1 00:00:00,160 --> 00:00:03,360 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,400 --> 00:00:07,520 Speaker 1: Sexton Show podcast. We welcome in everybody. Thursday edition of 3 00:00:07,600 --> 00:00:12,600 Speaker 1: The Clay Travis and Buck Sexton Show kicks off right now. 4 00:00:12,760 --> 00:00:15,080 Speaker 1: We've got much to disgust with you, as always, coming 5 00:00:15,080 --> 00:00:19,720 Speaker 1: to you from Houston today. Kt RH very very excited 6 00:00:19,760 --> 00:00:22,920 Speaker 1: to be back in the great state of Texas. I 7 00:00:23,000 --> 00:00:25,920 Speaker 1: do so love it here and I'll actually make my 8 00:00:25,960 --> 00:00:29,480 Speaker 1: first trip down to Beaumont last night. Clay had dinner 9 00:00:29,480 --> 00:00:32,960 Speaker 1: with our friends Jesse Kelly and Michael Berry last night, 10 00:00:33,400 --> 00:00:36,880 Speaker 1: so they gave me a warm Hustonian Texas well do 11 00:00:36,880 --> 00:00:39,080 Speaker 1: you guys eat? And oh man. We went to a 12 00:00:39,120 --> 00:00:43,600 Speaker 1: great steakhouse right in downtown, Steak forty eight. It was fantastic. 13 00:00:43,680 --> 00:00:45,519 Speaker 1: I sat down, I was like, you know, I've had 14 00:00:45,520 --> 00:00:48,240 Speaker 1: a lot of steak recently. I'm going to have some fish. 15 00:00:48,360 --> 00:00:50,520 Speaker 1: And then I realized if I had fish at the steakhouse, 16 00:00:50,520 --> 00:00:52,519 Speaker 1: Michael Berry and Jesse Kelly would probably make fun of 17 00:00:52,600 --> 00:00:54,680 Speaker 1: me for the next six months, and. 18 00:00:54,240 --> 00:00:56,959 Speaker 2: The waiters who probably listened to they would have been 19 00:00:57,000 --> 00:00:59,480 Speaker 2: walking around like I got to meet Buck sext in 20 00:00:59,600 --> 00:01:02,319 Speaker 2: me came to a steakhouse and he ordered fish I mean, 21 00:01:02,440 --> 00:01:05,399 Speaker 2: I'd be like hat, I'm like a guy who drives 22 00:01:05,440 --> 00:01:06,399 Speaker 2: super slow in his car. 23 00:01:06,440 --> 00:01:08,560 Speaker 1: It seems like the kind of movie make. It does 24 00:01:08,600 --> 00:01:12,280 Speaker 1: seem like that kind of a move. We definitely are 25 00:01:12,319 --> 00:01:15,440 Speaker 1: excited to be down here in Texas and I'm gonna 26 00:01:15,440 --> 00:01:18,520 Speaker 1: be laying out for you here. What's going on today. Okay, 27 00:01:18,560 --> 00:01:22,760 Speaker 1: We've got a bunch of things. Antitrust lawsuit against Apple 28 00:01:22,880 --> 00:01:26,080 Speaker 1: turns out that just because you love your smartphone doesn't 29 00:01:26,120 --> 00:01:29,120 Speaker 1: mean that your smartphone should be the only one or 30 00:01:29,480 --> 00:01:31,560 Speaker 1: close to the only one you're really able to get. 31 00:01:32,680 --> 00:01:35,800 Speaker 1: Interesting that they're saying Apple has maintained monopoly power. They're 32 00:01:35,800 --> 00:01:39,959 Speaker 1: going after that. We've got student debt forgiveness on the docket, 33 00:01:40,000 --> 00:01:45,280 Speaker 1: once again opening up the the money spigot. If you 34 00:01:45,319 --> 00:01:48,920 Speaker 1: will your money, the taxpayer dollars, they're deciding. You know what, 35 00:01:49,840 --> 00:01:51,840 Speaker 1: I got an idea, what if we just try to 36 00:01:51,880 --> 00:01:57,560 Speaker 1: buy off specific constituencies by doing unconstitutional things and foisting 37 00:01:57,600 --> 00:02:00,880 Speaker 1: more debt on the backs of the taxpayer to get votes. 38 00:02:01,080 --> 00:02:03,320 Speaker 1: You know, it's pretty straightforward. This is like old school 39 00:02:03,800 --> 00:02:06,560 Speaker 1: Tammany Hall and New York stuff, the old corrupt Tammany Hall, 40 00:02:06,600 --> 00:02:10,760 Speaker 1: you know, handout, you know, food to people, handout steaks 41 00:02:10,800 --> 00:02:12,280 Speaker 1: out of the back of the wagon or the truck 42 00:02:12,360 --> 00:02:15,160 Speaker 1: or whatever. Just get people to vote for you. Also 43 00:02:15,400 --> 00:02:18,959 Speaker 1: some some chaos down at the University of Memphis BLM 44 00:02:19,040 --> 00:02:24,480 Speaker 1: protesters chasing down people at a at an event where 45 00:02:24,560 --> 00:02:30,200 Speaker 1: Kyle Rittenhouse was speaking. And yeah, so we'll dive into 46 00:02:30,360 --> 00:02:34,639 Speaker 1: some of that. Also, the border crisis, illegal alien situation 47 00:02:35,040 --> 00:02:38,560 Speaker 1: continuing to be a huge problem for the country and 48 00:02:38,639 --> 00:02:42,160 Speaker 1: also a huge problem for Democrats going into this election 49 00:02:42,280 --> 00:02:44,240 Speaker 1: cycle because they have no answers. But but you know, 50 00:02:44,320 --> 00:02:47,440 Speaker 1: Clay shared this with me this morning and put it 51 00:02:47,440 --> 00:02:51,800 Speaker 1: out on x also known as Twitter. As we know, 52 00:02:53,200 --> 00:02:58,160 Speaker 1: there was a whole news cycle devoted to the usage 53 00:02:58,280 --> 00:03:01,560 Speaker 1: of a Trump word, or Trump's usage of a word. 54 00:03:01,919 --> 00:03:04,440 Speaker 1: I don't think Trump came up with the word usage 55 00:03:04,480 --> 00:03:08,520 Speaker 1: of a word and they decided to play dumb. And 56 00:03:08,560 --> 00:03:11,120 Speaker 1: this is one of the only Trump tactics or anti 57 00:03:11,160 --> 00:03:15,040 Speaker 1: Trump tactics that I found somewhat curious. In the first 58 00:03:15,600 --> 00:03:19,160 Speaker 1: term of his presidency, which was all of a sudden, words, 59 00:03:19,480 --> 00:03:23,560 Speaker 1: the plain meaning of language changed, Jokes were no longer allowed, 60 00:03:23,960 --> 00:03:27,480 Speaker 1: sarcasm or exaggeration, all of a sudden, People that make 61 00:03:27,520 --> 00:03:31,720 Speaker 1: a living understanding the English language, failed to understand the 62 00:03:31,720 --> 00:03:34,240 Speaker 1: English language when it comes to Donald Trump. Well, I 63 00:03:34,280 --> 00:03:36,960 Speaker 1: have this now, and this is from this account and wokeness, 64 00:03:37,080 --> 00:03:40,480 Speaker 1: which does some very nice work on x on the 65 00:03:40,560 --> 00:03:48,520 Speaker 1: definition of bloodbath, and it says this is from Google right, 66 00:03:48,920 --> 00:03:51,960 Speaker 1: A ruthless slaughter of a great number of people, a massacre. 67 00:03:52,720 --> 00:03:57,120 Speaker 1: Informal a period of disastrous loss or reversal. That was Sunday, 68 00:03:57,160 --> 00:04:01,280 Speaker 1: March seventeenth. He has now shared has shared as of Thursday, 69 00:04:01,320 --> 00:04:06,760 Speaker 1: March twenty seventh. I'm not seeing the informal period of 70 00:04:06,800 --> 00:04:10,440 Speaker 1: disastrous loss or reversal. And I'm just to say this, Clay, 71 00:04:11,760 --> 00:04:14,400 Speaker 1: whether this is indicative of a broader effort or not 72 00:04:14,520 --> 00:04:18,440 Speaker 1: to change the definition of a word, we are constantly 73 00:04:18,520 --> 00:04:21,559 Speaker 1: losing the battle of redefining words to the left because 74 00:04:21,600 --> 00:04:24,919 Speaker 1: they do this with on a whole range of things. Obviously, 75 00:04:24,960 --> 00:04:27,200 Speaker 1: immigration is won. It's gone from a legal alien to 76 00:04:27,240 --> 00:04:30,680 Speaker 1: a legal immigrant, to undocumented to non citizen. They have 77 00:04:30,839 --> 00:04:33,560 Speaker 1: this whole that this slate of demands about how you 78 00:04:33,600 --> 00:04:36,919 Speaker 1: can speak about transgender people, for example, and what the 79 00:04:36,920 --> 00:04:41,840 Speaker 1: different pronoun usages are. He who controls the language, controls 80 00:04:41,880 --> 00:04:45,080 Speaker 1: the debate. And now they're even willing to use the 81 00:04:45,200 --> 00:04:49,840 Speaker 1: online platforms, they have to officially change the terms of 82 00:04:49,880 --> 00:04:50,360 Speaker 1: the debate. 