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 --> 00:00:07,640 Speaker 1: Sexton Show podcast. Welcome back in our number two Clay 3 00:00:07,640 --> 00:00:12,560 Speaker 1: Travis buck Sexton Show Winsday edition. Go subscribe to the podcast. 4 00:00:12,640 --> 00:00:14,320 Speaker 1: You can search out my name Clay Travis, you can 5 00:00:14,360 --> 00:00:16,959 Speaker 1: search out Buck Sexton. You will be well on your 6 00:00:17,120 --> 00:00:20,920 Speaker 1: way to getting hooked up and being able to make 7 00:00:20,960 --> 00:00:23,880 Speaker 1: sure that you never miss a single moment of the 8 00:00:23,920 --> 00:00:26,680 Speaker 1: show for all of twenty twenty three, no matter where 9 00:00:26,720 --> 00:00:29,000 Speaker 1: you are. Okay, Buck, it s as we went to break, 10 00:00:29,800 --> 00:00:32,720 Speaker 1: there's some really good news. And this is where we 11 00:00:32,800 --> 00:00:35,040 Speaker 1: can quote Barack Obama and he's one hundred percent right. 12 00:00:35,120 --> 00:00:39,320 Speaker 1: Elections have consequences, and one of the consequences of Republicans 13 00:00:39,320 --> 00:00:43,000 Speaker 1: winning the House is that the Department of Defense has 14 00:00:43,159 --> 00:00:47,360 Speaker 1: ended their COVID vaccine mandate. This is a big deal. Okay. 15 00:00:47,479 --> 00:00:50,880 Speaker 1: We need to celebrate our wins when we get them. 16 00:00:51,960 --> 00:00:55,720 Speaker 1: No longer requiring anyone to get the COVID shot in 17 00:00:55,840 --> 00:00:59,720 Speaker 1: order to serve for our country is the right decision, 18 00:01:00,080 --> 00:01:03,040 Speaker 1: and it would not have happened if we had not 19 00:01:03,240 --> 00:01:06,679 Speaker 1: won the House. That is a direct intangible result for 20 00:01:06,720 --> 00:01:09,640 Speaker 1: people out there who say, Okay, where are the wins. 21 00:01:10,160 --> 00:01:13,440 Speaker 1: This is a win because Republicans took back the House. 22 00:01:13,760 --> 00:01:17,080 Speaker 1: If Democrats had held onto the house, Buck, this never happens. 23 00:01:17,480 --> 00:01:20,640 Speaker 1: I think Kevin McCarthy and all of his allies, particularly 24 00:01:20,720 --> 00:01:22,640 Speaker 1: Jim Jordan, who I think is going to do a 25 00:01:23,040 --> 00:01:26,440 Speaker 1: incredible job as the chair of the Judiciary Committee and 26 00:01:26,440 --> 00:01:30,240 Speaker 1: also looking into the FBI and conducting all these investigations. 27 00:01:30,280 --> 00:01:32,399 Speaker 1: This is a win that happened as a result of 28 00:01:32,440 --> 00:01:35,399 Speaker 1: the twenty twenty two mid terms. Now, the next step 29 00:01:36,160 --> 00:01:39,920 Speaker 1: needs to be rehiring and there are thousands of them, 30 00:01:40,560 --> 00:01:44,520 Speaker 1: anyone who lost his or her job in the military 31 00:01:44,920 --> 00:01:47,840 Speaker 1: because they refuse to get the COVID shot. That's the 32 00:01:47,880 --> 00:01:50,960 Speaker 1: next step. And then, oh, by the way, I think 33 00:01:51,000 --> 00:01:52,840 Speaker 1: we need to and I've been making this argument for 34 00:01:52,880 --> 00:02:01,680 Speaker 1: a while, end Feiser and madernas COVID vaccine immunity and 35 00:02:01,800 --> 00:02:05,720 Speaker 1: allow either plaintiffs lawyers to sue or force them to 36 00:02:05,800 --> 00:02:09,280 Speaker 1: return all the profits. Because the downside here, here's the negative. 37 00:02:09,680 --> 00:02:12,880 Speaker 1: This COVID SHOT's not working. And I'm reading we had 38 00:02:13,040 --> 00:02:15,919 Speaker 1: we have Alex Barrenson on yesterday or on Monday, Buck, 39 00:02:15,960 --> 00:02:17,720 Speaker 1: I can't remember exactly what day we had him on. 40 00:02:17,840 --> 00:02:19,600 Speaker 1: Encourage you to go listen to him yesterday. We had 41 00:02:19,639 --> 00:02:22,600 Speaker 1: him on in the third hour of the program, and 42 00:02:22,960 --> 00:02:25,680 Speaker 1: he's got a sub stack up right now that he 43 00:02:25,800 --> 00:02:31,160 Speaker 1: just wrote. And the headline is urgent. Seventeen percent of 44 00:02:31,240 --> 00:02:36,960 Speaker 1: teenagers had heart symptoms after their second visor jab. A 45 00:02:37,080 --> 00:02:40,000 Speaker 1: new peer reviewed paper shows. This is the headline that 46 00:02:40,040 --> 00:02:44,280 Speaker 1: Alex Berenson just wrote. This is out of Taiwan, and 47 00:02:44,919 --> 00:02:50,320 Speaker 1: the researchers conducted electro cardiograms, which measured heart rhythms on 48 00:02:50,480 --> 00:02:55,679 Speaker 1: nearly five thousand high schoolers in Taipei City, capital of Taiwan, 49 00:02:56,200 --> 00:03:01,200 Speaker 1: before and after their second visor shot. Most of the 50 00:03:01,240 --> 00:03:05,840 Speaker 1: students an over ninety percent, were mail and again, seventeen 51 00:03:05,960 --> 00:03:10,760 Speaker 1: percent of those students had heart symptoms, including serious heart 52 00:03:10,840 --> 00:03:16,720 Speaker 1: related issues. Again, this is in five thousand students, and 53 00:03:17,600 --> 00:03:21,240 Speaker 1: this has been published in the European Journal of Pediatrics. 54 00:03:24,120 --> 00:03:26,880 Speaker 1: And I want to tie this in with and I'm 55 00:03:26,919 --> 00:03:30,200 Speaker 1: not directly saying that this was the cause, okay, because 56 00:03:30,280 --> 00:03:33,919 Speaker 1: I'm not a doctor, and I'm not sure why this 57 00:03:34,120 --> 00:03:38,160 Speaker 1: exactly happened. But as we said in the first hour, 58 00:03:38,440 --> 00:03:43,200 Speaker 1: it's an awful story. An Air Force cadet, an offensive 59 00:03:43,320 --> 00:03:49,040 Speaker 1: linemen on their football team, collapsed and died walking to 60 00:03:49,160 --> 00:03:55,560 Speaker 1: class on Monday. Certainly Jamar Hamlin a lot of attention 61 00:03:55,920 --> 00:03:59,560 Speaker 1: with what happened to him on the football field. In 62 00:03:59,600 --> 00:04:04,680 Speaker 1: your lives, in your communities, you may well be hearing 63 00:04:04,840 --> 00:04:09,880 Speaker 1: and or seeing of young people having issues. Okay, this 64 00:04:09,960 --> 00:04:13,160 Speaker 1: Air Force cadet Hunter Brown dies at twenty one years old. 65 00:04:14,480 --> 00:04:19,240 Speaker 1: The Air Force Academy, Naval Academy, and the US Military 66 00:04:19,240 --> 00:04:23,200 Speaker 1: Academy West Point, they all required the COVID shot in 67 00:04:23,360 --> 00:04:27,039 Speaker 1: order for kids to go to those schools. Because the 68 00:04:27,080 --> 00:04:32,279 Speaker 1: military required the COVID shot, many universities out there are 69 00:04:32,400 --> 00:04:37,039 Speaker 1: requiring the COVID shot still as this data continues to 70 00:04:37,080 --> 00:04:40,800 Speaker 1: come out, Buck, it is not anti science to be 71 00:04:40,960 --> 00:04:44,840 Speaker 1: asking why in the world are we still mandating the 72 00:04:44,880 --> 00:04:50,880 Speaker 1: COVID shot anywhere for young adults, teenagers, anyone who has 73 00:04:51,040 --> 00:04:56,200 Speaker 1: virtually zero percent chance of getting COVID given the circumstances. 