1 00:00:00,120 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,400 --> 00:00:07,000 Speaker 1: Sexton Show Podcast. Second hour of Clay and Buck kicks 3 00:00:07,000 --> 00:00:09,560 Speaker 1: off right now. This is Buck coming to you solo today. 4 00:00:09,680 --> 00:00:14,080 Speaker 1: Clay is at his wife's law school graduation. He's spending 5 00:00:14,160 --> 00:00:16,840 Speaker 1: day with the family. Eight hundred two A two two 6 00:00:16,960 --> 00:00:21,040 Speaker 1: eight a two on the phone line, Paul in Shadow, 7 00:00:21,120 --> 00:00:23,640 Speaker 1: whatever you like. It is Friday, after all, so anything 8 00:00:23,680 --> 00:00:26,440 Speaker 1: that you think is important that we're talking to you 9 00:00:26,520 --> 00:00:32,680 Speaker 1: about here. The CNN town Hall continues to have a 10 00:00:33,479 --> 00:00:39,720 Speaker 1: bit of fallout, which I gotta say, it's pretty remarkable 11 00:00:39,800 --> 00:00:43,200 Speaker 1: really when you think about it. They have the leading 12 00:00:43,240 --> 00:00:46,400 Speaker 1: Republican on for a town hall, and you know what. 13 00:00:46,440 --> 00:00:49,080 Speaker 1: The part of it is that I think they really 14 00:00:49,120 --> 00:00:54,240 Speaker 1: couldn't stand. It's not that Trump was on CNN, although 15 00:00:54,240 --> 00:00:57,760 Speaker 1: they hate that, they hate that for sure, but it's 16 00:00:57,840 --> 00:01:05,160 Speaker 1: also that he didn't have a room full of sneering 17 00:01:05,840 --> 00:01:10,919 Speaker 1: libs who hate him to hiss and boo and shout 18 00:01:11,000 --> 00:01:16,679 Speaker 1: him down. He had a squad of maga folks for 19 00:01:16,720 --> 00:01:19,360 Speaker 1: the most part. I mean, that's who was there up 20 00:01:19,360 --> 00:01:23,319 Speaker 1: in New Hampshire, and that really left I think a 21 00:01:23,480 --> 00:01:28,480 Speaker 1: very bad taste in the mouths of the CNN audience 22 00:01:28,520 --> 00:01:30,600 Speaker 1: that was watching it. Because if Trump is going to 23 00:01:30,640 --> 00:01:33,040 Speaker 1: be on their channel, and that's how they think of it, right, 24 00:01:33,040 --> 00:01:35,800 Speaker 1: if he's going to be on that democratic line platform, 25 00:01:37,319 --> 00:01:41,840 Speaker 1: he needs to know that it is his job to 26 00:01:41,800 --> 00:01:44,280 Speaker 1: toe the line, that it is his job to say 27 00:01:44,319 --> 00:01:47,800 Speaker 1: the things that they want him. I'm sorry that the 28 00:01:47,920 --> 00:01:51,400 Speaker 1: audience needs to tow the line that they need to 29 00:01:51,400 --> 00:01:53,640 Speaker 1: say the things that they would say if they were 30 00:01:53,680 --> 00:01:58,080 Speaker 1: in his position. Right, So the audience is supposed to 31 00:01:58,120 --> 00:01:59,960 Speaker 1: be there to be boo terrible. I mean, I remember 32 00:02:00,320 --> 00:02:04,440 Speaker 1: when I used to go on CNN. It was always 33 00:02:04,960 --> 00:02:07,000 Speaker 1: it was it was illuminating because I go on and 34 00:02:07,080 --> 00:02:12,600 Speaker 1: I could make the most baseline, normal Republican argument, and 35 00:02:12,639 --> 00:02:14,720 Speaker 1: I did sometimes possible. I mean I would even go 36 00:02:14,760 --> 00:02:17,160 Speaker 1: and say things like, hey, when there's a big terrorist 37 00:02:17,200 --> 00:02:20,440 Speaker 1: attack by some guy who is a jihatis for ISIS 38 00:02:20,480 --> 00:02:23,560 Speaker 1: and these yellow lahuac bar, you know, I'm the most 39 00:02:23,680 --> 00:02:28,040 Speaker 1: mad at the terrorist and the terrorist ideology and the 40 00:02:28,040 --> 00:02:30,960 Speaker 1: people at ISIS, you know, in ISIS, but at CNN 41 00:02:31,000 --> 00:02:33,920 Speaker 1: sometimes they were mad at the lack of assimilation in Europe. 42 00:02:33,960 --> 00:02:35,919 Speaker 1: I mean, they had other problems that they would get 43 00:02:35,919 --> 00:02:38,640 Speaker 1: angry about. Right, That's but I would go on to 44 00:02:38,639 --> 00:02:41,480 Speaker 1: make the most normal argument imaginable, and I would look 45 00:02:41,680 --> 00:02:43,760 Speaker 1: and I learned not to do this afterwards on Twitter, 46 00:02:43,760 --> 00:02:46,240 Speaker 1: and it was Oh, you're so stupid and ugly and 47 00:02:46,280 --> 00:02:51,119 Speaker 1: you should just jump off a bridge. And it's like, oh, okay, whoa, whoa, CNN, 48 00:02:51,440 --> 00:02:52,760 Speaker 1: you need to calm down a little bit some of 49 00:02:52,800 --> 00:02:55,640 Speaker 1: the CNN watchers. So that is their expectation that if 50 00:02:55,680 --> 00:02:59,560 Speaker 1: you're on the right side, or even a true centrist, 51 00:02:59,760 --> 00:03:01,760 Speaker 1: a real centrist, not a make believe one who's just 52 00:03:01,800 --> 00:03:04,840 Speaker 1: there to dump on Republicans, the whole point is for 53 00:03:04,880 --> 00:03:10,800 Speaker 1: you to be attacked, maligned, undermined, and ridiculed. That didn't happen. 54 00:03:11,280 --> 00:03:15,000 Speaker 1: And so the CNN audience has the sad feelings now, 55 00:03:15,400 --> 00:03:20,320 Speaker 1: they're very sad. And so Anderson Cooper still has a 56 00:03:20,320 --> 00:03:24,440 Speaker 1: show over there, still going. I wouldn't say it's strong, 57 00:03:24,560 --> 00:03:28,200 Speaker 1: but still doing his thing over at CNN. After all 58 00:03:28,320 --> 00:03:33,040 Speaker 1: the years after weaponizing CNN into an anti Trump looney bin, 59 00:03:34,840 --> 00:03:38,760 Speaker 1: they're still doing their thing over there. Here is Anderson 60 00:03:38,880 --> 00:03:43,000 Speaker 1: Cooper trying to calm down all of the CNN audience 61 00:03:43,000 --> 00:03:47,040 Speaker 1: that is still furious about the town hall that happened 62 00:03:47,040 --> 00:03:47,680 Speaker 1: play fourteen. 63 00:03:47,800 --> 00:03:49,960 Speaker 2: Many of you think CNN shouldn't have given him any 64 00:03:49,960 --> 00:03:52,640 Speaker 2: platform to speak, and I understand the anger about that 65 00:03:52,800 --> 00:03:56,080 Speaker 2: giving him the audience the time. I get that, But 66 00:03:56,200 --> 00:03:58,880 Speaker 2: this is what I also get. The man you were 67 00:03:58,920 --> 00:04:01,720 Speaker 2: so deserved to see and hear from last night. Batman 68 00:04:01,960 --> 00:04:04,720 Speaker 2: is the front runner for the Republican nomination for president 69 00:04:05,240 --> 00:04:06,040 Speaker 2: and Cornell. 70 00:04:05,760 --> 00:04:08,160 Speaker 1: Poling no other Republican is even close. 71 00:04:08,800 --> 00:04:10,800 Speaker 2: You have every right to be outraged today and angry 72 00:04:10,800 --> 00:04:13,480 Speaker 2: and never watched this network again. But do you think 73 00:04:13,480 --> 00:04:16,159 Speaker 2: staying in your silo and only listening to people you 74 00:04:16,200 --> 00:04:18,240 Speaker 2: agree with is going to make that person go away? 75 00:04:19,040 --> 00:04:21,880 Speaker 2: If we all only listen to those we agree with, 76 00:04:22,000 --> 00:04:23,800 Speaker 2: it may actually do the opposite. 77 00:04:25,320 --> 00:04:30,880 Speaker 1: It's fascinating to see this change because you know that 78 00:04:31,320 --> 00:04:34,279 Speaker 1: back in the twenty sixteen election cycle, they had Trump 79 00:04:34,279 --> 00:04:36,320 Speaker 1: on all the time, I should say they had his 80 00:04:36,440 --> 00:04:38,440 Speaker 1: rallies on. They weren't having town halls with him in 81 00:04:38,440 --> 00:04:41,560 Speaker 1: this way, but they would. They would run the Trump rally. 