1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,720 Speaker 1: Sexton Show podcast. Welcome and everybody, Monday edition of The 3 00:00:07,880 --> 00:00:11,039 Speaker 1: Clay Travis and Buck Sexton Show. I'm back after Clay 4 00:00:11,520 --> 00:00:14,600 Speaker 1: had the con solo on Friday. We've got a lot 5 00:00:14,680 --> 00:00:19,400 Speaker 1: to talk to you about today. Another Twitter files dump, 6 00:00:20,640 --> 00:00:25,160 Speaker 1: a big drop of info from an inside of Twitter HQ, 7 00:00:26,079 --> 00:00:30,680 Speaker 1: but also some fantastic tweets from Elon Musk, who has 8 00:00:30,840 --> 00:00:34,880 Speaker 1: clearly been red pilled at some level, clearly aware of 9 00:00:35,479 --> 00:00:39,400 Speaker 1: the war against Wokeness and its importance. In fact, he says, 10 00:00:40,520 --> 00:00:43,440 Speaker 1: if you don't win the war against Wokeness, nothing else matters. 11 00:00:43,440 --> 00:00:45,960 Speaker 1: I actually don't think that's an exaggeration. I think that 12 00:00:46,040 --> 00:00:49,879 Speaker 1: Wokeness is a movement that could destroy is trying to 13 00:00:49,920 --> 00:00:51,839 Speaker 1: destroy America as we know it and with it, the 14 00:00:51,880 --> 00:00:55,200 Speaker 1: free world. We will get into some of that for sure. 15 00:00:55,280 --> 00:00:59,080 Speaker 1: We also have a very well known former Navy seal 16 00:00:59,160 --> 00:01:03,880 Speaker 1: named Kristen Beck has now come out as a detransitioning 17 00:01:04,640 --> 00:01:09,200 Speaker 1: trans individual and says that it was the worst mistake 18 00:01:09,280 --> 00:01:12,280 Speaker 1: of I believe now we're supposed to say his. It 19 00:01:12,319 --> 00:01:14,880 Speaker 1: has always been his. For a while, they said she 20 00:01:15,920 --> 00:01:20,000 Speaker 1: or hers, and now they're using they because they don't know, 21 00:01:20,800 --> 00:01:24,840 Speaker 1: because mister Beck for a while it seemed, did not know, 22 00:01:25,040 --> 00:01:28,520 Speaker 1: but has now come to the final conclusion that he 23 00:01:28,680 --> 00:01:31,520 Speaker 1: is in fact a he. And the lib media is 24 00:01:31,520 --> 00:01:33,920 Speaker 1: going to be very well. They're going to try to 25 00:01:34,000 --> 00:01:36,080 Speaker 1: not cover this at all, and to the degree they 26 00:01:36,120 --> 00:01:38,240 Speaker 1: get around it at all, we will see them do 27 00:01:38,319 --> 00:01:42,000 Speaker 1: everything in their power to undermine it and all the 28 00:01:42,040 --> 00:01:45,120 Speaker 1: rest of it. Also interesting, Clay that you're now seeing 29 00:01:45,240 --> 00:01:53,120 Speaker 1: online extremism experts and LGBTQ advocates are expressing skepticism about 30 00:01:53,160 --> 00:01:58,880 Speaker 1: the Club Q shooting suspects non binary identity. So for 31 00:01:58,920 --> 00:02:01,800 Speaker 1: the first time that I mean this that I have 32 00:02:01,920 --> 00:02:06,200 Speaker 1: ever seen non binary identity can in fact be challenged. 33 00:02:06,200 --> 00:02:08,960 Speaker 1: You can't just say and feel I am non binary. 34 00:02:09,240 --> 00:02:11,760 Speaker 1: We can get into this in a little bit. And 35 00:02:11,800 --> 00:02:14,600 Speaker 1: then just you probably saw off the weekend a thousand 36 00:02:14,600 --> 00:02:18,000 Speaker 1: migrants in line at the Rio Grand waiting to make 37 00:02:18,040 --> 00:02:21,040 Speaker 1: the final stage of their journey title forty two. We 38 00:02:21,120 --> 00:02:23,360 Speaker 1: all remember that from the pandemic It's about to expire, 39 00:02:24,240 --> 00:02:27,040 Speaker 1: talk about immigration the border. Oh, we've also got Bill 40 00:02:27,080 --> 00:02:32,560 Speaker 1: O'Reilly joining and Benjamin Netan Yahoo Bibi the Prime Minister 41 00:02:32,680 --> 00:02:34,720 Speaker 1: once again of Israel. That'll be in the second and 42 00:02:34,800 --> 00:02:40,040 Speaker 1: third hour of program, respectively. Mister Clay, the Twitter files 43 00:02:40,120 --> 00:02:46,400 Speaker 1: revelations completely ignored by the media at some level. I 44 00:02:46,440 --> 00:02:50,560 Speaker 1: think it's fascinating because everything that we have said, meaning 45 00:02:50,560 --> 00:02:53,079 Speaker 1: you and me, but also a fair amount of conservatives 46 00:02:53,120 --> 00:02:55,480 Speaker 1: who honestly who have been following this all along, what 47 00:02:55,600 --> 00:02:59,640 Speaker 1: we've said about this has now been proven true. But 48 00:02:59,720 --> 00:03:01,679 Speaker 1: it's seems that one of the tactics here is to 49 00:03:01,800 --> 00:03:05,760 Speaker 1: say it's a nothing burger when we have the actual 50 00:03:06,000 --> 00:03:09,639 Speaker 1: proof to show that Twitter was acting in a partisan 51 00:03:09,639 --> 00:03:12,560 Speaker 1: way to throw elections, to kick Donald Trump to sitting president. 52 00:03:12,600 --> 00:03:15,840 Speaker 1: Off of media because we kind of knew was going 53 00:03:15,880 --> 00:03:18,480 Speaker 1: on beforehand. This seems to be one of the arguments 54 00:03:18,480 --> 00:03:21,920 Speaker 1: that we're being met with. It's moved very quickly, and 55 00:03:22,000 --> 00:03:24,840 Speaker 1: you have to pay attention because otherwise you can miss it. 56 00:03:25,200 --> 00:03:29,720 Speaker 1: But it's moved very quickly to your right wing conspiracy 57 00:03:29,840 --> 00:03:34,880 Speaker 1: theorist that isn't happening on a huge variety of subjects, 58 00:03:34,960 --> 00:03:40,480 Speaker 1: but certainly on big tech collusion with the Democrat Party too. Well, 59 00:03:40,520 --> 00:03:43,520 Speaker 1: of course this is happening, and it's a good thing, 60 00:03:44,200 --> 00:03:48,680 Speaker 1: and you can't just glide over this and avoid what 61 00:03:48,880 --> 00:03:52,920 Speaker 1: is happening in terms of the narrative transition, because this 62 00:03:53,040 --> 00:03:57,160 Speaker 1: is I believe the biggest story what Elon Musk is 63 00:03:57,160 --> 00:04:01,680 Speaker 1: doing right now. It makes Watergate seem like Jaywalking. And 64 00:04:01,760 --> 00:04:08,760 Speaker 1: the fact that The New York Times, The Washington Post, CBS, NBCCNN, MSNBC, ABC, 65 00:04:09,280 --> 00:04:13,120 Speaker 1: they're all pretending the story doesn't exist because they are 66 00:04:13,240 --> 00:04:16,520 Speaker 1: part and parcel of this story because prior to now 67 00:04:16,920 --> 00:04:20,200 Speaker 1: they have helped to ensure that this big tech collusion 68 00:04:20,320 --> 00:04:22,480 Speaker 1: is going on. Because it's not just big tech collusion 69 00:04:22,839 --> 00:04:26,560 Speaker 1: between the Biden administration, which we're going to get to, 70 00:04:26,720 --> 00:04:29,640 Speaker 1: I think very soon, but also their allies in the media. 71 00:04:29,960 --> 00:04:33,479 Speaker 1: So this is a three way massive collusion. All of 72 00:04:33,520 --> 00:04:36,800 Speaker 1: them were effectively on the same team, and they were 73 00:04:36,920 --> 00:04:40,520 Speaker 1: rigging elections in favor of Democrats, and you and I 74 00:04:40,640 --> 00:04:43,839 Speaker 1: and many people out there could tell by the way 75 00:04:43,880 --> 00:04:48,560 Speaker 1: the evidence existed, that is, just by looking at the evidence, 76 00:04:48,880 --> 00:04:52,279 Speaker 1: you could tell that something improper was happening in this regard. 77 00:04:52,600 --> 00:04:56,919 Speaker 1: And what's now occurred is Elon Musk has provided smoking 78 00:04:57,000 --> 00:04:59,479 Speaker 1: gun evidence. We were seeing the tip of the iceberg, 79 00:05:00,080 --> 00:05:02,360 Speaker 1: and now we know the foundation of the iceberg, and 80 00:05:02,400 --> 00:05:05,160 Speaker 1: it's all there and they're pretending it doesn't exist. And 81 00:05:05,240 --> 00:05:10,440 Speaker 1: even crazier, Buck, they're sometimes covering reactions two stories that 82 00:05:10,520 --> 00:05:12,960 Speaker 1: come out of the Twitter files as opposed to the 83 00:05:12,960 --> 00:05:16,479 Speaker 1: Twitter files themselves. For instance, if you say something bad 84 00:05:16,600 --> 00:05:20,560 Speaker 1: about Joel Roth, who was, it appears now one of 85 00:05:20,600 --> 00:05:23,440 Speaker 1: the kingpins of the rig job that was going on 86 00:05:23,480 --> 00:05:27,839 Speaker 1: at Twitter, that's a story. Elon Musk's own political opinions, 87 00:05:28,040 --> 00:05:32,640 Speaker 1: that's a story. Donald Trump's opinions of the revelation is 88 00:05:32,680 --> 00:05:36,520 Speaker 1: a story. But the underlying story itself is not news. 89 00:05:36,560 --> 00:05:39,040 Speaker 1: And I'll just point this out, Buck, how dishonest that is. 90 00:05:39,520 --> 00:05:42,800 Speaker 1: If you are saying, as all of these big left 91 00:05:42,839 --> 00:05:46,360 Speaker 1: wing media outlets are, this is not a story. This 92 00:05:46,440 --> 00:05:48,880 Speaker 1: is a nothing burger. We all knew this was going on. 93 00:05:49,560 --> 00:05:54,000 Speaker 1: Then why are their stories about the reactions to the story. 