1 00:00:00,080 --> 00:00:03,640 Speaker 1: Welcome in Clay Travis buck Sexton show, our number three 2 00:00:03,800 --> 00:00:06,480 Speaker 1: Wednesday edition. Buck and I are both up here together 3 00:00:06,680 --> 00:00:09,960 Speaker 1: in New York City, and as we told you would happen, 4 00:00:11,000 --> 00:00:13,440 Speaker 1: breaking news for those of you out there in the 5 00:00:13,480 --> 00:00:16,880 Speaker 1: market for a home or just borrowing money in general. 6 00:00:17,000 --> 00:00:22,040 Speaker 1: The Fed has raised its interest rates by another three 7 00:00:22,160 --> 00:00:26,479 Speaker 1: quarter points, the biggest raises back to back since the 8 00:00:26,640 --> 00:00:30,600 Speaker 1: early nineteen nineties, to try to combat nine point one 9 00:00:30,720 --> 00:00:36,640 Speaker 1: percent inflation seventy five point basis point increase as was 10 00:00:36,800 --> 00:00:42,080 Speaker 1: widely expected. The stock market basically unmoved as that was 11 00:00:42,120 --> 00:00:46,080 Speaker 1: just announced in the last five minutes. But you're borrowing 12 00:00:46,200 --> 00:00:51,000 Speaker 1: costs increasing as there is a desperate desire to try 13 00:00:51,040 --> 00:00:55,120 Speaker 1: and bring down that nine point one percent interest rate, 14 00:00:55,240 --> 00:00:59,880 Speaker 1: also creating potentially a larger issue of we've been discussing 15 00:01:00,000 --> 00:01:04,440 Speaker 1: throughout the course of today's show. It's very rare to 16 00:01:04,640 --> 00:01:09,959 Speaker 1: be raising interest rates in a recession. And tomorrow morning 17 00:01:10,360 --> 00:01:13,360 Speaker 1: we will officially get news, at least for purposes of 18 00:01:13,400 --> 00:01:16,399 Speaker 1: this show. Despite what the Biden administration is trying to argue. 19 00:01:16,400 --> 00:01:19,840 Speaker 1: On the contrary, we expect that the economy will have 20 00:01:19,920 --> 00:01:23,280 Speaker 1: shrunk again a negative growth rate in the second quarter, 21 00:01:23,560 --> 00:01:25,760 Speaker 1: which will be back to back negative growth rates, which 22 00:01:25,800 --> 00:01:31,039 Speaker 1: suggests that we are essentially already in a recession. So 23 00:01:31,160 --> 00:01:35,559 Speaker 1: that news breaking buck during commercial break there and again 24 00:01:35,600 --> 00:01:39,160 Speaker 1: those basis points rise, going to cost you more to 25 00:01:39,240 --> 00:01:41,279 Speaker 1: get a mortgage, going to cost you more to borrow 26 00:01:41,319 --> 00:01:43,960 Speaker 1: money in an effort to try to slow down the 27 00:01:44,000 --> 00:01:47,640 Speaker 1: economy and bring back inflation. Yeah, man, this is what 28 00:01:48,000 --> 00:01:51,280 Speaker 1: happens when you spend too much money, or rather put 29 00:01:51,320 --> 00:01:54,960 Speaker 1: too much money into the economy. It's as though we 30 00:01:54,960 --> 00:01:58,240 Speaker 1: were running an experiment over the course of COVID and 31 00:01:58,280 --> 00:02:02,080 Speaker 1: then even accelerated into the Biden administration where we said, 32 00:02:02,160 --> 00:02:06,760 Speaker 1: let's really reduce economic productivity for a little while. Let's 33 00:02:06,840 --> 00:02:10,960 Speaker 1: let's make sure we go into an artificial temporary recession, 34 00:02:11,800 --> 00:02:15,880 Speaker 1: flood the country with money without any underlying economic activity 35 00:02:15,919 --> 00:02:19,080 Speaker 1: to support it, or rather reduced economic activity to support it, 36 00:02:19,639 --> 00:02:22,040 Speaker 1: and see if we can create some really bad inflation. 37 00:02:22,240 --> 00:02:25,200 Speaker 1: That that is what has happened here. And the fact 38 00:02:25,240 --> 00:02:29,240 Speaker 1: that the Biden White House is the least capable crew 39 00:02:29,320 --> 00:02:32,000 Speaker 1: on economic matters to have been in charge of the country. 40 00:02:32,080 --> 00:02:36,800 Speaker 1: Certainly since the Carter administration isn't confidence inspiring in this moment. 41 00:02:36,840 --> 00:02:39,200 Speaker 1: I think that's fair to say, and I do believe 42 00:02:39,200 --> 00:02:42,040 Speaker 1: we're just at the beginning of this. Things are going 43 00:02:42,080 --> 00:02:45,359 Speaker 1: to tighten up. There's going to be you know, the 44 00:02:45,680 --> 00:02:48,200 Speaker 1: forest fire is going to burn for a while before 45 00:02:48,320 --> 00:02:51,880 Speaker 1: the undergrowth and the new growth can come about. I 46 00:02:51,919 --> 00:02:54,359 Speaker 1: think this is going to be a real challenge. This 47 00:02:54,480 --> 00:02:57,480 Speaker 1: gonna be real challenge, honestly for any administration. But it 48 00:02:57,560 --> 00:03:01,120 Speaker 1: just so happens that we have the worst possible people 49 00:03:01,440 --> 00:03:04,120 Speaker 1: making the decisions right now at the highest level of 50 00:03:04,200 --> 00:03:08,560 Speaker 1: government in a variety of posts. And Joe Biden is 51 00:03:09,120 --> 00:03:11,400 Speaker 1: not up for this. He wasn't up for being president. 52 00:03:11,440 --> 00:03:14,240 Speaker 1: He's certainly not up freeing president of a country that's 53 00:03:14,280 --> 00:03:17,240 Speaker 1: going into what looks like the roughest economic period it's seen, 54 00:03:17,800 --> 00:03:20,160 Speaker 1: certainly since the two thousand and eight, But that didn't 55 00:03:20,200 --> 00:03:22,240 Speaker 1: last very long. Everybody says on two thousand and eight, 56 00:03:22,240 --> 00:03:25,760 Speaker 1: the entire economy and was melted down. Part of that narrative, 57 00:03:25,760 --> 00:03:27,200 Speaker 1: I think was so that they could bail out the 58 00:03:27,200 --> 00:03:30,000 Speaker 1: banks like Goldman Sachs, which got one hundred percent of 59 00:03:30,000 --> 00:03:33,000 Speaker 1: the dollar for its counterparty risk with AIG. It's good 60 00:03:33,000 --> 00:03:36,520 Speaker 1: to have Paulson being the Treasury Secretary as a former 61 00:03:36,600 --> 00:03:39,760 Speaker 1: Goldman Sachs guy. Too bad for leaving brothers though. But 62 00:03:39,840 --> 00:03:42,160 Speaker 1: if you look at the more structural economic issues, I 63 00:03:42,240 --> 00:03:46,120 Speaker 1: think you got to go back to periods of stagflation. 64 00:03:46,320 --> 00:03:48,800 Speaker 1: You go back to the Carter era, you go back 65 00:03:48,840 --> 00:03:51,360 Speaker 1: to the seventies and the high price of gas, the 66 00:03:51,400 --> 00:03:56,360 Speaker 1: gas lines, all the stuff inflation. Obviously, we're revisiting some 67 00:03:56,440 --> 00:03:58,080 Speaker 1: of the things in the past that we were hoping 68 00:03:58,120 --> 00:04:02,240 Speaker 1: we'd never see again. Economically. Unfortunately, everybody seems to have 69 00:04:02,240 --> 00:04:05,600 Speaker 1: a working memory of about two generations and then whatever 70 00:04:05,680 --> 00:04:10,320 Speaker 1: happened forty years plus ago, people convinced themselves that it 71 00:04:10,360 --> 00:04:12,440 Speaker 1: could never happen again. And that's why I thought last 72 00:04:12,440 --> 00:04:15,160 Speaker 1: week and we had Art laugher On was so interesting 73 00:04:15,200 --> 00:04:17,880 Speaker 1: because he was there at the inception of the Reagan 74 00:04:17,920 --> 00:04:22,440 Speaker 1: Revolution when they managed to defeat the inflation that was 75 00:04:22,480 --> 00:04:24,719 Speaker 1: brought to bear by Jimmy Carter. And where are we? 76 00:04:24,960 --> 00:04:28,159 Speaker 1: I think historically you can draw an analogy that much 77 00:04:28,160 --> 00:04:31,159 Speaker 1: as Jimmy Carter was an accidental president, Joe Biden's an 78 00:04:31,160 --> 00:04:34,640 Speaker 1: accidental president, and he's an accidental president because he happened 79 00:04:34,680 --> 00:04:36,960 Speaker 1: to run during COVID. They were able to hang that 80 00:04:37,120 --> 00:04:41,400 Speaker 1: around Donald Trump's neck and they got Joe Biden into office, 81 00:04:41,839 --> 00:04:46,880 Speaker 1: and just like Jimmy Carter, Democrats have control of Congress 82 00:04:47,000 --> 00:04:50,800 Speaker 1: and inflation runs out of control because they are awful 83 00:04:50,839 --> 00:04:53,599 Speaker 1: at all economic issues. We're mentioning Trump, by the way, 84 00:04:53,600 --> 00:04:57,400 Speaker 1: Buck Tomorrow, Trump is going to be out at Bedminster. 