1 00:00:00,120 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,400 --> 00:00:07,400 Speaker 1: Sexton Show podcast. Welcome back in our number two Friday edition, 3 00:00:07,520 --> 00:00:10,680 Speaker 1: Clay Travis Buck Sexton Show. Appreciate all of you hanging 4 00:00:10,680 --> 00:00:15,400 Speaker 1: out with us. Buck is in Chicago out today. He 5 00:00:15,440 --> 00:00:19,160 Speaker 1: will be back on Monday. I am piloting the filing 6 00:00:19,200 --> 00:00:22,560 Speaker 1: the plane here solo, and we're gonna be joined. I 7 00:00:22,600 --> 00:00:24,760 Speaker 1: think now we got a couple of guests coming up. 8 00:00:24,800 --> 00:00:27,640 Speaker 1: Alex Berenson is with us. He used to be on Twitter, 9 00:00:27,680 --> 00:00:29,920 Speaker 1: he now is banned there. We talked about some of 10 00:00:29,920 --> 00:00:33,800 Speaker 1: the drama surrounding Elon musk potential acquisition of Twitter in 11 00:00:33,800 --> 00:00:36,519 Speaker 1: the first hour of the show. But Alex, first of all, 12 00:00:36,600 --> 00:00:39,479 Speaker 1: thanks for coming on. Second, I saw something that I 13 00:00:39,760 --> 00:00:41,920 Speaker 1: my jaw dropped, and I mentioned it to close the 14 00:00:41,960 --> 00:00:47,080 Speaker 1: first hour. CNN wrote an article acknowledging that many of 15 00:00:47,120 --> 00:00:51,440 Speaker 1: the people dying with COVID now have received both of 16 00:00:51,479 --> 00:00:54,520 Speaker 1: the COVID shots initial COVID shots. In fact that they 17 00:00:54,600 --> 00:00:59,000 Speaker 1: said almost half of the people dying with COVID in 18 00:00:59,120 --> 00:01:04,280 Speaker 1: January were double vaccinated for COVID. I don't know if 19 00:01:04,280 --> 00:01:07,120 Speaker 1: you read that article, but I imagine that the fact 20 00:01:07,200 --> 00:01:10,800 Speaker 1: that CNN is now writing this is just further validation 21 00:01:10,840 --> 00:01:17,479 Speaker 1: and vindication for the surrounding COVID vaccine story. Yes, I mean, 22 00:01:17,800 --> 00:01:20,440 Speaker 1: you know, people are starting to admit this and honestly 23 00:01:20,520 --> 00:01:24,039 Speaker 1: that those numbers are only going up. You know, I 24 00:01:24,120 --> 00:01:25,760 Speaker 1: have data that I'm going to put out on my 25 00:01:25,800 --> 00:01:29,440 Speaker 1: stub stack very soon. You know. One of the things 26 00:01:29,440 --> 00:01:31,559 Speaker 1: that's happening, by the way, is that because the data 27 00:01:31,600 --> 00:01:35,840 Speaker 1: is looking worse and worse for the vaccines, more jurisdictions, 28 00:01:35,920 --> 00:01:38,959 Speaker 1: more states and countries are starting to not report it. 29 00:01:39,360 --> 00:01:41,679 Speaker 1: They're starting to not report these sort of weekly or 30 00:01:41,720 --> 00:01:43,960 Speaker 1: monthly numbers. I mean, in the US the data has 31 00:01:43,959 --> 00:01:46,839 Speaker 1: always been kind of scatter shut. But even in place 32 00:01:46,880 --> 00:01:49,960 Speaker 1: like the UK, they stopped reporting it. But there are 33 00:01:50,000 --> 00:01:54,080 Speaker 1: still places that are reporting it. And for example, in 34 00:01:54,080 --> 00:01:57,840 Speaker 1: in British Columbia, where there's very sort of up to 35 00:01:57,960 --> 00:02:03,520 Speaker 1: date data, almost everyone who died has been vaccinated and 36 00:02:03,600 --> 00:02:06,360 Speaker 1: boosted in the last month. I'm talking about not January, 37 00:02:06,440 --> 00:02:09,840 Speaker 1: but in the last month, um, fewer than ten percent 38 00:02:09,840 --> 00:02:14,200 Speaker 1: of the people who died were unvaccinated. So the vaccine Yeah, yeah, 39 00:02:14,240 --> 00:02:17,880 Speaker 1: and I'm gonna it's it's amazing actually, um. And so 40 00:02:18,160 --> 00:02:21,280 Speaker 1: the vaccine efficacy looks like it's pretty close to zero 41 00:02:21,400 --> 00:02:28,720 Speaker 1: right now against infection and against serious outcomes form. You know, listen, 42 00:02:28,760 --> 00:02:31,760 Speaker 1: the vaccines were always not what they were cracked up 43 00:02:31,760 --> 00:02:35,200 Speaker 1: to be, but Amacon appears to have made them basically useful. 44 00:02:35,919 --> 00:02:41,359 Speaker 1: So if the vaccines are truly basically useless, what does 45 00:02:41,400 --> 00:02:44,320 Speaker 1: that tell us about where we are headed in the 46 00:02:44,400 --> 00:02:48,720 Speaker 1: summer and the fall of twenty twenty two? From your perspective, Yeah, 47 00:02:48,760 --> 00:02:51,200 Speaker 1: you know, that's that's a really good question, and I'm 48 00:02:51,200 --> 00:02:52,960 Speaker 1: not I'm not going to try to duck it. I 49 00:02:52,960 --> 00:02:56,560 Speaker 1: don't think we know because it depends on two crucial things. 50 00:02:56,639 --> 00:02:59,400 Speaker 1: One is, are we going to get another variant that's 51 00:02:59,480 --> 00:03:03,360 Speaker 1: worse than amacon? Isn't isn't that dangerous? Right? It is? 52 00:03:03,520 --> 00:03:07,320 Speaker 1: It is very virulent, but it isn't. I mean, I'm sorry, 53 00:03:07,320 --> 00:03:10,200 Speaker 1: it is very contagious, but it isn't that virent. So 54 00:03:10,280 --> 00:03:12,400 Speaker 1: you see these numbers showing that that you know a 55 00:03:12,480 --> 00:03:17,720 Speaker 1: huge number of children, for example, have antibodies. Now is 56 00:03:17,760 --> 00:03:21,520 Speaker 1: the CDC data that's right? So are do those kids 57 00:03:21,560 --> 00:03:24,720 Speaker 1: have protection? Now? What about adults? Do we have protection? 58 00:03:25,240 --> 00:03:29,440 Speaker 1: And knowing that question is also very complicated because for 59 00:03:29,520 --> 00:03:32,639 Speaker 1: people who weren't vaccinated, you probably have pretty good post 60 00:03:32,680 --> 00:03:38,640 Speaker 1: infection protection, but the vaccinations may actually hamper that process. Um, 61 00:03:38,880 --> 00:03:41,960 Speaker 1: you have fewer anti n antibodies, which is a which 62 00:03:42,000 --> 00:03:44,200 Speaker 1: is a different part of the virus actually, and not 63 00:03:44,240 --> 00:03:47,200 Speaker 1: having those may hurt you going forward. So so so 64 00:03:47,240 --> 00:03:49,560 Speaker 1: that that's a question we don't know. And then the 65 00:03:49,560 --> 00:03:51,880 Speaker 1: other question we don't know, which is potentially even more important, 66 00:03:52,000 --> 00:03:54,480 Speaker 1: is how bad is the next thing going to be? 67 00:03:54,600 --> 00:03:57,200 Speaker 1: Will it be like Amicon or will it be you know, 68 00:03:57,280 --> 00:04:00,520 Speaker 1: more like Delta where it is actually somewhat more dangerous 69 00:04:00,560 --> 00:04:03,560 Speaker 1: to people. So and I don't think anybody can know 70 00:04:03,680 --> 00:04:07,440 Speaker 1: that either. Um, what I would here's the two points 71 00:04:07,440 --> 00:04:09,000 Speaker 1: that I would make that I can say with certain. 