1 00:00:00,080 --> 00:00:03,720 Speaker 1: Welcome to today's edition of the Clay Travison buck Sexton 2 00:00:03,800 --> 00:00:09,160 Speaker 1: Show podcast. Welcome back in to the Friday edition of 3 00:00:09,240 --> 00:00:13,360 Speaker 1: Clay Travis buck Sexton Show. We appreciate all of you've 4 00:00:13,360 --> 00:00:16,239 Speaker 1: been hanging out with us all week as we roll 5 00:00:16,280 --> 00:00:20,960 Speaker 1: into yet another weekend. It has been a tumultuous week 6 00:00:21,680 --> 00:00:24,720 Speaker 1: for those of us who are paying attention to the 7 00:00:24,760 --> 00:00:30,280 Speaker 1: ongoing struggle on social media to retain some sense of 8 00:00:30,520 --> 00:00:33,959 Speaker 1: normalcy in the country. We will discuss that we've got 9 00:00:33,960 --> 00:00:36,760 Speaker 1: a couple of great guest coming down the pike that 10 00:00:36,960 --> 00:00:41,600 Speaker 1: I believe you will enjoy, Julie Vanderis and Tutor Dixon. 11 00:00:41,720 --> 00:00:43,680 Speaker 1: I believe we'll both be with us during the course 12 00:00:43,800 --> 00:00:48,400 Speaker 1: of today's program. Last night, Buck, you may know this 13 00:00:48,479 --> 00:00:51,240 Speaker 1: off the top of your head. Was this the first 14 00:00:51,280 --> 00:00:56,720 Speaker 1: state dinner for the Biden administration? Because they've been fun 15 00:00:56,840 --> 00:01:00,960 Speaker 1: history tribute. Oh, I'm a Biden administration stuff. I just 16 00:01:01,000 --> 00:01:02,720 Speaker 1: like to make fun of Joe Biden. I don't really 17 00:01:02,760 --> 00:01:04,960 Speaker 1: understand what they're up to day in and day out. 18 00:01:05,160 --> 00:01:07,080 Speaker 1: I think it was the first official step, but I 19 00:01:07,120 --> 00:01:09,640 Speaker 1: could be wrong. Well, because of COVID, they haven't really 20 00:01:09,680 --> 00:01:11,640 Speaker 1: allowed people to be able to come in and out 21 00:01:11,640 --> 00:01:14,120 Speaker 1: of the White House and masks and everything. Now, weren't 22 00:01:14,120 --> 00:01:16,640 Speaker 1: they masking up in between bites at the dinner last night? 23 00:01:17,319 --> 00:01:19,520 Speaker 1: I don't take the virus seriously, to be honest with you, 24 00:01:19,800 --> 00:01:22,640 Speaker 1: especially since Los Angeles is now saying that they are 25 00:01:22,680 --> 00:01:26,000 Speaker 1: going to bring back the indoor mask mandate, probably by 26 00:01:26,200 --> 00:01:28,440 Speaker 1: the start of the year. In case you're living in 27 00:01:28,560 --> 00:01:31,520 Speaker 1: LA and needed a nice capstone into your weekend. But 28 00:01:31,640 --> 00:01:34,360 Speaker 1: I wanted to start with this up. It is becoming 29 00:01:34,520 --> 00:01:42,000 Speaker 1: increasingly impossible for American woke corporations, that is, American corporations 30 00:01:42,080 --> 00:01:44,400 Speaker 1: here in the United States that are behaving in a 31 00:01:44,440 --> 00:01:49,320 Speaker 1: woke fashion to justify that behavior in the United States 32 00:01:49,400 --> 00:01:53,960 Speaker 1: while also doing extensive work with China. And I want 33 00:01:54,000 --> 00:01:57,880 Speaker 1: to play this audio for you. Tim Cook set the 34 00:01:57,960 --> 00:02:01,800 Speaker 1: CEO of Apple at Joe with Joe Biden at the 35 00:02:01,920 --> 00:02:06,040 Speaker 1: lead table last night at the state dinner for France. 36 00:02:06,360 --> 00:02:10,880 Speaker 1: Manuel McCrone is in town and they were fedding the 37 00:02:10,960 --> 00:02:14,480 Speaker 1: French president and what may well be the first major 38 00:02:14,520 --> 00:02:17,640 Speaker 1: sort of state dinner that they've had in the Biden administration. 39 00:02:17,680 --> 00:02:20,960 Speaker 1: There were lots of celebrities there, but Tim Cook was 40 00:02:21,040 --> 00:02:25,480 Speaker 1: set at the primary table. I am told alongside of 41 00:02:25,639 --> 00:02:29,760 Speaker 1: Joe Biden. Tim Cook was also walking the halls of 42 00:02:29,800 --> 00:02:32,920 Speaker 1: the United States Capitol, and he has been in the 43 00:02:32,960 --> 00:02:36,000 Speaker 1: news for two big reasons this week as a part 44 00:02:36,040 --> 00:02:41,320 Speaker 1: of the Apple relationship. First, he went and got involved 45 00:02:41,360 --> 00:02:46,080 Speaker 1: in a tiff with Elon Musk because Apple decided they 46 00:02:46,080 --> 00:02:49,360 Speaker 1: were no longer going to advertise Apple products on Twitter 47 00:02:49,680 --> 00:02:53,160 Speaker 1: because they didn't believe that Twitter was safe. It appears 48 00:02:53,240 --> 00:02:57,640 Speaker 1: that then Elon Musk said, is Apple going to to 49 00:02:57,760 --> 00:03:00,320 Speaker 1: pull us off the app store? They had some sort 50 00:03:00,360 --> 00:03:04,640 Speaker 1: of meeting between the two and that threat appears to 51 00:03:04,840 --> 00:03:09,120 Speaker 1: have dried up, but more substantially on Yeah, I know, 52 00:03:09,320 --> 00:03:10,919 Speaker 1: I just want to throw in there. I'm gonna interrupt 53 00:03:11,639 --> 00:03:17,080 Speaker 1: the clay train. But the fact that even the possibility 54 00:03:17,760 --> 00:03:20,760 Speaker 1: of the Disney effect for a place like Apple, I 55 00:03:20,800 --> 00:03:23,160 Speaker 1: think goes to show you you don't have to go 56 00:03:23,240 --> 00:03:25,760 Speaker 1: to war with all these companies, That's right. They just 57 00:03:25,800 --> 00:03:29,760 Speaker 1: have to know that war is a possibility. And Elon 58 00:03:30,320 --> 00:03:33,400 Speaker 1: made it known that over this issue of the app store, 59 00:03:33,560 --> 00:03:38,360 Speaker 1: it's possible that alone can change the way this goes. Yeah, 60 00:03:38,400 --> 00:03:40,120 Speaker 1: and we talked about that with Disney, and I think 61 00:03:40,120 --> 00:03:43,000 Speaker 1: it's a good point you're raising. When the company is 62 00:03:43,040 --> 00:03:47,280 Speaker 1: firing on all cylinders. They can handle taking some flak 63 00:03:47,520 --> 00:03:52,840 Speaker 1: over being too woke, but Disney's business model is legitimately 64 00:03:52,920 --> 00:03:56,720 Speaker 1: collapsing when you look at the cable and satellite business 65 00:03:56,920 --> 00:04:00,320 Speaker 1: and the streaming services and how much money they're losing 66 00:04:00,480 --> 00:04:03,560 Speaker 1: now on streaming eight billion dollars I believe in the 67 00:04:03,560 --> 00:04:07,440 Speaker 1: past year. So the threats become more paramount when the 68 00:04:07,520 --> 00:04:10,640 Speaker 1: business itself isn't as structure found as it has been 69 00:04:10,640 --> 00:04:14,680 Speaker 1: in the past. And so Apple is now finding itself 70 00:04:14,680 --> 00:04:18,200 Speaker 1: in the crosshairs, not only in terms of what social 71 00:04:18,200 --> 00:04:20,800 Speaker 1: media rules should apply in the United States, but more 72 00:04:21,120 --> 