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 --> 00:00:10,319 Speaker 1: Sexton Show podcast. Oh welcome in Tuesday edition. Clay j're havings, 3 00:00:10,320 --> 00:00:13,160 Speaker 1: Buck Sexton Joy almost started us off on a rough 4 00:00:13,200 --> 00:00:16,279 Speaker 1: note there, bucking about exactly what day it was. And 5 00:00:17,200 --> 00:00:20,119 Speaker 1: it's crazy in the Travis household every morning, to the 6 00:00:20,160 --> 00:00:21,960 Speaker 1: boys off to school. I'd never have any idea what's 7 00:00:22,000 --> 00:00:24,160 Speaker 1: going on in terms of the day of the week. 8 00:00:24,160 --> 00:00:27,640 Speaker 1: They're all chaotic. But we have got a loaded show 9 00:00:27,760 --> 00:00:29,639 Speaker 1: for all of you out there, and we hope that 10 00:00:29,720 --> 00:00:32,320 Speaker 1: you are having fantastic Tuesdays wherever you may be across 11 00:00:32,320 --> 00:00:35,760 Speaker 1: this great country around the world. We are here for 12 00:00:35,800 --> 00:00:39,000 Speaker 1: you for the next three hours. Next hour, right off 13 00:00:39,040 --> 00:00:42,640 Speaker 1: the top of hour two, Florida Governor Ron DeSantis is 14 00:00:42,720 --> 00:00:44,800 Speaker 1: going to join us. He has a brand new book out. 15 00:00:45,280 --> 00:00:47,960 Speaker 1: Is he going to run for president? We will ask him. 16 00:00:48,479 --> 00:00:50,839 Speaker 1: Probably won't break that news on this show, but we 17 00:00:50,840 --> 00:00:55,360 Speaker 1: will ask, and I think you guys will enjoy that conversation. 18 00:00:55,480 --> 00:00:58,640 Speaker 1: So that is coming in the next hour. But a 19 00:00:58,680 --> 00:01:01,040 Speaker 1: couple of different stories that are underway that we will 20 00:01:01,040 --> 00:01:05,600 Speaker 1: be following today. Arguments at the Supreme Court over whether 21 00:01:05,720 --> 00:01:09,760 Speaker 1: Joe Biden has the authority to cancel four hundred billion 22 00:01:09,840 --> 00:01:12,840 Speaker 1: dollars plus in student loan debt with the stroke of 23 00:01:12,840 --> 00:01:17,319 Speaker 1: a pen and outlet without legislative authority. Spoiler alert, he 24 00:01:17,360 --> 00:01:19,479 Speaker 1: does not. I suspect this will be a six three 25 00:01:19,600 --> 00:01:23,720 Speaker 1: ruling against him, but we will discuss also we will 26 00:01:23,760 --> 00:01:28,280 Speaker 1: continue to follow what I believe is this crazy idea bluck. 27 00:01:28,800 --> 00:01:31,600 Speaker 1: I don't know that it's ever happened before, but Whoopie 28 00:01:31,640 --> 00:01:35,000 Speaker 1: Goldberg and I have the exact same opinion on something. 29 00:01:35,080 --> 00:01:37,880 Speaker 1: And when you manage to get Whoopee and me on 30 00:01:37,920 --> 00:01:40,840 Speaker 1: the same side of a story, you know that somebody 31 00:01:40,840 --> 00:01:43,039 Speaker 1: has screwed up in a big way. And in particular, 32 00:01:43,120 --> 00:01:46,360 Speaker 1: it's about this concept of book editing. We talked about 33 00:01:46,400 --> 00:01:49,680 Speaker 1: it yesterday or last week, sorry, with Charlie and the 34 00:01:49,760 --> 00:01:52,520 Speaker 1: chocolate factory rolled doll. I believe is how you pronounce 35 00:01:52,560 --> 00:01:56,440 Speaker 1: the name the legendary children's book author. Now they're doing 36 00:01:56,440 --> 00:02:02,000 Speaker 1: it to James Bond books, Ian Flemings, legendary James Bond books. 37 00:02:02,160 --> 00:02:06,520 Speaker 1: They are knocking out sexist, which having read those books, 38 00:02:07,160 --> 00:02:08,920 Speaker 1: I mean, you know there's a lot of little bit 39 00:02:08,960 --> 00:02:10,959 Speaker 1: of a little bit of sexist and maybe in the 40 00:02:11,040 --> 00:02:13,800 Speaker 1: nineteen sixties compared to today when it comes to super 41 00:02:13,840 --> 00:02:17,800 Speaker 1: Agent James Bond. Bond does slap some women across the 42 00:02:17,800 --> 00:02:21,600 Speaker 1: face in the movies. I'm familiar with his cannon of work. Yes, 43 00:02:22,480 --> 00:02:24,639 Speaker 1: those books are great. By the way, they are now 44 00:02:24,760 --> 00:02:28,280 Speaker 1: editing those How many different books is happening to do? 45 00:02:28,400 --> 00:02:31,480 Speaker 1: We really have to go buy paper copies of every 46 00:02:31,520 --> 00:02:34,040 Speaker 1: book out there in order to see what the author's 47 00:02:34,040 --> 00:02:37,360 Speaker 1: original intent was. It's a really interesting discussion. But we 48 00:02:37,520 --> 00:02:43,440 Speaker 1: begin with the continued fallout. I would call it almost 49 00:02:43,480 --> 00:02:47,120 Speaker 1: a panic that has set in on the left wing 50 00:02:47,320 --> 00:02:52,000 Speaker 1: in this country as they have recognized, oh wait, all 51 00:02:52,040 --> 00:02:56,119 Speaker 1: those people that we accused of misinformation. The Clay Travis 52 00:02:56,200 --> 00:02:58,799 Speaker 1: is the Buck Sextons of the world that we've been 53 00:02:58,840 --> 00:03:04,000 Speaker 1: going to war with for years. They're actually right about everything. 54 00:03:04,480 --> 00:03:07,360 Speaker 1: And we're of course referring to the Department of Energy 55 00:03:07,440 --> 00:03:10,400 Speaker 1: making the determination that COVID most likely leaked from a 56 00:03:10,520 --> 00:03:15,480 Speaker 1: Chinese lab. This is the Biden administration making that determination. 57 00:03:15,960 --> 00:03:23,040 Speaker 1: But I saw an interesting interplay book between Medi Hassan 58 00:03:23,360 --> 00:03:28,600 Speaker 1: I believe is his name, and Nate Silver. And Nate 59 00:03:28,720 --> 00:03:33,560 Speaker 1: Silver is a data analytics guy who now I believe 60 00:03:33,600 --> 00:03:38,640 Speaker 1: works at ABC. Previously was at ESPN five thirty eight 61 00:03:38,840 --> 00:03:42,080 Speaker 1: was his website, and really he kind of focuses on 62 00:03:42,520 --> 00:03:45,920 Speaker 1: trying to synthesize all the polling data and give us 63 00:03:46,000 --> 00:03:49,080 Speaker 1: a larger sense of what might be about to happen 64 00:03:49,680 --> 00:03:53,520 Speaker 1: and Medi Hassan so Nate Silver is upset because he 65 00:03:53,560 --> 00:03:56,000 Speaker 1: says that there's been a failure in the media to 66 00:03:56,160 --> 00:03:59,800 Speaker 1: cover the idea that the lab leak theory exists. Right 67 00:04:00,000 --> 00:04:03,600 Speaker 1: instead of this zoonotic doctor fauci led idea that it 68 00:04:03,680 --> 00:04:07,440 Speaker 1: just came from a random animal and peguin. We all 69 00:04:07,640 --> 00:04:09,200 Speaker 1: remember because we all had to We all had to 70 00:04:09,240 --> 00:04:11,680 Speaker 1: google what a pangulin was. I think I'm pretty well 71 00:04:11,760 --> 00:04:14,880 Speaker 1: versed in the animal kingdom, but I gotta say pangolin 72 00:04:14,960 --> 00:04:16,560 Speaker 1: took me a moment. That took me. I had no 73 00:04:16,600 --> 00:04:20,120 Speaker 1: idea what was either. But this, to me is the 74 00:04:20,200 --> 00:04:23,320 Speaker 1: crux of what's going on now and why we need 75 00:04:23,360 --> 00:04:26,120 Speaker 1: a COVID reckoning and why those on the left are 76 00:04:26,320 --> 00:04:30,400 Speaker 1: so quick to run from it. Metiasson, who I believe 77 00:04:30,400 --> 00:04:33,440 Speaker 1: works at MSNBC, is that right? Is that his primary sawyer? 78 00:04:34,440 --> 00:04:39,440 Speaker 1: He tweeted the simple reason why so many people weren't 79 00:04:39,600 --> 00:04:44,080 Speaker 1: keen to discuss the lab leak theory is because it 80 00:04:44,160 --> 00:04:49,200 Speaker 1: was originally conflated by the right with Chinese bioweapon conspiracy 81 00:04:49,640 --> 00:04:52,880 Speaker 1: and continues to be conflated by the right with anti 82 00:04:52,960 --> 00:04:59,920 Speaker 1: Fauci conspiracies. Blame the conspiracy theorist. This is such to me, Buck, 83 00:05:00,360 --> 00:05:05,600 Speaker 1: an indictment of the media, because this is the reality. 84 00:05:06,000 --> 00:05:10,479 Speaker 1: They wouldn't cover the COVID lab leak because they didn't 85 00:05:10,560 --> 00:05:14,720 Speaker 1: want the people who believed the COVID lab leak, I, EU, 86 00:05:15,120 --> 00:05:19,120 Speaker 1: Me and lots of people out there to be correct, 87 00:05:19,480 --> 00:05:23,800 Speaker 1: and so they immediately labeled it a conspiracy theory and 88 00:05:23,920 --> 00:05:27,760 Speaker 1: refused to consider it. I made this joke once with Trump. Buck, 89 00:05:28,040 --> 00:05:29,720 Speaker 1: I said, have you ever thought about just kind of 90 00:05:29,720 --> 00:05:32,880 Speaker 1: having a thought experiment and coming out in favor of 91 00:05:32,960 --> 00:05:36,280 Speaker 1: something that you actually aren't in favor of because you 92 00:05:36,320 --> 00:05:39,839 Speaker 1: want Democrats to oppose it immediately? I mean, we were 93 00:05:39,880 --> 00:05:41,600 Speaker 1: in such an era. You know, if Trump had come 94 00:05:41,640 --> 00:05:46,000 Speaker 1: out and said, hey, you know, I think we should 95 00:05:46,000 --> 00:05:48,920 Speaker 1: tear down every wall along the border, I think Democrats 96 00:05:48,960 --> 00:05:50,440 Speaker 1: would have been like, hey, maybe we should put up 97 00:05:50,440 --> 00:05:57,320 Speaker 1: a wall. So Karl Popper, the philosopher, twentieth century philosopher, 98 00:05:58,120 --> 00:06:03,240 Speaker 1: has this idea of the christ Herian of falsifiability, and 99 00:06:03,360 --> 00:06:07,159 Speaker 1: we really ran a massive test all throughout COVID of this, 100 00:06:07,240 --> 00:06:12,640 Speaker 1: and he believed that falsifiability had to be the heart 101 00:06:12,680 --> 00:06:16,839 Speaker 1: of anything that you were going to consider science. If 102 00:06:16,839 --> 00:06:20,440 Speaker 1: it was empirically scientific, it must be possible to be 103 00:06:20,520 --> 00:06:24,040 Speaker 1: proven to be untrue, because if it cannot be proven 104 00:06:24,080 --> 00:06:27,719 Speaker 1: to be untrue, it cannot be scientific. That's the basic, 105 00:06:28,760 --> 00:06:32,320 Speaker 1: the basic rationale. And all throughout COVID, what we have 106 00:06:32,400 --> 00:06:38,920 Speaker 1: seen is a series of projections of the unfalsifiable things 107 00:06:38,960 --> 00:06:41,920 Speaker 1: that can't be Oh, masks don't work well. Actually, maybe 108 00:06:41,920 --> 00:06:44,960 Speaker 1: they work a little bit in certain circumstances for some 109 00:06:45,000 --> 00:06:48,560 Speaker 1: people at some time, because we think so, right, well, 110 00:06:48,600 --> 00:06:52,800 Speaker 1: how do you prove that that's not true? It's impossible. Oh. 111 00:06:52,839 --> 00:06:58,200 Speaker 1: A perfect example of this the genuflection after vaccination and infection. 