1 00:00:00,160 --> 00:00:03,360 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,400 --> 00:00:08,039 Speaker 1: Sexton Show podcast. Welcome in Klay Travis buck Sexton Show. 3 00:00:08,119 --> 00:00:11,680 Speaker 1: We hope all of you are having fantastic Thursdays. We 4 00:00:11,760 --> 00:00:14,640 Speaker 1: have got a lot to discuss, as we always do 5 00:00:14,800 --> 00:00:17,919 Speaker 1: with all of you. We're going to dive into the 6 00:00:17,960 --> 00:00:22,400 Speaker 1: Trump vice presidential discussion on Laura Ingram. He named several 7 00:00:22,440 --> 00:00:26,000 Speaker 1: people that he is considering. Does it matter, what might 8 00:00:26,120 --> 00:00:29,160 Speaker 1: the impact be? As we said here two days from 9 00:00:29,640 --> 00:00:30,640 Speaker 1: South Carolina. 10 00:00:30,720 --> 00:00:33,559 Speaker 2: Will also give you some updates on what's. 11 00:00:33,360 --> 00:00:37,520 Speaker 1: Going on in the primary down in South Carolina. As 12 00:00:38,040 --> 00:00:41,120 Speaker 1: I think, frankly South Carolinians are prepared to tell Nicky 13 00:00:41,159 --> 00:00:43,960 Speaker 1: Haley this is not your time. Trump is going to 14 00:00:44,000 --> 00:00:47,000 Speaker 1: be the nominee. We'll talk some about the idea of 15 00:00:47,200 --> 00:00:51,120 Speaker 1: the seizure of Trump assets, including his buildings, which is 16 00:00:51,159 --> 00:00:56,280 Speaker 1: now being discussed by Letitia James, the age who ran 17 00:00:56,440 --> 00:00:58,400 Speaker 1: on the idea that she was going to get Trump 18 00:00:58,440 --> 00:01:00,520 Speaker 1: no matter what, and guess what found way to try 19 00:01:00,560 --> 00:01:03,720 Speaker 1: to get Trump no matter what. But Buck, I want 20 00:01:03,720 --> 00:01:06,880 Speaker 1: to start with a story that for some of you 21 00:01:07,080 --> 00:01:10,800 Speaker 1: out there may not be on the top of your radar, 22 00:01:11,360 --> 00:01:14,360 Speaker 1: and you may not be thinking about what the impact 23 00:01:14,560 --> 00:01:18,200 Speaker 1: of this may be. But as we come into twenty 24 00:01:18,280 --> 00:01:23,160 Speaker 1: twenty four, and I bet your kids and grandkids become 25 00:01:23,280 --> 00:01:26,959 Speaker 1: more and more active and experiencing it online, I want 26 00:01:27,000 --> 00:01:31,080 Speaker 1: to talk about what's going on with a AI, artificial intelligence, 27 00:01:31,640 --> 00:01:35,160 Speaker 1: the growth that we are seeing there and the degree, Buck, 28 00:01:35,240 --> 00:01:39,080 Speaker 1: to me, of what I am seeing is just a 29 00:01:41,840 --> 00:01:45,000 Speaker 1: sort of a recapitulation of all of the flaws that 30 00:01:45,120 --> 00:01:49,800 Speaker 1: existed in social media now being created and impacted in 31 00:01:49,960 --> 00:01:54,000 Speaker 1: AI in the same way that every social media site, 32 00:01:54,040 --> 00:01:57,800 Speaker 1: whether it's Facebook, Instagram, Twitter, on some way designs an 33 00:01:57,880 --> 00:02:02,040 Speaker 1: algorithm by a human that determines what you do and do. 34 00:02:02,080 --> 00:02:03,880 Speaker 2: Not see AI. 35 00:02:04,200 --> 00:02:08,160 Speaker 1: There's a scary, ridiculous, somewhat maybe a little bit funny, 36 00:02:07,960 --> 00:02:12,720 Speaker 1: but also terrifying story of what's going on with Google's 37 00:02:12,800 --> 00:02:16,160 Speaker 1: AI service. Buck, and I know we were talking about 38 00:02:16,200 --> 00:02:19,160 Speaker 1: this off air, so I know you've seen it too. Basically, 39 00:02:19,200 --> 00:02:23,040 Speaker 1: they designed it so there's no way that you can 40 00:02:23,080 --> 00:02:26,239 Speaker 1: get an image of a white person, no matter what 41 00:02:26,320 --> 00:02:29,360 Speaker 1: your prompt of request is. And for those of you 42 00:02:29,440 --> 00:02:32,200 Speaker 1: out there who are not familiar with AI at all, 43 00:02:32,840 --> 00:02:35,280 Speaker 1: trying to explain it in just a couple of sentences, 44 00:02:35,720 --> 00:02:40,920 Speaker 1: it's a video or image based version of search also 45 00:02:42,080 --> 00:02:45,480 Speaker 1: very strong textually, but it's moving more and more into 46 00:02:47,120 --> 00:02:50,520 Speaker 1: imagery and videos, and the idea is basically you give 47 00:02:50,560 --> 00:02:53,760 Speaker 1: it a prompt. For instance, with Google, where they were 48 00:02:53,880 --> 00:02:56,960 Speaker 1: using this and being able to expose its flaws, it 49 00:02:57,080 --> 00:03:01,000 Speaker 1: was saying, hey, Google, give me a picture of the pope, 50 00:03:01,120 --> 00:03:05,880 Speaker 1: and the pope pictures that AI were returning were all 51 00:03:05,880 --> 00:03:10,840 Speaker 1: minority figures. If you asked for a Viking, a picture 52 00:03:10,960 --> 00:03:14,200 Speaker 1: of a Viking, the people that you were getting back 53 00:03:14,600 --> 00:03:18,639 Speaker 1: were black Vikings, obviously, who did not exist. If you 54 00:03:18,840 --> 00:03:22,560 Speaker 1: asked for pictures of the Founding Fathers, they were giving 55 00:03:22,560 --> 00:03:26,239 Speaker 1: you pictures back of some black people sitting at the 56 00:03:26,280 --> 00:03:29,840 Speaker 1: table with the Founding fathers. And I would guess buck 57 00:03:30,280 --> 00:03:36,120 Speaker 1: that the intent here is to avoid being racist. And 58 00:03:36,360 --> 00:03:40,280 Speaker 1: they wrote in code which basically made it impossible for 59 00:03:40,400 --> 00:03:44,800 Speaker 1: a white person to be revealed when it was making 60 00:03:45,080 --> 00:03:48,400 Speaker 1: When you were getting these prompts to me, that's maybe 61 00:03:48,440 --> 00:03:53,120 Speaker 1: somewhat a little funny, also scary, but to a larger 62 00:03:53,200 --> 00:03:58,720 Speaker 1: context when you know that kids growing up today are 63 00:03:58,800 --> 00:04:02,640 Speaker 1: going to be using this as a default Google search 64 00:04:03,160 --> 00:04:05,800 Speaker 1: instead of the way Google works now you type in 65 00:04:06,840 --> 00:04:09,640 Speaker 1: you know, hotel on South Beach or something, and you 66 00:04:09,640 --> 00:04:12,240 Speaker 1: get a bunch of different hotels that would show up 67 00:04:12,280 --> 00:04:14,640 Speaker 1: as the link, or you type in you know who 68 00:04:14,720 --> 00:04:17,479 Speaker 1: was the eighth President of the United States, and you 69 00:04:17,520 --> 00:04:19,919 Speaker 1: get a prompt that allows you to go click on links. 70 00:04:20,440 --> 00:04:24,640 Speaker 1: You're not actually going and reading and discovering the information 71 00:04:24,760 --> 00:04:25,680 Speaker 1: from your request. 72 00:04:26,080 --> 00:04:27,440 Speaker 2: It's being given to you. 73 00:04:28,000 --> 00:04:32,600 Speaker 1: Search is being created more powerfully than maybe it ever 74 00:04:32,680 --> 00:04:37,520 Speaker 1: has been before, and it's making these algorithms even more powerful, 75 00:04:37,800 --> 00:04:40,560 Speaker 1: and so as a result, they are now stopping the 76 00:04:40,800 --> 00:04:43,600 Speaker 1: Google search buck on AI. 77 00:04:44,400 --> 00:04:45,200 Speaker 2: But are you. 78 00:04:45,320 --> 00:04:47,159 Speaker 1: Troubled by this because I think it could be a 79 00:04:47,279 --> 00:04:51,680 Speaker 1: huge story for twenty twenty four and all of these 80 00:04:51,720 --> 00:04:56,760 Speaker 1: AI woke ified. I would say algorithms are going to 81 00:04:56,920 --> 00:05:01,040 Speaker 1: artificially distort the real reality in a similar way that 82 00:05:01,120 --> 00:05:05,800 Speaker 1: I think we have seen with social media, and I 83 00:05:05,839 --> 00:05:07,920 Speaker 1: think that's gonna be the challenge. 84 00:05:08,680 --> 00:05:12,120 Speaker 3: Yeah, what they're saying about this is that it's an 85 00:05:12,160 --> 00:05:16,120 Speaker 3: over correction, right. They're saying that they were trying to 86 00:05:16,120 --> 00:05:21,159 Speaker 3: make sure that racist things didn't happen, and so they 87 00:05:21,160 --> 00:05:22,880 Speaker 3: made it so that there are no you're not getting 88 00:05:22,920 --> 00:05:23,599 Speaker 3: any images of. 89 00:05:23,600 --> 00:05:24,719 Speaker 2: Anyone who is white. 90 00:05:24,839 --> 00:05:28,080 Speaker 3: But this also is occurring in a broader context. Right, 91 00:05:28,120 --> 00:05:31,200 Speaker 3: there's something else that's going on here. I mean I 92 00:05:31,240 --> 00:05:35,360 Speaker 3: think everyone has has seen now, particularly the last few years, 93 00:05:35,400 --> 00:05:38,760 Speaker 3: but it stretches back for about a decade that diversity 94 00:05:38,839 --> 00:05:42,760 Speaker 3: inclusion is effectively a religious belief that people feel there 95 00:05:42,839 --> 00:05:47,080 Speaker 3: is a need to fill our society, our history, everything 96 00:05:47,560 --> 00:05:52,600 Speaker 3: with the tenets of diversity and inclusion, especially anything that 97 00:05:52,640 --> 00:05:56,640 Speaker 3: has to do with with pop culture. I mentioned before 98 00:05:56,800 --> 00:05:59,960 Speaker 3: on this show I watch you know, I like anything 99 00:06:00,120 --> 00:06:02,000 Speaker 3: has Vikings in it. And I should note that there 100 00:06:02,040 --> 00:06:06,360 Speaker 3: were there were some people that did a Viking search 101 00:06:06,400 --> 00:06:10,960 Speaker 3: and sure enough the vikings were, you know, people of dark, 102 00:06:11,080 --> 00:06:15,200 Speaker 3: dark skin, and and that's a bit unusual, right, I mean, 103 00:06:15,320 --> 00:06:21,240 Speaker 3: historically that would not be accurate. And the reality here 104 00:06:21,360 --> 00:06:25,480 Speaker 3: is when they were doing the Netflix show, when they 105 00:06:25,480 --> 00:06:29,560 Speaker 3: were trying to get people interested in I guess the 106 00:06:29,600 --> 00:06:32,240 Speaker 3: beginnings of I think it's Viking, I forget what the 107 00:06:32,279 --> 00:06:35,919 Speaker 3: full title, It's Viking something or other Clay. They cast 108 00:06:36,040 --> 00:06:41,720 Speaker 3: a black woman as a tenth century Viking yaarl or 109 00:06:41,839 --> 00:06:45,159 Speaker 3: kind of like an earl or a king who really existed. 110 00:06:45,880 --> 00:06:48,920 Speaker 3: So this stuff is already happening, meaning that there's the 111 00:06:48,960 --> 00:06:53,520 Speaker 3: rewriting of history and pop culture with people who are 112 00:06:54,360 --> 00:06:59,000 Speaker 3: being depicted as non white. And it's in that context 113 00:06:59,000 --> 00:07:02,240 Speaker 3: that when you have an AI machine that is doing this, 114 00:07:02,440 --> 00:07:05,320 Speaker 3: everyone starts to feel like, is it I mean, okay, 115 00:07:05,480 --> 00:07:07,479 Speaker 3: this went too far, but is it really a mistake? 116 00:07:07,800 --> 00:07:10,920 Speaker 3: Is diversity and meaning from their end, is diversity and 117 00:07:11,000 --> 00:07:14,320 Speaker 3: inclusion a part of the algorithm, such that they're going 118 00:07:14,360 --> 00:07:18,840 Speaker 3: to try to create more inclusiveness throughout history, and they're 119 00:07:18,840 --> 00:07:21,040 Speaker 3: going to try to elevate some things. The whole notion 120 00:07:21,160 --> 00:07:24,040 Speaker 3: of a neutral algorithm from the beginning, really the earliest 121 00:07:24,080 --> 00:07:27,160 Speaker 3: days of Google, is really a fiction, just like editorial 122 00:07:27,240 --> 00:07:30,080 Speaker 3: lines a newspapers, being neutral is a fiction. And I 123 00:07:30,120 --> 00:07:32,360 Speaker 3: think this goes toward everyone understanding that better. 124 00:07:33,040 --> 00:07:35,760 Speaker 1: Yeah, And I would say this is a natural outgrowth 125 00:07:35,800 --> 00:07:39,800 Speaker 1: of Hamilton, which decided, hey, we're going to put minority 126 00:07:39,880 --> 00:07:43,120 Speaker 1: characters into the role of historical characters, which then was 127 00:07:43,160 --> 00:07:45,760 Speaker 1: followed by what is the show Bridgerton that they make 128 00:07:45,840 --> 00:07:48,680 Speaker 1: such a big deal about, Hey, this is a story 129 00:07:48,720 --> 00:07:53,400 Speaker 1: about eighteenth century England, but the race of the characters 130 00:07:53,480 --> 00:07:57,080 Speaker 1: really doesn't matter at all, which is a form of 131 00:07:57,120 --> 00:07:59,120 Speaker 1: color blindness which you're not supposed to do, which is 132 00:07:59,160 --> 00:08:01,720 Speaker 1: its own interesting. Stele we've talked about on this show 133 00:08:01,760 --> 00:08:04,880 Speaker 1: Buck Hannibal. I believe they're making a movie with Denzel 134 00:08:05,000 --> 00:08:09,400 Speaker 1: Washington playing Hannibal, which is not accurately reflected obviously of 135 00:08:09,480 --> 00:08:12,360 Speaker 1: what his skin color would have been so Leopatra. I 136 00:08:12,400 --> 00:08:15,440 Speaker 1: think they just did recently and it did horrible. It 137 00:08:15,480 --> 00:08:17,280 Speaker 1: did horribly on Netflix. No one want to watch it. 138 00:08:17,320 --> 00:08:20,200 Speaker 1: I would just add my issue with look. You and 139 00:08:20,240 --> 00:08:22,280 Speaker 1: I both love Denzel Washington as an actor. 140 00:08:23,040 --> 00:08:26,240 Speaker 3: I think he's one of the best living actors today 141 00:08:26,320 --> 00:08:28,280 Speaker 3: and with one of the most impressive bodies of work, 142 00:08:28,480 --> 00:08:30,360 Speaker 3: I think he may be a fantastic Hannibal. 