1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of the Clay Travis and Buck 2 00:00:03,360 --> 00:00:08,600 Speaker 1: Sexton Show podcast. Welcome in Clay Travis Buck Sexton Show 3 00:00:08,840 --> 00:00:12,039 Speaker 1: Friday edition of the program. Appreciate all of you hanging 4 00:00:12,039 --> 00:00:15,640 Speaker 1: out with us. Buck is out on the range today 5 00:00:15,840 --> 00:00:20,239 Speaker 1: taking part in hopefully we'll be a really really fun 6 00:00:20,320 --> 00:00:23,320 Speaker 1: day for he and the crew, and I am in 7 00:00:23,400 --> 00:00:27,640 Speaker 1: here solo with you. Appreciate all of you spending your 8 00:00:27,760 --> 00:00:32,080 Speaker 1: Friday with us on what is Let's be honest, a 9 00:00:32,400 --> 00:00:37,520 Speaker 1: jam packed day for news. So much for us to discuss, 10 00:00:37,720 --> 00:00:41,600 Speaker 1: so much for us to put into context, a ton 11 00:00:41,800 --> 00:00:44,080 Speaker 1: of story. He's gonna give you the phone number eight 12 00:00:44,159 --> 00:00:47,400 Speaker 1: hundred two eight two two eight eight two, letting you 13 00:00:47,479 --> 00:00:51,800 Speaker 1: know where we're headed. The Twitter Files, a second edition 14 00:00:51,960 --> 00:00:54,760 Speaker 1: of them was dropped last night. I think it is 15 00:00:54,800 --> 00:00:58,160 Speaker 1: even more of a bombshell story than the first New 16 00:00:58,240 --> 00:01:01,760 Speaker 1: York Post Hunter Biden story. I'm going to explain why 17 00:01:01,800 --> 00:01:04,760 Speaker 1: all of this matters, where we are headed, what I 18 00:01:04,800 --> 00:01:09,559 Speaker 1: think should occur as a result of this staggering news 19 00:01:09,560 --> 00:01:14,720 Speaker 1: break that happened last night. Also, Arizona Senator Kirsten Cinema 20 00:01:14,800 --> 00:01:18,959 Speaker 1: has flipped to an independent and left the Democrat Party. 21 00:01:19,040 --> 00:01:22,479 Speaker 1: Now she still is going to be caucusing in many 22 00:01:22,520 --> 00:01:26,319 Speaker 1: ways with the Democrats, but that fifty one forty nine 23 00:01:26,480 --> 00:01:30,040 Speaker 1: advantage for Democrats really kind of back to fifty fifty 24 00:01:30,160 --> 00:01:35,000 Speaker 1: and spinning this story forward, it puts, I believe, even 25 00:01:35,080 --> 00:01:39,240 Speaker 1: more pressure on Joe Mansion, Democrats senator from West Virginia, 26 00:01:39,280 --> 00:01:42,120 Speaker 1: who is up for reelection in twenty twenty four, to 27 00:01:42,280 --> 00:01:45,800 Speaker 1: make a calculated decision for his political future. Is he 28 00:01:45,880 --> 00:01:49,480 Speaker 1: going to retire or is he going to flip as 29 00:01:49,520 --> 00:01:53,080 Speaker 1: well to an independent or maybe even to a Republican 30 00:01:53,480 --> 00:01:56,640 Speaker 1: that could change the control of the United States Senate. 31 00:01:56,840 --> 00:02:00,600 Speaker 1: Brittany Griner has landed back in Texas. There are reports 32 00:02:00,640 --> 00:02:04,320 Speaker 1: now that the Biden administration had to make a choice 33 00:02:04,680 --> 00:02:08,680 Speaker 1: between whether Paul Whalen, who had been in prison for 34 00:02:08,720 --> 00:02:11,440 Speaker 1: four years and claims he's never done anything wrong, a 35 00:02:11,480 --> 00:02:15,360 Speaker 1: former United States Marine, should be returned, or whether Brittany 36 00:02:15,440 --> 00:02:19,320 Speaker 1: Griner should be returned. They are mocking the United States 37 00:02:19,440 --> 00:02:23,920 Speaker 1: in Russia because Brittany Griner, they say, was selected over 38 00:02:24,680 --> 00:02:28,800 Speaker 1: Paul Whalen. NBC News came out with a report saying 39 00:02:29,160 --> 00:02:32,520 Speaker 1: that's the exact choice that the Biden administration confronted. They 40 00:02:32,560 --> 00:02:36,520 Speaker 1: then edited their story and There's also a lot of 41 00:02:36,520 --> 00:02:40,240 Speaker 1: discussion about whether Saudi Arabia was involved and whether the 42 00:02:40,280 --> 00:02:44,040 Speaker 1: Biden administration, in order to get Saudi Arabia involved in 43 00:02:44,040 --> 00:02:47,800 Speaker 1: these negotiations with Russia, might have been willing to give 44 00:02:47,960 --> 00:02:52,760 Speaker 1: immunity to Mohammed been Salomon over the murder of Jamal Kashogi, 45 00:02:52,840 --> 00:02:59,359 Speaker 1: which has been reportedly undertaken by Saudi government. So so 46 00:02:59,400 --> 00:03:02,280 Speaker 1: many different stories. I'm sure there are many more things 47 00:03:02,320 --> 00:03:05,040 Speaker 1: that we will get into as well, but I want 48 00:03:05,040 --> 00:03:08,679 Speaker 1: to start with the Twitter files that were dropped to 49 00:03:08,800 --> 00:03:11,839 Speaker 1: last night. And I understand this can be a little 50 00:03:11,840 --> 00:03:15,239 Speaker 1: bit confusing, particularly if you are not on Twitter, so 51 00:03:15,320 --> 00:03:20,080 Speaker 1: let me put the whole picture available for you to start. So, 52 00:03:20,480 --> 00:03:24,679 Speaker 1: Elon Musk bought Twitter for forty four billion dollars. As 53 00:03:24,680 --> 00:03:27,760 Speaker 1: a part of that process, Elon Musk has said, I 54 00:03:27,840 --> 00:03:30,760 Speaker 1: believe we need to shine a bright light, bring some 55 00:03:30,880 --> 00:03:37,240 Speaker 1: sunshine to everything surrounding what happened with Twitter, over all 56 00:03:37,280 --> 00:03:40,880 Speaker 1: of the controversies in the past decade or so. So 57 00:03:40,920 --> 00:03:43,480 Speaker 1: they are they have committed. Elon Musk and the new 58 00:03:43,520 --> 00:03:46,080 Speaker 1: team at Twitter has committed that they are going to 59 00:03:46,120 --> 00:03:49,839 Speaker 1: release all of these documents that they are going to 60 00:03:49,960 --> 00:03:53,200 Speaker 1: let us see for ourselves what actually took place in 61 00:03:53,240 --> 00:03:55,920 Speaker 1: these stories. And so the first thing that they're doing, 62 00:03:56,320 --> 00:03:59,360 Speaker 1: the very first document release was about the New York 63 00:03:59,400 --> 00:04:02,600 Speaker 1: Post and how was it that the Hunter Biden story 64 00:04:02,680 --> 00:04:06,880 Speaker 1: the laptop ended up getting censored was not widely distributed? 