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 --> 00:07:41,480 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 maufe 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 --> 00:14:31,520 Speaker 1: We will love testosterone if you want to feel better, 221 00:14:31,640 --> 00:14:33,680 Speaker 1: you want to have more vim vigor, vitality, if you 222 00:14:33,680 --> 00:14:36,400 Speaker 1: want to get back to feeling like you are on 223 00:14:36,480 --> 00:14:38,760 Speaker 1: top of the world. Testosterone Emon Must said it the 224 00:14:38,840 --> 00:14:41,160 Speaker 1: other day. It's a pretty great thing and we got 225 00:14:41,200 --> 00:14:43,160 Speaker 1: way too little of it in America. Right now, Well, 226 00:14:43,480 --> 00:14:45,000 Speaker 1: you can get hooked up right now if you go 227 00:14:45,000 --> 00:14:47,920 Speaker 1: to our friends at chalk shoq. You can find him 228 00:14:47,960 --> 00:14:51,800 Speaker 1: online right there, that's chalkhq dot com. And right now, 229 00:14:51,800 --> 00:14:54,920 Speaker 1: if you use my name, that's Clay Clay, you can 230 00:14:54,960 --> 00:14:58,480 Speaker 1: get thirty five percent off any chalk subscription for life 231 00:14:58,600 --> 00:15:02,760 Speaker 1: chalk dot com sa choke my name Clay for thirty 232 00:15:02,760 --> 00:15:05,720 Speaker 1: five percent off. You want to have testosterone in your life, 233 00:15:05,840 --> 00:15:07,320 Speaker 1: maybe you want to send it to the Biden White 234 00:15:07,320 --> 00:15:10,120 Speaker 1: House and say, hey, guys, start taking this. Certainly everybody 235 00:15:10,120 --> 00:15:12,320 Speaker 1: who got fired at Twitter Beta Males, they could use 236 00:15:12,320 --> 00:15:16,040 Speaker 1: some testosterone as well. Thirty five percent off for life. 237 00:15:16,160 --> 00:15:20,160 Speaker 1: Put some manhood back in this country with chalk choq 238 00:15:20,360 --> 00:15:27,440 Speaker 1: dot com. My name Clay, Welcome back in Clay of 239 00:15:27,600 --> 00:15:32,240 Speaker 1: this Buck Sexton show. World Cup is going on. I 240 00:15:32,480 --> 00:15:36,840 Speaker 1: should mention and if you're a Brazilian listening right now, 241 00:15:37,360 --> 00:15:43,560 Speaker 1: I'm sorry. The Mighty Croatian team has eliminated the Brazilians, 242 00:15:43,560 --> 00:15:45,640 Speaker 1: who were the favorites to win the World Cup on 243 00:15:45,760 --> 00:15:51,600 Speaker 1: penalty kicks out of nowhere. Congratulations to Croatia, Luca darn 244 00:15:51,680 --> 00:15:56,800 Speaker 1: chick somewhere. I would imagine broad smile on his face. Croatia, 245 00:15:56,880 --> 00:16:01,480 Speaker 1: small country, dominant in sports. There is your World Cup update. 246 00:16:01,920 --> 00:16:06,360 Speaker 1: Monster upset. So Clay Travis, I'm in buck Sexton is 247 00:16:06,440 --> 00:16:08,200 Speaker 1: out for the day. He'll be back on Monday. We'll 248 00:16:08,200 --> 00:16:12,400 Speaker 1: be back together rolling as a duo into the holiday season. 249 00:16:12,480 --> 00:16:15,000 Speaker 1: So he is on the range today and having a 250 00:16:15,000 --> 00:16:18,080 Speaker 1: good time with his brother's family and he'll be back 251 00:16:18,080 --> 00:16:22,400 Speaker 1: on Monday. So just had a great call. If you 252 00:16:22,400 --> 00:16:24,480 Speaker 1: didn't miss if you missed the first hour, I'd encourage 253 00:16:24,480 --> 00:16:28,240 Speaker 1: you to go subscribe the podcast. Talking about the impact 254 00:16:28,440 --> 00:16:33,240 Speaker 1: of the Twitter files the second release, and I believe 255 00:16:33,400 --> 00:16:41,080 Speaker 1: that Elon Musk is essentially providing concrete data, concrete evidence 256 00:16:41,760 --> 00:16:48,000 Speaker 1: of crimes that have been committed executives. And I still 257 00:16:48,000 --> 00:16:53,520 Speaker 1: think this is massively important FBI officials who have conspired 258 00:16:53,640 --> 00:16:58,480 Speaker 1: alongside of Twitter, and maybe possibly the Biden administration as well, 259 00:16:58,520 --> 00:17:01,360 Speaker 1: because remember it wasn't very long ago that the Biden 260 00:17:01,400 --> 00:17:05,400 Speaker 1: administration felt so confident in their control over big tech. 261 00:17:05,760 --> 00:17:08,280 Speaker 1: We talked about it on this show that Jensaki had 262 00:17:08,320 --> 00:17:11,640 Speaker 1: a White House briefing, bragged about the fact that they 263 00:17:11,640 --> 00:17:15,200 Speaker 1: were regularly flagging information that they wanted to be censored 264 00:17:15,240 --> 00:17:17,200 Speaker 1: by the big tech companies and sharing it with him. 265 00:17:17,240 --> 00:17:20,560 Speaker 1: And remember we had Alex Berenson on to discuss that. 266 00:17:20,640 --> 00:17:24,840 Speaker 1: In particular, Elon Musk so far has not released any 267 00:17:24,960 --> 00:17:29,200 Speaker 1: real information about the Biden administration. We've only heard about 268 00:17:29,200 --> 00:17:33,159 Speaker 1: the Biden campaign. Since Biden got into the White House, 269 00:17:33,640 --> 00:17:38,800 Speaker 1: that relationship with Twitter has gotten even more I would 270 00:17:38,840 --> 00:17:43,919 Speaker 1: imagine extensive, commingled and collusive than it was when he 271 00:17:44,000 --> 00:17:48,200 Speaker 1: was a candidate for office. So those revelations are still 272 00:17:48,240 --> 00:17:50,800 Speaker 1: to come. But Brian instruct driver out in Kansas call 273 00:17:50,880 --> 00:17:52,280 Speaker 1: he took to in the hour. He asked a really 274 00:17:52,320 --> 00:17:54,960 Speaker 1: good question and actually he's a perfect segue for what 275 00:17:55,000 --> 00:17:59,639 Speaker 1: I wanted to talk about. So I'm writing a book presently, 276 00:18:00,000 --> 00:18:03,800 Speaker 1: believe it's gonna be out in September. And the concept 277 00:18:03,880 --> 00:18:06,919 Speaker 1: of the book is how do Republicans win a landslide 278 00:18:06,920 --> 00:18:09,760 Speaker 1: election in twenty twenty four? Because if you've heard me 279 00:18:09,800 --> 00:18:13,200 Speaker 1: talking on this show, I don't want to be up 280 00:18:13,359 --> 00:18:16,520 Speaker 1: at three am waiting to see whether there's gonna be 281 00:18:16,560 --> 00:18:21,480 Speaker 1: a leak in Fulton County in Atlanta, or Hawkey's gonna 282 00:18:21,520 --> 00:18:24,320 Speaker 1: roll in with a bunch of ballots that nobody expected. 283 00:18:24,920 --> 00:18:28,920 Speaker 1: And suddenly Pennsylvania's got the largest mail in tally that's 284 00:18:28,960 --> 00:18:33,840 Speaker 1: ever existed, Arizona voting machines and Maricopa County don't work again. 285 00:18:33,960 --> 00:18:36,120 Speaker 1: I don't want to have to deal with that, right, 286 00:18:36,720 --> 00:18:42,280 Speaker 1: I want a landslide. I want by ten o'clock Eastern time. Basically, 287 00:18:42,800 --> 00:18:44,680 Speaker 1: I want to be well on my way to being 288 00:18:44,760 --> 00:18:48,520 Speaker 1: drunk smoking a cigar. I want to be celebrating. How 289 00:18:48,560 --> 00:18:51,160 Speaker 1: do you get a landslide? Well, one way you get 290 00:18:51,160 --> 00:18:53,720 Speaker 1: a landslide is you guys know I'm a history nerd. 291 00:18:53,760 --> 00:18:55,639 Speaker 1: Buck's a history nerd too. It's one reason we have 292 00:18:55,640 --> 00:19:00,200 Speaker 1: so much fun sometimes nerding out. I'm a media history nerd. 293 00:19:01,080 --> 00:19:02,800 Speaker 1: What I mean by that is when I run an 294 00:19:02,840 --> 00:19:04,880 Speaker 1: out kick. Over the last decade, I've spent a lot 295 00:19:04,880 --> 00:19:09,600 Speaker 1: of time reading about media historically in this country in particular. 296 00:19:10,400 --> 00:19:14,959 Speaker 1: And one of the things that you recognize is how 297 00:19:15,080 --> 00:19:20,880 Speaker 1: business models shifting can alter the way in which media 298 00:19:21,040 --> 00:19:24,480 Speaker 1: consumption occurs. And let me just give you a quick rundown. 