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 --> 00:00:08,240 Speaker 1: Sexton Show podcast. Welcome in number two Clay Travis buck 3 00:00:08,320 --> 00:00:12,120 Speaker 1: Sexton Show. We appreciate all of you hanging out with 4 00:00:12,600 --> 00:00:16,000 Speaker 1: us as we roll through the Wednesday edition of the program. 5 00:00:16,640 --> 00:00:19,480 Speaker 1: I want to encourage you. We're waving right now. What's up? YouTube, 6 00:00:19,520 --> 00:00:22,880 Speaker 1: appreciate all of you watching us there. You can subscribe 7 00:00:22,880 --> 00:00:25,200 Speaker 1: for free type in Clay Travis and type in Buck 8 00:00:25,280 --> 00:00:29,120 Speaker 1: Sexton Boom free again subscriptions There you can also go 9 00:00:29,200 --> 00:00:34,000 Speaker 1: subscribe to the podcast. We have been told good news, 10 00:00:34,080 --> 00:00:36,360 Speaker 1: which is not a surprise really to Buck and Eye. 11 00:00:36,400 --> 00:00:39,440 Speaker 1: But people listen in all different ways, and a rising 12 00:00:39,440 --> 00:00:41,560 Speaker 1: tide lifts all boats, and so we've got the most 13 00:00:41,600 --> 00:00:44,040 Speaker 1: listened to radio show in the country. We appreciate all 14 00:00:44,040 --> 00:00:46,040 Speaker 1: of you listening on many of our fine affiliates all 15 00:00:46,040 --> 00:00:48,960 Speaker 1: over there, but we have one of the biggest podcast 16 00:00:49,040 --> 00:00:50,960 Speaker 1: in all of iHeart. I think a top three or 17 00:00:51,000 --> 00:00:54,160 Speaker 1: top four podcast in the entire iHeart community, even though 18 00:00:54,160 --> 00:00:56,840 Speaker 1: we've also got a monster radio show. And that is 19 00:00:56,840 --> 00:00:59,720 Speaker 1: because a lot of you out there go download the podcast. 20 00:01:00,120 --> 00:01:02,080 Speaker 1: Of you were listening to me right now on the podcast, 21 00:01:02,120 --> 00:01:05,600 Speaker 1: including my own wife who listens to us at two 22 00:01:05,600 --> 00:01:07,960 Speaker 1: point zero speed, because that way she only has to 23 00:01:08,000 --> 00:01:11,000 Speaker 1: listen to me half as much as she otherwise would. 24 00:01:11,400 --> 00:01:13,240 Speaker 1: So you can pick a speed on the podcast and 25 00:01:13,280 --> 00:01:15,560 Speaker 1: we can talk really really fast. I've heard it. We 26 00:01:15,600 --> 00:01:20,720 Speaker 1: sound like we're doing micromachines, ads Buck. We talked about 27 00:01:20,720 --> 00:01:25,280 Speaker 1: this yesterday because right as we were finishing the program, 28 00:01:25,600 --> 00:01:30,720 Speaker 1: AOC and members of the squad had videos going viral 29 00:01:30,920 --> 00:01:34,800 Speaker 1: of them walking with their hands behind their backs. They 30 00:01:34,880 --> 00:01:38,600 Speaker 1: were arrested, and I'm putting arrested in quotation marks. My 31 00:01:38,720 --> 00:01:42,840 Speaker 1: understanding on the arrests is they were not arrested for protesting. 32 00:01:43,240 --> 00:01:47,240 Speaker 1: They were arrested for refusing to leave the road, thereby 33 00:01:47,440 --> 00:01:53,240 Speaker 1: guaranteeing that they were arrested, and then they pretended that 34 00:01:53,320 --> 00:01:58,960 Speaker 1: they had been handcuffed. It was just such a stupid moment, 35 00:01:59,800 --> 00:02:04,200 Speaker 1: even for Democrats. AOC walking alongside of Johan Omar and 36 00:02:04,320 --> 00:02:08,679 Speaker 1: other members of the squad pretending that they had been arrested, 37 00:02:08,760 --> 00:02:11,480 Speaker 1: walking with their hands behind their backs. I'm surprised they 38 00:02:11,480 --> 00:02:13,600 Speaker 1: didn't throw themselves on the ground and claim that the 39 00:02:13,639 --> 00:02:21,840 Speaker 1: police were also beating them. AOC is destruction for the Democrats. 40 00:02:22,680 --> 00:02:27,239 Speaker 1: The more powerful she and the squad become the more 41 00:02:27,440 --> 00:02:36,280 Speaker 1: they lose support nationwide. Do Democrats understand this? And moreover, 42 00:02:36,639 --> 00:02:40,640 Speaker 1: it seems certain that everybody is afraid of AOC because 43 00:02:40,680 --> 00:02:44,519 Speaker 1: they're popular on social media. Chuck Schumer's afraid that she's 44 00:02:44,560 --> 00:02:46,920 Speaker 1: going to challenge him and try to knock him out 45 00:02:46,960 --> 00:02:50,920 Speaker 1: of office. Whatever you may think about Chuck Schumer and 46 00:02:51,000 --> 00:02:56,639 Speaker 1: Nancy Pelosi, I don't really question their intelligence. I question 47 00:02:56,960 --> 00:03:02,200 Speaker 1: their overall direction that they would tell the country. I 48 00:03:02,280 --> 00:03:05,880 Speaker 1: don't think AOC is very smart, and I don't think 49 00:03:05,960 --> 00:03:10,920 Speaker 1: she is capable of really understanding any of the implications 50 00:03:10,919 --> 00:03:13,600 Speaker 1: of the decisions that she's making. Partly, I think that 51 00:03:13,639 --> 00:03:16,280 Speaker 1: factors in that she's young. And this is the bigger 52 00:03:16,280 --> 00:03:18,440 Speaker 1: issue that we've talked about with Democrats in general. Most 53 00:03:18,480 --> 00:03:22,000 Speaker 1: of them don't understand basic business. Even inside of the 54 00:03:22,360 --> 00:03:25,200 Speaker 1: economic team at the Biden White House. Basically none of them. 55 00:03:25,240 --> 00:03:27,919 Speaker 1: Just to be basically none of them. Two point four 56 00:03:28,000 --> 00:03:30,680 Speaker 1: years is the average amount of time that the Biden 57 00:03:30,800 --> 00:03:36,240 Speaker 1: economic advisors have actually spent in business. How did the 58 00:03:36,280 --> 00:03:38,360 Speaker 1: Democrats if at all? Because I watched that video, and 59 00:03:38,400 --> 00:03:40,320 Speaker 1: I'm curious what you would say about this buck When 60 00:03:40,320 --> 00:03:43,880 Speaker 1: I watched that video of her walking fake, handcuffed. I 61 00:03:44,040 --> 00:03:48,680 Speaker 1: think to myself, how in the world do Democrats divorce 62 00:03:48,800 --> 00:03:55,320 Speaker 1: themselves from the AOC's of the world, or even can they? 63 00:03:55,960 --> 00:03:59,200 Speaker 1: Is she the future of the Democrat Party or are 64 00:03:59,200 --> 00:04:01,360 Speaker 1: they going to kick them to the curb at some 65 00:04:01,440 --> 00:04:05,280 Speaker 1: point recognizing that they are destroying the party from within? 66 00:04:05,600 --> 00:04:08,320 Speaker 1: I just how would you? What is their plan here? 67 00:04:08,520 --> 00:04:11,080 Speaker 1: I think she's the ideal. I think she's the ideological 68 00:04:11,800 --> 00:04:14,440 Speaker 1: vanguard of the Democrat Party. Now. I think that Nancy 69 00:04:14,520 --> 00:04:18,039 Speaker 1: Pelosi actually has AOC envy a lot of the time, 70 00:04:18,160 --> 00:04:23,159 Speaker 1: because AOC can drive. Now. Pelosi has more power, obviously, 71 00:04:23,360 --> 00:04:27,160 Speaker 1: and has more connections and more political cunning. Um, but 72 00:04:27,320 --> 00:04:30,720 Speaker 1: from being in office for decades, yes, while again her 73 00:04:30,760 --> 00:04:33,039 Speaker 1: husband's so good at playing the stock market. It's like 74 00:04:33,240 --> 00:04:35,600 Speaker 1: I should have invested in the Paul Pelosi fund all 75 00:04:35,600 --> 00:04:38,960 Speaker 1: this time. I had no idea. I'm glad you bring 76 00:04:39,000 --> 00:04:41,880 Speaker 1: that up. Can we just all agree that it's pretty 77 00:04:41,920 --> 00:04:46,320 Speaker 1: crazy that all of these congressmen and women can inside 78 00:04:46,320 --> 00:04:50,160 Speaker 1: her trade and it's just totally accepted. I don't know 79 00:04:50,320 --> 00:04:54,599 Speaker 1: when you got Pelosi fought the Bill Clay that I know, 80 00:04:54,760 --> 00:04:56,360 Speaker 1: That's what I'm saying. I don't even see this as 81 00:04:56,400 --> 00:05:01,120 Speaker 