1 00:00:00,080 --> 00:00:03,280 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:07,520 Speaker 1: Sexton Show podcast. Welcome in Thursday edition in Clay Travis 3 00:00:07,560 --> 00:00:10,040 Speaker 1: buck Sexton Show. We appreciate all of you hanging out 4 00:00:10,080 --> 00:00:12,360 Speaker 1: with us as we strive, as we do every single 5 00:00:12,440 --> 00:00:15,680 Speaker 1: day to bring sanity to an insane world. We have 6 00:00:15,760 --> 00:00:19,560 Speaker 1: got a ton to track down for you, but off 7 00:00:19,600 --> 00:00:24,759 Speaker 1: the top interesting numbers coming out of Virginia. Glenn Junkin 8 00:00:24,880 --> 00:00:27,760 Speaker 1: pulled off the upset win in twenty twenty one. I 9 00:00:27,840 --> 00:00:29,320 Speaker 1: want to talk with you about a poll coming out 10 00:00:29,320 --> 00:00:32,760 Speaker 1: at Roanoke that suggests that Republicans may be able to 11 00:00:32,800 --> 00:00:36,720 Speaker 1: make a run in Virginia if Glenn Yunkin were potentially 12 00:00:36,760 --> 00:00:40,000 Speaker 1: on the ballot. Will discuss what that might mean and 13 00:00:40,159 --> 00:00:45,560 Speaker 1: the idea of expanding the sort of scope of potential 14 00:00:45,640 --> 00:00:48,520 Speaker 1: states that could be in play the battlefield as it were, 15 00:00:49,440 --> 00:00:51,720 Speaker 1: outside of the Midwest and a couple of states in 16 00:00:51,760 --> 00:00:54,959 Speaker 1: the southwest, and then maybe New Hampshire in the northeast. 17 00:00:55,000 --> 00:00:58,200 Speaker 1: But we'll discuss all that. I want to begin and 18 00:00:58,360 --> 00:01:01,680 Speaker 1: we should say the Murdoch for all of you out there, 19 00:01:01,720 --> 00:01:03,840 Speaker 1: and every time we talk about it, we get at 20 00:01:03,920 --> 00:01:06,880 Speaker 1: least I noticed deluged with people who were saying, thank 21 00:01:06,920 --> 00:01:09,000 Speaker 1: you for talking about this. I'm obsessed with it, and 22 00:01:09,160 --> 00:01:12,319 Speaker 1: simultaneously I hate this story. Why would you even mention it. 23 00:01:12,360 --> 00:01:14,479 Speaker 1: I don't care about a murder trial in South Carolina. 24 00:01:14,600 --> 00:01:17,039 Speaker 1: So we appreciate both of you. Do you notice that, Buck, 25 00:01:17,040 --> 00:01:19,800 Speaker 1: you're either all in on the Murdock trial or you're like, 26 00:01:19,959 --> 00:01:21,840 Speaker 1: this is the dumbest story ever. I don't even know 27 00:01:21,840 --> 00:01:24,920 Speaker 1: why you'd mentioned it. So I will say that I 28 00:01:25,280 --> 00:01:29,680 Speaker 1: wasn't fully in that category, but kind of initially I'm like, really, like, 29 00:01:29,720 --> 00:01:32,679 Speaker 1: what is this? And so I read, I'd read the headlines, 30 00:01:32,720 --> 00:01:34,760 Speaker 1: and I'd read a couple of news stories, you know, 31 00:01:34,800 --> 00:01:37,240 Speaker 1: the day that the trial broke, and then I got 32 00:01:37,280 --> 00:01:41,039 Speaker 1: deeper into it, and now I'm somewhat fascinated by this thing. 33 00:01:41,080 --> 00:01:43,160 Speaker 1: You know, now because you get to that second order 34 00:01:43,280 --> 00:01:45,760 Speaker 1: of knowledge where all of a sudden you're like, wait 35 00:01:45,800 --> 00:01:48,520 Speaker 1: a second, but what about when the Department of Public 36 00:01:48,560 --> 00:01:51,480 Speaker 1: Safety decided to slow roll the search for the You know, 37 00:01:51,800 --> 00:01:53,880 Speaker 1: there's all this stuff that you can start to sink, 38 00:01:54,560 --> 00:01:57,680 Speaker 1: sink your teeth into, all these these controversies that come up. 39 00:01:57,720 --> 00:02:01,000 Speaker 1: So that's where it is, you know, because it's five people, 40 00:02:01,080 --> 00:02:05,720 Speaker 1: five dead individuals all attached to this family, which is insane. 41 00:02:06,240 --> 00:02:09,919 Speaker 1: Closing arguments as we speak. They had drama earlier this 42 00:02:10,000 --> 00:02:13,680 Speaker 1: morning because they had to remove a juror and seat 43 00:02:13,760 --> 00:02:16,800 Speaker 1: an alternate juror, which I believe means they're down to 44 00:02:16,919 --> 00:02:21,280 Speaker 1: only one alternate juror member. So we'll see how long 45 00:02:21,320 --> 00:02:24,280 Speaker 1: the debate goes, what might happen there. But this case 46 00:02:24,440 --> 00:02:28,720 Speaker 1: could could go to jury by this afternoon potentially from 47 00:02:28,720 --> 00:02:33,200 Speaker 1: what you've seen, high confidencies. I feel like it's almost 48 00:02:33,520 --> 00:02:36,640 Speaker 1: almost impossible for the jury not to find him guilty. 49 00:02:37,120 --> 00:02:41,720 Speaker 1: But it's a jury. I think he is guilty. I'm 50 00:02:41,800 --> 00:02:44,320 Speaker 1: not one hundred percent confident that they're going to get 51 00:02:44,360 --> 00:02:47,160 Speaker 1: all of the jurors to unanimously agree on it. So 52 00:02:47,200 --> 00:02:49,400 Speaker 1: if I were kind of setting the odds, I think 53 00:02:49,480 --> 00:02:54,400 Speaker 1: most likely outcome is guilty. Second most likely outcome is 54 00:02:55,040 --> 00:02:58,240 Speaker 1: they can't persuade all of the jurors to agree, and 55 00:02:58,280 --> 00:03:02,760 Speaker 1: so we get some form of of you know, jury disagreement, 56 00:03:02,800 --> 00:03:05,880 Speaker 1: so we don't have a verdict, mistrial of some sort 57 00:03:05,960 --> 00:03:10,360 Speaker 1: or other. U and I would be stunned if he's acquitted. 58 00:03:10,760 --> 00:03:14,480 Speaker 1: If everybody agrees, oh, beyond a reasonable doubt, he did 59 00:03:14,600 --> 00:03:17,760 Speaker 1: not commit this murder. I would be very surprised by 60 00:03:17,840 --> 00:03:22,040 Speaker 1: That's the only result that would surprise me at this point. Yesterday, 61 00:03:22,480 --> 00:03:25,560 Speaker 1: Merrick Garland testified, and we played some of the cuts 62 00:03:25,639 --> 00:03:30,000 Speaker 1: because he was lambasted pretty significantly by many of the 63 00:03:30,040 --> 00:03:33,240 Speaker 1: Republicans that were asking him questions. We didn't touch on 64 00:03:33,320 --> 00:03:37,360 Speaker 1: this angle, which I did think was significant. In particular, 65 00:03:37,680 --> 00:03:41,680 Speaker 1: he was asked about whether or not we could label 66 00:03:41,760 --> 00:03:45,960 Speaker 1: the Mexican drug cartels which are bringing so much fentnyl. 67 00:03:46,280 --> 00:03:51,920 Speaker 1: Should I say fentnyl or fentnyl. There's is a correct pronunciation, 68 00:03:51,960 --> 00:03:54,880 Speaker 1: but I feel like everybody mispronounces it. So at some level, 69 00:03:54,920 --> 00:03:57,240 Speaker 1: if everybody mispronounces it, do you just roll the way 70 00:03:57,240 --> 00:04:00,440 Speaker 1: everybody else is talking? So I believe believe that if 71 00:04:00,480 --> 00:04:03,200 Speaker 1: you throw the fentanyl at it, it's like kyler all, 72 00:04:03,240 --> 00:04:05,840 Speaker 1: which would be O L and it's why else? So 73 00:04:05,880 --> 00:04:09,040 Speaker 1: I think you gotta go fentanyl. So this is you know, 74 00:04:09,040 --> 00:04:10,760 Speaker 1: I grew up in the South, so there's all sorts 75 00:04:10,760 --> 00:04:13,160 Speaker 1: of towns that are mispronounced based on what they were 76 00:04:13,240 --> 00:04:15,600 Speaker 1: named after, and sooner or later you're just like, hey, 77 00:04:15,600 --> 00:04:18,440 Speaker 1: we're going to pronounce it like everybody else does. But fentanyl. 