94 00:05:54,320 --> 00:05:57,640 Speaker 1: If it's not a story, then certainly the reaction to 95 00:05:57,680 --> 00:06:00,200 Speaker 1: the story wouldn't be a story. And they covered Trump 96 00:06:00,400 --> 00:06:03,160 Speaker 1: and his reaction to this more than they did the 97 00:06:03,200 --> 00:06:06,400 Speaker 1: actual underlying story itself. How how can you justify it? 98 00:06:06,560 --> 00:06:08,960 Speaker 1: If it's not a story, then certainly the reaction to 99 00:06:09,000 --> 00:06:12,240 Speaker 1: a story shouldn't be a story either. And yet everything 100 00:06:12,279 --> 00:06:15,760 Speaker 1: that we thought about them, including the kinds of characters 101 00:06:15,839 --> 00:06:22,160 Speaker 1: who are making these decisions is entirely accurate. There's no 102 00:06:22,200 --> 00:06:23,840 Speaker 1: part of this. As we see more and more of 103 00:06:23,880 --> 00:06:27,720 Speaker 1: the internal information, and I keep trying to remind everybody 104 00:06:27,800 --> 00:06:31,360 Speaker 1: what you see unfolding before your eyes if you read 105 00:06:31,400 --> 00:06:35,400 Speaker 1: these Twitter files dumps at Twitter is exactly the same 106 00:06:35,400 --> 00:06:41,799 Speaker 1: mentality approach partisan Shenetigan's election rigging that you have still 107 00:06:41,839 --> 00:06:46,279 Speaker 1: to this day at Google and Facebook and Amazon and 108 00:06:46,400 --> 00:06:50,600 Speaker 1: different massive tech companies where you have the same kinds 109 00:06:50,600 --> 00:06:54,240 Speaker 1: of people in charge. The woke find ways to exercise 110 00:06:54,320 --> 00:06:57,799 Speaker 1: the levels of power inside these institutions, and they either 111 00:06:57,920 --> 00:07:01,840 Speaker 1: co opt, threaten, or just push out anyone who does 112 00:07:01,880 --> 00:07:05,479 Speaker 1: not initially share their ideology. So, as I've said, they're 113 00:07:05,520 --> 00:07:07,680 Speaker 1: like an invasive species. They come in and they upset 114 00:07:07,680 --> 00:07:10,440 Speaker 1: the entire environment, the entire ecosystem, and then all of 115 00:07:10,480 --> 00:07:13,200 Speaker 1: a sudden, that's all that there can be. Wokeness cannot 116 00:07:13,240 --> 00:07:18,000 Speaker 1: coexist with other ideas and ideologies in a company and 117 00:07:18,080 --> 00:07:20,760 Speaker 1: honestly in a country, which is why I thought, I mean, 118 00:07:20,840 --> 00:07:25,160 Speaker 1: some of Elon's tweets over the weekend, we're absolutely phenomenal. 119 00:07:25,400 --> 00:07:28,000 Speaker 1: He's doing an incredible job of making the case. First 120 00:07:28,000 --> 00:07:30,600 Speaker 1: of all, when he says, I know you love this 121 00:07:30,600 --> 00:07:35,760 Speaker 1: one when he says his pronouns are fire or prosecute 122 00:07:36,200 --> 00:07:39,680 Speaker 1: and Faucci Yeah, which got a lot of attention from 123 00:07:39,840 --> 00:07:42,239 Speaker 1: from the Fauci defenders who are who are a legion 124 00:07:42,840 --> 00:07:44,840 Speaker 1: in the left wing media. They still pretend that Fauci 125 00:07:44,920 --> 00:07:47,200 Speaker 1: was not the worst person in history. And what I 126 00:07:47,240 --> 00:07:50,000 Speaker 1: think is significant about this book is I think his 127 00:07:50,080 --> 00:07:55,000 Speaker 1: favorite pronounce prosecute Fauci. Elon Musk is I believe hinting 128 00:07:55,120 --> 00:07:58,000 Speaker 1: at what the revelations are going to be as it 129 00:07:58,040 --> 00:08:01,560 Speaker 1: pertains to COVID and doctor foul Cheese role in helping 130 00:08:01,560 --> 00:08:06,000 Speaker 1: to ensure that censorship exists on Twitter's platform, because that 131 00:08:06,160 --> 00:08:09,440 Speaker 1: got a lot of attention. But to me, I definitely 132 00:08:09,960 --> 00:08:13,240 Speaker 1: would be stunned if there isn't a massive amount of 133 00:08:13,320 --> 00:08:17,160 Speaker 1: underlying support for Fauci's behavior as it pertains to COVID 134 00:08:17,200 --> 00:08:20,600 Speaker 1: censorship associated directly with Twitter. That's what jumped out to me. 135 00:08:20,640 --> 00:08:22,880 Speaker 1: I mean, he's right, We've been saying prosecute Fauci for 136 00:08:22,920 --> 00:08:25,880 Speaker 1: a long time. This guy, I believe should be serving 137 00:08:26,120 --> 00:08:28,080 Speaker 1: time in prison. At a minimum, you should be charged. 138 00:08:28,080 --> 00:08:31,280 Speaker 1: Our Department of Justice won't do charge, so see. This 139 00:08:31,320 --> 00:08:34,199 Speaker 1: is the thing. No one despises Fauci more than Yeah, 140 00:08:34,280 --> 00:08:35,920 Speaker 1: you might dispouse him as much as I do. You're 141 00:08:35,960 --> 00:08:38,480 Speaker 1: pretty anti Faucci, But I've no one thinks this guy 142 00:08:38,559 --> 00:08:39,920 Speaker 1: is worse because I had to live with it in 143 00:08:39,960 --> 00:08:43,160 Speaker 1: New York. What crime do we think? I mean, I 144 00:08:43,280 --> 00:08:46,240 Speaker 1: don't Republicans, especially when they all of a sudden are 145 00:08:46,240 --> 00:08:48,960 Speaker 1: back in power in the House. I think they start 146 00:08:49,000 --> 00:08:52,240 Speaker 1: overpromising things and they start trying to get everybody riled 147 00:08:52,320 --> 00:08:55,720 Speaker 1: up and fired up without necessarily having a clear plan 148 00:08:55,880 --> 00:08:59,240 Speaker 1: and a realistic one. So I would just want to 149 00:08:59,280 --> 00:09:03,400 Speaker 1: know what you know lying under oath, that's the best 150 00:09:03,559 --> 00:09:06,120 Speaker 1: I think. I think you getting with perjury. Perjury is 151 00:09:06,120 --> 00:09:09,720 Speaker 1: a difficult case to make, but I think again, bringing 152 00:09:09,800 --> 00:09:13,400 Speaker 1: charges is a significant message. And by the way, we'll 153 00:09:13,440 --> 00:09:15,760 Speaker 1: see I just wouldn't do that until twenty four because 154 00:09:15,760 --> 00:09:18,319 Speaker 1: this Department of Justice won't do it understood. So that's 155 00:09:18,360 --> 00:09:21,880 Speaker 1: that's look I hate for this guy. It's not gonna happen. 156 00:09:22,080 --> 00:09:24,760 Speaker 1: Fauci's not gonna get prosecuted. The only thing we can 157 00:09:24,800 --> 00:09:28,000 Speaker 1: do is force the truth out about Fauci. By the way, 158 00:09:28,000 --> 00:09:30,400 Speaker 1: I don't think anyone involved with Twitter is gonna get prosecuted. 