1 00:00:00,160 --> 00:00:03,400 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,440 --> 00:00:04,720 Speaker 1: Sexton Show podcast. 3 00:00:05,240 --> 00:00:08,240 Speaker 2: Second hour of Clay and Buck kicks off right now. 4 00:00:08,320 --> 00:00:13,360 Speaker 2: We had mentioned Disney to you before, and if you've 5 00:00:13,400 --> 00:00:15,560 Speaker 2: been holding Disney stock for the last decade or so, 6 00:00:15,720 --> 00:00:19,840 Speaker 2: hasn't really been a very good investment. Went up for 7 00:00:19,840 --> 00:00:22,759 Speaker 2: a bit during COVID when everybody was screaming everything, but 8 00:00:22,920 --> 00:00:25,880 Speaker 2: now things have started to come back down a bit, 9 00:00:26,040 --> 00:00:30,319 Speaker 2: and seems a part of it is that Disney is 10 00:00:30,400 --> 00:00:35,200 Speaker 2: a woke company from the top down, from a content perspective. 11 00:00:35,880 --> 00:00:40,319 Speaker 3: I'm sure from an HR perspective as well. 12 00:00:39,479 --> 00:00:41,920 Speaker 2: Although you are starting to see this isn't a side, 13 00:00:42,360 --> 00:00:45,720 Speaker 2: but you are starting to see some people are concerned 14 00:00:45,760 --> 00:00:50,960 Speaker 2: that the diversity hiring practices of their company may subject 15 00:00:51,000 --> 00:00:55,560 Speaker 2: them to possible lawsuit for discrimination in the aftermath of 16 00:00:55,640 --> 00:00:58,480 Speaker 2: the Supreme Court decision. That's going to take some time 17 00:00:58,520 --> 00:01:01,640 Speaker 2: to play out, but we're still watching that. But regardless 18 00:01:01,640 --> 00:01:05,880 Speaker 2: of their HR policies, Disney is a woke content creator. 19 00:01:05,959 --> 00:01:09,919 Speaker 2: Now we've seen this. We're we're watching this play out 20 00:01:10,480 --> 00:01:15,160 Speaker 2: time and again. The recent Disney movies that we've seen 21 00:01:15,200 --> 00:01:20,760 Speaker 2: that have particularly woke have not done well. I believe 22 00:01:21,520 --> 00:01:24,520 Speaker 2: I think I saw was this. Libs of TikTok shared 23 00:01:24,520 --> 00:01:27,920 Speaker 2: this one. I had Hia Rychick, who's the Libs of 24 00:01:28,000 --> 00:01:32,880 Speaker 2: TikTok founder. She was on the Clay Unpuck podcast this week, 25 00:01:32,920 --> 00:01:35,520 Speaker 2: which if you didn't hear it, you should check it 26 00:01:35,560 --> 00:01:38,880 Speaker 2: out by subscribing to Theklay Travison Buck Sexton Show podcast. 27 00:01:39,120 --> 00:01:41,039 Speaker 2: But she put out some numbers. I'll here you go, 28 00:01:42,560 --> 00:01:47,200 Speaker 2: new diverse, snow White, and the Seven Dwarfs movie has 29 00:01:47,240 --> 00:01:50,160 Speaker 2: only one dwarf and snow White is Hispanic. This is 30 00:01:50,240 --> 00:01:53,680 Speaker 2: Libs of TikTok writing. Disney says they want to avoid 31 00:01:53,800 --> 00:01:59,120 Speaker 2: reinforcing stereotypes. Disney lost nine hundred million dollars on their 32 00:01:59,200 --> 00:02:03,560 Speaker 2: last eight theatrical releases. I guess they're not done losing 33 00:02:03,720 --> 00:02:10,160 Speaker 2: money yet. Play This is interesting to me because, first off, 34 00:02:10,760 --> 00:02:15,600 Speaker 2: you had the argument made, and I believe Peter Dinklage 35 00:02:16,160 --> 00:02:19,560 Speaker 2: was publicly he's the Game of Thrones actor who is 36 00:02:19,600 --> 00:02:24,079 Speaker 2: a little person suffers from the condition of or I 37 00:02:24,120 --> 00:02:27,799 Speaker 2: should say, is somebody who has the condition of dwarf ism. 38 00:02:28,360 --> 00:02:30,400 Speaker 2: But he had made the case that the story was 39 00:02:30,440 --> 00:02:35,959 Speaker 2: really backwards and ridiculous. There are some this is based 40 00:02:35,960 --> 00:02:38,360 Speaker 2: on the early release photos of the movie that's going 41 00:02:38,400 --> 00:02:41,079 Speaker 2: to come out in March of twenty twenty four. Everyone 42 00:02:41,080 --> 00:02:44,639 Speaker 2: now is now standard height except for one. There's one 43 00:02:44,720 --> 00:02:48,880 Speaker 2: dwarf in snow White and the seven dwarves, and. 44 00:02:49,680 --> 00:02:53,600 Speaker 3: What about the other dwarf actors? What about people? 45 00:02:53,600 --> 00:02:56,960 Speaker 2: For who is you know, it's fascinating. Peter Dinklage played 46 00:02:57,639 --> 00:03:02,080 Speaker 2: a dwarf in Game of Thrones. Obviously is also somebody 47 00:03:02,120 --> 00:03:08,080 Speaker 2: who is a dwarf and it was probably the most 48 00:03:08,440 --> 00:03:10,680 Speaker 2: you know, say it was him, and it was for 49 00:03:10,720 --> 00:03:12,960 Speaker 2: those of you who watched the show Rob Stark, but 50 00:03:13,240 --> 00:03:16,280 Speaker 2: for a few seasons there, Peter Dinklish plays the most 51 00:03:16,280 --> 00:03:19,600 Speaker 2: sympathetic and most beloved character on the show, probably right 52 00:03:20,160 --> 00:03:24,800 Speaker 2: breakthrough role of his of a lifetime on a show 53 00:03:24,880 --> 00:03:27,680 Speaker 2: that had at one point had over ten million people. 54 00:03:27,680 --> 00:03:29,640 Speaker 2: I think it got close to like fifteen million people 55 00:03:29,680 --> 00:03:33,720 Speaker 2: watching Game of throw over twenty million over twenty yeah, yeah, 56 00:03:34,040 --> 00:03:38,200 Speaker 2: so a massive, massive success. Can you imagine if you're 57 00:03:38,200 --> 00:03:40,640 Speaker 2: an actor in Hollywood and you are a dwarf and 58 00:03:40,920 --> 00:03:44,280 Speaker 2: this this opportunity comes up, and it's oh no, now 59 00:03:44,600 --> 00:03:49,120 Speaker 2: to not reinforce stereotypes, we're going to have like average 60 00:03:49,160 --> 00:03:53,600 Speaker 2: height people playing the dwarves. I mean, why is that 61 00:03:53,680 --> 00:03:54,760 Speaker 2: a better approach to this? 62 00:03:54,920 --> 00:03:55,040 Speaker 4: Right? 63 00:03:55,120 --> 00:03:57,120 Speaker 3: All the dwarves are the good guys. The dwarves are 64 00:03:57,160 --> 00:03:57,880 Speaker 3: heroes in this. 65 00:03:58,440 --> 00:04:01,800 Speaker 4: Also, what is the stereotpe type about dwarves from Snow White? 66 00:04:02,480 --> 00:04:04,880 Speaker 4: I mean, first of all, it's a fairy tale, let's 67 00:04:04,920 --> 00:04:10,320 Speaker 4: begin here. Second, there are seven different, if I remember correctly, 68 00:04:10,840 --> 00:04:14,760 Speaker 4: personalities in the Dwarves. If the Dwarfs all had the 69 00:04:14,880 --> 00:04:19,279 Speaker 4: same personality, that would be the stereotype, right, Instead there 70 00:04:19,440 --> 00:04:23,520 Speaker 4: was grumpy happy. I mean, this is a kid's show, right, 71 00:04:25,080 --> 00:04:29,280 Speaker 4: isotype dwarves are short? Because I think that that's that's 72 00:04:29,400 --> 00:04:32,240 Speaker 4: just I don't think that's a stereotype. That's what I'm saying, Like, 73 00:04:32,279 --> 00:04:35,320 Speaker 4: what is what is the stereotype in Snow White? In fact, 74 00:04:35,360 --> 00:04:40,440 Speaker 4: there are seven different character Now they're obviously like broadly 75 00:04:40,600 --> 00:04:44,159 Speaker 4: construed because it's a kid's movie. But the idea is 76 00:04:44,240 --> 00:04:47,279 Speaker 4: the dwarves are not all similar. In fact, they all 77 00:04:47,279 --> 00:04:51,559 Speaker 4: have distinct personality types. But this is to me buck 78 00:04:51,960 --> 00:04:57,520 Speaker 4: emblematic of why Disney is collapsing because Bob Iger, the 79 00:04:57,560 --> 00:05:02,040 Speaker 4: CEO of Disney, has allowed the woke virus to spread 80 00:05:02,440 --> 00:05:06,880 Speaker 4: so deeply throughout the entire company. If Walt Disney were 81 00:05:06,920 --> 00:05:11,080 Speaker 4: still alive today, he would lose his mind. And I 82 00:05:11,160 --> 00:05:13,680 Speaker 4: want to play. We've