74 00:04:56,240 --> 00:04:59,240 Speaker 1: And this is a real conversation that needs to be had, 75 00:04:59,279 --> 00:05:01,520 Speaker 1: and there may be. Again, I don't want to be 76 00:05:02,760 --> 00:05:06,240 Speaker 1: reacting constantly to anecdotes, which is why I retweeted and 77 00:05:06,240 --> 00:05:09,279 Speaker 1: shared this story out of Taiwan about all of the 78 00:05:09,320 --> 00:05:12,800 Speaker 1: incidents of heart related issues for young men in particular 79 00:05:13,839 --> 00:05:19,360 Speaker 1: this has to be talked about. So in totalitarian societies 80 00:05:20,000 --> 00:05:25,479 Speaker 1: Sovian Union North Korea got on the list, there is 81 00:05:25,520 --> 00:05:30,800 Speaker 1: always a hyper sensitivity about even the most minute criticism 82 00:05:31,000 --> 00:05:36,080 Speaker 1: or the most minute change inofficial policy coming from a 83 00:05:36,200 --> 00:05:38,359 Speaker 1: response of the people. Right, I mean, the people at 84 00:05:38,360 --> 00:05:41,919 Speaker 1: the top. They can say, you know, it's it's you 85 00:05:41,960 --> 00:05:43,839 Speaker 1: know today, it's this tomorrow, it's that they can do 86 00:05:43,839 --> 00:05:46,320 Speaker 1: whatever they want. Of course, totalitarianism, they can say the 87 00:05:46,360 --> 00:05:48,400 Speaker 1: sky is falling, and then they can say, actually, that 88 00:05:48,480 --> 00:05:51,120 Speaker 1: was just a joke. Doesn't matter, although they don't make 89 00:05:51,160 --> 00:05:54,840 Speaker 1: jokes intotalitarian societies, but they make it up as they 90 00:05:54,880 --> 00:05:58,159 Speaker 1: go along, and they never allow for correction. They never 91 00:05:58,240 --> 00:06:04,400 Speaker 1: allow for the people to see a crack in the wall. Right. 92 00:06:05,160 --> 00:06:08,520 Speaker 1: This is with COVID, I think very similar, a very 93 00:06:08,520 --> 00:06:11,480 Speaker 1: similar situation going on right now, the moment that they 94 00:06:11,560 --> 00:06:17,120 Speaker 1: say increasingly, yeah, the side effects are worse than we 95 00:06:17,200 --> 00:06:20,279 Speaker 1: said they were, and yeah, you didn't actually need to 96 00:06:20,279 --> 00:06:23,359 Speaker 1: get this if you were really in any age group. 97 00:06:23,360 --> 00:06:27,120 Speaker 1: But certainly if you weren't a senior and you know, 98 00:06:27,320 --> 00:06:30,640 Speaker 1: barring some exceptional circumstances, you don't have a functioning immune 99 00:06:30,680 --> 00:06:33,440 Speaker 1: system or something. But if you weren't a senior. There 100 00:06:33,520 --> 00:06:35,719 Speaker 1: was no reason. It's not even like, Remember, it's not 101 00:06:35,760 --> 00:06:38,400 Speaker 1: just they offered this shop. They mandated this shop in 102 00:06:38,400 --> 00:06:40,520 Speaker 1: so many different contexts. They made you get it. They 103 00:06:40,560 --> 00:06:43,520 Speaker 1: shut down your life. In New York City, every diversity 104 00:06:43,560 --> 00:06:47,000 Speaker 1: buck requires it. Still basically, Yeah, I just saw a 105 00:06:47,000 --> 00:06:51,159 Speaker 1: friend of mine say that her child can't go to 106 00:06:51,680 --> 00:06:56,160 Speaker 1: summer camp this summer. They're requiring it for summer camp. Yeah, 107 00:06:56,160 --> 00:06:58,479 Speaker 1: this is completely insane. But I do think that a 108 00:06:58,480 --> 00:07:01,719 Speaker 1: lot of this is the people who push this the most, 109 00:07:02,320 --> 00:07:05,080 Speaker 1: just like you know, the commissars in the Soviet Union. 110 00:07:05,920 --> 00:07:08,800 Speaker 1: If they admit that they were wrong on this, then 111 00:07:08,839 --> 00:07:11,760 Speaker 1: people will start to say, what else were you guys 112 00:07:11,800 --> 00:07:16,080 Speaker 1: wrong on? Right? If they admit fallibility all this issue 113 00:07:16,160 --> 00:07:19,480 Speaker 1: of the vaccine, on any issue of the vaccine in 114 00:07:19,520 --> 00:07:23,400 Speaker 1: an honest and forth right way, they know the pendulum 115 00:07:23,440 --> 00:07:26,640 Speaker 1: starts to swing far back in the other direction. So 116 00:07:26,720 --> 00:07:28,920 Speaker 1: their whole game. Now, I think we're seeing this. Whether 117 00:07:28,960 --> 00:07:34,000 Speaker 1: it's people ask the question our athletes now our athletes 118 00:07:34,080 --> 00:07:37,559 Speaker 1: having a higher percentage, Maybe it's only you know, alex 119 00:07:37,680 --> 00:07:41,280 Speaker 1: is talking about access mortality. Well, okay, ten percent access 120 00:07:41,320 --> 00:07:46,000 Speaker 1: mortality doesn't sound like necessarily it's that, you know, earth chattering. Well, 121 00:07:46,040 --> 00:07:48,320 Speaker 1: if you're talking about millions of people, ten percent actually 122 00:07:48,320 --> 00:07:50,760 Speaker 1: really matters, right, millions of deaths, ten percent is a 123 00:07:50,760 --> 00:07:53,400 Speaker 1: big number of people. Are there five percent? Are there 124 00:07:53,400 --> 00:07:58,840 Speaker 1: ten percent? More cardiac issues happening in otherwise healthy you know, 125 00:07:59,320 --> 00:08:03,880 Speaker 1: high high physical capacity individuals athletes in this context, Are 126 00:08:03,880 --> 00:08:06,440 Speaker 1: we ever gonna get an answer that question? At a minimum? 127 00:08:06,640 --> 00:08:09,080 Speaker 1: They want to delay it. They want to keep delaying 128 00:08:09,080 --> 00:08:11,680 Speaker 1: this as long as possible because I think that there 129 00:08:11,760 --> 00:08:13,720 Speaker 1: is a little bit of a quiet terror within the 130 00:08:13,800 --> 00:08:18,400 Speaker 1: system of admitting the truth when people still have a 131 00:08:18,480 --> 00:08:22,360 Speaker 1: relatively fresh memory of the madness that we were subjected to, 132 00:08:22,840 --> 00:08:25,520 Speaker 1: of the viciousness. I mean, you remember this, and so 133 00:08:25,640 --> 00:08:29,000 Speaker 1: do I. Oh there was a Oh this person died 134 00:08:29,040 --> 00:08:32,240 Speaker 1: who didn't get vaccinated. Well, maybe they shouldn't have been 135 00:08:32,280 --> 00:08:35,160 Speaker 1: reckless and put so many other people at risk. This 136 00:08:35,280 --> 00:08:39,280 Speaker 1: was this was evil. I mean Joe Biden, Yes, the 137 00:08:40,600 --> 00:08:44,800 Speaker 1: pandemic of the unvaccinated was an evil thing to say. 138 00:08:44,880 --> 00:08:47,679 Speaker 1: It was wrong. And I just think they're trying to 139 00:08:47,720 --> 00:08:51,760 Speaker 1: delay the reckoning because it's coming, because the numbers don't 140 00:08:51,760 --> 00:08:54,800 Speaker 1: add up for them. Buck. They were saying that if 141 00:08:54,840 --> 00:08:56,760 Speaker 1: you didn't get the COVID shot, you didn't deserve to 142 00:08:56,760 --> 00:08:59,880 Speaker 1: get treatment at the hospital. That was the argument they 143 00:09:00,080 --> 00:09:04,480 Speaker 1: were making. And I think if you start to look 144 00:09:04,480 --> 00:09:09,760 Speaker 1: at this data, these same people who were gleefully celebrating 145 00:09:10,160 --> 00:09:13,600 Speaker 1: when unvaccinated people would die. Remember how the stories would 146 00:09:13,600 --> 00:09:17,080 Speaker 1: go viral. Oh, this thirty five year old suddenly got COVID, 147 00:09:17,120 --> 00:09:19,480 Speaker 1: probably had a lot of underlying conditions, but it would 148 00:09:19,480 --> 00:09:24,079 Speaker 1: go viral the story. Remember they also said buck early on, 149 00:09:24,640 --> 00:09:27,200 Speaker 1: if we can save just one life, it's worth it. 150 00:09:27,320 --> 00:09:29,360 Speaker 1: Remember how many people would say that, like we're locking 151 00:09:29,360 --> 00:09:31,440 Speaker 1: down the entire country, Well, if we can save just 152 00:09:31,480 --> 00:09:33,440 Speaker 1: one life, it's worth it. And then the people like 153 00:09:33,440 --> 00:09:34,960 Speaker 1: you were I would point back and say, hey, you know, 154 00:09:35,360 --> 00:09:37,760 Speaker 1: if we had a speed limit of five miles an 155 00:09:37,760 --> 00:09:40,440 Speaker 1: hour on the interstate, no one would ever die in 156 00:09:40,440 --> 00:09:43,880 Speaker 1: a car accident, right, I mean, the the if it 157 00:09:44,000 --> 00:09:50,040 Speaker 1: saves just one life, it's worth it mentality is monstrous. Actually, 158 00:09:50,800 --> 00:09:54,360 Speaker 1: when you apply this as a public policy matter, think 159 00:09:54,360 --> 00:09:57,839 Speaker 1: about how many people are you know, how many people 160 00:09:57,840 --> 00:10:02,920 Speaker 1: are attacked, shot, raped, robbed, whatever? At night? Do people 161 00:10:03,000 --> 00:10:06,199 Speaker 1: really need to unless you have you know, an essential job, 162 00:10:06,240 --> 00:10:09,000 Speaker 1: you know, keeping the electricity grid on or whatever, do 163 00:10:09,040 --> 00:10:11,680 Speaker 1: people need to leave their homes at night? How many 164 00:10:11,760 --> 00:10:15,640 Speaker 1: lives could be saved if we just had effectively a 165 00:10:16,000 --> 00:10:19,679 Speaker 1: declaration of martial law after seven pm and you are 166 00:10:19,720 --> 00:10:23,160 Speaker 1: at stay at home orders, you'd save a lot of lives. 