78 00:04:18,520 --> 00:04:20,039 Speaker 1: I'll try and get it correct, but you know it 79 00:04:20,080 --> 00:04:23,160 Speaker 1: was invented in nineteen fifty nine by doctor Paul Jansen 80 00:04:23,640 --> 00:04:29,440 Speaker 1: and Jansen Pharmaceutical created a whole range of phenomenal, phenomenally 81 00:04:29,520 --> 00:04:33,280 Speaker 1: effective drugs. Yeah, and so what I want to say 82 00:04:33,320 --> 00:04:36,000 Speaker 1: before I play this cut from Merrick Garland and also 83 00:04:36,040 --> 00:04:39,159 Speaker 1: the mom who was dealing with children, her children that 84 00:04:39,240 --> 00:04:43,240 Speaker 1: have died in the unbelievable response callus in Nature from 85 00:04:43,320 --> 00:04:46,599 Speaker 1: Joe Biden. We've said this on the show for some time, 86 00:04:47,279 --> 00:04:51,359 Speaker 1: but I think that many parents are still not aware, 87 00:04:51,480 --> 00:04:53,599 Speaker 1: and I would say, if you're a grandparent, you need 88 00:04:53,640 --> 00:04:58,520 Speaker 1: to be aware. Your kids can die the very first 89 00:04:58,560 --> 00:05:02,000 Speaker 1: time they use this drug. And they may use this 90 00:05:02,120 --> 00:05:05,480 Speaker 1: drug not even knowing that they are using the drug 91 00:05:05,560 --> 00:05:08,200 Speaker 1: because it is being mixed in with all sorts of 92 00:05:08,240 --> 00:05:11,919 Speaker 1: popular party drugs. So it's one thing out there. I 93 00:05:11,960 --> 00:05:14,800 Speaker 1: understand you might tell your kids don't smoke weed, don't 94 00:05:15,279 --> 00:05:18,760 Speaker 1: use cocaine, like you should obviously be saying all of that, 95 00:05:18,800 --> 00:05:21,839 Speaker 1: and I do, I'm a dad, but there is a difference. 96 00:05:21,880 --> 00:05:23,680 Speaker 1: Your kid is not going to die the first time 97 00:05:23,680 --> 00:05:29,279 Speaker 1: that they smoke weed. Okay, your kid might die the 98 00:05:29,440 --> 00:05:33,200 Speaker 1: first time that they use fentyl, and they might use 99 00:05:33,240 --> 00:05:36,360 Speaker 1: fentyl buck And this is what's terrifying to me, having 100 00:05:36,480 --> 00:05:39,800 Speaker 1: no idea that they're actually using fentnyl, because it is 101 00:05:39,880 --> 00:05:42,599 Speaker 1: laced in so many other drugs, like I said, many 102 00:05:42,640 --> 00:05:44,919 Speaker 1: of which might be party drugs. You need to be 103 00:05:45,040 --> 00:05:47,680 Speaker 1: on your kids about how dangerous this is. I remember 104 00:05:47,680 --> 00:05:51,279 Speaker 1: speaking to under the Trump administration, a senior DA official 105 00:05:51,440 --> 00:05:55,839 Speaker 1: about this, and just so everyone fully understands, there's the 106 00:05:56,000 --> 00:06:01,279 Speaker 1: reason for mixing this in is that fentanyl is so 107 00:06:01,480 --> 00:06:05,240 Speaker 1: easy to make. It's a three step chemical process. It's 108 00:06:05,279 --> 00:06:08,680 Speaker 1: so easy to make that it is effectively used as 109 00:06:08,680 --> 00:06:11,320 Speaker 1: a booster, a cheap booster for whatever the drug is, 110 00:06:11,320 --> 00:06:15,200 Speaker 1: you'll get more of a euphoric effect from it. And 111 00:06:15,240 --> 00:06:19,640 Speaker 1: the reason that they started to mix in or create 112 00:06:19,720 --> 00:06:23,240 Speaker 1: they would imprint these drugs, these fentyl pills so they 113 00:06:23,279 --> 00:06:25,080 Speaker 1: would look and car fentyl by the way, so that 114 00:06:25,120 --> 00:06:29,480 Speaker 1: they would look like pharmaceutical grade, is because of the 115 00:06:29,520 --> 00:06:33,920 Speaker 1: belief that that's going to give you a more pure high. 116 00:06:33,960 --> 00:06:38,520 Speaker 1: So the addicts want the pharmaceutical grade stuff, which obviously 117 00:06:38,560 --> 00:06:42,560 Speaker 1: the cartels aren't making. They have very little quality control, 118 00:06:42,680 --> 00:06:45,880 Speaker 1: very little understanding. They don't care obviously, what the all 119 00:06:45,880 --> 00:06:47,919 Speaker 1: they want to do is sell this, this poison to people, 120 00:06:48,360 --> 00:06:51,039 Speaker 1: and so they make it look like it comes from 121 00:06:51,560 --> 00:06:55,680 Speaker 1: a US big pharma company because the addicts think, oh, 122 00:06:55,760 --> 00:07:00,680 Speaker 1: this is better stuff. But a kid gets this and 123 00:07:01,400 --> 00:07:04,440 Speaker 1: has no idea what he or she is, you know, kid, 124 00:07:04,600 --> 00:07:07,200 Speaker 1: a young person gets this and they think, oh, I'm 125 00:07:07,200 --> 00:07:11,440 Speaker 1: taking First of all, maybe they're taking the pharmaceutical opioid, 126 00:07:11,720 --> 00:07:14,480 Speaker 1: but they may even be taking a Zanex. They made 127 00:07:14,520 --> 00:07:17,800 Speaker 1: me taking something that the pharmacys, that the cartels are 128 00:07:17,840 --> 00:07:20,640 Speaker 1: making to look like pharma drugs won because it's easier 129 00:07:20,640 --> 00:07:23,840 Speaker 1: to move and sell to people. Right, you're saying, Oh, 130 00:07:24,000 --> 00:07:26,880 Speaker 1: it's just it's just Zenex, don't worry about it. So 131 00:07:27,160 --> 00:07:30,480 Speaker 1: it's so much more dangerous and such a bigger public 132 00:07:30,520 --> 00:07:33,360 Speaker 1: health issue than anything else we have. Just by the numbers, 133 00:07:33,360 --> 00:07:35,840 Speaker 1: I mean, the numbers speak for themselves. The people who 134 00:07:35,880 --> 00:07:38,000 Speaker 1: are dying are young. We talk about it on this show, 135 00:07:38,040 --> 00:07:40,800 Speaker 1: and I do think it's significant years of life lost. 136 00:07:41,040 --> 00:07:43,200 Speaker 1: It's why if you go to a funeral for a kid, 137 00:07:43,840 --> 00:07:45,920 Speaker 1: it feels so much worse than if you go to 138 00:07:45,960 --> 00:07:48,200 Speaker 1: a funeral for somebody who's in their eighties. All of 139 00:07:48,240 --> 00:07:52,880 Speaker 1: us naturally understand this, and so this is terrifying and 140 00:07:52,960 --> 00:07:56,800 Speaker 1: I'm going to play some cuts here that I think 141 00:07:56,840 --> 00:08:02,040 Speaker 1: again we're drastically under discussing what ravages this is doing 142 00:08:02,080 --> 00:08:06,240 Speaker 1: to our community. Yesterday, Marek Garland was testifying and he 143 00:08:06,280 --> 00:08:12,800 Speaker 1: was asked about designating designating Mexican drug cartels as terrorist organizations. 144 00:08:12,920 --> 00:08:16,120 Speaker 1: Here's what he said, Mexican drug cartels should they be 145 00:08:16,520 --> 00:08:19,880 Speaker 1: designated foreign terrorist organizations under US law? Yeah? I think 146 00:08:19,880 --> 00:08:22,160 Speaker 1: it's the same answer I gave before. They are already 147 00:08:22,560 --> 00:08:26,040 Speaker 1: designated in any number of ways and sanctioned by the Treasure. 148 00:08:26,080 --> 00:08:28,600 Speaker 1: Would you oppose some of us trying to make them 149 00:08:28,600 --> 00:08:31,640 Speaker 1: foreign tourist organizations? I wouldn't oppose it, but again I 150 00:08:31,680 --> 00:08:34,320 Speaker 1: want to point out their diplomatic concerns. We need the 151 00:08:34,360 --> 00:08:38,720 Speaker 1: assistance of Mexico in this, and designating is Mexico helping 152 00:08:38,840 --> 00:08:41,320 Speaker 1: us effectively? With our finnols. They are helping us, but 153 00:08:41,400 --> 00:08:43,520 Speaker 1: they could do much more, There's no question about that. 154 00:08:44,080 --> 00:08:47,040 Speaker 1: So we have a very simple reality that people everyone 155 00:08:47,080 --> 00:08:48,520 Speaker 1: needs to be aware if we talk about this, because 156 00:08:48,559 --> 00:08:51,680 Speaker 1: I understand and Trump has given voice to this as well. 157 00:08:52,080 --> 00:08:55,600 Speaker 1: Let's treat the cartels like al Kada and when you 158 00:08:55,600 --> 00:08:59,559 Speaker 1: look at inaggregate numbers, they're killing more people in the 159 00:08:59,640 --> 00:09:01,719 Speaker 1: part in the United States, and then al Qaeda was 160 00:09:01,760 --> 00:09:04,520 Speaker 1: able to even with mass casualty attacks and nine to eleven. 