1 00:00:00,120 --> 00:00:04,600 Speaker 1: Welcome everybody. Tuesday edition of the Clay Travison Buck Section 2 00:00:04,760 --> 00:00:08,200 Speaker 1: Show gets off to a fantastic start right now. We're 3 00:00:08,280 --> 00:00:10,520 Speaker 1: very excited to have you all with us. A lot 4 00:00:10,560 --> 00:00:16,560 Speaker 1: of stories to dive into. Those campus protests still insane, 5 00:00:16,960 --> 00:00:21,799 Speaker 1: insane in the membrane. They are doing crazy stuff on 6 00:00:21,920 --> 00:00:26,159 Speaker 1: these campus sees. So we will look at what the 7 00:00:26,239 --> 00:00:31,160 Speaker 1: latest is. We will look at what the GW campus 8 00:00:31,240 --> 00:00:34,440 Speaker 1: is going to do as a result of the defacing. 9 00:00:34,680 --> 00:00:38,680 Speaker 1: It is the George Washington University campus where Clay is 10 00:00:38,720 --> 00:00:42,720 Speaker 1: a distinguished alumni. Why don't they ask you to come speak? 11 00:00:42,760 --> 00:00:44,280 Speaker 1: By the way, what kind of nonsense. 12 00:00:44,000 --> 00:00:46,400 Speaker 2: Is I've never been invited to speak. They've asked me 13 00:00:46,440 --> 00:00:49,400 Speaker 2: for a lot of money, I will say, to be 14 00:00:49,479 --> 00:00:52,559 Speaker 2: fair to them, the athletic department has hosted me for 15 00:00:52,640 --> 00:00:55,080 Speaker 2: a basketball game before, but I've never been in It 16 00:00:55,120 --> 00:00:57,120 Speaker 2: is kind of funny to think about never been invited 17 00:00:57,160 --> 00:00:59,000 Speaker 2: to bring you to a basketball game though, So what 18 00:00:59,120 --> 00:01:01,040 Speaker 2: I'm a sports guy. I mean, wouldn't you think they 19 00:01:01,080 --> 00:01:02,920 Speaker 2: would invite me to speak? I mean, how many people 20 00:01:02,920 --> 00:01:08,440 Speaker 2: of my age that graduated from GW have have done. 21 00:01:08,200 --> 00:01:10,840 Speaker 1: More in media? I mean, you know why? You know 22 00:01:10,840 --> 00:01:13,399 Speaker 1: why that's I was invited to speak at Amherst before 23 00:01:13,440 --> 00:01:15,200 Speaker 1: I ever did media. When I was in the CIA, 24 00:01:15,280 --> 00:01:16,920 Speaker 1: they wanted me to call up and give speeches, and 25 00:01:16,920 --> 00:01:20,520 Speaker 1: they invite me since I started, since I went to 26 00:01:20,640 --> 00:01:23,600 Speaker 1: work for Glenn at the Blaze. Never again, never since 27 00:01:23,640 --> 00:01:24,680 Speaker 1: then have they reached out. 28 00:01:24,720 --> 00:01:28,200 Speaker 2: So you and GW can want as many successful alums 29 00:01:28,280 --> 00:01:31,560 Speaker 2: to come to campus, regardless of how they are are successful, right, 30 00:01:31,600 --> 00:01:32,959 Speaker 2: I mean that seems like a no brainer to me. 31 00:01:34,000 --> 00:01:36,600 Speaker 1: Yeah, except if you're a communist, you don't care about 32 00:01:36,640 --> 00:01:42,440 Speaker 1: success or truth. So GW campus has defaced the GW 33 00:01:43,000 --> 00:01:47,880 Speaker 1: statue George himself, that's right, Father of the nation. They 34 00:01:47,920 --> 00:01:51,920 Speaker 1: have defaced that statue. So on the one hand, we 35 00:01:52,040 --> 00:01:55,960 Speaker 1: continue to talk about the ideology, the toxic ideas of 36 00:01:56,000 --> 00:01:57,760 Speaker 1: the left and how they're playing on on these campuses. 37 00:01:57,800 --> 00:02:00,920 Speaker 1: But also there's a part of me that's like they 38 00:02:01,640 --> 00:02:04,080 Speaker 1: kind of getting what they deserve on some of these 39 00:02:04,080 --> 00:02:06,840 Speaker 1: campuses in terms of the administrations being in disarray and 40 00:02:06,880 --> 00:02:10,320 Speaker 1: the whole thing being a mess. We shall discuss plus 41 00:02:10,360 --> 00:02:14,919 Speaker 1: a meeting with Trump and DeSantis. I think we told 42 00:02:14,960 --> 00:02:17,640 Speaker 1: you here many times. Even with things we're a little 43 00:02:17,639 --> 00:02:20,560 Speaker 1: bit a little bit testy little feisty between the Trump 44 00:02:20,600 --> 00:02:25,880 Speaker 1: and DeSantis camps of supporters during the primary. Said they're 45 00:02:25,919 --> 00:02:29,600 Speaker 1: going they're gonna hug it out and they're gonna be 46 00:02:29,639 --> 00:02:31,840 Speaker 1: on the same team for the benefit of the country. 47 00:02:31,880 --> 00:02:35,919 Speaker 1: And sure enough, Trump himself has said great meeting, ron 48 00:02:36,040 --> 00:02:39,120 Speaker 1: fully on board, MAGA. And we'll break some of that 49 00:02:39,200 --> 00:02:41,519 Speaker 1: down for you because I and also it's a little 50 00:02:41,560 --> 00:02:43,280 Speaker 1: bit of we promised you what would happen. Some of 51 00:02:43,320 --> 00:02:45,160 Speaker 1: you doubted it, but it is in fact what is 52 00:02:45,200 --> 00:02:49,840 Speaker 1: going on. Statement from ut on how they're handling the protests. 53 00:02:49,840 --> 00:02:52,680 Speaker 1: I think that's particularly interesting. If we have time, we'll 54 00:02:52,680 --> 00:02:55,000 Speaker 1: get to this Arizona rancher who was charged in the 55 00:02:55,040 --> 00:02:58,800 Speaker 1: shooting of a of an illegal on his property, who 56 00:02:58,840 --> 00:03:01,600 Speaker 1: will not be retry after a jury was deadlocked. I 57 00:03:01,639 --> 00:03:03,960 Speaker 1: think that's an interesting story. Goes back away as we 58 00:03:04,040 --> 00:03:05,160 Speaker 1: talked to you about it, I think a couple of 59 00:03:05,200 --> 00:03:07,120 Speaker 1: years ago, now, maybe a year ago, two years ago. 60 00:03:08,240 --> 00:03:11,000 Speaker 1: And we've got a lot more, but Clay, let's start 61 00:03:11,000 --> 00:03:14,560 Speaker 1: with this one. We haven't heard much from Nancy Pelosi 62 00:03:14,600 --> 00:03:17,280 Speaker 1: these days. You know, Nancy's been a little quiet. I 63 00:03:17,280 --> 00:03:19,640 Speaker 1: don't know, she's taken some naps to sleep it off. 64 00:03:20,120 --> 00:03:24,440 Speaker 1: After a third bottle of chardonnay, and Nancy showed up 65 00:03:24,480 --> 00:03:27,560 Speaker 1: on MSNBC. If there's one thing it would be hard 66 00:03:27,600 --> 00:03:32,760 Speaker 1: to accuse MSNBC of one would think it's Trump apologies 67 00:03:33,800 --> 00:03:38,080 Speaker 1: or being apologists on behalf of Donald Trump. Pelosi was 68 00:03:38,080 --> 00:03:41,920 Speaker 1: talking to Katie Terr, who apparently still works in media. 69 00:03:42,040 --> 00:03:45,280 Speaker 1: Pelosi was not happy with this exchange. We want to 70 00:03:45,280 --> 00:03:47,119 Speaker 1: break it down for you because it goes to where 71 00:03:47,120 --> 00:03:48,840 Speaker 1: the economy is right now. This is cut six. 72 00:03:49,360 --> 00:03:54,760 Speaker 3: There are those who have religitimate concerns about immigration, globalization, 73 00:03:55,000 --> 00:03:57,720 Speaker 3: innovation and what does that mean for their job and 74 00:03:57,720 --> 00:04:01,600 Speaker 3: their family's future. And we have to those concerns. And 75 00:04:01,720 --> 00:04:05,760 Speaker 3: Joe Biden is doing that created nine million jobs in 76 00:04:05,840 --> 00:04:09,760 Speaker 3: his tournament office. Donald Trump as the worst record of 77 00:04:09,960 --> 00:04:13,560 Speaker 3: job loss of any president. So we just have to 78 00:04:13,560 --> 00:04:18,039 Speaker 3: make sure people know that was a global pandemic. He 79 00:04:18,160 --> 00:04:21,560 Speaker 3: had the worst record of any president. We've had other 80 00:04:21,680 --> 00:04:23,839 Speaker 3: concerns in our country. If you want to be an 81 00:04:23,880 --> 00:04:27,520 Speaker 3: apologist for Donald Trump, that may be your role, but 82 00:04:27,600 --> 00:04:29,320 Speaker 3: it ain't mine. 83 00:04:30,240 --> 00:04:33,039 Speaker 1: So first of all, so nasty, and I think it's 84 00:04:33,080 --> 00:04:37,480 Speaker 1: because she's looking at Katie Turr like you're a propagandist 85 00:04:37,800 --> 00:04:40,919 Speaker 1: and a fool, You're supposed to just go along with. 86 00:04:41,440 --> 00:04:44,400 Speaker 1: What could be more dishonest than claiming that the pandemic 87 00:04:44,920 --> 00:04:49,120 Speaker 1: which caused a shutdown that Democrats demanded shrieking that they 88 00:04:49,120 --> 00:04:52,400 Speaker 1: were all being murdered if they didn't get it. Those 89 00:04:52,480 --> 00:04:53,880 Speaker 1: job losses are on Trump. 90 00:04:55,240 --> 00:05:00,680 Speaker 2: I think it's illustrative of how many Democrat are arguments 91 00:05:00,680 --> 00:05:05,560 Speaker 2: collapse with one sentence of opposition. And when I saw 92 00:05:05,600 --> 00:05:09,680 Speaker 2: this clip that went viral of Katie Terror at MSNBC 93 00:05:10,160 --> 00:05:17,120 Speaker 2: actually just bothering to correct Nancy Pelosi on a transparent falsehood. Frankly, 94 00:05:17,279 --> 00:05:21,880 Speaker 2: because in February of twenty twenty, right before COVID overtook 95 00:05:21,920 --> 00:05:25,039 Speaker 2: the country, and as you point out, Democrats insisted that 96 00:05:25,080 --> 00:05:29,000 Speaker 2: everybody stop working and everything shut down, we had the 97 00:05:29,040 --> 00:05:35,480 Speaker 2: lowest unemployment rate, virtually no inflation, lowest mortgage rates, highest 98 00:05:36,440 --> 00:05:40,120 Speaker 2: employment rate for every different ethnic and racial group that 99 00:05:40,160 --> 00:05:42,840 Speaker 2: I'm aware of in the United States history. We were 100 00:05:43,040 --> 00:05:47,760 Speaker 2: at that time at the absolute apex economically ever in 101 00:05:47,800 --> 00:05:50,000 Speaker 2: the United States history. And I think that's why, looking 102 00:05:50,000 --> 00:05:54,720 Speaker 2: back nostalgically, many people remember now the Trump era with fondness, 103 00:05:55,120 --> 00:05:58,640 Speaker 2: But this was also emblematic to me of what happened 104 00:05:58,680 --> 00:06:03,640 Speaker 2: to Gavin Newsom. When Gavin Newsom debated Ron DeSantis and 105 00:06:03,800 --> 00:06:09,160 Speaker 2: got completely and totally filayed in the Sean Hannity primetime special. 