker 2: bear would look like. Think of a grizzly but three 302 00:16:44,680 --> 00:16:46,080 Speaker 2: times larger and scarier. 303 00:16:46,480 --> 00:16:46,600 Speaker 3: Uh. 304 00:16:46,680 --> 00:16:50,160 Speaker 2: Let's take the listener. Everyone's writing in on this one 305 00:16:50,640 --> 00:16:54,040 Speaker 2: New Jersey listener Bill hh talkback? Hit it or not? 306 00:16:55,640 --> 00:17:04,200 Speaker 2: How how about South Florida listener Giuseppe Okay, bringing back 307 00:17:04,440 --> 00:17:10,440 Speaker 2: extinct predators probably not a good idea. 308 00:17:10,640 --> 00:17:14,160 Speaker 6: Some of them are extinct because the animals that they 309 00:17:14,359 --> 00:17:20,199 Speaker 6: eat don't exist anymore as well, So they're gonna have 310 00:17:20,320 --> 00:17:24,159 Speaker 6: to eat something. And my guess is if they're not 311 00:17:24,200 --> 00:17:28,000 Speaker 6: going to eat the livestock, then they're gonna eat the humans. 312 00:17:28,800 --> 00:17:31,359 Speaker 2: Clay channeling being Malcolm from Jurassic Park. 313 00:17:31,400 --> 00:17:31,640 Speaker 3: Here. 314 00:17:31,720 --> 00:17:34,920 Speaker 2: With these dinosaurs when stinct for a reason, they had 315 00:17:34,920 --> 00:17:37,160 Speaker 2: their chance, it. 316 00:17:37,080 --> 00:17:39,919 Speaker 1: Would be unfortunate. If the sabertooth tiger came back and 317 00:17:40,080 --> 00:17:42,280 Speaker 1: ate your grandma, that would be a tough one to 318 00:17:42,320 --> 00:17:44,600 Speaker 1: be like, Hey, this is awesome, and then grandma goes 319 00:17:44,640 --> 00:17:45,960 Speaker 1: out for a hike and next thing you know, the 320 00:17:45,960 --> 00:17:47,240 Speaker 1: sabertooth tiger eats her. 321 00:17:47,840 --> 00:17:50,840 Speaker 2: Always talking about strict them a little bit. Always talk 322 00:17:50,880 --> 00:17:54,560 Speaker 2: about sabertooth tigers making me hungry, Uh for some steak, 323 00:17:54,720 --> 00:17:57,159 Speaker 2: my friends. That's where Good Ranchers comes in. We had 324 00:17:57,200 --> 00:18:00,480 Speaker 2: the Good Ranchers steak feast here at cost of Buck 325 00:18:00,600 --> 00:18:03,520 Speaker 2: just about a week ago. We were tearing into ribbis, 326 00:18:03,600 --> 00:18:06,760 Speaker 2: tearing into t bones, clay nose, We had a bat flatter, 327 00:18:07,200 --> 00:18:10,639 Speaker 2: absolutely delicious, and look, you're gonna love the taste of 328 00:18:10,680 --> 00:18:13,600 Speaker 2: Good Ranchers. But also for your sense of patriotism, Good 329 00:18:13,680 --> 00:18:17,200 Speaker 2: Rancher sources everything from American ranchers, many of them third 330 00:18:17,240 --> 00:18:20,040 Speaker 2: and fourth generation. When you buy from Good Ranchers, you're 331 00:18:20,040 --> 00:18:23,760 Speaker 2: supporting family farms and you help keep them thriving. Good 332 00:18:23,840 --> 00:18:26,480 Speaker 2: Ranchers is free of antibiotics, seed oil, and the chicken 333 00:18:26,520 --> 00:18:29,480 Speaker 2: nuggets are gluten free. Everybody, go online to good ranchers 334 00:18:29,520 --> 00:18:32,480 Speaker 2: dot com get a box for yourself. The boxes are fantastic. 335 00:18:32,560 --> 00:18:34,720 Speaker 2: Use my name Buck as you're making your purchase and 336 00:18:34,800 --> 00:18:37,360 Speaker 2: receive free bacon, ground beef, and seed oil free chicken 337 00:18:37,440 --> 00:18:40,159 Speaker 2: nuggets for a year and forty dollars off. That's a 338 00:18:40,200 --> 00:18:42,879 Speaker 2: great deal. Good to Good Ranchers dot com. Enter code 339 00:18:42,920 --> 00:18:47,040 Speaker 2: buck to shop, subscribe and stand with American ranchers. Good 340 00:18:47,160 --> 00:18:49,280 Speaker 2: Ranchers dot Com promo code Buck. 341 00:18:49,640 --> 00:18:53,680 Speaker 1: Welcome back in Clay Travis Buck Sexton Show. Appreciate everybody 342 00:18:53,720 --> 00:18:56,159 Speaker 1: hanging out with us. We got a lot of you 343 00:18:56,200 --> 00:18:59,919 Speaker 1: weighing in with a variety of questions and let's hit 344 00:19:00,000 --> 00:19:04,640 Speaker 1: some of the Selena Zito is