1 00:00:00,120 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:04,680 Speaker 1: Sexton Show podcast. 3 00:00:04,920 --> 00:00:10,000 Speaker 2: Welcome in Monday edition Clay Travis buck Sexton Show. We 4 00:00:10,400 --> 00:00:17,640 Speaker 2: just keep stacking wins. Lots to dive into. Let's start 5 00:00:17,680 --> 00:00:20,520 Speaker 2: with the fun. By the way, we've got a loaded show. 6 00:00:20,640 --> 00:00:26,880 Speaker 2: David sachs Ai, czar of the new Trump administration, will 7 00:00:27,000 --> 00:00:30,920 Speaker 2: join us at the bottom of this hour. Multi billionaire 8 00:00:31,000 --> 00:00:36,320 Speaker 2: venture capital investor, brilliant guy. Lots to talk about with him. 9 00:00:36,320 --> 00:00:39,160 Speaker 2: He'll be on with us in this hour. Second hour, 10 00:00:39,600 --> 00:00:43,120 Speaker 2: We're gonna talk with May Mailman. She's inside of the 11 00:00:43,200 --> 00:00:46,960 Speaker 2: Trump White House. She's gonna talk about the big blow 12 00:00:47,040 --> 00:00:50,040 Speaker 2: up that happened in the final hour during the final 13 00:00:50,080 --> 00:00:53,199 Speaker 2: hour of the show on Friday, when the governor of 14 00:00:53,280 --> 00:00:56,920 Speaker 2: Maine said she would be suing Donald Trump over men 15 00:00:57,280 --> 00:00:59,880 Speaker 2: being allowed to continue to play in women's sports, but 16 00:01:00,080 --> 00:01:03,120 Speaker 2: then also lots of spice surrounding it. 17 00:01:03,320 --> 00:01:04,200 Speaker 1: May was there. 18 00:01:04,680 --> 00:01:06,480 Speaker 2: She's going to come on and tell us all about it. 19 00:01:06,560 --> 00:01:09,839 Speaker 2: Plus there's a viral story that I'm told is not true. 20 00:01:10,240 --> 00:01:12,280 Speaker 2: She'll talk about in more detail. But some of you 21 00:01:12,319 --> 00:01:15,800 Speaker 2: may have seen a report that the Philadelphia Eagles had 22 00:01:15,880 --> 00:01:19,600 Speaker 2: rejected a White House invite. They are the super Bowl champions. 23 00:01:19,640 --> 00:01:23,320 Speaker 2: You'll remember Trump certainly cheered at the Super Bowl. Many 24 00:01:23,720 --> 00:01:27,800 Speaker 2: of those people in attendance were Eagle fans. I'm told 25 00:01:27,880 --> 00:01:31,119 Speaker 2: by the White House that there has not been an 26 00:01:31,120 --> 00:01:35,520 Speaker 2: official offer extended to the Eagles and that there has 27 00:01:35,600 --> 00:01:39,039 Speaker 2: been no rejection that that was fake news. We'll get 28 00:01:39,040 --> 00:01:40,720 Speaker 2: into that maybe a little bit with May and then 29 00:01:40,760 --> 00:01:44,160 Speaker 2: the new head of the EPA, Lee's Eldon, former congressman 30 00:01:44,240 --> 00:01:47,680 Speaker 2: from New York, nearly beat Kathy Hokel in the twenty 31 00:01:47,720 --> 00:01:52,480 Speaker 2: twenty two governor's race. All of that coming in your 32 00:01:52,680 --> 00:01:57,040 Speaker 2: direction during the course of today's show. But Buck, yesterday, 33 00:01:58,120 --> 00:02:02,400 Speaker 2: I woke up on Sunday morning, rolled over to check 34 00:02:02,440 --> 00:02:05,840 Speaker 2: and see what the news of the day was, and 35 00:02:05,920 --> 00:02:11,519 Speaker 2: there was joy in the Twitter streets. MSNBC far left 36 00:02:11,560 --> 00:02:18,840 Speaker 2: wing moron host Joy Reid fired her show canceled as NBC. 37 00:02:19,080 --> 00:02:23,600 Speaker 2: The MSNBC panics as no one is watching their network 38 00:02:23,639 --> 00:02:27,240 Speaker 2: in the wake of Trump's electoral victory in November. And Buck, 39 00:02:27,320 --> 00:02:30,120 Speaker 2: before we play some of the best moments of Joy Reid. 40 00:02:30,760 --> 00:02:33,200 Speaker 2: To me, the biggest takeaway, and I'm curious what your 41 00:02:33,280 --> 00:02:36,720 Speaker 2: takeaway here would be, was in the wake of twenty 42 00:02:36,760 --> 00:02:41,640 Speaker 2: seventeen when Trump came into office. Being anti Trump and 43 00:02:41,680 --> 00:02:44,960 Speaker 2: a part of the resistance was great for The New 44 00:02:45,040 --> 00:02:51,640 Speaker 2: York Times, The Washington Post, CNN, MSNBC, NBC, CBS, ABC, 45 00:02:51,800 --> 00:02:56,760 Speaker 2: all of their audiences skyrocketed as they bought into the 46 00:02:56,800 --> 00:03:01,840 Speaker 2: hardcore Trump resistance. But so far as we sit over 47 00:03:01,880 --> 00:03:06,200 Speaker 2: a month into the Trump era, there is no rush 48 00:03:06,560 --> 00:03:10,520 Speaker 2: to support. There is no democracy dies in darkness equivalent. 49 00:03:10,919 --> 00:03:14,040 Speaker 2: The resistance, as you and I have talked about, is 50 00:03:14,160 --> 00:03:18,320 Speaker 2: actually sad. We watched the resistance march through the streets 51 00:03:18,360 --> 00:03:22,200 Speaker 2: of DC. The culture appears to have been has shifted, 52 00:03:22,520 --> 00:03:26,640 Speaker 2: and the business imperatives to be able to make money 53 00:03:26,919 --> 00:03:30,839 Speaker 2: are vastly different, and that, to me is the underlying 54 00:03:30,960 --> 00:03:35,840 Speaker 2: foundation of why Joy Reid got fired. Certainly, if there 55 00:03:35,880 --> 00:03:38,640 Speaker 2: were money to be made, I think MSNBC would have 56 00:03:38,680 --> 00:03:42,680 Speaker 2: continued to cash the checks. But she's an embarrassment, she's 57 00:03:42,760 --> 00:03:47,320 Speaker 2: a moron. Her show was not good, and the profitability 58 00:03:47,400 --> 00:03:49,640 Speaker 2: of that show has declined, which I think is the 59 00:03:49,680 --> 00:03:52,520 Speaker 2: signature takeaway of the big picture here. 60 00:03:53,560 --> 00:03:57,200 Speaker 3: You also have the step down of Lester Holt from NBC, 61 00:03:57,840 --> 00:04:01,320 Speaker 3: which was just announced before we came on the This 62 00:04:01,360 --> 00:04:04,760 Speaker 3: is part of the ongoing I wouldn't say shake up. 63 00:04:04,800 --> 00:04:08,200 Speaker 3: I would say reckoning that the Democrat aligned media is 64 00:04:08,280 --> 00:04:11,560 Speaker 3: going through right now, Because even if you were somebody 65 00:04:11,560 --> 00:04:13,560 Speaker 3: who liked Joy Reid and we got to get we 66 00:04:13,560 --> 00:04:16,880 Speaker 3: got a montage coming here, Oh we need a montage. 67 00:04:16,920 --> 00:04:18,960 Speaker 3: Even if for somebody who liked Joy Reid or you're 68 00:04:18,960 --> 00:04:23,359 Speaker 3: an MSNBC watcher, you do, I would think live in 69 00:04:23,400 --> 00:04:26,960 Speaker 3: reality enough that you can understand that everything they told 70 00:04:27,000 --> 00:04:29,279 Speaker 3: you that was going to happen did not happen, that 71 00:04:29,400 --> 00:04:32,320 Speaker 3: all the promises that they made were broken correct, and 72 00:04:32,360 --> 00:04:34,719 Speaker 3: that apparently they know nothing about American politics, or the 73 00:04:34,720 --> 00:04:39,080 Speaker 3: American electorate, or the justice system, or the prospects of 74 00:04:39,080 --> 00:04:43,400 Speaker 3: Donald Trump, all of the above. Right if you were 75 00:04:43,600 --> 00:04:47,720 Speaker 3: relying on these people to tell you what the American 76 00:04:47,839 --> 00:04:52,440 Speaker 3: future was going to look like, you are wildly disappointed 77 00:04:52,520 --> 00:04:52,960 Speaker 3: right now. 78 00:04:53,560 --> 00:04:56,039 Speaker 1: And more than that, I think people. 79 00:04:55,720 --> 00:04:59,240 Speaker 3: Are seeing their ideology that hasn't been really tested in 80 00:04:59,240 --> 00:05:02,840 Speaker 3: the public sphere, test in ways, and not just tested mocked. 81 00:05:03,080 --> 00:05:05,159 Speaker 3: It's being mocked and joy read. 82 00:05:05,520 --> 00:05:06,000 Speaker 1: I'll say this. 83 00:05:06,120 --> 00:05:07,840 Speaker 3: You know there's always a little part of me and 84 00:05:07,880 --> 00:05:09,640 Speaker 3: I'm sure you have the same thing, Clay. Do you 85 00:05:09,680 --> 00:05:12,840 Speaker 3: celebrate when somebody loses a job. She's made millions of dollars. 86 00:05:12,960 --> 00:05:15,320 Speaker 3: She's not poor. She's going to get a job somewhere else. 87 00:05:15,320 --> 00:05:15,640 Speaker 1: Okay. 88 00:05:15,760 --> 00:05:19,560 Speaker 3: This isn't celebrating when like the factory closes and guys 89 00:05:19,560 --> 00:05:21,760 Speaker 3: work in the assembly line don't have a paycheck to 90 00:05:21,760 --> 00:05:24,000 Speaker 3: pay there, Okay, because you know, the libs love it. 91 00:05:24,240 --> 00:05:27,080 Speaker 3: They celebrate whenever anyone on the right loses their job. 92 00:05:27,400 --> 00:05:29,760 Speaker 3: But then when someone like Joy Reid loses her show, 93 00:05:29,800 --> 00:05:32,880 Speaker 3: we're supposed to go, Oh, don't ever celebrate somebody else's lost. 94 00:05:33,120 --> 00:05:35,680 Speaker 3: She's a multimillionaire. She's going to be taken care of. 95 00:05:35,960 --> 00:05:38,960 Speaker 3: She'll get paid lots of money to do nothing somewhere else. Okay, 96 00:05:38,960 --> 00:05:42,200 Speaker 3: it's she's going to be fine. That's one thing that 97 00:05:42,240 --> 00:05:44,160 Speaker 3: I wanted to get out there because now we're about 98 00:05:44,200 --> 00:05:48,680 Speaker 3: to really have some fun and dive into Joy reads. 99 00:05:49,320 --> 00:05:49,599 Speaker 1: Great. 100 00:05:49,600 --> 00:05:52,120 Speaker 2: Are you ready for this? Clay Strap it in everybody. 101 00:05:52,160 --> 00:05:53,880 Speaker 2: I can't wait to hear it. I have not heard 102 00:05:53,920 --> 00:05:56,680 Speaker 2: this yet. I was waiting to be able to experience 103 00:05:56,720 --> 00:05:59,480 Speaker 2: it with all of you. This is producer Greg's work, right. 104 00:05:59,400 --> 00:06:00,040 Speaker 1: Let's give him. 105 00:06:01,760 --> 00:06:04,680 Speaker 3: Put on a beret. The artiste has gone to work 106 00:06:04,720 --> 00:06:07,200 Speaker 3: here he pulled it together. He edited over the weekend 107 00:06:07,560 --> 00:06:08,520 Speaker 3: cut for hit It. 108 00:06:08,680 --> 00:06:11,560 Speaker 4: We do have a fascist ground swell in parts of 109 00:06:11,560 --> 00:06:15,320 Speaker 4: this country, mainly among white men. He called himself big 110 00:06:15,720 --> 00:06:18,640 Speaker 4: b a l LS. That's what he calls himself. It 111 00:06:18,720 --> 00:06:21,760 Speaker 4: was a Nazi era on Twitter. That is back, and 112 00:06:21,920 --> 00:06:24,520 Speaker 4: Alon's doing it. Twitter now is useless to me. If 113 00:06:24,560 --> 00:06:27,239 Speaker 4: people like me are leaving, I don't know how Twitter survives. 114 00:06:27,279 --> 00:06:30,080 Speaker 4: Trump has two to eddies Putin and Andy law Musk 115 00:06:30,160 --> 00:06:34,040 Speaker 4: a far right dictatorial regime like Hitler's Germany or Franco's 116 00:06:34,040 --> 00:06:38,360 Speaker 4: Spain or Mussolini's Italy. Vice president Kamala Debbie Harris, She's 117 00:06:38,400 --> 00:06:40,920 Speaker 4: about to make history. She's about to become the first 118 00:06:40,920 --> 00:06:45,200 Speaker 4: woman President's an historic, flawlessly run campaign. She had Queen 119 00:06:45,279 --> 00:06:48,359 Speaker 4: Latifa never endorses anyone. Keep Hitler out the White House, 120 00:06:48,480 --> 00:06:50,520 Speaker 4: Hitler white House. We keeping them out. 121 00:06:50,600 --> 00:06:51,880 Speaker 1: Restoring the name. 122 00:06:51,960 --> 00:06:54,760 Speaker 4: For Bragg sure looks like an attempt to resegregate the 123 00:06:54,760 --> 00:06:59,640 Speaker 4: military extremist, right wing fascist type government in Florida. It's 124 00:06:59,640 --> 00:07:02,840 Speaker 4: a right wing fantasy land like disney World, but in hell. 125 00:07:03,080 --> 00:07:05,920 Speaker 4: Come to Florida, the meatest place on earth. The racist 126 00:07:06,080 --> 00:07:10,840 Speaker 4: tomahawk chop, the gesture and chant, promoting stereotypes, caricatures, and 127 00:07:10,840 --> 00:07:14,880 Speaker 4: frankly hatred of Native American people. Sports commentator turned right 128 00:07:14,920 --> 00:07:18,680 Speaker 4: wing political commentator Clay Travis called for Trump supporters in 129 00:07:18,680 --> 00:07:20,400 Speaker 4: New York City to try to get seated on the 130 00:07:20,440 --> 00:07:23,120 Speaker 4: jury and then refuse to convict. That is openly encouraging 131 00:07:23,160 --> 00:07:26,200 Speaker 4: jury tampering. Similarities to what happened in Germany and what's 132 00:07:26,200 --> 00:07:30,000 Speaker 4: happening now in America are just undeniable. History may not 133 00:07:30,040 --> 00:07:31,600 Speaker 4: repeat verbatim, but it sure does. 134 00:07:31,680 --> 00:07:36,520 Speaker 3: Rhyme, Oh, you got a shout out there in that montage? 