got a couple of cuts. Bob 83 00:05:13,720 --> 00:05:18,800 Speaker 4: Iger set down yesterday on CNBC and he was directly 84 00:05:18,839 --> 00:05:22,640 Speaker 4: asked about let's just lay out what's going on. Theme 85 00:05:22,720 --> 00:05:26,520 Speaker 4: Park attendance hit a decade low. According to The Wall 86 00:05:26,520 --> 00:05:29,919 Speaker 4: Street Journal on July fourth, the Pixar movie that just 87 00:05:30,000 --> 00:05:33,719 Speaker 4: came out is the lowest grossing Pixar movie of all time. 88 00:05:34,320 --> 00:05:39,000 Speaker 4: Disney Plus is losing subscribers. ESPN, which is owned by Disney, 89 00:05:39,080 --> 00:05:43,840 Speaker 4: is hemorrhaging subscribers. All of these are super woke companies now, 90 00:05:44,240 --> 00:05:47,080 Speaker 4: and Bob Iger said, the idea that we are trying 91 00:05:47,120 --> 00:05:51,120 Speaker 4: to sexualize children's entertainment is preposterous. I believe is what 92 00:05:51,200 --> 00:05:53,360 Speaker 4: he said. I want to play that cut, and then 93 00:05:53,400 --> 00:05:55,640 Speaker 4: I want to play you. I believe this is from 94 00:05:55,680 --> 00:05:58,839 Speaker 4: the DeSantis team. They put out clips of all of 95 00:05:58,880 --> 00:06:03,080 Speaker 4: these top Disney execsecutives talking about their desire to directly 96 00:06:03,200 --> 00:06:05,400 Speaker 4: sexualize children's programming. 97 00:06:05,440 --> 00:06:05,920 Speaker 3: Listen to this. 98 00:06:06,160 --> 00:06:09,400 Speaker 4: The notion that Disney is in any way sexualizing children. 99 00:06:09,600 --> 00:06:13,000 Speaker 4: Quite frankly, this is preposterous and inaccurate. 100 00:06:14,040 --> 00:06:15,920 Speaker 3: Okay, that is what he said. Buck. 101 00:06:16,080 --> 00:06:21,520 Speaker 4: Now listen to top Disney creative executives talking about their 102 00:06:21,560 --> 00:06:27,320 Speaker 4: desire to sexualize Disney content in internal company conversations. 103 00:06:27,360 --> 00:06:27,960 Speaker 3: Just listen to this. 104 00:06:28,160 --> 00:06:31,760 Speaker 5: Hello and welcome to the Disney Plus this is me 105 00:06:32,040 --> 00:06:35,680 Speaker 5: Pride Celebration Spectacular. Our leadership over there has been so 106 00:06:36,279 --> 00:06:39,760 Speaker 5: welcoming to like my like not at all secret gay agendas. 107 00:06:39,760 --> 00:06:42,240 Speaker 3: They've been really open to exploring queer stories. 108 00:06:42,279 --> 00:06:44,599 Speaker 5: I'm on the production side and so kind of the 109 00:06:44,680 --> 00:06:48,680 Speaker 5: only way to have these like canonical trans characters, canonical 110 00:06:48,720 --> 00:06:53,800 Speaker 5: asexual characters, canonical bisexual characters, is to give them stories 111 00:06:53,800 --> 00:06:55,920 Speaker 5: where they can like be their whole selves. 112 00:06:56,080 --> 00:06:58,520 Speaker 2: So we no longer say ladies and gentlemen, boys and girls, 113 00:06:58,680 --> 00:06:59,880 Speaker 2: it's hello everyone or hello. 114 00:07:00,440 --> 00:07:03,240 Speaker 5: So we were targeting gen Z and millennials, we were 115 00:07:03,279 --> 00:07:06,680 Speaker 5: targeting a younger contents, going to kids who don't know 116 00:07:06,920 --> 00:07:07,440 Speaker 5: any of this. 117 00:07:08,920 --> 00:07:13,320 Speaker 2: So okay, they're obviously I mean, there's there's a huge 118 00:07:13,360 --> 00:07:15,880 Speaker 2: disconnect with what Iger says and what the reality is. 119 00:07:16,400 --> 00:07:20,040 Speaker 2: But I think it's it's worth noting. How is it 120 00:07:20,080 --> 00:07:23,760 Speaker 2: that they can speak in their minds these different individuals 121 00:07:23,800 --> 00:07:26,600 Speaker 2: and the head of creative at Disney, who was talking 122 00:07:26,640 --> 00:07:30,760 Speaker 2: about her pant sexual and and and I don't know 123 00:07:30,800 --> 00:07:34,240 Speaker 2: if it was a pant sexual and transsect and transgender 124 00:07:34,440 --> 00:07:37,280 Speaker 2: or you know, there were like two or non non 125 00:07:37,320 --> 00:07:39,360 Speaker 2: binary and pant sexual. You know, she has like an 126 00:07:39,400 --> 00:07:40,680 Speaker 2: eight year old and a ten year old. She says, 127 00:07:40,720 --> 00:07:42,880 Speaker 2: they just happened to be. What are the chances? 128 00:07:42,960 --> 00:07:43,120 Speaker 3: Right? 129 00:07:43,280 --> 00:07:45,120 Speaker 2: And you see this and people are pointing this out too, 130 00:07:45,120 --> 00:07:49,880 Speaker 2: with some Hollywood celebrity women who suddenly have three children 131 00:07:49,880 --> 00:07:52,440 Speaker 2: who are transgender, who are like age three, five, and nine. 132 00:07:52,440 --> 00:07:54,720 Speaker 2: You're like, well, is that you or is that the 133 00:07:54,800 --> 00:07:58,320 Speaker 2: kids always pushing right? It's efficol, of course, it's always them. 134 00:07:58,760 --> 00:08:01,520 Speaker 2: But I think that this is where this is where 135 00:08:01,520 --> 00:08:04,960 Speaker 2: this is all going to go. The people who buy 136 00:08:05,040 --> 00:08:08,120 Speaker 2: into this, really this religion of gender identity, which is 137 00:08:08,120 --> 00:08:10,520 Speaker 2: what it has become. It's a belief system unto itself. 138 00:08:11,920 --> 00:08:18,240 Speaker 2: They think that telling a seven year old about being cisgender, 139 00:08:18,440 --> 00:08:23,800 Speaker 2: non binary, transgender and all this stuff, that's not sexualizing 140 00:08:24,000 --> 00:08:29,559 Speaker 2: children because that's inherent at birth to these kids, which 141 00:08:29,600 --> 00:08:33,800 Speaker 2: is crazy, but that's what they in their minds. Oh, 142 00:08:33,840 --> 00:08:36,600 Speaker 2: we're just helping them be what they are at a 143 00:08:36,640 --> 00:08:39,520 Speaker 2: younger age. What I think, though, is important for the 144 00:08:41,120 --> 00:08:44,600 Speaker 2: you know, the the non LGBTQ plus activity like just 145 00:08:44,720 --> 00:08:49,719 Speaker 2: people out there to remember is heterosexual couples and and 146 00:08:49,440 --> 00:08:54,200 Speaker 2: and others don't expose their children at age six and seven. 147 00:08:54,280 --> 00:08:56,480 Speaker 2: Like nobody was talking to me about sex when I 148 00:08:56,520 --> 00:08:59,000 Speaker 2: was seven years old, about gender, about anything. 149 00:08:59,520 --> 00:09:01,080 Speaker 3: They were just letting me be right. 150 00:09:01,800 --> 00:09:04,240 Speaker 2: So they're the ones that put this stuff on the 151 00:09:04,320 --> 00:09:07,480 Speaker 2: kids that are younger and younger age. But they think 152 00:09:07,559 --> 00:09:13,360 Speaker 2: that they're doing something that isn't inherently sexualizing children because 153 00:09:13,360 --> 00:09:15,560 Speaker 2: they just assume that there are different rules for what 154 00:09:15,679 --> 00:09:16,200 Speaker 2: they're doing. 155 00:09:16,640 --> 00:09:17,360 Speaker 3: You see what I mean? 156 00:09:17,600 --> 00:09:20,400 Speaker 2: Like yeah, like you know, people listening to this would 157 00:09:20,400 --> 00:09:23,600 Speaker 2: not have the conversations with their six year old about 158 00:09:24,000 --> 00:09:26,800 Speaker 2: where babies come from for example, like that people wait 159 00:09:26,840 --> 00:09:28,520 Speaker 2: till they get older, like we all know this, the 160 00:09:28,520 --> 00:09:33,280 Speaker 2: birds and the bees, all that stuff. This activist community 161 00:09:33,320 --> 00:09:36,840 Speaker 2: of the gender identity set, they think, oh, it's not 162 00:09:36,960 --> 00:09:40,600 Speaker 2: inappropriate to talk about this stuff, that you could actually 163 00:09:40,600 --> 00:09:42,240 Speaker 2: be a boy when you're a girl or a girl 164 00:09:42,360 --> 00:09:45,040 Speaker 2: you're a boy because it's from birth and they need 165 00:09:45,080 --> 00:09:47,440 Speaker 2: to know it or else they'll never live their true selves. 