161 00:09:05,200 --> 00:09:09,319 Speaker 1: But it's a very different problem set when you're talking 162 00:09:09,360 --> 00:09:13,520 Speaker 1: about the Mexican drug cartels and combating them. What Merrick 163 00:09:13,600 --> 00:09:16,880 Speaker 1: Garland says there is largely true. Let's sort of we 164 00:09:16,920 --> 00:09:19,360 Speaker 1: play this out. Okay, we designate them as a as 165 00:09:19,400 --> 00:09:22,960 Speaker 1: a foreign terrorist organization. Are we going to start sending 166 00:09:22,960 --> 00:09:26,360 Speaker 1: Apache gunships in the Mexican airspace? Just say sorry, we're 167 00:09:26,400 --> 00:09:29,480 Speaker 1: going for it. What intelligence networks do we have on 168 00:09:29,520 --> 00:09:32,200 Speaker 1: the ground that we think can actually penetrate the cartels 169 00:09:32,559 --> 00:09:36,840 Speaker 1: as effectively as Mexican counterparts and the federal police. And 170 00:09:36,880 --> 00:09:39,920 Speaker 1: then you have the perhaps even bigger problem of the 171 00:09:39,960 --> 00:09:43,079 Speaker 1: cartels are probably all in more powerful than the Mexican government. 172 00:09:43,679 --> 00:09:46,480 Speaker 1: So the more you push the Mexican government to go 173 00:09:46,600 --> 00:09:49,200 Speaker 1: head to head with the cartels, the more likely the 174 00:09:49,240 --> 00:09:52,640 Speaker 1: situation that you'll have, in all something that will approximate 175 00:09:53,000 --> 00:09:56,880 Speaker 1: a narco civil war going on inside of Mexico that 176 00:09:56,920 --> 00:10:00,960 Speaker 1: will cause tens of thousands of people to lose their lives, 177 00:10:01,080 --> 00:10:05,200 Speaker 1: mostly civilians. So it's a very challenging problem set right. 178 00:10:05,200 --> 00:10:07,920 Speaker 1: So the first step of designating them as a foreign 179 00:10:07,960 --> 00:10:10,680 Speaker 1: terrorist organization, we think, oh, all right, well, now we'll 180 00:10:10,679 --> 00:10:13,280 Speaker 1: have drones and whoever's running the Sinaloa cartel, we'll just 181 00:10:13,280 --> 00:10:16,120 Speaker 1: blow them up with a Predator drone. You're gonna have 182 00:10:16,120 --> 00:10:19,160 Speaker 1: to do that in Mexico. Mexican government's not going to 183 00:10:19,200 --> 00:10:21,960 Speaker 1: be happy about this. So there are challenges that come 184 00:10:22,000 --> 00:10:25,000 Speaker 1: to bear right away with that designation that I'm I 185 00:10:25,080 --> 00:10:27,640 Speaker 1: have to see what they think the advantage would be 186 00:10:28,080 --> 00:10:31,000 Speaker 1: from that designation versus all the Treasury and other designations 187 00:10:31,040 --> 00:10:34,280 Speaker 1: that already exist. The first step would be obviously securing 188 00:10:34,320 --> 00:10:37,120 Speaker 1: the southern border, which is something we could actually control 189 00:10:37,200 --> 00:10:39,280 Speaker 1: and continue not to do. But I want to play 190 00:10:39,800 --> 00:10:42,040 Speaker 1: this and then I want us to react to it 191 00:10:42,160 --> 00:10:46,920 Speaker 1: when we come back. Because this is Joe Biden who 192 00:10:47,160 --> 00:10:52,199 Speaker 1: is discussing Marjorie Taylor Green, who was referencing a mom 193 00:10:52,320 --> 00:10:54,760 Speaker 1: of two. We're gonna get her audio. She was just 194 00:10:54,920 --> 00:10:58,000 Speaker 1: on Harris Faulkner who has lost her kids to Fentyl, 195 00:10:58,400 --> 00:11:01,600 Speaker 1: And here is Joe Biden. I want you to listen carefully, 196 00:11:02,080 --> 00:11:06,760 Speaker 1: he laughs laughs. At the end of this discussion about 197 00:11:06,760 --> 00:11:10,440 Speaker 1: this mother who has lost two kids. Listen a little 198 00:11:10,480 --> 00:11:13,679 Speaker 1: bit of more Marjorie Taylor and Green and a few more. 199 00:11:13,720 --> 00:11:15,920 Speaker 1: You're gonna have a lot of republics running our way, 200 00:11:18,440 --> 00:11:25,400 Speaker 1: isn't she a Mazie? He was very specific. I shouldn't 201 00:11:25,400 --> 00:11:30,480 Speaker 1: aggress prom I've read she's very specific recently saying that 202 00:11:30,800 --> 00:11:33,520 Speaker 1: a mom a promoter who lost two kids to fentanyl, 203 00:11:33,720 --> 00:11:37,640 Speaker 1: that I killed her sons. Well, the interesting thing is 204 00:11:38,040 --> 00:11:44,040 Speaker 1: that fentanyl they took came during the last administration. Can 205 00:11:44,080 --> 00:11:46,719 Speaker 1: we just cut like that audio one more time? When 206 00:11:46,720 --> 00:11:49,640 Speaker 1: we come back, we'll play it for you again. Joe 207 00:11:49,679 --> 00:11:53,560 Speaker 1: Biden laughing. You heard him there about a mother of 208 00:11:53,600 --> 00:11:56,920 Speaker 1: two losing her children to fentanyl. This is Joe Biden, 209 00:11:57,440 --> 00:12:01,640 Speaker 1: who claims to care so much about all the kids 210 00:12:01,679 --> 00:12:04,800 Speaker 1: out there, who says you never get over the loss 211 00:12:04,840 --> 00:12:09,320 Speaker 1: of a child, laughing at that mother who is trying 212 00:12:09,360 --> 00:12:12,400 Speaker 1: to warn parents all over the country about the dangers 213 00:12:12,440 --> 00:12:15,559 Speaker 1: of finnel and who just lost two of her own 214 00:12:15,760 --> 00:12:21,520 Speaker 1: children to that drug. Joe Biden laughing. I just don't 215 00:12:21,520 --> 00:12:24,920 Speaker 1: think that Joe Biden is the person that the Democrats 216 00:12:24,920 --> 00:12:27,120 Speaker 1: have pretended he is for a very long time, Which 217 00:12:27,160 --> 00:12:31,840 Speaker 1: is this very empathetic, cuddly, grandfatherly figure. I think he's 218 00:12:33,040 --> 00:12:36,040 Speaker 1: got an empty soul. And he's a politician who comes 219 00:12:36,040 --> 00:12:38,000 Speaker 1: from the Democrat machine, who will say whatever he can 220 00:12:38,040 --> 00:12:40,319 Speaker 1: say at any moment in time, and his whole I'm 221 00:12:40,320 --> 00:12:42,640 Speaker 1: one of the folks act is just that it's an act. 222 00:12:42,840 --> 00:12:45,000 Speaker 1: I don't think I don't think he really cares. I 223 00:12:45,000 --> 00:12:48,480 Speaker 1: think he's got more important people always in his mind 224 00:12:48,559 --> 00:12:51,240 Speaker 1: than the working folks that he talks about. But we'll 225 00:12:51,240 --> 00:12:53,080 Speaker 1: come back into this clad I know we'll have the audio. Well, 226 00:12:53,160 --> 00:12:55,600 Speaker 1: let the mother speak for herself and tell us what 227 00:12:55,679 --> 00:12:59,600 Speaker 1: she thinks about the president's comments. You all know about 228 00:12:59,640 --> 00:13:02,920 Speaker 1: how we'll. Activists have seized control of America's schools. Now, 229 00:13:02,960 --> 00:13:05,120 Speaker 1: a group of investment firms that Americans and trust with 230 00:13:05,160 --> 00:13:08,360 Speaker 1: our pensions and retirements are playing woke politics with your 231 00:13:08,400 --> 00:13:11,880 Speaker 1: money without our knowledge or consent. A few large investment 232 00:13:11,920 --> 00:13:14,960 Speaker 1: firms names you know that control trillions of dollars of 233 00:13:14,960 --> 00:13:17,800 Speaker 1: your money are using those dollars to advance their woke 234 00:13:17,880 --> 00:13:22,559 Speaker 1: ideology through a progressive social scoring program called ESG. They 235 00:13:22,600 --> 00:13:25,800 Speaker 1: claim it promotes corporate responsibility. What they're really doing is 236 00:13:25,880 --> 00:13:29,000 Speaker 1: using americans hard earned money to finance their political agenda, 237 00:13:29,240 --> 00:13:32,839 Speaker 1: forcing businesses to comply or else. Some state leaders are 238 00:13:32,840 --> 00:13:35,840 Speaker 1: fighting back and more are joining, letting those investment firms 239 00:13:35,840 --> 00:13:38,400 Speaker 1: know that can't play politics with our pensions. They can 240 00:13:38,400 --> 00:13:42,240 Speaker 1: either do their jobs, maximize returns for shareholders, or get lost. 241 00:13:42,559 --> 00:13:45,960 Speaker 1: To learn more, Good to Consumers Research dot org. They've 242 00:13:46,000 --> 00:13:48,760 Speaker 1: been defending consumers against fraud and abuse for decades and 243 00:13:49,000 --> 00:13:52,360 Speaker 1: still are Good to Consumers research dot org to learn 244 00:13:52,400 --> 00:13:56,080 Speaker 1: more about their mission to protect consumers from woke investment firms. 