135 00:07:36,680 --> 00:07:40,560 Speaker 3: What is your favorite of the joy Read isms? I 136 00:07:40,640 --> 00:07:43,200 Speaker 3: still think the greatest. I mean a lot of you know, Nazis, 137 00:07:43,280 --> 00:07:45,800 Speaker 3: and I don't like white Republicans and all that, But 138 00:07:45,960 --> 00:07:49,840 Speaker 3: to me, Kamala ran a flawless campaign because meing Atifa 139 00:07:49,880 --> 00:07:51,960 Speaker 3: endorsed her is the is the greatest thing Joy Read 140 00:07:51,960 --> 00:07:53,120 Speaker 3: has ever said on TV. 141 00:07:53,120 --> 00:07:56,000 Speaker 1: After she lost. That's Harmona, Lisa. 142 00:07:56,280 --> 00:07:59,960 Speaker 2: That's that's the one that I think her her entire 143 00:08:00,200 --> 00:08:03,440 Speaker 2: repertoire really kind of comes back to over and over again. 144 00:08:03,760 --> 00:08:06,600 Speaker 2: In fact here that is if that was part of 145 00:08:06,640 --> 00:08:08,600 Speaker 2: the montage, but it's cut seven, and. 146 00:08:08,680 --> 00:08:12,600 Speaker 1: Remember Joy Reid during the course. 147 00:08:12,400 --> 00:08:15,680 Speaker 2: Of Election Night on MSNBC, and let me before we 148 00:08:15,720 --> 00:08:18,440 Speaker 2: play that, let me also point this out. Buck, you said, Hey, 149 00:08:18,480 --> 00:08:20,360 Speaker 2: she's gonna continue to make money, She's gonna go else 150 00:08:20,640 --> 00:08:22,520 Speaker 2: Here is what I would say in general. 151 00:08:22,880 --> 00:08:25,320 Speaker 1: Have you seen anyone upset that her show was canceled. 152 00:08:26,560 --> 00:08:30,600 Speaker 2: Imagine that you have the opportunity, the luxury, the privilege 153 00:08:31,320 --> 00:08:34,720 Speaker 2: to talk to millions of people every night, to come 154 00:08:34,720 --> 00:08:39,679 Speaker 2: into their home, and when you lose your job, no 155 00:08:39,720 --> 00:08:42,680 Speaker 2: one cares because there is no one that is actually 156 00:08:42,760 --> 00:08:45,880 Speaker 2: a fan of you. This is what's happened with Don Lemon, 157 00:08:46,400 --> 00:08:49,440 Speaker 2: this is what has happened with Jim Acosta, this is 158 00:08:49,520 --> 00:08:52,480 Speaker 2: now what is happening with Joy Reid. Whatever you think 159 00:08:52,480 --> 00:08:57,280 Speaker 2: about Tucker, whatever you think about Bill O'Reilly. When their 160 00:08:57,360 --> 00:09:01,760 Speaker 2: shows ended on Fox News, people were really upset that 161 00:09:01,840 --> 00:09:04,000 Speaker 2: they were no longer there, and those guys have been 162 00:09:04,000 --> 00:09:08,080 Speaker 2: able to have careers elsewhere. Piers Morgan, Megan Kelly. There 163 00:09:08,120 --> 00:09:11,280 Speaker 2: are people who talk to you on television that develop 164 00:09:11,320 --> 00:09:14,679 Speaker 2: a connection and a relationship to such an extent that 165 00:09:14,960 --> 00:09:18,800 Speaker 2: you can continue with them and you'll follow them wherever 166 00:09:18,840 --> 00:09:21,079 Speaker 2: they go. I like to think, Buck, if one day 167 00:09:21,120 --> 00:09:23,320 Speaker 2: you or I weren't on this show and we were like, Hey, 168 00:09:23,559 --> 00:09:25,680 Speaker 2: we're going to go do x or Y that a 169 00:09:25,679 --> 00:09:27,480 Speaker 2: lot of you would be like, hey, I want to 170 00:09:27,520 --> 00:09:29,960 Speaker 2: go see what you're going to do somewhere else, because 171 00:09:30,240 --> 00:09:34,160 Speaker 2: we have a relationship with all of you. Joy doesn't 172 00:09:34,200 --> 00:09:38,319 Speaker 2: have any audience. I didn't see anybody complaining about her 173 00:09:38,400 --> 00:09:42,679 Speaker 2: being fired. There was a mass exultation, and it's because 174 00:09:42,679 --> 00:09:46,079 Speaker 2: of moronic takes like this, Kamala Harris, whatever you want 175 00:09:46,080 --> 00:09:48,240 Speaker 2: to say. According to Joy Reid, she really did run 176 00:09:48,280 --> 00:09:52,679 Speaker 2: a flawless campaign. She got endorsed by Queen Latifa and 177 00:09:52,760 --> 00:09:56,240 Speaker 2: Beyonce and Taylor Swift. That was the entirety of her 178 00:09:56,400 --> 00:09:58,600 Speaker 2: argument of how flawless the campaign was. 179 00:09:58,679 --> 00:10:04,800 Speaker 4: Listen, this really was an historic, flawlessly run campaign. She 180 00:10:04,880 --> 00:10:08,960 Speaker 4: had Queen Latina never endorses anyone she came, you know. 181 00:10:09,000 --> 00:10:13,960 Speaker 4: I mean, she had every prominent celebrity voice. She had, 182 00:10:14,200 --> 00:10:17,160 Speaker 4: She had the Taylor Swift is to the Swifties, she 183 00:10:17,240 --> 00:10:19,600 Speaker 4: had the beehive, Like, you could not have run a 184 00:10:19,600 --> 00:10:21,400 Speaker 4: better campaign in that short period of time. And I 185 00:10:21,480 --> 00:10:22,360 Speaker 4: think that's still true. 186 00:10:24,200 --> 00:10:26,760 Speaker 2: I mean, I don't even know that there's anyone on 187 00:10:26,800 --> 00:10:30,200 Speaker 2: the Kamala campaign buck that would say Kamala ran a 188 00:10:30,240 --> 00:10:31,160 Speaker 2: flawless campaign. 189 00:10:31,480 --> 00:10:36,720 Speaker 3: Joy reviews it as solidarity with a black female presidential candidate, 190 00:10:37,000 --> 00:10:39,880 Speaker 3: And she's just going to say that Kamala was awesome 191 00:10:39,920 --> 00:10:42,880 Speaker 3: no matter what Kamala did, and that that's what her 192 00:10:42,960 --> 00:10:47,400 Speaker 3: job was, essentially on MSNBC, to say whatever the left 193 00:10:47,440 --> 00:10:49,840 Speaker 3: wing wanted her to say at any point in time. 194 00:10:50,440 --> 00:10:55,400 Speaker 3: There's also often a real nastiness in her commentary. You know, 195 00:10:55,800 --> 00:10:59,320 Speaker 3: there was a there was a glee and anybody in 196 00:10:59,360 --> 00:11:02,120 Speaker 3: Trump world, by the way, j six people getting locked 197 00:11:02,160 --> 00:11:04,559 Speaker 3: up having their lives ruined, not a nice person. I mean, 198 00:11:04,679 --> 00:11:07,160 Speaker 3: I have I don't think she has any talent. I 199 00:11:07,240 --> 00:11:09,360 Speaker 3: think she's a DEI higher I think, and I think 200 00:11:09,360 --> 00:11:13,440 Speaker 3: everybody at MSNBC knew that. And I think that everything 201 00:11:13,480 --> 00:11:17,840 Speaker 3: about the media that we saw engaging in this kind 202 00:11:17,880 --> 00:11:23,080 Speaker 3: of commentary before Trump's win proves that they have no honesty, 203 00:11:23,120 --> 00:11:26,640 Speaker 3: They've no intellectual curiosity, they don't really know anything. And 204 00:11:27,280 --> 00:11:29,560 Speaker 3: it's a good thing that there has finally been a 205 00:11:29,640 --> 00:11:32,280 Speaker 3: walk away from this. Now there will be other left 206 00:11:32,280 --> 00:11:35,800 Speaker 3: wing voices that grow in some ways right the oldest 207 00:11:36,240 --> 00:11:38,280 Speaker 3: what is it, the oldest aphorism? A crisis is an 208 00:11:38,280 --> 00:11:41,640 Speaker 3: opportunity for people on the left right now we talk 209 00:11:41,720 --> 00:11:44,840 Speaker 3: about the politicians, for commentators as well. For someone to 210 00:11:44,880 --> 00:11:47,520 Speaker 3: come forward and be able to appeal to the left 211 00:11:47,520 --> 00:11:52,120 Speaker 3: who has not been essentially mauled, you know, hasn't had 212 00:11:52,160 --> 00:11:55,720 Speaker 3: their credibility fed into the woodshipper by the Trump machine 213 00:11:55,760 --> 00:11:59,040 Speaker 3: just completely running them over. That's I think an opportunity. 214 00:11:59,040 --> 00:12:00,959 Speaker 3: But we'll see who that is is, because right now 215 00:12:01,480 --> 00:12:02,400 Speaker 3: there's not even we. 216 00:12:02,400 --> 00:12:02,880 Speaker 1: Talk about this. 217 00:12:03,080 --> 00:12:05,079 Speaker 3: It'd be there's some things I know you've been doing. 218 00:12:05,080 --> 00:12:07,600 Speaker 3: Piers Morgan, which looks like fun. That's a left right show, 219 00:12:07,640 --> 00:12:10,880 Speaker 3: though right in peers refereeing, there's not a left wing show. 220 00:12:10,920 --> 00:12:12,200 Speaker 3: I mean, I don't think, because I don't even think 221 00:12:12,240 --> 00:12:14,160 Speaker 3: Bill mar is a left wing show. And I agree 222 00:12:14,160 --> 00:12:16,079 Speaker 3: on that there's not a left wing show that I 223 00:12:16,080 --> 00:12:17,760 Speaker 3: would go on right now, because there's nobody that I 224 00:12:17,800 --> 00:12:19,760 Speaker 3: care to speak to from the left who's worth the 225 00:12:20,200 --> 00:12:22,600 Speaker 3: worth the effort, worth the problem that's or you know, 226 00:12:22,679 --> 00:12:23,480 Speaker 3: the the irritation. 227 00:12:23,559 --> 00:12:24,800 Speaker 1: I would like to go on the View. 228 00:12:25,440 --> 00:12:27,200 Speaker 2: I would like to go on the View because of 229 00:12:27,200 --> 00:12:30,480 Speaker 2: the carnage that would ensue, not because I respect their 230 00:12:30,559 --> 00:12:33,400 Speaker 2: intelligence or the quality of their show, which is on 231 00:12:33,480 --> 00:12:36,720 Speaker 2: some level what you're saying. But just because the Jerry 232 00:12:36,800 --> 00:12:40,200 Speaker 2: Springer like nature of the appearance would go so viral, 233 00:12:40,240 --> 00:12:42,360 Speaker 2: you think that do you think they would you do 234 00:12:42,400 --> 00:12:43,240 Speaker 2: you think they would come. 235 00:12:43,120 --> 00:12:44,199 Speaker 1: At you right away? 236 00:12:44,400 --> 00:12:46,520 Speaker 3: Or would they try to pretend like they're going to 237 00:12:46,559 --> 00:12:47,959 Speaker 3: be respectful of the guests? 238 00:12:48,040 --> 00:12:48,240 Speaker 1: You know? 239 00:12:48,559 --> 00:12:52,280 Speaker 2: I mean, I bet every single person listening to us 240 00:12:52,360 --> 00:12:56,000 Speaker 2: right now would watch me going on the view, and 241 00:12:56,120 --> 00:12:59,559 Speaker 2: I wouldn't hold back. I wouldn't tiptoe up to anything. 242 00:12:59,040 --> 00:13:00,640 Speaker 2: I would argue with them. 243 00:13:00,679 --> 00:13:04,680 Speaker 3: But I'm I, if you know, I tend to err 244 00:13:04,720 --> 00:13:06,559 Speaker 3: on the side of polite, at least in the beginning. 245 00:13:07,040 --> 00:13:10,120 Speaker 3: Clay would just start throwing bombs right away, Clay is 246 00:13:10,160 --> 00:13:12,480 Speaker 3: throwing bombs, I'd be like, pardon me, ladies, we're having 247 00:13:12,520 --> 00:13:14,720 Speaker 3: an exchange of ideas here. Clay would just be like, 248 00:13:15,960 --> 00:13:18,559 Speaker 3: shut your faces. You know, we get right into it. 249 00:13:18,760 --> 00:13:22,720 Speaker 2: I react to the vibe under which I am talked to, 250 00:13:22,960 --> 00:13:25,680 Speaker 2: but also I have no filter, and that could be 251 00:13:25,720 --> 00:13:27,960 Speaker 2: good and bad, but it means that, you know, like 252 00:13:27,960 --> 00:13:31,079 Speaker 2: the University of Chicago thing that I did that went megaviral, 253 00:13:31,640 --> 00:13:35,760 Speaker 2: I wasn't planning to say the exact phraseology that I was. 254 00:13:35,880 --> 00:13:38,160 Speaker 2: But when she cut me off, for instance, and said, oh, 255 00:13:38,160 --> 00:13:39,440 Speaker 2: but Trump's a grandpa. 256 00:13:40,040 --> 00:13:42,240 Speaker 1: It's like, well, I'm going to react to that. 257 00:13:42,480 --> 00:13:44,440 Speaker 2: Or when they said if you watch that clip, oh, 258 00:13:44,480 --> 00:13:47,640 Speaker 2: Trump's an awful father, and I'm like, actually, his five 259 00:13:47,760 --> 00:13:50,720 Speaker 2: kids have a great deal of affection for him. I mean, 260 00:13:50,760 --> 00:13:52,679 Speaker 2: there are lots of things you can attack people for, 261 00:13:53,080 --> 00:13:56,280 Speaker 2: but when I see them as being completely dishonest, I 262 00:13:56,320 --> 00:13:57,160 Speaker 2: can't hold back. 263 00:13:57,240 --> 00:13:58,520 Speaker 1: I just naturally react. 264 00:13:58,920 --> 00:14:02,400 Speaker 2: I think it would be one of the most viral 265 00:14:02,520 --> 00:14:04,840 Speaker 2: moments in the view history if they had me on 266 00:14:04,960 --> 00:14:06,560 Speaker 2: I don't think they would have me on Buck because 267 00:14:06,559 --> 00:14:08,640 Speaker 2: I actually think it would go well for me and 268 00:14:08,679 --> 00:14:09,640 Speaker 2: poorly for them. 269 00:14:10,000 --> 00:14:12,280 Speaker 1: But actually they should, right, I'll tell you. 270 00:14:12,320 --> 00:14:14,920 Speaker 3: And having done this, I don't know if you've ever 271 00:14:14,960 --> 00:14:17,560 Speaker 3: been three or four on one before. I've done it 272 00:14:17,640 --> 00:14:20,520 Speaker 3: many times back in the day CNN and other places. 