159 00:09:30,559 --> 00:09:34,160 Speaker 1: Even if we have smoking gun emails from somebody in 160 00:09:34,160 --> 00:09:36,440 Speaker 1: the White House saying kick this person off your social 161 00:09:36,480 --> 00:09:40,760 Speaker 1: media platform. They could bring a lawsuit, but no one's 162 00:09:40,800 --> 00:09:43,520 Speaker 1: going to prison over this. And so I just you know, 163 00:09:43,760 --> 00:09:47,000 Speaker 1: it's easy to get attention and clicks and viewers right 164 00:09:47,000 --> 00:09:49,640 Speaker 1: now for a lot of people out there who are saying, Oh, 165 00:09:49,679 --> 00:09:52,559 Speaker 1: we're gonna frog march, We're gonna frog march this person 166 00:09:52,559 --> 00:09:55,520 Speaker 1: out and that person out. What is our strategy, what 167 00:09:55,640 --> 00:09:57,160 Speaker 1: truth are we trying to get to, and how do 168 00:09:57,240 --> 00:09:59,120 Speaker 1: we get back power. We have to be in power 169 00:09:59,200 --> 00:10:01,280 Speaker 1: to stop these main acts. That's what we actually have 170 00:10:01,360 --> 00:10:03,199 Speaker 1: to do. I think that's a great point, and that's 171 00:10:03,240 --> 00:10:06,720 Speaker 1: why our audience needs to understand what is possible. We 172 00:10:06,840 --> 00:10:09,440 Speaker 1: can have hearings. This is what I've argued. The House 173 00:10:09,520 --> 00:10:11,920 Speaker 1: needs to have hearings into all these Twitter files. They 174 00:10:11,920 --> 00:10:15,079 Speaker 1: need to have hearings into collusion with big tech, all 175 00:10:15,120 --> 00:10:17,640 Speaker 1: of these things. They need to develop a record, and 176 00:10:17,679 --> 00:10:20,760 Speaker 1: then we need to have a campaign that includes these 177 00:10:20,840 --> 00:10:25,400 Speaker 1: fact finding aspects in twenty twenty four. And the only 178 00:10:25,440 --> 00:10:27,480 Speaker 1: way charges are going to get brought buck is if 179 00:10:27,520 --> 00:10:30,040 Speaker 1: we win the presidency in twenty twenty four, we have 180 00:10:30,080 --> 00:10:32,840 Speaker 1: a brand new head of the Department of Justice, and 181 00:10:32,880 --> 00:10:37,600 Speaker 1: then in twenty twenty five, potentially there could be charges 182 00:10:37,640 --> 00:10:39,880 Speaker 1: brought on some of these and the statute, the statute 183 00:10:39,880 --> 00:10:43,280 Speaker 1: of limitations on one zero zero one US Federal Criminal 184 00:10:43,320 --> 00:10:47,439 Speaker 1: Code five years, I believe. So you know you're gonna 185 00:10:47,440 --> 00:10:50,240 Speaker 1: have to slip that one and up. I just look fast. 186 00:10:50,600 --> 00:10:52,280 Speaker 1: You know, it would be very hard to convince a 187 00:10:52,280 --> 00:10:55,920 Speaker 1: new Attorney general under Republican administration, I think, to bring 188 00:10:56,000 --> 00:10:59,439 Speaker 1: charges against at that point eighty something year old Fauci 189 00:10:59,520 --> 00:11:02,520 Speaker 1: at the very And that's look, I'm not saying we shouldn't. 190 00:11:02,559 --> 00:11:04,880 Speaker 1: Of course, we should have the hearings on COVID origins 191 00:11:04,920 --> 00:11:07,600 Speaker 1: everything else to get the truth out there, because, as 192 00:11:07,640 --> 00:11:10,360 Speaker 1: we've seen from the Twitter revelations, one of the biggest 193 00:11:10,400 --> 00:11:13,720 Speaker 1: challenges we've had is we're in this democracy that's under threat, 194 00:11:13,720 --> 00:11:16,120 Speaker 1: they always say from Trump. No, the real threat to 195 00:11:16,160 --> 00:11:20,240 Speaker 1: our republic actually is that we can't get truthful information 196 00:11:20,360 --> 00:11:24,199 Speaker 1: out there. There's been a suppression and a propaganda campaign 197 00:11:24,720 --> 00:11:28,120 Speaker 1: going on for years now, and it accelerated dramatically during 198 00:11:28,120 --> 00:11:31,240 Speaker 1: the Trump years against the right. So getting information out 199 00:11:31,240 --> 00:11:34,360 Speaker 1: there is really important. But I mean another one, for example. 200 00:11:34,400 --> 00:11:36,760 Speaker 1: And you know, anybody who you know comes up with 201 00:11:36,800 --> 00:11:38,480 Speaker 1: a creative bet on this one, I'd be I'd be 202 00:11:38,480 --> 00:11:42,640 Speaker 1: willing to take the other side of it. Kevin McCarthy saying, 203 00:11:42,840 --> 00:11:44,640 Speaker 1: you know, assuming he becomes Speaker of the House, and 204 00:11:44,679 --> 00:11:47,240 Speaker 1: he's not yet speaker, but it's believed he is likely 205 00:11:47,280 --> 00:11:50,360 Speaker 1: to be. I know, people say that may not happen. 206 00:11:50,840 --> 00:11:53,319 Speaker 1: Clay they we're gonna bring these fifty one former intelligence 207 00:11:53,360 --> 00:11:55,559 Speaker 1: officials and they're gonna put them under oath and ask 208 00:11:55,640 --> 00:11:58,120 Speaker 1: them why they said that the Hunter bind laptop was fake. 209 00:11:58,840 --> 00:12:00,880 Speaker 1: We already know why they said the hundred Biden laptop 210 00:12:00,960 --> 00:12:03,080 Speaker 1: is fake. To help Joe Biden win the election. And 211 00:12:03,160 --> 00:12:05,839 Speaker 1: being a moron is not a criminal offense, unfortunately, or 212 00:12:05,880 --> 00:12:08,040 Speaker 1: else half of DC would already be in prison, actually 213 00:12:08,080 --> 00:12:11,480 Speaker 1: more because it's ninety seven percent Democrat. Point is, you know, 214 00:12:11,960 --> 00:12:13,960 Speaker 1: you know, we have to pick and choose our battles. 215 00:12:13,960 --> 00:12:17,160 Speaker 1: There's limited attention, there's limited resources time. You know, you 216 00:12:17,200 --> 00:12:19,840 Speaker 1: see the border right now, I mean it looks like 217 00:12:20,280 --> 00:12:23,040 Speaker 1: something out of a post apocalyptic movie where there's just 218 00:12:23,120 --> 00:12:25,920 Speaker 1: thousands and thousands of people and you know, running across 219 00:12:25,960 --> 00:12:29,079 Speaker 1: the river and buyers while they stand in line. I mean, 220 00:12:29,160 --> 00:12:33,120 Speaker 1: it's it's pretty crazy. It's it's insane. You know that 221 00:12:33,120 --> 00:12:36,439 Speaker 1: that's a huge issue. Um, you know, I do think 222 00:12:36,480 --> 00:12:40,679 Speaker 1: COVID origins is really important. I think vaccine companies who 223 00:12:40,760 --> 00:12:42,920 Speaker 1: got rich from the vaccines. You know, there are there 224 00:12:42,960 --> 00:12:45,400 Speaker 1: are things we should be doing. But this, this is 225 00:12:45,480 --> 00:12:48,679 Speaker 1: playing to people's belief that there's gonna be Oh, we're 226 00:12:48,679 --> 00:12:52,800 Speaker 1: gonna prosecute those fifty one former Intel of Intel chiefs. 227 00:12:52,840 --> 00:12:54,880 Speaker 1: I worked for some of them, I know some of them. 228 00:12:55,480 --> 00:12:57,880 Speaker 1: This is the game they play all day long, and 229 00:12:57,920 --> 00:13:00,199 Speaker 1: it's oh I thought this at the time. Some of 230 00:13:00,240 --> 00:13:02,600 Speaker 1: them may even still say, you know, I still think 231 00:13:02,600 --> 00:13:04,959 Speaker 1: there might have been disinformation. Being a moron is not 232 00:13:05,000 --> 00:13:07,840 Speaker 1: a criminal offense. We're not going to catch them in anything. 233 00:13:08,160 --> 00:13:11,000 Speaker 1: So I want everyone to be very clear on what's possible, 234 00:13:11,040 --> 00:13:15,280 Speaker 1: what's not possible, and not waste time. We have limited time. 235 00:13:15,320 --> 00:13:17,280 Speaker 1: But I know it sounds crazy. Between now in the 236 00:13:17,320 --> 00:13:19,680 Speaker 1: next election day, we don't have all the time in 237 00:13:19,720 --> 00:13:21,840 Speaker 1: the world to sit around and wonder what our strategy 238 00:13:21,920 --> 00:13:23,880 Speaker 1: is going to be. Republicans have to start also making 239 00:13:23,880 --> 00:13:25,240 Speaker 1: the case as to what they're gonna do if they're 240 00:13:25,240 --> 00:13:29,120 Speaker 1: actually in power. So the fifty one intel guys, I 241 00:13:29,240 --> 00:13:31,520 Speaker 1: just don't see I don't see it. We already know 242 00:13:31,559 --> 00:13:33,840 Speaker 1: what they of course they lie. Everyoneho's not an idiot 243 00:13:33,880 --> 00:13:36,400 Speaker 1: knows they lie. Yeah. I think having primetime hearings, you 244 00:13:36,440 --> 00:13:38,360 Speaker 1: just talk about this when we come back. The primetime 245 00:13:38,400 --> 00:13:40,720 Speaker 1: hearings are a big part of this. I also think 246 00:13:41,000 --> 00:13:43,760 Speaker 1: we need to be holding these drug companies accountable. And 247 00:13:43,800 --> 00:13:48,360 Speaker 1: I will say federal charges are different states. States with 248 00:13:48,480 --> 00:13:51,520 Speaker 1: the Republican governors need to act to the full extent 249 00:13:51,640 --> 00:13:55,280 Speaker 1: of their abilities under state law and at least get 250 00:13:55,320 --> 00:13:57,040 Speaker 1: some of this stuff rolling. And I think that's coming. 