143 00:08:30,720 --> 00:08:32,240 Speaker 2: I actually don't really have an issue with it. 144 00:08:32,400 --> 00:08:36,080 Speaker 3: My issue is I want people to at least understand 145 00:08:36,440 --> 00:08:40,360 Speaker 3: or want people to be taught that Carthage those the 146 00:08:40,440 --> 00:08:43,400 Speaker 3: Carthaginians were not North Africans in the way we think 147 00:08:43,440 --> 00:08:46,520 Speaker 3: of them now, which would be predominantly Arab sort of 148 00:08:46,720 --> 00:08:49,560 Speaker 3: olive skinned Muslim, right, I mean, or you know, tan 149 00:08:50,400 --> 00:08:51,480 Speaker 3: complexion Muslims. 150 00:08:52,800 --> 00:08:54,439 Speaker 2: They were white. They were Greeks. 151 00:08:54,440 --> 00:08:57,200 Speaker 3: Effectively, they would have looked very much like the Greeks looked, 152 00:08:57,280 --> 00:08:59,720 Speaker 3: or like the Romans looked. And as long as people 153 00:08:59,760 --> 00:09:02,040 Speaker 3: under stand that history, I have less of it, but 154 00:09:02,280 --> 00:09:03,280 Speaker 3: very few people do. 155 00:09:03,800 --> 00:09:06,120 Speaker 2: And so when you start introducing these things into. 156 00:09:05,960 --> 00:09:10,320 Speaker 3: The popular culture, it erases the historical reality. And I 157 00:09:10,360 --> 00:09:12,600 Speaker 3: think some of that is intentional. And I was somebody 158 00:09:12,640 --> 00:09:15,840 Speaker 3: who said early on, I think Hamilton is a very 159 00:09:16,480 --> 00:09:19,320 Speaker 3: honestly kind of a strange premise in a lot of ways. 160 00:09:19,360 --> 00:09:21,280 Speaker 3: To keep in mind, the only white person in it 161 00:09:21,320 --> 00:09:23,240 Speaker 3: is the King of England, who's terrible, right, who's like 162 00:09:23,280 --> 00:09:25,760 Speaker 3: the bad guy, which I think if you did that 163 00:09:25,800 --> 00:09:28,600 Speaker 3: in any other context, people would recognize that's that make 164 00:09:28,640 --> 00:09:30,800 Speaker 3: them feel a little bit uncomfortable. But I also just 165 00:09:30,840 --> 00:09:33,480 Speaker 3: thought it wasn't good. And what bothered me, and I 166 00:09:33,520 --> 00:09:35,200 Speaker 3: really knew that as a piece of art, I didn't 167 00:09:35,200 --> 00:09:37,439 Speaker 3: think it was good. And what bothered me was I 168 00:09:37,480 --> 00:09:40,960 Speaker 3: actually thought it was crap, but that you were supposed 169 00:09:41,000 --> 00:09:42,600 Speaker 3: to say it was good. Like if you didn't say 170 00:09:42,640 --> 00:09:45,120 Speaker 3: it was good, there was something wrong with you. That 171 00:09:45,160 --> 00:09:47,720 Speaker 3: felt very Soviet to me, right, it felt like everyone 172 00:09:47,760 --> 00:09:50,600 Speaker 3: has to stand and clap because Stalin likes the symphony. 173 00:09:51,480 --> 00:09:54,440 Speaker 1: I also would say I'm not aware, and I would 174 00:09:54,520 --> 00:09:57,880 Speaker 1: I would love if somebody did know this. Is there 175 00:09:57,920 --> 00:10:01,800 Speaker 1: any other country in the world that is obsessed with 176 00:10:02,200 --> 00:10:06,840 Speaker 1: making historical characters a different race than they would otherwise be. 177 00:10:07,640 --> 00:10:08,880 Speaker 2: In other words, if you're. 178 00:10:08,679 --> 00:10:11,800 Speaker 1: Making a movie in India right now, and you're doing 179 00:10:11,840 --> 00:10:15,760 Speaker 1: a story about Indian history, would there be any call 180 00:10:15,960 --> 00:10:18,880 Speaker 1: in what they call Bollywood to come back in and 181 00:10:19,000 --> 00:10:22,120 Speaker 1: cast someone who is historically Indian and a different race. 182 00:10:22,360 --> 00:10:27,800 Speaker 3: Well, you also get to play History is often very 183 00:10:28,200 --> 00:10:30,760 Speaker 3: non inclusive, right, I mean, if you're going to go 184 00:10:30,800 --> 00:10:35,920 Speaker 3: back in history and look for great female leadership two 185 00:10:35,960 --> 00:10:38,600 Speaker 3: thousand years ago, you can find it here and there, 186 00:10:38,720 --> 00:10:40,200 Speaker 3: but there's not going to be a lot of it. 187 00:10:40,280 --> 00:10:43,040 Speaker 1: Right Joan of Arc Cleopatra. I mean there's like two 188 00:10:43,160 --> 00:10:46,160 Speaker 1: or three characters, right, I've said fifteen hundred years ago. 189 00:10:46,160 --> 00:10:49,040 Speaker 1: But yeah, if you go back far enough, what you'll 190 00:10:49,040 --> 00:10:52,840 Speaker 1: find is that a lot of history is actually quite exclusionary. 191 00:10:52,920 --> 00:10:57,120 Speaker 1: You could even argue mankind was predatory against mankind and 192 00:10:57,600 --> 00:11:01,560 Speaker 1: there was no effort made aid to balance things out. 193 00:11:01,640 --> 00:11:04,600 Speaker 1: And so if you're looking at what actually happened, who 194 00:11:04,679 --> 00:11:09,360 Speaker 1: discovered stuff, who conquered stuff, who found stuff, it's not 195 00:11:09,559 --> 00:11:14,640 Speaker 1: going to be what the sociology department at Brown University 196 00:11:14,720 --> 00:11:17,160 Speaker 1: wants it to be. And that's a challenge that they're 197 00:11:17,160 --> 00:11:19,440 Speaker 1: always going to face, which is why I think there's 198 00:11:19,440 --> 00:11:24,200 Speaker 1: such an obsession with making, you know, a tenth century Viking. 199 00:11:23,960 --> 00:11:27,080 Speaker 3: Earl a black woman. There were no black women who 200 00:11:27,120 --> 00:11:32,439 Speaker 3: were tenth century Viking earls. Western civilization triumph, thankfully. It's 201 00:11:32,480 --> 00:11:36,520 Speaker 3: why we all have democracy, republics, freedom, freedom of speech. 202 00:11:36,679 --> 00:11:40,640 Speaker 3: All those things are good, good cultural appropriation. Here's a 203 00:11:40,760 --> 00:11:42,480 Speaker 3: kind of summing it up. And I'm open to your 204 00:11:42,480 --> 00:11:44,319 Speaker 3: calls because some of you out there probably are far 205 00:11:44,360 --> 00:11:48,000 Speaker 3: more sophisticated in terms of your AI knowledge than either 206 00:11:48,040 --> 00:11:50,800 Speaker 3: Buck or myself would be. On a scale of one 207 00:11:50,840 --> 00:11:54,640 Speaker 3: to ten, I'm about a nine on being concerned right 208 00:11:54,640 --> 00:11:57,960 Speaker 3: now based on what I'm seeing about what the impact 209 00:11:58,000 --> 00:12:00,640 Speaker 3: of these AI algorithms are going to be, because I 210 00:12:00,640 --> 00:12:03,560 Speaker 3: think we're finally catching up Buck with Twitter, where Elon 211 00:12:03,679 --> 00:12:07,240 Speaker 3: Musk is giving us some form of a free expression site, 212 00:12:07,280 --> 00:12:09,240 Speaker 3: and I think that can be very helpful. It took 213 00:12:09,240 --> 00:12:12,280 Speaker 3: a decade for that to happen on social media, fifteen years. 214 00:12:12,800 --> 00:12:14,840 Speaker 3: I don't know that there's going to be the equivalent 215 00:12:14,880 --> 00:12:17,280 Speaker 3: in AI. I hope I'm wrong, but it seems to 216 00:12:17,320 --> 00:12:20,080 Speaker 3: me like we're just creating new woker algorithms that could 217 00:12:20,080 --> 00:12:24,760 Speaker 3: be even more impactful. Absolutely, And when you're talking about AI, 218 00:12:25,120 --> 00:12:28,880 Speaker 3: you're not just talking about the editorial choice of what 219 00:12:28,960 --> 00:12:32,199 Speaker 3: to put up the page. You're talking about the ability 220 00:12:32,640 --> 00:12:40,240 Speaker 3: to fabricate primary source material, archival footage, archival photos, all 221 00:12:40,320 --> 00:12:43,400 Speaker 3: kinds of texts that would be you know, aged looking, 222 00:12:43,480 --> 00:12:48,120 Speaker 3: and AI can make it look real, right, So our 223 00:12:48,200 --> 00:12:52,680 Speaker 3: perception of the past. I don't think people should should 224 00:12:52,960 --> 00:12:55,960 Speaker 3: leave out the possibility here because I think it's very 225 00:12:56,040 --> 00:12:57,680 Speaker 3: real that there are people on the left who would 226 00:12:57,679 --> 00:13:03,760 Speaker 3: feel ideologically, they would feel righteous in doing their version. 227 00:13:03,760 --> 00:13:06,079 Speaker 3: If you know what the Soviets used to do when 228 00:13:06,120 --> 00:13:08,640 Speaker 3: they would eliminate something, they kept, you know, pretty detailed records. 229 00:13:09,040 --> 00:13:12,920 Speaker 3: Sometimes they would use a razor blade play to remove 230 00:13:12,960 --> 00:13:15,880 Speaker 3: the name from paper because they just figured, you know, 231 00:13:16,040 --> 00:13:18,240 Speaker 3: we're going to excize it that way, so it's like 232 00:13:18,280 --> 00:13:20,600 Speaker 3: it was never even there. Yeah, you know, there's still 233 00:13:20,600 --> 00:13:23,040 Speaker 3: a hole, right, but it doesn't matter. It's gone forever. 234 00:13:24,360 --> 00:13:26,760 Speaker 3: It feels very Soviet to me that they want to 235 00:13:26,800 --> 00:13:30,000 Speaker 3: try to change what our perception of history is because 236 00:13:30,040 --> 00:13:33,120 Speaker 3: they recognize that controlling the past gives you power over 237 00:13:33,200 --> 00:13:34,240 Speaker 3: the narrative of the present. 238 00:13:35,720 --> 00:13:38,720 Speaker 1: I think everybody out there should be terrified I'd be 239 00:13:38,720 --> 00:13:42,679 Speaker 1: interested in your calls. And again, so many kids. The 240 00:13:42,720 --> 00:13:45,840 Speaker 1: power of AI is they're going to blindly accept what 241 00:13:45,880 --> 00:13:48,720 Speaker 1: they are told. And that is scary no matter what 242 00:13:48,760 --> 00:13:50,680 Speaker 1: the concept is. But I think it's even more so 243 00:13:50,720 --> 00:13:53,520 Speaker 1: because at least Google buck gives you the opportunity. When 244 00:13:53,559 --> 00:13:55,719 Speaker 1: you do a Google search, you can scroll down. A 245 00:13:55,760 --> 00:13:57,959 Speaker 1: lot of people click on the first thing, whatever it is, 246 00:13:58,240 --> 00:13:59,960 Speaker 1: but you can scroll down and you can look at 247 00:14:00,080 --> 00:14:02,000 Speaker 1: the first seven or eight or even the first page 248 00:14:02,040 --> 00:14:03,960 Speaker 1: results and make a choice about the source that you 249 00:14:04,000 --> 00:14:04,480 Speaker 1: want to pick. 250 00:14:04,880 --> 00:14:08,640 Speaker 3: Not here, you know it would be a fascinating ven diagram. 251 00:14:09,080 --> 00:14:14,720 Speaker 3: People who enthusiastically masked up, people who had Ukraine flags 252 00:14:14,720 --> 00:14:19,040 Speaker 3: in their bio, and people who openly loved Hamilton would 253 00:14:19,040 --> 00:14:22,800 Speaker 3: have came. These are all people that do whatever the 254 00:14:22,840 --> 00:14:24,440 Speaker 3: machine tells them to do. 255 00:14:25,400 --> 00:14:26,840 Speaker 1: One thing as we go to break here in the 256 00:14:26,880 --> 00:14:29,920 Speaker 1: first segment, I want someone smart to do a country 257 00:14:29,960 --> 00:14:33,640 Speaker 1: and Western version of the Obama administration, and I want 258 00:14:33,640 --> 00:14:35,840 Speaker 1: them to have a white guy playing Obama and see 259 00:14:35,880 --> 00:14:39,120 Speaker 1: what the result is. Barack and Michelle Obama country and 260 00:14:39,200 --> 00:14:42,840 Speaker 1: Western version. I want white people playing Barack and Michelle 261 00:14:42,880 --> 00:14:47,000 Speaker 1: Obama in a country and Western version of their administration 262 00:14:47,320 --> 00:14:48,680 Speaker 1: and see what the reaction would be. 263 00:14:49,440 --> 00:14:51,880 Speaker 3: If you have valuables in your home, like gold or silver, 264 00:14:51,960 --> 00:14:54,880 Speaker 3: for instance, you definitely need a safe to protect them. Plus, 265 00:14:54,960 --> 00:14:57,640 Speaker 3: if you keep cash on hand, you have firearms you 266 00:14:57,640 --> 00:15:00,600 Speaker 3: need to keep safe. More than two million Americans have 267 00:15:00,680 --> 00:15:03,840 Speaker 3: chosen Liberty Save for this once in a lifetime purchase. 268 00:15:03,960 --> 00:15:05,760 Speaker 3: This is one that you want to get right because 269 00:15:05,760 --> 00:15:07,280 Speaker 3: once you get your safe in, you're not going to 270 00:15:07,360 --> 00:15:09,320 Speaker 3: want to move it right. 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That's just for members of this audience. 285 00:15:55,280 --> 00:15:58,120 Speaker 3: Use coupon code Radio when you get a Libertysafe dot 286 00:15:58,160 --> 00:16:02,720 Speaker 3: Com slash radio again, that's Libertysafe dot Com slash Radio 287 00:16:03,200 --> 00:16:05,360 Speaker 3: Code Radio Sleeve. 288 00:16:05,440 --> 00:16:09,600 Speaker 2: Travis and Buck Sexton on the front Lines of Truth. 289 00:16:09,920 --> 00:16:10,480 Speaker 2: Second Hour. 290 00:16:10,600 --> 00:16:13,480 Speaker 3: Clay and Buck kicks off right now. Thanks for being 291 00:16:13,520 --> 00:16:15,720 Speaker 3: here with us. Lines are open eight hundred and two 292 00:16:15,760 --> 00:16:19,400 Speaker 3: A two two eight A two. About to dive into 293 00:16:19,720 --> 00:16:23,960 Speaker 3: a couple of different topics. Biden on student get student 294 00:16:24,000 --> 00:16:27,200 Speaker 3: loan relief, basically socializing the debts of certain people to 295 00:16:27,200 --> 00:16:27,840 Speaker 3: buy votes. 