65 00:04:07,080 --> 00:04:10,320 Speaker 1: How was that decision made? All of those documents that 66 00:04:10,400 --> 00:04:14,880 Speaker 1: were still in existence were shared by journalist Matt Tiabi, 67 00:04:15,680 --> 00:04:18,359 Speaker 1: and you had an opportunity to check out all of 68 00:04:18,400 --> 00:04:22,719 Speaker 1: that last night a second document drop. And let me 69 00:04:22,760 --> 00:04:26,839 Speaker 1: just say, the New York Post story was important because 70 00:04:27,320 --> 00:04:32,320 Speaker 1: it demonstrated a clear and calculated attempt, in my opinion, 71 00:04:32,839 --> 00:04:35,520 Speaker 1: to influence the outcome of the twenty twenty election. It 72 00:04:35,640 --> 00:04:40,760 Speaker 1: pretty clearly demonstrated I believe that the twenty twenty election 73 00:04:40,960 --> 00:04:44,240 Speaker 1: was rigged between big tech and the Biden campaign. And 74 00:04:44,279 --> 00:04:47,000 Speaker 1: the part of that story that I believe is the 75 00:04:47,080 --> 00:04:52,120 Speaker 1: most compelling is the reports that the FBI was staging 76 00:04:52,520 --> 00:04:57,440 Speaker 1: weekly meetings with the big tech companies to allow all 77 00:04:57,520 --> 00:05:01,680 Speaker 1: of these conversations to take place and then set in 78 00:05:01,839 --> 00:05:06,400 Speaker 1: place the presumption. Because remember, the FBI had Rudy Giuliani 79 00:05:06,520 --> 00:05:09,960 Speaker 1: under surveillance. They knew that he had this laptop and 80 00:05:10,000 --> 00:05:13,440 Speaker 1: that he was shopping it to a variety of different 81 00:05:13,480 --> 00:05:16,559 Speaker 1: media outlets. They knew that this New York Post story 82 00:05:16,680 --> 00:05:20,120 Speaker 1: was coming, so they went and seeded the doubt in 83 00:05:20,200 --> 00:05:24,239 Speaker 1: big tech companies that this was Russian collusion, even though 84 00:05:24,279 --> 00:05:27,480 Speaker 1: they had the FBI themselves had been in possession of 85 00:05:27,520 --> 00:05:31,120 Speaker 1: this laptop since December of twenty nineteen. So the first 86 00:05:31,200 --> 00:05:35,719 Speaker 1: release of the Twitter files I think demonstrated quite clearly 87 00:05:35,839 --> 00:05:42,600 Speaker 1: a political crime that was as big as anything since Watergate, 88 00:05:42,640 --> 00:05:45,359 Speaker 1: and I think quite a lot bigger. Okay, that was 89 00:05:45,400 --> 00:05:49,440 Speaker 1: the first release. I was completely blown away by the 90 00:05:49,520 --> 00:05:53,800 Speaker 1: second release, which is what happened last night. What they 91 00:05:53,880 --> 00:05:59,800 Speaker 1: released last night is definitive evidence that Twitter and top 92 00:06:00,240 --> 00:06:06,200 Speaker 1: left wing Twitter executives were intentionally altering all of the 93 00:06:06,240 --> 00:06:10,400 Speaker 1: conversations that were taking place on Twitter, that people who 94 00:06:10,400 --> 00:06:15,599 Speaker 1: were conservative in nature were being effectively blacklisted, hidden from 95 00:06:15,600 --> 00:06:21,320 Speaker 1: search results. They laid out specifically all of these different accounts. 96 00:06:21,640 --> 00:06:24,120 Speaker 1: What I would call on for Elon Musk is to 97 00:06:24,200 --> 00:06:28,680 Speaker 1: make all of the public super popular accounts, make all 98 00:06:28,720 --> 00:06:31,839 Speaker 1: of what Twitter did to those accounts public. And Bucket 99 00:06:31,880 --> 00:06:35,120 Speaker 1: Eye told you this as soon as news came down 100 00:06:35,120 --> 00:06:37,640 Speaker 1: that Elon Musk was going to buy Twitter, all of 101 00:06:37,680 --> 00:06:41,640 Speaker 1: a sudden, our Twitter accounts were on fire. We're adding 102 00:06:41,960 --> 00:06:46,160 Speaker 1: thousands and thousands, tens of thousands of new followers. That 103 00:06:46,200 --> 00:06:48,160 Speaker 1: was a pretty good sign that they were trying to 104 00:06:48,200 --> 00:06:51,080 Speaker 1: burn the evidence of what they had done inside of 105 00:06:51,120 --> 00:06:56,000 Speaker 1: Twitter to try to avoid consequences for their behavior. So 106 00:06:56,080 --> 00:06:58,839 Speaker 1: we knew all of the evidence was out there to 107 00:06:59,000 --> 00:07:02,479 Speaker 1: suggest Sir, coubstantially what was going on in terms of 108 00:07:02,760 --> 00:07:06,840 Speaker 1: the rig job inside of Twitter. But what is now 109 00:07:06,920 --> 00:07:10,480 Speaker 1: going on is we are seeing the actual receipts. Now, 110 00:07:10,520 --> 00:07:14,080 Speaker 1: the concrete evidence is coming in, and there is no 111 00:07:14,120 --> 00:07:17,960 Speaker 1: way to dispute that Twitter was engaged in the greatest 112 00:07:18,120 --> 00:07:22,080 Speaker 1: threat to our democracy in any of our lives by 113 00:07:22,200 --> 00:07:26,920 Speaker 1: rigging things in favor of far left wing political ideals. 114 00:07:27,560 --> 00:07:32,440 Speaker 1: That's the truth. This indisputable. So what needs to happen now? 115 00:07:32,720 --> 00:07:34,480 Speaker 1: And I'm going to open up the phones and let 116 00:07:34,520 --> 00:07:37,880 Speaker 1: you guys call in throughout this show because a lot 117 00:07:37,880 --> 00:07:39,480 Speaker 1: of these topics that we're going to be discussing are 118 00:07:39,520 --> 00:07:41,560 Speaker 1: somewhat complicated, and I understand that a lot of you 119 00:07:41,600 --> 00:07:45,800 Speaker 1: are not as active on the tech platforms. So first 120 00:07:45,800 --> 00:07:49,120 Speaker 1: of all, remember we're just getting a window into Twitter 121 00:07:49,240 --> 00:07:57,280 Speaker 1: standing alone, and they're still Instagram, Google, YouTube, Facebook, all 122 00:07:57,320 --> 00:07:59,920 Speaker 1: of these other certainly TikTok, which is owned by the Chinese, 123 00:08:00,160 --> 00:08:04,040 Speaker 1: but all of these other big tech platforms. Elon Musk 124 00:08:04,160 --> 00:08:08,000 Speaker 1: is effectively letting us see behind the curtain how the 125 00:08:08,120 --> 00:08:12,280 Speaker 1: Twitter app, how the Twitter business was run, and all 126 00:08:12,320 --> 00:08:16,040 Speaker 1: the rigging that was going on. But it's not just Twitter. 127 00:08:16,640 --> 00:08:20,720 Speaker 1: We just have optics on Twitter because the other big 128 00:08:20,720 --> 00:08:24,680 Speaker 1: tech companies are more firmly aligned to left wing politics 129 00:08:24,720 --> 00:08:28,520 Speaker 1: and they don't want to tell on themselves. So remember, 130 00:08:28,840 --> 00:08:33,160 Speaker 1: what we're seeing from Twitter is also there's strong evidence 131 00:08:33,160 --> 00:08:35,319 Speaker 1: because we know the FBI was briefing all these other 132 00:08:35,360 --> 00:08:37,720 Speaker 1: tech companies. We know these tech companies are filled with 133 00:08:37,760 --> 00:08:42,160 Speaker 1: far left wing zelots, very strong evidence that the exact 134 00:08:42,200 --> 00:08:44,760 Speaker 1: same Malfe sense that we are seeing from inside of 135 00:08:44,800 --> 00:08:51,600 Speaker 1: Twitter is actually occurring at Facebook, at YouTube, at Google, 136 00:08:52,040 --> 00:08:56,240 Speaker 1: at Instagram, and certainly at TikTok, all of these places 137 00:08:56,240 --> 00:08:59,920 Speaker 1: that are wildly influential. And if you're not on social media, 138 00:09:00,200 --> 00:09:03,079 Speaker 1: or you're not very active on social media, I understand 139 00:09:03,080 --> 00:09:07,880 Speaker 1: that most Americans are, and certainly your kids and grandkids are. 140 00:09:08,320 --> 00:09:14,040 Speaker 1: So if you have been thinking for the past several years, 141 00:09:14,120 --> 00:09:18,120 Speaker 1: and I know I have what in the world has 142 00:09:18,160 --> 00:09:22,599 Speaker 1: gone on in this country that everything has gone completely insane. 