1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and buck 2 00:00:03,360 --> 00:00:09,040 Speaker 1: Sexton Show podcast. Welcome back in Clay Travis buck Sexton Show. 3 00:00:09,080 --> 00:00:11,960 Speaker 1: Appreciate all of you hanging out with us as we 4 00:00:12,119 --> 00:00:16,919 Speaker 1: roll through the Thursday edition of the program. We're gonna 5 00:00:16,960 --> 00:00:19,320 Speaker 1: be joined. This is gonna be a really interesting conversation. 6 00:00:19,400 --> 00:00:24,320 Speaker 1: I think David's wife, who has been covering so much 7 00:00:24,480 --> 00:00:28,800 Speaker 1: of the COVID controversies in an honest way, and I 8 00:00:28,880 --> 00:00:31,600 Speaker 1: believe New York Magazine correct me if I'm wrong on 9 00:00:31,640 --> 00:00:36,440 Speaker 1: that Alley. He has got a great piece out pointing 10 00:00:36,440 --> 00:00:41,240 Speaker 1: out a connection that I hadn't really thought about. The 11 00:00:41,360 --> 00:00:47,160 Speaker 1: universities that are most restrictive of free speech are most 12 00:00:47,360 --> 00:00:52,800 Speaker 1: demanding of COVID shot. And it's such an interesting combo 13 00:00:52,880 --> 00:00:57,080 Speaker 1: to think about again, the universities that are the most 14 00:00:57,120 --> 00:01:00,760 Speaker 1: restrictive of what can be said on the campus in 15 00:01:00,840 --> 00:01:07,640 Speaker 1: classrooms are the most militant about insisting that you get 16 00:01:07,640 --> 00:01:10,919 Speaker 1: the COVID shot and boosters in order to be able 17 00:01:10,959 --> 00:01:18,040 Speaker 1: to attend their university. Such an interesting window. Because the 18 00:01:18,160 --> 00:01:24,240 Speaker 1: Left in many ways has become so overarching and controlling 19 00:01:25,640 --> 00:01:30,240 Speaker 1: that they are attacking freedom in all directions. They want 20 00:01:30,240 --> 00:01:33,600 Speaker 1: to control what jokes you can make. They want to 21 00:01:33,680 --> 00:01:37,680 Speaker 1: control what opinions you can have, and they want to 22 00:01:37,800 --> 00:01:43,319 Speaker 1: demand simultaneously that they be able to control you when 23 00:01:43,400 --> 00:01:47,000 Speaker 1: it comes to the COVID shot, a completely unnecessary shot 24 00:01:47,080 --> 00:01:51,040 Speaker 1: for most people who are healthy and young. For instance, 25 00:01:51,080 --> 00:01:54,480 Speaker 1: in this country, that conversation, trust me, is gonna be 26 00:01:54,520 --> 00:01:57,080 Speaker 1: really interesting. At the top of the third hour, Senator 27 00:01:57,200 --> 00:02:00,440 Speaker 1: Josh Holly from Missouri will join us. But I wanted 28 00:02:00,480 --> 00:02:04,800 Speaker 1: to hit this because I told you South Park, which 29 00:02:04,920 --> 00:02:10,200 Speaker 1: is one of the last fearless bastions of humor in 30 00:02:10,240 --> 00:02:15,720 Speaker 1: this country. They will ridicule and lampoon anyone in a 31 00:02:15,840 --> 00:02:21,840 Speaker 1: position of power, regardless of race, gender, ethnicity. Many of 32 00:02:21,919 --> 00:02:27,360 Speaker 1: their ridiculous commentary, much of it has actually been proven true. 33 00:02:27,400 --> 00:02:30,240 Speaker 1: Remember they were one of the first places to start 34 00:02:30,360 --> 00:02:34,560 Speaker 1: mocking the idea that a transwoman that is a man 35 00:02:35,200 --> 00:02:39,480 Speaker 1: could become a female champion in athletics. They were years 36 00:02:39,520 --> 00:02:43,160 Speaker 1: ahead of this becoming a reality. And I need to 37 00:02:43,240 --> 00:02:46,919 Speaker 1: tee off for a moment when I mentioned that, did 38 00:02:46,960 --> 00:02:51,480 Speaker 1: you see what US women's national team member Alex Morgan 39 00:02:51,639 --> 00:02:56,320 Speaker 1: said in the last day or so. I like Alex Morgan, 40 00:02:57,480 --> 00:03:01,360 Speaker 1: She's a talented women's soccer player. She's a mom now. 41 00:03:01,400 --> 00:03:04,200 Speaker 1: I think back in the day she did the SI 42 00:03:04,320 --> 00:03:09,560 Speaker 1: swimsuit issue really pretty good looking makes a lot of 43 00:03:09,600 --> 00:03:12,760 Speaker 1: money as an athlete because she's talented as an athlete 44 00:03:12,800 --> 00:03:18,000 Speaker 1: and also has that wholesome appeal. She came out the 45 00:03:18,040 --> 00:03:23,639 Speaker 1: other day and said that the US women's soccer team 46 00:03:23,800 --> 00:03:30,920 Speaker 1: should consider not playing in Florida and Texas because those 47 00:03:30,919 --> 00:03:35,200 Speaker 1: states require people to compete against the gender at their 48 00:03:35,280 --> 00:03:41,560 Speaker 1: birth and it was such a ludicrously dumb statement it 49 00:03:41,560 --> 00:03:48,120 Speaker 1: almost made my brain explode. Because the US women's soccer 50 00:03:48,160 --> 00:03:50,440 Speaker 1: team is the best women's soccer team in the world. 51 00:03:50,520 --> 00:03:54,960 Speaker 1: We win the World Cup all the time a large degree. 52 00:03:55,040 --> 00:03:58,280 Speaker 1: The reason why we do that is because women here 53 00:03:58,320 --> 00:04:01,840 Speaker 1: have freedoms, and most of the countries we play against 54 00:04:01,880 --> 00:04:07,000 Speaker 1: women don't have freedoms. When the Women's World Cup bracket 55 00:04:07,040 --> 00:04:11,800 Speaker 1: comes out, you can almost pick every winner just based 56 00:04:11,840 --> 00:04:15,080 Speaker 1: on the freedom that women have in those countries. It 57 00:04:15,160 --> 00:04:17,840 Speaker 1: shouldn't be a big surprise that the US women are 58 00:04:17,880 --> 00:04:20,880 Speaker 1: better than the Afghan women. Yeah, they can go to 59 00:04:20,920 --> 00:04:24,080 Speaker 1: school and they can wear shorts. They should be better 60 00:04:24,120 --> 00:04:27,240 Speaker 1: at soccer than people who can't go to school and 61 00:04:27,279 --> 00:04:31,039 Speaker 1: can't wear shorts. Which is why it's so frustrating to 62 00:04:31,040 --> 00:04:33,400 Speaker 1: me that the US women don't come out and say, hey, 63 00:04:34,000 --> 00:04:38,200 Speaker 1: let's support women's human rights around the world. Instead, they've 64 00:04:38,200 --> 00:04:42,920 Speaker 1: allied themselves with the woke imbeciles in America. And so 65 00:04:42,960 --> 00:04:46,720 Speaker 1: Alex Morgan said, well, maybe we shouldn't even play in 66 00:04:46,800 --> 00:04:52,160 Speaker 1: Texas and Florida because they're not letting trans people compete 67 00:04:52,240 --> 00:04:57,520 Speaker 1: against women. And I'm like, are you really this dumb, 68 00:04:58,760 --> 00:05:01,920 Speaker 1: because there would be, you know, US women's soccer team 69 00:05:02,800 --> 00:05:05,640 Speaker 1: if they let dudes who want to identify as women 70 00:05:06,080 --> 00:05:10,000 Speaker 1: be on the US women's soccer team. Instead, the US 71 00:05:10,080 --> 00:05:15,640 Speaker 1: women's soccer team lost to a group of boys fifteen 72 00:05:15,640 --> 00:05:18,760 Speaker 1: and under in Dallas, Texas in a tune up match 73 00:05:18,800 --> 00:05:22,480 Speaker 1: for the Women's World Cup, five to two. I believe 74 00:05:24,760 --> 00:05:28,200 Speaker 1: think about that for a minute. Fifteen year old boys 75 00:05:29,080 --> 00:05:34,400 Speaker 1: in one major metropolitan city, A travel team of fifteen 76 00:05:34,600 --> 00:05:40,360 Speaker 1: year old and under boys absolutely dominated the grown women 77 00:05:40,440 --> 00:05:44,480 Speaker 1: on the US women's soccer team. If the US women 78 00:05:44,600 --> 00:05:48,320 Speaker 1: played the US men in soccer, the US men would 79 00:05:48,320 --> 00:05:52,120 Speaker 1: win a hundred to nothing and the US women would 80 00:05:52,160 --> 00:05:57,240 Speaker 1: have no goal scoring opportunities. That's not hyperbole, that's not exaggeration. 