82 00:04:41,680 --> 00:04:44,119 Speaker 1: They wouldn't even have an anchor there to to push 83 00:04:44,200 --> 00:04:47,520 Speaker 1: back on him. Excuse me, sir, excuse me. They didn't 84 00:04:47,560 --> 00:04:51,200 Speaker 1: have that. Then you know why, because it was the 85 00:04:51,240 --> 00:04:53,440 Speaker 1: belief of the Democrats, as you all know, and it's 86 00:04:53,560 --> 00:04:57,240 Speaker 1: a remarkable moment in American political history. It was their 87 00:04:57,320 --> 00:05:01,919 Speaker 1: belief that the more people saw Trump, it was just 88 00:05:02,000 --> 00:05:05,960 Speaker 1: a spectacle they could laugh at. It was a clown show, 89 00:05:06,000 --> 00:05:08,800 Speaker 1: it was buffoonery. It was a circus that no one 90 00:05:08,800 --> 00:05:14,919 Speaker 1: would take seriously. And then he beat Hillary Hellow, the 91 00:05:15,040 --> 00:05:21,640 Speaker 1: least charming politician in modern American history. Oh, that's amazing. 92 00:05:21,680 --> 00:05:23,120 Speaker 1: She got as far as she did, is it? What 93 00:05:23,160 --> 00:05:26,680 Speaker 1: do you think about it? So that's what happened there. 94 00:05:26,680 --> 00:05:29,880 Speaker 1: So now CNN doesn't really know, well, can we even 95 00:05:30,080 --> 00:05:32,000 Speaker 1: put him on air if we just attack him with 96 00:05:32,040 --> 00:05:33,880 Speaker 1: the anchor? But we have the The part of it 97 00:05:33,920 --> 00:05:36,200 Speaker 1: that they couldn't stomach was that the audience was with Trump. 98 00:05:37,000 --> 00:05:38,680 Speaker 1: That was I think the part of it that was 99 00:05:38,920 --> 00:05:42,280 Speaker 1: far too much. And now it's funny though, because there 100 00:05:42,600 --> 00:05:46,480 Speaker 1: this happens one time, one night and over at MSNBC. 101 00:05:46,720 --> 00:05:51,200 Speaker 1: Now there's a competitive situation playing out here over at MSNBC. 102 00:05:52,640 --> 00:05:58,080 Speaker 1: You have Joy Reid saying CNN wants to be Fox 103 00:05:58,240 --> 00:06:00,480 Speaker 1: News played thirteen things. 104 00:06:00,360 --> 00:06:02,719 Speaker 3: To me became clear last night. Number one, CNN wants 105 00:06:02,760 --> 00:06:05,680 Speaker 3: desperately to be the new home for Republican viewers. They 106 00:06:05,720 --> 00:06:07,160 Speaker 3: want to be the new folks. They want to move 107 00:06:07,200 --> 00:06:10,520 Speaker 3: to the right agenda. Clearly and all Chris Liz used 108 00:06:10,520 --> 00:06:12,520 Speaker 3: to work here, like he used to the EP of 109 00:06:12,560 --> 00:06:15,960 Speaker 3: Morning Joe for a while, he used to work at CNN, CBS. 110 00:06:15,960 --> 00:06:18,400 Speaker 3: I'm sorry, but it's clear that what he's doing over 111 00:06:18,440 --> 00:06:21,880 Speaker 3: there and under John Malone, you know who's the big investor, 112 00:06:21,920 --> 00:06:24,359 Speaker 3: and the people above him, it's clear that the goal 113 00:06:24,480 --> 00:06:26,880 Speaker 3: is to make it a friendly place for MAGA. 114 00:06:28,040 --> 00:06:32,320 Speaker 1: A friendly place for MAGA. It's funny, because do any 115 00:06:32,360 --> 00:06:34,920 Speaker 1: of you feel like CNN is a friendly place think 116 00:06:34,920 --> 00:06:37,400 Speaker 1: about the anchor is no, sir, you're lying, you know, 117 00:06:37,520 --> 00:06:39,560 Speaker 1: at Kaitlyn Collins, you're lying. You're lying. That's not true, 118 00:06:39,600 --> 00:06:44,320 Speaker 1: that's not true. A friendly place for MAGA, that's not 119 00:06:44,360 --> 00:06:49,680 Speaker 1: going to happen. But the Democrat political media audience has 120 00:06:49,800 --> 00:06:56,720 Speaker 1: been conditioned, in near Pavlovian fashion to expect that there 121 00:06:56,760 --> 00:07:01,400 Speaker 1: won't be any any scary, hurtful thought that Republicans have 122 00:07:02,000 --> 00:07:05,479 Speaker 1: on their channels, on their screens unless it is purely 123 00:07:05,520 --> 00:07:08,880 Speaker 1: to be ridiculed. It is not to be taken seriously. 124 00:07:08,920 --> 00:07:14,440 Speaker 1: It is purely to be a point of ridicule. And 125 00:07:16,440 --> 00:07:20,200 Speaker 1: you really do feel like with so many of these 126 00:07:20,240 --> 00:07:24,720 Speaker 1: Democrat pundits when they speak about these issues, they've abandoned 127 00:07:24,800 --> 00:07:27,600 Speaker 1: principle short. But they've also never even considered that the 128 00:07:27,640 --> 00:07:30,600 Speaker 1: other side might have an argument that's worth hearing, not 129 00:07:30,720 --> 00:07:32,720 Speaker 1: that they would agree with, but that they should at 130 00:07:32,760 --> 00:07:36,520 Speaker 1: least know and understand. I could sit here and make 131 00:07:36,560 --> 00:07:39,800 Speaker 1: the arguments to you on MSNBC. I could probably make 132 00:07:39,840 --> 00:07:42,360 Speaker 1: them better than the people at MSNBC do. I could 133 00:07:42,360 --> 00:07:47,200 Speaker 1: make the arguments from going pretty far all the way. 134 00:07:47,200 --> 00:07:48,640 Speaker 1: I'd say, all the way to the left. I mean, 135 00:07:48,680 --> 00:07:51,800 Speaker 1: I would feel dirty doing it, I'd feel bad about myself, 136 00:07:51,800 --> 00:07:53,960 Speaker 1: but I would know how to do it. I understand 137 00:07:54,000 --> 00:07:57,640 Speaker 1: what they say. Remember, the first thing is to understand 138 00:07:57,720 --> 00:08:02,920 Speaker 1: the mindset of the contemporary democrat in America. You have 139 00:08:03,040 --> 00:08:06,920 Speaker 1: to just not just embrace, but you have to luxuriate 140 00:08:07,120 --> 00:08:12,000 Speaker 1: in hypocrisy. The whole point is that you get to 141 00:08:12,040 --> 00:08:16,240 Speaker 1: pretend to be someone and to care about things or 142 00:08:16,520 --> 00:08:19,600 Speaker 1: want things a certain way that you don't want at all, 143 00:08:20,320 --> 00:08:22,320 Speaker 1: that you're not going to live your life that way. 144 00:08:23,200 --> 00:08:26,080 Speaker 1: The fun of being a leftist, if you can say 145 00:08:26,080 --> 00:08:29,360 Speaker 1: there's such a thing. Certainly the benefit of being a 146 00:08:29,440 --> 00:08:32,679 Speaker 1: leftist in material terms, is you get to make millions 147 00:08:32,679 --> 00:08:37,439 Speaker 1: of dollars while talking about how you love radical socialism 148 00:08:37,720 --> 00:08:42,280 Speaker 1: so much or just socialism. You get to live your life. 149 00:08:42,320 --> 00:08:44,240 Speaker 1: You get to fly around in private jets if you're 150 00:08:44,280 --> 00:08:47,120 Speaker 1: really important, while talking about the problems of climate change. 