112 00:07:00,480 --> 00:07:04,600 Speaker 1: And I have a really bad fever and my back hurts, 113 00:07:05,000 --> 00:07:07,799 Speaker 1: but I'm so grateful that I got shot number five. 114 00:07:08,680 --> 00:07:13,240 Speaker 1: That is unfalsifiable doctrine at work. How do you know 115 00:07:13,320 --> 00:07:15,240 Speaker 1: it would have been worse if you hadn't. Of course 116 00:07:15,280 --> 00:07:17,800 Speaker 1: you can No, we can't prove it. And what I 117 00:07:17,880 --> 00:07:20,320 Speaker 1: think is interesting is now they've taken this even further 118 00:07:20,960 --> 00:07:26,720 Speaker 1: when the people who are making an argument are so awful, 119 00:07:27,240 --> 00:07:30,400 Speaker 1: they're so odious. They are you, Clay, they are me, 120 00:07:30,840 --> 00:07:33,760 Speaker 1: they are friends of ours on the right in media, 121 00:07:33,920 --> 00:07:36,640 Speaker 1: it does not matter what their argument is or what 122 00:07:36,680 --> 00:07:38,840 Speaker 1: the facts are in support of it, because they are 123 00:07:38,920 --> 00:07:43,600 Speaker 1: inherently to be distrusted because of how awful they are. 124 00:07:44,480 --> 00:07:48,920 Speaker 1: This is a fundamentally unfalsifiable belief, as in it cannot 125 00:07:48,920 --> 00:07:50,760 Speaker 1: be proven to be untrue. One of the things I 126 00:07:50,760 --> 00:07:54,760 Speaker 1: think is so interesting about what is falsifiable and not. 127 00:07:56,200 --> 00:07:57,720 Speaker 1: And by the way, this is stuff that you just 128 00:07:57,760 --> 00:08:02,440 Speaker 1: can You can apply this to Marxism, to Freudian psycho psychoanalysis, 129 00:08:02,840 --> 00:08:05,640 Speaker 1: anytime someone's showing again. This is why often when people 130 00:08:05,720 --> 00:08:07,440 Speaker 1: say how do you try to argue with the left? 131 00:08:08,520 --> 00:08:10,320 Speaker 1: A good way to start is to say, well, how 132 00:08:10,360 --> 00:08:13,040 Speaker 1: can what you believe? How what would it take for 133 00:08:13,080 --> 00:08:16,440 Speaker 1: you to not believe this anymore? What could we show 134 00:08:16,520 --> 00:08:20,520 Speaker 1: that would prove what you believe to be untrue? And 135 00:08:20,560 --> 00:08:24,960 Speaker 1: when you see things like okay, America, is you know, 136 00:08:25,040 --> 00:08:28,120 Speaker 1: not this awful racist country? Is it possible? Because they'll say, 137 00:08:28,120 --> 00:08:29,720 Speaker 1: well this is a proven fact, you say, well, it's 138 00:08:29,720 --> 00:08:32,280 Speaker 1: not fact, it's opinion. And if it is fact, how 139 00:08:32,320 --> 00:08:35,680 Speaker 1: could we prove this is true or untrue? That was 140 00:08:35,800 --> 00:08:38,560 Speaker 1: essentially the mass hysteria. This is the foundation of mass 141 00:08:38,640 --> 00:08:41,360 Speaker 1: hysteria for all of COVID. I think Mehdi Hassan, to 142 00:08:41,440 --> 00:08:46,400 Speaker 1: your point, is giving voice to what was really the 143 00:08:46,840 --> 00:08:50,640 Speaker 1: fundamental fallacy of all of this, which is our team, 144 00:08:50,720 --> 00:08:56,000 Speaker 1: meaning the Democrats are the good, smart, honest, ethical, science 145 00:08:56,160 --> 00:09:01,520 Speaker 1: science smart people, and the other people are troglodytes. A 146 00:09:01,559 --> 00:09:03,959 Speaker 1: lot of them voted for Trump. A lot of them 147 00:09:04,000 --> 00:09:07,199 Speaker 1: believe there are only two genders. That means they are 148 00:09:07,240 --> 00:09:10,960 Speaker 1: so awful that even their honest, truthful argument, rooted in 149 00:09:11,000 --> 00:09:14,920 Speaker 1: fact must be discounted. Welcome to the unfalsifiable. This is 150 00:09:14,920 --> 00:09:17,080 Speaker 1: where they are, and by the way, they'll never stop. 151 00:09:17,120 --> 00:09:19,080 Speaker 1: This is what you also realize because you can always 152 00:09:19,120 --> 00:09:23,840 Speaker 1: go to another level of this philosophical fallacy. And also 153 00:09:24,960 --> 00:09:29,840 Speaker 1: in order to not believe that this virus leaked from 154 00:09:29,880 --> 00:09:34,880 Speaker 1: the Wuhan Virology Institute, you have to overlook a lot 155 00:09:35,000 --> 00:09:37,800 Speaker 1: of things. And we played this for you. I think 156 00:09:37,840 --> 00:09:41,720 Speaker 1: this was last year Buck when John Stewart went on 157 00:09:41,880 --> 00:09:47,640 Speaker 1: Stephen Colbert Show and had a moment of transcendent brilliance 158 00:09:47,840 --> 00:09:52,040 Speaker 1: because he spoke truth to this audience that laughed along 159 00:09:52,080 --> 00:09:55,800 Speaker 1: with them and seemed to recognize how absurd what they 160 00:09:55,880 --> 00:10:00,200 Speaker 1: believed was. Listen to this. This is John Stewart last year, 161 00:10:00,760 --> 00:10:03,800 Speaker 1: uh like over a year ago, almost. I think on 162 00:10:04,840 --> 00:10:07,280 Speaker 1: on Stephen Colbert Show, there's a chance that this was 163 00:10:07,320 --> 00:10:10,160 Speaker 1: creating a lab. There's an investigation, a chance. I don't 164 00:10:10,679 --> 00:10:12,120 Speaker 1: Oh my god, there's the evidence. I'd love to hear 165 00:10:12,160 --> 00:10:18,120 Speaker 1: that there's a novel respiratory coronavirus overtaking Wuhan, China. What 166 00:10:18,120 --> 00:10:20,000 Speaker 1: do we do? Oh? You know who? We could ask 167 00:10:20,200 --> 00:10:25,920 Speaker 1: the Wuhan novel respiratory coronavirus lab. The disease is the 168 00:10:25,960 --> 00:10:30,000 Speaker 1: same name as the lab. Show me a business card. Oh, 169 00:10:30,040 --> 00:10:35,400 Speaker 1: I work at the coronavirus lab in Wuhan. Oh, because 170 00:10:35,400 --> 00:10:39,400 Speaker 1: there's a coronavirus loosing Wuhan. How did that happen? Maybe 171 00:10:39,679 --> 00:10:44,480 Speaker 1: a bat flew into the cloaca of a turkey and 172 00:10:44,760 --> 00:10:48,400 Speaker 1: then it sneezed into my chili, and now we all 173 00:10:48,440 --> 00:10:51,840 Speaker 1: have a coronavirus? Now, can I just say, you know, 174 00:10:51,880 --> 00:10:55,960 Speaker 1: first of all, he's he's pointing out something that that's 175 00:10:55,960 --> 00:10:57,480 Speaker 1: so obvious that I feel like it's hard to give 176 00:10:57,480 --> 00:10:59,440 Speaker 1: anyone credit for this, although I guess he gets credit 177 00:10:59,480 --> 00:11:02,120 Speaker 1: because he's a live and he made the argument in public. 178 00:11:03,000 --> 00:11:08,240 Speaker 1: But Clay, the basic basic realities here were all discarded 179 00:11:08,240 --> 00:11:11,959 Speaker 1: in the very beginning. If masking, for example, was so effective, 180 00:11:12,520 --> 00:11:14,880 Speaker 1: why had this not come up in almost one hundred 181 00:11:15,400 --> 00:11:18,360 Speaker 1: years as a public health policy in the United States? 182 00:11:18,400 --> 00:11:20,840 Speaker 1: If this was so obviously true, how could they have 183 00:11:20,880 --> 00:11:22,600 Speaker 1: thought it was false at the very beginning of the 184 00:11:22,640 --> 00:11:25,800 Speaker 1: pandemic and then done in about face Fauci most famously, 185 00:11:26,160 --> 00:11:29,360 Speaker 1: and remember Fauci admitted he lied. He just said that 186 00:11:29,400 --> 00:11:31,439 Speaker 1: he lied because he was concerned that we would run 187 00:11:31,480 --> 00:11:34,320 Speaker 1: out of masks, so he lied about the effectiveness of 188 00:11:34,360 --> 00:11:37,280 Speaker 1: masks to stockpile mask for the people who really needed them, 189 00:11:37,360 --> 00:11:39,600 Speaker 1: because they're so effective. This was all a lie. They 190 00:11:39,600 --> 00:11:43,000 Speaker 1: weren't actually effective. Wuhan to John Stewart's point to the 191 00:11:43,040 --> 00:11:47,040 Speaker 1: clip you just played, what are the chances that a 192 00:11:47,240 --> 00:11:51,600 Speaker 1: novel coronavirus with some connection to bats pops up for 193 00:11:51,640 --> 00:11:55,480 Speaker 1: the first time on the entire planet within a couple 194 00:11:55,480 --> 00:11:59,760 Speaker 1: of miles of a bio safety level three or four 195 00:12:00,080 --> 00:12:04,079 Speaker 1: whatever it is. Facility in China studying novel coronaviruses and 196 00:12:04,120 --> 00:12:07,000 Speaker 1: bats and doing gain a function research, etc. Like a 197 00:12:07,240 --> 00:12:11,240 Speaker 1: what is the statistical possibility? And we were crazy, this 198 00:12:11,440 --> 00:12:14,240 Speaker 1: is the most obvious thing that anyone could ever possibly 199 00:12:14,280 --> 00:12:16,480 Speaker 1: come up with. But as we mentioned yesterday, you know, 200 00:12:16,520 --> 00:12:20,000 Speaker 1: you had famous historians and academics and media figures. Oh, 201 00:12:20,000 --> 00:12:23,040 Speaker 1: it's a conspiracy theory. They had to say it was 202 00:12:23,080 --> 00:12:26,400 Speaker 1: a conspiracy theory. They had to shut this down because 203 00:12:26,840 --> 00:12:29,880 Speaker 1: the system that was going to tell us everything we 204 00:12:29,920 --> 00:12:31,679 Speaker 1: had to do for the next two years was the 205 00:12:31,720 --> 00:12:35,679 Speaker 1: same international consensus of health experts, including Fauci and direct 206 00:12:35,679 --> 00:12:39,079 Speaker 1: funding for WUHAN that created the monster in the first place. 207 00:12:39,640 --> 00:12:41,319 Speaker 1: It's gonna be tough to listen to the person who 208 00:12:41,320 --> 00:12:45,000 Speaker 1: creates Frankenstein about how to handle Frankenstein. I know, Frankenstein's 209 00:12:45,000 --> 00:12:47,120 Speaker 1: the doctor, not the monster. Please save me, but you 210 00:12:47,120 --> 00:12:52,040 Speaker 1: know what I mean. It is I think going to 211 00:12:52,120 --> 00:12:58,920 Speaker 1: become increasingly impossible for left wingers to not acknowledge that 212 00:12:58,960 --> 00:13:03,760 Speaker 1: they got everything wrong. And the response to this story 213 00:13:03,960 --> 00:13:06,160 Speaker 1: from the Wall Street Journal about the Department of Energy 214 00:13:06,760 --> 00:13:11,160 Speaker 1: has further elucidated that for me, and I want to 215 00:13:11,280 --> 00:13:15,160 Speaker 1: before we finished this hour also play by the way, 216 00:13:15,200 --> 00:13:19,320 Speaker 1: Stephen Colbert and The Daily Show, they're now arguing why 217 00:13:19,400 --> 00:13:23,080 Speaker 1: is the Department of Energy even conducting this investigation. I mean, 218 00:13:23,240 --> 00:13:30,199 Speaker 1: now they're upset at Briden's government being transparent. But again 219 00:13:30,240 --> 00:13:33,080 Speaker 1: back to the Meti Hassan point here, we've said this 220 00:13:33,080 --> 00:13:34,360 Speaker 1: guy's name a lot, We're giving them a lot of 221 00:13:34,360 --> 00:13:37,400 Speaker 1: free press. He's not a very nice fellow from what 222 00:13:37,480 --> 00:13:40,760 Speaker 1: you see on his public profile and everything else. But 223 00:13:41,320 --> 00:13:44,920 Speaker 1: what you see, Clay is that ultimately the Democrat Party 224 00:13:44,920 --> 00:13:46,839 Speaker 1: in this country and the issue of COVID, it all 225 00:13:47,160 --> 00:13:49,960 Speaker 1: comes down to yes, power control and the things that 226 00:13:49,960 --> 00:13:53,840 Speaker 1: we've talked about many times. But their position going forward 227 00:13:53,960 --> 00:13:57,560 Speaker 1: is even if we were wrong, we were in the 228 00:13:57,679 --> 00:14:03,120 Speaker 1: right for believing the right people who were wrong, doesn't 229 00:14:03,120 --> 00:14:06,080 Speaker 1: matter that they were wrong with the actual outcome. They 230 00:14:06,120 --> 00:14:08,440 Speaker 1: did what they believed they were supposed to do. They 231 00:14:08,480 --> 00:14:12,960 Speaker 1: took orders, they gave the Code red, and they're just 232 00:14:13,000 --> 00:14:15,760 Speaker 1: saying Colonel Jessup is a hero, we need him on 233 00:14:15,800 --> 00:14:18,080 Speaker 1: that wall. And it's like, well, hold on a second, 234 00:14:18,120 --> 00:14:22,640 Speaker 1: but the Code red was bad, Yes it was. It's 235 00:14:22,680 --> 00:14:24,800 Speaker 1: working it in there. 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Our three of 259 00:15:35,360 --> 00:15:39,360 Speaker 1: Clay and Buck starts right now everybody, and we often 260 00:15:39,360 --> 00:15:43,160 Speaker 1: talk about the great sorting that is underway between red 261 00:15:43,200 --> 00:15:46,640 Speaker 1: and blue states. We had Governor Ronda Santis. If you 262 00:15:46,720 --> 00:15:49,080 Speaker 1: missed it, by the way, you definitely want to hear it, 263 00:15:49,120 --> 00:15:51,280 Speaker 1: so you should subscribe to the Clay Travis and Buck 264 00:15:51,320 --> 00:15:54,720 Speaker 1: Sexton Show podcast. We also have deep dives. I did 265 00:15:54,720 --> 00:15:57,800 Speaker 1: a deep dive with Gordon Chang on China earlier this 266 00:15:57,840 --> 00:15:59,480 Speaker 1: week that is now up in that feed. You can 267 00:15:59,480 --> 00:16:01,280 Speaker 1: listen to it, but that's not going to be on 268 00:16:01,400 --> 00:16:04,440 Speaker 1: radio only on the podcast. Second hour of the program today, 269 00:16:04,440 --> 00:16:07,320 Speaker 1: we talked to Governor Ron De Santis of Florida and 270 00:16:07,480 --> 00:16:10,440 Speaker 1: he's both doing a book tour and a victory lap 271 00:16:10,520 --> 00:16:17,000 Speaker 1: simultaneously for the numbers in his state. Fifty year low 272 00:16:17,880 --> 00:16:21,240 Speaker 1: in crime in the state of Florida. That's pretty remarkable. 