166 00:09:47,880 --> 00:09:51,240 Speaker 2: It's crazy, but this is what they really think. This 167 00:09:51,320 --> 00:09:52,640 Speaker 2: is what they really believe. 168 00:09:52,800 --> 00:09:56,760 Speaker 4: And beyond how woke it is to do this remake 169 00:09:56,880 --> 00:10:02,480 Speaker 4: Snow Whites, Latina whatever. The dwarves are no longer dwarves. 170 00:10:02,559 --> 00:10:04,439 Speaker 4: They're also boys and girls. 171 00:10:04,520 --> 00:10:04,760 Speaker 5: Now. 172 00:10:05,520 --> 00:10:08,600 Speaker 4: What this really reflects, though, Buck, in addition to the 173 00:10:08,640 --> 00:10:12,800 Speaker 4: woke virus spreading through all of Disney, is the absolute 174 00:10:12,960 --> 00:10:17,760 Speaker 4: paucity of new ideas. All they're doing is remaking an 175 00:10:17,800 --> 00:10:21,560 Speaker 4: animated film as a live action film. And they did 176 00:10:21,559 --> 00:10:25,000 Speaker 4: it for Aladdin, and they did it for Little Mermaid, 177 00:10:25,559 --> 00:10:30,520 Speaker 4: And it's a desperate failure of original thought inside of 178 00:10:30,559 --> 00:10:34,280 Speaker 4: Disney that their plan for how to invest hundreds of 179 00:10:34,280 --> 00:10:37,079 Speaker 4: millions of dollars to try and make hundreds of millions 180 00:10:37,080 --> 00:10:40,760 Speaker 4: of dollars more is not to create new, original, compelling 181 00:10:41,080 --> 00:10:44,560 Speaker 4: programming and characters, which are all failing. By the way, 182 00:10:44,640 --> 00:10:47,560 Speaker 4: because I think this woke virus has infected so much 183 00:10:47,600 --> 00:10:50,480 Speaker 4: of their company. It's that they're just trying to remake 184 00:10:50,559 --> 00:10:54,280 Speaker 4: things that are one hundred years old. I mean, at 185 00:10:54,280 --> 00:10:58,200 Speaker 4: the time, and I'm a big fan of business and 186 00:10:58,240 --> 00:11:01,560 Speaker 4: of Walt Disney in general, at the time that Disney 187 00:11:01,760 --> 00:11:06,560 Speaker 4: began to create animated films, it was a revolutionary idea 188 00:11:06,920 --> 00:11:11,520 Speaker 4: to even undertake. And so what he was doing was 189 00:11:11,679 --> 00:11:17,800 Speaker 4: incredibly bold and creative, and early Pixar did that too, Buck. 190 00:11:17,880 --> 00:11:21,560 Speaker 4: It was a revitalization of the Disney brand. And then 191 00:11:21,600 --> 00:11:24,560 Speaker 4: they fired John Lassiter, who was probably as close to 192 00:11:24,600 --> 00:11:28,160 Speaker 4: a modern day Walt Disney as they've had inside of Pixar, 193 00:11:28,600 --> 00:11:33,040 Speaker 4: because they said that he had inappropriately interacted with some coworkers. 194 00:11:33,640 --> 00:11:38,480 Speaker 4: And since then their entire business has collapsed on animated films. 195 00:11:38,559 --> 00:11:41,480 Speaker 4: Pixar can't put out anything that anybody likes, and it's 196 00:11:41,520 --> 00:11:46,280 Speaker 4: because the unique talent that was driving all of Pixar's 197 00:11:46,320 --> 00:11:52,120 Speaker 4: success was actually about the foundation that was connected to Disney. 198 00:11:52,600 --> 00:11:54,680 Speaker 4: And now Bob Iiger. I really think this is a 199 00:11:54,720 --> 00:11:56,559 Speaker 4: perfect example, and they're going to study this in the 200 00:11:56,640 --> 00:12:00,520 Speaker 4: years ahead. There's a perfect example of a CEO doing 201 00:12:00,640 --> 00:12:03,120 Speaker 4: what's best for him. There's a story in the Wall 202 00:12:03,160 --> 00:12:05,680 Speaker 4: Street Journal that just came down before we came on air, 203 00:12:05,679 --> 00:12:08,480 Speaker 4: Buck talking about how Bob Iger sits in his office 204 00:12:08,480 --> 00:12:11,720 Speaker 4: and shows off the massive yacht that he's building a 205 00:12:11,800 --> 00:12:15,320 Speaker 4: new yacht to replace his old yacht. Bob Iger is 206 00:12:15,360 --> 00:12:18,600 Speaker 4: doing what's best for him. He's not doing what's best 207 00:12:18,600 --> 00:12:22,560 Speaker 4: for Disney. And so many of these CEOs are doing 208 00:12:22,600 --> 00:12:26,200 Speaker 4: what's best for them personally, not best for the company. 209 00:12:26,200 --> 00:12:28,240 Speaker 4: Because if Bob Iger cared about Disney, he would come 210 00:12:28,280 --> 00:12:30,440 Speaker 4: out and say this woke and I wish I could 211 00:12:30,440 --> 00:12:31,160 Speaker 4: curse on the air. 212 00:12:31,360 --> 00:12:32,840 Speaker 3: But this woke bs is over. 213 00:12:33,480 --> 00:12:37,640 Speaker 4: Our job is to entertain kids and families of all ages, 214 00:12:37,960 --> 00:12:42,240 Speaker 4: and this idea of dressing up men as fairy godmothers 215 00:12:42,640 --> 00:12:49,000 Speaker 4: and of remaking snow White as the multicultural United Colors 216 00:12:49,040 --> 00:12:52,200 Speaker 4: of Benetton ad that is going to fail and doing 217 00:12:52,240 --> 00:12:54,280 Speaker 4: away with dwarfs because we're afraid that it's going to 218 00:12:54,280 --> 00:12:57,720 Speaker 4: be offensive if we have too many dwarfs. Ultimately, the 219 00:12:57,720 --> 00:13:00,720 Speaker 4: market is responding to him. Were talking off air, I 220 00:13:00,760 --> 00:13:02,920 Speaker 4: wish I could sell this Snow White movie short. It's 221 00:13:02,920 --> 00:13:05,880 Speaker 4: coming out in March. It's going to bomb the likes 222 00:13:05,880 --> 00:13:09,640 Speaker 4: of which you have not seen in years, even for Disney, 223 00:13:09,920 --> 00:13:13,240 Speaker 4: because the overwhelming majority of parents, White, Black, Asian, Hispanic 224 00:13:13,320 --> 00:13:15,880 Speaker 4: are saying, yeah, this is not what we want. And 225 00:13:16,200 --> 00:13:18,760 Speaker 4: I would sell short Disney stock right now, even though 226 00:13:18,760 --> 00:13:21,280 Speaker 4: the stock has not moved in nine years. And this, 227 00:13:21,400 --> 00:13:24,200 Speaker 4: to me, Disney is getting bud lighted and they don't 228 00:13:24,200 --> 00:13:26,439 Speaker 4: want to acknowledge it yet, but a lot of people 229 00:13:26,440 --> 00:13:28,880 Speaker 4: out there are saying, Okay, I'll go spend my money elsewhere. 230 00:13:29,640 --> 00:13:32,840 Speaker 4: And this is becoming significant. It's a big deal. Indiana 231 00:13:32,920 --> 00:13:34,719 Speaker 4: Jones is not doing that well. I went and saw 232 00:13:34,760 --> 00:13:39,720 Speaker 4: it because I love Indiana Jones. They have crushed Star Wars. 233 00:13:40,160 --> 00:13:43,680 Speaker 4: The Marvel franchise is wobbly now and Indiana Jones is 234 00:13:43,720 --> 00:13:46,240 Speaker 4: not doing well. And Bob Igers should have to take 235 00:13:46,280 --> 00:13:49,160 Speaker 4: ownership of this because he allowed it to happen. But 236 00:13:49,360 --> 00:13:51,800 Speaker 4: this is becoming, this is a big trend. They just 237 00:13:51,840 --> 00:13:54,400 Speaker 4: had to shut down a Star Wars hotel. When's the 238 00:13:54,440 --> 00:13:56,680 Speaker 4: last time Disney shut down a hotel because nobody would 239 00:13:56,679 --> 00:13:58,400 Speaker 4: stay in it. I don't think it's ever happened before. 240 00:14:00,120 --> 00:14:03,360 Speaker 2: I hope that this continues, that the public, the public, 241 00:14:03,559 --> 00:14:05,480 Speaker 2: it's not even outcry decision making. 