81 00:05:57,279 --> 00:06:00,320 Speaker 1: If the US men went one hundred percent full or 82 00:06:00,880 --> 00:06:02,960 Speaker 1: they would win like a hundred to nothing in a 83 00:06:03,000 --> 00:06:06,880 Speaker 1: soccer match against the US women. There is no comparison 84 00:06:07,240 --> 00:06:10,520 Speaker 1: between the skill level of US men's soccer players and 85 00:06:10,720 --> 00:06:14,360 Speaker 1: US women's soccer players. The women win because they play 86 00:06:14,400 --> 00:06:21,960 Speaker 1: against women. That's not denigrading them, But they're arguing against 87 00:06:22,000 --> 00:06:28,800 Speaker 1: Texas and Florida laws that just require that kids in 88 00:06:28,920 --> 00:06:32,240 Speaker 1: high school compete against the gender on their birth certificate. 89 00:06:34,360 --> 00:06:40,080 Speaker 1: That's one hundred percent normal. If we didn't require that, 90 00:06:41,360 --> 00:06:45,000 Speaker 1: then some fifteen year old boy who decides to identify 91 00:06:45,000 --> 00:06:47,400 Speaker 1: as a girl would be the best soccer player in 92 00:06:47,440 --> 00:06:50,279 Speaker 1: the state of Texas or the state of Florida, and 93 00:06:50,360 --> 00:06:53,240 Speaker 1: they would dominate women's sports, which is what we're seeing happen, 94 00:06:53,680 --> 00:06:57,400 Speaker 1: like the Leah Thomas situation, where this dude who decides 95 00:06:57,440 --> 00:07:02,560 Speaker 1: to become a woman becomes the greatest women swimmer in college. So, 96 00:07:03,720 --> 00:07:08,920 Speaker 1: in all seriousness, how in the world has it become 97 00:07:09,720 --> 00:07:14,720 Speaker 1: so commonplace for women's athletes to be so dumb. They're 98 00:07:14,760 --> 00:07:20,960 Speaker 1: basically rooting for the erasure of women's athletics because these 99 00:07:21,000 --> 00:07:26,760 Speaker 1: trans dudes, these dudes who decide to become women are 100 00:07:26,880 --> 00:07:30,160 Speaker 1: going to if enough of them do it totally eliminate 101 00:07:30,200 --> 00:07:33,200 Speaker 1: all women's athletes because the men are bigger, stronger, and 102 00:07:33,280 --> 00:07:36,640 Speaker 1: faster than the women, and suddenly deciding to identify as 103 00:07:36,640 --> 00:07:39,760 Speaker 1: a woman doesn't change the biological advantages that you have. 104 00:07:41,320 --> 00:07:44,360 Speaker 1: So south Park was actually ahead of the curve in 105 00:07:44,520 --> 00:07:50,960 Speaker 1: pointing out the logical extension of this absurdity. And I 106 00:07:51,040 --> 00:07:54,120 Speaker 1: gotta be honest with you, I loved this clip that 107 00:07:54,200 --> 00:07:56,760 Speaker 1: I saw this morning. I haven't watched the whole show, 108 00:07:57,520 --> 00:08:00,600 Speaker 1: but they're one of the few media outlets I wish 109 00:08:00,640 --> 00:08:04,120 Speaker 1: buck were here to hear this. To completely go after 110 00:08:04,240 --> 00:08:09,560 Speaker 1: the hypocrisy of Harry and Meghan complaining about getting too 111 00:08:09,640 --> 00:08:13,680 Speaker 1: much media attention by doing more and more interviews, more 112 00:08:13,760 --> 00:08:18,880 Speaker 1: and more reality specials, and certainly by Harry releasing his latest, 113 00:08:18,920 --> 00:08:23,080 Speaker 1: new best selling book. Here is a clip from south 114 00:08:23,160 --> 00:08:27,920 Speaker 1: Park absolutely eviscerating Harry and Meghan. Enjoy You've lived a 115 00:08:27,920 --> 00:08:30,080 Speaker 1: life with the Royal family, You've had everything handed to you, 116 00:08:30,120 --> 00:08:31,520 Speaker 1: but you're saying your life has been hard and now 117 00:08:31,520 --> 00:08:34,480 Speaker 1: you've written all about it in your new book. Where yes, 118 00:08:34,600 --> 00:08:37,080 Speaker 1: that's right, fans, you see my wife and I tolly 119 00:08:37,120 --> 00:08:38,800 Speaker 1: like you should write a book because your family, like, 120 00:08:38,880 --> 00:08:42,400 Speaker 1: stop it and then start like journalists. So you hate johnalists, 121 00:08:42,800 --> 00:08:44,840 Speaker 1: that's right, And now you wrote a book that reports 122 00:08:44,840 --> 00:08:47,640 Speaker 1: on the lives of the royal family, right, So yeah, Johnalist, 123 00:08:47,880 --> 00:08:49,840 Speaker 1: we just want to be normal people. All this attention 124 00:08:49,880 --> 00:08:52,760 Speaker 1: is so hard. Isn't it true, sir? That your questionable 125 00:08:52,760 --> 00:08:54,520 Speaker 1: wife has her own TV show and hangs out with 126 00:08:54,559 --> 00:08:57,840 Speaker 1: celebrities and does fashion magazines. What do you say jesting? Well, 127 00:08:57,880 --> 00:09:00,440 Speaker 1: I just think some people might say that you're Instagram 128 00:09:00,480 --> 00:09:03,040 Speaker 1: loving bitch wife actually doesn't want to privee today? How 129 00:09:03,240 --> 00:09:06,360 Speaker 1: dare you, sir? My Instagram loving pitch wife has always 130 00:09:06,360 --> 00:09:09,760 Speaker 1: wanted there and do you know what else to how it? Kindada, 131 00:09:09,960 --> 00:09:15,679 Speaker 1: we are leaving? Oh my god, my Instagram loving bitch wife. 132 00:09:16,520 --> 00:09:23,000 Speaker 1: I just let me just point this out. Republicans have 133 00:09:23,679 --> 00:09:28,679 Speaker 1: a massive opportunity that I would have never believed was possible. 