83 00:04:50,760 --> 00:04:54,599 Speaker 2: Yeah, and I look this up myself, because yeah, you 84 00:04:54,640 --> 00:04:57,320 Speaker 2: never know. Let's be honest, it's the Internet. Anything can 85 00:04:57,360 --> 00:05:00,400 Speaker 2: be said. Of course, this is what the definition is 86 00:05:00,440 --> 00:05:03,560 Speaker 2: A bloodbath that comes up when I pulled out my 87 00:05:03,680 --> 00:05:06,520 Speaker 2: iPhone and went in and just looked up the definition. 88 00:05:07,240 --> 00:05:13,360 Speaker 2: And this is where Trump is one billion percent accurate. 89 00:05:14,400 --> 00:05:18,760 Speaker 2: We can dispute, Hey, what happened with voting tallies, what 90 00:05:18,880 --> 00:05:22,640 Speaker 2: happened at three am, what happened in Wisconsin, what happened 91 00:05:22,680 --> 00:05:24,760 Speaker 2: in Georgia, all those things. 92 00:05:24,760 --> 00:05:27,440 Speaker 1: You guys can argue about as much as you want. 93 00:05:28,279 --> 00:05:33,360 Speaker 2: There is zero doubt that big tech rigged the election 94 00:05:33,640 --> 00:05:37,280 Speaker 2: for Joe Biden in twenty twenty. Zero doubt about it 95 00:05:37,320 --> 00:05:41,000 Speaker 2: at all. And a lot of what they do to 96 00:05:41,240 --> 00:05:44,920 Speaker 2: rig elections is actually subtle. 97 00:05:45,839 --> 00:05:48,560 Speaker 1: Some of it is, Hey, there's no way to deny it. 98 00:05:48,680 --> 00:05:51,520 Speaker 2: Oh, we're gonna pretend that Joe Biden laptop, the Hunter 99 00:05:51,560 --> 00:05:56,200 Speaker 2: Biden laptop isn't real. All of those stories that should 100 00:05:56,200 --> 00:05:59,040 Speaker 2: have been covered with a fine tooth comb by the media. 101 00:05:59,120 --> 00:06:01,800 Speaker 2: Oh it's Russian town information. We're going to allow that 102 00:06:01,880 --> 00:06:05,040 Speaker 2: lie to fester. We're gonna spread it to do whatever 103 00:06:05,080 --> 00:06:07,600 Speaker 2: we can to have Joe Biden win in twenty twenty. 104 00:06:07,920 --> 00:06:11,640 Speaker 2: That's blatant, and that's obvious the kind of thing that 105 00:06:11,680 --> 00:06:15,159 Speaker 2: we're talking about right here. What's the definition of bloodbath? 106 00:06:15,760 --> 00:06:19,040 Speaker 2: Where does your search take you? When you go into 107 00:06:19,080 --> 00:06:25,160 Speaker 2: Google and you type in a search terminology, those things 108 00:06:25,240 --> 00:06:28,600 Speaker 2: are hidden to a large extent. What is the algorithm 109 00:06:28,680 --> 00:06:32,320 Speaker 2: doing on TikTok? Who is it favoring? What is Facebook 110 00:06:32,360 --> 00:06:33,559 Speaker 2: putting onto your feed? 111 00:06:33,680 --> 00:06:34,400 Speaker 1: What is it not? 112 00:06:35,320 --> 00:06:40,599 Speaker 2: These are all things that are underground, and your average 113 00:06:40,640 --> 00:06:42,400 Speaker 2: person doesn't really think about it. 114 00:06:42,440 --> 00:06:43,679 Speaker 1: I mean, think about this, buck. 115 00:06:44,839 --> 00:06:49,000 Speaker 2: What percentage of the American public does it or isn't 116 00:06:49,080 --> 00:06:51,800 Speaker 2: familiar with the use of the term bloodbath. 117 00:06:53,240 --> 00:06:55,600 Speaker 1: I think I've used that phrase. I bet a bunch. 118 00:06:55,640 --> 00:06:57,120 Speaker 2: I bet I've used it if we had like a 119 00:06:57,240 --> 00:06:59,400 Speaker 2: word search, I bet I've used it on this It's 120 00:06:59,400 --> 00:07:02,320 Speaker 2: not uncommon and in the world of business, in the 121 00:07:02,360 --> 00:07:06,280 Speaker 2: world of elections, could kind of use that phrase and 122 00:07:07,080 --> 00:07:09,440 Speaker 2: totally not be using it in the context of a 123 00:07:09,480 --> 00:07:13,040 Speaker 2: massacre or someone being murdered, but just in the context of, oh, 124 00:07:13,040 --> 00:07:14,600 Speaker 2: this is a really bad business situation. 125 00:07:14,720 --> 00:07:17,080 Speaker 1: This is a whipping that somebody took. The kind of 126 00:07:17,080 --> 00:07:17,960 Speaker 1: person who's. 127 00:07:17,680 --> 00:07:22,840 Speaker 2: Looking that up is actually someone who is somewhat intelligent 128 00:07:23,160 --> 00:07:26,800 Speaker 2: but maybe not that common in terms of word usage. 129 00:07:27,080 --> 00:07:28,200 Speaker 1: And what are they going to see. 130 00:07:28,360 --> 00:07:31,920 Speaker 2: They're going to see, Oh, Trump really is calling for 131 00:07:32,000 --> 00:07:35,080 Speaker 2: a bloodbath. In other words, people who are able to 132 00:07:35,160 --> 00:07:39,840 Speaker 2: be influenced and don't necessarily realize that they're being influenced 133 00:07:39,840 --> 00:07:43,480 Speaker 2: by their Google searches. That is particularly I think pernicious 134 00:07:43,880 --> 00:07:44,640 Speaker 2: and dangerous. 135 00:07:44,960 --> 00:07:48,080 Speaker 1: Well, it also goes to and this should be the 136 00:07:48,480 --> 00:07:53,720 Speaker 1: expectation from now until the election and thereafter, but particularly 137 00:07:53,760 --> 00:07:58,679 Speaker 1: now to the election, is whenever you see anti Trump 138 00:07:58,840 --> 00:08:03,960 Speaker 1: media news, whenever you see them lying about something in 139 00:08:04,000 --> 00:08:08,480 Speaker 1: an effort to attack Trump, have no expectation whatsoever that 140 00:08:08,600 --> 00:08:12,400 Speaker 1: when the facts come out, or when the response emerges, 141 00:08:12,760 --> 00:08:15,560 Speaker 1: that's not true or that's not the definition of that, 142 00:08:15,720 --> 00:08:18,920 Speaker 1: or whatever it may be. It doesn't matter. On the left, 143 00:08:19,320 --> 00:08:22,880 Speaker 1: there's no I'm sorry, there's no I made a mistake, 144 00:08:23,760 --> 00:08:29,800 Speaker 1: because the anti Trump left, anti conservative left now finds 145 00:08:29,840 --> 00:08:32,600 Speaker 1: themselves in this position where they have an addiction right, 146 00:08:32,600 --> 00:08:35,000 Speaker 1: They have a fever, and their only prescription is more 147 00:08:35,000 --> 00:08:39,080 Speaker 1: Trump hatred. They have an addiction for news cycles that 148 00:08:39,160 --> 00:08:42,600 Speaker 1: will focus on not a policy difference, right. I mean, 149 00:08:42,600 --> 00:08:44,120 Speaker 1: it'd be one thing that they're saying, Oh my gosh, 150 00:08:44,200 --> 00:08:46,880 Speaker 1: you know, we really should lower the marginal tax rate 151 00:08:46,960 --> 00:08:50,600 Speaker 1: or in their case, raise the marginal tax rate on whatever. Sure, 152 00:08:50,640 --> 00:08:52,840 Speaker 1: that would be politics, we could talk about that. No, 153 00:08:52,960 --> 00:08:55,200 Speaker 1: it has to be Donald Trump is calling for violence, 154 00:08:55,400 --> 00:08:58,720 Speaker 1: and he's literally, as they would say, trying to destroy 155 00:08:58,760 --> 00:09:01,640 Speaker 1: the country and create you know, bloodshed in the streets, 156 00:09:01,679 --> 00:09:04,280 Speaker 1: a blood bath in the streets. You're going to see 157 00:09:04,280 --> 00:09:07,040 Speaker 1: this over and over again. And it's unfortunately, a little 158 00:09:07,040 --> 00:09:10,640 Speaker 1: bit like advertising for a campaign that you know you 159 00:09:10,679 --> 00:09:12,280 Speaker 1: don't like, but if you hear it enough, or it's 160 00:09:12,280 --> 00:09:15,000 Speaker 1: like a song, let's say, that can get stuck in 161 00:09:15,040 --> 00:09:18,480 Speaker 1: your head. They are just hoping that the ferocity of 162 00:09:18,520 --> 00:09:22,560 Speaker 1: their anti Trump hatreod overcomes your rational or not for this, 163 00:09:22,920 --> 00:09:25,240 Speaker 1: not for you, but for enough people in this country, 164 00:09:25,559 --> 00:09:29,800 Speaker 1: overcomes their rational defenses against it, and they just start 165 00:09:29,840 --> 00:09:32,480 Speaker 1: to think, yeah, Trump must be bad, you know. And 166 00:09:32,720 --> 00:09:34,640 Speaker 1: one of the great things Clay is that they found 167 00:09:34,640 --> 00:09:38,400 Speaker 1: when they've done studies, people who speak well of other 168 00:09:38,520 --> 00:09:42,520 Speaker 1: people tend to be more well thought of themselves because 169 00:09:42,600 --> 00:09:48,040 Speaker 1: there's just a positive association that they have in people's minds. 