scheduled to join us. 345 00:19:04,800 --> 00:19:08,359 Speaker 1: He's got a Washington Post op ed about the manufacturing 346 00:19:08,440 --> 00:19:10,560 Speaker 1: universe right now in the Midwest. She's done a great 347 00:19:10,640 --> 00:19:14,400 Speaker 1: job covering that era area for some time and the 348 00:19:14,440 --> 00:19:18,320 Speaker 1: era of the Trump Midwest surge. So we'll talk about 349 00:19:18,320 --> 00:19:20,439 Speaker 1: that when she reaches out to us, and she is 350 00:19:20,480 --> 00:19:23,399 Speaker 1: now with us now, so we bring in Selena Zito. 351 00:19:23,520 --> 00:19:25,840 Speaker 1: She has got a op ed in the Washington Post 352 00:19:25,880 --> 00:19:30,120 Speaker 1: where she has been spending time with Midwestern workers. Selena, 353 00:19:30,200 --> 00:19:33,600 Speaker 1: I'm curious what you're hearing from people in the Midwest, 354 00:19:33,640 --> 00:19:36,080 Speaker 1: an area that used to be the manufacturing hub of 355 00:19:36,119 --> 00:19:40,560 Speaker 1: America that has certainly dried up in many different ways. Jd. 356 00:19:40,680 --> 00:19:43,080 Speaker 1: Vance That's been a huge part of his political career 357 00:19:43,200 --> 00:19:46,280 Speaker 1: is talking about the jobs that no longer exist in 358 00:19:46,320 --> 00:19:49,800 Speaker 1: the Midwest. What are you hearing from voters in the Midwest, 359 00:19:50,080 --> 00:19:53,480 Speaker 1: How do you think this taraphor plays for them? And 360 00:19:53,880 --> 00:19:57,719 Speaker 1: how would you assess the politics of what's going on 361 00:19:57,800 --> 00:19:58,200 Speaker 1: right now? 362 00:19:59,440 --> 00:20:01,919 Speaker 3: First thought that thanks for having me on. You know, 363 00:20:02,440 --> 00:20:05,320 Speaker 3: I cover a different world, very different than you know, 364 00:20:05,400 --> 00:20:09,560 Speaker 3: sort of the very online world. And where I'm at 365 00:20:09,560 --> 00:20:13,520 Speaker 3: in Pennsylvania, Wisconsin, Michigan, you know, the heart of the 366 00:20:13,560 --> 00:20:17,919 Speaker 3: Great Lakes, Midwest and Appalachia. These places, these people here 367 00:20:18,400 --> 00:20:21,600 Speaker 3: are very happy with the tariffs. They have spent the 368 00:20:21,680 --> 00:20:25,040 Speaker 3: past forty years, whether it was themselves or their parents 369 00:20:25,119 --> 00:20:29,400 Speaker 3: or their grandparents, watching these communities, these churches, the tech 370 00:20:29,480 --> 00:20:34,240 Speaker 3: space in their communities being decimated, and nobody even wrote 371 00:20:34,240 --> 00:20:37,640 Speaker 3: a story. I mean, I'm obviously being a little exaggerating here, 372 00:20:37,840 --> 00:20:43,920 Speaker 3: but there wasn't this big overt worry about their lives 373 00:20:44,320 --> 00:20:47,600 Speaker 3: right when when all their jobs were lost, when everything 374 00:20:47,760 --> 00:20:50,760 Speaker 3: was taken away from them. And so they look at 375 00:20:50,800 --> 00:20:54,600 Speaker 3: it two ways. They look at it as being patriotic, 376 00:20:55,240 --> 00:21:00,720 Speaker 3: bringing back American manufacturing, sacrificing in their in their four 377 00:21:00,760 --> 00:21:05,240 Speaker 3: oh one k for the betterment of the country. But 378 00:21:05,320 --> 00:21:08,080 Speaker 3: they also look at it as leveling the pill of 379 00:21:08,119 --> 00:21:12,119 Speaker 3: playing field. And it's not just manufacturing. Talk to a ranter, 380 00:21:12,800 --> 00:21:18,520 Speaker 3: they're happy, right, Talk to a manufacturer, small businessman like 381 00:21:18,680 --> 00:21:21,800 Speaker 3: Tyler Merritt down in Savannah, Georgia, the guy who owns 382 00:21:21,880 --> 00:21:25,879 Speaker 3: nine line, He's thrilled. You know, these guys are thrilled. 383 00:21:25,920 --> 00:21:30,040 Speaker 3: And these are the people that place Donald Trump into office. 384 00:21:30,440 --> 00:21:34,399 Speaker 3: It was the working class that was at the heart 385 00:21:34,480 --> 00:21:35,200 Speaker 3: of this election. 