143 00:09:23,600 --> 00:09:28,960 Speaker 1: This is what was going on. A handful of far 144 00:09:29,240 --> 00:09:35,679 Speaker 1: left wing activists conspired to rig our national political discourse 145 00:09:36,520 --> 00:09:40,120 Speaker 1: and make people like you and me seem like we 146 00:09:40,200 --> 00:09:45,760 Speaker 1: didn't exist. And people in media take so much of 147 00:09:45,800 --> 00:09:49,120 Speaker 1: their lead off of what trending topics are on Twitter 148 00:09:49,400 --> 00:09:52,040 Speaker 1: and what the responses are on Twitter, and frankly, what 149 00:09:52,120 --> 00:09:56,640 Speaker 1: follower counts exist on Twitter, that they were leaving and 150 00:09:56,880 --> 00:10:02,840 Speaker 1: using this artificially distorted reality. They were allowing that to 151 00:10:02,920 --> 00:10:07,920 Speaker 1: be a representative example of the larger American marketplace. And 152 00:10:08,120 --> 00:10:11,400 Speaker 1: I will just use as an example here of how 153 00:10:11,440 --> 00:10:16,600 Speaker 1: this distortion has occurred. Barack Obama got elected in two 154 00:10:16,679 --> 00:10:22,520 Speaker 1: thousand and eight, before social media existed. Really, these companies 155 00:10:22,559 --> 00:10:26,040 Speaker 1: were in their infancies. They didn't really have a strong impact. 156 00:10:27,600 --> 00:10:32,439 Speaker 1: Do you know or remember what Barack Obama's two thousand 157 00:10:32,440 --> 00:10:36,600 Speaker 1: and eight campaign was like, You're going to be stunned. 158 00:10:37,840 --> 00:10:42,640 Speaker 1: It was like Ronald Reagan's nineteen eighty campaign. It was 159 00:10:42,679 --> 00:10:47,160 Speaker 1: like Bill Clinton's nineteen ninety two campaign. Yes, those guys 160 00:10:47,200 --> 00:10:51,000 Speaker 1: were Clinton was a Democrat and Obama was a Democrat. 161 00:10:51,520 --> 00:10:55,000 Speaker 1: But they were running effectively on the sunny side of 162 00:10:55,040 --> 00:11:00,240 Speaker 1: the mountain. They ran the nineteen eighty Ronald Reagan presidential campaign. 163 00:11:02,040 --> 00:11:04,160 Speaker 1: And if you're out there and you're thinking now, remember 164 00:11:04,400 --> 00:11:08,640 Speaker 1: Obama's entire two thousand and eight campaign was, America is 165 00:11:08,679 --> 00:11:13,440 Speaker 1: so amazing that a biracial kid from Hawaii who grew 166 00:11:13,520 --> 00:11:16,840 Speaker 1: up without his dad can become the president of the 167 00:11:16,920 --> 00:11:21,840 Speaker 1: United States, even with a name like Obama. And people 168 00:11:22,160 --> 00:11:29,679 Speaker 1: absolutely loved that campaign. Compare that campaign with the campaign 169 00:11:29,679 --> 00:11:33,000 Speaker 1: that Joe Biden just ran in twenty twenty, where he 170 00:11:33,080 --> 00:11:38,280 Speaker 1: said America is an awful, racist place. America is filled 171 00:11:38,480 --> 00:11:42,640 Speaker 1: Hillary Clinton twenty sixteen with deplorables that you and me, 172 00:11:42,760 --> 00:11:46,120 Speaker 1: if we supported Donald Trump, were evil and racist and 173 00:11:46,160 --> 00:11:48,160 Speaker 1: we were a part of Jim Crow two point zero. 174 00:11:49,800 --> 00:11:54,760 Speaker 1: Think about what that transition represents. From two thousand and eight, 175 00:11:54,760 --> 00:11:58,720 Speaker 1: even if you don't like Obama at all, Ronald Reagan 176 00:11:58,800 --> 00:12:02,760 Speaker 1: liked campaign about how amazing America is to twenty twenty, 177 00:12:02,960 --> 00:12:06,959 Speaker 1: America's a white supremacy laden, awful place. And a lot 178 00:12:06,960 --> 00:12:08,920 Speaker 1: of you were looking around saying, well, wait, it's just 179 00:12:09,000 --> 00:12:12,360 Speaker 1: been twelve years. How did we ever get to these campaigns? 180 00:12:12,360 --> 00:12:15,880 Speaker 1: How did the Hillary twenty sixteen campaign ever arise. How 181 00:12:15,960 --> 00:12:20,600 Speaker 1: did frankly, Donald Trump's campaign of making America great again 182 00:12:20,960 --> 00:12:23,600 Speaker 1: ever need to arise, Because in two thousand and eight, 183 00:12:24,120 --> 00:12:27,600 Speaker 1: Obama ran on America's the greatest country that's ever existed 184 00:12:27,600 --> 00:12:29,600 Speaker 1: in the history of the world. This place is amazing, 185 00:12:29,880 --> 00:12:35,040 Speaker 1: and I'm an epitomization of that incredible nature of our country. 186 00:12:35,679 --> 00:12:38,760 Speaker 1: I think it was because social media, starting in two 187 00:12:38,800 --> 00:12:43,480 Speaker 1: thousand and eight, artificially rigged the game to convince lots 188 00:12:43,480 --> 00:12:48,400 Speaker 1: of Americans, through viral videos that were not representative of 189 00:12:48,400 --> 00:12:50,800 Speaker 1: what was really going on in the country, that this 190 00:12:50,920 --> 00:12:55,000 Speaker 1: was truly an awful place, and that America sixteen nineteen 191 00:12:55,040 --> 00:13:01,199 Speaker 1: project everything fell directly in connection with this big tech collusion. 192 00:13:01,600 --> 00:13:06,840 Speaker 1: They sold a monstrous lie that undercut the very legitimacy 193 00:13:07,040 --> 00:13:10,040 Speaker 1: of this country as the greatest place in the history 194 00:13:10,040 --> 00:13:12,440 Speaker 1: of the world and the freest place in the history 195 00:13:12,480 --> 00:13:16,040 Speaker 1: of the world. And that is why we need severe consequences. 196 00:13:16,040 --> 00:13:17,800 Speaker 1: And I'm gonna tell you what those consequences need to 197 00:13:17,840 --> 00:13:20,640 Speaker 1: be in the next segment. You can also vote up 198 00:13:20,640 --> 00:13:24,920 Speaker 1: the lines eight hundred two two two. Appreciate all of 199 00:13:25,000 --> 00:13:27,880 Speaker 1: you hanging out with us as we are rolling through 200 00:13:28,080 --> 00:13:30,719 Speaker 1: with tons of big news stories out there, going to 201 00:13:30,760 --> 00:13:32,960 Speaker 1: try to educate and entertain you a little bit, as 202 00:13:32,960 --> 00:13:35,160 Speaker 1: we do every single day for three hours. But I 203 00:13:35,200 --> 00:13:38,200 Speaker 1: also want to tell you, are you looking around right 204 00:13:38,240 --> 00:13:40,600 Speaker 1: now at some of the people who are running Twitter. 205 00:13:40,840 --> 00:13:43,600 Speaker 1: Have you seen these dudes? They are the definition of 206 00:13:43,640 --> 00:13:46,200 Speaker 1: beta males. I don't know that they have an ounce 207 00:13:46,200 --> 00:13:50,080 Speaker 1: of testosterone in their entire bodies. They are running around 208 00:13:50,520 --> 00:13:53,920 Speaker 1: terrified that if people say mean things online that they're 209 00:13:53,920 --> 00:13:56,760 Speaker 1: gonna hurt feelings, and hurt feelings as the equivalent to 210 00:13:56,800 --> 00:13:59,880 Speaker 1: them of broken bones. And you just can't allow that. 211 00:14:00,640 --> 00:14:03,280 Speaker 1: This is what the beta mail does. This is what 212 00:14:03,320 --> 00:14:05,600 Speaker 1: the lack of testosterone in our country leads to. It 213 00:14:05,679 --> 00:14:07,880 Speaker 1: leads to the Biden White House. It leads to a 214 00:14:07,920 --> 00:14:11,000 Speaker 1: Biden White House getting taken advantage of by Vladimir Putin 215 00:14:11,200 --> 00:14:14,160 Speaker 1: and just bending over and taking it and giving up 216 00:14:14,400 --> 00:14:18,800 Speaker 1: the merchant of death in exchange for a w NBA player. 