134 00:09:28,720 --> 00:09:30,280 Speaker 1: I'm writing this in my book, which is going to 135 00:09:30,360 --> 00:09:34,920 Speaker 1: be out in September. Would you have ever believed that 136 00:09:34,960 --> 00:09:37,840 Speaker 1: Republicans could be the party that says we like jokes, 137 00:09:38,800 --> 00:09:42,040 Speaker 1: and we like comedians, and we think comedians should be 138 00:09:42,080 --> 00:09:47,640 Speaker 1: able to make jokes because we like to laugh. Democrats 139 00:09:47,640 --> 00:09:50,120 Speaker 1: have so lost their mind can we just clip, by 140 00:09:50,160 --> 00:09:54,000 Speaker 1: the way, that little part about my Instagram loving pitch wife, 141 00:09:54,520 --> 00:09:57,840 Speaker 1: that last little bit, because I if you didn't I 142 00:09:57,920 --> 00:10:00,040 Speaker 1: tweeted out in the clip, and you might not be 143 00:10:00,040 --> 00:10:03,679 Speaker 1: able to tell greatly the audio because there's a character 144 00:10:03,720 --> 00:10:06,200 Speaker 1: who's speaking as if she's Megan, there's a character who's 145 00:10:06,200 --> 00:10:08,640 Speaker 1: speaking as if he's Harry, and then there is the 146 00:10:08,720 --> 00:10:13,240 Speaker 1: interviewer of what is described as a Canadian broadcast show. 147 00:10:14,160 --> 00:10:17,840 Speaker 1: So you might need to see the clip one hundred 148 00:10:17,880 --> 00:10:23,400 Speaker 1: percent to enjoy it. But how crazy is it that 149 00:10:23,640 --> 00:10:28,160 Speaker 1: Democrats have so embraced cancel culture that if a joke 150 00:10:28,320 --> 00:10:32,280 Speaker 1: makes somebody uncomfortable, they don't believe it should be said. 151 00:10:33,840 --> 00:10:37,040 Speaker 1: Even beyond that, they think that the joke is violence 152 00:10:38,200 --> 00:10:40,720 Speaker 1: and that people need to be protected from jokes that 153 00:10:40,800 --> 00:10:47,280 Speaker 1: make them uncomfortable. What in the world if you were 154 00:10:47,320 --> 00:10:53,520 Speaker 1: trying to craft a platform to win the majority of America. 155 00:10:53,640 --> 00:10:58,280 Speaker 1: I've made this analogy before, It's in my book. If 156 00:10:58,320 --> 00:11:01,600 Speaker 1: you go to a comedy club and you pulled up 157 00:11:01,600 --> 00:11:04,200 Speaker 1: at that comedy club and somebody who was standing outside 158 00:11:04,200 --> 00:11:07,920 Speaker 1: the comedy club with a poster protesting the jokes that 159 00:11:07,960 --> 00:11:10,400 Speaker 1: were going to be made by the comedian inside, what 160 00:11:10,480 --> 00:11:14,200 Speaker 1: would you do? Almost every single one of you would 161 00:11:14,280 --> 00:11:17,520 Speaker 1: roll your eyes and be like, what a freaking loser 162 00:11:18,520 --> 00:11:23,760 Speaker 1: who protests jokes outside of a comedy club. You would 163 00:11:23,800 --> 00:11:27,440 Speaker 1: dismiss that person as a loser, and you would be like, 164 00:11:27,520 --> 00:11:30,920 Speaker 1: this person doesn't deserve an ounce of my respect or attention. 165 00:11:32,800 --> 00:11:35,400 Speaker 1: If that same person, and that's despite the fact that 166 00:11:35,400 --> 00:11:37,960 Speaker 1: whoever that person was, would have gotten a poster board, 167 00:11:38,400 --> 00:11:41,000 Speaker 1: they would have made a sign, They would have gone 168 00:11:41,040 --> 00:11:44,520 Speaker 1: and gotten transportation to go to the comedy club, and 169 00:11:44,600 --> 00:11:47,000 Speaker 1: they would be standing outside of the comedy club and 170 00:11:47,080 --> 00:11:49,640 Speaker 1: the heat to sign, the rain, whatever it might be, 171 00:11:50,280 --> 00:11:53,320 Speaker 1: to let their opinion be heard about the dangers of 172 00:11:53,360 --> 00:11:56,920 Speaker 1: the jokes that were being told inside of that comedy club. 173 00:11:58,280 --> 00:12:02,839 Speaker 1: Same person gets on media and tweets old jokes from 174 00:12:02,880 --> 00:12:06,160 Speaker 1: comedians that they're offended by, and the media covers it 175 00:12:06,240 --> 00:12:09,679 Speaker 1: like it's news and treats those people complaining online as 176 00:12:09,720 --> 00:12:15,160 Speaker 1: if they are heroes. Why have we gotten to a 177 00:12:15,280 --> 00:12:20,720 Speaker 1: world where we treat people who are anonymous online with 178 00:12:20,800 --> 00:12:25,120 Speaker 1: more respect than we would people who are actually physically 179 00:12:25,160 --> 00:12:29,080 Speaker 1: present in our lives. I would argue we've got this 180 00:12:29,120 --> 00:12:33,680 Speaker 1: one hundred percent backwards. We should give more respect to 181 00:12:33,760 --> 00:12:36,200 Speaker 1: the people who are at least willing to publicly put 182 00:12:36,240 --> 00:12:40,120 Speaker 1: their face in their time out behind their opinions, ie 183 00:12:40,160 --> 00:12:42,280 Speaker 1: the people who show up outside of a comedy club. 184 00:12:42,720 --> 00:12:47,280 Speaker 1: Then we do the people who are complaining on social media, 185 00:12:47,559 --> 00:12:52,400 Speaker 1: often from anonymous accounts. Yet we're backwards there. I'm not 186 00:12:52,440 --> 00:12:54,800 Speaker 1: saying we should give credence to any of them. I 187 00:12:54,800 --> 00:12:58,319 Speaker 1: think they're all losers. It's a sign of how amazing 188 00:12:58,320 --> 00:13:01,960 Speaker 1: America is that we have so much freedom and so 189 00:13:02,040 --> 00:13:05,120 Speaker 1: much free time that people can complain about the jokes 190 00:13:05,160 --> 00:13:10,720 Speaker 1: comedians make, because remember, they're jokes, they're not real. They're 191 00:13:10,720 --> 00:13:14,840 Speaker 1: designing to make people laugh. Think about how much different 192 00:13:14,880 --> 00:13:19,120 Speaker 1: America would look like today if we simply treated everyone 193 00:13:19,200 --> 00:13:23,920 Speaker 1: complaining online like we do everyone complaining in person, in 194 00:13:23,960 --> 00:13:27,840 Speaker 1: particular as it pertains to jokes. Just think about it. 195 00:13:28,679 --> 00:13:32,040 Speaker 1: Your mind's probably blown a little bit, but it is 196 00:13:32,160 --> 00:13:36,600 Speaker 1: crazy to what extent we've allowed losers on social media 197 00:13:36,720 --> 00:13:41,760 Speaker 1: to dictate the entire direction this country goes. We'll take 198 00:13:41,760 --> 00:13:43,079 Speaker 1: some of your calls and then we're gonna talk with 199 00:13:43,120 --> 00:13:45,439 Speaker 1: David's why he is going to be fantastic. I think 200 00:13:45,440 --> 00:13:47,880 Speaker 1: it's gonna be a really interesting discussion about where freedom 201 00:13:47,920 --> 00:13:49,480 Speaker 1: has gone. I think it ties in with what I 202 00:13:49,600 --> 00:13:52,240 Speaker 1: just discussed. And if you want to see that clip 203 00:13:52,280 --> 00:13:54,679 Speaker 1: from South Park, it's up on my Twitter account. You 204 00:13:54,720 --> 00:13:57,760 Speaker 1: can find it at Clay Travis there. But I want 205 00:13:57,760 --> 00:14:00,440 Speaker 1: to tell you as we roll into our number or two, 206 00:14:01,240 --> 00:14:03,680 Speaker 1: preserving your family's legacy in history is a big deal. 207 00:14:04,080 --> 00:14:07,079 Speaker 1: How many of you out there right now had a dad, mom, 208 00:14:07,240 --> 00:14:09,960 Speaker 1: grandma and grandpa walked around with one of those camcorders 209 00:14:10,040 --> 00:14:13,080 Speaker 1: back in the day recording everything that happened at your 210 00:14:13,120 --> 00:14:16,160 Speaker 1: family's Thanksgiving or Christmas. How many of you have seen 211 00:14:16,240 --> 00:14:19,440 Speaker 1: old videos of you opening up Christmas presents from back 212 00:14:19,480 --> 00:14:21,480 Speaker 1: in the eighties, back in the nineties. You know that 213 00:14:21,600 --> 00:14:26,320 Speaker 1: VHS tape is designed to disintegrate. It will not last forever. 