273 00:14:21,120 --> 00:14:23,480 Speaker 3: It's very hard because people talk over you and you 274 00:14:23,520 --> 00:14:25,440 Speaker 3: have so little time to talk, and then what they 275 00:14:25,480 --> 00:14:29,960 Speaker 3: do is they accuse you of interrupting them while they're 276 00:14:30,320 --> 00:14:34,440 Speaker 3: interrupting you, and and you know this, it's so Yes, 277 00:14:35,160 --> 00:14:37,080 Speaker 3: it would be interesting, it would be good television, but 278 00:14:37,080 --> 00:14:39,840 Speaker 3: I'm telling you it would turn into it would turn 279 00:14:39,840 --> 00:14:42,320 Speaker 3: into a melee very fast. Point being though, there's nobody 280 00:14:42,320 --> 00:14:43,800 Speaker 3: on the left you'd want to sit down with and say, 281 00:14:43,840 --> 00:14:45,400 Speaker 3: let's have a real exchange of let's have a real 282 00:14:45,440 --> 00:14:48,280 Speaker 3: exchange of ideas here, like let's really get into the 283 00:14:48,320 --> 00:14:52,280 Speaker 3: meat the substance of the debates in this country right now. 284 00:14:52,280 --> 00:14:54,160 Speaker 3: We'll come into this, come back into this in a second. 285 00:14:54,200 --> 00:14:56,360 Speaker 3: We have you even mentioned yet, Clay some of the 286 00:14:56,640 --> 00:14:59,560 Speaker 3: phenomenal dose stuff that is underway, would no definitely want 287 00:14:59,560 --> 00:15:02,200 Speaker 3: to get into, which I'm excited about. You know, more 288 00:15:02,240 --> 00:15:05,280 Speaker 3: eyes are on the economy these days, especially after Friday's 289 00:15:05,320 --> 00:15:08,360 Speaker 3: report on consumer confidence there was nearly a two percent 290 00:15:08,440 --> 00:15:11,680 Speaker 3: drop on the Dow Jones. In times like these, you 291 00:15:11,960 --> 00:15:15,560 Speaker 3: want to prepare now before things get rocky out there. 292 00:15:15,760 --> 00:15:18,240 Speaker 3: And that's where there's real value in owning gold as 293 00:15:18,320 --> 00:15:21,760 Speaker 3: part of your portfolio. It's a stable, solid investment and 294 00:15:21,800 --> 00:15:23,760 Speaker 3: whether you choose to place your gold investment in your 295 00:15:23,760 --> 00:15:26,520 Speaker 3: savings account or four to one k birch gold can 296 00:15:26,560 --> 00:15:29,000 Speaker 3: help you do that. Today the value of gold has 297 00:15:29,080 --> 00:15:31,240 Speaker 3: increased substantially in recent years. You can take a look 298 00:15:31,240 --> 00:15:33,160 Speaker 3: for yourself and just check the price of gold. Then 299 00:15:33,200 --> 00:15:36,760 Speaker 3: you'll see, especially over the past year or so gold 300 00:15:36,840 --> 00:15:39,840 Speaker 3: prevails in large part because it's a limited commodity, and 301 00:15:39,880 --> 00:15:42,920 Speaker 3: with all that inflation out there, it is a store 302 00:15:43,000 --> 00:15:46,760 Speaker 3: of value that's a hedge against that continue inflation chipping 303 00:15:46,920 --> 00:15:49,920 Speaker 3: away at your savings. I've been an investor in gold 304 00:15:50,000 --> 00:15:53,480 Speaker 3: for years, and I just recently purchased more myself from 305 00:15:53,480 --> 00:15:55,360 Speaker 3: my own private holdings from the. 306 00:15:55,320 --> 00:15:56,400 Speaker 1: Birch Gold Group. 307 00:15:56,640 --> 00:15:58,840 Speaker 3: Birch Gold Group also just released a new study on 308 00:15:58,880 --> 00:16:00,560 Speaker 3: how gold will fare in the true Trump Era, with 309 00:16:00,600 --> 00:16:03,440 Speaker 3: a forward by Donald Trump Junior. You get your free 310 00:16:03,440 --> 00:16:06,600 Speaker 3: copy along with Birch Gold's free information kit. Text my 311 00:16:06,680 --> 00:16:09,040 Speaker 3: name Buck, do the number ninety eight ninety eight ninety eight, 312 00:16:09,840 --> 00:16:13,000 Speaker 3: or go online to Birch Gold dot com slash buck again, 313 00:16:13,080 --> 00:16:15,240 Speaker 3: text my name Buck, do the number ninety eight ninety 314 00:16:15,280 --> 00:16:17,240 Speaker 3: eight ninety eight, or go online to Birch Gold dot 315 00:16:17,240 --> 00:16:20,240 Speaker 3: com slash buck for your free copy of the Ultimate 316 00:16:20,280 --> 00:16:22,000 Speaker 3: Guide for Gold in the Trump Era. 317 00:16:30,080 --> 00:16:33,880 Speaker 2: And we're joined now by AI and Cryptos. Are David Sachs, 318 00:16:33,880 --> 00:16:37,160 Speaker 2: super successful investor. I think the last time we talked 319 00:16:37,160 --> 00:16:40,200 Speaker 2: to you, David, was up in Milwaukee. You came by 320 00:16:40,360 --> 00:16:42,880 Speaker 2: our set, and we appreciate you coming by again. 321 00:16:42,960 --> 00:16:45,280 Speaker 3: Now, Host of the Host of the All In podcast 322 00:16:45,320 --> 00:16:47,160 Speaker 3: co host of it, which I have to mention because 323 00:16:47,200 --> 00:16:49,280 Speaker 3: my brother loves it and I have to always be like, well, 324 00:16:49,320 --> 00:16:51,160 Speaker 3: you listen to my show first, and he kind of 325 00:16:51,200 --> 00:16:51,960 Speaker 3: pleads the fifth. 326 00:16:52,000 --> 00:16:57,440 Speaker 2: So anyway, David, big news Apple announcing they're going to 327 00:16:57,520 --> 00:17:01,720 Speaker 2: invest five hundred billion dollars twenty thousand and jobs. You 328 00:17:01,760 --> 00:17:05,800 Speaker 2: are plugged in with the overall universe of tech better 329 00:17:05,840 --> 00:17:09,200 Speaker 2: than almost anybody. How would you assess the first month 330 00:17:09,359 --> 00:17:12,600 Speaker 2: of the Trump administration and what do you see and 331 00:17:12,720 --> 00:17:16,720 Speaker 2: hear from people in your universe as they are coming 332 00:17:16,760 --> 00:17:18,040 Speaker 2: to grips with the new Trump term. 333 00:17:18,080 --> 00:17:19,960 Speaker 1: How excited are they? What do they expect, what do 334 00:17:19,960 --> 00:17:20,920 Speaker 1: they want? What do they need? 335 00:17:22,240 --> 00:17:25,480 Speaker 5: Well, I think the first thirty days has just been incredible. 336 00:17:25,560 --> 00:17:28,520 Speaker 5: I mean really across the board. I mean, the president 337 00:17:28,720 --> 00:17:31,439 Speaker 5: has just begun the term with so much energy, so 338 00:17:31,560 --> 00:17:34,560 Speaker 5: much actions, so many executive orders. It's been a total 339 00:17:34,600 --> 00:17:39,120 Speaker 5: sea change. I mean just outside of economics and AI 340 00:17:39,240 --> 00:17:42,040 Speaker 5: and tech for a second, I mean the President's basically 341 00:17:42,040 --> 00:17:46,480 Speaker 5: solve the border crisis within days. Biden, for the last 342 00:17:46,520 --> 00:17:48,919 Speaker 5: year of his term pretended that he needed a congressional 343 00:17:48,960 --> 00:17:52,840 Speaker 5: action to do that, and this was somehow a problem 344 00:17:52,880 --> 00:17:56,240 Speaker 5: that was just unsolvable. And President Trump comes in there 345 00:17:56,240 --> 00:17:59,400 Speaker 5: and within days he's basically solved the border crisis. It's 346 00:17:59,440 --> 00:18:01,600 Speaker 5: just incredible, and so many other things are like that. 347 00:18:02,280 --> 00:18:05,479 Speaker 5: And so I would say there's an overall feeling in 348 00:18:05,520 --> 00:18:09,520 Speaker 5: the country right now that we can actually change things, 349 00:18:09,560 --> 00:18:11,840 Speaker 5: we can do things. I mean that the government seemed 350 00:18:11,920 --> 00:18:17,160 Speaker 5: to be this unfixable problem, just basically this bureaucracy that 351 00:18:17,320 --> 00:18:19,119 Speaker 5: you can never get anything done, and we just have 352 00:18:19,280 --> 00:18:22,399 Speaker 5: to live with a border crisis, we just have to 353 00:18:22,480 --> 00:18:25,480 Speaker 5: live with a two trillion dollar death set. And now 354 00:18:25,520 --> 00:18:28,400 Speaker 5: you see that Doge just going line by line through 355 00:18:28,400 --> 00:18:32,359 Speaker 5: the budget identifying the waste and fraud to eliminate that. 356 00:18:32,600 --> 00:18:36,439 Speaker 5: So I think there's just in general this can do attitude. 357 00:18:37,800 --> 00:18:40,240 Speaker 5: And I think that with respect to tech, it applies 358 00:18:40,280 --> 00:18:45,000 Speaker 5: to that as well. I mean, the President has promised 359 00:18:45,000 --> 00:18:49,720 Speaker 5: that we're going to be rescinding regulations unnecessary regulations for 360 00:18:49,800 --> 00:18:52,679 Speaker 5: every new regulation. I think the an Agency as to 361 00:18:52,720 --> 00:18:57,080 Speaker 5: proposed I mean, like tend more to eliminate. We shouldn't 362 00:18:57,080 --> 00:19:00,440 Speaker 5: be hard, just given the sheer number of regular relations 363 00:19:00,440 --> 00:19:04,200 Speaker 5: that we have hated. So I think in general there's 364 00:19:04,240 --> 00:19:07,480 Speaker 5: just a very optimistic attitude and I think even in 365 00:19:07,960 --> 00:19:12,399 Speaker 5: liberal Silicon Valley there is I would say, almost like 366 00:19:12,440 --> 00:19:16,480 Speaker 5: a a grudging appreciation for what President Trump is doing. 367 00:19:17,080 --> 00:19:19,760 Speaker 5: And you saw it the inauguration. The leaders of all 368 00:19:19,800 --> 00:19:22,600 Speaker 5: the major tech companies were there. It's a very different 369 00:19:22,640 --> 00:19:26,919 Speaker 5: attitude than I think in twenty sixteen, where you know, 370 00:19:27,119 --> 00:19:29,359 Speaker 5: I think a lot of parts of Silicon Valley solved 371 00:19:29,359 --> 00:19:32,960 Speaker 5: themselves as part of the resistance. Now I think they're 372 00:19:33,080 --> 00:19:35,959 Speaker 5: I think they're fairly positive about the Trump administration. That 373 00:19:36,520 --> 00:19:39,560 Speaker 5: they may not all be saying that publicly, but I 374 00:19:39,600 --> 00:19:41,520 Speaker 5: think they know that on the whole it's going to 375 00:19:41,560 --> 00:19:43,800 Speaker 5: be much better for business than the Biden administration. 376 00:19:44,520 --> 00:19:46,840 Speaker 3: David, it's buck appreciate you making the time for us 377 00:19:47,320 --> 00:19:50,719 Speaker 3: on the issue of AI. Got a lot of attention 378 00:19:50,800 --> 00:19:54,399 Speaker 3: recently because of that moment where everyone freaked out about 379 00:19:54,440 --> 00:19:57,280 Speaker 3: deep seek and is China going to get ahead of us? 380 00:19:57,280 --> 00:20:00,560 Speaker 3: And without getting into the weeds on that, I just 381 00:20:00,600 --> 00:20:03,720 Speaker 3: wanted to know, what do you think the strategic vision 382 00:20:03,800 --> 00:20:07,639 Speaker 3: is for the Trump administration to stay ahead of China 383 00:20:07,720 --> 00:20:11,440 Speaker 3: when it comes to AI, which obviously has enormous implications 384 00:20:11,440 --> 00:20:15,600 Speaker 3: for the economy, but even for things like defense and beyond. 385 00:20:15,720 --> 00:20:18,119 Speaker 3: So how do we make sure that we stay ahead 386 00:20:18,160 --> 00:20:20,080 Speaker 3: of China, And what's that strategy look like. 387 00:20:21,280 --> 00:20:24,280 Speaker 5: Well, the President has been really clear that we just 388 00:20:24,359 --> 00:20:28,119 Speaker 5: have to win the AI race. America has to maintain 389 00:20:28,160 --> 00:20:31,199 Speaker 5: this global leadership and even dominance is a word that 390 00:20:31,240 --> 00:20:33,520 Speaker 5: the President has used, and in his first week he 391 00:20:33,640 --> 00:20:37,840 Speaker 5: signed in an executive order stating that the gold administration 392 00:20:38,400 --> 00:20:42,000 Speaker 5: was to win the AI race and maintain our global 393 00:20:42,000 --> 00:20:46,280 Speaker 5: dominance in AI. And you're right about why. I mean. 394 00:20:46,440 --> 00:20:50,920 Speaker 5: AI I think is the most profound and significant new technology. 395 00:20:52,160 --> 00:20:54,160 Speaker 5: I think it will be, you know, of this decade. 396 00:20:54,840 --> 00:20:57,159 Speaker 5: I think it's a little bit like the Internet was 397 00:20:57,200 --> 00:21:00,680 Speaker 5: in the late nineties, but maybe even more than that. 398 00:21:01,400 --> 00:21:04,359 Speaker 5: It's going to have huge economic ramifications. And it's also 399 00:21:04,400 --> 00:21:07,680 Speaker 5: a dual use technology, so it has military applications as well. 400 00:21:08,200 --> 00:21:11,399 Speaker 5: If we lose the AI race to China, it's just 401 00:21:11,720 --> 00:21:15,320 Speaker 5: hard to imagine America maintaining its leadership in the world 402 00:21:15,440 --> 00:21:18,400 Speaker 5: as the most powerful country. So if you care about 403 00:21:18,400 --> 00:21:20,840 Speaker 5: the balance of power and you want America to be 404 00:21:20,960 --> 00:21:24,679 Speaker 5: number one, it's just really intolerable to think that we 405 00:21:24,720 --> 00:21:26,679 Speaker 5: can lose this AI race. So I think the President 406 00:21:26,720 --> 00:21:30,399 Speaker 5: understands that. One of the things he did in his 407 00:21:30,560 --> 00:21:34,400 Speaker 5: very first week was orcind this one hundred page Biden 408 00:21:34,480 --> 00:21:39,560 Speaker 5: EO that was a monstrosity of unnecessarily burden some regulations 409 00:21:40,040 --> 00:21:42,280 Speaker 5: and with a fair amount of regulatory capture in there 410 00:21:42,320 --> 00:21:46,280 Speaker 5: by certain companies. And so he, you know, with the President, 411 00:21:46,400 --> 00:21:49,600 Speaker 5: I think has a vision of allowing the tech ecosystem 412 00:21:49,640 --> 00:21:54,679 Speaker 5: to compete and use that competition to spur us forward. 