85 00:04:57,720 --> 00:05:00,160 Speaker 1: Yesterday he was in Washington, DC, I believe for the 86 00:05:00,200 --> 00:05:04,320 Speaker 1: first time since he left Washington DC. And he has 87 00:05:04,360 --> 00:05:08,719 Speaker 1: an intuitive sense of what connects with his bass and 88 00:05:08,760 --> 00:05:11,880 Speaker 1: what connects with his audience. And it's not a surprise 89 00:05:11,920 --> 00:05:14,080 Speaker 1: because the same arguments we've been making on this show 90 00:05:14,480 --> 00:05:17,680 Speaker 1: that Democrats have gone insane, and one way to point 91 00:05:17,680 --> 00:05:21,039 Speaker 1: out how they have gone insane is on the transgender 92 00:05:21,080 --> 00:05:25,800 Speaker 1: related issues, particularly as they pertain to sports and Trump. 93 00:05:25,960 --> 00:05:27,720 Speaker 1: We've said this a lot, and Trump is scheduled to 94 00:05:27,800 --> 00:05:31,640 Speaker 1: join us from Bedminster right now on Friday Live on 95 00:05:31,760 --> 00:05:34,040 Speaker 1: the program. I think we're kind of joining Trump considering 96 00:05:34,080 --> 00:05:35,920 Speaker 1: we're gonna be at Bedminster. But yeah, well that might 97 00:05:35,920 --> 00:05:37,679 Speaker 1: be a better way to phrase it. But it's our show. 98 00:05:37,720 --> 00:05:39,720 Speaker 1: So he's joining us on the show. We will be 99 00:05:39,800 --> 00:05:43,280 Speaker 1: joining him at his golf course, so we're mutually joining together. 100 00:05:43,800 --> 00:05:48,240 Speaker 1: Trump sense of humor always has not been able to 101 00:05:48,279 --> 00:05:51,120 Speaker 1: register with a lot of the media that cover him. 102 00:05:51,200 --> 00:05:53,320 Speaker 1: And yesterday we played the Matt Gates. Can we just 103 00:05:53,640 --> 00:05:56,360 Speaker 1: he's hilarious and they have no sense of humor as 104 00:05:56,360 --> 00:05:58,640 Speaker 1: the probe, Well, we played the Matt Gates yesterday where 105 00:05:58,640 --> 00:06:02,279 Speaker 1: he said be offended and it was legitimately hysterical about 106 00:06:02,360 --> 00:06:05,559 Speaker 1: the people who are protesting. All the follow up was great, 107 00:06:05,600 --> 00:06:10,560 Speaker 1: who was phenomenal? So Trump is speaking yesterday, and Trump 108 00:06:10,720 --> 00:06:14,400 Speaker 1: is so insane that he said, hey, maybe we shouldn't 109 00:06:14,480 --> 00:06:17,120 Speaker 1: let men play in women's sports. Listen to this, And 110 00:06:17,200 --> 00:06:21,559 Speaker 1: by the way, we should not allow men to play 111 00:06:21,920 --> 00:06:28,400 Speaker 1: in women's sports. I think of Americans agree with him. 112 00:06:28,440 --> 00:06:30,039 Speaker 1: And then he went on to say, and this is 113 00:06:30,120 --> 00:06:33,000 Speaker 1: very funny that he could be the greatest women's basketball 114 00:06:33,040 --> 00:06:36,080 Speaker 1: coach in history. How listen to Donald Trump, and I'll 115 00:06:36,120 --> 00:06:38,839 Speaker 1: tell you what if I wherever, I'd be the greatest 116 00:06:39,480 --> 00:06:43,040 Speaker 1: women's basketball coach a history. Because I don't like Lebron James. 117 00:06:43,040 --> 00:06:48,360 Speaker 1: I like Michael Jordan much better. But but I but 118 00:06:48,520 --> 00:06:51,599 Speaker 1: I'd go up to Lebron James. It doesn't matter. Say Lebron, 119 00:06:51,720 --> 00:06:53,640 Speaker 1: did you ever have any desire to be a woman, 120 00:06:54,360 --> 00:06:56,520 Speaker 1: Because what I'd love you to do is star on 121 00:06:56,680 --> 00:06:58,520 Speaker 1: my team that I'm building up. I will have the 122 00:06:58,560 --> 00:07:01,640 Speaker 1: greatest team in history. They have a lose. Nobody who 123 00:07:01,680 --> 00:07:05,839 Speaker 1: will come within seventy points of this team. It's accurate, 124 00:07:06,080 --> 00:07:14,239 Speaker 1: It's funny, Buck, It this got your friend Yamache Yumi 125 00:07:14,400 --> 00:07:18,880 Speaker 1: che Yumi Che was really upset. You're just gonna be clear. 126 00:07:18,960 --> 00:07:21,200 Speaker 1: I've never been I just know how to pronounce you 127 00:07:21,280 --> 00:07:23,040 Speaker 1: know how to pronounce her name. I had no idea 128 00:07:23,040 --> 00:07:24,960 Speaker 1: how to pronounce her name. I'll be quite honest. So 129 00:07:25,000 --> 00:07:27,480 Speaker 1: I had to ask Buck, who's much better pronunciations than 130 00:07:27,520 --> 00:07:32,680 Speaker 1: I am. Yamische Alcindor decided that this was you just 131 00:07:32,760 --> 00:07:35,120 Speaker 1: heard the jokes. You just heard Truck kind of mocking 132 00:07:35,120 --> 00:07:39,800 Speaker 1: the ridiculousness of literally violence. I'm just wondering, Yes, she said, 133 00:07:40,000 --> 00:07:43,520 Speaker 1: the close Buck, very close. She said, this was transphobic 134 00:07:43,680 --> 00:07:46,840 Speaker 1: language that Donald Trump used. This is their argument. Listen. 135 00:07:46,920 --> 00:07:50,400 Speaker 1: Cultural issues were very popular in that room. He former 136 00:07:50,400 --> 00:07:54,080 Speaker 1: President Trump went on a long rant about transgender Americans, 137 00:07:54,080 --> 00:07:57,120 Speaker 1: and he used transphobic language. In particular, he was talking 138 00:07:57,160 --> 00:07:59,680 Speaker 1: about transgender women competing in sports and said that they 139 00:07:59,680 --> 00:08:02,120 Speaker 1: were trying to compete against women, which of course is 140 00:08:02,160 --> 00:08:04,000 Speaker 1: not the right way to talk about all right, I 141 00:08:04,200 --> 00:08:07,200 Speaker 1: want to stop. How else would you talk about men 142 00:08:07,320 --> 00:08:10,560 Speaker 1: competing in women's athletics other than to say these are 143 00:08:10,560 --> 00:08:13,520 Speaker 1: men competing in women's athletics. This is something that the 144 00:08:13,840 --> 00:08:17,280 Speaker 1: left loves to do. They attach they attach phobia to terms. Now, 145 00:08:17,320 --> 00:08:20,680 Speaker 1: phobia is in irrational fear of something. Yes, no one 146 00:08:20,920 --> 00:08:27,200 Speaker 1: is afraid of Trump's not afraid of trans people. Right, arachnophobia, 147 00:08:27,440 --> 00:08:32,400 Speaker 1: fear of spiders, right, hydrophobia, fear of water whatever. Right, 148 00:08:32,440 --> 00:08:34,040 Speaker 1: people can come up with all these things. No one's 149 00:08:34,080 --> 00:08:36,880 Speaker 1: afraid of trans people. No one has a problem with 150 00:08:36,920 --> 00:08:39,679 Speaker 1: people who are trans. Who are you know, human beings 151 00:08:39,679 --> 00:08:42,920 Speaker 1: deserving your respect, in dignity and kindness like everybody else. 152 00:08:43,320 --> 00:08:46,439 Speaker 1: He's just talking about sports, yes, and he's saying we 153 00:08:46,480 --> 00:08:51,480 Speaker 1: shouldn't have six foot four dudes competing against women in 154 00:08:51,600 --> 00:08:56,679 Speaker 1: swimming or basketball or anything else because it's unfair. And 155 00:08:56,840 --> 00:08:59,320 Speaker 1: I feel badly for so many of these women who 156 00:08:59,400 --> 00:09:02,640 Speaker 1: grew up the king. Oh. You know, the pro women 157 00:09:02,760 --> 00:09:05,719 Speaker 1: party is the left and the Democrats, and they're the 158 00:09:05,760 --> 00:09:08,120 Speaker 1: feminists and they're the ones that really care about us. 159 00:09:08,679 --> 00:09:12,719 Speaker 1: They're abandoning you. The Democrat Party has abandoned you. They 160 00:09:12,760 --> 00:09:16,080 Speaker 1: won't even admit that there's anything particularly special about you. 161 00:09:16,120 --> 00:09:20,280 Speaker 1: In fact, being a woman is effectively a superficial physical 162 00:09:20,360 --> 00:09:23,679 Speaker 1: costume that's one can don one can put on and 163 00:09:23,760 --> 00:09:27,959 Speaker 1: take off at will. That's effectively what they decided being 164 00:09:28,000 --> 00:09:31,200 Speaker 1: a woman is buck You rode in college, and I 165 00:09:31,240 --> 00:09:35,360 Speaker 1: would have been the best female rower. And I was 166 00:09:35,480 --> 00:09:37,480 Speaker 1: not a Let's be very clear, because if anyone for 167 00:09:37,520 --> 00:09:39,640 Speaker 1: my rowing teams listening, I was not a very good rower. 