214 00:14:26,440 --> 00:14:28,720 Speaker 1: How many of you even still have a VCR in 215 00:14:28,800 --> 00:14:31,840 Speaker 1: your house to even be able to watch those clips. 216 00:14:32,160 --> 00:14:35,320 Speaker 1: You need to protect your family's memories and their history 217 00:14:35,400 --> 00:14:38,400 Speaker 1: while you can, and our friends at Legacy Box can 218 00:14:38,480 --> 00:14:42,520 Speaker 1: do it. They're based in Chattanooga, Tennessee, my mom's hometown, 219 00:14:43,120 --> 00:14:48,840 Speaker 1: US based company. They have more VCRs probably than anybody 220 00:14:48,920 --> 00:14:52,360 Speaker 1: in the entire world because they are trying to preserve 221 00:14:52,720 --> 00:14:56,040 Speaker 1: so many memories out there every single day. They've got 222 00:14:56,040 --> 00:14:59,920 Speaker 1: a huge staff. They'll treat your family's history with love, respect, 223 00:15:00,200 --> 00:15:02,040 Speaker 1: and they'll put it on a digital file so you 224 00:15:02,120 --> 00:15:06,680 Speaker 1: have it forever. Become your family's hero and save all 225 00:15:06,720 --> 00:15:09,560 Speaker 1: of these great memories before it's too late. Here's how 226 00:15:09,640 --> 00:15:13,160 Speaker 1: you do it. Go to legacybox dot com slash clay 227 00:15:13,200 --> 00:15:17,800 Speaker 1: to get a great discount. Legacybox dot com slash Clay. 228 00:15:18,520 --> 00:15:23,160 Speaker 1: The Voices of Sanity in an Insane World Clay Travis 229 00:15:23,160 --> 00:15:27,840 Speaker 1: Sandon buck Sexton, Welcome back in, Clay Travis buck Sexton. 230 00:15:28,040 --> 00:15:31,600 Speaker 1: Show a lot of great emails rolling in. I want 231 00:15:31,600 --> 00:15:34,800 Speaker 1: to hit a couple of them here. Alex Morgan should 232 00:15:34,800 --> 00:15:37,120 Speaker 1: be asked if the US women's team should play in 233 00:15:37,160 --> 00:15:40,760 Speaker 1: the twenty twenty three FIFA World Cup if Visit Saudi 234 00:15:40,920 --> 00:15:44,520 Speaker 1: is a sponsor. Visit Saudy, the Gulf nation's Tourist Board 235 00:15:44,560 --> 00:15:46,680 Speaker 1: is said to be unveiled as a sponsor of this 236 00:15:46,760 --> 00:15:51,640 Speaker 1: summer's FIFA Women's World Cup in Australia and New Zealand. Yeah. Look, 237 00:15:52,720 --> 00:15:55,920 Speaker 1: my position in general on this is I don't have 238 00:15:55,960 --> 00:16:01,360 Speaker 1: any issue with athletes deciding that they want to speak 239 00:16:01,400 --> 00:16:05,480 Speaker 1: out aggressively on social issues, but you have to be consistent. 240 00:16:06,000 --> 00:16:08,800 Speaker 1: This is why, for instance, I've gone after the MBA 241 00:16:08,840 --> 00:16:12,440 Speaker 1: in a big way over China. If you're gonna rip 242 00:16:12,960 --> 00:16:18,280 Speaker 1: American institutions and say that police hate black people in America, 243 00:16:18,400 --> 00:16:20,800 Speaker 1: I think at a minimum you should say, hey, maybe 244 00:16:20,800 --> 00:16:26,040 Speaker 1: there shouldn't be weakers in concentration camps in Xingjiang, China. 245 00:16:26,200 --> 00:16:29,880 Speaker 1: You shouldn't take billions of dollars from China for actual 246 00:16:30,040 --> 00:16:34,240 Speaker 1: slave labor that is taking place while you're ripping the 247 00:16:34,360 --> 00:16:39,640 Speaker 1: United States and its institutions. Now, if you're just gonna say, hey, 248 00:16:39,840 --> 00:16:43,040 Speaker 1: we're going to just our goal is to have our 249 00:16:43,120 --> 00:16:49,520 Speaker 1: business everywhere, then I get that. But don't rip America 250 00:16:49,640 --> 00:16:54,560 Speaker 1: for its perceived transgressions as part of woke capitalism here 251 00:16:54,960 --> 00:16:59,400 Speaker 1: and then go overseas and don't say a word about 252 00:16:59,520 --> 00:17:03,120 Speaker 1: what's going going on there. Don't be Lebron James, who's 253 00:17:03,160 --> 00:17:09,119 Speaker 1: making excuses for China while ripping the United States into shreds. 254 00:17:10,359 --> 00:17:16,680 Speaker 1: Margo writes poor under educated Don Lemon, again exposing his 255 00:17:16,880 --> 00:17:20,640 Speaker 1: lack of attendance the day the teacher explained adjectives. Prime 256 00:17:21,119 --> 00:17:28,560 Speaker 1: is that physical, intellectual, political wisdom, parental beauty, athletic Which 257 00:17:28,640 --> 00:17:33,600 Speaker 1: prime is it? We need an adjective don prime. That's 258 00:17:33,600 --> 00:17:36,160 Speaker 1: a good and good email from Margo. You hit your 259 00:17:36,200 --> 00:17:40,800 Speaker 1: prime at different ages for different aspects. I didn't have 260 00:17:40,840 --> 00:17:43,320 Speaker 1: a high level of athletic prime, but I probably hit 261 00:17:43,400 --> 00:17:46,399 Speaker 1: it around twenty seven or twenty eight. I'd like to 262 00:17:46,440 --> 00:17:49,359 Speaker 1: think that my radio prime is going to happen sometime 263 00:17:49,440 --> 00:17:52,760 Speaker 1: in my fifties or sixties. I hope it's not already here, 264 00:17:52,760 --> 00:17:59,040 Speaker 1: because it ain't that good according to lots of you. Anyway, Look, 265 00:17:59,080 --> 00:18:01,159 Speaker 1: I gotta tell you as we get ready to go 266 00:18:01,280 --> 00:18:03,520 Speaker 1: here from I think you're going to really enjoy the 267 00:18:03,600 --> 00:18:06,879 Speaker 1: David Swide conversation that we're about to have right now. 268 00:18:07,800 --> 00:18:10,640 Speaker 1: And in the meantime, I want to tell you all 269 00:18:11,800 --> 00:18:14,879 Speaker 1: about our friends. Let me scroll through. We have a 270 00:18:14,880 --> 00:18:17,240 Speaker 1: lot of different advertising hits that we got to hit 271 00:18:17,320 --> 00:18:18,600 Speaker 1: on a day to day basis, and I want to 272 00:18:18,600 --> 00:18:20,880 Speaker 1: make sure that I nail them. Get Refunds you want 273 00:18:20,880 --> 00:18:23,640 Speaker 1: to get hooked up. You know they've returned three billion 274 00:18:23,720 --> 00:18:26,840 Speaker 1: dollars to people out there with Get Refunds. You don't 275 00:18:26,840 --> 00:18:28,959 Speaker 1: have to spend a dollar with them. They have highly 276 00:18:28,960 --> 00:18:32,440 Speaker 1: trained tax specialists who will review your business and see 277 00:18:32,440 --> 00:18:35,800 Speaker 1: if you qualify for up to twenty six thousand dollars 278 00:18:35,880 --> 00:18:39,679 Speaker 1: in rebates per employee. That's crazy. These are taxes that 279 00:18:39,720 --> 00:18:43,480 Speaker 1: you've already paid. Doesn't cost you anything. All you need 280 00:18:43,520 --> 00:18:46,440 Speaker 1: to do is go to get refunds dot com, click 281 00:18:46,600 --> 00:18:50,480 Speaker 1: un qualify me, answer a few questions. Payroll tax refund 282 00:18:50,600 --> 00:18:54,080 Speaker 1: only available for a limited amount of time. Don't miss out. 283 00:18:54,400 --> 00:18:58,280 Speaker 1: Go to get refunds dot com. No risk, high reward, 284 00:18:58,640 --> 00:19:03,360 Speaker 1: Get refunds. Welcome back in Clay Travis buck Sexton Show, 285 00:19:03,760 --> 00:19:07,639 Speaker 1: first guest of the day, and he has got a 286 00:19:07,800 --> 00:19:10,719 Speaker 1: really interesting piece up right now. Stevens why. He has 287 00:19:10,720 --> 00:19:12,440 Speaker 1: been on the show a couple of times before. Journalist 288 00:19:12,520 --> 00:19:16,400 Speaker 1: with the Atlantic Free Press and also New York Magazine. 