251 00:13:57,080 --> 00:13:59,800 Speaker 1: In the meantime, our friends at my pillow, they're excited 252 00:13:59,800 --> 00:14:04,720 Speaker 1: to announced the my slippers are back in stock. My 253 00:14:04,760 --> 00:14:08,040 Speaker 1: wife loves these slippers so much. She bought them for 254 00:14:08,120 --> 00:14:11,839 Speaker 1: Oliver running buddy. She sleeps in these things. You're gonna 255 00:14:11,880 --> 00:14:14,520 Speaker 1: love them, and you can save up to ninety dollars 256 00:14:14,559 --> 00:14:18,240 Speaker 1: per pair right now. Four layer design for comfort. They 257 00:14:18,320 --> 00:14:21,680 Speaker 1: will be phenomenal. You won't want to take them off either. 258 00:14:22,120 --> 00:14:26,720 Speaker 1: Ten year warranty and they're extending that warranty to a 259 00:14:26,840 --> 00:14:30,000 Speaker 1: sixty to eight money back guarantee. Orders place between now 260 00:14:30,040 --> 00:14:33,720 Speaker 1: in Christmas day. Get money back guarantee extended until March 261 00:14:33,840 --> 00:14:36,920 Speaker 1: the first of next year. Just go to my pillow 262 00:14:37,080 --> 00:14:40,520 Speaker 1: dot com and click on the Radio listeners square to 263 00:14:40,680 --> 00:14:44,880 Speaker 1: save ninety dollars on the original my slippers. That makes 264 00:14:44,880 --> 00:14:48,280 Speaker 1: them only forty nine ninety eight a pair. I'm telling 265 00:14:48,320 --> 00:14:51,480 Speaker 1: you you are going to absolutely love these. Enter the 266 00:14:51,480 --> 00:14:54,360 Speaker 1: promo code Clay and Buck. You can also call eight 267 00:14:54,480 --> 00:14:57,960 Speaker 1: hundred seven nine two thirty two sixty nine for this 268 00:14:58,000 --> 00:15:01,119 Speaker 1: incredible offer. If you're looking for a gift, I guarantee 269 00:15:01,120 --> 00:15:05,000 Speaker 1: people are gonna love these slippers won't last long. Order today. 270 00:15:05,040 --> 00:15:11,000 Speaker 1: That's my pillow dot Com code Clay and Buck. Welcome 271 00:15:11,000 --> 00:15:13,720 Speaker 1: back in Clay, Travis, Buck Sexton Show. Appreciate all of 272 00:15:13,720 --> 00:15:15,800 Speaker 1: you hanging out with us we get closer and closer 273 00:15:15,840 --> 00:15:18,720 Speaker 1: to the holidays. Encourage you to download the podcast make 274 00:15:18,720 --> 00:15:20,440 Speaker 1: sure you don't miss a moment. No matter where you 275 00:15:20,440 --> 00:15:22,920 Speaker 1: may be across the country or frankly around the world, 276 00:15:23,040 --> 00:15:25,600 Speaker 1: you'll be able to listen to us. We certainly thank 277 00:15:25,640 --> 00:15:28,280 Speaker 1: all of you listening on our four hundred and fifty 278 00:15:28,360 --> 00:15:32,920 Speaker 1: plus affiliate stations out there as well. And Buck, you 279 00:15:32,920 --> 00:15:36,120 Speaker 1: know we're talking about what's going on with Fauci and 280 00:15:36,320 --> 00:15:40,400 Speaker 1: what sort of record can be created as it pertains 281 00:15:40,400 --> 00:15:43,880 Speaker 1: to big tech collusion with Twitter. And what I would 282 00:15:43,880 --> 00:15:48,520 Speaker 1: say is this is important the record. We've got to 283 00:15:48,560 --> 00:15:50,640 Speaker 1: put this on the record, and we have to do 284 00:15:50,680 --> 00:15:53,400 Speaker 1: it in primetime hearings. You and I made fun of 285 00:15:53,440 --> 00:15:56,680 Speaker 1: the January sixth hearings, but frankly, they didn't provide anything. 286 00:15:56,680 --> 00:15:58,600 Speaker 1: The New York Times, by the way, did you see 287 00:15:58,600 --> 00:16:01,200 Speaker 1: this buck? The New York Times Times, in their list 288 00:16:01,240 --> 00:16:03,760 Speaker 1: of the best television of the year, said the January 289 00:16:03,840 --> 00:16:06,880 Speaker 1: sixth Committee hearings were among the best television shows of 290 00:16:06,920 --> 00:16:10,080 Speaker 1: the year. You can't even make it up. The good news, 291 00:16:10,120 --> 00:16:12,760 Speaker 1: I will say, I've been talking to friends about this recently, 292 00:16:13,480 --> 00:16:17,920 Speaker 1: is so much video content is such crap that you 293 00:16:18,040 --> 00:16:20,480 Speaker 1: just got to read more books everybody. There's so many 294 00:16:20,520 --> 00:16:24,200 Speaker 1: great books out there, not necessarily being produced right now 295 00:16:24,240 --> 00:16:26,720 Speaker 1: every day, but just if you look at the library 296 00:16:26,760 --> 00:16:29,520 Speaker 1: of what is available, because most TV has garbage these 297 00:16:29,640 --> 00:16:31,440 Speaker 1: I mean, there's sports if you love sports, which is good, 298 00:16:31,480 --> 00:16:35,360 Speaker 1: but if you're looking for scripted stuff, it's just ninety 299 00:16:35,480 --> 00:16:38,720 Speaker 1: nine percent trash these days. Really a shame. So what 300 00:16:38,880 --> 00:16:42,000 Speaker 1: I think was important about the idea of the primetime hearings, 301 00:16:42,080 --> 00:16:44,920 Speaker 1: is Buck looking at the data, we lost independence in 302 00:16:44,960 --> 00:16:49,160 Speaker 1: twenty twenty two by two points. Some of those independents 303 00:16:49,440 --> 00:16:53,920 Speaker 1: doesn't take that. Many of them got news about the 304 00:16:54,000 --> 00:16:57,920 Speaker 1: January sixth hearing from the January sixth Primetime Committee hearings. 305 00:16:58,360 --> 00:17:00,760 Speaker 1: There are a lot of people out there who have 306 00:17:00,840 --> 00:17:03,560 Speaker 1: no clue that the Hunter Biden laptop is fake, who 307 00:17:03,600 --> 00:17:06,680 Speaker 1: have no idea that Twitter has been rigging the game, 308 00:17:06,720 --> 00:17:09,320 Speaker 1: that big tech has been influencing what they're able to 309 00:17:09,359 --> 00:17:13,280 Speaker 1: see and not sharing truthful information. If we can even 310 00:17:13,320 --> 00:17:17,720 Speaker 1: get a pen prick of those independents to suddenly become like, look, 311 00:17:17,720 --> 00:17:20,040 Speaker 1: there's people like me who've been red pilled. It looks 312 00:17:20,040 --> 00:17:23,480 Speaker 1: like Elon Musk has been pilled. When you start doing 313 00:17:23,520 --> 00:17:26,120 Speaker 1: your own research and you start paying attention to it, 314 00:17:26,480 --> 00:17:29,760 Speaker 1: the facts can become self evident. And I do think 315 00:17:29,800 --> 00:17:33,760 Speaker 1: Primetime hearings could be influential in twenty twenty four plus. 316 00:17:34,160 --> 00:17:38,200 Speaker 1: I think they send the message Buck to Facebook, to Instagram, 317 00:17:38,400 --> 00:17:42,040 Speaker 1: to YouTube, to Google. Hey, these executives are getting held 318 00:17:42,080 --> 00:17:45,600 Speaker 1: in front of Congress and are getting read the Riot Act. Maybe, 319 00:17:45,800 --> 00:17:48,600 Speaker 1: just maybe they fear that that could be them, and 320 00:17:48,960 --> 00:17:51,159 Speaker 1: as a result, they're more fair in the way that 321 00:17:51,200 --> 00:17:53,800 Speaker 1: they allow these stories to be shared. I want to 322 00:17:53,800 --> 00:17:56,119 Speaker 1: talk to you about the Tunnel Towers Foundation for a moment. 323 00:17:56,200 --> 00:17:59,160 Speaker 1: It's promised to do good and never forget the sacrifices 324 00:17:59,200 --> 00:18:02,280 Speaker 1: that America's greatest heroes have made for US. Heroes like 325 00:18:02,359 --> 00:18:05,520 Speaker 1: Mario Nelson. After nine eleven, Mario help with the recovery 326 00:18:05,560 --> 00:18:08,600 Speaker 1: efforts at Ground Zero. That experience motivated him to listen 327 00:18:08,640 --> 00:18:10,959 Speaker 1: the US Army. In the months afterward, he was deployed 328 00:18:11,000 --> 00:18:12,600 Speaker 1: to a rock and was two months from coming home 329 00:18:12,600 --> 00:18:14,720 Speaker 1: when he was killed in action at the age of 330 00:18:14,720 --> 00:18:17,639 Speaker 1: twenty six. He left behind a wife and young daughter. 331 00:18:18,080 --> 00:18:20,879 Speaker 1: Thanks to the Tunnel to Towers Foundation, Mario's wife and 332 00:18:20,960 --> 00:18:24,719 Speaker 1: daughter received a mortgage free home. Your kindness and generosity 333 00:18:24,760 --> 00:18:27,520 Speaker 1: brought them financial stability and peace of mind when they 334 00:18:27,560 --> 00:18:30,399 Speaker 1: needed it most. For some families, the foundation brings the 335 00:18:30,400 --> 00:18:32,080 Speaker 1: comfort of knowing they can stay in the home where 336 00:18:32,080 --> 00:18:34,119 Speaker 1: they made memories with their fall in love one. For 337 00:18:34,240 --> 00:18:37,960 Speaker 1: other families, the foundation enables new memories to be cherished forever. 