72 00:04:09,200 --> 00:04:12,320 Speaker 1: One is the people who should be doing the research 73 00:04:12,520 --> 00:04:16,680 Speaker 1: about this are very incentivized not to do it right 74 00:04:16,760 --> 00:04:19,960 Speaker 1: because it all comes down to the same question, which 75 00:04:20,040 --> 00:04:23,680 Speaker 1: is how badly have the vaccines sailed us? And that 76 00:04:23,880 --> 00:04:26,920 Speaker 1: is a question that they don't want to answer. So 77 00:04:26,920 --> 00:04:29,680 Speaker 1: so unless things get really bad, which you can sort 78 00:04:29,680 --> 00:04:32,160 Speaker 1: of expect, is the data is just gonna you know, 79 00:04:32,200 --> 00:04:34,880 Speaker 1: the data spigot is slowly going to turn off, and 80 00:04:34,960 --> 00:04:38,000 Speaker 1: so the same you know, and the second question is like, 81 00:04:38,240 --> 00:04:40,240 Speaker 1: why can't we have an honest I mean it's related, 82 00:04:40,240 --> 00:04:42,240 Speaker 1: but why can't we have an honest conversation about this? 83 00:04:42,279 --> 00:04:45,440 Speaker 1: And again, the answer is the same, because an honest 84 00:04:45,440 --> 00:04:48,760 Speaker 1: conversation would acknowledge that the vaccines basically have sailed. But 85 00:04:48,800 --> 00:04:51,400 Speaker 1: you're but here's the thing, but you're seeing the reality 86 00:04:51,520 --> 00:04:55,440 Speaker 1: of this in that almost nobody is getting a second 87 00:04:55,600 --> 00:04:58,400 Speaker 1: boost or a force shot. You're seeing the reality in 88 00:04:58,440 --> 00:05:02,200 Speaker 1: the idea of vaccine mandates for kids is just completely 89 00:05:02,200 --> 00:05:05,080 Speaker 1: off the table. So this is and by the way, 90 00:05:05,080 --> 00:05:07,719 Speaker 1: the stock prices, you know, especially of Maderna, which is 91 00:05:07,720 --> 00:05:11,960 Speaker 1: sort of the surest vaccine company, I mean these companies. 92 00:05:12,240 --> 00:05:14,520 Speaker 1: Maderna a couple days ago was near it was at 93 00:05:14,520 --> 00:05:18,000 Speaker 1: a one year low. So people and you're seeing you're 94 00:05:18,000 --> 00:05:21,719 Speaker 1: seeing hundreds of millions of vaccine does in cold storage 95 00:05:21,760 --> 00:05:25,320 Speaker 1: in the United States. People just are not getting vaccinated 96 00:05:25,440 --> 00:05:29,279 Speaker 1: right now. So Johnson and john we're talking to Alex Berenson, 97 00:05:29,360 --> 00:05:32,320 Speaker 1: who has been one of the foremost purveyors of what 98 00:05:32,400 --> 00:05:36,520 Speaker 1: I would say is truth surrounding this COVID disinformation brigade. 99 00:05:36,960 --> 00:05:41,800 Speaker 1: Johnson and Johnson essentially pulled the FDA, essentially pulled the 100 00:05:41,880 --> 00:05:45,960 Speaker 1: Johnson and Johnson vaccine. That was the one shot version 101 00:05:46,040 --> 00:05:49,640 Speaker 1: that tens of millions of people got. Yes, that is 102 00:05:49,680 --> 00:05:53,840 Speaker 1: that totally reflected in the data, that the J and 103 00:05:53,960 --> 00:05:56,560 Speaker 1: J is worse than Maderna or Fizer or is this 104 00:05:56,600 --> 00:05:59,160 Speaker 1: like a finger in the damn to acknowledge the J 105 00:05:59,320 --> 00:06:02,160 Speaker 1: and J issue us while pretending that Maderna Advisor there 106 00:06:02,160 --> 00:06:05,800 Speaker 1: are no issues. UM, I think it's the latter. Uh, 107 00:06:05,800 --> 00:06:09,120 Speaker 1: there's there's no evidence that J and J is broadly 108 00:06:09,200 --> 00:06:13,159 Speaker 1: more dangerous than Maderna or Visor. And in fact, as 109 00:06:13,200 --> 00:06:17,440 Speaker 1: as a data scientists pointed out a few days ago, 110 00:06:17,839 --> 00:06:20,920 Speaker 1: and this was an amazing thing. If you look at 111 00:06:21,080 --> 00:06:25,039 Speaker 1: the uh, the data from the clinical trials, right, which 112 00:06:25,080 --> 00:06:29,040 Speaker 1: is the best data. It's the only clean data we have. UM. 113 00:06:29,200 --> 00:06:31,680 Speaker 1: And unfortunately, you know, the clinical trials were cut short 114 00:06:32,720 --> 00:06:35,680 Speaker 1: last year when when the companies gave everybody in the 115 00:06:35,720 --> 00:06:39,320 Speaker 1: placebo arm the vaccines. We don't have clean clinical trial anymore. 116 00:06:39,320 --> 00:06:41,039 Speaker 1: But if you go back and you look at the 117 00:06:41,080 --> 00:06:45,599 Speaker 1: initial cut of data that was clean, there was no UM, 118 00:06:46,240 --> 00:06:49,880 Speaker 1: there was no advantage in all cause mortality on the 119 00:06:49,960 --> 00:06:52,919 Speaker 1: vaccine side in the Maderna and Visor trials. So now 120 00:06:53,120 --> 00:06:56,080 Speaker 1: if you got the Maderna vaccine. If or if you 121 00:06:56,200 --> 00:06:58,919 Speaker 1: got the FISA vaccine, you were just as likely to 122 00:06:59,000 --> 00:07:02,159 Speaker 1: die of anything of a heart attack or COVID or 123 00:07:02,160 --> 00:07:05,200 Speaker 1: a car accident or anything else as if you got 124 00:07:05,200 --> 00:07:08,400 Speaker 1: a placebo. That was not true of Jane Jay or 125 00:07:08,480 --> 00:07:11,840 Speaker 1: the Astrosennica vaccine, which works like the James J vaccine. 126 00:07:12,120 --> 00:07:16,080 Speaker 1: In those there was actually a notable advantage for people 127 00:07:16,360 --> 00:07:19,040 Speaker 1: who got the vaccine, and there was a vaccine actually 128 00:07:19,040 --> 00:07:22,040 Speaker 1: seemed to protect people from dying broadly, which is what 129 00:07:22,040 --> 00:07:24,280 Speaker 1: you would hope a vaccine would do. Now, we don't 130 00:07:24,360 --> 00:07:27,360 Speaker 1: know what that really means. We don't know why that 131 00:07:27,480 --> 00:07:29,920 Speaker 1: might have been. It might have been a statistical anomaly, 132 00:07:29,960 --> 00:07:33,040 Speaker 1: it might have been we don't know. Okay, But but 133 00:07:33,480 --> 00:07:36,120 Speaker 1: when you when you when you hear that, when you 134 00:07:36,200 --> 00:07:39,720 Speaker 1: hear hey, the vaccine actually seemed to be protective for 135 00:07:39,800 --> 00:07:42,720 Speaker 1: Jay and Ja, but not for you know, not in 136 00:07:42,800 --> 00:07:45,640 Speaker 1: the Astros say not in the Maderna or Finder travels. 137 00:07:45,800 --> 00:07:47,520 Speaker 1: You said yourself, why would they pull up to Jane 138 00:07:47,560 --> 00:07:52,000 Speaker 1: j vaccine and let the others continue? I don't know it. 139 00:07:52,120 --> 00:07:55,720 Speaker 1: So how would the media be covering as we approach 140 00:07:55,760 --> 00:07:58,800 Speaker 1: a million deaths with COVID, which is its own story. 141 00:07:58,800 --> 00:08:01,360 Speaker 1: And I keep saying with COVID because obviously many of 142 00:08:01,360 --> 00:08:04,360 Speaker 1: these people dying have a variety of comorbidities and may 143 00:08:04,400 --> 00:08:07,040 Speaker 1: have died otherwise. And we're now in three years worth 144 00:08:07,040 --> 00:08:10,560 Speaker 1: of taling all these numbers. If Donald Trump had one 145 00:08:10,640 --> 00:08:14,560 Speaker 1: reelection in twenty twenty and we're still in office and 146 00:08:14,760 --> 00:08:18,000 Speaker 1: everything else is the exact same in terms of the 147 00:08:18,080 --> 00:08:21,320 Speaker 1: COVID shots that are being delivered Johnson and Johnson being 148 00:08:21,360 --> 00:08:25,480 Speaker 1: pulled by the FDA, how would the media be covering, 149 00:08:25,640 --> 00:08:28,840 Speaker 1: in your opinion, these COVID shots if Trump were in 150 00:08:28,960 --> 00:08:32,800 Speaker 1: office compared to Biden. You know, that is a great question. 151 00:08:32,880 --> 00:08:36,160 Speaker 1: I think you would. You would be hearing rush trials. 152 00:08:36,280 --> 00:08:39,000 Speaker 1: You would be hearing the vaccines did not work as promised. 153 00:08:39,320 --> 00:08:43,400 Speaker 1: You would be hearing we've spent you know, billions and 154 00:08:43,400 --> 00:08:45,560 Speaker 1: billions of dollars on vaccines that look like they will 155 00:08:45,600 --> 00:08:49,600 Speaker 1: never be used. You would be hearing, you know, there's 156 00:08:49,600 --> 00:08:52,439 Speaker 1: a promise that these would be updated quickly against new variants, 157 00:08:52,440 --> 00:08:55,040 Speaker 1: and that didn't work. You'd been hearing we don't know 158 00:08:55,080 --> 00:08:58,880 Speaker 1: what the long term effects on immunity are, because you know, 159 00:08:58,880 --> 00:09:01,400 Speaker 1: we see that people don't seem to be developing broad 160 00:09:01,440 --> 00:09:04,839 Speaker 1: immunity afterwards, you'd be hearing, why are there's so many reinfections? 