273 00:16:21,600 --> 00:16:24,960 Speaker 1: And they also have eight hundred thousand, give or take, 274 00:16:25,160 --> 00:16:27,760 Speaker 1: new residents in the state of Florida. It's got to 275 00:16:27,800 --> 00:16:30,120 Speaker 1: be probably close to twenty one twenty two million people 276 00:16:30,160 --> 00:16:33,320 Speaker 1: now living in that state, but crime is going down. 277 00:16:34,240 --> 00:16:39,520 Speaker 1: Contrast that with what we see in Chicago, the third 278 00:16:39,600 --> 00:16:43,440 Speaker 1: largest city in America and what's going on with their 279 00:16:43,480 --> 00:16:47,600 Speaker 1: crime rate. Let's see where we are right now. In 280 00:16:47,720 --> 00:16:52,440 Speaker 1: twenty twenty, the year of the BLM riots, there were 281 00:16:52,560 --> 00:16:57,240 Speaker 1: seven hundred and seventy two murders in Chicago alone. That 282 00:16:57,480 --> 00:17:02,880 Speaker 1: is a crazy high figure when you think Chicago has 283 00:17:03,000 --> 00:17:08,119 Speaker 1: two million people, So New York is four times the 284 00:17:08,200 --> 00:17:11,960 Speaker 1: size of Chicago, and that is a higher per capita 285 00:17:12,080 --> 00:17:15,600 Speaker 1: murder rate by the numbers than New York would have 286 00:17:15,640 --> 00:17:19,760 Speaker 1: had in its absolute worst year in nineteen ninety. So 287 00:17:19,840 --> 00:17:25,720 Speaker 1: at New York's absolute worst going back now thirty years, 288 00:17:26,320 --> 00:17:28,919 Speaker 1: Chicago in twenty twenty was worse, and it hasn't gotten 289 00:17:28,920 --> 00:17:32,360 Speaker 1: a whole lot better by the numbers either. Just last year, 290 00:17:32,480 --> 00:17:37,280 Speaker 1: play Chicago had six hundred and ninety five homicides, just 291 00:17:37,440 --> 00:17:42,440 Speaker 1: shy of seven hundred murders, and you saw one nearly yourself. Buck, 292 00:17:42,480 --> 00:17:44,800 Speaker 1: You'd never been to Chicago, and you and your then 293 00:17:45,080 --> 00:17:47,800 Speaker 1: fiance went there and right at one of the main 294 00:17:47,920 --> 00:17:51,080 Speaker 1: tourist attractions there was a murder right after you left. 295 00:17:51,840 --> 00:17:56,359 Speaker 1: I feel like I had this real Chicago experience in 296 00:17:56,400 --> 00:18:00,240 Speaker 1: a sense, because I'm there with Carrie. We obviously we're 297 00:18:00,280 --> 00:18:03,159 Speaker 1: actually we hadn't gotten engaged yet. But but yes, my 298 00:18:03,280 --> 00:18:05,760 Speaker 1: now wife and i'd never been to Chicago before, which 299 00:18:05,760 --> 00:18:08,160 Speaker 1: I know was crazy because I've I've been to Baghdad 300 00:18:08,240 --> 00:18:09,960 Speaker 1: multiple times. You feel like I probably could make my 301 00:18:10,000 --> 00:18:14,560 Speaker 1: way to Chicago. And it's beautiful. It's an amazing city. 302 00:18:14,600 --> 00:18:17,959 Speaker 1: I mean, the downtown is awesome, the architecture, the history, 303 00:18:18,080 --> 00:18:21,440 Speaker 1: the food, the Chicago River, it's so there's so much 304 00:18:21,520 --> 00:18:23,800 Speaker 1: good stuff. And you know, you get to like Michigan 305 00:18:23,840 --> 00:18:26,040 Speaker 1: and the park and I mean, I was doing the 306 00:18:26,080 --> 00:18:29,439 Speaker 1: whole tourist thing and I'm at the Bean, the Silver 307 00:18:29,520 --> 00:18:32,919 Speaker 1: Bean with the Millennium Park. It's a gorgeous day, and 308 00:18:32,960 --> 00:18:35,480 Speaker 1: I look at Karen, I say, this place is pretty great. 309 00:18:35,520 --> 00:18:37,320 Speaker 1: You know, maybe the crime thing isn't as bad as 310 00:18:37,359 --> 00:18:39,760 Speaker 1: we've been led to believe. We're sitting at dinner maybe 311 00:18:39,760 --> 00:18:42,359 Speaker 1: an hour hour and a half later, a murder happened 312 00:18:42,400 --> 00:18:44,800 Speaker 1: at the Bean. At the means someone was shot and 313 00:18:44,880 --> 00:18:47,120 Speaker 1: killed right where we were standing, within a hundred yards 314 00:18:47,200 --> 00:18:49,440 Speaker 1: or where we had that conversation an hour later, So 315 00:18:49,640 --> 00:18:51,680 Speaker 1: you know, yeah, you could say that's just anecdotal, but 316 00:18:52,840 --> 00:18:56,080 Speaker 1: what are the chances. Okay, there's obviously huge problem with 317 00:18:56,160 --> 00:18:59,040 Speaker 1: crime in Chicago, and this brings me Clay to the 318 00:18:59,040 --> 00:19:02,640 Speaker 1: mayor's race. We've seen some heavy hitters on the Democrat 319 00:19:02,720 --> 00:19:07,080 Speaker 1: side go down in elections. Recently, Gavin Neusa managed to 320 00:19:07,640 --> 00:19:11,840 Speaker 1: keep his job. But you've obviously had some prosecutors, some 321 00:19:12,000 --> 00:19:15,440 Speaker 1: mayors who have found out that there are limits, right, 322 00:19:15,440 --> 00:19:17,720 Speaker 1: there are limits to how poorly you can run a city. 323 00:19:18,480 --> 00:19:22,119 Speaker 1: You had Chessi Boudan in San Francisco got booted as 324 00:19:22,119 --> 00:19:24,080 Speaker 1: a prosecutor. There's an effort to get rid of Larry 325 00:19:24,160 --> 00:19:29,320 Speaker 1: Kraszer in Philadelphia, Lori Lightfoot. I think you'd have to say. Now, 326 00:19:29,320 --> 00:19:32,000 Speaker 1: people from some other cities may argue on this point, 327 00:19:32,080 --> 00:19:34,320 Speaker 1: that's fun, but for a city of that side, she's 328 00:19:34,320 --> 00:19:36,680 Speaker 1: the worst mayor in America. I think that's fair to say. 329 00:19:36,920 --> 00:19:41,200 Speaker 1: You know that she won election with seventy three percent 330 00:19:41,280 --> 00:19:44,800 Speaker 1: of the vote. Didn't know that three percent of the vote. 331 00:19:45,480 --> 00:19:48,080 Speaker 1: And now there are nine people total running. It's likely 332 00:19:48,080 --> 00:19:50,240 Speaker 1: to go to a runoff. But every single one of 333 00:19:50,240 --> 00:19:52,679 Speaker 1: the people who are running as a Democrat, you have 334 00:19:52,720 --> 00:19:54,600 Speaker 1: to wonder. I mean, I would want to ask the 335 00:19:54,640 --> 00:19:58,119 Speaker 1: people of Chicago what is more important than putting somebody 336 00:19:58,119 --> 00:20:00,720 Speaker 1: in charge who takes public safety s here and is 337 00:20:00,760 --> 00:20:02,919 Speaker 1: going to back police and bring the crime right down, Like, 338 00:20:02,920 --> 00:20:05,399 Speaker 1: what could be a more important reason to cast your 339 00:20:05,440 --> 00:20:08,480 Speaker 1: vote as a Chicago in than that. It's a good 340 00:20:08,520 --> 00:20:12,720 Speaker 1: point too, as you mentioned that nine all nine are Democrats. 341 00:20:12,880 --> 00:20:15,440 Speaker 1: Lorie Lightfoot may not even make the runoff. We'll find 342 00:20:15,480 --> 00:20:20,479 Speaker 1: out tonight. Some of the polling obviously regular caveats surrounding polling. 343 00:20:20,960 --> 00:20:22,919 Speaker 1: Some of the polling suggests she's not even in the 344 00:20:22,960 --> 00:20:26,480 Speaker 1: top three contenders right now. That's how little of support 345 00:20:26,560 --> 00:20:29,000 Speaker 1: she will have. So we'll see whether she makes the runoff. 346 00:20:30,080 --> 00:20:33,359 Speaker 1: Big picture question for the Midwest, Buck, we know that 347 00:20:33,440 --> 00:20:35,520 Speaker 1: the election is going to be decided there in twenty 348 00:20:35,560 --> 00:20:41,080 Speaker 1: twenty four. Probably how it did Illinois become the only 349 00:20:41,280 --> 00:20:46,119 Speaker 1: really died in the wool reliable blue state in the 350 00:20:46,320 --> 00:20:50,280 Speaker 1: entire Midwest? Is it kind of interesting? Right? Like You've 351 00:20:50,280 --> 00:20:54,440 Speaker 1: got Michigan, which Trump won in sixteen, You've got Minnesota, 352 00:20:54,480 --> 00:21:01,119 Speaker 1: which Trump nearly won, very competitive, Pennsylvania which is very competitive, Indiana, 353 00:21:01,119 --> 00:21:04,840 Speaker 1: and Ohio or died in the wool red Iowa. I'm 354 00:21:04,920 --> 00:21:08,480 Speaker 1: talking about big ten states now, Iowa I'll toss into 355 00:21:08,480 --> 00:21:12,000 Speaker 1: that equation as well. Illinois is the only state in 356 00:21:12,000 --> 00:21:14,760 Speaker 1: the middle part of the country, right take away from 357 00:21:14,800 --> 00:21:17,480 Speaker 1: the coast, the only state in the middle part of 358 00:21:17,480 --> 00:21:19,680 Speaker 1: the country where you can be like, there's no way 359 00:21:19,720 --> 00:21:24,199 Speaker 1: it's not voting blue. And I know Chicago is a 360 00:21:24,200 --> 00:21:26,320 Speaker 1: big part of that. Chicago's third biggest city in the 361 00:21:26,520 --> 00:21:29,440 Speaker 1: United States after New York in LA and I'm sure 362 00:21:29,480 --> 00:21:32,840 Speaker 1: Chicago dominates to a certain extent the overall voting patterns 363 00:21:32,840 --> 00:21:35,879 Speaker 1: of Illinois. But isn't that kind of crazy that Illinois 364 00:21:36,040 --> 00:21:39,760 Speaker 1: in the entire middle part of the country. Of all 365 00:21:39,880 --> 00:21:43,679 Speaker 1: states that are not on a coast, Illinois is the 366 00:21:43,800 --> 00:21:47,200 Speaker 1: most reliably blue in the country. And I'm not even 367 00:21:47,200 --> 00:21:49,600 Speaker 1: sure what the second, maybe Minnesota you would say, is 368 00:21:49,640 --> 00:21:52,840 Speaker 1: the second most reliably blue in the country off the coast. 369 00:21:53,080 --> 00:21:55,840 Speaker 1: It's kind of wild, isn't it, that it standing alone, 370 00:21:56,359 --> 00:21:59,640 Speaker 1: is not competitive and not even open to the idea 371 00:21:59,640 --> 00:22:02,800 Speaker 1: of voting Republican. I mean, certainly you can look at 372 00:22:02,800 --> 00:22:07,080 Speaker 1: the history of American progressivism and you'll take it all 373 00:22:07,119 --> 00:22:11,119 Speaker 1: the way back to Wisconsin. Actually, Wisconsin was a hotbed 374 00:22:11,359 --> 00:22:14,840 Speaker 1: of progressivism in the early twentieth century. But to your point, 375 00:22:15,560 --> 00:22:18,600 Speaker 1: it's obviously a state that can go red or blue. 376 00:22:19,080 --> 00:22:22,879 Speaker 1: Illinois is just written is written off every single presidential election. 377 00:22:22,880 --> 00:22:25,800 Speaker 1: It's going blue, there's no question. I think Chicago accounts 378 00:22:25,840 --> 00:22:29,280 Speaker 1: for about twenty five percent of the population of the state, 379 00:22:30,119 --> 00:22:32,760 Speaker 1: so that's obviously. But doesn't that kind of surprise you 380 00:22:32,800 --> 00:22:36,199 Speaker 1: that every other state other than on the coast is 381 00:22:36,520 --> 00:22:39,880 Speaker 1: in theoretically could go red or blue. Illinois is the 382 00:22:39,920 --> 00:22:44,359 Speaker 1: bluest of any state that is other than the coast. Yeah, 383 00:22:44,400 --> 00:22:47,160 Speaker 1: and Springfield, I think is I've been to Springfield, Illinois. 384 00:22:47,320 --> 00:22:50,959 Speaker 1: It's I think it's almost a red. I think it's 385 00:22:51,000 --> 00:22:53,040 Speaker 1: fifty fifty. It's almost red. So the cap what's not 386 00:22:53,080 --> 00:22:54,439 Speaker 1: that big of a city, but so that you do 387 00:22:54,520 --> 00:22:58,719 Speaker 1: have some other places, other population centers that are more 388 00:22:58,760 --> 00:23:01,360 Speaker 1: of a toss up. But look, I just would want 389 00:23:01,400 --> 00:23:05,240 Speaker 1: to see why would anybody think that that Lori Lyfet 390 00:23:05,320 --> 00:23:07,199 Speaker 1: will do a better job the second time around. I 391 00:23:07,240 --> 00:23:09,359 Speaker 1: do believe that a big part of her appeal to 392 00:23:09,400 --> 00:23:13,200 Speaker 1: the progressive Democrat vote in Chicago the first time around 393 00:23:13,200 --> 00:23:18,399 Speaker 1: falls under the diversity and an identity politics component of 394 00:23:18,480 --> 00:23:21,000 Speaker 1: not just being the first black female mayor of Chicago, 395 00:23:21,040 --> 00:23:27,679 Speaker 1: the first black female LGBTQ plus mayor of Chicago. I 396 00:23:27,720 --> 00:23:30,480 Speaker 1: think that they're I mean, they were celebrating that Obviously 397 00:23:30,520 --> 00:23:36,200 Speaker 1: that was considered some major milestone for the city of Chicago. 398 00:23:36,920 --> 00:23:39,520 Speaker 1: But now they've seen the results, and you have to wonder, 399 00:23:40,480 --> 00:23:42,639 Speaker 1: why would anyone expect the results to be different that 400 00:23:42,720 --> 00:23:46,480 Speaker 1: they gave her another term. She has been She was 401 00:23:46,520 --> 00:23:51,959 Speaker 1: elected play on a platform largely of reforming corruption in 402 00:23:52,000 --> 00:23:56,040 Speaker 1: the police force. Oh okay, the police were the a 403 00:23:56,200 --> 00:23:59,119 Speaker 1: city that has gun violence stretching back for decades. The 404 00:23:59,240 --> 00:24:02,480 Speaker 1: problem is is we haven't been hard enough on the cops. 405 00:24:02,840 --> 00:24:06,840 Speaker 1: This is a fallacy from progressives. I'm curious how this 406 00:24:06,880 --> 00:24:11,440 Speaker 1: plays out because I think that she is almost assuredly 407 00:24:11,520 --> 00:24:14,680 Speaker 1: going to lose. And if she is almost assuredly going 408 00:24:14,720 --> 00:24:18,080 Speaker 1: to lose, my question would be, is this going to 409 00:24:18,119 --> 00:24:23,240 Speaker 1: be seen as a shot at the diversity and inclusion mafia. 