242 00:14:05,960 --> 00:14:06,959 Speaker 3: People decide they. 243 00:14:06,920 --> 00:14:10,080 Speaker 2: Don't want this stuff, and the people in charge of 244 00:14:10,120 --> 00:14:13,320 Speaker 2: making it have the economic consequences come along with it. 245 00:14:13,360 --> 00:14:15,400 Speaker 2: That's the only way this stops. I mean, it's amazing 246 00:14:16,760 --> 00:14:18,760 Speaker 2: you see this ever, I mean, you know every Netflix 247 00:14:18,760 --> 00:14:21,680 Speaker 2: show now pretty much that ken. I just there's this 248 00:14:21,840 --> 00:14:25,360 Speaker 2: real push also for anything in the fantasy genre has 249 00:14:25,400 --> 00:14:28,800 Speaker 2: to be the most diverse thing possible, right, so I 250 00:14:29,360 --> 00:14:32,200 Speaker 2: can tell there's and left wing quarters. You know, there's 251 00:14:32,560 --> 00:14:34,720 Speaker 2: a lot of resentment of the Lord of the Rings trilogy. 252 00:14:35,040 --> 00:14:38,120 Speaker 2: You can tell because it wasn't diverse. Lord of the 253 00:14:38,200 --> 00:14:41,080 Speaker 2: Rings trilogy wasn't diverse, and it was one of the 254 00:14:41,120 --> 00:14:43,560 Speaker 2: most games Thrones early on was not diverse. There's a 255 00:14:43,560 --> 00:14:47,480 Speaker 2: bunch of white people, and it made billions of dollars, 256 00:14:47,520 --> 00:14:50,280 Speaker 2: the Lord of the Rings franchise, the movies, and so 257 00:14:50,440 --> 00:14:53,440 Speaker 2: now everything that is supposed and look, what did anyone 258 00:14:53,480 --> 00:14:55,080 Speaker 2: even talk about the prequel to the Lord of the 259 00:14:55,120 --> 00:14:57,840 Speaker 2: Rings after like a day when it came out on Amazon. 260 00:14:57,920 --> 00:15:00,160 Speaker 2: Didn't the spend a billion dollars on that? Yeah, so 261 00:15:00,160 --> 00:15:04,440 Speaker 2: I was watching this and I'm like, uh, what exactly 262 00:15:04,480 --> 00:15:05,560 Speaker 2: are we trying to prove here? 263 00:15:05,760 --> 00:15:07,560 Speaker 3: Like, well, what is going on? It was, it was 264 00:15:07,760 --> 00:15:08,640 Speaker 3: horrible top to. 265 00:15:08,600 --> 00:15:12,520 Speaker 2: Bottom, but it also, you know, it looked everything has 266 00:15:12,560 --> 00:15:15,040 Speaker 2: to be like the front page of a of a 267 00:15:15,120 --> 00:15:20,280 Speaker 2: college college magazine. College magazine today, it's great college if 268 00:15:20,280 --> 00:15:22,280 Speaker 2: they do a photo of kids on a college campus 269 00:15:22,280 --> 00:15:24,800 Speaker 2: from Harvard or Colgate or wherever, it's got to be. 270 00:15:24,880 --> 00:15:29,640 Speaker 2: You know, black guy, Asian girl, uh, you know hispanic guy. 271 00:15:30,240 --> 00:15:33,160 Speaker 2: You know, someone is clearly non binary, and like maybe 272 00:15:33,160 --> 00:15:35,080 Speaker 2: in the back you allow white guy if he's not 273 00:15:35,120 --> 00:15:37,840 Speaker 2: being too prop and like that's every college, you know, 274 00:15:37,880 --> 00:15:39,600 Speaker 2: look book or whatever they call it has to be. 275 00:15:40,120 --> 00:15:43,320 Speaker 2: That's now the way they make content online for Netflix 276 00:15:43,320 --> 00:15:46,000 Speaker 2: and these other things. And people just going like, you know, 277 00:15:46,640 --> 00:15:50,680 Speaker 2: why what about every commercial that you see on television? Now, 278 00:15:51,120 --> 00:15:54,320 Speaker 2: if you watched American television advertising, you would think that 279 00:15:54,400 --> 00:15:55,720 Speaker 2: white people are never married. 280 00:15:56,400 --> 00:15:59,000 Speaker 4: Like there is no white man and white woman in 281 00:15:59,120 --> 00:16:02,200 Speaker 4: any almost any commercial that exist on television. If it's 282 00:16:02,240 --> 00:16:06,880 Speaker 4: all multi race, it's all it's all selling this idea 283 00:16:07,320 --> 00:16:09,360 Speaker 4: that all that matters is the color of your skin. 284 00:16:09,600 --> 00:16:13,080 Speaker 4: Ironically enough, born on America's darkest day of nine to eleven, 285 00:16:13,080 --> 00:16:15,720 Speaker 4: Tunnel the Towers Foundation's been helping America's heroes for more 286 00:16:15,760 --> 00:16:18,320 Speaker 4: than twenty years. When a first responder, a military service 287 00:16:18,360 --> 00:16:21,160 Speaker 4: member doesn't come home and young kids are left behind, 288 00:16:21,200 --> 00:16:23,600 Speaker 4: Tunnel the Towers pays the mortgage on the family home 289 00:16:23,680 --> 00:16:27,680 Speaker 4: to lift the financial burden for severely injured veterans first responders. 290 00:16:27,720 --> 00:16:28,040 Speaker 3: As well. 291 00:16:28,080 --> 00:16:32,080 Speaker 4: Tunnel the Towers builds mortgage free smart homes, enabling severely 292 00:16:32,120 --> 00:16:36,360 Speaker 4: injured heroes to move around more independently through their veteran 293 00:16:36,400 --> 00:16:40,360 Speaker 4: Homelessness program Tunnel the Towers, providing housing and services to 294 00:16:40,480 --> 00:16:43,720 Speaker 4: homeless veterans more than five hundred last year. Triple that 295 00:16:43,800 --> 00:16:47,680 Speaker 4: amount this year. Because all veterans who honorably served, whether 296 00:16:47,720 --> 00:16:51,760 Speaker 4: in peacetime or war, deserve our nation's gratitude. Join Tunnel 297 00:16:51,760 --> 00:16:54,200 Speaker 4: to Towers on its mission to do good. Never forget 298 00:16:54,280 --> 00:16:57,200 Speaker 4: nine to eleven or the sacrifices of the country's heroes. 299 00:16:57,560 --> 00:17:00,560 Speaker 4: Join us in donating eleven dollars a month at tea 300 00:17:00,600 --> 00:17:03,960 Speaker 4: dot org. That's t the number two t dot org. 301 00:17:04,400 --> 00:17:08,720 Speaker 1: One truth revealed after another. Clay Travis and Buck Sexton 302 00:17:09,080 --> 00:17:12,399 Speaker 1: Welcome back in Play Travis Buck Sexton Show. We're talking 303 00:17:12,440 --> 00:17:15,080 Speaker 1: about woke Disney and the fact that the company's collapsing 304 00:17:15,160 --> 00:17:20,840 Speaker 1: right now. It's interesting Buck to me which brands will 305 00:17:20,880 --> 00:17:25,000 Speaker 1: be acknowledged as suffering from going political because everybody's like, 306 00:17:25,040 --> 00:17:26,360 Speaker 1: oh yeah, bud Lights screwed. 307 00:17:26,400 --> 00:17:29,919 Speaker 3: They totally destroyed themselves. I think the. 308 00:17:29,960 --> 00:17:36,480 Speaker 4: Slow move of Disney and ESPN's collapse into wokenet has 309 00:17:36,680 --> 00:17:40,639 Speaker 4: made people less willing to acknowledge it, interestingly, Buck, than 310 00:17:40,680 --> 00:17:43,960 Speaker 4: they would have if there were one crystallizing moment like 311 00:17:44,000 --> 00:17:44,879 Speaker 4: there was with bud Light. 312 00:17:44,960 --> 00:17:45,560 Speaker 3: Does that make sense. 313 00:17:45,600 --> 00:17:48,919 Speaker 4: It's been a slow descent, actually worse off for the 314 00:17:48,960 --> 00:17:51,679 Speaker 4: brand than one event, but people won't acknowledge it. 315 00:17:52,600 --> 00:17:55,360 Speaker 3: Yeah, I think that I would agree. 