170 00:09:48,120 --> 00:09:49,760 Speaker 1: So when you're the guy, that's true. By the way, 171 00:09:49,760 --> 00:09:51,440 Speaker 1: when the guy walks around saying, isn't so and so 172 00:09:51,559 --> 00:09:54,000 Speaker 1: doing a great job, isn't this person awesome? Isn't that 173 00:09:54,040 --> 00:09:56,480 Speaker 1: person kicking ass or being a great person or whatever. 174 00:09:57,360 --> 00:09:59,120 Speaker 1: Not only is that you know those things are true, 175 00:09:59,160 --> 00:10:01,320 Speaker 1: A nice thing to do, always good, but also the 176 00:10:01,320 --> 00:10:03,600 Speaker 1: people who hear it have a positive association with you. 177 00:10:03,720 --> 00:10:06,960 Speaker 1: This is also true of negativity. Of course, with Trump, 178 00:10:07,080 --> 00:10:09,520 Speaker 1: they're just trying to associate as much negative with him 179 00:10:09,559 --> 00:10:13,160 Speaker 1: as possible and use the megaphones they have to create 180 00:10:13,520 --> 00:10:18,280 Speaker 1: subliminal negative, frightened perception of him. Right, So it doesn't 181 00:10:18,280 --> 00:10:20,679 Speaker 1: matter whether it's true or not. They're just trying to 182 00:10:20,760 --> 00:10:22,559 Speaker 1: kind of get to the amigdala. They're trying to get 183 00:10:22,559 --> 00:10:25,160 Speaker 1: to the fight or flight. Trump bad. Trump's scary. 184 00:10:25,640 --> 00:10:28,760 Speaker 2: And I actually this is why again the bloodbath thing 185 00:10:28,880 --> 00:10:33,080 Speaker 2: to me is so troubling because think about this book, like, 186 00:10:33,160 --> 00:10:36,640 Speaker 2: let's pretend maybe English is not your native language, right, 187 00:10:37,600 --> 00:10:41,160 Speaker 2: or maybe you aren't a huge reader, but you're trying 188 00:10:41,240 --> 00:10:46,040 Speaker 2: to be informed as an American voter, and you see 189 00:10:46,080 --> 00:10:49,520 Speaker 2: all of this controversy and you think to yourself, boy, bloodbath, 190 00:10:49,720 --> 00:10:51,600 Speaker 2: I've never heard that word before. 191 00:10:52,200 --> 00:10:53,400 Speaker 1: Are you a nerd like me? 192 00:10:53,520 --> 00:10:57,480 Speaker 2: Back where for years when you would read, you would 193 00:10:57,520 --> 00:11:00,440 Speaker 2: look up words that you didn't know that you would 194 00:11:00,480 --> 00:11:03,120 Speaker 2: see in a book, like I would enjoy coming across 195 00:11:03,160 --> 00:11:04,400 Speaker 2: and it's very nerdy. 196 00:11:04,559 --> 00:11:06,760 Speaker 1: This is one. This is one nerd high five we 197 00:11:06,800 --> 00:11:10,199 Speaker 1: can one hundred percent have. I actually would get frustrated 198 00:11:10,240 --> 00:11:12,560 Speaker 1: with myself when I would read and not know a 199 00:11:12,600 --> 00:11:13,959 Speaker 1: word and I would have to stop and look it 200 00:11:14,040 --> 00:11:17,040 Speaker 1: up because a little twinge of a little twinge of 201 00:11:17,080 --> 00:11:19,520 Speaker 1: embarrassment and like, how dare I not know this word? 202 00:11:19,559 --> 00:11:19,720 Speaker 1: You know? 203 00:11:20,040 --> 00:11:23,600 Speaker 2: And I also love learning new words as a kid reading, 204 00:11:23,760 --> 00:11:25,839 Speaker 2: you know, So I would get out my dictionary and 205 00:11:25,880 --> 00:11:28,640 Speaker 2: I would regularly stop. And that's sometimes I don't know 206 00:11:28,679 --> 00:11:31,120 Speaker 2: how to pronounce these words right because the way I. 207 00:11:31,120 --> 00:11:33,320 Speaker 1: Read them, I'm not hearing them, I'm reading them. 208 00:11:33,679 --> 00:11:35,480 Speaker 2: So I have a lot of sympathy for people who 209 00:11:35,559 --> 00:11:38,200 Speaker 2: are Let's say you're sixteen and you haven't seen that 210 00:11:38,280 --> 00:11:41,520 Speaker 2: word bloodbath used and you see all the media coverage 211 00:11:41,520 --> 00:11:43,960 Speaker 2: of it. Let's say that English is not your first 212 00:11:44,040 --> 00:11:47,200 Speaker 2: language and you're trying to learn to better speak English, 213 00:11:47,240 --> 00:11:49,079 Speaker 2: and you look it up and you go to Google 214 00:11:49,320 --> 00:11:52,280 Speaker 2: because you trust Google to give you the information, and 215 00:11:52,320 --> 00:11:56,960 Speaker 2: they basically are telling you, oh, Trump is an evil dictator. 216 00:11:57,520 --> 00:11:59,960 Speaker 2: Make sure you understand it. I mean, it couldn't be 217 00:12:00,200 --> 00:12:03,839 Speaker 2: any more apparent. And to change the way that they 218 00:12:03,920 --> 00:12:10,000 Speaker 2: define the word is just so it's such an element 219 00:12:10,080 --> 00:12:17,520 Speaker 2: of dishonest subterfuge. That really is an example of how 220 00:12:17,559 --> 00:12:20,640 Speaker 2: we're not playing on an even battlefield, because this is 221 00:12:21,240 --> 00:12:23,080 Speaker 2: something that people even know happens hardly. 222 00:12:23,640 --> 00:12:27,280 Speaker 1: The two things that people will look at in America 223 00:12:27,600 --> 00:12:31,560 Speaker 1: online to figure out what is the answer the two 224 00:12:31,600 --> 00:12:34,480 Speaker 1: things that they'll google it and they'll go to Wikipedia generally, 225 00:12:34,760 --> 00:12:37,080 Speaker 1: and what you find is not only does Google. Google 226 00:12:37,120 --> 00:12:38,679 Speaker 1: is a very left wing entity. And this is what 227 00:12:38,720 --> 00:12:41,840 Speaker 1: I have been saying. Google is a bigger concern for 228 00:12:42,000 --> 00:12:44,320 Speaker 1: civil liberties and for the future of freedom in this 229 00:12:44,360 --> 00:12:46,640 Speaker 1: country than TikTok is. And I'm glad that more and 230 00:12:46,679 --> 00:12:48,560 Speaker 1: more people are coming around to see that that is 231 00:12:48,600 --> 00:12:52,000 Speaker 1: the truth. The Chinese Communist Party is a problem for 232 00:12:52,080 --> 00:12:54,520 Speaker 1: us and is an opponent for us on the world stage. 233 00:12:54,840 --> 00:12:58,320 Speaker 1: But Google is already throwing elections. Basically, that's already happening. 234 00:12:58,400 --> 00:13:00,520 Speaker 1: So you need to think more about what we do 235 00:13:00,679 --> 00:13:03,760 Speaker 1: in that context. But even on Wikipedia, Clay, and this 236 00:13:03,880 --> 00:13:06,720 Speaker 1: is true of election stuff, and you know, the Hunter 237 00:13:06,800 --> 00:13:09,480 Speaker 1: Biden laptop is a great example of it because they 238 00:13:09,520 --> 00:13:14,640 Speaker 1: didn't have the time to be subtle in the propaganda campaign, 239 00:13:15,440 --> 00:13:19,000 Speaker 1: because it was so time sensitive. When it came out, 240 00:13:19,080 --> 00:13:20,960 Speaker 1: they knew they had to just shut it down, shut 241 00:13:21,000 --> 00:13:25,559 Speaker 1: it all down. Usually they would take a, like I said, 242 00:13:25,559 --> 00:13:28,920 Speaker 1: a more sly approach to it. But on Wikipedia you'll 243 00:13:28,920 --> 00:13:32,280 Speaker 1: see on things where there's political heat. Yeah, you can 244 00:13:32,320 --> 00:13:34,880 Speaker 1: look up, you know, does a tiger have stripes? On Wikipedia? 245 00:13:34,920 --> 00:13:37,800 Speaker 1: And you'll get a true answer. Right. But on anything 246 00:13:37,800 --> 00:13:41,160 Speaker 1: that's political, they just dominate it, and there's constant rewriting. 247 00:13:41,160 --> 00:13:44,040 Speaker 1: And they had these Wikipedia editors and they'll come on 248 00:13:44,120 --> 00:13:46,199 Speaker 1: there and they'll change things around, and you can say, oh, 249 00:13:46,240 --> 00:13:48,440 Speaker 1: that's not a big deal. The number of people who 250 00:13:48,480 --> 00:13:50,960 Speaker 1: will go to Wikipedia to find out the answer to 251 00:13:51,000 --> 00:13:53,720 Speaker 1: a question versus the number of people who will go 252 00:13:54,160 --> 00:13:57,360 Speaker 1: and find a trusted hard copy book and look it 253 00:13:57,480 --> 00:14:02,480 Speaker 1: up is you know, exponently larger for the online component. 