217 00:14:18,920 --> 00:14:21,240 Speaker 1: It's a worst trade of all time. Bill O'Brien out 218 00:14:21,280 --> 00:14:23,920 Speaker 1: there pulling the strings on this trade. Sorry, Houston Texans fans. Well, 219 00:14:24,480 --> 00:14:28,440 Speaker 1: my guy here at Chalk, he's a Texan, seventh generation Texan. 220 00:14:28,800 --> 00:14:31,720 Speaker 1: We love testosterone. If you want to feel better, you 221 00:14:31,720 --> 00:14:33,880 Speaker 1: want to have more vim vigor, vitality, if you want 222 00:14:33,880 --> 00:14:36,680 Speaker 1: to get back to feeling like you are on top 223 00:14:36,720 --> 00:14:39,240 Speaker 1: of the world. Testosterone. Emon Must said it the other day. 224 00:14:39,320 --> 00:14:41,520 Speaker 1: It's a pretty great thing, and we got way too 225 00:14:41,520 --> 00:14:43,800 Speaker 1: little of it in America. Right now, Well, you can 226 00:14:43,840 --> 00:14:45,240 Speaker 1: get hooked up right now if you go to our 227 00:14:45,240 --> 00:14:48,720 Speaker 1: friends at chalk shoq. You can find them online right there, 228 00:14:48,720 --> 00:14:52,280 Speaker 1: that's chalkhoq dot com. And right now, if you use 229 00:14:52,360 --> 00:14:55,800 Speaker 1: my name, that's Clay Clay, you can get thirty five 230 00:14:55,880 --> 00:14:59,560 Speaker 1: percent off any chalk subscription for life. Chalk dot com 231 00:14:59,600 --> 00:15:03,760 Speaker 1: SA choke my name Clay for thirty five percent off. 232 00:15:04,000 --> 00:15:06,160 Speaker 1: You want to have testosterone in your life, maybe you 233 00:15:06,160 --> 00:15:08,240 Speaker 1: want to send it to the Biden White House and say, hey, guys, 234 00:15:08,320 --> 00:15:11,160 Speaker 1: start taking this. Certainly everybody who got fired at Twitter 235 00:15:11,280 --> 00:15:14,040 Speaker 1: Beta mails they could use some testosterone as well. Thirty 236 00:15:14,040 --> 00:15:17,800 Speaker 1: five percent off for life. Put some manhood back in 237 00:15:17,840 --> 00:15:24,600 Speaker 1: this country with chalkcchoq dot com, my name Clay, Welcome 238 00:15:24,600 --> 00:15:28,240 Speaker 1: back in Clay chre Avis buck Sexton Show. It is 239 00:15:28,480 --> 00:15:33,560 Speaker 1: I believe the biggest story on election rigging in our 240 00:15:33,920 --> 00:15:39,240 Speaker 1: nation's history that is currently being shared by Elon Musk 241 00:15:39,560 --> 00:15:43,440 Speaker 1: and Twitter. What kind of attention do you think we're 242 00:15:43,440 --> 00:15:47,160 Speaker 1: getting from the people who claim that they care so 243 00:15:47,240 --> 00:15:51,120 Speaker 1: much about the fate of American democracy? Remember Washington Post, 244 00:15:51,360 --> 00:15:53,840 Speaker 1: democracy dies in darkness is what they have written at 245 00:15:53,840 --> 00:16:01,479 Speaker 1: the top of their newspaper. How about The New York Times, ABC, CBS, NBC, CNN, MSNBC, 246 00:16:01,640 --> 00:16:04,320 Speaker 1: all the usual suspects. How much do you think they're 247 00:16:04,360 --> 00:16:08,920 Speaker 1: actually covering the biggest story about a rig job in 248 00:16:09,080 --> 00:16:14,680 Speaker 1: our nation's history, certainly in any of our lives. They 249 00:16:14,920 --> 00:16:17,520 Speaker 1: told you that Russia collusion was such a big thing. 250 00:16:17,560 --> 00:16:22,119 Speaker 1: In twenty sixteen, we got actual collusion from actual American 251 00:16:22,200 --> 00:16:27,400 Speaker 1: big tech companies, demonstrably occurring, with concrete evidence being shared 252 00:16:27,440 --> 00:16:30,720 Speaker 1: by Twitter right now. And the only reason we're getting 253 00:16:30,720 --> 00:16:33,080 Speaker 1: to see this is because Elon Musk spent forty four 254 00:16:33,120 --> 00:16:35,600 Speaker 1: billion dollars to buy Twitter, which I'll talk about in 255 00:16:35,600 --> 00:16:39,120 Speaker 1: a little bit. But Harris Faulkner on Fox News, it's 256 00:16:39,160 --> 00:16:44,640 Speaker 1: pointing out, hey, the coverage of this blockbuster revelation, this 257 00:16:44,760 --> 00:16:48,840 Speaker 1: ongoing story that is probably the biggest and most significant 258 00:16:48,880 --> 00:16:52,480 Speaker 1: in any of our lives about what exactly was going 259 00:16:52,520 --> 00:16:56,040 Speaker 1: on to rig elections and to put a finger on 260 00:16:56,080 --> 00:16:59,360 Speaker 1: the scale in favor of Democrats and far left wing 261 00:16:59,400 --> 00:17:05,520 Speaker 1: political ideas. The propaganda media out there is almost not 262 00:17:05,840 --> 00:17:08,560 Speaker 1: even covering this at all. Listen to Harris Faulkner. According 263 00:17:08,560 --> 00:17:12,080 Speaker 1: to the Media Research Center, broadcast networks ignore the first 264 00:17:12,119 --> 00:17:14,840 Speaker 1: release of the Twitter files on Tuesday of this week, 265 00:17:15,240 --> 00:17:18,840 Speaker 1: and the number of minutes spent on the topic during 266 00:17:18,880 --> 00:17:23,600 Speaker 1: their flagship morning and evening broadcasts as of yesterday afternoon 267 00:17:24,080 --> 00:17:28,480 Speaker 1: exactly zero. So now you have a furthering of complicity 268 00:17:28,680 --> 00:17:31,960 Speaker 1: of those in the media working together with those in 269 00:17:32,119 --> 00:17:35,880 Speaker 1: social media, and it all just melds together. I mean, 270 00:17:36,080 --> 00:17:39,760 Speaker 1: that's well said by Harris Faulkner on Fox News zero. 271 00:17:40,680 --> 00:17:47,240 Speaker 1: The biggest election and political scandal of our lives, and 272 00:17:47,480 --> 00:17:52,240 Speaker 1: all of these legacy media outlets are not spending a 273 00:17:52,400 --> 00:17:56,320 Speaker 1: single minute covering it. I'm going to tell you what 274 00:17:56,359 --> 00:17:59,480 Speaker 1: the consequences should be next for all of these lies. 275 00:17:59,520 --> 00:18:02,200 Speaker 1: But in mean time, our friends at My Pillow they 276 00:18:02,200 --> 00:18:05,200 Speaker 1: are excited to give you an incredible offer. Right now, 277 00:18:05,520 --> 00:18:08,040 Speaker 1: you can get a my Pillow mattress topper for a 278 00:18:08,119 --> 00:18:11,160 Speaker 1: Lolow cost of ninety nine ninety nine. 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Enter the promo 288 00:18:41,800 --> 00:18:45,680 Speaker 1: code Clay and Buck or call eight hundred seven nine 289 00:18:45,720 --> 00:18:49,760 Speaker 1: two thirty two sixty nine for these great limited time specials. 