1: remotely partisan. She's super wealthy. She could easily buy index 82 00:05:01,240 --> 00:05:04,160 Speaker 1: funds and sit back and not need to buy and 83 00:05:04,160 --> 00:05:08,720 Speaker 1: sell individual stocks. Yet her timing, and this has been 84 00:05:08,760 --> 00:05:11,520 Speaker 1: the case for lots of people, Republicans and Democrats. I 85 00:05:11,520 --> 00:05:14,360 Speaker 1: don't even think this is partisan. It seems like everybody 86 00:05:14,360 --> 00:05:17,640 Speaker 1: should have to put their money into index funds when 87 00:05:17,720 --> 00:05:20,039 Speaker 1: they are sitting in positions a prominence like this is 88 00:05:20,040 --> 00:05:22,720 Speaker 1: that is that not something that almost everybody would agree with. Oh, 89 00:05:22,800 --> 00:05:25,680 Speaker 1: I anybody who's being fair would agree with it. But 90 00:05:25,720 --> 00:05:30,280 Speaker 1: the people that have been beating the sp five hundred 91 00:05:30,480 --> 00:05:32,720 Speaker 1: year in and year out, the people that suddenly are 92 00:05:33,000 --> 00:05:35,240 Speaker 1: are brilliant investors. I mean, look at some of the 93 00:05:35,240 --> 00:05:38,160 Speaker 1: Pelosi family land deals in the state of California. Look 94 00:05:38,440 --> 00:05:40,680 Speaker 1: into the history. He'll say, wait a second. So it's 95 00:05:40,680 --> 00:05:43,520 Speaker 1: almost like they know there's gonna be more funding for 96 00:05:44,000 --> 00:05:47,840 Speaker 1: either a rail project or there's gonna be a highway extension, 97 00:05:47,839 --> 00:05:49,320 Speaker 1: and all of a sudden, right, I mean, you see 98 00:05:49,360 --> 00:05:53,000 Speaker 1: this happening all the time. But remember this was true 99 00:05:53,040 --> 00:05:56,120 Speaker 1: of the Clinton family, it is true of the Biden family, 100 00:05:56,360 --> 00:06:00,840 Speaker 1: it's true of the Pelosi family. If you are if 101 00:06:00,880 --> 00:06:05,440 Speaker 1: you are a Democrat, who is of value to the party. 102 00:06:05,640 --> 00:06:08,800 Speaker 1: They will protect you no matter how corrupt you are. 103 00:06:09,240 --> 00:06:13,280 Speaker 1: You can literally lie under oath and not face perjury 104 00:06:13,360 --> 00:06:19,440 Speaker 1: charges like Bill Clinton. You can make videos of yourself distributing, 105 00:06:19,800 --> 00:06:25,880 Speaker 1: using cocaine, crack and having prostitutes and making corno videos 106 00:06:26,080 --> 00:06:30,279 Speaker 1: and legally purchasing a firearm. But where's the federal firearms 107 00:06:30,320 --> 00:06:32,800 Speaker 1: investigation Intoe Hunter Biden. You're not allowed to do that. 108 00:06:32,839 --> 00:06:35,359 Speaker 1: I was talking about gun laws. Hunter Biden as an 109 00:06:35,400 --> 00:06:38,919 Speaker 1: habitual drug user, and they're a person in possession of 110 00:06:38,920 --> 00:06:42,000 Speaker 1: control the legal substances, not allowed to buy a firearm. 111 00:06:42,400 --> 00:06:46,159 Speaker 1: But they protect them. You see, they protect these democrats 112 00:06:46,200 --> 00:06:50,280 Speaker 1: no matter what they do. Pelosi. You could have video 113 00:06:50,480 --> 00:06:54,839 Speaker 1: of Pelosi's husband meeting with you know, the head of 114 00:06:54,960 --> 00:06:57,320 Speaker 1: company X y Z saying, hey, we're about to have 115 00:06:57,360 --> 00:06:59,760 Speaker 1: a merger in you know, two months, get in now, 116 00:07:00,480 --> 00:07:03,680 Speaker 1: you know, market moving information, and you would have people 117 00:07:03,720 --> 00:07:06,159 Speaker 1: going on CNN saying, oh, it's very complicated to know 118 00:07:06,279 --> 00:07:09,560 Speaker 1: what's really considered inside information, and you know, this is 119 00:07:10,320 --> 00:07:13,760 Speaker 1: the January sixth insurrection up next. They don't care. They 120 00:07:13,800 --> 00:07:17,080 Speaker 1: frankly don't care. And that's why nothing ever changes with this. 121 00:07:17,520 --> 00:07:19,440 Speaker 1: I think a big part of the insider trading thing 122 00:07:19,560 --> 00:07:24,280 Speaker 1: is your average American doesn't really know that much about 123 00:07:24,320 --> 00:07:28,320 Speaker 1: insider trading and how valuable it could be and how 124 00:07:28,440 --> 00:07:32,360 Speaker 1: much information impacts your ability to buy and sell stocks 125 00:07:32,400 --> 00:07:35,520 Speaker 1: at appropriate times and be able to take advantage of it. 126 00:07:35,920 --> 00:07:39,440 Speaker 1: And it is amazing how Nancy Pelosi and her family 127 00:07:39,600 --> 00:07:43,080 Speaker 1: for like forty years has had impeccable timing when it 128 00:07:43,120 --> 00:07:45,400 Speaker 1: comes to buying and selling individual stock. And I'm not 129 00:07:45,440 --> 00:07:49,880 Speaker 1: saying that politicians shouldn't be able to invest in stock markets. 130 00:07:49,880 --> 00:07:53,160 Speaker 1: They certainly should, but they can buy index funds. I mean, 131 00:07:53,200 --> 00:07:55,800 Speaker 1: most of the money that I have is in SMP 132 00:07:55,880 --> 00:07:59,080 Speaker 1: five hundred index funds. I'm not buying and selling individual stocks. 133 00:07:59,080 --> 00:08:01,560 Speaker 1: Although I will apologie to Buck because some of the 134 00:08:01,600 --> 00:08:04,480 Speaker 1: stock recommendations that that I've given him of late have 135 00:08:04,680 --> 00:08:07,320 Speaker 1: not they look good for a while, right man. My 136 00:08:07,440 --> 00:08:10,200 Speaker 1: defense glad that you know can't really afford the vacations 137 00:08:10,200 --> 00:08:11,960 Speaker 1: the same way, but I can always crash at the 138 00:08:12,440 --> 00:08:15,280 Speaker 1: Clay Travis Beach house. Not the good news. But I 139 00:08:15,320 --> 00:08:17,640 Speaker 1: would like to apologize to Carry. They were they were 140 00:08:17,680 --> 00:08:19,720 Speaker 1: playing in a big honeymoon and then I told him, Hey, 141 00:08:19,720 --> 00:08:21,400 Speaker 1: I got a couple of stocks that I'm buying on 142 00:08:21,440 --> 00:08:24,120 Speaker 1: an individual level here and now now you're gonna be 143 00:08:24,160 --> 00:08:26,720 Speaker 1: going to uh, you know, New York City over to 144 00:08:27,080 --> 00:08:30,200 Speaker 1: New Jersey on the honeymoon. So that's on me. Live 145 00:08:30,200 --> 00:08:33,920 Speaker 1: and learn, folks. So we got this nice New York's 146 00:08:34,040 --> 00:08:39,160 Speaker 1: nice in January. Let's be honest. So we we have 147 00:08:39,200 --> 00:08:44,240 Speaker 1: we have AOC with the fake arrest yesterday, and I 148 00:08:44,280 --> 00:08:47,360 Speaker 1: would just note that I don't even think it doesn't 149 00:08:47,400 --> 00:08:50,080 Speaker 1: matter even that it's fake, because the optics of it 150 00:08:50,080 --> 00:08:52,920 Speaker 1: are supposed to be that she's standing up to the man. 151 00:08:53,200 --> 00:08:56,240 Speaker 1: And also lots of people are only going to see 152 00:08:56,320 --> 00:08:59,319 Speaker 1: five second clips of that because she's an Instagram influencer, 153 00:08:59,320 --> 00:09:01,640 Speaker 1: which I'm happy to say it's starting to catch on 154 00:09:01,640 --> 00:09:04,880 Speaker 1: a little bit. But people don't want depth, right, they're 155 00:09:04,920 --> 00:09:07,160 Speaker 1: gonna watch the five seconds. They'll cut it off even 156 00:09:07,160 --> 00:09:10,199 Speaker 1: before she does the fist power sign and just clip 157 00:09:10,240 --> 00:09:13,240 Speaker 1: it and say, AOC got arrested for protesting and you 158 00:09:13,280 --> 00:09:15,320 Speaker 1: get five seconds and you don't even see that she 159 00:09:15,480 --> 00:09:20,080 Speaker 1: wasn't even handcuffed. It's amazing how much of the Democrat 160 00:09:20,800 --> 00:09:27,640 Speaker 1: policy and just ideological core boils down to envy and 161 00:09:28,000 --> 00:09:32,960 Speaker 1: your poor decisions, aren't the problem. It's other people standing 162 00:09:32,960 --> 00:09:35,480 Speaker 1: in your, standing in the way of a government that 163 00:09:35,520 --> 00:09:38,240 Speaker 1: will bring about utopia, that's the problem. I mean, what 164 00:09:38,559 --> 00:09:43,280 Speaker 1: does AOC stand for that would actually improve the average 165 00:09:43,280 --> 00:09:47,760 Speaker 1: American's life in a clear way, that would not have 166 00:09:47,800 --> 00:09:49,640 Speaker 1: a massive downside? Right? I mean, this is what we 167 00:09:49,640 --> 00:09:52,640 Speaker 1: saw for example with lockdowns, we're saving lives, yea, they 168 00:09:52,640 --> 00:09:54,920 Speaker 1: actually didn't save lives. They ruined lives. And they just 169 00:09:54,960 --> 00:09:57,240 Speaker 1: saw The latest analysis is that there was an increase 170 00:09:57,520 --> 00:10:02,520 Speaker 1: in thirty percent fatal drug over in twenty twenty because 171 00:10:02,520 --> 00:10:05,080 Speaker 1: of lockdowns. We all know it. So tens of thousands 172 00:10:05,080 --> 00:10:08,800 Speaker 1: of people died for their idiocy. What is the idea 173 00:10:08,880 --> 00:10:10,920 Speaker 1: that they would push forward if they could, the Green 174 00:10:11,000 --> 00:10:13,760 Speaker 1: New Deal? Does anyone think how would that make anyone's 175 00:10:13,800 --> 00:10:17,839 Speaker 1: life better? You have to believe. And remember AOC's office 176 00:10:17,880 --> 00:10:20,640 Speaker 1: was the one that put forward the Green New Deal template. 177 00:10:21,240 --> 00:10:23,080 Speaker 1: Remember that's we talked with the Green New Deal. That 178 00:10:23,120 --> 00:10:27,080 Speaker 1: was AOC who put that forward. The Instagram influencer of 179 00:10:27,080 --> 00:10:31,920 Speaker 1: Congress and hat Tip Clay and she did. She did 180 00:10:31,960 --> 00:10:34,920 Speaker 1: this and then people said, well, this is we have 181 00:10:35,000 --> 00:10:38,560 Speaker 1: to rebuild every structure in America to make it green 182 00:10:38,679 --> 00:10:43,280 Speaker 1: energy compliant. We'd have to eliminate cows and cow farts, 183 00:10:43,360 --> 00:10:46,280 Speaker 1: because if this is real, that was anything cow charts. 184 00:10:46,440 --> 00:10:50,040 Speaker 1: Methane was in the Green New Deal template document. And 185 00:10:50,520 --> 00:10:54,120 Speaker 1: what we've seen is they keep pushing this stuff. The 186 00:10:54,160 --> 00:10:56,280 Speaker 1: public realizes what it is and they back off a 187 00:10:56,280 --> 00:10:58,520 Speaker 1: little bit, but they think that incrementally, over time they 188 00:10:58,520 --> 00:11:02,079 Speaker 1: can get there, which is why PBS had a special 189 00:11:02,120 --> 00:11:06,559 Speaker 1: a couple of days ago about edible insects the Corporation 190 00:11:06,600 --> 00:11:12,160 Speaker 1: for Public Broadcasting. Everybody, okay, edible insects. Get used to it, peasants, 191 00:11:12,200 --> 00:11:14,520 Speaker 1: this is what the Green New Deal people. Pelosi is 192 00:11:14,520 --> 00:11:16,320 Speaker 1: going to be on a private Jetty and and caviare 193 00:11:16,559 --> 00:11:19,679 Speaker 1: but maybe she'll sprinkle some cricket dust over you as 194 00:11:19,679 --> 00:11:22,080 Speaker 1: you're starving in the street. In the streets. That is 195 00:11:22,120 --> 00:11:24,600 Speaker 1: the future they want for you, and it's it's true, 196 00:11:24,640 --> 00:11:28,839 Speaker 1: it's real. I just I look at it. And that's 197 00:11:28,920 --> 00:11:31,800 Speaker 1: kind of the question that I think. The answer to 198 00:11:31,840 --> 00:11:34,160 Speaker 1: the question of how do they divorce themselves from AOC 199 00:11:35,040 --> 00:11:39,480 Speaker 1: is utter destruction at the polls. And I believe that 200 00:11:39,520 --> 00:11:41,679 Speaker 1: twenty twenty two is going to be big. But if 201 00:11:41,720 --> 00:11:45,520 Speaker 1: Republicans do a good job of picking the right nominee 202 00:11:45,720 --> 00:11:48,000 Speaker 1: and We're going to have a monster long discussion about 203 00:11:48,000 --> 00:11:49,480 Speaker 1: who the nominee is going to because I think a 204 00:11:49,520 --> 00:11:51,800 Speaker 1: lot of people are going to run. It should be 205 00:11:51,960 --> 00:11:54,600 Speaker 1: utter destruction in twenty twenty four. And I'm asked, kicking 206 00:11:54,679 --> 00:11:57,120 Speaker 1: is clarifying? I hope. So I'll make a prediction right 207 00:11:57,120 --> 00:12:02,120 Speaker 1: now if I were advising AOC, which now, wouldn't that 208 00:12:02,160 --> 00:12:04,480 Speaker 1: be fascinating. But if I were advised the AOC, I 209 00:12:04,520 --> 00:12:08,280 Speaker 1: would say, maybe one more term in Congress, come out, 210 00:12:08,880 --> 00:12:11,800 Speaker 1: get paid fifteen million dollars a year to have your 211 00:12:11,800 --> 00:12:14,600 Speaker 1: own show at MSNBC. They'd sign her up in primetime 212 00:12:14,600 --> 00:12:17,959 Speaker 1: in a heartbeat. Their lineup right now is garbage. Get 213 00:12:18,000 --> 00:12:20,640 Speaker 1: a ten million dollar book deal. Now you're really wealthy, 214 00:12:21,040 --> 00:12:23,640 Speaker 1: and you have the whole media ecosystem to build your 215 00:12:23,640 --> 00:12:26,400 Speaker 1: brand and then run for president. She's gonna do it, Clay, 216 00:12:26,440 --> 00:12:29,520 Speaker 1: I'm telling you it doesn't matter. Joe Biden's the president. Well, 217 00:12:29,520 --> 00:12:31,880 Speaker 1: we're gonna say AOC is too dumb to be president. 218 00:12:32,000 --> 00:12:36,520 Speaker 1: Look who's the president right now. I'd like to say 219 00:12:36,559 --> 00:12:38,839 Speaker 1: that you're wrong'd. I'd like to be able to say 220 00:12:38,840 --> 00:12:41,959 Speaker 1: there's no way it's going to happen. But I do 221 00:12:42,240 --> 00:12:46,440 Speaker 1: think that AOC would get exposed in a major way 222 00:12:47,600 --> 00:12:53,040 Speaker 1: outside of her social media influencer bubble, because that's assuming 223 00:12:53,080 --> 00:12:56,199 Speaker 1: that she actually sits for any interviews. Joe Biden doesn't 224 00:12:56,200 --> 00:12:59,720 Speaker 1: do that now, And to your point, Buck, I totally 225 00:12:59,760 --> 00:13:01,959 Speaker 1: can see all of that happening. I don't even think 226 00:13:01,960 --> 00:13:04,880 Speaker 1: she would be that good on television because I don't 227 00:13:04,920 --> 00:13:07,720 Speaker 1: think I guess if everybody writes everything for her and 228 00:13:07,840 --> 00:13:10,320 Speaker 1: she just reads it off a teleprompter, which is basically 229 00:13:10,400 --> 00:13:14,800 Speaker 1: the Instagram influencer model going to MSNBC, she just doesn't 230 00:13:14,840 --> 00:13:18,560 Speaker 1: have that many interesting ideas, and so I don't know 231 00:13:18,600 --> 00:13:21,480 Speaker 1: that she would be a very interesting person if she 232 00:13:21,559 --> 00:13:24,000 Speaker 1: had to actually care. She's interesting for a congress Her 233 00:13:24,040 --> 00:13:29,160 Speaker 1: followers think you're clays planning right now, and your your 234 00:13:29,200 --> 00:13:34,840 Speaker 1: sis gender, male, alpha, YadA YadA, is just way she's 235 00:13:34,920 --> 00:13:39,200 Speaker 1: interesting for a congress person. Is she actually interesting for 236 00:13:39,280 --> 00:13:43,160 Speaker 1: a person that has to compete for interest? I don't 237 00:13:43,200 --> 00:13:45,240 Speaker 1: know that she could do a fun show. I don't 238 00:13:45,240 --> 00:13:49,600 Speaker 1: know that she's an engaging personality outside she's again, she's 239 00:13:49,600 --> 00:13:52,560 Speaker 1: competing against people who are really boring, and she's way 240 00:13:52,600 --> 00:13:55,120 Speaker 1: better looking than they are, and she's way younger than 241 00:13:55,160 --> 00:13:57,920 Speaker 1: they are. But when she actually competes against young and 242 00:13:58,080 --> 00:14:02,680 Speaker 1: smart people, is she actually very impressive. I have significant 243 00:14:02,679 --> 00:14:05,760 Speaker 1: doubts about that. I mean, right when when she sends 244 00:14:05,760 --> 00:14:08,040 Speaker 1: you to Gitmo, when she's president, I promise I'll come 245 00:14:08,040 --> 00:14:10,080 Speaker 1: and visit Clay. I'll give I'll give you an example, 246 00:14:10,120 --> 00:14:13,240 Speaker 1: A quick example here, Buck, I was good looking for 247 00:14:13,760 --> 00:14:16,720 Speaker 1: being a sportswriter. I am not a particularly good looking 248 00:14:16,720 --> 00:14:19,760 Speaker 1: man in the larger confidence. It's one of the things 249 00:14:19,760 --> 00:14:23,200 Speaker 1: I love about my coods. No good looking for a sportswriter. 