386 00:21:36,680 --> 00:21:39,480 Speaker 2: What'd you learn, Seleena, specifically from and thanks for being 387 00:21:39,520 --> 00:21:44,359 Speaker 2: here with us, when you went to a in West Miffland, Pennsylvania, 388 00:21:44,920 --> 00:21:47,920 Speaker 2: a steel mill and you talk to the folks at 389 00:21:47,960 --> 00:21:50,480 Speaker 2: the mill. I mean, just what were your biggest takeaways 390 00:21:50,920 --> 00:21:53,600 Speaker 2: both from seeing that operation. I think very few people 391 00:21:53,600 --> 00:21:56,320 Speaker 2: who don't work in a steel mill have ever really 392 00:21:56,359 --> 00:22:01,120 Speaker 2: been inside one, and also their sense of what would 393 00:22:01,119 --> 00:22:03,680 Speaker 2: they say to people who claim, well, but we can 394 00:22:03,720 --> 00:22:06,000 Speaker 2: never make steel the way they do as cheaply as 395 00:22:06,000 --> 00:22:08,000 Speaker 2: they do in China, so why even try? 396 00:22:09,359 --> 00:22:12,160 Speaker 3: Right? So if people don't check my Twitter feed out, 397 00:22:12,359 --> 00:22:15,440 Speaker 3: Zido Selena I've put the story up for free. It's 398 00:22:15,440 --> 00:22:19,720 Speaker 3: a Washington Post story. It is a very detailed, long read, 399 00:22:20,080 --> 00:22:22,920 Speaker 3: and it really puts you into the heart of why 400 00:22:22,960 --> 00:22:26,080 Speaker 3: people feel the way they do. This isn't just a 401 00:22:26,200 --> 00:22:30,239 Speaker 3: steel meal. This is the first steel mill. This is 402 00:22:30,280 --> 00:22:33,280 Speaker 3: the granddaddy of them all. That was an eighty six 403 00:22:33,400 --> 00:22:36,640 Speaker 3: year old hot rolling meal that I spent the day 404 00:22:36,880 --> 00:22:40,280 Speaker 3: watching work and watching the men and women work around it. 405 00:22:41,040 --> 00:22:48,400 Speaker 3: And these workers who would traditionally be born Democrats. Right 406 00:22:48,520 --> 00:22:53,679 Speaker 3: in western Pa, you're usually born Catholic and Democrats. It 407 00:22:53,800 --> 00:22:59,560 Speaker 3: just like goes together. They are the perfect example of 408 00:22:59,600 --> 00:23:05,000 Speaker 3: how the coalitions in American politics have dramatically changed, and 409 00:23:05,040 --> 00:23:09,840 Speaker 3: now that the Republican Party or the Conservative Populist Party 410 00:23:10,560 --> 00:23:14,720 Speaker 3: is now the party that embraces the working man and woman. 411 00:23:15,359 --> 00:23:20,040 Speaker 3: And so they're very happy and they're willing to take 412 00:23:21,880 --> 00:23:24,600 Speaker 3: a bite out of out of their four oh one 413 00:23:24,720 --> 00:23:28,560 Speaker 3: case if it means that this will be better for 414 00:23:28,640 --> 00:23:32,920 Speaker 3: the future generations. And that's the way these union guys talk. 415 00:23:33,359 --> 00:23:36,080 Speaker 3: Like a lot of those union workers that you'll meet 416 00:23:36,160 --> 00:23:39,000 Speaker 3: in the story, they're towards the end of their career, 417 00:23:39,119 --> 00:23:43,359 Speaker 3: right they're in their fifties. They said this isn't about me. 418 00:23:43,880 --> 00:23:46,320 Speaker 3: This is about the guy that just started at the 419 00:23:46,359 --> 00:23:51,080 Speaker 3: plant two weeks ago. Guys before me did this and 420 00:23:51,160 --> 00:23:56,280 Speaker 3: took sacrifices, and my I'm to pay it forward and 421 00:23:56,359 --> 00:23:59,480 Speaker 3: make sure that they are able to retire when they 422 00:23:59,520 --> 00:24:00,000 Speaker 3: turn sick. 423 00:24:00,920 --> 00:24:02,960 Speaker 1: Selena. One of the real challenges, and we played a 424 00:24:03,000 --> 00:24:08,879 Speaker 1: cut from Trump talking about this, is investment and business management, 425 00:24:09,320 --> 00:24:12,560 Speaker 1: building a factory. Those sorts of things take years. In 426 00:24:12,600 --> 00:24:15,280 Speaker 1: other words, as you just laid out, it's taken a 427 00:24:15,280 --> 00:24:18,920 Speaker 1: couple of generations for all of these jobs to dry up. 428 00:24:18,960 --> 00:24:21,280 Speaker 1: This is not something where a light switch got flipped 429 00:24:21,320 --> 00:24:25,600 Speaker 1: and things changed. What is the trajectory of changing this 430 00:24:26,400 --> 00:24:29,680 Speaker 1: culture that we created where the jobs don't exist? How 431 00:24:29,680 --> 00:24:32,520 Speaker 1: long does it take? And to be fair, is anything? 