289 00:19:16,400 --> 00:19:20,119 Speaker 1: He has a substack David Swig dot substack dot com. 290 00:19:20,240 --> 00:19:22,880 Speaker 1: And I want to start with something that I hadn't 291 00:19:22,920 --> 00:19:24,840 Speaker 1: really thought about, but then I read your piece and 292 00:19:24,880 --> 00:19:27,879 Speaker 1: I was like, man, this is so fascinating. You have 293 00:19:28,000 --> 00:19:32,639 Speaker 1: pointed out that the universities that have the most stringent 294 00:19:32,840 --> 00:19:38,439 Speaker 1: speech codes also have the most aggressive requirements for the 295 00:19:38,520 --> 00:19:43,119 Speaker 1: COVID shot, and it is such an interesting combination that 296 00:19:43,240 --> 00:19:47,000 Speaker 1: I hadn't thought of before. What led you to this idea? 297 00:19:47,200 --> 00:19:49,360 Speaker 1: What did you uncover and what do you think it's 298 00:19:49,400 --> 00:19:56,480 Speaker 1: telling us? Hey, yeah, thanks for having me. And I 299 00:19:56,520 --> 00:20:00,240 Speaker 1: had seen this list from this organization called FIRE, which 300 00:20:00,280 --> 00:20:03,920 Speaker 1: is Foundation for Individual Rights and Expression, where they had 301 00:20:03,920 --> 00:20:07,639 Speaker 1: put together a list of I think two hundred or 302 00:20:07,680 --> 00:20:12,000 Speaker 1: so colleges and universities and it was based on questionnaires 303 00:20:12,000 --> 00:20:15,440 Speaker 1: that were sent out to thousands and thousands of students 304 00:20:15,520 --> 00:20:20,960 Speaker 1: where they rated colleges basically by their free speech environment, 305 00:20:21,480 --> 00:20:25,040 Speaker 1: you know. So it wasn't specifically like, I don't think 306 00:20:25,040 --> 00:20:28,040 Speaker 1: an official code, because I'm sure most universities have, but 307 00:20:28,280 --> 00:20:30,480 Speaker 1: but it was more about what, you know, tens of 308 00:20:30,520 --> 00:20:33,240 Speaker 1: thousands of students had to say about what's it like 309 00:20:33,440 --> 00:20:37,600 Speaker 1: to be on this campus. So I've seen that list 310 00:20:38,280 --> 00:20:40,840 Speaker 1: and it stuck in the back of my mind for 311 00:20:40,880 --> 00:20:44,120 Speaker 1: a long time. And as probably a lot of us 312 00:20:44,160 --> 00:20:48,240 Speaker 1: have observed, there certainly does seem to be a correlation 313 00:20:48,400 --> 00:20:53,560 Speaker 1: between kind of the more far left and progressive that 314 00:20:53,560 --> 00:20:57,679 Speaker 1: that universities have become and the limitations on free speech. 315 00:20:57,720 --> 00:21:01,159 Speaker 1: And I also from having written about COVID for the 316 00:21:01,240 --> 00:21:04,520 Speaker 1: last three years and really tracking it closely, we also 317 00:21:05,119 --> 00:21:09,280 Speaker 1: all sort of observed that the far left has seemed 318 00:21:09,280 --> 00:21:12,480 Speaker 1: to be the most militant which a lot of it's 319 00:21:12,520 --> 00:21:18,680 Speaker 1: sort of aggressive pandemic policies, which includes vaccines. So on 320 00:21:18,720 --> 00:21:21,040 Speaker 1: a whim, you know, I thought, you know, I'm going 321 00:21:21,119 --> 00:21:24,040 Speaker 1: to look up a bunch of the colleges on this list. 322 00:21:24,560 --> 00:21:28,679 Speaker 1: I wonder if there's a correlation, and I gotta say 323 00:21:28,800 --> 00:21:34,919 Speaker 1: I was blown away by how direct and obvious the 324 00:21:34,960 --> 00:21:37,080 Speaker 1: correlation was. I thought there might be a little bit 325 00:21:37,080 --> 00:21:39,680 Speaker 1: of a loose connection, but it is one to one. 326 00:21:40,960 --> 00:21:44,560 Speaker 1: So what I would say looking at this is that 327 00:21:45,119 --> 00:21:50,480 Speaker 1: there is this idea of kids, and I'm using kids 328 00:21:50,520 --> 00:21:54,960 Speaker 1: obviously in the definition of college kids as being in 329 00:21:54,960 --> 00:22:00,600 Speaker 1: incredible danger. There's this palpable fear that someone might say 330 00:22:00,680 --> 00:22:05,160 Speaker 1: something that upset you, that you might catch COVID. My 331 00:22:05,240 --> 00:22:10,320 Speaker 1: wife is finishing law school right now, and at the school, 332 00:22:11,080 --> 00:22:15,000 Speaker 1: these kids in their twenties were terrified of what might 333 00:22:15,119 --> 00:22:18,439 Speaker 1: happen to them if they caught COVID. And she had 334 00:22:18,440 --> 00:22:20,199 Speaker 1: a conversation with some of them and she was like, well, 335 00:22:20,200 --> 00:22:21,960 Speaker 1: what do you think would happen if you caught COVID? 336 00:22:21,960 --> 00:22:24,399 Speaker 1: They're like, oh, I would get hospitalized and I might die. 337 00:22:25,440 --> 00:22:29,120 Speaker 1: And I felt so bad for them in that way, 338 00:22:29,240 --> 00:22:33,280 Speaker 1: because I can't imagine what it's like to live in 339 00:22:33,440 --> 00:22:37,520 Speaker 1: a world where you are so terrified all the time 340 00:22:38,080 --> 00:22:42,040 Speaker 1: about what people might say, about what someone might breathe 341 00:22:42,040 --> 00:22:44,919 Speaker 1: on you, and you might get a virus. And it 342 00:22:45,040 --> 00:22:47,960 Speaker 1: seems to me that instead of trying to toughen these 343 00:22:48,080 --> 00:22:52,520 Speaker 1: kids up and share with them risk analysis, and that 344 00:22:52,680 --> 00:22:56,320 Speaker 1: a big part of adulthood is understanding how to deal 345 00:22:56,400 --> 00:22:59,919 Speaker 1: with dangers in your life while still being a normal, 346 00:23:00,080 --> 00:23:04,960 Speaker 1: functioning adult, we're actually coddling them more and more, which 347 00:23:05,000 --> 00:23:07,600 Speaker 1: is making them weaker and weaker. In other words, iron 348 00:23:07,640 --> 00:23:10,160 Speaker 1: sharpens iron, and I really do think that's true. Right. 349 00:23:10,480 --> 00:23:13,920 Speaker 1: The harder you push yourself, the harder you work, the 350 00:23:13,960 --> 00:23:17,240 Speaker 1: more you end up as a refined version of yourself. 