161 00:09:05,280 --> 00:09:08,600 Speaker 1: You'd been hearing, why is it now that every time 162 00:09:08,640 --> 00:09:11,400 Speaker 1: somebody gets a fourth dose, they you know, they immediately 163 00:09:11,440 --> 00:09:14,840 Speaker 1: seem to come down with amicron. I mean, I think 164 00:09:14,880 --> 00:09:18,400 Speaker 1: the perspective, you're hearing everything, and I'm asking, Okay, yeah, 165 00:09:18,480 --> 00:09:21,920 Speaker 1: everyport right, right. I would not be the only reporter 166 00:09:22,040 --> 00:09:25,040 Speaker 1: in the media would use the COVID shots as a 167 00:09:25,080 --> 00:09:28,560 Speaker 1: proxy to attack Donald Trump if he were still in 168 00:09:28,679 --> 00:09:32,640 Speaker 1: office and everything else were the exact same. Instead, the 169 00:09:32,720 --> 00:09:36,560 Speaker 1: media uses the COVID shots as a proxy to support people, 170 00:09:37,160 --> 00:09:40,600 Speaker 1: to attack people who supported Donald Trump, right, who may 171 00:09:40,640 --> 00:09:43,120 Speaker 1: be choosing not to get the COVID shot. It's really 172 00:09:43,160 --> 00:09:45,360 Speaker 1: remarkable to think about, and I think it's important to 173 00:09:45,640 --> 00:09:48,840 Speaker 1: to bring that to light. Okay, yeah, other, Yeah, the 174 00:09:48,880 --> 00:09:51,360 Speaker 1: other thing I'm really curious. Yeah, you would hear, you 175 00:09:51,400 --> 00:09:54,439 Speaker 1: would hear most of all you said it. Actually, you'd hear, 176 00:09:54,559 --> 00:09:56,640 Speaker 1: why is it that we're in year three of this 177 00:09:56,880 --> 00:09:59,680 Speaker 1: and there's been a million deaths with slash from COVID. 178 00:09:59,720 --> 00:10:03,400 Speaker 1: Why if we had more deaths post vaccines than pre 179 00:10:03,960 --> 00:10:07,360 Speaker 1: That's what you'd be hearing. Yeah, And frankly, nobody's blaming 180 00:10:07,440 --> 00:10:10,920 Speaker 1: Joe Biden for a million COVID deaths. Everybody blamed Donald 181 00:10:11,000 --> 00:10:13,680 Speaker 1: Trump for a couple of hundred thousand COVID deaths, and 182 00:10:13,720 --> 00:10:16,400 Speaker 1: now we've had hundreds of thousands of more, and nobody's like, oh, 183 00:10:16,400 --> 00:10:18,200 Speaker 1: this is Joe Biden's fault. They tried to hang that 184 00:10:18,280 --> 00:10:20,680 Speaker 1: on Trump to cost him the twenty twenty election. Now, 185 00:10:21,320 --> 00:10:25,720 Speaker 1: China is still staying committed alex to the COVID zero policy, 186 00:10:26,280 --> 00:10:29,600 Speaker 1: and their COVID zero policy has obviously led to draconian 187 00:10:29,679 --> 00:10:32,520 Speaker 1: lockdowns in Shanghai. There's been fears about what might happen 188 00:10:32,520 --> 00:10:37,440 Speaker 1: in Beijing. How tenable is this COVID zero policy of 189 00:10:37,520 --> 00:10:41,200 Speaker 1: Chairman Z in China and where in the world is 190 00:10:41,280 --> 00:10:44,400 Speaker 1: that heading so far as you can tell, I mean, 191 00:10:44,400 --> 00:10:45,959 Speaker 1: that's a great question. You know, a month ago, I 192 00:10:46,000 --> 00:10:48,400 Speaker 1: would have said it's impossible. You know, the acons just 193 00:10:48,480 --> 00:10:52,400 Speaker 1: too you know, it's too contagious. They appear to be 194 00:10:52,440 --> 00:10:54,800 Speaker 1: able to knock it down in these you know, in 195 00:10:55,800 --> 00:10:59,600 Speaker 1: short term, you know, with this draconium lockdowns, I mean 196 00:11:00,080 --> 00:11:03,200 Speaker 1: cases have gone down. You have not seen this, assuming 197 00:11:03,200 --> 00:11:05,600 Speaker 1: they're being honest about the numbers, which is always a 198 00:11:05,640 --> 00:11:08,120 Speaker 1: caveat I think we have to toss out right, But 199 00:11:08,160 --> 00:11:10,120 Speaker 1: it's you know, if they're not, then why would they 200 00:11:10,120 --> 00:11:12,400 Speaker 1: have announced what had happened in Shanghai to begin with. 201 00:11:12,600 --> 00:11:15,360 Speaker 1: So yeah, right, it's it's weird, Like I mean, I 202 00:11:15,400 --> 00:11:18,199 Speaker 1: think it's a terrible strategy. Obviously, it's a terrible strategy 203 00:11:18,240 --> 00:11:20,880 Speaker 1: in general. It's certainly terrible strategy as Amicron, which is 204 00:11:20,960 --> 00:11:25,360 Speaker 1: less dangerous. And at some point, unless you're gonna live 205 00:11:25,400 --> 00:11:28,560 Speaker 1: like this forever, you're gonna you're gonna have to, you know, 206 00:11:28,679 --> 00:11:32,280 Speaker 1: take the you know, take the restrictions off and let 207 00:11:32,280 --> 00:11:37,360 Speaker 1: people get this and live with it. But but they don't. Look, 208 00:11:37,400 --> 00:11:39,120 Speaker 1: I have no idea what because they're the mind of 209 00:11:39,120 --> 00:11:42,400 Speaker 1: a dictator. I have no idea why, you know, Vladimir 210 00:11:42,480 --> 00:11:45,440 Speaker 1: Putin decided to invade Ukraine. I have no idea why 211 00:11:45,480 --> 00:11:48,200 Speaker 1: they're doing what they're doing. But they do appear committed 212 00:11:48,240 --> 00:11:50,120 Speaker 1: to it. And I have to say that what happened 213 00:11:50,120 --> 00:11:53,920 Speaker 1: in Shanghai actually it's likely to just reinforce that because 214 00:11:53,960 --> 00:11:57,560 Speaker 1: they did knock it down. What else should Well, let 215 00:11:57,559 --> 00:11:59,960 Speaker 1: me ask you this before I'll close with a COVID question. 216 00:12:00,000 --> 00:12:02,640 Speaker 1: And I'm curious. Elon Musk came out and said he 217 00:12:02,679 --> 00:12:05,120 Speaker 1: thinks Donald Trump should be allowed back on Twitter. I 218 00:12:05,160 --> 00:12:08,000 Speaker 1: would presume that that would work well for your likelihood 219 00:12:08,000 --> 00:12:10,520 Speaker 1: of being allowed back on Twitter as well. Have you 220 00:12:10,520 --> 00:12:13,160 Speaker 1: gotten any indications, and I know there's a lot of 221 00:12:13,559 --> 00:12:18,040 Speaker 1: still turmoil about whether Elon Musk will buy Twitter effectively 222 00:12:18,120 --> 00:12:21,160 Speaker 1: and the stock prices is jockeying a lot today. Have 223 00:12:21,240 --> 00:12:23,840 Speaker 1: you gotten any indication that you would be allowed back 224 00:12:23,880 --> 00:12:27,520 Speaker 1: on Twitter and an Elon must owned company. No, I 225 00:12:27,520 --> 00:12:29,400 Speaker 1: have not, and I have not. You know, he has 226 00:12:29,440 --> 00:12:33,960 Speaker 1: not contacted me. You know, I've sued Twitter, and my 227 00:12:34,040 --> 00:12:37,240 Speaker 1: lawsuit is proceeding, you know, my lawsuit to survive as 228 00:12:37,240 --> 00:12:40,440 Speaker 1: the motion to dismiss, which is something not a lot 229 00:12:40,440 --> 00:12:43,560 Speaker 1: of people know because the media has essentially blacked it out. 230 00:12:43,640 --> 00:12:46,199 Speaker 1: I mean, the mainstream media has refused to report on 231 00:12:46,240 --> 00:12:48,400 Speaker 1: the fact that you know, Trump versus Twitter got dismissed, 232 00:12:48,559 --> 00:12:51,600 Speaker 1: but parents and versus Twitter did not. And so I'm 233 00:12:51,640 --> 00:12:54,480 Speaker 1: going to get discovery that's going to allow me to 234 00:12:54,559 --> 00:12:58,960 Speaker 1: understand how Twitter, you know, worked with or didn't work 235 00:12:59,000 --> 00:13:03,120 Speaker 1: with the government. Yeah, to stand me and so so 236 00:13:03,240 --> 00:13:06,599 Speaker 1: I mean, I'm very excited to know, you know, to 237 00:13:06,960 --> 00:13:10,400 Speaker 1: have that chance, and I don't know what the discovery 238 00:13:10,400 --> 00:13:13,440 Speaker 1: will say. That's what it's called discovery. But we'll find out. 239 00:13:13,840 --> 00:13:15,520 Speaker 1: So I mean, from from my point of where, there 240 00:13:15,559 --> 00:13:18,080 Speaker 1: isn't even bigger issue here, which is that my free 241 00:13:18,120 --> 00:13:21,000 Speaker 1: speech rights should not be dependent on Elon musk Okay, 242 00:13:21,040 --> 00:13:23,839 Speaker 1: even if he's and you know, Tesla does a lot 243 00:13:23,840 --> 00:13:27,480 Speaker 1: of business in China, you know Elon. Look, let's let's 244 00:13:27,520 --> 00:13:29,960 Speaker 1: assume the best for Elon. Let's assume that he actually 245 00:13:30,040 --> 00:13:32,839 Speaker 1: means everything he says about free speech. It doesn't matter. 