432 00:24:33,080 --> 00:24:36,320 Speaker 1: Is this anything that one president can do? Or do 433 00:24:36,359 --> 00:24:38,760 Speaker 1: we have to string together a lot of presidents that 434 00:24:38,840 --> 00:24:41,280 Speaker 1: see this as an issue in order to reverse what's 435 00:24:41,320 --> 00:24:43,200 Speaker 1: happened to I'm. 436 00:24:43,119 --> 00:24:46,520 Speaker 3: So glad you asked that. Last week I reported out 437 00:24:46,640 --> 00:24:53,119 Speaker 3: a story there was the tallest coal stack smokestack in 438 00:24:53,160 --> 00:24:57,600 Speaker 3: the country was blasted and fell. It is very traumatic, 439 00:24:57,640 --> 00:25:01,879 Speaker 3: goes very sad or coal fired power plant ten days later, 440 00:25:02,440 --> 00:25:08,359 Speaker 3: because this site is shovel ready. They announced they are starting. 441 00:25:08,440 --> 00:25:12,560 Speaker 3: They've already started to turn this plant into a natural 442 00:25:12,600 --> 00:25:18,760 Speaker 3: gas plant to facilitate not just the electricity in Pennsylvania, 443 00:25:19,000 --> 00:25:21,240 Speaker 3: Maryland and parts of New York. It's going to be 444 00:25:21,240 --> 00:25:25,200 Speaker 3: the largest electric power plant in the country. It is 445 00:25:25,320 --> 00:25:29,639 Speaker 3: also going to power a data center, an AI data center. 446 00:25:29,960 --> 00:25:32,880 Speaker 3: There are going to be ten thousand new jobs. That's 447 00:25:33,000 --> 00:25:38,080 Speaker 3: and and it is a ten billion dollar investment. And 448 00:25:38,080 --> 00:25:42,280 Speaker 3: that's not even before the AI data center is built. 449 00:25:42,720 --> 00:25:45,280 Speaker 3: You know, Bergmann was there, he was I was at 450 00:25:45,280 --> 00:25:49,399 Speaker 3: a racking site, a racking well, and he said, look, 451 00:25:49,640 --> 00:25:52,480 Speaker 3: our job right now is to build, build, build, It's 452 00:25:52,680 --> 00:25:57,320 Speaker 3: more than drill, drill, drill, because we this is like 453 00:25:57,440 --> 00:26:01,000 Speaker 3: the arms race. AI is like the arms race, and 454 00:26:01,040 --> 00:26:04,200 Speaker 3: we have to win in this country. And he pointed 455 00:26:04,240 --> 00:26:07,600 Speaker 3: to the fact that there are places like that coal 456 00:26:07,640 --> 00:26:11,320 Speaker 3: fired power plant and Homer City all over the industrial 457 00:26:11,440 --> 00:26:16,480 Speaker 3: Midwest that are ready and capable to be built. So 458 00:26:16,520 --> 00:26:20,119 Speaker 3: I think that is where the new construction, the new jobs. 459 00:26:20,119 --> 00:26:23,560 Speaker 3: And these aren't just working class jobs. These aren't just welders, 460 00:26:23,840 --> 00:26:27,560 Speaker 3: These aren't just artisans that work with their hands. There 461 00:26:27,600 --> 00:26:33,240 Speaker 3: are geologists there, chemists, engineers, men and women with degrees 462 00:26:33,280 --> 00:26:39,760 Speaker 3: in AI and technology. So it is a broad reconstruction 463 00:26:40,119 --> 00:26:44,760 Speaker 3: of how the American economy and how the American worker 464 00:26:44,920 --> 00:26:46,440 Speaker 3: approaches the next generation. 465 00:26:47,040 --> 00:26:49,320 Speaker 2: It's fascinating, Slena. You know, you're giving us this other 466 00:26:49,440 --> 00:26:51,760 Speaker 2: perspective than what you'd get if you were to flip 467 00:26:51,840 --> 00:26:55,359 Speaker 2: on CNBC. It's the sky is falling. And yet if 468 00:26:55,400 --> 00:26:57,639 Speaker 2: you go into some of these places like you have, 469 00:26:58,280 --> 00:27:02,320 Speaker 2: where people have seen what happens with the offshoring of 470 00:27:02,359 --> 00:27:08,000 Speaker 2: American jobs and de industrialization of certain industries, that they're 471 00:27:08,040 --> 00:27:11,240 