410 00:24:23,280 --> 00:24:25,000 Speaker 1: I think it's fair to call him like a mafia 411 00:24:25,080 --> 00:24:28,399 Speaker 1: because Biden was bragging yesterday if you saw it, buck 412 00:24:28,720 --> 00:24:32,720 Speaker 1: about this is the most diverse cabinet that's ever existed. 413 00:24:33,320 --> 00:24:35,280 Speaker 1: And I saw a good ad that was put out 414 00:24:35,280 --> 00:24:37,960 Speaker 1: by Stephen Miller's group and it really brought it home. 415 00:24:38,760 --> 00:24:41,160 Speaker 1: Do you ever walk onto an airplane and think, man, 416 00:24:41,200 --> 00:24:44,880 Speaker 1: I hope the pilots are really diverse here, or if 417 00:24:44,920 --> 00:24:49,760 Speaker 1: you're rushing into a hospital because you've got somebody injured 418 00:24:50,200 --> 00:24:52,440 Speaker 1: in your family. Do you think, oh, man, I hope 419 00:24:52,440 --> 00:24:55,119 Speaker 1: they have a really diverse er staff here, or do 420 00:24:55,160 --> 00:24:58,639 Speaker 1: you think I want the best damned person flying this 421 00:24:58,760 --> 00:25:03,600 Speaker 1: plane or taking care of my injured family member. And 422 00:25:03,640 --> 00:25:06,600 Speaker 1: the reason why I bring that up is there has 423 00:25:06,640 --> 00:25:10,080 Speaker 1: been this diversity and inclusion mafia where oh, we have 424 00:25:10,119 --> 00:25:12,960 Speaker 1: to have Lori Lightfoot in the mayor's office because she's 425 00:25:12,960 --> 00:25:16,240 Speaker 1: a black lesbian, and then you're like, Okay, that's fine. 426 00:25:16,320 --> 00:25:18,440 Speaker 1: But then she gets in and does an awful job, 427 00:25:18,840 --> 00:25:21,600 Speaker 1: and I wonder if that's going to destroy some of 428 00:25:21,600 --> 00:25:25,320 Speaker 1: this cosmetic theater aspect of let's pick the best person 429 00:25:25,400 --> 00:25:28,840 Speaker 1: for the job, regardless of what their background is. From 430 00:25:28,840 --> 00:25:32,679 Speaker 1: a pure identity politics perspective, this obviously has come up. 431 00:25:32,760 --> 00:25:36,200 Speaker 1: This concept has come up in the context of airline 432 00:25:36,320 --> 00:25:40,240 Speaker 1: pilots and air traffic controllers and some of the issues 433 00:25:40,280 --> 00:25:42,480 Speaker 1: that we've seen recently. I know Tucker has raised this 434 00:25:42,920 --> 00:25:47,800 Speaker 1: on his show on Fox. One of the fundamental problems 435 00:25:47,880 --> 00:25:53,359 Speaker 1: of the diversity and inclusion mantra is that you always 436 00:25:53,400 --> 00:25:56,840 Speaker 1: see this when this is implemented as the loosening of 437 00:25:56,920 --> 00:26:02,960 Speaker 1: objective standards to achieve more diversity and inclusion essentially, and 438 00:26:03,600 --> 00:26:05,520 Speaker 1: maybe the most obvious example of this, there's a lot 439 00:26:05,560 --> 00:26:08,359 Speaker 1: of them, would be in the military. Right you change, okay, 440 00:26:08,359 --> 00:26:11,440 Speaker 1: we need more combat marines who are female. The only 441 00:26:11,440 --> 00:26:14,399 Speaker 1: way you're getting more combat capable marines who are female 442 00:26:14,840 --> 00:26:17,800 Speaker 1: and the numbers they want is to stop caring about 443 00:26:18,080 --> 00:26:20,440 Speaker 1: how fast can you run with a pack on you? 444 00:26:20,840 --> 00:26:23,720 Speaker 1: How accurately can you fire after marching eight miles? I 445 00:26:23,720 --> 00:26:27,960 Speaker 1: mean all of the basics of infantry tactics and ability. 446 00:26:28,520 --> 00:26:31,560 Speaker 1: You have to change the standards. And then what they 447 00:26:31,600 --> 00:26:34,879 Speaker 1: do is they change the standards whatever objective metrics the 448 00:26:34,960 --> 00:26:38,159 Speaker 1: profession has. And you're a bad person if you say, 449 00:26:38,560 --> 00:26:42,240 Speaker 1: hold on a second, you're changing the standards. So that 450 00:26:42,240 --> 00:26:45,520 Speaker 1: means we're going to have in the aggregate, a lower 451 00:26:45,640 --> 00:26:49,440 Speaker 1: quality of candidate in that arena, in that skill set, 452 00:26:49,480 --> 00:26:52,080 Speaker 1: in that profession. Right, you're going to have somebody who 453 00:26:52,160 --> 00:26:55,000 Speaker 1: is less capable than you would have if you had 454 00:26:55,000 --> 00:26:57,439 Speaker 1: a different standard set. Again, the military context, this is 455 00:26:57,680 --> 00:27:00,040 Speaker 1: the most clear. The Pentagon did a huge study of 456 00:27:00,040 --> 00:27:02,040 Speaker 1: of marines in this and what are to show, I 457 00:27:02,040 --> 00:27:07,240 Speaker 1: mean catastrophic differences in the combat capability of male female 458 00:27:07,400 --> 00:27:10,160 Speaker 1: for deployed units. When the standards are held the same 459 00:27:10,200 --> 00:27:14,080 Speaker 1: as to post it. You know, this is where the 460 00:27:14,119 --> 00:27:16,840 Speaker 1: cognitive dissonance comes in. If they're going to make a 461 00:27:16,960 --> 00:27:21,600 Speaker 1: police force more diverse and inclusive by making it easier 462 00:27:21,840 --> 00:27:24,320 Speaker 1: by the numbers and by the testing and everything else 463 00:27:24,320 --> 00:27:27,240 Speaker 1: to become a police officer, eliminating criminal background checks, etc. 464 00:27:27,600 --> 00:27:30,040 Speaker 1: Whatever it is they're going to do, well, then you're 465 00:27:30,040 --> 00:27:32,040 Speaker 1: going to have a less capable police force, aren't you, 466 00:27:32,080 --> 00:27:33,840 Speaker 1: Which were then what's the point of the standards in 467 00:27:33,840 --> 00:27:36,920 Speaker 1: the first place, which directly could be argued to tie 468 00:27:36,960 --> 00:27:40,320 Speaker 1: into what happened to Tyree Nichols in Memphis? Right, there 469 00:27:40,400 --> 00:27:43,320 Speaker 1: is an argument that the lessening of standards in the 470 00:27:43,359 --> 00:27:47,639 Speaker 1: Memphis Police Department allowed those five police officers to be 471 00:27:47,760 --> 00:27:50,720 Speaker 1: in a position where they may well, based on the 472 00:27:50,720 --> 00:27:54,120 Speaker 1: footage we saw, have committed murder of Tyree Nichols. By 473 00:27:54,119 --> 00:27:58,399 Speaker 1: the way, how quickly did that story vanish buck? Tyree 474 00:27:58,480 --> 00:28:01,760 Speaker 1: Nichols video far worse than in my opinion, the George 475 00:28:01,800 --> 00:28:04,600 Speaker 1: Floyd video. Right, if you look at what they did 476 00:28:04,640 --> 00:28:07,080 Speaker 1: to him, um and yes it was that was that 477 00:28:07,200 --> 00:28:09,480 Speaker 1: was murdered by copy. They beat him, They beat him. 478 00:28:09,480 --> 00:28:11,640 Speaker 1: Man in custody to death. That is what happened there, 479 00:28:11,720 --> 00:28:13,960 Speaker 1: and we saw that right away. Yeah, and they stopped talking. 480 00:28:14,000 --> 00:28:18,400 Speaker 1: That has the bl No marches whatsoever, No, none of that. 481 00:28:18,800 --> 00:28:21,159 Speaker 1: I mean, sorry, for twenty four hours, there were some 482 00:28:21,200 --> 00:28:24,119 Speaker 1: marches over the way, and then then it all faded away. 483 00:28:24,359 --> 00:28:26,240 Speaker 1: No riots, I should say, which is a good thing, 484 00:28:26,280 --> 00:28:29,000 Speaker 1: by the way, But it's interesting that the left treats 485 00:28:29,040 --> 00:28:33,280 Speaker 1: the circumstance so very differently. You see. I just bring 486 00:28:33,280 --> 00:28:36,240 Speaker 1: it back to Chicago. I would want to ask the 487 00:28:36,280 --> 00:28:39,600 Speaker 1: residents of Chicago what else has to happen here for 488 00:28:39,640 --> 00:28:42,280 Speaker 1: you to want somebody more competent, capable, and who believes 489 00:28:42,280 --> 00:28:46,960 Speaker 1: in police more and doesn't play diversity and inclusion politics 490 00:28:47,000 --> 00:28:51,360 Speaker 1: with every major decision, especially decisions that involve keeping people alive, 491 00:28:51,520 --> 00:28:58,120 Speaker 1: public safety, stopping old ladies of all colors from being mugged, beaten, robbed, 492 00:28:58,560 --> 00:29:01,040 Speaker 1: and all people, not just old lady. What else has 493 00:29:01,040 --> 00:29:05,320 Speaker 1: to happen? That's a great question. Maybe we'll find out 494 00:29:05,360 --> 00:29:07,840 Speaker 1: some of these results coming in from Chicago tonight. US 495 00:29:07,960 --> 00:29:10,480 Speaker 1: News and World Report. You know, they rank all sorts 496 00:29:10,520 --> 00:29:12,400 Speaker 1: of things, and one of the things they rank is 497 00:29:12,480 --> 00:29:15,560 Speaker 1: K to twelve education. According to them, New Jersey's the 498 00:29:15,600 --> 00:29:19,840 Speaker 1: top state, followed by Massachusetts, Florida, Washington, and Colorado. On 499 00:29:19,880 --> 00:29:22,960 Speaker 1: the other hand, the lowest ranking states, again by US 500 00:29:23,040 --> 00:29:27,800 Speaker 1: News and World Report, New Mexico, Alaska, Arizona, Nevada, and Louisiana. 501 00:29:27,880 --> 00:29:31,520 Speaker 1: New Mexico is dead last in this study. No matter 502 00:29:31,560 --> 00:29:34,120 Speaker 1: where you'll live, public education needs your help, or at 503 00:29:34,200 --> 00:29:38,680 Speaker 1: least your interest. Hillsdale's College President Larry Arne, doctor Larry 504 00:29:38,760 --> 00:29:41,760 Speaker 1: arn shared his observations in a recent copy of Imprimus, 505 00:29:42,000 --> 00:29:45,920 Speaker 1: the Hillsdale monthly publication delivered to six million plus homes. 506 00:29:46,240 --> 00:29:48,800 Speaker 1: It's worth reading and learning from, so much so that 507 00:29:48,840 --> 00:29:50,600 Speaker 1: you'll want to share it with your family and friends. 508 00:29:51,040 --> 00:29:53,880 Speaker 1: Let Hillsdale College send you a handful of copies to 509 00:29:53,880 --> 00:29:57,320 Speaker 1: share with your friends and family. Special issue provides a 510 00:29:57,360 --> 00:30:00,680 Speaker 1: factual account of the issues in the ongoing battle of education. 511 00:30:01,080 --> 00:30:04,600 Speaker 1: It's informative and worth your time. Register to get your 512 00:30:04,600 --> 00:30:08,600 Speaker 1: free copies of Education as a Battleground by visiting Clay 513 00:30:08,680 --> 00:30:12,640 Speaker 1: and Buck four Hillsdale dot com. That's Clay and Buck 514 00:30:12,880 --> 00:30:18,480 Speaker 1: four Hillsdale dot com. Clay Travis at buck Sexton. Making 515 00:30:18,600 --> 00:30:22,719 Speaker 1: sense in an insane world. Mcrats have a habit of 516 00:30:22,920 --> 00:30:28,040 Speaker 1: doing things from the presidency that they have already said 517 00:30:28,120 --> 00:30:30,800 Speaker 1: they meeting. The president doesn't have the right to do 518 00:30:31,520 --> 00:30:35,400 Speaker 1: Barack Obama did this, Joe Biden has done this, and 519 00:30:35,480 --> 00:30:38,760 Speaker 1: in one of these instances, well, I guess Nancy Pelosi 520 00:30:38,840 --> 00:30:40,600 Speaker 1: was the one who actually said Biden doesn't have the 521 00:30:40,640 --> 00:30:44,600 Speaker 1: authority to do this. But it's pretty important Democrat in 522 00:30:44,760 --> 00:30:48,400 Speaker 1: a pay You had a hearing this morning by the 523 00:30:48,400 --> 00:30:52,080 Speaker 1: Supreme Court of a case having to do with student 524 00:30:52,360 --> 00:30:56,560 Speaker 1: loan forgiveness or the cancelation of debt. Is really what 525 00:30:56,600 --> 00:31:01,600 Speaker 1: this is, loan forgiveness is the is the politically expedient term. 526 00:31:01,680 --> 00:31:05,160 Speaker 1: What it really is is the Biden administration because Biden, 527 00:31:05,200 --> 00:31:07,640 Speaker 1: when he was campaigning for president in twenty twenty, he 528 00:31:07,680 --> 00:31:09,760 Speaker 1: said he would cancel at least ten thousand dollars of 529 00:31:09,760 --> 00:31:14,720 Speaker 1: student loan debt for qualified borrowers. And then Biden said, actually, 530 00:31:14,760 --> 00:31:18,160 Speaker 1: it's going to be twenty thousand dollars for those who qualify. 