106 00:06:09,800 --> 00:06:14,200 Speaker 2: It was because Hannity didn't really do anything other than 107 00:06:14,320 --> 00:06:19,440 Speaker 2: present facts. But Gavin Newsom lives in that alternative facts 108 00:06:19,600 --> 00:06:23,359 Speaker 2: universe of MSNBC and CNN, and he walked right into 109 00:06:23,440 --> 00:06:28,360 Speaker 2: a buzzsaw and got obliterated because Florida handled COVID better 110 00:06:28,400 --> 00:06:33,000 Speaker 2: than California did as an objective measure of fact in 111 00:06:33,080 --> 00:06:37,080 Speaker 2: every respect. And so when that's actually pointed out and 112 00:06:37,120 --> 00:06:40,400 Speaker 2: when you have to deal with it, Democrats don't react 113 00:06:40,640 --> 00:06:44,560 Speaker 2: very well. In fact, Nancy Pelosi really kind of lost 114 00:06:44,600 --> 00:06:47,640 Speaker 2: it there that she was questioned in any way on 115 00:06:47,800 --> 00:06:53,039 Speaker 2: MSNBC and then called Katie Turror Trump propagandist for pointing out, Hey, 116 00:06:53,080 --> 00:06:55,839 Speaker 2: you know, COVID was going on, and they've made this 117 00:06:56,000 --> 00:06:58,679 Speaker 2: argument because Biden came back in, they started to open 118 00:06:58,760 --> 00:07:02,680 Speaker 2: back up. I think the math is buck, there are 119 00:07:03,080 --> 00:07:05,680 Speaker 2: most of the job growth in Joe Biden, if you 120 00:07:05,720 --> 00:07:08,360 Speaker 2: take away the people who just got to go back 121 00:07:08,400 --> 00:07:10,720 Speaker 2: to the jobs that they already had, is actually in 122 00:07:10,720 --> 00:07:16,000 Speaker 2: illegal immigrants. The number of new American citizen jobs that 123 00:07:16,080 --> 00:07:20,480 Speaker 2: have existed during Joe Biden's tenure is not very substantial 124 00:07:20,480 --> 00:07:23,360 Speaker 2: at all. So they're cooking the books here to make 125 00:07:23,400 --> 00:07:27,160 Speaker 2: Biden's economic numbers look better than they actually are, and the. 126 00:07:27,200 --> 00:07:31,680 Speaker 1: Numbers still aren't that great. Well, to say that the 127 00:07:31,720 --> 00:07:35,440 Speaker 1: worst job losses in history occurred under Donald Trump, when 128 00:07:35,640 --> 00:07:38,440 Speaker 1: the truth is it was a pandemic, and that the 129 00:07:38,480 --> 00:07:41,760 Speaker 1: criticism of Trump from the Democrats, including from Nancy Pelosi, 130 00:07:42,240 --> 00:07:45,080 Speaker 1: was that he didn't shut down more, he didn't shut 131 00:07:45,120 --> 00:07:49,760 Speaker 1: down harder for longer. It is so disingenuous, and it 132 00:07:49,840 --> 00:07:54,800 Speaker 1: just requires Nancy Pelosi just spewing this venom of stupidity, 133 00:07:54,840 --> 00:07:58,280 Speaker 1: which she does all the time, where it just doesn't 134 00:07:58,320 --> 00:08:01,840 Speaker 1: matter to her in the least how untrue and what 135 00:08:01,960 --> 00:08:04,680 Speaker 1: a big pile of bull crap it is that she's 136 00:08:04,720 --> 00:08:08,080 Speaker 1: pushing forward to the point where even even Katie Tura, 137 00:08:08,120 --> 00:08:11,040 Speaker 1: I think, realized it would be embarrassing. It would be 138 00:08:11,120 --> 00:08:14,440 Speaker 1: embarrassing for her to go along with that, because there 139 00:08:14,440 --> 00:08:16,120 Speaker 1: are a lot of things that they can and do 140 00:08:16,240 --> 00:08:20,239 Speaker 1: say about Donald Trump, but to pretend like the job 141 00:08:20,280 --> 00:08:23,240 Speaker 1: losses of the pandemic are representative of the Trump economy. 142 00:08:23,280 --> 00:08:28,720 Speaker 1: Trumpet comedy was fantastic. Joe Biden's economy stinks. Everybody knows it. 143 00:08:28,960 --> 00:08:31,760 Speaker 1: And so what Pelosi does is tried out that talking point. 144 00:08:31,760 --> 00:08:35,160 Speaker 1: There's that, but then there's also this Pelosi saying that 145 00:08:35,280 --> 00:08:39,000 Speaker 1: after the election, Democrats and they've said this about other 146 00:08:39,040 --> 00:08:43,520 Speaker 1: things before, but that they would be willing to nuke 147 00:08:43,559 --> 00:08:48,960 Speaker 1: the filibuster and go for a national abortion law. Seven 148 00:08:49,040 --> 00:08:49,400 Speaker 1: play it. 149 00:08:49,600 --> 00:08:52,920 Speaker 4: And if President Biden gets re elected and there's a 150 00:08:52,920 --> 00:08:55,880 Speaker 4: Democratic House and a Democratic Senate, what can President Biden 151 00:08:55,960 --> 00:08:58,280 Speaker 4: the Democrats do to protect abortion nationwide? 152 00:08:58,360 --> 00:09:01,880 Speaker 3: Very clearly, we can line into the wall Roe v. 153 00:09:02,040 --> 00:09:04,319 Speaker 3: Wade and that makes a big diff. 154 00:09:04,200 --> 00:09:05,760 Speaker 4: That would take two thirds in the Senate. I think 155 00:09:05,760 --> 00:09:07,480 Speaker 4: the Democrats can get two thirds in the Senate. 156 00:09:07,559 --> 00:09:10,800 Speaker 3: Doesn't get two thirds, that doesn't I mean sixty votes 157 00:09:10,880 --> 00:09:14,120 Speaker 3: is the Senate now. But if we win fifty plus 158 00:09:14,200 --> 00:09:17,760 Speaker 3: one in the Senate, fifty plus the Vice president, we 159 00:09:17,840 --> 00:09:21,520 Speaker 3: can overturn the sixty vote, the filibuster, the philibuster, and 160 00:09:21,559 --> 00:09:23,559 Speaker 3: pass it with a fifty one vote margin. 161 00:09:24,840 --> 00:09:28,960 Speaker 1: First of all, that would be inviting the just continued 162 00:09:30,000 --> 00:09:32,920 Speaker 1: changes with every change of the Senate and the House. 163 00:09:33,000 --> 00:09:35,880 Speaker 1: You would have this back and forth over something as 164 00:09:36,440 --> 00:09:40,720 Speaker 1: serious and intense as they fight over abortion laws. But 165 00:09:40,800 --> 00:09:43,760 Speaker 1: even beyond that, I do think that Clay the Democrats 166 00:09:43,840 --> 00:09:47,280 Speaker 1: will get rid of the filibuster. I don't know if 167 00:09:47,320 --> 00:09:49,560 Speaker 1: it's on this issue. It may be, but it is 168 00:09:49,640 --> 00:09:51,760 Speaker 1: just a matter of time. Let's not forget it was 169 00:09:51,840 --> 00:09:56,760 Speaker 1: Democrats who initially started this fight by getting rid of 170 00:09:56,800 --> 00:09:59,280 Speaker 1: it when it comes to judges, so it was Harry Reid. 171 00:10:00,320 --> 00:10:03,480 Speaker 2: I also think it would be a funny response to 172 00:10:03,800 --> 00:10:07,080 Speaker 2: the Nancy Pelosi commentary, not only on the filibuster, but 173 00:10:07,120 --> 00:10:10,640 Speaker 2: particularly on the job creation by Joe Biden and her 174 00:10:10,640 --> 00:10:13,040 Speaker 2: attack on Trump that he had the worst job record ever. 175 00:10:14,200 --> 00:10:16,600 Speaker 2: You know, FDR had a really rough record when it 176 00:10:16,640 --> 00:10:19,400 Speaker 2: came to soldiers who died while he was president too. 177 00:10:20,600 --> 00:10:24,240 Speaker 2: He didn't choose World War two to start, and he 178 00:10:24,320 --> 00:10:27,560 Speaker 2: had to get involved. But if you compared let's say 179 00:10:27,920 --> 00:10:34,200 Speaker 2: FDR's presidential loss of life to Hoover's, then FDR would 180 00:10:34,240 --> 00:10:38,440 Speaker 2: look atrocious because World War II happened. So it just 181 00:10:38,559 --> 00:10:41,920 Speaker 2: takes the barest minimum of pushback to say, well, that's 182 00:10:41,960 --> 00:10:45,120 Speaker 2: because of COVID and because of Democrat policies. But her 183 00:10:45,280 --> 00:10:48,200 Speaker 2: anger at the fact that that was even raised as 184 00:10:48,240 --> 00:10:52,120 Speaker 2: an issue is indicative of how much I believe they 185 00:10:52,120 --> 00:10:59,040 Speaker 2: have come to anticipate total propagandistic media to further their arguments, 186 00:10:59,080 --> 00:11:03,120 Speaker 2: even when they are are intellectually dishonest, and even when 187 00:11:03,200 --> 00:11:06,600 Speaker 2: they're talking to someone who's inclined to believe the arguments 188 00:11:06,600 --> 00:11:07,199 Speaker 2: that they're making. 189 00:11:07,480 --> 00:11:12,320 Speaker 1: It almost felt like Nancy was about to fall out 190 00:11:12,360 --> 00:11:14,600 Speaker 1: of her chair, not on a drunken stupor, but but 191 00:11:14,840 --> 00:11:19,040 Speaker 1: to express her outrage at Katie Turf for not understanding 192 00:11:19,600 --> 00:11:22,600 Speaker 1: Biden's behind in every swing stack. Right now in the polls, 193 00:11:23,120 --> 00:11:28,040 Speaker 1: Biden is losing ground with each passing day. This is 194 00:11:28,160 --> 00:11:30,360 Speaker 1: not going the way the Democrats. I really think now 195 00:11:30,400 --> 00:11:32,520 Speaker 1: we're deep enough into the legal stuff that we can 196 00:11:32,559 --> 00:11:35,840 Speaker 1: see Democrats thought the legal stuff would sing Trump. They 197 00:11:35,920 --> 00:11:38,920 Speaker 1: were wrong, yes, meeting in public opinion. I don't know 198 00:11:38,920 --> 00:11:40,800 Speaker 1: what's going to happen with the actual trials, but they 199 00:11:40,840 --> 00:11:43,920 Speaker 1: thought public opinion would turn against Trump if they used 200 00:11:43,960 --> 00:11:47,600 Speaker 1: the law fair. To use the law fair canon the 201 00:11:47,600 --> 00:11:51,280 Speaker 1: way that they have and it's the opposite. And I 202 00:11:51,320 --> 00:11:53,880 Speaker 1: think that they are panicked because I don't have any 203 00:11:53,880 --> 00:11:54,439 Speaker 1: good plan b. 204 00:11:55,080 --> 00:11:58,880 Speaker 2: It's turned into potentially the most destructive own goal in 205 00:11:59,000 --> 00:12:02,160 Speaker 2: modern American political history. Now there's still six months out. 206 00:12:02,280 --> 00:12:04,480 Speaker 2: We'll talk about some of the latest numbers. So maybe 207 00:12:04,480 --> 00:12:06,560 Speaker 2: they still think they're going to get some benefit of it. 208 00:12:07,040 --> 00:12:10,439 Speaker 2: But right now Trump has painted them into a corner. 209 00:12:10,520 --> 00:12:14,000 Speaker 2: And even these discussions about contempt of court I think 210 00:12:14,000 --> 00:12:16,360 Speaker 2: are making the Democrats look worse. We'll talk about all 211 00:12:16,400 --> 00:12:18,439 Speaker 2: that more in the meantime. Twenty dollars doesn't buy you 212 00:12:18,559 --> 00:12:22,120 Speaker 2: nearly what it once did. Hey, especially in California, where 213 00:12:22,120 --> 00:12:24,000 Speaker 2: you get paid twenty dollars an hour now to work 214 00:12:24,080 --> 00:12:27,320 Speaker 2: in a fast food restaurant. And as a result, I 215 00:12:27,360 --> 00:12:29,320 Speaker 2: was just reading Chick fil A price is up ten 216 00:12:29,400 --> 00:12:31,680 Speaker 2: percent in the last month or so in the state 217 00:12:31,679 --> 00:12:35,160 Speaker 2: of California. 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That's pound two fifty and say the keywords 234 00:13:28,960 --> 00:13:29,640 Speaker 2: Clay and Buck. 235 00:13:29,800 --> 00:13:34,960 Speaker 5: Do it today, Clay Travis and Buck Sexton making sense 236 00:13:35,160 --> 00:13:36,480 Speaker 5: in an insane world. 237 00:13:36,559 --> 00:13:39,040 Speaker 1: For those who are watching on our Clan Buck vip 238 00:13:39,160 --> 00:13:43,360 Speaker 1: at clan dot com, Ginger making another appearance you wanted 239 00:13:43,400 --> 00:13:46,000 Speaker 1: to treat top of the shows. Oh, there you go. 240 00:13:47,000 --> 00:13:49,040 Speaker 1: You gotta gotta be fast in this game. Become a 241 00:13:49,120 --> 00:13:52,559 Speaker 1: clan buck vip my friends. You get the Ginger cam 242 00:13:52,679 --> 00:13:54,360 Speaker 1: as it pops up. 243 00:13:54,280 --> 00:13:59,079 Speaker 2: Here and there, shameless play for listener approbation, there by 244 00:13:59,120 --> 00:14:01,360 Speaker 2: having the cute dog in your lap to start the hour. 245 00:14:01,400 --> 00:14:03,920 Speaker 2: It doesn't matter what you argue now unless Christy Noam 246 00:14:04,000 --> 00:14:05,960 Speaker 2: is watching, You've got everybody supporting. 