299 00:19:25,320 --> 00:19:29,760 Speaker 1: Back in the day, back in the late seventeen hundreds, 300 00:19:29,800 --> 00:19:37,560 Speaker 1: Back in the eighteen hundreds, newspapers were wildly partisan. Newspapers 301 00:19:37,640 --> 00:19:42,280 Speaker 1: defended a political candidate, they would attack another one. You 302 00:19:42,359 --> 00:19:45,560 Speaker 1: think our politics are rough, now go read what they 303 00:19:45,600 --> 00:19:49,720 Speaker 1: said about Andrew Jackson. Go read what they said about 304 00:19:49,760 --> 00:19:54,159 Speaker 1: Abraham Lincoln. Two guys that typically most people say are 305 00:19:54,200 --> 00:19:58,120 Speaker 1: two of the best presidents we've had. They got absolutely 306 00:19:58,160 --> 00:20:05,160 Speaker 1: eviscerated in the media of their age. Dishonest, unfair, incredibly 307 00:20:05,240 --> 00:20:11,160 Speaker 1: partisan attacks because each political party basically had their own 308 00:20:11,240 --> 00:20:16,360 Speaker 1: propaganda piece, their voice. Did something interesting happen? And this 309 00:20:16,440 --> 00:20:18,679 Speaker 1: is where journalists aren't honest when they talk about it. 310 00:20:19,520 --> 00:20:25,920 Speaker 1: Do you know why? Unbiased and bipartisan and straight down 311 00:20:25,920 --> 00:20:28,200 Speaker 1: the middle of the concept of that news came from 312 00:20:29,160 --> 00:20:32,560 Speaker 1: came because think about it, from a business imperative. If 313 00:20:32,600 --> 00:20:35,919 Speaker 1: you were the Whig newspaper back in the day, you 314 00:20:36,040 --> 00:20:39,439 Speaker 1: only got to sell your newspaper to the wigs. And 315 00:20:40,119 --> 00:20:43,679 Speaker 1: what percentage of the wig population out there Whig by 316 00:20:43,720 --> 00:20:46,119 Speaker 1: the way, for you who aren't big time history nerds 317 00:20:46,160 --> 00:20:51,200 Speaker 1: like me, what percentage of the voters could even read 318 00:20:51,280 --> 00:20:57,480 Speaker 1: back then? It's tiny percentage. Right, So the newspaper, purely 319 00:20:57,600 --> 00:21:02,840 Speaker 1: from a business perspective, is essentially a method to deliver 320 00:21:03,040 --> 00:21:09,480 Speaker 1: advertisements to readers, right, advertisements to readers. They don't make 321 00:21:09,560 --> 00:21:13,000 Speaker 1: very much money, typically off direct sales. It's really as 322 00:21:13,520 --> 00:21:18,040 Speaker 1: the business model evolved, an opportunity to put advertisements in 323 00:21:18,080 --> 00:21:22,480 Speaker 1: front of your eyeballs. And it's interesting, if you want 324 00:21:22,480 --> 00:21:26,920 Speaker 1: to know, the most wildly profitable part of newspapers was 325 00:21:26,960 --> 00:21:29,640 Speaker 1: actually the classified ads. So back in the day, if 326 00:21:29,640 --> 00:21:33,639 Speaker 1: you bought like a puppy or a used car, or 327 00:21:34,119 --> 00:21:38,119 Speaker 1: we're trying to find a place to rent that classified ads, 328 00:21:38,520 --> 00:21:42,560 Speaker 1: they charged you by every line, by every word, and 329 00:21:42,960 --> 00:21:46,680 Speaker 1: they made money hand over fist. And then Craigslist came along. 330 00:21:46,720 --> 00:21:49,840 Speaker 1: Then that's the evolution of the business, which I'm going 331 00:21:49,880 --> 00:21:51,680 Speaker 1: to get to in a minute. But The New York 332 00:21:51,680 --> 00:21:54,400 Speaker 1: Times was one of the first newspapers to say, hey, 333 00:21:55,400 --> 00:21:57,800 Speaker 1: all the news that's fit to print, We're going to 334 00:21:57,880 --> 00:22:02,920 Speaker 1: just cover everything from a neutral perspective. We're going And 335 00:22:03,200 --> 00:22:05,560 Speaker 1: then later they were like, oh, journalism is about telling 336 00:22:05,560 --> 00:22:08,119 Speaker 1: the truth and no, no, it was a business imperative 337 00:22:08,520 --> 00:22:12,280 Speaker 1: because suddenly they were able to sell their newspaper to 338 00:22:12,359 --> 00:22:14,960 Speaker 1: everybody in the city, whether you were a wig, whether 339 00:22:14,960 --> 00:22:17,680 Speaker 1: you were a Democrat, whether you were a Republican. Oh, 340 00:22:17,720 --> 00:22:20,520 Speaker 1: this is the newspaper of record in the city. It's 341 00:22:20,800 --> 00:22:25,359 Speaker 1: not partisan, and therefore it speaks to everybody. And then 342 00:22:25,480 --> 00:22:28,840 Speaker 1: what happened. Radio came along. Right, you're listening to me 343 00:22:28,880 --> 00:22:31,240 Speaker 1: on the radio right now. But imagine how revolutionary it 344 00:22:31,240 --> 00:22:32,919 Speaker 1: would have been to listen to me on the radio 345 00:22:33,200 --> 00:22:37,119 Speaker 1: in the nineteen thirties, when suddenly, all over the nation 346 00:22:37,400 --> 00:22:41,080 Speaker 1: we had this popular culture that suddenly emerged where everybody 347 00:22:41,119 --> 00:22:44,040 Speaker 1: could gather around the radio. What do they do with radio? 348 00:22:44,760 --> 00:22:49,040 Speaker 1: Politicians were nervous about people on radio being involved in 349 00:22:49,119 --> 00:22:55,720 Speaker 1: political campaigns, so they basically said, no strong partisanship on 350 00:22:55,760 --> 00:22:58,320 Speaker 1: the radio, because it's government airwaves. They did the same 351 00:22:58,320 --> 00:23:01,720 Speaker 1: thing when they came out with television. Right, the news 352 00:23:01,720 --> 00:23:04,600 Speaker 1: has to be even handed, and that from like nineteen 353 00:23:04,800 --> 00:23:08,920 Speaker 1: thirty to around nineteen eighty five, many of us out 354 00:23:08,960 --> 00:23:13,119 Speaker 1: there in our formative years, we had broad based programming 355 00:23:13,160 --> 00:23:17,600 Speaker 1: designed to appeal to everybody. Right, Cosby Show. Everybody would 356 00:23:17,640 --> 00:23:19,960 Speaker 1: sit around and watch The Cosby Show. And if you 357 00:23:20,040 --> 00:23:22,400 Speaker 1: were six years old or you were eighty year olds, 358 00:23:22,560 --> 00:23:25,920 Speaker 1: you'd watch sitcoms. Right, who's the boss, Growing Pains, whatever 359 00:23:25,960 --> 00:23:28,320 Speaker 1: you grew up, full House, whatever you grew up watching. 360 00:23:29,160 --> 00:23:34,240 Speaker 1: That was universal appeal. Then cable came along and it 361 00:23:34,320 --> 00:23:38,600 Speaker 1: started to create niches. Well, Fox News is recognizing, well, 362 00:23:38,600 --> 00:23:41,280 Speaker 1: we don't have the hall. I mean, look, Fox News 363 00:23:41,320 --> 00:23:45,920 Speaker 1: is dominating MSNBC and CNN, but they have an attitude, right, 364 00:23:46,400 --> 00:23:51,440 Speaker 1: they have a slant. Cable was all about serving niche audiences. 365 00:23:51,760 --> 00:23:55,760 Speaker 1: ESPN Sports, CNN back in the day used to be 366 00:23:55,840 --> 00:23:58,280 Speaker 1: trying to serve everybody. Four News right. If you remember 367 00:23:58,400 --> 00:24:04,040 Speaker 1: early days of cable newspapers, Internet arises mentioned Craigslist starts 368 00:24:04,040 --> 00:24:09,000 Speaker 1: to destroy their business. So what they have, what they 369 00:24:09,080 --> 00:24:13,000 Speaker 1: decided they needed to do was become subscription based models. 370 00:24:13,560 --> 00:24:16,800 Speaker 1: And so Brian's question is a really good one. Why 371 00:24:16,800 --> 00:24:18,960 Speaker 1: are the New York Times and the Washington Post so 372 00:24:19,160 --> 00:24:24,040 Speaker 1: incredibly biased now? Even in past years they were nothing 373 00:24:24,119 --> 00:24:27,080 Speaker 1: like they are now. They were not default wings of 374 00:24:27,119 --> 00:24:32,360 Speaker 1: the Democrat Party. I'll tell you because the business collapsed 375 00:24:32,920 --> 00:24:38,399 Speaker 1: to appeal to large audiences. That circulation business collapsed with 376 00:24:38,480 --> 00:24:43,439 Speaker 1: the Internet, and instead of selling advertisements designed to appeal 377 00:24:43,480 --> 00:24:47,479 Speaker 1: to the largest possible audience, the new business imperative became, 378 00:24:47,840 --> 00:24:52,120 Speaker 1: we have to get subscribers digitally, and if you look 379 00:24:52,119 --> 00:24:55,560 Speaker 1: at the numbers, the New York Times and The Washington 380 00:24:55,600 --> 00:25:01,920 Speaker 1: Post overwhelmingly have left wing subscribers. And here's an analogy 381 00:25:01,960 --> 00:25:03,639 Speaker 1: for you that comes from the world of sports. I 382 00:25:03,640 --> 00:25:05,439 Speaker 1: don't know how many of you are big sports fans, 383 00:25:05,640 --> 00:25:10,400 Speaker 1: the most successful online business for sports so far outside 384 00:25:10,400 --> 00:25:15,200 Speaker 1: of gambling, outside of like fan apparel message boards, individual 385 00:25:15,280 --> 00:25:18,359 Speaker 1: team message boards that