531 00:31:18,440 --> 00:31:23,480 Speaker 1: And the pandemic has become the excuse here that they 532 00:31:23,680 --> 00:31:28,920 Speaker 1: use the Heroes Act, which was a law passed after 533 00:31:28,960 --> 00:31:32,320 Speaker 1: September eleventh that gave the Secretary of Education, among many 534 00:31:32,400 --> 00:31:37,040 Speaker 1: other things in the law, the ability to use student 535 00:31:37,080 --> 00:31:39,920 Speaker 1: loan programs so that borrowers were not in a worse 536 00:31:40,040 --> 00:31:43,000 Speaker 1: position because of that national emergency or because of a 537 00:31:43,080 --> 00:31:45,920 Speaker 1: national emergency. So now it is the position of the 538 00:31:45,920 --> 00:31:49,320 Speaker 1: Biden administration that the post September eleventh Heroes Act allows 539 00:31:49,400 --> 00:31:54,640 Speaker 1: them to wipe away basically half a trillion dollars of debt. 540 00:31:55,320 --> 00:31:58,880 Speaker 1: And now Clay there are two challenges or from two directions, 541 00:31:58,880 --> 00:32:01,000 Speaker 1: there have been legal challenge to this. One is from 542 00:32:01,040 --> 00:32:04,280 Speaker 1: states one or from individuals. States are saying hold on. 543 00:32:04,320 --> 00:32:07,720 Speaker 1: A second, by doing this in a number of different capacities, 544 00:32:07,840 --> 00:32:12,240 Speaker 1: it affects US financially, meaning the States financially. If you're 545 00:32:12,280 --> 00:32:14,600 Speaker 1: just say yeah, no more of this money, you don't 546 00:32:14,640 --> 00:32:17,920 Speaker 1: have to pay it back. Individuals or one individual as 547 00:32:17,920 --> 00:32:19,800 Speaker 1: sued that's made its way up as part of this 548 00:32:20,400 --> 00:32:23,200 Speaker 1: saying well, hold on, I have commercial student loan debt, 549 00:32:23,520 --> 00:32:26,760 Speaker 1: so I don't qualify for the full twenty thousand. I 550 00:32:26,800 --> 00:32:29,240 Speaker 1: only can get the ten thousand from the federal government. 551 00:32:29,760 --> 00:32:33,760 Speaker 1: So there are standing issues, issues of standing that were 552 00:32:33,800 --> 00:32:38,720 Speaker 1: raised this morning before the court. My sense is, oh, 553 00:32:38,800 --> 00:32:42,720 Speaker 1: and then they get into major questions doctrine, as in, 554 00:32:43,360 --> 00:32:45,440 Speaker 1: can the president just be like, you know what, This 555 00:32:45,520 --> 00:32:48,280 Speaker 1: isn't a minor administrative thing. This is a big deal, 556 00:32:48,400 --> 00:32:51,120 Speaker 1: and I'm just going to decide instead of having Congress 557 00:32:51,160 --> 00:32:54,920 Speaker 1: decide that you can just say half a trillion dollars 558 00:32:54,920 --> 00:32:58,840 Speaker 1: of spending, or rather half a trillion dollars of loans 559 00:32:58,880 --> 00:33:02,080 Speaker 1: of money owed back, the federal government just goes away, 560 00:33:02,400 --> 00:33:05,480 Speaker 1: which really socializes the cost everybody else in the country. 561 00:33:06,400 --> 00:33:09,440 Speaker 1: My sense is they're going to get past the standing 562 00:33:09,480 --> 00:33:12,440 Speaker 1: issue and you're gonna have a six three decision here, 563 00:33:13,000 --> 00:33:16,400 Speaker 1: and once again it will be an example of Biden 564 00:33:16,920 --> 00:33:20,440 Speaker 1: executive overreach that gets slapped down by the court, but 565 00:33:20,680 --> 00:33:22,920 Speaker 1: no real consequence is beyond that. I think it just 566 00:33:22,960 --> 00:33:26,120 Speaker 1: shows as clay that they the attitude of Democrats when 567 00:33:26,120 --> 00:33:28,120 Speaker 1: they're in power is do as much as you can, 568 00:33:28,320 --> 00:33:31,680 Speaker 1: even if it's unconstitutional, because it'll take a long time 569 00:33:31,720 --> 00:33:33,960 Speaker 1: for it to be seen as such, and you get 570 00:33:33,960 --> 00:33:35,960 Speaker 1: the political benefit in the short term in this case, 571 00:33:36,520 --> 00:33:40,280 Speaker 1: basically paying off the voters. It's exactly what's going on here. 572 00:33:40,320 --> 00:33:41,840 Speaker 1: I think it's going to be a six to three 573 00:33:41,880 --> 00:33:45,520 Speaker 1: decision the standing issue. And this is something that if 574 00:33:45,560 --> 00:33:50,760 Speaker 1: you are a law professor, you would love like you 575 00:33:50,920 --> 00:33:54,320 Speaker 1: dive into it, because basically you have to prove that 576 00:33:54,440 --> 00:33:57,520 Speaker 1: you can bring a case in front of the court 577 00:33:58,000 --> 00:34:01,000 Speaker 1: that you have the standing is the way to easily 578 00:34:01,040 --> 00:34:04,160 Speaker 1: summarize it to in some way be rectified by an 579 00:34:04,200 --> 00:34:06,880 Speaker 1: act for the court. And so they are trying to 580 00:34:06,960 --> 00:34:10,520 Speaker 1: argue this is probably the strongest actual legal argument, is 581 00:34:10,560 --> 00:34:13,880 Speaker 1: that there isn't someone who is able or a state 582 00:34:13,960 --> 00:34:17,720 Speaker 1: that is able to bring this challenge. What Joe Biden 583 00:34:17,760 --> 00:34:22,280 Speaker 1: tried to do is just wipe the slate for five 584 00:34:22,440 --> 00:34:27,200 Speaker 1: hundred billion dollars in student loans and basically shift because 585 00:34:27,200 --> 00:34:30,840 Speaker 1: the debt's not going away. He's just taking the debt 586 00:34:31,080 --> 00:34:35,080 Speaker 1: from the individuals and putting it onto the books of 587 00:34:35,120 --> 00:34:40,720 Speaker 1: the federal government. And so this process without any legislative 588 00:34:41,000 --> 00:34:45,040 Speaker 1: authority is unconstitutional. It's an overreach. I think that's likely 589 00:34:45,080 --> 00:34:47,120 Speaker 1: what is going to be happened when this story happened. 590 00:34:47,120 --> 00:34:49,200 Speaker 1: Buck I came on, I said, the Supreme Court's going 591 00:34:49,280 --> 00:34:50,719 Speaker 1: to strike this down. This is what's gonna how it's 592 00:34:50,760 --> 00:34:53,520 Speaker 1: gonna break down. But what you hit on is, I 593 00:34:53,560 --> 00:34:58,279 Speaker 1: think the sort of political calculus that was involved here. 594 00:34:59,120 --> 00:35:04,720 Speaker 1: Don't miss what happen happen right before the midterms. Joe Biden, 595 00:35:05,200 --> 00:35:08,719 Speaker 1: knowing that he wanted to drive up young voters turnout 596 00:35:08,840 --> 00:35:12,880 Speaker 1: as much as he could. Said, I'm giving you an 597 00:35:12,880 --> 00:35:16,239 Speaker 1: incredible gift. Year's four to five hundred billion, depending on 598 00:35:16,680 --> 00:35:19,680 Speaker 1: what estimate you look at. That I'm just taking off 599 00:35:19,719 --> 00:35:23,960 Speaker 1: of your responsibility. And a bunch of young people went 600 00:35:24,000 --> 00:35:26,359 Speaker 1: out and they voted for Joe Biden because they said, 601 00:35:26,400 --> 00:35:30,160 Speaker 1: this is Joe Biden taking care of my generation. And 602 00:35:30,200 --> 00:35:32,359 Speaker 1: then now it's going to go to the Supreme Court. 603 00:35:32,480 --> 00:35:35,400 Speaker 1: Supreme Court's going to strike it down. Joe Biden is 604 00:35:35,400 --> 00:35:36,839 Speaker 1: going to come out and what is he going to say? 605 00:35:37,280 --> 00:35:40,640 Speaker 1: This is what happens when you have a conservative Donald 606 00:35:40,680 --> 00:35:45,080 Speaker 1: Trump appointed Supreme Court. They will not allow me, good 607 00:35:45,120 --> 00:35:49,240 Speaker 1: old uncle Joe to give you young people the debt 608 00:35:49,280 --> 00:35:52,800 Speaker 1: relief that you deserve. And that's why you have to 609 00:35:52,920 --> 00:35:56,439 Speaker 1: vote for me in twenty twenty four, because we'll take 610 00:35:56,480 --> 00:35:59,080 Speaker 1: this to Congress and we'll get this passed and we'll 611 00:35:59,120 --> 00:36:02,120 Speaker 1: deliver that debt relief to you. This is all I mean. 612 00:36:02,719 --> 00:36:05,200 Speaker 1: Moment it happened, Buck, I said, this is a masterful 613 00:36:05,200 --> 00:36:09,239 Speaker 1: political stroke. It's wildly unconstitutional, but there will be no 614 00:36:09,320 --> 00:36:13,800 Speaker 1: consequences because they will play it in twenty two. Maybe 615 00:36:13,840 --> 00:36:16,759 Speaker 1: it made twenty thousand, two hundred thousand, two million. I 616 00:36:16,800 --> 00:36:19,560 Speaker 1: don't know extra voters go out and be more likely 617 00:36:19,600 --> 00:36:23,120 Speaker 1: to vote for the Democrat, and then in twenty twenty 618 00:36:23,120 --> 00:36:25,640 Speaker 1: four he'll come back and say, I tried to do 619 00:36:25,680 --> 00:36:28,040 Speaker 1: it for you, but that awful Donald Trump and his 620 00:36:28,080 --> 00:36:30,560 Speaker 1: Supreme Court kept me from doing for me doing it 621 00:36:30,560 --> 00:36:32,399 Speaker 1: for you. But I'll do it for you next time 622 00:36:32,400 --> 00:36:34,239 Speaker 1: if you vote for me in twenty four. That's the 623 00:36:34,280 --> 00:36:37,880 Speaker 1: story here. That's what's gonna happen. Yeah, it's a legal 624 00:36:37,960 --> 00:36:41,800 Speaker 1: laws looming, but a political win in the making anyway, 625 00:36:41,840 --> 00:36:47,880 Speaker 1: because ultimately Democrats always run as Santa Clause, a chubby, 626 00:36:48,000 --> 00:36:51,680 Speaker 1: garrulous fellow who has lots of free goodies to give 627 00:36:51,719 --> 00:36:54,600 Speaker 1: out to everybody. That is the Democrat approaches. We're just 628 00:36:54,640 --> 00:36:57,080 Speaker 1: gonna give you lots of free stuff. There's all this 629 00:36:57,239 --> 00:37:00,680 Speaker 1: free and just the big mean Republic can stand in 630 00:37:00,719 --> 00:37:02,719 Speaker 1: the way of all the toys we have here in 631 00:37:02,760 --> 00:37:06,080 Speaker 1: the bag for you. If only we were in charge, 632 00:37:06,080 --> 00:37:08,000 Speaker 1: everything would be so much better because of all the 633 00:37:08,040 --> 00:37:11,120 Speaker 1: free stuff. Unfortunately, that that works a lot of the 634 00:37:11,120 --> 00:37:14,800 Speaker 1: time with a lot of people. It's short term thinking 635 00:37:14,960 --> 00:37:18,840 Speaker 1: over long term reality. And with the student loan debt issue. 636 00:37:19,239 --> 00:37:21,040 Speaker 1: There are so many ways you can come at this. 637 00:37:21,160 --> 00:37:22,880 Speaker 1: I mean, one of them is so the people that 638 00:37:22,920 --> 00:37:25,000 Speaker 1: have already paid off their debts, you know, too bad 639 00:37:25,000 --> 00:37:27,280 Speaker 1: for you. You know you waited to buy that house, 640 00:37:27,320 --> 00:37:29,760 Speaker 1: too bad, You waited to buy that new car too bad. 641 00:37:29,880 --> 00:37:32,720 Speaker 1: You know, you should have waited for Uncle Joe Biden 642 00:37:32,760 --> 00:37:36,120 Speaker 1: to show up and give you taxpayer dollars and to 643 00:37:36,480 --> 00:37:39,080 Speaker 1: break effectively the contract that people sign when they get 644 00:37:39,120 --> 00:37:42,520 Speaker 1: this money for college. So that's a that's a big 645 00:37:42,560 --> 00:37:43,959 Speaker 1: part of it. And then there's all the other debts 646 00:37:43,960 --> 00:37:46,520 Speaker 1: that people hold. Are the people that forego college altogether 647 00:37:46,960 --> 00:37:49,400 Speaker 1: so they can work in a trade and not be 648 00:37:49,520 --> 00:37:51,919 Speaker 1: in debt. I went to undergrad to play. I didn't 649 00:37:51,960 --> 00:37:53,640 Speaker 1: go to grad school, Yeah, because I want to work 650 00:37:53,640 --> 00:37:57,319 Speaker 1: in media. Sure. Also I didn't want to run up 651 00:37:57,360 --> 00:38:00,160 Speaker 1: a two hundred and something thousand dollars debt for an 652 00:38:00,200 --> 00:38:02,520 Speaker 1: MBA from some fancy school and then hope that someone 653 00:38:02,560 --> 00:38:04,600 Speaker 1: pays me enough to pay it off. So I mean 654 00:38:04,640 --> 00:38:06,759 Speaker 1: I looked at this. If someone said you you could 655 00:38:06,760 --> 00:38:09,120 Speaker 1: go to get an MBA for free, I would have 656 00:38:09,120 --> 00:38:10,960 Speaker 1: probably had a very different feeling about the whole thing. 