151 00:08:47,120 --> 00:08:49,720 Speaker 1: You get to live in safe neighborhoods where you have 152 00:08:49,960 --> 00:08:54,800 Speaker 1: armed security, often while making sure that other people, including 153 00:08:54,840 --> 00:08:57,520 Speaker 1: people in high crime neighborhoods who are law abiding and 154 00:08:57,559 --> 00:09:01,280 Speaker 1: just want to be safe, are left defenseless, and so 155 00:09:01,400 --> 00:09:04,079 Speaker 1: on and so forth. Go down the whole list. I mean, 156 00:09:04,120 --> 00:09:07,400 Speaker 1: members of Congress are effectively exempted from insider trading laws 157 00:09:07,400 --> 00:09:09,680 Speaker 1: while they pass laws that send people away to prison 158 00:09:09,720 --> 00:09:13,160 Speaker 1: for years for doing the same thing. Remember with Obamacare, 159 00:09:13,200 --> 00:09:16,280 Speaker 1: they oh, they loved Obamacare. The members of Congress, they 160 00:09:16,360 --> 00:09:18,760 Speaker 1: didn't want to be subject to Obamacare, like they didn't 161 00:09:18,760 --> 00:09:20,439 Speaker 1: want to be on any of those plans. But they 162 00:09:20,440 --> 00:09:23,400 Speaker 1: want everybody else to do. That's the basis of it. 163 00:09:23,440 --> 00:09:27,920 Speaker 1: That's the basic standard for being a Democrat, because no 164 00:09:27,960 --> 00:09:32,400 Speaker 1: one would really want to live with what they want 165 00:09:32,440 --> 00:09:35,640 Speaker 1: for other people as a leftist. And this is why 166 00:09:35,679 --> 00:09:37,800 Speaker 1: it's so funny when I call them communists, or I'll 167 00:09:37,880 --> 00:09:40,880 Speaker 1: discuss discuss issues like this and refer to them as 168 00:09:41,120 --> 00:09:44,080 Speaker 1: the Communist Democrats, They'll say, well, they're not true communists. 169 00:09:44,120 --> 00:09:49,000 Speaker 1: Really is the Chinese Communist Party true? Not true communists? 170 00:09:49,320 --> 00:09:52,360 Speaker 1: Who really is the true communist I mean, let's think 171 00:09:52,360 --> 00:09:56,960 Speaker 1: about that for a second. You sit around, you recognize 172 00:09:57,600 --> 00:10:01,199 Speaker 1: every time this is really done anywhere, there's a class 173 00:10:01,200 --> 00:10:05,240 Speaker 1: of people who are incredibly powerful, powerful, incredibly wealthy, and 174 00:10:05,360 --> 00:10:10,960 Speaker 1: live a different existence from the proletarians and the bourgeois 175 00:10:10,960 --> 00:10:14,200 Speaker 1: and everybody else that they pretend to either support or 176 00:10:14,240 --> 00:10:17,760 Speaker 1: that they openly oppress. Right, the whole point of it 177 00:10:17,840 --> 00:10:21,440 Speaker 1: is you get to live a very different life. There's 178 00:10:21,640 --> 00:10:26,680 Speaker 1: a great book about this by Milivan Gilos called The 179 00:10:26,720 --> 00:10:30,920 Speaker 1: New Class, and if you haven't ever read it, I 180 00:10:30,960 --> 00:10:34,640 Speaker 1: would say it's worth I think it's might be out 181 00:10:34,679 --> 00:10:36,559 Speaker 1: of print, you can usually pick it up a Milivan 182 00:10:36,640 --> 00:10:40,920 Speaker 1: Gilas The New Class. He talks about in some detail 183 00:10:41,920 --> 00:10:45,760 Speaker 1: how the whole point of the system in Yugoslavia, the 184 00:10:45,800 --> 00:10:51,040 Speaker 1: communists in Yugoslavia, was that they were able to live 185 00:10:51,200 --> 00:10:55,080 Speaker 1: these lives of power, ease and wealth relative to the 186 00:10:55,080 --> 00:10:58,520 Speaker 1: rest of society. That's what communism really is, and that's 187 00:10:58,559 --> 00:11:01,280 Speaker 1: really what being a Democrat is in different form today, 188 00:11:01,679 --> 00:11:05,320 Speaker 1: different name, but similar idea. They don't actually want this 189 00:11:05,440 --> 00:11:09,080 Speaker 1: stuff for themselves. They want it all for you. And 190 00:11:09,120 --> 00:11:12,840 Speaker 1: this is why when you have Donald Trump on TV 191 00:11:14,120 --> 00:11:18,040 Speaker 1: and able to expose them for lacking the principles they 192 00:11:18,120 --> 00:11:23,079 Speaker 1: care they pretend to espouse, not really having any connection 193 00:11:23,200 --> 00:11:24,920 Speaker 1: to the working class. I mean, one of the funniest 194 00:11:24,960 --> 00:11:27,520 Speaker 1: things is liberal elites going on TV all the time. 195 00:11:27,559 --> 00:11:30,920 Speaker 1: We care so much about the working class. That's why 196 00:11:31,000 --> 00:11:34,400 Speaker 1: they're going to raise taxes, raise you, take more of 197 00:11:34,440 --> 00:11:37,240 Speaker 1: your money, have more regulation, make you live in more crime, 198 00:11:37,320 --> 00:11:41,040 Speaker 1: bringing more illegal immigrants. Oh, that's great for the working class. 199 00:11:42,000 --> 00:11:43,960 Speaker 1: Only in the issue only on the UH. 200 00:11:45,440 --> 00:11:45,520 Speaker 4: On. 201 00:11:45,640 --> 00:11:52,119 Speaker 1: The concern of immigration is supply and demand magically suspended. 202 00:11:52,200 --> 00:11:55,400 Speaker 1: Doesn't doesn't matter anymore. So you can bring millions of 203 00:11:55,480 --> 00:11:58,199 Speaker 1: low wage workers into the country low I should say, 204 00:11:58,200 --> 00:12:03,079 Speaker 1: low skilled workers competing for entry level wage jobs, and 205 00:12:03,120 --> 00:12:05,440 Speaker 1: that won't have any effect. This has been proven many 206 00:12:05,480 --> 00:12:07,520 Speaker 1: times by anyone who really looks at analysis that it's 207 00:12:07,559 --> 00:12:10,760 Speaker 1: not true. It's just that the wages change in different 208 00:12:10,760 --> 00:12:14,440 Speaker 1: places depending on the migration patterns of where illegal immigrants 209 00:12:14,480 --> 00:12:17,080 Speaker 1: are clustering at any point in time. That's what which 210 00:12:17,080 --> 00:12:20,640 Speaker 1: makes perfect sense. Right. If you have a million illegals 211 00:12:20,679 --> 00:12:24,120 Speaker 1: show up in New York City, more illegals, then the 212 00:12:24,160 --> 00:12:26,600 Speaker 1: wage scale in New York will be effected. It probably 213 00:12:26,600 --> 00:12:30,439 Speaker 1: isn't going to ripple all the way across to Washington State. Understandable. 214 00:12:32,080 --> 00:12:34,760 Speaker 1: But they're lying to you constantly about all of this, 215 00:12:35,400 --> 00:12:38,880 Speaker 1: and they can't actually allow someone to make the case 216 00:12:39,000 --> 00:12:43,040 Speaker 1: directly without them being booed and jeered. And even then, 217 00:12:43,080 --> 00:12:48,280 Speaker 1: I think they would still be complaining. If Donald Trump 218 00:12:48,320 --> 00:12:50,920 Speaker 1: had had a hostile crowd there, they would still say, 219 00:12:50,960 --> 00:12:54,640 Speaker 1: don't platform him. He's the leading Republican contender. Don't platform him. 220 00:12:55,520 --> 00:12:59,920 Speaker 1: My friend Molly Hemingway's brilliant writer, and she's over at 221 00:13:00,320 --> 00:13:03,880 Speaker 1: Fox as a contributor. She says here, the media meltdown 222 00:13:04,080 --> 00:13:07,360 Speaker 1: over Trump just shows they don't trust the American people 223 00:13:07,360 --> 00:13:09,720 Speaker 1: to see and make decisions. They have to run a 224 00:13:09,720 --> 00:13:11,360 Speaker 1: propaganda machine. Play fifteen. 225 00:13:11,520 --> 00:13:14,079 Speaker 4: This is not just the former president, this is the 226 00:13:14,440 --> 00:13:18,960 Speaker 4: like far and away top candidate for the next Republican nomination. 227 00:13:19,280 --> 00:13:22,320 Speaker 4: The idea, like the media meltdown over this means that 228 00:13:22,360 --> 00:13:25,400 Speaker 4: they don't really trust the American people, like ask him questions, 229 00:13:25,480 --> 00:13:28,000 Speaker 4: get the answers. Trust the American people to make the decision, 230 00:13:28,240 --> 00:13:31,240 Speaker 4: but they don't. They basically handled everything by silencing him 231 00:13:31,280 --> 00:13:34,400 Speaker 4: for the last few years, and it actually counterintuitively made it. 232 00:13:34,320 --> 00:13:36,160 Speaker 1: All that more refreshing to see him. 233 00:13:36,160 --> 00:13:38,000 Speaker 4: You're like not sick of hearing him for the last 234 00:13:38,000 --> 00:13:40,000 Speaker 4: few years, so it was like, Wow, I forgot this 235 00:13:40,120 --> 00:13:40,480 Speaker 4: was great. 