Speaker 2: they're excited about the future. I just wonder, you know what, 472 00:27:11,240 --> 00:27:13,639 Speaker 2: what you think there the the hopes are and the 473 00:27:13,680 --> 00:27:15,919 Speaker 2: plans are in these areas. If Trump is able to 474 00:27:15,920 --> 00:27:18,479 Speaker 2: continue on this path, what does that start to look like? 475 00:27:18,520 --> 00:27:21,640 Speaker 2: What towns are affected? What what industries do you think 476 00:27:21,760 --> 00:27:22,639 Speaker 2: can boom? 477 00:27:24,040 --> 00:27:24,240 Speaker 5: Well? 478 00:27:24,359 --> 00:27:26,800 Speaker 3: Energy is at the top of the list, but also 479 00:27:27,640 --> 00:27:31,920 Speaker 3: artificial intelligence, Right, those are the two big booms. If 480 00:27:32,080 --> 00:27:35,720 Speaker 3: energy is going well, then that means farming is going well, 481 00:27:36,000 --> 00:27:39,840 Speaker 3: because you know, energy and farming go really hand in 482 00:27:39,920 --> 00:27:43,080 Speaker 3: hand together. And and I think one of the big 483 00:27:43,119 --> 00:27:46,920 Speaker 3: things as part of these tariffs is to to give 484 00:27:46,960 --> 00:27:51,640 Speaker 3: a boost to our American farmer and Rancher. So those 485 00:27:51,680 --> 00:27:54,320 Speaker 3: are industries you see right then and there, and then 486 00:27:54,359 --> 00:27:58,320 Speaker 3: we can talk about our universities. Right, our universities will 487 00:27:58,320 --> 00:28:00,760 Speaker 3: will will have a bit of a around and what 488 00:28:00,880 --> 00:28:03,680 Speaker 3: they focus on. You know, maybe it's not your kids. 489 00:28:03,760 --> 00:28:06,840 Speaker 3: You send your kid off for French literature, you know, 490 00:28:07,560 --> 00:28:11,000 Speaker 3: maybe they go to school for things that are going 491 00:28:11,080 --> 00:28:15,800 Speaker 3: to recreate these communities. The footprint is already there in 492 00:28:15,880 --> 00:28:22,960 Speaker 3: places like Indiana, Pennsylvania, or or West Mifflin Miffland, Pennsylvania, 493 00:28:23,080 --> 00:28:27,400 Speaker 3: or Claysville, Pennsylvania, and all across and not just in Pennsylvania. 494 00:28:27,440 --> 00:28:31,359 Speaker 3: It's in Ohio, it's in Michigan, it's in Wisconsin. Uh, 495 00:28:31,440 --> 00:28:36,960 Speaker 3: these these places are already there, and these universities already 496 00:28:37,119 --> 00:28:41,320 Speaker 3: have sort of the grain to begin these kinds of 497 00:28:41,320 --> 00:28:47,400 Speaker 3: of of new new degrees that young people can go for. 498 00:28:47,720 --> 00:28:50,360 Speaker 3: But also the trades like you guys, I'm sure you've 499 00:28:50,400 --> 00:28:54,280 Speaker 3: talked or listen to Mike Row, you know, the trades 500 00:28:54,320 --> 00:28:57,520 Speaker 3: are also where we are going to see a growth 501 00:28:57,680 --> 00:29:02,720 Speaker 3: and jobs that create real prosperity, where people can live 502 00:29:02,920 --> 00:29:06,680 Speaker 3: in the same hometown that their parents grew up in 503 00:29:06,920 --> 00:29:13,200 Speaker 3: if they want to, right, and that generational investment in 504 00:29:13,280 --> 00:29:17,640 Speaker 3: a community that's worth more than money in a lot of. 505 00:29:17,600 --> 00:29:21,880 Speaker 1: Ways, Selena, how optimistic are you? You know, we hear 506 00:29:21,920 --> 00:29:25,640 Speaker 1: a lot of hey, everything is burning down, the world's 507 00:29:25,680 --> 00:29:29,080 Speaker 1: on fire. Based on what you have seen in the 508 00:29:29,120 --> 00:29:32,440 Speaker 1: reporting that you have done, how would you accept your 509 00:29:32,520 --> 00:29:34,560 Speaker 1: overall optimism. 