247 00:14:07,160 --> 00:14:12,520 Speaker 1: We go just saying so thank you Ginger. There's a 248 00:14:12,559 --> 00:14:13,959 Speaker 1: little bit of a happy moment. A little bit of 249 00:14:14,000 --> 00:14:20,840 Speaker 1: a come together moment where finally after well, it wasn't 250 00:14:20,840 --> 00:14:24,160 Speaker 1: apprusing primary actually at all, it was almost no primary, 251 00:14:24,200 --> 00:14:28,520 Speaker 1: which might factor into why it's almost a feeling of 252 00:14:28,600 --> 00:14:33,680 Speaker 1: magnanimity right now coming from Trump on this issue. Looks 253 00:14:33,760 --> 00:14:37,600 Speaker 1: like everything's going just fine. You had a meeting that 254 00:14:37,640 --> 00:14:42,080 Speaker 1: was reported on yesterday between Donald Trump and the governor 255 00:14:42,080 --> 00:14:45,000 Speaker 1: of Florida, Ronda Santis, who I do think is still, 256 00:14:46,240 --> 00:14:49,360 Speaker 1: by anybody who pays attention to these things, and as 257 00:14:49,400 --> 00:14:52,680 Speaker 1: a conservative, the best governor in America. There are some 258 00:14:52,760 --> 00:14:55,800 Speaker 1: other excellent governors. I think Kevin Stitt and Oklahoma's doing 259 00:14:55,800 --> 00:14:58,920 Speaker 1: a great job, and Kim Reynolds and I was doing 260 00:14:58,960 --> 00:15:01,920 Speaker 1: a really good job. A whole bunch of governors, you know. 261 00:15:02,000 --> 00:15:05,000 Speaker 1: I know our Texas friends are good friends, like Jesse 262 00:15:05,080 --> 00:15:07,080 Speaker 1: Kelly and Michael Barry. I'd leave it to them to 263 00:15:07,320 --> 00:15:12,080 Speaker 1: judge how Texas's governor is doing overall. But we just 264 00:15:12,120 --> 00:15:14,200 Speaker 1: had Paxton on who's the attorney general, And I got 265 00:15:14,240 --> 00:15:18,440 Speaker 1: to say sometimes sometimes the governor of Texas I think 266 00:15:18,480 --> 00:15:20,560 Speaker 1: does a pretty good job. 267 00:15:20,640 --> 00:15:23,400 Speaker 2: I think I think Greg Abbott's done a phenomenal job 268 00:15:23,480 --> 00:15:26,120 Speaker 2: on the border and handling protests so far. The other 269 00:15:26,160 --> 00:15:30,400 Speaker 2: one I would mention Brian Kemp. They cleaned out Emory. 270 00:15:30,840 --> 00:15:36,040 Speaker 2: Guy has one of the highest population popularity numbers anywhere 271 00:15:36,080 --> 00:15:40,040 Speaker 2: in the country, one by seven or eight stamp Stacy Abrams. 272 00:15:40,400 --> 00:15:42,960 Speaker 2: There are a lot of good Republican governors, and my 273 00:15:43,080 --> 00:15:45,400 Speaker 2: governor Bill Lee, I think, has done a pretty good 274 00:15:45,440 --> 00:15:46,600 Speaker 2: job on a lot of fronts. 275 00:15:46,960 --> 00:15:49,120 Speaker 1: Yeah, so you've got good governors there. I mean, if 276 00:15:49,120 --> 00:15:51,560 Speaker 1: you were trying to figure out the worst governor in America, 277 00:15:51,600 --> 00:15:53,640 Speaker 1: oh man, I know a lot of my New York 278 00:15:53,680 --> 00:15:57,360 Speaker 1: friends would argue with people that Kathy Hochel is as 279 00:15:57,360 --> 00:16:00,840 Speaker 1: bad as it gets. But you've got Gretchen Witmer in Michigan. 280 00:16:02,360 --> 00:16:05,120 Speaker 1: You got some really bad governors in the mix on 281 00:16:05,160 --> 00:16:08,240 Speaker 1: the Democrats side of things, anyway, No question. Ron de 282 00:16:08,360 --> 00:16:12,440 Speaker 1: Santis has done a phenomenal job in Florida based on 283 00:16:12,520 --> 00:16:17,400 Speaker 1: everything that you can objectively see. People moving here, economic growth, 284 00:16:17,480 --> 00:16:20,440 Speaker 1: I mean, and people complain about the cost of housing. Yeah, 285 00:16:20,560 --> 00:16:23,120 Speaker 1: supply and demand and it is way too expensive. Let 286 00:16:23,120 --> 00:16:26,160 Speaker 1: me let me just say, but that's because people want 287 00:16:26,160 --> 00:16:28,560 Speaker 1: to live here, right, I mean, it's you know, why 288 00:16:28,680 --> 00:16:32,560 Speaker 1: why are like you know, Mercedes so expensive as cars? 289 00:16:33,280 --> 00:16:35,480 Speaker 1: People want them I mean, you know they can charge 290 00:16:35,520 --> 00:16:37,520 Speaker 1: the prices they do. It's what the market will bear. 291 00:16:39,360 --> 00:16:42,040 Speaker 1: And people want to live in Florida, so it's very expensive. Anyway, 292 00:16:42,080 --> 00:16:44,960 Speaker 1: DeSantis had a meeting in Miami with Trump, and Trump 293 00:16:46,000 --> 00:16:50,160 Speaker 1: put this out on Truth Social, which Clay watches the stock. 294 00:16:50,480 --> 00:16:52,200 Speaker 1: Do we do? I need to put some money to 295 00:16:52,280 --> 00:16:54,240 Speaker 1: put and then if I put money into Truth Social 296 00:16:54,320 --> 00:16:56,280 Speaker 1: might not allowed to talk about Truth Social. Right, That's 297 00:16:56,280 --> 00:16:58,520 Speaker 1: the thing. So I have to say, don't know. 298 00:16:58,720 --> 00:17:01,640 Speaker 2: We told you it was going to be a crazy ride. 299 00:17:02,120 --> 00:17:06,320 Speaker 2: The stock was at seventy dollars roughly at the end 300 00:17:06,400 --> 00:17:10,520 Speaker 2: of March. It then fell to twenty two dollars by 301 00:17:10,560 --> 00:17:15,120 Speaker 2: mid April. It's now basically back to fifty as we 302 00:17:15,200 --> 00:17:18,440 Speaker 2: come to the end of the month. All Right, this 303 00:17:18,520 --> 00:17:20,800 Speaker 2: is not the stock. If you just want to put 304 00:17:20,840 --> 00:17:23,520 Speaker 2: it in the in the in the Senate, I forget 305 00:17:23,520 --> 00:17:24,000 Speaker 2: it is. 306 00:17:24,040 --> 00:17:27,480 Speaker 1: It is a roller coaster ride every day no matter what. Yes, 307 00:17:27,720 --> 00:17:30,520 Speaker 1: So Trump on Truth Social, That's why I was thinking 308 00:17:30,560 --> 00:17:32,280 Speaker 1: about it. Put this out there. I'm just gonna read 309 00:17:32,320 --> 00:17:34,880 Speaker 1: this to you. I am very happy to. 310 00:17:34,880 --> 00:17:39,280 Speaker 6: Have the full and enthusiastic support of Governor DeSantis of Florida. 311 00:17:39,960 --> 00:17:43,320 Speaker 6: We had a great meeting yesterday arranged by mutual friend 312 00:17:43,400 --> 00:17:46,960 Speaker 6: Steve Woodcoff at his beautiful Shelby Club. 313 00:17:46,680 --> 00:17:50,880 Speaker 1: In Hollywood, Florida. The conversation mostly concerned how we would 314 00:17:50,920 --> 00:17:56,720 Speaker 1: work closer together to make America great again. Also discussed 315 00:17:56,800 --> 00:18:00,560 Speaker 1: was the future of Florida, which is fantastic. I greatly 316 00:18:00,600 --> 00:18:03,760 Speaker 1: appreciate Ron's support and taking back our country from the 317 00:18:03,800 --> 00:18:08,440 Speaker 1: worst president in the history of the United States. November 318 00:18:08,440 --> 00:18:13,280 Speaker 1: fifth is a big day. There you go from from 319 00:18:13,320 --> 00:18:15,040 Speaker 1: the thank you from the death. Next time I'll do 320 00:18:15,080 --> 00:18:16,800 Speaker 1: it in a Cajun accent to really mess this up 321 00:18:18,040 --> 00:18:20,600 Speaker 1: Trump himself. It's hugely different. Yeah, we don't want to 322 00:18:20,600 --> 00:18:24,160 Speaker 1: get those confused. Look, this is it's good to see 323 00:18:24,359 --> 00:18:26,920 Speaker 1: and I think on the one hand, it's just we 324 00:18:26,920 --> 00:18:29,440 Speaker 1: We had said this was coming and because people got 325 00:18:29,600 --> 00:18:33,760 Speaker 1: very passionate. Remember, why are you endorsing descentists? Why are 326 00:18:33,800 --> 00:18:37,520 Speaker 1: you endorsing Trump? Or or you're pushing too hard for 327 00:18:37,640 --> 00:18:39,560 Speaker 1: just said, is you're pushing too hard for Trump? He said, Look, 328 00:18:39,560 --> 00:18:41,800 Speaker 1: we're just talking about what they're saying. We can't endorse. 329 00:18:41,840 --> 00:18:43,800 Speaker 1: We don't endorse. We have a rule, the rush rule. 330 00:18:45,320 --> 00:18:48,560 Speaker 1: Now everyone gets to just hold hands and watch you know, 331 00:18:48,720 --> 00:18:50,760 Speaker 1: now we get to put on helmets and fight the communists, 332 00:18:50,800 --> 00:18:53,440 Speaker 1: but we're all doing it together, which is the good thing. 333 00:18:53,440 --> 00:18:57,480 Speaker 1: And this is the one, the one more broad political 334 00:18:57,520 --> 00:18:59,960 Speaker 1: takeaway I have from this clay because we knew this 335 00:19:00,240 --> 00:19:01,840 Speaker 1: to happen. Trump's de Santis said it's a good thing. 336 00:19:01,840 --> 00:19:03,600 Speaker 1: And I'm glad to see that this is where it's going. 337 00:19:04,920 --> 00:19:07,600 Speaker 1: And I still hope that Governor Stantists just has a 338 00:19:07,600 --> 00:19:11,280 Speaker 1: big role in GOP politics going forward, setting the example 339 00:19:11,280 --> 00:19:12,960 Speaker 1: he has in Florida. And maybe he's gonna run again 340 00:19:12,960 --> 00:19:20,000 Speaker 1: in twenty eight. We'll see. But the prosecutions of Donald Trump, 341 00:19:20,119 --> 00:19:26,960 Speaker 1: I think have not only failed to turn people against Trump. 342 00:19:27,920 --> 00:19:32,160 Speaker 1: I think that they have also ensured a circling of 343 00:19:32,200 --> 00:19:36,960 Speaker 1: the wagons, a consolidation of support around Donald Trump. Because 344 00:19:37,840 --> 00:19:40,160 Speaker 1: even if you are you know, you can go down 345 00:19:40,160 --> 00:19:42,040 Speaker 1: the list. We all know what they are. The criticisms 346 00:19:42,080 --> 00:19:44,639 Speaker 1: of Trump couldn't get the following things done on the 347 00:19:44,640 --> 00:19:48,240 Speaker 1: first term. You know, there are Republicans and I don't 348 00:19:48,280 --> 00:19:50,600 Speaker 1: mean never Trumpers, and I don't think it's helpful to 349 00:19:50,640 --> 00:19:53,920 Speaker 1: conflate those things. Never Trumpers are Democrats who lie to everybody, right, 350 00:19:54,600 --> 00:19:56,680 Speaker 1: There are Republicans who are critical of Trump but will 351 00:19:56,680 --> 00:19:59,080 Speaker 1: still support Trump, or have been critical of Trump but 352 00:19:59,240 --> 00:20:02,760 Speaker 1: now are totally behind him. And I think even for 353 00:20:02,840 --> 00:20:07,159 Speaker 1: those for those individuals who are cautious in their support 354 00:20:07,160 --> 00:20:09,600 Speaker 1: of Trump in the past, play to see what's gone 355 00:20:09,600 --> 00:20:13,960 Speaker 1: on with the civil uh, you know, the civil law 356 00:20:14,000 --> 00:20:18,959 Speaker 1: fair the criminal prosecutions, the craziness they have unleashed against him. 357 00:20:19,400 --> 00:20:21,439 Speaker 1: I think they've helped ensure that it truly is Trump's 358 00:20:21,440 --> 00:20:23,399 Speaker 1: party again just in time for the election. 359 00:20:24,359 --> 00:20:26,879 Speaker 2: There's a funny he uh, now they're not going to 360 00:20:26,960 --> 00:20:30,119 Speaker 2: have this case. But there was the poll out I 361 00:20:30,160 --> 00:20:35,240 Speaker 2: believe it was from CNN, which said that if Trump 362 00:20:35,359 --> 00:20:40,000 Speaker 2: were to win the if Trump were convicted, This was 363 00:20:40,040 --> 00:20:44,960 Speaker 2: from ge Harvard Harris Pole, if Trump is convicted for 364 00:20:45,080 --> 00:20:49,359 Speaker 2: inciting the Capitol riots of January sixth, who would you 365 00:20:49,480 --> 00:20:54,440 Speaker 2: vote for Trump? Fifty two to forty eight. His margin 366 00:20:54,680 --> 00:20:58,520 Speaker 2: in this poll actually went up if he was convicted 367 00:20:58,640 --> 00:21:03,600 Speaker 2: for inciting the It's of January sixth. So it is 368 00:21:03,680 --> 00:21:08,520 Speaker 2: in some level, potentially the case that these charges have 369 00:21:08,680 --> 00:21:13,320 Speaker 2: been the best advertisement possible for Trump, because they have 370 00:21:13,480 --> 00:21:18,199 Speaker 2: solidified his argument that all of the government is a 371 00:21:18,320 --> 00:21:22,439 Speaker 2: rate against him and that he is standing between you 372 00:21:23,119 --> 00:21:29,440 Speaker 2: meaning all of us and otherwise chaos. And even today 373 00:21:29,760 --> 00:21:32,600 Speaker 2: when Merchand came out the judge in the New York 374 00:21:32,600 --> 00:21:36,960 Speaker 2: City case and said, I'm finding Trump in contempt nine 375 00:21:37,040 --> 00:21:42,200 Speaker 2: different times, he find him nine thousand dollars and then 376 00:21:42,359 --> 00:21:50,360 Speaker 2: complained that the overall cost, basically his power, given Trump's wealth, 377 00:21:51,200 --> 00:21:54,800 Speaker 2: was not significant enough to deter his behavior. Nine thousand 378 00:21:54,880 --> 00:22:01,080 Speaker 2: dollars to Trump is the equivalent of many people out 379 00:22:01,080 --> 00:22:04,840 Speaker 2: there getting like a five dollars parking fine if it's 380 00:22:04,920 --> 00:22:08,600 Speaker 2: not significant enough, more of a just kind of a 381 00:22:08,680 --> 00:22:11,679 Speaker 2: sign of how little there is a consequence. So he 382 00:22:11,840 --> 00:22:15,080 Speaker 2: said Buck that now he's got to think about jailing 383 00:22:15,119 --> 00:22:19,560 Speaker 2: Trump if he is continuing to act in contempt of court. 