290 00:18:50,040 --> 00:18:53,200 Speaker 1: Again my pillow dot Com use the code Clay and Buck. 291 00:18:55,880 --> 00:18:59,800 Speaker 1: Welcome back in Clay Travis buck Sexton Show. Encourage all 292 00:18:59,840 --> 00:19:03,120 Speaker 1: of you to go subscribe to the podcast. You can 293 00:19:03,160 --> 00:19:06,680 Speaker 1: find us Clay Travis buck Sexton Bucks out for the day, 294 00:19:07,680 --> 00:19:10,240 Speaker 1: but you can find us every single day just about 295 00:19:10,320 --> 00:19:14,679 Speaker 1: as well as a Sunday special podcast. Also, I have 296 00:19:14,800 --> 00:19:19,080 Speaker 1: been blown away by the quality of emails from you 297 00:19:19,200 --> 00:19:25,399 Speaker 1: guys since yesterday, the explosion of reaction that came from 298 00:19:25,480 --> 00:19:28,560 Speaker 1: Ann Coulter, the interview that we had yesterday. I'll read 299 00:19:28,600 --> 00:19:30,919 Speaker 1: some more of those, but if you really love the show, 300 00:19:31,640 --> 00:19:34,360 Speaker 1: you can also go to Clay and Buck dot com 301 00:19:34,400 --> 00:19:37,600 Speaker 1: and subscribe to the VIP. You'll get a video feed 302 00:19:37,800 --> 00:19:41,199 Speaker 1: of the show there, as well as the ability to 303 00:19:41,240 --> 00:19:44,200 Speaker 1: reach out send the IP emails that will be looked 304 00:19:44,200 --> 00:19:46,080 Speaker 1: at by the staff and they'll forward some of those 305 00:19:46,119 --> 00:19:49,760 Speaker 1: two us. So it's very cool holiday gift, super good idea. 306 00:19:50,040 --> 00:19:52,960 Speaker 1: Would encourage you to consider doing both of those things 307 00:19:52,960 --> 00:19:59,720 Speaker 1: if you have not already now. January sixth for Democrats 308 00:20:00,080 --> 00:20:02,840 Speaker 1: is the equivalent of nine to eleven. That's why they've 309 00:20:02,880 --> 00:20:06,880 Speaker 1: made Jan six the thing right because they want to 310 00:20:06,920 --> 00:20:10,680 Speaker 1: try to brand it as a fundamental threat to democracy 311 00:20:10,960 --> 00:20:15,480 Speaker 1: that is indicative of why Republicans cannot win elections. And sadly, 312 00:20:16,080 --> 00:20:20,560 Speaker 1: that actually worked in the five biggest battleground states in 313 00:20:20,600 --> 00:20:25,120 Speaker 1: twenty twenty two, they had success with independent voters who 314 00:20:25,160 --> 00:20:27,119 Speaker 1: decided the last minute, which way are they going to go? 315 00:20:27,240 --> 00:20:31,119 Speaker 1: Those people broke for Democrats by about two points. And 316 00:20:31,280 --> 00:20:34,120 Speaker 1: one of the reasons that they did was because they 317 00:20:34,119 --> 00:20:36,880 Speaker 1: bought into this jan sixth lie. Why did the Jan 318 00:20:36,960 --> 00:20:40,800 Speaker 1: sixth lie work well? Democrats were committed to it. They 319 00:20:40,840 --> 00:20:46,200 Speaker 1: were willing to have primetime hearings, which forced many people 320 00:20:46,240 --> 00:20:49,600 Speaker 1: to talk about January sixth reason why I bring that up. 321 00:20:50,440 --> 00:20:54,000 Speaker 1: We are going to take over the House in January. 322 00:20:54,880 --> 00:20:58,000 Speaker 1: They're one billion percent. Some of you maybe have seen 323 00:20:58,000 --> 00:21:01,200 Speaker 1: me alongside of Stephen Miller last night on Sean Hannity's 324 00:21:01,200 --> 00:21:06,280 Speaker 1: show saying this, they're one hundred billion percent. Has to 325 00:21:06,359 --> 00:21:12,160 Speaker 1: be primetime hearings about these Twitter crimes. And I say 326 00:21:12,200 --> 00:21:17,800 Speaker 1: crimes because this was criminal. In my opinion, there are 327 00:21:17,920 --> 00:21:22,479 Speaker 1: loads of lies out there from prominent Twitter executives in 328 00:21:22,600 --> 00:21:27,040 Speaker 1: public statements before Congress, in public filings in front of 329 00:21:27,040 --> 00:21:30,680 Speaker 1: our government, that are under proof of perjury that we 330 00:21:30,760 --> 00:21:35,040 Speaker 1: need to expose. I am telling you that the House 331 00:21:35,359 --> 00:21:40,679 Speaker 1: needs to have primetime hearings into big tech collusion and 332 00:21:40,760 --> 00:21:43,520 Speaker 1: the rig job that has been going on not only 333 00:21:43,560 --> 00:21:47,359 Speaker 1: in twenty twenty for the election, but for years on 334 00:21:47,440 --> 00:21:50,480 Speaker 1: either side of twenty twenty. We need to make those 335 00:21:50,520 --> 00:21:52,760 Speaker 1: primetime hearings because you just heard me play the clip 336 00:21:52,800 --> 00:21:57,879 Speaker 1: from Harris Faulkner saying CBS, NBC, ABC, they won't cover it. 337 00:21:58,640 --> 00:22:01,760 Speaker 1: There are tons of people out there that have no 338 00:22:01,840 --> 00:22:04,840 Speaker 1: idea this is going on now. The big difference I 339 00:22:04,840 --> 00:22:08,640 Speaker 1: would say between left wingers and right wingers is right 340 00:22:08,680 --> 00:22:13,760 Speaker 1: wingers know everything that left wingers say, because we're marinating 341 00:22:13,840 --> 00:22:17,840 Speaker 1: in it, you can't escape it. A lot of what 342 00:22:17,960 --> 00:22:23,119 Speaker 1: we say they have no idea exist because their propaganda 343 00:22:23,200 --> 00:22:29,199 Speaker 1: machine is stronger and more efficient at colluding and keeping 344 00:22:29,240 --> 00:22:32,480 Speaker 1: stories like these out of the public eye. So we 345 00:22:32,520 --> 00:22:36,760 Speaker 1: need to have primetime hearings now for the next two years. 346 00:22:37,040 --> 00:22:39,399 Speaker 1: We know the Merrick Garland Department of Justice is not 347 00:22:39,440 --> 00:22:42,680 Speaker 1: going to do anything of a criminal nature here. They're 348 00:22:42,680 --> 00:22:47,000 Speaker 1: too busy arresting people protesting outside of abortion clinics and 349 00:22:47,800 --> 00:22:50,800 Speaker 1: threatening and investigating parents who spoke at their school board 350 00:22:50,840 --> 00:22:55,480 Speaker 1: meetings to actually bring any criminal charges about the biggest 351 00:22:55,600 --> 00:23:00,840 Speaker 1: threat to our free and fair elections and our free 352 00:23:00,880 --> 00:23:05,000 Speaker 1: and fair marketplace of ideas that has existed in any 353 00:23:05,000 --> 00:23:08,479 Speaker 1: of our lives, this Twitter rig job. But here's what 354 00:23:08,520 --> 00:23:11,280 Speaker 1: the primetime hearings will do. First of all, they will 355 00:23:11,320 --> 00:23:14,800 Speaker 1: on some level require the media to cover. This is why, 356 00:23:14,840 --> 00:23:17,159 Speaker 1: for instance, Joe Biden not going to the border is 357 00:23:17,200 --> 00:23:20,119 Speaker 1: such a big deal, because Joe Biden knows if he 358 00:23:20,240 --> 00:23:24,439 Speaker 1: goes to the border, all of the complicit stooges in 359 00:23:24,520 --> 00:23:27,800 Speaker 1: the White House press corps who cover for his incompetence 360 00:23:28,080 --> 00:23:31,160 Speaker 1: would be forced to write about the border because he's 361 00:23:31,200 --> 00:23:39,200 Speaker 1: going there, House Republicans primetime hearings, even the complicit propaganda 362 00:23:39,280 --> 00:23:44,280 Speaker 1: media would be forced to cover this. Importantly, they would 363 00:23:44,320 --> 00:23:49,920 Speaker 1: also develop a record and evidentiary nature of crimes that 364 00:23:49,960 --> 00:23:55,360 Speaker 1: are being committed by Twitter executives. When twenty twenty four 365 00:23:55,400 --> 00:23:59,640 Speaker 1: comes here, one of the platforms that whomever the nominee 366 00:23:59,720 --> 00:24:02,720 Speaker 1: is in twenty twenty four needs to run on is 367 00:24:03,320 --> 00:24:09,720 Speaker 1: I will prosecute big tech crimes involved in covering up 368 00:24:10,160 --> 00:24:16,560 Speaker 1: all of this activity that has led to a fundamental altering, 369 00:24:16,600 --> 00:24:19,239 Speaker 1: not only in the twenty twenty election, because I do 370 00:24:19,359 --> 00:24:23,440 