168 00:09:39,679 --> 00:09:41,320 Speaker 1: I was better at other sports. I just wanted to 169 00:09:41,360 --> 00:09:43,800 Speaker 1: try to be less fat in college, so I was. 170 00:09:44,040 --> 00:09:46,600 Speaker 1: I was a decent enough high school athlete. I would 171 00:09:46,600 --> 00:09:49,320 Speaker 1: have crushed it. Man, I would have been I would 172 00:09:49,360 --> 00:09:51,840 Speaker 1: have been an All American female rower, Yes, no question 173 00:09:51,840 --> 00:09:53,600 Speaker 1: of I mean, and by the way, that's based on 174 00:09:53,640 --> 00:09:56,320 Speaker 1: your ERG score. I mean it's actually it's like a 175 00:09:56,440 --> 00:09:58,640 Speaker 1: track meet where they can do a time, they time you. 176 00:09:58,960 --> 00:10:01,760 Speaker 1: They'll do you do a five hundred meter, a thousand meter, two, 177 00:10:02,280 --> 00:10:04,960 Speaker 1: two thousand meters, five k and they'll do times on 178 00:10:05,000 --> 00:10:07,720 Speaker 1: the ERG machine, the rowing machine. I would have been 179 00:10:07,800 --> 00:10:10,160 Speaker 1: like a national by the way, that's not even any 180 00:10:10,200 --> 00:10:12,720 Speaker 1: male roller would have been at the top. Even if 181 00:10:12,720 --> 00:10:14,600 Speaker 1: you could compete at the college level as a man, 182 00:10:14,960 --> 00:10:17,880 Speaker 1: you would have been a top female rower as a man. 183 00:10:18,000 --> 00:10:19,640 Speaker 1: I don't even know how to say this. Yeah, which 184 00:10:19,679 --> 00:10:22,600 Speaker 1: is which is the point of anybody who understands athletics. 185 00:10:22,760 --> 00:10:29,600 Speaker 1: So Trump intuitively understands what the American public thinks on 186 00:10:29,679 --> 00:10:34,400 Speaker 1: many issues. And I just would echo what we said earlier. 187 00:10:34,880 --> 00:10:37,520 Speaker 1: If you think men can get pregnant, and if you 188 00:10:37,600 --> 00:10:41,160 Speaker 1: believe that gender is basically a construct, and you can, 189 00:10:41,240 --> 00:10:43,760 Speaker 1: to your point, just try on whatever gender you want 190 00:10:43,760 --> 00:10:46,280 Speaker 1: to try on at any given point time. You're a Democrat, 191 00:10:46,320 --> 00:10:51,520 Speaker 1: And the vast majority of the American public, white, Black, Asian, Hispanic, male, female, 192 00:10:52,000 --> 00:10:59,360 Speaker 1: everyone rejects overwhelmingly this idea, except Yamache out there is 193 00:10:59,480 --> 00:11:02,240 Speaker 1: arguing this is transphobia to say, hey, men should compete 194 00:11:02,240 --> 00:11:04,360 Speaker 1: against men and women should compete against women. You're pretty 195 00:11:04,360 --> 00:11:06,400 Speaker 1: close with Yumi Cha, by the way, pretty close. It 196 00:11:06,440 --> 00:11:08,160 Speaker 1: was good. You're right there. You're right on the edge. 197 00:11:08,200 --> 00:11:10,480 Speaker 1: I even wrote down the pronunciation here and I can't 198 00:11:10,480 --> 00:11:14,640 Speaker 1: even read my own pronunciation. And the other area you've heard. 199 00:11:14,720 --> 00:11:19,440 Speaker 1: It's a little bit quieter on this issue now, but 200 00:11:19,640 --> 00:11:22,640 Speaker 1: on the trans agenda as it pertains to indoctrination of 201 00:11:22,720 --> 00:11:27,040 Speaker 1: children in schools, libs of TikTok. The account that's out 202 00:11:27,080 --> 00:11:31,600 Speaker 1: there keeps on finding all of these teachers and you know, 203 00:11:31,720 --> 00:11:35,959 Speaker 1: youth counselors who are saying, you know, or even just parents, 204 00:11:36,200 --> 00:11:38,280 Speaker 1: parents too are saying, you know, my child came out 205 00:11:38,280 --> 00:11:40,800 Speaker 1: as trans at age four, or whatever the case may be. 206 00:11:41,760 --> 00:11:43,920 Speaker 1: There are a lot of Americans, whether it's on the 207 00:11:43,960 --> 00:11:48,439 Speaker 1: issue of trans competition in sports or on trans indoctrination 208 00:11:48,520 --> 00:11:51,760 Speaker 1: for kids. They may not be that vocal about it 209 00:11:51,760 --> 00:11:54,640 Speaker 1: because they don't want the psycho left to come after them. Yes, 210 00:11:54,720 --> 00:11:58,800 Speaker 1: but when they have an opportunity to vote based upon 211 00:11:59,160 --> 00:12:02,920 Speaker 1: candidates who either embrace this stuff or recognize it as 212 00:12:02,960 --> 00:12:05,760 Speaker 1: crazy and destructive, I think there's going to be a 213 00:12:05,840 --> 00:12:12,440 Speaker 1: huge silent majority effect here against the insanity. Quite honestly, 214 00:12:12,440 --> 00:12:14,080 Speaker 1: I think you're aft on these issues. I think people 215 00:12:14,080 --> 00:12:17,360 Speaker 1: are gonna say this. It is a huge part. Yes, 216 00:12:17,440 --> 00:12:20,760 Speaker 1: the economy, fine, that's first and foremost, but a very 217 00:12:20,800 --> 00:12:23,640 Speaker 1: big chunk I think of the swing and hispanic sentiment 218 00:12:23,720 --> 00:12:26,400 Speaker 1: right now is what do you mean we can't have 219 00:12:26,480 --> 00:12:28,240 Speaker 1: men and women as men and women and we're just 220 00:12:28,280 --> 00:12:30,880 Speaker 1: going to pretend that that's the same thing or different 221 00:12:30,880 --> 00:12:34,200 Speaker 1: things when we decide it's different, only and that children 222 00:12:34,440 --> 00:12:40,520 Speaker 1: as young as kindergarten should be exposed to gender identity ideology. 223 00:12:40,600 --> 00:12:44,199 Speaker 1: I think people realize it's pretty crazy, folks. 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Welcome back in 248 00:14:00,440 --> 00:14:04,360 Speaker 1: Clay Travis buck Sexton show rolling through the Wednesday edition 249 00:14:04,520 --> 00:14:06,880 Speaker 1: of the program live here in New York City together. 250 00:14:06,920 --> 00:14:09,040 Speaker 1: Appreciate all of you hanging out with us. Encourage you 251 00:14:09,559 --> 00:14:12,040 Speaker 1: to go subscribe to the podcast. You can starch out 252 00:14:12,040 --> 00:14:14,120 Speaker 1: my name Clay Travis. You can search out buck Sexton 253 00:14:14,280 --> 00:14:18,640 Speaker 1: also YouTube. You can go get as many videos as 254 00:14:18,679 --> 00:14:21,880 Speaker 1: possible from the show. It's free to subscribe both places. 255 00:14:21,920 --> 00:14:24,480 Speaker 1: You can search out Clay Travis buck Sexton on YouTube. 256 00:14:25,600 --> 00:14:29,440 Speaker 1: This is interesting. Jim Harbaugh is the coach of the 257 00:14:29,520 --> 00:14:33,080 Speaker 1: University of Michigan and he came out in a pro 258 00:14:33,160 --> 00:14:37,480 Speaker 1: life statement recently started to get some criticism. The Big 259 00:14:37,520 --> 00:14:41,040 Speaker 1: Ten Conference, of which Michigan is a member, is having 260 00:14:41,160 --> 00:14:46,120 Speaker 1: their their media days, and Hardball was asked about that 261 00:14:46,520 --> 00:14:50,120 Speaker 1: those comments, and he doubled down, tripled down, maybe even 262 00:14:50,200 --> 00:14:54,200 Speaker 1: quadrupled down on them. He said, he tells any player 263 00:14:54,400 --> 00:14:58,760 Speaker 1: or staff member that has an unplanned pregnancy that if 264 00:14:58,800 --> 00:15:02,200 Speaker 1: they don't want to keep the babies, that he and 265 00:15:02,320 --> 00:15:06,120 Speaker 1: his wife will raise them. Listen to this, But I've 266 00:15:06,160 --> 00:15:09,640 Speaker 1: told the same thing I tell my my my kids, boys, 267 00:15:09,720 --> 00:15:12,360 Speaker 1: the girls, same thing I tell our our players, our 268 00:15:12,400 --> 00:15:16,080 Speaker 1: staff members. Uh, you know, I encourage them if they 269 00:15:16,120 --> 00:15:20,600 Speaker 1: have if they have a pregnancy that's you know, wasn't planned, uh, 270 00:15:20,680 --> 00:15:22,920 Speaker 1: you know, to go through with it, Go through with it, 271 00:15:23,280 --> 00:15:26,080 Speaker 1: you know, let that an unborn child be born. And 