338 00:18:38,400 --> 00:18:41,320 Speaker 1: Help our nation's greatest heroes and their families when they 339 00:18:41,359 --> 00:18:44,679 Speaker 1: need it most. Join us in donating eleven dollars a 340 00:18:44,720 --> 00:18:48,480 Speaker 1: month right now to Tunnel the Towers at twot dot org. 341 00:18:48,840 --> 00:18:51,879 Speaker 1: That's the Tunnel the Towers Foundation. Please eleven dollars a 342 00:18:51,920 --> 00:18:55,080 Speaker 1: month is a great place to start. Donate t twot 343 00:18:55,320 --> 00:18:58,000 Speaker 1: dot org. That's t the number two t dot or 344 00:19:00,040 --> 00:19:03,040 Speaker 1: welcome back everybody. Clay and Buck going strong on this Monday, 345 00:19:03,160 --> 00:19:07,480 Speaker 1: December twelfth, and I cannot believe we are two weeks 346 00:19:07,480 --> 00:19:11,560 Speaker 1: away from Christmas. But but here we are. We have 347 00:19:11,600 --> 00:19:14,000 Speaker 1: so much to get to. Like I said, Bill O'Reilly 348 00:19:14,080 --> 00:19:17,320 Speaker 1: joining the next hour, I'm gonna I got a little beef, 349 00:19:17,480 --> 00:19:19,320 Speaker 1: a little bone to pick with Bill Clay a little bit. 350 00:19:19,440 --> 00:19:20,840 Speaker 1: I want to poke up a little bit on this 351 00:19:21,119 --> 00:19:23,040 Speaker 1: is Biden gonna run thing? You know, he came on 352 00:19:23,160 --> 00:19:28,320 Speaker 1: before and he was very certain Biden wasn't gonna run. Look, 353 00:19:28,359 --> 00:19:30,440 Speaker 1: Bill's great. We're looking forward to talking about a whole 354 00:19:30,480 --> 00:19:32,399 Speaker 1: bunch of things in the political realm, and that'll be 355 00:19:32,400 --> 00:19:34,280 Speaker 1: coming up in the next hour, and then bb net 356 00:19:34,280 --> 00:19:37,639 Speaker 1: and Yahoo, the bb Net and Yahoo third hour of 357 00:19:37,640 --> 00:19:39,720 Speaker 1: the program will be with us, so you gonna stick 358 00:19:39,720 --> 00:19:41,920 Speaker 1: around for that. He's the Prime Minister of Israel yet again. 359 00:19:43,080 --> 00:19:45,280 Speaker 1: But one thing that has come out about some of 360 00:19:45,320 --> 00:19:51,440 Speaker 1: these people at Twitter clay Is yoll Wroth, for example, 361 00:19:51,480 --> 00:19:57,040 Speaker 1: but also Vijaya Gotti, who was their chief lawyer in 362 00:19:57,160 --> 00:20:00,440 Speaker 1: charge of the Trust and Safety Committee. And it really 363 00:20:00,480 --> 00:20:03,080 Speaker 1: does seem a bit like there's a there's a great 364 00:20:03,119 --> 00:20:08,280 Speaker 1: book about the French Revolution and the Committee on Public Safety, 365 00:20:08,760 --> 00:20:10,960 Speaker 1: the Committee on Public Safety. The book is called Twelve 366 00:20:11,000 --> 00:20:13,600 Speaker 1: Who Ruled, I Believe? And this was right in the 367 00:20:13,640 --> 00:20:17,399 Speaker 1: height of the French Revolution and you had these really 368 00:20:17,760 --> 00:20:22,840 Speaker 1: mostly middling bureaucrats, some are lawyers, no offense, some lawyers, 369 00:20:22,880 --> 00:20:26,640 Speaker 1: some couple of government officials and they got together as 370 00:20:26,640 --> 00:20:28,520 Speaker 1: part of the revolution. They formed this thing called the 371 00:20:28,520 --> 00:20:33,439 Speaker 1: Committee for Public Safety, and they met with no oversight whatsoever, 372 00:20:33,560 --> 00:20:36,600 Speaker 1: and they just started handing out death notices. Basically, this 373 00:20:36,640 --> 00:20:39,080 Speaker 1: person head has to come off, this person head has 374 00:20:39,080 --> 00:20:41,520 Speaker 1: to come off. And there was no accountability for whatsoever. 375 00:20:41,560 --> 00:20:43,720 Speaker 1: And it was these very the part of it that 376 00:20:43,760 --> 00:20:46,359 Speaker 1: the fascinating part of the book is it's this historical 377 00:20:46,440 --> 00:20:49,720 Speaker 1: study of how do you get people to do this 378 00:20:49,760 --> 00:20:52,119 Speaker 1: sort of thing? Well, when you give them unchecked power, 379 00:20:52,240 --> 00:20:54,640 Speaker 1: this is what always happens. Now, in this case, it's 380 00:20:54,680 --> 00:20:58,879 Speaker 1: not to the guillotine. It's to the censorship of your 381 00:20:58,920 --> 00:21:01,960 Speaker 1: Twitter account. But it was a similar mentality. They were 382 00:21:02,000 --> 00:21:07,200 Speaker 1: coming up with these rules on the fly. And Yol Roth, 383 00:21:07,920 --> 00:21:10,800 Speaker 1: who's a guy who honestly you would think would be 384 00:21:10,920 --> 00:21:16,439 Speaker 1: stretching the limits of his intellectual and ethical capacity to 385 00:21:16,600 --> 00:21:21,200 Speaker 1: be teaching, you know, gender studies as an associated professor 386 00:21:21,240 --> 00:21:24,200 Speaker 1: at a third year at a third tier college somewhere, 387 00:21:24,960 --> 00:21:27,040 Speaker 1: was one of the most powerful people in free speech 388 00:21:27,040 --> 00:21:29,920 Speaker 1: and therefore in politics in the twenty twenty election. When 389 00:21:29,960 --> 00:21:31,679 Speaker 1: this is a guy who played them. The more we 390 00:21:31,720 --> 00:21:35,800 Speaker 1: dig into this, I mean, Elon Musk has been pointing 391 00:21:35,800 --> 00:21:41,919 Speaker 1: out himself that there are some really sketchy stuff about 392 00:21:41,960 --> 00:21:44,399 Speaker 1: the people running these things, and they're also they're the 393 00:21:44,800 --> 00:21:48,920 Speaker 1: emotionally unstable libs that we had all assumed all along. Yeah. Look, 394 00:21:49,000 --> 00:21:52,200 Speaker 1: Joel Roth, who is in charge of making content decisions 395 00:21:52,200 --> 00:21:58,080 Speaker 1: for Twitter, has got some messy backstory associated with his 396 00:21:58,200 --> 00:22:01,200 Speaker 1: personal life. It appears based on tweets, But he wrote 397 00:22:01,200 --> 00:22:05,199 Speaker 1: a three hundred page dissertation for his PhD at the 398 00:22:05,280 --> 00:22:08,280 Speaker 1: University of Pennsylvania, which is an Ivy League school. But 399 00:22:08,840 --> 00:22:10,600 Speaker 1: I know a lot of very unimpressive people go to 400 00:22:10,680 --> 00:22:13,400 Speaker 1: all the Ivy League schools. Unfortunately, three hundred page dissertation 401 00:22:13,440 --> 00:22:17,280 Speaker 1: on Grinder, Clay, Yeah, And on whether he argued that 402 00:22:17,480 --> 00:22:20,040 Speaker 1: underage kids should be able to get on Grinder, which 403 00:22:20,040 --> 00:22:23,679 Speaker 1: is a gay dating app, he argued, is there is 404 00:22:23,680 --> 00:22:28,120 Speaker 1: it possible for underaged kids to consent to sexual relationships 405 00:22:28,560 --> 00:22:33,760 Speaker 1: with their teachers? I mean, this is pretty aggressive stuff. 