296 00:16:28,000 --> 00:16:31,920 Speaker 2: Also, the Trump VP sweepstakes. 297 00:16:31,240 --> 00:16:37,360 Speaker 3: Continues, the cash cards, debit cards for illegals in New 298 00:16:37,440 --> 00:16:38,040 Speaker 3: York City. 299 00:16:39,000 --> 00:16:40,040 Speaker 2: We'll dive into all that. 300 00:16:40,920 --> 00:16:44,080 Speaker 3: And we just finished a discussion on Joe Biden's dog, 301 00:16:44,640 --> 00:16:47,840 Speaker 3: which has bitten twenty four times in the White House 302 00:16:47,840 --> 00:16:50,840 Speaker 3: twenty four times. German shepherd Oh, one of our listeners 303 00:16:50,840 --> 00:16:52,960 Speaker 3: text means said, hey, you said your dog trainer is great. 304 00:16:53,000 --> 00:16:56,120 Speaker 3: Our dog trainer's name is Tekla and her website is 305 00:16:56,240 --> 00:16:59,960 Speaker 3: University offdog dot com. She's phenomenal, phenomenal. 306 00:17:00,680 --> 00:17:05,880 Speaker 1: You I bet that website gets knocked offline. Now, I'm 307 00:17:05,880 --> 00:17:08,560 Speaker 1: just she's not a bad not a bad problem for 308 00:17:08,840 --> 00:17:12,359 Speaker 1: her to have necessarily. But I bet a lot of 309 00:17:12,440 --> 00:17:14,640 Speaker 1: times with advertisers on this show, the first time they 310 00:17:14,640 --> 00:17:18,520 Speaker 1: come on, we knock their site off. So I bet 311 00:17:18,560 --> 00:17:22,800 Speaker 1: the University offdog dot com is not usually Dela whatever. 312 00:17:22,840 --> 00:17:26,000 Speaker 1: The website's amazing. She does virtual virtual training. We sent 313 00:17:26,040 --> 00:17:28,359 Speaker 1: her videos because we love like Ginger. Those of you 314 00:17:28,400 --> 00:17:31,040 Speaker 1: who watch on the stream, playinbuck dot com, go sign 315 00:17:31,160 --> 00:17:34,760 Speaker 1: up for it. Uh you will see occasionally I'm bending 316 00:17:34,800 --> 00:17:36,919 Speaker 1: down and dealing with something. It's usually because Ginger is 317 00:17:37,320 --> 00:17:39,160 Speaker 1: pawing out my foot to play with her or something. 318 00:17:39,200 --> 00:17:42,359 Speaker 1: But she's so much better with us leaving her than 319 00:17:42,400 --> 00:17:45,399 Speaker 1: she used to be. She had terrible separation anxiety. Dogs 320 00:17:45,400 --> 00:17:48,200 Speaker 1: have separation anxiety from her owners like baby, like a baby. 321 00:17:47,920 --> 00:17:48,679 Speaker 2: That's left alone. 322 00:17:49,040 --> 00:17:51,560 Speaker 3: And Tekla got us to get that totally under control 323 00:17:51,600 --> 00:17:55,240 Speaker 3: of some ingenious training stuff. So it's University of Dog 324 00:17:55,280 --> 00:17:56,959 Speaker 3: dot com for her if you want to go do 325 00:17:57,000 --> 00:17:59,480 Speaker 3: that and just helping the dog owners out there. I'd 326 00:17:59,680 --> 00:18:02,560 Speaker 3: i'd never had a dog trainer before and now it's 327 00:18:02,600 --> 00:18:04,840 Speaker 3: like I would never not have a dog trainer as 328 00:18:04,880 --> 00:18:08,160 Speaker 3: somebody was a dog. All right, now let's dive into 329 00:18:09,960 --> 00:18:13,159 Speaker 3: the latest here with you want to do VP or 330 00:18:13,200 --> 00:18:14,760 Speaker 3: student loan debt first class? 331 00:18:15,080 --> 00:18:19,480 Speaker 2: Well, yes, yeah, okay, let's do let's do VP. 332 00:18:19,600 --> 00:18:22,959 Speaker 3: So so Trump was he was talking to Laura Ingram 333 00:18:22,960 --> 00:18:28,719 Speaker 3: about this and uh, he brought up the V or 334 00:18:28,720 --> 00:18:31,160 Speaker 3: she brought up the VP issue. And here's here's what 335 00:18:31,200 --> 00:18:33,760 Speaker 3: he said. Here's how he's thinking, at least about this 336 00:18:33,920 --> 00:18:37,960 Speaker 3: play fifteen. What qualities are you looking for in your 337 00:18:38,040 --> 00:18:39,160 Speaker 3: vice presidential pick? 338 00:18:39,240 --> 00:18:41,720 Speaker 4: Well, always, the first quality has to be somebody that 339 00:18:41,800 --> 00:18:43,840 Speaker 4: you think will be a good president, because if something 340 00:18:43,880 --> 00:18:45,960 Speaker 4: should happen, you have to have somebody that's going to 341 00:18:46,040 --> 00:18:48,200 Speaker 4: be a great president. A lot of people are talking 342 00:18:48,240 --> 00:18:53,480 Speaker 4: about that gentleman right over there. He's been so great, 343 00:18:53,560 --> 00:18:55,680 Speaker 4: he's been such a great advocate. I have to say, 344 00:18:55,680 --> 00:18:58,560 Speaker 4: I don't this is in a very positive way. Tim's gutt. 345 00:18:58,640 --> 00:19:00,439 Speaker 4: He has been much better for me than he was 346 00:19:00,480 --> 00:19:04,480 Speaker 4: for himself. I watched this campaign and he doesn't like 347 00:19:04,560 --> 00:19:06,440 Speaker 4: talking about himself, but boy. 348 00:19:06,200 --> 00:19:08,000 Speaker 2: Does he talk about Trump. And I said, you know, 349 00:19:08,080 --> 00:19:08,600 Speaker 2: I called him. 350 00:19:08,600 --> 00:19:10,280 Speaker 4: I said, Tim, you're better for me than you were 351 00:19:10,359 --> 00:19:14,959 Speaker 4: for yourself. But he's fantastic, and he's a fantastic person. 352 00:19:14,960 --> 00:19:17,119 Speaker 4: I want somebody who can step. 353 00:19:16,840 --> 00:19:19,560 Speaker 2: Into the role. Most importantly, have to view that. 354 00:19:21,119 --> 00:19:24,320 Speaker 3: Somebody who could step into the role at some level. Clay, 355 00:19:24,359 --> 00:19:26,600 Speaker 3: I think you could argue this is a lesson that 356 00:19:26,640 --> 00:19:29,360 Speaker 3: the Democrats learned. You can't think of the vice president 357 00:19:29,440 --> 00:19:34,320 Speaker 3: as just an kind of adjunct for the optics to 358 00:19:34,520 --> 00:19:35,160 Speaker 3: the president. 359 00:19:35,280 --> 00:19:35,440 Speaker 5: Right. 360 00:19:35,480 --> 00:19:37,400 Speaker 3: Oh, look, we've got a vice president who's a woman 361 00:19:37,440 --> 00:19:40,840 Speaker 3: and a minority, and therefore it's at more complete the 362 00:19:41,040 --> 00:19:44,720 Speaker 3: ticket for Democrats. It has to be if something happens, 363 00:19:44,920 --> 00:19:47,200 Speaker 3: this person can step in and do it. So that's 364 00:19:47,200 --> 00:19:49,160 Speaker 3: what he's saying, which is really the pro that has 365 00:19:49,160 --> 00:19:52,000 Speaker 3: always been support. I mean from the beginning the mission 366 00:19:52,040 --> 00:19:54,720 Speaker 3: of the VP. You saw the list. There were some 367 00:19:54,840 --> 00:19:57,760 Speaker 3: names on there that were mentioned and Trump said, yes, 368 00:19:57,760 --> 00:19:58,760 Speaker 3: they're all under consideration. 369 00:19:58,760 --> 00:20:00,200 Speaker 2: There's some names that weren't on there. 370 00:20:00,560 --> 00:20:02,879 Speaker 3: In your mind, is there a favorite right now? Is 371 00:20:02,880 --> 00:20:05,040 Speaker 3: there somebody that you're just saying? I think, are you? 372 00:20:05,119 --> 00:20:06,199 Speaker 3: Are you putting your money on? 373 00:20:06,720 --> 00:20:07,200 Speaker 2: Who would it be? 374 00:20:07,400 --> 00:20:07,480 Speaker 4: So? 375 00:20:07,520 --> 00:20:11,720 Speaker 1: If I were betting right now, my analysis is this, 376 00:20:12,640 --> 00:20:15,600 Speaker 1: I think Trump is going to want someone who is 377 00:20:16,280 --> 00:20:21,240 Speaker 1: unlikely to steal his shine in any way. So to me, 378 00:20:21,760 --> 00:20:26,359 Speaker 1: the Veke Ramaswami, for instance, would be unlikely because I 379 00:20:26,400 --> 00:20:31,280 Speaker 1: think the Veke would steal some shine. I don't think 380 00:20:31,359 --> 00:20:35,240 Speaker 1: that Trump is going to go out and get who 381 00:20:35,320 --> 00:20:38,480 Speaker 1: I think would be the most qualified person, Ron DeSantis. 382 00:20:38,520 --> 00:20:45,280 Speaker 1: There's also complicating factors associated with the Florida issue. 383 00:20:45,320 --> 00:20:48,160 Speaker 3: Whether you see what Ron said, yeah, yeah, yeah, Ron 384 00:20:48,200 --> 00:20:50,520 Speaker 3: said yesterday, no, no thanks, I don't want that job. 385 00:20:50,640 --> 00:20:53,680 Speaker 3: So we told you all along, no chance run. Ron 386 00:20:53,760 --> 00:20:56,480 Speaker 3: was never running to VVP. You will absolutely not take 387 00:20:56,520 --> 00:20:59,440 Speaker 3: a VP job. So I think Trump's gonna pick a woman. 388 00:21:00,840 --> 00:21:03,200 Speaker 1: And that's not to say when I just said somebody 389 00:21:03,240 --> 00:21:06,080 Speaker 1: who's not going to steal the shine, that there aren't 390 00:21:06,080 --> 00:21:07,760 Speaker 1: women who would steal the shine. 391 00:21:08,080 --> 00:21:11,640 Speaker 2: I think there are. I think that will be one. 392 00:21:11,720 --> 00:21:13,760 Speaker 1: If I were betting right now, I think Christy Noam 393 00:21:13,800 --> 00:21:17,000 Speaker 1: is the most likely pick. If I were betting right now, 394 00:21:17,040 --> 00:21:20,000 Speaker 1: I would put my money on Christy Knowam. Here's a 395 00:21:20,000 --> 00:21:23,639 Speaker 1: couple of names that, to me buck would be potential 396 00:21:23,720 --> 00:21:27,760 Speaker 1: plays for Trump that I think would do well. I 397 00:21:27,760 --> 00:21:31,280 Speaker 1: haven't heard hardly anybody talk about this. I think Katie 398 00:21:31,359 --> 00:21:36,600 Speaker 1: Britt senator from Alabama. She is I believe, like forty 399 00:21:36,640 --> 00:21:40,040 Speaker 1: two years old young. I think she has three kids. 400 00:21:40,480 --> 00:21:42,639 Speaker 1: Somebody can correct me on the bio if I'm wrong. 401 00:21:44,080 --> 00:21:49,119 Speaker 1: I think she is a under the radar stud potential 402 00:21:49,320 --> 00:21:51,920 Speaker 1: addition that would help Trump with women. 403 00:21:52,240 --> 00:21:54,320 Speaker 3: I'm just gonna say this. I mean, we all know this. 404 00:21:54,320 --> 00:21:57,000 Speaker 3: This isn't a knock on Trump. This isn't a criticism, 405 00:21:57,000 --> 00:22:00,240 Speaker 3: but it's just we know the guy right like that 406 00:22:00,240 --> 00:22:03,639 Speaker 3: she's pretty. He's gonna want a pretty woman. Yeah, and 407 00:22:03,760 --> 00:22:06,320 Speaker 3: Christy Noam and Katie Britt both. I mean, look, there's 408 00:22:06,320 --> 00:22:09,240 Speaker 3: a cosmetic element to all politics. I think he would 409 00:22:09,280 --> 00:22:12,800 Speaker 3: like both of them. Marsha Blackburn, we have her on 410 00:22:12,840 --> 00:22:15,400 Speaker 3: the show a lot. I love Marsha Blackburn. She's my senator, 411 00:22:15,480 --> 00:22:17,480 Speaker 3: one of the two. I like Bill Haggerty two. Both 412 00:22:17,520 --> 00:22:20,080 Speaker 3: of them are doing elegant lady. I think she would. 413 00:22:20,119 --> 00:22:21,159 Speaker 3: She would also be. 414 00:22:21,400 --> 00:22:26,280 Speaker 1: Very a grandma. She's running for reelection here in Tennessee's 415 00:22:26,320 --> 00:22:29,359 Speaker 1: gonna win by twenty points or so buck for her 416 00:22:29,480 --> 00:22:33,280 Speaker 1: second term, but I think that she would do really well. 417 00:22:33,680 --> 00:22:37,080 Speaker 1: I think Sarah Huckabee Sanders is in that mix as 418 00:22:37,240 --> 00:22:41,359 Speaker 1: a mom. I would Those are the four names that 419 00:22:41,640 --> 00:22:44,399 Speaker 1: I would say off the top, like and I know 420 00:22:44,440 --> 00:22:47,119 Speaker 1: there's been some talk, for instance about at least Stefanik 421 00:22:47,160 --> 00:22:52,600 Speaker 1: who held Harvard and and and what was an m 422 00:22:52,640 --> 00:22:56,919 Speaker 1: I t And also what's that pen held all of 423 00:22:56,960 --> 00:23:02,120 Speaker 1: those presidents accountable. I think she is more of a 424 00:23:02,119 --> 00:23:05,400 Speaker 1: attack dog that could take some of the shine off 425 00:23:05,440 --> 00:23:09,120 Speaker 1: of Trump. The four women that I named I think 426 00:23:09,160 --> 00:23:11,280 Speaker 1: would be in the mix. I think Tim Scott, who 427 00:23:11,280 --> 00:23:14,800 Speaker 1: he gave a shout out to, is also in the mix. 428 00:23:15,280 --> 00:23:19,080 Speaker 2: And look, I think he's going to pick a woman. 429 00:23:19,600 --> 00:23:21,280 Speaker 1: And we haven't talked about this a lot, but the 430 00:23:21,320 --> 00:23:24,440 Speaker 1: New York Times had a front page story about what 431 00:23:24,480 --> 00:23:27,440 Speaker 1: Trump's policy on abortion is gonna be. I think he's 432 00:23:27,480 --> 00:23:30,919 Speaker 1: gonna roll that out soon. I've mentioned Nicki Haley before. 433 00:23:31,119 --> 00:23:33,720 Speaker 1: I think things have gotten so contentious between them. I 434 00:23:33,800 --> 00:23:36,200 Speaker 1: think if Nicky Haley had gone to Trump after New 435 00:23:36,240 --> 00:23:39,600 Speaker 1: Hampshire and she had said, Hey, you're gonna be the nominee, 436 00:23:39,760 --> 00:23:42,240 Speaker 1: I'm ready to endorse you, I think she might have 437 00:23:42,320 --> 00:23:44,160 Speaker 1: been at the top of the list. I think that 438 00:23:44,200 --> 00:23:48,040 Speaker 1: she's misplayed and mishandled miss Frankly. I don't know who's 439 00:23:48,080 --> 00:23:49,680 Speaker 1: advising her, but I think they've done a poor job. 440 00:23:49,680 --> 00:23:52,120 Speaker 1: Block those are my names. Who would you say, if 441 00:23:52,119 --> 00:23:53,680 Speaker 1: he came to you should be on the list. 442 00:23:54,040 --> 00:23:57,200 Speaker 3: I actually said this yesterday, And the more I think 443 00:23:57,200 --> 00:23:58,280 Speaker 3: about it, the more I believe. 