167 00:10:23,480 --> 00:10:26,200 Speaker 1: And this would have to be enforced rigorously by you know, 168 00:10:26,480 --> 00:10:29,880 Speaker 1: armed government agents in the streets. But Clay, think of 169 00:10:29,920 --> 00:10:32,640 Speaker 1: all the lives saved. I mean, this was the argument 170 00:10:32,679 --> 00:10:36,200 Speaker 1: they were making in effect, and people went along with this. 171 00:10:36,240 --> 00:10:38,840 Speaker 1: People who think they're smart went along with this. And 172 00:10:38,960 --> 00:10:42,680 Speaker 1: what's crazy about that, Buck, is those same people who 173 00:10:42,720 --> 00:10:46,120 Speaker 1: were arguing if we could save just one life are 174 00:10:46,240 --> 00:10:51,040 Speaker 1: now saying you can't ask any questions about the efficacy 175 00:10:51,120 --> 00:10:54,040 Speaker 1: of the COVID shot at all. Well wait a minute. 176 00:10:55,120 --> 00:10:58,439 Speaker 1: If we are finding out which the data is reflecting, 177 00:10:58,840 --> 00:11:04,040 Speaker 1: that young health men in particular do not need to 178 00:11:04,160 --> 00:11:08,400 Speaker 1: come anywhere near the COVID shot, wouldn't you want to 179 00:11:08,600 --> 00:11:13,760 Speaker 1: limit their exposure to risk? But they won't even allow 180 00:11:13,880 --> 00:11:17,839 Speaker 1: that conversation to happen, Buck, because you're right. If they 181 00:11:17,880 --> 00:11:22,520 Speaker 1: admit one flaw, then all of a sudden, that entire 182 00:11:23,360 --> 00:11:26,480 Speaker 1: it's like pulling a thread right and unrattling the entire 183 00:11:26,760 --> 00:11:28,800 Speaker 1: a lie that they've been told. This is why I'm 184 00:11:28,880 --> 00:11:33,319 Speaker 1: totally unsurprised about all the double speak and the prevarication 185 00:11:33,960 --> 00:11:40,160 Speaker 1: and the dissembling and the lies from Faucci, because the moment, well, 186 00:11:40,160 --> 00:11:43,640 Speaker 1: how is it possible that after two years plus of 187 00:11:43,679 --> 00:11:49,240 Speaker 1: being the single most you know, authoritative and authoritarian voice 188 00:11:49,280 --> 00:11:52,120 Speaker 1: on COVID, he has not yet had a single time 189 00:11:52,120 --> 00:11:56,360 Speaker 1: where he's like, I am sorry, I got this wrong. Yeah, 190 00:11:56,400 --> 00:12:00,520 Speaker 1: it's because he knows that the entire Faucci I system 191 00:12:00,880 --> 00:12:05,400 Speaker 1: rests upon this false belief in the infallibility of the 192 00:12:05,480 --> 00:12:09,600 Speaker 1: expertise of the system which he was a representative of. 193 00:12:09,880 --> 00:12:13,840 Speaker 1: If one part of that system is shown to be faulty, 194 00:12:14,120 --> 00:12:16,480 Speaker 1: it opens up the rest of it to questioning. This 195 00:12:16,559 --> 00:12:22,600 Speaker 1: is also why it's very similar to an extreme religious belief. 196 00:12:22,640 --> 00:12:25,280 Speaker 1: You cannot question any aspect of it. Right. There are 197 00:12:25,320 --> 00:12:28,080 Speaker 1: some cults where if you say, hold on, I can't 198 00:12:28,120 --> 00:12:30,360 Speaker 1: talk to any member of my family. I can't talk 199 00:12:30,400 --> 00:12:32,520 Speaker 1: to any of my loved ones anymore. To be a 200 00:12:32,559 --> 00:12:35,679 Speaker 1: part of your group, that's uh you're in or your route. 201 00:12:35,720 --> 00:12:37,880 Speaker 1: You know, you either you either go along with everything 202 00:12:38,480 --> 00:12:41,080 Speaker 1: or you're not a part of this anymore. That's what 203 00:12:41,280 --> 00:12:45,120 Speaker 1: the science was as as constituted by Fauci and Burkes 204 00:12:45,200 --> 00:12:48,480 Speaker 1: and the Democrat apparatus. And that's why, even to this 205 00:12:48,600 --> 00:12:51,240 Speaker 1: day we're sitting here. Whatever happened. We had all these 206 00:12:51,320 --> 00:12:53,600 Speaker 1: numbers all the time about what percentage of people were 207 00:12:53,640 --> 00:12:56,920 Speaker 1: dying from COVID who were both gone, it's all gone. 208 00:12:57,000 --> 00:13:02,080 Speaker 1: What happened, Clay. Yeah, So we're going to continue to 209 00:13:02,080 --> 00:13:04,840 Speaker 1: ask these questions as we have been doing for years. 210 00:13:05,160 --> 00:13:08,600 Speaker 1: And I think we're going to be right again as 211 00:13:08,640 --> 00:13:11,000 Speaker 1: we have been for years. I don't know. I don't 212 00:13:11,000 --> 00:13:14,600 Speaker 1: know if there's anything in my in my media career 213 00:13:14,679 --> 00:13:18,000 Speaker 1: so far that I am more proud of in terms 214 00:13:18,080 --> 00:13:20,160 Speaker 1: of rightness and earliness. And I know you feel the 215 00:13:20,200 --> 00:13:21,800 Speaker 1: same way. And this is we always remind you this. 216 00:13:21,800 --> 00:13:23,640 Speaker 1: Our Clay and I actually met was. I was like, 217 00:13:23,679 --> 00:13:26,160 Speaker 1: this is crazy, and I was like, there's a sports guy. 218 00:13:26,200 --> 00:13:28,840 Speaker 1: He thinks this is crazy too. We should talk on 219 00:13:28,880 --> 00:13:33,360 Speaker 1: the COVID stuff. There is nothing substantive that I feel like, Wow, 220 00:13:33,400 --> 00:13:35,199 Speaker 1: I missed that by a mile. In fact, the only 221 00:13:35,240 --> 00:13:40,160 Speaker 1: thing that I am I am hard on myself about 222 00:13:40,720 --> 00:13:42,800 Speaker 1: is I did think that the vaccines would be at 223 00:13:42,840 --> 00:13:45,720 Speaker 1: least as effective as like a flu shot for older 224 00:13:45,720 --> 00:13:48,120 Speaker 1: people which are usually you know third. I mean that 225 00:13:48,200 --> 00:13:50,520 Speaker 1: was what the data initially reflected. I don't think there's 226 00:13:50,520 --> 00:13:52,120 Speaker 1: anything wrong with that. And the one thing I wish 227 00:13:52,120 --> 00:13:54,760 Speaker 1: I had not done is I wish I hadn't in 228 00:13:54,880 --> 00:13:58,120 Speaker 1: February and March of twenty trusted some of the numbers 229 00:13:58,120 --> 00:14:01,640 Speaker 1: coming out of China, because even to this day, we 230 00:14:01,679 --> 00:14:04,200 Speaker 1: have no idea what's actually taking place in China, and 231 00:14:04,320 --> 00:14:07,199 Speaker 1: trying to make policy based on any of the numbers 232 00:14:07,280 --> 00:14:09,400 Speaker 1: and any of the data that has come out of 233 00:14:09,480 --> 00:14:12,360 Speaker 1: China was a fool's Errand I wish I had not 234 00:14:12,640 --> 00:14:14,840 Speaker 1: looked at that data in February March and tried to 235 00:14:14,880 --> 00:14:18,280 Speaker 1: extrapolated to the United States. Otherwise I wouldn't change a 236 00:14:18,360 --> 00:14:20,920 Speaker 1: single thing that I've said about COVID over the past 237 00:14:20,920 --> 00:14:24,680 Speaker 1: couple of years. Let's talk about saving lives for a second, 238 00:14:24,720 --> 00:14:27,320 Speaker 1: my friends, last year, as a result of your generosity, 239 00:14:27,440 --> 00:14:31,800 Speaker 1: you help the Preborn Pregnancy clinics save thousands of babies lives. 