00:04:25,640 Speaker 1: importantly on a global scale with what's going on in 73 00:04:25,839 --> 00:04:30,360 Speaker 1: China and Apple's relationship with the Chinese government, and in 74 00:04:30,400 --> 00:04:35,680 Speaker 1: particular Apple is willing to do essentially whatever China tells 75 00:04:35,720 --> 00:04:40,680 Speaker 1: it to do. It is terrified Apple is of China. Meanwhile, 76 00:04:40,800 --> 00:04:45,920 Speaker 1: it is constantly, i would say, denigrating in many ways 77 00:04:46,040 --> 00:04:51,280 Speaker 1: American values, attacking American institutions, even though it's technically an 78 00:04:51,279 --> 00:04:54,960 Speaker 1: American corporation. So Tim Cook is making the rounds on 79 00:04:55,000 --> 00:04:58,920 Speaker 1: Capitol Hill yesterday credit to Fox News, and I'm not 80 00:04:59,000 --> 00:05:01,839 Speaker 1: sure do we have the reporter's name here who is 81 00:05:02,080 --> 00:05:05,919 Speaker 1: who finds Tim Cook walking the halls of Congress and 82 00:05:06,080 --> 00:05:10,280 Speaker 1: begins to ask questions. Hillary Vaughn is the Fox reporter here. 83 00:05:10,279 --> 00:05:12,120 Speaker 1: I wanted to make sure we gave her credit. I 84 00:05:12,160 --> 00:05:14,760 Speaker 1: don't know how many of you saw this audio. The 85 00:05:14,880 --> 00:05:19,160 Speaker 1: video is quite compelling because Tim Cook is just trying 86 00:05:19,160 --> 00:05:22,920 Speaker 1: to avoid making eye contact with her at all. He's 87 00:05:22,920 --> 00:05:26,720 Speaker 1: got a flanks of security that's surrounding him. He's clearly 88 00:05:26,760 --> 00:05:30,680 Speaker 1: attempting to avoid answering any of these questions. This is 89 00:05:30,720 --> 00:05:33,120 Speaker 1: on in the halls of Capitol Hill, so he is 90 00:05:33,800 --> 00:05:37,279 Speaker 1: engaged in political activity. It's not as if she tracked 91 00:05:37,360 --> 00:05:40,040 Speaker 1: him down at some restaurant and started to berrate him. 92 00:05:40,120 --> 00:05:43,599 Speaker 1: This is Hillary Vaughan asking a series of very legitimate 93 00:05:43,680 --> 00:05:48,120 Speaker 1: questions of Tim Cook on Capitol Hill yesterday. Listen. Do 94 00:05:48,160 --> 00:05:55,320 Speaker 1: you support the Chinese people's right to protest? Do you 95 00:05:55,360 --> 00:05:57,799 Speaker 1: have any reaction to the factory workers that were beaten 96 00:05:57,839 --> 00:06:05,360 Speaker 1: and detained for protesting COVID lockdown? Do you regret restricting 97 00:06:05,400 --> 00:06:09,720 Speaker 1: air drop access that protesters used to evade surveillance from 98 00:06:09,720 --> 00:06:16,520 Speaker 1: the Chinese government. Do you think it's problematic to do 99 00:06:16,640 --> 00:06:21,400 Speaker 1: business with the Communist Chinese Party when they suppress human rights. 100 00:06:24,480 --> 00:06:28,159 Speaker 1: I mean he's doing from a PR perspective. There's not 101 00:06:28,320 --> 00:06:30,760 Speaker 1: answering is the best answer. I'm just gonna say it. 102 00:06:30,760 --> 00:06:35,000 Speaker 1: It's obvious she's asking Hillary Vaughan the right questions ones 103 00:06:35,040 --> 00:06:37,640 Speaker 1: that a lot of people certainly would like answers too. 104 00:06:38,560 --> 00:06:42,040 Speaker 1: But again, Clay, I think that we are beginning to 105 00:06:42,200 --> 00:06:46,080 Speaker 1: enter a new phase here. And when you add together 106 00:06:46,960 --> 00:06:51,040 Speaker 1: the RHN DE Santist Disney fight, and now obviously Disney 107 00:06:51,080 --> 00:06:53,720 Speaker 1: has a new ceo. As you said, Disney's business models 108 00:06:53,720 --> 00:06:56,680 Speaker 1: in a bit of trouble. We're in rough economic waters. 109 00:06:56,680 --> 00:06:58,640 Speaker 1: It feels weird right now. A lot of people are 110 00:06:58,680 --> 00:07:01,279 Speaker 1: starting to say we're in a stealth recession. That's I 111 00:07:01,320 --> 00:07:03,359 Speaker 1: think I've even said something like that before on the 112 00:07:03,360 --> 00:07:05,360 Speaker 1: show or something close to it. We've talked about this 113 00:07:05,400 --> 00:07:09,400 Speaker 1: for months, but it's not front page. Oh my gosh, 114 00:07:09,440 --> 00:07:11,280 Speaker 1: the bottom is falling out of the stock market, the 115 00:07:11,320 --> 00:07:14,640 Speaker 1: housing market, that sort of recession. But something definitely is 116 00:07:14,640 --> 00:07:18,120 Speaker 1: in a downturn feel right now. And some of these companies, 117 00:07:18,400 --> 00:07:22,080 Speaker 1: now that Elon has bought Twitter, let's understand there's also 118 00:07:22,200 --> 00:07:28,480 Speaker 1: a much faster, much more likely communication hub for conservatives 119 00:07:28,560 --> 00:07:31,200 Speaker 1: or just people in general to be able to mobilize 120 00:07:31,240 --> 00:07:34,560 Speaker 1: now against one of these major tech companies. Right, you 121 00:07:34,680 --> 00:07:38,280 Speaker 1: can organize a boycott now much more quickly as a 122 00:07:38,320 --> 00:07:42,360 Speaker 1: result of Twitter not being some left wing propaganda mill, 123 00:07:42,680 --> 00:07:44,680 Speaker 1: which is what it was in the past. So I 124 00:07:44,960 --> 00:07:49,520 Speaker 1: just I think that the tectonic plates in corporate wokeness. 125 00:07:49,800 --> 00:07:53,480 Speaker 1: It's a big look. We were defending on our own 126 00:07:53,640 --> 00:07:55,720 Speaker 1: five yard line for the last few years. I mean 127 00:07:55,800 --> 00:07:59,280 Speaker 1: that's that's because Mobbys. But we have gained serious ground 128 00:07:59,320 --> 00:08:02,840 Speaker 1: here and there's I think the calculation for places like 129 00:08:02,920 --> 00:08:06,760 Speaker 1: Apple now Disney, it's shifting. It doesn't mean the wokeness 130 00:08:06,760 --> 00:08:08,720 Speaker 1: isn't there, doesn't mean they're not still going to try it. 131 00:08:09,040 --> 00:08:12,080 Speaker 1: But Clay, they used to be able to just trample 132 00:08:12,560 --> 00:08:16,000 Speaker 1: anybody on the right with total impunity, and concervatives would 133 00:08:16,000 --> 00:08:18,000 Speaker 1: all saying no, no no, no, I like the products, you know, 134 00:08:18,040 --> 00:08:21,280 Speaker 1: we wouldn't do anything about it. I think that has 135 00:08:21,320 --> 00:08:24,240 Speaker 1: started to change. The fact that Tim Cook has already 136 00:08:24,280 --> 00:08:26,680 Speaker 1: you know, he's already squashed it with Elon. There's they're 137 00:08:26,720 --> 00:08:31,480 Speaker 1: not going to do the app store blocks. That's indicative 138 00:08:31,520 --> 00:08:33,320 Speaker 1: of something, right that that Elon would come out and 139 00:08:33,320 --> 00:08:35,360 Speaker 1: say that that's changed. So now I think it's a 140 00:08:35,440 --> 00:08:37,920 Speaker 1: question of momentum and continuing to use it. I mean 141 00:08:37,920 --> 00:08:41,160 Speaker 1: because on the China issue. One of the complexities of 142 00:08:41,160 --> 00:08:45,480 Speaker 1: the China issue is these companies do have a massive 143 00:08:45,520 --> 00:08:49,480 Speaker 1: profit motive in being hypocritical. Right here at home, it's 144 00:08:49,520 --> 00:08:53,000 Speaker 1: all about political hypocrisy. It's all about we're woke, shut up. 145 00:08:53,040 --> 00:08:55,480 Speaker 1: Even if this hurts our bottom line, We're going to 146 00:08:55,559 --> 00:08:59,120 Speaker 1: do it because that's what we want to do with China. 