254 00:14:02,600 --> 00:14:06,800 Speaker 1: So we are all being conditioned by these Internet portals, 255 00:14:06,880 --> 00:14:10,600 Speaker 1: and we're all being convinced of things that are not true. 256 00:14:10,679 --> 00:14:11,240 Speaker 1: Day by day. 257 00:14:11,760 --> 00:14:14,280 Speaker 2: My wife looked up my Wikipedia page the other day 258 00:14:14,679 --> 00:14:17,400 Speaker 2: and she was like, there's a lot of inaccuracy on there, 259 00:14:17,840 --> 00:14:20,240 Speaker 2: and I haven't even looked at it, but it's funny. 260 00:14:20,640 --> 00:14:23,520 Speaker 2: She looked at it, and she was just kind of curious, 261 00:14:23,640 --> 00:14:25,360 Speaker 2: just like, I wonder what they say about you on there? 262 00:14:25,560 --> 00:14:27,800 Speaker 2: Did they not call you the world's handsomest man? And 263 00:14:28,200 --> 00:14:31,720 Speaker 2: that's an outrouch. If they did call me the world's 264 00:14:31,760 --> 00:14:34,120 Speaker 2: handsomest man, she probably would have gone in and edited 265 00:14:34,120 --> 00:14:37,720 Speaker 2: it and it said he's mediocre at best. This is 266 00:14:37,760 --> 00:14:41,120 Speaker 2: my wife, who, by the way, says she's an incredible driver, 267 00:14:41,280 --> 00:14:44,200 Speaker 2: twice the driver that I am. Just to reinforce that, Buck, 268 00:14:44,280 --> 00:14:46,560 Speaker 2: you know, the NCAA tournament's going on right now. You 269 00:14:46,640 --> 00:14:48,080 Speaker 2: got to get a bracket. You got to fill it 270 00:14:48,080 --> 00:14:50,840 Speaker 2: out right now. Literally it's tipping off as we speak. 271 00:14:51,560 --> 00:14:53,920 Speaker 2: And I have got a winner. I want everybody to 272 00:14:53,920 --> 00:14:56,720 Speaker 2: get your pins and paper and everything else. 273 00:14:57,160 --> 00:15:00,480 Speaker 1: I have got a prize picks win for all of you. 274 00:15:00,200 --> 00:15:03,160 Speaker 2: You're in Texas, Buck, you can play in Texas. You 275 00:15:03,200 --> 00:15:08,520 Speaker 2: can play in California, you can play in Georgia. Six picks, 276 00:15:08,680 --> 00:15:13,360 Speaker 2: all right, Caleb Love more than eight. These are all 277 00:15:13,440 --> 00:15:16,680 Speaker 2: games that are being played today there later in the day, 278 00:15:16,840 --> 00:15:19,920 Speaker 2: so you can get all of these in this. If 279 00:15:19,960 --> 00:15:22,960 Speaker 2: we hit on all six of these, it pays out 280 00:15:22,960 --> 00:15:24,160 Speaker 2: at like one hundred to one. 281 00:15:24,320 --> 00:15:26,320 Speaker 1: All right, So this is a little bit of a flyer. 282 00:15:27,000 --> 00:15:30,800 Speaker 2: Caleb Love more than eighteen and a half points. By 283 00:15:30,800 --> 00:15:33,440 Speaker 2: the way, somebody on clayandbuck dot com get their pin 284 00:15:33,560 --> 00:15:38,440 Speaker 2: and write this down too Muchie Johnson more than twelve 285 00:15:38,520 --> 00:15:42,960 Speaker 2: and a half points. Reed Shepherd, star freshman for the 286 00:15:43,040 --> 00:15:46,840 Speaker 2: University of Kentucky more than twelve and a half points. 287 00:15:47,400 --> 00:15:50,600 Speaker 2: Zachai Ziggler, point guard for Tennessee. I probably should have 288 00:15:50,600 --> 00:15:52,120 Speaker 2: been telling you who these guys play for from the 289 00:15:52,120 --> 00:15:56,760 Speaker 2: get go points, rebounds, assist more than twenty two and 290 00:15:56,760 --> 00:16:01,880 Speaker 2: a half, DJ Burns of NCC State more than twelve 291 00:16:01,960 --> 00:16:06,440 Speaker 2: and a half points, and then Hunter Dickinson of Kansas 292 00:16:06,480 --> 00:16:10,560 Speaker 2: more than nineteen and a half points. There are six 293 00:16:10,640 --> 00:16:14,000 Speaker 2: of these. I will tweet this. I already tweeted this out. 294 00:16:14,000 --> 00:16:16,200 Speaker 2: I'll retweet it for all of you. I'll go find 295 00:16:16,200 --> 00:16:18,680 Speaker 2: it in my feed and you can go grab this. 296 00:16:19,320 --> 00:16:21,680 Speaker 2: I believe somebody do the math. I think this pays 297 00:16:21,680 --> 00:16:25,200 Speaker 2: off at one hundred to one if all of these six. 298 00:16:25,360 --> 00:16:29,160 Speaker 2: Hit you bet ten dollars, you're gonna like it may 299 00:16:29,160 --> 00:16:30,960 Speaker 2: not be one hundred, it might be fifty to one. 300 00:16:31,040 --> 00:16:32,680 Speaker 1: I'm not great at math. You're gonna make a ton 301 00:16:32,720 --> 00:16:33,320 Speaker 1: of money back. 302 00:16:33,760 --> 00:16:36,640 Speaker 2: You put down ten, You're gonna win like one hundred 303 00:16:36,680 --> 00:16:38,840 Speaker 2: and fifty or two hundred dollars or whatever the heck. 304 00:16:38,880 --> 00:16:41,160 Speaker 2: It is thirty to one, forty to one, fifty to one, 305 00:16:41,200 --> 00:16:44,000 Speaker 2: it might be one hundred, one hundred to one. Caleb 306 00:16:44,080 --> 00:16:48,040 Speaker 2: Love more than eighteen and a half points, Moochie Johnson 307 00:16:48,320 --> 00:16:51,120 Speaker 2: more than twelve and a half, Reed Shepherd more than 308 00:16:51,160 --> 00:16:54,160 Speaker 2: twelve and a half. Zekai Ziggler more than twenty two 309 00:16:54,240 --> 00:16:57,160 Speaker 2: and a half on points, rebounds and assists. DJ Burns 310 00:16:57,160 --> 00:16:59,760 Speaker 2: more than twelve and a half points. Hunter Dickinson more 311 00:16:59,800 --> 00:17:02,480 Speaker 2: than nineteen and a half points. Gonna make everybody rich. 312 00:17:02,520 --> 00:17:04,840 Speaker 2: We're gonna hit on this today, all right. I'm gonna 313 00:17:04,880 --> 00:17:07,399 Speaker 2: share it on my Twitter feed at Clay Travis. I 314 00:17:07,520 --> 00:17:10,320 Speaker 2: might as well have just shared Sanskrit. Buck has no 315 00:17:10,400 --> 00:17:12,720 Speaker 2: idea what's going on, but I have just made you 316 00:17:12,760 --> 00:17:16,199 Speaker 2: all rich. This is the play for you. On the 317 00:17:16,200 --> 00:17:18,879 Speaker 2: Thursday of the NC DOUBLEA Tournament, go sign up for 318 00:17:19,000 --> 00:17:22,200 Speaker 2: prize Picks. You get one hundred dollars if you sign 319 00:17:22,280 --> 00:17:24,560 Speaker 2: up today. You can have some fun with the NC 320 00:17:24,680 --> 00:17:29,960 Speaker 2: doublea tournament action Prizepicks dot com. That's prizepicks dot com. 321 00:17:30,080 --> 00:17:32,840 Speaker 2: Use my name Clay. They'll give you one hundred dollars 322 00:17:33,040 --> 00:17:34,520 Speaker 2: if you deposit one hundred. 323 00:17:35,280 --> 00:17:40,240 Speaker 1: Sanity in an Insane World, the Clay Travis and Buck 324 00:17:40,320 --> 00:17:42,800 Speaker 1: Sexton Show. All right, welcome back into Clay and Buck. 325 00:17:42,840 --> 00:17:45,239 Speaker 1: We'll be coming back in just a moment with a 326 00:17:45,240 --> 00:17:49,600 Speaker 1: bit on the Biden debt relief for students plan and 327 00:17:49,680 --> 00:17:52,359 Speaker 1: also the border. So that's all in just a moment. 328 00:17:52,400 --> 00:17:55,760 Speaker 1: And in the meantime, Pure Talk, my friends, that is 329 00:17:55,760 --> 00:17:58,360 Speaker 1: the cell phone company you need to have. Pure Talk. 330 00:17:58,480 --> 00:18:02,040 Speaker 1: We'll get you a free Samsung five G for those 331 00:18:02,119 --> 00:18:05,119 Speaker 1: who make the switch to Puretalk right now. 