316 00:17:55,600 --> 00:17:58,320 Speaker 4: And so what is the impact, Like, how do you 317 00:17:58,400 --> 00:18:00,679 Speaker 4: get back out of that mess? Is one they have 318 00:18:00,720 --> 00:18:02,840 Speaker 4: to figure out. And one thing I would suggest that 319 00:18:02,840 --> 00:18:05,600 Speaker 4: Disney could use, maybe bob Byger himself a little bit 320 00:18:05,600 --> 00:18:08,879 Speaker 4: more testosterone willingness to stand up to the woke people 321 00:18:08,960 --> 00:18:11,280 Speaker 4: in your company and say no, this is not what's 322 00:18:11,320 --> 00:18:14,359 Speaker 4: in the best interest of the brand. I'm going to 323 00:18:14,520 --> 00:18:17,760 Speaker 4: stand up to you because I'm the CEO. But unfortunately 324 00:18:17,800 --> 00:18:21,120 Speaker 4: Disney probably has the lowest amount of testosterone in its 325 00:18:21,160 --> 00:18:24,720 Speaker 4: company's history because the country has the lowest amount of 326 00:18:24,760 --> 00:18:27,280 Speaker 4: testosterone in its country. You know, testosterone levels drop by 327 00:18:27,320 --> 00:18:31,080 Speaker 4: fifty percent over the past several decades. With Chalk's all 328 00:18:31,200 --> 00:18:34,800 Speaker 4: natural supplements, you can increase your testosterone level by twenty 329 00:18:34,840 --> 00:18:38,160 Speaker 4: percent over the next three months. How do you do it? Well, 330 00:18:38,200 --> 00:18:41,400 Speaker 4: you go check out their website choq dot com. That's 331 00:18:41,480 --> 00:18:44,480 Speaker 4: chalkcchoq dot com. And if you use my name, Clay, 332 00:18:45,000 --> 00:18:48,760 Speaker 4: you get thirty five percent off for life on every 333 00:18:48,960 --> 00:18:53,040 Speaker 4: single subscription you sign up for. Don't go full woke Disney, 334 00:18:53,280 --> 00:18:55,920 Speaker 4: get chalked today and put some testosterone in your life 335 00:18:56,280 --> 00:18:57,760 Speaker 4: Choq dot com. 336 00:18:57,880 --> 00:19:00,639 Speaker 2: You know this isn't a surprise to us at all, 337 00:19:00,680 --> 00:19:05,960 Speaker 2: but it's something we should note anyway. When Democrats get 338 00:19:05,960 --> 00:19:09,800 Speaker 2: what they want from the Supreme Court, they insist that. 339 00:19:09,760 --> 00:19:11,879 Speaker 3: It is settled law of the land. 340 00:19:12,080 --> 00:19:15,560 Speaker 2: Sacro sank almost like Moses handing down the Ten Commandments, 341 00:19:15,600 --> 00:19:19,520 Speaker 2: you know, the tablets. But when they don't get what 342 00:19:19,520 --> 00:19:22,280 Speaker 2: they want, they just find a way to ignore it, 343 00:19:22,400 --> 00:19:27,880 Speaker 2: get around it, play games, force further suits to be brought, 344 00:19:28,440 --> 00:19:31,800 Speaker 2: and it just reminds me, well, I'm reminded of all 345 00:19:31,840 --> 00:19:36,240 Speaker 2: of that based on the Biden administration decision to once 346 00:19:36,280 --> 00:19:41,000 Speaker 2: again forgive student loans. Now it's a lot smaller in this, 347 00:19:41,119 --> 00:19:45,159 Speaker 2: and I don't like the term forgive, wipe away transfer 348 00:19:45,200 --> 00:19:47,680 Speaker 2: the debt. Perhaps that's a better because they're just transferring 349 00:19:47,720 --> 00:19:52,680 Speaker 2: the debt to the taxpayer. But the Biden administration has 350 00:19:52,720 --> 00:19:57,440 Speaker 2: announced that it would cancel education debt for eight hundred 351 00:19:57,480 --> 00:20:02,000 Speaker 2: and four thousand borrowers, a total of thirty nine billion 352 00:20:02,080 --> 00:20:06,760 Speaker 2: dollars in relief. Now they were trying for hundreds of 353 00:20:06,840 --> 00:20:11,119 Speaker 2: billions before, and the Supreme Court said no. No, you 354 00:20:11,240 --> 00:20:14,200 Speaker 2: can't just do that. I think it was four hundred 355 00:20:14,200 --> 00:20:17,600 Speaker 2: and thirty billion was what the Supreme Court had to say, sorry, 356 00:20:18,119 --> 00:20:20,720 Speaker 2: and that would have been giving. It would have been 357 00:20:20,880 --> 00:20:27,000 Speaker 2: effectively delivering money to thirty seven million borrowers in America. 358 00:20:28,240 --> 00:20:30,680 Speaker 2: I'm just going to point out that we're gonna we're 359 00:20:30,720 --> 00:20:34,159 Speaker 2: going into an election cycle here where they will do 360 00:20:34,240 --> 00:20:37,960 Speaker 2: everything they can to make you think the economy is 361 00:20:38,000 --> 00:20:41,560 Speaker 2: better than it is and to buy off with your 362 00:20:41,640 --> 00:20:44,360 Speaker 2: tax dollars as many people as possible. We often talk 363 00:20:44,400 --> 00:20:48,240 Speaker 2: about Clay, how you've got about twenty some odd thousand 364 00:20:48,280 --> 00:20:52,600 Speaker 2: votes that go a different way in Georgia, Arizona, Michigan, 365 00:20:53,240 --> 00:20:55,760 Speaker 2: and you have a different outcome for the twenty twenty election. 366 00:20:56,280 --> 00:20:59,360 Speaker 2: So while we can look at thirty nine billion dollars 367 00:20:59,400 --> 00:21:03,800 Speaker 2: for eight hundred thousand borrowers and say, well it's small, 368 00:21:03,960 --> 00:21:07,040 Speaker 2: we're a country three hundred and forty million people. Yeah, 369 00:21:07,080 --> 00:21:10,040 Speaker 2: but if eight hundred thousand of those, now a lot 370 00:21:10,080 --> 00:21:11,919 Speaker 2: of them are probably Democrats, you know, we'd have to 371 00:21:12,160 --> 00:21:14,280 Speaker 2: dig into the numbers here, but some of them are 372 00:21:14,280 --> 00:21:17,240 Speaker 2: probably independents, some of them probably live in these states, 373 00:21:17,920 --> 00:21:20,879 Speaker 2: and with with this kind of a maneuver, Clay. It 374 00:21:20,960 --> 00:21:22,600 Speaker 2: reminds me a little bit of what you deal with 375 00:21:22,640 --> 00:21:26,480 Speaker 2: the New York City with rent control. Why is rent 376 00:21:26,520 --> 00:21:30,200 Speaker 2: control impossible to get rid of in New York City 377 00:21:30,640 --> 00:21:34,160 Speaker 2: Because there're something like a million people have rent control 378 00:21:34,240 --> 00:21:37,119 Speaker 2: apartments in New York and there's different sort of statuses 379 00:21:37,160 --> 00:21:39,879 Speaker 2: of them. But if you try to touch rent control 380 00:21:39,920 --> 00:21:42,760 Speaker 2: in New York City, you know what happens. Every single 381 00:21:42,840 --> 00:21:44,960 Speaker 2: one of the people with the rent they will go 382 00:21:45,040 --> 00:21:48,119 Speaker 2: to the mat They will, you know, because it makes 383 00:21:48,160 --> 00:21:51,159 Speaker 2: a huge difference in their bottom line. How many of 384 00:21:51,200 --> 00:21:54,120 Speaker 2: these eight hundred thousand borrowers now have been bought off 385 00:21:54,160 --> 00:21:57,440 Speaker 2: effectively by the Biden administration, assuming this all goes through 386 00:21:58,000 --> 00:22:00,879 Speaker 2: with tax dollars of other people. This is how Democrats 387 00:22:00,920 --> 00:22:03,240 Speaker 2: play the game, man. I mean, it's like running for 388 00:22:03,280 --> 00:22:06,959 Speaker 2: student council president and handing out a slice of pizza 389 00:22:06,960 --> 00:22:09,440 Speaker 2: to everybody to vote for you before they're actually casting 390 00:22:09,480 --> 00:22:11,480 Speaker 2: ballots and using money that you took up for a 391 00:22:11,480 --> 00:22:12,200 Speaker 2: different collection. 392 00:22:12,320 --> 00:22:15,239 Speaker 4: That's what they're doing well, and it also speaks to 393 00:22:15,720 --> 00:22:18,320 Speaker 4: what you're saying about rent control and everything else is 394 00:22:18,400 --> 00:22:22,520 Speaker 4: once a policy is implemented, once people get used to 395 00:22:22,680 --> 00:22:26,040 Speaker 4: the idea that they get something you can ever take 396 00:22:26,040 --> 00:22:29,040 Speaker 4: it back. And this goes to the psychology of the 397 00:22:29,040 --> 00:22:32,920 Speaker 4: way people think. Buck, I'm sure you've seen these studies. 398 00:22:33,520 --> 00:22:37,160 Speaker 4: A lot of people won't risk money that they physically 399 00:22:37,160 --> 00:22:39,680 Speaker 4: have in their hand. They've done studies where they give 400 00:22:39,720 --> 00:22:42,040 Speaker 4: you a dollar, and if they give you a physical 401 00:22:42,119 --> 00:22:45,120 Speaker 4: dollar to hold in your hand, you are less likely 402 00:22:45,200 --> 00:22:47,800 Speaker 4: to risk that dollar because you have it in your 403 00:22:47,840 --> 00:22:48,960 Speaker 4: possession than. 404 00:22:48,840 --> 00:22:50,399 Speaker 3: If they tell you that you have it. 405 00:22:51,240 --> 00:22:54,160 Speaker 4: And once you give, and this goes to why entitlement 406 00:22:54,200 --> 00:22:57,320 Speaker 4: reform is so difficult. Once you tell people, hey, you're 407 00:22:57,320 --> 00:22:59,200 Speaker 4: going to get this for social Security, you're going to 408 00:22:59,240 --> 00:23:02,360 Speaker 4: get this for where we now define something in our 409 00:23:02,480 --> 00:23:07,000 Speaker 4: national discourse as a cut if we merely slow the 410 00:23:07,080 --> 00:23:10,800 Speaker 4: growth under which something is expanding. Oh, they're trying to 411 00:23:10,840 --> 00:23:13,879 Speaker 4: cut Medicare, they're trying to cut social Security. No, no, no, 412 00:23:13,920 --> 00:23:16,600 Speaker 4: we're just saying that you can only and this isn't 413 00:23:16,640 --> 00:23:19,080 Speaker 4: unique to America, by the way, this is basically everywhere. 