272 00:15:26,120 --> 00:15:29,160 Speaker 1: if at that time, yeah, and you you don't feel 273 00:15:29,160 --> 00:15:31,000 Speaker 1: like you can care for you don't have the means 274 00:15:31,080 --> 00:15:34,160 Speaker 1: or a wherewithal, then Sarah and I will take that baby. 275 00:15:34,360 --> 00:15:37,880 Speaker 1: Any player on our team, any female staff member, any 276 00:15:37,920 --> 00:15:42,640 Speaker 1: staff member, or anybody in our family or our our 277 00:15:43,520 --> 00:15:47,880 Speaker 1: extended family that that that doesn't feel like after they 278 00:15:47,920 --> 00:15:49,480 Speaker 1: have a baby that they can take care for it. 279 00:15:49,680 --> 00:15:52,960 Speaker 1: We got a big house. Well we'll uh, we'll raise 280 00:15:53,000 --> 00:15:57,200 Speaker 1: that baby. So Harbaugh stepping right out there letting you 281 00:15:57,280 --> 00:15:59,960 Speaker 1: know what his opinion is on abortion. Now, this is 282 00:16:00,200 --> 00:16:03,760 Speaker 1: somewhat revolutionary because, as Buck and I have discussed the 283 00:16:03,840 --> 00:16:10,479 Speaker 1: world of sports regularly, left wing opinions are allowed, promoted, praised, 284 00:16:10,920 --> 00:16:13,960 Speaker 1: but as soon as you say anything other than something 285 00:16:14,040 --> 00:16:17,040 Speaker 1: far left wing, you get ripped to the high heavens. 286 00:16:17,120 --> 00:16:20,600 Speaker 1: And usually guys or girls who step out there, like 287 00:16:20,720 --> 00:16:23,720 Speaker 1: Jim Harbaugh, come running back with their tails stuck between 288 00:16:23,760 --> 00:16:27,280 Speaker 1: their legs. I thought this was interesting because Harbaugh went 289 00:16:27,320 --> 00:16:31,880 Speaker 1: aggressively behind his opinion that he'd already shared. And credit 290 00:16:31,920 --> 00:16:34,840 Speaker 1: to Sage Steele, who was one of the actual sane 291 00:16:34,880 --> 00:16:39,240 Speaker 1: people who works at ESPN. She tweeted this, I love 292 00:16:39,360 --> 00:16:42,440 Speaker 1: Jim Harbaugh was brave enough to go on the record 293 00:16:42,480 --> 00:16:46,640 Speaker 1: with his stance on abortion, despite the predictable social media 294 00:16:46,680 --> 00:16:52,400 Speaker 1: criticism he's receiving. Have the conversation, respect the opinions of others, 295 00:16:52,760 --> 00:16:58,480 Speaker 1: even if you disagree. Diversity of thought right, well, so 296 00:16:59,200 --> 00:17:01,400 Speaker 1: buck there you go. Jim Harball, we talked about the 297 00:17:01,400 --> 00:17:04,359 Speaker 1: fact that he had come out pro life, doubled down 298 00:17:04,359 --> 00:17:07,080 Speaker 1: on it. Said, Hey, you work at the University of Michigan, 299 00:17:07,080 --> 00:17:10,400 Speaker 1: affiliated with our football team, and you don't think you're 300 00:17:10,480 --> 00:17:12,719 Speaker 1: able to take care of a baby? My wife and 301 00:17:12,760 --> 00:17:15,520 Speaker 1: I will raise it, he says. He tells everybody this 302 00:17:15,680 --> 00:17:19,879 Speaker 1: associated with the team, and I love that. Whatever his 303 00:17:19,920 --> 00:17:22,920 Speaker 1: opinion is, he's sharing it, he's owning it, and he's 304 00:17:22,960 --> 00:17:25,000 Speaker 1: not running in the other direction from it. Well, he's 305 00:17:25,000 --> 00:17:28,159 Speaker 1: a true pro lifer. He stands behind his principles and 306 00:17:28,680 --> 00:17:33,439 Speaker 1: he means it. It feels almost heroic these days for 307 00:17:33,480 --> 00:17:36,080 Speaker 1: somebody in the public eye to come under that kind 308 00:17:36,080 --> 00:17:39,159 Speaker 1: of assault and go all in on it. You know, 309 00:17:39,400 --> 00:17:42,439 Speaker 1: Matt Gates doubled down on something funny. Harball is doubling 310 00:17:42,440 --> 00:17:46,200 Speaker 1: down on something real significant, And I think he's sending 311 00:17:46,200 --> 00:17:49,399 Speaker 1: a message that if you own whatever your opinion is, 312 00:17:50,040 --> 00:17:54,960 Speaker 1: people ultimately back down because truth is its ultimate defense. 313 00:17:55,280 --> 00:17:58,040 Speaker 1: If you own a business and have for several years 314 00:17:58,119 --> 00:18:00,320 Speaker 1: or more, you've been through it, you can use a break. 315 00:18:00,320 --> 00:18:02,200 Speaker 1: And if you have five or more employees managed to 316 00:18:02,240 --> 00:18:04,680 Speaker 1: make it through COVID, you could be eligible to receive 317 00:18:04,720 --> 00:18:07,120 Speaker 1: a payroll tax rebative up to twenty six thousand dollars 318 00:18:07,160 --> 00:18:10,239 Speaker 1: an employee, not alone, no payback, just a refund of 319 00:18:10,359 --> 00:18:13,240 Speaker 1: your taxes. Challenge. 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Answer a few questions. 329 00:18:43,240 --> 00:18:45,920 Speaker 1: They will get you hooked up. Don't miss out Get 330 00:18:46,040 --> 00:18:58,360 Speaker 1: refunds dot Com. No risk, high reward, Get refunds dot Com. 331 00:18:58,440 --> 00:19:02,160 Speaker 1: Welcome back in play, Travis buck Sexton Show. Appreciate all 332 00:19:02,200 --> 00:19:04,760 Speaker 1: of you hanging out with us. We are joined now 333 00:19:04,800 --> 00:19:07,879 Speaker 1: by Raphael Mangel. He is a Senior Fellow, head of 334 00:19:07,920 --> 00:19:10,679 Speaker 1: Research for the Policing and Public Safety Initiative at the 335 00:19:10,720 --> 00:19:15,920 Speaker 1: Manhattan Institute, contributing editor of City Journal, also the author 336 00:19:16,200 --> 00:19:19,800 Speaker 1: of Criminal in Justice. Raphael, you're in studio with us 337 00:19:19,840 --> 00:19:22,080 Speaker 1: here in New York. Appreciate you being here. Buck and 338 00:19:22,119 --> 00:19:24,119 Speaker 1: I have been talking a lot about so many of 339 00:19:24,160 --> 00:19:27,560 Speaker 1: these viral New York City crimes that have been caught 340 00:19:27,600 --> 00:19:29,960 Speaker 1: on video that have spread. Most recently, I'm sure you've 341 00:19:29,960 --> 00:19:32,479 Speaker 1: seen it. A sixteen year old kid fighting with a 342 00:19:32,520 --> 00:19:35,919 Speaker 1: police officer in the subway been everywhere that that video. 343 00:19:36,880 --> 00:19:39,800 Speaker 1: What's going on in New York City? Based on the 344 00:19:39,880 --> 00:19:43,240 Speaker 1: research and data that you have, Are you optimistic in 345 00:19:43,280 --> 00:19:45,400 Speaker 1: any way that things are getting better? Are we going 346 00:19:45,440 --> 00:19:47,720 Speaker 1: to get worse from here? How did we get to 347 00:19:47,760 --> 00:19:51,719 Speaker 1: this place where crime is an omnipresent fear for a 348 00:19:51,840 --> 00:19:54,760 Speaker 1: huge majority of people in the country right now? Well, 349 00:19:54,760 --> 00:19:56,399 Speaker 1: I'm not optimistic at all. I do think things are 350 00:19:56,440 --> 00:19:58,680 Speaker 1: going to get worse for quite a bit of time. 351 00:19:58,720 --> 00:20:00,960 Speaker 1: And part of this because we've made so many serious 352 00:20:01,000 --> 00:20:04,680 Speaker 1: structural changes to our criminal justice system, to our policing 353 00:20:04,720 --> 00:20:08,159 Speaker 1: system over the last several years, everything from bail reform, 354 00:20:08,280 --> 00:20:11,439 Speaker 1: to discovery reform, to the Right to No Act to 355 00:20:11,840 --> 00:20:16,280 Speaker 1: you know, the real discouragement of proactive policing tactics, stop 356 00:20:16,280 --> 00:20:20,080 Speaker 1: and frisk, what have you. That our criminal justice system 357 00:20:20,240 --> 00:20:22,600 Speaker 1: no longer has an infrastructure in place to kind of 358 00:20:22,680 --> 00:20:24,959 Speaker 1: keep up with the pace of crime as it's gone up. 359 00:20:25,000 --> 00:20:26,719 Speaker 1: And so I think we've been caught off guard as 360 00:20:26,720 --> 00:20:29,520 Speaker 1: a city. And until we make the decision to kind 361 00:20:29,520 --> 00:20:33,199 Speaker 1: of re establish those those pieces of that puzzle that 362 00:20:33,280 --> 00:20:35,040 Speaker 1: need to kind of work in concert with one another, 363 00:20:35,200 --> 00:20:37,880 Speaker 1: we're going to find things are going to get worse 364 00:20:37,920 --> 00:20:40,760 Speaker 1: for a while. I mean, you know the case you 365 00:20:40,800 --> 00:20:42,639 Speaker 1: mentioned that the sixteen year old fighting with police officers. 