413 00:21:55,560 --> 00:21:59,520 Speaker 5: At the same time, he's also identified certain critical enablers 414 00:21:59,560 --> 00:22:01,800 Speaker 5: or building blocks of the technology that he's going to 415 00:22:01,880 --> 00:22:06,280 Speaker 5: help unleash. And number one is energy because these new 416 00:22:06,400 --> 00:22:10,120 Speaker 5: AI data centers consume vast amounts of energy, much more. 417 00:22:10,160 --> 00:22:13,919 Speaker 5: You know that they're powered by GPUs as opposed to CPUs, 418 00:22:13,960 --> 00:22:17,800 Speaker 5: and GPUs use a lot more electricity. So we so 419 00:22:17,920 --> 00:22:21,800 Speaker 5: it's it's interesting the AI race is very connected to 420 00:22:23,000 --> 00:22:27,479 Speaker 5: the to the energy program that the President has and 421 00:22:27,560 --> 00:22:30,960 Speaker 5: so one will fuel the other. Then that's that's one 422 00:22:30,960 --> 00:22:33,399 Speaker 5: of the major things that the President is doing now 423 00:22:33,440 --> 00:22:34,800 Speaker 5: to make sure we win this race. 424 00:22:35,320 --> 00:22:38,800 Speaker 2: We're talking to David Zach's AI cryptos are part of 425 00:22:38,880 --> 00:22:42,960 Speaker 2: the Trump administration. You've known Elon Musk for a long time. 426 00:22:43,640 --> 00:22:47,800 Speaker 2: Elon voted for Joe Biden in twenty twenty I believe 427 00:22:47,800 --> 00:22:51,520 Speaker 2: he voted for Hillary in twenty sixteen. He didn't endorse 428 00:22:51,520 --> 00:22:55,320 Speaker 2: Trump officially until July, in the immediate aftermath of the 429 00:22:55,359 --> 00:23:00,280 Speaker 2: assassination attempt in Butler. When you see Elon being attacked 430 00:23:00,000 --> 00:23:03,639 Speaker 2: as some sort of far right wing zeloate for trying 431 00:23:03,680 --> 00:23:08,239 Speaker 2: to find fraud and waste in the federal government, what 432 00:23:08,400 --> 00:23:11,600 Speaker 2: is your reaction As somebody that's had a long personal 433 00:23:11,680 --> 00:23:15,320 Speaker 2: relationship with Elon, would you have ever believed that he 434 00:23:15,359 --> 00:23:17,479 Speaker 2: would be being attacked as a right wing zealot. 435 00:23:18,800 --> 00:23:20,879 Speaker 5: No, And I you know, I think you're right. This 436 00:23:20,920 --> 00:23:23,520 Speaker 5: goes back a long time. Elon was politically neutral for 437 00:23:23,560 --> 00:23:27,679 Speaker 5: the longest time, but he he leaned left or leaned Democrat. 438 00:23:27,760 --> 00:23:29,439 Speaker 5: I think he voted for Obama, and I think at 439 00:23:29,440 --> 00:23:31,480 Speaker 5: one point he voted I think he voted for Biden 440 00:23:31,880 --> 00:23:35,280 Speaker 5: or said he did, and I think that's public knowledge. 441 00:23:35,520 --> 00:23:38,080 Speaker 5: But you know, the Biden administration did everything possible to 442 00:23:38,119 --> 00:23:40,600 Speaker 5: alienate him, and it all started where I think at 443 00:23:40,640 --> 00:23:43,359 Speaker 5: the beginning of the Biden administration, they held an ev 444 00:23:43,640 --> 00:23:49,320 Speaker 5: summit at the Whitehouse, and you know, Biden didn't invite Elon, 445 00:23:49,359 --> 00:23:52,320 Speaker 5: who created Tesla, which is by far the most successful 446 00:23:52,359 --> 00:23:55,560 Speaker 5: electric vehicle company in the world, and is the sole 447 00:23:55,680 --> 00:24:00,280 Speaker 5: reason that we have an EV revolution and why United 448 00:24:00,320 --> 00:24:02,639 Speaker 5: States is a player in EV He's as opposed to 449 00:24:02,640 --> 00:24:05,600 Speaker 5: it all being China or some other country. And not 450 00:24:05,640 --> 00:24:08,080 Speaker 5: only was he not invited, Biden then goes up there 451 00:24:08,080 --> 00:24:10,960 Speaker 5: and gives credit to Mary Barraff for creating the EV 452 00:24:11,119 --> 00:24:14,119 Speaker 5: revolution when you know what she did at GM was 453 00:24:14,119 --> 00:24:18,320 Speaker 5: a total failure. And that was just pure cronyism for Biden. 454 00:24:18,359 --> 00:24:20,560 Speaker 5: I mean, that was the whole pattern of the Biden administration, 455 00:24:21,280 --> 00:24:24,680 Speaker 5: is making life harder for entrepreneurs and then rewarding their 456 00:24:24,720 --> 00:24:29,159 Speaker 5: supporters and cronies. And you know, that was just the beginning. 457 00:24:29,200 --> 00:24:32,880 Speaker 5: I got much worse after that. When Elon bought Twitter 458 00:24:33,040 --> 00:24:35,840 Speaker 5: and restored it to a free speech platform. That's when 459 00:24:35,840 --> 00:24:38,280 Speaker 5: the left really declared war on him. Let's just be 460 00:24:38,359 --> 00:24:41,440 Speaker 5: clear about that. I mean, Elon was a darling of 461 00:24:41,480 --> 00:24:46,120 Speaker 5: the left because again he was responsible for bringing about 462 00:24:46,160 --> 00:24:49,280 Speaker 5: the EV revolution, which in their view, would help solve 463 00:24:49,440 --> 00:24:51,439 Speaker 5: climate change. Whether you agree with that or not, that 464 00:24:51,600 --> 00:24:52,720 Speaker 5: was their view. 465 00:24:53,440 --> 00:24:54,520 Speaker 1: And it all. 466 00:24:54,480 --> 00:24:57,280 Speaker 5: Changed once he bought Twitter because he wanted to restore 467 00:24:57,359 --> 00:24:59,879 Speaker 5: free speech, and that's when they really came after him. 468 00:25:00,040 --> 00:25:02,320 Speaker 5: That's when you saw Biden say we got to look 469 00:25:02,359 --> 00:25:04,199 Speaker 5: at the sky, you know, from the White House podium, 470 00:25:04,200 --> 00:25:06,560 Speaker 5: we need to investigate him. And then they brought a 471 00:25:06,560 --> 00:25:13,640 Speaker 5: whole raft of ridiculous investigations in lawsuits. Tesla was investigated 472 00:25:13,680 --> 00:25:16,240 Speaker 5: for building a glass house or something absurd like that. 473 00:25:17,720 --> 00:25:21,879 Speaker 5: Space X, which has national security applications, was investigated for 474 00:25:22,240 --> 00:25:26,919 Speaker 5: not hiring enough asylum seekers, which is to say, illegal aliens, 475 00:25:27,160 --> 00:25:29,840 Speaker 5: which they're not even allowed to do under you know, 476 00:25:29,960 --> 00:25:33,160 Speaker 5: I TAR, which is a national security law. So you know, 477 00:25:33,440 --> 00:25:37,400 Speaker 5: the Biden administration did everything they could to alienate Elon 478 00:25:37,600 --> 00:25:41,320 Speaker 5: and then simultaneously just you know, higher level. This is 479 00:25:41,359 --> 00:25:43,480 Speaker 5: a feeling that was felt by people by many people 480 00:25:43,520 --> 00:25:46,760 Speaker 5: in Silicon Valley, like Marc Andreessen, where they felt like 481 00:25:46,800 --> 00:25:52,119 Speaker 5: the Biden administration was demonizing entrepreneurs and entrepreneurship. And you know, 482 00:25:52,200 --> 00:25:54,720 Speaker 5: these are all people, I mean in Silicon Valley who 483 00:25:54,800 --> 00:25:59,680 Speaker 5: started from a more liberal mindset and they gradually got 484 00:25:59,720 --> 00:26:05,520 Speaker 5: read pilled and moved Republican because frankly, the Democrats became socialists, 485 00:26:05,560 --> 00:26:09,040 Speaker 5: I mean, they became communists, or at least the faction 486 00:26:09,200 --> 00:26:13,760 Speaker 5: within the party that represents that hard left was in 487 00:26:13,800 --> 00:26:17,280 Speaker 5: control of domestic policies. So I think that is not 488 00:26:17,359 --> 00:26:21,600 Speaker 5: just Elonis. Lots of people got red pilled. But you know, 489 00:26:21,680 --> 00:26:24,200 Speaker 5: they didn't set out to be you know, they're not 490 00:26:24,359 --> 00:26:28,880 Speaker 5: They're not like right wingers. They just believe in allowing 491 00:26:28,880 --> 00:26:35,320 Speaker 5: America to compete, in allowing entrepreneurs to create new businesses. Socially, 492 00:26:35,359 --> 00:26:39,879 Speaker 5: they tend to be pretty modern or liberal. But but 493 00:26:39,880 --> 00:26:43,359 Speaker 5: but the Democratic Party just became so hard left that 494 00:26:43,800 --> 00:26:46,439 Speaker 5: they became toxic to anyone in the center. 495 00:26:48,440 --> 00:26:51,920 Speaker 2: David, you, I think that's such an interesting analysis. Buck 496 00:26:51,920 --> 00:26:53,720 Speaker 2: and I were out to dinner with a couple of 497 00:26:53,840 --> 00:26:56,840 Speaker 2: prominent business executives recently and. 498 00:26:56,960 --> 00:26:59,240 Speaker 1: They said that, and I know you were a huge 499 00:26:59,240 --> 00:26:59,679 Speaker 1: part of this. 500 00:27:00,200 --> 00:27:04,720 Speaker 2: Elon Firing seventy five or eighty percent of Twitter's employees 501 00:27:04,760 --> 00:27:07,720 Speaker 2: and actually ending up with the far more profitable business 502 00:27:08,240 --> 00:27:11,600 Speaker 2: was something that tons of managers, tons of owners have 503 00:27:11,680 --> 00:27:14,920 Speaker 2: thought about doing before. It seems to be the blueprint 504 00:27:15,000 --> 00:27:17,640 Speaker 2: now for what he's trying to do for fraud and waste. 505 00:27:17,960 --> 00:27:20,679 Speaker 2: How much fraud and waste do you think, based on 506 00:27:20,760 --> 00:27:23,800 Speaker 2: what you've seen there is in our government expenditures, And 507 00:27:23,960 --> 00:27:27,280 Speaker 2: how important was the experience of going through those cuts 508 00:27:27,280 --> 00:27:29,560 Speaker 2: at Twitter to giving you an idea what to do 509 00:27:29,600 --> 00:27:30,480 Speaker 2: here with the government. 510 00:27:31,840 --> 00:27:34,399 Speaker 5: Yeah, you know, I was there at Twitter for the 511 00:27:34,440 --> 00:27:38,600 Speaker 5: Twitter transition, and I mean it was really remarkable. So 512 00:27:39,560 --> 00:27:42,840 Speaker 5: Elon did some really simple things in hindsight that you 513 00:27:42,880 --> 00:27:45,840 Speaker 5: wonder why they'd never done before. So, you know, in 514 00:27:45,880 --> 00:27:49,640 Speaker 5: a tech company, engineers are the lifeblood of the company. 515 00:27:49,720 --> 00:27:53,159 Speaker 5: So Elon did something really simple. He just asked, or 516 00:27:53,200 --> 00:27:57,399 Speaker 5: he looked at the code repository and just search how 517 00:27:57,400 --> 00:28:01,600 Speaker 5: many engineers have actually written code, code checked in code 518 00:28:02,040 --> 00:28:04,919 Speaker 5: in the last several months, and something like only fifty 519 00:28:04,960 --> 00:28:09,680 Speaker 5: percent of the engineers at Twitter we're even writing code. 520 00:28:10,119 --> 00:28:12,080 Speaker 5: And you know that's their sole output. 521 00:28:13,680 --> 00:28:16,000 Speaker 3: So if you're scooping ice cream for a living and 522 00:28:16,000 --> 00:28:18,040 Speaker 3: you don't scoop any ice cream, that's a bad that's 523 00:28:18,040 --> 00:28:18,720 Speaker 3: a bad sign. 524 00:28:19,480 --> 00:28:21,840 Speaker 5: It's very easy to measure this, Yeah, I mean it's 525 00:28:21,920 --> 00:28:25,320 Speaker 5: very The outpoint is very easily measured. And you know, 526 00:28:25,359 --> 00:28:27,720 Speaker 5: I saw somebody, you know, I saw a former Twitter 527 00:28:27,760 --> 00:28:32,119 Speaker 5: employee on MSNBC complaining about this how DRACONI and Elon 528 00:28:32,359 --> 00:28:36,600 Speaker 5: was because she was required to, you know, do a 529 00:28:36,680 --> 00:28:39,960 Speaker 5: test to prove that she could code. Well. Sorry, the 530 00:28:40,000 --> 00:28:42,720 Speaker 5: reason why that happened is because half the Twitter employees 531 00:28:43,040 --> 00:28:46,640 Speaker 5: weren't checking in code. So then instead of just firing them, 532 00:28:46,720 --> 00:28:49,920 Speaker 5: Elon gave them a chance to complete a code exercise 533 00:28:49,960 --> 00:28:52,960 Speaker 5: to prove they actually could code. And if you know, 534 00:28:53,040 --> 00:28:55,280 Speaker 5: and if they weren't willing to prove that they could 535 00:28:55,280 --> 00:28:58,400 Speaker 5: code and they hadn't actually checked in code, they got fired. 536 00:28:58,480 --> 00:29:00,480 Speaker 5: I mean, it's just that they weren't doing the job 537 00:29:00,760 --> 00:29:02,720 Speaker 5: and it wasn't clear that they were capable of doing 538 00:29:02,720 --> 00:29:03,080 Speaker 5: the job. 539 00:29:03,520 --> 00:29:04,960 Speaker 3: David, we're going to be coming into a heart break 540 00:29:05,000 --> 00:29:06,440 Speaker 3: here in a second, So I just wanted to I 541 00:29:06,440 --> 00:29:08,240 Speaker 3: want to ask you one question that's crypto. 