384 00:22:20,040 --> 00:22:22,760 Speaker 2: And I actually think this would be the best thing 385 00:22:22,840 --> 00:22:26,240 Speaker 2: ever for Trump if they put him in jail for 386 00:22:26,400 --> 00:22:30,280 Speaker 2: speaking out about how ridiculous the case is against him. 387 00:22:30,720 --> 00:22:33,439 Speaker 2: I feel like his poll numbers would go up even more. 388 00:22:34,160 --> 00:22:39,320 Speaker 2: So we're three weeks in to this trial. If anything, 389 00:22:39,640 --> 00:22:42,400 Speaker 2: I bet you would agree with me. Most people are 390 00:22:42,400 --> 00:22:46,320 Speaker 2: paying more attention to the protests on college campuses than 391 00:22:46,359 --> 00:22:48,959 Speaker 2: they are to the Trump trial, to the extent that 392 00:22:49,000 --> 00:22:51,639 Speaker 2: you can compare the two in terms of what's going on, 393 00:22:52,520 --> 00:22:56,560 Speaker 2: and if you are paying attention to them, either it's 394 00:22:56,600 --> 00:23:00,840 Speaker 2: making you more steadfast in your support of Trump or 395 00:23:01,000 --> 00:23:04,040 Speaker 2: it's making you less likely to support Biden. I think 396 00:23:04,080 --> 00:23:06,320 Speaker 2: they've destroyed They only had two real arguments to me. 397 00:23:06,400 --> 00:23:10,200 Speaker 2: Buck they had and still have abortion, which they're gonna 398 00:23:10,240 --> 00:23:12,920 Speaker 2: run as hard as they can. It's basically the only 399 00:23:12,960 --> 00:23:16,200 Speaker 2: issue they have. But they in twenty twenty two ran 400 00:23:16,280 --> 00:23:19,800 Speaker 2: on democracy in January sixth as an insurrection, and Trump 401 00:23:19,880 --> 00:23:22,240 Speaker 2: is a unique threat to democracy. I think a lot 402 00:23:22,240 --> 00:23:24,600 Speaker 2: of people say, wait a minute, you're trying to put 403 00:23:24,640 --> 00:23:27,000 Speaker 2: your chief political opponent in prison for the. 404 00:23:26,960 --> 00:23:27,879 Speaker 1: Rest of his life. 405 00:23:28,200 --> 00:23:31,720 Speaker 2: I think that's canceled out the democracy argument for Democrats. 406 00:23:32,520 --> 00:23:35,760 Speaker 1: Yeah, I think that they've created a situation where they 407 00:23:36,680 --> 00:23:41,160 Speaker 1: they've overplayed their hand and they've become exactly what they 408 00:23:41,160 --> 00:23:43,800 Speaker 1: pretend to be fighting against in the eyes of the public, 409 00:23:43,880 --> 00:23:47,040 Speaker 1: which is the election interference here. It couldn't be more obvious. 410 00:23:47,800 --> 00:23:51,359 Speaker 1: I'd also say Clay that because there's no cameras in 411 00:23:51,400 --> 00:23:54,240 Speaker 1: the courtroom, and because the subject matters so far, and 412 00:23:54,400 --> 00:23:58,720 Speaker 1: let's be honest, this is like it's like they're holding 413 00:23:58,760 --> 00:24:05,120 Speaker 1: a criminal prosecution of Donald Trump for ripping the mattress 414 00:24:05,160 --> 00:24:08,280 Speaker 1: tags off prematurely or something. It couldn't be you know 415 00:24:08,320 --> 00:24:10,439 Speaker 1: the things that say you cannot remove under penalty of law. 416 00:24:10,480 --> 00:24:14,040 Speaker 1: Yeah yeah, yeah, yeah yeah. It couldn't be more boring. Okay, 417 00:24:14,240 --> 00:24:17,720 Speaker 1: a business records trial. I know they're saying, oh, but 418 00:24:17,800 --> 00:24:19,879 Speaker 1: Stormy Daniels in the payoff, and maybe they're gonna call 419 00:24:19,880 --> 00:24:23,800 Speaker 1: Stormy Daniels as a witness. It's just not interesting and 420 00:24:23,840 --> 00:24:27,679 Speaker 1: it's certainly not horrifying and criminal and you know, worthy 421 00:24:27,680 --> 00:24:30,880 Speaker 1: of high drama. And and so I think it's really 422 00:24:30,920 --> 00:24:34,439 Speaker 1: hard for the Democrats to get away with spinning this 423 00:24:34,520 --> 00:24:38,280 Speaker 1: as anything other than a harassment campaign. I mean, just 424 00:24:38,280 --> 00:24:42,400 Speaker 1: the fact of what they're doing, what they're proposing as 425 00:24:42,480 --> 00:24:45,440 Speaker 1: the crimes that Trump committed, and that there's no high 426 00:24:45,440 --> 00:24:47,640 Speaker 1: court room drama. We're all sitting here. It's like they're 427 00:24:47,680 --> 00:24:52,359 Speaker 1: forcing Trump to go through you know, DEI training for 428 00:24:52,840 --> 00:24:56,440 Speaker 1: the trial or something. I mean, it's really boring, nonsensical stuff. 429 00:24:57,320 --> 00:25:00,760 Speaker 2: I think that's true. And also it's all public before, 430 00:25:01,680 --> 00:25:06,040 Speaker 2: so really there's no new revelation that I have seen 431 00:25:06,119 --> 00:25:09,280 Speaker 2: come out of any of this court proceeding. And so 432 00:25:09,560 --> 00:25:12,840 Speaker 2: I think it's ultimately working to Trump's favor. And according 433 00:25:12,840 --> 00:25:16,960 Speaker 2: to Mark Simon, maybe helping Trump to make a case. 434 00:25:16,760 --> 00:25:17,560 Speaker 1: To win New York. 435 00:25:17,640 --> 00:25:19,920 Speaker 2: That would be the ultimate kick in the teeth thing 436 00:25:19,960 --> 00:25:22,959 Speaker 2: here if let's say, Buck that we got a mistrial, 437 00:25:23,680 --> 00:25:26,280 Speaker 2: which there's a twenty percent chance of according to the 438 00:25:26,320 --> 00:25:30,680 Speaker 2: gambling market's polymarket, and then Trump were able to make 439 00:25:30,760 --> 00:25:34,359 Speaker 2: New York competitive because they forced him to stay up 440 00:25:34,400 --> 00:25:36,320 Speaker 2: here for six or eight weeks, and he kept going 441 00:25:36,359 --> 00:25:39,120 Speaker 2: out a meeting with the construction workers, and he kept 442 00:25:39,119 --> 00:25:41,560 Speaker 2: going and meeting with all the different people all over. 443 00:25:41,600 --> 00:25:43,120 Speaker 1: Remember they cheered him in Harlem. 444 00:25:44,840 --> 00:25:47,439 Speaker 2: I this is why I started off the show by saying, 445 00:25:48,040 --> 00:25:51,479 Speaker 2: tomorrow is May one. I think there's starting to be 446 00:25:51,720 --> 00:25:55,960 Speaker 2: a legit panic among Democrats as they look. I mean, 447 00:25:56,040 --> 00:25:58,359 Speaker 2: we talked about this was it last week? I believe 448 00:25:58,960 --> 00:26:02,880 Speaker 2: Axios reported that there now when Biden walks to and 449 00:26:02,920 --> 00:26:07,040 Speaker 2: from the helicopter, trying to surround him with aids because 450 00:26:07,040 --> 00:26:11,680 Speaker 2: he looks to infirm if he walks by himself. I mean, 451 00:26:11,800 --> 00:26:15,840 Speaker 2: this is this is a panic. Imagine that's your election 452 00:26:16,000 --> 00:26:19,360 Speaker 2: strategy is, let's just not let people see the guy 453 00:26:19,400 --> 00:26:22,720 Speaker 2: who is the President of the United States by himself 454 00:26:22,880 --> 00:26:23,439 Speaker 2: very often. 455 00:26:24,480 --> 00:26:27,840 Speaker 1: This whole thing is a farce, meaning the Biden presidency. 456 00:26:28,080 --> 00:26:31,560 Speaker 1: The fact that they elected this guy in the first 457 00:26:31,600 --> 00:26:36,639 Speaker 1: place was really in response, I think to the unique 458 00:26:36,680 --> 00:26:40,080 Speaker 1: circumstances of the pandemic and the fact that they thought 459 00:26:40,160 --> 00:26:42,760 Speaker 1: that they could get away with him not presenting himself 460 00:26:43,160 --> 00:26:47,240 Speaker 1: to the American people, they could control the entire national narrative. 461 00:26:49,040 --> 00:26:51,600 Speaker 1: This is it's absurd. I mean, this is absurd in 462 00:26:51,640 --> 00:26:55,159 Speaker 1: the truest sense, that Joe Biden was president already and 463 00:26:55,160 --> 00:27:00,440 Speaker 1: that he's running again, and at some point people enough 464 00:27:00,480 --> 00:27:03,560 Speaker 1: people wake up to this reality. I think we may 465 00:27:03,560 --> 00:27:07,720 Speaker 1: be there. But I'm also I'm concerned because it was 466 00:27:07,880 --> 00:27:10,280 Speaker 1: almost as crazy in twenty twenty in a lot of ways, 467 00:27:10,400 --> 00:27:12,840 Speaker 1: it's only a little crazier now because we've seen more 468 00:27:12,880 --> 00:27:15,119 Speaker 1: of him. We know he's not a uniter, we know 469 00:27:15,200 --> 00:27:17,240 Speaker 1: he's a divider, we know he's bad at the job. 470 00:27:17,440 --> 00:27:20,440 Speaker 1: We know his family's corrupt, we know his son should 471 00:27:20,440 --> 00:27:23,240 Speaker 1: be in prison. Like we know all of these things now, 472 00:27:24,280 --> 00:27:27,520 Speaker 1: and yet really this guy was president, Like this is 473 00:27:27,520 --> 00:27:30,119 Speaker 1: the best the Democrats have. I know, people can like 474 00:27:30,119 --> 00:27:33,119 Speaker 1: Trump or not like Trump or whatever. I understand that 475 00:27:33,119 --> 00:27:36,359 Speaker 1: there's all this that he invokes, all this passionate people 476 00:27:37,000 --> 00:27:40,040 Speaker 1: He's a remarkable guy, you know what I mean. He's 477 00:27:40,119 --> 00:27:43,240 Speaker 1: not a heck of a life. He's not some boring, 478 00:27:43,920 --> 00:27:49,720 Speaker 1: shiftless machine politician who or shifty, I should say, machine 479 00:27:49,720 --> 00:27:54,719 Speaker 1: politician who hasn't had an original thought or real victory 480 00:27:54,720 --> 00:27:56,240 Speaker 1: to call his own his entire life. 481 00:27:56,440 --> 00:27:58,280 Speaker 2: That's why I went back and listened to the Howard 482 00:27:58,320 --> 00:28:00,359 Speaker 2: Stern interview with Biden. I just wanted to hear it 483 00:28:00,359 --> 00:28:02,760 Speaker 2: because we haven't, frankly heard Biden talk for very long. 484 00:28:02,800 --> 00:28:04,960 Speaker 1: Are you changing your opinion on Howard Stern in general? 485 00:28:04,960 --> 00:28:07,040 Speaker 1: By the way, I'm gonna start sending to you more stuff. 486 00:28:07,240 --> 00:28:10,120 Speaker 1: Howard Stern's gotten away with a lot of people thinking 487 00:28:10,160 --> 00:28:12,120 Speaker 1: a lot of things about him that were never really true. 488 00:28:12,160 --> 00:28:16,320 Speaker 1: On what I respected was the ability to redefine the 489 00:28:16,320 --> 00:28:19,520 Speaker 1: way that you do radio. Regardless of what you think 490 00:28:19,520 --> 00:28:23,080 Speaker 1: about what he says. There was a rebelliousness in his 491 00:28:23,320 --> 00:28:24,840 Speaker 1: in the same way that I think you could say 492 00:28:24,920 --> 00:28:27,080 Speaker 1: Rush redefine the way you do radio. I think Howard 493 00:28:27,119 --> 00:28:30,720 Speaker 1: Stern and Rush are the most legendary people in our 494 00:28:30,840 --> 00:28:37,200 Speaker 1: lives to do radio. Rush guns his whole life. Howard Stern, 495 00:28:37,240 --> 00:28:39,720 Speaker 1: it's building on what you said. It's one thing that. 496 00:28:41,640 --> 00:28:45,240 Speaker 2: It's one thing to say that you don't like Trump. 