657 00:38:11,080 --> 00:38:12,480 Speaker 1: Or even if they were gonna tell me tens of 658 00:38:12,520 --> 00:38:17,120 Speaker 1: thousands of dollars would go toward it, no questions asked. Yeah, Look, 659 00:38:17,160 --> 00:38:19,400 Speaker 1: I didn't pay off all my student loan debts until 660 00:38:19,440 --> 00:38:23,480 Speaker 1: I was in my upper thirties, I think, and in 661 00:38:23,760 --> 00:38:27,920 Speaker 1: a large percentage the data reflects of these forgiven loans 662 00:38:28,000 --> 00:38:31,000 Speaker 1: actually are grad school loans, so it's not like somebody 663 00:38:31,040 --> 00:38:34,279 Speaker 1: who was really struggling to put themselves through. And I'll 664 00:38:34,320 --> 00:38:37,719 Speaker 1: just add, this will be at least the third direct 665 00:38:38,239 --> 00:38:42,880 Speaker 1: overturn of unconstitutional action by Joe Biden in the last 666 00:38:43,000 --> 00:38:46,839 Speaker 1: when it happens in the last what six months a year? 667 00:38:47,360 --> 00:38:50,960 Speaker 1: Remember the eviction moratorium, Joe Biden tried to extend it 668 00:38:51,600 --> 00:38:56,320 Speaker 1: without congressional authority, it was shot down. The COVID shot mandate, 669 00:38:56,680 --> 00:39:01,760 Speaker 1: again without congressional authority. He was trying to use OSHA 670 00:39:01,840 --> 00:39:05,839 Speaker 1: as the opportunity to do that, and now he's trying 671 00:39:05,880 --> 00:39:09,880 Speaker 1: to use I think it's worth mentioning this, you know, 672 00:39:09,920 --> 00:39:14,719 Speaker 1: emergency as defined from the two thousand and one Act 673 00:39:14,800 --> 00:39:18,120 Speaker 1: or whatever. But we're not in an emergency starting in May. 674 00:39:18,800 --> 00:39:22,600 Speaker 1: So the COVID emergency, even by Joe Biden's own definition, 675 00:39:22,840 --> 00:39:25,160 Speaker 1: effectively ends in May. When he said He's going to 676 00:39:25,200 --> 00:39:28,040 Speaker 1: wave his magic wand and suddenly COVID is gone. So 677 00:39:28,080 --> 00:39:32,440 Speaker 1: this is gonna be three straight Trump Supreme Court appointed 678 00:39:32,520 --> 00:39:36,200 Speaker 1: realities that have kept him from behaving in an unconstitutional fashion. 679 00:39:36,719 --> 00:39:39,800 Speaker 1: You laid out all the times that Biden has acted 680 00:39:39,800 --> 00:39:42,439 Speaker 1: in an unconstitutional fashion, which is another way of saying, 681 00:39:42,440 --> 00:39:47,080 Speaker 1: this is abused executive authority in a way that is unconstitutional, 682 00:39:47,520 --> 00:39:52,319 Speaker 1: violated the Constitution. Barack Obama had to be overturned by 683 00:39:52,320 --> 00:39:58,040 Speaker 1: the Supreme Court his actions as president thirteen times. Thirteen times, 684 00:39:58,080 --> 00:40:00,640 Speaker 1: the Obama administration, you know, all the way to the 685 00:40:00,640 --> 00:40:02,200 Speaker 1: Supreme Court saying we have the right to do this 686 00:40:02,239 --> 00:40:03,719 Speaker 1: in the Supreme Court, which, by the way, it was 687 00:40:03,760 --> 00:40:06,000 Speaker 1: a different court and a more narrowly divided one that 688 00:40:06,080 --> 00:40:09,440 Speaker 1: even this one said no, you can't actually do that, 689 00:40:10,120 --> 00:40:12,239 Speaker 1: Like you can't tell the Senate when the Senate is 690 00:40:12,280 --> 00:40:14,400 Speaker 1: in session just because you feel like it because you're president. 691 00:40:14,440 --> 00:40:16,600 Speaker 1: I mean, there are a whole range of things. This 692 00:40:16,680 --> 00:40:18,600 Speaker 1: is one that I think Trump does not get enough 693 00:40:18,640 --> 00:40:24,239 Speaker 1: attention for and praise. He went three for three with 694 00:40:24,719 --> 00:40:30,200 Speaker 1: arguably three moonshots on his Supreme Court appointments. I mean, 695 00:40:30,320 --> 00:40:32,600 Speaker 1: I really do mean that, because if you look at 696 00:40:32,640 --> 00:40:37,160 Speaker 1: how squishy some of the Republican appointees have been in 697 00:40:37,239 --> 00:40:40,440 Speaker 1: terms of what you can rely on them doing. Trump 698 00:40:40,520 --> 00:40:44,799 Speaker 1: stepped into the batter's box and went yard three straight times. Now, 699 00:40:44,840 --> 00:40:47,520 Speaker 1: you can still quibble with some of the individual decisions 700 00:40:47,560 --> 00:40:50,319 Speaker 1: at times, but these are three studs he put onto 701 00:40:50,320 --> 00:40:54,120 Speaker 1: the Supreme Court. Trump gets. For anybody that I know 702 00:40:54,239 --> 00:40:56,719 Speaker 1: and talk to about this across the board, I have 703 00:40:56,800 --> 00:41:00,520 Speaker 1: not met anybody who just Trump, all things considered, gets 704 00:41:00,520 --> 00:41:04,279 Speaker 1: an a plus on judges, which is a big deal, yes, 705 00:41:05,239 --> 00:41:08,080 Speaker 1: and doesn't get talked about enough. And I think he 706 00:41:08,160 --> 00:41:12,600 Speaker 1: deserves tremendous praise for this, because that court is going 707 00:41:12,680 --> 00:41:15,239 Speaker 1: to last longer than a lot of our lives, and 708 00:41:15,280 --> 00:41:17,319 Speaker 1: they're gonna make a lot of big differences. Pure Talk 709 00:41:17,400 --> 00:41:20,440 Speaker 1: saves the average sized family over nine hundred dollars a 710 00:41:20,520 --> 00:41:22,840 Speaker 1: year when they switch from Verizon AT and T or 711 00:41:22,880 --> 00:41:26,640 Speaker 1: T Mobile. 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Switch over in as little as ten minutes, 721 00:41:51,920 --> 00:41:55,160 Speaker 1: keep your same phone and you're same phone number. You 722 00:41:55,200 --> 00:41:58,560 Speaker 1: can also rely on great customer service since Pure Talks 723 00:41:58,560 --> 00:42:01,160 Speaker 1: based right here in the good old USA. They're even 724 00:42:01,239 --> 00:42:03,920 Speaker 1: founded by a US veteran, and that's why they're proud 725 00:42:03,960 --> 00:42:06,200 Speaker 1: to offer you a money back guarantee. How do you 726 00:42:06,280 --> 00:42:09,800 Speaker 1: do it? Just dial pound two fifty say Clay and 727 00:42:09,920 --> 00:42:13,480 Speaker 1: Buck to say fifty percent off your first month. That's 728 00:42:13,560 --> 00:42:17,680 Speaker 1: pound two five zero say Clay and Buck. Pure Talk 729 00:42:17,800 --> 00:42:23,279 Speaker 1: is simply smarter. Wireless restrictions apply. C site for details. 730 00:42:23,280 --> 00:42:26,799 Speaker 1: Downloading news the new Clay and Bucks, Listen to the 731 00:42:26,840 --> 00:42:29,600 Speaker 1: program live, catch up on any part of the show 732 00:42:29,640 --> 00:42:32,480 Speaker 1: you might have missed. You you're c in B twenty 733 00:42:32,480 --> 00:42:35,680 Speaker 1: four to seven subscription to get access to the guys. 734 00:42:35,680 --> 00:42:38,080 Speaker 1: Find the Clay and Buck app in your app store 735 00:42:38,120 --> 00:42:41,000 Speaker 1: and make it part of your day. Tuesday edition Clay 736 00:42:41,080 --> 00:42:45,120 Speaker 1: Travis Buck Sexton Show. We are joined now by Florida 737 00:42:45,200 --> 00:42:47,840 Speaker 1: Governor Ron de Santis. He has a brand new book 738 00:42:47,920 --> 00:42:50,040 Speaker 1: that is out right now that I know many of 739 00:42:50,080 --> 00:42:53,640 Speaker 1: you will be checking out. And as we bring in 740 00:42:53,800 --> 00:42:56,800 Speaker 1: the governor, what'd you find the writing of a book 741 00:42:57,200 --> 00:43:00,960 Speaker 1: like compared to the other aspects of being a governor 742 00:43:01,080 --> 00:43:04,239 Speaker 1: and a leader. What was the bookwriting process like for you? Well, 743 00:43:04,239 --> 00:43:07,160 Speaker 1: it gave me the chance to kind of reflect on 744 00:43:07,560 --> 00:43:10,440 Speaker 1: what Florida has done over the last four years and 745 00:43:10,840 --> 00:43:13,960 Speaker 1: what it's meant really for the country, because we've had 746 00:43:14,000 --> 00:43:16,680 Speaker 1: so many people that have come to Florida to visit, 747 00:43:16,800 --> 00:43:19,360 Speaker 1: to escape some of the bad policies and other parts 748 00:43:19,360 --> 00:43:22,400 Speaker 1: of the country, and even to uproot their families and 749 00:43:23,080 --> 00:43:27,000 Speaker 1: make Florida their home. And I think it's a great 750 00:43:27,040 --> 00:43:30,719 Speaker 1: story because we see the federal government floundering, we see 751 00:43:30,760 --> 00:43:34,160 Speaker 1: some of these big blue states floundering, and yet Florida 752 00:43:34,200 --> 00:43:37,680 Speaker 1: as an example that you know you can succeed. Yeah, 753 00:43:37,680 --> 00:43:39,520 Speaker 1: you got to stand in there, you got to fight 754 00:43:39,560 --> 00:43:43,000 Speaker 1: against a lot of entrenched interests, but you can beat 755 00:43:43,080 --> 00:43:46,040 Speaker 1: the left wing elites and you can deliver real results 756 00:43:46,040 --> 00:43:48,480 Speaker 1: for the people that you represent. And not only that, 757 00:43:48,960 --> 00:43:52,680 Speaker 1: but they will respond in record fashion by giving you 758 00:43:52,719 --> 00:43:55,399 Speaker 1: a big victory. Because I got elected with thirty two 759 00:43:55,400 --> 00:43:59,319 Speaker 1: thousand votes in twenty eighteen. Come November of twenty twenty two, 760 00:43:59,440 --> 00:44:02,760 Speaker 1: after four years of successes, we won by one point 761 00:44:02,760 --> 00:44:05,960 Speaker 1: five million votes. Hey, Governor, it's Buck. You know, I know. 762 00:44:06,000 --> 00:44:09,080 Speaker 1: The book is The Courage to Be Free, Florida's blueprint 763 00:44:09,160 --> 00:44:12,239 Speaker 1: for America's revival. I want to we want to ask 764 00:44:12,280 --> 00:44:14,760 Speaker 1: you about that blueprint here, of course, But but first 765 00:44:15,040 --> 00:44:19,839 Speaker 1: you mentioned this about how people will respond to good policies. 766 00:44:20,160 --> 00:44:22,640 Speaker 1: Can you just update as the governor, you you certainly 767 00:44:22,640 --> 00:44:27,320 Speaker 1: know the latest update everybody on what has happened in Florida. 768 00:44:27,360 --> 00:44:31,719 Speaker 1: Buy the numbers people moving there, the crime rate, the economy. 769 00:44:32,360 --> 00:44:35,600 Speaker 1: You know you're talking about the success story. Tell everybody 770 00:44:35,640 --> 00:44:38,799 Speaker 1: what that has meant. Sure, so, our crime rates at 771 00:44:38,800 --> 00:44:42,040 Speaker 1: a fifty year or low. We're the nation's fastest growing state. 772 00:44:42,080 --> 00:44:45,239 Speaker 1: We've led the nation in net in migration every year 773 00:44:45,280 --> 00:44:48,600 Speaker 1: that I've been governor. We're number one in economic freedom 774 00:44:48,600 --> 00:44:51,200 Speaker 1: and education freedom. We have one of the lowest per 775 00:44:51,239 --> 00:44:54,720 Speaker 1: capita state tax burdens in America, one of the lowest 776 00:44:54,719 --> 00:44:58,399 Speaker 1: per capita state debt burdens in America, and we have 777 00:44:58,480 --> 00:45:01,640 Speaker 1: the largest budget surplus in the history of the state 778 00:45:01,680 --> 00:45:05,319 Speaker 1: of Florida. When I was elected four years ago, they 779 00:45:05,360 --> 00:45:08,960 Speaker 1: were close to three hundred thousand more registered Democrats in 780 00:45:09,000 --> 00:45:11,640 Speaker 1: the state of Florida than Republicans. And we've never had 781 00:45:11,680 --> 00:45:16,640 Speaker 1: more registered Republicans than Democrats in Florida history. Today we've 782 00:45:16,640 --> 00:45:21,680 Speaker 1: got four hundred and twenty thousand more registered Republicans than Democrats, 783 00:45:21,719 --> 00:45:25,439 Speaker 1: and so I think it shows that the success has 784 00:45:25,520 --> 00:45:29,280 Speaker 1: driven good political results. I think we've had people move 785 00:45:29,360 --> 00:45:32,040 Speaker 1: who've been drawn to the Florida model, and I think 786 00:45:32,080 --> 00:45:35,600 Speaker 1: that they were more likely to agree with me. But 787 00:45:35,640 --> 00:45:37,279 Speaker 1: I do think we've got a lot of people in 788 00:45:37,360 --> 00:45:40,200 Speaker 1: Florida who may have voted the other way in the past, 789 00:45:40,239 --> 00:45:42,840 Speaker 1: who we've been able to convert over our side because 790 00:45:42,880 --> 00:45:45,239 Speaker 1: they've seen that we've been right on these issues. I'm 791 00:45:45,280 --> 00:45:48,759 Speaker 1: talking to Florida Governor Rhna Santis specifically speaking to that 792 00:45:48,920 --> 00:45:51,920 Speaker 1: you started coming on with me on my sports radio 793 00:45:51,960 --> 00:45:55,160 Speaker 1: show to argue that kids needed to be in school, 794 00:45:55,200 --> 00:45:57,160 Speaker 1: that Florida was going to open up, and not only 795 00:45:57,200 --> 00:45:58,560 Speaker 1: are you going to open up, kids are going to 796 00:45:58,600 --> 00:46:01,160 Speaker 1: be able to play high school football in twenty twenty. 