250 00:14:23,360 --> 00:14:25,600 Speaker 1: Good looking for a sportswriter is like a four on 251 00:14:25,640 --> 00:14:27,400 Speaker 1: the scale of one to ten. These are not good 252 00:14:27,400 --> 00:14:31,240 Speaker 1: looking men, all right. AOC is owes a lot of 253 00:14:31,240 --> 00:14:35,160 Speaker 1: her attention because of her profession. I don't think if 254 00:14:35,160 --> 00:14:38,240 Speaker 1: she moves outside of politics, I don't think she'd actually 255 00:14:38,240 --> 00:14:40,400 Speaker 1: be very good. Like Rachel Maddow is good at television, 256 00:14:40,480 --> 00:14:44,640 Speaker 1: I think AOC might suck at it. We'll see, we 257 00:14:44,760 --> 00:14:47,840 Speaker 1: may well see. I think I'm scared that your prognosis 258 00:14:47,920 --> 00:14:50,520 Speaker 1: is correct. But we'll go back to Buck is fucking 259 00:14:50,600 --> 00:14:53,000 Speaker 1: see the future. I think it's pretty clear what's gonna happen. 260 00:14:53,120 --> 00:14:57,040 Speaker 1: I am concerned that your prognosis is correct. I'm just 261 00:14:57,240 --> 00:14:59,840 Speaker 1: hoping that she would actually suck at what you're telling 262 00:14:59,840 --> 00:15:02,880 Speaker 1: her or she should do. How many star athletes, former 263 00:15:02,920 --> 00:15:07,040 Speaker 1: athletes turn sports broadcasters wear Wolf and Shepherd a lot 264 00:15:07,080 --> 00:15:09,760 Speaker 1: more than you'd think. Wolf and Shepherd founded by a 265 00:15:09,800 --> 00:15:13,320 Speaker 1: former track athlete and designer who came to appreciate just 266 00:15:13,400 --> 00:15:15,760 Speaker 1: how important it was to have comfortable shoes while being 267 00:15:15,840 --> 00:15:18,520 Speaker 1: dressed up. I wear these things everywhere. If you see 268 00:15:18,560 --> 00:15:21,280 Speaker 1: me out, there is a good chance that if my 269 00:15:21,360 --> 00:15:24,480 Speaker 1: wife especially is going to be with me, I gotta 270 00:15:24,480 --> 00:15:27,040 Speaker 1: look somewhat decent next to her. Again, you just heard 271 00:15:27,080 --> 00:15:28,600 Speaker 1: me say, I'm a four on the scale of one 272 00:15:28,640 --> 00:15:31,720 Speaker 1: to ten. I gotta look somewhat decent next to her 273 00:15:32,080 --> 00:15:34,600 Speaker 1: because she's really good looking. And the shoes help a 274 00:15:34,600 --> 00:15:37,880 Speaker 1: little bit. They do because they're comfortable, but they also 275 00:15:38,040 --> 00:15:43,120 Speaker 1: have incredible full grain Italian leather on the top. Every 276 00:15:43,160 --> 00:15:46,360 Speaker 1: guy who wants to go out and look decent in 277 00:15:46,400 --> 00:15:49,280 Speaker 1: a shoe, I'm telling you join the pack. Wolf and 278 00:15:49,320 --> 00:15:51,880 Speaker 1: Shepherd should be a part of your routine. I think 279 00:15:51,880 --> 00:15:54,080 Speaker 1: that you will love them like fucking I do. And 280 00:15:54,600 --> 00:15:57,800 Speaker 1: maybe more importantly, I think your wife or girlfriend or 281 00:15:58,160 --> 00:15:59,800 Speaker 1: a girl you're trying to impress out on a date. 282 00:15:59,800 --> 00:16:02,240 Speaker 1: Will as well. We've got him, you'll love him. Go 283 00:16:02,280 --> 00:16:05,480 Speaker 1: to Wolf and Shepherd dot com. Get yourself hooked up 284 00:16:05,560 --> 00:16:08,360 Speaker 1: right now. Women out there, if you're worried about the 285 00:16:08,400 --> 00:16:11,480 Speaker 1: shoes that your man wears, go check them out and 286 00:16:11,560 --> 00:16:14,960 Speaker 1: buy them for him. Good present, good gift. Wolf and 287 00:16:15,120 --> 00:16:19,040 Speaker 1: Shepherd dot Com spelled s h E p h e 288 00:16:19,400 --> 00:16:23,720 Speaker 1: r D. That's Wolf and Shepherd dot com. Welcome back, 289 00:16:23,760 --> 00:16:26,240 Speaker 1: Clayan Buck Here we're talking about the golden age of 290 00:16:26,400 --> 00:16:30,240 Speaker 1: SNLB four, which at least Clay and I think involved 291 00:16:30,320 --> 00:16:33,040 Speaker 1: the era of Mike Myers, Dana Carvey and some others. 292 00:16:33,120 --> 00:16:36,600 Speaker 1: Dana Carvey with a Biden impersonation on Late night TV 293 00:16:36,800 --> 00:16:40,040 Speaker 1: that you gotta hear here. It is Biden came out 294 00:16:40,080 --> 00:16:43,080 Speaker 1: as a really sleepy sweet crown pot and he's like 295 00:16:43,240 --> 00:16:46,080 Speaker 1: he's always repeating this story. Yeah, yeah, well imbut to 296 00:16:46,160 --> 00:16:50,840 Speaker 1: scratch Scranton. I'm grow up in scrant Pennsylvania. My dad, 297 00:16:51,120 --> 00:16:55,240 Speaker 1: my dad lost the job. No Joe, I'm not kidding 298 00:16:55,280 --> 00:16:59,680 Speaker 1: around here. No no human being in the world thinks 299 00:16:59,720 --> 00:17:07,280 Speaker 1: that's a Joe. Nobody is anybody hello. And then right 300 00:17:07,640 --> 00:17:09,560 Speaker 1: then even do the number thing number one, the one 301 00:17:09,600 --> 00:17:12,119 Speaker 1: part number two what the guy said, number three, you 302 00:17:12,160 --> 00:17:16,960 Speaker 1: know the drill? Come on now, we don't now. What 303 00:17:17,040 --> 00:17:20,000 Speaker 1: he does is he kind of whispers and then he yells, 304 00:17:20,040 --> 00:17:22,000 Speaker 1: if you know. I think it's a wonderful move. Don't 305 00:17:22,000 --> 00:17:24,000 Speaker 1: you love it when he's like, we know how to 306 00:17:24,240 --> 00:17:28,080 Speaker 1: get natural gas because we can't get it, We're not 307 00:17:28,119 --> 00:17:31,439 Speaker 1: gonna get it. That's way do we get the pitfall 308 00:17:31,520 --> 00:17:34,520 Speaker 1: up five? That's the public, the private. The pirates of 309 00:17:34,600 --> 00:17:38,600 Speaker 1: the caravan nailed it. Man nailed it. The only thing 310 00:17:38,600 --> 00:17:41,080 Speaker 1: he could have done was the whisper, the creepy whisper 311 00:17:41,080 --> 00:17:43,640 Speaker 1: where he leans over and uh and nails it down. 312 00:17:44,040 --> 00:17:48,000 Speaker 1: But Dana Carvey, a sign of everybody turning on Biden 313 00:17:48,200 --> 00:17:52,000 Speaker 1: is suddenly even the comics are teeing off. You owned 314 00:17:52,000 --> 00:17:54,840 Speaker 1: a business over the last several years. I don't need 315 00:17:54,880 --> 00:17:57,160 Speaker 1: to tell you how much of a challenge it's probably 316 00:17:57,200 --> 00:17:59,680 Speaker 1: been for you. In fact, if your business has five 317 00:17:59,760 --> 00:18:02,600 Speaker 1: or more or employees and manage to make it through COVID, 318 00:18:03,040 --> 00:18:06,520 Speaker 1: you could be eligible to survive to receive a payroll 319 00:18:06,560 --> 00:18:10,520 Speaker 1: tax rebate of up to twenty six thousand dollars per employee, 320 00:18:10,840 --> 00:18:14,200 Speaker 1: not alone, no payback, it's just a refund of your 321 00:18:14,240 --> 00:18:16,960 Speaker 1: taxes challenge getting your hands on it. That's why you 322 00:18:16,960 --> 00:18:20,120 Speaker 1: need to go