246 00:13:33,240 --> 00:13:38,040 Speaker 1: That's my right as an American. And you know California 247 00:13:38,080 --> 00:13:41,240 Speaker 1: law of the California Constitution. There's lots of reasons that 248 00:13:41,320 --> 00:13:44,160 Speaker 1: I should be allowed to speak freely on this incredibly 249 00:13:44,240 --> 00:13:48,320 Speaker 1: important platform. And that's what I'm fighting for. And you know, 250 00:13:48,400 --> 00:13:52,400 Speaker 1: this lawsuit is moving forward and we'll see what happens. Okay, 251 00:13:52,440 --> 00:13:54,080 Speaker 1: you mentioned the data that you're going to share at 252 00:13:54,120 --> 00:13:56,480 Speaker 1: your sub stack, which I would encourage people to subscribe 253 00:13:56,559 --> 00:13:59,440 Speaker 1: and or read. You can read Alex Barns in there. 254 00:14:00,000 --> 00:14:03,000 Speaker 1: What else do you think people should know about the 255 00:14:03,080 --> 00:14:06,280 Speaker 1: latest in data and or discussion as it pertains to 256 00:14:06,360 --> 00:14:09,920 Speaker 1: COVID right now? I just think I mean the number 257 00:14:09,960 --> 00:14:12,800 Speaker 1: one thing is this idea that the vaccines really are 258 00:14:13,760 --> 00:14:17,520 Speaker 1: you know they have they are demonstrating zero efficacy, certainly 259 00:14:17,640 --> 00:14:21,480 Speaker 1: zero efficacy against infection and transmission, if anything, negative efficacy. 260 00:14:21,640 --> 00:14:25,520 Speaker 1: And you know, I mean, I don't think anybody who 261 00:14:25,520 --> 00:14:27,760 Speaker 1: listens to you is lining up at this point for 262 00:14:27,880 --> 00:14:30,960 Speaker 1: a booster or a second booster. But I don't know 263 00:14:31,000 --> 00:14:34,880 Speaker 1: why anybody would do that. And so you know that 264 00:14:34,880 --> 00:14:37,440 Speaker 1: that's I think where we are it hasn't changed that much. 265 00:14:37,520 --> 00:14:40,520 Speaker 1: We will see what happens this summer in the Southern States, 266 00:14:40,560 --> 00:14:43,040 Speaker 1: if there's another Southern sturge, and what that looks like. 267 00:14:43,280 --> 00:14:45,480 Speaker 1: And by the way, just to continue to reiterate, you've 268 00:14:45,520 --> 00:14:48,040 Speaker 1: got young kids. I've got young kids. We haven't gotten 269 00:14:48,080 --> 00:14:50,960 Speaker 1: them COVID shots. It would be crazy in your opinion, 270 00:14:51,040 --> 00:14:52,800 Speaker 1: based on the data that you look at, to be 271 00:14:52,880 --> 00:14:56,040 Speaker 1: getting young kids COVID shots, particularly because five percent of 272 00:14:56,120 --> 00:14:59,560 Speaker 1: them have already had it. Crazy it is, and that 273 00:14:59,720 --> 00:15:01,720 Speaker 1: is a rate point. And you know there's a if 274 00:15:01,760 --> 00:15:05,000 Speaker 1: you go on lefty Twitter epithemiology, you know Twitter, you 275 00:15:05,040 --> 00:15:07,240 Speaker 1: see these people. You know, we can't wait for the 276 00:15:07,320 --> 00:15:10,240 Speaker 1: FDA to you know, to approve the shots for people 277 00:15:10,360 --> 00:15:13,120 Speaker 1: for kids under five. Look even If that happens, I 278 00:15:13,160 --> 00:15:15,040 Speaker 1: can tell you it's going to be like five or 279 00:15:15,080 --> 00:15:16,960 Speaker 1: ten percent of the country that does that. Now, they're 280 00:15:17,000 --> 00:15:18,400 Speaker 1: going to be all the people you know who work 281 00:15:18,480 --> 00:15:21,560 Speaker 1: for the New York Times, you know, so you'll hear 282 00:15:21,560 --> 00:15:23,960 Speaker 1: about it. But don't keep yourself, you know, don't be fooled. 283 00:15:24,040 --> 00:15:26,520 Speaker 1: Like no one is getting their young children's vaccinated against 284 00:15:26,520 --> 00:15:29,400 Speaker 1: there's nobody with any sense as well. They shouldn't Alex Berenson, 285 00:15:29,440 --> 00:15:32,120 Speaker 1: We appreciate the time. Go check out the substack for Alex. 286 00:15:32,200 --> 00:15:34,520 Speaker 1: He does phenomenal work there. We'll talk to you again soon. 287 00:15:37,240 --> 00:15:39,040 Speaker 1: That was Alex. I want to tell you so many 288 00:15:39,040 --> 00:15:42,120 Speaker 1: Americans suffer from pain because of inflammation. It can happen 289 00:15:42,200 --> 00:15:45,160 Speaker 1: from too much exercise, too much exertion, or how about 290 00:15:45,160 --> 00:15:49,120 Speaker 1: if your work just requires a lot of movement. Also aging, unfortunately, 291 00:15:49,120 --> 00:15:52,600 Speaker 1: getting old leads to pain as well. If that's you 292 00:15:52,680 --> 00:15:55,680 Speaker 1: and you're still seeking a solution, how about relief Factor. 293 00:15:56,000 --> 00:15:59,280 Speaker 1: Buck's dad takes it, My wife takes it. Four key ingredients. 294 00:15:59,360 --> 00:16:02,800 Speaker 1: Relief Factor one hundred percent drug free product which addresses 295 00:16:02,920 --> 00:16:06,800 Speaker 1: joint pain. That's where painful inflammation feels the worst, and 296 00:16:06,880 --> 00:16:09,120 Speaker 1: your knees and your hips and your back and shoulders. 297 00:16:09,480 --> 00:16:12,440 Speaker 1: Hundreds of thousands of people have ordered relief Factor. Nearly 298 00:16:12,560 --> 00:16:15,320 Speaker 1: seventy percent of them go on to order more. 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But again, I just want all of you 316 00:17:19,800 --> 00:17:24,640 Speaker 1: to be thinking, what would the media be saying if 317 00:17:24,680 --> 00:17:27,919 Speaker 1: Donald Trump were still in office and everything else was 318 00:17:27,920 --> 00:17:30,720 Speaker 1: the exact same with COVID. Think about how much Donald 319 00:17:30,760 --> 00:17:34,600 Speaker 1: Trump got blamed for everyone who died with COVID in 320 00:17:34,760 --> 00:17:38,680 Speaker 1: the presidential run up. Remember, Joe Biden said any president 321 00:17:38,720 --> 00:17:41,400 Speaker 1: that was in office when two hundred and twenty thousand 322 00:17:41,440 --> 00:17:44,440 Speaker 1: people died didn't deserve to stay in office. He said 323 00:17:44,440 --> 00:17:47,119 Speaker 1: that in the debate. Well, Joe Biden is now in 324 00:17:47,240 --> 00:17:51,679 Speaker 1: office and over a million people have died with COVID. 325 00:17:51,760 --> 00:17:54,159 Speaker 1: Now you'll note that I'm still saying died with COVID 326 00:17:54,200 --> 00:17:58,280 Speaker 1: because I think that how many of them exclusively died 327 00:17:58,280 --> 00:18:00,680 Speaker 1: of COVID. That is a conversation. We may never know, 328 00:18:01,320 --> 00:18:04,160 Speaker 1: but it is amazing to think about the difference in treatments. 329 00:18:04,160 --> 00:18:06,479 Speaker 1: The media is provided. A lot of us spend a 330 00:18:06,520 --> 00:18:09,680 Speaker 1: ton of time in our offices right now, in particular 331 00:18:10,000 --> 00:18:12,760 Speaker 1: sitting in chairs, and the difference between a good chair 332 00:18:12,840 --> 00:18:14,920 Speaker 1: and a bad chair, especially with all the home offices 333 00:18:15,000 --> 00:18:18,320 Speaker 1: out there, is massive. 