406 00:22:33,760 --> 00:22:38,119 Speaker 1: But Buck, he called the Trump administration and said that 407 00:22:38,119 --> 00:22:42,280 Speaker 1: the Trump administration was filled with Nazis publicly. So when 408 00:22:42,359 --> 00:22:46,400 Speaker 1: you are tweeting that the Trump administration is filled with Nazis, 409 00:22:46,920 --> 00:22:49,960 Speaker 1: do you feel like that person is going to be 410 00:22:50,040 --> 00:22:56,520 Speaker 1: a reliable examiner of facts when it comes to right 411 00:22:56,680 --> 00:23:00,520 Speaker 1: leaning or right wing personalities? The answer no. And this 412 00:23:00,600 --> 00:23:02,880 Speaker 1: is what I would say is a good test case 413 00:23:02,920 --> 00:23:06,479 Speaker 1: for Elon Musk. Elon Musk Buck has talked some about 414 00:23:06,560 --> 00:23:10,720 Speaker 1: having a council that will examine decisions of whether people 415 00:23:10,760 --> 00:23:13,320 Speaker 1: should be banned or suspended or whatever it might be, 416 00:23:13,600 --> 00:23:15,359 Speaker 1: and he wants to put up people from a wide 417 00:23:15,440 --> 00:23:19,160 Speaker 1: variety of political opinions on that panel. And I would 418 00:23:19,200 --> 00:23:22,719 Speaker 1: suggest that any decision needs to be unanimous if he 419 00:23:22,760 --> 00:23:25,000 Speaker 1: decides to do this, and then he needs to put 420 00:23:25,000 --> 00:23:27,800 Speaker 1: people from all around the political spectrum who understand and 421 00:23:27,840 --> 00:23:31,520 Speaker 1: appreciate free speech. So Buck, that there is at least 422 00:23:31,520 --> 00:23:35,160 Speaker 1: a consistent precedent being applied. For instance, if you are 423 00:23:35,200 --> 00:23:37,000 Speaker 1: going to say that Donald Trump is not allowed to 424 00:23:37,000 --> 00:23:40,440 Speaker 1: have a Twitter account, which has now been reversed, explain 425 00:23:40,520 --> 00:23:43,679 Speaker 1: to me how the Ayatollah of Iran can have a 426 00:23:43,680 --> 00:23:47,600 Speaker 1: Twitter account, how the Taliban can have a Twitter account? Like, 427 00:23:47,800 --> 00:23:52,320 Speaker 1: there has to be some consistency of application, and certainly 428 00:23:52,320 --> 00:23:54,760 Speaker 1: there has not been so far. So there's a pretty 429 00:23:54,760 --> 00:24:00,240 Speaker 1: easy test for principle, for the most basic idea of 430 00:24:00,600 --> 00:24:03,520 Speaker 1: if you have a principle and you really do and 431 00:24:03,600 --> 00:24:07,920 Speaker 1: you're really going to apply it in any point in time, 432 00:24:07,960 --> 00:24:11,159 Speaker 1: at any point in time, has that principle not worked 433 00:24:11,160 --> 00:24:13,560 Speaker 1: out the exactly the way that you wanted it to. 434 00:24:13,920 --> 00:24:16,760 Speaker 1: You know, if you have a principle about free speech 435 00:24:17,040 --> 00:24:20,840 Speaker 1: that somehow only allows you to punish your enemies and 436 00:24:21,000 --> 00:24:24,640 Speaker 1: always supports and defends your friends, is it really a 437 00:24:24,680 --> 00:24:29,720 Speaker 1: principle or is it just an excuse, a convenience, an 438 00:24:29,800 --> 00:24:32,240 Speaker 1: explanation for what you wanted to be. This is how 439 00:24:32,280 --> 00:24:34,720 Speaker 1: all liberal principles are, by the way, or lib principles, 440 00:24:34,840 --> 00:24:38,680 Speaker 1: leftist principles. It's oh, we have this rule, but no, no, 441 00:24:39,080 --> 00:24:42,160 Speaker 1: it doesn't actually apply in your case because you're so bad. 442 00:24:42,320 --> 00:24:44,280 Speaker 1: You see what they're doing with yol Roth right away? 443 00:24:44,280 --> 00:24:47,200 Speaker 1: What do they go to Clay? You're putting his life 444 00:24:47,240 --> 00:24:50,240 Speaker 1: in danger? Yeah, right, that's what they say all the time. 445 00:24:50,400 --> 00:24:52,920 Speaker 1: So you're not allowed. This is the game they play. 446 00:24:53,000 --> 00:24:57,679 Speaker 1: This is always the fallback when you find people abusing power, 447 00:24:57,960 --> 00:25:01,800 Speaker 1: when you find leftists who are rods, who have stripped 448 00:25:01,800 --> 00:25:03,840 Speaker 1: people of their free speech and of just the most 449 00:25:03,840 --> 00:25:06,480 Speaker 1: basic rights to engage in the public square or a 450 00:25:06,480 --> 00:25:09,359 Speaker 1: whole range of different issues, and you call them out, 451 00:25:09,920 --> 00:25:15,640 Speaker 1: that's not a speech. You're putting their lives in jeopardy. Yeah. 452 00:25:15,640 --> 00:25:18,359 Speaker 1: And I would also add this, Buck, and this is 453 00:25:18,520 --> 00:25:22,840 Speaker 1: this is a big deal. If you are rendering these judgments, 454 00:25:23,440 --> 00:25:26,000 Speaker 1: you shouldn't be able to hide and argue that you're 455 00:25:26,040 --> 00:25:29,879 Speaker 1: not a public figure. If you are the driving force 456 00:25:30,359 --> 00:25:34,359 Speaker 1: inside of the Twitter administration behind why Donald Trump doesn't 457 00:25:34,400 --> 00:25:37,840 Speaker 1: have a Twitter account, we should know your name, we 458 00:25:37,880 --> 00:25:41,360 Speaker 1: should know your background, we should know everything about you. 459 00:25:41,359 --> 00:25:44,439 Speaker 1: You're a public figure, and so your biases are a 460 00:25:44,440 --> 00:25:46,600 Speaker 1: big part of what that story might be. And this 461 00:25:46,680 --> 00:25:50,120 Speaker 1: is why courts rely on precedent. Buck for your exact 462 00:25:50,200 --> 00:25:54,560 Speaker 1: argument here, because if the court, if every judge just 463 00:25:54,760 --> 00:25:59,000 Speaker 1: arbitrarily decides whatever he or she thinks without regard to 464 00:25:59,560 --> 00:26:03,239 Speaker 1: prior existing precedent and doesn't even acknowledge it. Then you 465 00:26:03,320 --> 00:26:06,080 Speaker 1: end up with completely arbitrary and capricious rulings, which is 466 00:26:06,119 --> 00:26:09,719 Speaker 1: what Twitter has applied, and they always end up biased 467 00:26:09,760 --> 00:26:12,600 Speaker 1: against people on the right. Right. This is the old 468 00:26:12,640 --> 00:26:15,199 Speaker 1: school civil libertarians. I mean you look at now the 469 00:26:15,280 --> 00:26:19,000 Speaker 1: ACLU and these different groups. They are left wing advocacy 470 00:26:19,000 --> 00:26:22,960 Speaker 1: groups full stop, because they do not, in any serious 471 00:26:23,119 --> 00:26:26,640 Speaker 1: or substantive way go against the desires of the left 472 00:26:26,720 --> 00:26:28,920 Speaker 1: in their application of what are supposed to be civil 473 00:26:28,920 --> 00:26:31,560 Speaker 1: liberty principles. That wasn't always the case, right we talk, 474 00:26:31,760 --> 00:26:34,720 Speaker 1: We bring it up that that seminal case of the 475 00:26:34,960 --> 00:26:39,240 Speaker 1: Nazis marching and Skokie, Illinois. You know, terrible morons doing 476 00:26:39,280 --> 00:26:43,080 Speaker 1: something vile and evil, but they were constitutionally protected in 477 00:26:43,160 --> 00:26:47,240 Speaker 1: that speech at that time. Current ACLU, currents, current Twitter, 478 00:26:47,280 --> 00:26:50,560 Speaker 1: current Facebook take a totally different approach. In fact, if 479 00:26:50,560 --> 00:26:55,719 Speaker 1: you won't use the preferred pronouns, you are basically inciting 480 00:26:55,800 --> 00:26:58,080 Speaker 1: violence and are a bad person. One of my favorite 481 00:26:58,080 --> 00:27:01,800 Speaker 1: things Elon's Twitter. I gotta tell everybody, And look, I'm 482 00:27:01,800 --> 00:27:04,199 Speaker 1: also gonna say we always say how can we Hey, like, 483 00:27:04,240 --> 00:27:05,680 Speaker 1: what can we do? People ask me all the time 484 00:27:05,680 --> 00:27:08,280 Speaker 1: what can we do to get in the movement to win? 485 00:27:08,320 --> 00:27:11,280 Speaker 1: And we say things like knock on doors, organized, you know, 486 00:27:11,320 --> 00:27:13,760 Speaker 1: spread the word, tell people about this show. I say 487 00:27:13,840 --> 00:27:15,960 Speaker 1: that with full self awareness that it benefits us. But 488 00:27:16,000 --> 00:27:18,080 Speaker 1: I do believe we do a very good job here 489 00:27:18,080 --> 00:27:21,560 Speaker 1: on clay in Buck. But also get active on Twitter. Yeah, 490 00:27:21,600 --> 00:27:24,560 Speaker 1: see what people are saying, share your voice, sign up. 491 00:27:24,600 --> 00:27:26,800 Speaker 1: I know it's weird. It's been a left wing province. 492 00:27:26,840 --> 00:27:30,119 Speaker 1: It isn't anymore. But when you know, when Elon was 493 00:27:30,160 --> 00:27:33,320 Speaker 1: confronted by somebody Clay over the weekend about not using 494 00:27:34,000 --> 00:27:37,000 Speaker 1: or he made a joke about pronouns, is what happened. 495 00:27:37,440 --> 00:27:40,760 Speaker 1: He made a joke and someone said, basically, you know 496 00:27:40,800 --> 00:27:45,439 Speaker 1: you shouldn't be making jokes about this pronouns. Are you 497 00:27:45,440 --> 00:27:47,520 Speaker 1: know that this is going to lead to violence? He 498 00:27:47,600 --> 00:27:49,879 Speaker 1: basically said, shut up, I'm sorry, We're not going to 499 00:27:49,920 --> 00:27:53,560 Speaker 1: play this game anymore. It's nasty to tell people. It's wrong, 500 00:27:53,640 --> 00:27:55,400 Speaker 1: to tell people that they have to be a part 501 00:27:55,760 --> 00:27:58,600 Speaker 1: of your lie and given to your demands about pronouns. 