to get refunds dot Com right now. 323 00:18:20,240 --> 00:18:23,880 Speaker 1: They have tax attorneys. They are specialist making sure that 324 00:18:23,920 --> 00:18:27,280 Speaker 1: you can get your money back again. They have returned 325 00:18:27,320 --> 00:18:30,840 Speaker 1: over a billion dollars to businesses. They can help you too. 326 00:18:30,920 --> 00:18:34,480 Speaker 1: Here's how go to get refunds dot Com. Click on 327 00:18:34,640 --> 00:18:38,960 Speaker 1: qualify me, answer a few questions. This payroll tax refund 328 00:18:39,040 --> 00:18:42,720 Speaker 1: only available for a limited amount of time. Don't miss out. 329 00:18:42,840 --> 00:18:46,320 Speaker 1: Go to get refunds dot Com. No risk, high reward, 330 00:18:46,880 --> 00:18:52,440 Speaker 1: Get refunds dot Com. Do it today. Welcome back in 331 00:18:52,600 --> 00:18:55,959 Speaker 1: Clay Travis buck Sexton Show. Appreciate all of you hanging 332 00:18:56,040 --> 00:19:01,159 Speaker 1: out with us. It ain't good as pertains to COVID 333 00:19:01,200 --> 00:19:05,959 Speaker 1: out there. We know that we've been talking with you 334 00:19:06,000 --> 00:19:10,600 Speaker 1: all week. Hey, everybody's gonna come out and masks are 335 00:19:10,680 --> 00:19:15,120 Speaker 1: making a return. Everybody focused all of a sudden. San 336 00:19:15,119 --> 00:19:18,600 Speaker 1: Diego kids, we're number one in San Diego right now, 337 00:19:21,480 --> 00:19:23,960 Speaker 1: are suddenly having to deal with the fact that masks 338 00:19:23,960 --> 00:19:27,320 Speaker 1: are coming back, right Like that's the reality. And so Buck, 339 00:19:27,920 --> 00:19:31,600 Speaker 1: I saw these two studies shared by our buddies Alex 340 00:19:31,680 --> 00:19:35,400 Speaker 1: Barrison and Alex Barrison and doctor Marty McCarry, who comes 341 00:19:35,440 --> 00:19:38,200 Speaker 1: on this show all the time because we've tried to 342 00:19:38,240 --> 00:19:40,920 Speaker 1: be as honest with you guys as we possibly can. 343 00:19:41,760 --> 00:19:44,480 Speaker 1: And I looked at him and I said, it is 344 00:19:44,520 --> 00:19:50,440 Speaker 1: going to become increasingly impossible, I believe to defend these 345 00:19:50,520 --> 00:19:54,680 Speaker 1: COVID shots as they exist right now at all. Doctor 346 00:19:54,760 --> 00:20:00,480 Speaker 1: McCarry texted this morning, Buck, immune function among that eaccinated 347 00:20:00,520 --> 00:20:05,280 Speaker 1: individuals eight months after the administration of two doses of 348 00:20:05,359 --> 00:20:12,320 Speaker 1: COVID the vaccine was lower than among the unvaccinated, that 349 00:20:12,440 --> 00:20:16,119 Speaker 1: is the European Medical Agency and direct quote and he 350 00:20:16,280 --> 00:20:18,960 Speaker 1: linked to this so you can go read it yourself. JOHNS. Hopkins, 351 00:20:19,320 --> 00:20:26,359 Speaker 1: doctor doctor Marty McCarry quote, frequent booster shots could adversely 352 00:20:26,400 --> 00:20:30,720 Speaker 1: affect the immune response. What they're telling you right now 353 00:20:30,840 --> 00:20:33,879 Speaker 1: is rush out and get your booster. What this study 354 00:20:33,920 --> 00:20:37,760 Speaker 1: out of Europe is saying is actually the opposite. The 355 00:20:37,880 --> 00:20:41,199 Speaker 1: more booster shots you get, the more you could create issues. 356 00:20:41,200 --> 00:20:42,600 Speaker 1: And the other one I wanted to hit you with, 357 00:20:42,680 --> 00:20:48,040 Speaker 1: Buck came out from Alex Berenson early this morning. I'm 358 00:20:48,080 --> 00:20:50,359 Speaker 1: reading directly from Alex. You can go read this on 359 00:20:50,400 --> 00:20:53,480 Speaker 1: Alex's substack. You can also go find him on Twitter 360 00:20:53,520 --> 00:20:58,679 Speaker 1: and see this yourself. Wow. Wow, this is Barrenson's tweet. 361 00:20:59,240 --> 00:21:04,800 Speaker 1: The German government just admitted one in five thousand COVID 362 00:21:04,800 --> 00:21:09,800 Speaker 1: shots cause quote serious side effects. He says, this is 363 00:21:09,840 --> 00:21:14,200 Speaker 1: Alex Berenson. That's obviously low. But even if you take 364 00:21:14,240 --> 00:21:19,400 Speaker 1: those numbers, that would translate into the COVID shots seriously 365 00:21:19,600 --> 00:21:24,960 Speaker 1: injuring a hundred and ten thousand people in the United 366 00:21:25,000 --> 00:21:30,280 Speaker 1: States alone. Buck. When you look at these studies as 367 00:21:30,320 --> 00:21:34,200 Speaker 1: they continue to come out, a media that was being 368 00:21:34,280 --> 00:21:38,480 Speaker 1: honest and doing its job would be saying, there are 369 00:21:38,560 --> 00:21:41,560 Speaker 1: legitimate health concerns about the COVID shots. And if you're 370 00:21:41,640 --> 00:21:44,840 Speaker 1: questioning whether the American public is becoming aware of it, 371 00:21:45,280 --> 00:21:47,760 Speaker 1: what I would say is this is why the data 372 00:21:47,840 --> 00:21:50,919 Speaker 1: on six month old Buck to five year old kids 373 00:21:51,000 --> 00:21:54,679 Speaker 1: getting their shots. Two percent of those kids are getting 374 00:21:54,680 --> 00:21:59,640 Speaker 1: those shots. Parents are overwhelmingly recognizing that the COVID shot 375 00:21:59,720 --> 00:22:03,919 Speaker 1: makes sense. Those data points. I mean, this is pretty crazy. 376 00:22:04,480 --> 00:22:06,919 Speaker 1: So there's this, uh, this concept in medicine, and this 377 00:22:06,960 --> 00:22:08,600 Speaker 1: is your You're there are so many there are so 378 00:22:08,600 --> 00:22:11,280 Speaker 1: many things you're not you have not been allowed to 379 00:22:11,320 --> 00:22:13,720 Speaker 1: speak about. I mean, one thing that people have have 380 00:22:13,920 --> 00:22:17,720 Speaker 1: noticed along here is somehow we have all grown up 381 00:22:17,760 --> 00:22:21,480 Speaker 1: in this era where every time you see any pharmaceutical 382 00:22:21,480 --> 00:22:26,320 Speaker 1: advertise on TV, it's always like couples dancing on the beach. 383 00:22:26,359 --> 00:22:30,760 Speaker 1: There's like a horse, a beautiful steed running in the background, 384 00:22:31,080 --> 00:22:34,120 Speaker 1: and then there's people just with like sunshine on swings 385 00:22:34,160 --> 00:22:38,240 Speaker 1: and it's all and then it's like, may cause headaches, vomiting, diarrhea, 386 00:22:38,680 --> 00:22:41,440 Speaker 1: your spleen, may fall out, you know, all this stuff right, 387 00:22:41,840 --> 00:22:44,679 Speaker 1: and effects are never very good. Maybe I don't need 388 00:22:44,760 --> 00:22:47,919 Speaker 1: that after all, May may cause you know, uh, may 389 00:22:47,960 --> 00:22:51,080 Speaker 1: cause gi leakage. It's like that doesn't sound good. So 390 00:22:51,720 --> 00:22:54,520 Speaker 1: you know, you have these things, these these symptoms, and 391 00:22:54,520 --> 00:22:57,639 Speaker 1: and with the vaccines, it was shut up to the 392 00:22:57,720 --> 00:22:59,840 Speaker 1: safest things that have ever worked, or the safest things 393 00:22:59,840 --> 00:23:02,280 Speaker 1: that have ever been developed. Shut up there we were 394 00:23:02,280 --> 00:23:06,280 Speaker 1: to believe that these were essentially and let's remember fifteen 395 00:23:06,280 --> 00:23:08,280 Speaker 1: months ago they said we'll not get it, we'll not 396 00:23:08,320 --> 00:23:11,440 Speaker 1: spread it. That was the promise, that was the science. 397 00:23:11,800 --> 00:23:13,760 Speaker 1: And there was no fact checking of me to do 398 00:23:13,840 --> 00:23:16,199 Speaker 1: on this other than to say, gosh, buck you and 399 00:23:16,240 --> 00:23:19,000 Speaker 1: Claire right, that is what happened. Now we know, of 400 00:23:19,000 --> 00:23:21,560 Speaker 1: course that wasn't that wasn't really true at all, but 401 00:23:21,720 --> 00:23:25,840 Speaker 1: all along they also said this was a silver bullet 402 00:23:26,240 --> 00:23:29,320 Speaker 1: against COVID with no downside, there was no doubt, and 403 00:23:29,320 --> 00:23:31,200 Speaker 1: if you talked about downside you were a bad person. 