Speaker 1: believe that the way that they covered the Hunter Biden laptop, 371 00:24:23,920 --> 00:24:26,520 Speaker 1: if that had been covered honestly, frankly, if it had 372 00:24:26,560 --> 00:24:28,960 Speaker 1: been covered anything like it would have been, if Donald 373 00:24:29,000 --> 00:24:32,600 Speaker 1: Trump Junior was involved instead of Hunter Biden, then Donald 374 00:24:32,640 --> 00:24:34,440 Speaker 1: Trump would have won the election. And we don't even 375 00:24:34,480 --> 00:24:36,199 Speaker 1: need to get into anything else. We don't even know 376 00:24:36,240 --> 00:24:39,800 Speaker 1: worry about mail in ballots or harvesting of absentee ballots, 377 00:24:39,880 --> 00:24:43,159 Speaker 1: none of that matters. I think Donald Trump would have 378 00:24:43,359 --> 00:24:46,880 Speaker 1: won just just if that story had been covered as 379 00:24:46,880 --> 00:24:49,359 Speaker 1: it should have been, as he said, sixty Minutes should 380 00:24:49,400 --> 00:24:52,480 Speaker 1: have covered it. So the important part about why we 381 00:24:52,600 --> 00:24:56,399 Speaker 1: need primetime hearings is because there will be evidence that 382 00:24:56,560 --> 00:25:01,080 Speaker 1: is gathered that is clear and transparent and everybody can 383 00:25:01,119 --> 00:25:05,560 Speaker 1: see it of criminal behavior. And then in twenty twenty four, 384 00:25:06,560 --> 00:25:10,159 Speaker 1: if Republicans win the White House and we get a 385 00:25:10,240 --> 00:25:14,480 Speaker 1: new Attorney general, those prosecutions can occur. People say, Okay, 386 00:25:14,600 --> 00:25:18,520 Speaker 1: why do we need prosecutions. What's the significance of criminal 387 00:25:18,600 --> 00:25:23,920 Speaker 1: charges being brought? Well, got to scare people and let 388 00:25:23,960 --> 00:25:27,440 Speaker 1: them know that the law applies inside of these big 389 00:25:27,480 --> 00:25:33,720 Speaker 1: tech companies. Because remember, all the optics we're getting is Twitter, Facebook, 390 00:25:34,359 --> 00:25:42,639 Speaker 1: no consequences, Instagram, no consequences, Google, no consequences, YouTube, no consequences. 391 00:25:43,400 --> 00:25:47,840 Speaker 1: You've got to make these people, far left wing rig 392 00:25:47,920 --> 00:25:53,720 Speaker 1: job enthusiasts inside of these big tech companies understand that 393 00:25:53,760 --> 00:25:56,920 Speaker 1: they are breaking the law and that more importantly, they're 394 00:25:56,960 --> 00:25:58,680 Speaker 1: not going to get to get out of jail free 395 00:25:58,720 --> 00:26:01,640 Speaker 1: card because they're breaking the law in favor of Democrats 396 00:26:01,680 --> 00:26:05,159 Speaker 1: and helping them win elections. You've got to put the 397 00:26:05,320 --> 00:26:09,520 Speaker 1: fear in them to scare them straight. Remember back in 398 00:26:09,560 --> 00:26:12,159 Speaker 1: the day, I don't know if they still do this. 399 00:26:12,560 --> 00:26:14,879 Speaker 1: You remember, back in the day, they would sometimes bring 400 00:26:15,520 --> 00:26:20,040 Speaker 1: prisoners into schools to talk to kids that were misbehaving. 401 00:26:20,600 --> 00:26:24,040 Speaker 1: This used to be a big thing where the idea was, 402 00:26:24,240 --> 00:26:27,360 Speaker 1: hey kid, you're on a path where if you don't 403 00:26:27,440 --> 00:26:30,439 Speaker 1: change your behavior, you're gonna end up in prison like 404 00:26:30,680 --> 00:26:32,920 Speaker 1: I am, and let tell you this is what a 405 00:26:33,000 --> 00:26:35,959 Speaker 1: prisoner speaking. Let me tell you what you're ready for. 406 00:26:36,680 --> 00:26:38,560 Speaker 1: And I mean, I don't think they would allow this 407 00:26:38,600 --> 00:26:40,520 Speaker 1: to happen anymore because the words were kind of mean, 408 00:26:40,880 --> 00:26:42,399 Speaker 1: and a lot of times the kids would end up 409 00:26:42,440 --> 00:26:44,760 Speaker 1: crying because you're like, hey, kid, you want to know 410 00:26:44,760 --> 00:26:47,359 Speaker 1: what it's like, go take a shower in a prison. 411 00:26:47,800 --> 00:26:50,520 Speaker 1: Here's what you got coming for you, kid, And the 412 00:26:50,560 --> 00:26:52,280 Speaker 1: kids would be like, oh my god. Like I mean, 413 00:26:52,720 --> 00:26:55,800 Speaker 1: end that concept was we're going to scare you straight, 414 00:26:55,960 --> 00:26:58,919 Speaker 1: on the straight and narrow so you don't grow up 415 00:26:58,960 --> 00:27:01,640 Speaker 1: and commit crimes. Well, there's crimes being committed all over 416 00:27:01,680 --> 00:27:05,240 Speaker 1: big tech right now. This is a reality, and a 417 00:27:05,240 --> 00:27:08,040 Speaker 1: ton of these executives who are doing exactly what Twitter 418 00:27:08,080 --> 00:27:10,680 Speaker 1: executives are doing, they have no fear because they know 419 00:27:10,880 --> 00:27:12,919 Speaker 1: the game is rigged in their favor. They know that 420 00:27:13,000 --> 00:27:15,520 Speaker 1: Merrick Garland, if you stand up at a school board 421 00:27:15,560 --> 00:27:17,879 Speaker 1: meeting like I did and say, hey, there's no evidence 422 00:27:17,920 --> 00:27:21,239 Speaker 1: to support kids wearing masks, and then people get fired up. 423 00:27:21,520 --> 00:27:24,520 Speaker 1: Merrek Garland and Joe Biden are going to investigate you 424 00:27:24,800 --> 00:27:27,480 Speaker 1: for going to speak at your kids' school board. But 425 00:27:27,560 --> 00:27:32,040 Speaker 1: if you've got the biggest rig job in American democratic history, 426 00:27:32,200 --> 00:27:38,320 Speaker 1: and you have the straight up evidence, not just circumstantial evidence, 427 00:27:38,640 --> 00:27:42,760 Speaker 1: these smoking gun evidence, they're not going to do anything. 428 00:27:43,760 --> 00:27:46,480 Speaker 1: But fortunately we have the House and we need to 429 00:27:46,480 --> 00:27:50,040 Speaker 1: have primetime hearings to demonstrate what the evidence is to 430 00:27:50,200 --> 00:27:53,560 Speaker 1: somewhat force the old school media that is inca hoots 431 00:27:53,600 --> 00:27:58,840 Speaker 1: with the Biden administration to cover this story and slowly 432 00:27:58,920 --> 00:28:02,560 Speaker 1: break through so that independence out there realize what's going on. 433 00:28:02,680 --> 00:28:04,760 Speaker 1: And again, if you're out there and I'm one of 434 00:28:04,800 --> 00:28:07,520 Speaker 1: these people and you're just looking around, you're like, man, 435 00:28:07,560 --> 00:28:10,680 Speaker 1: the country went insane. Just a few years ago, it 436 00:28:10,720 --> 00:28:13,160 Speaker 1: felt like everything was kind of rolling along. People were 437 00:28:13,200 --> 00:28:16,600 Speaker 1: getting along. You might not have loved every politician, but 438 00:28:16,760 --> 00:28:19,760 Speaker 1: you know, black, white, Asian, Hispanic people kind of liked 439 00:28:19,800 --> 00:28:23,320 Speaker 1: each other. And then all of a sudden, starting in 440 00:28:23,359 --> 00:28:28,040 Speaker 1: around two thousand and nine two ten, right as the 441 00:28:28,119 --> 00:28:34,760 Speaker 1: social media platforms began to rig everything, everything changed. Everybody's 442 00:28:34,800 --> 