497 00:28:45,960 --> 00:28:48,560 Speaker 2: I don't agree with that. But if Howard Stern's position 498 00:28:48,640 --> 00:28:50,360 Speaker 2: was just I don't like Trump, I'd be like, this 499 00:28:50,400 --> 00:28:53,640 Speaker 2: is a weird hill to die on. But for him 500 00:28:53,680 --> 00:28:57,120 Speaker 2: to say Biden has been a great president. Do we 501 00:28:57,200 --> 00:28:57,800 Speaker 2: have that audio? 502 00:28:57,960 --> 00:28:59,840 Speaker 1: That's what we do, and we've got a great We've 503 00:28:59,840 --> 00:29:02,960 Speaker 1: got great Kamala audio too. Oh yeah, I don't even 504 00:29:02,960 --> 00:29:05,520 Speaker 1: know that Drew Barrymore had a show, but we'll she 505 00:29:05,560 --> 00:29:08,280 Speaker 1: has a show, appairent. We'll get into this. But if 506 00:29:08,280 --> 00:29:12,400 Speaker 1: you don't want to be a pathetic campus protester who's like, eh, 507 00:29:12,560 --> 00:29:15,040 Speaker 1: why are they coming and spaying me with the pepper spray? 508 00:29:15,040 --> 00:29:15,800 Speaker 1: Because you demand? 509 00:29:15,800 --> 00:29:16,400 Speaker 2: Did they do this? 510 00:29:17,240 --> 00:29:17,720 Speaker 1: You demand? 511 00:29:17,720 --> 00:29:17,880 Speaker 7: You know. 512 00:29:17,920 --> 00:29:19,480 Speaker 1: I think I'm just gonna say it. I think there's 513 00:29:19,520 --> 00:29:21,840 Speaker 1: a lot of low tea out there among these guys 514 00:29:21,840 --> 00:29:24,880 Speaker 1: at these protests. For sure, they're all crying, go home 515 00:29:24,960 --> 00:29:27,640 Speaker 1: to mommy. They're all crying. It's ridiculous, but that's what 516 00:29:27,720 --> 00:29:30,200 Speaker 1: happens if your tea level drops too low. You know 517 00:29:30,240 --> 00:29:32,480 Speaker 1: what you can do to help yourself out. Chalk's male 518 00:29:32,560 --> 00:29:37,160 Speaker 1: vitality stack, specifically formulated to fuel your body with energy 519 00:29:37,200 --> 00:29:40,720 Speaker 1: and stamina. This supplement set includes a leading ingredient proven 520 00:29:40,760 --> 00:29:44,160 Speaker 1: to replenish diminished amounts of testosterone a guy's body up 521 00:29:44,200 --> 00:29:47,160 Speaker 1: the twenty percent in just three months time. Testosterone is 522 00:29:47,200 --> 00:29:49,360 Speaker 1: the hormone that provides energy to a guy's body, and 523 00:29:49,400 --> 00:29:51,960 Speaker 1: as we age, we produce less of it, making Chalk's 524 00:29:51,960 --> 00:29:55,160 Speaker 1: male vitality stack and everyday part of your regiment helps 525 00:29:55,200 --> 00:29:58,080 Speaker 1: with all that. Don't become one of these blue haired 526 00:29:58,120 --> 00:30:01,760 Speaker 1: communist who's crying all the time. Try some chalk. Chalk 527 00:30:01,880 --> 00:30:05,600 Speaker 1: is officially offering a supercharge spring sale and any subscription 528 00:30:05,720 --> 00:30:09,920 Speaker 1: for life. Visit chalk dot com. That's choq dot com. 529 00:30:10,000 --> 00:30:12,240 Speaker 1: Use my name Buck as your promo code to unlock 530 00:30:12,280 --> 00:30:16,720 Speaker 1: this offer. Chalkcchoq dot com promo code Buck. 531 00:30:17,080 --> 00:30:23,360 Speaker 5: Truth Seeking, Reality Telling The Clay Travis and Buck Sexton Show. 532 00:30:23,480 --> 00:30:26,840 Speaker 2: Welcome back in Clay Travis Buck Sexton Show. We are 533 00:30:26,840 --> 00:30:30,120 Speaker 2: scheduled in the year term here and are now joined 534 00:30:30,120 --> 00:30:33,760 Speaker 2: by the Attorney General of Texas, Ken Paxton. He is 535 00:30:33,840 --> 00:30:37,080 Speaker 2: with us from New York City, where I believe he 536 00:30:37,120 --> 00:30:40,160 Speaker 2: has spent part of today so far with Donald Trump, 537 00:30:40,200 --> 00:30:43,600 Speaker 2: who is in the courtroom today in New York City 538 00:30:43,680 --> 00:30:47,240 Speaker 2: dealing with the insane lawfair that is continuing to play 539 00:30:47,240 --> 00:30:50,040 Speaker 2: itself out there, and you got a bunch you want 540 00:30:50,080 --> 00:30:51,840 Speaker 2: to talk about with us, and we appreciate you coming on, 541 00:30:51,880 --> 00:30:54,920 Speaker 2: Attorney General of Texas, Ken Paxton, but I actually want 542 00:30:54,920 --> 00:30:58,640 Speaker 2: to start with you. You have been through, maybe more 543 00:30:58,680 --> 00:31:03,640 Speaker 2: than almost anyone, lawfair of an unprecedented degree with people 544 00:31:03,720 --> 00:31:07,560 Speaker 2: coming after you in the state of Texas. Have you 545 00:31:07,640 --> 00:31:10,720 Speaker 2: talked about that with Trump walked through what happened to 546 00:31:10,800 --> 00:31:14,120 Speaker 2: you and is there any lesson that you can draw 547 00:31:14,480 --> 00:31:16,520 Speaker 2: from what happened to you that you think could be 548 00:31:16,560 --> 00:31:18,920 Speaker 2: applied to what Trump is going through right now? 549 00:31:19,480 --> 00:31:20,160 Speaker 8: Oh? Absolutely. 550 00:31:20,160 --> 00:31:22,240 Speaker 7: As a matter of fact, I was literally just talking 551 00:31:22,240 --> 00:31:24,959 Speaker 7: to them and I walked out we're eating lunch to 552 00:31:25,000 --> 00:31:28,000 Speaker 7: go get on this radio show. And that's something we've 553 00:31:28,000 --> 00:31:30,200 Speaker 7: talked about often about how many times since I've been 554 00:31:30,200 --> 00:31:33,160 Speaker 7: in office, how many times they've come after me. And 555 00:31:33,760 --> 00:31:35,760 Speaker 7: the goal is they try to wear you down, They 556 00:31:35,840 --> 00:31:39,760 Speaker 7: try to drain you of your resources, They try to 557 00:31:39,840 --> 00:31:43,240 Speaker 7: use the media to force you to resign without ever 558 00:31:43,480 --> 00:31:49,160 Speaker 7: proving anything, and they just it is so frustrating that 559 00:31:49,160 --> 00:31:50,960 Speaker 7: we're having to deal with this and I'm sitting here 560 00:31:51,000 --> 00:31:53,080 Speaker 7: listening to this trial today and I'm like, this is 561 00:31:53,120 --> 00:31:57,160 Speaker 7: just a waste of time, weeks and weeks of just 562 00:31:57,360 --> 00:32:01,960 Speaker 7: wasting people's times and putting President Trump under stress that 563 00:32:02,080 --> 00:32:03,160 Speaker 7: he shouldn't have to be enter. 564 00:32:03,280 --> 00:32:05,040 Speaker 8: It's it's sad. 565 00:32:05,640 --> 00:32:08,080 Speaker 7: I'm little sitting here thinking it's just sad that we're 566 00:32:08,080 --> 00:32:10,719 Speaker 7: at this place in our country where the left use 567 00:32:10,760 --> 00:32:14,200 Speaker 7: of the court system not to promote justice, not to 568 00:32:14,400 --> 00:32:17,160 Speaker 7: enforce the rule of law, but to try to take 569 00:32:17,200 --> 00:32:19,800 Speaker 7: out political opponents. And that's exactly what they're doing to him. 570 00:32:19,800 --> 00:32:20,480 Speaker 7: They've done it to me. 571 00:32:22,160 --> 00:32:25,480 Speaker 1: General Paxton, thanks for being with us. What do you 572 00:32:25,560 --> 00:32:29,120 Speaker 1: what are your your hopes here as you're observing firsthand 573 00:32:29,560 --> 00:32:33,400 Speaker 1: what's going on in New York, if the system is 574 00:32:33,520 --> 00:32:36,720 Speaker 1: going to maintain any sense of integrity and if people 575 00:32:36,760 --> 00:32:38,320 Speaker 1: are going to be able to have any belief in 576 00:32:38,400 --> 00:32:42,440 Speaker 1: its fairness going forward, Clearly you can't get a guilty 577 00:32:42,560 --> 00:32:45,400 Speaker 1: verdict against Donald Trump because that would just be giving 578 00:32:45,440 --> 00:32:48,200 Speaker 1: the law fair crowd exactly what they want. But are 579 00:32:48,240 --> 00:32:50,320 Speaker 1: there any things that we should expect in terms of 580 00:32:50,360 --> 00:32:53,480 Speaker 1: what the Trump defense is going to be putting forward, 581 00:32:53,600 --> 00:32:56,840 Speaker 1: either as as claims or as motions in the court 582 00:32:56,880 --> 00:33:00,600 Speaker 1: that you think could help bring about at least a 583 00:33:01,240 --> 00:33:02,920 Speaker 1: hung jury, if not an acquittal. 584 00:33:03,880 --> 00:33:06,720 Speaker 7: So I'm not necessarily part of their their legal strategy. 585 00:33:06,760 --> 00:33:09,520 Speaker 7: I just wanted to come show support for the president 586 00:33:09,960 --> 00:33:12,880 Speaker 7: and then speak out generally on the issue of what's 587 00:33:12,960 --> 00:33:15,160 Speaker 7: going on here. I mean, we know that he's in 588 00:33:15,440 --> 00:33:17,400 Speaker 7: a place where it's difficult to win. He's going to 589 00:33:17,520 --> 00:33:20,560 Speaker 7: judge that is probably. 590 00:33:20,320 --> 00:33:22,640 Speaker 1: How's well, then tell me this, how's he doing? I mean, 591 00:33:22,760 --> 00:33:24,200 Speaker 1: you know, if you don't want to get into the 592 00:33:24,200 --> 00:33:27,640 Speaker 1: strategy aspect of it, I mean, how'ses how's his state 593 00:33:27,680 --> 00:33:29,640 Speaker 1: of mind? The whole thing. It just must be like 594 00:33:29,680 --> 00:33:31,560 Speaker 1: he's living in some Kafka nightmare. 595 00:33:32,480 --> 00:33:34,760 Speaker 7: Well, look, he I think it's frustrating to him that 596 00:33:34,760 --> 00:33:36,440 Speaker 7: he can't get out on the campaign trail he's running 597 00:33:36,480 --> 00:33:39,440 Speaker 7: for I mean, think about it. They time this so 598 00:33:39,480 --> 00:33:41,960 Speaker 7: that he would occur while he's running for president, and 599 00:33:42,000 --> 00:33:44,520 Speaker 7: I say, this didn't happen three years ago, This didn't 600 00:33:44,520 --> 00:33:46,239 Speaker 7: happen two years ago, it didn'tven happen a year ago. 601 00:33:46,280 --> 00:33:50,200 Speaker 7: It's happening right now, right before presidential election. And I 602 00:33:50,280 --> 00:33:52,520 Speaker 7: think that's very, very frustrating to him. But I will 603 00:33:52,560 --> 00:33:57,080 Speaker 7: say this, he's he's a very upbeat guy. Despite the 604 00:33:57,120 --> 00:34:00,080 Speaker 7: fact that they are trying to destroy his life. I 605 00:34:00,080 --> 00:34:02,440 Speaker 7: mean literally, he's one of the most upbeat people I've 606 00:34:02,440 --> 00:34:06,080 Speaker 7: ever met, and he's so resilient. I'm really proud of him. 607 00:34:06,760 --> 00:34:09,440 Speaker 2: We're talking to the Attorney General of Texas, Ken Paxton 608 00:34:10,560 --> 00:34:13,120 Speaker 2: right now. In addition to the lawfair that's going on 609 00:34:13,320 --> 00:34:16,759 Speaker 2: with Trump, you've got all sorts of craziness breaking out 610 00:34:16,880 --> 00:34:19,880 Speaker 2: on university campuses just up the road from where you 611 00:34:19,920 --> 00:34:23,319 Speaker 2: guys are now at Columbia, but also back in the 612 00:34:23,360 --> 00:34:25,880 Speaker 2: state of Texas, at the University of Texas at Austin, 613 00:34:25,920 --> 00:34:29,800 Speaker 2: and I believe at Rice among others. What should happen 614 00:34:29,880 --> 00:34:34,520 Speaker 2: to anti Israel protesters in your mind? And how much 615 00:34:34,520 --> 00:34:37,480 Speaker 2: would you like to have the authority to resolve what's 616 00:34:37,520 --> 00:34:40,680 Speaker 2: going on at Columbia and NY you right now? How 617 00:34:40,719 --> 00:34:43,520 Speaker 2: easy would it be to apply the law and in 618 00:34:43,560 --> 00:34:47,520 Speaker 2: these protests if blue city and blue state attorney generals 619 00:34:47,640 --> 00:34:50,400 Speaker 2: and law enforcement were willing to do so. 620 00:34:50,520 --> 00:34:53,759 Speaker 7: Yeah, And there's a big difference between exercising your First 621 00:34:53,800 --> 00:34:55,680 Speaker 7: Amendment right. I think everybody has a right to speak 622 00:34:55,719 --> 00:34:58,480 Speaker 7: on whatever they wanted to speak about, until you start 623 00:34:58,520 --> 00:35:02,320 Speaker 7: threatening other people and you start causing harm to other people, 624 00:35:02,400 --> 00:35:05,959 Speaker 7: like blocking roads. They should never be allowed to block roads. 