404 00:23:31,240 --> 00:23:34,280 Speaker 1: In fact, you should get fired from your job if 405 00:23:34,320 --> 00:23:37,360 Speaker 1: you not, but if you you should be banned from 406 00:23:37,359 --> 00:23:40,680 Speaker 1: social media if you even discussed the possibility of side effects. 407 00:23:40,720 --> 00:23:42,920 Speaker 1: So we were to believe, again, I'm not a doctor, 408 00:23:43,000 --> 00:23:45,240 Speaker 1: but I'm also not an idiot. You were supposed to 409 00:23:45,280 --> 00:23:49,280 Speaker 1: believe for the first time in our lives, there was 410 00:23:49,320 --> 00:23:54,080 Speaker 1: a brand new, super effective pharmaceutical effectively which is you know, 411 00:23:54,320 --> 00:23:56,800 Speaker 1: in this case it's it's a vaccine, but it's still 412 00:23:56,960 --> 00:24:01,120 Speaker 1: a drug, a new technology, mRNA right, that had no 413 00:24:01,200 --> 00:24:04,320 Speaker 1: downside none, And if you talked about downside, you were 414 00:24:04,320 --> 00:24:06,920 Speaker 1: a bad person. They were lying to you. Okay, Just 415 00:24:07,040 --> 00:24:10,720 Speaker 1: so ever understands that is someone who says there's no downside, 416 00:24:10,720 --> 00:24:13,040 Speaker 1: there's no There was. Actually there were reports there was 417 00:24:13,040 --> 00:24:14,640 Speaker 1: a woman who got it who was healthy, I think 418 00:24:14,640 --> 00:24:17,320 Speaker 1: it was in Portland who just died and they're like, yes, 419 00:24:17,520 --> 00:24:19,480 Speaker 1: she actually died from the shot. And then if you 420 00:24:19,560 --> 00:24:23,280 Speaker 1: brought that up, you literally wanted millions of grandmas to 421 00:24:23,359 --> 00:24:26,199 Speaker 1: die because you are an anti vax hoaxer, right, This 422 00:24:26,280 --> 00:24:28,879 Speaker 1: is the whole This was the whole narrative, which is 423 00:24:28,920 --> 00:24:32,000 Speaker 1: now of course changed dramatically. Clay to your point about that. 424 00:24:32,400 --> 00:24:35,639 Speaker 1: Then there's even and I've talked to Berenson about this 425 00:24:35,680 --> 00:24:39,399 Speaker 1: before too, because I'm always looking at what he's analyzing 426 00:24:39,400 --> 00:24:43,560 Speaker 1: the data with Original antigenic sin. Have you heard about 427 00:24:43,560 --> 00:24:47,680 Speaker 1: this one? This is interesting. Original antigenic sin is when 428 00:24:47,760 --> 00:24:51,199 Speaker 1: your immune system and I mean this is I'm reading 429 00:24:51,200 --> 00:24:54,399 Speaker 1: this off of the National Library of Medicine, which is 430 00:24:54,400 --> 00:24:56,640 Speaker 1: a dot gov website just or every under sins. This 431 00:24:56,680 --> 00:25:02,600 Speaker 1: is not like crazy anti factor patriot dot seven seven six, 432 00:25:02,680 --> 00:25:04,800 Speaker 1: you know, like this is. This is on the National 433 00:25:04,920 --> 00:25:09,160 Speaker 1: Library of Medicine website and they're talking about how original 434 00:25:09,160 --> 00:25:12,920 Speaker 1: antigenic sin is when and this does exist in science. 435 00:25:13,000 --> 00:25:16,119 Speaker 1: I'm not saying this is happening with the vaccines, but 436 00:25:16,240 --> 00:25:18,760 Speaker 1: it is interesting when you think of this concept in 437 00:25:18,960 --> 00:25:20,880 Speaker 1: over the long run of what could be happening here. 438 00:25:21,960 --> 00:25:27,120 Speaker 1: It's when your body develops an immunological memory response that 439 00:25:27,200 --> 00:25:31,080 Speaker 1: can essentially wrong foot you the second time you're exposed 440 00:25:31,080 --> 00:25:34,760 Speaker 1: to a variant, so you get flu strain A one 441 00:25:35,080 --> 00:25:37,440 Speaker 1: like the steak sauce, right, you get flu strain, a 442 00:25:37,640 --> 00:25:40,880 Speaker 1: wanderrated it is if you're gonna go steak sauce, which 443 00:25:40,880 --> 00:25:43,840 Speaker 1: I am generally. I'm usually not a steak sauce guy, 444 00:25:43,920 --> 00:25:45,919 Speaker 1: and people who could catch up on their steak it 445 00:25:45,960 --> 00:25:48,200 Speaker 1: does make me want to cry on the inside. It's 446 00:25:48,280 --> 00:25:50,880 Speaker 1: one thing about Trump I could never understand. But well done, 447 00:25:50,920 --> 00:25:55,040 Speaker 1: steak indefensible. So but if you get a one variant 448 00:25:55,640 --> 00:25:58,760 Speaker 1: and your body can develop a response to the a 449 00:25:58,960 --> 00:26:02,000 Speaker 1: one variant, let's and this actually it's not it hasn't 450 00:26:02,000 --> 00:26:04,280 Speaker 1: been established. Oh no, it has, I'm sorry. Influenza and 451 00:26:04,400 --> 00:26:07,359 Speaker 1: dengey fever are two places where this exists. In medicine. 452 00:26:08,119 --> 00:26:10,720 Speaker 1: It's essentially your body learns how to fight that version 453 00:26:10,760 --> 00:26:12,679 Speaker 1: of it, and but then when it comes into contact 454 00:26:12,680 --> 00:26:16,520 Speaker 1: with a secondary version, you may have a less robust 455 00:26:16,640 --> 00:26:20,479 Speaker 1: or a less fast immune response because essentially your system goes, oh, 456 00:26:20,520 --> 00:26:22,879 Speaker 1: I've kind of seen this and starts to do what 457 00:26:22,920 --> 00:26:26,240 Speaker 1: I did before instead of I'm going to respond specifically 458 00:26:26,240 --> 00:26:29,320 Speaker 1: to this variant. I'm not saying that has happened with COVID. 459 00:26:29,400 --> 00:26:32,960 Speaker 1: I am saying this exists in science, in medicine, and 460 00:26:33,080 --> 00:26:36,040 Speaker 1: some people are starting to say can we discuss whether this, 461 00:26:36,080 --> 00:26:37,800 Speaker 1: if we keep having more and more variants and more 462 00:26:37,840 --> 00:26:41,960 Speaker 1: and more shots, could be a thing to consider. I 463 00:26:42,000 --> 00:26:43,920 Speaker 1: don't there any doctors out there listening who want to 464 00:26:43,920 --> 00:26:45,679 Speaker 1: weigh in on this one. You got to be very 465 00:26:45,720 --> 00:26:48,480 Speaker 1: careful of this because there's still you speak out against 466 00:26:48,480 --> 00:26:51,400 Speaker 1: the shots. Clay. They come for you, man, they come 467 00:26:51,440 --> 00:26:55,239 Speaker 1: for you. I just think you're one hundred percent right. 468 00:26:55,280 --> 00:26:57,320 Speaker 1: And by the way, eight hundred two A two two 469 00:26:57,440 --> 00:26:59,720 Speaker 1: eight a two. If any doctors want to weigh in 470 00:26:59,800 --> 00:27:02,439 Speaker 1: on that those studies that we cited, you can go 471 00:27:02,480 --> 00:27:04,920 Speaker 1: follow me on Twitter at Clay Travis. You can see 472 00:27:04,920 --> 00:27:08,440 Speaker 1: where I've shared what Alex Parenson and doctor Marty McCarry 473 00:27:08,520 --> 00:27:12,400 Speaker 1: were saying here about these recent data points that are 474 00:27:12,400 --> 00:27:16,760 Speaker 1: coming out. And what I would say is, we're in 475 00:27:16,800 --> 00:27:21,120 Speaker 1: the vast majority here, Buck, because as someone who had 476 00:27:21,200 --> 00:27:26,240 Speaker 1: young kids, if you really thought that your kids were 477 00:27:26,280 --> 00:27:30,320 Speaker 1: in danger from COVID and also that the COVID shot 478 00:27:30,480 --> 00:27:35,920 Speaker 1: would protect them in a month way, more than two 479 00:27:36,000 --> 00:27:38,720 Speaker 1: percent of the American public would have gotten their kids 480 00:27:38,720 --> 00:27:43,959 Speaker 1: these shots. When ninety seven ninety eight percent of American 481 00:27:44,119 --> 00:27:48,560 Speaker 1: parents are saying, nah, I'm not touching this. What