147 00:08:59,240 --> 00:09:02,000 Speaker 1: You know, if they speak out on principle, they do 148 00:09:02,160 --> 00:09:04,680 Speaker 1: risk their bottom line as well. So it's it's two 149 00:09:04,800 --> 00:09:08,280 Speaker 1: things coming together. Right. They'll sacrifice profits here to be woke, 150 00:09:08,760 --> 00:09:12,720 Speaker 1: and that's it. Abroad they're actually going to be you know, 151 00:09:12,920 --> 00:09:15,160 Speaker 1: if they stand up and take a principled stance, they're 152 00:09:15,200 --> 00:09:19,400 Speaker 1: gonna lose with China as well as not necessarily be 153 00:09:19,480 --> 00:09:21,160 Speaker 1: able to have the principles in mind that they would 154 00:09:21,200 --> 00:09:24,199 Speaker 1: like what you're looking at me like love, no, no, no, 155 00:09:24,240 --> 00:09:28,080 Speaker 1: I just love. Hillary Vaughan hitting Tim Cook with four 156 00:09:28,200 --> 00:09:32,320 Speaker 1: questions that are so pertinent while she's walking if you 157 00:09:32,320 --> 00:09:34,880 Speaker 1: need to see that video, because she's literally walking down 158 00:09:34,960 --> 00:09:37,840 Speaker 1: the hallway like looking over her shoulder as he's surrounded 159 00:09:37,880 --> 00:09:41,360 Speaker 1: by security guards and I think the video is even 160 00:09:41,480 --> 00:09:44,840 Speaker 1: more powerful than the audio. But these are questions that 161 00:09:44,920 --> 00:09:46,839 Speaker 1: you and I have been asking for a couple of 162 00:09:46,920 --> 00:09:50,080 Speaker 1: years now on this show, and certainly have been talking 163 00:09:50,120 --> 00:09:54,120 Speaker 1: about the untenable nature of preaching to the American public, 164 00:09:54,320 --> 00:09:58,280 Speaker 1: how woke you are while bending the knee constantly to China, 165 00:09:58,360 --> 00:10:01,559 Speaker 1: and to see it suddenly start to blow up in 166 00:10:01,640 --> 00:10:04,640 Speaker 1: terms of but finally becoming an issue for these companies. 167 00:10:05,000 --> 00:10:07,760 Speaker 1: Is I think you're right an example of, Hey, we've 168 00:10:07,760 --> 00:10:11,520 Speaker 1: moved the ball in some way so that we're finally 169 00:10:11,559 --> 00:10:13,960 Speaker 1: getting some of these questions asked as opposed to just 170 00:10:14,080 --> 00:10:16,160 Speaker 1: yelling into the into the wilderness. Like I felt a 171 00:10:16,160 --> 00:10:18,400 Speaker 1: shortened version of what I was trying to say is 172 00:10:18,520 --> 00:10:21,880 Speaker 1: because I'm thinking about it. Free speech is good for 173 00:10:21,960 --> 00:10:25,680 Speaker 1: business in America, but they will shut it down. Standing 174 00:10:25,720 --> 00:10:29,760 Speaker 1: for free speech in China is actually not good for business. Right, 175 00:10:29,800 --> 00:10:31,720 Speaker 1: It's different, And this is what you're seeing with Twitter. 176 00:10:31,960 --> 00:10:33,719 Speaker 1: If you believe in free speech and you try to 177 00:10:33,760 --> 00:10:37,079 Speaker 1: support those principles in China, the Chinese government's just gonna 178 00:10:37,160 --> 00:10:38,840 Speaker 1: shut you down. You're gonna have to deal with big 179 00:10:38,880 --> 00:10:42,920 Speaker 1: problems in this country. Free speech elon, no one even 180 00:10:42,960 --> 00:10:45,080 Speaker 1: talks about this claim. That's why I'm glad more Twitter 181 00:10:45,200 --> 00:10:49,120 Speaker 1: users joining faster than ever before, more interactions. He cut 182 00:10:49,200 --> 00:10:52,360 Speaker 1: eighty percent of the staff. We've been pointing out, Wow, 183 00:10:52,360 --> 00:10:54,320 Speaker 1: where else could you cut eighty percent of the staff? 184 00:10:54,360 --> 00:10:57,040 Speaker 1: Like what federal government agencies? Could you cut eighty percent 185 00:10:57,040 --> 00:11:00,160 Speaker 1: of the staff and they work just as well. So 186 00:11:00,640 --> 00:11:04,240 Speaker 1: free speech is actually good for business in America. It's 187 00:11:04,280 --> 00:11:06,280 Speaker 1: not good for business in China. But then it's a 188 00:11:06,360 --> 00:11:08,480 Speaker 1: question of principle. That's what I was trying to That's 189 00:11:08,480 --> 00:11:11,080 Speaker 1: the difference I'm trying to indicate. Yeah, I just think 190 00:11:11,080 --> 00:11:15,120 Speaker 1: we're in a really intriguing inflection point now. We don't 191 00:11:15,160 --> 00:11:17,240 Speaker 1: know what's going to happen with the protest in China. 192 00:11:17,280 --> 00:11:19,480 Speaker 1: I mean, buck, these are the biggest protests against the 193 00:11:19,520 --> 00:11:22,720 Speaker 1: government in China since nineteen eighty nine. There is very 194 00:11:22,720 --> 00:11:25,280 Speaker 1: little precedent for what has happened. We talked to Gordon 195 00:11:25,400 --> 00:11:27,320 Speaker 1: Chang about this. I thought he was great earlier in 196 00:11:27,360 --> 00:11:28,800 Speaker 1: the week. We don't know how this is going to 197 00:11:28,840 --> 00:11:31,079 Speaker 1: shake out there. I love one and the Chinese Communist 198 00:11:31,120 --> 00:11:32,960 Speaker 1: Party is not going to get overthrown by this girlak. 199 00:11:33,000 --> 00:11:35,480 Speaker 1: Gordon knows more about this than I do. By a mile, 200 00:11:35,600 --> 00:11:38,880 Speaker 1: But all they do in China is figure out how 201 00:11:38,920 --> 00:11:41,160 Speaker 1: to stop proach. I mean this is this is literally 202 00:11:41,520 --> 00:11:44,760 Speaker 1: obsession number one of the CCP. SO, I mean it's 203 00:11:44,960 --> 00:11:46,959 Speaker 1: you're looking at a one in a hundred shot right now. 204 00:11:47,480 --> 00:11:50,880 Speaker 1: What I think is the protests could cause buck is 205 00:11:50,960 --> 00:11:54,480 Speaker 1: are they finally going to abandon the COVID zero strategy? 206 00:11:54,679 --> 00:11:57,600 Speaker 1: And if they do, And I want everybody out there 207 00:11:57,640 --> 00:12:00,319 Speaker 1: thinking about this, remember how much we were getting lectured 208 00:12:00,360 --> 00:12:02,559 Speaker 1: by the Faucis of the world about how China had 209 00:12:02,600 --> 00:12:05,680 Speaker 1: handled the COVID so much better than we did. That 210 00:12:05,679 --> 00:12:09,480 Speaker 1: that narrative has suddenly flipped because most people in China 211 00:12:09,520 --> 00:12:12,520 Speaker 1: haven't had COVID, they haven't been exposed to it that 212 00:12:12,880 --> 00:12:15,640 Speaker 1: we know the COVID shots are worthless. So the only 213 00:12:15,720 --> 00:12:18,480 Speaker 1: real way to get through COVID, at least based on 214 00:12:19,040 --> 00:12:22,040 Speaker 1: the data right now, is for everybody to get COVID. 