542 00:29:08,240 --> 00:29:09,680 Speaker 1: Over later we're speaking to David Sachs. 543 00:29:09,680 --> 00:29:11,760 Speaker 3: The crypto and ais are for the White House and 544 00:29:11,960 --> 00:29:15,440 Speaker 3: venture capitalists, for a lot of people who don't owin 545 00:29:15,920 --> 00:29:18,800 Speaker 3: own bitcoin and aren't necessarily involved in crypto. I think 546 00:29:18,840 --> 00:29:21,440 Speaker 3: the question is, and I'll just give you, sorry a 547 00:29:21,480 --> 00:29:24,360 Speaker 3: minute to explain this, or so, why does crypto matter 548 00:29:24,520 --> 00:29:26,640 Speaker 3: for everyone, for the country, for the economy, for the 549 00:29:26,640 --> 00:29:27,560 Speaker 3: Trump administration. 550 00:29:27,840 --> 00:29:29,880 Speaker 1: What is it that matters about this? 551 00:29:30,880 --> 00:29:34,080 Speaker 5: Well, I think crypto represents a new type of digital platform. 552 00:29:34,200 --> 00:29:37,960 Speaker 5: But for finance or for money, there's a few different 553 00:29:37,960 --> 00:29:41,560 Speaker 5: components to it. You got bitcoin, which is a store 554 00:29:41,560 --> 00:29:45,040 Speaker 5: of value. You've got stable coins for cerptenicy, a new 555 00:29:45,120 --> 00:29:49,040 Speaker 5: kind of payment system, and then you've got just blockchains 556 00:29:49,080 --> 00:29:52,120 Speaker 5: in general on which you can build new kinds of applications. 557 00:29:52,400 --> 00:29:54,840 Speaker 5: And I think it's still very early to say what 558 00:29:54,880 --> 00:29:56,840 Speaker 5: the innovation is going to be that comes from this, 559 00:29:57,080 --> 00:30:00,120 Speaker 5: but it's a burgeoning area. It's a new kind of 560 00:30:00,200 --> 00:30:03,800 Speaker 5: you call it decentralized computing platform, and new kinds of 561 00:30:03,840 --> 00:30:07,120 Speaker 5: financial applications can be written on it. And so it's 562 00:30:07,160 --> 00:30:10,120 Speaker 5: just it's because it is, I think, a really interesting 563 00:30:10,320 --> 00:30:13,800 Speaker 5: area of software. You just want that innovation happening in 564 00:30:13,840 --> 00:30:15,920 Speaker 5: the United States. And I think that what the Biden 565 00:30:15,960 --> 00:30:19,600 Speaker 5: administration was doing. They just literally declared war on crypto, 566 00:30:19,640 --> 00:30:22,120 Speaker 5: and they were doing everything in their power to kill 567 00:30:22,200 --> 00:30:25,760 Speaker 5: the industry, and they were driving all the entrepreneurship offshore. 568 00:30:26,280 --> 00:30:28,160 Speaker 5: And you know, I think what we want to do 569 00:30:28,480 --> 00:30:30,880 Speaker 5: is allow the innovation to happen here in America so 570 00:30:30,960 --> 00:30:34,640 Speaker 5: that it's the United States that ultimately benefits from these 571 00:30:34,680 --> 00:30:37,880 Speaker 5: startups and the innovation that they will bring. And there's 572 00:30:37,920 --> 00:30:40,120 Speaker 5: just no reason to kill this thing in the cradle. 573 00:30:40,640 --> 00:30:45,719 Speaker 5: Consumer protection can be achieved by having sensible rules around 574 00:30:45,760 --> 00:30:48,560 Speaker 5: what people are able to do. But keep in mind 575 00:30:48,720 --> 00:30:51,400 Speaker 5: that the biggest fraud in the history of crypto, which 576 00:30:51,440 --> 00:30:54,920 Speaker 5: was FTX, was offshore in the Bahamas. And that's what 577 00:30:54,960 --> 00:30:57,880 Speaker 5: happens when you drive you know these companies offshore, is 578 00:30:57,920 --> 00:31:00,680 Speaker 5: that it's hard to know the good ones the bad ones, 579 00:31:00,720 --> 00:31:02,440 Speaker 5: and so so part of the reason why I think 580 00:31:02,480 --> 00:31:05,680 Speaker 5: we want to allow crypto t happen in the US 581 00:31:05,840 --> 00:31:09,680 Speaker 5: and to sort of to allow the entrepreneurs to do 582 00:31:09,720 --> 00:31:12,640 Speaker 5: things onshore is that it makes it easier for them 583 00:31:12,680 --> 00:31:15,280 Speaker 5: to be supervised by regulators so that we can help 584 00:31:15,520 --> 00:31:17,120 Speaker 5: felt good ones from the bad ones. 585 00:31:17,880 --> 00:31:20,440 Speaker 3: David Sachs, Crypto and AIS are for the Trump White House, 586 00:31:20,480 --> 00:31:22,080 Speaker 3: So we're gonna need you to come back and talk 587 00:31:22,120 --> 00:31:25,200 Speaker 3: more about the future and amazing things if you would 588 00:31:25,240 --> 00:31:27,160 Speaker 3: make the time for us. So thank you so much 589 00:31:27,200 --> 00:31:28,040 Speaker 3: for coming on today. 590 00:31:28,800 --> 00:31:29,320 Speaker 5: Anytime. 591 00:31:30,600 --> 00:31:32,280 Speaker 1: Thank you. Team will be right back. 592 00:31:40,360 --> 00:31:44,040 Speaker 3: We are excited to be joined for the first time 593 00:31:44,120 --> 00:31:49,640 Speaker 3: today from the White House by May Mailman, Deputy Assistant 594 00:31:49,680 --> 00:31:52,080 Speaker 3: to the President and Senior Policies Strategist. 595 00:31:52,560 --> 00:31:55,480 Speaker 1: May welcome to Clay and Buck. Thanks thanks for calling in. 596 00:31:56,120 --> 00:31:57,360 Speaker 6: Hey, thanks for having me. 597 00:31:58,240 --> 00:32:00,880 Speaker 3: So we saw something get a lot of attention over 598 00:32:00,920 --> 00:32:05,040 Speaker 3: the weekend. Here a little exchange between the leader of 599 00:32:05,040 --> 00:32:08,640 Speaker 3: the free world, number forty seven, Donald J. Trump, President 600 00:32:08,640 --> 00:32:11,080 Speaker 3: of United States, and the governor of Maine. We wanted 601 00:32:11,120 --> 00:32:14,520 Speaker 3: everybody to hear how this exchange went May and then 602 00:32:15,040 --> 00:32:17,400 Speaker 3: have your reaction to it and what we should expect 603 00:32:17,440 --> 00:32:18,400 Speaker 3: is going to come from it. 604 00:32:18,400 --> 00:32:19,040 Speaker 1: Played the clip. 605 00:32:19,320 --> 00:32:23,080 Speaker 7: The NCAA has complied immediately, by the way, that's good. 606 00:32:23,160 --> 00:32:26,560 Speaker 7: But I understand Maine is the main here. The governor 607 00:32:26,560 --> 00:32:30,000 Speaker 7: of Maine here, are you not going to comply with it? 608 00:32:30,120 --> 00:32:33,360 Speaker 7: I'm complying with the state federal laws. Well we are 609 00:32:33,400 --> 00:32:36,200 Speaker 7: the federal law. Well you better do it. You better 610 00:32:36,280 --> 00:32:38,000 Speaker 7: do it because you're not going to get any federal 611 00:32:38,000 --> 00:32:39,800 Speaker 7: funding at all if you don't. And by the way, 612 00:32:39,840 --> 00:32:42,560 Speaker 7: your population, even though it's somewhat liberal orlo, I did 613 00:32:42,640 --> 00:32:46,400 Speaker 7: very well there. Your population doesn't want men playing in 614 00:32:46,440 --> 00:32:50,200 Speaker 7: women's sports. So you bet you better comply because otherwise 615 00:32:50,200 --> 00:32:53,520 Speaker 7: you're not getting any federal funding. See you call every 616 00:32:53,600 --> 00:32:55,640 Speaker 7: state good, I'll see you, and could I look forward 617 00:32:55,680 --> 00:32:57,640 Speaker 7: to that. That should be a really easy one. And 618 00:32:57,800 --> 00:32:59,840 Speaker 7: enjoy your life after, governor, because I don't think you'll 619 00:32:59,840 --> 00:33:01,440 Speaker 7: be in elected politics. 620 00:33:02,120 --> 00:33:04,520 Speaker 3: President Trump not messing around there. May and he's not 621 00:33:04,560 --> 00:33:07,320 Speaker 3: a man who's afraid of court either. What's going on here? 622 00:33:08,280 --> 00:33:12,840 Speaker 6: Yeah, well, Main's governor is an idiot, I think is 623 00:33:12,880 --> 00:33:17,240 Speaker 6: really how you can describe that, which is she wants 624 00:33:17,280 --> 00:33:21,120 Speaker 6: to lose all of her federal funding in order to 625 00:33:21,160 --> 00:33:25,680 Speaker 6: make sure that men win women's pole vaulting and can 626 00:33:25,760 --> 00:33:29,000 Speaker 6: watch women shower. Like, that's what this is about. And 627 00:33:29,080 --> 00:33:31,320 Speaker 6: guess what when she says she's going to comply with 628 00:33:31,360 --> 00:33:34,000 Speaker 6: federal law, great, I've got a good one for her. 629 00:33:34,080 --> 00:33:37,960 Speaker 6: It's called Title nine. And Title nine requires that women 630 00:33:38,040 --> 00:33:42,200 Speaker 6: be given equal opportunities and education programs. Women cannot be 631 00:33:42,280 --> 00:33:46,040 Speaker 6: given equal opportunities and education programs if they can't have 632 00:33:46,080 --> 00:33:47,959 Speaker 6: women's sports, if you can only give it, here's your 633 00:33:47,960 --> 00:33:50,240 Speaker 6: women's sports. Oh, also it has men in it, so 634 00:33:50,280 --> 00:33:54,120 Speaker 6: you're not giving women's sports at all, and you don't 635 00:33:54,160 --> 00:33:58,560 Speaker 6: make men have to face unfair competition, only the women, 636 00:33:58,840 --> 00:34:03,600 Speaker 6: and so that's not equal opportunity. And also by saying 637 00:34:03,640 --> 00:34:08,799 Speaker 6: women cannot have privacy, dignity, and the women who you've 638 00:34:08,800 --> 00:34:13,520 Speaker 6: talked to that have had to face this, their grades suffer, 639 00:34:13,719 --> 00:34:16,719 Speaker 6: they get stomach ulcers, they don't use the bathroom, they 640 00:34:16,719 --> 00:34:20,040 Speaker 6: don't use the locker rooms. Paul Scanlon at the University 641 00:34:20,080 --> 00:34:24,240 Speaker 6: of Pennsylvania would run home after swimming completely soaking wet 642 00:34:24,440 --> 00:34:27,520 Speaker 6: in Pennsylvania in winter. I mean, it's abusive to women, 643 00:34:27,880 --> 00:34:30,360 Speaker 6: and that's what Main's governor would like to do. 644 00:34:31,000 --> 00:34:32,879 Speaker 2: Okay, I want to hit you with some facts, because 645 00:34:32,920 --> 00:34:37,839 Speaker 2: I went on when this broke on Friday. Seventy nine 646 00:34:37,920 --> 00:34:41,680 Speaker 2: percent of Americans agree with President Trump here that men 647 00:34:41,719 --> 00:34:44,200 Speaker 2: shouldn't be competing in women's sports. That's according to the 648 00:34:44,200 --> 00:34:48,960 Speaker 2: New York Times. Ninety four percent of Republicans sixty seven 649 00:34:49,080 --> 00:34:54,200 Speaker 2: percent though of Democrats as well. May in addition to 650 00:34:54,239 --> 00:34:56,839 Speaker 2: the legality that you just laid out, I think you're 651 00:34:56,880 --> 00:35:01,320 Speaker 2: a Harvard walgrad a kind of an impressive thing. But also, 652 00:35:02,080 --> 00:35:07,240 Speaker 2: isn't the sheer public support for Trump in a state 653 00:35:07,400 --> 00:35:11,560 Speaker 2: that was, as he said, relatively close fifty two forty 654 00:35:11,640 --> 00:35:15,840 Speaker 2: five was how that came down closely in Maine against 655 00:35:15,960 --> 00:35:19,480 Speaker 2: Kamala and Trump won one of the electoral votes there. 656 00:35:19,880 --> 00:35:23,440 Speaker 2: Isn't it crazy that Maine's governor and Democrats in general 657 00:35:23,480 --> 00:35:26,400 Speaker 2: would pick this as the battleground based on what the 658 00:35:26,480 --> 00:35:28,360 Speaker 2: general public thinks of this issue. 659 00:35:29,080 --> 00:35:31,840 Speaker 6: Yeah, on one hand, I'm so glad they are because 660 00:35:31,840 --> 00:35:36,600 Speaker 6: it like it solidifies their lack of existence as a 661 00:35:36,640 --> 00:35:39,840 Speaker 6: serious political party. And on the other it's really sad 662 00:35:40,000 --> 00:35:46,720 Speaker 6: because you know, it's it's harming women. But after the 663 00:35:46,880 --> 00:35:49,239 Speaker 6: President Trump won the election, I think there was some 664 00:35:49,880 --> 00:35:53,040 Speaker 6: in the Democrat parties, Oh, you know, we need to 665 00:35:53,080 --> 00:35:55,120 Speaker 6: be normal, like let's try and be a little bit 666 00:35:55,160 --> 00:35:57,960 Speaker 6: more normal. And I said, no, don't. I don't think 667 00:35:58,000 --> 00:36:00,879 Speaker 6: they're going to be more normal because they can't. I mean, 668 00:36:00,920 --> 00:36:04,440 Speaker 6: they're so committed to this stuff. The first page of 669 00:36:04,600 --> 00:36:10,400 Speaker 6: their platform when they did their Democratic National Convention was 670 00:36:10,440 --> 00:36:13,440 Speaker 6: a land acknowledgment saying they weren't really in Chicago, they 671 00:36:13,440 --> 00:36:17,160 Speaker 6: were like in the ancestral homelands of the Okee Shanabi tribe. 