we 482 00:27:48,600 --> 00:27:51,520 Speaker 1: are talking about even though social media doesn't like it, 483 00:27:51,960 --> 00:27:54,040 Speaker 1: even though the New York Times and the Washington Post, 484 00:27:54,040 --> 00:27:58,080 Speaker 1: an MSNBC and CNN won't even mention, it is widely 485 00:27:58,160 --> 00:28:02,960 Speaker 1: being discussed right now among parents of children. I hear it, 486 00:28:03,320 --> 00:28:06,120 Speaker 1: I see it, and the data reflects that it's going 487 00:28:06,200 --> 00:28:10,440 Speaker 1: on everywhere. And it's not just red parents, and it's 488 00:28:10,480 --> 00:28:12,679 Speaker 1: not just blue parents. Buck the data out of New 489 00:28:12,760 --> 00:28:17,520 Speaker 1: York City, very blue city, two percent of parents. This 490 00:28:17,600 --> 00:28:20,640 Speaker 1: is something that all parents are discussing. And I would 491 00:28:20,680 --> 00:28:23,480 Speaker 1: submit to you Buck. If Trump were still president, the 492 00:28:23,640 --> 00:28:27,120 Speaker 1: media that I just mentioned, MSNBC, CNN, the Washington Post, 493 00:28:27,160 --> 00:28:30,520 Speaker 1: New York Times, they would be covering every bit of 494 00:28:30,560 --> 00:28:35,560 Speaker 1: this COVID shot story with a fine tooth comb. Democrats, though, Clay, 495 00:28:35,800 --> 00:28:37,720 Speaker 1: I want to put this concept out there. Maybe we 496 00:28:37,720 --> 00:28:39,360 Speaker 1: returned to this. And also if we have any docks, 497 00:28:39,520 --> 00:28:42,000 Speaker 1: do we have a doc or an epidemiologist who doesn't 498 00:28:42,040 --> 00:28:45,160 Speaker 1: have their pronouns and six Ukraine flags in their bio 499 00:28:45,200 --> 00:28:46,719 Speaker 1: who wants to weigh in on this that, by the way, 500 00:28:46,760 --> 00:28:48,520 Speaker 1: that's a barrier to entry on the front. If you 501 00:28:48,600 --> 00:28:51,880 Speaker 1: if you're an epidemiologist who double masks still and as 502 00:28:51,880 --> 00:28:54,760 Speaker 1: five Ukraine flags and their pronouns in the bio we 503 00:28:54,800 --> 00:28:56,160 Speaker 1: do not want to hear. But if we have a 504 00:28:56,200 --> 00:28:58,920 Speaker 1: normal epiddiologist out there who just wants to talk about 505 00:28:58,920 --> 00:29:04,080 Speaker 1: the science, orious about this original antigenic sin issue, this 506 00:29:04,240 --> 00:29:07,560 Speaker 1: concept that has talked about in real medicine, in real publications. 507 00:29:08,640 --> 00:29:12,280 Speaker 1: But Clay, I think that Democrats are hurt animals, or actually, 508 00:29:12,280 --> 00:29:15,480 Speaker 1: maybe more to the point, they're lemmings. So right now, 509 00:29:15,560 --> 00:29:17,360 Speaker 1: maybe they're not all moving over to the edge of 510 00:29:17,400 --> 00:29:19,960 Speaker 1: the cliff by getting their kids the vaccine that when 511 00:29:20,000 --> 00:29:23,280 Speaker 1: the authority says you must get them. I think those 512 00:29:23,280 --> 00:29:26,320 Speaker 1: little furry lemmings are going to run on mass as 513 00:29:26,320 --> 00:29:28,800 Speaker 1: soon as you start having states that mandated for kids. 514 00:29:29,080 --> 00:29:31,720 Speaker 1: New York will do it, California will do it if 515 00:29:32,080 --> 00:29:34,320 Speaker 1: we get to the mandate phase, which I wonder if 516 00:29:34,320 --> 00:29:37,120 Speaker 1: that will happen going into this mid term. As you 517 00:29:37,160 --> 00:29:40,000 Speaker 1: know by now, folks, I'm gonna engage, man. It's pretty exciting. 518 00:29:40,560 --> 00:29:43,080 Speaker 1: With that comes a lot of things, including the desire 519 00:29:43,120 --> 00:29:45,080 Speaker 1: to get in shape for my wedding day. So I've 520 00:29:45,080 --> 00:29:47,600 Speaker 1: been hitting the gym regularly for a few months. Clothings 521 00:29:47,600 --> 00:29:49,280 Speaker 1: fitting better, things are feeling good. But you know what 522 00:29:49,360 --> 00:29:51,320 Speaker 1: doesn't feel great? Those mornings I wake up with some 523 00:29:51,360 --> 00:29:53,240 Speaker 1: makes and pains my shoulder Right now. I don't know 524 00:29:53,280 --> 00:29:55,960 Speaker 1: if it's my laborum or what, but I've messed it up. 525 00:29:56,280 --> 00:29:58,240 Speaker 1: So I decided to do something about it and join 526 00:29:58,360 --> 00:30:01,240 Speaker 1: the thousands of you who have gotten great results from 527 00:30:01,360 --> 00:30:04,560 Speaker 1: Relief Factor. We're gonna call it Operation get Buck Relief 528 00:30:04,600 --> 00:30:07,440 Speaker 1: Factor Ready. I'm taking it now. You got to check 529 00:30:07,440 --> 00:30:09,680 Speaker 1: this stuff out for yourself. It helps so much. Relief 530 00:30:09,680 --> 00:30:12,960 Speaker 1: Factor has developed a quick Start pack. You take relief 531 00:30:12,960 --> 00:30:15,480 Speaker 1: Factor three times a day for three weeks at breakfast, lunch, 532 00:30:15,520 --> 00:30:17,760 Speaker 1: and dinner, and you'll know soon enough if it works 533 00:30:17,800 --> 00:30:20,200 Speaker 1: for you like it did for Mark in Texas, who 534 00:30:20,320 --> 00:30:23,719 Speaker 1: heard us talking about relief Factor. Four months after an 535 00:30:23,800 --> 00:30:27,360 Speaker 1: especially painful day dealing with his right shoulder, Mark decided 536 00:30:27,400 --> 00:30:30,280 Speaker 1: to order the quick Start pack. Mark writes, within two weeks, 537 00:30:30,280 --> 00:30:33,760 Speaker 1: the pain and tenderness in both my shoulders noticeably decreased. 538 00:30:34,120 --> 00:30:35,880 Speaker 1: Join them more than half a million people who have 539 00:30:35,920 --> 00:30:38,560 Speaker 1: had great results and order the three week Quickstart for 540 00:30:38,600 --> 00:30:41,520 Speaker 1: only nineteen ninety five. Go to relief Factor dot com 541 00:30:41,600 --> 00:30:45,040 Speaker 1: or call eight hundred four relief That's relief Factor dot 542 00:30:45,040 --> 00:30:50,400 Speaker 1: com or call eight hundred the number four relief. Welcome 543 00:30:50,400 --> 00:30:54,000 Speaker 1: back to Clay and backwinner. Remind you Riley Gaines, former 544 00:30:54,080 --> 00:30:57,760 Speaker 1: University of Kentucky swimmer, I'm gonna join us. She's speaking 545 00:30:57,800 --> 00:31:04,200 Speaker 1: out about the Thomas Woman of the Year Award for 546 00:31:04,280 --> 00:31:07,240 Speaker 1: the nomination right for the NC double A nominated about 547 00:31:07,240 --> 00:31:11,360 Speaker 1: the University of Pennsylvania. Yes, just a craven bending of 548 00:31:11,400 --> 00:31:14,400 Speaker 1: the knee to lunacy. She has some thoughts on that 549 00:31:14,440 --> 00:31:16,800 Speaker 1: as somebody who competed at the highest level of women's 550 00:31:16,840 --> 00:31:21,720 Speaker 1: actual women's as in women swimming in the NC double A. 551 00:31:21,840 --> 00:31:23,959 Speaker 1: So well, she'll be joining us in the middle of 552 00:31:24,000 --> 00:31:26,680 Speaker 1: the next hour, so definitely stick around for that. We 553 00:31:26,800 --> 00:31:29,160 Speaker 1: talked about this. It was it was uncanny timing. I 554 00:31:29,200 --> 00:31:34,040 Speaker 1: don't think that Billed a Blasio, the former worst mayor 555 00:31:34,080 --> 00:31:37,440 Speaker 1: in America. I know our Portland audience is like have 556 00:31:37,520 --> 00:31:40,680 Speaker 1: you met Ted Wheeler? I know people listening to Chicago 557 00:31:40,800 --> 00:31:42,840 Speaker 1: or like, have you heard of Lori Lightfoot? But I 558 00:31:43,080 --> 00:31:47,000 Speaker 1: would submit that build a Blasio in his time, he 559 00:31:47,120 --> 00:31:50,040 Speaker 1: was number one. If there is a goat of the 560 00:31:50,080 --> 00:31:53,920 Speaker 1: worst or I guess that would be the wote the worst, 561 00:31:54,800 --> 00:31:57,120 Speaker 1: worst of all time, worst of all time, right, yeah, 