510 00:29:34,960 --> 00:29:38,360 Speaker 3: I think the optimism is great. It's you know, I 511 00:29:38,440 --> 00:29:43,440 Speaker 3: straddle two different, very different worlds. When I step on 512 00:29:43,520 --> 00:29:47,720 Speaker 3: social media, I see a very different attitude in the 513 00:29:47,760 --> 00:29:50,680 Speaker 3: world than what I see and feeling here out here 514 00:29:50,680 --> 00:29:54,400 Speaker 3: in the middle of the country. And it's always remarkable 515 00:29:54,480 --> 00:29:56,560 Speaker 3: to me. And it's sort of like when I said 516 00:29:57,120 --> 00:30:00,000 Speaker 3: to President Trump in twenty sixteen when I was covering him, 517 00:30:00,080 --> 00:30:02,520 Speaker 3: I said, you know, voters take you seriously, but they 518 00:30:02,600 --> 00:30:07,680 Speaker 3: don't take you literally. And my profession takes everything you 519 00:30:07,760 --> 00:30:12,480 Speaker 3: say literally and not so seriously. And and it's still it's 520 00:30:12,560 --> 00:30:17,360 Speaker 3: that same sort of dichotomy, right, It's it's it's very 521 00:30:17,400 --> 00:30:20,760 Speaker 3: different in the middle of the country, and in particular 522 00:30:20,840 --> 00:30:24,680 Speaker 3: among young people. You know, you see all these protests 523 00:30:24,680 --> 00:30:28,840 Speaker 3: out there, and they got a lot of play on 524 00:30:28,960 --> 00:30:33,719 Speaker 3: social media and the national news. However, I would argue 525 00:30:33,760 --> 00:30:37,680 Speaker 3: American politics is all about addition. If you go to 526 00:30:37,760 --> 00:30:40,760 Speaker 3: any of these rallies. Try to find someone that's changed 527 00:30:40,800 --> 00:30:45,920 Speaker 3: their mind, you likely can't because they're they're the same 528 00:30:46,000 --> 00:30:50,680 Speaker 3: people that voted for who lost last November. So they're 529 00:30:50,720 --> 00:30:55,120 Speaker 3: not adding anything new. And I think that's the challenge 530 00:30:55,200 --> 00:30:58,920 Speaker 3: right now for anything that is against what the what 531 00:30:59,120 --> 00:31:03,479 Speaker 3: President Trump and the Republicans are trying to accomplish. I 532 00:31:04,000 --> 00:31:08,080 Speaker 3: was four feet away from President Trump and Butler in 533 00:31:08,600 --> 00:31:10,760 Speaker 3: July thirteenth of last year. In fact, I have a 534 00:31:10,760 --> 00:31:13,480 Speaker 3: book coming out about it. But one thing I can 535 00:31:13,560 --> 00:31:16,440 Speaker 3: tell you, in the day after I talked to him, 536 00:31:16,480 --> 00:31:18,920 Speaker 3: In the days after I talked to him, he had 537 00:31:18,920 --> 00:31:23,040 Speaker 3: this fundamental understanding that there was a reason that he 538 00:31:24,080 --> 00:31:27,080 Speaker 3: did not die that day because so many there's so 539 00:31:27,160 --> 00:31:32,080 Speaker 3: many reasons why he shouldn't have survived what happened. But 540 00:31:32,240 --> 00:31:37,200 Speaker 3: because of that, he will be forever changed and feels 541 00:31:37,240 --> 00:31:41,760 Speaker 3: this urgency to do something because he was given that 542 00:31:41,840 --> 00:31:42,800 Speaker 3: moment to be saved. 543 00:31:44,120 --> 00:31:47,600 Speaker 2: Selena Zido, Yeah, great, great work. As always, thanks for 544 00:31:47,640 --> 00:31:50,000 Speaker 2: your piece to Washing Post and everything you do to 545 00:31:50,040 --> 00:31:52,720 Speaker 2: cover this and up at clayanbuck dot com. Guys, we've 546 00:31:52,720 --> 00:31:54,959 Speaker 2: got her op ed linked there if you just want 547 00:31:55,000 --> 00:31:56,600 Speaker 2: to go and grab it quickly. We give it a read. 548 00:31:56,640 --> 00:31:59,440 Speaker 2: You absolutely should, Selena, thank you so much. We'll talk 549 00:31:59,440 --> 00:31:59,920 Speaker 2: to you again soon. 550 00:32:00,760 --> 00:32:02,160 Speaker 3: Oh sounds great. Thanks so much. 551 00:32:02,200 --> 00:32:07,080 Speaker 1: Guys, does great work, and we'll have some fun. A 552 00:32:07,080 --> 00:32:09,239 Speaker 1: lot of great talkbacks. Will play them for you when 553 00:32:09,240 --> 00:32:12,120 Speaker 1: we come back to close out the Tuesday edition of 554 00:32:12,120 --> 00:32:14,719 Speaker 1: the program. But a lot of you out there, NHL fans, 555 00:32:14,960 --> 00:32:19,959 Speaker 1: NBA fans, Major League Baseball fans, Florida Gators, NCAA champions, 556 00:32:20,080 --> 00:32:21,960 Speaker 1: as we have talked about during the course of the 557 00:32:21,960 --> 00:32:24,960 Speaker 1: show a couple of times. But what sport do you love? 558 00:32:25,040 --> 00:32:27,920 Speaker 1: The Masters coming up this weekend. I know a lot 559 00:32:27,960 --> 00:32:30,600 Speaker 1: of you are golfers out there. Price picks give you 560 00:32:30,640 --> 00:32:33,800 Speaker 1: an opportunity to play along with whatever your sport is. 561 00:32:33,840 --> 00:32:36,240 Speaker 1: You just pick more or less on all your favorite 562 00:32:36,280 --> 00:32:39,440 Speaker 1: athletes and see whether or not you can have some 563 00:32:39,600 --> 00:32:43,080 Speaker 1: fun and cash in. You get fifty bucks when you 564 00:32:43,120 --> 00:32:45,320 Speaker 1: play five dollars. You can play in Florida, you can 565 00:32:45,360 --> 00:32:47,680 Speaker 1: play in California, you can play in Texas, Georgia. If 566 00:32:47,720 --> 00:32:52,080 Speaker 1: you're feeling left out, forty states, thirteen million people playing, 567 00:32:52,360 --> 00:32:54,479 Speaker 1: you can get your money out in as quick as 568 00:32:54,640 --> 00:32:57,960 Speaker 1: fifteen minutes. That's a big difference compared to a lot 569 00:32:57,960 --> 00:33:01,320 Speaker 1: of places out there and you can deposit with MasterCard, 570 00:33:01,400 --> 00:33:04,880 Speaker 1: Visa Discover quick and easy download the app today. My 571 00:33:04,960 --> 00:33:08,800 Speaker 1: name Clay is the code fifty dollars Instantly after you 572 00:33:08,880 --> 00:33:11,800 Speaker 1: play five dollars, all you have to do is get 573 00:33:11,800 --> 00:33:15,080 Speaker 1: hooked up with prize Picks. Download theapp price picks dot com. 574 00:33:15,440 --> 00:33:17,840 Speaker 1: Use my name Clay for fifty bucks. 575 00:33:17,960 --> 00:33:18,680 Speaker 2: Have some fun. 576 00:33:18,800 --> 00:33:23,080 Speaker 1: The Masters, the NHL, the NBA, injer League Baseball, whatever 577 00:33:23,120 --> 00:33:26,080 Speaker 1: your sport is, whatever your team is, you can find 578 00:33:26,080 --> 00:33:29,200 Speaker 1: the athletes available on the app price picks dot com. 579 00:33:29,240 --> 00:33:30,120 Speaker 2: Code Clay. 580 00:33:31,800 --> 00:33:35,200 Speaker 5: Keep up with the biggest political comeback in world history 581 00:33:35,280 --> 00:33:39,160 Speaker 5: on the Team forty seven podcast, play and book Highlight Trump. 582 00:33:39,200 --> 00:33:42,000 Speaker 1: Free plays from the week Sundays at noon Eastern. 583 00:33:42,120 --> 00:33:45,200 Speaker 5: Find it on the iHeartRadio app or wherever you get 584 00:33:45,240 --> 00:33:46,160 Speaker 5: your podcasts. 585 00:33:46,640 --> 00:33:48,680 Speaker 2: Welcome back into Clay and Buck. We're closing up shop 586 00:33:48,720 --> 00:33:51,040 Speaker 2: for the day today and tomorrow is gonna be my 587 00:33:51,120 --> 00:33:55,720 Speaker 2: last day before baby day is planned. At least it 588 00:33:55,720 --> 00:33:58,480 Speaker 2: could happen tonight, guys, So Clay, maybe you know, let's 589 00:33:59,160 --> 00:34:01,200 Speaker 2: I mean, that'd be fine. We're close to the hospital, 590 00:34:01,280 --> 00:34:03,360 Speaker 2: so and we've got our go bags ready to go. 591 00:34:03,680 --> 00:34:05,760 Speaker 2: By the way, I will add Clay that Carrie thinks 592 00:34:05,840 --> 00:34:07,840 Speaker 2: she did not know that I was planning to bring 593 00:34:08,000 --> 00:34:12,000 Speaker 2: a camping sleeping path to That is an aggressive move, 594 00:34:12,160 --> 00:34:16,719 Speaker 2: and she thinks it's aggressive, but she says, maybe not insane, 595 00:34:17,000 --> 00:34:19,160 Speaker 2: So I'll take that, you know, she says, weird. You're 596 00:34:19,200 --> 00:34:23,080 Speaker 2: definitely weird, but maybe that will actually work out for you. 597 00:34:23,200 --> 00:34:24,160 Speaker 2: Shall We shall see. 598 00:34:24,760 --> 00:34:24,880 Speaker 4: Uh. 599 00:34:25,000 --> 00:34:27,680 Speaker 2: I'm very particular about about sleeping now. I remember when 600 00:34:27,719 --> 00:34:30,920 Speaker 2: I was, you know, twenty something, I could fall asleep wherever. 