351 00:23:17,560 --> 00:23:21,200 Speaker 1: The more you coddled these kids, the more coddled they become, 352 00:23:21,560 --> 00:23:26,919 Speaker 1: and the weaker they become. Yeah, it's you articulated this 353 00:23:27,040 --> 00:23:29,240 Speaker 1: really well, I think better than I do to my piece, 354 00:23:29,280 --> 00:23:33,280 Speaker 1: which is like this this sort of broader connection between 355 00:23:33,760 --> 00:23:39,199 Speaker 1: a culture or almost like an ideology of victimhood and 356 00:23:39,320 --> 00:23:44,520 Speaker 1: of danger. You know where free speech and hearing ideas 357 00:23:44,640 --> 00:23:47,640 Speaker 1: is dangerous. Hearing things that you don't want to hear 358 00:23:47,840 --> 00:23:53,040 Speaker 1: can harm you. It makes sense that the people that 359 00:23:53,240 --> 00:23:57,160 Speaker 1: kind of enforce that type of environment would also then 360 00:23:57,760 --> 00:24:02,639 Speaker 1: see COVID as this, you know, incredibly dangerous thing to 361 00:24:03,480 --> 00:24:07,000 Speaker 1: healthy young college students. So I think I think you're 362 00:24:07,080 --> 00:24:11,280 Speaker 1: right to draw that line from those two things. It's 363 00:24:11,320 --> 00:24:14,680 Speaker 1: really kind of like an overall overarching way that these 364 00:24:14,680 --> 00:24:18,920 Speaker 1: people conduct their lives, the people in charge as well 365 00:24:18,960 --> 00:24:22,320 Speaker 1: as I guess a lot of students at these universities. 366 00:24:22,600 --> 00:24:24,760 Speaker 1: You know, I think there is something else going on 367 00:24:24,880 --> 00:24:28,560 Speaker 1: as well, which is which I touched on in my 368 00:24:28,680 --> 00:24:31,600 Speaker 1: piece on this, which is I think it's also obviously 369 00:24:31,680 --> 00:24:34,880 Speaker 1: just part of signaling to the tribe that like, let's 370 00:24:34,480 --> 00:24:38,440 Speaker 1: set set aside the larger thesis that you mentioned, which 371 00:24:38,440 --> 00:24:42,119 Speaker 1: I agree with. I think it's also it was seen 372 00:24:42,359 --> 00:24:46,159 Speaker 1: as quote bad and you're on the right with the 373 00:24:46,240 --> 00:24:50,080 Speaker 1: bad people if you had questions about some of these 374 00:24:50,119 --> 00:24:55,479 Speaker 1: COVID restrictions and mitigations or vaccine mandates. Therefore, you know, 375 00:24:55,600 --> 00:24:58,760 Speaker 1: just by like a deductive reasoning, Therefore, if we want 376 00:24:58,800 --> 00:25:01,280 Speaker 1: to be seen as the good people on the far 377 00:25:01,359 --> 00:25:04,199 Speaker 1: left side, the best way to signal that is to 378 00:25:04,280 --> 00:25:07,439 Speaker 1: be as aggressive as we can. That the sort of 379 00:25:07,480 --> 00:25:12,199 Speaker 1: like more fearful we appear, and the more you know, 380 00:25:12,600 --> 00:25:16,280 Speaker 1: a militant we become in our efforts to sort of 381 00:25:16,280 --> 00:25:21,160 Speaker 1: fight the COVID foe. Then the more that shows everyone 382 00:25:21,240 --> 00:25:24,119 Speaker 1: that our university is on the correct side of things. 383 00:25:24,800 --> 00:25:27,440 Speaker 1: All right, You right at places, and we've talked about 384 00:25:27,480 --> 00:25:29,560 Speaker 1: this before, which I love and respect that you've had 385 00:25:29,560 --> 00:25:33,320 Speaker 1: the bravery to do this New York Magazine, The Atlantic. 386 00:25:33,440 --> 00:25:35,880 Speaker 1: I mean, these are not places where I would imagine 387 00:25:35,880 --> 00:25:37,840 Speaker 1: a lot of the things that you have said. The 388 00:25:37,880 --> 00:25:40,760 Speaker 1: audience has been particularly receptive to it. You know, the 389 00:25:40,800 --> 00:25:44,440 Speaker 1: idea that masks don't make sense, the idea that schools 390 00:25:44,480 --> 00:25:48,359 Speaker 1: should open up. Are you starting to hear from people 391 00:25:48,440 --> 00:25:53,680 Speaker 1: who may have been foes of your early reporting, Yeah, 392 00:25:53,840 --> 00:25:58,080 Speaker 1: you ended up being right on all this, because it's interesting. 393 00:25:58,160 --> 00:26:01,480 Speaker 1: It seems like there hasn't really been reckoning. It's just 394 00:26:01,560 --> 00:26:04,160 Speaker 1: like there's a lot of people who want to pretend, oh, 395 00:26:04,240 --> 00:26:07,480 Speaker 1: we couldn't have known any better. It was super complicated 396 00:26:07,520 --> 00:26:10,240 Speaker 1: in the early days, and they want to write off 397 00:26:10,480 --> 00:26:12,800 Speaker 1: the fact that people like you and frankly me and 398 00:26:12,880 --> 00:26:15,760 Speaker 1: Buck who's on his honeymoon right now, we're actually out 399 00:26:15,800 --> 00:26:19,520 Speaker 1: there saying no, no, in real time. This isn't making sense. 400 00:26:19,600 --> 00:26:22,600 Speaker 1: I'm curious what you're seeing in your social networks and 401 00:26:22,720 --> 00:26:27,080 Speaker 1: hearing from people about this. Yeah, I think you're exactly 402 00:26:27,160 --> 00:26:29,439 Speaker 1: right for a long time, and there's a lot of 403 00:26:29,480 --> 00:26:33,199 Speaker 1: people who are, you know, justifiably angry about this, and 404 00:26:33,240 --> 00:26:36,520 Speaker 1: they want there to be you know, to use your 405 00:26:36,520 --> 00:26:39,639 Speaker 1: word reckoning or you know, people have to be held accountable. 406 00:26:39,640 --> 00:26:43,280 Speaker 1: And I don't disagree with with people in charge being 407 00:26:43,280 --> 00:26:45,280 Speaker 1: held accountable, but as far I mean, that's the entire 408 00:26:45,359 --> 00:26:49,040 Speaker 1: basis of democracy, is holding your leaders accountable for their choices. 409 00:26:49,080 --> 00:26:52,119 Speaker 1: I mean, that's the point of having elections. Yeah, there 410 00:26:52,560 --> 00:26:55,520 Speaker 1: should be something that happens to some sort of a 411 00:26:55,560 --> 00:26:58,600 Speaker 1: commission or something to look into this, but kind of 412 00:26:58,640 --> 00:27:02,320 Speaker 1: pulling the lens back just of regular people, the millions 413 00:27:02,400 --> 00:27:06,040 Speaker 1: upon millions of citizens who kind of went along with 414 00:27:06,080 --> 00:27:07,680 Speaker 1: a lot of these things. Are as you were saying, 415 00:27:07,680 --> 00:27:12,600 Speaker 1: perhaps readers some of my you know, early work on this. 416 00:27:13,040 --> 00:27:14,800 Speaker 1: I don't think there is going to be a reckoning. 417 00:27:14,920 --> 00:27:17,520 Speaker 1: I think you're right, I think the way and I don't. 418 00:27:17,640 --> 00:27:21,680 Speaker 1: I'm not an astute enough, you know, observer of history, 419 00:27:22,000 --> 00:27:27,000 Speaker 1: but I think some things people are they're never going 420 00:27:27,080 --> 00:27:30,119 Speaker 1: to acknowledge we were wrong. I think there's sort of 421 00:27:30,600 --> 00:27:34,000 Speaker 1: like a you know, there's a cognitive dissionance to that, 422 00:27:34,080 --> 00:27:37,800 Speaker 1: to the moral injury, you know, that someone would suffer 423 00:27:37,960 --> 00:27:41,800 Speaker 1: from acknowledging the harm that they caused from things that 424 00:27:41,880 --> 00:27:45,159 Speaker 1: they had advocated for. I think a lot of it's 425 00:27:45,560 --> 00:27:48,320 Speaker 1: you know, optics that people wouldn't want to admit it, 426 00:27:48,400 --> 00:27:51,600 Speaker 1: you know, out loud to other people. But quite honestly, 427 00:27:51,920 --> 00:27:54,920 Speaker 1: I think most of it's probably unconscious. So I think 428 00:27:54,960 --> 00:27:59,119 Speaker 1: we all have our own rationalizations and motivated reasoning. So 429 00:27:59,560 --> 00:28:03,000 Speaker 1: they may in a major publication to say open to schools. 