215 00:12:22,440 --> 00:12:26,000 Speaker 1: So China for three years has been trying to say, oh, 216 00:12:26,040 --> 00:12:28,800 Speaker 1: we're gonna keep everybody from getting COVID, We're gonna test, 217 00:12:28,840 --> 00:12:32,000 Speaker 1: we're gonna we're gonna Thanks to this the model that 218 00:12:32,040 --> 00:12:35,559 Speaker 1: we have, it's far more superior to the democratic model. Well, 219 00:12:35,600 --> 00:12:40,480 Speaker 1: the rest of the world all democracies are essentially through COVID, 220 00:12:40,559 --> 00:12:43,640 Speaker 1: by which I mean the impact of COVID. We can 221 00:12:43,679 --> 00:12:46,480 Speaker 1: still have stupid decisions made like masking and everything else. 222 00:12:47,080 --> 00:12:51,400 Speaker 1: China may still have to go through buck a real 223 00:12:51,480 --> 00:12:54,800 Speaker 1: outbreak before this is all said and done. Remember the 224 00:12:54,880 --> 00:12:59,760 Speaker 1: politicization of herd immunity as a as a talking as, 225 00:12:59,840 --> 00:13:03,080 Speaker 1: as an area of discussion. We weren't allowed to talk 226 00:13:03,120 --> 00:13:05,319 Speaker 1: about herd immunity. You are a grandma killer if you 227 00:13:05,400 --> 00:13:08,320 Speaker 1: talked about her community. That's what they said. But that's 228 00:13:08,360 --> 00:13:14,599 Speaker 1: actually the way that humanity gets through viruses, aerosolis viruses, 229 00:13:14,640 --> 00:13:18,560 Speaker 1: the kind of disease that can spread population diseases. It 230 00:13:18,640 --> 00:13:20,400 Speaker 1: is through her to mune. That's the only way. And 231 00:13:20,520 --> 00:13:25,520 Speaker 1: you can go back to ancient Greece, Sparta's Siege of Athens, 232 00:13:26,080 --> 00:13:28,960 Speaker 1: and there's a fantastic book that deals with this, a 233 00:13:29,000 --> 00:13:32,199 Speaker 1: war like no other, written by Victor Davis Hansen, who 234 00:13:32,200 --> 00:13:35,320 Speaker 1: you and I both both think is fantastic. And that 235 00:13:35,440 --> 00:13:39,080 Speaker 1: was a disease. It was horrifically high fatality rate. They 236 00:13:39,120 --> 00:13:40,560 Speaker 1: didn't even know what the disease is. You know why, 237 00:13:40,600 --> 00:13:44,720 Speaker 1: because people's immune systems shifted, and you know, they eventually 238 00:13:44,800 --> 00:13:47,280 Speaker 1: got to a point where it wasn't a problem anymore. 239 00:13:47,800 --> 00:13:51,520 Speaker 1: Viruses tend to fortunately mutate in the direction of less 240 00:13:51,600 --> 00:13:54,040 Speaker 1: lethality because of the nature of what viruses want to do. 241 00:13:54,640 --> 00:13:57,880 Speaker 1: So we do have at some level herd immunity. Now 242 00:13:58,360 --> 00:14:00,800 Speaker 1: we have heard immunity to the first version of COVID, 243 00:14:00,960 --> 00:14:03,160 Speaker 1: So people will still get COVID, but they're getting a 244 00:14:03,280 --> 00:14:05,800 Speaker 1: lighter version. Look, I've had it twice. Yeah, you've had 245 00:14:05,800 --> 00:14:08,679 Speaker 1: a twice, right, Yeah, first least, first covid infection in 246 00:14:08,800 --> 00:14:11,640 Speaker 1: more than twice. Yeah, first COVID infection, I was like, 247 00:14:11,840 --> 00:14:14,000 Speaker 1: you know, whining and feeling sorry for myself because it 248 00:14:14,040 --> 00:14:16,800 Speaker 1: was so painful and rough and horrible. Second COVID infection 249 00:14:16,840 --> 00:14:18,280 Speaker 1: was a joke. I mean it was like as a 250 00:14:18,400 --> 00:14:20,960 Speaker 1: barely a sniffle. So that's where we got going on 251 00:14:21,080 --> 00:14:23,280 Speaker 1: right now. A virus that is moving. But if you're 252 00:14:23,280 --> 00:14:26,240 Speaker 1: in China and your immune system has truly never been 253 00:14:26,240 --> 00:14:28,960 Speaker 1: exposed to it, you might be up for COVID number one. 254 00:14:29,000 --> 00:14:31,040 Speaker 1: And they and their vaccines are trash, as we know, 255 00:14:31,480 --> 00:14:34,960 Speaker 1: the vaccine trash. And they also buck have no major 256 00:14:35,040 --> 00:14:38,520 Speaker 1: hospital infrastructure to actually be able to handle the wild 257 00:14:40,600 --> 00:14:43,080 Speaker 1: numbers of elderly people who have never had this virus 258 00:14:43,120 --> 00:14:45,560 Speaker 1: at all, So things can flip in a hurry. And 259 00:14:45,600 --> 00:14:47,360 Speaker 1: I'm curious to see how this is going to play out. 260 00:14:47,400 --> 00:14:49,480 Speaker 1: But Apple definitely under siege is a part of that 261 00:14:49,560 --> 00:14:53,120 Speaker 1: relationship with China. Our buddy Mike Lindell. He'll hook you 262 00:14:53,200 --> 00:14:56,600 Speaker 1: up right now with some incredible products including latest off 263 00:14:56,680 --> 00:14:59,160 Speaker 1: or six piece towel set. Set comes with two bath, 264 00:14:59,240 --> 00:15:02,120 Speaker 1: two hand towel, two wash cloths. 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The labor force 280 00:15:53,680 --> 00:15:57,680 Speaker 1: participation rate moving in the wrong direction. This is not good. 281 00:15:58,000 --> 00:16:02,200 Speaker 1: Sixty two point one, sixty two point one. That equals 282 00:16:02,720 --> 00:16:06,280 Speaker 1: the low mark which was in July also at sixty 283 00:16:06,320 --> 00:16:09,280 Speaker 1: two point one on a recent basis, to go back 284 00:16:09,320 --> 00:16:12,440 Speaker 1: in the last year lead at sixty one point six, 285 00:16:12,600 --> 00:16:16,080 Speaker 1: sixty one point four actually in January twenty twenty. So 286 00:16:16,240 --> 00:16:18,200 Speaker 1: when you look at it in the context of twenty 287 00:16:18,240 --> 00:16:22,880 Speaker 1: twenty two, it's a big disappointment. It's a mixed picture 288 00:16:23,000 --> 00:16:27,120 Speaker 1: right now with the employment side of the economy. The 289 00:16:27,360 --> 00:16:30,320 Speaker 1: numbers just came out two hundred and sixty three thousand 290 00:16:31,120 --> 00:16:34,880 Speaker 1: jobs added in November, that's the headline from today, beating 291 00:16:34,960 --> 00:16:38,160 Speaker 1: the expectation of two hundred thousand unemployment at three point 292 00:16:38,240 --> 00:16:42,200 Speaker 1: seven percent. But you have a really low labor force 293 00:16:42,240 --> 00:16:46,960 Speaker 1: participation rate relative to pre pandemic levels, Clay, you got 294 00:16:47,000 --> 00:16:52,080 Speaker 1: millions of prime or working age men in their prime 295 00:16:52,200 --> 00:16:55,520 Speaker 1: years in particular, who are just out of the labor force. 