236 00:13:41,920 --> 00:13:46,160 Speaker 1: It is very very engaging, very entertaining someone taking the 237 00:13:46,200 --> 00:13:49,040 Speaker 1: fight to the other side. We can all understand. And 238 00:13:49,160 --> 00:13:51,720 Speaker 1: I think that's also a really important point. They effectively 239 00:13:51,720 --> 00:13:55,040 Speaker 1: deep platform Trump for the internet under the Biden regime. 240 00:13:56,200 --> 00:13:58,560 Speaker 1: That's had a major effect. And yeah, he's that truth 241 00:13:58,640 --> 00:14:01,800 Speaker 1: social I know, but it just doesn't have the reach, 242 00:14:01,920 --> 00:14:06,240 Speaker 1: doesn't have the user base that say Facebook does. Facebook is, 243 00:14:07,040 --> 00:14:10,120 Speaker 1: you know, hundreds of billions of dollar market cap company 244 00:14:10,120 --> 00:14:12,480 Speaker 1: with a billion users globally, right. I mean, maybe truth 245 00:14:12,520 --> 00:14:17,040 Speaker 1: gets there one day, but it's a different, different scale. 246 00:14:17,160 --> 00:14:22,040 Speaker 1: And this just shows you once again they isn't it interesting. 247 00:14:22,960 --> 00:14:25,240 Speaker 1: It's not just elections they want to rig. It's the 248 00:14:25,280 --> 00:14:28,160 Speaker 1: marketplace of ideas too. It all has to be rigged 249 00:14:28,720 --> 00:14:32,680 Speaker 1: because in a fair system they lose. Hosting a three 250 00:14:32,680 --> 00:14:35,720 Speaker 1: hour radio show is a lot longer than three hours 251 00:14:35,720 --> 00:14:37,920 Speaker 1: when you factor in all the prep that Clay and 252 00:14:38,000 --> 00:14:40,680 Speaker 1: I do, it's morning and night. I'm texting Clayson times. 253 00:14:40,680 --> 00:14:42,160 Speaker 1: At midnight. I'm being like, oh, we got to talk 254 00:14:42,200 --> 00:14:44,520 Speaker 1: about this tomorrow, and he's texting me early in the morning, Oh, 255 00:14:44,520 --> 00:14:46,640 Speaker 1: we got to talk about this. We love it, but 256 00:14:46,720 --> 00:14:49,840 Speaker 1: it does require a lot of energy and focus, and 257 00:14:49,920 --> 00:14:51,280 Speaker 1: I got to be able to get through the day 258 00:14:51,640 --> 00:14:54,560 Speaker 1: with that energy and focus at hand. That's why Chalk's 259 00:14:54,640 --> 00:14:57,320 Speaker 1: daily supplements are so great. 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Start 269 00:15:28,320 --> 00:15:31,480 Speaker 1: feeling more energized after signing up for a daily regiment 270 00:15:31,520 --> 00:15:34,920 Speaker 1: of Chalk's products. Again, you can find them online at 271 00:15:35,000 --> 00:15:39,760 Speaker 1: Chalk dot com. That cchoq dot com get thirty five 272 00:15:39,880 --> 00:15:42,520 Speaker 1: percent off any subscription you purchased for life when you 273 00:15:42,600 --> 00:15:46,600 Speaker 1: use my name Buck in your purchase process. Thirty five 274 00:15:46,720 --> 00:15:53,040 Speaker 1: percent off with promo code Buck at chalkcchoq dot Com. 275 00:15:53,120 --> 00:15:57,480 Speaker 1: Clay Travis and Buck Sexton chuck up a win for 276 00:15:57,720 --> 00:16:02,200 Speaker 1: Team Reality. Now, I'm not a man at it. Even 277 00:16:02,200 --> 00:16:04,480 Speaker 1: though I, uh, it's funny, I didn't want to bring 278 00:16:04,520 --> 00:16:06,840 Speaker 1: up them to see I anymore. CEI brand is it's 279 00:16:07,280 --> 00:16:09,960 Speaker 1: maybe it was never great, but it's gotten worse with 280 00:16:10,320 --> 00:16:12,800 Speaker 1: recent years. But I'm not a math guy or a 281 00:16:12,840 --> 00:16:16,280 Speaker 1: tech guy despite having Oh no, I don't think anyone 282 00:16:16,280 --> 00:16:17,680 Speaker 1: thinks that in the CI is good at math or 283 00:16:17,680 --> 00:16:19,880 Speaker 1: tech either. But I am good enough at math to 284 00:16:20,000 --> 00:16:26,440 Speaker 1: know that this is statistically really unlikely. Marcia gay Harden 285 00:16:26,720 --> 00:16:30,560 Speaker 1: is a Hollywood actress and she's going viral right now. 286 00:16:30,560 --> 00:16:33,000 Speaker 1: I believe this is from libs of TikTok, or maybe 287 00:16:33,040 --> 00:16:35,120 Speaker 1: it's from end Wokeness. There are these great accounts that 288 00:16:35,240 --> 00:16:37,200 Speaker 1: just show you what the left really thinks and what 289 00:16:37,240 --> 00:16:43,920 Speaker 1: they really believe. Play twenty three if you would, sir, 290 00:16:44,680 --> 00:16:47,200 Speaker 1: I threw this out. They were good. Oh we don't 291 00:16:47,240 --> 00:16:50,200 Speaker 1: have twenty three? How do we not have to we 292 00:16:50,240 --> 00:16:51,920 Speaker 1: have twenty three. I know we do because it's a 293 00:16:51,920 --> 00:16:53,680 Speaker 1: on the sheet that says we've got it. And I 294 00:16:53,800 --> 00:16:56,600 Speaker 1: have so much faith because if we don't have it, 295 00:16:56,920 --> 00:17:00,200 Speaker 1: then I'm just gonna all right. I'll read the transp 296 00:17:00,400 --> 00:17:05,040 Speaker 1: for clip twenty three. It says, my children are I'm sorry, 297 00:17:04,880 --> 00:17:08,280 Speaker 1: my children are all queer. This is the quote. My 298 00:17:08,440 --> 00:17:12,960 Speaker 1: eldest child is non binary, my son is gay, my 299 00:17:13,119 --> 00:17:18,239 Speaker 1: youngest is fluid. So this is a Hollywood actress who 300 00:17:18,359 --> 00:17:22,520 Speaker 1: is telling you that all three of her she describes 301 00:17:22,560 --> 00:17:24,640 Speaker 1: them as as queer. This is the quote. But they're 302 00:17:24,680 --> 00:17:32,239 Speaker 1: all members of the lgbt QIA plus community. And I'm 303 00:17:32,320 --> 00:17:35,119 Speaker 1: just wondering, but what point do we get to start 304 00:17:35,160 --> 00:17:39,320 Speaker 1: to look at the math here and say, hmmm, that's 305 00:17:39,480 --> 00:17:45,840 Speaker 1: that seems really unlikely. That seems like something that maybe 306 00:17:45,920 --> 00:17:50,840 Speaker 1: is more related to the people who are pushing this 307 00:17:51,080 --> 00:17:53,479 Speaker 1: on them, like maybe a in this case, a parent 308 00:17:53,520 --> 00:17:58,120 Speaker 1: who is a very leftist Hollywood type. Hmm. Maybe we'll 309 00:17:58,160 --> 00:18:00,359 Speaker 1: have that sound. But we come back. We'll try to 310 00:18:00,480 --> 00:18:02,359 Speaker 1: my fellow gun owners out there, If you're getting the 311 00:18:02,440 --> 00:18:04,879 Speaker 1: range this weekend, good for you. For those of us 312 00:18:04,880 --> 00:18:07,760 Speaker 1: who can't, the next best thing is a nom all 313 00:18:07,800 --> 00:18:11,200 Speaker 1: electronic training tool called the mantis X look. It works 314 00:18:11,240 --> 00:18:13,800 Speaker 1: so well. It simply attaches to your firearm like a 315 00:18:13,800 --> 00:18:17,159 Speaker 1: weapon life, connects to your smartphone and the mantis x 316 00:18:17,240 --> 00:18:20,040 Speaker 1: app that you download. The mantis X gives you data 317 00:18:20,119 --> 00:18:23,040 Speaker 1: driven real time feedback in your