00:28:38,080 Speaker 1: at everybody's throats, identity, politics took off. The Democrat Party 443 00:28:38,320 --> 00:28:42,600 Speaker 1: frankly went completely and totally insane. And you're wondering how 444 00:28:42,720 --> 00:28:46,680 Speaker 1: that happened here the receipts. It happened because Big Tech 445 00:28:47,000 --> 00:28:51,520 Speaker 1: went and decided they were a propaganda arm. They were 446 00:28:51,560 --> 00:28:54,120 Speaker 1: effectively a part of the DNC, and there need to 447 00:28:54,120 --> 00:28:56,000 Speaker 1: be consequences. All right, might take some of your calls 448 00:28:56,000 --> 00:28:57,480 Speaker 1: when I come back to close out the hour. We 449 00:28:57,520 --> 00:28:59,600 Speaker 1: still got a lot of stories to get into. Kursten 450 00:28:59,680 --> 00:29:02,760 Speaker 1: seem flipping independent? What does it mean? Brittany Grinder's back 451 00:29:02,800 --> 00:29:05,600 Speaker 1: in Texas? What actually happened? And I got a thesis 452 00:29:05,680 --> 00:29:07,240 Speaker 1: for you that I wanted to I think it might 453 00:29:07,240 --> 00:29:09,400 Speaker 1: blow your mind, or at least might make you think 454 00:29:09,640 --> 00:29:12,360 Speaker 1: I'll take one or the other Washington Post in New 455 00:29:12,440 --> 00:29:17,840 Speaker 1: York Times, why are they so dishonest? I've got an 456 00:29:17,880 --> 00:29:20,800 Speaker 1: idea that I think will make a lot of sense 457 00:29:21,040 --> 00:29:24,160 Speaker 1: for you about exactly where that dishonesty is coming from. 458 00:29:25,040 --> 00:29:26,840 Speaker 1: But first I want to tell you all about my 459 00:29:26,880 --> 00:29:31,080 Speaker 1: friends who are right now at stamps dot com. You 460 00:29:31,120 --> 00:29:34,040 Speaker 1: know I was out Wednesday. You know where I was wednesday, 461 00:29:34,200 --> 00:29:37,600 Speaker 1: trying to get passports for the kids. And you have 462 00:29:37,640 --> 00:29:39,800 Speaker 1: to both be present to go get passports for the 463 00:29:39,880 --> 00:29:41,680 Speaker 1: kids because they don't want one parent to get a 464 00:29:41,680 --> 00:29:44,520 Speaker 1: passport and run out of the country. So I was 465 00:29:44,520 --> 00:29:46,560 Speaker 1: there with my wife. We're getting passports for our young kids. 466 00:29:46,560 --> 00:29:48,640 Speaker 1: That's why I was out of the show. And their 467 00:29:48,640 --> 00:29:50,920 Speaker 1: passports are all expiring. We want to be able to 468 00:29:51,000 --> 00:29:54,600 Speaker 1: leave the country. Crowd was crazy at the post office. 469 00:29:55,040 --> 00:29:59,240 Speaker 1: I couldn't believe how many people were there. Everybody's trying 470 00:29:59,240 --> 00:30:01,760 Speaker 1: to ship. And if you right now are trying to 471 00:30:01,800 --> 00:30:04,440 Speaker 1: send a gift somewhere, you know what I'm talking about. Heck, 472 00:30:04,480 --> 00:30:06,800 Speaker 1: you might be out and about right now with packages 473 00:30:06,880 --> 00:30:08,719 Speaker 1: in your car that you're trying to ship to your 474 00:30:08,720 --> 00:30:10,440 Speaker 1: friends and family, and you know you're going to be 475 00:30:10,480 --> 00:30:12,440 Speaker 1: in line for a while because it's the holiday season. 476 00:30:13,120 --> 00:30:15,600 Speaker 1: Don't make that decision. How about you just get hooked 477 00:30:15,680 --> 00:30:17,760 Speaker 1: up with stamps dot Com. We've got it here at 478 00:30:17,800 --> 00:30:21,640 Speaker 1: the house. We ship a lot of things that OutKick shirts, books, gear, 479 00:30:21,800 --> 00:30:25,200 Speaker 1: all sorts of things. You can get stamps dot com 480 00:30:25,240 --> 00:30:28,440 Speaker 1: print postage wherever you do business. All you need is 481 00:30:28,480 --> 00:30:32,680 Speaker 1: a computer and a printer packages all of it this 482 00:30:32,720 --> 00:30:36,320 Speaker 1: holiday season. Get started with stamps dot com today. Sign 483 00:30:36,400 --> 00:30:38,200 Speaker 1: up with a promo code Clay and Buck for a 484 00:30:38,280 --> 00:30:42,040 Speaker 1: special offer that includes a four week trial plus free 485 00:30:42,040 --> 00:30:45,280 Speaker 1: postage and a free digital scale. There's no long term 486 00:30:45,280 --> 00:30:48,680 Speaker 1: commitments or contracts to sign. Just go to stamps dot 487 00:30:48,680 --> 00:30:51,000 Speaker 1: com click the microphone at the top of the page. 488 00:30:51,160 --> 00:30:53,800 Speaker 1: Enter the code Clay and Buck that stamps dot Com. 489 00:30:53,800 --> 00:30:56,480 Speaker 1: Click the microphone use that code Clay and Buck. Get 490 00:30:56,520 --> 00:30:59,960 Speaker 1: hooked up today and help yourself avoid the holiday crew. 491 00:31:02,560 --> 00:31:06,280 Speaker 1: Welcome back in Clay, Travis Buck, Sexton show Bucks out 492 00:31:06,320 --> 00:31:09,480 Speaker 1: for the day. I'm rolling solo. He's gonna be on 493 00:31:09,520 --> 00:31:12,760 Speaker 1: the range. Hebe has a good time there. I'm gonna 494 00:31:12,760 --> 00:31:14,320 Speaker 1: take some of your calls here, as I promise you 495 00:31:14,360 --> 00:31:19,440 Speaker 1: that I would. As we are discussing just the monstrous 496 00:31:19,480 --> 00:31:24,520 Speaker 1: revelations that are coming out of the Twitter sort of 497 00:31:25,080 --> 00:31:27,600 Speaker 1: document drop for lack of a better way of describing it, 498 00:31:27,840 --> 00:31:31,160 Speaker 1: the Twitter files this is being called online that are 499 00:31:31,280 --> 00:31:34,120 Speaker 1: demonstrating beyond a shadow of a doubt, the rig job 500 00:31:34,120 --> 00:31:37,640 Speaker 1: that has been effect for far left wing ideals based 501 00:31:37,720 --> 00:31:41,680 Speaker 1: on far left wing activist inside of Twitter. A bunch 502 00:31:41,720 --> 00:31:44,520 Speaker 1: of you want to weigh in, Brian, I believe he's 503 00:31:44,560 --> 00:31:51,320 Speaker 1: a trucker in Kansas. What you got for me? Hey, Clay, 504 00:31:51,400 --> 00:31:54,160 Speaker 1: How are you today? Fantastic appreciate you calling in. What 505 00:31:54,400 --> 00:31:56,880 Speaker 1: do you want to share with us? Well, I had 506 00:31:56,920 --> 00:32:00,200 Speaker 1: a question. I've had it for I don't know twenty years. Uh. 507 00:32:00,360 --> 00:32:05,640 Speaker 1: These old media companies ABC, NBC, CBS, New York Times, 508 00:32:05,680 --> 00:32:09,640 Speaker 1: you can list them all. Where they have to make 509 00:32:09,680 --> 00:32:14,280 Speaker 1: money as a business U and why you know it's 510 00:32:14,400 --> 00:32:17,240 Speaker 1: journalism and and yeah they can have their slamt but 511 00:32:17,320 --> 00:32:20,600 Speaker 1: they still need to get people to watch their shows. 512 00:32:20,640 --> 00:32:23,240 Speaker 1: They need to get people to subscribe to their papers. 513 00:32:23,880 --> 00:32:27,160 Speaker 1: Why is you know journalism used to be after you know, 514 00:32:27,240 --> 00:32:31,480 Speaker 1: some some ambitious journalists wanted to get the scoop, wanted 515 00:32:31,520 --> 00:32:34,760 Speaker 1: to be different, you know, uh Haraldo things like that. 516 00:32:36,080 --> 00:32:41,000 Speaker 1: Why have they just decided to just throw journalism away? 517 00:32:41,120 --> 00:32:44,240 Speaker 1: And you know, wouldn't it be good for somebody on 518 00:32:44,320 --> 00:32:47,560 Speaker 1: ABC to say, hey, we're different, you know, because if 519 00:32:47,600 --> 00:32:50,360 Speaker 1: you watch any of those you're getting the same story. 