296 00:16:56,080 --> 00:16:58,480 Speaker 1: I start to think of how these numbers that we 297 00:16:58,520 --> 00:17:01,520 Speaker 1: rely on so much like, what's the employment number? Well, 298 00:17:01,520 --> 00:17:03,760 Speaker 1: it's not that helpful if you're not counting millions and 299 00:17:03,760 --> 00:17:06,840 Speaker 1: millions of people who don't even want to find jobs. Well, 300 00:17:06,880 --> 00:17:10,399 Speaker 1: and this is where I think all of this line's 301 00:17:10,480 --> 00:17:13,240 Speaker 1: up is no matter where you're listening to us, I 302 00:17:13,359 --> 00:17:15,840 Speaker 1: bet when you go into a restaurant, or I bet 303 00:17:15,840 --> 00:17:18,880 Speaker 1: when you go into a gas station, they're begging for 304 00:17:18,920 --> 00:17:22,920 Speaker 1: people to come work. So millions and millions of people, 305 00:17:22,920 --> 00:17:24,760 Speaker 1: and maybe a lot of it is just people who 306 00:17:24,760 --> 00:17:27,119 Speaker 1: were in their fifties and they were getting closer to 307 00:17:27,200 --> 00:17:29,879 Speaker 1: retirement and they just said, screw it, I'm out. But 308 00:17:30,000 --> 00:17:32,280 Speaker 1: a lot of people just vanished from our labor and 309 00:17:32,320 --> 00:17:36,280 Speaker 1: employment force such that we can't fill the open jobs 310 00:17:36,280 --> 00:17:38,640 Speaker 1: that exist right now. I believe there's nine million open 311 00:17:38,760 --> 00:17:41,560 Speaker 1: jobs in America right now. And where did all these 312 00:17:41,600 --> 00:17:44,360 Speaker 1: people go? One of the lasting impacts of the decision 313 00:17:44,440 --> 00:17:48,119 Speaker 1: to shut down our economy is we lost millions of 314 00:17:48,160 --> 00:17:50,720 Speaker 1: workers who just flat out decided we're not going to 315 00:17:50,760 --> 00:17:54,240 Speaker 1: continue to work, and the economy is having trouble dealing 316 00:17:54,280 --> 00:17:57,840 Speaker 1: with all those absences. We still could be heading into 317 00:17:58,480 --> 00:18:01,879 Speaker 1: a really big recession and economic times. So have you 318 00:18:01,880 --> 00:18:04,080 Speaker 1: seen the price of gold in the past month. It's 319 00:18:04,119 --> 00:18:06,080 Speaker 1: worth looking at if you pay attention to the markets 320 00:18:06,080 --> 00:18:09,200 Speaker 1: and inflation, gold is once again proving itself to be 321 00:18:09,240 --> 00:18:12,159 Speaker 1: a precious commodity in the face of turbulent markets and 322 00:18:12,240 --> 00:18:16,240 Speaker 1: skyrocketing inflation. At the very least, investing in gold is 323 00:18:16,280 --> 00:18:18,840 Speaker 1: the best form of protection you can find to hold 324 00:18:18,840 --> 00:18:21,720 Speaker 1: the value your savings account by investing a portion of 325 00:18:21,760 --> 00:18:23,840 Speaker 1: it at the very best, It's been proven to hold 326 00:18:23,880 --> 00:18:25,639 Speaker 1: the value for four oh one K when the stock 327 00:18:25,720 --> 00:18:29,119 Speaker 1: market gets choppy. We've seen that happen nearly every month 328 00:18:29,160 --> 00:18:31,920 Speaker 1: this year. So I rely on the Oxford Gold Group 329 00:18:31,920 --> 00:18:34,400 Speaker 1: for my gold purchases and have for years now. They're 330 00:18:34,400 --> 00:18:37,680 Speaker 1: who I trust. They're the industry leader. They get great 331 00:18:37,720 --> 00:18:40,639 Speaker 1: advice and they have a best price and guarantee if 332 00:18:40,640 --> 00:18:43,880 Speaker 1: they want long term customers who are building up a 333 00:18:43,960 --> 00:18:47,879 Speaker 1: sensible portfolio of gold for the needs of the individual 334 00:18:48,000 --> 00:18:51,280 Speaker 1: over time. Gold is good, it is solid, and it's 335 00:18:51,320 --> 00:18:53,600 Speaker 1: key to making sure that your investments and your money 336 00:18:53,680 --> 00:18:56,640 Speaker 1: is on solid footing. Call them to maximize your four 337 00:18:56,680 --> 00:18:59,080 Speaker 1: oh one K and savings now. The Oxford Gold Group 338 00:18:59,119 --> 00:19:02,280 Speaker 1: eight three three four zero four Gold eight three three 339 00:19:02,320 --> 00:19:16,840 Speaker 1: four zero four g O l d WO Welcome back 340 00:19:16,880 --> 00:19:19,919 Speaker 1: in Clay Travis Buck Sexton Show. Appreciate all of you 341 00:19:20,040 --> 00:19:22,919 Speaker 1: hanging out with us as we roll through the Friday 342 00:19:23,080 --> 00:19:26,119 Speaker 1: edition of the program. Encourage you, as we always do, 343 00:19:26,200 --> 00:19:28,920 Speaker 1: go subscribe to the podcast, make sure you don't miss 344 00:19:28,960 --> 00:19:32,920 Speaker 1: a moment. Search out my name Clay Travis. Also search 345 00:19:32,960 --> 00:19:36,440 Speaker 1: out Buck Sexton's name. Encourage you. Also, if you got 346 00:19:36,480 --> 00:19:41,760 Speaker 1: frustrated on social media and you were angry about the 347 00:19:41,800 --> 00:19:44,639 Speaker 1: way that Donald Trump was being treated by Twitter and 348 00:19:44,720 --> 00:19:48,639 Speaker 1: other social media companies, I certainly understand that, but we 349 00:19:48,800 --> 00:19:52,280 Speaker 1: have finally got a battleground with fair rules that are 350 00:19:52,359 --> 00:19:56,720 Speaker 1: right now being applied evenly on Twitter. I would encourage 351 00:19:56,760 --> 00:19:58,760 Speaker 1: all of you to search out my name Clay Travis, 352 00:19:58,760 --> 00:20:02,119 Speaker 1: search out Buck Sexton, and also go follow the show 353 00:20:02,400 --> 00:20:05,600 Speaker 1: at Clay and Buck and that way you'll be sure 354 00:20:05,600 --> 00:20:08,719 Speaker 1: that you never miss anything that we are involved in. 355 00:20:08,960 --> 00:20:13,399 Speaker 1: So Kanye West, we teased this yesterday because it was 356 00:20:13,440 --> 00:20:15,840 Speaker 1: happening during the afternoon while we were on the air. 357 00:20:15,920 --> 00:20:19,800 Speaker 1: He went on with Alex Jones wearing a black ski 358 00:20:19,920 --> 00:20:23,240 Speaker 1: cap of some sort that covered his entire face. Kanye 359 00:20:23,359 --> 00:20:26,159 Speaker 1: did and never had Alex Jones come after you. By 360 00:20:26,200 --> 00:20:28,120 Speaker 1: the way, no, not that I know of. It's coming 361 00:20:28,240 --> 00:20:31,880 Speaker 1: for you. Oh yeah, oh for what like buck sex dude, 362 00:20:32,240 --> 00:20:35,080 Speaker 1: some kind of CIA plan to turn take over conservative 363 00:20:35,080 --> 00:20:39,000 Speaker 1: media can't trust him? Look look at hair. I'm serious, 364 00:20:39,000 --> 00:20:41,040 Speaker 1: there's a whole thing. And then I had this how 365 00:20:41,040 --> 00:20:45,200 Speaker 1: long are you like seven years ago or something? Is fun? 366 00:20:45,320 --> 