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The website 344 00:18:46,920 --> 00:18:51,440 Speaker 1: address one more time X chairclay dot com. Go there today, 345 00:18:51,600 --> 00:19:00,800 Speaker 1: hundred dollars off X chairclay dot com. We welcome back 346 00:19:00,800 --> 00:19:04,400 Speaker 1: in Clay Travis buck Sexton show. We're having a good time. 347 00:19:04,440 --> 00:19:07,159 Speaker 1: On Friday the thirteenth. We bring in one of the 348 00:19:07,240 --> 00:19:10,200 Speaker 1: really talented young writers who is doing good work every 349 00:19:10,200 --> 00:19:13,800 Speaker 1: single day at the website that I sold to Fox 350 00:19:14,160 --> 00:19:17,119 Speaker 1: last year, almost a year to this day, OutKick dot com. 351 00:19:17,160 --> 00:19:19,600 Speaker 1: I'd encourage you to add it to your repertoire places 352 00:19:19,640 --> 00:19:22,399 Speaker 1: that you go visit if you're looking for sanity in 353 00:19:22,440 --> 00:19:26,320 Speaker 1: an insane world. But Bobby, I want to start with this. 354 00:19:26,440 --> 00:19:28,959 Speaker 1: It's Friday the thirteenth. You haven't been prepped on this. 355 00:19:29,760 --> 00:19:32,480 Speaker 1: Is there a scary movie that, to you is the 356 00:19:32,560 --> 00:19:34,960 Speaker 1: greatest of all scary movies. Like, if you had to 357 00:19:35,000 --> 00:19:38,280 Speaker 1: watch a scary movie tonight, which one would you pick? 358 00:19:38,280 --> 00:19:43,760 Speaker 1: And why? So the answer has to be the Shining Clay, right, 359 00:19:43,840 --> 00:19:46,840 Speaker 1: because out of all the goofy characters that we've seen 360 00:19:46,840 --> 00:19:51,560 Speaker 1: in horror movies, nobody's been more authentically terrifying than a 361 00:19:51,720 --> 00:19:55,080 Speaker 1: crazy Jack Nicholson that stuck in that lodge all winter. 362 00:19:55,440 --> 00:19:58,040 Speaker 1: So to me, when he's chasing after his family with 363 00:19:58,119 --> 00:20:01,119 Speaker 1: the acts and stuff, you turn all the light stuff, 364 00:20:01,640 --> 00:20:04,520 Speaker 1: nothing's more terrifying than that. And I say that as 365 00:20:04,560 --> 00:20:08,280 Speaker 1: someone that saw Conjuring opening night in the theaters at 366 00:20:08,280 --> 00:20:11,000 Speaker 1: all the school. Oh yeah, what everybody? When everybody started 367 00:20:11,040 --> 00:20:13,679 Speaker 1: clapping when they heard those voices in the basement, that 368 00:20:13,760 --> 00:20:16,720 Speaker 1: was unbelievable. By the way, we're gonna open up phone 369 00:20:16,720 --> 00:20:19,280 Speaker 1: lines in the third hour eight hundred two eight two 370 00:20:19,400 --> 00:20:21,719 Speaker 1: two eight eight two. But if you are a huge 371 00:20:21,840 --> 00:20:24,440 Speaker 1: horror movie fan and you want to weigh in with 372 00:20:24,560 --> 00:20:26,920 Speaker 1: what people should watch tonight, given the fact it's probably 373 00:20:26,920 --> 00:20:29,160 Speaker 1: the thirteenth, you can look at the phone lines. We'll 374 00:20:29,160 --> 00:20:31,199 Speaker 1: take some of your calls throughout the course of the 375 00:20:31,240 --> 00:20:33,919 Speaker 1: remainder of the show on that topic. All right, Bobby, 376 00:20:34,400 --> 00:20:37,520 Speaker 1: you do fantastic work for us at OutKick and I 377 00:20:37,520 --> 00:20:40,239 Speaker 1: couldn't believe that the NBA did this. We talk a 378 00:20:40,240 --> 00:20:44,560 Speaker 1: lot at OutKick about the degree to which sports has 379 00:20:44,640 --> 00:20:49,640 Speaker 1: turned into basically woke sports. It's taken over the universe 380 00:20:49,800 --> 00:20:53,560 Speaker 1: of regular sports fans and they constantly are lecturing us. 381 00:20:53,560 --> 00:20:56,159 Speaker 1: And the worst in terms of lecture, I think, I 382 00:20:56,160 --> 00:20:59,639 Speaker 1: think you'd probably agree is the NBA. And so the 383 00:20:59,760 --> 00:21:02,040 Speaker 1: NBA pulled their All Star game. We got a lot 384 00:21:02,040 --> 00:21:05,359 Speaker 1: of people listening in North Carolina out of Charlotte over 385 00:21:05,440 --> 00:21:10,359 Speaker 1: a transgender bathroom bill. And then they end up now 386 00:21:11,240 --> 00:21:15,120 Speaker 1: going to the United Arab Emirates, which if you are 387 00:21:15,240 --> 00:21:18,920 Speaker 1: gay you can be put to death there, and it 388 00:21:18,920 --> 00:21:21,760 Speaker 1: feels like OutKick and to a certain extent, Fox News, 389 00:21:21,840 --> 00:21:24,439 Speaker 1: which builds on a lot of outkicks work, are some 390 00:21:24,480 --> 00:21:28,000 Speaker 1: of the only outlets even discussing this. How crazy is 391 00:21:28,000 --> 00:21:32,639 Speaker 1: the hypocrisy? Yeah, and there's no other league that gets 392 00:21:32,640 --> 00:21:36,840 Speaker 1: protected by the sports media like the NBA is. I mean, 393 00:21:37,000 --> 00:21:39,399 Speaker 1: this is it going on for years right now? The 394 00:21:40,000 --> 00:21:44,159 Speaker 1: fear that broadcasters from an ESPAD and the Ringer and 395 00:21:44,280 --> 00:21:46,800 Speaker 1: CBS and the New York Times have we calling out 396 00:21:46,880 --> 00:21:49,680 Speaker 1: the NBA is really second to none. And what I 397 00:21:49,680 --> 00:21:53,479 Speaker 1: find so fascinating about this is Clay. The NBA just 398 00:21:53,880 --> 00:21:56,639 Speaker 1: turned the corner for the first time in four years 399 00:21:56,880 --> 00:22:01,040 Speaker 1: by moving out of politics, by focusing on the games, 400 00:22:01,080 --> 00:22:04,879 Speaker 1: and what do you know, their reaching near record high's 401 00:22:05,000 --> 00:22:08,720 Speaker 1: highest opening first round since twenty fourteen and first become 402 00:22:08,760 --> 00:22:13,000 Speaker 1: a context. The MBA ratings plummeted to all time lows 403 00:22:13,200 --> 00:22:16,320 Speaker 1: when they really embraced the quote unquote racial record in 404 00:22:16,359 --> 00:22:19,400 Speaker 1: the country. They put Black Lives Matter across the court. 405 00:22:19,480 --> 00:22:23,399 Speaker 1: I mean, the MBA lost almost forty eight percent of 406 00:22:23,440 --> 00:22:27,439 Speaker 1: their audience when they embrace social justice messaging, and it 407 00:22:27,520 --> 00:22:29,800 Speaker 1: took them three years to get it back. So all 408 00:22:29,840 --> 00:22:32,760 Speaker 1: of a sudden, they're just now focusing back on the 409 00:22:32,840 --> 00:22:35,600 Speaker 1: games and people love it. Now they make a statement 410 00:22:35,680 --> 00:22:38,640 Speaker 1: like this, they're in jetuty I think again of losing 411 00:22:38,920 --> 00:22:41,840 Speaker 1: some of their more moderate political audience, which is just 412 00:22:42,160 --> 00:22:49,240 Speaker 1: insane business decision now. Also, Phil Mickelson got destroyed to 413 00:22:49,320 --> 00:22:51,960 Speaker 1: such an extent. Golfer out there, who a lot of 414 00:22:51,960 --> 00:22:54,120 Speaker 1: people listening to us right now play golf. I know. 415 00:22:54,560 --> 00:22:59,080 Speaker 1: Phil Mickelson got destroyed for negotiating with Saudi Arabia about 416 00:22:59,080 --> 00:23:03,160 Speaker 1: a new golf league effectively and he didn't even agree 417 00:23:03,200 --> 00:23:05,520 Speaker 1: to it, he certainly didn't sign on to do it. 418 00:23:06,080 --> 00:23:10,720 Speaker 1: Yet the NBA criticism is minor relatively speaking. How can 419 00:23:10,760 --> 00:23:14,000 Speaker 1: you justify Phil Mickelson getting crushed like he did for 420 00:23:14,119 --> 00:23:17,359 Speaker 1: negotiating with Saudi Arabia compared to the NBA getting a 421 00:23:17,400 --> 00:23:21,080 Speaker 1: pass with the United Arab Emirates, Well you can. That 422 00:23:21,160 --> 00:23:23,840 Speaker 1: just goes back to that first point about how the 423 00:23:23,920 --> 00:23:27,679 Speaker 1: media protects the NBA, particularly the sports media claim you know, 424 00:23:27,840 --> 00:23:29,480 