cover one team, but they do 386 00:25:18,400 --> 00:25:21,440 Speaker 1: it from a partisan perspective, because if you're an Auburn fan, 387 00:25:21,560 --> 00:25:24,120 Speaker 1: or you're a Michigan fan, or you're a UCLA fan, 388 00:25:24,240 --> 00:25:27,800 Speaker 1: or whoever you are, you don't want to be buying information, 389 00:25:27,920 --> 00:25:31,080 Speaker 1: paying for it around ten dollars a month, and hearing 390 00:25:31,320 --> 00:25:34,199 Speaker 1: that your team sucks and the other team is awesome 391 00:25:35,280 --> 00:25:39,240 Speaker 1: from the people that you're paying for doesn't get talked 392 00:25:39,240 --> 00:25:43,600 Speaker 1: about enough. But the business imperative for The New York 393 00:25:43,640 --> 00:25:47,879 Speaker 1: Times and The Washington Post, because they now are a 394 00:25:47,960 --> 00:25:54,359 Speaker 1: subscriber based newspaper, demands that they effectively cover their side 395 00:25:54,359 --> 00:25:56,400 Speaker 1: as the good guys, just like they do on these 396 00:25:56,400 --> 00:25:59,520 Speaker 1: sports message boards, and the other side is the bad guy. 397 00:26:00,200 --> 00:26:03,199 Speaker 1: They aren't in the business. Literally, they are not in 398 00:26:03,240 --> 00:26:07,159 Speaker 1: the business anymore of telling you the truth. They're in 399 00:26:07,200 --> 00:26:11,560 Speaker 1: the business of telling left wingers what they want to hear. 400 00:26:12,480 --> 00:26:16,199 Speaker 1: And this is why even on the editorial page, remember 401 00:26:16,320 --> 00:26:20,120 Speaker 1: the blow up when Tom Cotton, Senator from Arkansas wrote 402 00:26:20,119 --> 00:26:22,520 Speaker 1: an editorial and said, hey, we should call out the 403 00:26:22,640 --> 00:26:25,400 Speaker 1: National Guard to quell all these riots that are going on. 404 00:26:26,160 --> 00:26:30,560 Speaker 1: They fired the editorial page head for allowing that opinion 405 00:26:30,560 --> 00:26:34,280 Speaker 1: to be shared in New York Times. It wasn't acceptable 406 00:26:34,600 --> 00:26:38,200 Speaker 1: to have a divergent opinion. Barry Weiss, who's breaking down 407 00:26:38,240 --> 00:26:41,960 Speaker 1: all these stories. Now, for Emlon Musk, they effectively kicked 408 00:26:41,960 --> 00:26:45,280 Speaker 1: her out of The New York Times because her opinions 409 00:26:45,520 --> 00:26:50,520 Speaker 1: were not left wing enough. And the challenge here, and 410 00:26:50,560 --> 00:26:53,120 Speaker 1: I want all of you think about this, is it 411 00:26:53,160 --> 00:26:57,840 Speaker 1: becomes a self fulfilling cycle because if your business is 412 00:26:57,960 --> 00:27:04,120 Speaker 1: based on left wingers being happy, it keeps driving you 413 00:27:04,280 --> 00:27:08,359 Speaker 1: more left wing because that's how you sign up more subscribers. 414 00:27:09,440 --> 00:27:12,639 Speaker 1: So if you're wondering why isn't the New York Times 415 00:27:12,760 --> 00:27:17,040 Speaker 1: or the Washington Post even covering these Twitter releases, it's 416 00:27:17,080 --> 00:27:23,000 Speaker 1: because that upsets their base, that upsets and destroys potentially 417 00:27:23,040 --> 00:27:26,760 Speaker 1: their business. And this is the story that I've been 418 00:27:26,760 --> 00:27:28,400 Speaker 1: telling you for a while, but I think it's such 419 00:27:28,440 --> 00:27:32,359 Speaker 1: an interesting way to look at it. Did the New 420 00:27:32,440 --> 00:27:35,960 Speaker 1: York Times or the Washington Post ever make a mistake 421 00:27:36,320 --> 00:27:40,879 Speaker 1: on Donald Trump that made him sound better than he was? 422 00:27:42,800 --> 00:27:45,479 Speaker 1: Did they ever have a story like, hey, Donald Trump 423 00:27:45,600 --> 00:27:47,920 Speaker 1: was out walking along the Potomac River and he saw 424 00:27:48,040 --> 00:27:50,159 Speaker 1: five puppies that have been thrown into the river, and 425 00:27:50,200 --> 00:27:52,800 Speaker 1: he waited out and he saved them. And then it 426 00:27:52,880 --> 00:27:57,960 Speaker 1: later comes out that it's not true. Every single story 427 00:27:58,000 --> 00:28:02,080 Speaker 1: that was proven to be untrue about Donald Trump was negative. 428 00:28:02,480 --> 00:28:07,280 Speaker 1: If you were just incompetent in your reporting, sometimes you 429 00:28:07,320 --> 00:28:10,920 Speaker 1: would report things that are positive that ended up being 430 00:28:10,960 --> 00:28:16,919 Speaker 1: incorrect too. Because nobody's perfect, Every inaccurate article had the 431 00:28:16,960 --> 00:28:20,200 Speaker 1: same slant. It was biased against Trump. That's not an accident. 432 00:28:21,240 --> 00:28:25,560 Speaker 1: It's a business imperative. And I don't think enough people 433 00:28:25,600 --> 00:28:28,600 Speaker 1: who are Republicans have realized this. This is why I 434 00:28:28,600 --> 00:28:31,080 Speaker 1: get frustrated when people are like, oh, I wonder what 435 00:28:31,119 --> 00:28:33,160 Speaker 1: the New York Times are gonna say. The mint Romney's 436 00:28:33,160 --> 00:28:36,480 Speaker 1: and the Republican Party, they're never going to say anything 437 00:28:36,560 --> 00:28:41,040 Speaker 1: nice about you. You could be Jesus incarnate and if 438 00:28:41,040 --> 00:28:44,560 Speaker 1: you were a Republican, the New York Times would find 439 00:28:44,720 --> 00:28:49,520 Speaker 1: fault with you, they would ridicule you, because that's the 440 00:28:49,600 --> 00:28:53,720 Speaker 1: business they're in. So that's a roundabout answer to Brian 441 00:28:53,800 --> 00:28:57,720 Speaker 1: from Kansas's question why is the market this way? Because, 442 00:28:57,760 --> 00:29:01,160 Speaker 1: in particular the New York Times the Washington Post aren't 443 00:29:01,160 --> 00:29:04,880 Speaker 1: in the business of journalism. They're in the business of propaganda, 444 00:29:05,000 --> 00:29:08,440 Speaker 1: of telling their left wing subscribers what they want to know. 445 00:29:08,880 --> 00:29:12,080 Speaker 1: Donald Trump is hitler, you are right, you are good, 446 00:29:12,960 --> 00:29:16,160 Speaker 1: and everyone who disagrees with you is a Nazi. That's 447 00:29:16,160 --> 00:29:20,840 Speaker 1: their business, it really is. Now, what about ABC, CBS, 448 00:29:20,880 --> 00:29:22,959 Speaker 1: and NBC Talk about that in a minute. But by 449 00:29:22,960 --> 00:29:26,320 Speaker 1: the way, that's also the MSNBC and CNN business model 450 00:29:26,840 --> 00:29:28,920 Speaker 1: to a lesser degree. But I'll tell you about the 451 00:29:28,960 --> 00:29:31,440 Speaker 1: big broadcast networks when we come back. But first, only 452 00:29:31,440 --> 00:29:33,680 Speaker 1: a few days left. Order the Tuttle Twins books before 453 00:29:33,720 --> 00:29:36,280 Speaker 1: the shipping deadline if you want to have them before Christmas, 454 00:29:36,280 --> 00:29:39,080 Speaker 1: just two weekends away. Books that do so much more 455 00:29:39,120 --> 00:29:42,200 Speaker 1: than entertain kids with great reading material. They open up 456 00:29:42,240 --> 00:29:44,760 Speaker 1: interesting discussions. My own kids have got him in the house. 457 00:29:44,840 --> 00:29:46,680 Speaker 1: My eight year old who's like, dad, this is a 458 00:29:46,680 --> 00:29:48,920 Speaker 1: really interesting book. I said, yeah, of course, Nash do 459 00:29:48,960 --> 00:29:51,680 Speaker 1: you think I would lead you astray. Well, he's not 460 00:29:51,720 --> 00:29:54,160 Speaker 1: necessarily convinced that Dad always gives him the books that 461 00:29:54,200 --> 00:29:57,440 Speaker 1: he should be reading. But he's impressed and he likes him. 462 00:29:57,560 --> 00:29:59,800 Speaker 1: And chances are your kids, your grandkids, your nieces, your 463 00:30:00,520 --> 00:30:04,480 Speaker 1: the kids in your family and friendship circles will also 464 00:30:04,600 --> 00:30:06,600 Speaker 1: like them, especially if you're looking for a gift that 465 00:30:06,680 --> 00:30:09,880 Speaker 1: actually entertains and educates at the same time. You can 466 00:30:09,920 --> 00:30:12,040 Speaker 1: go to Tuttle radio dot com right now to get 467 00:30:12,080 --> 00:30:14,520 Speaker 1: these life changing books for all the kids in your life. 468 00:30:14,560 --> 00:30:16,959 Speaker 1: You need to get your order in soon, though, because 469 00:30:17,000 --> 00:30:19,640 Speaker 1: you need to beat the holiday shipping deadline Tuttle radio 470 00:30:19,720 --> 00:30:23,000 Speaker 1: dot com. If you haven't already been great gift idea, Hey, 471 00:30:23,040 --> 00:30:25,120 Speaker 1: it's December ninth. I know there's a lot of guys 472 00:30:25,160 --> 00:30:27,680 Speaker 1: out there because I'm one of them. You're looking around, 473 00:30:27,680 --> 00:30:29,680 Speaker 1: You're like, wait a minute's almost Christmas. Women in your 474 00:30:29,720 --> 00:30:32,200 Speaker 1: lives they've been planning for Christmas buying gifts since October. 