672 00:36:17,640 --> 00:36:20,520 Speaker 6: That's where the Democrat Party is. And so of course 673 00:36:20,680 --> 00:36:25,239 Speaker 6: they are doubling and tripling down on women not having 674 00:36:25,280 --> 00:36:27,960 Speaker 6: a right to women's sports. And I don't exactly know 675 00:36:28,440 --> 00:36:30,840 Speaker 6: what's going to break them of this, but it's not 676 00:36:30,960 --> 00:36:33,600 Speaker 6: going to be Seth Moulton from Massachusetts say hey, hey, 677 00:36:33,600 --> 00:36:35,919 Speaker 6: can we be a little bit more normal because the 678 00:36:35,960 --> 00:36:39,000 Speaker 6: core of the party, the core of the party really 679 00:36:39,640 --> 00:36:42,640 Speaker 6: does believe this stuff. It's not like it's not what 680 00:36:42,680 --> 00:36:45,640 Speaker 6: the American public believes, but they believe it in their 681 00:36:45,719 --> 00:36:48,320 Speaker 6: core that it is a good, it's a national good 682 00:36:48,760 --> 00:36:50,080 Speaker 6: to have men and women's sports. 683 00:36:50,400 --> 00:36:52,960 Speaker 3: We're speaking of May Mailman, Deputy Assistant to the President 684 00:36:53,000 --> 00:36:55,959 Speaker 3: and Senior Policy Strategy. She's calling us from the White 685 00:36:56,000 --> 00:36:59,200 Speaker 3: House today and May, I don't know if you saw this, 686 00:36:59,280 --> 00:37:01,719 Speaker 3: but it goes to what you're talking about. There was 687 00:37:01,760 --> 00:37:05,080 Speaker 3: a clip in exchange between I think it was one 688 00:37:05,120 --> 00:37:08,719 Speaker 3: of the Pods Save guys, you know, those left wing 689 00:37:08,760 --> 00:37:10,720 Speaker 3: Obama era guys, and Bill Maher. 690 00:37:10,760 --> 00:37:11,759 Speaker 1: It's definitely Bill Maher. 691 00:37:12,560 --> 00:37:16,960 Speaker 3: So it's a Democrat and Bill Maher and he says, essentially, 692 00:37:17,080 --> 00:37:19,680 Speaker 3: if you guys don't stop with this gender transition for 693 00:37:19,840 --> 00:37:22,200 Speaker 3: minors stuff, you're going to lose every election for the 694 00:37:22,200 --> 00:37:25,560 Speaker 3: foreseeable future. And what's fascinating is the Democrat again I 695 00:37:25,600 --> 00:37:29,160 Speaker 3: forget the guy's name, is like horrified by this idea 696 00:37:29,239 --> 00:37:32,360 Speaker 3: and thinks, oh no, we have to double and triple 697 00:37:32,440 --> 00:37:35,160 Speaker 3: down on gender transitions for miners. 698 00:37:37,440 --> 00:37:43,240 Speaker 6: Yeah, this is the thing. So Main's governor is no leader, 699 00:37:43,640 --> 00:37:46,560 Speaker 6: She is a follower and she is following her party. 700 00:37:46,600 --> 00:37:50,640 Speaker 6: And so when Letitia James says, all of the hospitals 701 00:37:50,680 --> 00:37:53,400 Speaker 6: in New York are going to continue to mutilate miners, 702 00:37:53,680 --> 00:37:58,360 Speaker 6: mutilate and castrate miners. When California says this, when Minnesota 703 00:37:58,400 --> 00:38:02,160 Speaker 6: says this, you know, Janet Mills just wants to be 704 00:38:02,239 --> 00:38:05,560 Speaker 6: part of the cool kids club. But it's it's pretty 705 00:38:05,560 --> 00:38:08,440 Speaker 6: pathetic because the Democrat Party doesn't actually have a leader, 706 00:38:08,800 --> 00:38:11,480 Speaker 6: and so all of these people who are trying to 707 00:38:11,719 --> 00:38:14,400 Speaker 6: be woke, like who are you? Who are you showing 708 00:38:14,400 --> 00:38:16,600 Speaker 6: off for Chuck Schumer? I mean, who's the leader of 709 00:38:16,640 --> 00:38:21,080 Speaker 6: the Democratic Party AOC. Who's actually making decisions? There's nobody, 710 00:38:21,360 --> 00:38:24,120 Speaker 6: and so that's who's making decisions. It's like the liberal 711 00:38:24,120 --> 00:38:27,439 Speaker 6: professors on Blue Sky. It's like the people who used 712 00:38:27,480 --> 00:38:31,520 Speaker 6: to censor us on Twitter. That's who's leading the Democratic 713 00:38:31,560 --> 00:38:33,920 Speaker 6: Party is nobody. It's a mob. It's a mob of 714 00:38:34,000 --> 00:38:37,920 Speaker 6: woke idiots who are over educated sitting in their parents' basement. 715 00:38:38,200 --> 00:38:40,440 Speaker 6: And so that's a real problem that the Democrats have 716 00:38:40,600 --> 00:38:44,000 Speaker 6: to respond to. It's the pod save guys getting everybody 717 00:38:44,000 --> 00:38:46,480 Speaker 6: worked up. But that victim culture of oh my god, 718 00:38:46,719 --> 00:38:48,920 Speaker 6: this is terrible, this is terrible. I'm you know, we 719 00:38:49,000 --> 00:38:51,399 Speaker 6: need more men and women's sports. It is a lack 720 00:38:51,440 --> 00:38:53,840 Speaker 6: of leadership in the Democrat Party, and I don't actually 721 00:38:53,880 --> 00:38:55,400 Speaker 6: see a leader emerging who's normal. 722 00:38:56,440 --> 00:38:57,080 Speaker 1: We're talking. 723 00:38:57,120 --> 00:38:59,839 Speaker 2: We appreciate her calling in from the White House right now, 724 00:39:00,040 --> 00:39:05,040 Speaker 2: a mailman. You just were talking about the experience on Friday. 725 00:39:05,520 --> 00:39:06,200 Speaker 1: There is a. 726 00:39:06,239 --> 00:39:09,240 Speaker 2: Report that I believe it was the chief of staff 727 00:39:09,400 --> 00:39:15,160 Speaker 2: or one of the main governor's associates that was outraged 728 00:39:15,280 --> 00:39:19,160 Speaker 2: by the president's interaction with the main governor. Did you 729 00:39:19,280 --> 00:39:21,879 Speaker 2: see that. I'm sure you saw the reporting on it. 730 00:39:21,920 --> 00:39:24,640 Speaker 2: What was the vibe in the room after the interaction, like. 731 00:39:25,680 --> 00:39:29,799 Speaker 6: Okay, so this is hilarious but also so telling. So yeah, 732 00:39:30,239 --> 00:39:34,400 Speaker 6: this the governor's meeting, which was on Friday, forty six governors. 733 00:39:34,400 --> 00:39:37,000 Speaker 6: This is a bipartisan event. We're talking about a super 734 00:39:37,040 --> 00:39:38,719 Speaker 6: by part is an issue which is no men in 735 00:39:38,760 --> 00:39:41,520 Speaker 6: women's sports. And of course then the governor remains stands 736 00:39:41,560 --> 00:39:44,120 Speaker 6: up and says I'm going to ensue you basically, and yeah, 737 00:39:44,120 --> 00:39:46,319 Speaker 6: it was tense in the room. Is crazy, I mean, 738 00:39:46,400 --> 00:39:49,279 Speaker 6: the president has invited you into his home and here 739 00:39:49,320 --> 00:39:52,880 Speaker 6: you are acting in transigent and also on such an 740 00:39:52,920 --> 00:39:56,120 Speaker 6: unpopular issue. So the next morning at nine am, the 741 00:39:56,239 --> 00:39:59,680 Speaker 6: chiefs of staff come in to ask any questions that 742 00:39:59,719 --> 00:40:03,360 Speaker 6: they'd like to the White House staff and one of 743 00:40:03,360 --> 00:40:07,640 Speaker 6: the White House staffers, great guy, Alex Meyer, really nice kid, 744 00:40:07,920 --> 00:40:12,720 Speaker 6: and Maine the main chief of staff comes up and says, 745 00:40:13,320 --> 00:40:15,480 Speaker 6: you know, I hate you. Basically I want to do 746 00:40:15,520 --> 00:40:18,000 Speaker 6: all this women's sports and we said no, you've got 747 00:40:18,040 --> 00:40:21,000 Speaker 6: to you got to save women's sports for women, and 748 00:40:21,040 --> 00:40:24,200 Speaker 6: he said f u u asshole and stormed out of 749 00:40:24,239 --> 00:40:27,320 Speaker 6: the room. So this is this is the childish behavior 750 00:40:27,560 --> 00:40:30,680 Speaker 6: of the state of Maine is screaming that you're an 751 00:40:30,680 --> 00:40:35,360 Speaker 6: a hole to the head of inter governmental affairs at 752 00:40:35,400 --> 00:40:37,160 Speaker 6: the White House and marching out. 753 00:40:37,680 --> 00:40:39,000 Speaker 1: So this is crazy to me. 754 00:40:39,040 --> 00:40:42,959 Speaker 2: I appreciate you sharing this story because I've I've heard 755 00:40:42,960 --> 00:40:47,760 Speaker 2: it happened. But I mean for the governor of Maine. Again, 756 00:40:48,080 --> 00:40:51,760 Speaker 2: this is a state that Trump won an electoral vote from, 757 00:40:52,280 --> 00:40:56,560 Speaker 2: and I would imagine an overwhelming number because we took 758 00:40:56,600 --> 00:40:59,680 Speaker 2: calls on Friday from Maine residents actually agree with the 759 00:40:59,680 --> 00:41:03,160 Speaker 2: President in here. That's kind of a crazy thing for 760 00:41:03,239 --> 00:41:05,439 Speaker 2: the chief of staff to be doing, right, I mean, 761 00:41:06,320 --> 00:41:08,880 Speaker 2: from any state in the White House, I think, but 762 00:41:09,040 --> 00:41:12,120 Speaker 2: to react like this to something that the overwhelming majority 763 00:41:12,160 --> 00:41:15,160 Speaker 2: of your citizens would support has to be kind of staggering. 764 00:41:15,200 --> 00:41:15,719 Speaker 1: Even to you. 765 00:41:16,600 --> 00:41:16,799 Speaker 5: Yeah. 766 00:41:16,840 --> 00:41:20,600 Speaker 6: I mean, this is a total activist. So he's a 767 00:41:20,800 --> 00:41:25,600 Speaker 6: former Planned Parenthood staffer. Just activism is very much in 768 00:41:25,719 --> 00:41:30,359 Speaker 6: his DNA and Alex Meyer and the White House said 769 00:41:30,400 --> 00:41:33,719 Speaker 6: that this guy had his full speech prepared. He wanted 770 00:41:34,000 --> 00:41:37,759 Speaker 6: to make a name for himself, and so, you know what, 771 00:41:38,000 --> 00:41:40,479 Speaker 6: you do have a name for yourself. Now you're known 772 00:41:40,680 --> 00:41:46,240 Speaker 6: as an unhinged lunatic who's screaming at random White House staffers. 773 00:41:46,440 --> 00:41:49,960 Speaker 6: But you know who wasn't surprised was the Republicans in 774 00:41:50,000 --> 00:41:53,600 Speaker 6: the state of Maine who came up right after this 775 00:41:53,719 --> 00:41:56,520 Speaker 6: story broke and said, We've been dealing with this guy forever. 776 00:41:57,000 --> 00:41:59,080 Speaker 6: So this chief of staff for the State of Maine 777 00:41:59,160 --> 00:42:02,040 Speaker 6: basically treats himself as a mini governor and has been 778 00:42:02,160 --> 00:42:06,440 Speaker 6: lording over all the people of Maine, being totally impossible 779 00:42:06,440 --> 00:42:09,880 Speaker 6: to work with. And apparently even after he had stormed 780 00:42:09,880 --> 00:42:12,279 Speaker 6: out of the room, which was totally for theatrics, he 781 00:42:12,320 --> 00:42:14,000 Speaker 6: still really needed to stay in the room because he 782 00:42:14,040 --> 00:42:16,960 Speaker 6: wanted to touch base with people. He might have had 783 00:42:16,960 --> 00:42:19,800 Speaker 6: some more questions, and so he actually just lurked outside 784 00:42:19,880 --> 00:42:22,160 Speaker 6: the room. So he stormed off, and instead of going anywhere, 785 00:42:22,160 --> 00:42:24,680 Speaker 6: he just stayed out like, right outside. 786 00:42:24,360 --> 00:42:27,279 Speaker 3: The room, may did you have any idea when you 787 00:42:27,320 --> 00:42:29,120 Speaker 3: signed up to work in this White House that the 788 00:42:29,160 --> 00:42:31,840 Speaker 3: first sixty days or first thirty days rather going on 789 00:42:31,920 --> 00:42:36,160 Speaker 3: sixty now was going to be just such a blizzard 790 00:42:36,360 --> 00:42:37,839 Speaker 3: of activity. 