240 00:14:32,120 --> 00:14:36,680 Speaker 1: Preborn is a nonprofit organization with clinics nationwide. Each preborn 241 00:14:36,680 --> 00:14:39,920 Speaker 1: clinic welcomes hundreds of expectant mothers and provides them with 242 00:14:39,960 --> 00:14:43,160 Speaker 1: free ultrasounds and plenty of support and care. It's that 243 00:14:43,280 --> 00:14:46,160 Speaker 1: first introduction to their child through that ultrasound that so 244 00:14:46,320 --> 00:14:50,960 Speaker 1: very often determines a mother's decision to choose life over abortion. 245 00:14:51,760 --> 00:14:54,360 Speaker 1: They've been dedicated to this mission for seventeen years and 246 00:14:54,360 --> 00:14:58,320 Speaker 1: have rescued over two hundred thousand babies from abortion. Preborn 247 00:14:58,400 --> 00:15:01,440 Speaker 1: receives no government funding, so they're clinics are completely dependent 248 00:15:01,520 --> 00:15:04,400 Speaker 1: on us, you and me, the pro life community. So 249 00:15:04,480 --> 00:15:07,960 Speaker 1: please to donate, dial pound two five zero from your phone, 250 00:15:07,960 --> 00:15:11,040 Speaker 1: say the keyword baby. One hundred percent of your donation 251 00:15:11,280 --> 00:15:14,160 Speaker 1: will go to saving babies, and it is tax deductible. 252 00:15:14,600 --> 00:15:17,040 Speaker 1: One ultrasound is just twenty eight dollars. That's less than 253 00:15:17,080 --> 00:15:21,240 Speaker 1: most people spending on dinner. Get involved today, save lives. 254 00:15:21,680 --> 00:15:24,000 Speaker 1: Dial pound two five zero from your phone, say the 255 00:15:24,080 --> 00:15:28,120 Speaker 1: keyword baby, or donate securely at preborn dot com slash buck. 256 00:15:28,680 --> 00:15:32,600 Speaker 1: Every day, Preborn clinics save one hundred and fifty babies lives. 257 00:15:32,960 --> 00:15:36,440 Speaker 1: Be a part of that critical mission. Go to preborn 258 00:15:36,520 --> 00:15:41,800 Speaker 1: dot com slash buck sponsored by Preborn Clay Travis at 259 00:15:41,960 --> 00:15:46,480 Speaker 1: Buck Sexton Making sense in an insane world. Electric frankly 260 00:15:46,720 --> 00:15:49,440 Speaker 1: is so superior just in terms of it's much more 261 00:15:49,440 --> 00:15:52,400 Speaker 1: efficient it's safer, the new induction stows are safer and 262 00:15:52,440 --> 00:15:54,360 Speaker 1: all of that. And this has created sort of gas 263 00:15:54,360 --> 00:15:56,800 Speaker 1: wars in different parts of the country. They've banned in 264 00:15:56,880 --> 00:15:59,000 Speaker 1: a new construction in New York City at West from 265 00:15:59,040 --> 00:16:02,239 Speaker 1: California Washington State. But a lot of states have preemptibly 266 00:16:02,480 --> 00:16:05,920 Speaker 1: banned gas bands, and you can imagine they're usually red states. 267 00:16:05,960 --> 00:16:08,600 Speaker 1: In Texas leading the way. They want to stop this 268 00:16:08,880 --> 00:16:11,640 Speaker 1: because it's an existential threat to that business. But yeah, 269 00:16:11,680 --> 00:16:13,920 Speaker 1: it's you know, the science is showing us that having 270 00:16:14,120 --> 00:16:17,400 Speaker 1: a gas stove in a small apartment, especially with bad ventilation, 271 00:16:17,400 --> 00:16:19,400 Speaker 1: it's like having a car idling there. And if you 272 00:16:19,440 --> 00:16:23,560 Speaker 1: have young kids, it can affect cognitive abilities and as 273 00:16:23,560 --> 00:16:28,480 Speaker 1: well as asthma. Oh apparently you're gas stove. He's super dangerous. 274 00:16:28,520 --> 00:16:31,280 Speaker 1: Everyone's known this all along and you have to just 275 00:16:31,280 --> 00:16:34,680 Speaker 1: give up your gas stove eat ease. Remarkable. I mean, 276 00:16:34,720 --> 00:16:37,640 Speaker 1: say what you will about the media that was CNN 277 00:16:37,720 --> 00:16:41,480 Speaker 1: and we do. But their ability to just go along 278 00:16:41,760 --> 00:16:44,920 Speaker 1: like actors reading a script. I mean, of course, gas stoves. 279 00:16:45,240 --> 00:16:48,840 Speaker 1: You realize gas stoves basically gonna make your kids incapable 280 00:16:48,880 --> 00:16:51,720 Speaker 1: of getting through school. Okay, because of your gas stove. 281 00:16:52,000 --> 00:16:55,160 Speaker 1: So just do what the Biden regime wants. Give up 282 00:16:55,200 --> 00:16:58,280 Speaker 1: your gas stove going forward electric only. By the way, 283 00:16:58,880 --> 00:17:01,800 Speaker 1: not that I'm some great chef. Gas stove is way better, 284 00:17:02,080 --> 00:17:04,359 Speaker 1: way better than electric. I'm just telling folks the truth. 285 00:17:04,760 --> 00:17:08,480 Speaker 1: I'll I will completely defer to people who can actually cook. 286 00:17:08,600 --> 00:17:11,560 Speaker 1: I can't cook anything, so I know nothing when it 287 00:17:11,600 --> 00:17:13,480 Speaker 1: comes to many things, probably, but what certainly when it 288 00:17:13,480 --> 00:17:17,159 Speaker 1: comes to gas stoves. But you're right, it is amazing 289 00:17:17,280 --> 00:17:21,800 Speaker 1: how they basically create a talking point which is not 290 00:17:21,880 --> 00:17:26,040 Speaker 1: in any way discussed at all, and then they try 291 00:17:26,080 --> 00:17:28,240 Speaker 1: to treat it like, oh, it's been common knowledge for 292 00:17:28,280 --> 00:17:30,960 Speaker 1: a long time. This has been a massive issue forever, 293 00:17:31,600 --> 00:17:33,840 Speaker 1: and you're like, wait a minute, where did this come from? 294 00:17:33,880 --> 00:17:36,800 Speaker 1: Like the way AOC, there were some good deep dives 295 00:17:36,840 --> 00:17:40,360 Speaker 1: on AOC. She's never mentioned gas stoves before, never has 296 00:17:40,440 --> 00:17:43,439 Speaker 1: like tweeted about it, never talked about it. Suddenly like 297 00:17:43,480 --> 00:17:47,480 Speaker 1: she's all in on Charles cook it at n RO 298 00:17:48,040 --> 00:17:51,960 Speaker 1: pull this together. He's like, all of a sudden, aocs all, yeah, 299 00:17:51,960 --> 00:17:55,760 Speaker 1: I've been telling you about the gas stoves forever. First 300 00:17:55,800 --> 00:17:59,920 Speaker 1: time she's mentioned it publicly that we know of, literally ever. Yeah, 301 00:18:00,480 --> 00:18:02,440 Speaker 1: just came out of nowhere. They get the talking points 302 00:18:02,480 --> 00:18:05,240 Speaker 1: and they run. They're very disappoined in that. Mike Glendell, 303 00:18:05,280 --> 00:18:07,040 Speaker 1: he's the inventor of My Pillow, has a passion to 304 00:18:07,080 --> 00:18:09,960 Speaker 1: help everybody get the best sleep of their life. And 305 00:18:10,200 --> 00:18:14,080 Speaker 1: my goodness, he has got every product you can imagine covered, 306 00:18:14,119 --> 00:18:16,200 Speaker 1: including bed sheets. I slept on him last night. The 307 00:18:16,240 --> 00:18:18,800 Speaker 1: Giza Dream sheets made from the one ninety eight when 308 00:18:18,800 --> 00:18:20,840 Speaker 1: you use our names as the promo code, Clay and 309 00:18:20,960 --> 00:18:25,080 Speaker 1: Buck sheets have a ten year warranty, sixty day money 310 00:18:25,080 --> 00:18:28,080 Speaker 1: back guarantee. They're on all the beds in my house, 311 00:18:28,480 --> 00:18:31,040 Speaker 1: also on all the beds in Buck's house. We love them. 312 00:18:31,080 --> 00:18:34,240 Speaker 1: You will, too, two full months to sleep on these 313 