366 00:20:42,680 --> 00:20:44,600 Speaker 1: I think one of the most interesting things about that 367 00:20:44,680 --> 00:20:47,959 Speaker 1: case is that that kid had previous charges that involved 368 00:20:48,080 --> 00:20:52,640 Speaker 1: arned robbery, firearm possession. This is, you know, someone who 369 00:20:52,720 --> 00:20:55,320 Speaker 1: arguably probably shouldn't have been on the street at that time. 370 00:20:55,359 --> 00:20:57,400 Speaker 1: And what we're seeing a lot more over, these really 371 00:20:57,440 --> 00:21:01,120 Speaker 1: heinous offenses committed by people who have fifth twenty prior. Yeah, well, 372 00:21:01,119 --> 00:21:03,439 Speaker 1: it's clear that there's no fear of the justice system, 373 00:21:03,520 --> 00:21:05,760 Speaker 1: right if you're if you've already been caught. We're not 374 00:21:05,760 --> 00:21:07,639 Speaker 1: even talking about people that get away with things. I mean, 375 00:21:07,680 --> 00:21:11,560 Speaker 1: one part Clay of the analysis of the Baltimore crime 376 00:21:11,600 --> 00:21:14,399 Speaker 1: situation that I think didn't get nearly enough attention is 377 00:21:14,440 --> 00:21:19,080 Speaker 1: that one in three they they're solving, one in three, 378 00:21:19,160 --> 00:21:21,000 Speaker 1: one in three murders saw them. He's two out of 379 00:21:21,040 --> 00:21:23,440 Speaker 1: three they're not even solving. But so people even who 380 00:21:23,440 --> 00:21:25,400 Speaker 1: are caught, never mind those we're getting away with things, 381 00:21:25,400 --> 00:21:27,480 Speaker 1: don't have any fear of the criminal justice system. So Raphael, 382 00:21:27,560 --> 00:21:29,560 Speaker 1: I want to know when you dig into this and 383 00:21:29,760 --> 00:21:32,040 Speaker 1: you're looking at all the data, the numbers, and how 384 00:21:32,080 --> 00:21:36,240 Speaker 1: these systems are functioning of criminal justice so poorly that 385 00:21:36,280 --> 00:21:39,040 Speaker 1: they're not keeping people safe. That the city numbers are 386 00:21:39,040 --> 00:21:41,840 Speaker 1: showing New York sent friend La Houston, we can't name 387 00:21:41,840 --> 00:21:44,080 Speaker 1: all that. There's too many cities with the crime going 388 00:21:44,160 --> 00:21:48,800 Speaker 1: up fifty one hundred arrests. How does that happen? Meaning like, 389 00:21:48,840 --> 00:21:51,080 Speaker 1: what where are the breakdowns in the system where some 390 00:21:51,119 --> 00:21:53,480 Speaker 1: guy they go, oh, we found the guy who you 391 00:21:53,520 --> 00:21:56,879 Speaker 1: know murdered the liquor store clerk yesterday. Turns out he 392 00:21:56,920 --> 00:21:59,200 Speaker 1: was arrested fifty times. How did he get to arrest 393 00:21:59,240 --> 00:22:02,960 Speaker 1: fifty without every serving a long stretch ten fifteen years 394 00:22:02,960 --> 00:22:05,040 Speaker 1: in prison. Because our criminal justice system is a lot 395 00:22:05,040 --> 00:22:07,200 Speaker 1: more lenient than people would have you believe. Right, there's 396 00:22:07,240 --> 00:22:10,080 Speaker 1: this narrative in our country that's kind of taken hold 397 00:22:10,080 --> 00:22:13,600 Speaker 1: in the mainstream for decades now, and that narrative says 398 00:22:13,600 --> 00:22:16,199 Speaker 1: that we systematically deny people second chances. Right, we have 399 00:22:16,240 --> 00:22:18,720 Speaker 1: second chance month in the United States. You look at 400 00:22:18,720 --> 00:22:20,880 Speaker 1: the average person in prison in the United States today, 401 00:22:20,920 --> 00:22:24,359 Speaker 1: they have eleven prior arrests in nearly five prior convictions. 402 00:22:24,720 --> 00:22:27,440 Speaker 1: We are not systematically denying people's second chances. We are 403 00:22:27,480 --> 00:22:30,280 Speaker 1: giving them chance after chance after chance. In cities like Chicago, 404 00:22:30,359 --> 00:22:33,000 Speaker 1: the average person charged with a shooting a rahamicide has 405 00:22:33,000 --> 00:22:36,040 Speaker 1: twelve prior arrest Twenty percent have more than twenty prior arrests. 406 00:22:37,160 --> 00:22:39,840 Speaker 1: The reality is is that our criminal justice system has 407 00:22:39,880 --> 00:22:42,560 Speaker 1: always kind of used lengthy terms of incarceration is sort 408 00:22:42,600 --> 00:22:45,200 Speaker 1: of a last resort. Only forty percent of people who 409 00:22:45,240 --> 00:22:48,000 Speaker 1: are convicted of a felony at the state level are 410 00:22:48,040 --> 00:22:51,600 Speaker 1: then sentenced to a post conviction prison sentence. People think that, 411 00:22:51,720 --> 00:22:53,160 Speaker 1: you know, you get caught a little bit of weed 412 00:22:53,200 --> 00:22:55,760 Speaker 1: and you're going away for ten years. The nive end 413 00:22:55,800 --> 00:22:59,320 Speaker 1: mass incarceration is some guy was caught with the marijuana cigarette. No, 414 00:22:59,400 --> 00:23:02,160 Speaker 1: he's serving fifty years. That's not what's actually happening. Well, 415 00:23:03,119 --> 00:23:07,600 Speaker 1: how does racism as a fear, or rather concerns of 416 00:23:07,720 --> 00:23:11,639 Speaker 1: racism within this system, How has that shaped the current 417 00:23:11,640 --> 00:23:15,399 Speaker 1: criminal justice reality? Well, I think that's put defenders of 418 00:23:15,440 --> 00:23:18,199 Speaker 1: the sort of traditional institutions that they constitute our law 419 00:23:18,280 --> 00:23:20,560 Speaker 1: enforcement apparatus on their back foot because it's a really 420 00:23:20,560 --> 00:23:23,840 Speaker 1: hard topic to discuss, especially given the heightened tensions around 421 00:23:23,880 --> 00:23:26,280 Speaker 1: that topic, and so people have really kind of leaned 422 00:23:26,320 --> 00:23:30,240 Speaker 1: into the narrative that our criminal justice system is structurally racist. 423 00:23:30,280 --> 00:23:33,560 Speaker 1: In a bunch of different ways by highlighting these disparities 424 00:23:33,560 --> 00:23:36,600 Speaker 1: and enforcement, highlighting racial disparities, and arrests and police use 425 00:23:36,640 --> 00:23:39,480 Speaker 1: of force and incarcerations. What often gets left out of 426 00:23:39,520 --> 00:23:42,600 Speaker 1: that conversation, though, is that there's another side to that ledger, Right, 427 00:23:42,640 --> 00:23:45,760 Speaker 1: there's criminal victimizations, and those aren't evenly distributed either. Right. 428 00:23:45,760 --> 00:23:48,159 Speaker 1: We're in New York City right now, a minimum, a 429 00:23:48,240 --> 00:23:51,479 Speaker 1: minimum of ninety five percent of all shooting victims every 430 00:23:51,520 --> 00:23:53,840 Speaker 1: single year for which we have data are either black 431 00:23:53,920 --> 00:23:55,919 Speaker 1: or Hispanic, almost all of them men. That's one of 432 00:23:55,960 --> 00:23:59,120 Speaker 1: the starkest, most persistent racial disparities in our criminal justice data, 433 00:23:59,160 --> 00:24:02,680 Speaker 1: and we hear almost nothing about it from the advocates, right. 