technique, helps with your 318 00:18:23,080 --> 00:18:26,399 Speaker 1: aim by guiding you through drills and courses. Nearly everyone 319 00:18:26,440 --> 00:18:29,480 Speaker 1: sees improvement within the first twenty minutes of using the 320 00:18:29,520 --> 00:18:32,440 Speaker 1: mantis X. Product is also being used by the US 321 00:18:32,480 --> 00:18:36,760 Speaker 1: military and special forces. It's military grade technology at an 322 00:18:36,760 --> 00:18:39,639 Speaker 1: affordable price. The mantis X it is a must have 323 00:18:39,720 --> 00:18:42,000 Speaker 1: for every gun owner. I'm actually just texting with my 324 00:18:42,040 --> 00:18:43,840 Speaker 1: brothers today about when we're getting the range the next 325 00:18:43,840 --> 00:18:45,879 Speaker 1: time they can be like, oh wow, look at this, 326 00:18:46,000 --> 00:18:48,520 Speaker 1: Look at that trigger pull, Look at that site picture 327 00:18:48,560 --> 00:18:50,920 Speaker 1: lineup that he's got there he's been using as mantis X. 328 00:18:51,440 --> 00:18:55,680 Speaker 1: Get yours today, m A and tis x dot com. 329 00:18:55,720 --> 00:19:00,199 Speaker 1: That's mantis x dot com. Alright, as promised, I do 330 00:19:00,400 --> 00:19:06,080 Speaker 1: have this sound bite now for you from Marcia gay Harden. 331 00:19:06,640 --> 00:19:12,399 Speaker 1: She's an actress. I am not familiar with her work really. 332 00:19:12,880 --> 00:19:15,919 Speaker 1: I think the most well known movie she's in is 333 00:19:16,440 --> 00:19:20,760 Speaker 1: Meet Joe Black. I am a big fan of nineties cinema. 334 00:19:21,400 --> 00:19:24,880 Speaker 1: But I meet Joe black Is, I haven't seen that's 335 00:19:24,960 --> 00:19:28,080 Speaker 1: nineteen ninety eight. There's some others on here anyway, not 336 00:19:28,160 --> 00:19:31,880 Speaker 1: neither here nor there. But not a point is she's 337 00:19:31,920 --> 00:19:35,560 Speaker 1: going viral right now because she claims that her three children. 338 00:19:36,240 --> 00:19:39,040 Speaker 1: It's not like, well, you know what, I'll let's let 339 00:19:39,119 --> 00:19:40,560 Speaker 1: her say it and then we can start to break 340 00:19:40,560 --> 00:19:41,600 Speaker 1: down the numbers a little bit. 341 00:19:41,960 --> 00:19:44,320 Speaker 5: What drives me is my children are all queer. My 342 00:19:44,440 --> 00:19:47,320 Speaker 5: eldest child's non binary, my son is gay, my youngest 343 00:19:48,119 --> 00:19:52,440 Speaker 5: is fluid. And you know, they're my kids, and they 344 00:19:52,480 --> 00:19:53,480 Speaker 5: teach me every day. 345 00:19:55,320 --> 00:20:00,119 Speaker 1: Non binary, gay, and fluid. Those are the designations she 346 00:20:00,200 --> 00:20:04,200 Speaker 1: has for her children. And if you look at this, 347 00:20:04,320 --> 00:20:08,160 Speaker 1: I know there's been a this this like mass. There's 348 00:20:08,160 --> 00:20:09,840 Speaker 1: all this data now that's meant to show you. I 349 00:20:09,880 --> 00:20:11,720 Speaker 1: think the data is meant to obscure in a lot 350 00:20:11,720 --> 00:20:15,800 Speaker 1: of ways what's really happening, which is the indoctrination, particularly 351 00:20:15,800 --> 00:20:21,520 Speaker 1: of children, and in doctrination not it's sometimes parents, sometimes schools, 352 00:20:21,760 --> 00:20:25,280 Speaker 1: sometimes you know, TikTok and media, but there is a 353 00:20:25,320 --> 00:20:29,080 Speaker 1: brainwashing that is going on of young people very clearly 354 00:20:29,920 --> 00:20:33,639 Speaker 1: to think that they are all on this spectrum that 355 00:20:33,760 --> 00:20:38,159 Speaker 1: is ever changing, and there are additions, hence the plus 356 00:20:38,200 --> 00:20:43,920 Speaker 1: at the end, lgb t Q I A plus. Second time, 357 00:20:43,920 --> 00:20:45,560 Speaker 1: I'm bringing up CI in the show. I used to 358 00:20:45,560 --> 00:20:48,080 Speaker 1: know acronyms pretty well. CIA. You kind of live in 359 00:20:48,080 --> 00:20:50,880 Speaker 1: the acronym world. We never had an acronym that long 360 00:20:50,920 --> 00:20:54,400 Speaker 1: that I can remember. Lgbt q I. Well, now there 361 00:20:54,440 --> 00:20:57,680 Speaker 1: is a like transgender. I'm being serious. There's actually Transgender 362 00:20:57,680 --> 00:21:00,840 Speaker 1: Appreciation Day and all these federal agencies and they're trying 363 00:21:00,880 --> 00:21:06,000 Speaker 1: to increase their trands, their trans hiring as much as 364 00:21:06,040 --> 00:21:09,119 Speaker 1: they can. Because when you're talking about some of the 365 00:21:09,200 --> 00:21:12,840 Speaker 1: FBI or CIA, you know, whether they identify as non 366 00:21:12,880 --> 00:21:17,879 Speaker 1: binary or not. That's very important to the mission. So yeah, 367 00:21:18,320 --> 00:21:20,080 Speaker 1: let's look at the numbers here for a second. He's 368 00:21:20,119 --> 00:21:22,360 Speaker 1: got this reminds me a little bit of the Disney 369 00:21:22,560 --> 00:21:25,520 Speaker 1: chief of content. Remember this woman. Maybe we'll pull that 370 00:21:25,560 --> 00:21:28,720 Speaker 1: audio too, who claimed to have I think it was 371 00:21:29,280 --> 00:21:32,840 Speaker 1: either two or three children who were all also had 372 00:21:32,880 --> 00:21:34,760 Speaker 1: any of you heard? I just asked you. I know 373 00:21:34,880 --> 00:21:39,560 Speaker 1: this is anecdotal, but if I said you had five 374 00:21:39,640 --> 00:21:45,560 Speaker 1: years ago, ten years ago, were you hearing actresses coming 375 00:21:45,600 --> 00:21:49,199 Speaker 1: out to say or corporate executives coming out to say that, 376 00:21:49,280 --> 00:21:51,200 Speaker 1: you know, three or four of my three kids or 377 00:21:51,240 --> 00:21:56,280 Speaker 1: four kids, they're all these new gender identities, and are 378 00:21:56,280 --> 00:21:59,000 Speaker 1: we supposed to believe? So is this now an innate thing? 379 00:21:59,720 --> 00:22:03,879 Speaker 1: Or is this a conditioned thing? Is this an identity? 380 00:22:03,920 --> 00:22:07,560 Speaker 1: Because the whole part of the issue here is if 381 00:22:07,560 --> 00:22:12,120 Speaker 1: they're saying it's a fluid identity, well then that means 382 00:22:12,160 --> 00:22:15,240 Speaker 1: it is changing. And we know from d transitioners that 383 00:22:15,280 --> 00:22:20,439 Speaker 1: even the trans identity, sometimes people decide who have become 384 00:22:20,560 --> 00:22:23,480 Speaker 1: trans that they are no longer going to be trans. 385 00:22:24,160 --> 00:22:27,119 Speaker 1: So what does that tell you about whether is this 386 00:22:27,119 --> 00:22:29,560 Speaker 1: this is innate? Characters? No, it can't be an eight 387 00:22:29,600 --> 00:22:33,040 Speaker 1: It has to be. This is a nature nurture argument, right, 388 00:22:33,200 --> 00:22:37,760 Speaker 1: This has to be a predominantly, if not entirely nurture 389 00:22:37,800 --> 00:22:41,800 Speaker 1: as in environmental situation. Right, I mean it has to be, 390 00:22:42,000 --> 00:22:47,879 Speaker 1: doesn't it. Now You've got gen Z, you know, saying 391 00:22:47,920 --> 00:22:52,800 Speaker 1: something like a twenty percent of a gen Z identifies 392 00:22:52,880 --> 00:22:59,000 Speaker 1: on this LGBTQUI A plus spectrum. And you say, well, 393 00:22:59,040 --> 00:23:01,200 Speaker 1: is this because they want you to be The left 394 00:23:01,240 --> 00:23:04,720 Speaker 1: wants you to believe that this is because people are 395 00:23:04,720 --> 00:23:07,720 Speaker 1: now free to be themselves you're free to be yourself. 