00:18:34,280 --> 00:18:37,040 Speaker 1: new sheets before you have to make a final decision 314 00:18:37,080 --> 00:18:39,520 Speaker 1: about how great they feel. You can get hooked up. 315 00:18:39,520 --> 00:18:40,960 Speaker 1: All you have to do is go to my pillow 316 00:18:41,000 --> 00:18:44,399 Speaker 1: dot com, click on the radio listeners specials. Get the 317 00:18:44,440 --> 00:18:47,280 Speaker 1: flash sail on the Giza dream Sheets. Use our names 318 00:18:47,280 --> 00:18:49,439 Speaker 1: and the promo code Clay and Buck. You can also 319 00:18:49,520 --> 00:18:53,000 Speaker 1: call eight hundred seven nine two thirty two sixty nine 320 00:18:54,040 --> 00:18:57,760 Speaker 1: on the front Lines of Truth. Welcome back to Clay 321 00:18:57,800 --> 00:19:00,760 Speaker 1: and Buck. We want to talk to you about a 322 00:19:00,880 --> 00:19:05,120 Speaker 1: pretty amazing article here by David's Why. He's a journalist 323 00:19:05,119 --> 00:19:07,480 Speaker 1: with The Atlantic, the Free Press, and New York Magazine 324 00:19:07,880 --> 00:19:12,520 Speaker 1: who got his latest up at Clay and Buck dot com. 325 00:19:12,560 --> 00:19:17,760 Speaker 1: His latest article there, which says why spending time with 326 00:19:17,840 --> 00:19:20,920 Speaker 1: kids might actually help protect you from COVID. That was 327 00:19:20,960 --> 00:19:23,639 Speaker 1: just from a few weeks ago. There's some really fascinating 328 00:19:23,640 --> 00:19:27,399 Speaker 1: findings in here, David. We appreciate, We appreciate you coming on. 329 00:19:27,480 --> 00:19:30,080 Speaker 1: I'm not sure that many folks in the New York 330 00:19:30,119 --> 00:19:35,880 Speaker 1: magazine world listening to Clay and Buck, but they should be. Well, 331 00:19:36,080 --> 00:19:38,200 Speaker 1: it's totally's good to talk with you guys. Glad to 332 00:19:38,280 --> 00:19:40,880 Speaker 1: its glad to come on. We appreciate it. So so 333 00:19:40,960 --> 00:19:43,680 Speaker 1: here I wanted to get to there's a part of 334 00:19:44,040 --> 00:19:46,120 Speaker 1: your piece and I was just talking to Clay about 335 00:19:46,160 --> 00:19:50,240 Speaker 1: it in our commercial break that I just find fascinating 336 00:19:50,760 --> 00:19:53,240 Speaker 1: in which you're getting into a lot of studies and 337 00:19:53,400 --> 00:19:54,920 Speaker 1: I don't want to. You know, you're you're the guy 338 00:19:54,920 --> 00:19:56,680 Speaker 1: who wrote it, and you're the expert on the data 339 00:19:56,720 --> 00:19:59,600 Speaker 1: you're citing. But it seems like there is a suggestion 340 00:19:59,680 --> 00:20:02,280 Speaker 1: here that some of us were making early on in 341 00:20:02,280 --> 00:20:05,200 Speaker 1: the lockdowns, and I mean very early like twenty twenty 342 00:20:05,480 --> 00:20:13,320 Speaker 1: Spring that locking people away and social distancing by changing 343 00:20:13,359 --> 00:20:17,679 Speaker 1: our normal human interactions, we change the exposure at a 344 00:20:17,760 --> 00:20:22,560 Speaker 1: mass level that our immune systems had to coronaviruses that 345 00:20:22,640 --> 00:20:26,639 Speaker 1: are common colds, and that that then may have had 346 00:20:26,680 --> 00:20:31,600 Speaker 1: a negative impact on how people's immune systems handled actual 347 00:20:31,800 --> 00:20:36,640 Speaker 1: COVID the coronavirus nineteen am I am I broad strokes 348 00:20:36,680 --> 00:20:38,760 Speaker 1: correct on that, and can you take us deeper into it? 349 00:20:40,440 --> 00:20:44,320 Speaker 1: Though you were very prescient, you are correct what you 350 00:20:44,440 --> 00:20:47,439 Speaker 1: just described. And yeah. I wrote this piece for New 351 00:20:47,520 --> 00:20:52,240 Speaker 1: York Magazine and on two different studies, and what I 352 00:20:52,280 --> 00:20:56,760 Speaker 1: thought was interesting is that they both sort of complimented 353 00:20:56,800 --> 00:20:59,160 Speaker 1: each other. One of the studies was what we would 354 00:20:59,160 --> 00:21:02,879 Speaker 1: call an epidemological study, where they looked at the prevalence 355 00:21:03,359 --> 00:21:07,560 Speaker 1: of a disease, in this instance, COVID amongst a population, 356 00:21:08,160 --> 00:21:12,080 Speaker 1: and they found that people who lived with or had 357 00:21:12,200 --> 00:21:17,879 Speaker 1: high exposure to young children had a dramatically lower incidence 358 00:21:18,040 --> 00:21:22,000 Speaker 1: of severe COVID than similarly matched people. So it's not 359 00:21:22,040 --> 00:21:24,720 Speaker 1: like they just took young parents and said, oh, they have, 360 00:21:25,000 --> 00:21:27,439 Speaker 1: you know, less severe COVID than old people who live alone. No, 361 00:21:27,520 --> 00:21:31,679 Speaker 1: they matched it for BMI, for diabetes for you know age, 362 00:21:31,720 --> 00:21:35,919 Speaker 1: they matched them and nevertheless, all things being equal, people 363 00:21:36,040 --> 00:21:41,440 Speaker 1: with exposure to young children had a significantly lower incidence 364 00:21:41,760 --> 00:21:45,080 Speaker 1: of severe COVID than the same type of person with 365 00:21:45,160 --> 00:21:47,840 Speaker 1: all the same you know, medical history whatever, who didn't 366 00:21:47,840 --> 00:21:50,680 Speaker 1: have that exposure. And the second study that I wrote 367 00:21:50,720 --> 00:21:55,320 Speaker 1: about was looked compliments it well, is a biological study 368 00:21:55,359 --> 00:21:57,600 Speaker 1: where they didn't look at the incidence of disease in 369 00:21:57,640 --> 00:22:02,080 Speaker 1: their large population. Instead, they've looked at within the VA system. 370 00:22:02,400 --> 00:22:06,359 Speaker 1: People who had tested positive for two of the four 371 00:22:06,760 --> 00:22:11,159 Speaker 1: common cold coronaviruses that are really circulating around had a 372 00:22:11,280 --> 00:22:16,639 Speaker 1: lower incidence of testing positive for stars COVIE two, you know, 373 00:22:17,040 --> 00:22:20,239 Speaker 1: the virus that causes COVID. So when you look at 374 00:22:20,280 --> 00:22:24,560 Speaker 1: these two studies together, it paints a very very persuasive 375 00:22:24,600 --> 00:22:29,760 Speaker 1: picture that being exposed to kids in particular and their 376 00:22:29,840 --> 00:22:34,440 Speaker 1: common colds, indeed, as you apparently knew way back when, 377 00:22:35,560 --> 00:22:39,439 Speaker 1: is protective against severe COVID. And what I mentioned in 378 00:22:39,480 --> 00:22:44,000 Speaker 1: the article very gently is, you know, this does call 379 00:22:44,080 --> 00:22:47,760 Speaker 1: into question a lot, and it turns out the people 380 00:22:47,800 --> 00:22:52,280 Speaker 1: with exposure to kids, we're less likely to be severely 381 00:22:52,320 --> 00:22:55,840 Speaker 1: ill from COVID. Okay, I want to build on this, David, 382 00:22:55,880 --> 00:22:57,760 Speaker 1: and you've done a lot of tremendous work looking at 383 00:22:57,800 --> 00:23:00,919 Speaker 1: data and writing about it, even if sometimes it may 384 00:23:01,040 --> 00:23:03,640 Speaker 1: upset I bet some of the people who are regular 385 00:23:03,720 --> 00:23:07,200 Speaker 1: readers of your product, and I'm actually going to ask 386 00:23:07,200 --> 00:23:09,679 Speaker 1: another question about that a little bit later. But the 387 00:23:09,760 --> 00:23:15,080 Speaker 1: big takeaway I had here was we told grandparents in particular. 