444 00:23:59,040 --> 00:24:00,120 Speaker 2: I think that she's. 445 00:24:00,080 --> 00:24:02,920 Speaker 3: Looking for a future in corporate America, and so whatever 446 00:24:02,960 --> 00:24:06,359 Speaker 3: the huge money donors want her to do, she'll do 447 00:24:06,480 --> 00:24:08,119 Speaker 3: right now, which means staying in the race because she 448 00:24:08,160 --> 00:24:09,119 Speaker 3: has no chance of winning it. 449 00:24:09,119 --> 00:24:09,639 Speaker 2: We all know it. 450 00:24:09,760 --> 00:24:13,399 Speaker 3: What's the point at this phase? Ron DeSantis, to his credit, 451 00:24:13,640 --> 00:24:15,879 Speaker 3: went to Iowa. Didn't happen. He's like, all right, the 452 00:24:15,920 --> 00:24:18,760 Speaker 3: people have spoken. I'm at the right call, the right call, 453 00:24:19,440 --> 00:24:22,480 Speaker 3: and you know, the Nikki Haley thing. I don't think 454 00:24:22,480 --> 00:24:25,160 Speaker 3: she's helping her long term political brand, but I think 455 00:24:25,200 --> 00:24:28,480 Speaker 3: she might be helping her earning power. For me, dude, 456 00:24:28,520 --> 00:24:30,640 Speaker 3: I don't know why. I just still think it's gonna 457 00:24:30,640 --> 00:24:30,960 Speaker 3: be JD. 458 00:24:31,119 --> 00:24:33,120 Speaker 2: Vince. You know I like JD. 459 00:24:33,800 --> 00:24:35,440 Speaker 3: I mean, I mean when I say I don't know why, 460 00:24:35,720 --> 00:24:38,919 Speaker 3: there's a lot of reasons why, but that's just my 461 00:24:38,920 --> 00:24:41,119 Speaker 3: my gut instinct on this. I heard that as a 462 00:24:41,200 --> 00:24:45,280 Speaker 3: rumor coming out of some folks with ears inside mar 463 00:24:45,320 --> 00:24:48,840 Speaker 3: A Lago a while ago. Last summer actually first time 464 00:24:48,880 --> 00:24:51,160 Speaker 3: that I heard it, and that was under consideration from 465 00:24:51,160 --> 00:24:54,200 Speaker 3: someone who maybe heard it from a guy who probably knows. 466 00:24:55,359 --> 00:24:58,280 Speaker 3: And to me, that would that would make a lot 467 00:24:58,320 --> 00:25:02,280 Speaker 3: of sense, especially if you want somebody who's clearly going 468 00:25:02,320 --> 00:25:05,240 Speaker 3: to learn in the role and be more prepared for 469 00:25:05,320 --> 00:25:08,240 Speaker 3: a top leadership role in the GOP going forward. Right, 470 00:25:08,640 --> 00:25:11,240 Speaker 3: So I don't think, you know, I think that with 471 00:25:11,240 --> 00:25:15,000 Speaker 3: with jd Vance, you'd have somebody who after four years 472 00:25:15,040 --> 00:25:17,600 Speaker 3: of being vice president, after being a centator for a while, 473 00:25:17,800 --> 00:25:20,159 Speaker 3: and also you know, best selling author, he'll Billy Elogy. 474 00:25:20,320 --> 00:25:22,920 Speaker 2: Sure many of you have read it. 475 00:25:22,920 --> 00:25:26,240 Speaker 3: It would seem to me like there's a the passing 476 00:25:26,280 --> 00:25:29,639 Speaker 3: of the baton would be obvious, and therefore there'll be 477 00:25:29,640 --> 00:25:33,000 Speaker 3: no overshadowing of Trump or attempt to overshadow Trump, because 478 00:25:33,040 --> 00:25:36,639 Speaker 3: everyone's very clear. Whereas if you bring somebody who's a 479 00:25:36,680 --> 00:25:39,399 Speaker 3: little bit older and has more national level ambitions, I mean, 480 00:25:39,400 --> 00:25:41,399 Speaker 3: if you were to even have brought in a Nikki Haley, 481 00:25:41,480 --> 00:25:44,120 Speaker 3: let's say earlier on which that's not gonna happen. Now, 482 00:25:44,119 --> 00:25:48,000 Speaker 3: I think that you know there's egos at play here, 483 00:25:48,000 --> 00:25:49,960 Speaker 3: do you know what I mean? Like, clearly, if he 484 00:25:50,000 --> 00:25:53,879 Speaker 3: picks JD. JD knows that he's in the on deck circle. 485 00:25:53,920 --> 00:25:55,120 Speaker 3: He's not that bad. 486 00:25:56,000 --> 00:25:56,560 Speaker 2: No, I think that. 487 00:25:56,720 --> 00:25:58,960 Speaker 1: I think that's important. And you can look at some 488 00:25:59,040 --> 00:26:01,560 Speaker 1: of the selections and past. Right, let's just run through. 489 00:26:01,920 --> 00:26:05,160 Speaker 1: Bill Clinton picked Al Gore and everybody said, okay, out 490 00:26:05,160 --> 00:26:06,479 Speaker 1: Gore's in the on deck circle. 491 00:26:06,520 --> 00:26:08,760 Speaker 2: He's next man up. George W. 492 00:26:08,880 --> 00:26:12,480 Speaker 1: Bush picked Dick Cheney, and everybody said, Okay, this guy's 493 00:26:12,520 --> 00:26:15,640 Speaker 1: never running for president himself. He's an older guy. He's 494 00:26:15,680 --> 00:26:18,600 Speaker 1: more of a steadfast advisor. They also said Dick Cheney 495 00:26:18,680 --> 00:26:21,520 Speaker 1: was running the presidency though remember correct result, Dick Cheney 496 00:26:21,640 --> 00:26:23,879 Speaker 1: was the stealth president. Was the whole claim of the 497 00:26:23,920 --> 00:26:25,840 Speaker 1: left for eight years, and from what I understand it 498 00:26:25,880 --> 00:26:30,480 Speaker 1: wasn't that untrue. Yeah, well, and that's why I don't 499 00:26:30,520 --> 00:26:33,960 Speaker 1: have a lot of frankly love for Liz Cheney, because 500 00:26:33,960 --> 00:26:37,040 Speaker 1: she's ripping Trump now. And my position would be, your 501 00:26:37,160 --> 00:26:41,920 Speaker 1: dad made probably the most disastrous leadership decision of the 502 00:26:41,960 --> 00:26:45,720 Speaker 1: twenty first century when he decided to convince George W. 503 00:26:45,800 --> 00:26:49,560 Speaker 1: Bush that we had to invade Iraq, spend trillions of dollars, 504 00:26:49,840 --> 00:26:54,440 Speaker 1: get virtually no benefit, lose thousands of lives, and now 505 00:26:54,480 --> 00:26:57,440 Speaker 1: you're gonna lecture me about threats to democracy, I'm sorry. 506 00:26:57,440 --> 00:27:01,240 Speaker 1: I think your daddy is the worst of the leaders 507 00:27:01,320 --> 00:27:05,040 Speaker 1: in terms of real big decisions that were made by 508 00:27:05,040 --> 00:27:07,480 Speaker 1: almost anyone in the twenty first century. So don't lecture 509 00:27:07,520 --> 00:27:10,080 Speaker 1: me on Trump being an existential threat to the government 510 00:27:10,440 --> 00:27:13,840 Speaker 1: when your daddy, Liz actually made. I think the worst 511 00:27:13,880 --> 00:27:16,720 Speaker 1: decisions of the twenty first century cost us thousands of 512 00:27:17,040 --> 00:27:20,480 Speaker 1: young lives and trillions of dollars that we're never going 513 00:27:20,520 --> 00:27:22,119 Speaker 1: to get back. So I'm still fired up about that, 514 00:27:22,119 --> 00:27:24,320 Speaker 1: by the way. So I'm not a big Dicteney or 515 00:27:24,400 --> 00:27:27,879 Speaker 1: Liz Cheney fan over that, but he was an older 516 00:27:27,920 --> 00:27:29,639 Speaker 1: guy who was not going to be a candidate. I 517 00:27:29,720 --> 00:27:33,680 Speaker 1: think Barack Obama picked Joe Biden thinking that Biden had 518 00:27:33,720 --> 00:27:36,600 Speaker 1: basically aged his way out. I think Biden's I mean, 519 00:27:36,640 --> 00:27:39,719 Speaker 1: I think Obama's as stunned as anybody that Joe Biden's in. 520 00:27:40,440 --> 00:27:42,240 Speaker 1: By the way, these are the favorites, So I think 521 00:27:42,240 --> 00:27:43,200 Speaker 1: that's a really good point. 522 00:27:43,280 --> 00:27:43,520 Speaker 2: Buck. 523 00:27:44,000 --> 00:27:46,639 Speaker 1: Is Trump looking for somebody who is going to be 524 00:27:46,640 --> 00:27:49,960 Speaker 1: a stabilizing force inside the government but may not have 525 00:27:50,080 --> 00:27:53,119 Speaker 1: the ambition to be the next president, or is he 526 00:27:53,280 --> 00:27:58,399 Speaker 1: trying to be basically giving the deputization of this is 527 00:27:58,480 --> 00:28:01,200 Speaker 1: next man up, just to know him as the favorite 528 00:28:01,280 --> 00:28:04,720 Speaker 1: right now in gambling markets, Tim Scott. You can gamble 529 00:28:04,920 --> 00:28:07,439 Speaker 1: on who vice President's going to be, Tim Scott in 530 00:28:07,560 --> 00:28:12,240 Speaker 1: second place, the vacant third place, Eleas Stephonic in fourth place, 531 00:28:12,720 --> 00:28:18,280 Speaker 1: Byron Donald's in fifth place, Nicky Hayley in sixth place. 532 00:28:18,480 --> 00:28:18,760 Speaker 2: Buck. 533 00:28:18,880 --> 00:28:23,639 Speaker 1: That would be the predicted markets right now in real 534 00:28:23,760 --> 00:28:26,160 Speaker 1: time who they think that Trump. 535 00:28:25,920 --> 00:28:29,080 Speaker 2: Is going to select as his VP, which. 536 00:28:28,840 --> 00:28:33,480 Speaker 1: Will be I think probably the most interesting of the decisions. 537 00:28:33,520 --> 00:28:35,920 Speaker 1: I also, I haven't heard Trump maybe you have, Buck, 538 00:28:36,119 --> 00:28:38,760 Speaker 1: I haven't heard a time frame yet of when his 539 00:28:38,960 --> 00:28:42,600 Speaker 1: plan would be to announce a candidate. Obviously, we're going 540 00:28:42,680 --> 00:28:45,200 Speaker 1: to be up in Milwaukee in July. I would think 541 00:28:45,240 --> 00:28:49,640 Speaker 1: it would happen sometime around Memorial Day early June. Would 542 00:28:49,640 --> 00:28:52,120 Speaker 1: be my guests, That obviously is going to be a 543 00:28:52,120 --> 00:28:53,000 Speaker 1: big attention grabber. 544 00:28:54,280 --> 00:28:55,760 Speaker 2: All right, I agree. 545 00:28:55,880 --> 00:28:57,680 Speaker 3: I think that Trump is going to play it for 546 00:28:58,480 --> 00:29:00,160 Speaker 3: maximum media benefit. 547 00:28:59,840 --> 00:29:02,800 Speaker 2: As well as the effect that it may have on 548 00:29:03,200 --> 00:29:03,600 Speaker 2: the ticket. 549 00:29:03,600 --> 00:29:07,280 Speaker 3: Although in general I think that vice presidents don't really 550 00:29:07,360 --> 00:29:10,959 Speaker 3: do all that much. But to be fair, in an 551 00:29:10,960 --> 00:29:13,280 Speaker 3: election that I think is going to be so Razor thin. 552 00:29:14,000 --> 00:29:16,360 Speaker 3: If you're talking about something that's going to be as 553 00:29:16,400 --> 00:29:18,840 Speaker 3: close as what twenty twenty four is likely to be, 554 00:29:19,600 --> 00:29:22,080 Speaker 3: every little bit can make the difference. Right, Every good 555 00:29:22,120 --> 00:29:26,120 Speaker 3: decision or not can be the determining factor. Badge whether 556 00:29:26,200 --> 00:29:30,360 Speaker 3: or not you have a Trump presidency or Biden slash. 557 00:29:30,520 --> 00:29:32,640 Speaker 3: Yeah yeah, I know you all think that someone else 558 00:29:32,720 --> 00:29:34,720 Speaker 3: is gonna be in for Biden whatever it may be, 559 00:29:34,840 --> 00:29:38,600 Speaker 3: though same rules apply. Are you a jump out of 560 00:29:38,640 --> 00:29:40,360 Speaker 3: bed in the morning type, I'm not. 561 00:29:40,600 --> 00:29:42,520 Speaker 2: I wish I were. Carry is she gets up every 562 00:29:42,520 --> 00:29:43,360 Speaker 2: morning super early. 563 00:29:43,600 --> 00:29:46,960 Speaker 3: But our friends at Chalk make mornings manageable with the 564 00:29:47,000 --> 00:29:50,400 Speaker 3: supplements that they've got. Their male and female vitality stacks 565 00:29:50,400 --> 00:29:53,400 Speaker 3: are formulated with natural ingredients to give men and women 566 00:29:53,520 --> 00:29:57,720 Speaker 3: energy and stamina. For guys, the male vitality sack replenishes testosterone, 567 00:29:57,760 --> 00:30:00,160 Speaker 3: something that diminishes as we age, and for the ladies, 568 00:30:00,280 --> 00:30:03,440 Speaker 3: it's all about balancing those hormones. Chalk also has a 569 00:30:03,440 --> 00:30:05,680 Speaker 3: product I personally love called Chadmode. 570 00:30:05,720 --> 00:30:06,440 Speaker 2: I took it today. 571 00:30:06,760 --> 00:30:08,920 Speaker 3: It's a powder supplement you mix in with water or 572 00:30:09,000 --> 00:30:11,200 Speaker 3: juice before working out, or even if you just have 573 00:30:11,240 --> 00:30:12,840 Speaker 3: a super busy day you want to get a lot done. 574 00:30:12,840 --> 00:30:14,320 Speaker 3: Around the house, get a lot of cleaning done, a 575 00:30:14,320 --> 00:30:16,360 Speaker 3: lot of admin done. Just go for a long walk 576 00:30:16,400 --> 00:30:19,280 Speaker 3: and have a lot of energy. Chadmode is awesome. You 577 00:30:19,280 --> 00:30:21,640 Speaker 3: can learn more about the ingredients, which are all clean, 578 00:30:21,800 --> 00:30:23,880 Speaker 3: good ingredients. You can read them, you'll know what they 579 00:30:23,920 --> 00:30:28,240 Speaker 3: are at chalk dot com. That's choq dot com. Through 580 00:30:28,280 --> 00:30:30,360 Speaker 3: the end of this month, Chalk is offering a massive 581 00:30:30,400 --> 00:30:34,480 Speaker 3: discount on any subscription for life exclusive to you. Visit 582 00:30:34,560 --> 00:30:37,080 Speaker 3: Chalk dot com. Use my name Buck as your promo 583 00:30:37,120 --> 00:30:40,760 Speaker 3: code for that big time discount that Choq dot com 584 00:30:40,800 --> 00:30:42,920 Speaker 3: and use that promo code Buck. 585 00:30:43,240 --> 00:30:49,360 Speaker 2: Truth Seeking, Reality Telling The Claytravis and Buck Sexton. 