434 00:24:02,720 --> 00:24:05,720 Speaker 1: And so when you start to take those realities into account, 435 00:24:05,920 --> 00:24:08,239 Speaker 1: you start to realize two things. One that we have 436 00:24:08,320 --> 00:24:11,479 Speaker 1: to sort of take the disparities with a little bit 437 00:24:11,480 --> 00:24:13,080 Speaker 1: of a grain of salt, because we have to control 438 00:24:13,119 --> 00:24:15,560 Speaker 1: for the realities that that concentration of crime leads to, 439 00:24:15,600 --> 00:24:19,120 Speaker 1: which is a disproportionate deployment of police resources to communities 440 00:24:19,119 --> 00:24:21,280 Speaker 1: where they're needed the most. I remember back in the 441 00:24:21,320 --> 00:24:23,800 Speaker 1: nineties where the sort of critique of the NYPD was 442 00:24:23,800 --> 00:24:25,800 Speaker 1: that they weren't responsive enough to black crime. Right, you 443 00:24:25,800 --> 00:24:28,399 Speaker 1: hear it in rap music. You know they respond in 444 00:24:28,480 --> 00:24:30,760 Speaker 1: five minutes to nine and one call in a white neighborhood, 445 00:24:30,760 --> 00:24:32,399 Speaker 1: but it takes twenty minutes to get a response in 446 00:24:32,400 --> 00:24:34,359 Speaker 1: the black neighborhood. And this was the critique. Well, now 447 00:24:34,560 --> 00:24:37,520 Speaker 1: the criminal justice system has become more responsive to crime 448 00:24:37,560 --> 00:24:40,080 Speaker 1: that is concentrated in low income minority communities, and that 449 00:24:40,160 --> 00:24:42,879 Speaker 1: means that we have to accept that the interactions police 450 00:24:42,920 --> 00:24:45,480 Speaker 1: have are going to reflect that reality, that the number 451 00:24:45,480 --> 00:24:47,600 Speaker 1: of people arrested for certain crimes are going to reflect 452 00:24:47,680 --> 00:24:50,600 Speaker 1: that reality. And if you're uncomfortable with those disparities and 453 00:24:50,640 --> 00:24:52,720 Speaker 1: the enforcement statistics, I ask people, why would you be 454 00:24:52,800 --> 00:24:55,879 Speaker 1: comfortable with the disparities and the victimization statistics? Right, we 455 00:24:56,040 --> 00:24:59,000 Speaker 1: know that the homicide decline from nineteen ninety to twenty 456 00:24:59,240 --> 00:25:02,439 Speaker 1: fourteen the whole gear of life expectancy to the average 457 00:25:02,440 --> 00:25:04,840 Speaker 1: black man the United States. It only added zero point 458 00:25:04,920 --> 00:25:07,840 Speaker 1: one four years of life expectancy to the average white man. So, 459 00:25:07,920 --> 00:25:10,119 Speaker 1: as people, why would a system that you say is 460 00:25:10,160 --> 00:25:14,119 Speaker 1: designed and operated to oppress low income minority communities produce 461 00:25:14,160 --> 00:25:17,240 Speaker 1: such benefits that are unequally distributed within these communities when 462 00:25:17,240 --> 00:25:19,879 Speaker 1: the system achieves it stated end, as stated by the 463 00:25:19,880 --> 00:25:22,119 Speaker 1: people at the system's home. Ask any police chief in America, 464 00:25:22,160 --> 00:25:24,200 Speaker 1: what do you want to achieve crime declines? Who's that 465 00:25:24,240 --> 00:25:26,480 Speaker 1: going to help? Not rich white people. That is a 466 00:25:26,520 --> 00:25:30,800 Speaker 1: phenomenal analysis, by the way, and an easy analogy to 467 00:25:30,920 --> 00:25:33,720 Speaker 1: draw here too, for if people out there are having 468 00:25:33,720 --> 00:25:37,239 Speaker 1: to fight back against the racism argument we use on 469 00:25:37,240 --> 00:25:42,159 Speaker 1: this show, are police sexist? They overwhelmingly arrest men? That 470 00:25:42,359 --> 00:25:45,320 Speaker 1: isn't because they're out there trying to arrest men. It's 471 00:25:45,359 --> 00:25:49,719 Speaker 1: because men overwhelmingly commit violent crimes and as a result, 472 00:25:49,760 --> 00:25:53,679 Speaker 1: are wildly and disproportionately represented in the people who are 473 00:25:53,680 --> 00:25:56,679 Speaker 1: put behind mars for violent crime. All right, so you 474 00:25:56,800 --> 00:25:59,560 Speaker 1: have a magic wand they come to you, Well, we'll 475 00:25:59,640 --> 00:26:01,520 Speaker 1: use New York City is an example, because we're sitting 476 00:26:01,560 --> 00:26:04,760 Speaker 1: here right now, and they say, you get to implement 477 00:26:04,960 --> 00:26:08,359 Speaker 1: three policies that you believe or a couple of policies. 478 00:26:08,680 --> 00:26:12,280 Speaker 1: What should we be doing to drive down violent crime. 479 00:26:12,320 --> 00:26:14,200 Speaker 1: You're given a magic wand you don't have to worry 480 00:26:14,200 --> 00:26:18,200 Speaker 1: about the political attacks everything else. What would happen that 481 00:26:18,240 --> 00:26:21,800 Speaker 1: you could implement it as a result to lower violent 482 00:26:21,840 --> 00:26:24,080 Speaker 1: crime in your mind. One thing that people don't mention 483 00:26:24,119 --> 00:26:26,480 Speaker 1: nearly enough is that I would drastically increase the funding 484 00:26:26,480 --> 00:26:28,840 Speaker 1: directed at our criminal justice system. One of the reasons 485 00:26:28,920 --> 00:26:31,720 Speaker 1: we talk about issues like bail reform, etc. Are largely 486 00:26:31,720 --> 00:26:33,960 Speaker 1: a function of how long it takes a case to 487 00:26:34,000 --> 00:26:37,320 Speaker 1: get from filing to disposition, which is influences how long 488 00:26:37,320 --> 00:26:39,480 Speaker 1: people stand to spend. As tell you, I have a 489 00:26:39,480 --> 00:26:42,520 Speaker 1: long time friend in the disca attorney's office in New 490 00:26:42,600 --> 00:26:44,639 Speaker 1: York who said one thing that no one focused on 491 00:26:44,680 --> 00:26:47,119 Speaker 1: at all was that in response to some of these 492 00:26:47,640 --> 00:26:50,520 Speaker 1: these anti police sort of pro I don't know pro 493 00:26:50,600 --> 00:26:52,600 Speaker 1: crimes how he describe it, but that the cops are 494 00:26:52,640 --> 00:26:56,119 Speaker 1: two rough groups, was that they change the requirements for 495 00:26:56,280 --> 00:27:00,800 Speaker 1: how much disc like. They essentially made the burden paperwork 496 00:27:01,040 --> 00:27:04,879 Speaker 1: and bureaucratic burden of bringing every prosecution so high that 497 00:27:05,000 --> 00:27:08,680 Speaker 1: it dramatically drop down the number of actual cases ads 498 00:27:08,720 --> 00:27:10,840 Speaker 1: can bring just in terms of man hours. They just said, 499 00:27:10,840 --> 00:27:12,480 Speaker 1: we need to do so much paperwork and so much 500 00:27:12,480 --> 00:27:15,080 Speaker 1: stuff that we can't even spend the hours to bring 501 00:27:15,080 --> 00:27:16,880 Speaker 1: the prosecutions we wanted. And on top of that, there 502 00:27:16,920 --> 00:27:19,600 Speaker 1: was no additional funding given for them to comply with 503 00:27:19,600 --> 00:27:21,679 Speaker 1: that additional burden, right. I mean we see this across 504 00:27:21,680 --> 00:27:24,560 Speaker 1: the criminal justice system. You know, lots of people complain 505 00:27:24,600 --> 00:27:27,320 Speaker 1: about overcrowding in prisons. Every time you try to spend 506 00:27:27,320 --> 00:27:30,240 Speaker 1: money on you know, increasing our carceral capacity, what do 507 00:27:30,280 --> 00:27:32,880 Speaker 1: you hear, No new jails, right, lots of people complained, 508 00:27:33,440 --> 00:27:36,000 Speaker 1: you know, want to impose new requirements on police to 509 00:27:36,400 --> 00:27:39,840 Speaker 1: file all kinds of paperwork, comply with corporate monitors, etc. Again, 510 00:27:39,920 --> 00:27:43,320 Speaker 1: no new funding added for that. The idea is, I think, 511 00:27:43,640 --> 00:27:46,080 Speaker 1: is that we want to starve this beast by giving 512 00:27:46,080 --> 00:27:48,080 Speaker 1: it all this additional work to do, and then we're 513 00:27:48,080 --> 00:27:49,639 Speaker 1: not going to fund that effort at all, and then 514 00:27:49,680 --> 00:27:52,560 Speaker 1: we'll get less policing, We'll get less prosecution, less incarceration, 515 00:27:52,560 --> 00:27:54,840 Speaker 1: because that's what we really want. Fine, I wish there 516 00:27:54,840 --> 00:27:56,960 Speaker 1: would be a little more open about that. But fine, 517 00:27:57,000 --> 00:27:59,159 Speaker 1: but then let's have the debate about what that means 518 00:27:59,400 --> 00:28:03,000 Speaker 1: for the community you claim to represent, because again, crime 519 00:28:03,080 --> 00:28:05,160 Speaker 1: is not evenly distributed in New York City. Five percent 520 00:28:05,240 --> 00:28:07,360 Speaker 1: of street segments see fifty percent of all crime, three 521 00:28:07,400 --> 00:28:09,359 Speaker 1: and a half percent of street segmentsy fifty percent of 522 00:28:09,400 --> 00:28:11,800 Speaker 1: all violent crime. Right, if you live on the Upper 523 00:28:11,800 --> 00:28:14,280 Speaker 1: West Side of Manhattan and a nice building with a doorman. 