520 00:32:50,360 --> 00:32:54,360 Speaker 1: Why you know, why why watch ours versus a CBS? 521 00:32:54,400 --> 00:32:57,520 Speaker 1: And uh, just wanting your opinions since you ran a 522 00:32:57,560 --> 00:33:01,320 Speaker 1: media company and we're successful at it. Yeah, Brian, First 523 00:33:01,320 --> 00:33:03,680 Speaker 1: of all, that is a fabulous question, and it's something 524 00:33:03,720 --> 00:33:05,200 Speaker 1: that I'm going to build on because I was going 525 00:33:05,240 --> 00:33:06,880 Speaker 1: to explain this for the Washington Post in the New 526 00:33:06,960 --> 00:33:09,520 Speaker 1: York Times a little bit later in the show. Here's 527 00:33:09,520 --> 00:33:12,840 Speaker 1: what I'll tell you in the meantime. For my own 528 00:33:12,880 --> 00:33:17,280 Speaker 1: experience in sports media, I looked around and I just 529 00:33:17,400 --> 00:33:20,479 Speaker 1: kept saying, I can't believe some of the stories that 530 00:33:20,560 --> 00:33:24,160 Speaker 1: I'm seeing. They are so far left wing and crazy. 531 00:33:24,960 --> 00:33:28,440 Speaker 1: Colin Kaepernick was really an eye opening experience for me 532 00:33:28,640 --> 00:33:33,160 Speaker 1: from a being in sports media perspective. You weren't allowed 533 00:33:33,200 --> 00:33:36,440 Speaker 1: to say anything if you were in sports other than 534 00:33:36,520 --> 00:33:40,440 Speaker 1: Colin Kaepernick is a huge hero. And so as I 535 00:33:40,480 --> 00:33:44,680 Speaker 1: was running out Kick, I didn't set out to be 536 00:33:44,800 --> 00:33:48,400 Speaker 1: the anti woke sports site, but I just kept looking 537 00:33:48,440 --> 00:33:51,440 Speaker 1: around and saying, my goodness, my entire industry has lost 538 00:33:51,440 --> 00:33:55,120 Speaker 1: its mind and they're all fighting. It's a knife fight, 539 00:33:55,240 --> 00:33:59,040 Speaker 1: Brian for the twenty percent or twenty five percent, and 540 00:33:59,040 --> 00:34:02,320 Speaker 1: that might be an exag durration of woke sports fans. 541 00:34:02,880 --> 00:34:05,320 Speaker 1: And I said, I'm going to make sure that OutKick 542 00:34:05,800 --> 00:34:09,680 Speaker 1: is serving the seventy five or eighty percent of normal people, 543 00:34:10,160 --> 00:34:12,759 Speaker 1: Guys who want to come home, pop a beer, watch 544 00:34:12,840 --> 00:34:15,240 Speaker 1: a game, and they don't want to have to worry 545 00:34:15,239 --> 00:34:19,760 Speaker 1: about politics at all. But then politics became so intertwined, 546 00:34:20,160 --> 00:34:22,920 Speaker 1: far left wing politics when you got Colin Kaepernick, and 547 00:34:22,960 --> 00:34:25,120 Speaker 1: then you got Megan Rapino refusing to go to the 548 00:34:25,120 --> 00:34:29,000 Speaker 1: White House, and then certainly COVID where you couldn't even 549 00:34:29,160 --> 00:34:32,160 Speaker 1: play a high school basketball game without every kid wearing 550 00:34:32,160 --> 00:34:36,040 Speaker 1: a mask. And I just felt like everybody was going crazy. 551 00:34:36,080 --> 00:34:39,720 Speaker 1: And that's why this Twitter files ties into a large extent, 552 00:34:40,160 --> 00:34:44,360 Speaker 1: because they were rigging the game. And so many members 553 00:34:44,360 --> 00:34:47,640 Speaker 1: of media. To answer your question, Brian, they take their 554 00:34:47,719 --> 00:34:51,640 Speaker 1: que on what matters based on what's happening on Twitter. 555 00:34:51,920 --> 00:34:55,920 Speaker 1: It is the site for media people, and it is 556 00:34:56,000 --> 00:34:58,879 Speaker 1: so far left wing. I've been saying for a long 557 00:34:58,920 --> 00:35:01,799 Speaker 1: time that Twitter is a on house mirror. Remember carnivals 558 00:35:02,000 --> 00:35:04,160 Speaker 1: you go to and you would stand in front of 559 00:35:04,200 --> 00:35:06,359 Speaker 1: a fun house mirror, and they would make you look 560 00:35:06,400 --> 00:35:09,480 Speaker 1: too tall, or they'd make you look too fat. Can 561 00:35:09,520 --> 00:35:13,280 Speaker 1: you imagine if you adjusted your diet based on standing 562 00:35:13,320 --> 00:35:16,239 Speaker 1: in front of a carnival fun house mirror every day. 563 00:35:17,040 --> 00:35:21,719 Speaker 1: If you did that, eventually you would look ridiculous because 564 00:35:22,120 --> 00:35:26,080 Speaker 1: your version of reality is so warped that you're trying 565 00:35:26,120 --> 00:35:30,040 Speaker 1: to adjust to that warped nature, and it just makes 566 00:35:30,080 --> 00:35:34,359 Speaker 1: things more absurd. That's what happened in our country. And 567 00:35:34,400 --> 00:35:37,040 Speaker 1: I've been making this argument for a long time because 568 00:35:37,080 --> 00:35:40,840 Speaker 1: all the circumstantial evidence was there. I go on Twitter, 569 00:35:40,960 --> 00:35:42,680 Speaker 1: like yesterday, somebody was telling me they want me to 570 00:35:42,719 --> 00:35:46,600 Speaker 1: kill myself, right, I shared that that happens all the time, 571 00:35:46,880 --> 00:35:49,120 Speaker 1: Go kill yourself. I hate you, I hope you die. 572 00:35:49,160 --> 00:35:51,480 Speaker 1: I mean, that's normal on Twitter. And then I go 573 00:35:51,520 --> 00:35:55,000 Speaker 1: out in real life and all I get is super positivity. 574 00:35:55,080 --> 00:35:58,319 Speaker 1: Everybody's really nice and it's not like I'm hiding. I'm 575 00:35:58,360 --> 00:36:00,960 Speaker 1: on the road for big college football games every weekend 576 00:36:01,800 --> 00:36:04,880 Speaker 1: and bars restaurants. All I get is love, people who 577 00:36:04,960 --> 00:36:08,320 Speaker 1: listen to this show, people who actually, you know, watch 578 00:36:08,360 --> 00:36:12,359 Speaker 1: our programming. And I'm thinking to myself. For years, I've 579 00:36:12,360 --> 00:36:15,280 Speaker 1: been thinking, like, what is this reality? This dichotomy between 580 00:36:15,640 --> 00:36:19,400 Speaker 1: go kill yourself? And every time in person people want 581 00:36:19,560 --> 00:36:21,719 Speaker 1: to be you know, get pictures, they tell how much 582 00:36:21,760 --> 00:36:27,120 Speaker 1: they like everything's going on Twitter's not real. And I think, Brian, 583 00:36:27,320 --> 00:36:30,680 Speaker 1: what has happened is so many people out there who 584 00:36:30,719 --> 00:36:34,680 Speaker 1: are executives have given up their judgment and become afraid 585 00:36:34,719 --> 00:36:38,160 Speaker 1: of what is happening on Twitter, and they are artificially 586 00:36:38,239 --> 00:36:42,040 Speaker 1: distorting and reacting to an artificial funhouse mirror, and that 587 00:36:42,280 --> 00:36:45,040 Speaker 1: has helped to lead our country into such insanity. It's 588 00:36:45,080 --> 00:36:47,840 Speaker 1: also given business opportunity. I'll talk about this next and 589 00:36:47,880 --> 00:36:50,160 Speaker 1: explain New York Times Washington Post why they extend