625 00:35:05,960 --> 00:35:09,000 Speaker 7: They should be arrested if they're putting people at risk, 626 00:35:09,040 --> 00:35:10,520 Speaker 7: they're slowing down transportation. 627 00:35:10,920 --> 00:35:12,880 Speaker 8: There are places you can protest. 628 00:35:12,600 --> 00:35:15,800 Speaker 7: And people should have every right to have their beliefs 629 00:35:16,040 --> 00:35:17,760 Speaker 7: and say what they believe. This is a free country 630 00:35:17,800 --> 00:35:19,960 Speaker 7: and we have a First Amendment. But when you start 631 00:35:20,560 --> 00:35:23,920 Speaker 7: threatening other people and you start causing harm to other people, 632 00:35:24,400 --> 00:35:26,520 Speaker 7: you should be arrested for that harm. And that's not 633 00:35:26,560 --> 00:35:27,440 Speaker 7: happening in this country. 634 00:35:27,480 --> 00:35:27,680 Speaker 1: Now. 635 00:35:28,440 --> 00:35:30,359 Speaker 2: There's a report out and I don't know if you've 636 00:35:30,360 --> 00:35:32,960 Speaker 2: gotten this report yourself or if you have some idea 637 00:35:33,080 --> 00:35:36,120 Speaker 2: of it, but this is Lily Kepner. 638 00:35:36,600 --> 00:35:37,800 Speaker 1: I shared this on Twitter. 639 00:35:37,920 --> 00:35:42,120 Speaker 2: A source at University of Texas Austin tells me of 640 00:35:42,160 --> 00:35:47,040 Speaker 2: the seventy seven arrests at yesterday's protest, forty six were 641 00:35:47,080 --> 00:35:50,960 Speaker 2: not Texas students. I believe that's around sixty percent of 642 00:35:51,000 --> 00:35:54,480 Speaker 2: the arrests not Texas students. When you see these protests 643 00:35:54,520 --> 00:35:56,879 Speaker 2: happening all over the place, and you see a lot 644 00:35:56,920 --> 00:35:59,960 Speaker 2: of these green pup tints suddenly emerge all over the 645 00:36:00,160 --> 00:36:02,719 Speaker 2: place as well, a lot of our listeners, a lot 646 00:36:02,760 --> 00:36:05,240 Speaker 2: of us think there's a lot of money being put 647 00:36:05,280 --> 00:36:08,440 Speaker 2: behind this. These are not oftentimes college kids. If these 648 00:36:08,520 --> 00:36:11,600 Speaker 2: numbers are accurate at Texas, how much of this is 649 00:36:11,680 --> 00:36:16,000 Speaker 2: a nationwide issue? And should there be an investigation into 650 00:36:16,040 --> 00:36:19,960 Speaker 2: who's funding these protests and how these all came about, 651 00:36:20,000 --> 00:36:23,000 Speaker 2: because it sure feels very organized that this would suddenly 652 00:36:23,000 --> 00:36:25,359 Speaker 2: emerge so rapidly so many different places. 653 00:36:25,880 --> 00:36:27,960 Speaker 7: Yeah, and it reminds me very much of what happened 654 00:36:28,120 --> 00:36:31,799 Speaker 7: when we had a Blum protests and Antifa protests. As 655 00:36:31,840 --> 00:36:33,920 Speaker 7: we well know now, many of these people are being 656 00:36:33,960 --> 00:36:37,160 Speaker 7: paid to come into different cities and states to do 657 00:36:37,200 --> 00:36:39,400 Speaker 7: the protests. They weren't just organic protests. 658 00:36:39,480 --> 00:36:41,360 Speaker 8: So yeah, I'd love to know what's going on. 659 00:36:41,440 --> 00:36:44,799 Speaker 7: I'd love to know who's behind these what I would 660 00:36:44,840 --> 00:36:48,840 Speaker 7: call non organic protests that are being organized by somebody 661 00:36:48,880 --> 00:36:49,880 Speaker 7: in a central location. 662 00:36:51,440 --> 00:36:55,600 Speaker 1: Speaking to Attorney General Ken Paxton of State of Texas 663 00:36:55,640 --> 00:36:59,399 Speaker 1: AG of the State of Texas, do you think that 664 00:36:59,440 --> 00:37:03,719 Speaker 1: these protests are likely to continue on in the places 665 00:37:03,800 --> 00:37:06,759 Speaker 1: that they seem to have, at least so far, had 666 00:37:06,800 --> 00:37:09,720 Speaker 1: the greatest residence. I mean to me, as it gets warmer, 667 00:37:09,880 --> 00:37:14,320 Speaker 1: especially in places like New York and DC, these people 668 00:37:14,440 --> 00:37:18,080 Speaker 1: have no incentive other than to continue on what they're 669 00:37:18,120 --> 00:37:20,080 Speaker 1: doing right. They seem to love the attention. Maybe they 670 00:37:20,080 --> 00:37:21,920 Speaker 1: don't love the pepper spray, but they love the attention. 671 00:37:22,920 --> 00:37:24,759 Speaker 7: Well, look, I think it depends on how we treat 672 00:37:24,800 --> 00:37:28,560 Speaker 7: it in individual locations. I think if you watched what 673 00:37:28,600 --> 00:37:32,760 Speaker 7: happened with BLM and Antifa, eventually you know it went away, 674 00:37:32,880 --> 00:37:35,240 Speaker 7: but it had a dramatic impact on some of our cities. 675 00:37:35,280 --> 00:37:37,640 Speaker 7: I've seen, you know, it's all of businesses shut down. 676 00:37:38,120 --> 00:37:38,879 Speaker 8: I've seen, you. 677 00:37:38,840 --> 00:37:42,399 Speaker 7: Know, hotels shut down. So I don't in the long run, 678 00:37:43,239 --> 00:37:45,799 Speaker 7: if we don't address it, the places that don't address it, 679 00:37:45,920 --> 00:37:49,680 Speaker 7: they end up suffering the greatest consequences of negative consequences 680 00:37:50,160 --> 00:37:53,880 Speaker 7: for not dealing with real issues that affect business and 681 00:37:53,920 --> 00:37:55,880 Speaker 7: commerce and people's safety. 682 00:37:57,040 --> 00:37:59,680 Speaker 2: Attorney General of Texas Ken Paxton with us, he's with Trump. 683 00:37:59,719 --> 00:38:02,359 Speaker 2: Tell me I am President Trump, that Buck and Clay 684 00:38:02,400 --> 00:38:04,040 Speaker 2: say hi, and that we need to get him on 685 00:38:04,040 --> 00:38:04,879 Speaker 2: the show again soon. 686 00:38:04,960 --> 00:38:06,279 Speaker 1: By the way, when you go back in Oh And 687 00:38:06,320 --> 00:38:07,560 Speaker 1: I'm going to go say that to him. 688 00:38:08,080 --> 00:38:10,840 Speaker 2: I appreciate that, all right. So you also are filing 689 00:38:10,880 --> 00:38:15,040 Speaker 2: a lawsuit regarding Title nine. I know you're a big 690 00:38:15,080 --> 00:38:18,120 Speaker 2: sports fan. Buck and I watched the Texas Alabama game 691 00:38:18,160 --> 00:38:21,280 Speaker 2: a couple of years with you down in Austin the idea, 692 00:38:21,400 --> 00:38:23,640 Speaker 2: and I'm sure you're like me, you can't believe that 693 00:38:23,719 --> 00:38:26,080 Speaker 2: this is the world we're in where I'm sure you 694 00:38:26,160 --> 00:38:30,400 Speaker 2: saw OutKick asked Don Staley, Hey, should men be able 695 00:38:30,400 --> 00:38:33,960 Speaker 2: to identify as women and play women's sports? And she 696 00:38:34,000 --> 00:38:38,280 Speaker 2: said yes? And now the Biden administration basically has endorsed 697 00:38:38,320 --> 00:38:43,480 Speaker 2: Don Staley's perspective with their new Title nine law application. 698 00:38:44,600 --> 00:38:47,520 Speaker 2: What are you trying to do to ensure that men 699 00:38:47,560 --> 00:38:50,640 Speaker 2: don't get to identify as women and dominate women's sports 700 00:38:50,640 --> 00:38:53,959 Speaker 2: and also frankly use women's locker rooms and take over 701 00:38:54,040 --> 00:38:55,960 Speaker 2: places that otherwise would belong to women. 702 00:38:56,680 --> 00:38:59,239 Speaker 7: Yeah, it's pretty clear what Congress intended here. They they 703 00:38:59,280 --> 00:39:01,960 Speaker 7: designed Title nine to protect women's sports, to give women 704 00:39:02,000 --> 00:39:05,640 Speaker 7: an opportunity to compete, to have resources, you know, go 705 00:39:05,760 --> 00:39:08,160 Speaker 7: to them allocated and dedicated to women's sports. 706 00:39:08,680 --> 00:39:10,080 Speaker 8: As as the father of. 707 00:39:10,080 --> 00:39:13,239 Speaker 7: Three daughters and now women, you know, I thought it 708 00:39:13,280 --> 00:39:16,840 Speaker 7: was it ended up being a great deal for my daughters. 709 00:39:17,719 --> 00:39:19,920 Speaker 7: Here we have a choice, and that's just the opposite. 710 00:39:20,000 --> 00:39:23,960 Speaker 7: They're rewriting law without going through Congress and changing the 711 00:39:24,360 --> 00:39:27,640 Speaker 7: allocation to men to compete against women, which is one 712 00:39:27,719 --> 00:39:31,239 Speaker 7: unfair and two is a violation of federal law and. 713 00:39:31,160 --> 00:39:33,000 Speaker 8: The violation of his ability. 714 00:39:33,040 --> 00:39:35,800 Speaker 7: He's not allowed in the constitution, I'd say him, Joe Biden. 715 00:39:36,200 --> 00:39:39,040 Speaker 7: He's not allowed to just change the law. These are 716 00:39:39,360 --> 00:39:42,080 Speaker 7: laws put in place by elected representatives. So we're assuming 717 00:39:42,160 --> 00:39:44,000 Speaker 7: him because we don't think he has the authority to 718 00:39:44,040 --> 00:39:48,160 Speaker 7: do this. If Congress did it, it'd be a different story. 719 00:39:48,560 --> 00:39:51,200 Speaker 1: Turning, General Paxton, appreciate you being with us. Thanks so much, sir. 720 00:39:51,760 --> 00:39:54,719 Speaker 8: Have a great day, all right. 721 00:39:54,800 --> 00:39:58,319 Speaker 1: Make your Mother's Day celebration a lively one with a 722 00:39:58,360 --> 00:40:02,160 Speaker 1: great gift that involves your family. Digitize all of her 723 00:40:02,200 --> 00:40:06,880 Speaker 1: old media like VHS, tapes, cassettes, film reels, even print photos. 724 00:40:07,280 --> 00:40:09,680 Speaker 1: With the help of Legacy Box. 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These guys, their whole team, they're awesome, 741 00:40:57,120 --> 00:40:59,239 Speaker 1: they love what they do, and they bring smiles to 742 00:40:59,320 --> 00:41:02,520 Speaker 1: so many people who use legacy Box. So make it 743 00:41:02,560 --> 00:41:05,360 Speaker 1: a smiley Mother's Day. Go to legacy box dot com, 744 00:41:05,360 --> 00:41:10,280 Speaker 1: slash buck. That's legacy box dot com slash b uck 745 00:41:10,760 --> 00:41:14,239 Speaker 1: for their best Mother's Day sale ever, sixty percent off 746 00:41:14,880 --> 00:41:15,560 Speaker 1: cheap up. 747 00:41:15,440 --> 00:41:19,000 Speaker 5: With Clay and Bucks campaign coverage with twenty four a 748 00:41:19,200 --> 00:41:21,920 Speaker 5: Sunday highlight reel from the week. Find it on the 749 00:41:21,920 --> 00:41:25,440 Speaker 5: free iHeartRadio app or wherever you get your podcasts. 