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Welcome back in Clay and Buck. So 351 00:19:03,240 --> 00:19:10,400 Speaker 1: we've got Biden in Houston, Buck in Houston. Coincidence, Yes, definitely, 352 00:19:10,400 --> 00:19:13,320 Speaker 1: it is actually just a coincidence. But Biden is here 353 00:19:13,359 --> 00:19:17,679 Speaker 1: today Clay in the great city of Houston, and he 354 00:19:17,840 --> 00:19:22,920 Speaker 1: is trying to raise as much money as he possibly can. 355 00:19:23,720 --> 00:19:27,640 Speaker 1: This is a place where Democrats have done well, bringing 356 00:19:27,680 --> 00:19:32,560 Speaker 1: together some some big donors. Twenty twenty Texas donors gave 357 00:19:32,760 --> 00:19:35,400 Speaker 1: one hundred more than one hundred and eight million dollars 358 00:19:35,400 --> 00:19:39,080 Speaker 1: to the two presidential campaigns the only places with more. Well, 359 00:19:39,119 --> 00:19:42,480 Speaker 1: this is also corresponds with population pretty much, although I 360 00:19:42,480 --> 00:19:44,080 Speaker 1: wonder if Florida will be in the top three now 361 00:19:44,160 --> 00:19:46,840 Speaker 1: New York with one hundred and forty one million. California 362 00:19:47,640 --> 00:19:52,240 Speaker 1: gave two hundred and ninety million dollars to the presidential campaigns. 363 00:19:52,480 --> 00:19:55,040 Speaker 1: It's according to the Houston Chronicle back in twenty twenty. 364 00:19:55,480 --> 00:19:58,800 Speaker 1: So I think it has shifted by the way, someone 365 00:19:58,840 --> 00:20:01,439 Speaker 1: who lives in Florida, I think that it used to 366 00:20:01,440 --> 00:20:05,160 Speaker 1: be even if you were a Republican, the big three 367 00:20:05,480 --> 00:20:09,800 Speaker 1: for fundraising would be California, New York, Texas. I think 368 00:20:09,880 --> 00:20:12,600 Speaker 1: you've got to have Florida in there for Republicans now, 369 00:20:12,680 --> 00:20:15,879 Speaker 1: I mean because Trump lives at mar A Lago and 370 00:20:15,960 --> 00:20:21,200 Speaker 1: it really is his you know, white House interregnum or 371 00:20:21,280 --> 00:20:25,280 Speaker 1: White House in exile, if you will. There's a tremendous 372 00:20:25,320 --> 00:20:27,959 Speaker 1: amount of events going on in Palm Beach and that 373 00:20:28,000 --> 00:20:32,840 Speaker 1: whole area where they're raising a lot of money. But yeah, 374 00:20:32,960 --> 00:20:36,320 Speaker 1: Biden's down here raising cash. I'm down here to give 375 00:20:36,359 --> 00:20:38,960 Speaker 1: a speech. I will not be raising cash for Joe Biden. 376 00:20:39,040 --> 00:20:41,879 Speaker 1: That is not a surprise, but I wanted to here's 377 00:20:41,960 --> 00:20:46,120 Speaker 1: Biden and this was in Phoenix. So he's out there 378 00:20:46,119 --> 00:20:49,399 Speaker 1: and he's making the rounds folks. You know, he's looking 379 00:20:49,440 --> 00:20:51,600 Speaker 1: like a guy who thinks he's running for president. I'm 380 00:20:51,640 --> 00:20:53,440 Speaker 1: just saying, just say it. I had a very expensive 381 00:20:53,440 --> 00:20:55,800 Speaker 1: steak last night, Clay, but I didn't go a five 382 00:20:55,880 --> 00:21:00,560 Speaker 1: wag you because you know it's very pricey. Soel we're 383 00:21:00,640 --> 00:21:03,200 Speaker 1: saving that for me, saving that for the Travis Oh yeah, 384 00:21:03,280 --> 00:21:06,720 Speaker 1: Travis bill expence. They priced those by the ounce, my friend, 385 00:21:06,720 --> 00:21:08,239 Speaker 1: that's all you need to know. When they say what 386 00:21:08,280 --> 00:21:11,000 Speaker 1: the price pernounces, get ready to take your calculator out. 387 00:21:11,000 --> 00:21:15,320 Speaker 1: It gets expensive. Biden, though, was in Phoenix, and here 388 00:21:15,400 --> 00:21:19,640 Speaker 1: he is. He's in a Mexican restaurants, Mexican food in Phoenix. 389 00:21:19,720 --> 00:21:21,399 Speaker 1: Here's what he says. This is twelve play it. 390 00:21:21,560 --> 00:21:25,440 Speaker 3: This election is is not a reference on me. It's 391 00:21:25,480 --> 00:21:30,119 Speaker 3: an election between me and a guy named Trump and 392 00:21:29,280 --> 00:21:33,520 Speaker 3: h and uh this is a guy who U who's 393 00:21:33,680 --> 00:21:37,520 Speaker 3: The way he talks about the Latino community is well. 394 00:21:38,560 --> 00:21:41,399 Speaker 3: In twenty sixteen, he called Latino's criminal drug dealers and 395 00:21:41,480 --> 00:21:44,320 Speaker 3: rapists when he came down to the escalator. Now he 396 00:21:44,400 --> 00:21:48,440 Speaker 3: says immigrants are poisoning the blood of our country. You're 397 00:21:48,480 --> 00:21:51,600 Speaker 3: the reason why in large part I beat Donald Trump. 398 00:21:51,760 --> 00:21:52,280 Speaker 3: I need you. 399 00:21:52,400 --> 00:21:55,840 Speaker 1: I need you badly. Play. First of all, he's lying, 400 00:21:55,960 --> 00:21:58,600 Speaker 1: and it's not like, yeah, he's lying about everything Trump said, 401 00:21:58,600 --> 00:22:01,960 Speaker 1: which is which is not I think a surprise at all. 402 00:22:02,040 --> 00:22:04,640 Speaker 1: But I also thought it was very telling the way 403 00:22:04,680 --> 00:22:07,040 Speaker 1: that he sets this all up. He goes, there's not 404 00:22:07,040 --> 00:22:09,720 Speaker 1: a referendum on me. Yeah. What he's saying is, look, 405 00:22:10,080 --> 00:22:11,840 Speaker 1: we all know that I kind of stink, right like 406 00:22:11,880 --> 00:22:14,000 Speaker 1: we all know that I, Joe Biden am not good. 407 00:22:14,600 --> 00:22:16,479 Speaker 1: But the other guy is the end of the world. 408 00:22:16,560 --> 00:22:18,639 Speaker 1: So give me your vote. That's what he's saying on 409 00:22:18,680 --> 00:22:19,560 Speaker 1: the campaign trail. 410 00:22:19,960 --> 00:22:23,080 Speaker 2: Well, and this is why ultimately this race to me 411 00:22:24,000 --> 00:22:26,159 Speaker 2: is well, it's unique in that it's a battle of 412 00:22:26,160 --> 00:22:28,440 Speaker 2: two incumbents. But you're talking about all the money that's 413 00:22:28,480 --> 00:22:31,800 Speaker 2: being raised. I don't know the money's going to matter 414 00:22:31,840 --> 00:22:36,640 Speaker 2: that much. And I understand there's going to be billions 415 00:22:36,680 --> 00:22:40,919 Speaker 2: of dollars spent on this election, and the campaigns are 416 00:22:40,960 --> 00:22:44,720 Speaker 2: going to throw cash like crazy. How many people don't 417 00:22:44,760 --> 00:22:47,680 Speaker 2: know what they think of Donald Trump at this point, 418 00:22:47,920 --> 00:22:50,080 Speaker 2: even with all the lies, as you heard Joe Biden, 419 00:22:50,119 --> 00:22:53,480 Speaker 2: they're saying, oh, he said that Latino is a rape No. No, 420 00:22:54,080 --> 00:22:57,720 Speaker 2: he said, some of the illegal immigrants that are coming 421 00:22:57,760 --> 00:23:02,000 Speaker 2: across our border are rape to send criminals. And it 422 00:23:02,240 --> 00:23:06,680 Speaker 2: is true that many of these countries are opening up 423 00:23:06,680 --> 00:23:12,960 Speaker 2: their prisons and allowing people to leave who are undesirable 424 00:23:13,080 --> 00:23:16,560 Speaker 2: in those countries, and they're coming across our southern border. 425 00:23:16,600 --> 00:23:21,000 Speaker 2: I mean, we know that we have found hundreds of 426 00:23:21,119 --> 00:23:24,320 Speaker 2: people illegally crossing our southern border who were on our 427 00:23:24,440 --> 00:23:27,600 Speaker 2: terrorist watch list. So he's not saying all Latino people 428 00:23:27,920 --> 00:23:30,880 Speaker 2: are are criminals and rapists. I mean, that's just such 429 00:23:30,920 --> 00:23:33,439 Speaker 2: a flagrant lie. But some Latinos are just like some 430 00:23:33,520 --> 00:23:35,359 Speaker 2: white people and black people and Asian people. 