396 00:23:08,640 --> 00:23:11,200 Speaker 1: But if that's the case, why are they so interested 397 00:23:12,000 --> 00:23:16,760 Speaker 1: in going to children at the youngest age possible. They 398 00:23:16,880 --> 00:23:22,639 Speaker 1: want to introduce sexual identity and norms and even behaviors 399 00:23:22,640 --> 00:23:26,320 Speaker 1: and practices to children, and an age that is far 400 00:23:26,440 --> 00:23:33,720 Speaker 1: younger than say, your cisgender standard. Heterosexual parents are trying 401 00:23:33,760 --> 00:23:38,119 Speaker 1: to introduce this, right, It's not like we're saying, oh, no, 402 00:23:38,880 --> 00:23:43,200 Speaker 1: we don't want you teaching our third grader about being 403 00:23:43,440 --> 00:23:47,040 Speaker 1: pan sexual and gender fluid. We just really want to 404 00:23:47,040 --> 00:23:50,400 Speaker 1: get into, like, you know, all the other stuff that's 405 00:23:50,400 --> 00:23:52,399 Speaker 1: going on in the realm of sex and sexuality, so 406 00:23:52,440 --> 00:23:55,919 Speaker 1: they know, and not even just third grade, you know, kindergarten. No, 407 00:23:56,040 --> 00:23:59,520 Speaker 1: that's not the argument. Notice one side wants to inject 408 00:23:59,520 --> 00:24:02,520 Speaker 1: this stuff into the curriculum, into the classrooms as young 409 00:24:02,560 --> 00:24:07,040 Speaker 1: as they possibly can. Why and when we say, hold on, 410 00:24:07,080 --> 00:24:09,639 Speaker 1: can you not do that? And this just happened here 411 00:24:09,680 --> 00:24:12,879 Speaker 1: in Florida. The Parental Rights and Education Bill, which I 412 00:24:12,880 --> 00:24:14,960 Speaker 1: think everyone needs to know, is the real name of 413 00:24:15,000 --> 00:24:17,920 Speaker 1: the bill that they have tried to slander with some 414 00:24:18,280 --> 00:24:21,000 Speaker 1: other name. The Parental Rights and Education Bill, which even 415 00:24:21,040 --> 00:24:23,399 Speaker 1: Democrats in the state of Florida supported and Ron De 416 00:24:23,440 --> 00:24:27,000 Speaker 1: Santis took a tremendous amount of heat four from the 417 00:24:27,119 --> 00:24:29,600 Speaker 1: national media, but not from people who live in a state. 418 00:24:29,960 --> 00:24:34,159 Speaker 1: Not really, they were on board with this. He was saying, 419 00:24:34,200 --> 00:24:36,120 Speaker 1: can we just not do this? I know they've raised 420 00:24:36,119 --> 00:24:38,320 Speaker 1: the age now even even further, but initially it was 421 00:24:38,359 --> 00:24:41,679 Speaker 1: two third graders and a left wing activists and the 422 00:24:41,760 --> 00:24:45,520 Speaker 1: act is very powerful. Activists of the lgbtq I A 423 00:24:45,720 --> 00:24:50,560 Speaker 1: plus community were outraged about this. And there's some uh, 424 00:24:51,280 --> 00:24:55,720 Speaker 1: what's her name, Charlie's Starren. She's a famous actress. It's 425 00:24:55,720 --> 00:24:57,680 Speaker 1: gonna say for better or for worse, Definitely for worse 426 00:24:58,160 --> 00:25:01,440 Speaker 1: in this situation. She's saying, you know, she's I can't 427 00:25:01,480 --> 00:25:03,000 Speaker 1: repeat what she says, but she's going to go mess 428 00:25:03,040 --> 00:25:07,119 Speaker 1: people up who are opposed to transgender Story Hour for kids. 429 00:25:07,560 --> 00:25:09,760 Speaker 1: Why do they want to do this? They want you 430 00:25:09,800 --> 00:25:15,119 Speaker 1: to think that somehow, having adult men who for the 431 00:25:15,160 --> 00:25:17,760 Speaker 1: last fifty years of psychiatry, it's believe men who dress 432 00:25:17,840 --> 00:25:20,200 Speaker 1: up as women do so because they get sexual gratification 433 00:25:20,280 --> 00:25:22,320 Speaker 1: for it. We're not supposed to believe that anymore, but 434 00:25:22,840 --> 00:25:26,520 Speaker 1: it's true. They want to go dress up as women 435 00:25:26,920 --> 00:25:30,400 Speaker 1: and be in front of not just children, for storybook hour, 436 00:25:30,440 --> 00:25:33,080 Speaker 1: but for dancing and you know, gyrating their pelvis is 437 00:25:33,119 --> 00:25:36,000 Speaker 1: and all this stuff. Why is it so important to left? 438 00:25:37,359 --> 00:25:40,040 Speaker 1: You would think that, given this isn't a really nationally 439 00:25:40,119 --> 00:25:42,840 Speaker 1: popular position, why do they want to do it so badly? Well, 440 00:25:43,119 --> 00:25:45,280 Speaker 1: you see this all ties together because now we have 441 00:25:45,400 --> 00:25:47,920 Speaker 1: idiot actresses who are saying that, you know, I have 442 00:25:48,480 --> 00:25:53,000 Speaker 1: three children and all of them are you know, gender fluid, 443 00:25:53,440 --> 00:25:58,320 Speaker 1: nonsensegender pan sexual. These kids probably can't even spell these words, 444 00:25:58,960 --> 00:26:02,400 Speaker 1: They certainly can't to find them. But the parents are 445 00:26:02,400 --> 00:26:06,119 Speaker 1: out there like they're showing off a fashionable handbag, talking 446 00:26:06,160 --> 00:26:10,679 Speaker 1: about how their child is this new gender identity that 447 00:26:11,240 --> 00:26:14,840 Speaker 1: who even knew what this was? I mean, I like 448 00:26:14,880 --> 00:26:17,199 Speaker 1: to think I have a decent vocabulary. I speak for 449 00:26:17,280 --> 00:26:19,919 Speaker 1: a living, and I remember when the Disney head of 450 00:26:20,000 --> 00:26:22,800 Speaker 1: content said that she had a pan sexual child. That 451 00:26:22,920 --> 00:26:26,600 Speaker 1: is a quote, by the way, a quote. I was like, 452 00:26:26,600 --> 00:26:29,439 Speaker 1: what does that mean? And every time I bring this up, 453 00:26:29,480 --> 00:26:32,119 Speaker 1: somebody goes, wait, what is that? And even when I 454 00:26:32,200 --> 00:26:34,320 Speaker 1: try to define it, I'm like, I don't even It's 455 00:26:34,359 --> 00:26:38,120 Speaker 1: like everything, what does that mean? Where are the limits? Ah? 456 00:26:38,160 --> 00:26:42,399 Speaker 1: Where are the limits? Maybe that's the essential question in 457 00:26:42,480 --> 00:26:47,400 Speaker 1: all this. What comes next, what's the next phase of this, 458 00:26:47,680 --> 00:26:50,280 Speaker 1: what's the next part of the conversation. Look at how 459 00:26:50,359 --> 00:26:54,720 Speaker 1: doug in they are on trying to get children to 460 00:26:54,840 --> 00:26:59,440 Speaker 1: believe that they are part of this community, even goes 461 00:26:59,440 --> 00:27:02,879 Speaker 1: beyond that. They want pe Oh wait, we have we 462 00:27:03,080 --> 00:27:06,080 Speaker 1: have the Disney executive. This is from some months ago. 463 00:27:06,600 --> 00:27:10,399 Speaker 1: This was early in the fight between Disney and what 464 00:27:10,520 --> 00:27:13,480 Speaker 1: became the fight with Ron DeSantis over this, which he 465 00:27:13,560 --> 00:27:17,520 Speaker 1: is winning. I should note he is winning despite what 466 00:27:17,600 --> 00:27:19,760 Speaker 1: the national media may be telling you. He is setting 467 00:27:19,800 --> 00:27:23,120 Speaker 1: a standard in the state of Florida for other states. 468 00:27:23,320 --> 00:27:26,920 Speaker 1: Kevin Stitt out in Oklahoma doing good stuff on this front. 