388 00:23:15,440 --> 00:23:18,680 Speaker 1: These are people who are in their sixties, seventies, maybe eighties, 389 00:23:18,960 --> 00:23:21,520 Speaker 1: who have a limited amount of time that they could 390 00:23:21,560 --> 00:23:25,760 Speaker 1: spend with their grandkids that the absolute safest thing they 391 00:23:25,760 --> 00:23:29,080 Speaker 1: should do was stay as far from their grandkids as 392 00:23:29,119 --> 00:23:34,360 Speaker 1: they possibly could. Many people listened and isolated themselves from 393 00:23:34,440 --> 00:23:39,800 Speaker 1: their grandkids for years. Some people are still crazily doing this, 394 00:23:40,600 --> 00:23:44,040 Speaker 1: and in reality that was actually worse for their health. 395 00:23:44,680 --> 00:23:49,600 Speaker 1: That's an unforgivable sin to me, because one of the 396 00:23:49,680 --> 00:23:52,879 Speaker 1: great things in life is being close. I'm told I 397 00:23:52,920 --> 00:23:55,520 Speaker 1: hope to get there one day to your grandkids and 398 00:23:55,640 --> 00:23:59,560 Speaker 1: being able to experience them. And when you're in your sixties, seventies, 399 00:23:59,560 --> 00:24:02,920 Speaker 1: and eighties, you don't have that many years left. So 400 00:24:02,960 --> 00:24:05,960 Speaker 1: some people have given away years of their life and 401 00:24:06,080 --> 00:24:11,679 Speaker 1: family experiences for something that actually was harmful to their health. 402 00:24:11,880 --> 00:24:15,400 Speaker 1: The exact opposite of what our public health apparatus told them. 403 00:24:15,840 --> 00:24:18,640 Speaker 1: I'm summing that up for everybody out there listening. This 404 00:24:18,720 --> 00:24:24,120 Speaker 1: is what those studies would say. How just infuriating is that? 405 00:24:26,040 --> 00:24:28,240 Speaker 1: We mean? Yeah, I mean I have a lot of 406 00:24:28,240 --> 00:24:31,000 Speaker 1: thoughts on that. I will add this qualifier, which is 407 00:24:31,320 --> 00:24:35,080 Speaker 1: that if you were an old person or someone particularly 408 00:24:35,160 --> 00:24:39,200 Speaker 1: vulnerable to you know, becoming very ill from COVID, if 409 00:24:39,240 --> 00:24:42,960 Speaker 1: those elderly people you know, in their eighties managed to 410 00:24:43,000 --> 00:24:47,240 Speaker 1: isolate themselves from everyone, not just little kids, but from 411 00:24:47,280 --> 00:24:51,280 Speaker 1: everyone and did not get COVID until they were vaccinated, 412 00:24:51,760 --> 00:24:54,760 Speaker 1: then you know, at a population level, they were better off. 413 00:24:55,040 --> 00:25:01,000 Speaker 1: So it was not entirely unwise or unwarranted. Was reasonable 414 00:25:01,480 --> 00:25:05,840 Speaker 1: for elderly people to isolate themselves if and this is 415 00:25:05,880 --> 00:25:10,119 Speaker 1: a giant if, if it was isolation from everyone and 416 00:25:10,160 --> 00:25:13,000 Speaker 1: they were able to hold out with these sort of 417 00:25:13,080 --> 00:25:15,040 Speaker 1: you know, basically you had to become a hermit and 418 00:25:15,119 --> 00:25:18,320 Speaker 1: had that protection. What's that? Basically you had to become 419 00:25:18,359 --> 00:25:21,200 Speaker 1: a hermit if you were going to get any benefit 420 00:25:21,320 --> 00:25:24,560 Speaker 1: at all. But also this doesn't David's already cut you off. 421 00:25:24,560 --> 00:25:27,480 Speaker 1: And also this doesn't analyze mental health, which I would 422 00:25:27,480 --> 00:25:31,359 Speaker 1: imagine for elderly people who often get isolated, became really 423 00:25:31,400 --> 00:25:35,240 Speaker 1: bad I would imagine for them as well. I think 424 00:25:35,280 --> 00:25:37,600 Speaker 1: a lot of what the Evan shows, however, though, is 425 00:25:37,640 --> 00:25:40,359 Speaker 1: that that didn't happen a lot of the narrative, at 426 00:25:40,400 --> 00:25:42,880 Speaker 1: least as I perceive it as someone who's been studying 427 00:25:42,880 --> 00:25:47,440 Speaker 1: and writing about this for almost three years, is that 428 00:25:47,440 --> 00:25:51,280 Speaker 1: that older people and adults in general were in many 429 00:25:51,320 --> 00:25:54,920 Speaker 1: cases living their lives normally or at least exposing themselves 430 00:25:54,960 --> 00:25:58,520 Speaker 1: to all sorts of different people. But there was this bizarre, 431 00:25:59,160 --> 00:26:03,800 Speaker 1: if if I can this word, almost fetishization of children 432 00:26:04,080 --> 00:26:07,560 Speaker 1: as the dangerous midal vectors. So if someone did that, 433 00:26:07,720 --> 00:26:10,760 Speaker 1: if you had an elderly person who was still going 434 00:26:10,800 --> 00:26:13,119 Speaker 1: to their weekly bridge game or you know, going to 435 00:26:13,160 --> 00:26:16,760 Speaker 1: the supermarket and all these other stuff, but was particularly 436 00:26:16,800 --> 00:26:21,840 Speaker 1: afraid of their grandchildren, the evidence shows that that was woke. Well, 437 00:26:21,880 --> 00:26:25,240 Speaker 1: you know, David, yeah, David yeah. No. I just want 438 00:26:25,280 --> 00:26:27,359 Speaker 1: to jump in because because the one thing that I 439 00:26:27,359 --> 00:26:29,840 Speaker 1: an argument that I've been making now for almost three years, 440 00:26:30,080 --> 00:26:33,119 Speaker 1: is that we never actually did a lockdown in this country. 441 00:26:33,119 --> 00:26:36,200 Speaker 1: That they're that a big portion of people were still 442 00:26:36,240 --> 00:26:38,920 Speaker 1: going to jobs, you know, the critical jobs that had 443 00:26:38,920 --> 00:26:42,000 Speaker 1: to be done, and people were still interacting overwhelmed. There 444 00:26:42,000 --> 00:26:45,040 Speaker 1: were very few people who for any length of time 445 00:26:45,440 --> 00:26:48,720 Speaker 1: truly separated themselves from the rest of humanity in a 446 00:26:48,760 --> 00:26:52,280 Speaker 1: way that would really protect them from getting the virus. 447 00:26:52,280 --> 00:26:56,400 Speaker 1: That you're one hundred percent correct. And I also would argue, 448 00:26:56,840 --> 00:26:58,520 Speaker 1: and this is a large part of the book I'm 449 00:26:58,560 --> 00:27:02,000 Speaker 1: working on, which focuses on American schools during the pandemic, 450 00:27:02,040 --> 00:27:04,440 Speaker 1: But the kind of I cast my net wider because 451 00:27:04,440 --> 00:27:07,160 Speaker 1: it's all connected, which is actually it was a very 452 00:27:07,600 --> 00:27:11,880 Speaker 1: classist based policies we had where the people if you're 453 00:27:12,160 --> 00:27:15,800 Speaker 1: a working class person, a cashier, a supermarket, an electrician 454 00:27:16,200 --> 00:27:19,119 Speaker 1: or a plumber who's going into people's homes, they weren't 455 00:27:19,160 --> 00:27:22,360 Speaker 1: able to just sit home and do their work on 456 00:27:22,400 --> 00:27:25,600 Speaker 1: a you know, chromebook in their home office and watch 457 00:27:25,680 --> 00:27:28,920 Speaker 1: Netflix and do whatever. They were still engaged in society. 