475 00:30:32,200 --> 00:30:34,080 Speaker 1: You're looking around, You have no idea what you're doing. 476 00:30:34,240 --> 00:30:37,200 Speaker 1: Surprise your family. Make it. Move to Tuttle radio dot 477 00:30:37,240 --> 00:30:44,320 Speaker 1: com Today Welcome back in Clay Travis buck Sexton Show, 478 00:30:44,400 --> 00:30:47,040 Speaker 1: Final hour of the week. Appreciate all of you hanging 479 00:30:47,040 --> 00:30:50,720 Speaker 1: out with us. Encourage you to go subscribe to the podcast. 480 00:30:50,760 --> 00:30:53,280 Speaker 1: As we come up on the holidays, you don't know. 481 00:30:53,400 --> 00:30:56,320 Speaker 1: Maybe where you're gonna be for Christmas, it's gonna be friends, family, 482 00:30:56,360 --> 00:30:57,800 Speaker 1: Maybe you need a little bit of an escape. It 483 00:30:57,840 --> 00:31:01,040 Speaker 1: can be a bit overwhelming. Boom Clay and Buck podcast 484 00:31:01,080 --> 00:31:05,160 Speaker 1: plus our special Sunday edition if you're super busy and 485 00:31:05,200 --> 00:31:06,880 Speaker 1: you just want to kind of get an overview of 486 00:31:06,960 --> 00:31:10,360 Speaker 1: some of the topics that we've discussed fun hangout discussion, 487 00:31:10,840 --> 00:31:15,320 Speaker 1: you can dive into that show as well. And also 488 00:31:16,000 --> 00:31:18,040 Speaker 1: looking at you right now, the Clay and Buck VIP 489 00:31:18,200 --> 00:31:22,640 Speaker 1: subscribers emails continue to pour in. Really impressed with the 490 00:31:22,720 --> 00:31:25,560 Speaker 1: quality of the email. You can watch a video version 491 00:31:25,680 --> 00:31:29,200 Speaker 1: of the show. You can reach out directly to the program, 492 00:31:29,480 --> 00:31:31,960 Speaker 1: have access to lots of VIP specials. Clay and Buck 493 00:31:32,040 --> 00:31:36,560 Speaker 1: dot com Boom, you can hook up everything there. All right, 494 00:31:37,360 --> 00:31:39,240 Speaker 1: we are talking about a lot of different topics out there. 495 00:31:39,920 --> 00:31:44,440 Speaker 1: Twitter files, second version of these files dropping started off 496 00:31:44,440 --> 00:31:46,880 Speaker 1: the show talking about them. I'll continue to discuss why 497 00:31:46,880 --> 00:31:50,080 Speaker 1: that matters. Kursten Cinema has flipped to an independent What 498 00:31:50,080 --> 00:31:52,760 Speaker 1: does that mean about what might Joe Mansion might decide 499 00:31:52,800 --> 00:31:56,240 Speaker 1: to do as well, giving a body blow and some 500 00:31:56,320 --> 00:31:59,720 Speaker 1: degree to the idea that Joe Biden has a majority 501 00:31:59,800 --> 00:32:01,920 Speaker 1: in the Senate. Britney Griner, I'll talk a little bit 502 00:32:01,920 --> 00:32:05,240 Speaker 1: more about this. She has returned to Texas. We've left 503 00:32:05,280 --> 00:32:09,520 Speaker 1: Paul we Wayland the Marine behind, and we've been talking 504 00:32:09,520 --> 00:32:12,760 Speaker 1: about bias in the media that is uncovered based on 505 00:32:12,880 --> 00:32:16,600 Speaker 1: the censorship and the significance of that censorship. You might 506 00:32:16,600 --> 00:32:18,800 Speaker 1: have seen me last night talking with Sean Hannity on 507 00:32:18,840 --> 00:32:21,680 Speaker 1: his Fox News show Fired Up about it, alongside of 508 00:32:21,680 --> 00:32:25,520 Speaker 1: Stephen Miller. I am arguing that we need primetime hearings 509 00:32:25,560 --> 00:32:28,400 Speaker 1: that could eventually lead to criminal charges, and we have 510 00:32:28,440 --> 00:32:33,120 Speaker 1: a new head of the Department of Justice. But the lies. 511 00:32:34,400 --> 00:32:39,680 Speaker 1: It's important to note how often you and me and 512 00:32:39,800 --> 00:32:44,680 Speaker 1: many of us out there are labeled conspiracy theorist, right 513 00:32:44,760 --> 00:32:48,440 Speaker 1: wing conspiracy theorist. Do you remember it wasn't very long 514 00:32:48,480 --> 00:32:53,479 Speaker 1: ago when the USA Today in an editorial called me 515 00:32:53,960 --> 00:32:57,840 Speaker 1: a right wing extremist. Do you know why they called 516 00:32:57,840 --> 00:33:02,640 Speaker 1: me a right wing extremist? Because I questioned and covered 517 00:33:02,680 --> 00:33:06,360 Speaker 1: aggressively the allegation that there had been a racial slur 518 00:33:06,600 --> 00:33:12,240 Speaker 1: hurled at a BYU volleyball match against a duke female player. 519 00:33:12,800 --> 00:33:15,720 Speaker 1: It was one hundred percent of why it was a 520 00:33:15,840 --> 00:33:22,000 Speaker 1: made up racism hoax. Like Jesse Smollett. They called me 521 00:33:22,360 --> 00:33:27,720 Speaker 1: a right wing extremist for simply reporting the truth through 522 00:33:27,840 --> 00:33:32,200 Speaker 1: OutKick and on these airwaves and speaking honestly with all 523 00:33:32,240 --> 00:33:36,120 Speaker 1: of you. Emails rolling in about a lot of the 524 00:33:36,160 --> 00:33:40,920 Speaker 1: topics that we have discussed so far today, and Al 525 00:33:41,280 --> 00:33:44,520 Speaker 1: sends I think it was Al hold on, let me 526 00:33:44,520 --> 00:33:48,720 Speaker 1: make sure no. Mike. Al also sent a I'll read 527 00:33:48,800 --> 00:33:51,920 Speaker 1: his too. Al said, interesting discussion on the New York Times. 528 00:33:52,240 --> 00:33:55,680 Speaker 1: Where does a true journalist go to seek employment these days? 529 00:33:56,000 --> 00:33:59,600 Speaker 1: The New York Times is not practicing true journalism. It's 530 00:33:59,640 --> 00:34:03,400 Speaker 1: a great question. Let's say that you are a kid 531 00:34:03,440 --> 00:34:06,960 Speaker 1: out there today and you're listening to me, and you 532 00:34:07,000 --> 00:34:10,400 Speaker 1: are sixteen or seventeen years old, maybe you're nineteen or 533 00:34:10,400 --> 00:34:16,400 Speaker 1: twenty in majoring in journalism in a college. Side note, 534 00:34:16,560 --> 00:34:19,920 Speaker 1: you don't really need a major in journalism. I'm just 535 00:34:19,960 --> 00:34:21,839 Speaker 1: gonna put it out there. I mean, this is not 536 00:34:22,880 --> 00:34:27,920 Speaker 1: electrical engineering, right, It's not that hard to figure out journalism. 537 00:34:27,960 --> 00:34:30,920 Speaker 1: I've never had a journalism course in my entire life. 538 00:34:31,360 --> 00:34:34,880 Speaker 1: And I found it and ran one of the biggest 539 00:34:35,120 --> 00:34:38,840 Speaker 1: sports media companies on the Internet, and we're pretty good 540 00:34:38,880 --> 00:34:42,080 Speaker 1: at getting the truth out there thanks to the staff 541 00:34:42,120 --> 00:34:45,440 Speaker 1: that we have put together. But I don't think anybody 542 00:34:45,440 --> 00:34:48,440 Speaker 1: that works at OutKick majored in journalism. It's just not 543 00:34:48,520 --> 00:34:52,520 Speaker 1: that complicated of a major major in something else. Focus 544 00:34:52,560 --> 00:34:57,200 Speaker 1: on being able to write well, being able to speak well, 545 00:34:57,560 --> 00:35:02,080 Speaker 1: being able to communicate efficiently, af actively. Those are important 546 00:35:02,840 --> 00:35:06,680 Speaker 1: tools to have, but the actual journalism degree isn't that great. 547 00:35:07,120 --> 00:35:10,319 Speaker 1: You know, I would say, go to Fox News. I mean, 548 00:35:10,400 --> 00:35:16,400 Speaker 1: I am fortunate that I work at Fox now, and 549 00:35:16,920 --> 00:35:23,399 Speaker 1: in my entire life as a media personality, no one 550 00:35:23,560 --> 00:35:29,360 Speaker 1: has ever told me you can't talk about this. Never happened, 551 00:35:30,080 --> 00:35:33,080 Speaker 1: and I'm not kidding with any of you now, I'm 552 00:35:33,120 --> 00:35:35,400 Speaker 1: not sure I would listen anyway, And maybe they recognize 553 00:35:35,440 --> 00:35:37,839 Speaker 1: that they don't want to try to create a stir 554 00:35:38,000 --> 00:35:40,400 Speaker 1: by telling me what to and not to talk about. 