797 00:46:01,200 --> 00:46:03,120 Speaker 1: There's a lot of people out there listening to us 798 00:46:03,200 --> 00:46:05,880 Speaker 1: right now who kids didn't get to go to school 799 00:46:05,880 --> 00:46:08,319 Speaker 1: in person. They had to wear masks, something that you 800 00:46:08,400 --> 00:46:11,440 Speaker 1: fought against. They weren't able to play sports. They lost 801 00:46:11,560 --> 00:46:15,400 Speaker 1: a huge part of their educational opportunity because they had 802 00:46:15,440 --> 00:46:18,200 Speaker 1: failed leadership. A state like California is a good example 803 00:46:18,239 --> 00:46:20,919 Speaker 1: of that. What do we need to see? I'm sure 804 00:46:20,960 --> 00:46:23,040 Speaker 1: you saw the Department of Energy now says, oh, this 805 00:46:23,120 --> 00:46:27,319 Speaker 1: loop leaked from COVID did a Wuhan lab. Everything that 806 00:46:27,360 --> 00:46:29,600 Speaker 1: people like you and me and Buck have been arguing 807 00:46:29,640 --> 00:46:33,920 Speaker 1: for years is basically being proven true. What should happen? 808 00:46:34,040 --> 00:46:37,360 Speaker 1: What should a reckoning look like? Given the state of Florida, 809 00:46:37,400 --> 00:46:41,160 Speaker 1: your leadership, you got everything right, and yet it seems 810 00:46:41,160 --> 00:46:44,279 Speaker 1: like most Democrats still don't want to acknowledge all that 811 00:46:44,320 --> 00:46:46,200 Speaker 1: they got wrong. Yeah, I mean I think you know, 812 00:46:46,200 --> 00:46:48,160 Speaker 1: when you and I would talk about the sports, we 813 00:46:48,160 --> 00:46:50,520 Speaker 1: were like some of the only people in the country saying, 814 00:46:50,560 --> 00:46:52,440 Speaker 1: these kids need to be playing sports. I mean, I 815 00:46:52,880 --> 00:46:57,840 Speaker 1: roundly criticized an attack because we said we had UFC 816 00:46:58,120 --> 00:47:00,880 Speaker 1: the first live sporting event after it was Florida in 817 00:47:00,920 --> 00:47:04,920 Speaker 1: May of twenty twenty in Jacksonville, and we got killed 818 00:47:05,280 --> 00:47:07,920 Speaker 1: how the press for doing that, And then we had 819 00:47:07,960 --> 00:47:10,480 Speaker 1: the golf, and we had the youth sports all summer 820 00:47:10,560 --> 00:47:12,960 Speaker 1: and everything. And you look, if your parents didn't want 821 00:47:12,960 --> 00:47:15,200 Speaker 1: their kids playing because of COVID, I don't think that's 822 00:47:15,239 --> 00:47:17,840 Speaker 1: the right decision. But fine, weren't forcing anyone play, but 823 00:47:17,880 --> 00:47:20,600 Speaker 1: we had to allow that. And I'll tell you you 824 00:47:20,680 --> 00:47:24,400 Speaker 1: remember when the Big Ten and the PAC twelve canceled 825 00:47:24,400 --> 00:47:27,200 Speaker 1: the season in the summer of twenty twenty. The SEC 826 00:47:27,560 --> 00:47:30,680 Speaker 1: was moving in that direction and I was working behind 827 00:47:30,680 --> 00:47:33,600 Speaker 1: the scenes, and I said, the University of Florida is 828 00:47:33,640 --> 00:47:38,160 Speaker 1: not going to be party to canceling the college football season. 829 00:47:38,239 --> 00:47:41,000 Speaker 1: And so we got Florida right, and we made sure 830 00:47:41,040 --> 00:47:43,760 Speaker 1: the r ACC schools were in line and they wanted 831 00:47:43,760 --> 00:47:46,000 Speaker 1: to be Florida State in Miami. And so when the 832 00:47:46,160 --> 00:47:48,560 Speaker 1: SEC and the AC said no, no, no, we're playing 833 00:47:49,080 --> 00:47:52,080 Speaker 1: and then they start doing it, that put huge pressure 834 00:47:52,160 --> 00:47:55,000 Speaker 1: on the Big Ten to reverse and they had to 835 00:47:55,160 --> 00:47:58,319 Speaker 1: and it was really embarrassing what ended up happening with them. 836 00:47:58,440 --> 00:48:00,839 Speaker 1: Same thing with our high school season, and they were 837 00:48:01,000 --> 00:48:04,319 Speaker 1: very close because ours is run by a private association, 838 00:48:04,360 --> 00:48:06,800 Speaker 1: it's not run by our Department of Education. This private 839 00:48:06,800 --> 00:48:10,400 Speaker 1: association was very close to canceling false sports. So we 840 00:48:10,440 --> 00:48:13,160 Speaker 1: had to spend a lot of capital to make sure 841 00:48:13,239 --> 00:48:16,719 Speaker 1: that we saved the season, and we did. And now 842 00:48:16,760 --> 00:48:19,759 Speaker 1: people look back and it's like, oh, of course that 843 00:48:19,880 --> 00:48:21,680 Speaker 1: was the right thing to do. But at the time 844 00:48:21,840 --> 00:48:25,480 Speaker 1: we were in the very very small minority. Every single 845 00:48:25,560 --> 00:48:29,000 Speaker 1: expert criticized us. When we had our high school athletic 846 00:48:29,040 --> 00:48:32,960 Speaker 1: association determined as they have a medical committee, every single 847 00:48:33,080 --> 00:48:35,920 Speaker 1: doctor was saying that this was going to be damaging 848 00:48:35,960 --> 00:48:38,160 Speaker 1: for kids to have them play sports, it to allow 849 00:48:38,200 --> 00:48:40,759 Speaker 1: them to play sports, and they were all wrong. So 850 00:48:40,800 --> 00:48:42,760 Speaker 1: I think when you're talking about what needs to be done, 851 00:48:42,800 --> 00:48:45,640 Speaker 1: I mean, the high levels of the bureaucracy just need 852 00:48:45,680 --> 00:48:48,600 Speaker 1: to be flushed out. I mean, these are failed agencies 853 00:48:48,600 --> 00:48:52,240 Speaker 1: when you talk about things like the CDC and the FDA, 854 00:48:52,920 --> 00:48:55,960 Speaker 1: and also some of the people in these medical societies 855 00:48:56,040 --> 00:49:00,880 Speaker 1: that really pursued politics ret in ideology rather than following 856 00:49:00,920 --> 00:49:02,960 Speaker 1: the data. And look, I don't know if it's just 857 00:49:03,040 --> 00:49:05,600 Speaker 1: some people will never admit that they were wrong because 858 00:49:05,640 --> 00:49:08,399 Speaker 1: they think that that's bad for them. But like for 859 00:49:08,440 --> 00:49:10,800 Speaker 1: you to say certain things in March of twenty twenty 860 00:49:10,840 --> 00:49:12,840 Speaker 1: when we didn't have all the data in, you know, 861 00:49:12,920 --> 00:49:15,640 Speaker 1: you can kind of understand and give someone a mulligan. 862 00:49:15,719 --> 00:49:18,200 Speaker 1: But once the data is in and you continue to 863 00:49:18,280 --> 00:49:22,080 Speaker 1: keep your head in the sand and advocate for destructive policies, 864 00:49:22,360 --> 00:49:26,560 Speaker 1: you should not be in a position of leadership ever. Again, 865 00:49:27,040 --> 00:49:29,400 Speaker 1: speaking to Florida Governor Rod De Santis, his book is 866 00:49:29,400 --> 00:49:33,040 Speaker 1: out today, The Courage to Be Free, Florida's Blueprint for 867 00:49:33,320 --> 00:49:39,080 Speaker 1: America's Revival. Governor, take us through the blueprint, because obviously 868 00:49:39,200 --> 00:49:42,359 Speaker 1: you're the governor of Florida, and you've had tremendous success there, 869 00:49:42,400 --> 00:49:45,440 Speaker 1: and you've had so many people that have moved. I 870 00:49:45,440 --> 00:49:48,600 Speaker 1: think voting with their feet is the single most clear 871 00:49:48,800 --> 00:49:52,200 Speaker 1: and most important way that they can show how they 872 00:49:52,239 --> 00:49:54,960 Speaker 1: feel about your governance and what's going on in the 873 00:49:55,000 --> 00:49:58,680 Speaker 1: state of Florida. How does this translate though, to other states? 874 00:49:58,719 --> 00:50:01,319 Speaker 1: How is this a blueprint or other places across the 875 00:50:01,400 --> 00:50:04,719 Speaker 1: country to have the same kind of economic boom but 876 00:50:04,840 --> 00:50:09,040 Speaker 1: just also increases in freedom and prosperity in a sense 877 00:50:09,080 --> 00:50:12,919 Speaker 1: of forward momentum. Well, I think there's there's three things. 878 00:50:12,960 --> 00:50:14,840 Speaker 1: One is, you know, you've got to be grounded in 879 00:50:14,840 --> 00:50:17,120 Speaker 1: the right principles, and I think everything we've done in 880 00:50:17,160 --> 00:50:21,239 Speaker 1: Florida grows out of the basic foundations that have made 881 00:50:21,239 --> 00:50:24,319 Speaker 1: America what it is today that the founding fathers talked 882 00:50:24,360 --> 00:50:27,000 Speaker 1: about that are reflected in our constitution, and that and 883 00:50:27,120 --> 00:50:29,640 Speaker 1: of itself is much different than what you would see 884 00:50:29,640 --> 00:50:32,160 Speaker 1: in a state like California where they where they go 885 00:50:32,200 --> 00:50:35,920 Speaker 1: a much different way. Second, you have to recognize if 886 00:50:35,960 --> 00:50:38,560 Speaker 1: you want a free state right now in this day 887 00:50:38,560 --> 00:50:42,560 Speaker 1: and age, it's not just protecting people from government over each. 888 00:50:42,600 --> 00:50:44,680 Speaker 1: Of course you have to do that, but we have 889 00:50:44,719 --> 00:50:49,759 Speaker 1: a lot of power exercised by non governmental agencies or 890 00:50:49,920 --> 00:50:54,640 Speaker 1: organizations Corporate America, big Tech. You also have wokeness in 891 00:50:54,680 --> 00:50:59,399 Speaker 1: the federal bureaucracy and in universities and so people. I 892 00:50:59,440 --> 00:51:02,440 Speaker 1: think part of freedom is being free from having the 893 00:51:02,560 --> 00:51:05,439 Speaker 1: left impose its agenda on you. But that means you've 894 00:51:05,440 --> 00:51:09,000 Speaker 1: got to fight across all those different terrain and we've 895 00:51:09,040 --> 00:51:11,919 Speaker 1: done that here in Florida. And then finally when you're 896 00:51:11,920 --> 00:51:13,759 Speaker 1: doing that, I mean we call it the courage to 897 00:51:13,800 --> 00:51:17,799 Speaker 1: be free because leadership has a cost. And particularly if 898 00:51:17,800 --> 00:51:20,480 Speaker 1: you're standing for the things that Florida has stood. Just 899 00:51:20,640 --> 00:51:23,839 Speaker 1: know the less not just gonna lie down and let 900 00:51:23,920 --> 00:51:26,359 Speaker 1: you let you do it. They're gonna fight because you're 901 00:51:26,400 --> 00:51:30,600 Speaker 1: fighting on their turf. You show a different example for 902 00:51:30,680 --> 00:51:34,839 Speaker 1: the rest of the country. The unfavorable comparisons between these 903 00:51:34,840 --> 00:51:37,200 Speaker 1: blue states in Florida, you know that calls in the 904 00:51:37,360 --> 00:51:40,399 Speaker 1: question their whole worldview. So they're gonna attack you, they're 905 00:51:40,400 --> 00:51:42,600 Speaker 1: gonna smear you, they're gonna distort, they're gonna do whatever 906 00:51:42,640 --> 00:51:44,759 Speaker 1: they can, and you've got to be willing to take 907 00:51:44,800 --> 00:51:48,560 Speaker 1: that fire, stand strong, and fight back. I loved it. 908 00:51:48,560 --> 00:51:51,080 Speaker 1: I was down in Florida for July fourth, and Gavin 909 00:51:51,160 --> 00:51:54,080 Speaker 1: Newsom is running ads on Fox News as I'm sitting 910 00:51:54,120 --> 00:51:56,879 Speaker 1: on my couch down there in my Florida place, which 911 00:51:57,239 --> 00:51:59,799 Speaker 1: thankfully I'm happy to have you as a governor down there, 912 00:52:01,360 --> 00:52:06,799 Speaker 1: and he's lost eight hundred thousand population in California in 913 00:52:06,880 --> 00:52:11,360 Speaker 1: terms of net migrations out you have gained seven hundred thousand, 914 00:52:11,680 --> 00:52:14,520 Speaker 1: which is sorry, he's lost seven hundred thousand. You guys 915 00:52:14,520 --> 00:52:17,440 Speaker 1: have gained eight hundred thousand, which is pretty crazy. And 916 00:52:17,480 --> 00:52:20,320 Speaker 1: I believe the report is we wrote about this at OutKick. 