502 00:27:59,440 --> 00:28:02,399 Speaker 1: Elon's fire these days, man, it's amazing to watch No. 503 00:28:02,600 --> 00:28:06,120 Speaker 1: I love everything that he's saying, honestly, and I give 504 00:28:06,200 --> 00:28:08,119 Speaker 1: him so much credit because we've been arguing for a 505 00:28:08,160 --> 00:28:11,040 Speaker 1: long time on this show. I wish billionaires who agree 506 00:28:11,080 --> 00:28:14,240 Speaker 1: with us would actually step up and use their FU 507 00:28:14,320 --> 00:28:17,239 Speaker 1: money and say, hey, I'm actually going to put my 508 00:28:17,320 --> 00:28:21,439 Speaker 1: weight behind what exactly I believe. You know, Aylon can 509 00:28:21,480 --> 00:28:25,280 Speaker 1: do this everybody because the financial they have taken over. 510 00:28:25,560 --> 00:28:29,159 Speaker 1: You can't even get banks to do business with you 511 00:28:29,280 --> 00:28:32,600 Speaker 1: these days. If you're a gun manufacturer, they get really 512 00:28:33,119 --> 00:28:35,320 Speaker 1: sketchy on you. They might pull it. If you're in 513 00:28:35,359 --> 00:28:38,520 Speaker 1: the if you're dealing with AMMO manufacturer, if you're a 514 00:28:38,560 --> 00:28:43,120 Speaker 1: Second Amendment related entity, any number of areas totally legal, 515 00:28:43,600 --> 00:28:47,920 Speaker 1: constitutionally protected, you can't get. They come after you financially. 516 00:28:48,320 --> 00:28:51,080 Speaker 1: This is what they do. They've gotten very good at this, 517 00:28:51,720 --> 00:28:53,760 Speaker 1: and they've gotten very good at also rewarding. We talk 518 00:28:53,800 --> 00:28:57,040 Speaker 1: about this, Claire, rewarding the people who are the soldiers 519 00:28:57,080 --> 00:28:59,120 Speaker 1: of the left, not like real soldiers, but the people 520 00:28:59,120 --> 00:29:04,400 Speaker 1: that are doing their ideological battles for them. And Elon Musk, 521 00:29:04,400 --> 00:29:06,760 Speaker 1: Why can you do this because ten million dollars doesn't 522 00:29:06,800 --> 00:29:08,680 Speaker 1: matter to them. Yes, because saying they're going after the 523 00:29:08,680 --> 00:29:11,080 Speaker 1: sponsors doesn't matter to them. So this is why they 524 00:29:11,080 --> 00:29:14,240 Speaker 1: are losing their minds over this guy. By the way, 525 00:29:14,400 --> 00:29:17,480 Speaker 1: I say, get on Twitter. Also support companies that support 526 00:29:17,600 --> 00:29:21,000 Speaker 1: your values. Get away from woke wireless companies. For example, 527 00:29:21,040 --> 00:29:24,120 Speaker 1: like who provides your cell phone service? You need talk, 528 00:29:24,160 --> 00:29:27,120 Speaker 1: text and blazing fast data for just thirty dollars a 529 00:29:27,120 --> 00:29:30,320 Speaker 1: month from pure Talk, the anti woke wireless company. Okay, 530 00:29:30,400 --> 00:29:34,280 Speaker 1: these are guys and gals who support your values and 531 00:29:34,400 --> 00:29:37,440 Speaker 1: support this great country and free speech. You get great 532 00:29:37,480 --> 00:29:39,680 Speaker 1: service in the same network, in the same towers, but 533 00:29:39,840 --> 00:29:42,520 Speaker 1: for half the price. I mean, why wouldn't you do this? 534 00:29:42,840 --> 00:29:45,080 Speaker 1: You can start saving today with pure Talk without having 535 00:29:45,080 --> 00:29:47,280 Speaker 1: the sacrifice on coverage. And how do I know this? Well, 536 00:29:47,320 --> 00:29:50,000 Speaker 1: I know firsthand because I'm a customer. And here are 537 00:29:50,000 --> 00:29:53,040 Speaker 1: all the other benefits. Access to a US based customer 538 00:29:53,080 --> 00:29:56,000 Speaker 1: service team that makes the switch easy. Also know that 539 00:29:56,000 --> 00:29:58,800 Speaker 1: you're supporting a veteran owned business that is opposed to 540 00:29:58,840 --> 00:30:02,000 Speaker 1: the woke madness. When you dial pound two fifty today 541 00:30:02,040 --> 00:30:04,960 Speaker 1: you say Clay and Buck, you'll save an additional fifty 542 00:30:04,960 --> 00:30:07,400 Speaker 1: percent off your first month. So again, here's what you 543 00:30:07,480 --> 00:30:10,719 Speaker 1: do to switch to pure Talk today. It's what I'm on. 544 00:30:11,320 --> 00:30:14,960 Speaker 1: Dial pound two five zero from your cell phone. Dial 545 00:30:15,000 --> 00:30:18,120 Speaker 1: pound two five zero and say Clay and Buck and 546 00:30:18,200 --> 00:30:20,160 Speaker 1: the folks over pure Talk. I'll help you get switched 547 00:30:20,160 --> 00:30:23,040 Speaker 1: over in about ten minutes. You'll save so much money. 548 00:30:23,120 --> 00:30:26,080 Speaker 1: And also you'll be taking action based on your values. 549 00:30:26,160 --> 00:30:28,680 Speaker 1: You get value, you stand up for your values. That's 550 00:30:28,720 --> 00:30:31,600 Speaker 1: what pure talk brings you. Dial pound two five zero, 551 00:30:31,760 --> 00:30:37,520 Speaker 1: say Clay and Buck, Welcome back in Clay Travis Buck 552 00:30:37,560 --> 00:30:42,360 Speaker 1: Sexton show. Look, I wanted to read this because I 553 00:30:42,480 --> 00:30:44,520 Speaker 1: read it. I think it was on Sunday that it 554 00:30:44,560 --> 00:30:47,280 Speaker 1: came out, Buck, and you were just hinting at it. 555 00:30:47,280 --> 00:30:51,240 Speaker 1: It was sixteen hours ago. I guess. Elon Must said, 556 00:30:51,280 --> 00:30:55,520 Speaker 1: I strongly disagree. Forcing your pronouns when they don't ask 557 00:30:55,560 --> 00:30:59,240 Speaker 1: and implicitly ostracizing anyone who doesn't is neither good nor 558 00:30:59,360 --> 00:31:02,680 Speaker 1: kind to anyone. And then this part I loved. As 559 00:31:02,800 --> 00:31:07,160 Speaker 1: for Fauci, he lied to Congress and funded gain a 560 00:31:07,280 --> 00:31:12,120 Speaker 1: function research that killed millions of people. Not awesome in 561 00:31:12,160 --> 00:31:15,880 Speaker 1: my opinion. And that's why he's explaining why he said, 562 00:31:15,960 --> 00:31:20,240 Speaker 1: my favorite pronouns are basically prosecute and Fauci and yeah 563 00:31:20,240 --> 00:31:23,480 Speaker 1: and the announcing pronounce thing is ridiculous, and we're allowed 564 00:31:23,480 --> 00:31:25,520 Speaker 1: to say this is ridiculous because it is ridiculous. And 565 00:31:25,600 --> 00:31:27,320 Speaker 1: Elon Musk is the richest man in the world and 566 00:31:27,360 --> 00:31:31,760 Speaker 1: he recognizes the same thing. Now I want to build 567 00:31:31,800 --> 00:31:33,200 Speaker 1: on this too, and I'll talk about it a little 568 00:31:33,200 --> 00:31:35,440 Speaker 1: bit more and we start the next hour. Why I 569 00:31:35,480 --> 00:31:37,920 Speaker 1: think these primetime hearings are so important and we were 570 00:31:37,920 --> 00:31:41,640 Speaker 1: just talking about this off airbuck is we have to 571 00:31:41,960 --> 00:31:50,520 Speaker 1: scare straight Facebook, YouTube, Instagram, and Google the executives who 572 00:31:50,520 --> 00:31:54,760 Speaker 1: are rigging things, just like Twitter's bureaucracy did, such that 573 00:31:54,840 --> 00:31:59,160 Speaker 1: they suddenly think, uh, oh, if there are investigations coming 574 00:31:59,160 --> 00:32:02,280 Speaker 1: into the decision that we are making, are we going 575 00:32:02,320 --> 00:32:05,560 Speaker 1: to look as bad when our internal deliberations come out 576 00:32:05,600 --> 00:32:10,000 Speaker 1: as Twitter is looking. And that is a consequential move, 577 00:32:10,080 --> 00:32:15,800 Speaker 1: I believe, where everybody suddenly realizes, oh wait, the Republicans 578 00:32:15,800 --> 00:32:18,520 Speaker 1: in the House are going to be sending out subpoenas. 