562 00:31:57,160 --> 00:32:00,320 Speaker 1: if the vote would be billed a Blasio the worst 563 00:32:00,360 --> 00:32:03,840 Speaker 1: of all time as a mayor. And this is a 564 00:32:03,880 --> 00:32:07,320 Speaker 1: guy who inherited a city that was just just doing 565 00:32:07,600 --> 00:32:12,560 Speaker 1: incredibly well from a financial crime and a financial standpoint, 566 00:32:12,600 --> 00:32:15,360 Speaker 1: crime standpoint everything. Anyway, he wanted to run. He ran 567 00:32:15,400 --> 00:32:17,840 Speaker 1: for president, which was laughable. Then he wanted to run 568 00:32:17,880 --> 00:32:20,440 Speaker 1: for Congress, and we were making fun of him, and 569 00:32:20,480 --> 00:32:22,240 Speaker 1: then he announced it wasn't going to work out. We 570 00:32:22,240 --> 00:32:25,200 Speaker 1: wanted you to do this. Savor this moment because here's 571 00:32:25,240 --> 00:32:27,760 Speaker 1: Bill the Blase, you having to admit, Yeah, it turns 572 00:32:27,760 --> 00:32:30,240 Speaker 1: out nobody likes me. In these last couple of months, 573 00:32:30,320 --> 00:32:33,920 Speaker 1: I have had this really amazing opportunity to spend time 574 00:32:33,920 --> 00:32:36,920 Speaker 1: with people in Brooklyn and Manhattan talking about their lives, 575 00:32:36,960 --> 00:32:40,160 Speaker 1: listening to New Yorkers everything they've been through and all 576 00:32:40,200 --> 00:32:44,320 Speaker 1: the amazing spirit people had brought fighting back after COVID. 577 00:32:44,480 --> 00:32:46,960 Speaker 1: It has made me more proud of the people of 578 00:32:47,000 --> 00:32:50,040 Speaker 1: the city than ever. And I've listened really carefully to people, 579 00:32:50,360 --> 00:32:54,000 Speaker 1: and it's clear to me that when it comes to 580 00:32:54,040 --> 00:32:57,320 Speaker 1: this congressional district, people are looking for another option, and 581 00:32:57,480 --> 00:33:01,320 Speaker 1: I respect that, and I just want to say I 582 00:33:01,480 --> 00:33:05,120 Speaker 1: love the people of this city. I really want to 583 00:33:05,200 --> 00:33:07,320 Speaker 1: keep serving, and I'm gonna find a different way to serve. 584 00:33:08,080 --> 00:33:11,600 Speaker 1: He's a bum. Okay, he's the worst. He's a joke. 585 00:33:12,040 --> 00:33:14,960 Speaker 1: He destroyed New York as much as he possibly could. 586 00:33:15,000 --> 00:33:19,239 Speaker 1: Clay I would say he was borderline psychopathic. In the 587 00:33:19,320 --> 00:33:23,640 Speaker 1: Glee he took of firing people from their jobs for 588 00:33:23,800 --> 00:33:27,360 Speaker 1: not getting a shot. That didn't do a damn thing. 589 00:33:27,400 --> 00:33:29,760 Speaker 1: They told us it would stop the spread. It didn't 590 00:33:29,760 --> 00:33:34,240 Speaker 1: do anything to stop the spread. I'm not sure there 591 00:33:34,280 --> 00:33:39,000 Speaker 1: has ever been It's a it's a fun debate. This 592 00:33:39,040 --> 00:33:42,880 Speaker 1: guy ran for president of the United States. He was 593 00:33:43,000 --> 00:33:48,080 Speaker 1: on the debate stage in twenty twenty thinking, Hey, there's 594 00:33:48,080 --> 00:33:51,920 Speaker 1: a huge demand for what I'm selling. I've done such 595 00:33:51,920 --> 00:33:54,600 Speaker 1: an incredible job in New York City. It's going to translate. Well, 596 00:33:55,600 --> 00:33:59,640 Speaker 1: he went all the way, all the way from running 597 00:33:59,640 --> 00:34:02,680 Speaker 1: for president of the United States to having to announce 598 00:34:02,760 --> 00:34:07,040 Speaker 1: buck that the tenth congressional district in New York so 599 00:34:07,120 --> 00:34:10,160 Speaker 1: overwhelmingly hated him that he wasn't even able to get 600 00:34:10,160 --> 00:34:12,920 Speaker 1: elected to Congress. I'm not sure that's ever happened before. 601 00:34:13,600 --> 00:34:16,600 Speaker 1: He is the worst, folks, the wote the worst of 602 00:34:16,640 --> 00:34:20,000 Speaker 1: all time. Build a Blasio. It is a real thing, 603 00:34:20,239 --> 00:34:22,480 Speaker 1: and he heard a lot of people. I mean, we 604 00:34:22,520 --> 00:34:23,960 Speaker 1: make fun of him, but he actually heard a lot 605 00:34:24,000 --> 00:34:30,719 Speaker 1: of people because he is a craven progressive maniac. All right, 606 00:34:30,960 --> 00:34:35,439 Speaker 1: we got a biologist calling in Mike in Wisconsin, has 607 00:34:35,480 --> 00:34:38,160 Speaker 1: some thoughts for us, and apparently does not have six 608 00:34:38,280 --> 00:34:45,040 Speaker 1: Ukraine flags in his email signature. Thanks for calling in, Mike. Yeah, 609 00:34:44,600 --> 00:34:50,160 Speaker 1: no Ukraine flag, so college biologist. So when you take 610 00:34:50,480 --> 00:34:55,879 Speaker 1: an m RNY strand and introduce it into your system, 611 00:34:55,920 --> 00:34:58,520 Speaker 1: what is happening is that m RNY is going to 612 00:34:58,520 --> 00:35:01,439 Speaker 1: transfer whatever it's coded for into your DNA, and now 613 00:35:01,560 --> 00:35:05,480 Speaker 1: your immune system is going to have a completely different response. 614 00:35:05,520 --> 00:35:10,920 Speaker 1: What we are doing by these shots is shutting down 615 00:35:11,760 --> 00:35:16,440 Speaker 1: all recognition of the newest strains or flues or whatever 616 00:35:16,640 --> 00:35:19,400 Speaker 1: is coming our way. And we are probably going to 617 00:35:19,480 --> 00:35:26,160 Speaker 1: see massive problems with you know, people being in hospitals 618 00:35:26,200 --> 00:35:30,520 Speaker 1: and and you name it. It's it's unfortunately it's coming 619 00:35:30,520 --> 00:35:33,319 Speaker 1: our way. I hate to put the tinfoil hat on, 620 00:35:33,400 --> 00:35:38,279 Speaker 1: but that's when you're messing with this type of technology. 621 00:35:38,320 --> 00:35:41,399 Speaker 1: I think this is it's it's fascinating. Isn't the main 622 00:35:41,520 --> 00:35:44,439 Speaker 1: issue here, like on its most baseline level of why 623 00:35:44,480 --> 00:35:48,560 Speaker 1: it's not working that we did not as a collective whole, 624 00:35:48,640 --> 00:35:53,239 Speaker 1: at least the experts expect for this COVID strain to 625 00:35:53,400 --> 00:35:56,440 Speaker 1: be able to mutate and for there to be as 626 00:35:56,480 --> 00:36:00,040 Speaker 1: many rapidly altering variants as we have seen. Now. You 627 00:36:00,040 --> 00:36:03,120 Speaker 1: could argue maybe we should have, but this would work 628 00:36:03,120 --> 00:36:06,200 Speaker 1: if the alpha version, Buck, I believe, had never really 629 00:36:06,239 --> 00:36:08,279 Speaker 1: turned into the beta, and if we weren't on the 630 00:36:08,360 --> 00:36:11,759 Speaker 1: BA five like the twentieth different version. But there is 631 00:36:11,880 --> 00:36:15,239 Speaker 1: literally no protection being offered in the first couple of 632 00:36:15,239 --> 00:36:18,080 Speaker 1: shots now because we're so far down the variant train 633 00:36:18,640 --> 00:36:21,160 Speaker 1: that we don't have the ability to address it with 634 00:36:21,160 --> 00:36:23,879 Speaker 1: the initial shots, which some people are still getting. Can 635 00:36:23,960 --> 00:36:29,440 Speaker 1: wopeness destroy our military of the future or our military 636 00:36:29,640 --> 00:36:32,640 Speaker 1: in the future. If you see the latest reporting on 637 00:36:32,680 --> 00:36:35,520 Speaker 1: how recruiting is going, it's a major concern. Clay and 638 00:36:35,560 --> 00:36:38,040 Speaker 1: I we'll talk to you about that, as well as 639 00:36:38,080 --> 00:36:41,560 Speaker 1: the shutdown of some Starbucks locations. The CEO speaking out 640 00:36:41,600 --> 00:36:44,759 Speaker 1: and Riley Gaines of the University of Kentucky on woke 641 00:36:44,840 --> 00:36:50,760 Speaker 1: swimmer stuff Fleet Travis and Buck Sexton on the front 642 00:36:50,840 --> 00:36:51,120 Speaker 1: lines