586 00:30:49,000 --> 00:30:53,200 Speaker 1: Show, Webme Back in Clay Travis Buck Sexton Show. Final 587 00:30:53,320 --> 00:30:57,080 Speaker 1: hour of the show, Thursday edition. Appreciate all of you 588 00:30:57,160 --> 00:31:00,200 Speaker 1: hanging out with us. Want to let you know, go 589 00:31:00,320 --> 00:31:03,719 Speaker 1: subscribe to the podcast. You just heard Carol Markowitz on 590 00:31:03,840 --> 00:31:06,120 Speaker 1: with us in the last half hour. She does a 591 00:31:06,120 --> 00:31:09,600 Speaker 1: phenomenal podcast. Tutor Dixon will have her on again soon. 592 00:31:09,720 --> 00:31:13,040 Speaker 1: She's also doing incredible work. More to be added soon 593 00:31:13,600 --> 00:31:15,880 Speaker 1: to that podcast network. Obviously, you can get me in 594 00:31:15,960 --> 00:31:18,880 Speaker 1: Bock broken down by the hour. If you're busy, you 595 00:31:18,920 --> 00:31:20,360 Speaker 1: can run right in there and be like, oh, I 596 00:31:20,360 --> 00:31:21,720 Speaker 1: see they're talking about X topic. 597 00:31:21,760 --> 00:31:22,400 Speaker 2: I want to dive in. 598 00:31:22,440 --> 00:31:24,880 Speaker 1: I want to listen to that while you work out, 599 00:31:24,960 --> 00:31:27,600 Speaker 1: while you run around, pick up the kids, sit in 600 00:31:27,680 --> 00:31:29,720 Speaker 1: line at the carpool, wherever you might be. 601 00:31:29,920 --> 00:31:31,200 Speaker 2: You can take us with you. 602 00:31:31,200 --> 00:31:34,520 Speaker 1: You can even pull a Laura Travis and listen to 603 00:31:34,640 --> 00:31:37,479 Speaker 1: us at twice the rate of speed with which we 604 00:31:37,640 --> 00:31:40,480 Speaker 1: actually talk so that you can hear the whole show 605 00:31:40,640 --> 00:31:43,800 Speaker 1: in forty five minutes, which legitimately is what my wife does. 606 00:31:44,680 --> 00:31:48,400 Speaker 1: She will zoom right through and you can listen faster 607 00:31:48,480 --> 00:31:52,560 Speaker 1: and feel like you're being super productive. But several different 608 00:31:52,600 --> 00:31:53,760 Speaker 1: things that I want to hit. By the way, you 609 00:31:53,760 --> 00:31:58,160 Speaker 1: can also go subscribe to clayanbuck dot com, become a VIP. 610 00:31:58,320 --> 00:32:01,120 Speaker 1: You can email directly producer Ali. We'll see everything that's 611 00:32:01,160 --> 00:32:05,080 Speaker 1: sent in, and you also then will have the opportunity 612 00:32:05,120 --> 00:32:08,320 Speaker 1: to watch us if you so desire for three hours 613 00:32:08,360 --> 00:32:11,480 Speaker 1: of daily radio. Hello, we are waving at you right now. 614 00:32:11,520 --> 00:32:14,640 Speaker 1: It is exquisite. Buck is saying, Hi. Occasionally, you might 615 00:32:14,680 --> 00:32:17,320 Speaker 1: get dogs, you might get children in video. You really 616 00:32:17,360 --> 00:32:20,120 Speaker 1: have no idea what might come from one moment to 617 00:32:20,160 --> 00:32:23,600 Speaker 1: the next. All right, several different things that are out there. 618 00:32:23,880 --> 00:32:25,760 Speaker 1: We've talked about a variety of topics, but I want 619 00:32:25,760 --> 00:32:29,200 Speaker 1: to hit a couple that we haven't really discussed so far, 620 00:32:29,640 --> 00:32:32,440 Speaker 1: And I want to start buck with this ridiculous idea 621 00:32:32,480 --> 00:32:36,160 Speaker 1: that Joe Biden is remaining committed to of trying to 622 00:32:36,720 --> 00:32:41,280 Speaker 1: cancel and cancel is in quotation Mark's student loan debt. 623 00:32:41,840 --> 00:32:45,440 Speaker 1: They send an email to over one hundred thousand student 624 00:32:45,640 --> 00:32:50,520 Speaker 1: loan borrowers and they said, Hey, Santa, Joe Biden has 625 00:32:50,560 --> 00:32:55,240 Speaker 1: decided that he's going to cancel your student loans. Now, 626 00:32:55,440 --> 00:32:58,959 Speaker 1: this is absurd on so many different levels, and the 627 00:32:59,000 --> 00:33:02,560 Speaker 1: primary one that I would start with Buck is there's 628 00:33:02,560 --> 00:33:06,360 Speaker 1: no such thing as canceling student loans. The debts are there. 629 00:33:06,960 --> 00:33:09,920 Speaker 1: What's really happening is and I would encourage the media 630 00:33:10,760 --> 00:33:14,240 Speaker 1: the idea that you're using the phrase cancel student loans 631 00:33:14,400 --> 00:33:17,800 Speaker 1: is a lie on its face. I would encourage anybody 632 00:33:17,880 --> 00:33:22,120 Speaker 1: out there in media to start accurately reflecting what is 633 00:33:22,160 --> 00:33:27,520 Speaker 1: occurring here, which is the loan repayment obligation is being 634 00:33:27,640 --> 00:33:31,479 Speaker 1: shifted from the individual who took the loan out and 635 00:33:31,600 --> 00:33:35,480 Speaker 1: incurred the liability to you and me and every other 636 00:33:35,600 --> 00:33:38,680 Speaker 1: taxpayer in America to the tune of Now, I believe 637 00:33:38,720 --> 00:33:41,200 Speaker 1: the dollar figure cost on this reportedly buck as one 638 00:33:41,280 --> 00:33:44,880 Speaker 1: hundred and forty billion dollars. So not being canceled, You 639 00:33:44,920 --> 00:33:47,320 Speaker 1: and me who didn't have student loan debt, now do 640 00:33:47,520 --> 00:33:51,600 Speaker 1: we're taking it on and Buck. This is occurring in 641 00:33:51,720 --> 00:33:55,560 Speaker 1: direct contravention of a Supreme Court ruling that said Joe 642 00:33:55,600 --> 00:33:58,200 Speaker 1: Biden did not have the ability to do this with 643 00:33:58,320 --> 00:34:01,600 Speaker 1: over four hundred billion dollar, which he tried to do 644 00:34:01,760 --> 00:34:04,720 Speaker 1: right before the twenty twenty two election. And if you 645 00:34:04,960 --> 00:34:08,239 Speaker 1: actually respected the Supreme Court or the rule of law 646 00:34:08,280 --> 00:34:11,160 Speaker 1: in this country, you wouldn't be doing what Joe Biden 647 00:34:11,239 --> 00:34:13,720 Speaker 1: is doing, which is thumbing your nose at Supreme Court 648 00:34:13,800 --> 00:34:17,280 Speaker 1: rulings and saying basically, I dare the court to stop 649 00:34:17,320 --> 00:34:20,200 Speaker 1: me from doing what I am doing here. I'm fired 650 00:34:20,280 --> 00:34:22,719 Speaker 1: up about this, the fact the way it's covered, and 651 00:34:22,760 --> 00:34:24,600 Speaker 1: the fact that it's continuing to occur. 652 00:34:25,360 --> 00:34:28,120 Speaker 3: Straight out of the Obama playbook. By the way, this 653 00:34:28,160 --> 00:34:31,479 Speaker 3: is what Barack Obama did many times where he would 654 00:34:31,480 --> 00:34:35,480 Speaker 3: publicly say I don't have the power to in order 655 00:34:35,600 --> 00:34:41,800 Speaker 3: to try and coerce Congress Republicans in Congress into doing something, 656 00:34:42,160 --> 00:34:44,680 Speaker 3: and then when they would stand firm and not do 657 00:34:44,800 --> 00:34:47,040 Speaker 3: what the Democrats and Obama want them to just say, 658 00:34:47,080 --> 00:34:48,600 Speaker 3: all right, well I'm just going to do it. Remember 659 00:34:48,640 --> 00:34:49,920 Speaker 3: I got a pen and a phone. That was what 660 00:34:49,960 --> 00:34:51,640 Speaker 3: Obama said, a pen and a phone, as if that 661 00:34:51,760 --> 00:34:55,200 Speaker 3: was all that it took. And I think there were 662 00:34:55,920 --> 00:34:59,440 Speaker 3: of thirteen or fourteen times the Supreme Court had to 663 00:34:59,480 --> 00:35:04,719 Speaker 3: review Obama executive orders. Obama lost I believe eleven. I mean, 664 00:35:04,840 --> 00:35:09,799 Speaker 3: just absolutely overreach time and time again of executive power 665 00:35:09,880 --> 00:35:12,759 Speaker 3: under the Obama administration for eight years. Now, what does 666 00:35:12,800 --> 00:35:16,680 Speaker 3: that do that? Joe Biden? This is the break the glass. 667 00:35:16,719 --> 00:35:20,320 Speaker 3: All bets are off. Who cares strategy? The only thing 668 00:35:20,440 --> 00:35:23,879 Speaker 3: that prevents Democrats from doing something in this election year 669 00:35:24,000 --> 00:35:26,680 Speaker 3: is can they pull it off? Do they have the 670 00:35:26,800 --> 00:35:30,040 Speaker 3: raw power to just do it? And will it help 671 00:35:30,080 --> 00:35:34,920 Speaker 3: them or hurt them politically? Principal constitution, separation of powers. 672 00:35:35,239 --> 00:35:38,399 Speaker 3: None of those things really come into the equation. And 673 00:35:38,520 --> 00:35:43,640 Speaker 3: this is just a straightforward unconstitutional buying off of voters. Now, 674 00:35:44,000 --> 00:35:46,040 Speaker 3: that same principle, and if we call it the razor's 675 00:35:46,120 --> 00:35:48,919 Speaker 3: edge principle that we talked about last hour, I said, yeah, 676 00:35:49,040 --> 00:35:51,000 Speaker 3: vps don't move the needle that much. But when you 677 00:35:51,040 --> 00:35:52,879 Speaker 3: talk about how you think it might help with a VP. 678 00:35:53,480 --> 00:35:56,320 Speaker 3: Doesn't have to help very much. Right If fifty thousand 679 00:35:56,320 --> 00:36:00,720 Speaker 3: people think that you know, christynaem or Jdvan Answer whomever 680 00:36:00,880 --> 00:36:03,120 Speaker 3: is a great VP, and that changes their mind, that 681 00:36:03,160 --> 00:36:06,120 Speaker 3: could actually change the election. Same thing here applies to 682 00:36:06,160 --> 00:36:09,080 Speaker 3: the student loan borrowers. You don't have to buy off 683 00:36:09,160 --> 00:36:12,799 Speaker 3: that many voters in such an explicit quid pro quo 684 00:36:12,880 --> 00:36:16,480 Speaker 3: away and unconstitutional way to maybe buy yourself four more 685 00:36:16,520 --> 00:36:17,600 Speaker 3: years of the presidency. 686 00:36:17,800 --> 00:36:19,640 Speaker 2: Two things they are building off what you said. 687 00:36:19,760 --> 00:36:24,239 Speaker 1: One, this allows Biden if the Supreme Court strikes it down, 688 00:36:24,400 --> 00:36:27,800 Speaker 1: to say I tried to take care of you. Those 689 00:36:27,960 --> 00:36:31,319 Speaker 1: awful Republicans on the Supreme Court are the ones who 690 00:36:31,360 --> 00:36:34,120 Speaker 1: took this benefit away from you, because once he gives it, 691 00:36:34,760 --> 00:36:37,560 Speaker 1: then people are more reactive when it gets taken away. 692 00:36:37,719 --> 00:36:41,040 Speaker 2: It's like Biden is evil. Santa Claus here, that's right. 693 00:36:41,239 --> 00:36:43,600 Speaker 1: Second part on this, building on what you just said 694 00:36:43,600 --> 00:36:46,480 Speaker 1: about how it only takes like a pinprick of people 695 00:36:46,560 --> 00:36:51,480 Speaker 1: to actually potentially adjust the outcome of this election. My theory, 696 00:36:51,680 --> 00:36:53,520 Speaker 1: and some of you out there can tell it, can 697 00:36:53,560 --> 00:36:56,600 Speaker 1: tell me I'm crazy. I understand the argument that Trump 698 00:36:56,640 --> 00:37:00,960 Speaker 1: has that buyo Mar's VP choice doesn't matter. But my 699 00:37:01,160 --> 00:37:04,719 Speaker 1: theory here is there are millions of people and I'm 700 00:37:04,760 --> 00:37:07,239 Speaker 1: curious if you buy into this theory at all, Buck, 701 00:37:07,400 --> 00:37:10,520 Speaker 1: and also all of you out there as well. There 702 00:37:10,520 --> 00:37:13,400 Speaker 1: are millions of people, maybe even tens of millions of 703 00:37:13,440 --> 00:37:16,560 Speaker 1: people in the United States that are going to say, eh, 704 00:37:16,600 --> 00:37:19,239 Speaker 1: I'm not really a Biden guy, I'm not really a 705 00:37:19,280 --> 00:37:21,960 Speaker 1: Trump guy. And a lot of those same people are 706 00:37:21,960 --> 00:37:24,799 Speaker 1: going to say, and I don't really like Kamala Harris either. 707 00:37:26,200 --> 00:37:31,600 Speaker 1: If Trump picked a likable VP. I really do believe 708 00:37:32,040 --> 00:37:36,080 Speaker 1: that there are potentially millions of voters out there that 709 00:37:36,160 --> 00:37:39,040 Speaker 1: will say, and again, I'm not talking about the people 710 00:37:39,080 --> 00:37:41,960 Speaker 1: who were already committed to vote Democrat or Republican, and 711 00:37:42,280 --> 00:37:44,600 Speaker 1: you could throw out anybody on the ticket and they're 712 00:37:44,600 --> 00:37:46,080 Speaker 1: so committed to the team they're going to. 713 00:37:46,000 --> 00:37:46,919 Speaker 2: Show up and vote. Right. 714 00:37:46,920 --> 00:37:50,560 Speaker 1: That's probably eighty five ninety percent of the overall electorate. 715 00:37:50,800 --> 00:37:53,919 Speaker 1: I'm talking about that ten percent. I think there are 716 00:37:54,040 --> 00:37:58,240 Speaker 1: tens of millions of people in America, not consistent voters, 717 00:37:59,120 --> 00:38:02,840 Speaker 1: not necessary gonna show up, may not make a decision 718 00:38:02,840 --> 00:38:05,280 Speaker 1: on who to vote for until the last couple of weeks, 719 00:38:05,280 --> 00:38:09,000 Speaker 1: maybe not even until the week of the election, that 720 00:38:09,080 --> 00:38:11,319 Speaker 1: would look and say I don't like Trump, I don't 721 00:38:11,400 --> 00:38:13,160 Speaker 1: like Biden, I don't like Kamala. 722 00:38:13,239 --> 00:38:14,880 Speaker 2: That's what all the numbers would reflect. 723 00:38:15,719 --> 00:38:21,080 Speaker 1: But if Trump could pick a likable VP, they may say, 724 00:38:21,280 --> 00:38:22,800 Speaker 1: you know what, but I kind of like this person. 