414 00:23:19,080 --> 00:23:22,119 Speaker 4: Look at what happened in France when Emmanuel Macrone tried 415 00:23:22,160 --> 00:23:26,040 Speaker 4: to increase the overall age of retirement. Because in France 416 00:23:26,080 --> 00:23:28,359 Speaker 4: you get a full pension. You did it's something like 417 00:23:28,440 --> 00:23:31,040 Speaker 4: sixty years old. And I may be a little bit 418 00:23:31,080 --> 00:23:34,000 Speaker 4: wrong on that, but it's a very youthful I think 419 00:23:34,000 --> 00:23:36,800 Speaker 4: in many ways age at which you can retire in 420 00:23:36,840 --> 00:23:40,320 Speaker 4: full benefits and have a pension. Maybe it was sixty two, 421 00:23:40,359 --> 00:23:43,520 Speaker 4: but not a very old age in general, and they 422 00:23:43,560 --> 00:23:45,400 Speaker 4: tried to bump it up, I think to sixty four. 423 00:23:45,440 --> 00:23:47,320 Speaker 4: And I may be a little bit off on those numbers, 424 00:23:47,600 --> 00:23:51,359 Speaker 4: but it's emblematic to the human condition in general. Now, 425 00:23:51,520 --> 00:23:55,879 Speaker 4: what Biden is trying to do is avoid having to 426 00:23:56,000 --> 00:23:59,119 Speaker 4: put his policy in front of Congress. Because this is 427 00:23:59,160 --> 00:24:03,360 Speaker 4: why this was such a clear political ploy, and it's 428 00:24:03,400 --> 00:24:07,200 Speaker 4: somewhat brilliant on a pure political basis. Joe Biden, right 429 00:24:07,240 --> 00:24:11,120 Speaker 4: before midterm elections in twenty twenty two, said I'm forgiving 430 00:24:11,160 --> 00:24:14,000 Speaker 4: four hundred and forty billion dollars in student loan debt. 431 00:24:14,119 --> 00:24:16,120 Speaker 4: And if you agree that you shouldn't have to pay 432 00:24:16,160 --> 00:24:18,720 Speaker 4: your student loan debt, young people, go vote in the 433 00:24:18,760 --> 00:24:21,680 Speaker 4: midterm elections. Democrats Republicans are going to take this away. 434 00:24:22,200 --> 00:24:24,919 Speaker 4: And he didn't put it in front of the House 435 00:24:25,160 --> 00:24:27,960 Speaker 4: or the Senate because Democrats wouldn't have voted for that 436 00:24:28,040 --> 00:24:31,560 Speaker 4: policy to pass. And he did it with a unconstitutional 437 00:24:31,640 --> 00:24:34,480 Speaker 4: justification then the Supreme Court says, no, you can't do that. 438 00:24:34,680 --> 00:24:37,359 Speaker 4: June takes them ten months. They come out and they 439 00:24:37,400 --> 00:24:40,199 Speaker 4: say no, you can't do that, it's unconstitutional. And what 440 00:24:40,200 --> 00:24:42,960 Speaker 4: does he do? He says, this is not a normal court. 441 00:24:43,280 --> 00:24:46,679 Speaker 4: And in twenty twenty four he's gonna run, or Democrats 442 00:24:46,720 --> 00:24:51,600 Speaker 4: will run if it's not Biden on Hey, Republican Supreme Court, 443 00:24:52,160 --> 00:24:55,959 Speaker 4: all those right wing idiologs, they kept me from giving 444 00:24:56,000 --> 00:24:59,479 Speaker 4: you relief from your student loans. If you disagree with that, 445 00:24:59,560 --> 00:25:02,160 Speaker 4: you should go vote against Republicans in twenty twenty four. 446 00:25:03,560 --> 00:25:06,320 Speaker 4: He told you when this came out, exactly what he 447 00:25:06,400 --> 00:25:08,840 Speaker 4: was doing. We can tell you the game plan that 448 00:25:08,880 --> 00:25:11,960 Speaker 4: he's running. But it works for some of those young 449 00:25:12,080 --> 00:25:15,879 Speaker 4: voters who aren't sophisticated enough to understand that they're being 450 00:25:16,000 --> 00:25:18,800 Speaker 4: played and that Joe Biden is doing something that he 451 00:25:18,880 --> 00:25:21,880 Speaker 4: knows is unconstitutional in an effort to increase their turnout 452 00:25:21,880 --> 00:25:22,520 Speaker 4: to vote for him. 453 00:25:22,840 --> 00:25:25,760 Speaker 2: See, this is my premise right now, and this is 454 00:25:25,920 --> 00:25:30,080 Speaker 2: subject to change. And I keep saying I can get 455 00:25:30,119 --> 00:25:32,600 Speaker 2: I can guarantee that six months from now there'll be 456 00:25:32,680 --> 00:25:36,960 Speaker 2: things about the political dynamics in this country that will say, wow, 457 00:25:37,040 --> 00:25:38,719 Speaker 2: if only we had known that or you know who 458 00:25:38,760 --> 00:25:42,480 Speaker 2: could have seen this coming. But if it's if Trump 459 00:25:42,560 --> 00:25:45,280 Speaker 2: is the nominee, they can count on every Democrat vote 460 00:25:45,320 --> 00:25:47,239 Speaker 2: I think the last time around to show up for him. 461 00:25:47,280 --> 00:25:50,280 Speaker 2: This time, Democrats are going to be running a straight 462 00:25:50,400 --> 00:25:54,879 Speaker 2: up independence in swing states campaign from day one and 463 00:25:55,000 --> 00:25:58,320 Speaker 2: doing things like this. No one thinks Joe Biden's gonna 464 00:25:58,400 --> 00:26:01,119 Speaker 2: what's Joe Biden's message going to be a message? The 465 00:26:01,240 --> 00:26:05,680 Speaker 2: Democrat machine is very transactional, right that. Yeah, there'll be 466 00:26:05,720 --> 00:26:07,200 Speaker 2: emotional manipulation. 467 00:26:06,800 --> 00:26:09,080 Speaker 3: With January sixth and the insurrection. 468 00:26:09,040 --> 00:26:13,640 Speaker 2: But cash payments, cash handouts to people, that's the kind 469 00:26:13,720 --> 00:26:15,719 Speaker 2: of stuff that they do. You know, think about it 470 00:26:15,800 --> 00:26:19,119 Speaker 2: like old school Tammany Hall in New York or the 471 00:26:19,160 --> 00:26:22,919 Speaker 2: you know, the the Daily Chicago machine. It's you know, 472 00:26:23,200 --> 00:26:26,080 Speaker 2: it's coins on the barrel for people, right It's it's 473 00:26:26,200 --> 00:26:28,520 Speaker 2: paying them off, it's getting them what they got to get, 474 00:26:28,560 --> 00:26:32,200 Speaker 2: it's getting their piece of it. And they're very effective. 475 00:26:32,240 --> 00:26:34,479 Speaker 2: In the same way, they're very effective at creating an 476 00:26:34,480 --> 00:26:38,120 Speaker 2: ecosystem that makes people want to be left wing lunatic 477 00:26:38,160 --> 00:26:41,560 Speaker 2: activists and media, et cetera. Because or in the government 478 00:26:41,640 --> 00:26:43,520 Speaker 2: or in the deep state, right, you'll get your book deal, 479 00:26:43,520 --> 00:26:45,520 Speaker 2: you'll get your board seat, You'll be taken care of. 480 00:26:46,240 --> 00:26:48,400 Speaker 2: They figure out what can we do to pay off 481 00:26:48,440 --> 00:26:51,040 Speaker 2: the voters just enough that they make the wrong decision 482 00:26:51,080 --> 00:26:55,159 Speaker 2: this time around, and something like this, something like you know, 483 00:26:55,760 --> 00:26:59,080 Speaker 2: paying off people with student loan debt. It's not huge, 484 00:26:59,760 --> 00:27:01,960 Speaker 2: but where are they doing it and how are. 485 00:27:01,840 --> 00:27:02,320 Speaker 3: They doing it? 486 00:27:02,840 --> 00:27:04,960 Speaker 4: I just speaking of that buck. Did you see who 487 00:27:05,000 --> 00:27:08,359 Speaker 4: has a book coming out? I think in October? The 488 00:27:09,000 --> 00:27:11,800 Speaker 4: young twenty four year old who testified at the J 489 00:27:11,920 --> 00:27:14,320 Speaker 4: and six hearings was a Cassidy Hutchinson. 