430 00:28:03,040 --> 00:28:06,440 Speaker 1: This was in the first week of May of twenty twenty, 431 00:28:07,200 --> 00:28:09,879 Speaker 1: and I think those people now may recognize that was 432 00:28:09,920 --> 00:28:12,880 Speaker 1: the right thing, but they'll just simply rationalize it away 433 00:28:12,880 --> 00:28:16,360 Speaker 1: and say we didn't know, so, you know. And it's 434 00:28:16,480 --> 00:28:18,879 Speaker 1: very hard to argue with that without getting into a 435 00:28:18,920 --> 00:28:21,199 Speaker 1: whole long thing with someone. So I'm not sure of 436 00:28:21,240 --> 00:28:24,800 Speaker 1: the solution to this though. Yeah, well so. And here's 437 00:28:25,000 --> 00:28:28,160 Speaker 1: here's the question last for you. Talking to David's Wig, 438 00:28:28,359 --> 00:28:30,080 Speaker 1: I was talking about this yesterday on the show. I 439 00:28:30,119 --> 00:28:32,040 Speaker 1: may build on it here in a little bit. We 440 00:28:32,160 --> 00:28:36,600 Speaker 1: know that heart you know, issues are up thirty percent 441 00:28:37,680 --> 00:28:40,720 Speaker 1: heart deaths, heart attack deaths in people aged twenty five 442 00:28:40,800 --> 00:28:44,120 Speaker 1: to forty four. Are you concerned. You were right on 443 00:28:44,280 --> 00:28:46,920 Speaker 1: kids being back in school, you were right on masks, 444 00:28:47,280 --> 00:28:50,120 Speaker 1: you were right on many of the draconian policies out there. 445 00:28:50,520 --> 00:28:53,920 Speaker 1: Are you as concerned as I am about whether the 446 00:28:53,920 --> 00:28:57,719 Speaker 1: long range impact of these COVID shots may also be 447 00:28:57,920 --> 00:29:03,480 Speaker 1: another thing that is going to linger for a long time. Well, 448 00:29:03,600 --> 00:29:05,800 Speaker 1: I was one of the first people to write about 449 00:29:05,840 --> 00:29:10,640 Speaker 1: the link between meyer karditis and UM the COVID vaccines. 450 00:29:10,680 --> 00:29:14,680 Speaker 1: I interviewed the lead scientists from Israel, and I did 451 00:29:14,720 --> 00:29:18,040 Speaker 1: this for New York magazine UM way back when. So 452 00:29:18,080 --> 00:29:22,720 Speaker 1: I've been very concerned about you know, these um you know, 453 00:29:22,800 --> 00:29:27,560 Speaker 1: serious adverse events related to the vaccine. With that said, 454 00:29:28,000 --> 00:29:31,440 Speaker 1: I think the problem is it's going to be very 455 00:29:31,520 --> 00:29:36,440 Speaker 1: hard to keys out what is causing these things because 456 00:29:36,440 --> 00:29:39,160 Speaker 1: people are going to argue that it's COVID that caused it, right, 457 00:29:39,200 --> 00:29:41,560 Speaker 1: That's that's there, that's their lynch pen here. It's not 458 00:29:41,600 --> 00:29:45,440 Speaker 1: the COVID shot, it's the impact of covid infection exactly, 459 00:29:45,560 --> 00:29:50,520 Speaker 1: and it's basically impossible for anyone to prove one way 460 00:29:50,600 --> 00:29:53,680 Speaker 1: or the other. Of course, different researchers and different scientists 461 00:29:53,680 --> 00:29:56,640 Speaker 1: are going to produce different studies on this, but the 462 00:29:56,640 --> 00:29:59,920 Speaker 1: fact is, without like a proper, you know, separated pool 463 00:30:00,120 --> 00:30:05,120 Speaker 1: of people, everyone has had COVID just about and you know, what, 464 00:30:05,320 --> 00:30:07,080 Speaker 1: is it eighty percent or something more of the people 465 00:30:07,120 --> 00:30:09,920 Speaker 1: have been vaccinated. So at that point it's really hard 466 00:30:09,960 --> 00:30:12,680 Speaker 1: to tease out. And needless to say, I was talking 467 00:30:12,720 --> 00:30:17,360 Speaker 1: to a researcher I'm I'm friendly with um at one 468 00:30:17,360 --> 00:30:20,240 Speaker 1: of the top medical schools in the country the other 469 00:30:20,320 --> 00:30:22,360 Speaker 1: day and I said to where can you please run 470 00:30:22,400 --> 00:30:26,400 Speaker 1: a study where we look at the geographic distribution of 471 00:30:26,480 --> 00:30:30,520 Speaker 1: long COVID sufferers and then let's cross reference that with 472 00:30:30,560 --> 00:30:33,560 Speaker 1: the voting patterns. I'd be curious to see that. Yeah, 473 00:30:33,880 --> 00:30:35,959 Speaker 1: and all that is that is to say that, like, 474 00:30:36,400 --> 00:30:39,000 Speaker 1: I know you didn't mention long COVID specifically, but and 475 00:30:39,040 --> 00:30:42,360 Speaker 1: I'm not minimizing for the people who genuinely are suffering. 476 00:30:42,640 --> 00:30:45,760 Speaker 1: But I think again, people are going to see what 477 00:30:45,800 --> 00:30:48,880 Speaker 1: they want to see, you know, needless to say, you know, 478 00:30:49,520 --> 00:30:52,280 Speaker 1: long COVID, in your theory, which I think is true, 479 00:30:52,880 --> 00:30:55,120 Speaker 1: is going to be far more common in the Northeast 480 00:30:55,120 --> 00:30:57,960 Speaker 1: and in California than it is in Alabama and Mississippi. 481 00:30:59,480 --> 00:31:02,160 Speaker 1: I think you know, someone could argue, well, maybe part 482 00:31:02,200 --> 00:31:04,920 Speaker 1: of that is, you know, lack of diagnosis in some 483 00:31:05,000 --> 00:31:07,920 Speaker 1: of the other areas. But nevertheless, I mean, they're actually 484 00:31:07,920 --> 00:31:11,000 Speaker 1: and I make this point that this sort of idea 485 00:31:11,080 --> 00:31:14,480 Speaker 1: for a study only because we've seen from some of 486 00:31:14,520 --> 00:31:18,400 Speaker 1: the existing studies that have been done that they're the 487 00:31:18,680 --> 00:31:23,000 Speaker 1: one of the biggest indicators of long COVID is if 488 00:31:23,040 --> 00:31:28,600 Speaker 1: someone has anxiety about covid um. So again I'm not diminishing. 