750 00:41:25,760 --> 00:41:29,879 Speaker 1: All right, welcome back into play and Buck, and we've 751 00:41:29,880 --> 00:41:32,200 Speaker 1: got a lot going on here. We're gonna be joined 752 00:41:32,200 --> 00:41:36,520 Speaker 1: shortly by our friend Amber Smith talk on her new book. 753 00:41:36,560 --> 00:41:43,040 Speaker 1: She was a combat pilot HELO rotary wing pilot in 754 00:41:43,239 --> 00:41:46,200 Speaker 1: Afghanistan and she's going to talk to us a bit 755 00:41:46,320 --> 00:41:49,600 Speaker 1: about what her new book is about. So we're going 756 00:41:49,680 --> 00:41:52,640 Speaker 1: to enjoy that conversation to be sure, and we're also 757 00:41:52,640 --> 00:41:54,600 Speaker 1: going to take some more of your calls. Go to 758 00:41:54,640 --> 00:42:00,799 Speaker 1: Clayandbuck dot com and make sure that you consider subscribing 759 00:42:00,880 --> 00:42:03,520 Speaker 1: to play in Buck. There you get the VIP VIDs 760 00:42:03,600 --> 00:42:08,360 Speaker 1: behind the scene. Also the email for our VIP email inbox, 761 00:42:08,400 --> 00:42:11,600 Speaker 1: which is getting read every day, going right to us, 762 00:42:11,680 --> 00:42:13,680 Speaker 1: and we got a few of them while we're waiting 763 00:42:14,800 --> 00:42:17,880 Speaker 1: right here, Mark Rights. On top of all the factors 764 00:42:17,920 --> 00:42:22,160 Speaker 1: you've mentioned with Biden inflation, most small businesses now tack 765 00:42:22,239 --> 00:42:25,040 Speaker 1: on a three percent fee for using a credit card. 766 00:42:25,640 --> 00:42:29,680 Speaker 1: I've seen this too, Clay, where places are are charging 767 00:42:29,840 --> 00:42:33,320 Speaker 1: an additional fee for use of a credit card. Isn't 768 00:42:33,320 --> 00:42:36,279 Speaker 1: that against the credit card agreement though? But they're just 769 00:42:36,360 --> 00:42:38,000 Speaker 1: doing it anyway or am missing something? 770 00:42:38,400 --> 00:42:40,719 Speaker 2: I think they're just passing what they have to pay 771 00:42:40,760 --> 00:42:43,040 Speaker 2: to the credit card company onto the consul. 772 00:42:43,239 --> 00:42:44,480 Speaker 1: But have you heard no? I know, but have you 773 00:42:44,520 --> 00:42:47,400 Speaker 1: heard that? I think the credit cards companies as part 774 00:42:47,440 --> 00:42:50,319 Speaker 1: of the agreement with the you know. 775 00:42:50,239 --> 00:42:51,320 Speaker 2: The vendor retailer. 776 00:42:51,360 --> 00:42:53,719 Speaker 1: The vendor retailer says you're not supposed to do that 777 00:42:54,000 --> 00:42:56,560 Speaker 1: because they don't want people to stop using credit cards. Obviously. 778 00:42:56,600 --> 00:42:59,319 Speaker 2: Yeah, what you used to see was occasionally. I don't 779 00:42:59,360 --> 00:43:01,279 Speaker 2: think it's people don't carry as much cash, but you 780 00:43:01,360 --> 00:43:03,400 Speaker 2: used to get a discount if you paid with cash. 781 00:43:03,520 --> 00:43:06,640 Speaker 2: You probably heard and seen that over the years, but 782 00:43:06,719 --> 00:43:10,280 Speaker 2: I haven't seen that many places. I know one place 783 00:43:10,280 --> 00:43:13,000 Speaker 2: where it definitely happens is whenever I have to pay 784 00:43:13,000 --> 00:43:16,799 Speaker 2: for my law license, I pay online and they say, hey, 785 00:43:16,840 --> 00:43:19,919 Speaker 2: you have to pay the credit card fee as well. 786 00:43:20,000 --> 00:43:22,000 Speaker 2: So I have seen that online a couple of times. 787 00:43:22,239 --> 00:43:25,200 Speaker 2: I saw one of our writers at OutKick had a 788 00:43:26,400 --> 00:43:28,320 Speaker 2: good argument up and I hadn't seen him before. You know, 789 00:43:28,440 --> 00:43:30,800 Speaker 2: the thing that I've noticed is you have to tip 790 00:43:30,840 --> 00:43:35,160 Speaker 2: for everything now, every single thing you do, even if 791 00:43:35,680 --> 00:43:38,400 Speaker 2: you are just going in and picking up food for instance, 792 00:43:38,440 --> 00:43:40,880 Speaker 2: They're like, hey, do you need there's a tip calculator. 793 00:43:42,200 --> 00:43:43,960 Speaker 2: How do we feel about this? I well, so have 794 00:43:44,080 --> 00:43:46,120 Speaker 2: an argument. I've got a good one here. He said, 795 00:43:46,200 --> 00:43:50,160 Speaker 2: if you order while standing up, you should never tip. 796 00:43:51,160 --> 00:43:53,800 Speaker 2: And I've been thinking about it since I saw that argument, 797 00:43:54,560 --> 00:43:58,280 Speaker 2: and I'm like, you know what, if you're ordering standing 798 00:43:58,440 --> 00:44:01,520 Speaker 2: up or picking up, I would say standing up, I 799 00:44:01,520 --> 00:44:03,960 Speaker 2: think it's an interesting argument that there should be no 800 00:44:04,120 --> 00:44:08,280 Speaker 2: tip allowed. Now. I also tend to tip just because 801 00:44:08,440 --> 00:44:10,920 Speaker 2: they stand and look at you, and it feels awkward 802 00:44:11,000 --> 00:44:14,880 Speaker 2: to hit the zero percent. And there are some exceptions. 803 00:44:14,920 --> 00:44:18,040 Speaker 2: For instance, I would say, you know, if there's teenagers 804 00:44:18,080 --> 00:44:20,359 Speaker 2: at an ice cream shop, I take my kids into 805 00:44:20,360 --> 00:44:23,560 Speaker 2: the ice cream shop. They stand up in scoop, so 806 00:44:23,680 --> 00:44:27,360 Speaker 2: I can see an argument there. Someone who makes your coffee, 807 00:44:27,680 --> 00:44:30,400 Speaker 2: you're standing up and ordering, I can see a tip there. 808 00:44:30,719 --> 00:44:33,359 Speaker 1: I tip, I tip for coffee and all those things, 809 00:44:33,560 --> 00:44:37,120 Speaker 1: and I you know, I can understand these days. Look, 810 00:44:37,160 --> 00:44:39,319 Speaker 1: I think if you can, you should tip, and you 811 00:44:39,320 --> 00:44:41,680 Speaker 1: should tip as big as you're comfortable tipping all the time. 812 00:44:42,520 --> 00:44:45,640 Speaker 1: It's a really good way to spread it around, and 813 00:44:45,680 --> 00:44:47,440 Speaker 1: you can really make someone's day with a with a 814 00:44:47,440 --> 00:44:50,120 Speaker 1: big tip. Works in the service industry, so I think 815 00:44:50,120 --> 00:44:52,120 Speaker 1: that's an excellent thing to do when you can. I 816 00:44:52,200 --> 00:44:54,520 Speaker 1: do feel, oh we got her, Oh we got her 817 00:44:54,560 --> 00:44:57,880 Speaker 1: all right. Amber Smith with US now former senior defense 818 00:44:58,000 --> 00:45:01,759 Speaker 1: official at DoD and she's a combat veteran a rock 819 00:45:01,800 --> 00:45:06,080 Speaker 1: and Afghanistan tours. She was a Kiowa pilot and she's 820 00:45:06,120 --> 00:45:08,720 Speaker 1: got a book, a new book out, Unfit to Fight. 821 00:45:08,880 --> 00:45:13,600 Speaker 1: How woke policies are destroying our military? Amber, great to have. 822 00:45:13,560 --> 00:45:16,720 Speaker 9: You great to be honest, you bock appreciate it. 823 00:45:17,000 --> 00:45:19,399 Speaker 1: All right. So we talk about wokeness a lot here 824 00:45:19,480 --> 00:45:23,439 Speaker 1: on the show. Clearly it affects sports, which gets Clay 825 00:45:23,520 --> 00:45:26,640 Speaker 1: very upset. It affects everything else which also gets to 826 00:45:26,640 --> 00:45:30,359 Speaker 1: be very upset, and that includes our military. In what 827 00:45:30,440 --> 00:45:35,279 Speaker 1: ways is the woke stuff actually manifesting in what is 828 00:45:35,320 --> 00:45:39,680 Speaker 1: still the most fearsome and awesome armed forces in the world. 829 00:45:39,760 --> 00:45:43,840 Speaker 1: But how is wokeness infiltrating significantly? 830 00:45:43,920 --> 00:45:47,160 Speaker 9: It is now systemic throughout the Department OF's Defense and 831 00:45:47,200 --> 00:45:49,480 Speaker 9: the military, and it did catch a lot of people 832 00:45:49,880 --> 00:45:53,000 Speaker 9: by surprise, because if you think about wokeness, you think, 833 00:45:53,080 --> 00:45:55,520 Speaker 9: you know, for a while now, people have seen it 834 00:45:55,560 --> 00:45:58,440 Speaker 9: in the public school system, in the medical system, in 835 00:45:58,480 --> 00:46:01,400 Speaker 9: different industries throughout America, but most people weren't paying attention 836 00:46:01,520 --> 00:46:04,560 Speaker 9: to what was going on inside the military. You think 837 00:46:04,920 --> 00:46:09,400 Speaker 9: most recruitment, you know, happens from Red States, patriotic Americans 838 00:46:09,440 --> 00:46:12,080 Speaker 9: who want to serve their country. A lot of people 839 00:46:12,160 --> 00:46:15,279 Speaker 9: view them as conservative and they would never allow you know, 840 00:46:15,480 --> 00:46:19,040 Speaker 9: wokeness to infiltrate the US military. But sadly, that is 841 00:46:19,200 --> 00:46:22,480 Speaker 9: exactly what has happened, and it's led to an extreme 842 00:46:23,160 --> 00:46:26,439 Speaker 9: culture shift inside the Department of Defense from the top 843 00:46:26,480 --> 00:46:29,520 Speaker 9: all the way down to the bottom, from you know, 844 00:46:29,560 --> 00:46:33,200 Speaker 9: the ear ring of the Pentagon to the service the 845 00:46:33,239 --> 00:46:39,200 Speaker 9: military service academies and have really shifted from being a 846 00:46:39,360 --> 00:46:45,279 Speaker 9: mission driven, mission purpose oriented organization to one that has 847 00:46:45,440 --> 00:46:52,200 Speaker 9: shifted their focus to identity politics, to diversity inclusion, you know, 848 00:46:52,360 --> 00:46:56,520 Speaker 9: climate change extremism, gender ideology. 849 00:46:57,120 --> 00:46:57,400 Speaker 4: Uh. 850 00:46:57,520 --> 00:46:59,960 Speaker 9: And it's really taken a toll, as we have seen 851 00:47:00,239 --> 00:47:04,680 Speaker 9: in the recruitment numbers, the retention crisis, and morale throughout 852 00:47:05,160 --> 00:47:07,120 Speaker 9: the service members. 853 00:47:07,360 --> 00:47:10,760 Speaker 2: Amber when you see, and I'm with Buck here, sometimes 854 00:47:10,800 --> 00:47:13,320 Speaker 2: I see things associated with the military and I feel 855 00:47:13,320 --> 00:47:16,279 Speaker 2: like I'm being pranked. When I see, for instance, that 856 00:47:16,360 --> 00:47:19,760 Speaker 2: we have a trans admiral that we're supposed to pretend 857 00:47:19,880 --> 00:47:22,360 Speaker 2: is actually a woman when it's clearly just a dude 858 00:47:22,440 --> 00:47:23,160 Speaker 2: dressed up. 859 00:47:23,040 --> 00:47:24,120 Speaker 1: Like a woman. 860 00:47:24,920 --> 00:47:28,359 Speaker 2: Doesn't that have a major impact in terms of I 861 00:47:28,400 --> 00:47:30,879 Speaker 2: want badasses who want to serve in the military, people 862 00:47:30,880 --> 00:47:33,160 Speaker 2: who want to kick ass. When I see a dude 863 00:47:33,160 --> 00:47:35,680 Speaker 2: pretending to be a woman, it doesn't make me think, 864 00:47:35,800 --> 00:47:37,600 Speaker 2: oh my goodness, I feel so much safer. 865 00:47:37,680 --> 00:47:39,240 Speaker 1: I want to go sign up with these people. 