725 00:38:23,080 --> 00:38:25,799 Speaker 1: And I mentioned several different women that I think could 726 00:38:25,840 --> 00:38:29,320 Speaker 1: be in that likable category. I think Christy Noam could. 727 00:38:29,680 --> 00:38:35,360 Speaker 1: I think that, Marcia Blackburn could I think that. I 728 00:38:35,640 --> 00:38:38,160 Speaker 1: think Katie Britt. I'm not hearing anybody talk about her. 729 00:38:38,400 --> 00:38:41,840 Speaker 1: She's got two kids. Buck forty two years old, good. 730 00:38:41,640 --> 00:38:47,200 Speaker 2: Looking, looks like the kind of family that women would 731 00:38:47,320 --> 00:38:47,959 Speaker 2: like to have. 732 00:38:49,040 --> 00:38:51,279 Speaker 1: This is one thing that I like about Ron DeSantis, 733 00:38:51,280 --> 00:38:53,680 Speaker 1: and I think Ron DeSantis and Casey DeSantis would have 734 00:38:53,719 --> 00:38:55,640 Speaker 1: had a lot of appeal to people for this reason. 735 00:38:56,480 --> 00:38:58,319 Speaker 2: You know, we had Gerdski on Buck. This is a 736 00:38:58,320 --> 00:38:59,000 Speaker 2: crazy stat. 737 00:38:59,480 --> 00:39:05,360 Speaker 1: Men havevo for every Republican majority of men since nineteen 738 00:39:05,400 --> 00:39:06,840 Speaker 1: sixty four, since LBJ. 739 00:39:07,160 --> 00:39:11,400 Speaker 2: Right, LBJ, that's a crazy stat. I think there are lots. 740 00:39:11,200 --> 00:39:15,439 Speaker 1: Of women out there, suburban, college educated women that look 741 00:39:15,480 --> 00:39:17,120 Speaker 1: at families the kind. 742 00:39:16,960 --> 00:39:18,759 Speaker 2: Of people and I'm part of this crew, so I 743 00:39:18,760 --> 00:39:19,319 Speaker 2: think about it. 744 00:39:19,360 --> 00:39:20,920 Speaker 1: Bucky you'll be a part of this crew one day 745 00:39:21,160 --> 00:39:24,440 Speaker 1: that send out Christmas cards and put all their kids 746 00:39:24,440 --> 00:39:26,880 Speaker 1: on the Christmas card. I think a lot of women 747 00:39:26,920 --> 00:39:30,360 Speaker 1: look at that and say, what a beautiful family. I 748 00:39:30,360 --> 00:39:33,360 Speaker 1: would like to have a family like that. She looks 749 00:39:33,560 --> 00:39:38,360 Speaker 1: like my family. I feel connected to that family. Kamala 750 00:39:38,400 --> 00:39:41,800 Speaker 1: Harris doesn't connect like that. I feel like Trump hasn't. 751 00:39:41,840 --> 00:39:43,919 Speaker 1: And by the way, Trump's on what is it, wife 752 00:39:44,000 --> 00:39:46,680 Speaker 1: number three? I can see why a lot of women 753 00:39:46,719 --> 00:39:49,759 Speaker 1: out there are like, hey, you know, like I don't 754 00:39:49,800 --> 00:39:53,120 Speaker 1: know necessarily that I buy into wanting to be with 755 00:39:53,200 --> 00:39:55,719 Speaker 1: a guy who's on wife number three. I'm sure maybe 756 00:39:55,719 --> 00:39:58,200 Speaker 1: there's a widow we're out there listening to us who 757 00:39:58,320 --> 00:40:02,160 Speaker 1: unfortunately has had two different wives or two different husbands die. 758 00:40:02,640 --> 00:40:07,640 Speaker 1: If you're on the third, third lifelong partner and you 759 00:40:07,719 --> 00:40:10,320 Speaker 1: haven't had a couple of double deaths, because it's awful 760 00:40:10,360 --> 00:40:13,080 Speaker 1: and you just happen to get awful luck. 761 00:40:12,920 --> 00:40:14,800 Speaker 2: That way, most people out there are like, yeah, I 762 00:40:14,800 --> 00:40:16,439 Speaker 2: don't want to be married three times. 763 00:40:17,080 --> 00:40:21,080 Speaker 1: But you've got somebody like Katie Britt, somebody like Marsha 764 00:40:21,120 --> 00:40:24,640 Speaker 1: Blackburn who's a grandma, has a beautiful family. I think 765 00:40:24,680 --> 00:40:26,840 Speaker 1: that could move some of these women, I think they 766 00:40:26,880 --> 00:40:29,400 Speaker 1: would say, I don't like Trump, I don't like Biden. 767 00:40:29,680 --> 00:40:31,719 Speaker 1: That's gonna be very consensus. You're gonna hear that a 768 00:40:31,719 --> 00:40:33,680 Speaker 1: lot from people who are middle of the road. I 769 00:40:33,760 --> 00:40:37,400 Speaker 1: don't like Kamala's that's who you could appeal to. I 770 00:40:37,400 --> 00:40:38,400 Speaker 1: think they're grabbable. 771 00:40:38,840 --> 00:40:42,880 Speaker 3: It's a little bit like people used to discuss, particularly 772 00:40:42,920 --> 00:40:45,000 Speaker 3: in the early two thousands. You'd hear and this was 773 00:40:45,040 --> 00:40:48,279 Speaker 3: the big plus for George W. Bush at the time, right, 774 00:40:48,320 --> 00:40:50,520 Speaker 3: this is pre all the Wars and nine eleven. Yeah, 775 00:40:50,520 --> 00:40:52,160 Speaker 3: people say, oh, he's the kind of guy you want 776 00:40:52,160 --> 00:40:53,879 Speaker 3: to have a beer with. Career test and you've brought 777 00:40:53,920 --> 00:40:58,000 Speaker 3: that up for women, it might be, you know, a 778 00:40:58,120 --> 00:41:00,800 Speaker 3: macho late test, but it's a idea. 779 00:41:01,000 --> 00:41:02,560 Speaker 1: I don't even know what that is. What is the 780 00:41:02,600 --> 00:41:06,280 Speaker 1: macho late. You've never had a green tea? Macho late. 781 00:41:06,600 --> 00:41:08,160 Speaker 1: I've never even heard of it. I don't even know 782 00:41:08,200 --> 00:41:10,720 Speaker 1: what that is. I mean, it's something that flute players 783 00:41:10,760 --> 00:41:11,120 Speaker 1: really like. 784 00:41:11,200 --> 00:41:15,200 Speaker 2: I can tell you that I legitimately have never heard 785 00:41:15,200 --> 00:41:17,440 Speaker 2: that phrase in my whole life. This is I'm a 786 00:41:17,520 --> 00:41:20,480 Speaker 2: machia late. Yes, it's a real thing. Green tea, it's 787 00:41:20,480 --> 00:41:23,040 Speaker 2: a tea be Alat would be like coffee, This is 788 00:41:23,080 --> 00:41:24,319 Speaker 2: like a tea, Like this is. 789 00:41:24,440 --> 00:41:27,160 Speaker 3: You You're next time you're in South Beach, We're gonna 790 00:41:27,160 --> 00:41:29,400 Speaker 3: get you into a Berries boot camp class. 791 00:41:29,600 --> 00:41:34,360 Speaker 1: And I'm actually have well, there's a Berries in Nashville. 792 00:41:34,360 --> 00:41:36,799 Speaker 1: It's where all the really good looking young women go. 793 00:41:37,320 --> 00:41:37,560 Speaker 2: Uh. 794 00:41:37,600 --> 00:41:39,440 Speaker 1: And one of my single guy friends took me to 795 00:41:39,480 --> 00:41:42,480 Speaker 1: a Barry's boot camp class with him one time, and 796 00:41:42,520 --> 00:41:44,719 Speaker 1: I was like, you'ren't even coming to work out, You're 797 00:41:44,719 --> 00:41:46,840 Speaker 1: just coming to look at girls. He was like yeah basically, 798 00:41:47,000 --> 00:41:49,560 Speaker 1: So I'm like, okay, I get it. So yeah, I'm 799 00:41:49,560 --> 00:41:52,000 Speaker 1: sure in South Beach or in Miami where you are, 800 00:41:52,040 --> 00:41:54,560 Speaker 1: this is probably the best looking workout group of all. 801 00:41:54,880 --> 00:41:56,840 Speaker 3: All these moms go in there, they've got three or 802 00:41:56,840 --> 00:41:59,120 Speaker 3: four kids already, and they're all in better shape to me. 803 00:41:59,160 --> 00:42:01,919 Speaker 2: And I'm like, I don't know, how is this even possible? Yeah, 804 00:42:01,960 --> 00:42:03,000 Speaker 2: no doubt, but yes. 805 00:42:03,080 --> 00:42:06,360 Speaker 1: I mean on some level, I think that women respond 806 00:42:06,400 --> 00:42:08,879 Speaker 1: to families that they would like to have, they see 807 00:42:08,920 --> 00:42:12,200 Speaker 1: themselves as in a personification of that. I don't know 808 00:42:12,280 --> 00:42:14,280 Speaker 1: that the Trump people are going to make this decision, 809 00:42:14,520 --> 00:42:16,840 Speaker 1: and I think this factors in what our guy, we 810 00:42:17,360 --> 00:42:21,959 Speaker 1: like him Tim Scott just got engaged. I think Tim 811 00:42:21,960 --> 00:42:25,320 Speaker 1: Scott being a single guy and not having a family 812 00:42:25,760 --> 00:42:28,960 Speaker 1: actually made people less likely to vote for him, because 813 00:42:29,000 --> 00:42:32,839 Speaker 1: people want to see themselves reflected in some way in 814 00:42:32,880 --> 00:42:36,480 Speaker 1: their leaders. And I think if Trump got a woman 815 00:42:36,520 --> 00:42:38,759 Speaker 1: that would appeal to suburbs and people got mad at 816 00:42:38,760 --> 00:42:40,279 Speaker 1: me when I talked about Nicky Haley, I think if 817 00:42:40,360 --> 00:42:42,759 Speaker 1: Vicky Haley hadn't been an idiot running this campaign to 818 00:42:43,080 --> 00:42:45,920 Speaker 1: scorched earth, I think it could have been her, although 819 00:42:46,160 --> 00:42:49,000 Speaker 1: you know she doesn't necessarily have some of the details. 820 00:42:49,080 --> 00:42:50,759 Speaker 3: You think with this, by the way, do you think 821 00:42:50,760 --> 00:42:52,719 Speaker 3: maybe Nicky Haley is just doing the bidding of the 822 00:42:52,719 --> 00:42:54,840 Speaker 3: donor class because she knows when the dust settles, and 823 00:42:54,880 --> 00:42:57,200 Speaker 3: she doesn't have a job in politics that are to 824 00:42:57,239 --> 00:42:59,000 Speaker 3: be on the good side of people that can give 825 00:42:59,040 --> 00:43:01,080 Speaker 3: her board seats and speaking gigs. 826 00:43:01,120 --> 00:43:03,440 Speaker 2: We got too hard. I think that's a part of 827 00:43:03,440 --> 00:43:03,759 Speaker 2: the book. 828 00:43:03,800 --> 00:43:06,560 Speaker 1: I think she's also gambling that Trump's gonna lose, and 829 00:43:06,600 --> 00:43:08,520 Speaker 1: then if she runs again in twenty eight, she can 830 00:43:08,560 --> 00:43:10,719 Speaker 1: be the person who comes out and says, see, I 831 00:43:10,800 --> 00:43:12,600 Speaker 1: told you you should have picked me in twenty four 832 00:43:13,000 --> 00:43:14,040 Speaker 1: if Trump wins. 833 00:43:14,640 --> 00:43:17,080 Speaker 2: I think nicki Haley's political career is over. 834 00:43:17,480 --> 00:43:20,520 Speaker 1: Because I think if Trump wins in twenty four, why 835 00:43:20,520 --> 00:43:22,840 Speaker 1: would you support Nicki Haley in twenty eight based on 836 00:43:22,880 --> 00:43:26,200 Speaker 1: the way that she has behaved here. I mean, there 837 00:43:26,200 --> 00:43:28,839 Speaker 1: are gonna be twenty people running in twenty eight if 838 00:43:28,840 --> 00:43:31,160 Speaker 1: Trump wins. Even if Trump doesn't win, I think there'll 839 00:43:31,200 --> 00:43:35,000 Speaker 1: be twenty people running. I think Nicki Haley is sabotaging 840 00:43:35,040 --> 00:43:36,960 Speaker 1: her career, and I think the theory is that either 841 00:43:36,960 --> 00:43:40,080 Speaker 1: Trump's gonna lose and she will be the person who 842 00:43:40,160 --> 00:43:42,239 Speaker 1: was the truth teller. I don't know that I buy that, 843 00:43:42,360 --> 00:43:44,000 Speaker 1: but I think that's one theory. The other one is 844 00:43:44,600 --> 00:43:46,560 Speaker 1: Jesus like screwed. I'm gonna make as much money as 845 00:43:46,560 --> 00:43:49,120 Speaker 1: I possibly can, and a lot of really super rich 846 00:43:49,160 --> 00:43:52,319 Speaker 1: people are now my friends, and they're gonna take care 847 00:43:52,360 --> 00:43:54,160 Speaker 1: of me and my family for the rest of my life. 848 00:43:54,520 --> 00:43:56,799 Speaker 3: I think, based on the history of what happened after 849 00:43:56,840 --> 00:43:58,879 Speaker 3: she was US Ambassador of the United Nations, it doesn't 850 00:43:58,880 --> 00:44:00,759 Speaker 3: seem like that much of a stretch to me. I'd 851 00:44:00,760 --> 00:44:03,000 Speaker 3: also put out there and maybe we can return to this, 852 00:44:03,080 --> 00:44:07,880 Speaker 3: but it'll be a recurring theme. Nonetheless, we mentioned the 853 00:44:08,040 --> 00:44:11,040 Speaker 3: Laticia James statement she's the Attorney General for New York 854 00:44:11,760 --> 00:44:14,680 Speaker 3: that she will seize Trump buildings. I grew up in 855 00:44:14,719 --> 00:44:18,960 Speaker 3: New York City, Okay, walking around seeing Trump this and 856 00:44:18,960 --> 00:44:22,480 Speaker 3: Trump Plaza and Trump Tower and Trump International and you know, 857 00:44:22,560 --> 00:44:25,319 Speaker 3: all these things. They're going to start just deciding that 858 00:44:25,400 --> 00:44:28,880 Speaker 3: those are now no longer Trump property. I mean, how 859 00:44:29,040 --> 00:44:31,760 Speaker 3: is that going to look? What is what is the future? 860 00:44:31,760 --> 00:44:34,719 Speaker 3: They're going to auction off these Trump buildings. I don't 861 00:44:34,719 --> 00:44:36,040 Speaker 3: know what they think they're going to do, but I 862 00:44:36,080 --> 00:44:39,120 Speaker 3: think we should return to that because you mentioned this. 863 00:44:39,160 --> 00:44:41,600 Speaker 3: Trump's popularity has been going up since they've done this 864 00:44:41,640 --> 00:44:44,000 Speaker 3: to them. I think that this could be another This 865 00:44:44,080 --> 00:44:47,440 Speaker 3: could be another overstep on there. Maybe it trains resources 866 00:44:47,440 --> 00:44:49,560 Speaker 3: from them in a way that hurts. Sure, But I 867 00:44:49,600 --> 00:44:52,520 Speaker 3: do think that it's going to backfire in terms of 868 00:44:52,560 --> 00:44:54,760 Speaker 3: public opinion because this is now. 869 00:44:54,800 --> 00:44:55,600 Speaker 2: It is not the. 870 00:44:55,560 --> 00:44:59,719 Speaker 3: Most hardcore far right people who think that Trump is 871 00:44:59,760 --> 00:45:03,520 Speaker 3: being persecuted, corre Trump is being persecuted. That is happening 872 00:45:03,719 --> 00:45:07,359 Speaker 3: right now. We all see it, no doubt. We'll talk 873 00:45:07,360 --> 00:45:09,160 Speaker 3: about that when we come back. 