555 00:35:40,880 --> 00:35:45,480 Speaker 1: But in my entire career of doing fifteen hours of 556 00:35:45,600 --> 00:35:48,640 Speaker 1: radio for as long as I've been doing it, no 557 00:35:48,680 --> 00:35:50,520 Speaker 1: one has ever told me, Hey, you need to talk 558 00:35:50,520 --> 00:35:53,440 Speaker 1: about this and you can't talk about that. So I'm 559 00:35:53,480 --> 00:35:56,080 Speaker 1: super impressed with the company that Rupert Murdoch has built. 560 00:35:56,440 --> 00:35:59,000 Speaker 1: So I think the New York Post does really good work. 561 00:35:59,040 --> 00:36:02,560 Speaker 1: We do really good work OutKick, we do. I love 562 00:36:02,600 --> 00:36:05,000 Speaker 1: the Wall Street Journal. I think the Wall Street Journal 563 00:36:05,160 --> 00:36:09,360 Speaker 1: is the best newspaper in the world right now, some 564 00:36:09,480 --> 00:36:14,600 Speaker 1: most fearless, most interesting. I would aspire if I were 565 00:36:14,600 --> 00:36:17,239 Speaker 1: a kid right now, seventeen or eighteen years old, and 566 00:36:17,280 --> 00:36:20,360 Speaker 1: I wanted to work in a major news outlet, and 567 00:36:20,440 --> 00:36:23,960 Speaker 1: I wanted it to be a you know, super high end, 568 00:36:24,040 --> 00:36:26,040 Speaker 1: right because look at OutKick every now and then, we're 569 00:36:26,040 --> 00:36:31,640 Speaker 1: gonna have stories about about, you know, Croatian bikini models 570 00:36:31,640 --> 00:36:34,280 Speaker 1: who were big fans of the Croatia team spoiler alert, 571 00:36:34,280 --> 00:36:38,040 Speaker 1: who just beat Brazil. And then we might also analyze 572 00:36:38,080 --> 00:36:40,040 Speaker 1: lies that are going on in the media. But we're 573 00:36:40,040 --> 00:36:43,000 Speaker 1: gonna cover a wide variety, right Like, I don't anticipate 574 00:36:43,000 --> 00:36:46,280 Speaker 1: that I'm gonna open the Wall Street Journal Saturday edition 575 00:36:46,560 --> 00:36:49,040 Speaker 1: and there's gonna be a photo of spread of of 576 00:36:49,080 --> 00:36:52,480 Speaker 1: a you know, hot Croatian bikini model who roots for 577 00:36:52,640 --> 00:36:55,920 Speaker 1: Croatia or dates the striker or whatever it is. We 578 00:36:56,000 --> 00:36:58,439 Speaker 1: might do that at OutKick, So in the New York 579 00:36:58,440 --> 00:37:02,360 Speaker 1: Posts certainly would do it too. I don't think Foxnews 580 00:37:02,360 --> 00:37:04,759 Speaker 1: would do it dot Com, but they probably would look 581 00:37:04,760 --> 00:37:06,200 Speaker 1: at the site traffic and think, for a minute, maybe 582 00:37:06,239 --> 00:37:08,200 Speaker 1: we should do it, because, by the way, everybody clicks 583 00:37:08,200 --> 00:37:10,120 Speaker 1: on those stories and they're fun and they're not serious. 584 00:37:10,200 --> 00:37:12,640 Speaker 1: But if you wanted to be a serious what I've 585 00:37:12,640 --> 00:37:16,239 Speaker 1: always said, a big j journalist, I think the Wall 586 00:37:16,280 --> 00:37:17,920 Speaker 1: Street Journal would be the place that I would that 587 00:37:17,960 --> 00:37:20,360 Speaker 1: I would aspire to work if I were a sixteen 588 00:37:20,400 --> 00:37:22,359 Speaker 1: seventeen year old kid and I wanted to make a 589 00:37:22,400 --> 00:37:25,839 Speaker 1: big difference but I wanted to be honest and transparent. 590 00:37:26,239 --> 00:37:28,000 Speaker 1: I think the Wall Street Journal is the best newspaper 591 00:37:28,000 --> 00:37:31,319 Speaker 1: in America. So that's that answer for Al's question. Mike, 592 00:37:31,400 --> 00:37:34,200 Speaker 1: who I was initially intending to read the email. You 593 00:37:34,360 --> 00:37:37,080 Speaker 1: nicely explain the bias at the New York Times, but 594 00:37:37,200 --> 00:37:41,480 Speaker 1: this doesn't explain why ninety seven percent of publications are liberal. 595 00:37:42,520 --> 00:37:47,719 Speaker 1: Most people who go into journalism are left wing. That's 596 00:37:47,760 --> 00:37:51,399 Speaker 1: the easy answer, Like this idea of oh, I'm I'm 597 00:37:51,440 --> 00:37:56,680 Speaker 1: an unbiased, nonpartisan journal. They all vote Democrat, and there 598 00:37:56,719 --> 00:37:59,080 Speaker 1: are a lot of reasons why that could be the case, 599 00:37:59,200 --> 00:38:02,000 Speaker 1: or at least they tend to vote Democrat. The overall 600 00:38:02,080 --> 00:38:07,719 Speaker 1: cultures of these places are left leaning, and I think, frankly, 601 00:38:08,400 --> 00:38:13,920 Speaker 1: they're afraid of alienating a lot of these big advertisers. 602 00:38:14,480 --> 00:38:18,520 Speaker 1: And the advertising industry, as I told you earlier, I 603 00:38:18,560 --> 00:38:22,600 Speaker 1: think is right now the wokest industry in all of America. 604 00:38:22,719 --> 00:38:25,200 Speaker 1: So if you are trying to make sure that you 605 00:38:25,320 --> 00:38:31,840 Speaker 1: sell an advertising package for Apple or Amazon or Google, 606 00:38:32,800 --> 00:38:36,839 Speaker 1: you have to be buy in large, super woke. I mean, 607 00:38:36,880 --> 00:38:39,239 Speaker 1: just look, I love all the advertisers that we have 608 00:38:39,320 --> 00:38:42,600 Speaker 1: on this program. We don't have a car company that 609 00:38:42,680 --> 00:38:46,640 Speaker 1: advertises on this program nationwide. I mean, just think about 610 00:38:46,640 --> 00:38:49,200 Speaker 1: that for a minute. This is the biggest radio show 611 00:38:49,200 --> 00:38:52,760 Speaker 1: in the country. There are millions of you listening every 612 00:38:52,800 --> 00:38:56,800 Speaker 1: single day, and no car company will advertise on our show. 613 00:38:57,760 --> 00:39:01,279 Speaker 1: You guys all drive cars, right, You guys are all 614 00:39:01,320 --> 00:39:05,200 Speaker 1: out there driving around in cars. They're afraid because the 615 00:39:05,280 --> 00:39:09,839 Speaker 1: advertising industry is so woke to be on our show. Maybe, 616 00:39:09,840 --> 00:39:14,200 Speaker 1: but how crazy that is. No airline advertises on this show. 617 00:39:14,640 --> 00:39:15,840 Speaker 1: A lot of you are going to be getting on 618 00:39:15,840 --> 00:39:20,239 Speaker 1: airplanes flying all over the country for Christmas to go 619 00:39:20,360 --> 00:39:24,080 Speaker 1: visit friends and family. No airline will advertise on this show. 620 00:39:25,320 --> 00:39:30,080 Speaker 1: Why do you go out and shop Walmart? Costco target. 621 00:39:31,040 --> 00:39:36,480 Speaker 1: No convenience store will advertise on this show. Think about 622 00:39:36,480 --> 00:39:40,560 Speaker 1: how crazy that is. Just think for a minute. To 623 00:39:40,640 --> 00:39:46,120 Speaker 1: all advertise on super woke inc. Right, you go listen 624 00:39:46,160 --> 00:39:50,160 Speaker 1: to those shows. All of the big brands will advertise 625 00:39:50,200 --> 00:39:56,200 Speaker 1: on far left wing propaganda podcast. Nobody even listens to 626 00:39:56,320 --> 00:40:01,200 Speaker 1: left wing radio shows buy and large brands fall over 627 00:40:01,239 --> 00:40:02,960 Speaker 1: themselves to spend money there. We just think about it 628 00:40:02,960 --> 00:40:05,360 Speaker 1: for a minute. You may have noticed it. I in 629 00:40:05,520 --> 00:40:11,239 Speaker 1: my entire life have never done a car ad on 630 00:40:11,280 --> 00:40:16,080 Speaker 1: a national show, A car like would you be like, hey, 631 00:40:16,080 --> 00:40:19,960 Speaker 1: you know what industry is super political now? Cars? They 632 00:40:20,000 --> 00:40:24,479 Speaker 1: won't buy ads on the show. So when you say, like, hey, 633 00:40:24,480 --> 00:40:28,680 Speaker 1: why are ABC, NBC and CBS so reflexively left wing 634 00:40:28,719 --> 00:40:31,080 Speaker 1: in their coverage? They won't cover this Twitter stuff, Well, 635 00:40:31,080 --> 00:40:35,080 Speaker 1: they got a lot of rap fours to sell. It's crazy. 636 00:40:36,200 --> 00:40:39,080 Speaker 1: Think about that a car in an airline won't advertise here. 637 00:40:40,000 --> 00:40:45,919 Speaker 1: I don't think we have right now a life insurance company? 638 00:40:46,239 --> 00:40:49,840 Speaker 1: Am I like Black and Iron? Oh? Crazy? Scary that 639 00:40:49,880 --> 00:40:54,920 Speaker 1: a life insurance company won't advertise with us. That again, 640 00:40:55,160 --> 00:40:57,279 Speaker 1: it's not talked about because a lot of people are 641 00:40:57,320 --> 00:41:02,239 Speaker 1: afraid of upsetting advertising companies. But this is crazy. I mean, 642 00:41:02,280 --> 00:41:04,760 Speaker 1: we have the biggest audience in the country on radio, 643 00:41:05,520 --> 00:41:08,160 Speaker 1: and we don't have a car, and we don't have 644 00:41:08,200 --> 00:41:11,720 Speaker 1: a complane, and we don't have a life insurance company. 