469 00:27:26,920 --> 00:27:30,280 Speaker 1: Two we have him on this show, governor of Oklahoma, 470 00:27:30,359 --> 00:27:36,040 Speaker 1: getting high fives for getting good sound, same policy done. 471 00:27:36,320 --> 00:27:38,040 Speaker 1: But what kind of stuff I'm talking about? 472 00:27:38,080 --> 00:27:44,760 Speaker 6: Here is the director of creative content for a multi 473 00:27:44,800 --> 00:27:50,880 Speaker 6: billion dollars storied American corporation, Disney, talking about well, let's 474 00:27:50,920 --> 00:27:51,800 Speaker 6: hear her say it. 475 00:27:51,800 --> 00:27:52,800 Speaker 1: It's twenty four. 476 00:27:52,960 --> 00:27:56,360 Speaker 7: I'm here as a mother of two queer children, actually 477 00:27:56,960 --> 00:28:01,120 Speaker 7: one transgender child and one pan sexual child, and also 478 00:28:01,160 --> 00:28:03,720 Speaker 7: as a leader. And that was the thing that really 479 00:28:03,880 --> 00:28:06,840 Speaker 7: got me because I have heard so much from so 480 00:28:07,080 --> 00:28:09,119 Speaker 7: many of my colleagues over the course of the last 481 00:28:09,119 --> 00:28:12,840 Speaker 7: couple of weeks and open forums and through emails and 482 00:28:12,920 --> 00:28:17,800 Speaker 7: phone conversations, and I feel a responsibility to speak not 483 00:28:17,880 --> 00:28:19,360 Speaker 7: just for myself but for them. 484 00:28:19,880 --> 00:28:24,720 Speaker 1: Okay, all of it can We're getting too. A transgender 485 00:28:24,800 --> 00:28:28,760 Speaker 1: child and a pan sexual child. She was Carrie Burke, 486 00:28:28,880 --> 00:28:34,440 Speaker 1: president of Disney General Entertainment Content. I even remembered basically 487 00:28:34,440 --> 00:28:36,640 Speaker 1: what she was doing for Disney. It's a senior job there. 488 00:28:37,800 --> 00:28:40,040 Speaker 1: What are the statistical chances of that? What are the 489 00:28:40,080 --> 00:28:42,120 Speaker 1: chances he has a transgender child, which we all know 490 00:28:42,240 --> 00:28:46,080 Speaker 1: is a certainly less than one percent of the population, 491 00:28:46,160 --> 00:28:48,560 Speaker 1: and then a pan sexual, by the way, a child. 492 00:28:48,840 --> 00:28:52,160 Speaker 1: She's not saying these are you're sitting You're saying, hold 493 00:28:52,160 --> 00:28:55,440 Speaker 1: on a second, Well, how old are these individuals? That's 494 00:28:55,440 --> 00:28:57,040 Speaker 1: one part of this. I don't know, by the way, 495 00:28:57,120 --> 00:28:59,960 Speaker 1: but I assume she means her kids. Maybe they're adults. 496 00:29:00,080 --> 00:29:03,960 Speaker 1: It's fine, What are the numbers? What are the numbers here? 497 00:29:04,560 --> 00:29:09,400 Speaker 1: And you're looking at It's basically impossible unless you're a 498 00:29:09,400 --> 00:29:12,440 Speaker 1: mom who's conditioning your kids and then other things insider 499 00:29:12,480 --> 00:29:15,200 Speaker 1: conditioning kids to believe this or young people to believe this. 500 00:29:15,240 --> 00:29:19,320 Speaker 1: About themselves and why is that? Well, why do they 501 00:29:19,320 --> 00:29:22,600 Speaker 1: want to tell doctors that they get the gender of 502 00:29:22,640 --> 00:29:25,040 Speaker 1: the baby wrong, which is a thing that the left, 503 00:29:25,600 --> 00:29:28,400 Speaker 1: the activists of the trans community will say now they 504 00:29:28,400 --> 00:29:32,640 Speaker 1: get the gender of the baby wrong. It really boils 505 00:29:32,640 --> 00:29:34,720 Speaker 1: down to this. If they can get you to say 506 00:29:34,720 --> 00:29:39,160 Speaker 1: something that is so provably false and makes you feel 507 00:29:39,200 --> 00:29:42,920 Speaker 1: so stupid, it debases your ability to think about anything 508 00:29:42,920 --> 00:29:46,360 Speaker 1: else with confidence. If they can get you And I'm 509 00:29:46,360 --> 00:29:48,960 Speaker 1: gonna say there are some big conservative sites out there 510 00:29:49,000 --> 00:29:52,760 Speaker 1: that call transgender, you know, male to female. She No, 511 00:29:53,320 --> 00:29:57,080 Speaker 1: that is wrong. They should not do that because by 512 00:29:57,200 --> 00:30:00,200 Speaker 1: going along with the lie, you are a part of 513 00:30:00,280 --> 00:30:03,680 Speaker 1: the lie. All right, Look, with Mother's Day this weekend, 514 00:30:03,720 --> 00:30:06,160 Speaker 1: let me take a moment to recognize an organization that's 515 00:30:06,200 --> 00:30:09,720 Speaker 1: helped tens of thousands of women bring unborn children into 516 00:30:09,720 --> 00:30:12,760 Speaker 1: this world. The organization is Preborn, and they operate a 517 00:30:12,800 --> 00:30:16,560 Speaker 1: network of clinics under that name nationwide. Preborn provides the 518 00:30:16,600 --> 00:30:19,440 Speaker 1: resources for pregnant mothers making a decision on the future 519 00:30:19,480 --> 00:30:23,280 Speaker 1: of their unborn child. Most often they're contemplating an abortion, 520 00:30:23,560 --> 00:30:27,560 Speaker 1: but Preborn gives them an alternative. They offer support, love 521 00:30:27,680 --> 00:30:31,800 Speaker 1: and understanding. They also provide an ultrasound or multiple ultrasounds 522 00:30:31,800 --> 00:30:34,719 Speaker 1: to meet their unborn child. That experience of hearing their 523 00:30:34,760 --> 00:30:38,440 Speaker 1: child's heartbeat and seeing their babies movements via ultrasound often 524 00:30:38,560 --> 00:30:40,800 Speaker 1: leads that mother to make a decision to give that 525 00:30:40,960 --> 00:30:44,120 Speaker 1: baby life. They go on to welcome their child into 526 00:30:44,120 --> 00:30:47,479 Speaker 1: this world, and this weekend they will be celebrating Mother's 527 00:30:47,520 --> 00:30:52,160 Speaker 1: Day alongside so many other proud mothers. So really, let's 528 00:30:52,240 --> 00:30:56,000 Speaker 1: make more mothers this Mother's Day. You could help bring 529 00:30:56,080 --> 00:30:58,560 Speaker 1: life to both a mother in need and an at 530 00:30:58,640 --> 00:31:03,280 Speaker 1: risk baby, which ultrasound costs only twenty eight dollars. Every 531 00:31:03,360 --> 00:31:07,000 Speaker 1: penny you donate goes toward loving mothers and babies. To 532 00:31:07,040 --> 00:31:10,360 Speaker 1: get involved, simply dial pound two fifty and say the 533 00:31:10,480 --> 00:31:15,160 Speaker 1: keyword baby. That's pound two five zero say baby. Or 534 00:31:15,280 --> 00:31:19,440 Speaker 1: visit preborn dot com slash buck that's preborn dot com 535 00:31:19,440 --> 00:31:24,200 Speaker 1: slash b U c K sponsored by Preborn Clay and 536 00:31:24,360 --> 00:31:27,680 Speaker 1: Buck twenty four to seven and subscribe today. I think 537 00:31:27,720 --> 00:31:30,520 Speaker 1: Tears for Fears Rule the World maybe my favorite song 538 00:31:30,600 --> 00:31:32,880 Speaker 1: from the eighties. If I had to pick one, I 539 00:31:32,920 --> 00:31:36,040 Speaker 1: think it would probably be my number one of the 540 00:31:36,120 --> 00:31:39,840 Speaker 1: nineteen eighties. So take that for what it's worth. Eighties 541 00:31:39,840 --> 00:31:42,680 Speaker 1: a great a great decade for music, no question about it. Also, 542 00:31:42,760 --> 00:31:46,360 Speaker 1: I had mentioned a moment ago that Kevin said, the 543 00:31:46,400 --> 00:31:49,920 Speaker 1: governor of Oklahoma is doing some very good stuff out 544 00:31:49,960 --> 00:31:53,120 Speaker 1: there in his state. And here he is saying, you know, 545 00:31:53,240 --> 00:31:55,760 Speaker 1: we're they're not going to allow black rocks some of 546 00:31:55,760 --> 00:31:58,320 Speaker 1: these massive we're just talking about Disney and Florida, some 547 00:31:58,360 --> 00:32:03,440 Speaker 1: of these massive financial institutions are using your pension money, 548 00:32:03,480 --> 00:32:07,360 Speaker 1: your four to oh one k money, etc. To push 549 00:32:07,520 --> 00:32:10,680 Speaker 1: far left ideological agendas. And you're like, wait a second. 