791 00:42:39,120 --> 00:42:42,080 Speaker 6: So I did and I didn't. So I was here 792 00:42:42,120 --> 00:42:46,360 Speaker 6: all four years last time, and it was busy. The 793 00:42:46,360 --> 00:42:50,600 Speaker 6: first one hundred days were busy, but it was nothing 794 00:42:51,160 --> 00:42:54,239 Speaker 6: like this. And I didn't do transition during Trump one 795 00:42:54,320 --> 00:42:57,520 Speaker 6: point zero, but I did transition this time. And so 796 00:42:57,600 --> 00:42:59,839 Speaker 6: I can tell you I kind of knew because we 797 00:42:59,840 --> 00:43:02,600 Speaker 6: were preparing all the executive orders, and I could tell 798 00:43:02,640 --> 00:43:04,640 Speaker 6: it was going to be busy. But one thing that 799 00:43:04,680 --> 00:43:08,840 Speaker 6: I didn't anticipate is the first time we'd sign a 800 00:43:08,840 --> 00:43:10,960 Speaker 6: lot of things, they would say a lot of words 801 00:43:11,560 --> 00:43:13,880 Speaker 6: and then it would be like pulling teeth trying to 802 00:43:13,880 --> 00:43:16,120 Speaker 6: get people actually do them, and there was a lot 803 00:43:16,160 --> 00:43:20,800 Speaker 6: of disagreement. And now we'll sign something and people implement 804 00:43:20,880 --> 00:43:25,720 Speaker 6: them way more aggressively than I even wrote them. I'm like, oh, wow, 805 00:43:25,719 --> 00:43:28,959 Speaker 6: you didn't need to do it that. The implementation has 806 00:43:29,080 --> 00:43:32,600 Speaker 6: been night and day different. So it keeps us all 807 00:43:32,600 --> 00:43:34,920 Speaker 6: on our toes. It's a lot of work, but I 808 00:43:34,920 --> 00:43:39,000 Speaker 6: think part of it is everybody's inspired, very inspirational by 809 00:43:39,000 --> 00:43:43,800 Speaker 6: the last four years of basically crisis in this country, 810 00:43:43,840 --> 00:43:46,520 Speaker 6: and so people are working at a different pace. 811 00:43:47,600 --> 00:43:50,359 Speaker 2: May, we'll have you on again soon. Love you with 812 00:43:50,440 --> 00:43:53,400 Speaker 2: the insider stories here. Keep fighting the good fight and 813 00:43:53,480 --> 00:43:54,360 Speaker 2: appreciate the time. 814 00:43:54,800 --> 00:43:55,879 Speaker 6: All right, thanks for having me. 815 00:43:56,600 --> 00:43:58,320 Speaker 1: That's May Melman and Buck. 816 00:43:58,440 --> 00:44:02,760 Speaker 2: That story wow, I mean the main chief of staff 817 00:44:02,800 --> 00:44:04,759 Speaker 2: losing his mind will open up phone lines. We got 818 00:44:04,800 --> 00:44:06,960 Speaker 2: a bunch of things still coming your way, Lee Zelden 819 00:44:07,000 --> 00:44:09,440 Speaker 2: at the top of the next hour. But I bet 820 00:44:09,480 --> 00:44:13,480 Speaker 2: some main residents would like to weigh in on that, 821 00:44:13,600 --> 00:44:16,920 Speaker 2: because I don't know that that story has really gotten 822 00:44:16,960 --> 00:44:19,239 Speaker 2: out there the reaction the next day. So if we 823 00:44:19,280 --> 00:44:22,200 Speaker 2: can clip and share that team, I think that'll do well. 824 00:44:22,280 --> 00:44:27,640 Speaker 2: In the meantime, look headed into hopefully spring. Hopefully it's 825 00:44:27,640 --> 00:44:29,239 Speaker 2: starting to get a little bit warmer for some of 826 00:44:29,239 --> 00:44:31,080 Speaker 2: you out there. Maybe it's time to get out in grill, 827 00:44:31,440 --> 00:44:34,319 Speaker 2: Maybe it's time to be able to sit outside a 828 00:44:34,360 --> 00:44:36,320 Speaker 2: little bit. It's going to be sixty some odd degrees 829 00:44:36,360 --> 00:44:39,920 Speaker 2: in Tennessee, finally starting to fill a little bit like spring. 830 00:44:40,040 --> 00:44:42,719 Speaker 2: And I'm already looking forward Buck to the idea of 831 00:44:42,760 --> 00:44:45,080 Speaker 2: being able to sit outside and eat some of my 832 00:44:45,160 --> 00:44:49,960 Speaker 2: Good Ranchers, which is phenomenal beef that comes from cattle 833 00:44:50,000 --> 00:44:53,000 Speaker 2: born and raised right here in the good Old USA. 834 00:44:53,120 --> 00:44:57,400 Speaker 2: Same for their chicken and also for their salmon. You 835 00:44:57,440 --> 00:45:02,640 Speaker 2: can get all sorts of meat out there, whether it's beef, chicken, salmon, 836 00:45:02,840 --> 00:45:05,759 Speaker 2: whatever you like, sent straight to your home from our 837 00:45:05,800 --> 00:45:09,520 Speaker 2: friends at Good Ranchers. No antibiotics in the meats, no 838 00:45:09,640 --> 00:45:14,080 Speaker 2: added hormones, no seed oils, just great tasting beef, chicken, 839 00:45:14,080 --> 00:45:17,600 Speaker 2: and salmon, all raised by ranchers. That's why they're called 840 00:45:17,840 --> 00:45:20,880 Speaker 2: Good Ranchers website good ranchers dot com. 841 00:45:20,920 --> 00:45:21,680 Speaker 1: You're gonna love it. 842 00:45:21,800 --> 00:45:23,759 Speaker 2: Your family will love it, just like we do here 843 00:45:23,760 --> 00:45:26,600 Speaker 2: in the Travis Household. You can use my name Clay 844 00:45:26,680 --> 00:45:29,720 Speaker 2: to save twenty five dollars off your purchase. In fact, 845 00:45:30,560 --> 00:45:33,280 Speaker 2: we've got so much coming into the house we've actually 846 00:45:33,320 --> 00:45:36,319 Speaker 2: given some to friends in the neighborhood so they can 847 00:45:36,360 --> 00:45:38,719 Speaker 2: try it out as well, and it has been fabulous, 848 00:45:38,840 --> 00:45:43,239 Speaker 2: universally positive reviews everywhere. Get signed up right now for 849 00:45:43,520 --> 00:45:47,600 Speaker 2: your healthyfood at the house good ranchers dot com my 850 00:45:47,760 --> 00:45:50,399 Speaker 2: name Clay for twenty five dollars off when you make 851 00:45:50,440 --> 00:45:51,000 Speaker 2: your purchase. 852 00:45:51,040 --> 00:45:52,919 Speaker 1: That's goodranchers dot com. 853 00:45:52,920 --> 00:46:04,080 Speaker 2: My name Clay twenty five bucks off. Welcome back in 854 00:46:04,320 --> 00:46:07,440 Speaker 2: Clay Travis buck Sexton Show. Appreciate all of you hanging 855 00:46:07,480 --> 00:46:09,920 Speaker 2: out with us. We're rolling through the Monday edition of 856 00:46:09,960 --> 00:46:13,360 Speaker 2: the program. Encourage you to all go subscribe to the 857 00:46:13,440 --> 00:46:15,480 Speaker 2: podcast Clay Travis. 858 00:46:15,480 --> 00:46:17,520 Speaker 1: You can search out my name, search out buck Sexton. 859 00:46:17,600 --> 00:46:22,280 Speaker 2: Numbers came out recently ranking podcast audiences, and the show 860 00:46:22,440 --> 00:46:25,520 Speaker 2: was one of the three or four most listened to 861 00:46:25,800 --> 00:46:29,279 Speaker 2: podcasts in all of politics according to those rankings. I 862 00:46:29,320 --> 00:46:32,120 Speaker 2: shared them last week and that's a credit to you guys, 863 00:46:32,120 --> 00:46:35,919 Speaker 2: because obviously we're on five hundred stations nationwide and all 864 00:46:35,960 --> 00:46:38,520 Speaker 2: fifty states, and we appreciate all of you out there listening, 865 00:46:38,719 --> 00:46:41,720 Speaker 2: both in the United States and frankly around the world 866 00:46:41,719 --> 00:46:44,279 Speaker 2: and on podcast. So thanks to everybody out there. We're 867 00:46:44,360 --> 00:46:47,120 Speaker 2: joined now by the new head of the EPA. He 868 00:46:47,480 --> 00:46:50,960 Speaker 2: is Lee Zelden, and Lee, we appreciate the time. We 869 00:46:51,000 --> 00:46:54,120 Speaker 2: know you've been diving into how the money is being 870 00:46:54,160 --> 00:46:58,719 Speaker 2: spent at the EPA, and you are already uncovering some 871 00:46:59,360 --> 00:47:02,239 Speaker 2: frankly buried secrets that don't have a lot to do 872 00:47:02,360 --> 00:47:05,359 Speaker 2: with the environment. Or protection. Now, what can you tell 873 00:47:05,440 --> 00:47:06,759 Speaker 2: us about what you found so far? 874 00:47:07,080 --> 00:47:09,239 Speaker 8: It's great to be with you guys. Yes, tens of 875 00:47:09,239 --> 00:47:11,320 Speaker 8: billions of dollars. When I was going through my Senate 876 00:47:11,320 --> 00:47:15,279 Speaker 8: confirmation process, there was this video that came out. I'm 877 00:47:15,320 --> 00:47:18,320 Speaker 8: sure both of you guys saw where the Biden EPA 878 00:47:18,400 --> 00:47:21,880 Speaker 8: political appointee, was talking about how they were throwing gold 879 00:47:21,920 --> 00:47:25,720 Speaker 8: bars off the Titanic. Says that multiple times in the video, 880 00:47:25,880 --> 00:47:28,200 Speaker 8: talks about how he's trying to that they are trying 881 00:47:28,239 --> 00:47:31,880 Speaker 8: to get themselves jobs at the recipient NGOs and the 882 00:47:32,000 --> 00:47:34,600 Speaker 8: senators I was meeting with at the time were asking 883 00:47:34,680 --> 00:47:37,000 Speaker 8: for me to commit which was a pretty easy commitment 884 00:47:37,040 --> 00:47:40,680 Speaker 8: for me to make that once I was confirmed, I 885 00:47:40,680 --> 00:47:43,520 Speaker 8: would come in and try to find these gold bars. Well, 886 00:47:43,600 --> 00:47:46,759 Speaker 8: it didn't take us much time to start finding all 887 00:47:46,880 --> 00:47:49,360 Speaker 8: sorts of waste and abuse. I canceled a fifty million 888 00:47:49,400 --> 00:47:52,920 Speaker 8: dollar grant to the Climate Justice Alliance. They say that 889 00:47:53,040 --> 00:47:56,800 Speaker 8: climate justice runs through a free Palestine. Canceled about ninety 890 00:47:57,000 --> 00:48:01,480 Speaker 8: grants working with those towards DEI and and environmental justice. 891 00:48:01,840 --> 00:48:05,120 Speaker 8: That's totaling over one hundred and twenty five hundred and 892 00:48:05,120 --> 00:48:08,600 Speaker 8: twenty seven million dollars cancel over a million dollars worth 893 00:48:08,600 --> 00:48:12,319 Speaker 8: of media subscriptions where the agency was getting ripped off 894 00:48:12,440 --> 00:48:16,480 Speaker 8: having to pay too much. And the biggest one was 895 00:48:16,719 --> 00:48:19,680 Speaker 8: a twenty billion dollar pot of money parked at a 896 00:48:19,719 --> 00:48:22,600 Speaker 8: bank outside of government, a rush job at the end 897 00:48:22,640 --> 00:48:27,280 Speaker 8: of the Biden administration to offload tens of billions of dollars, 898 00:48:27,800 --> 00:48:32,200 Speaker 8: all going to eight passed through NGOs, one of which 899 00:48:32,280 --> 00:48:35,879 Speaker 8: was Stacy Abrams's NGO, which received two billion dollars even 900 00:48:35,920 --> 00:48:39,200 Speaker 8: though they only received one hundred dollars. In twenty twenty three, 901 00:48:39,719 --> 00:48:43,120 Speaker 8: five billion dollars went to the former employer of the 902 00:48:43,239 --> 00:48:46,920 Speaker 8: director of the Greenhouse Gas Reduction Fund. And a story 903 00:48:46,960 --> 00:48:49,279 Speaker 8: out this morning of somebody who was involved in the 904 00:48:49,320 --> 00:48:52,840 Speaker 8: council to design this this plan and this pot of 905 00:48:52,880 --> 00:48:57,040 Speaker 8: money got twenty million dollars for their organization that they 906 00:48:57,080 --> 00:49:00,000 Speaker 8: work at, even though that organization over the last few 907 00:49:00,160 --> 00:49:04,080 Speaker 8: years only raised in total just over two million. So 908 00:49:04,160 --> 00:49:06,759 Speaker 8: there's a lot there with regards to that pot of 909 00:49:06,800 --> 00:49:11,480 Speaker 8: twenty billion dollars. We're not done. It's it's wild how 910 00:49:11,520 --> 00:49:14,319 Speaker 8: much waste we've bydeed. And I'll just give you one more. 911 00:49:14,880 --> 00:49:18,200 Speaker 8: There was one hundred and sixty million dollars sent to 912 00:49:18,239 --> 00:49:22,000 Speaker 8: a Canadian electric vehicle school bus company as part of 913 00:49:22,040 --> 00:49:25,879 Speaker 8: the clean school Bus program. They then declared bankruptcy. They 914 00:49:25,920 --> 00:49:29,759 Speaker 8: still haven't delivered on ninety five million dollars worth of 915 00:49:29,760 --> 00:49:33,520 Speaker 8: school buses for fifty five school districts. Yes by an, 916 00:49:33,560 --> 00:49:36,520 Speaker 8: EPA gave them all one hundred and sixty million dollars 917 00:49:36,719 --> 00:49:40,080 Speaker 8: up front, and then they declared bankruptcy without performing on 918 00:49:40,120 --> 00:49:42,640 Speaker 8: most of the contract. We are going to end the 919 00:49:42,680 --> 00:49:44,040 Speaker 8: waste and abuse at the EPA. 920 00:49:44,800 --> 00:49:48,600 Speaker 3: Yeah, mister administrator, I was gonna say, as the sector 921 00:49:48,680 --> 00:49:53,360 Speaker 3: of an administrator of the EPA, lee explain how this works 922 00:49:53,640 --> 00:49:55,759 Speaker 3: in just the most simple layman's terms, because we're hearing 923 00:49:55,760 --> 00:50:01,600 Speaker 3: this stuff. So the EPA gives out grant millions and 924 00:50:01,680 --> 00:50:06,359 Speaker 3: millions of dollars to whatever organization some people in the 925 00:50:06,400 --> 00:50:10,000 Speaker 3: EPA decide should get that money to do whatever, Like, 926 00:50:10,560 --> 00:50:12,040 Speaker 3: how does that actually go? 927 00:50:12,280 --> 00:50:14,080 Speaker 1: And what kind of oversight is there on this? 928 00:50:14,280 --> 00:50:17,840 Speaker 3: I mean, you're finding this this obvious abuse and fraud. 929 00:50:18,040 --> 00:50:20,920 Speaker 3: But I'm just wondering, how is the process. Is it 930 00:50:20,960 --> 00:50:23,520 Speaker 3: really just as simple as the EPA says, Oh, we 931 00:50:23,719 --> 00:50:26,560 Speaker 3: like this climate change group of lunatics, We're going to 932 00:50:26,640 --> 00:50:28,440 Speaker 3: give them, you know, fifty million bucks. 