645 00:41:12,200 --> 00:41:14,799 Speaker 1: I'm talking about national now. Lots of local ads will 646 00:41:14,880 --> 00:41:18,840 Speaker 1: run during the show that maybe for different dealerships for cars, 647 00:41:18,840 --> 00:41:21,520 Speaker 1: for instance, I do some local car dealership ads. I 648 00:41:21,560 --> 00:41:24,920 Speaker 1: appreciate the guys who are willing to put their brands 649 00:41:24,920 --> 00:41:27,600 Speaker 1: with us in all these different local markets. But if 650 00:41:27,600 --> 00:41:30,279 Speaker 1: like you were a truck company, wouldn't you want to 651 00:41:30,320 --> 00:41:33,000 Speaker 1: reach this audience. I mean, it seems like a no 652 00:41:33,040 --> 00:41:36,160 Speaker 1: brainer to me. But they are so reflexively left wing 653 00:41:36,320 --> 00:41:39,439 Speaker 1: in the advertising agencies, and this is one of those 654 00:41:39,480 --> 00:41:44,040 Speaker 1: areas where the woke universe has had an impact. They 655 00:41:44,080 --> 00:41:49,399 Speaker 1: have terrified advertisers that if you appear on a show 656 00:41:49,480 --> 00:41:52,880 Speaker 1: like this that the car company is somehow going to 657 00:41:52,960 --> 00:41:56,040 Speaker 1: be in trouble, even though I mean, again, many of 658 00:41:56,080 --> 00:41:58,680 Speaker 1: you are listening to us in cars right now. And 659 00:41:58,840 --> 00:42:01,360 Speaker 1: I would bet if a car company ever got the 660 00:42:01,400 --> 00:42:03,920 Speaker 1: balls to actually advertise here, I bet we'd sell a 661 00:42:03,920 --> 00:42:09,080 Speaker 1: lot of cars. I don't think Elon Musk advertises Tesla. 662 00:42:09,200 --> 00:42:11,200 Speaker 1: I bet we'd sell a ton of Tesla's on here. 663 00:42:11,960 --> 00:42:13,880 Speaker 1: If Elon Musk was like, Hey, you know what, I'm 664 00:42:13,920 --> 00:42:16,719 Speaker 1: gonna just decide to start advertising with claim Buck, I 665 00:42:16,760 --> 00:42:20,120 Speaker 1: bet we would sell these things hand over fist. You 666 00:42:20,120 --> 00:42:24,279 Speaker 1: guys are a loyal audience, got money to spend. It's 667 00:42:24,320 --> 00:42:26,799 Speaker 1: crazy to me, but that's one of the reasons that's 668 00:42:26,800 --> 00:42:29,680 Speaker 1: at play. Now, let me play this clip and then 669 00:42:29,680 --> 00:42:32,319 Speaker 1: when we come back, I will react to it. This 670 00:42:32,480 --> 00:42:36,800 Speaker 1: is Jack Dorsey, who is the former CEO of Twitter, 671 00:42:38,040 --> 00:42:42,319 Speaker 1: going on with Brian Stelter at CNN and saying a 672 00:42:42,560 --> 00:42:46,319 Speaker 1: one hundred percent lie that Twitter does not discriminate based 673 00:42:46,360 --> 00:42:49,440 Speaker 1: on political opinions. Listen, the President called you out for 674 00:42:49,520 --> 00:42:53,120 Speaker 1: shadow banning. What is the truth around that idea? So 675 00:42:53,400 --> 00:42:55,640 Speaker 1: I think a lot of the statements behind the statement 676 00:42:55,680 --> 00:42:58,160 Speaker 1: and the question behind the question is Look, shadow banning 677 00:42:58,239 --> 00:43:01,680 Speaker 1: is a very widely to find term. There's not one 678 00:43:01,840 --> 00:43:05,799 Speaker 1: signal definition. So definition that we found the teams to 679 00:43:05,880 --> 00:43:09,399 Speaker 1: resonate with the most people is, you know, not amplifying 680 00:43:09,520 --> 00:43:13,280 Speaker 1: particular messages or if someone puts out a tweet, hiding 681 00:43:13,320 --> 00:43:16,800 Speaker 1: that tweet from everyone without that person who tweeted it 682 00:43:16,920 --> 00:43:19,400 Speaker 1: knowing about it. But the real question behind the question 683 00:43:19,520 --> 00:43:24,880 Speaker 1: is are we doing something according to political ideology or viewpoints, 684 00:43:25,000 --> 00:43:28,399 Speaker 1: and we are not. It's all one hundred percent a lie. 685 00:43:28,600 --> 00:43:30,759 Speaker 1: It's now a proven lie based on the documents that 686 00:43:30,800 --> 00:43:34,359 Speaker 1: Eline Musk is releasing. We come back, I'll tell you 687 00:43:34,760 --> 00:43:37,640 Speaker 1: why I think these lies are occurring, and what can 688 00:43:37,680 --> 00:43:40,719 Speaker 1: happen and what the significance is. Also, continue to break 689 00:43:40,760 --> 00:43:42,919 Speaker 1: down all the stories of the day, and we will 690 00:43:42,960 --> 00:43:45,840 Speaker 1: finish off with your calls to close out the Friday 691 00:43:45,960 --> 00:43:48,600 Speaker 1: edition of the program. I appreciate all of you hanging 692 00:43:48,640 --> 00:43:51,480 Speaker 1: out with us, and I want to tell you tired. 693 00:43:51,640 --> 00:43:56,359 Speaker 1: Are you tired of overpaying the woke wireless companies out there? 694 00:43:56,480 --> 00:43:59,160 Speaker 1: You probably are. I was just talking about this. All 695 00:43:59,160 --> 00:44:02,680 Speaker 1: the companies eight, TNT, Team Mobile, Verizon that you give 696 00:44:02,719 --> 00:44:06,960 Speaker 1: money to, they are spending money on woke political advertisements. 697 00:44:07,320 --> 00:44:10,640 Speaker 1: They are your political enemies. You know who isn't pure Talk? 698 00:44:11,120 --> 00:44:13,920 Speaker 1: You can save today with them hundreds of dollars a 699 00:44:14,000 --> 00:44:17,200 Speaker 1: year and they have the exact same coverage as the 700 00:44:17,239 --> 00:44:20,240 Speaker 1: other guys, but for half the price. Pure Talk customer 701 00:44:20,280 --> 00:44:24,120 Speaker 1: service based entirely in the United States. Some of these 702 00:44:24,160 --> 00:44:27,319 Speaker 1: guys with twenty years of experience with the company, and 703 00:44:27,360 --> 00:44:30,720 Speaker 1: when you make the switch, you're supporting a veteran owned business. 704 00:44:31,120 --> 00:44:33,920 Speaker 1: And Plus, as you make that switch, you'll make an 705 00:44:33,920 --> 00:44:37,960 Speaker 1: additional fifty percent off your first bill. That's an additional 706 00:44:38,000 --> 00:44:41,720 Speaker 1: fifty percent off your first month. Make the switch today, simple, 707 00:44:41,960 --> 00:44:45,880 Speaker 1: it's easy, can save you hundreds of dollars over the 708 00:44:45,880 --> 00:44:48,439 Speaker 1: course of a year for you and your family. Here's 709 00:44:48,480 --> 00:44:51,320 Speaker 1: how you do it. Get your cell phones. Dial pound 710 00:44:51,480 --> 00:44:55,040 Speaker 1: two five zero say Clay and Buck, and the customer 711 00:44:55,160 --> 00:44:57,759 Speaker 1: service team based right here in the United States will 712 00:44:57,800 --> 00:45:00,400 Speaker 1: get you switched over in as little as ten minutes. 713 00:45:00,640 --> 00:45:04,120 Speaker 1: That's Pound two five zero, say Clay and Buck. Make 714 00:45:04,200 --> 00:45:07,520 Speaker 1: the switch to pure Talk today. Pure Talk is simply 715 00:45:07,760 --> 00:45:16,920 Speaker 1: smarter wireless. Welcome back in Clay, Travis Buck Sexton Show. 716 00:45:18,560 --> 00:45:25,239 Speaker 1: Rejoice WNBA fans across the land. Brittney Griner is officially 717 00:45:25,280 --> 00:45:30,200 Speaker 1: back in Texas. If you're curious how this is playing 718 00:45:30,239 --> 00:45:37,640 Speaker 1: in Russia, Russian media is ridiculing Joe Biden and they 719 00:45:37,760 --> 00:45:42,240 Speaker 1: are all saying that the Biden administration was given a choice. 720 00:45:43,320 --> 00:45:47,239 Speaker 1: You can free a former marine who has been in 721 00:45:47,320 --> 00:45:51,560 Speaker 1: prison for four years in exchange for the merchant of 722 00:45:51,680 --> 00:45:58,000 Speaker 1: death Victor boot Or. That's Paul Whalen. We will give 723 00:45:58,040 --> 00:46:03,040 Speaker 1: you w NBA player. I was gonna say superstar, but 724 00:46:03,080 --> 00:46:05,560 Speaker 1: I thought that was too much exaggeration. W NBA player 725 00:46:05,800 --> 00:46:13,680 Speaker 1: Britney Griner. The Biden administration picked foot the basketball player 726 00:46:14,800 --> 00:46:18,000 Speaker 1: and left the former marine in prison despite the fact 727 00:46:18,040 --> 00:46:20,440 Speaker 1: that he's been there for four years now and Brittany 728 00:46:20,440 --> 00:46:22,480 Speaker 1: Griner had only been there for I believe nine or 729 00:46:22,520 --> 00:46:25,560 Speaker 1: ten months since she was taken into custody in February. 