245 00:13:56,120 --> 00:14:04,280 Speaker 1: That's Consumers Research dot org. He's Buck Sexton, he's Clay Travels. Together, 246 00:14:04,520 --> 00:14:08,760 Speaker 1: they're breathing sanity into an insane world. A little bit 247 00:14:08,760 --> 00:14:12,280 Speaker 1: of more, Marjorie, and a few more, you're gonna have 248 00:14:12,320 --> 00:14:20,880 Speaker 1: a lottery. Public's run our work. So Biden laughing there. 249 00:14:21,600 --> 00:14:26,200 Speaker 1: And this was when it was brought up that a 250 00:14:27,080 --> 00:14:29,840 Speaker 1: Marjorie Taylor Green, a member of Congress, had said that 251 00:14:30,640 --> 00:14:34,040 Speaker 1: Joe Biden is responsible or his policies are responsible for 252 00:14:35,400 --> 00:14:39,080 Speaker 1: the deaths of two young men. And here is the 253 00:14:39,360 --> 00:14:44,960 Speaker 1: mother responding to the Biden response. Play it just what 254 00:14:45,120 --> 00:14:48,560 Speaker 1: a horrible human being. How can he sit there and 255 00:14:48,800 --> 00:14:51,200 Speaker 1: joke about it? You know what he thought? He was 256 00:14:51,520 --> 00:14:54,680 Speaker 1: with a room full of Democrats and you know he's 257 00:14:54,680 --> 00:14:58,880 Speaker 1: amongst friends and they could all yuck it up. Look 258 00:14:58,960 --> 00:15:02,640 Speaker 1: kind of a person, does I mean? Somebody asked me, oh, 259 00:15:02,960 --> 00:15:06,120 Speaker 1: you know, did he just like misspeaking like this shows 260 00:15:06,200 --> 00:15:08,240 Speaker 1: his heart? You don't have to think about what you 261 00:15:08,400 --> 00:15:11,360 Speaker 1: say in a moment like this. And to me, it's 262 00:15:11,400 --> 00:15:14,600 Speaker 1: like it shows this is why he just opened the border. 263 00:15:14,680 --> 00:15:19,080 Speaker 1: So why he just doesn't care? He just doesn't care. 264 00:15:19,640 --> 00:15:24,040 Speaker 1: He's completely heartless. I think she's right, he doesn't care 265 00:15:24,040 --> 00:15:25,960 Speaker 1: about this issue at all. And I think that that 266 00:15:26,120 --> 00:15:30,280 Speaker 1: showed the tone deafness that people who are approaching this 267 00:15:30,360 --> 00:15:32,480 Speaker 1: with open eyes and who are paying attention to being honest. 268 00:15:33,280 --> 00:15:35,760 Speaker 1: Joe Biden's been a phony his entire adult life. Clay, 269 00:15:35,880 --> 00:15:38,520 Speaker 1: He manipulates emotions and says whatever he has to say. 270 00:15:38,960 --> 00:15:41,760 Speaker 1: He doesn't really care about people. He only really cares 271 00:15:41,800 --> 00:15:45,760 Speaker 1: about Biden. So here is in particular why I think 272 00:15:45,800 --> 00:15:48,560 Speaker 1: this is an awful look for Biden. One, you're mocking 273 00:15:49,360 --> 00:15:53,920 Speaker 1: a mother who has lost two kids to fintol, which 274 00:15:53,960 --> 00:15:57,640 Speaker 1: came across the border, and she is speaking out. I 275 00:15:57,760 --> 00:16:02,440 Speaker 1: have watched her speak to try to warn other parents 276 00:16:02,600 --> 00:16:06,760 Speaker 1: about the danger that their kids and their grandkids are 277 00:16:06,960 --> 00:16:11,400 Speaker 1: under one hundred thousand people are dying a year of 278 00:16:11,800 --> 00:16:16,720 Speaker 1: basically finnel, and most people are just totally not paying 279 00:16:16,720 --> 00:16:18,880 Speaker 1: attention to it. So she is doing her best to 280 00:16:19,040 --> 00:16:22,880 Speaker 1: draw attention to the danger. If Joe Biden we're going 281 00:16:22,960 --> 00:16:26,160 Speaker 1: to joke about anything, you would think he would be 282 00:16:26,280 --> 00:16:29,120 Speaker 1: particularly sensitive, given how much he talks about his son 283 00:16:29,280 --> 00:16:33,440 Speaker 1: Bow's death and how that impacts him, and also the 284 00:16:33,600 --> 00:16:37,000 Speaker 1: fact that his other son is a drug addict in 285 00:16:37,120 --> 00:16:39,400 Speaker 1: a Hunter, you would think if he were going to 286 00:16:39,520 --> 00:16:42,680 Speaker 1: be sympathetic to anyone at all in this country, Buck, 287 00:16:43,160 --> 00:16:46,320 Speaker 1: it would be to a parent who lost two kids 288 00:16:46,360 --> 00:16:49,120 Speaker 1: to a drug overdose, given that he recently lost a 289 00:16:49,240 --> 00:16:52,840 Speaker 1: kid and his other son is a drug addict. Yet 290 00:16:53,120 --> 00:16:56,280 Speaker 1: in front of the Democrat audience, his natural reaction to 291 00:16:56,440 --> 00:17:01,479 Speaker 1: that is just to laugh off her criticisms the policies 292 00:17:01,560 --> 00:17:05,199 Speaker 1: of the Democrats at the border. Now, Look, you can 293 00:17:05,280 --> 00:17:08,680 Speaker 1: argue that people when they talk about politicians, they say 294 00:17:08,680 --> 00:17:11,359 Speaker 1: anyone's response as a politician responsible for the deaths that 295 00:17:11,480 --> 00:17:14,080 Speaker 1: happen in a war zone. Depending on your view of 296 00:17:14,160 --> 00:17:16,159 Speaker 1: that politician, you may or may not say, I know 297 00:17:16,520 --> 00:17:18,320 Speaker 1: the blood is on the hands of you put on 298 00:17:18,400 --> 00:17:22,040 Speaker 1: the following politician right now, there is obviously a separation 299 00:17:22,119 --> 00:17:25,200 Speaker 1: of individual agency from that act. No one's saying that 300 00:17:25,359 --> 00:17:29,719 Speaker 1: politician actually killed anybody in a war zone. But if 301 00:17:29,760 --> 00:17:32,359 Speaker 1: you apply that same logic to what's going on at 302 00:17:32,359 --> 00:17:35,600 Speaker 1: our southern border, the Democrats are lying to the American 303 00:17:35,680 --> 00:17:39,760 Speaker 1: people about what is happening. They are actively colluding with 304 00:17:40,080 --> 00:17:43,400 Speaker 1: the human trafficking organizations, the cartels that are moving people 305 00:17:43,400 --> 00:17:46,160 Speaker 1: across the border because they're lying to the American people 306 00:17:46,160 --> 00:17:48,520 Speaker 1: about what's really happening here. And there are a lot 307 00:17:48,560 --> 00:17:50,879 Speaker 1: of people that are dying as a result. And Democrats 308 00:17:51,000 --> 00:17:54,480 Speaker 1: view this as a price that we are we should 309 00:17:54,520 --> 00:17:58,719 Speaker 1: be paying as a society, and that's just an honest 310 00:17:58,760 --> 00:18:01,160 Speaker 1: view of what is happening. And people are being hurt 311 00:18:01,240 --> 00:18:04,840 Speaker 1: by this, including this woman who lost two sons. The 312 00:18:04,960 --> 00:18:07,800 Speaker 1: My Pillow two point zero has the same patented adjustable 313 00:18:07,840 --> 00:18:11,440 Speaker 1: fill of the original My Pillow now includes exclusive fabric 314 00:18:11,520 --> 00:18:15,160 Speaker 1: made with temperature regulating threads. Right now, there's a buy one, 315 00:18:15,280 --> 00:18:18,400 Speaker 1: get one free offer with the promo code Clay and Buck. 316 00:18:18,800 --> 00:18:20,800 Speaker 1: My Pillow two point zero, one hundred percent made in 317 00:18:20,840 --> 00:18:24,280 Speaker 1: the USA comes with a ten year warranty sixty day 318 00:18:24,400 --> 00:18:27,080 Speaker 1: money back guarantee. You can go to my Pillow dot 319 00:18:27,160 --> 00:18:30,560 Speaker 1: com click on the radio listener special Square to get 320 00:18:30,720 --> 00:18:33,320 Speaker 1: this buy one get one free offer on the My 321 00:18:33,520 --> 00:18:36,560 Speaker 1: Pillow two point zero enter promo code Clay and Buck. 322 00:18:36,640 --> 00:18:40,480 Speaker 1: You can also call eight hundred seven nine two thirty 323 00:18:40,560 --> 00:18:43,040 Speaker 1: two sixty nine to get your My Pillow two point 324 00:18:43,119 --> 00:18:47,160 Speaker 1: zero today again. That is, go to my pillow dot 325 