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Use that promo code radio the 897 00:46:28,560 --> 00:46:30,880 Speaker 1: best way to get yourself set up right now with 898 00:46:30,920 --> 00:46:33,359 Speaker 1: a brand new liberty Safe to protect what you care 899 00:46:33,400 --> 00:46:36,120 Speaker 1: about the most in your home in terms of property 900 00:46:36,239 --> 00:46:38,840 Speaker 1: and possessions and privacy settings. 901 00:46:39,160 --> 00:46:41,759 Speaker 2: Libertysafe dot com slash Radio. 902 00:46:42,480 --> 00:46:46,320 Speaker 1: Twenty four on you podcast from Clay and Buck covering 903 00:46:46,440 --> 00:46:47,520 Speaker 1: all things Election. 904 00:46:47,719 --> 00:46:50,200 Speaker 2: Episodes drop Sundays at noon Eastern. 905 00:46:50,280 --> 00:46:53,120 Speaker 1: Find it on the free iHeartRadio app or wherever you 906 00:46:53,160 --> 00:46:54,319 Speaker 1: get your podcasts. 907 00:46:54,600 --> 00:46:57,920 Speaker 3: Welcome back in here to Clay and Buck and Carol. 908 00:46:58,040 --> 00:47:01,440 Speaker 3: Now Carol Markowitz with a he has the Carol Markowitz Show, 909 00:47:01,760 --> 00:47:03,239 Speaker 3: but you want to listen to it? And I highly 910 00:47:03,280 --> 00:47:06,600 Speaker 3: recommend you, dude. Great lots of folks really enjoying it. 911 00:47:06,600 --> 00:47:08,759 Speaker 3: It's on the Clay and Buck podcast network. So just 912 00:47:09,040 --> 00:47:12,560 Speaker 3: subscribe to Clay and Buck podcast Klay Travis and Buck 913 00:47:12,560 --> 00:47:15,360 Speaker 3: Sexton Show. Carol Markowitz Show will be in that feed 914 00:47:15,440 --> 00:47:18,480 Speaker 3: for your listening enjoyment. Carol is with us now, good 915 00:47:18,480 --> 00:47:18,840 Speaker 3: to talk to. 916 00:47:18,800 --> 00:47:19,560 Speaker 2: You, Carol. How you doing? 917 00:47:20,120 --> 00:47:20,239 Speaker 1: Hi? 918 00:47:20,360 --> 00:47:20,600 Speaker 3: Guys? 919 00:47:20,640 --> 00:47:22,040 Speaker 5: How's it going good? 920 00:47:22,200 --> 00:47:22,439 Speaker 2: Good? 921 00:47:22,480 --> 00:47:24,960 Speaker 3: So tell us you like me or a fellow New 922 00:47:25,000 --> 00:47:28,120 Speaker 3: York City refugee and New York City has been turned 923 00:47:28,120 --> 00:47:31,799 Speaker 3: into an actual refugee camp. And part of that is 924 00:47:31,880 --> 00:47:35,640 Speaker 3: the giving of cash cards to these refugees. Notice how 925 00:47:35,680 --> 00:47:38,080 Speaker 3: they won't use that term, but if they're seeking asylum, 926 00:47:38,200 --> 00:47:40,480 Speaker 3: they are in fact refugees, why won't they just say 927 00:47:40,480 --> 00:47:42,960 Speaker 3: that they've come up with this new, vague, sort of 928 00:47:43,239 --> 00:47:47,000 Speaker 3: catch all migrant term. Anyway, But if they're giving money 929 00:47:47,040 --> 00:47:49,799 Speaker 3: to the refugees, how much, what are the rules? How 930 00:47:49,880 --> 00:47:51,960 Speaker 3: much will it cost? And why should we think it'll 931 00:47:51,960 --> 00:47:53,680 Speaker 3: stop at what the numbers are right now? 932 00:47:54,440 --> 00:47:54,600 Speaker 2: Right? 933 00:47:55,040 --> 00:47:58,160 Speaker 5: So, the story broke that the New York City mayor 934 00:47:58,600 --> 00:48:02,040 Speaker 5: had come up with this plan to give one thousand 935 00:48:02,120 --> 00:48:05,360 Speaker 5: dollars a month to five hundred migrants who are living 936 00:48:05,440 --> 00:48:08,560 Speaker 5: at the Roosevelt's Hotel. It's going to be a pilot program, 937 00:48:08,719 --> 00:48:11,360 Speaker 5: and it's going to start with just those people. And 938 00:48:11,440 --> 00:48:14,360 Speaker 5: the idea that he said was that they were wasting 939 00:48:14,400 --> 00:48:16,279 Speaker 5: a lot of food, the migrants who weren't eating the 940 00:48:16,280 --> 00:48:20,040 Speaker 5: food that was provided to them for free, and so 941 00:48:20,320 --> 00:48:22,120 Speaker 5: this was a better way. This was a way to 942 00:48:22,200 --> 00:48:23,960 Speaker 5: have them buy their own food and deal with their 943 00:48:23,960 --> 00:48:26,799 Speaker 5: food themselves. Okay, as soon as I heard about this, 944 00:48:27,000 --> 00:48:30,480 Speaker 5: I thought, this is a terrible idea. That's just it's 945 00:48:30,480 --> 00:48:34,000 Speaker 5: so wrong. You know, you do the calculations, twelve thousand 946 00:48:34,000 --> 00:48:37,279 Speaker 5: dollars a year times five hundred migrants, that's you know, 947 00:48:37,320 --> 00:48:40,520 Speaker 5: six million dollars, And that's an insane amount of money, right, 948 00:48:40,560 --> 00:48:43,319 Speaker 5: Any New Yorker could easily use twelve an extra twelve 949 00:48:43,360 --> 00:48:46,480 Speaker 5: thousand a year. We have homeless people, we have vets, 950 00:48:46,520 --> 00:48:49,080 Speaker 5: we have single mothers, all of them can use twelve 951 00:48:49,120 --> 00:48:51,840 Speaker 5: thousand dollars. But the thing is, we find out today 952 00:48:51,840 --> 00:48:54,120 Speaker 5: and Nicole Jelinus is column in the New York Post, 953 00:48:54,200 --> 00:48:58,000 Speaker 5: you know, the best newspaper out there, that we wish 954 00:48:58,040 --> 00:49:01,160 Speaker 5: it was six million buck. It's no, we're near six million. 955 00:49:01,280 --> 00:49:04,279 Speaker 5: It's going to be a fifty three million dollar no 956 00:49:04,440 --> 00:49:07,319 Speaker 5: bid contract to some dude you've never heard of, at 957 00:49:07,320 --> 00:49:10,240 Speaker 5: some bank you've never heard of, to print these debit 958 00:49:10,320 --> 00:49:13,160 Speaker 5: cards for the migrants. And the total should be again 959 00:49:13,320 --> 00:49:15,959 Speaker 5: six million, but because they're obviously going to be taking 960 00:49:15,960 --> 00:49:19,200 Speaker 5: a cut, it's a fifty three million dollar contract. And 961 00:49:19,239 --> 00:49:21,440 Speaker 5: the mayor gave it to this man because you met 962 00:49:21,520 --> 00:49:23,239 Speaker 5: him on the campaign trail and you liked him. 963 00:49:23,239 --> 00:49:26,919 Speaker 2: Allegedly, Well, hey, that's good for that guy. 964 00:49:26,960 --> 00:49:28,600 Speaker 1: I guess if you meet him on the campaign trail. 965 00:49:28,640 --> 00:49:30,560 Speaker 1: I'd like to meet people, give me fifty three million 966 00:49:30,600 --> 00:49:33,160 Speaker 1: dollars out on the campaign trail. Carol, I wanted to 967 00:49:33,160 --> 00:49:35,480 Speaker 1: get your read and again I encourage everybody to go 968 00:49:35,560 --> 00:49:37,560 Speaker 1: check out the Carol marco It's podcast as part of 969 00:49:37,560 --> 00:49:42,160 Speaker 1: the Clay and Buck podcast network. Story came out from Sienna. 970 00:49:43,040 --> 00:49:45,960 Speaker 1: We've had this conversation with you. You're from New York, originally 971 00:49:45,960 --> 00:49:50,760 Speaker 1: relocated to Florida, like Buck, Jewish voters in the state 972 00:49:50,800 --> 00:49:55,480 Speaker 1: of New York fifty three to forty four that Ciena 973 00:49:55,520 --> 00:49:58,839 Speaker 1: polls said that they were supporting Trump over Biden. Now, 974 00:49:59,080 --> 00:50:01,160 Speaker 1: as Buck has pointed out and we talked about, there 975 00:50:01,160 --> 00:50:03,080 Speaker 1: are a lot of Orthodox. 976 00:50:02,640 --> 00:50:05,359 Speaker 2: New York Jews who tend to be more conservative. 977 00:50:05,440 --> 00:50:09,960 Speaker 1: Maybe that's not representative of the Jewish population nationwide. But 978 00:50:10,080 --> 00:50:13,360 Speaker 1: when you saw that in the wake of October seventh, 979 00:50:13,440 --> 00:50:15,560 Speaker 1: you know, they tried to say Trump is Hitler, Trump 980 00:50:15,640 --> 00:50:19,120 Speaker 1: is a Nazi for seven years, eight years. Now, are 981 00:50:19,160 --> 00:50:22,040 Speaker 1: you feeling Jewish voters moving? Do you think that's a 982 00:50:22,120 --> 00:50:26,360 Speaker 1: representative of maybe the Jewish electorate being up for grabs 983 00:50:26,360 --> 00:50:26,960 Speaker 1: in a way. 984 00:50:26,800 --> 00:50:29,320 Speaker 2: In twenty twenty four that they never have been before. 985 00:50:29,920 --> 00:50:33,160 Speaker 5: Absolutely, I think the Jewish electorate has been moving rightward 986 00:50:33,239 --> 00:50:35,880 Speaker 5: for a while. It's I've written about it in the past. 987 00:50:35,960 --> 00:50:38,560 Speaker 5: Trump got i think thirty five percent of the Jewish vote. 988 00:50:38,680 --> 00:50:41,239 Speaker 5: Ron DeSantis got forty percent of the Jewish vote in 989 00:50:41,280 --> 00:50:45,120 Speaker 5: his run in Florida. It really depends where. But when 990 00:50:45,120 --> 00:50:47,239 Speaker 5: I saw that those numbers, obviously I'm taking it with 991 00:50:47,280 --> 00:50:49,000 Speaker 5: a green of salt. We don't know what's going to happen. 992 00:50:49,000 --> 00:50:51,480 Speaker 5: I don't feel like the campaign has begun yet where 993 00:50:51,719 --> 00:50:54,040 Speaker 5: the Democrats are going to come after Donald Trump with 994 00:50:54,080 --> 00:50:55,640 Speaker 5: everything they have. He is going to be an you know, 995 00:50:56,080 --> 00:50:59,279 Speaker 5: the interactionist who wants to destroy our democracy, and he's 996 00:50:59,280 --> 00:51:01,279 Speaker 5: going to be painted as anti semi and all of 997 00:51:01,320 --> 00:51:04,319 Speaker 5: these things. So we'll see where these numbers really end up. 998 00:51:04,360 --> 00:51:07,280 Speaker 5: But I think Jews have been moving rightward for a while. 999 00:51:08,239 --> 00:51:10,279 Speaker 5: Of course it's the Orthodox that are leading the way 1000 00:51:10,320 --> 00:51:14,120 Speaker 5: on this. It's it's the same as in non Jewish population. 1001 00:51:14,280 --> 00:51:15,960 Speaker 5: If you're if you go to church, you're more likely 1002 00:51:16,000 --> 00:51:18,040 Speaker 5: to vote Republican. If you if you go to synagogue, 1003 00:51:18,040 --> 00:51:21,240 Speaker 5: you're more likely to vote Republican. So what's really happening 1004 00:51:21,520 --> 00:51:23,800 Speaker 5: is a secular Jews who would be the Democrats. The 1005 00:51:23,840 --> 00:51:26,000 Speaker 5: Woody Allen Jew that you kind of think of when 1006 00:51:26,040 --> 00:51:28,240 Speaker 5: you think of a New York Jew are really breeding 1007 00:51:28,280 --> 00:51:30,440 Speaker 5: themselves out of existence? They don't. They're not having as 1008 00:51:30,440 --> 00:51:31,960 Speaker 5: many children that are out of it, having as many 1009 00:51:32,040 --> 00:51:34,720 Speaker 5: Jewish children. There's this joke, you know, what's the difference 1010 00:51:34,760 --> 00:51:37,759 Speaker 5: between a secular Jew and Donald Trump? He has Jewish grandchildren. 1011 00:51:39,239 --> 00:51:41,319 Speaker 2: That is a great That is a great joke. Yeah, 1012 00:51:41,360 --> 00:51:41,839 Speaker 2: that's good. 1013 00:51:42,800 --> 00:51:44,719 Speaker 5: So that's where we are. And I think that we're 1014 00:51:44,719 --> 00:51:46,640 Speaker 5: going to see a shift. I hope it's that big, 1015 00:51:46,680 --> 00:51:49,320 Speaker 5: but I you know, I'm I'm counting on small moves 1016 00:51:49,360 --> 00:51:51,720 Speaker 5: for now and hoping it trends in the right direction. 1017 00:51:52,360 --> 00:51:56,360 Speaker 3: You think that some of the issues Carol around around 1018 00:51:56,360 --> 00:51:59,279 Speaker 3: parents and parenting stuff, and we're running the whole We're 1019 00:51:59,320 --> 00:52:01,920 Speaker 3: running whole cycle. We got Carol on New York City, 1020 00:52:02,200 --> 00:52:05,440 Speaker 3: on the Jewish vote, and now on mom stuff. So, 1021 00:52:06,120 --> 00:52:08,160 Speaker 3: you know, because it seemed like such a big issue, 1022 00:52:08,200 --> 00:52:13,680 Speaker 3: you know, we still see higha from libs of TikTok 1023 00:52:14,040 --> 00:52:17,480 Speaker 3: doing what she does and showing the indoctrination programs ongoing. 1024 00:52:17,880 --> 00:52:21,880 Speaker 3: I feel like has the left they haven't stopped this stuff, 1025 00:52:21,920 --> 00:52:25,279 Speaker 3: but are they less aggressively in our faces about what 1026 00:52:25,320 --> 00:52:27,880 Speaker 3: they want to how they want to indoctrinate kids, you know, 1027 00:52:27,960 --> 00:52:30,439 Speaker 3: because it feels like we're not talking about it very much. 1028 00:52:30,440 --> 00:52:33,560 Speaker 3: And to me the electorate, that's a sixty forty, maybe 1029 00:52:33,560 --> 00:52:35,960 Speaker 3: seventy thirty, maybe even higher issue on a lot of 1030 00:52:35,960 --> 00:52:36,480 Speaker 3: this stuff. 