917 00:52:20,840 --> 00:52:25,120 Speaker 1: Gavin Newsom's own in laws relocated from California to Florida 918 00:52:25,280 --> 00:52:29,279 Speaker 1: and donated to you. Now, that is amazing, But as 919 00:52:29,320 --> 00:52:33,359 Speaker 1: Buckas said, isn't voting with your feet between California and 920 00:52:33,440 --> 00:52:37,399 Speaker 1: Florida a perfect approximation. I would say, you, guys, as 921 00:52:37,480 --> 00:52:41,800 Speaker 1: current governors handled COVID about as different as two governors could. 922 00:52:42,120 --> 00:52:46,200 Speaker 1: And overwhelmingly Americans have voted with their own residency in 923 00:52:46,200 --> 00:52:49,160 Speaker 1: your favor. Isn't that like sign sealed and delivered in 924 00:52:49,200 --> 00:52:52,359 Speaker 1: the argument? Yeah, especially when you consider I mean think 925 00:52:52,360 --> 00:52:54,520 Speaker 1: about we had a lot of people flee from New York, right, 926 00:52:54,520 --> 00:52:57,200 Speaker 1: but we've always had people moved from New York. You know, 927 00:52:57,239 --> 00:52:59,759 Speaker 1: you live a life in New York, you retire, you 928 00:52:59,800 --> 00:53:02,920 Speaker 1: go to Boca. Doesn't mean you hate New York necessarily. 929 00:53:03,280 --> 00:53:05,880 Speaker 1: Now recently there's been a lot of people that have 930 00:53:05,960 --> 00:53:09,640 Speaker 1: been dissatisfied. Granted, but to go from California and to 931 00:53:09,719 --> 00:53:14,160 Speaker 1: go three thousand miles across the continent to come to Florida, 932 00:53:14,280 --> 00:53:16,719 Speaker 1: you know, that is a huge, huge thing. And I 933 00:53:16,760 --> 00:53:19,959 Speaker 1: grew up in Florida and I never saw a California 934 00:53:20,040 --> 00:53:24,600 Speaker 1: license plate in my life until growing up, and then 935 00:53:24,680 --> 00:53:27,520 Speaker 1: until I became governor, you started to see them. And 936 00:53:27,560 --> 00:53:29,960 Speaker 1: I'll tell you a lot of Florida voters freaked out 937 00:53:30,000 --> 00:53:32,600 Speaker 1: because they were thinking either a lot of liberal California voters. 938 00:53:32,600 --> 00:53:35,239 Speaker 1: But it turns out These are people that were disaffected 939 00:53:35,280 --> 00:53:37,440 Speaker 1: by what was going on out there, and they would 940 00:53:37,440 --> 00:53:40,920 Speaker 1: pick up and move. That is a very powerful statement 941 00:53:41,239 --> 00:53:44,279 Speaker 1: to move your family across the continent. And as you 942 00:53:44,320 --> 00:53:46,440 Speaker 1: guys know, I mean like if you're in if you 943 00:53:46,480 --> 00:53:49,080 Speaker 1: move from New York, you can hop on a plane 944 00:53:49,120 --> 00:53:52,279 Speaker 1: from Palm Beach back up to JFK. It's a two 945 00:53:52,320 --> 00:53:54,719 Speaker 1: and a half hour flight, see your family, whatever. But 946 00:53:54,760 --> 00:53:56,719 Speaker 1: it's a big deal going across the country. And the 947 00:53:56,760 --> 00:53:58,480 Speaker 1: fact that people were willing to do that. And oh, 948 00:53:58,520 --> 00:54:01,560 Speaker 1: by the way, we're proud of being the Sunshine state. 949 00:54:01,600 --> 00:54:04,520 Speaker 1: California's got pretty dog on good weather too, So it 950 00:54:04,560 --> 00:54:07,279 Speaker 1: isn't like they're leaving the cold of Minnesota to move 951 00:54:07,320 --> 00:54:11,120 Speaker 1: to Naples. They're leaving a state that was the ideal 952 00:54:11,480 --> 00:54:14,520 Speaker 1: for the American dream for most of our lifetimes and 953 00:54:14,600 --> 00:54:17,719 Speaker 1: even probably before that, and now is a state that's 954 00:54:17,760 --> 00:54:21,760 Speaker 1: hemorrhaging people at record numbers. And while Florida is enjoying 955 00:54:21,960 --> 00:54:25,840 Speaker 1: its biggest ever budget surplus, California is facing close to 956 00:54:25,880 --> 00:54:29,440 Speaker 1: a thirty billion dollar budget deficit. Governor de Santis is 957 00:54:29,440 --> 00:54:31,840 Speaker 1: with us now. The Courage to be Free is the book. 958 00:54:32,040 --> 00:54:35,400 Speaker 1: You know, you have the blueprint governor what states are 959 00:54:35,480 --> 00:54:39,480 Speaker 1: already starting to implement. What you would say is that 960 00:54:39,560 --> 00:54:43,440 Speaker 1: the pathway to prosperity and freedom in the American revival. 961 00:54:43,480 --> 00:54:46,720 Speaker 1: I mean, where else are you seeing governor's doing things 962 00:54:46,719 --> 00:54:48,799 Speaker 1: that you say that makes sense to me that's the 963 00:54:48,880 --> 00:54:52,480 Speaker 1: right move. Well, I think if you look, people focused 964 00:54:52,480 --> 00:54:54,840 Speaker 1: on our red wave in Florida, and it was it 965 00:54:54,880 --> 00:54:57,440 Speaker 1: was legitimate. But there was a red wave in Iowa 966 00:54:57,520 --> 00:54:59,840 Speaker 1: under Governor Kim Reynolds. And if you look at what 967 00:55:00,120 --> 00:55:05,160 Speaker 1: him's done on education, fighting back against COVID authoritarianism, what 968 00:55:05,320 --> 00:55:08,200 Speaker 1: she's done to keep Iowa safe with law and order. 969 00:55:08,600 --> 00:55:11,040 Speaker 1: She's done a lot of the stuff you know that 970 00:55:11,080 --> 00:55:13,200 Speaker 1: we've done in the state of Florida. And what I 971 00:55:13,280 --> 00:55:16,440 Speaker 1: tell her is when the people from the Midwest come down, 972 00:55:16,880 --> 00:55:19,360 Speaker 1: mostly to Southwest Florida, you run into them. You know, 973 00:55:19,440 --> 00:55:21,960 Speaker 1: the people from Illinois are really bitter about what's going 974 00:55:22,000 --> 00:55:24,759 Speaker 1: on in Illinois. The people in Michigan were very bitter, 975 00:55:24,840 --> 00:55:28,120 Speaker 1: particularly during COVID. People from Iowa, you know, they're happy 976 00:55:28,160 --> 00:55:30,680 Speaker 1: to be in Florida, but they like Iowa, they like 977 00:55:30,800 --> 00:55:34,080 Speaker 1: and they're they're just much more happy with what's going 978 00:55:34,120 --> 00:55:36,120 Speaker 1: on back home. I think that's a testament to her. 979 00:55:36,320 --> 00:55:39,000 Speaker 1: I think you look at other states that have gained population, 980 00:55:39,160 --> 00:55:43,359 Speaker 1: like Georgia. You know, Governor Kemp opened up Georgia. He 981 00:55:43,400 --> 00:55:46,239 Speaker 1: was being attacked by Fauchi and even people at the 982 00:55:46,239 --> 00:55:49,279 Speaker 1: White House and was willing to stand his ground on that. 983 00:55:49,360 --> 00:55:51,279 Speaker 1: And I thought that that was a huge, huge thing, 984 00:55:51,320 --> 00:55:54,640 Speaker 1: and I thought that that benefited Georgia tremendously. Clay, you know, 985 00:55:54,760 --> 00:55:57,280 Speaker 1: Tennessee is booming. I mean, you know, you have people. 986 00:55:57,520 --> 00:56:00,120 Speaker 1: When I was in Nashville during COVID to energy, he 987 00:56:00,200 --> 00:56:02,520 Speaker 1: felt similar to what you see in Florida where all 988 00:56:02,520 --> 00:56:05,359 Speaker 1: these people are coming. I don't know if they're how 989 00:56:05,400 --> 00:56:08,360 Speaker 1: they're voting. Hopefully they're voting the right way, but clearly, 990 00:56:08,719 --> 00:56:10,880 Speaker 1: you know, it's drawing a lot of people who are 991 00:56:10,920 --> 00:56:13,080 Speaker 1: looking for greener pastures. So I think there's a lot 992 00:56:13,080 --> 00:56:16,759 Speaker 1: of success stories, and I think that it's great to 993 00:56:16,800 --> 00:56:20,560 Speaker 1: have a healthy competition with all these different states. And 994 00:56:20,680 --> 00:56:23,239 Speaker 1: really it's just been a competition to see, you know, 995 00:56:23,280 --> 00:56:26,680 Speaker 1: who's going to receive more people from the failed woke states. 996 00:56:26,880 --> 00:56:29,320 Speaker 1: You're right about Tennessee. Last question for you, it's the 997 00:56:29,400 --> 00:56:32,360 Speaker 1: number one question everybody in our audience has. Are you 998 00:56:32,440 --> 00:56:35,319 Speaker 1: going to run for president in twenty twenty four, and 999 00:56:35,360 --> 00:56:38,399 Speaker 1: what is the time frame to make that decision. Well, 1000 00:56:38,440 --> 00:56:41,839 Speaker 1: if I told people I have a legislative session coming up, 1001 00:56:41,960 --> 00:56:44,279 Speaker 1: we have supermajorities now, and I'm going to be able 1002 00:56:44,320 --> 00:56:47,759 Speaker 1: to deliver a huge agenda for Florida, and so that's 1003 00:56:47,800 --> 00:56:49,719 Speaker 1: going to be my focus. I am talking about the 1004 00:56:49,719 --> 00:56:53,000 Speaker 1: book partially because I'm proud of what we've done in Florida. 1005 00:56:53,080 --> 00:56:55,839 Speaker 1: So I've got the next probably three months where I'm 1006 00:56:55,880 --> 00:56:58,000 Speaker 1: going to be focusing on that, and then we'll get 1007 00:56:58,040 --> 00:57:00,359 Speaker 1: on the other side of that, and who knows, maybe 1008 00:57:00,400 --> 00:57:02,680 Speaker 1: I'll come on your show if if I have an 1009 00:57:02,719 --> 00:57:05,120 Speaker 1: announcement to make, I think that would be an excellent 1010 00:57:05,160 --> 00:57:09,120 Speaker 1: idea Governor, just throwing that out there. Yeah, and we 1011 00:57:09,160 --> 00:57:13,000 Speaker 1: would certainly welcome that opportunity, and we appreciate the time. 1012 00:57:13,040 --> 00:57:15,480 Speaker 1: Good luck. Hey, I hope the New York Times will 1013 00:57:15,520 --> 00:57:17,880 Speaker 1: allow you to open number one overall. You know, they 1014 00:57:17,880 --> 00:57:20,840 Speaker 1: have that rigged best seller list that they don't typically 1015 00:57:20,840 --> 00:57:24,120 Speaker 1: allow a lot of conservatives, So good luck on the rankings. Yeah, 1016 00:57:24,160 --> 00:57:25,919 Speaker 1: you know, but I think I win either way because 1017 00:57:25,920 --> 00:57:28,320 Speaker 1: if they blackball me, and I clearly have sold the 1018 00:57:28,360 --> 00:57:30,160 Speaker 1: most and that will get a lot, a lot of 1019 00:57:30,200 --> 00:57:33,480 Speaker 1: positive feedback on that too. Well, this audience is going 1020 00:57:33,520 --> 00:57:36,480 Speaker 1: to mobilize the courage to be free. Florida's Blueprint for 1021 00:57:36,520 --> 00:57:39,240 Speaker 1: America's revival. Get a copy, Governor Ron de Santis, Thank 1022 00:57:39,280 --> 00:57:43,800 Speaker 1: you so much, sir, Take care guys, Bye bye. You 1023 00:57:43,880 --> 00:57:47,560 Speaker 1: know all about how woke activists seize control of America's schools. 1024 00:57:47,720 --> 00:57:50,840 Speaker 1: Now a group of investment firms and Americans and tions 1025 00:57:50,880 --> 00:57:54,240 Speaker 1: and retirements are playing woke politics with your money without 1026 00:57:54,240 --> 00:57:58,040 Speaker 1: our knowledge or consent. A few large investment firms names 1027 00:57:58,120 --> 00:58:01,200 Speaker 1: you know that control trillions of dollars of your money 1028 00:58:01,240 --> 00:58:04,439 Speaker 1: are using those dollars to advance their woke ideology through 1029 00:58:04,480 --> 00:58:08,440 Speaker 1: a progressive social scoring program called EESG. They claim it 1030 00:58:08,480 --> 00:58:11,840 Speaker 1: promotes corporate responsibility, but what they're really doing is using 1031 00:58:11,840 --> 00:58:15,880 Speaker 1: americans hard earned money to finance their left wing political agenda, 1032 00:58:16,120 --> 00:58:19,960 Speaker 1: forcing businesses to comply or else. Some state leaders are 1033 00:58:20,000 --> 00:58:23,040 Speaker 1: fighting back and more are joining, letting those investment firms 1034 00:58:23,040 --> 00:58:26,000 Speaker 1: know they can't play those left wing politics with our pensions. 1035 00:58:26,280 --> 00:58:29,840 Speaker 1: They can either do their jobs, maximize returns for shareholders, 1036 00:58:30,120 --> 00:58:33,920 Speaker 1: or get lost. To learn more, go to Consumers Research 1037 00:58:34,120 --> 00:58:37,240 Speaker 1: dot org. They've been defending consumers against fraud and abuse 1038 00:58:37,320 --> 00:58:39,640 Speaker 1: for decades and they still are on the front lines. 1039 00:58:39,880 --> 00:58:43,320 Speaker 1: Good to Consumers Research dot org to learn more about 1040 00:58:43,320 --> 00:58:47,040 Speaker 1: their mission to protect consumers from woke investment firms. That's 1041 00:58:47,240 --> 00:58:52,680 Speaker 1: Consumers Research dot org making sense in an insane world. 1042 00:58:52,920 --> 00:58:54,720 Speaker 1: Clay Travis and Buck Sexton