431 00:23:35,560 --> 00:23:37,439 Speaker 1: And I think people are seeing through this. 432 00:23:37,359 --> 00:23:42,240 Speaker 2: Buck And ultimately what's happening is they sold everybody of 433 00:23:42,320 --> 00:23:46,919 Speaker 2: Billy Goods on Joe Biden in twenty twenty, Grandpa Joe likable, 434 00:23:47,400 --> 00:23:51,400 Speaker 2: easy going, moderate, He's going to bring the country back 435 00:23:51,480 --> 00:23:56,040 Speaker 2: to normalcy. And it failed. And I still believe if 436 00:23:56,080 --> 00:24:00,280 Speaker 2: COVID hadn't happened in March of twenty twenty, Trump have 437 00:24:00,320 --> 00:24:04,320 Speaker 2: beaten Biden and we would have a new race going 438 00:24:04,359 --> 00:24:06,879 Speaker 2: on right now where Biden would have never been president 439 00:24:07,560 --> 00:24:10,280 Speaker 2: and Trump would be serving out the end of his term, 440 00:24:10,720 --> 00:24:12,640 Speaker 2: and we'd have a brand new Democrat and a brand 441 00:24:12,680 --> 00:24:15,320 Speaker 2: new Republican representing us all right now as we get 442 00:24:15,320 --> 00:24:16,840 Speaker 2: ready for twenty twenty four. 443 00:24:17,200 --> 00:24:18,919 Speaker 1: I think that's what would have happened. 444 00:24:19,720 --> 00:24:22,720 Speaker 2: But I think what's happening in America right now is 445 00:24:22,800 --> 00:24:25,480 Speaker 2: they're desperate, first of all. And I was gonna mention 446 00:24:25,560 --> 00:24:28,320 Speaker 2: this because I saw the headline The abortion thing I 447 00:24:28,400 --> 00:24:32,600 Speaker 2: don't think is registry. So if you're Biden, there are 448 00:24:32,720 --> 00:24:35,560 Speaker 2: three things I think that they're going to try to say. 449 00:24:35,960 --> 00:24:39,800 Speaker 2: One is that abortion, like they're going to take away 450 00:24:39,920 --> 00:24:42,240 Speaker 2: your ability to have an abortion. I don't need to 451 00:24:42,359 --> 00:24:46,439 Speaker 2: have a huge abortion debate here, but the number of 452 00:24:46,480 --> 00:24:50,879 Speaker 2: abortions buck in twenty twenty three actually went up, and 453 00:24:50,960 --> 00:24:53,560 Speaker 2: I think is at the highest level since twenty twelve. 454 00:24:54,160 --> 00:24:58,000 Speaker 2: Now some states are restricting abortion, but people who want 455 00:24:58,040 --> 00:25:00,440 Speaker 2: to get abortions are going to states where they actually 456 00:25:00,480 --> 00:25:05,199 Speaker 2: have more lenient standards on abortions. So the actual number 457 00:25:05,280 --> 00:25:08,840 Speaker 2: of abortions, according to a study that I read, has 458 00:25:08,880 --> 00:25:10,639 Speaker 2: gone up. So if you're a woman out there and 459 00:25:10,680 --> 00:25:13,000 Speaker 2: you're like, oh my god, they're gonna show up knocking 460 00:25:13,040 --> 00:25:14,959 Speaker 2: on my door and they're gonna put me in prison, 461 00:25:15,000 --> 00:25:17,560 Speaker 2: and they're gonna put my daughter in prison. That just 462 00:25:17,600 --> 00:25:24,320 Speaker 2: doesn't work. January sixth. It ain't working. It's not working 463 00:25:24,400 --> 00:25:27,840 Speaker 2: because they already have tried that. So those two fail, 464 00:25:28,440 --> 00:25:31,040 Speaker 2: then they have to just come back to Donald Trump 465 00:25:31,160 --> 00:25:34,800 Speaker 2: is Hitler, and I don't think any of those three 466 00:25:34,880 --> 00:25:37,560 Speaker 2: are gonna work. And notice what none of them do, 467 00:25:38,080 --> 00:25:40,439 Speaker 2: None of them sell. Joe Biden has done a good 468 00:25:40,520 --> 00:25:42,080 Speaker 2: job as President of the United sloss. 469 00:25:42,480 --> 00:25:46,520 Speaker 1: Even Joe Biden isn't making that a central part of 470 00:25:46,520 --> 00:25:49,680 Speaker 1: his campaign. Right. That's when you're the president and you're 471 00:25:49,720 --> 00:25:52,240 Speaker 1: basically saying, look, I'm not great, but the other guy 472 00:25:52,280 --> 00:25:53,760 Speaker 1: will destroy the world. 473 00:25:53,520 --> 00:25:56,280 Speaker 2: And the other guy in the Hitler I'm not perfect, 474 00:25:56,280 --> 00:25:57,760 Speaker 2: but the other guy is Adolf Hitler. 475 00:25:58,080 --> 00:26:00,239 Speaker 1: But the other way that he can go is is 476 00:26:00,280 --> 00:26:02,720 Speaker 1: to try We mentioned and I know it was in 477 00:26:02,880 --> 00:26:06,600 Speaker 1: passing because it doesn't it's not a story you can, 478 00:26:06,800 --> 00:26:09,160 Speaker 1: you know, easily just dive into. It's not a blaring 479 00:26:09,200 --> 00:26:13,560 Speaker 1: headline thing. But to bring down the to to have 480 00:26:13,720 --> 00:26:16,640 Speaker 1: several interest rate cuts between now in the election day. 481 00:26:17,160 --> 00:26:20,560 Speaker 1: This is meant to make the economy seem stronger than 482 00:26:20,600 --> 00:26:22,359 Speaker 1: it is and to make people feel like they have 483 00:26:22,440 --> 00:26:25,320 Speaker 1: more money in the short term than they actually do 484 00:26:25,400 --> 00:26:28,560 Speaker 1: because it's going to also Uh one, they haven't been 485 00:26:28,600 --> 00:26:30,399 Speaker 1: able to really tame inflation the way they want to, 486 00:26:30,480 --> 00:26:32,440 Speaker 1: and two they're going to continue to pile up debt. 487 00:26:32,880 --> 00:26:35,080 Speaker 1: So it's not like they've they conquered the problem. But 488 00:26:35,119 --> 00:26:37,400 Speaker 1: it's a it's a it's you know, putting a new 489 00:26:37,440 --> 00:26:39,560 Speaker 1: code of paint on a rusty car. I mean, it's 490 00:26:39,600 --> 00:26:42,320 Speaker 1: trying to make it seem like things are better than 491 00:26:42,320 --> 00:26:44,520 Speaker 1: they are. But that will have some residents. I think 492 00:26:44,560 --> 00:26:47,239 Speaker 1: that will work to some degree. And then also you 493 00:26:47,280 --> 00:26:50,680 Speaker 1: have this just today the news from today President Biden 494 00:26:50,720 --> 00:26:56,359 Speaker 1: announcing six billion dollars in student loans canceled, which isn't 495 00:26:56,600 --> 00:26:59,679 Speaker 1: even it just means transferred to the taxpayer, but anyway, 496 00:26:59,760 --> 00:27:03,240 Speaker 1: cancer for seventy eight thousand borrowers, which means that his 497 00:27:03,280 --> 00:27:08,960 Speaker 1: administration's total student debt cancelation clay is reaching close to 498 00:27:09,880 --> 00:27:14,280 Speaker 1: one hundred and fifty billion dollars. Now, when you give 499 00:27:15,040 --> 00:27:18,520 Speaker 1: a lot of people a lot of money, you will 500 00:27:18,760 --> 00:27:22,600 Speaker 1: engender you will create a loyalty in that voting block. 501 00:27:23,200 --> 00:27:25,280 Speaker 1: And I think that this is one of the ways 502 00:27:25,320 --> 00:27:27,560 Speaker 1: that they believe they can make up the gap because 503 00:27:27,960 --> 00:27:31,600 Speaker 1: as bad as Biden is, all the national polling is showing, 504 00:27:31,640 --> 00:27:33,520 Speaker 1: you know, it's within a couple of points here, within 505 00:27:33,600 --> 00:27:37,000 Speaker 1: a couple points there, and those swing states they think 506 00:27:37,040 --> 00:27:39,840 Speaker 1: they could turn, I think, given the machinery of the 507 00:27:39,880 --> 00:27:43,679 Speaker 1: Democrat Party. So they're basically handing out taxpayer money to 508 00:27:43,680 --> 00:27:46,639 Speaker 1: people and saying, here, you go vote Biden. 509 00:27:47,400 --> 00:27:51,640 Speaker 2: And they're also to your point, buck, if they get 510 00:27:51,680 --> 00:27:55,359 Speaker 2: struck down, as they should, what do they say, we. 511 00:27:55,320 --> 00:27:56,040 Speaker 1: Tried to do it. 512 00:27:56,160 --> 00:28:00,280 Speaker 2: That awful Supreme Court featuring Trump appointees wouldn't allow us 513 00:28:00,320 --> 00:28:04,399 Speaker 2: to do it. Uh, And that is the angle under 514 00:28:04,440 --> 00:28:09,400 Speaker 2: which they're going to be trying to claim for that, Yeah, 515 00:28:09,440 --> 00:28:15,240 Speaker 2: that Biden's the savior. Four million Americans are getting debt 516 00:28:15,280 --> 00:28:19,520 Speaker 2: cancelation benefits from Biden, and the constitutionality of a lot 517 00:28:19,520 --> 00:28:22,320 Speaker 2: of this is super sketchy. Some of it has already 518 00:28:22,320 --> 00:28:24,919 Speaker 2: been found unconstitutional. But put that aside for a moment. 