524 00:28:14,640 --> 00:28:17,040 Speaker 1: You know, the police can reduce stops and frisks by 525 00:28:17,080 --> 00:28:19,119 Speaker 1: ninety percent. Your life's probably not going to change. But 526 00:28:19,160 --> 00:28:22,840 Speaker 1: if you live in Brownsvill, Wrookland, Washington Heights, mad Haven 527 00:28:22,880 --> 00:28:25,119 Speaker 1: and the South Bronx, it's a very very different story, 528 00:28:26,160 --> 00:28:27,840 Speaker 1: and I think we need to tell that story more so. 529 00:28:27,920 --> 00:28:30,359 Speaker 1: You know, one thing is additional funding. There are a 530 00:28:30,359 --> 00:28:33,080 Speaker 1: couple of you know, the discovery reform, the bail reform 531 00:28:33,119 --> 00:28:37,000 Speaker 1: I think should certainly be re examined. Police funding needs 532 00:28:37,000 --> 00:28:38,960 Speaker 1: to go up. I mean, the recruitment of retention crisis 533 00:28:39,040 --> 00:28:41,400 Speaker 1: is real. But the main thing is that we need 534 00:28:41,440 --> 00:28:43,600 Speaker 1: to get all these institutions back on the same page. 535 00:28:43,880 --> 00:28:46,960 Speaker 1: We could count on in the nineteen nineties that the police, 536 00:28:47,080 --> 00:28:50,680 Speaker 1: the prosecutor, the judges, the correctional system, the parole board, 537 00:28:50,680 --> 00:28:52,200 Speaker 1: they were all on the same page. They all wanted 538 00:28:52,240 --> 00:28:53,800 Speaker 1: to do the same thing, and that was take dangerous 539 00:28:53,800 --> 00:28:56,120 Speaker 1: criminals off the street to give communities room to breathe. 540 00:28:56,480 --> 00:28:59,160 Speaker 1: Now we can't really count on that. Oftentimes the police 541 00:28:59,160 --> 00:29:03,760 Speaker 1: are working across purposes with prosecutors, at cross purposes with judges, 542 00:29:03,760 --> 00:29:06,440 Speaker 1: with the judiciary, with the parole board and so when 543 00:29:06,440 --> 00:29:09,520 Speaker 1: you see somebody who's got fifty one hundred prior arrests, 544 00:29:09,600 --> 00:29:11,160 Speaker 1: what that tells you is that the police are actually 545 00:29:11,160 --> 00:29:13,600 Speaker 1: still doing a pretty good job of focusing their resources 546 00:29:13,600 --> 00:29:16,040 Speaker 1: on the people that pose the biggest dangers, but the 547 00:29:16,080 --> 00:29:17,840 Speaker 1: rest of the system is not doing that. I can 548 00:29:17,960 --> 00:29:19,840 Speaker 1: say that does hurt from the cops. I know from 549 00:29:19,880 --> 00:29:22,560 Speaker 1: my time the NPD that hurts morale at Absolutely cops 550 00:29:22,640 --> 00:29:24,720 Speaker 1: really don't like having to wrestle someone to the ground 551 00:29:24,720 --> 00:29:27,000 Speaker 1: and go, oh, this is the fiftieth time we had 552 00:29:27,040 --> 00:29:30,200 Speaker 1: the same guy, same guy. If people love what you're saying, Raphael, 553 00:29:30,280 --> 00:29:31,840 Speaker 1: and I bet there's a ton of people out there 554 00:29:31,880 --> 00:29:34,200 Speaker 1: in our audience who do how can they find you? 555 00:29:34,240 --> 00:29:36,840 Speaker 1: What can they do to read more about your content? 556 00:29:36,920 --> 00:29:38,560 Speaker 1: I mean check out, you know, all of our work 557 00:29:38,560 --> 00:29:40,640 Speaker 1: at the Policing and Public Safety Initiative at the Manhattan 558 00:29:40,640 --> 00:29:44,000 Speaker 1: Institute Manhattan Dash Institute dot org. I'm also contributing editor 559 00:29:44,040 --> 00:29:45,880 Speaker 1: at the City Journal, which has been covering this issue 560 00:29:45,920 --> 00:29:49,880 Speaker 1: for decades doing an outstanding job City Dash Journal dot org. 561 00:29:50,200 --> 00:29:52,680 Speaker 1: And my book is criminal Injustice, What the push for 562 00:29:52,760 --> 00:29:54,880 Speaker 1: decarceration and d policing gets wrong. I'n to buy a 563 00:29:54,880 --> 00:29:56,520 Speaker 1: copy today. We're gonna have a copy here on the shelf. 564 00:29:56,560 --> 00:29:59,800 Speaker 1: After read it added to the list. Fantastic, Thanks so much, fantastic. Man, 565 00:30:00,000 --> 00:30:03,800 Speaker 1: I appreciate the time. Look, we talked about it yesterday Washington, DC. 566 00:30:04,120 --> 00:30:07,160 Speaker 1: One hand, you have President Trump speaking for ninety minutes, 567 00:30:07,280 --> 00:30:10,800 Speaker 1: got tons of ideas and energy, given lots of strength 568 00:30:10,840 --> 00:30:13,160 Speaker 1: and confidence out there. On the other hand, what did 569 00:30:13,160 --> 00:30:17,600 Speaker 1: you have Joe Biden? Twenty seconds that they multiple cut? 570 00:30:17,840 --> 00:30:20,479 Speaker 1: Did you see that twenty seconds where he talked and 571 00:30:20,520 --> 00:30:22,640 Speaker 1: they had to cut it like four or five different 572 00:30:22,640 --> 00:30:25,720 Speaker 1: times because the guy could barely talk for twenty seconds. 573 00:30:25,720 --> 00:30:29,880 Speaker 1: He also had that weird deer in headlights. Stare going on, 574 00:30:30,720 --> 00:30:34,240 Speaker 1: why does this happen? Energy and focus can make a difference. 575 00:30:34,280 --> 00:30:36,800 Speaker 1: Trump's got it, Biden doesn't. That's also why there's a 576 00:30:36,800 --> 00:30:40,880 Speaker 1: brand like Chalk Company delivering healthy, all natural supplements to 577 00:30:40,920 --> 00:30:45,520 Speaker 1: your home and mind that contain the natural herbal ingredients 578 00:30:45,520 --> 00:30:49,600 Speaker 1: that help restore testosterone, energy and focus to every man 579 00:30:49,720 --> 00:30:53,960 Speaker 1: and woman in America. Ambitious, but man, it is a 580 00:30:54,040 --> 00:30:56,719 Speaker 1: worthy goal. And right now you can sign up for 581 00:30:56,800 --> 00:31:02,480 Speaker 1: Chalk's Vitality Stack at Chalk dot com. That's c hoq 582 00:31:02,800 --> 00:31:07,680 Speaker 1: dot com. Use my name Clay and the number ninety five. 583 00:31:07,840 --> 00:31:10,960 Speaker 1: Listen closely, my name Clay and the number ninety five 584 00:31:11,440 --> 00:31:14,800 Speaker 1: to get ninety five percent off your first month of 585 00:31:15,000 --> 00:31:19,360 Speaker 1: any Chalk subscription under seventy bucks. It's gonna cost you 586 00:31:19,480 --> 00:31:25,200 Speaker 1: virtually nothing. C hoq dot com plus Clay ninety five 587 00:31:25,400 --> 00:31:29,200 Speaker 1: ninety five percent off virtually no cost, limited availability. Do 588 00:31:29,320 --> 00:31:32,320 Speaker 1: it right now while you were hearing me. Chalk dot 589 00:31:32,320 --> 00:31:36,200 Speaker 1: com c choq dot com and the promo code Clay 590 00:31:36,320 --> 00:31:39,640 Speaker 1: ninety five ninety five percent off your first month chalk 591 00:31:39,680 --> 00:31:51,000 Speaker 1: dot Com Clay ninety five. Welcome back, Clay, Travis end 592 00:31:51,040 --> 00:31:54,080 Speaker 1: Buck Sexton Show, closing up shop for today. I think 593 00:31:54,120 --> 00:31:57,560 Speaker 1: I'm gonna be left alone here in the Freedom Bunker 594 00:31:57,600 --> 00:32:00,760 Speaker 1: tomorrow fending off all the commies. But all of you 595 00:32:00,840 --> 00:32:04,400 Speaker 1: will fix bayonets with me all across the country, because 596 00:32:04,480 --> 00:32:06,880 Speaker 1: Clay is going to be out there swinging a golf 597 00:32:06,880 --> 00:32:10,320 Speaker 1: club around with some big, big name folks at the 598 00:32:10,480 --> 00:32:14,600 Speaker 1: live golf tournament. Clay, what should everyone be expecting? And 599 00:32:14,880 --> 00:32:16,400 Speaker 1: is there a chance we can get you to put 600 00:32:16,400 --> 00:32:19,640 Speaker 1: your southside down and call in from the seventeenth hole. 601 00:32:19,960 --> 00:32:23,880 Speaker 1: I yes, I will be during the show tomorrow out 602 00:32:23,920 --> 00:32:27,360 Speaker 1: at Bedminster playing in the pro am. I know Rush 603 00:32:27,440 --> 00:32:29,080 Speaker 1: used to play in a lot of proams back in 604 00:32:29,120 --> 00:32:31,920 Speaker 1: the day. I remember talking to Ali about this. So 605 00:32:32,240 --> 00:32:36,040 Speaker 1: I am a mediocre golfer at best. But right now 606 00:32:36,240 --> 00:32:39,560 Speaker 1: I believe I'm going to be playing with Phil Mickelson 607 00:32:40,080 --> 00:32:44,320 