933 00:50:29,120 --> 00:50:32,359 Speaker 8: That's pretty much how it worked out. And that's a 934 00:50:32,360 --> 00:50:34,840 Speaker 8: lot of self dealing, a lot of conflicts of interest, 935 00:50:35,480 --> 00:50:39,040 Speaker 8: and it's also a lie to the American public when 936 00:50:39,080 --> 00:50:44,880 Speaker 8: you talk about terms like environmental justice or climate change 937 00:50:44,960 --> 00:50:47,920 Speaker 8: and you define them in a way that appeals to 938 00:50:47,960 --> 00:50:51,879 Speaker 8: the masses. Like, for example, with environmental justice, you say 939 00:50:51,880 --> 00:50:54,560 Speaker 8: that there's some community that has been left behind and 940 00:50:54,800 --> 00:50:59,200 Speaker 8: they need assistance to deal with this pressing environmental issue. Yeah, 941 00:50:59,200 --> 00:51:02,680 Speaker 8: there are a lot of people, conservatives, monarchs, liberals say like, 942 00:51:02,719 --> 00:51:05,839 Speaker 8: oh wow, this community is in need. They don't have 943 00:51:05,960 --> 00:51:08,640 Speaker 8: access to clean airline or water. What can we do 944 00:51:08,680 --> 00:51:11,600 Speaker 8: to assist, But here's the problem. In the name of 945 00:51:11,760 --> 00:51:15,880 Speaker 8: environmental justice, they'll then get fifty million dollars to an 946 00:51:15,960 --> 00:51:19,799 Speaker 8: organization as a left wing advocacy group that's talking about 947 00:51:19,800 --> 00:51:23,880 Speaker 8: how climate justice runs through gaza. They'll talk about climate 948 00:51:23,960 --> 00:51:27,120 Speaker 8: change in a way that appeals to the masses, and 949 00:51:27,160 --> 00:51:31,200 Speaker 8: then in the name of climate change, they'll advance policies 950 00:51:31,239 --> 00:51:35,799 Speaker 8: that would bankrupt our country if we did everything. It 951 00:51:35,840 --> 00:51:39,920 Speaker 8: will raise the rates for energy costs, it will eliminate 952 00:51:40,080 --> 00:51:43,040 Speaker 8: choice to the point where the people who get hurt 953 00:51:43,040 --> 00:51:45,080 Speaker 8: the most of the ones who can least afford it. 954 00:51:45,760 --> 00:51:49,319 Speaker 8: The President has been outspoken on this. His words have 955 00:51:50,440 --> 00:51:53,840 Speaker 8: been criticized when he's used the term climate change hoax. 956 00:51:54,160 --> 00:51:56,319 Speaker 8: What he's been talking about, I've heard him mentioned a 957 00:51:56,320 --> 00:51:59,359 Speaker 8: few times where it was in my presence. When I've 958 00:51:59,360 --> 00:52:01,960 Speaker 8: heard him talk about it, he's talking about how there 959 00:52:02,000 --> 00:52:05,400 Speaker 8: are people who said that the world was imminently about 960 00:52:05,400 --> 00:52:07,719 Speaker 8: to end. You know, this was a few years ago. 961 00:52:07,760 --> 00:52:10,359 Speaker 8: I'm sure both of you guys remember this, that we're 962 00:52:10,440 --> 00:52:12,360 Speaker 8: just a few years away from the end of time, 963 00:52:13,040 --> 00:52:15,399 Speaker 8: and that we had to pass this green new deal 964 00:52:16,040 --> 00:52:18,799 Speaker 8: that would cost tens of trillions of dollars if we 965 00:52:18,840 --> 00:52:23,920 Speaker 8: did everything in this plan, and in the name of 966 00:52:24,360 --> 00:52:29,520 Speaker 8: climate change, there's this willingness to cause extreme economic pain 967 00:52:29,560 --> 00:52:31,680 Speaker 8: for the people to at least afford it, and it's 968 00:52:31,719 --> 00:52:34,320 Speaker 8: wrong and he wants to stop that, and he's. 969 00:52:34,200 --> 00:52:38,520 Speaker 1: Right, Lee, so much is changing. 970 00:52:38,560 --> 00:52:42,359 Speaker 2: It feels like in terms of the president's just endorsing 971 00:52:42,760 --> 00:52:45,680 Speaker 2: basic common sense and you're talking about fraud and abuse 972 00:52:45,719 --> 00:52:49,680 Speaker 2: in the EPA. You ran for governor against Kathy Hochel. 973 00:52:50,239 --> 00:52:53,720 Speaker 2: One of the areas that seems to be moving most 974 00:52:53,800 --> 00:52:57,439 Speaker 2: aggressively towards sanity, I would say, is the New York 975 00:52:57,480 --> 00:53:00,359 Speaker 2: New Jersey area. What do you think that the first 976 00:53:00,360 --> 00:53:04,319 Speaker 2: thirty days has done to advance that ball moving more 977 00:53:04,360 --> 00:53:07,680 Speaker 2: and more towards sanity. We know New York, for instance, 978 00:53:07,880 --> 00:53:11,400 Speaker 2: was more competitive than Texas or California were in the 979 00:53:11,480 --> 00:53:15,200 Speaker 2: national election, which stuns people. And the Trump team feels 980 00:53:15,239 --> 00:53:16,839 Speaker 2: like if they'd had a little bit more money, they 981 00:53:16,840 --> 00:53:18,280 Speaker 2: could have flipped New Jersey. 982 00:53:18,600 --> 00:53:20,000 Speaker 1: What's really going on here? 983 00:53:20,040 --> 00:53:22,120 Speaker 2: What are you seeing as a guy who's been in 984 00:53:22,120 --> 00:53:25,160 Speaker 2: politics for a while and is now part of this administration. 985 00:53:26,040 --> 00:53:30,680 Speaker 8: Top issues for Americans of all walks of life are 986 00:53:31,160 --> 00:53:35,120 Speaker 8: related to the economy and crime and public safety. They 987 00:53:35,160 --> 00:53:38,640 Speaker 8: care about the illegal immigration at the border, and President 988 00:53:38,680 --> 00:53:42,600 Speaker 8: Trump in his first month in office has been working 989 00:53:42,680 --> 00:53:46,680 Speaker 8: to make tremendous progress on all of that. And we 990 00:53:46,800 --> 00:53:50,080 Speaker 8: see it with the efforts of ice in the Department 991 00:53:50,120 --> 00:53:53,560 Speaker 8: of Homeland Security, and he didn't waste any time. It 992 00:53:53,600 --> 00:53:56,279 Speaker 8: was something that started on day one. If you are 993 00:53:56,360 --> 00:53:59,920 Speaker 8: illegally in the country, and you're the worst of the worst, 994 00:54:00,920 --> 00:54:03,759 Speaker 8: we need to be doing everything in our power to 995 00:54:03,880 --> 00:54:07,040 Speaker 8: get you out of the country and making sure that 996 00:54:07,080 --> 00:54:09,640 Speaker 8: we are actually securing our border. And we're sending a 997 00:54:09,680 --> 00:54:13,120 Speaker 8: message to those who haven't come yet, they might have 998 00:54:13,160 --> 00:54:15,720 Speaker 8: been on their way to come illegally into the country, 999 00:54:15,760 --> 00:54:19,160 Speaker 8: that there's a process and if you want to break 1000 00:54:19,200 --> 00:54:23,640 Speaker 8: the law, you're not welcome here. And that message, I 1001 00:54:23,719 --> 00:54:26,280 Speaker 8: think goes a long way inside of some of these 1002 00:54:26,400 --> 00:54:31,719 Speaker 8: cities where people have experienced the secondary effects of these policies, 1003 00:54:32,120 --> 00:54:38,160 Speaker 8: impacts on crime, budgets, healthcare, education, housing, and more. And 1004 00:54:38,719 --> 00:54:41,360 Speaker 8: that progress is something that I think a lot of 1005 00:54:41,400 --> 00:54:44,960 Speaker 8: Americans are saying, thank God. On another front, on the 1006 00:54:45,080 --> 00:54:49,080 Speaker 8: energy front, President Trump just signed his executive order for 1007 00:54:49,200 --> 00:54:53,040 Speaker 8: National Energy Dominance Council, which I'm serving on along with 1008 00:54:53,239 --> 00:54:57,200 Speaker 8: a secretary right at Department of Energy and Doug Bergham 1009 00:54:57,800 --> 00:55:01,640 Speaker 8: at the Department of Interior. And there's a big pipeline 1010 00:55:01,680 --> 00:55:07,240 Speaker 8: project called Constitution Pipeline that would transport natural gas across 1011 00:55:07,320 --> 00:55:10,440 Speaker 8: many states in the Northeast. And if you're a New 1012 00:55:10,520 --> 00:55:14,400 Speaker 8: Yorker where they ban the safe extraction of natural gas, 1013 00:55:14,440 --> 00:55:17,640 Speaker 8: where they are on the pace towards banning the sale 1014 00:55:17,719 --> 00:55:20,759 Speaker 8: of gas power vehicles, where they do not allow gas 1015 00:55:20,840 --> 00:55:24,440 Speaker 8: hookups to new construction, and they are talking about offshore 1016 00:55:24,520 --> 00:55:28,640 Speaker 8: wind as if that is the replacement for baseload energy 1017 00:55:29,239 --> 00:55:34,520 Speaker 8: closing indiandpoint not getting new nuclear on site opportunities to 1018 00:55:35,440 --> 00:55:38,880 Speaker 8: have more AI data centers, but those require energy to 1019 00:55:39,360 --> 00:55:41,640 Speaker 8: It's just night and day when you look at where 1020 00:55:41,680 --> 00:55:44,279 Speaker 8: we were not that long ago and where we are 1021 00:55:44,400 --> 00:55:47,799 Speaker 8: since President Trump was sworn into office. And here's the thing. 1022 00:55:47,880 --> 00:55:51,400 Speaker 8: We're not a month in saying our work is done 1023 00:55:51,440 --> 00:55:55,000 Speaker 8: here and now we're going to start coasting. We're just 1024 00:55:55,040 --> 00:55:58,799 Speaker 8: getting started. This is just the beginning of what I 1025 00:55:58,920 --> 00:56:01,120 Speaker 8: believe too is a Golden age age of American success. 1026 00:56:01,239 --> 00:56:03,080 Speaker 8: Just like President Trump talks about. 1027 00:56:03,239 --> 00:56:06,640 Speaker 3: Mister administrator, I want to ask you about that. To 1028 00:56:06,680 --> 00:56:10,480 Speaker 3: close us out here, which is right now we've seen 1029 00:56:10,600 --> 00:56:12,880 Speaker 3: whether it's what you're doing at the EPA and obviously 1030 00:56:12,960 --> 00:56:17,319 Speaker 3: DOGE government wide under President Trump's approval, is getting rid 1031 00:56:17,400 --> 00:56:19,759 Speaker 3: of the waste, right, the waste is bad. What are 1032 00:56:19,760 --> 00:56:25,080 Speaker 3: the EPA priorities under this Trump administration that are action 1033 00:56:25,960 --> 00:56:28,640 Speaker 3: for the environment or that are things that actually touch 1034 00:56:28,719 --> 00:56:31,719 Speaker 3: on what the mission of your agency is supposed to 1035 00:56:31,840 --> 00:56:34,600 Speaker 3: be other than not paying a lot of money to 1036 00:56:34,680 --> 00:56:37,200 Speaker 3: left wing climate lunatics, Like, what are some of the 1037 00:56:37,239 --> 00:56:39,719 Speaker 3: things you're going to try to get done as EPA administrator. 1038 00:56:40,239 --> 00:56:42,560 Speaker 3: As long as you're in that role that Trump wants 1039 00:56:42,560 --> 00:56:43,360 Speaker 3: you to pursue. 1040 00:56:43,719 --> 00:56:46,279 Speaker 8: Love that question. And President Trump wants clean air, land, 1041 00:56:46,360 --> 00:56:48,960 Speaker 8: and water for all Americans. The core mission of EPA 1042 00:56:49,120 --> 00:56:52,520 Speaker 8: is protecting human health and the environment. Right now, we 1043 00:56:52,600 --> 00:56:56,440 Speaker 8: are finishing up our Phase one hazardous material removal. It 1044 00:56:56,520 --> 00:56:59,960 Speaker 8: was a thirty day timeline in Los Angeles after the wildfires. 1045 00:57:00,080 --> 00:57:03,600 Speaker 8: President Trump set a bold deadline. But we have over 1046 00:57:03,600 --> 00:57:06,160 Speaker 8: fifteen hundred workers on the ground to be able to 1047 00:57:06,239 --> 00:57:11,440 Speaker 8: crush that job. I was just in Flint, Michigan last week. 1048 00:57:11,760 --> 00:57:14,400 Speaker 8: I've been in East Palacine, Ohio with our great new 1049 00:57:14,480 --> 00:57:18,080 Speaker 8: Vice president, western North Carolina with that hurricane response. We 1050 00:57:18,200 --> 00:57:21,960 Speaker 8: just got a mission assignment with the Kentucky flooding. There 1051 00:57:22,080 --> 00:57:24,840 Speaker 8: is so much that we are doing right now all 1052 00:57:24,880 --> 00:57:29,040 Speaker 8: across this country to ensure that we have clean Atlanta water. 1053 00:57:29,200 --> 00:57:32,520 Speaker 8: Like President Trump wants us to set out for. Our 1054 00:57:32,680 --> 00:57:35,920 Speaker 8: five pillared initiative is called powering the Great American Comeback. 1055 00:57:36,280 --> 00:57:39,320 Speaker 8: We're just talking just now about Pillar one. We also 1056 00:57:39,400 --> 00:57:43,959 Speaker 8: want to help unleash energy dominance, pursue permitting reform, bring 1057 00:57:44,000 --> 00:57:47,000 Speaker 8: back more American auto jobs, and ensure the United States 1058 00:57:47,040 --> 00:57:49,640 Speaker 8: of America is the AI capital of the world. There 1059 00:57:49,680 --> 00:57:53,000 Speaker 8: are important priorities of this president. There are key statutory 1060 00:57:53,040 --> 00:57:56,840 Speaker 8: obligations from Congress like the Clean Air Act, Clean Water Act, 1061 00:57:56,840 --> 00:58:00,560 Speaker 8: Safe Drinking Water Act, Toxic Substance Chemicals Act. We're going 1062 00:58:00,600 --> 00:58:03,040 Speaker 8: to do our job exceptionally. We're going to follow our 1063 00:58:03,080 --> 00:58:05,280 Speaker 8: obligations under the law. We were going to respect the 1064 00:58:05,360 --> 00:58:07,840 Speaker 8: rule of law, and we are going to embrace cooperative 1065 00:58:07,880 --> 00:58:10,320 Speaker 8: federalism to work with states across this country. 1066 00:58:11,280 --> 00:58:14,720 Speaker 3: EPA Administrator Zelden, thank you so much, sir, and please 1067 00:58:14,760 --> 00:58:17,520 Speaker 3: as you continue on with these missions, we'd love to 1068 00:58:17,560 --> 00:58:19,200 Speaker 3: have you back to hear how it's going, so thank 1069 00:58:19,240 --> 00:58:23,600 Speaker 3: you so much to it. Look, the everyday grind is tough, 1070 00:58:23,640 --> 00:58:25,280 Speaker 3: as you know. 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