Speaker 1: you and I are some of the only people that 425 00:23:29,560 --> 00:23:33,000 Speaker 1: have really called out Lebron James hypocrisy and some of 426 00:23:33,040 --> 00:23:36,280 Speaker 1: the other NBA players right away. Every time we do this, 427 00:23:36,640 --> 00:23:40,119 Speaker 1: somebody from like The Athletic or The Atlantic comes after 428 00:23:40,160 --> 00:23:42,040 Speaker 1: us saying, oh, well, you guys don't like because the 429 00:23:42,119 --> 00:23:45,000 Speaker 1: NBA player stuck out for you know, black riots and 430 00:23:45,119 --> 00:23:47,879 Speaker 1: racial injustice and all that stuff. You get none of 431 00:23:47,880 --> 00:23:50,800 Speaker 1: that when you criticize Phil Mickelson. So it doesn't surprise 432 00:23:50,960 --> 00:23:54,640 Speaker 1: me that top shows like Pardon Interruption will lead an 433 00:23:54,760 --> 00:23:59,040 Speaker 1: entire day condemning Phil Mickelson for thinking about going to 434 00:23:59,080 --> 00:24:03,120 Speaker 1: Saudi Arabia. Not mentioned this because there's no pushback by 435 00:24:03,160 --> 00:24:06,679 Speaker 1: going after Phil Nicholson, an old white male golfer, but 436 00:24:06,800 --> 00:24:09,040 Speaker 1: going after some of these NBA players who are so 437 00:24:09,200 --> 00:24:12,919 Speaker 1: active and popular on Twitter, that comes with another degree 438 00:24:12,920 --> 00:24:16,719 Speaker 1: of backlash at quite frankly, most journalists and TV anchors 439 00:24:16,760 --> 00:24:20,520 Speaker 1: don't have the backbone to withstand. Speaking of journalists and 440 00:24:20,600 --> 00:24:24,040 Speaker 1: TV anchors, ESPN, I still think this is shocking. And 441 00:24:24,040 --> 00:24:25,800 Speaker 1: we're talking, by the way, with Bobby Barak. He does 442 00:24:25,840 --> 00:24:28,880 Speaker 1: fantastic work at OutKick. Encourage you to go checkout OutKick 443 00:24:28,920 --> 00:24:30,800 Speaker 1: dot com to read a lot of what he is 444 00:24:30,800 --> 00:24:34,680 Speaker 1: doing on a day to day basis. ESPN stopped programming 445 00:24:35,040 --> 00:24:38,560 Speaker 1: in March during the NCAA Women's basketball tournament. I think 446 00:24:38,600 --> 00:24:40,320 Speaker 1: a lot of people out there listening right now may 447 00:24:40,320 --> 00:24:45,760 Speaker 1: not even know this to criticize the Florida Parents Rights Bill, 448 00:24:46,080 --> 00:24:48,800 Speaker 1: which kindergarten, first grade, second grade, and third graders are 449 00:24:48,800 --> 00:24:51,359 Speaker 1: not going to be taught about sex related issues. Again, 450 00:24:51,800 --> 00:24:56,879 Speaker 1: ESPN on their programming stopped and had a moment of silence. 451 00:24:57,160 --> 00:25:00,879 Speaker 1: L Duncan I believe is who was hosting this achelous charade. 452 00:25:01,640 --> 00:25:05,600 Speaker 1: Yet they're not going to even say a word about 453 00:25:05,600 --> 00:25:08,480 Speaker 1: the NBA going to the UAE. They claim that they 454 00:25:08,520 --> 00:25:11,480 Speaker 1: cared about gay people, but as we just said, gay 455 00:25:11,520 --> 00:25:14,640 Speaker 1: people can be put to death in the UAE. Same 456 00:25:14,640 --> 00:25:17,320 Speaker 1: thing for the Atlanta Hawks and Milwaukee Bucks, who also 457 00:25:17,359 --> 00:25:21,000 Speaker 1: have had walkout situations. What in the world is going 458 00:25:21,040 --> 00:25:24,560 Speaker 1: on here that ESPN can have this woke stance as 459 00:25:24,560 --> 00:25:26,640 Speaker 1: it pertains to the state of Florida for a bill 460 00:25:26,760 --> 00:25:28,960 Speaker 1: that frankly, a lot of their people aren't even smart 461 00:25:29,080 --> 00:25:31,720 Speaker 1: enough to understand why they sounded like such idiots for 462 00:25:31,800 --> 00:25:34,639 Speaker 1: this protest, and yet they're not going to be saying 463 00:25:34,720 --> 00:25:39,720 Speaker 1: a word about the UAE or the NBA's relationship there. Yes, 464 00:25:40,000 --> 00:25:42,280 Speaker 1: l Dumpkin like You Said, goes on air during a 465 00:25:42,320 --> 00:25:46,920 Speaker 1: college basketball tournament says it's so unfair to the LGBT 466 00:25:47,160 --> 00:25:51,000 Speaker 1: community that these teachers won't let the kids say gay, 467 00:25:51,040 --> 00:25:53,240 Speaker 1: which obviously is not true. There's nothing in the bill 468 00:25:53,320 --> 00:25:56,280 Speaker 1: that bands you from using the word gay. That's not 469 00:25:56,280 --> 00:25:58,600 Speaker 1: what it does. It basically tells teachers, you know, don't 470 00:25:58,720 --> 00:26:02,320 Speaker 1: talk about sex change and transgenderism with third graders and younger. 471 00:26:02,560 --> 00:26:04,159 Speaker 1: So she doesn't even know what the bill says, but 472 00:26:04,320 --> 00:26:07,679 Speaker 1: she interrupts a game to spread that talking point, saying 473 00:26:07,800 --> 00:26:11,040 Speaker 1: this is an attack on the LGBT community. Then she 474 00:26:11,160 --> 00:26:13,760 Speaker 1: goes on Twitter a little after saying, well, I have 475 00:26:13,880 --> 00:26:16,760 Speaker 1: friends that are LGBT. So it's my job to use 476 00:26:16,840 --> 00:26:20,480 Speaker 1: my large platform to stand out for them and protect them. Yet, 477 00:26:20,520 --> 00:26:23,919 Speaker 1: like you said, the NBA, the league that she claims 478 00:26:23,960 --> 00:26:27,200 Speaker 1: to be her favorite, is now partner up with a 479 00:26:27,240 --> 00:26:30,399 Speaker 1: country that if you're gay, they're allowed to punish you 480 00:26:30,600 --> 00:26:35,679 Speaker 1: by debt. More Overclay L. Duncan is frequently interacting with 481 00:26:35,880 --> 00:26:39,080 Speaker 1: Joy Read on Twitter, who posted a bunch of homophobic 482 00:26:39,119 --> 00:26:41,359 Speaker 1: posts on her blogs a couple of years ago. So 483 00:26:41,560 --> 00:26:46,640 Speaker 1: L Duncan brands herself as the gay rights activist at ESPN, 484 00:26:47,080 --> 00:26:50,800 Speaker 1: Yet she's talking with joy Read and not saying a 485 00:26:50,840 --> 00:26:53,159 Speaker 1: word about the NBA to deal with the country that 486 00:26:53,200 --> 00:26:55,600 Speaker 1: can kill you for being gay. So to me, there's 487 00:26:55,640 --> 00:26:58,280 Speaker 1: no bigger fraud at ESPN than her. There's a lot 488 00:26:58,280 --> 00:27:00,520 Speaker 1: of people on that list. I consider her right now. 489 00:27:00,680 --> 00:27:02,840 Speaker 1: I think she's in a league of her own. She's 490 00:27:02,840 --> 00:27:05,359 Speaker 1: a clown and she's a hypocrite, and frankly, I'm not 491 00:27:05,400 --> 00:27:07,840 Speaker 1: even sure she's smart enough to understand how much of 492 00:27:07,840 --> 00:27:09,720 Speaker 1: a clown and a hypocrite she is. But it's part 493 00:27:09,720 --> 00:27:13,280 Speaker 1: of the larger network environment that ESPN has created, created 494 00:27:13,840 --> 00:27:16,879 Speaker 1: Bobby for people who may not be super plugged in 495 00:27:16,960 --> 00:27:20,640 Speaker 1: in the world of sports. How left wing is the 496 00:27:20,680 --> 00:27:23,959 Speaker 1: sports media that covers sports? Because we talk a lot 497 00:27:24,000 --> 00:27:27,119 Speaker 1: about the left wing bias in politics from MSNBC and 498 00:27:27,240 --> 00:27:31,119 Speaker 1: Washington Post and the New York Times and CNN and 499 00:27:31,200 --> 00:27:35,480 Speaker 1: all these outlets that everybody immediately recognizes and acknowledges has 500 00:27:35,560 --> 00:27:38,840 Speaker 1: that left wing bias. A lot of times, the ESPN's 501 00:27:38,960 --> 00:27:42,280 Speaker 1: of the world slide under the radar, and the extreme 502 00:27:42,359 --> 00:27:45,600 Speaker 1: left wing bias of the sports media outside of places 503 00:27:45,640 --> 00:27:50,359 Speaker 1: like OutKick almost doesn't even get called out