866 00:47:40,880 --> 00:47:46,800 Speaker 9: Exactly. It has very serious consequences. You know, China's watching Russia, Iran, 867 00:47:46,920 --> 00:47:49,680 Speaker 9: North Korea. They are all paying attention to what is 868 00:47:49,760 --> 00:47:53,880 Speaker 9: going on inside our military, and it just projects some 869 00:47:54,080 --> 00:47:57,759 Speaker 9: serious weakness. All of our adversaries are not focused on 870 00:47:57,960 --> 00:48:02,759 Speaker 9: ensuring that they're troops, are focused on proper pronouns and 871 00:48:03,400 --> 00:48:05,880 Speaker 9: men being allowed to wear finger polish or if the 872 00:48:05,920 --> 00:48:10,680 Speaker 9: word mohawk is offensive. They are focused on which our military, 873 00:48:10,719 --> 00:48:11,920 Speaker 9: by the way, is focused on. 874 00:48:12,040 --> 00:48:12,279 Speaker 7: Now. 875 00:48:13,320 --> 00:48:18,000 Speaker 9: Our adversaries are focused on how they can fight and 876 00:48:18,040 --> 00:48:20,799 Speaker 9: destroy their enemy, which happens to be us. So every 877 00:48:20,840 --> 00:48:24,120 Speaker 9: single day they are training and getting stronger in order 878 00:48:24,160 --> 00:48:27,200 Speaker 9: to defeat their enemy. And that's what our military used 879 00:48:27,200 --> 00:48:30,440 Speaker 9: to be about. Sadly, because of woke leaderships both in 880 00:48:30,440 --> 00:48:33,920 Speaker 9: the Biden administration and inside the Department of Defense, they 881 00:48:33,960 --> 00:48:37,080 Speaker 9: have shifted that priority, the one that I served in 882 00:48:37,160 --> 00:48:40,440 Speaker 9: that I loved, where we trained every day to ensure 883 00:48:40,440 --> 00:48:44,160 Speaker 9: that we have the skills, equipment, training necessary to accomplish 884 00:48:44,200 --> 00:48:47,560 Speaker 9: the mission. We're not seeing that in today's military, and 885 00:48:47,600 --> 00:48:50,840 Speaker 9: it has some very serious and dangerous consequences when it 886 00:48:50,880 --> 00:48:52,959 Speaker 9: comes to our national security and the threat speed, faith, 887 00:48:53,360 --> 00:48:56,440 Speaker 9: and the viability and sustainability of the all volunteer force 888 00:48:56,480 --> 00:48:59,240 Speaker 9: that we have had since the end of the Vietnam 889 00:48:59,280 --> 00:49:00,680 Speaker 9: War Hamber. 890 00:49:01,360 --> 00:49:03,839 Speaker 1: First off, everyone can check out the book Unfit to Fight. 891 00:49:03,960 --> 00:49:07,040 Speaker 1: How woke policies are destroying our military. Amber Smith is 892 00:49:07,040 --> 00:49:09,520 Speaker 1: the author. For everyone out there. We got a lot 893 00:49:09,560 --> 00:49:12,040 Speaker 1: of military current and former, so we have a lot 894 00:49:12,040 --> 00:49:14,160 Speaker 1: of veterans, a lot of active duty military to listen 895 00:49:14,200 --> 00:49:17,080 Speaker 1: to the show. But you know that's a portion of 896 00:49:17,120 --> 00:49:18,960 Speaker 1: the audience, a lot of other people they are not 897 00:49:20,239 --> 00:49:24,000 Speaker 1: specifically personally familiar with military operations. What was it like 898 00:49:24,040 --> 00:49:25,160 Speaker 1: being a Kiwa pilot? 899 00:49:26,880 --> 00:49:30,080 Speaker 9: It was awesome. It was the coolest job I've ever 900 00:49:30,160 --> 00:49:34,000 Speaker 9: had and probably ever will have. It was like driving 901 00:49:34,000 --> 00:49:37,400 Speaker 9: a race car in the sky and that was just 902 00:49:37,680 --> 00:49:41,200 Speaker 9: you know, wiggling the stix. Flying the helicopter portion of it. 903 00:49:41,200 --> 00:49:45,000 Speaker 9: It's our mission that made it absolutely incredible. Purpose driven 904 00:49:45,520 --> 00:49:48,600 Speaker 9: we Kia was a light attack reconnaissance helicopter. It has 905 00:49:48,600 --> 00:49:51,840 Speaker 9: a fifty cal machine gun, seven high explosive rockets. We 906 00:49:51,880 --> 00:49:55,480 Speaker 9: can be configured to carry four health fire missiles. But 907 00:49:55,520 --> 00:49:58,359 Speaker 9: we fly extremely low level, so sometimes you know, fifty 908 00:49:58,480 --> 00:50:02,160 Speaker 9: hundred feet off the ground, and we work very closely 909 00:50:02,239 --> 00:50:07,600 Speaker 9: with any friendly ground force, so the infantry, Special operations, 910 00:50:08,000 --> 00:50:12,040 Speaker 9: NATO forces, in country forces like Afghan military, Iraq military, 911 00:50:13,040 --> 00:50:15,480 Speaker 9: stuff like that, and we hunt for ibs, We do 912 00:50:15,520 --> 00:50:20,880 Speaker 9: convoy securities, but one of our biggest missions is to 913 00:50:20,920 --> 00:50:23,759 Speaker 9: say the ground force isn't a firefight. They call in 914 00:50:24,120 --> 00:50:26,959 Speaker 9: us our helicopters and we come in and take out 915 00:50:27,160 --> 00:50:32,960 Speaker 9: enemy targets. So it was an incredible experience. I absolutely 916 00:50:33,000 --> 00:50:37,880 Speaker 9: loved flying that aircraft. It was sort of the aircraft 917 00:50:38,040 --> 00:50:43,400 Speaker 9: that was extremely effective on the battlefield that many people 918 00:50:43,440 --> 00:50:45,960 Speaker 9: didn't know about until these two wars kicked off. The 919 00:50:46,000 --> 00:50:47,240 Speaker 9: post Lanine eleven wars. 920 00:50:47,560 --> 00:50:49,759 Speaker 2: Amber you talked about it being like flying a race 921 00:50:49,840 --> 00:50:52,120 Speaker 2: car in the sky. That makes me think that you 922 00:50:52,200 --> 00:50:55,120 Speaker 2: probably like to drive fast. How difficult is it to 923 00:50:55,160 --> 00:50:57,480 Speaker 2: go like forty miles an hour when you've been flying 924 00:50:57,960 --> 00:51:02,720 Speaker 2: a helicopter at at insane rates of speech speed closely 925 00:51:02,760 --> 00:51:03,480 Speaker 2: above the ground. 926 00:51:05,480 --> 00:51:09,160 Speaker 9: It's not driving is not as fun as when you 927 00:51:09,160 --> 00:51:10,960 Speaker 9: get to do it, you know, just a little bit 928 00:51:11,000 --> 00:51:14,919 Speaker 9: off the ground. We had so much fun. It was it. 929 00:51:14,960 --> 00:51:18,360 Speaker 9: But flying a helicopter is like just it kind of 930 00:51:18,480 --> 00:51:22,440 Speaker 9: is exhausting because you are doing so much, like with like, 931 00:51:22,600 --> 00:51:25,160 Speaker 9: so much coordination goes into it. You're listening to five 932 00:51:25,280 --> 00:51:28,840 Speaker 9: radios at the exact same time. You have the navigation systems, 933 00:51:28,840 --> 00:51:32,160 Speaker 9: the weapon systems, the helicopter flight control systems, and you 934 00:51:32,200 --> 00:51:35,719 Speaker 9: have to worry about whether hazards. We fly low enough 935 00:51:35,719 --> 00:51:39,920 Speaker 9: that you need to watch out for, like telephone poles 936 00:51:40,040 --> 00:51:44,120 Speaker 9: or you know, like power lines, cell phone towers, that 937 00:51:44,160 --> 00:51:46,759 Speaker 9: type of stuff. So there's a lot going to it. 938 00:51:46,800 --> 00:51:48,920 Speaker 9: So comparing that to a car, like a car is 939 00:51:49,040 --> 00:51:50,839 Speaker 9: just it's just easy. 940 00:51:50,880 --> 00:51:53,520 Speaker 2: I'm just sinking it hit you regularly, speed all over 941 00:51:53,520 --> 00:51:55,120 Speaker 2: the place, is what I was getting at. I can't 942 00:51:55,160 --> 00:51:57,000 Speaker 2: imagine that. You're like, oh, I'm going to go thirty 943 00:51:57,000 --> 00:52:00,480 Speaker 2: five of officials. She's very, very low, by very law. 944 00:52:00,560 --> 00:52:05,799 Speaker 2: By your your husband. Your husband, isn't he a fixed 945 00:52:05,840 --> 00:52:06,840 Speaker 2: wing fighter pilot? 946 00:52:08,360 --> 00:52:09,840 Speaker 9: He is a helicopter pilot. 947 00:52:09,960 --> 00:52:12,960 Speaker 1: Oh he's also rotary. Oh we got I was gonna say, 948 00:52:12,960 --> 00:52:15,800 Speaker 1: what's it? Sorry? I thought he was a fixed wing guy. 949 00:52:15,960 --> 00:52:17,759 Speaker 1: What is the difference? So you guys kept it all 950 00:52:17,760 --> 00:52:20,960 Speaker 1: in the family. There the difference in personality, and you 951 00:52:21,040 --> 00:52:22,840 Speaker 1: might start a little fight among the service here. So 952 00:52:22,840 --> 00:52:25,760 Speaker 1: I'm trying to stir the pot difference in personality between 953 00:52:25,800 --> 00:52:30,560 Speaker 1: a rotary wing fighter and a and a fixed wing 954 00:52:30,719 --> 00:52:31,400 Speaker 1: fighter pilot. 955 00:52:32,640 --> 00:52:34,640 Speaker 9: Oh you know, how do you know when a fire 956 00:52:34,719 --> 00:52:38,120 Speaker 9: fighter walks into a bars? I'll tell you I think 957 00:52:38,160 --> 00:52:40,560 Speaker 9: that's I think that's probably the difference. 958 00:52:41,760 --> 00:52:43,480 Speaker 1: I'm gonna tell I'm gonna tell my father in law 959 00:52:43,520 --> 00:52:45,319 Speaker 1: that the F eighteen pilot. This is gonna be fun. 960 00:52:45,520 --> 00:52:48,840 Speaker 1: Start some stuff. Everybody go, it's an it's an important 961 00:52:48,880 --> 00:52:50,520 Speaker 1: We're having some fun with you, but it's it's an 962 00:52:50,520 --> 00:52:53,120 Speaker 1: important book here. I want people to go check it out. Please, 963 00:52:53,200 --> 00:52:57,160 Speaker 1: so unfit to fight? How woke policies are destoring our military? 964 00:52:57,840 --> 00:53:00,680 Speaker 1: Our friend veteran Amber Smith, Amber, thank you so much, 965 00:53:00,719 --> 00:53:02,360 Speaker 1: good luck with the book, and we'll talk to you 966 00:53:02,400 --> 00:53:02,879 Speaker 1: again soon. 967 00:53:03,640 --> 00:53:04,239 Speaker 9: Appreciate it. 968 00:53:04,280 --> 00:53:05,840 Speaker 1: Thanks Buck absolutely. 969 00:53:06,840 --> 00:53:09,320 Speaker 2: Look, we were just talking earlier in the show about 970 00:53:09,320 --> 00:53:13,120 Speaker 2: the four Charlotte police and first responders who lost their 971 00:53:13,200 --> 00:53:16,200 Speaker 2: lives yesterday. That's what Tunnel the Towers does now. They 972 00:53:16,239 --> 00:53:19,279 Speaker 2: take care of so many first responders, police, military, you 973 00:53:19,360 --> 00:53:22,800 Speaker 2: just heard Amber talking, who give their lives to protect 974 00:53:22,880 --> 00:53:27,160 Speaker 2: all of us and the Tunnel the Towers Foundation as well. 975 00:53:27,320 --> 00:53:30,279 Speaker 2: They do incredible work. They pay the mortgage off the 976 00:53:30,320 --> 00:53:34,799 Speaker 2: family homes and lift the financial burden of the spouses 977 00:53:34,880 --> 00:53:39,480 Speaker 2: and children left behind. For severely injured veterans and first responders, 978 00:53:39,520 --> 00:53:43,560 Speaker 2: they'll also help build mortgage free smart homes. They're working 979 00:53:43,640 --> 00:53:46,960 Speaker 2: right now, Frank Siller is to bring so many homeless 980 00:53:47,040 --> 00:53:50,520 Speaker 2: veterans in off the streets. Last year, thirty three hundred 981 00:53:50,640 --> 00:53:53,239 Speaker 2: helped alone. These are the men and women who put 982 00:53:53,280 --> 00:53:56,160 Speaker 2: their lives on the line for our country and our communities, 983 00:53:56,239 --> 00:53:58,319 Speaker 2: and they need your help now more than ever. Buck 984 00:53:58,360 --> 00:54:01,360 Speaker 2: and I with Crockett Coffee are helping to make donations 985 00:54:01,360 --> 00:54:05,960 Speaker 2: to make a tremendous difference for hopefully their ability to 986 00:54:06,000 --> 00:54:07,759 Speaker 2: take care of as many people as possible. But you 987 00:54:07,880 --> 00:54:11,400 Speaker 2: guys are the engine that drives their mission, and you 988 00:54:11,440 --> 00:54:14,040 Speaker 2: can join Tunnel the Towers on their mission to do 989 00:54:14,160 --> 00:54:17,200 Speaker 2: good and never forget nine to eleven or the sacrifices 990 00:54:17,239 --> 00:54:21,200 Speaker 2: of this country's heroes. Join us in donating eleven dollars 991 00:54:21,239 --> 00:54:24,759 Speaker 2: a month at t twot dot org. That's t the 992 00:54:24,880 --> 00:54:27,120 Speaker 2: number two t dot org 993 00:54:27,760 --> 00:54:32,480 Speaker 5: Twenty four Clay and Bucks Weekly Campaign cliff Notes episodes 994 00:54:32,560 --> 00:54:35,920 Speaker 5: dropped Sundays at noon Eastern on the free iHeartRadio app, 995 00:54:36,000 --> 00:54:38,000 Speaker 5: or wherever you get your podcasts.