00:20:48,760 Speaker 1: Good times? To my knowledge, I don't. I've never met 367 00:20:48,800 --> 00:20:52,600 Speaker 1: Alex Jones. I've never heard of you know. Yeah. I 368 00:20:52,640 --> 00:20:56,080 Speaker 1: mean it's just it's just because his followers when they 369 00:20:56,160 --> 00:20:59,000 Speaker 1: come after you, you you, I honestly just want to 370 00:20:59,000 --> 00:21:01,359 Speaker 1: ask a lot of them, are you okay? It's everything okay? 371 00:21:01,480 --> 00:21:05,760 Speaker 1: Because he just filed for bankruptcy today, So he has 372 00:21:05,800 --> 00:21:08,960 Speaker 1: been bankrupted based on what he said about the Sandy 373 00:21:09,000 --> 00:21:12,880 Speaker 1: Hook shooting back in Connecticut whatever that was like ten 374 00:21:13,000 --> 00:21:15,879 Speaker 1: years ago. Now it wasn't a billion A billion dollar 375 00:21:16,160 --> 00:21:20,719 Speaker 1: defamations over a billion dollars, I think in verdicts against 376 00:21:20,840 --> 00:21:24,040 Speaker 1: him now, I don't believe those are permissible under Texas 377 00:21:24,119 --> 00:21:28,680 Speaker 1: law because there's a limit to punitive damages I believe, 378 00:21:28,680 --> 00:21:31,160 Speaker 1: and I'm not an expert on damages in Texas law, 379 00:21:31,240 --> 00:21:32,840 Speaker 1: so I think a lot of that will get struck 380 00:21:32,880 --> 00:21:36,679 Speaker 1: down an appeal. But he's been in broid in litigation 381 00:21:36,880 --> 00:21:40,800 Speaker 1: for so long at this point that he effectively has 382 00:21:40,840 --> 00:21:43,399 Speaker 1: to declare bankruptcy. So we'll see what ends up happening 383 00:21:43,400 --> 00:21:45,639 Speaker 1: with those companies into his assets and everything else. And 384 00:21:45,680 --> 00:21:51,720 Speaker 1: I don't necessarily love the concept of you can bankrupt 385 00:21:51,960 --> 00:21:58,480 Speaker 1: someone based on entire opinions, because it's because it's the 386 00:21:58,560 --> 00:22:02,000 Speaker 1: slippery slope in some way. Because while I think he 387 00:22:02,119 --> 00:22:05,359 Speaker 1: was wrong and virtually everything that he said about Sandy Hook, 388 00:22:06,040 --> 00:22:07,639 Speaker 1: you know, we got this law that was passed. We 389 00:22:07,640 --> 00:22:10,280 Speaker 1: talked a little bit about this buck in California that 390 00:22:10,320 --> 00:22:13,760 Speaker 1: would limit, for instance, what physicians are able to say 391 00:22:14,240 --> 00:22:17,760 Speaker 1: about medical related issues over COVID. And I think the 392 00:22:17,840 --> 00:22:22,400 Speaker 1: idea of restricting speech in general just makes me nervous 393 00:22:22,600 --> 00:22:25,479 Speaker 1: in terms of what the precedents we're setting could be. 394 00:22:25,640 --> 00:22:29,720 Speaker 1: We we've really gone as a society very far from 395 00:22:30,160 --> 00:22:33,960 Speaker 1: what free speech is supposed to mean. This is something 396 00:22:33,960 --> 00:22:36,359 Speaker 1: that I think even on the right now there's this well, 397 00:22:36,400 --> 00:22:38,600 Speaker 1: I mean, you know, you can't say something that's like 398 00:22:39,080 --> 00:22:43,040 Speaker 1: really mean or really false. That's actually not the free 399 00:22:43,040 --> 00:22:46,080 Speaker 1: speech principle that was enshrined both in the Constitution and 400 00:22:46,119 --> 00:22:49,399 Speaker 1: have held many times by the Supreme Court, as we know, 401 00:22:50,080 --> 00:22:53,760 Speaker 1: really ugly, really horrible speech. If speech that is not hated, 402 00:22:54,880 --> 00:22:57,720 Speaker 1: now there are limitations that we can discuss those limitations, right, 403 00:22:57,720 --> 00:23:00,320 Speaker 1: But if speech is a general matter that is not 404 00:23:01,520 --> 00:23:04,439 Speaker 1: If speech that is hated is not protected, what is 405 00:23:04,440 --> 00:23:07,480 Speaker 1: the purpose of free speech protection? You have to you 406 00:23:07,520 --> 00:23:09,560 Speaker 1: have to get in. I mean remember the ACLU, which 407 00:23:09,600 --> 00:23:12,840 Speaker 1: is now just a left wing advocacy group, used to 408 00:23:12,840 --> 00:23:16,920 Speaker 1: be an organization that we obviously think about the Nazis 409 00:23:16,960 --> 00:23:20,200 Speaker 1: marketing marching in Skokie, Illinois. That's the thing that's probably 410 00:23:20,200 --> 00:23:22,760 Speaker 1: the most famous free speech case that exists in the 411 00:23:22,800 --> 00:23:26,200 Speaker 1: Supreme Court. What could be more horrible than Nazis marching 412 00:23:26,240 --> 00:23:29,440 Speaker 1: specifically because there were a lot of Holocaust survivors in Skokie, Illinois, 413 00:23:29,480 --> 00:23:33,040 Speaker 1: that's right, a group of them there. Supreme Court said, look, 414 00:23:33,040 --> 00:23:36,919 Speaker 1: it's disgusting, it's disgraceful, of course, and it is. But 415 00:23:37,760 --> 00:23:40,679 Speaker 1: that once you start entering these value judgments of I 416 00:23:40,760 --> 00:23:44,000 Speaker 1: really dislike the things you say so much. Now that's 417 00:23:44,040 --> 00:23:47,960 Speaker 1: on the government side. What does twitter free speech mean? Right? 418 00:23:48,160 --> 00:23:50,360 Speaker 1: The government saying you can't do something is one thing, 419 00:23:50,400 --> 00:23:53,399 Speaker 1: and the government has has blurred those lines between public 420 00:23:53,400 --> 00:23:57,199 Speaker 1: and private with Twitter and other platforms over COVID. What 421 00:23:57,240 --> 00:24:00,639 Speaker 1: does free speech really mean on Twitter? That you're not 422 00:24:00,760 --> 00:24:08,040 Speaker 1: right now, in particular when it's high intensity, high passion, 423 00:24:08,760 --> 00:24:12,960 Speaker 1: uncertain details. And I think COVID is a perfect example 424 00:24:12,960 --> 00:24:17,000 Speaker 1: of that because the way that Twitter was implementing their policies, 425 00:24:17,440 --> 00:24:20,679 Speaker 1: they were banning people for saying things that ended up 426 00:24:20,720 --> 00:24:24,640 Speaker 1: being true. And with that in mind, Alex Jones had 427 00:24:24,760 --> 00:24:29,640 Speaker 1: Kanye West on and Kanye West has just really, I mean, 428 00:24:29,640 --> 00:24:33,040 Speaker 1: it's unfortunate. He's really he's having a mental breakdown. He's 429 00:24:33,080 --> 00:24:34,399 Speaker 1: having a breakdown. He's a good way of putting it. 430 00:24:34,480 --> 00:24:36,160 Speaker 1: Here's what he had to say. I see good things 431 00:24:36,200 --> 00:24:39,879 Speaker 1: about Hitler. Also the Jews. I love everyone, and Jewish 432 00:24:39,880 --> 00:24:42,720 Speaker 1: people are not going to tell me. You can love 433 00:24:45,280 --> 00:24:47,800 Speaker 1: you know us, and you can love what we're doing 434 00:24:47,800 --> 00:24:50,040 Speaker 1: to you with the contracts, and you can