at all. Right, 504 00:27:51,119 --> 00:27:53,439 Speaker 1: is anybody more qualified to talk about this than you 505 00:27:53,520 --> 00:27:55,320 Speaker 1: and I? Because I don't think anybody on a daily 506 00:27:55,359 --> 00:27:58,920 Speaker 1: basis delves into bolts the political media landscape in the 507 00:27:59,040 --> 00:28:02,600 Speaker 1: sports media landscape like we do. And yet there is 508 00:28:02,640 --> 00:28:06,440 Speaker 1: a perspective of news media leans left, which it absolutely does, 509 00:28:06,640 --> 00:28:10,280 Speaker 1: but the sports media leans in that direction so much 510 00:28:10,359 --> 00:28:14,159 Speaker 1: further because here's the thing. The reason what sports media 511 00:28:14,240 --> 00:28:16,800 Speaker 1: is that most of the people are sort of bitter 512 00:28:17,040 --> 00:28:20,080 Speaker 1: and they feel like they need to prove what side 513 00:28:20,119 --> 00:28:22,960 Speaker 1: they around. You see, so many people just never miss 514 00:28:22,960 --> 00:28:25,919 Speaker 1: an opportunity to call somebody racist for something that's not 515 00:28:25,960 --> 00:28:28,960 Speaker 1: a racist. At least in the news media, you have 516 00:28:29,240 --> 00:28:33,800 Speaker 1: alternative outlift that can push back on that prominent outlift 517 00:28:33,840 --> 00:28:37,199 Speaker 1: and too OutKick, there was nobody in the sports media 518 00:28:37,520 --> 00:28:41,120 Speaker 1: space that could even get a moderate opinion just to 519 00:28:41,160 --> 00:28:43,680 Speaker 1: push back and say, wait a minute, what you're saying 520 00:28:43,880 --> 00:28:46,840 Speaker 1: is not factual. That all these sports anchors saying that 521 00:28:46,880 --> 00:28:50,000 Speaker 1: this bill prohibits the word of gay. If there wasn't 522 00:28:49,960 --> 00:28:52,840 Speaker 1: an OutKick, there would not be a single website that 523 00:28:52,880 --> 00:28:55,200 Speaker 1: covers sports that would have said that. So I think 524 00:28:55,200 --> 00:28:58,280 Speaker 1: the biggest thing is there is less of a voice 525 00:28:58,320 --> 00:29:01,480 Speaker 1: in alternative sports media then there is news meeting, And 526 00:29:01,480 --> 00:29:04,000 Speaker 1: I find that so unfortunate because I go to a 527 00:29:04,040 --> 00:29:06,160 Speaker 1: sports bar or go to a sports game, and I 528 00:29:06,200 --> 00:29:08,560 Speaker 1: think so many people are just so set up with 529 00:29:08,640 --> 00:29:12,000 Speaker 1: what's going on, but their voices are not a representative 530 00:29:12,360 --> 00:29:15,680 Speaker 1: representative because so much of the sports conversation for so 531 00:29:15,720 --> 00:29:20,600 Speaker 1: long has been dictated by ESPN, The Washington Post, NBC Sports, 532 00:29:20,880 --> 00:29:24,600 Speaker 1: all of which lean probably as far left as CNN 533 00:29:24,760 --> 00:29:28,400 Speaker 1: in an ESPN's case, as far left as MSNBC. I 534 00:29:28,400 --> 00:29:30,719 Speaker 1: don't think there's any doubt if you enjoy this conversation 535 00:29:30,760 --> 00:29:32,400 Speaker 1: and you want to have a little bit of sanity 536 00:29:32,400 --> 00:29:34,200 Speaker 1: in your sports life, I'd encourage you to check out 537 00:29:34,200 --> 00:29:38,800 Speaker 1: Bobby Barak. Also checkout OutKick dot com Bobby by the way, 538 00:29:39,000 --> 00:29:42,080 Speaker 1: data also out there. Major League Baseball pulled the All 539 00:29:42,120 --> 00:29:44,240 Speaker 1: Star Game out of Georgia because they said that it 540 00:29:44,280 --> 00:29:47,000 Speaker 1: was Jim Crow two point zero. So the voting has 541 00:29:47,120 --> 00:29:53,800 Speaker 1: surged in Georgia. Another lie, another thing that sports got wrong. Yeah, 542 00:29:53,840 --> 00:29:55,720 Speaker 1: I think my favorite one is actually I think when 543 00:29:55,720 --> 00:29:58,480 Speaker 1: Biden called it Jim Crow on steroid, Jim Crow two 544 00:29:58,520 --> 00:30:01,040 Speaker 1: point oh, it's pretty good, but Hi Crow on steroids 545 00:30:01,120 --> 00:30:04,000 Speaker 1: even better. Yeah, this is just another example of sort 546 00:30:04,000 --> 00:30:09,000 Speaker 1: of these sports companies and major corporations acting irrationally out 547 00:30:09,000 --> 00:30:12,200 Speaker 1: of fear. So what happened here? As MLB Commissioner Rob Manford, 548 00:30:12,400 --> 00:30:15,720 Speaker 1: he saw the push to say that Georgia's bills were 549 00:30:16,280 --> 00:30:19,880 Speaker 1: bombs holding black people back as an example of voter suppression, 550 00:30:19,920 --> 00:30:22,520 Speaker 1: so he felt he needed to make a statement to 551 00:30:22,600 --> 00:30:25,040 Speaker 1: show everybody, well, he's not a racist. You can't call 552 00:30:25,120 --> 00:30:27,600 Speaker 1: me a racist. I pulled the All Star Game out 553 00:30:27,600 --> 00:30:30,800 Speaker 1: of Atlanta, But as you say, it didn't suppress any 554 00:30:30,840 --> 00:30:34,440 Speaker 1: of votes. Voting is up double since twenty eighteen. And moreover, 555 00:30:34,680 --> 00:30:36,880 Speaker 1: what ended up happening. He took the All Star Game 556 00:30:36,920 --> 00:30:42,040 Speaker 1: to Colorado, which arguably has more stringent voting laws than Georgia. 557 00:30:42,360 --> 00:30:45,080 Speaker 1: And in the meantime, he ended up just taking money 558 00:30:45,120 --> 00:30:48,520 Speaker 1: away from black owned businesses in Atlanta. So what did 559 00:30:48,520 --> 00:30:52,080 Speaker 1: he accomplish? Nothing? Thankfully, the Braves won the World Series 560 00:30:52,080 --> 00:30:54,440 Speaker 1: and got to host three World Series games instead. Bobby, 561 00:30:54,480 --> 00:30:57,280 Speaker 1: keep up the good work. Appreciate it, my man Clay, 562 00:30:57,320 --> 00:31:01,920 Speaker 1: Appreciate it. Great speeches inspire us. They make you think, 563 00:31:02,000 --> 00:31:04,920 Speaker 1: they inspire us to act. They reassure us all of 564 00:31:04,920 --> 00:31:07,720 Speaker 1: our beliefs. Hillsdale College knows this too, and for as 565 00:31:07,760 --> 00:31:11,200 Speaker 1: long as fifty years now, they've reprinted the words from 566 00:31:11,240 --> 00:31:14,920 Speaker 1: great speeches in a monthly magazine digest. They call this 567 00:31:14,960 --> 00:31:18,400 Speaker 1: publication and Primus, and it's delivered every month to some 568 00:31:18,680 --> 00:31:22,480 Speaker 1: six million plus readers. As you start to receive and 569 00:31:22,520 --> 00:31:25,080 Speaker 1: read this publication, it will remind you of our nation's 570 00:31:25,120 --> 00:31:28,920 Speaker 1: great heritage of liberty. These days, Hillsdale publishes people like 571 00:31:29,000 --> 00:31:32,840 Speaker 1: Victor Davis Hanson, Molly Hemingway, Markstein, and Chris rufo I. 572 00:31:33,000 --> 00:31:36,200 Speaker 1: Primus is delivered for free each month as a gift 573 00:31:36,280 --> 00:31:39,880 Speaker 1: from Hillsdale College, no strings attached. They just want you 574 00:31:39,920 --> 00:31:42,760 Speaker 1: to be informed and reminded of the value of our 575 00:31:42,800 --> 00:31:45,400 Speaker 1: liberties to get a free subscription. I encourage you guys 576 00:31:45,400 --> 00:31:46,840 Speaker 1: to go sign up for this, by the way, because 577 00:31:46,840 --> 00:31:49,880 Speaker 1: in Primus really is a great read every month. Go 578 00:31:50,000 --> 00:31:53,000 Speaker 1: to Clay and Buck for Hillsdale dot com right now, 579 00:31:53,320 --> 00:31:56,720 Speaker 1: that's Clay and Buck for Hillsdale dot com. Clay in 580 00:31:56,840 --> 00:32:07,400 Speaker 1: Buck for Hillsdale dot com. There is an anti woke 581 00:32:07,640 --> 00:32:11,880 Speaker 1: revolution afoot. I am Clay Travis. This is the play 582 00:32:11,880 --> 00:32:15,480 Speaker 1: in Buck show. Appreciate all of you hanging