490 00:27:14,400 --> 00:27:17,400 Speaker 3: Was that her name? Oh yeah, she got a book deal. 491 00:27:17,760 --> 00:27:19,200 Speaker 3: What in the world. 492 00:27:19,800 --> 00:27:21,560 Speaker 4: And I'm not trying to take a shot at her, right, 493 00:27:22,160 --> 00:27:24,240 Speaker 4: but she's twenty four years old. 494 00:27:24,320 --> 00:27:26,760 Speaker 2: There's no way that book is interesting. There's no way 495 00:27:26,760 --> 00:27:30,960 Speaker 2: that book was worth being written. But it just it's 496 00:27:30,960 --> 00:27:33,600 Speaker 2: something that people it's the you know, it's something that 497 00:27:33,640 --> 00:27:36,359 Speaker 2: people will buy to put on their shelf next to 498 00:27:36,400 --> 00:27:40,440 Speaker 2: their other Trump hate books. She got a payoff effectively 499 00:27:40,800 --> 00:27:43,080 Speaker 2: through the book deal. And we didn't even talk about this, 500 00:27:43,160 --> 00:27:46,400 Speaker 2: but everybody's focused on You've reading all these articles. Oh, 501 00:27:46,600 --> 00:27:49,600 Speaker 2: Justice Clarence Thomas flew on at somebody's private jet he's 502 00:27:49,640 --> 00:27:51,440 Speaker 2: friends with this famous billionaire. 503 00:27:51,480 --> 00:27:52,880 Speaker 3: Look at these relationships. 504 00:27:53,800 --> 00:27:59,480 Speaker 4: Sonia Sotomayor has made almost four million dollars buck off 505 00:27:59,520 --> 00:28:04,200 Speaker 4: her Chill's book. You can't tell me that Sonia Sotomayor 506 00:28:04,880 --> 00:28:07,800 Speaker 4: is the greatest children's book author of all time. 507 00:28:09,000 --> 00:28:12,840 Speaker 3: I can tell you this. Four million dollars nearly. 508 00:28:13,000 --> 00:28:17,480 Speaker 4: In book royalties is an insane amount of money to make. 509 00:28:18,080 --> 00:28:22,760 Speaker 4: What's going on there, She, based on her political connections, 510 00:28:23,240 --> 00:28:26,800 Speaker 4: is getting all these different libraries and all these different 511 00:28:26,880 --> 00:28:31,160 Speaker 4: school districts to buy her children's books and put them 512 00:28:31,359 --> 00:28:33,239 Speaker 4: in I bet it's in every school book. I bet 513 00:28:33,240 --> 00:28:36,400 Speaker 4: it's in every school library in America right now, because 514 00:28:36,560 --> 00:28:39,480 Speaker 4: that's the way she's getting paid off four million dollars. 515 00:28:39,920 --> 00:28:42,000 Speaker 2: It's not for a lot of people. It's not public 516 00:28:42,040 --> 00:28:45,960 Speaker 2: service anymore, it's self service. Democrats are totally okay with this. 517 00:28:46,040 --> 00:28:49,240 Speaker 2: The Clinton's really pioneered it by being incredibly wealthy peddling 518 00:28:49,280 --> 00:28:52,440 Speaker 2: influence under the guise of a charity. Now Hunter Biden 519 00:28:52,520 --> 00:28:55,240 Speaker 2: is selling his finger paintings, never mind access to his 520 00:28:55,320 --> 00:28:58,800 Speaker 2: dad for China, and this is now just considered normal. 521 00:28:59,360 --> 00:29:02,400 Speaker 2: So we want to talk about corruption and draining the swamp. 522 00:29:02,440 --> 00:29:05,280 Speaker 2: This is a big part of it, all right, Look, 523 00:29:05,640 --> 00:29:08,320 Speaker 2: my friends, are you want to fixed income? 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Visit phxon air 542 00:30:11,520 --> 00:30:13,000 Speaker 2: dot com today. 543 00:30:13,680 --> 00:30:17,240 Speaker 1: Download and used than you Clay and Buck app, listen 544 00:30:17,280 --> 00:30:20,000 Speaker 1: to the program live, catch up on any part of 545 00:30:20,000 --> 00:30:21,240 Speaker 1: the show you might have missed. 546 00:30:21,560 --> 00:30:24,920 Speaker 3: Find every podcast as their released and listen. Fine the 547 00:30:25,000 --> 00:30:26,040 Speaker 3: Clay and Buck app in. 548 00:30:26,000 --> 00:30:28,080 Speaker 1: Your app store and make it part of your day. 549 00:30:28,240 --> 00:30:31,840 Speaker 4: Welcome back in play Travis buck Sexton Show. We got 550 00:30:31,840 --> 00:30:34,240 Speaker 4: a bunch of callers. It is Friday, no guests. We'll 551 00:30:34,280 --> 00:30:35,800 Speaker 4: take some of your calls here. We'll take some of 552 00:30:35,840 --> 00:30:38,920 Speaker 4: your calls in the third hour as well. Let's go 553 00:30:39,000 --> 00:30:42,800 Speaker 4: down to the great state of Texas. Jason, what's shake 554 00:30:42,840 --> 00:30:44,280 Speaker 4: and what you got for us? 555 00:30:44,320 --> 00:30:47,160 Speaker 6: Hey, gentlemen, six time caller on the Rush Show. I'm 556 00:30:47,200 --> 00:30:50,160 Speaker 6: even on page three fifty of his book, Jason new 557 00:30:50,160 --> 00:30:51,240 Speaker 6: Brofels Texas. 558 00:30:51,400 --> 00:30:52,000 Speaker 3: Good for you. 559 00:30:52,080 --> 00:30:54,400 Speaker 6: Hey. When I heard y'all, yeah, when I heard y'all 560 00:30:54,400 --> 00:30:58,240 Speaker 6: talking about the sexualization of children, all this transgender stuff 561 00:30:58,240 --> 00:31:01,600 Speaker 6: which I didn't even hear about ten years ago, I 562 00:31:01,720 --> 00:31:04,000 Speaker 6: was thinking about something I'm engaged in right now. I'm 563 00:31:04,040 --> 00:31:09,000 Speaker 6: in an online teacher certification program, and instead of complaining 564 00:31:09,000 --> 00:31:11,160 Speaker 6: about education, I'm gonna go in and just actually just 565 00:31:11,160 --> 00:31:14,320 Speaker 6: teach history, not try to indoctrinate young people. Part of 566 00:31:14,360 --> 00:31:19,600 Speaker 6: this program is observing classrooms by videos, and these are 567 00:31:19,640 --> 00:31:24,720 Speaker 6: prerecorded videos, and in watching those videos, I can say empirically, 568 00:31:25,400 --> 00:31:28,479 Speaker 6: none of the hundreds of young people that I've witnessed fifth, six, 569 00:31:28,600 --> 00:31:32,560 Speaker 6: seven eighth graders are confused about their gender. The boys 570 00:31:32,560 --> 00:31:35,920 Speaker 6: are boys and the girls of girls. The only way 571 00:31:36,160 --> 00:31:40,200 Speaker 6: they can become confused is by counselors and teachers and 572 00:31:40,320 --> 00:31:44,479 Speaker 6: activist parents. This transgender thing is an evil thing that 573 00:31:44,600 --> 00:31:47,560 Speaker 6: is being placed upon our children by people who simply 574 00:31:47,560 --> 00:31:50,880 Speaker 6: don't want to recognize these Trust the science people that 575 00:31:51,320 --> 00:31:55,800 Speaker 6: boys and girls are inherently different, based upon God's design, 576 00:31:56,200 --> 00:31:59,120 Speaker 6: not the design of a counselor or a somebody an 577 00:31:59,200 --> 00:32:03,000 Speaker 6: academic orson like that. And just as an aside, for 578 00:32:03,080 --> 00:32:05,000 Speaker 6: all these people, all these baby saying I'm not going 579 00:32:05,040 --> 00:32:08,240 Speaker 6: to vote for Trump because you know he hurt my feelings. 580 00:32:08,320 --> 00:32:10,240 Speaker 6: You're voting for this stuff by sitting out. 581 00:32:10,560 --> 00:32:12,320 Speaker 3: It's a good point. Thank you for the call. Buck. 582 00:32:12,360 --> 00:32:14,600 Speaker 4: Here's what I would say. A lot of people talk 583 00:32:14,600 --> 00:32:17,160 Speaker 4: about what's going on in the teaching. I would ask 584 00:32:17,200 --> 00:32:18,840 Speaker 4: this question, and I think about it a lot. I'm 585 00:32:18,880 --> 00:32:21,520 Speaker 4: fortunate to have three boys who are happy and healthy 586 00:32:22,240 --> 00:32:27,000 Speaker 4: right now. But when thirty percent of girls, according to studies, 587 00:32:27,120 --> 00:32:30,160 Speaker 4: have thought about committing suicide in the last year. I 588 00:32:30,200 --> 00:32:34,640 Speaker 4: was reading that the number of admissions to emergency rooms 589 00:32:35,160 --> 00:32:40,440 Speaker 4: for mental health issues skyrocketed during COVID, which is eminently predictable. 