601 00:34:31,360 --> 00:34:33,719 Speaker 2: I didn't even really need a pillow. I'd wake up 602 00:34:33,760 --> 00:34:36,040 Speaker 2: feeling like a million bucks. Like it was all so easy, right, 603 00:34:36,040 --> 00:34:38,440 Speaker 2: And now I'm like, oh, my gosh, is the temperature 604 00:34:38,480 --> 00:34:39,960 Speaker 2: not sixty eight degrees in here? 605 00:34:40,080 --> 00:34:43,560 Speaker 1: I've never heard of anybody bringing an air mattress to 606 00:34:44,000 --> 00:34:44,680 Speaker 1: a hospital. 607 00:34:45,000 --> 00:34:47,640 Speaker 2: I mean, I'm not thinking big air mattress. This is 608 00:34:47,760 --> 00:34:50,200 Speaker 2: just like a little folding thing you take camping, right 609 00:34:50,280 --> 00:34:53,839 Speaker 2: like it's it collapses down so that it's like the size. 610 00:34:53,640 --> 00:34:56,840 Speaker 1: You have to break it in to inflate it. No, 611 00:34:56,920 --> 00:35:01,279 Speaker 1: I blow in it with my mouth like a flute. Yeah, Oh, 612 00:35:01,280 --> 00:35:04,880 Speaker 1: that's even Weirder's gonna be sitting over at the corner. 613 00:35:05,080 --> 00:35:06,880 Speaker 1: This would be sitting over in the corner of the 614 00:35:06,960 --> 00:35:09,360 Speaker 1: room while your wife's going to the labor just blowing it, 615 00:35:09,600 --> 00:35:11,640 Speaker 1: blowing into an air mattress. 616 00:35:12,200 --> 00:35:15,640 Speaker 2: Let's go with JJ on the talkback here Punta Gorda, 617 00:35:15,719 --> 00:35:18,720 Speaker 2: Florida podcast listening or Nick Let's let's let's hear it. 618 00:35:18,760 --> 00:35:21,359 Speaker 4: Hey Klay, Travis Buck cuts and this is Nick down 619 00:35:21,360 --> 00:35:24,080 Speaker 4: to Poona Gorda, Florida. I just wanted to give Bucks 620 00:35:24,080 --> 00:35:26,960 Speaker 4: some advice. I just had the birth of my newborn 621 00:35:27,560 --> 00:35:30,040 Speaker 4: baby boy about a month ago. Best advice I can 622 00:35:30,080 --> 00:35:34,160 Speaker 4: give you after delivery is and during deliveries, document everything 623 00:35:34,280 --> 00:35:39,720 Speaker 4: right down, every medication, sleep times, wake ups, diaper changes everything, 624 00:35:39,800 --> 00:35:42,520 Speaker 4: and the amount of food and track it. It'll help 625 00:35:42,560 --> 00:35:44,760 Speaker 4: the nurses out tremendously and the doctors. 626 00:35:46,000 --> 00:35:49,239 Speaker 1: I've never heard this. I'm not saying that JJ's wrong, 627 00:35:49,280 --> 00:35:51,560 Speaker 1: by the way, roll a lot of these talkbacks over. 628 00:35:51,920 --> 00:35:55,480 Speaker 1: I'm just picturing Carrie working as hard as she can 629 00:35:55,560 --> 00:35:59,319 Speaker 1: to deliver the baby, breathing heavily, and she looks over 630 00:35:59,360 --> 00:36:03,840 Speaker 1: at you and you're just there laboring to blow up 631 00:36:03,880 --> 00:36:10,960 Speaker 1: a mattress beside her. This has unbelievable, unbelievably ridiculous opportunity here. 632 00:36:11,480 --> 00:36:13,080 Speaker 1: By the way, well, I said, roll these over, but 633 00:36:13,160 --> 00:36:15,080 Speaker 1: let's listen to Jessica. She's got a great take. 634 00:36:15,400 --> 00:36:17,920 Speaker 5: Hey, Clay and Buck, this is Jessica. 635 00:36:18,480 --> 00:36:21,399 Speaker 1: I just wanted to tell you that Clay is exactly right. 636 00:36:21,480 --> 00:36:23,600 Speaker 5: If you have a white beard and you're an old dude, 637 00:36:23,800 --> 00:36:27,719 Speaker 5: much more trustworthy than an old dude with a died 638 00:36:27,800 --> 00:36:29,879 Speaker 5: beard or a dark beard. 639 00:36:29,880 --> 00:36:31,080 Speaker 1: Maybe it hasn't turned. 640 00:36:30,800 --> 00:36:31,919 Speaker 4: Gray or weight yet. 641 00:36:32,120 --> 00:36:36,000 Speaker 5: Those guys remind me of a bunch of creepers, and 642 00:36:36,400 --> 00:36:38,719 Speaker 5: like Neil Diamond in the seventies with. 643 00:36:38,640 --> 00:36:41,120 Speaker 4: His chest hair all hanging out and everything. 644 00:36:41,160 --> 00:36:41,840 Speaker 5: One of those. 645 00:36:41,640 --> 00:36:45,960 Speaker 2: Guys, Jessica's right. Visual, Yeah,