00:18:47,240 --> 00:18:49,959 Speaker 1: com use the promo code Clay and Buck. You can 326 00:18:50,040 --> 00:18:52,920 Speaker 1: get hooked up today with your brand new, all new 327 00:18:53,400 --> 00:18:55,600 Speaker 1: My Pillow two point Oh. You're gonna love it. We 328 00:18:55,720 --> 00:18:58,960 Speaker 1: love it. Here in the Travis household Sleeve, Travis and 329 00:18:59,119 --> 00:19:03,880 Speaker 1: Buck Sexton on the front lines. Welcome back at Clay 330 00:19:03,960 --> 00:19:07,760 Speaker 1: Travis buck Sexton Show. You know Bucket out Kick. One 331 00:19:07,800 --> 00:19:11,560 Speaker 1: of our good writers, Joe Kinzie does a Woke Back 332 00:19:11,640 --> 00:19:16,320 Speaker 1: at Bracket Challenge every March. Obviously NCUBA tournament season coming 333 00:19:16,440 --> 00:19:19,000 Speaker 1: up in Earnest, a lot of you out there be 334 00:19:19,160 --> 00:19:22,920 Speaker 1: filling out your own brackets at work, in your families 335 00:19:22,920 --> 00:19:27,040 Speaker 1: and everything else. And last year's winner of the Woke 336 00:19:27,240 --> 00:19:30,119 Speaker 1: Bracket Challenge was Keith Olberman, and a lot of you 337 00:19:30,200 --> 00:19:35,040 Speaker 1: will remember Keith Olberman initially was a SportsCenter anchor and 338 00:19:35,240 --> 00:19:40,800 Speaker 1: then he moved over to MSNBC and he was MSNBC's 339 00:19:40,880 --> 00:19:43,680 Speaker 1: like straw that stirs the drink. He was the primary 340 00:19:43,800 --> 00:19:47,320 Speaker 1: employee at the MSNBC on Countdown for some time. Right 341 00:19:47,680 --> 00:19:50,920 Speaker 1: he was the tent pole. He was the mentor of 342 00:19:52,040 --> 00:19:55,000 Speaker 1: Rachel Nada, which, now that she's making thirty million dollars 343 00:19:55,000 --> 00:19:56,800 Speaker 1: a year to show up twice a month or whatever 344 00:19:57,400 --> 00:20:00,680 Speaker 1: is pretty remarkable when you think about it. Just Clay, 345 00:20:00,720 --> 00:20:03,960 Speaker 1: if I ask you, what is the best thing that 346 00:20:04,240 --> 00:20:07,880 Speaker 1: Ben Affleck has ever done professionally? What comes to mind 347 00:20:07,960 --> 00:20:11,520 Speaker 1: for you? Like right away, what's the best thing? Goodwill Hunting? 348 00:20:11,680 --> 00:20:16,399 Speaker 1: Probably see okay, maybe that's of the movies that's certainly 349 00:20:16,440 --> 00:20:19,879 Speaker 1: on the list. Have you seen his SNL impression of 350 00:20:20,000 --> 00:20:23,399 Speaker 1: Keith Olberman? Is it really kidding me? Okay, we have 351 00:20:23,560 --> 00:20:25,360 Speaker 1: to get some of this audio, those of you who 352 00:20:25,440 --> 00:20:28,800 Speaker 1: know out there, you know he's talking about his cat 353 00:20:28,880 --> 00:20:31,840 Speaker 1: and miss Precious perfect and the condo board not I 354 00:20:31,880 --> 00:20:35,520 Speaker 1: mean is amazing. And it was on SNL and it 355 00:20:35,640 --> 00:20:38,639 Speaker 1: was Ben Affleck pretending to be Keith Olberman throwing a 356 00:20:38,720 --> 00:20:42,840 Speaker 1: hissy fit on TV with his pseudo Shakespearean prose, and 357 00:20:43,000 --> 00:20:48,040 Speaker 1: it is amazing. So out I mean, I used to 358 00:20:48,240 --> 00:20:51,880 Speaker 1: wake up every morning and as I was eating breakfast, 359 00:20:51,960 --> 00:20:54,680 Speaker 1: getting ready to go to school, I would put on 360 00:20:54,880 --> 00:20:59,720 Speaker 1: Sports Center with Keith Olberman and Dan Patrick, and those 361 00:20:59,800 --> 00:21:03,399 Speaker 1: guys war probably the most iconic duo to ever do 362 00:21:03,920 --> 00:21:08,480 Speaker 1: a sports program. And Dan Patrick obviously still does radio. 363 00:21:08,520 --> 00:21:11,840 Speaker 1: He's had a very successful sports career. Totally normal guy. 364 00:21:12,400 --> 00:21:16,480 Speaker 1: Olberman has never gotten married. He is, he lives somewhere 365 00:21:16,520 --> 00:21:20,160 Speaker 1: in New York City. He's obviously very wealthy, but he's isolated, 366 00:21:20,320 --> 00:21:23,080 Speaker 1: and he's on Twitter all the time, and he'll come 367 00:21:23,160 --> 00:21:26,600 Speaker 1: after you or me randomly, right buck, Although it's harder 368 00:21:26,640 --> 00:21:29,560 Speaker 1: to find people coming after you randomly now on Twitter 369 00:21:29,640 --> 00:21:31,480 Speaker 1: and the way it's constructed. I don't know if you've 370 00:21:31,520 --> 00:21:34,840 Speaker 1: noticed that, Like I barely see any like real arguments 371 00:21:34,920 --> 00:21:41,359 Speaker 1: or hate in general. But Keith Olberman tweeted this yesterday, 372 00:21:42,520 --> 00:21:47,600 Speaker 1: This isn't difficult about the Rhonda Santis and Walt Disney 373 00:21:47,680 --> 00:21:53,000 Speaker 1: World battled down in Florida. This isn't difficult. Move all 374 00:21:53,119 --> 00:21:58,400 Speaker 1: the irreplaceable items out of the current Disney World rebuild 375 00:21:58,560 --> 00:22:03,280 Speaker 1: in the Carolinas or Puerto Rico, then invite Ron de 376 00:22:03,440 --> 00:22:08,400 Speaker 1: Santis to Disney's Orlando facility. And burn the place down 377 00:22:08,680 --> 00:22:12,800 Speaker 1: while he watches all Right, have you been to Disney World? Buck? 378 00:22:13,240 --> 00:22:14,920 Speaker 1: I think I went when I was four or five. 379 00:22:15,000 --> 00:22:18,280 Speaker 1: I don't have no me. My family we went to 380 00:22:18,400 --> 00:22:20,600 Speaker 1: Disney all the time. We would camp at the Fort 381 00:22:20,640 --> 00:22:24,200 Speaker 1: Wilderness camp grounds, like in the nineteen eighties. That was 382 00:22:24,240 --> 00:22:26,560 Speaker 1: what my parents did with us on vacation. We would 383 00:22:26,560 --> 00:22:29,439 Speaker 1: go to Disney World. I have been there many times, 384 00:22:30,720 --> 00:22:34,359 Speaker 1: Disney World. This is I'm assuming that Keith Olberman has 385 00:22:34,400 --> 00:22:36,840 Speaker 1: never been there, because if you have ever been to 386 00:22:36,960 --> 00:22:40,040 Speaker 1: Disney World. The idea that you could just pick up 387 00:22:40,200 --> 00:22:44,639 Speaker 1: Disney World and relocate it somewhere is akin to saying, 388 00:22:44,920 --> 00:22:47,880 Speaker 1: why don't we just move New York City to Idaho. 389 00:22:48,560 --> 00:22:53,359 Speaker 1: It's it's like totally inconceivable that such a thing could happen. 390 00:22:54,040 --> 00:22:56,280 Speaker 1: The idea that you would move it to Puerto Rico, 391 00:22:56,800 --> 00:22:59,480 Speaker 1: where no one can get to, or that you would 392 00:22:59,520 --> 00:23:02,399 Speaker 1: go to the Aerolinas where the weather's not good and 393 00:23:02,480 --> 00:23:06,639 Speaker 1: you can't be open year round. This is to me 394 00:23:06,880 --> 00:23:11,640 Speaker 1: emblematic of what happens if you allowed the woke virus 395 00:23:12,240 --> 00:23:15,680 Speaker 1: to so take over your brain that you lose the 396 00:23:15,760 --> 00:23:19,440 Speaker 1: ability to engage in irrational thought. You know, I know 397 00:23:19,560 --> 00:23:22,040 Speaker 1: that you had when I was out, you had Josh 398 00:23:22,119 --> 00:23:25,200 Speaker 1: Holly on Senator Holly to talk about banning social media 399 00:23:25,280 --> 00:23:28,600 Speaker 1: use for kids under sixteen. And I don't know about 400 00:23:28,640 --> 00:23:31,879 Speaker 1: whether the government should necessarily mandate that, but I do 401 00:23:32,040 --> 00:23:34,480 Speaker 1: think increasingly that's a that's a good thing because of 402 00:23:34,640 --> 00:23:38,240 Speaker 1: the mental health challenges that it create, or the mental 403 00:23:38,320 --> 00:23:43,320 Speaker 1: health pathways, the ways that affects the psychological, psychological day 404 00:23:43,320 --> 00:23:47,479 Speaker 1: to day of kids. But also there's been some studies 405 00:23:47,560 --> 00:23:51,040 Speaker 1: out play increasingly the show, and this is by self reporting, 406 00:23:51,080 --> 00:23:53,720 Speaker 1: and it's among adolescents who haven't yet reached the point 407 00:23:53,760 --> 00:23:55,480 Speaker 1: where they wouldn't tell you the truth because they don't 408 00:23:55,480 --> 00:23:57,800 Speaker 1: want it to be associated with their politics. The more 409 00:23:57,920 --> 00:24:00,359 Speaker 1: left wing you are, the more miserable you are. Yeah, 410 00:24:00,440 --> 00:24:04,440 Speaker 1: there's actual data to back this up now. Mattie Iglaciers, 411 00:24:04,480 --> 00:24:06,800 Speaker 1: who's a left wing writer, shared this in his sub 412 00:24:06,880 --> 00:24:10,040 Speaker 1: stack recently that a bunch of left wing academics got 413 00:24:10,119 --> 00:24:12,280 Speaker 1: together and their whole thing was, why is it that 414 00:24:12,359 --> 00:24:19,320 Speaker 1: among adolescents the most miserable cohort when you look at 415 00:24:19,400 --> 00:24:21,639 Speaker 1: and it was all the way from very conservative conservative, 416 00:24:21,720 --> 00:24:24,520 Speaker 1: moderate liberal, very liberal male female. I think the ages 417 00:24:24,560 --> 00:24:28,800 Speaker 1: were sixteen to eighteen something like that, and overwhelmingly, guess what, 418 00:24:29,400 --> 00:24:33,040 Speaker 1: very liberal females are the most miserable people when you 419 00:24:33,119 --> 00:24:39,920 Speaker 1: control for socioeconomic background, race, everything. The more far left 420 00:24:40,040 --> 00:24:43,640 Speaker 1: you are, the more miserable you are. And I think 421 00:24:43,720 --> 00:24:46,040 Speaker 1: that that's something that we all I see it in 422 00:24:46,119 --> 00:24:48,280 Speaker 1: my life. I know that, you know, far left anchor 423 00:24:48,359 --> 00:24:49,919 Speaker 1: is making millions of dollars to try to laugh at 424 00:24:49,960 --> 00:24:52,040 Speaker 1: this idea, but I think if you actually look at them, 425 00:24:52,080 --> 00:24:54,560 Speaker 1: they are leading generally miserable lives. I think there's something 426 00:24:54,640 --> 00:24:57,280 Speaker 1: really to this because of the victimization, the way of 427 00:24:57,359 --> 00:25:00,600 Speaker 1: looking at the world. It's all about a pression and 428 00:25:01,240 --> 00:25:04,719 Speaker 1: power and balance and racism and sexism, and that's got 429 00:25:04,800 --> 00:25:07,520 Speaker 1: to be exhausting after a while. Yeah, and Buck, I 430 00:25:07,840 --> 00:25:09,639 Speaker 1: know we make fun of the fact that you're younger 431 00:25:09,720 --> 00:25:14,040 Speaker 1: than me, but I'm forty three, you're forty one, Is 432 00:25:14,080 --> 00:25:16,440 Speaker 1: that right. I'm about to be forty four next month, 433 00:25:16,560 --> 00:25:19,639 Speaker 1: so we're about three years apart. I do feel like, 434 00:25:20,160 --> 00:25:22,960 Speaker 1: and I understand people of different ages have different ideas 435 00:25:23,000 --> 00:25:26,960 Speaker 1: about what their generation represents. I feel like people around 436 00:25:27,160 --> 00:25:32,720 Speaker 1: your end mind's age have a healthier relationship with social media, 437 00:25:32,880 --> 00:25:36,280 Speaker 1: and I'm curious if you would buy this thesis because 438 00:25:36,520 --> 00:25:42,040 Speaker 1: we mostly grew up without the internet in nineteen eighties 439 00:25:42,200 --> 00:25:46,080 Speaker 1: nineteen nineties kids, and then the internet comes into your life, 440 00:25:46,240 --> 00:25:49,520 Speaker 1: but it comes in when you've already kind of established 441 00:25:49,600 --> 00:25:53,119 Speaker 1: yourself in some way what is normal, and you're not 442 00:25:53,359 --> 00:25:56,720 Speaker 1: so old that you have no idea how the internet works, 443 00:25:57,000 --> 00:25:59,760 Speaker 1: right like that, you're just totally flummuxed and flustered by it, 444 00:26:00,560 --> 00:26:04,320 Speaker 1: but you're old enough that you have a sense of 445 00:26:04,440 --> 00:26:07,240 Speaker 1: what is real and what is not real. And what 446 00:26:07,440 --> 00:26:10,520 Speaker 1: I worry about now for my own kids is they 447 00:26:10,560 --> 00:26:15,960 Speaker 1: are so immersed in the social media universe in sort 448 00:26:16,000 --> 00:26:22,480 Speaker 1: of that AI generated artificiality, that I worry it distorts 449 00:26:22,640 --> 00:26:27,240 Speaker 1: their ability to understand the difference between the physical and 450 00:26:27,440 --> 00:26:31,240 Speaker 1: the you know, sort of ephemeral on the Internet. And 451 00:26:31,480 --> 00:26:35,000 Speaker 1: that is why I think there's so much mental illness, 452 00:26:35,040 --> 00:26:36,800 Speaker 1: which is directly what we talked about. I think one 453 00:26:36,840 --> 00:26:38,760 Speaker 1: day when you were out, I opened up the show 454 00:26:38,920 --> 00:26:41,159 Speaker 1: talking about the fact that I believe the data is 455 00:26:41,240 --> 00:26:44,000 Speaker 1: buck thirty percent of teenage girls had in the last 456 00:26:44,080 --> 00:26:49,480 Speaker 1: year I thought about killing themselves. Thirty percent, well, nearly 457 00:26:49,560 --> 00:26:52,840 Speaker 1: one in every three teenage girls has thought I wish 458 00:26:52,880 --> 00:26:55,320 Speaker 1: I'm interested in killing myself. I mean that is a 459 00:26:55,480 --> 00:27:00,280 Speaker 1: that is a profound societal sickness. Yes, there's something deeply wrong. 460 00:27:00,920 --> 00:27:03,240 Speaker 1: And I mentioned this and I wanted this. This is 461 00:27:03,320 --> 00:27:06,720 Speaker 1: from Science Direct. It is in a peer published on 462 00:27:06,800 --> 00:27:10,760 Speaker 1: a peer reviewed journal, the Politics of Depression. This was 463 00:27:10,800 --> 00:27:13,960 Speaker 1: just published in December of twenty twenty two, so recently. 464 00:27:14,440 --> 00:27:19,879 Speaker 1: The Politics of Depression. Diverging trends in internalizing symptoms among 465 00:27:20,080 --> 00:27:24,080 Speaker 1: US adolescents by political beliefs, written by a bunch of 466 00:27:24,320 --> 00:27:27,520 Speaker 1: presumably left wing academics, and they're what they're saying is, hey, 467 00:27:27,800 --> 00:27:30,200 Speaker 1: I think we need to figure out something here, because 468 00:27:30,840 --> 00:27:33,480 Speaker 1: even if you switch the genders around, by the ways, 469 00:27:34,720 --> 00:27:38,960 Speaker 1: the most unhappy people in the sixteen to eighteen age group, 470 00:27:38,960 --> 00:27:41,280 Speaker 1: of course, and this is a thousand thousands of people 471 00:27:41,320 --> 00:27:43,119 Speaker 1: that this all this self reporting that they in this 472 00:27:43,200 --> 00:27:49,920 Speaker 1: study are very liberal females. Yeah, but conservative females are 473 00:27:50,040 --> 00:27:53,760 Speaker 1: happier than very liberal or liberal males. Right, So even 474 00:27:53,800 --> 00:27:56,639 Speaker 1: when you change it by gender, there is something in 475 00:27:56,720 --> 00:27:59,800 Speaker 1: the political belief system of the left put us, put 476 00:27:59,880 --> 00:28:01,840 Speaker 1: us what we always talk about, which is their ideas 477 00:28:01,920 --> 00:28:04,560 Speaker 1: don't work. It makes everybody less safe, it makes everybody 478 00:28:04,640 --> 00:28:07,879 Speaker 1: more poor, it made all these things. It makes people miserable. 