489 00:31:28,640 --> 00:31:31,480 Speaker 1: I think there genuinely are people really suffering from this, 490 00:31:31,800 --> 00:31:33,960 Speaker 1: But we also have to acknowledge, you know, some other 491 00:31:34,000 --> 00:31:36,880 Speaker 1: factors that may or may not be influencing things. So 492 00:31:37,240 --> 00:31:39,880 Speaker 1: just getting back to your thing about the you know, 493 00:31:39,960 --> 00:31:45,240 Speaker 1: the heart issues, we're we already can predict which person, 494 00:31:45,480 --> 00:31:48,480 Speaker 1: which people will blame it on COVID and which person 495 00:31:48,480 --> 00:31:50,800 Speaker 1: and which people will blame it on the vaccine. I 496 00:31:50,840 --> 00:31:52,760 Speaker 1: think we don't know. I think it's going to be 497 00:31:52,840 --> 00:31:55,040 Speaker 1: really hard to ever chease it out, but you know, 498 00:31:55,520 --> 00:31:57,680 Speaker 1: we're just gonna have to see what happens. But you know, 499 00:31:57,760 --> 00:32:00,320 Speaker 1: with all that said, I mean this gets back to 500 00:32:00,320 --> 00:32:02,720 Speaker 1: the point of point of my article to some extent, 501 00:32:02,800 --> 00:32:05,440 Speaker 1: which is what we do know in my view at least, 502 00:32:05,680 --> 00:32:09,640 Speaker 1: is that healthy young people, particularly so who have already 503 00:32:09,640 --> 00:32:14,240 Speaker 1: been infected with COVID, there is not robust evidence that 504 00:32:14,360 --> 00:32:18,400 Speaker 1: they have any benefit of getting vaccinated, let alone you know, 505 00:32:18,480 --> 00:32:23,160 Speaker 1: triple quadruple dost at this point, and certainly no evidence 506 00:32:23,320 --> 00:32:26,440 Speaker 1: that this has a real, you know, epidemiological benefit like 507 00:32:26,480 --> 00:32:30,160 Speaker 1: that it's gonna you know, stop transmission. So it just 508 00:32:30,200 --> 00:32:35,560 Speaker 1: seems like an like it's an extraordinary moment that these universities, 509 00:32:35,600 --> 00:32:38,640 Speaker 1: particularly so many of these Ivy League universities, you know, 510 00:32:38,680 --> 00:32:42,280 Speaker 1: the most elite institutions in our country in my view, 511 00:32:42,400 --> 00:32:47,200 Speaker 1: have these policies that are just wildly divorced from you know, 512 00:32:47,240 --> 00:32:51,720 Speaker 1: a scientific or ethical basis. Fantastic work. You've been doing 513 00:32:51,760 --> 00:32:53,400 Speaker 1: it for a long time. We'll have you on again 514 00:32:53,440 --> 00:32:55,960 Speaker 1: when the new book comes out. I believe David's wage. 515 00:32:56,000 --> 00:32:58,880 Speaker 1: Pretty keep it up, my man, Thanks for having me. 516 00:32:59,000 --> 00:33:03,400 Speaker 1: Take care If your cell phone service, he's fantastic, by 517 00:33:03,440 --> 00:33:06,440 Speaker 1: the way, really done fantastic work on COVID. If your 518 00:33:06,480 --> 00:33:08,920 Speaker 1: cell phone service is still with AT and T, Verizon 519 00:33:09,040 --> 00:33:11,440 Speaker 1: or T Mobile, there's another option that will save you 520 00:33:11,480 --> 00:33:13,760 Speaker 1: a lot of money. I'm talking about pure talk, no 521 00:33:14,000 --> 00:33:17,680 Speaker 1: contract wireless company, and the only wireless company that offers 522 00:33:17,680 --> 00:33:21,120 Speaker 1: one hundred percent money back guarantee. 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State current with what Clay 540 00:34:14,080 --> 00:34:16,960 Speaker 1: and Buck are saying on TV. Find the Clay and 541 00:34:17,080 --> 00:34:19,239 Speaker 1: Buck app in your app store and make it part 542 00:34:19,280 --> 00:34:22,600 Speaker 1: of your day. Welcome back in glay drafts Buck sexon 543 00:34:22,640 --> 00:34:24,640 Speaker 1: show closing up hour number two, We're gonna be joined 544 00:34:24,640 --> 00:34:26,759 Speaker 1: by Senator Josh Holly of Missouri at the top of 545 00:34:26,800 --> 00:34:31,319 Speaker 1: the next hour. He was just charged on stage by 546 00:34:31,320 --> 00:34:35,360 Speaker 1: a climate activist. We'll see how Senator Holly handled that. 547 00:34:35,400 --> 00:34:38,000 Speaker 1: He also probably gloat about his Kansas City Chiefs winning 548 00:34:38,000 --> 00:34:40,560 Speaker 1: the Super Bowl. Unfortunately, I think he's gonna be able 549 00:34:40,560 --> 00:34:42,040 Speaker 1: to blow about that for years and years to come 550 00:34:42,080 --> 00:34:45,400 Speaker 1: because he's got Patrick Mahomes's quarterback. But we just had 551 00:34:45,400 --> 00:34:48,239 Speaker 1: a great conversation with David's wig there, and I just 552 00:34:48,280 --> 00:34:50,560 Speaker 1: want to encourage all of you to go read his 553 00:34:50,719 --> 00:34:58,160 Speaker 1: piece combining the fear of words that might hurt you 554 00:34:58,320 --> 00:35:02,879 Speaker 1: with COVID, a virus that might hurt you for young 555 00:35:02,920 --> 00:35:07,279 Speaker 1: people who are actually under threat from neither words nor 556 00:35:07,440 --> 00:35:11,520 Speaker 1: COVID on a statistical basis, and how that coddling of 557 00:35:11,560 --> 00:35:15,720 Speaker 1: the American mind is creating a generation that cannot handle 558 00:35:16,120 --> 00:35:20,799 Speaker 1: any kind of failure or conflict or frankly risk at all, 559 00:35:21,200 --> 00:35:23,480 Speaker 1: and what that might mean going forward. I also want 560 00:35:23,480 --> 00:35:27,280 Speaker 1: to point out I talked about this yesterday, thirty percent 561 00:35:27,480 --> 00:35:31,040 Speaker 1: increase in heart attack deaths in people aged twenty five 562 00:35:31,120 --> 00:35:34,880 Speaker 1: to forty four statistically proven. That is a fact. Why 563 00:35:35,800 --> 00:35:38,640 Speaker 1: why is that occurring? What he hit on is now 564 00:35:38,680 --> 00:35:42,080 Speaker 1: people are acknowledging that far more are dying of heart attacks, 565 00:35:42,480 --> 00:35:45,000 Speaker 1: and they're saying, well, this is the impact of COVID. 566 00:35:45,840 --> 00:35:49,480 Speaker 1: Why can't we have a study of people like me 567 00:35:50,160 --> 00:35:53,000 Speaker 1: who I know, I've had COVID at least twice. I 568 00:35:53,160 --> 00:35:56,920 Speaker 1: never got the COVID shot. I am forty three years 569 00:35:56,920 --> 00:36:00,520 Speaker 1: old right now. Am I under a great risk of 570 00:36:00,600 --> 00:36:03,919 Speaker 1: heart attack? Or would I be under a greater risk 571 00:36:03,960 --> 00:36:07,080 Speaker 1: of heart attack if I had had COVID and also 572 00:36:07,239 --> 00:36:10,399 Speaker 1: gotten the COVID shots, Because remember, almost everyone has had 573 00:36:10,400 --> 00:36:14,359 Speaker 1: COVID at some point at this time. We need a 574 00:36:14,520 --> 00:36:18,040 Speaker 1: study of people like me who never got the COVID shot, 575 00:36:18,680 --> 00:36:21,759 Speaker 1: and we need to compare it with people who got 576 00:36:21,800 --> 00:36:24,600 Speaker 1: the COVID shot, because almost all of us got COVID 577 00:36:25,040 --> 00:36:28,600 Speaker 1: to see whether the rate of COVID heart attack death 578 00:36:29,280 --> 00:36:32,520 Speaker 1: is higher for people who just got COVID like me, 579 00:36:33,360 --> 00:36:36,000 Speaker 1: or for people who got COVID and also got the 580 00:36:36,080 --> 00:36:40,279 Speaker 1: COVID shots. I think you know what my hypothesis would be. 581 00:36:40,719 --> 00:36:43,480 Speaker 1: I think the COVID shot made people more likely to 582 00:36:43,520 --> 00:36:46,000 Speaker 1: have heart attacks. I could be wrong. Why can't we 583 00:36:46,040 --> 00:36:49,480 Speaker 1: get that study and note for sure? Josh Hally next Senator, 584 00:36:49,760 --> 00:36:50,400 Speaker 1: keep hanging on a