730 00:46:26,440 --> 00:46:30,000 Speaker 1: And I believe we have a crazy clip of our 731 00:46:30,040 --> 00:46:33,480 Speaker 1: good friends Sonny Houston, aka one of the dumbest people 732 00:46:33,560 --> 00:46:37,600 Speaker 1: on the dumbest television show that airs daily in America. 733 00:46:37,680 --> 00:46:42,320 Speaker 1: I believe Sonny Houston on the View said Brittany Grinder 734 00:46:42,400 --> 00:46:45,399 Speaker 1: is an example of female athletes not being paid well 735 00:46:45,560 --> 00:46:48,640 Speaker 1: enough and that has to change. Listen. I think it 736 00:46:48,760 --> 00:46:52,560 Speaker 1: highlights why our women need to be paid their value 737 00:46:52,600 --> 00:46:55,080 Speaker 1: in sports, because that's why she was over there in 738 00:46:55,120 --> 00:46:59,239 Speaker 1: the first place. She's overpaid. Let's just be clear about this. 739 00:47:00,080 --> 00:47:03,880 Speaker 1: One cares about the WNBA. Whatever money Brittany Griner is 740 00:47:03,920 --> 00:47:08,080 Speaker 1: making is essentially a gift from the NBA to the 741 00:47:08,200 --> 00:47:13,640 Speaker 1: w NBA. This idea that somebody needs to be paid 742 00:47:13,640 --> 00:47:17,000 Speaker 1: their fair value and that people are being not paid 743 00:47:17,040 --> 00:47:19,960 Speaker 1: well enough because they are women. Is so embedded in 744 00:47:20,040 --> 00:47:24,759 Speaker 1: Democrat talking points it makes zero sense. Okay, and let 745 00:47:24,760 --> 00:47:27,640 Speaker 1: me just explain, Like right now, Elon Musk is being 746 00:47:27,640 --> 00:47:30,200 Speaker 1: criticized at Twitter because they said that he got rid 747 00:47:30,360 --> 00:47:33,520 Speaker 1: of too many women inside of the company. As someone 748 00:47:33,560 --> 00:47:38,280 Speaker 1: who has run a company, if women truly made twenty 749 00:47:38,320 --> 00:47:42,799 Speaker 1: percent less than men for the same job and had 750 00:47:42,880 --> 00:47:46,400 Speaker 1: the same quality of work, I would be an imbecile 751 00:47:47,000 --> 00:47:50,400 Speaker 1: if I didn't fire every man and only have women 752 00:47:50,480 --> 00:47:54,360 Speaker 1: work at my company, right, And it wouldn't just be me, 753 00:47:54,600 --> 00:47:57,640 Speaker 1: it would be everyone who has ever run a company 754 00:47:57,640 --> 00:48:03,120 Speaker 1: in America. If you told them, hey, you can eliminate 755 00:48:03,360 --> 00:48:08,359 Speaker 1: twenty percent of all of your labor costs and the 756 00:48:08,480 --> 00:48:12,080 Speaker 1: quality of work will be the exact same. All you 757 00:48:12,160 --> 00:48:15,040 Speaker 1: have to do is fire every man and replace them 758 00:48:15,080 --> 00:48:19,359 Speaker 1: with women. Every business in America would do it. So 759 00:48:19,400 --> 00:48:23,640 Speaker 1: the basic economics. And look, I understand that democrats don't understand, 760 00:48:23,640 --> 00:48:27,920 Speaker 1: by and large, basic economics. The basic economics of the 761 00:48:28,120 --> 00:48:34,320 Speaker 1: argument don't even make sense. And guess what the great 762 00:48:34,440 --> 00:48:39,920 Speaker 1: thing about sports is if you have talent and produce money, 763 00:48:40,280 --> 00:48:46,680 Speaker 1: you get paid. Women in UFC make good salaries if 764 00:48:46,719 --> 00:48:52,839 Speaker 1: they are helping to drive the overall revenue for pay 765 00:48:52,840 --> 00:48:56,279 Speaker 1: per view events. You know who? I wish we talked 766 00:48:56,320 --> 00:49:01,359 Speaker 1: more about being underpaid male models. You know, they just 767 00:49:01,560 --> 00:49:05,279 Speaker 1: they don't get any of the same treatment as the 768 00:49:05,320 --> 00:49:13,040 Speaker 1: female models. Really good looking women become supermodels and everybody 769 00:49:13,080 --> 00:49:16,879 Speaker 1: knows them and they get super rich. Can you name 770 00:49:16,920 --> 00:49:20,200 Speaker 1: a famous male model. The only one I could think 771 00:49:20,239 --> 00:49:22,759 Speaker 1: of is Fabio? Remember him back? And then I don't 772 00:49:22,760 --> 00:49:25,400 Speaker 1: know if Fabio is still alive. Fabio is on the 773 00:49:25,400 --> 00:49:28,040 Speaker 1: cover of like every romance novel. Do you remember that. 774 00:49:28,520 --> 00:49:35,000 Speaker 1: I can't even name a single male cast member of 775 00:49:35,040 --> 00:49:38,680 Speaker 1: the like supermodel industry. Can you name one? Seems like 776 00:49:38,760 --> 00:49:42,800 Speaker 1: really pretty straightforward discrimination to me. Why aren't male models 777 00:49:42,800 --> 00:49:45,840 Speaker 1: paid the same as female models. They do the same job, 778 00:49:46,960 --> 00:49:49,080 Speaker 1: They wear fancy clothes and they walk down a runway, 779 00:49:49,600 --> 00:49:53,400 Speaker 1: they pose for magazines. Why are men being discriminated against 780 00:49:53,440 --> 00:49:58,719 Speaker 1: in the modeling industry? Oh, oh, there's way more interest 781 00:49:58,800 --> 00:50:02,960 Speaker 1: in demand. We're really good looking female models. Oh so 782 00:50:02,960 --> 00:50:05,240 Speaker 1: they made more money. Oh it's interesting how that works. 783 00:50:07,520 --> 00:50:15,360 Speaker 1: Basic economics. Sonny Hostin doesn't understand basic economics. Britney Griner 784 00:50:15,840 --> 00:50:22,479 Speaker 1: is wildly overpaid in the w NBA you know what's sad. 785 00:50:22,520 --> 00:50:25,000 Speaker 1: I was talking about how woke the advertising industry is. 786 00:50:25,080 --> 00:50:27,439 Speaker 1: How long is it gonna take till Britney Griner gets 787 00:50:27,560 --> 00:50:32,360 Speaker 1: multimillion dollar marketing deals, not based on her talent, but 788 00:50:32,480 --> 00:50:37,120 Speaker 1: because she was imprisoned in Russia. From a money making perspective, 789 00:50:38,080 --> 00:50:43,000 Speaker 1: Brittney Griner is going to have every woke company falling 790 00:50:43,000 --> 00:50:48,000 Speaker 1: all over itself to give her money. Car companies say, 791 00:50:48,040 --> 00:50:50,239 Speaker 1: people who want to advertise on this show to be 792 00:50:50,360 --> 00:50:53,279 Speaker 1: like America too much. Remember Britney Griner said, hey, can 793 00:50:53,320 --> 00:50:56,160 Speaker 1: we stop playing the national anthem before w NBA games. 794 00:50:57,200 --> 00:51:01,040 Speaker 1: Biden administration got her out instead of a marine. Think 795 00:51:01,040 --> 00:51:04,920 Speaker 1: about that for a minute. She asked the w NBA 796 00:51:05,080 --> 00:51:09,279 Speaker 1: to stop playing the national anthem before games, and then 797 00:51:09,280 --> 00:51:13,040 Speaker 1: she gets arrested overseas for committing a crime. Everybody seems 798 00:51:13,040 --> 00:51:16,080 Speaker 1: to forget. You may not think it's that significant of 799 00:51:16,080 --> 00:51:18,719 Speaker 1: a crime, but I would argue, hey, traveling with any 800 00:51:18,800 --> 00:51:23,239 Speaker 1: kind of drug overseas really not very smart. So she 801 00:51:23,280 --> 00:51:27,400 Speaker 1: committed a crime in Russia in a time, by the way, 802 00:51:27,840 --> 00:51:31,600 Speaker 1: when Russia and the United States were going and still are. 803 00:51:31,719 --> 00:51:34,120 Speaker 1: But maybe the decision to even go to Russia in 804 00:51:34,120 --> 00:51:36,279 Speaker 1: the first place not very smart in February. If you're 805 00:51:36,280 --> 00:51:39,520 Speaker 1: watching the news at all, Hey, Russia is about to 806 00:51:39,560 --> 00:51:44,600 Speaker 1: invade Ukraine. Potential war starting in Europe. Maybe sit out 807 00:51:44,640 --> 00:51:47,960 Speaker 1: this season to go play basketball in Russia. Just tossing 808 00:51:47,960 --> 00:51:52,200 Speaker 1: it out there as a possibility. So she breaks the law. 809 00:51:52,880 --> 00:51:55,840 Speaker 1: She argues that we shouldn't play the national anthem before games. 