479 00:28:08,080 --> 00:28:10,600 Speaker 1: And I really see this. I see this from I mean, 480 00:28:10,680 --> 00:28:12,160 Speaker 1: you know, you look at you know, I don't want 481 00:28:12,160 --> 00:28:13,439 Speaker 1: to get too crazy here, but you know, you look 482 00:28:13,480 --> 00:28:14,960 Speaker 1: at so many of the people that we work with 483 00:28:15,080 --> 00:28:17,440 Speaker 1: and know on the right who are in this media game, 484 00:28:17,520 --> 00:28:21,480 Speaker 1: and they're really nice people. They really care about their families, 485 00:28:21,560 --> 00:28:23,159 Speaker 1: they really try to hold it all together, you know 486 00:28:23,240 --> 00:28:26,080 Speaker 1: they Now, look, these are huge generalizations. I don't know, 487 00:28:26,119 --> 00:28:28,560 Speaker 1: people can try to pick them apart. The people that 488 00:28:28,640 --> 00:28:30,480 Speaker 1: I see on the left who are on the absolute 489 00:28:30,600 --> 00:28:35,360 Speaker 1: vanguard of their ideological system are generally miserable people. That's 490 00:28:35,359 --> 00:28:37,800 Speaker 1: just what I see. I think, And this is such 491 00:28:37,840 --> 00:28:39,920 Speaker 1: a big discussion. We could probably open up phone lines 492 00:28:40,000 --> 00:28:42,760 Speaker 1: on this, especially in as we're moving to the second hour. 493 00:28:42,840 --> 00:28:45,680 Speaker 1: But to close out this first hour, I think one 494 00:28:45,720 --> 00:28:48,240 Speaker 1: of the biggest challenges that we are dealing with in 495 00:28:48,400 --> 00:28:51,040 Speaker 1: society in general. And I'm saying this is a man 496 00:28:51,240 --> 00:28:53,680 Speaker 1: so I could be completely wrong. In fact, I only 497 00:28:53,800 --> 00:28:57,320 Speaker 1: want female callers to react to this. Eight hundred two 498 00:28:57,400 --> 00:28:59,920 Speaker 1: A two two eight eight two. This could be you mighty, 499 00:29:00,080 --> 00:29:02,880 Speaker 1: I'm crazy on this. I think the reason why liberal 500 00:29:02,960 --> 00:29:06,840 Speaker 1: women are so unhappy is because they are being sold 501 00:29:06,920 --> 00:29:11,440 Speaker 1: on the idea that they can have everything. This girl, boss, 502 00:29:12,200 --> 00:29:14,960 Speaker 1: I'm going to dominate the world. The Beyonce we rule 503 00:29:15,040 --> 00:29:20,480 Speaker 1: the world. And the reality is women who are making 504 00:29:20,560 --> 00:29:22,960 Speaker 1: decisions and saying like, hey, I want to have a 505 00:29:23,080 --> 00:29:24,840 Speaker 1: family and I want to get married, I want to 506 00:29:24,840 --> 00:29:26,120 Speaker 1: go to college, I want to have a career, but 507 00:29:26,200 --> 00:29:28,720 Speaker 1: I also want to have a family. At some point, 508 00:29:28,840 --> 00:29:33,360 Speaker 1: the frustration on the far left becomes I was told 509 00:29:33,440 --> 00:29:36,240 Speaker 1: that I could have everything. That's what they told me. 510 00:29:36,360 --> 00:29:39,120 Speaker 1: I can have everything. And the balancing act to require 511 00:29:39,200 --> 00:29:41,440 Speaker 1: you to be able to accomplish everything as a woman 512 00:29:41,560 --> 00:29:43,760 Speaker 1: is different than you or me. Buck, Like, you just 513 00:29:43,840 --> 00:29:46,160 Speaker 1: got married at forty one. How much time did you 514 00:29:46,240 --> 00:29:48,400 Speaker 1: spend thinking I've got to get married right now if 515 00:29:48,440 --> 00:29:50,920 Speaker 1: I want to have kids. Probably not very much. Nope, 516 00:29:51,440 --> 00:29:53,400 Speaker 1: And I mean I would even say I would add 517 00:29:53,400 --> 00:29:55,440 Speaker 1: to I think what you're saying is absolutely true. I 518 00:29:55,520 --> 00:29:58,560 Speaker 1: think that young women across America need to hear this 519 00:29:58,720 --> 00:30:01,080 Speaker 1: and need to know this. I think the conservative young 520 00:30:01,160 --> 00:30:04,680 Speaker 1: women do know this, which is why they have higher 521 00:30:04,760 --> 00:30:07,320 Speaker 1: levels of happiness. They do understand, but I also think 522 00:30:07,360 --> 00:30:09,040 Speaker 1: that they're being told. I saw this so much in 523 00:30:09,080 --> 00:30:11,320 Speaker 1: New York City. You know, I had a bigger dosage 524 00:30:11,360 --> 00:30:13,240 Speaker 1: of this than I think even Clay you would. I mean, 525 00:30:13,280 --> 00:30:15,040 Speaker 1: I know you went to GW and around a lot 526 00:30:15,080 --> 00:30:17,600 Speaker 1: of lives and all that, But in Tennessee, I think 527 00:30:17,640 --> 00:30:21,120 Speaker 1: you probably have more traditional gender roles culturally, you know, 528 00:30:21,240 --> 00:30:23,240 Speaker 1: than you would in New York City. Certainly in Manhattan, 529 00:30:23,520 --> 00:30:26,200 Speaker 1: women are being told to compete as men in a 530 00:30:26,280 --> 00:30:29,080 Speaker 1: lot of capacities, not just in the workplace now, but 531 00:30:29,160 --> 00:30:32,000 Speaker 1: in general, to live their lives socially as men, to 532 00:30:32,240 --> 00:30:36,320 Speaker 1: date as men, to mirror all the habits and proclivities 533 00:30:36,720 --> 00:30:39,280 Speaker 1: of the other gender. And I think it leads to me, 534 00:30:39,400 --> 00:30:41,040 Speaker 1: I think it leads to a lot of bad outcomes, 535 00:30:41,080 --> 00:30:44,960 Speaker 1: including misery. That's this is you know, we're taking on 536 00:30:45,080 --> 00:30:46,800 Speaker 1: a big one today. But I gotta say, this is 537 00:30:46,840 --> 00:30:48,400 Speaker 1: what I see. And that's why I only want to 538 00:30:48,440 --> 00:30:50,920 Speaker 1: hear from women, because we're two guys describing as we 539 00:30:51,000 --> 00:30:53,440 Speaker 1: see it. The data reflects what you are saying. Why 540 00:30:53,480 --> 00:30:58,680 Speaker 1: are women so much liberal women so unhappy? What do 541 00:30:58,760 --> 00:31:02,200 Speaker 1: you think? What do women think about this and why 542 00:31:02,320 --> 00:31:06,400 Speaker 1: it's occurring? And why are conservative women happier? Like? What 543 00:31:06,640 --> 00:31:09,640 Speaker 1: is going on? This is occurring conservative women and who 544 00:31:09,680 --> 00:31:11,880 Speaker 1: are talking about younger people. Now, let's say eighteen year olds. 545 00:31:11,880 --> 00:31:15,600 Speaker 1: Conservative women are happier than liberal men though, so that's 546 00:31:15,600 --> 00:31:18,680 Speaker 1: where the political ideology. So it's not just a gender 547 00:31:19,000 --> 00:31:22,400 Speaker 1: separation by politics, it's the most miserable people in the 548 00:31:22,480 --> 00:31:25,440 Speaker 1: country tend to be leftists. Just put it out there, 549 00:31:25,640 --> 00:31:27,880 Speaker 1: and I think there are reasons for this. It's good 550 00:31:27,880 --> 00:31:29,800 Speaker 1: to know at least one company out there is helping 551 00:31:29,880 --> 00:31:33,280 Speaker 1: families save money. Right now, Pure Talk is saving the 552 00:31:33,320 --> 00:31:36,080 Speaker 1: average sized family over nine hundred dollars a year when 553 00:31:36,080 --> 00:31:38,800 Speaker 1: they switch from Verizon AT and T or T Mobile. 554 00:31:39,160 --> 00:31:41,520 Speaker 1: That's great savings, right, nine hundred dollars a year. And 555 00:31:41,640 --> 00:31:43,440 Speaker 1: the second best part of all this is that everyone 556 00:31:43,520 --> 00:31:46,840 Speaker 1: switching can still enjoy ultra fast five G service. You 557 00:31:46,880 --> 00:31:49,520 Speaker 1: can get unlimited talk, texts, and plenty of data for 558 00:31:49,680 --> 00:31:51,840 Speaker 1: just thirty bucks a month. And Pure Talk is so 559 00:31:52,040 --> 00:31:54,120 Speaker 1: sure you're gonna love their service they're backing it up 560 00:31:54,160 --> 00:31:57,280 Speaker 1: with a one hundred percent money back guarantee. So instead 561 00:31:57,320 --> 00:31:59,720 Speaker 1: of paying a small fortune to Verizon AT and T 562 00:32:00,040 --> 00:32:02,320 Speaker 1: or Team Mobile every month, cut your bill in half 563 00:32:02,400 --> 00:32:04,840 Speaker 1: with Pure Talk, which is my cell phone company. You 564 00:32:04,960 --> 00:32:07,160 Speaker 1: also get the benefit of relying on a US based 565 00:32:07,200 --> 00:32:10,360 Speaker 1: customer service team, and you're supporting a veteran own company 566 00:32:10,400 --> 00:32:13,240 Speaker 1: that shares your values. Not to mention, you're covered with 567 00:32:13,320 --> 00:32:16,600 Speaker 1: that money back guarantee. So just dial pound two five 568 00:32:16,720 --> 00:32:20,160 Speaker 1: zero say Clay and Buck. You'll say fifty percent off 569 00:32:20,240 --> 00:32:23,560 Speaker 1: your first month. That's pound two five zero say Clay 570 00:32:23,720 --> 00:32:27,440 Speaker 1: and Buck. Pure talk is simply smarter. Wireless restrictions apply. 