550 00:32:10,680 --> 00:32:13,000 Speaker 1: I'm just they're supposed to be custodians of the money, 551 00:32:13,120 --> 00:32:15,280 Speaker 1: you know, invested in the stock market for me, and 552 00:32:15,320 --> 00:32:17,560 Speaker 1: over time it's supposed to grow. We'll see how that's 553 00:32:17,560 --> 00:32:20,680 Speaker 1: going these days. But you get the idea, right, Well, 554 00:32:21,440 --> 00:32:28,120 Speaker 1: they're also pushing DEI. They're also pushing these new equity 555 00:32:28,200 --> 00:32:33,520 Speaker 1: programs where they're even pushing EESG Right, what is that 556 00:32:34,480 --> 00:32:38,640 Speaker 1: environmental social governance? And Kevin Stitt, governor out there, is like, now, 557 00:32:38,720 --> 00:32:40,800 Speaker 1: we're just not doing that with the state of Oklahoma anymore. 558 00:32:40,880 --> 00:32:42,680 Speaker 1: So here's what he says. Play it, Paul. 559 00:32:42,680 --> 00:32:47,080 Speaker 8: We're saying is you can't use our pension funds and 560 00:32:47,200 --> 00:32:51,280 Speaker 8: our assets to push some political agenda. That's all we're saying. 561 00:32:51,440 --> 00:32:54,440 Speaker 8: Blackrock doesn't want to turn into the next button light. 562 00:32:54,560 --> 00:32:56,960 Speaker 8: That's for sure. As soon as you stop attacking the 563 00:32:56,960 --> 00:32:59,520 Speaker 8: oil and gas industry, as soon as you start stop 564 00:33:00,400 --> 00:33:04,640 Speaker 8: pushing a political agenda with our pension funds, we're happy 565 00:33:04,640 --> 00:33:05,400 Speaker 8: to do business with you. 566 00:33:07,200 --> 00:33:12,040 Speaker 1: There you go, stop using the money that has given 567 00:33:12,080 --> 00:33:15,880 Speaker 1: you for one thing to push for another, right to 568 00:33:15,960 --> 00:33:19,760 Speaker 1: push for politics that the people who are in trusting 569 00:33:19,760 --> 00:33:25,280 Speaker 1: these institutions do not want. So I think I think 570 00:33:25,280 --> 00:33:28,600 Speaker 1: it's interesting. David in Louisville, Kentucky, This is interesting. A 571 00:33:28,760 --> 00:33:33,880 Speaker 1: licensed clinical social worker. Talk to me, David, what's going 572 00:33:33,920 --> 00:33:39,120 Speaker 1: on with the transgender agenda? Okay, well, this is. 573 00:33:39,040 --> 00:33:43,640 Speaker 9: My observation being in this field for nearly thirty years. 574 00:33:43,880 --> 00:33:50,120 Speaker 9: About twenty years ago, the transgender people, the transgender activists 575 00:33:50,320 --> 00:33:55,400 Speaker 9: wanted to get gender identity disorder removed from the DSM. 576 00:33:57,200 --> 00:34:00,000 Speaker 9: I think because of the stigma and when it's been 577 00:34:00,120 --> 00:34:02,960 Speaker 9: interesting to me observing it is how they've came back 578 00:34:03,080 --> 00:34:09,040 Speaker 9: full circle again using the mental health concerns as a 579 00:34:09,080 --> 00:34:11,920 Speaker 9: reason why they should, you know, kids should be getting 580 00:34:11,960 --> 00:34:15,640 Speaker 9: gender affirming care. So basically the arguments came back full 581 00:34:15,719 --> 00:34:19,360 Speaker 9: circle to me. In my observation over the past twenty years, 582 00:34:19,719 --> 00:34:22,160 Speaker 9: I find that just speak ironic. 583 00:34:22,800 --> 00:34:24,360 Speaker 1: Well, you know that they've been doing that. Thank you 584 00:34:24,400 --> 00:34:26,920 Speaker 1: for calling in, and you're correct. Others have noted this. 585 00:34:27,360 --> 00:34:29,520 Speaker 1: He mentioned the DSM just for all of you listening. 586 00:34:29,520 --> 00:34:34,960 Speaker 1: That's the Diagnostic and Statistical Manual of Mental Disorders, shorthanded 587 00:34:34,960 --> 00:34:40,080 Speaker 1: as the DSM, and it's the guidebook, if you will, 588 00:34:40,120 --> 00:34:44,200 Speaker 1: to mental health disorders, and they have this has become 589 00:34:44,320 --> 00:34:48,920 Speaker 1: very political. One of the challenges here is that psychiatrists 590 00:34:49,040 --> 00:34:54,400 Speaker 1: are about as left wing by the numbers as gender 591 00:34:54,440 --> 00:34:59,280 Speaker 1: studies professors at Wesleyan University. I mean, psychiatrists are overwhelmingly 592 00:35:00,200 --> 00:35:03,960 Speaker 1: very left wing, which not all, not all, but a 593 00:35:04,000 --> 00:35:08,719 Speaker 1: lot of them, and psychologists too. So what's happened is 594 00:35:08,719 --> 00:35:11,440 Speaker 1: there's been all of this political pressure as well as 595 00:35:11,480 --> 00:35:16,480 Speaker 1: ideological reasons to change what had been the accepted scientific 596 00:35:16,640 --> 00:35:20,800 Speaker 1: understanding of things in the realm of psychiatry to suit 597 00:35:20,920 --> 00:35:25,879 Speaker 1: the needs of the left wing agenda and particularly the transagenda. 598 00:35:26,600 --> 00:35:31,440 Speaker 1: So things that I've been bringing this up. Body identity 599 00:35:31,440 --> 00:35:38,600 Speaker 1: integrity disorder is considered a still thankfully a mental health 600 00:35:38,960 --> 00:35:41,799 Speaker 1: a serious mental health issue. It's re'poth the right arm. 601 00:35:41,840 --> 00:35:44,480 Speaker 1: We can all agree and the people believe it or not. 602 00:35:44,560 --> 00:35:47,600 Speaker 1: People who have this very very sad, very serious mental 603 00:35:47,640 --> 00:35:50,920 Speaker 1: illness think their arm should be or their legs should 604 00:35:50,960 --> 00:35:54,719 Speaker 1: be removed. Why is that clearly still okay? We need 605 00:35:54,760 --> 00:35:56,960 Speaker 1: to help this person. The person does need help. This 606 00:35:57,120 --> 00:36:00,160 Speaker 1: is about compassion. This is about compassion for people to 607 00:36:00,160 --> 00:36:03,799 Speaker 1: help them have the best healthiest outcome and live the 608 00:36:03,840 --> 00:36:07,560 Speaker 1: best possible life. But why is it that removing a 609 00:36:07,560 --> 00:36:12,560 Speaker 1: healthy right arm is obviously mental illness, but removing genitalia 610 00:36:13,160 --> 00:36:18,640 Speaker 1: because of identity is to be celebrated and pushed and 611 00:36:18,719 --> 00:36:22,000 Speaker 1: pushed on children. These are the questions we all have 612 00:36:22,120 --> 00:36:26,440 Speaker 1: to ask. The border's an absolute mess. It is chaos. 613 00:36:26,600 --> 00:36:28,280 Speaker 1: I'm gonna bring you up to speed with the latest 614 00:36:28,280 --> 00:36:30,359 Speaker 1: what we're seeing down there and also where I think 615 00:36:30,800 --> 00:36:35,080 Speaker 1: all of this is going. What is the Biden administration 616 00:36:35,400 --> 00:36:37,840 Speaker 1: plan for this? What are they going to do with 617 00:36:37,880 --> 00:36:40,680 Speaker 1: the millions of illegals we're pouring into the country. We'll 618 00:36:40,680 --> 00:36:41,839 Speaker 1: talk about it coming up.