love what 435 00:24:50,080 --> 00:24:53,119 Speaker 1: we're you know what we're pushing with the pornography. But 436 00:24:53,560 --> 00:24:57,600 Speaker 1: this guy that invent at highways, invent at the very 437 00:24:57,640 --> 00:25:00,720 Speaker 1: microphone that I use as a musician, can't say out 438 00:25:00,720 --> 00:25:03,760 Speaker 1: loud that this person ever did anything good. And I'm 439 00:25:03,800 --> 00:25:08,000 Speaker 1: done with that. I'm done with the classifications. Every human 440 00:25:08,040 --> 00:25:11,119 Speaker 1: being has something of value that they brought to the table, 441 00:25:11,840 --> 00:25:16,879 Speaker 1: especially Hitler, especially Hitler, when you find yourself buck in 442 00:25:16,880 --> 00:25:19,679 Speaker 1: a situation where you are saying, you know, Hitler, when 443 00:25:19,720 --> 00:25:23,240 Speaker 1: you really examine the full historical record, got a bad rap, 444 00:25:23,520 --> 00:25:27,520 Speaker 1: which is effectively what Kanye West is saying. You really 445 00:25:27,600 --> 00:25:31,880 Speaker 1: kind of have lost the plot points. And it's it's 446 00:25:32,440 --> 00:25:39,360 Speaker 1: it's look, it's it's manifestly self discrediting and sad. I mean, 447 00:25:39,359 --> 00:25:46,120 Speaker 1: this is it's sad. There's something deeply, honestly inhumane about 448 00:25:46,240 --> 00:25:49,159 Speaker 1: this guy getting all this attention by people that are 449 00:25:49,520 --> 00:25:51,120 Speaker 1: that are you know, once the message is out there 450 00:25:51,160 --> 00:25:53,520 Speaker 1: millions of times, it becomes a thing now that everyone's 451 00:25:53,520 --> 00:25:56,800 Speaker 1: going to be discussing and and people are taking advantage. 452 00:25:56,840 --> 00:25:58,600 Speaker 1: I think of what is a I mean, just a 453 00:25:58,640 --> 00:26:02,800 Speaker 1: mental health break from reality that this guy that Kanye 454 00:26:02,960 --> 00:26:06,440 Speaker 1: is having. And and I think though it raises interesting 455 00:26:06,520 --> 00:26:09,520 Speaker 1: questions because he was kicked off of Twitter. So Kanye 456 00:26:09,600 --> 00:26:11,360 Speaker 1: has been kicked off of Twitter, right, I think he's 457 00:26:11,359 --> 00:26:15,320 Speaker 1: suspended technically, not not banned, right, So he's uh, and 458 00:26:15,400 --> 00:26:17,480 Speaker 1: I don't know what it has to do. Well. I 459 00:26:17,480 --> 00:26:20,360 Speaker 1: think when you're suspended, you could theoretically come back, right, 460 00:26:20,480 --> 00:26:22,720 Speaker 1: My understanding was everybody like all the people that lost 461 00:26:22,760 --> 00:26:26,120 Speaker 1: their accounts were suspended. Well that's true. Well that's interesting. 462 00:26:26,160 --> 00:26:28,440 Speaker 1: I think I think that Musk would be likely to 463 00:26:28,480 --> 00:26:31,240 Speaker 1: bring back Kanye at some point. He's trying to allow 464 00:26:31,280 --> 00:26:34,080 Speaker 1: everybody to be on the site, Whereas I don't think 465 00:26:34,119 --> 00:26:36,320 Speaker 1: if if Elon Musk hadn't bought Twitter, I don't know 466 00:26:36,359 --> 00:26:39,200 Speaker 1: that Trump. Because here's my point. I think when you're 467 00:26:39,200 --> 00:26:42,320 Speaker 1: talking about the government, if you believe in free speech, 468 00:26:42,359 --> 00:26:45,639 Speaker 1: you have to be effectively an absolutist on free speech. 469 00:26:45,680 --> 00:26:48,280 Speaker 1: Because if the government can say you can't say this 470 00:26:48,320 --> 00:26:51,400 Speaker 1: because we think it's really ugly or really untrue, well 471 00:26:51,440 --> 00:26:53,119 Speaker 1: they can do that on a whole range of issues. 472 00:26:53,400 --> 00:26:56,280 Speaker 1: For Twitter is a it's a true private company, right, 473 00:26:56,320 --> 00:26:59,080 Speaker 1: I mean, it's not even publicly traded anymore. It's Elon's company. 474 00:26:59,480 --> 00:27:01,399 Speaker 1: It is a i've ad company. It can do what 475 00:27:01,480 --> 00:27:05,080 Speaker 1: it wants. How far does the free speech principle as 476 00:27:05,080 --> 00:27:09,439 Speaker 1: opposed to constitutional protection extend in the context of Twitter. 477 00:27:10,400 --> 00:27:13,280 Speaker 1: We'll see, because it's you know, it started out. Who 478 00:27:13,359 --> 00:27:16,960 Speaker 1: was the first guy to effectively get de interneted if 479 00:27:17,000 --> 00:27:19,600 Speaker 1: you will, or deep person from the internet. First one 480 00:27:19,640 --> 00:27:24,320 Speaker 1: that I remember was Alex Jones actually YouTube, Google, Facebook, 481 00:27:24,400 --> 00:27:26,480 Speaker 1: they got them all off. And that was because the 482 00:27:26,560 --> 00:27:28,960 Speaker 1: guy says crazy things. In the case of Sandy Hook 483 00:27:29,000 --> 00:27:32,880 Speaker 1: said just viciously in human things, but true things, which 484 00:27:32,920 --> 00:27:37,600 Speaker 1: is but that's that's what I mean. And and but 485 00:27:37,880 --> 00:27:41,040 Speaker 1: then it turned into oh, you say, masks don't work. Boom, 486 00:27:41,080 --> 00:27:43,680 Speaker 1: you're done too. That's right, right, So we're basically gonna 487 00:27:43,720 --> 00:27:48,240 Speaker 1: have to gear up for this is gonna be. I 488 00:27:48,240 --> 00:27:51,199 Speaker 1: don't know how many of you are familiar with the 489 00:27:51,320 --> 00:27:56,320 Speaker 1: liver King I am. I'm somebody who if you go 490 00:27:56,359 --> 00:27:59,320 Speaker 1: on my Instagram or my my I do have TikTok 491 00:27:59,320 --> 00:28:01,320 Speaker 1: and oh my god, I'm not specific TikTok, but I 492 00:28:01,600 --> 00:28:03,200 Speaker 1: just look at it. I don't post on it. Really 493 00:28:03,520 --> 00:28:04,919 Speaker 1: I might change I might change my mind on that. 494 00:28:04,960 --> 00:28:08,000 Speaker 1: At some point. I look big tech as a spying 495 00:28:08,040 --> 00:28:11,240 Speaker 1: mechanism across the board. So just pick your spying. But 496 00:28:11,920 --> 00:28:14,200 Speaker 1: if you go on these these platforms, you'll see there's 497 00:28:14,200 --> 00:28:16,960 Speaker 1: a lot of mine is it's cooking steak, it's working out, 498 00:28:17,040 --> 00:28:19,600 Speaker 1: and it's like life advice and hacks like you know, 499 00:28:19,720 --> 00:28:22,239 Speaker 1: can you know stoic wisdom? Things like that. Those are 500 00:28:22,280 --> 00:28:27,719 Speaker 1: my favorite topics. Oh and bulldogs of all English French bulldogs. 