571 00:32:27,520 --> 00:32:31,360 Speaker 1: Sea site for details. The Clay and Buck podcast deep 572 00:32:31,480 --> 00:32:35,680 Speaker 1: dives with cool content, surprise guests. Get it all on 573 00:32:35,800 --> 00:32:39,360 Speaker 1: the iheartap or wherever you get your podcasts. Stirring the 574 00:32:39,440 --> 00:32:41,560 Speaker 1: pot a little bit here on Clay and Buck today, 575 00:32:41,720 --> 00:32:43,720 Speaker 1: we've put out there, Hey, look I backed it up 576 00:32:43,760 --> 00:32:48,320 Speaker 1: with hashtag science from a science paper with data, and 577 00:32:48,560 --> 00:32:53,000 Speaker 1: Clay is he's leaning into it here. What do we 578 00:32:53,080 --> 00:32:57,719 Speaker 1: think about left wing ideology making Look, it's not obviously 579 00:32:57,880 --> 00:32:59,400 Speaker 1: some of you're gonna say, oh, but I know somebody 580 00:32:59,440 --> 00:33:03,360 Speaker 1: who's she's like a you know, a vegan hippie, Bernie Sanders, 581 00:33:03,440 --> 00:33:06,160 Speaker 1: loving and she's the nicest person ever. We're always talking 582 00:33:06,160 --> 00:33:08,200 Speaker 1: about in the aggregate here and buy the numbers. There's 583 00:33:08,200 --> 00:33:10,240 Speaker 1: obviously going to be exceptions. They're going to be incredibly 584 00:33:10,320 --> 00:33:12,720 Speaker 1: kind people of all kinds of political ideologies, who are 585 00:33:12,760 --> 00:33:16,160 Speaker 1: living fulfilling lives that said liberalism makes you miserable. Let's 586 00:33:16,200 --> 00:33:20,400 Speaker 1: get to Susie, who was an educator in Tennessee's got 587 00:33:20,400 --> 00:33:24,200 Speaker 1: a teenage daughter. Susie, thanks for calling in, Hi, Thanks 588 00:33:24,240 --> 00:33:27,040 Speaker 1: for taking my call. What do you think about this? 589 00:33:27,360 --> 00:33:32,280 Speaker 1: Why is it? Why is it occurring? I agree that 590 00:33:32,880 --> 00:33:36,280 Speaker 1: women are miserable because society has made it so they 591 00:33:36,320 --> 00:33:40,200 Speaker 1: have to have it, have everything, they have everything. I'm sorry, 592 00:33:40,200 --> 00:33:44,120 Speaker 1: I'm nervous. So I was working in corporate world, left 593 00:33:44,240 --> 00:33:49,120 Speaker 1: via sat home mom, sacrificed a salary, a lifestyle, went 594 00:33:49,240 --> 00:33:51,880 Speaker 1: back into the corporate world after my children were in 595 00:33:51,920 --> 00:33:55,200 Speaker 1: middle school. I couldn't do it. I couldn't. I would 596 00:33:55,280 --> 00:33:59,280 Speaker 1: not leave my children all day and then for trips, 597 00:33:59,560 --> 00:34:02,440 Speaker 1: and then nobody was there to take care of my household, 598 00:34:02,520 --> 00:34:05,440 Speaker 1: or my kids or my husband. Right, So I became 599 00:34:05,440 --> 00:34:08,560 Speaker 1: an educator. I got my master's degree, a teaching degree. 600 00:34:09,000 --> 00:34:12,560 Speaker 1: I was in the school's perfect balance. I thought I 601 00:34:12,680 --> 00:34:17,520 Speaker 1: was with my kids. I was nurturing children. But still 602 00:34:18,200 --> 00:34:21,800 Speaker 1: I could have everything. I could afford everything. But I 603 00:34:22,000 --> 00:34:24,400 Speaker 1: wasn't there for my kids, and I was not happy. 604 00:34:24,560 --> 00:34:27,719 Speaker 1: And my fellow teachers. I'm a middle aged person. I 605 00:34:27,800 --> 00:34:30,279 Speaker 1: worked with a lot of young teachers who were having 606 00:34:30,320 --> 00:34:34,120 Speaker 1: their babies and giving them to daycare and going straight 607 00:34:34,200 --> 00:34:39,120 Speaker 1: back to work without without skipping a beat. And they're miserable. 608 00:34:39,360 --> 00:34:43,799 Speaker 1: They're miserable. Do you think, Susie, that women are being 609 00:34:44,440 --> 00:34:48,719 Speaker 1: told that they shouldn't be happy being moms, even if 610 00:34:48,719 --> 00:34:52,880 Speaker 1: you're highly educated and everything else, And there's a insecurity 611 00:34:52,960 --> 00:34:55,319 Speaker 1: about just being a mom, And so people are trying 612 00:34:55,400 --> 00:34:58,480 Speaker 1: to have both worlds, even if it's making them less happy. 613 00:35:00,360 --> 00:35:04,279 Speaker 1: I think there, personally, there is insecurity. I had a 614 00:35:04,400 --> 00:35:07,120 Speaker 1: lot of pushback when I left the corporate world to 615 00:35:07,160 --> 00:35:09,360 Speaker 1: take care of my children. I have an ivy lete degree. 616 00:35:09,800 --> 00:35:13,360 Speaker 1: I was told I was wasting it to raise my children. 617 00:35:14,680 --> 00:35:16,919 Speaker 1: I struggled with that, but I knew in my heart 618 00:35:17,040 --> 00:35:20,759 Speaker 1: that my children needed me. My baby needed me. He 619 00:35:20,760 --> 00:35:24,200 Speaker 1: needed to smell me, not a daycare worker. Yea. And 620 00:35:25,320 --> 00:35:27,440 Speaker 1: when we hear you and thank you so much for 621 00:35:27,760 --> 00:35:30,480 Speaker 1: sharing your your perspective on this um, you know, Clay, 622 00:35:31,680 --> 00:35:33,600 Speaker 1: I often think about this. My mom gave up her 623 00:35:33,640 --> 00:35:35,640 Speaker 1: career to take care of for kids. She was working. 624 00:35:35,680 --> 00:35:37,719 Speaker 1: As we know from the Ralph Machio commercial that was 625 00:35:37,800 --> 00:35:39,440 Speaker 1: on and she decided she was going to stay home 626 00:35:39,480 --> 00:35:41,359 Speaker 1: and take care of for children, of which I was one. 627 00:35:41,840 --> 00:35:43,640 Speaker 1: I think that was one of the biggest advantages that 628 00:35:43,719 --> 00:35:47,400 Speaker 1: I had growing up. Two parents who stayed married and 629 00:35:47,880 --> 00:35:50,600 Speaker 1: having a mom who was focused on the kids. That's 630 00:35:50,600 --> 00:35:52,520 Speaker 1: just my belief, but I think it was a big advantage. 631 00:35:53,000 --> 00:35:56,200 Speaker 1: I So my mom went back to work when my 632 00:35:56,280 --> 00:35:59,160 Speaker 1: sister and I were in school, but she was home 633 00:35:59,200 --> 00:36:02,040 Speaker 1: when we were young. And I will tell you this, 634 00:36:02,239 --> 00:36:03,880 Speaker 1: when we so we didn't have enough money when we 635 00:36:03,920 --> 00:36:05,920 Speaker 1: hadn't started having kids, like a lot of people out there, 636 00:36:06,719 --> 00:36:09,640 Speaker 1: So we had both parents working, myself and my wife 637 00:36:10,320 --> 00:36:13,680 Speaker 1: when when I was making enough money that she didn't 638 00:36:13,719 --> 00:36:16,440 Speaker 1: have to work anymore and could stay home. And that 639 00:36:16,560 --> 00:36:19,040 Speaker 1: was by the time we were having By the time 640 00:36:19,080 --> 00:36:21,000 Speaker 1: we had our second one, like a year old or so, 641 00:36:22,080 --> 00:36:25,400 Speaker 1: our life got a billion percent better. I can't speak 642 00:36:25,480 --> 00:36:29,120 Speaker 1: for everybody out there, but not having to have both 643 00:36:29,320 --> 00:36:32,920 Speaker 1: parents working all the time made our home life a 644 00:36:33,080 --> 00:36:35,920 Speaker 1: billion percent better. And you can look around and you 645 00:36:36,000 --> 00:36:39,960 Speaker 1: could say, hey, maybe some of these couples that came 646 00:36:40,080 --> 00:36:47,520 Speaker 1: before us, maybe they actually weren't horrible sexist troglodytes. Maybe 647 00:36:47,560 --> 00:36:50,080 Speaker 1: they just recognize that if you were going to have kids, 648 00:36:50,440 --> 00:36:53,799 Speaker 1: having one parent at home with the kids makes an 649 00:36:53,840 --> 00:36:57,080 Speaker 1: awful lot of sense. Gender roles that existed for thousands 650 00:36:57,120 --> 00:37:00,359 Speaker 1: of years before the progressives came along being great