Speaker 1: eighteen holes at Bedminster tomorrow, so there will be a 608 00:32:44,320 --> 00:32:47,360 Speaker 1: lot of people playing out there. It should be quite 609 00:32:47,400 --> 00:32:50,880 Speaker 1: the scene. And I think Phil Mickelson is going to 610 00:32:50,960 --> 00:32:54,280 Speaker 1: have not a very a lot of not very favorable 611 00:32:54,320 --> 00:32:56,680 Speaker 1: things to say about my golf game. By the second 612 00:32:56,760 --> 00:32:59,440 Speaker 1: or third hole we're on, we want a live critique 613 00:32:59,520 --> 00:33:03,160 Speaker 1: from Phil. Is he the great? Him? Jack Nicholas like 614 00:33:03,160 --> 00:33:05,200 Speaker 1: these are some of the greatest of all times? Yeah, 615 00:33:05,240 --> 00:33:07,320 Speaker 1: I think if you were saying to the average golf 616 00:33:07,320 --> 00:33:10,040 Speaker 1: fan out there right now, name two golfers in the 617 00:33:10,120 --> 00:33:14,280 Speaker 1: last twenty five years that you have followed the most 618 00:33:14,640 --> 00:33:17,000 Speaker 1: tiger Woods, and Phil Nicholson would be the answer. And 619 00:33:17,080 --> 00:33:19,280 Speaker 1: I don't even think there's a close third last twenty 620 00:33:19,280 --> 00:33:21,640 Speaker 1: five years, not talking about the last forty or fifty. 621 00:33:21,760 --> 00:33:24,240 Speaker 1: Jack Nicholas, I just remember him from the video game. Yeah, 622 00:33:24,400 --> 00:33:27,280 Speaker 1: Nicholas won in eighty six. I think at the Masters 623 00:33:27,400 --> 00:33:30,680 Speaker 1: was his last major. If I remember correctly, so again, 624 00:33:30,800 --> 00:33:34,120 Speaker 1: last twenty five thirty years it would be Tiger Woods 625 00:33:34,440 --> 00:33:36,800 Speaker 1: and Phil Nicholson. So I'm pretty excited to get to 626 00:33:36,800 --> 00:33:38,360 Speaker 1: play with him. I do have to out you here 627 00:33:38,360 --> 00:33:40,920 Speaker 1: for a second on something, though, because they're just some 628 00:33:40,960 --> 00:33:43,240 Speaker 1: things where I assume Clay and I do a show 629 00:33:43,280 --> 00:33:45,520 Speaker 1: together three hours a day, We're sharing thoughts all the time, 630 00:33:45,880 --> 00:33:48,880 Speaker 1: and I say to Clay, well, it's obvious what the 631 00:33:48,880 --> 00:33:52,640 Speaker 1: best golf movie of all time is, and I'm thinking, 632 00:33:52,680 --> 00:33:55,400 Speaker 1: of course, we don't even have to establish that it's Caddyshack, 633 00:33:55,480 --> 00:33:59,680 Speaker 1: because everyone knows that it's Caddyshack. Clay pulls a curveball 634 00:33:59,760 --> 00:34:04,440 Speaker 1: on me here and decides to throw Happy Gilmore at 635 00:34:04,440 --> 00:34:07,400 Speaker 1: the top of his list like a barbarie. I just 636 00:34:07,600 --> 00:34:10,839 Speaker 1: I like Happy Gilmore more than I do Caddy shack Man. 637 00:34:10,960 --> 00:34:12,720 Speaker 1: I don't even I don't even know how that is possible. 638 00:34:12,760 --> 00:34:16,719 Speaker 1: I will say, of the Ken and of Adam Sandler films, 639 00:34:17,320 --> 00:34:19,080 Speaker 1: I think there is a strong case who made that 640 00:34:19,120 --> 00:34:23,799 Speaker 1: Happy Gilmore is the best, probably even better than what's 641 00:34:23,800 --> 00:34:27,080 Speaker 1: the Billy Madley Madison is Billy Madison, I would say 642 00:34:27,120 --> 00:34:30,480 Speaker 1: for the for the Adam Sandler movies, Billy Madison and 643 00:34:30,520 --> 00:34:33,560 Speaker 1: Happy Gilmore are the two best. And I'm an Adam 644 00:34:33,600 --> 00:34:36,840 Speaker 1: Sandler fan, so I think Happy Gilmore the price is 645 00:34:36,920 --> 00:34:39,120 Speaker 1: wrong bitch, which I know people can be like, oh 646 00:34:39,160 --> 00:34:42,880 Speaker 1: my god. That's a quote directly from uh from Adam 647 00:34:42,920 --> 00:34:45,319 Speaker 1: Saint Bob Barker, right Bob Barker, which is one of 648 00:34:45,320 --> 00:34:48,919 Speaker 1: the funniest scenes in any movie ever, when you Bob 649 00:34:48,960 --> 00:34:52,759 Speaker 1: Barker out of nowhere. Uh, I mean if you have 650 00:34:52,920 --> 00:34:55,399 Speaker 1: in some right hooks. Yeah, it's it's quite a scene, 651 00:34:55,520 --> 00:34:59,200 Speaker 1: quite a sequence. Although caddy Shack, though, it is you 652 00:34:59,239 --> 00:35:02,000 Speaker 1: know Bill Murry, he just ad libbed all those lines. 653 00:35:02,040 --> 00:35:04,920 Speaker 1: He basically created this character out of nothing, which is 654 00:35:04,920 --> 00:35:07,759 Speaker 1: pretty amazing. And I always think of this because when 655 00:35:07,840 --> 00:35:12,480 Speaker 1: the Wonderful Missus Travis is, Clay's wife is like, oh, yeah, 656 00:35:12,640 --> 00:35:14,840 Speaker 1: Buck can hang out at the beach house anytime, and 657 00:35:14,920 --> 00:35:17,160 Speaker 1: Clay's like, yeah, there's gonna be like an area down 658 00:35:17,239 --> 00:35:21,120 Speaker 1: on the beach where the whole pool versus palm discussion. Yeah, 659 00:35:21,160 --> 00:35:23,120 Speaker 1: I feel like I'm always being told not the pool 660 00:35:23,160 --> 00:35:25,640 Speaker 1: for you, the pond. So that's from Caddyshack for those 661 00:35:25,640 --> 00:35:28,440 Speaker 1: of you who don't know, Yeah, I might be a 662 00:35:30,000 --> 00:35:32,960 Speaker 1: total people trusted me until now and Now. I went 663 00:35:32,960 --> 00:35:34,880 Speaker 1: with Happy You're More Over Caddyshack, but I think it's 664 00:35:34,880 --> 00:35:36,839 Speaker 1: the funnier film. What is the best part of your 665 00:35:36,880 --> 00:35:39,399 Speaker 1: golf I have? I don't have a golf game, which 666 00:35:39,440 --> 00:35:42,080 Speaker 1: I'm ashamed of because my dad is a very solid golfer. 667 00:35:42,120 --> 00:35:44,680 Speaker 1: But that is actually I don't know that I have 668 00:35:44,760 --> 00:35:46,799 Speaker 1: a best part of my golf. Don't you just say 669 00:35:46,840 --> 00:35:49,120 Speaker 1: your short game, because like, who's really gonna check? But 670 00:35:49,200 --> 00:35:51,760 Speaker 1: the short game is actually, I think far more difficult, 671 00:35:51,800 --> 00:35:53,359 Speaker 1: like in the te box. If you can just hit 672 00:35:53,400 --> 00:35:55,759 Speaker 1: a decent drive, usually the fairways have a lot of 673 00:35:55,760 --> 00:35:59,600 Speaker 1: places you can land if you're short. It's certainly not putting, 674 00:35:59,640 --> 00:36:05,080 Speaker 1: although probably should be. I'm bad at everything, but I'm 675 00:36:05,160 --> 00:36:08,399 Speaker 1: equally bad at everything. I'm not atrocious necessarily at any 676 00:36:08,960 --> 00:36:12,160 Speaker 1: I also remember going to I was brought by family 677 00:36:12,239 --> 00:36:15,359 Speaker 1: friends to a very fancy golf club out in Long 678 00:36:15,400 --> 00:36:17,920 Speaker 1: Island when I was like ten years old. I'll ever 679 00:36:17,960 --> 00:36:20,880 Speaker 1: forget this because I was like, that sandtrap looks like fun, 680 00:36:20,920 --> 00:36:23,279 Speaker 1: and I just decided to run through a sand trap 681 00:36:23,480 --> 00:36:26,520 Speaker 1: on a golf course. I had never been screamed at 682 00:36:26,560 --> 00:36:29,319 Speaker 1: by old men that loud in my life. I'd never 683 00:36:29,360 --> 00:36:31,600 Speaker 1: forgot that you mess with their sand trap, They're not 684 00:36:32,120 --> 00:36:34,719 Speaker 1: very unhappy with you. I had never golfed until I 685 00:36:34,760 --> 00:36:37,000 Speaker 1: was like twenty two, so I was in law school 686 00:36:37,040 --> 00:36:39,319 Speaker 1: when I actually started to play. I played a little bit, 687 00:36:39,400 --> 00:36:41,680 Speaker 1: got somewhat decent than I had kids, and I have 688 00:36:41,760 --> 00:36:43,560 Speaker 1: knocked been out on the course a lot since. So 689 00:36:43,680 --> 00:36:45,560 Speaker 1: Bill Mickelson, if we can get him to call in 690 00:36:45,560 --> 00:36:47,759 Speaker 1: with us, I think you guys are going to love 691 00:36:47,840 --> 00:36:51,120 Speaker 1: his destruction of my golf game should be fun. Sleet 692 00:36:51,160 --> 00:37:02,080 Speaker 1: Travis and Buck Sexton on the front lines of four