590 00:32:40,520 --> 00:32:43,000 Speaker 4: You take people out of schools. But why are so 591 00:32:43,040 --> 00:32:47,920 Speaker 4: many people uncomfortable in their own bodies? That is like 592 00:32:47,960 --> 00:32:50,360 Speaker 4: the essence of a question. Right if you are a 593 00:32:50,400 --> 00:32:53,479 Speaker 4: boy and you feel like you're a girl, or you 594 00:32:53,560 --> 00:32:55,680 Speaker 4: are a girl, or and you feel like you are 595 00:32:55,680 --> 00:32:59,000 Speaker 4: a boy, the root of that is you are profoundly 596 00:32:59,120 --> 00:33:01,080 Speaker 4: uncomfortable in your own skin. 597 00:33:01,560 --> 00:33:04,160 Speaker 3: Why is that becoming such a thing. Well, you know, 598 00:33:04,200 --> 00:33:07,680 Speaker 3: there's I think the messaging on this is. 599 00:33:09,160 --> 00:33:14,280 Speaker 2: From a lot of different angles really bad, and it's 600 00:33:14,320 --> 00:33:16,320 Speaker 2: bad for women. It's actually bad for men too, which 601 00:33:16,360 --> 00:33:18,400 Speaker 2: we could talk about in a second. But on the 602 00:33:18,400 --> 00:33:23,160 Speaker 2: one hand, you have young girls are exposed to not 603 00:33:23,280 --> 00:33:26,800 Speaker 2: even just unrealistic expectations of beauty. You know, there was 604 00:33:26,840 --> 00:33:30,840 Speaker 2: a Tom Segura does this thing about how he saw 605 00:33:30,840 --> 00:33:33,040 Speaker 2: a supermodel in person, and he's like, this is like 606 00:33:33,080 --> 00:33:35,080 Speaker 2: a freak of like a freak of nature, like in 607 00:33:35,120 --> 00:33:37,160 Speaker 2: the mode, but he's looking at he's saying, and this 608 00:33:37,280 --> 00:33:40,120 Speaker 2: is true. You know, a lot of us male, you know, 609 00:33:40,200 --> 00:33:42,800 Speaker 2: female whatever, You're never gonna look like Giselle. She won 610 00:33:42,840 --> 00:33:46,200 Speaker 2: the genetics lottery. Like that's just reality, right, Naomi Campbell 611 00:33:46,280 --> 00:33:49,920 Speaker 2: won the genetics lottery like these supermodels, And that's just 612 00:33:50,000 --> 00:33:51,400 Speaker 2: the same way that you know, I was never gonna 613 00:33:51,400 --> 00:33:54,080 Speaker 2: be a seven foot four, you know NBA player, who 614 00:33:54,080 --> 00:33:58,200 Speaker 2: could you know, dunk with barely jumping point being that 615 00:33:58,280 --> 00:33:59,680 Speaker 2: there are some realities that we have to deal with 616 00:33:59,720 --> 00:34:05,320 Speaker 2: an online though. It's now worse than that because there 617 00:34:05,360 --> 00:34:07,760 Speaker 2: are all these people that are changing. There's a tremendous 618 00:34:07,760 --> 00:34:10,200 Speaker 2: amount of sort of plastic surgery and body dysmorphia that 619 00:34:10,239 --> 00:34:12,440 Speaker 2: comes from that, and there are also is all these 620 00:34:12,480 --> 00:34:14,760 Speaker 2: filters and all these things. So it is a truly 621 00:34:14,840 --> 00:34:16,800 Speaker 2: on It's not oh look at this, like one in 622 00:34:16,880 --> 00:34:18,839 Speaker 2: a million person is so good looking. People are changing 623 00:34:18,880 --> 00:34:20,759 Speaker 2: the way they look. Young girls are exposed to this. 624 00:34:21,120 --> 00:34:23,080 Speaker 2: And then on the other side of it, you have 625 00:34:23,160 --> 00:34:28,320 Speaker 2: society telling women, you know, be unhealthy fat, yeah, meaning 626 00:34:28,320 --> 00:34:33,320 Speaker 2: you know, be give yourself severe body and health issues 627 00:34:33,360 --> 00:34:36,080 Speaker 2: in your life as a function of medicine and science. 628 00:34:36,320 --> 00:34:36,839 Speaker 3: That's good. 629 00:34:36,880 --> 00:34:38,719 Speaker 2: Now, so you have on the one hand, what they're 630 00:34:38,760 --> 00:34:41,160 Speaker 2: seeing and what's getting the clicks and the likes is 631 00:34:41,200 --> 00:34:44,240 Speaker 2: more unrealistic than ever. And then there's this other movement 632 00:34:44,280 --> 00:34:46,880 Speaker 2: of you know, the body positivity thing, where it's like, no, 633 00:34:47,280 --> 00:34:49,160 Speaker 2: just be healthy, be the best version of who you 634 00:34:49,239 --> 00:34:52,200 Speaker 2: are should be the messaging. But that messaging is getting 635 00:34:52,239 --> 00:34:57,640 Speaker 2: completely stampeded by bad messaging in both directions, totally fake 636 00:34:57,719 --> 00:35:02,600 Speaker 2: perfection and really self degraatory, you know, let it all 637 00:35:02,640 --> 00:35:05,120 Speaker 2: go and nothing matters. Like neither of those are good. 638 00:35:05,480 --> 00:35:08,680 Speaker 4: Yeah, and I would argue that Instagram, which is overwhelmingly 639 00:35:08,800 --> 00:35:12,960 Speaker 4: more popular with girls and young girls, a lot of 640 00:35:12,960 --> 00:35:15,080 Speaker 4: that is buck. When you and I were growing up 641 00:35:15,239 --> 00:35:17,279 Speaker 4: to your point in Tom's point on like you see 642 00:35:17,280 --> 00:35:21,040 Speaker 4: a supermodel, there were famous people, but the idea was, oh, 643 00:35:21,040 --> 00:35:24,280 Speaker 4: they're on the cover of Maxim. That is Britney Spears, 644 00:35:24,600 --> 00:35:28,920 Speaker 4: that is Jessica Alba, that is Jennifer Love Hewett. Right, 645 00:35:29,000 --> 00:35:31,080 Speaker 4: I could run through the list of people who were 646 00:35:31,120 --> 00:35:33,520 Speaker 4: famous when we were growing up. They were on the 647 00:35:33,520 --> 00:35:37,839 Speaker 4: cover of Maxim, stuff, maybe sometimes Playboy. Now, all these 648 00:35:38,000 --> 00:35:41,520 Speaker 4: girls see some girl from their high school who is 649 00:35:41,560 --> 00:35:45,160 Speaker 4: getting famous as an influencer, or they see someone who 650 00:35:45,200 --> 00:35:48,359 Speaker 4: is getting famous in college in their sorority. 651 00:35:48,719 --> 00:35:49,839 Speaker 3: As an influencer, there. 652 00:35:49,719 --> 00:35:51,920 Speaker 4: Are girls I sometimes see these things come across my 653 00:35:51,960 --> 00:35:55,480 Speaker 4: feedbuck there are girls random sorority girls with a million 654 00:35:55,600 --> 00:35:59,880 Speaker 4: followers on Instagram now, and I think you look at 655 00:35:59,880 --> 00:36:02,400 Speaker 4: it and it's closer to you, and it makes you 656 00:36:02,640 --> 00:36:06,040 Speaker 4: angrier that you don't have that, and it makes you 657 00:36:06,200 --> 00:36:09,920 Speaker 4: more insecure because the proximity of fame is more in 658 00:36:10,000 --> 00:36:13,120 Speaker 4: your you know, venue than when you watched and saw 659 00:36:13,160 --> 00:36:15,600 Speaker 4: Britney Spears and she was famous, there was a level 660 00:36:15,600 --> 00:36:19,160 Speaker 4: of remove and that makes girls, I think, more insecure 661 00:36:19,200 --> 00:36:20,520 Speaker 4: because the fame is closer to them. 662 00:36:20,800 --> 00:36:22,839 Speaker 2: I put this out there before, and actually I talked 663 00:36:22,840 --> 00:36:25,840 Speaker 2: to Liz Willis this week on the podcast and our 664 00:36:25,880 --> 00:36:27,839 Speaker 2: Clan and Buck Feet about this. People go check it out. 665 00:36:27,880 --> 00:36:30,560 Speaker 2: It just went out today. But I asked her this question, 666 00:36:31,120 --> 00:36:34,040 Speaker 2: who's the Jordan Peterson for teenage and you know young 667 00:36:34,080 --> 00:36:38,759 Speaker 2: women right now? Who's the woman who takes this traditional 668 00:36:38,840 --> 00:36:42,600 Speaker 2: perspective on what it means to be a happy, healthy. 669 00:36:42,320 --> 00:36:45,040 Speaker 3: Woman these days? And there are not a lot of 670 00:36:45,040 --> 00:36:47,399 Speaker 3: good media answers to that right