458 00:27:29,040 --> 00:27:33,040 Speaker 1: So the policies that were advocated for and put in place, 459 00:27:33,520 --> 00:27:36,359 Speaker 1: you know, which to me I find ironic is that, 460 00:27:36,440 --> 00:27:40,640 Speaker 1: you know, liberals tend to be associated with having more 461 00:27:40,760 --> 00:27:44,879 Speaker 1: concern about the working class and lower income people, but 462 00:27:44,960 --> 00:27:51,199 Speaker 1: yet these policies very very specifically harmed those people. Are 463 00:27:51,320 --> 00:27:54,359 Speaker 1: put them in the greatest way of harm. While the 464 00:27:54,600 --> 00:27:57,800 Speaker 1: you know, quote laptop class was able to continue to 465 00:27:57,840 --> 00:28:00,679 Speaker 1: do their you know, white collar work from home and 466 00:28:00,720 --> 00:28:03,680 Speaker 1: they could isolate to whatever degree they felt like they 467 00:28:03,720 --> 00:28:06,719 Speaker 1: needed to based on their anxiety levels. While you know, 468 00:28:07,119 --> 00:28:10,280 Speaker 1: the electrician he was still going into people's homes. So 469 00:28:10,400 --> 00:28:12,480 Speaker 1: I think that's you know, I'm sure you obviously have 470 00:28:12,520 --> 00:28:14,639 Speaker 1: been aware of that as well. So it's it's just 471 00:28:14,680 --> 00:28:18,119 Speaker 1: like one more piece of this broader, you know, mosaic 472 00:28:18,720 --> 00:28:22,119 Speaker 1: of you know, of unintended consequences and sort of you know, 473 00:28:22,200 --> 00:28:25,399 Speaker 1: bad incentives with a lot of these policies. Yeah, and 474 00:28:25,440 --> 00:28:28,600 Speaker 1: in particular, David, you could point to the poorest kids 475 00:28:28,640 --> 00:28:32,600 Speaker 1: among us also bore the greatest cost in terms of 476 00:28:32,640 --> 00:28:36,520 Speaker 1: remote schooling. Right, Like, the poorer you were, the more 477 00:28:36,600 --> 00:28:40,320 Speaker 1: likely you were to remain remote schooled for longer periods 478 00:28:40,320 --> 00:28:43,880 Speaker 1: of time. So the you know, while you're claiming to 479 00:28:43,920 --> 00:28:47,040 Speaker 1: care about equity, h we actually ended up with the 480 00:28:47,160 --> 00:28:52,160 Speaker 1: least equitable outcome imaginable when it comes to educational experience 481 00:28:52,480 --> 00:28:55,800 Speaker 1: throughout COVID as well, which I think is probably the 482 00:28:55,840 --> 00:28:59,720 Speaker 1: biggest sin of all the sins associated with our COVID response. 483 00:29:00,160 --> 00:29:01,959 Speaker 1: Last question for you, data you've been on with us 484 00:29:01,960 --> 00:29:07,320 Speaker 1: several times. You are not traditionally someone who would you 485 00:29:07,600 --> 00:29:11,400 Speaker 1: be on a show like this. Right, your magazine probably 486 00:29:11,480 --> 00:29:15,120 Speaker 1: does not regularly reach a lot of our listeners. I 487 00:29:15,120 --> 00:29:17,600 Speaker 1: think that's fair to say, Right, we're cross pollinating a 488 00:29:17,640 --> 00:29:21,120 Speaker 1: little bit here. What is the response inside of your 489 00:29:21,200 --> 00:29:26,000 Speaker 1: media ecosystem to what I would say are your inconvenient 490 00:29:26,120 --> 00:29:30,360 Speaker 1: truths in reporting on COVID, And what do you think 491 00:29:30,400 --> 00:29:33,760 Speaker 1: about the way, for instance, many people in media are 492 00:29:33,840 --> 00:29:38,920 Speaker 1: responding to what Elon Musk is releasing as information about 493 00:29:38,960 --> 00:29:42,000 Speaker 1: COVID censorship and certainly what we're seeing come out of 494 00:29:42,000 --> 00:29:45,720 Speaker 1: the Biden administration relating to Facebook or Instagram or any 495 00:29:45,760 --> 00:29:49,520 Speaker 1: of these other platforms. Are you surprised by the way 496 00:29:49,520 --> 00:29:51,920 Speaker 1: that that is being received and how has your work 497 00:29:51,960 --> 00:29:58,320 Speaker 1: been received. I'm not surprised at all, unfortunately by the way. 498 00:29:58,400 --> 00:30:00,440 Speaker 1: You know a lot of the twitterfiles report and I 499 00:30:00,520 --> 00:30:02,320 Speaker 1: was you probably saw. I was one of the people 500 00:30:02,360 --> 00:30:05,160 Speaker 1: who was at Sorter headquarters in San Francisco, and I 501 00:30:05,200 --> 00:30:07,680 Speaker 1: released my own I sort of did the first big 502 00:30:08,080 --> 00:30:12,280 Speaker 1: sort of files reporting related to COVID and content moderation 503 00:30:12,320 --> 00:30:15,360 Speaker 1: on the platform. And I think Mike the thread the 504 00:30:15,440 --> 00:30:18,920 Speaker 1: last time I checked at more than sixty million views, 505 00:30:18,960 --> 00:30:23,160 Speaker 1: and to my knowledge, it was never covered by any 506 00:30:23,360 --> 00:30:24,920 Speaker 1: of the sort of you know, how do you think 507 00:30:25,000 --> 00:30:27,280 Speaker 1: that happens? By the way, like who was making that 508 00:30:27,320 --> 00:30:30,240 Speaker 1: calculated decision at the New York Times, at the Washington Post, 509 00:30:30,640 --> 00:30:32,600 Speaker 1: We're not going to cover this and treat it as 510 00:30:32,640 --> 00:30:36,960 Speaker 1: actual news. Yeah, I mean the New York Times and 511 00:30:37,160 --> 00:30:39,920 Speaker 1: you know CNN or wherever else is is made up 512 00:30:39,920 --> 00:30:43,400 Speaker 1: of people who are making individual decisions. I don't think 513 00:30:43,880 --> 00:30:46,000 Speaker 1: and you know, because I know people who work at 514 00:30:46,000 --> 00:30:48,000 Speaker 1: the Times and other places, I don't think it gets 515 00:30:48,000 --> 00:30:50,520 Speaker 1: to the point where there's some sort of like conspiratorial 516 00:30:50,600 --> 00:30:52,880 Speaker 1: meeting or something where they're like, oh, let's not cover this. 517 00:30:52,960 --> 00:30:55,560 Speaker 1: Although there may be conversations about it, I think it's 518 00:30:55,560 --> 00:30:57,640 Speaker 1: on a deeper level, it's just kind of baked in 519 00:30:57,840 --> 00:31:01,360 Speaker 1: where the individual people who becovering this, whether it's the 520 00:31:01,440 --> 00:31:04,640 Speaker 1: reporters or the editors who might assign something like this, 521 00:31:05,240 --> 00:31:08,520 Speaker 1: they all just already have dismissed it as the quote 522 00:31:08,600 --> 00:31:12,080 Speaker 1: unquote nothing burger. And it's like, I don't think it 523 00:31:12,080 --> 00:31:14,440 Speaker 1: even gets to the point where there's like an overt 524 00:31:14,560 --> 00:31:17,480 Speaker 1: sort of you know, directive to not cover this. I 525 00:31:17,480 --> 00:31:20,520 Speaker 1: think it's just kind of like already baked into the 526 00:31:20,600 --> 00:31:24,840 Speaker 1: viewpoint to nixt to my metaphors about how they perceive 527 00:31:24,960 --> 00:31:27,640 Speaker 1: what is so they're so biased they don't even recognize 528 00:31:27,680 --> 00:31:31,600 Speaker 1: there's a bias involved. They just think it's reality or objective. David, 529 00:31:32,040 --> 00:31:34,600 Speaker 1: great work on this Clanbuck dot com. Guys. The piece 530 00:31:34,600 --> 00:31:36,360 Speaker 1: from York Magazine is linked there. If you want to 531 00:31:36,360 --> 00:31:38,960 Speaker 1: go read it right now, we recommend you do. David, 532 00:31:39,120 --> 00:31:40,920 Speaker 1: excited to hear about your book. Please come back and 533 00:31:40,920 --> 00:31:43,840 Speaker 1: talk to us more about all this stuff. Okay, always 534 00:31:43,880 --> 00:31:46,200 Speaker 1: enjoy talking to you guys. Thanks for having me. Thank you. 535 00:31:47,160 --> 00:31:49,840 Speaker 1: Rising inflation of volive stock market wreaking havoc on your 536 00:31:49,840 --> 00:31:54,040 Speaker 1: retirement accounts. With all this economic uncertainty and peril ahead, 537 00:31:54,400 --> 00:31:58,280 Speaker 1: the Phoenix Capital Group suggests you diversify your investments. They're 538 00:31:58,280 --> 00:32:01,239 Speaker 1: introducing investors do high value oil and gas investments here 539 00:32:01,240 --> 00:32:03,720 Speaker 1: in the US with current yields which range from eight 540 00:32:03,760 --> 00:32:07,200 Speaker 1: percent to eleven percent APY paid monthly. 