out with us, 583 00:32:16,520 --> 00:32:18,840 Speaker 1: and I wanted to read. And by the way, Bobby 584 00:32:18,840 --> 00:32:20,800 Speaker 1: Brack great, I think he's only like twenty four to 585 00:32:20,880 --> 00:32:23,600 Speaker 1: twenty five years old, does phenomenal work at OutKick. You 586 00:32:23,640 --> 00:32:25,840 Speaker 1: just heard from him. We're gonna hear from Senator Ran 587 00:32:26,000 --> 00:32:28,959 Speaker 1: Paul here in a moment at the top of the 588 00:32:29,000 --> 00:32:33,200 Speaker 1: next hour to discuss his decision to withhold support for 589 00:32:33,240 --> 00:32:37,120 Speaker 1: the forty billion dollars that America was going to provide 590 00:32:37,160 --> 00:32:40,640 Speaker 1: an aid to Ukraine. But I was reading this morning 591 00:32:40,680 --> 00:32:42,520 Speaker 1: getting ready for the show, and I read this, and 592 00:32:42,560 --> 00:32:44,400 Speaker 1: we're covering it at OutKick as well, and you can 593 00:32:44,400 --> 00:32:47,280 Speaker 1: go read about it up at OutKick dot com. But 594 00:32:48,000 --> 00:32:52,200 Speaker 1: depending so Netflix. Obviously, we talked and discussed a lot 595 00:32:52,240 --> 00:32:56,440 Speaker 1: on this program about the way that Netflix had to 596 00:32:56,520 --> 00:33:00,880 Speaker 1: deal with the fallout from Dave Chappelle's show comedy special 597 00:33:00,960 --> 00:33:03,920 Speaker 1: that had transgender jokes in it. By the way, he 598 00:33:03,920 --> 00:33:07,200 Speaker 1: made fun of everybody, but the transgender community has been 599 00:33:07,280 --> 00:33:09,920 Speaker 1: very angry at Dave Chappelle for the jokes that he 600 00:33:09,960 --> 00:33:13,640 Speaker 1: has made at their expense, and so there was a 601 00:33:13,680 --> 00:33:16,880 Speaker 1: walk out, there was a protest to Netflix credit they 602 00:33:16,880 --> 00:33:19,880 Speaker 1: did not pull down anything for Dave Chappelle, and Dave 603 00:33:19,960 --> 00:33:23,080 Speaker 1: Chappelle got attacked on the stage last week. I think 604 00:33:23,080 --> 00:33:26,760 Speaker 1: it was in La by a crazy loon who should 605 00:33:26,760 --> 00:33:28,480 Speaker 1: have been charged with a felony, by the way, but 606 00:33:28,600 --> 00:33:31,280 Speaker 1: instead got charged with a misdemeanor, because it's almost impossible 607 00:33:31,440 --> 00:33:34,760 Speaker 1: to get charged with a felony in Los Angeles these days. 608 00:33:35,080 --> 00:33:39,720 Speaker 1: But Netflix sent out a memo to all of its 609 00:33:39,760 --> 00:33:44,760 Speaker 1: employees letting them know that, effectively, if you don't like 610 00:33:45,720 --> 00:33:49,320 Speaker 1: working at Netflix because of some of the content were creating, 611 00:33:49,800 --> 00:33:54,280 Speaker 1: maybe you should quit, which bravo. Maybe it took Netflix 612 00:33:54,320 --> 00:33:58,360 Speaker 1: stock driving dropping down by seventy percent. But I'm reading 613 00:33:58,440 --> 00:34:03,920 Speaker 1: directly from the memo, which is titled Netflix Culture Seeking Excellence, 614 00:34:04,280 --> 00:34:08,440 Speaker 1: and it says as employees, we support the principle that 615 00:34:08,640 --> 00:34:13,120 Speaker 1: Netflix offers a diversity of stories, even if we find 616 00:34:13,320 --> 00:34:18,399 Speaker 1: some titles counter to our own personal values. Depend I'm 617 00:34:18,400 --> 00:34:22,759 Speaker 1: reading directly from this memo. Depending on your role, you 618 00:34:22,800 --> 00:34:26,200 Speaker 1: may need to work on titles you perceived to be harmful. 619 00:34:27,440 --> 00:34:31,600 Speaker 1: If you'd find it hard to support our content breadth, 620 00:34:32,239 --> 00:34:37,680 Speaker 1: Netflix may not be the best place for you. Hey, 621 00:34:38,000 --> 00:34:41,680 Speaker 1: I'm not defending everything that Netflix does, because certainly they've 622 00:34:41,680 --> 00:34:46,200 Speaker 1: been far too woke for my personal opinion often, but 623 00:34:47,239 --> 00:34:53,399 Speaker 1: finally telling these woke trojan horse diversity and inclusion employees 624 00:34:53,600 --> 00:34:56,120 Speaker 1: that want to try to tear down the companies from 625 00:34:56,120 --> 00:34:59,239 Speaker 1: the inside, we may not be the right place for you. 626 00:34:59,400 --> 00:35:03,280 Speaker 1: Go somew or else, Amen, And I hope other companies 627 00:35:03,320 --> 00:35:05,960 Speaker 1: start to do the exact same as what we just 628 00:35:05,960 --> 00:35:08,800 Speaker 1: saw from Netflix in that memo. Now, a bunch of 629 00:35:08,840 --> 00:35:14,320 Speaker 1: people wanting to to dive in and react on Friday 630 00:35:14,360 --> 00:35:18,640 Speaker 1: the thirteenth to scary movies that might possibly be out there, 631 00:35:19,239 --> 00:35:21,760 Speaker 1: and I will dive in here. Who is up first? 632 00:35:21,880 --> 00:35:24,000 Speaker 1: Let's see, I've got the list in front of me, 633 00:35:24,640 --> 00:35:28,240 Speaker 1: and I'm gonna go with Larry and Independence Missouri. Larry, 634 00:35:28,239 --> 00:35:34,360 Speaker 1: what's the scariest movie ever made, the Event Horizon, Event Horizon. 635 00:35:34,440 --> 00:35:37,400 Speaker 1: I don't even remember Event Horizon. What happens in Event Horizon. 636 00:35:38,040 --> 00:35:42,880 Speaker 1: It's a ship, spaceship that had disappeared for years, subtly discovered, 637 00:35:42,920 --> 00:35:48,399 Speaker 1: and I've watched that it's haunted. Yes, Yes, that was scary. Yeah, 638 00:35:48,480 --> 00:35:50,720 Speaker 1: that's well done. I appreciate the call. It's Friday the thirteenth, 639 00:35:50,719 --> 00:35:52,839 Speaker 1: by the way, if you're wondering opening up phone lines 640 00:35:52,880 --> 00:35:55,319 Speaker 1: having some fun, scariest movie ever made? If you had 641 00:35:55,360 --> 00:36:00,000 Speaker 1: to only watch one movie tonight to celebrate Friday the thirteenth, 642 00:36:00,040 --> 00:36:03,600 Speaker 1: what would you watch, Joe in Cleveland, Ohio? What movie 643 00:36:03,640 --> 00:36:08,600 Speaker 1: you got? I would watch The Exorcist. I thought that 644 00:36:08,680 --> 00:36:11,200 Speaker 1: was the scariest movie that was Exercist. Thank you for 645 00:36:11,239 --> 00:36:15,400 Speaker 1: the call. The Exorcist is a terrifying movie. Remember last Friday, 646 00:36:15,440 --> 00:36:18,839 Speaker 1: both Buck and Mind Moms were on and Buck's mom 647 00:36:18,920 --> 00:36:22,160 Speaker 1: auditioned for the role of one of the kids on 648 00:36:22,200 --> 00:36:25,560 Speaker 1: The Exorcist. Buck, by the way, is in Chicago today. 649 00:36:25,640 --> 00:36:28,160 Speaker 1: He will be back on Monday. I hope he's having 650 00:36:28,160 --> 00:36:30,799 Speaker 1: a fantastic time there. When we come back top of 651 00:36:30,840 --> 00:36:32,960 Speaker 1: the next hour, we're going to be joined by Senator 652 00:36:33,040 --> 00:36:35,920 Speaker 1: Rand Paul of Kentucky. Why did he decide not to 653 00:36:36,080 --> 00:36:39,520 Speaker 1: support yet at least the forty billion dollars in aid 654 00:36:39,600 --> 00:36:41,560 Speaker 1: that we are going to send to Ukraine. We will 655 00:36:41,560 --> 00:36:43,640 Speaker 1: be discussing that with him. Will continue to take your 656 00:36:43,680 --> 00:36:47,239 Speaker 1: calls as well. Open Line Friday, eight hundred two eight 657 00:36:47,280 --> 00:36:50,040 Speaker 1: two two eight eight two. By the way, I would say, 658 00:36:50,239 --> 00:36:55,000 Speaker 1: in general, the Conjuring movies scariest series of movies ever made. 659 00:36:55,000 --> 00:36:57,799 Speaker 1: If you haven't seen those, check him out. Final Hour 660 00:36:57,960 --> 00:37:01,839 Speaker 1: of the Week next, Rand Paul play, Travis and Buck 661 00:37:01,880 --> 00:37:05,160 Speaker 1: Sexton on the front lines of truths.