579 00:32:18,600 --> 00:32:21,200 Speaker 1: We're going to have to go testify. They have the 580 00:32:21,280 --> 00:32:24,680 Speaker 1: receipts on Twitter. Now, remember Elon Musk spent forty four 581 00:32:24,720 --> 00:32:27,800 Speaker 1: billion dollars for Twitter. Otherwise we would have never gotten 582 00:32:27,800 --> 00:32:30,080 Speaker 1: any of these any of these receipts, none of which 583 00:32:30,120 --> 00:32:32,920 Speaker 1: is also why the archives are so rich because they 584 00:32:32,920 --> 00:32:35,280 Speaker 1: weren't trying. They weren't trying to be sneaky. Everybody that 585 00:32:35,440 --> 00:32:37,360 Speaker 1: they thought they were in the trust treat They thought 586 00:32:37,400 --> 00:32:39,920 Speaker 1: they were in the nest. That's right. And unless he 587 00:32:40,000 --> 00:32:43,280 Speaker 1: had forty four billion dollars to buy Twitter, none of 588 00:32:43,320 --> 00:32:45,000 Speaker 1: this would have ever come out. So we may not 589 00:32:45,120 --> 00:32:50,480 Speaker 1: ever get the real documents from Facebook, YouTube, Google, and Instagram, 590 00:32:50,520 --> 00:32:53,760 Speaker 1: and god knows what's going on at TikTok, but we 591 00:32:53,800 --> 00:32:56,640 Speaker 1: at least are aware. You said this a while ago, 592 00:32:56,640 --> 00:32:58,520 Speaker 1: and I think you were one hundred percent right. One 593 00:32:58,560 --> 00:33:00,920 Speaker 1: of the biggest values, if not the biggest value for 594 00:33:01,000 --> 00:33:04,240 Speaker 1: Elon Musk buying Twitter, is just we actually get to 595 00:33:04,280 --> 00:33:07,760 Speaker 1: see behind the curtain of one big tech company, because 596 00:33:07,840 --> 00:33:10,200 Speaker 1: what it does is show us what's likely going on 597 00:33:10,200 --> 00:33:12,840 Speaker 1: because they're reaching the same result as all the other ones. 598 00:33:13,000 --> 00:33:16,240 Speaker 1: It's also nice to know that we were right, because 599 00:33:16,360 --> 00:33:20,560 Speaker 1: I remember, even back in like twenty eighteen, if you 600 00:33:20,720 --> 00:33:24,959 Speaker 1: talked about shadow banning, you were a flat earther. You were, 601 00:33:25,240 --> 00:33:27,800 Speaker 1: and there were other media outlets, of course that we're 602 00:33:27,800 --> 00:33:30,760 Speaker 1: writing about how you're a conspiracy theorist. Twitter is a 603 00:33:30,800 --> 00:33:35,600 Speaker 1: free speech platform. Twitter lied to everybody. I mean, here 604 00:33:35,800 --> 00:33:39,640 Speaker 1: is here is Jack Dorsey back in twenty sixteen. This 605 00:33:39,720 --> 00:33:43,520 Speaker 1: is a flashback Jack Dorsey to Matt Lauer, remember that guy. 606 00:33:43,640 --> 00:33:48,520 Speaker 1: Oh yeah, most overpaid manage or content of its users. 607 00:33:49,040 --> 00:33:53,160 Speaker 1: Does it hide what it would consider inflammatory comments, whether 608 00:33:53,200 --> 00:33:56,680 Speaker 1: they be social or political. Absolutely not. Twitter has always 609 00:33:56,720 --> 00:33:59,719 Speaker 1: been about controls. People can follow whoever they want, and 610 00:33:59,760 --> 00:34:01,400 Speaker 1: it's our job to make sure they see the most 611 00:34:01,440 --> 00:34:03,640 Speaker 1: important things and things that don't matter to them. So 612 00:34:03,720 --> 00:34:07,320 Speaker 1: anybody can say anything on Twitter. The company does not 613 00:34:07,440 --> 00:34:09,960 Speaker 1: go in there and take certain things out that can 614 00:34:10,000 --> 00:34:14,000 Speaker 1: be dangerous. But there's certain there's certainly tweets that promote violence, 615 00:34:14,000 --> 00:34:16,840 Speaker 1: which is against our terms of service. And people have 616 00:34:16,920 --> 00:34:19,480 Speaker 1: controls to block, and people have controls to mute. But 617 00:34:19,520 --> 00:34:23,560 Speaker 1: what about the company who decides the difference between criticism 618 00:34:23,640 --> 00:34:27,360 Speaker 1: and hate? These are the individuals see notice that he 619 00:34:27,400 --> 00:34:30,439 Speaker 1: goes violence and hate. These are things that he thinks 620 00:34:30,560 --> 00:34:34,600 Speaker 1: that they play, these word games, play incitement to violence. 621 00:34:35,160 --> 00:34:37,560 Speaker 1: That is one thing that Twitter and everyone, You and 622 00:34:37,560 --> 00:34:39,479 Speaker 1: I can both see here and say, yeah, you can't 623 00:34:39,520 --> 00:34:42,200 Speaker 1: say on Twitter, you know, go kill this person. That's 624 00:34:42,320 --> 00:34:44,960 Speaker 1: against the law and therefore should be against Twitter, or 625 00:34:45,239 --> 00:34:47,160 Speaker 1: go hurt this person, you know whatever, it may be 626 00:34:47,280 --> 00:34:50,480 Speaker 1: incitement to violence. You can't say that. But what the 627 00:34:50,560 --> 00:34:54,520 Speaker 1: Left does is say, oh, you won't use xe Z 628 00:34:54,960 --> 00:34:58,760 Speaker 1: as the preferred pronoun for this individual. You're literally killing 629 00:34:58,800 --> 00:35:02,600 Speaker 1: that person. That's what they do. They also define incitement 630 00:35:02,840 --> 00:35:06,080 Speaker 1: very broadly. Well, that's what I'm saying. It is. It is, 631 00:35:06,239 --> 00:35:09,160 Speaker 1: you know, like Trump. If you go look at everything 632 00:35:09,200 --> 00:35:11,600 Speaker 1: that Trump said around January sixth, and that's one of 633 00:35:11,600 --> 00:35:13,520 Speaker 1: the good things about his account coming back, like you 634 00:35:13,560 --> 00:35:15,600 Speaker 1: can go look at the most recent tweets that he 635 00:35:15,600 --> 00:35:19,520 Speaker 1: sent before he was banned. That is not incitement. One 636 00:35:19,520 --> 00:35:22,080 Speaker 1: thing I think is intoo about Dorsey. Yeah, first of all, 637 00:35:22,120 --> 00:35:24,480 Speaker 1: it would never stand up in a court yet an incitement, 638 00:35:24,520 --> 00:35:26,719 Speaker 1: no honest although a DC jury who knows, but no 639 00:35:26,800 --> 00:35:30,920 Speaker 1: honest story would ever see it. Otherwise, Jack Dorsey escapes 640 00:35:30,960 --> 00:35:32,960 Speaker 1: with very little blame in all this, I think because 641 00:35:32,960 --> 00:35:35,560 Speaker 1: he's you know, always working on growing like the longest 642 00:35:35,560 --> 00:35:38,200 Speaker 1: gotee in history and you know, living on I guess 643 00:35:38,200 --> 00:35:40,960 Speaker 1: it's Liver King who lived on bull testicles and raw dairy. 644 00:35:41,000 --> 00:35:45,520 Speaker 1: But whatever, I mean, Jack Dorsey's got some weird personal habits. 645 00:35:46,719 --> 00:35:50,439 Speaker 1: You know, he's he's very like into this austere Zen 646 00:35:50,520 --> 00:35:54,920 Speaker 1: like existence. Sometimes Clay his company was overtaken by woke lunatics. 647 00:35:54,960 --> 00:35:58,080 Speaker 1: There's only two options. He just was so incompetent and 648 00:35:58,320 --> 00:36:01,200 Speaker 1: oblivious he didn't realize or he's kind of just lying 649 00:36:01,239 --> 00:36:03,560 Speaker 1: to us. Because that thing where he just said, where 650 00:36:03,560 --> 00:36:06,239 Speaker 1: he just played the audio, Twitter does not absolutely not. 651 00:36:06,280 --> 00:36:08,920 Speaker 1: Twitter does not censor users. Huge lie. It was the 652 00:36:09,000 --> 00:36:11,520 Speaker 1: line in twenty sixteen. Yeah, and they also lied in 653 00:36:11,560 --> 00:36:15,399 Speaker 1: front of Congress. I think he was oblivious. I think 654 00:36:15,440 --> 00:36:17,600 Speaker 1: as more and more of this evidence comes out, I 655 00:36:17,680 --> 00:36:22,319 Speaker 1: think that the crazy bureaucrats took over his company and 656 00:36:22,520 --> 00:36:25,719 Speaker 1: placated him like he was a child. He was ostensibly 657 00:36:25,840 --> 00:36:29,000 Speaker 1: the leader, but it was a Joe Biden like administration 658 00:36:29,160 --> 00:36:31,799 Speaker 1: where they just kind of ignored him for the most 659 00:36:31,800 --> 00:36:34,879 Speaker 1: part and made decisions as they saw fit. So they 660 00:36:35,160 --> 00:36:38,759 Speaker 1: they pushed pushed Jack Dorsey out there, some aviators on 661 00:36:38,880 --> 00:36:41,000 Speaker 1: let him mutter a bit, gave him some apple sauce, 662 00:36:41,040 --> 00:36:42,480 Speaker 1: told him to go in the corner and be quiet. 663 00:36:42,560 --> 00:36:44,960 Speaker 1: That's kind of sad. It's kind of sad, but also 664 00:36:45,440 --> 00:36:47,960 Speaker 1: it means that they let him take on all the 665 00:36:48,080 --> 00:36:51,120 Speaker 1: legal liability by him ars testifying in front of Congress. 666 00:36:51,120 --> 00:36:53,680 Speaker 1: Instead of them, which is unfortunate to share