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That's investing 550 00:32:36,000 --> 00:32:39,440 Speaker 1: with phx dot com or call three two three Phoenix 551 00:32:39,520 --> 00:32:45,120 Speaker 1: to connect. Cheeping it Real, keeping it honest. Clay Travis 552 00:32:45,200 --> 00:32:49,440 Speaker 1: and Buck Sexton, Welcome back to Clay and Buck Seed 553 00:32:49,480 --> 00:32:56,080 Speaker 1: Oils portion size sugar content. Clay and I, you know 554 00:32:56,320 --> 00:32:58,600 Speaker 1: we're both talking here. We're guys. As much as I 555 00:32:58,680 --> 00:33:02,600 Speaker 1: make fun of Clay for being the the the senior, 556 00:33:02,600 --> 00:33:04,880 Speaker 1: the elder of this show, we're just within a few 557 00:33:04,920 --> 00:33:07,440 Speaker 1: years of each other. Age wise. We're at that age 558 00:33:07,440 --> 00:33:09,800 Speaker 1: where your metabolism starts to slow down a little bit 559 00:33:10,040 --> 00:33:12,360 Speaker 1: and you gotta be pay a little more attention unless 560 00:33:12,360 --> 00:33:15,400 Speaker 1: you want to start really going with the uh you know, 561 00:33:15,520 --> 00:33:19,640 Speaker 1: the like the bigger flowing sort of the flowey shirt. 562 00:33:19,680 --> 00:33:21,640 Speaker 1: You know what I mean. You can go flowy shirt, 563 00:33:22,280 --> 00:33:25,560 Speaker 1: and whether it's Hawaiian style or sort of more of 564 00:33:25,320 --> 00:33:28,000 Speaker 1: a of a of a poncho kind of vibe, or 565 00:33:28,040 --> 00:33:32,880 Speaker 1: just you know, the oversized standard western tucking shirt. Anyway, 566 00:33:33,160 --> 00:33:36,480 Speaker 1: you can go that route, right, um, start to become 567 00:33:36,480 --> 00:33:41,600 Speaker 1: a fan of robes or kimonos perhaps or else. You know, 568 00:33:41,640 --> 00:33:43,680 Speaker 1: you're gonna have to change your wardrobe a bit because 569 00:33:43,680 --> 00:33:45,680 Speaker 1: if you gained a little, like some pounds around the middle. 570 00:33:45,880 --> 00:33:49,120 Speaker 1: And I was just texting a rather tweeting our our 571 00:33:49,200 --> 00:33:51,320 Speaker 1: friend Zubie who's been on the show before, who's kind 572 00:33:51,320 --> 00:33:54,840 Speaker 1: of a lifestyle fitness expert. He was great during COVID. 573 00:33:54,880 --> 00:33:56,640 Speaker 1: That's how he's another one of those guys like u 574 00:33:56,680 --> 00:34:00,080 Speaker 1: Clay that I came across first because he was a 575 00:33:59,400 --> 00:34:03,680 Speaker 1: Sayin individual during COVID. And you know, there are some 576 00:34:04,400 --> 00:34:07,960 Speaker 1: there are some culprits, I think, inde because remember we 577 00:34:07,960 --> 00:34:10,000 Speaker 1: were much less healthy, especially in the early days than 578 00:34:10,040 --> 00:34:12,040 Speaker 1: say Japan was, and it's because we have ten times 579 00:34:12,040 --> 00:34:15,239 Speaker 1: the obesi, right, that's the primary that was the real differential. 580 00:34:16,120 --> 00:34:19,279 Speaker 1: And you know, man, I've been able. I basically don't 581 00:34:19,280 --> 00:34:21,799 Speaker 1: really drink anymore. It's not a moral position. I just 582 00:34:21,920 --> 00:34:24,200 Speaker 1: I'm just cutting it down. I gotta get married, I 583 00:34:24,200 --> 00:34:27,440 Speaker 1: gotta you know, fit into my suit, right, you're drinking 584 00:34:27,480 --> 00:34:29,320 Speaker 1: once you get married for a few years. By the way, 585 00:34:29,920 --> 00:34:31,759 Speaker 1: am I gonna tell Laara you said that we're just 586 00:34:31,760 --> 00:34:33,799 Speaker 1: gonna let that she's not. She didn't hear that. That's 587 00:34:33,840 --> 00:34:36,759 Speaker 1: actually that's actually an intentional joke to see if my 588 00:34:36,800 --> 00:34:38,960 Speaker 1: wife is listening to the podcast THEE if I hear 589 00:34:38,960 --> 00:34:42,239 Speaker 1: about that one. Um, But I've been able. I'm not 590 00:34:42,280 --> 00:34:45,279 Speaker 1: somebody I gave up, whether I did or did not 591 00:34:46,200 --> 00:34:48,960 Speaker 1: imbibe any substances. I gave that all up after nine 592 00:34:48,960 --> 00:34:50,520 Speaker 1: to eleven to join the CIA. So I'm not like 593 00:34:50,560 --> 00:34:52,239 Speaker 1: a drugs guy. I haven't been a drugs guy of 594 00:34:52,239 --> 00:34:55,080 Speaker 1: any kind for many, many decades now, or many decades now. 595 00:34:55,800 --> 00:34:59,600 Speaker 1: M Sugar Clay, I don't know, man it is. I 596 00:34:59,640 --> 00:35:02,000 Speaker 1: think that sugar is the addiction that all of us, 597 00:35:02,080 --> 00:35:04,680 Speaker 1: not all of us, but like almost everybody has and 598 00:35:04,760 --> 00:35:07,080 Speaker 1: doesn't eat. Like I know, I have a caffeine thing. 599 00:35:07,160 --> 00:35:08,759 Speaker 1: But I can manage that and handle that. I need 600 00:35:08,760 --> 00:35:10,719 Speaker 1: caffeine in the morning, I needed a few times a day, 601 00:35:11,160 --> 00:35:13,840 Speaker 1: and I can live with that. But I think sugar 602 00:35:13,920 --> 00:35:17,600 Speaker 1: is the thing that we all just assume, Oh it's fine, 603 00:35:17,960 --> 00:35:21,560 Speaker 1: it's just a food. Sometimes you get sugar cravings, and 604 00:35:21,600 --> 00:35:24,600 Speaker 1: they're like other cravings and men if you start adding 605 00:35:24,640 --> 00:35:26,680 Speaker 1: up the caloric content of all the sugar we eat, 606 00:35:26,960 --> 00:35:29,040 Speaker 1: I don't know. I think it's a big issue. Well, 607 00:35:29,080 --> 00:35:31,800 Speaker 1: the only way you can lose weight, since it's after 608 00:35:31,880 --> 00:35:34,160 Speaker 1: the first of the year and everybody's got their New 609 00:35:34,200 --> 00:35:36,560 Speaker 1: Year's resolutions and a lot of them have to do 610 00:35:36,600 --> 00:35:40,040 Speaker 1: with getting in better shape, is eating less. Right. I mean, 611 00:35:40,080 --> 00:35:43,319 Speaker 1: you and I both work out a decent amount exercise wise. 612 00:35:43,360 --> 00:35:47,560 Speaker 1: I think that's important, certainly cardiovascular health all that, but 613 00:35:47,800 --> 00:35:51,360 Speaker 1: if you actually want to lose weight, what I have 614 00:35:51,400 --> 00:35:53,799 Speaker 1: found is we were just talking about this off the air. 615 00:35:54,400 --> 00:35:56,960 Speaker 1: What you eat is like seventy five or eighty percent 616 00:35:56,960 --> 00:35:59,240 Speaker 1: of what you weigh, right, you could work there unless 617 00:35:59,239 --> 00:36:01,440 Speaker 1: you're like a pro athlete you're working out, you know, 618 00:36:01,480 --> 00:36:05,080 Speaker 1: like six hours a day or something. What you eat 619 00:36:05,239 --> 00:36:07,719 Speaker 1: is going to dictate what you weigh, and there's no 620 00:36:07,800 --> 00:36:10,319 Speaker 1: other way to disguise it. And the other thing is hard. 621 00:36:10,360 --> 00:36:12,960 Speaker 1: It doesn't matter, you know. I I like throwing around 622 00:36:12,960 --> 00:36:15,319 Speaker 1: a barbell and being trying to do all the weight 623 00:36:15,400 --> 00:36:17,320 Speaker 1: stuff for the gym. You know, I would say I'm 624 00:36:17,440 --> 00:36:23,719 Speaker 1: becoming an advanced beginner in the gym and walking. It 625 00:36:23,760 --> 00:36:28,920 Speaker 1: doesn't sound sexy, but man, you gotta walk. Moving around 626 00:36:29,040 --> 00:36:30,920 Speaker 1: is really a really important part of it too. I'm 627 00:36:30,920 --> 00:36:33,040 Speaker 1: trying to add walks everybody listening to this, If you're 628 00:36:33,040 --> 00:36:35,160 Speaker 1: not walking thirty forty minutes a day, I don't care 629 00:36:35,440 --> 00:36:37,880 Speaker 1: what shape you're in, it's good for you. That's what 630 00:36:38,080 --> 00:36:40,319 Speaker 1: everyone I know who's an incredible shape clay, because I 631 00:36:40,360 --> 00:36:42,480 Speaker 1: ask those people all the time. They're like, hey, man, 632 00:36:42,520 --> 00:36:45,560 Speaker 1: are you walking? And I'm like, wow, really, why