519 00:28:25,440 --> 00:28:30,040 Speaker 1: Claiming four million people who may become single issue voters 520 00:28:30,080 --> 00:28:32,680 Speaker 1: on this right, they'll they're all adults that have these loans, 521 00:28:32,720 --> 00:28:34,960 Speaker 1: so it's not like they're there are a non voting 522 00:28:35,000 --> 00:28:38,440 Speaker 1: block contingent of students here. And it reminds me a 523 00:28:38,480 --> 00:28:40,720 Speaker 1: little bit of why you can't get rid of rent 524 00:28:40,760 --> 00:28:42,960 Speaker 1: control in New York City. You know why you can't 525 00:28:42,960 --> 00:28:44,920 Speaker 1: get rid of rent control in New York City if 526 00:28:44,960 --> 00:28:49,040 Speaker 1: you're working in the city legislature, you're the mayor. Anybody 527 00:28:49,040 --> 00:28:52,160 Speaker 1: who says get rid of rent control, they have basically 528 00:28:52,160 --> 00:28:55,120 Speaker 1: a million people who will show up and do anything 529 00:28:55,160 --> 00:28:57,800 Speaker 1: they can to keep their rent control benefits. They will 530 00:28:57,880 --> 00:28:59,720 Speaker 1: vote for anyone, they will they will do, they will 531 00:28:59,720 --> 00:29:03,200 Speaker 1: put it immobilized in an instant because they view it 532 00:29:03,200 --> 00:29:07,320 Speaker 1: as so important to their bottom line financially. Look at 533 00:29:07,320 --> 00:29:09,480 Speaker 1: the debt the people to four million Americans who think 534 00:29:09,480 --> 00:29:11,760 Speaker 1: that Biden's doing the same for them with their student loans. 535 00:29:12,160 --> 00:29:16,240 Speaker 2: I even would point to this story as being one 536 00:29:16,400 --> 00:29:21,840 Speaker 2: where Democrats have mastered the language. It isn't student loan forgiveness. 537 00:29:22,480 --> 00:29:26,040 Speaker 2: It's just student loan shifting of a obligation. 538 00:29:26,320 --> 00:29:31,640 Speaker 1: Right. The loan doesn't vanish. The loan just moves from the. 539 00:29:31,600 --> 00:29:34,680 Speaker 2: Person who actually took it out to you and me 540 00:29:34,760 --> 00:29:37,160 Speaker 2: and everybody else out there who were tax payers. I mean, 541 00:29:37,160 --> 00:29:40,600 Speaker 2: I paid off my student loans, but now I'm going 542 00:29:40,640 --> 00:29:41,200 Speaker 2: to have more. 543 00:29:41,720 --> 00:29:45,080 Speaker 1: If you went clay to buy a crash helmet for 544 00:29:45,240 --> 00:29:48,240 Speaker 1: you and for Laura for when you are driving. Right, 545 00:29:48,320 --> 00:29:51,200 Speaker 1: so you're going to both put helmets on. Use your 546 00:29:51,200 --> 00:29:53,120 Speaker 1: credit card. I love it. You just let me get 547 00:29:53,120 --> 00:29:55,360 Speaker 1: away with this too. By the way, use your credit card. 548 00:29:55,640 --> 00:29:58,560 Speaker 1: The credit card company pays for those helmets. If you 549 00:29:58,600 --> 00:30:02,240 Speaker 1: turn around, you say, hey, just forgive, Hey, credit card company, 550 00:30:02,320 --> 00:30:07,080 Speaker 1: just forgive my crash helmet purchase. They could say, yeah, 551 00:30:07,160 --> 00:30:09,440 Speaker 1: but what they're doing is just a transfer of wealth 552 00:30:09,440 --> 00:30:12,680 Speaker 1: from them to you. That's all that's and they're doing that, 553 00:30:12,760 --> 00:30:15,600 Speaker 1: except as with a taxpayer. People took out a loan, 554 00:30:15,920 --> 00:30:19,600 Speaker 1: they said they would pay it back, and now they're saying, actually, 555 00:30:19,640 --> 00:30:23,240 Speaker 1: the taxpayers are the ones who funded this loan. Therefore 556 00:30:23,720 --> 00:30:26,200 Speaker 1: I get to socialize these costs and get the benefit 557 00:30:26,200 --> 00:30:26,760 Speaker 1: for myself. 558 00:30:27,200 --> 00:30:30,360 Speaker 2: No doubt. It's just a transparent lie. And again to me, 559 00:30:30,520 --> 00:30:34,640 Speaker 2: it's evidence of how democrats control language and often get 560 00:30:34,760 --> 00:30:38,720 Speaker 2: you to compete on their playing field. It's not loan forgiveness, 561 00:30:39,120 --> 00:30:44,320 Speaker 2: its loan obligation shifted to taxpayers. Remember, over half of 562 00:30:44,480 --> 00:30:48,760 Speaker 2: all Americans don't pay a single dollar in federal income tax. 563 00:30:48,920 --> 00:30:53,840 Speaker 2: That's a crazy stat How is that not known by everyone? 564 00:30:54,480 --> 00:30:57,480 Speaker 2: Because they want you to think that rich people don't 565 00:30:57,480 --> 00:31:01,360 Speaker 2: pay their fair share again, which is powerful. Just look 566 00:31:01,360 --> 00:31:04,640 Speaker 2: at what Google did when it came to how to 567 00:31:04,680 --> 00:31:07,400 Speaker 2: define bloodpath. Look, I want to tell you by the 568 00:31:07,440 --> 00:31:10,160 Speaker 2: way I'm wearing speaking of bloodbath and those of you 569 00:31:10,240 --> 00:31:13,400 Speaker 2: watching on television right now, I'm wearing my blood bank 570 00:31:13,480 --> 00:31:14,560 Speaker 2: guarantee T shirt. 571 00:31:14,800 --> 00:31:16,440 Speaker 1: So when I saw Bloodbath. 572 00:31:16,000 --> 00:31:17,880 Speaker 2: Making the news, I'm like, I'm been arguing blood bank 573 00:31:17,880 --> 00:31:20,160 Speaker 2: guarantees for a long time. Those are gambling picks. By 574 00:31:20,200 --> 00:31:22,080 Speaker 2: the way that I jokingly have been saying, you should 575 00:31:22,080 --> 00:31:23,959 Speaker 2: sell your blood and use the money you make from it. 576 00:31:24,160 --> 00:31:27,560 Speaker 2: That's my blood bank guarantee. Nine to eleven. More than 577 00:31:27,600 --> 00:31:29,400 Speaker 2: a day in history, it's a day that's still taking 578 00:31:29,440 --> 00:31:34,160 Speaker 2: lives most. It's sad more first responders have died since 579 00:31:34,280 --> 00:31:37,240 Speaker 2: the day from their illnesses than on that day. Yet 580 00:31:37,280 --> 00:31:39,479 Speaker 2: only two states in the nation have passed laws that 581 00:31:39,520 --> 00:31:42,080 Speaker 2: require all students K through twelve to learn about nine 582 00:31:42,080 --> 00:31:45,000 Speaker 2: to eleven. A whole generation of kids knows little to 583 00:31:45,080 --> 00:31:48,280 Speaker 2: nothing about that day. Just think about it. Tunnel the Towers. 584 00:31:48,360 --> 00:31:51,200 Speaker 2: Nine to eleven institutes righting the wrong by helping teachers 585 00:31:51,360 --> 00:31:55,640 Speaker 2: educate kids in grades K through twelve with nonfiction resources 586 00:31:55,880 --> 00:32:00,000 Speaker 2: that includes full curriculum units with scripted social studies, less 587 00:32:00,080 --> 00:32:04,000 Speaker 2: into activities and background for teachers. There's a book series 588 00:32:04,040 --> 00:32:08,440 Speaker 2: one called Discovering Heroes, non fiction first person accounts told 589 00:32:08,520 --> 00:32:12,640 Speaker 2: through video. Not to mention, Speaker Bureau for Classrooms, Mobile exhibit, 590 00:32:12,720 --> 00:32:16,960 Speaker 2: tractor trailer, interactive museum with nine to eleven artifacts to 591 00:32:17,080 --> 00:32:21,000 Speaker 2: never forget. We must educate future generations, help our nation 592 00:32:21,160 --> 00:32:24,200 Speaker 2: keep its valve. Join us in donating eleven dollars a 593 00:32:24,240 --> 00:32:26,640 Speaker 2: month to tunnel the Towers at T two t dot org. 594 00:32:26,880 --> 00:32:29,480 Speaker 2: That's t the number two t dot org. 595 00:32:30,400 --> 00:32:33,920 Speaker 1: Twenty four on You podcast from Clay and Buck. 596 00:32:33,800 --> 00:32:38,120 Speaker 2: Covering all things Election episodes drum Sundays at noon Eastern. 597 00:32:38,160 --> 00:32:40,960 Speaker 2: Find it on the free iHeartRadio app or wherever you 598 00:32:41,040 --> 00:32:46,640 Speaker 2: get your podcasts. Welcome Back in Clay, Travis Buck Sexton Show, Houston, 599 00:32:46,840 --> 00:32:50,800 Speaker 2: Get Buck a bracket stat I won't tell you how 600 00:32:50,800 --> 00:32:53,760 Speaker 2: the games are going, but they are well underway now 601 00:32:53,800 --> 00:32:56,360 Speaker 2: two of the Michigan State Mississippi State. 