1031 00:52:37,040 --> 00:52:38,719 Speaker 5: For a lot of it, it is. But I have 1032 00:52:38,840 --> 00:52:41,520 Speaker 5: to say that Republicans just don't fight back in the 1033 00:52:41,560 --> 00:52:44,799 Speaker 5: same way. So, for example, the porn in school libraries 1034 00:52:44,840 --> 00:52:49,040 Speaker 5: conversation that should be a complete win for Republicans has 1035 00:52:49,080 --> 00:52:51,840 Speaker 5: started to pull badly for us. For the voice of 1036 00:52:51,880 --> 00:52:55,200 Speaker 5: sanity who don't want pornography in their children's school library, 1037 00:52:55,520 --> 00:52:58,720 Speaker 5: that's no longer a winning issue somehow, because they've painted 1038 00:52:58,800 --> 00:53:00,960 Speaker 5: us as book burners and oh, you know, if you 1039 00:53:00,960 --> 00:53:03,880 Speaker 5: don't want pornographic images and you want to get rid of, 1040 00:53:03,920 --> 00:53:06,399 Speaker 5: you know, classics, and obviously it's all ridiculous. But there's 1041 00:53:06,440 --> 00:53:09,600 Speaker 5: no real fight back, and a lot of you know, 1042 00:53:09,600 --> 00:53:11,120 Speaker 5: a lot of the groups are fighting back, but I 1043 00:53:11,120 --> 00:53:13,120 Speaker 5: think that the Party does not do a good job 1044 00:53:13,239 --> 00:53:16,960 Speaker 5: of mounting the attacks back. I also there was a 1045 00:53:17,000 --> 00:53:21,040 Speaker 5: story in Free Press today about a Brooklyn public school 1046 00:53:21,040 --> 00:53:23,600 Speaker 5: in my old neighborhood of Park Slope that the parents 1047 00:53:23,600 --> 00:53:25,520 Speaker 5: they had a snow day and the parents found out 1048 00:53:25,560 --> 00:53:29,280 Speaker 5: that they were giving out coloring books BLM coloring books 1049 00:53:29,280 --> 00:53:30,960 Speaker 5: to their kids. And they only found out because it 1050 00:53:31,000 --> 00:53:32,400 Speaker 5: was a snow day and the kids were home and 1051 00:53:32,400 --> 00:53:35,160 Speaker 5: they had the coloring books with them. So this is 1052 00:53:35,200 --> 00:53:37,880 Speaker 5: still being pushed in all of our schools. We just 1053 00:53:37,920 --> 00:53:41,560 Speaker 5: don't always know about it. Insidiousness is really a large 1054 00:53:41,600 --> 00:53:43,319 Speaker 5: part of it. I wrote about this in my book 1055 00:53:43,360 --> 00:53:47,120 Speaker 5: Still in Use. It's they know that most parents will 1056 00:53:47,120 --> 00:53:49,480 Speaker 5: not want their kids in doctrinated, even the far left 1057 00:53:49,480 --> 00:53:52,719 Speaker 5: ones won't want it coming from the school necessarily, and 1058 00:53:52,800 --> 00:53:56,000 Speaker 5: so they do it really quietly, really secretly. And parents 1059 00:53:56,120 --> 00:53:57,520 Speaker 5: need to stay on top of what their kids are 1060 00:53:57,520 --> 00:54:00,719 Speaker 5: getting in school, otherwise they're going to be definitely susceptible 1061 00:54:00,800 --> 00:54:03,040 Speaker 5: to getting BLM colored and books. 1062 00:54:03,280 --> 00:54:05,680 Speaker 1: They better be careful with what those kids color the 1063 00:54:05,680 --> 00:54:08,840 Speaker 1: people in the BLM coloring books, because God forbid you 1064 00:54:09,239 --> 00:54:17,359 Speaker 1: misgender or mis miscolor an individual in the BLM coloring book. Carol, Yeah, 1065 00:54:17,640 --> 00:54:19,759 Speaker 1: we're talking. Buck and I have been a lot and 1066 00:54:19,800 --> 00:54:23,279 Speaker 1: we took some calls on this. If you look at 1067 00:54:23,280 --> 00:54:28,120 Speaker 1: the data, men are overwhelmingly voting, if assuming it's Trump 1068 00:54:28,160 --> 00:54:31,920 Speaker 1: v Biden for Trump, men if only male voters were involved, 1069 00:54:32,000 --> 00:54:34,640 Speaker 1: Trump would win. And I'm not even kidding about this 1070 00:54:34,920 --> 00:54:38,800 Speaker 1: that arguably Trump would win all fifty states if only 1071 00:54:38,880 --> 00:54:42,360 Speaker 1: women voted, Biden might win fifty states. I mean this, 1072 00:54:42,480 --> 00:54:45,000 Speaker 1: we're talking about one of the biggest gender divides that 1073 00:54:45,040 --> 00:54:48,680 Speaker 1: we've ever seen. So, Carol, when you look at this, 1074 00:54:49,880 --> 00:54:53,440 Speaker 1: does who Trump picks his VP matter if it's a woman? 1075 00:54:53,960 --> 00:54:55,680 Speaker 2: How can Trump cut. 1076 00:54:55,360 --> 00:54:58,239 Speaker 1: Into what is going to be a huge advantage for 1077 00:54:58,320 --> 00:55:01,440 Speaker 1: Biden in your mind when it comes to female voters. 1078 00:55:02,120 --> 00:55:04,200 Speaker 5: It's just it's so tough because, like I said, that, 1079 00:55:04,400 --> 00:55:07,680 Speaker 5: the campaign against him has not truly begun yet, and 1080 00:55:07,719 --> 00:55:09,359 Speaker 5: I think when it does, we're going to see some, 1081 00:55:09,480 --> 00:55:13,120 Speaker 5: you know, serious attacks on him. I think the abortion 1082 00:55:13,200 --> 00:55:15,400 Speaker 5: thing is going to be big for the suburban, you know, 1083 00:55:15,440 --> 00:55:18,080 Speaker 5: women voters. But I think a lot of the comments 1084 00:55:18,080 --> 00:55:19,960 Speaker 5: that he's made over the years, all of that's going 1085 00:55:20,000 --> 00:55:22,120 Speaker 5: to be playing in our faces over and over again. 1086 00:55:22,719 --> 00:55:26,919 Speaker 5: In theory of female vice presidential pick should maybe help, 1087 00:55:27,080 --> 00:55:29,399 Speaker 5: but I don't see it necessarily being the case here 1088 00:55:29,440 --> 00:55:32,840 Speaker 5: because of these liberal women are very good at compartmentalizing 1089 00:55:33,040 --> 00:55:36,440 Speaker 5: conservative women into being not really women, not really the 1090 00:55:36,520 --> 00:55:38,480 Speaker 5: kind of women that we want. So I don't think 1091 00:55:38,760 --> 00:55:41,240 Speaker 5: it could be no or at least dephonic or whatever. 1092 00:55:41,280 --> 00:55:43,480 Speaker 5: I don't think any any of these kind of left 1093 00:55:43,560 --> 00:55:46,600 Speaker 5: leaning suburban women are going to look at them and say, oh, 1094 00:55:46,680 --> 00:55:49,040 Speaker 5: you know that he picked a woman, therefore I'm going 1095 00:55:49,120 --> 00:55:53,320 Speaker 5: to vote for him. I wonder if he picks Nikky Haley, 1096 00:55:53,400 --> 00:55:56,760 Speaker 5: if he picks up more kind of Republican leaning women 1097 00:55:56,800 --> 00:55:59,399 Speaker 5: who would maybe go out for him if he had 1098 00:55:59,400 --> 00:56:02,120 Speaker 5: a woman as is VP. I'm not so sure. I 1099 00:56:02,160 --> 00:56:04,160 Speaker 5: don't know. I think he should pick the candidate that 1100 00:56:04,200 --> 00:56:07,200 Speaker 5: he thinks would be best to take over should anything happen. 1101 00:56:07,800 --> 00:56:09,919 Speaker 5: I think that's what we should be doing in all 1102 00:56:10,000 --> 00:56:13,000 Speaker 5: facets of our lives. Perhaps we shouldn't be doing, you know, 1103 00:56:13,040 --> 00:56:16,399 Speaker 5: this demographic thing that we keep doing. We end up with, 1104 00:56:16,480 --> 00:56:18,640 Speaker 5: you know, the Kamala Harrises of the world as our VP. 1105 00:56:19,400 --> 00:56:22,120 Speaker 5: Perhaps we should choose based on merit. I know that's 1106 00:56:22,160 --> 00:56:24,240 Speaker 5: a that's not crazy. 1107 00:56:24,320 --> 00:56:27,400 Speaker 3: This is a lot of wisdom, and I love all 1108 00:56:27,480 --> 00:56:29,480 Speaker 3: of it, by the way, because first of all, I 1109 00:56:29,520 --> 00:56:32,480 Speaker 3: totally agree with you. I don't think that we're conservative. 1110 00:56:32,560 --> 00:56:35,280 Speaker 3: So there's a problem that you've identified I keep talking 1111 00:56:35,280 --> 00:56:38,799 Speaker 3: about here on the show, and it is that Conservatives 1112 00:56:38,800 --> 00:56:41,480 Speaker 3: don't get credit for DEI. It doesn't matter. If you 1113 00:56:41,520 --> 00:56:43,080 Speaker 3: have a black vice president, you're not going to win 1114 00:56:43,120 --> 00:56:44,880 Speaker 3: more black votes. If you have a female vice president, 1115 00:56:44,880 --> 00:56:47,759 Speaker 3: you're not going to win more We keep doing this, 1116 00:56:48,200 --> 00:56:50,040 Speaker 3: and it's a little weird because on the one hand, 1117 00:56:50,080 --> 00:56:52,440 Speaker 3: conservatives say it's about the person, not the color of 1118 00:56:52,440 --> 00:56:54,560 Speaker 3: their skin, not their gender, not any of those things. 1119 00:56:54,800 --> 00:56:57,239 Speaker 3: But then we play that game too sometimes because we 1120 00:56:57,280 --> 00:57:00,760 Speaker 3: think somewhat cynically, oh, we can benefit for it as well, 1121 00:57:01,040 --> 00:57:03,560 Speaker 3: and we don't, and we kind of undersell our own 1122 00:57:03,600 --> 00:57:04,279 Speaker 3: principle with that. 1123 00:57:04,360 --> 00:57:04,520 Speaker 2: Right. 1124 00:57:04,520 --> 00:57:06,560 Speaker 3: It's like, if there's a you know, a black female 1125 00:57:06,640 --> 00:57:10,160 Speaker 3: vice president who's the best Republican for the job, it 1126 00:57:10,239 --> 00:57:12,880 Speaker 3: shouldn't be because of the fact that she's a black female. 1127 00:57:12,920 --> 00:57:14,520 Speaker 3: It should be because we think she's the best. So 1128 00:57:14,600 --> 00:57:17,080 Speaker 3: it doesn't matter, right, But I think we get away 1129 00:57:17,120 --> 00:57:18,240 Speaker 3: from that far too easily. 1130 00:57:18,760 --> 00:57:21,800 Speaker 5: Absolutely. And look, you know, Republicans have picked up more 1131 00:57:21,920 --> 00:57:23,919 Speaker 5: Hispanic voters in last fe years. They picked up again 1132 00:57:24,000 --> 00:57:26,440 Speaker 5: more Jewish voters, they picked up more Asian voters, and 1133 00:57:26,480 --> 00:57:30,360 Speaker 5: they haven't had a Hispanic presidential candidate or Asian presidential 1134 00:57:30,360 --> 00:57:34,280 Speaker 5: candidate or whatever. It hasn't mattered. They they've earned these 1135 00:57:34,360 --> 00:57:37,040 Speaker 5: votes in other ways, not saying like, look, I'm going 1136 00:57:37,120 --> 00:57:40,480 Speaker 5: to pick a diversity higher and look, this person you 1137 00:57:40,480 --> 00:57:42,440 Speaker 5: know looks like you, therefore you should vote for them. 1138 00:57:42,440 --> 00:57:44,560 Speaker 5: That's just not how it works, Carol. 1139 00:57:44,640 --> 00:57:46,280 Speaker 1: On the way out, I think I made fun of 1140 00:57:46,320 --> 00:57:49,440 Speaker 1: your Dallas Cowboys last time, and afterwards you said your 1141 00:57:49,440 --> 00:57:51,600 Speaker 1: son wanted to fire back at me, So on the 1142 00:57:51,600 --> 00:57:53,520 Speaker 1: biggest radio show in the country, I will give you 1143 00:57:53,560 --> 00:57:56,920 Speaker 1: an opportunity to allow your son to take shots at 1144 00:57:56,960 --> 00:57:58,440 Speaker 1: my favorite teams. 1145 00:57:58,480 --> 00:57:59,560 Speaker 2: So the fire away. 1146 00:58:00,080 --> 00:58:01,960 Speaker 5: Yeah, so my eight year olds, I said, you know, 1147 00:58:02,200 --> 00:58:04,800 Speaker 5: Clay Travis made fun of the Cowboys not being at 1148 00:58:04,800 --> 00:58:06,320 Speaker 5: the Super Bowl, and he said who is his team? 1149 00:58:06,320 --> 00:58:08,400 Speaker 5: And I said, I think it's the Titans. And he said, 1150 00:58:08,440 --> 00:58:10,960 Speaker 5: a Titans fan is making fun of us. 1151 00:58:10,720 --> 00:58:13,400 Speaker 2: Which you know, it's a good response. I mean your 1152 00:58:13,440 --> 00:58:15,440 Speaker 2: eight year old, I mean he dunked on me. He 1153 00:58:15,560 --> 00:58:16,120 Speaker 2: dunked on me. 1154 00:58:16,160 --> 00:58:18,440 Speaker 1: So I wanted to give you a chance congratulate your 1155 00:58:18,440 --> 00:58:21,120 Speaker 1: eight year old. I you know, there was a study 1156 00:58:21,160 --> 00:58:24,440 Speaker 1: out recently, Carol, my friend Jacob Olman at Fox Sports 1157 00:58:24,480 --> 00:58:27,600 Speaker 1: sent me that said that Tennessee Titans fans drink more 1158 00:58:27,640 --> 00:58:30,240 Speaker 1: than any other NFL fan base, and I said, you 1159 00:58:30,240 --> 00:58:31,200 Speaker 1: know what, I can see it. 1160 00:58:31,920 --> 00:58:35,120 Speaker 2: I'm guilty as charged. We lose a lot. 1161 00:58:35,480 --> 00:58:38,160 Speaker 3: Subscribe to the Carol Markowitz podcast by subscribing to the 1162 00:58:38,160 --> 00:58:40,560 Speaker 3: Clay Travison Buck Section Show podcast and then go listen 1163 00:58:40,600 --> 00:58:41,520 Speaker 3: to Carol on demand. 1164 00:58:41,600 --> 00:58:42,840 Speaker 2: Carol, great to have you here. 1165 00:58:43,080 --> 00:58:44,560 Speaker 5: Thanks guys, thank you. 1166 00:58:45,120 --> 00:58:47,880 Speaker 2: She's always good. Buck, I'm not kidding. 1167 00:58:48,800 --> 00:58:52,960 Speaker 1: The Tennessee Titans fan base was ranked as the biggest 1168 00:58:53,040 --> 00:58:56,000 Speaker 1: drinking fan base in the entirety of the NFL. 1169 00:58:56,400 --> 00:58:57,800 Speaker 2: And I looked at this list. 1170 00:58:58,000 --> 00:59:01,680 Speaker 1: My my buddy, Jacob Olman sent to me he's been 1171 00:59:01,680 --> 00:59:04,760 Speaker 1: at Fox Sports for a long time, and I said, 1172 00:59:04,760 --> 00:59:07,400 Speaker 1: you know what, this makes a decent amount of sense. 1173 00:59:07,520 --> 00:59:09,360 Speaker 2: It's the Titans, It's. 1174 00:59:09,240 --> 00:59:13,160 Speaker 1: The Steelers, the Colts, the Falcons, and the Saints are 1175 00:59:13,560 --> 00:59:17,080 Speaker 1: the biggest drinking fan base is in America. Now, there 1176 00:59:17,160 --> 00:59:19,840 Speaker 1: are a lot of Southerners on that list. 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