501 00:28:27,760 --> 00:28:31,119 Speaker 1: That's really you know, I'm cooking steaks with French bulldogs 502 00:28:31,119 --> 00:28:34,480 Speaker 1: on skateboards while people are talking about how to lead 503 00:28:34,480 --> 00:28:38,720 Speaker 1: a good and balanced and a great life and sort 504 00:28:38,760 --> 00:28:41,440 Speaker 1: of the Greco Roman tradition of the agents. Anyway, that's 505 00:28:41,480 --> 00:28:43,480 Speaker 1: that's what it. But I do see this guy, Liver 506 00:28:43,600 --> 00:28:45,960 Speaker 1: King and I have for a while, and I don't 507 00:28:45,960 --> 00:28:48,520 Speaker 1: even know his real name. If you're not familiar with him, 508 00:28:49,960 --> 00:28:55,840 Speaker 1: he is a very muscily fellow who advocates the eating 509 00:28:56,000 --> 00:29:02,240 Speaker 1: of liver, obviously liver and also other Oregon to include Uh, 510 00:29:02,440 --> 00:29:06,200 Speaker 1: bull testes. Are you familiar? You know that he eats 511 00:29:06,440 --> 00:29:08,560 Speaker 1: a lot of crazy stuff that he eats. But I'm 512 00:29:08,600 --> 00:29:12,040 Speaker 1: just I'm wincing at the idea of eating bull bull testicles. 513 00:29:12,080 --> 00:29:16,080 Speaker 1: But he's I believe they're called rocky Mountain oysters. Uh seriously, 514 00:29:16,160 --> 00:29:18,920 Speaker 1: that's a thing. But he Anyway, there are all these 515 00:29:19,000 --> 00:29:21,240 Speaker 1: videos of it, and he has gotten a massive social 516 00:29:21,240 --> 00:29:24,720 Speaker 1: media following. And I will say, as the performance art, 517 00:29:24,800 --> 00:29:27,280 Speaker 1: I like the guy. I'm I actually the least of 518 00:29:27,280 --> 00:29:28,920 Speaker 1: the thing. It was. It was entertaining. He talks about 519 00:29:28,920 --> 00:29:33,120 Speaker 1: being primal, living a life of your ancestors. He's essentially 520 00:29:33,160 --> 00:29:38,520 Speaker 1: another iteration of the uh, what what's the you know? 521 00:29:38,640 --> 00:29:44,240 Speaker 1: Keto caveman life, Paleo died, Paleo, thank you. That's what 522 00:29:44,400 --> 00:29:48,480 Speaker 1: I was looking for, Paleo um. And unfortunately it has 523 00:29:48,520 --> 00:29:50,520 Speaker 1: come out that, by the way, do we have any 524 00:29:50,560 --> 00:29:52,440 Speaker 1: audio from him? I'm trying to think of who they are. 525 00:29:52,480 --> 00:29:56,120 Speaker 1: He's apologized. Now, oh, let's let's here. Here is the 526 00:29:56,160 --> 00:29:59,760 Speaker 1: liver King uh saying well, people have said he used 527 00:29:59,760 --> 00:30:04,000 Speaker 1: toteroids a lot, a lot, a lot. Here's what he says. Yes, 528 00:30:04,720 --> 00:30:09,200 Speaker 1: I've done steroids, and yes I'm on steroids monitored and 529 00:30:09,320 --> 00:30:13,240 Speaker 1: managed by a trained hormone clinician. Liver King the public 530 00:30:13,280 --> 00:30:15,960 Speaker 1: figure was an experiment to spread the message, to bring 531 00:30:16,000 --> 00:30:20,440 Speaker 1: awareness to the four thousand people a day who kill themselves, 532 00:30:20,480 --> 00:30:23,440 Speaker 1: that eighty thousand people a day that tried to kill 533 00:30:23,520 --> 00:30:26,760 Speaker 1: themselves are people are hurting at record rates with depression, 534 00:30:26,960 --> 00:30:33,640 Speaker 1: autoimmune anxiety, infertility, low ambition in life. While spreading the message, 535 00:30:33,800 --> 00:30:36,600 Speaker 1: I've been on several podcasts and when asked if I've 536 00:30:36,640 --> 00:30:40,320 Speaker 1: ever taken steroids, I've always said, no, I don't touch 537 00:30:40,320 --> 00:30:42,880 Speaker 1: the stuff. Not gonna touch the stuff, never touch the 538 00:30:42,920 --> 00:30:49,000 Speaker 1: stuff that was a lot. Okay, I gotta say I 539 00:30:49,080 --> 00:30:51,880 Speaker 1: like this guy because he talks about spending time with 540 00:30:51,920 --> 00:30:57,360 Speaker 1: your family, talks about getting sun, working out, being a 541 00:30:57,440 --> 00:31:00,600 Speaker 1: traditional masculinity. I like a lot of a message. My 542 00:31:00,760 --> 00:31:04,080 Speaker 1: frustration here is just twofold one. A lot of people 543 00:31:04,240 --> 00:31:06,560 Speaker 1: feel really let down and kind of betrayed by this 544 00:31:06,720 --> 00:31:09,800 Speaker 1: people that looked up to this guy. And that's that's bothersome, right, 545 00:31:09,840 --> 00:31:12,000 Speaker 1: I mean, that's something that And then the other part 546 00:31:12,040 --> 00:31:13,280 Speaker 1: of it, Clay, is if people I know this is 547 00:31:13,320 --> 00:31:16,400 Speaker 1: doing huge traffic on OutKick this story. People loved this story. 548 00:31:16,440 --> 00:31:19,239 Speaker 1: I mean I knew the guy was popular. I didn't know. 549 00:31:19,440 --> 00:31:21,719 Speaker 1: And I will just say this Buck, when we were 550 00:31:21,720 --> 00:31:26,960 Speaker 1: talking off air, anybody who is insanely super ripped, I 551 00:31:27,120 --> 00:31:30,040 Speaker 1: just always assume that they're on steroids. This is this 552 00:31:30,160 --> 00:31:33,320 Speaker 1: is exactly you could get as ripped as this guy 553 00:31:33,640 --> 00:31:36,520 Speaker 1: is just by doing push ups and sit ups and 554 00:31:36,600 --> 00:31:39,280 Speaker 1: like squats. Is when you when you add, I mean 555 00:31:39,400 --> 00:31:43,560 Speaker 1: very look I am. I am. I'm a desk radio 556 00:31:43,680 --> 00:31:46,680 Speaker 1: guy who is like trying to fit into his suit 557 00:31:46,800 --> 00:31:51,680 Speaker 1: for the wedding. Right, enough time in gyms, enough time 558 00:31:51,680 --> 00:31:54,120 Speaker 1: in gyms, enough time doing these things that you can 559 00:31:54,120 --> 00:31:56,040 Speaker 1: look at people and I've known liver Kick was on 560 00:31:56,040 --> 00:31:58,520 Speaker 1: steroids all along. And I'm just an amateur, who's you know, 561 00:31:58,560 --> 00:32:00,960 Speaker 1: I'm at best at advanced beginner or in the gym. 562 00:32:01,160 --> 00:32:05,160 Speaker 1: But the problem play is that it's all an arms race. Literally, 563 00:32:05,360 --> 00:32:08,480 Speaker 1: look at see what I did there? Yes, And there's 564 00:32:08,560 --> 00:32:13,400 Speaker 1: so much HGH and testosterone and serious steroids and trend 565 00:32:13,480 --> 00:32:16,719 Speaker 1: and cycles and younger people in particular guys look at 566 00:32:16,760 --> 00:32:21,720 Speaker 1: these enormously jack people. It's fake as in they didn't 567 00:32:21,760 --> 00:32:25,600 Speaker 1: get there by just doing some extra pushups, and it 568 00:32:25,680 --> 00:32:27,680 Speaker 1: really under you know, people that are making progress and 569 00:32:27,720 --> 00:32:30,040 Speaker 1: gains the gym, they're like, why isn't it faster? Because 570 00:32:30,040 --> 00:32:32,360 Speaker 1: the people you think are so great on Instagram are 571 00:32:32,440 --> 00:32:35,640 Speaker 1: taking steroids a lot of the time. Yeah, there's a 572 00:32:35,640 --> 00:32:38,520 Speaker 1: lot of falsehood and the same thing I like, the 573 00:32:38,680 --> 00:32:41,600 Speaker 1: kids like it here in the Travis household, the WWE wrestling, 574 00:32:41,920 --> 00:32:44,920 Speaker 1: I mean those guys too. It's a lot of sham there.