810 00:51:57,160 --> 00:51:59,759 Speaker 1: And then Joe Biden gives the Merchant of Death to 811 00:51:59,760 --> 00:52:04,160 Speaker 1: get at her back and turns his back on a 812 00:52:04,200 --> 00:52:08,920 Speaker 1: former marine who's been in jail for far longer. And 813 00:52:09,000 --> 00:52:12,680 Speaker 1: now the Russians are legitimately going on all over their 814 00:52:12,760 --> 00:52:16,359 Speaker 1: country and they are ridiculing the United States. And as 815 00:52:16,400 --> 00:52:21,680 Speaker 1: I mentioned yesterday, the Merchant of Death, you know, as 816 00:52:21,800 --> 00:52:27,319 Speaker 1: nicknames go, just tossing it out there as nicknames go. 817 00:52:28,400 --> 00:52:30,000 Speaker 1: I wouldn't want to be spending a lot of time 818 00:52:30,000 --> 00:52:33,280 Speaker 1: with the Merchant of Death. Right. You were like, hey, 819 00:52:35,080 --> 00:52:38,320 Speaker 1: bringing a new guy. You got a daughter. She's like, yeah, 820 00:52:38,360 --> 00:52:41,160 Speaker 1: he's got a little bit of a bad reputation. You know, 821 00:52:41,280 --> 00:52:45,040 Speaker 1: it's Thanksgiving, it's Christmas. I've got a new boyfriend. There's 822 00:52:45,080 --> 00:52:48,479 Speaker 1: some negative stuff out there about him on the internet. Mom, Dad, 823 00:52:48,600 --> 00:52:51,880 Speaker 1: just want to let you know in advance Okay, well, 824 00:52:52,520 --> 00:52:54,640 Speaker 1: what do we need to know? Well, they call him 825 00:52:54,680 --> 00:52:57,759 Speaker 1: the merchant of death. I'll be like, I don't think 826 00:52:57,760 --> 00:53:00,960 Speaker 1: he gets a come of thanksgiving. Biden just sitting back 827 00:53:00,960 --> 00:53:05,360 Speaker 1: to Russia to be the merchant of more death while 828 00:53:05,440 --> 00:53:10,360 Speaker 1: claiming this is amazing. The same day he went to 829 00:53:10,640 --> 00:53:15,920 Speaker 1: a memorial for victims of gun violence, he released from 830 00:53:15,960 --> 00:53:21,000 Speaker 1: American prisons, one of the greatest purveyors of gun violence 831 00:53:21,120 --> 00:53:27,680 Speaker 1: in our lives. And Russia can't arm its troops in 832 00:53:27,880 --> 00:53:34,239 Speaker 1: Ukraine right now. They are using way old materials there 833 00:53:34,400 --> 00:53:37,640 Speaker 1: right like tanks from the nineteen forties. They've been getting 834 00:53:37,880 --> 00:53:41,839 Speaker 1: wrecked a lot of their war material. Do you think 835 00:53:41,920 --> 00:53:45,799 Speaker 1: Vladimir Putin might like to have one of the foremost 836 00:53:46,000 --> 00:53:49,960 Speaker 1: arms dealers in the world back wheeling and dealing in 837 00:53:50,040 --> 00:53:53,920 Speaker 1: Russia to help continue the war against Ukraine. I'm just 838 00:53:53,960 --> 00:53:56,200 Speaker 1: going to toss it out there. Seems like kind of 839 00:53:56,200 --> 00:53:59,920 Speaker 1: a big deal. So, in addition to turning his back 840 00:54:00,160 --> 00:54:03,279 Speaker 1: on a marine, which sadly has become one of Joe 841 00:54:03,320 --> 00:54:05,880 Speaker 1: Biden's calling cards as president because you saw what happened 842 00:54:05,920 --> 00:54:12,000 Speaker 1: in Afghanistan, Joe Biden also put out onto the streets 843 00:54:12,080 --> 00:54:15,920 Speaker 1: one of the foremost dealers in illegal arms while claiming 844 00:54:15,920 --> 00:54:19,840 Speaker 1: to be against gun violence and while claiming to be 845 00:54:20,000 --> 00:54:23,120 Speaker 1: supportive fully of Ukraine. Allowed Russia to have one of 846 00:54:23,120 --> 00:54:27,000 Speaker 1: the greatest assets it could to prolong its war against Ukraine. 847 00:54:27,840 --> 00:54:32,040 Speaker 1: And in exchange, we got a w NBA player who 848 00:54:32,239 --> 00:54:35,120 Speaker 1: demanded that they stopped playing the national anthem before w 849 00:54:35,400 --> 00:54:41,000 Speaker 1: NBA games. As trades go, this may be the worst 850 00:54:41,000 --> 00:54:46,759 Speaker 1: trade in American political history. Sorry, Houston fans. Even Bill O'Brien, 851 00:54:47,080 --> 00:54:50,439 Speaker 1: former Houston Texans coach, was like, this is a bad deal. 852 00:54:51,760 --> 00:54:53,400 Speaker 1: I'm making that up. He didn't actually say it, but 853 00:54:53,400 --> 00:54:55,920 Speaker 1: he is the worst trader of all time. T r 854 00:54:56,000 --> 00:55:01,720 Speaker 1: a d er, not a trader. That's Joe Biden, who's 855 00:55:01,719 --> 00:55:04,160 Speaker 1: been a trader to Marines now for much of his 856 00:55:04,200 --> 00:55:10,960 Speaker 1: tenure in office, and a trader too basic ideals that 857 00:55:11,080 --> 00:55:16,000 Speaker 1: this country stands upon, and now an awful trader as 858 00:55:16,040 --> 00:55:19,719 Speaker 1: well in terms of what he gave up to get 859 00:55:19,760 --> 00:55:23,879 Speaker 1: back Britney Griner. It's the identity politics, full fruition of 860 00:55:23,960 --> 00:55:29,319 Speaker 1: the Democrat Party. Brittany Griner is back because she's gay 861 00:55:29,360 --> 00:55:34,399 Speaker 1: and black and a woman. If she had not been 862 00:55:34,400 --> 00:55:37,600 Speaker 1: those three things, she had just been a white former 863 00:55:37,640 --> 00:55:40,440 Speaker 1: marine she'd still be in prison. How do we know? 864 00:55:40,680 --> 00:55:43,040 Speaker 1: Look at what happened to Paul Whalen. Biden made a choice, 865 00:55:44,120 --> 00:55:46,680 Speaker 1: just like he did in the Supreme Court. All that 866 00:55:46,800 --> 00:55:51,680 Speaker 1: matters the Biden white House is identity politics. Talent doesn't matter. 867 00:55:52,360 --> 00:55:57,000 Speaker 1: It's all box checking absurdity. And it just keeps happening, 868 00:55:57,120 --> 00:55:59,560 Speaker 1: and it just keeps getting worse. And I don't think 869 00:55:59,560 --> 00:56:02,080 Speaker 1: it's a coin incidents that this happened two days after 870 00:56:02,080 --> 00:56:05,759 Speaker 1: the runoff in Georgia and a month after the midterm elections, 871 00:56:06,400 --> 00:56:09,040 Speaker 1: because Biden knew how politically unpopular it was going to 872 00:56:09,120 --> 00:56:12,120 Speaker 1: be with the general public, but he didn't care because 873 00:56:12,160 --> 00:56:15,720 Speaker 1: all he cares about is his identity politics laden base. 874 00:56:16,400 --> 00:56:20,440 Speaker 1: That's the simple truth. We'll finish with your calls. I 875 00:56:20,480 --> 00:56:23,000 Speaker 1: appreciate all of you hanging out with us. I hope 876 00:56:23,040 --> 00:56:26,839 Speaker 1: you're having fantastic fridays. Thank you for being patriots, and 877 00:56:26,920 --> 00:56:30,799 Speaker 1: thank you for being sane in an insane world. But 878 00:56:31,600 --> 00:56:35,680 Speaker 1: I've gotta tell you, so we roll into the final segment. Here. 879 00:56:35,719 --> 00:56:37,000 Speaker 1: Do you know where I spend a lot of my 880 00:56:37,040 --> 00:56:40,640 Speaker 1: time sitting as I'm writing this new book. When I finished, 881 00:56:40,640 --> 00:56:43,080 Speaker 1: I'm gonna go do my OutKick show. Then I'm gonna 882 00:56:43,080 --> 00:56:44,920 Speaker 1: sit down at my desk in my EX chair and 883 00:56:44,920 --> 00:56:47,720 Speaker 1: I'm gonna work on the draft for my new book. 884 00:56:48,360 --> 00:56:50,080 Speaker 1: And when you're sitting in a chair, as many of 885 00:56:50,120 --> 00:56:53,440 Speaker 1: you know, in a home office, whether that chair is 886 00:56:53,480 --> 00:56:57,279 Speaker 1: comfortable makes a huge difference in your productivity. How much 887 00:56:57,280 --> 00:57:01,160 Speaker 1: time can you spend actually producing work? Well? The chair 888 00:57:01,200 --> 00:57:05,200 Speaker 1: matters a great deal, and my X chair is phenomenal. 889 00:57:06,000 --> 00:57:09,719 Speaker 1: You can save an absolute bundle right now. How many 890 00:57:09,719 --> 00:57:12,399 Speaker 1: of you are right now having to make decisions. It's 891 00:57:12,440 --> 00:57:16,480 Speaker 1: hard to shop for some people, right Grandpa, dad, maybe 892 00:57:16,520 --> 00:57:18,439 Speaker 1: it's your grandma, Maybe it's your mom. There's always people 893 00:57:18,440 --> 00:57:21,120 Speaker 1: out there who never can quite get the right gift. 894 00:57:21,160 --> 00:57:23,680 Speaker 1: What they have home offices. Have they added a new 895 00:57:23,720 --> 00:57:27,080 Speaker 1: home office in the wake of COVID? Do they need 896 00:57:27,160 --> 00:57:30,160 Speaker 1: to be more comfortable and productive at work? Just about 897 00:57:30,160 --> 00:57:32,440 Speaker 1: everybody does. 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