602 00:32:56,440 --> 00:33:00,480 Speaker 1: The Battle of MSUs Ducaine BYU is underway. 603 00:33:00,600 --> 00:33:03,080 Speaker 2: Shout out, But did this never happen at Regis where 604 00:33:03,080 --> 00:33:05,520 Speaker 2: you went to high school? When I was in high 605 00:33:05,560 --> 00:33:08,719 Speaker 2: school in the nineties the greatest decade that's ever existed 606 00:33:08,720 --> 00:33:09,840 Speaker 2: in the history of mankind. 607 00:33:10,040 --> 00:33:10,400 Speaker 1: Humbly. 608 00:33:11,840 --> 00:33:16,200 Speaker 2: We had awesome teachers at Martin Luther King Magnet High School. 609 00:33:16,640 --> 00:33:19,520 Speaker 1: Where I went to school, that would do you remember. 610 00:33:19,240 --> 00:33:21,000 Speaker 2: Back in the day when they would roll in We 611 00:33:21,040 --> 00:33:23,600 Speaker 2: didn't have televisions in the classrooms really, but we had 612 00:33:23,640 --> 00:33:25,720 Speaker 2: a lot of the mobile televisions, you know, like the 613 00:33:25,800 --> 00:33:29,000 Speaker 2: GM teachers would have and stuff and they would roll 614 00:33:29,000 --> 00:33:29,320 Speaker 2: that in. 615 00:33:29,360 --> 00:33:31,800 Speaker 1: You know, the teacher always put the movie on or whatever. 616 00:33:31,840 --> 00:33:35,000 Speaker 2: And that was the best day of the year when 617 00:33:35,000 --> 00:33:37,240 Speaker 2: you would walk into a classroom in one of your 618 00:33:37,320 --> 00:33:40,960 Speaker 2: cool teachers would allow you to watch the NCAA Tournament 619 00:33:41,040 --> 00:33:44,360 Speaker 2: games on Thursday and Friday, which always started around eleven 620 00:33:44,480 --> 00:33:47,480 Speaker 2: fifteen am Central time in the Nashville area. This didn't 621 00:33:47,480 --> 00:33:50,240 Speaker 2: happen in Regis. You guys were far more serious academically. 622 00:33:51,280 --> 00:33:54,040 Speaker 1: It was a very nerdy place. There was no nc 623 00:33:54,160 --> 00:33:58,560 Speaker 1: DOUBLEA watching in the in the school in any capacity. 624 00:33:58,840 --> 00:34:02,360 Speaker 1: You have to remember, Clay New York City has a 625 00:34:02,360 --> 00:34:06,600 Speaker 1: lot of professional teams, but the universities that New York 626 00:34:06,680 --> 00:34:09,560 Speaker 1: is known for are not known for basketball. 627 00:34:09,600 --> 00:34:12,279 Speaker 2: Well, Saint John's pretty good in basketball. Like back in 628 00:34:12,280 --> 00:34:14,680 Speaker 2: the day Rick Patino's coaching there. Now they had an 629 00:34:14,719 --> 00:34:17,840 Speaker 2: elite eight run like Lou Carniseca, Like it was pretty 630 00:34:17,880 --> 00:34:19,359 Speaker 2: good Syracuse. 631 00:34:19,440 --> 00:34:20,759 Speaker 1: I mean has a las has to have a lot 632 00:34:20,760 --> 00:34:24,920 Speaker 1: of alums in New York City. Yeah, you know, I 633 00:34:25,000 --> 00:34:28,359 Speaker 1: just know, so just telling the truth, man, No one's 634 00:34:28,400 --> 00:34:30,640 Speaker 1: walking around in Manhattan for the most part, like, oh 635 00:34:30,800 --> 00:34:34,719 Speaker 1: did you see like Kentucky's playing uh Georgia in the 636 00:34:34,760 --> 00:34:37,279 Speaker 1: basketball game. It's just not a thing that we really have. 637 00:34:37,920 --> 00:34:40,960 Speaker 2: I guarantee you right now that there are w wo 638 00:34:41,200 --> 00:34:44,200 Speaker 2: R listeners who disagree with Buck flood him. 639 00:34:44,440 --> 00:34:44,839 Speaker 1: I am. 640 00:34:45,239 --> 00:34:49,800 Speaker 2: But you're saying at your high school, at no point 641 00:34:49,840 --> 00:34:52,920 Speaker 2: when you were in high school did the NCAA tournament 642 00:34:53,040 --> 00:34:54,640 Speaker 2: ever get put on during the day. 643 00:34:56,040 --> 00:34:58,879 Speaker 1: Clay, we went to church before we had like our 644 00:34:58,920 --> 00:35:01,719 Speaker 1: first game of the season. Are Like, no, there was 645 00:35:01,760 --> 00:35:05,319 Speaker 1: no watching it. It was a very serious place. I know, 646 00:35:05,440 --> 00:35:08,759 Speaker 1: I know if we were wearing a collared shirt in 647 00:35:08,800 --> 00:35:10,759 Speaker 1: the hallway, like it was not a there was no 648 00:35:10,880 --> 00:35:13,759 Speaker 1: NCAA basketball A high school did you go to this? 649 00:35:14,080 --> 00:35:17,680 Speaker 2: I mean I went to public school in Nashville. There 650 00:35:17,719 --> 00:35:19,600 Speaker 2: was a good high school. Still it's a very good 651 00:35:19,680 --> 00:35:22,600 Speaker 2: high school. But nowadays I don't know. Kids have their 652 00:35:22,640 --> 00:35:24,960 Speaker 2: own iPads. I don't know how Wi Fi works. In 653 00:35:25,040 --> 00:35:27,960 Speaker 2: the schools. They got their own cell phones. They can 654 00:35:28,080 --> 00:35:31,279 Speaker 2: keep tabs on what's going on. But back in the day, 655 00:35:32,360 --> 00:35:35,160 Speaker 2: you would have to, uh, you would have to you know, 656 00:35:35,200 --> 00:35:38,840 Speaker 2: kind of figure this out. My dad, I think, said that, 657 00:35:38,920 --> 00:35:41,000 Speaker 2: you know, you know, they send the World Series back 658 00:35:41,000 --> 00:35:42,680 Speaker 2: in the day, you know, they would play during the 659 00:35:42,760 --> 00:35:45,320 Speaker 2: day so you were at school, so they would sometimes 660 00:35:45,360 --> 00:35:47,359 Speaker 2: get the radio turned on to be able to see 661 00:35:47,360 --> 00:35:49,479 Speaker 2: what was going on in the World Series. But for us, 662 00:35:50,040 --> 00:35:54,480 Speaker 2: it was the television gets wheeled in. I think we 663 00:35:54,520 --> 00:35:57,399 Speaker 2: had remember anybody remember do you remember Channel One? Did 664 00:35:57,440 --> 00:35:58,719 Speaker 2: you guys have Channel one at all? 665 00:35:59,480 --> 00:36:01,719 Speaker 1: It was called It's New York One. It's all about 666 00:36:01,719 --> 00:36:03,440 Speaker 1: New York News. No, no, no. 667 00:36:03,440 --> 00:36:07,279 Speaker 2: They had, like in the nineties this company called Channel one, 668 00:36:07,360 --> 00:36:10,640 Speaker 2: which was giving newscasts to kids, and they gave everybody 669 00:36:10,719 --> 00:36:14,040 Speaker 2: televisions and like Anderson Cooper was on it. That's when 670 00:36:14,040 --> 00:36:16,480 Speaker 2: he started. I know, there's got to be other people 671 00:36:16,520 --> 00:36:19,120 Speaker 2: out there who had this in their schools and they 672 00:36:19,160 --> 00:36:21,120 Speaker 2: put in televisions, but you had to watch like a 673 00:36:21,120 --> 00:36:22,879 Speaker 2: twelve minute newscast every day. 674 00:36:23,400 --> 00:36:25,680 Speaker 1: I'm not kidding. This was like the business plan. 675 00:36:25,719 --> 00:36:28,200 Speaker 2: This would be crazy now, and the guy made like 676 00:36:28,320 --> 00:36:30,840 Speaker 2: billions of dollars off of it. Chris Whittle back in 677 00:36:30,920 --> 00:36:32,920 Speaker 2: the day, none of this never rings any. 678 00:36:32,719 --> 00:36:33,799 Speaker 1: Bell with you. 679 00:36:33,160 --> 00:36:36,359 Speaker 2: Your academics were way more serious than mine. We were 680 00:36:36,440 --> 00:36:38,360 Speaker 2: kind of a little bit free flowing, even though it 681 00:36:38,400 --> 00:36:41,560 Speaker 2: was a good school. We come back, We will dive 682 00:36:41,600 --> 00:36:43,640 Speaker 2: into some of this chaos going on. 683 00:36:44,080 --> 00:36:45,880 Speaker 1: At the border. We got a couple of clips for 684 00:36:45,920 --> 00:36:46,879 Speaker 1: you that you'll want to hear. 685 00:36:47,280 --> 00:36:49,960 Speaker 2: Also, Buck is going to fill out a bracket, and 686 00:36:50,080 --> 00:36:51,960 Speaker 2: we got a couple of great guests coming your way. 687 00:36:52,000 --> 00:36:56,360 Speaker 2: Bill O'Reilly Uncle Bill with us plus Nick Adams Alpha Male. 688 00:36:56,680 --> 00:36:58,120 Speaker 1: That's the next couple of hours. Come hang