1 00:00:00,240 --> 00:00:04,120 Speaker 1: Welcome in Monday edition Clay Travis Buck Sexton Show. I 2 00:00:04,160 --> 00:00:09,000 Speaker 1: hope all of you have had fabulous weekends. We are 3 00:00:09,080 --> 00:00:12,040 Speaker 1: ready to make sense of the world for all of you. 4 00:00:12,400 --> 00:00:16,639 Speaker 1: A lot to discuss. CNN has a poll out that 5 00:00:16,720 --> 00:00:20,120 Speaker 1: shows Trump up six forty nine to forty three when 6 00:00:20,160 --> 00:00:24,919 Speaker 1: you put in multiple candidates. He's up nine on Joe Biden, 7 00:00:25,000 --> 00:00:28,000 Speaker 1: the largest lead that Trump has ever had in any poll. 8 00:00:28,600 --> 00:00:34,559 Speaker 1: CBS News has Trump up in Pennsylvania and also up 9 00:00:34,560 --> 00:00:38,680 Speaker 1: in Wisconsin, down a small amount in Michigan. If Trump 10 00:00:38,760 --> 00:00:42,320 Speaker 1: wins one of those three battleground states and wins where 11 00:00:42,360 --> 00:00:45,920 Speaker 1: he is up in Arizona and Georgia, he would be president. 12 00:00:46,720 --> 00:00:51,879 Speaker 1: But the gambling markets, which I enjoy watching, still have 13 00:00:52,040 --> 00:00:56,280 Speaker 1: Biden as a small favorite, and they swung substantially recently. 14 00:00:56,320 --> 00:00:58,600 Speaker 1: What's going on there, we'll dive into it. Buck has 15 00:00:58,600 --> 00:01:02,040 Speaker 1: broken out puppy to start off the show here in 16 00:01:02,080 --> 00:01:07,720 Speaker 1: a desperate effort to win favor. Maybe also not going 17 00:01:07,840 --> 00:01:11,760 Speaker 1: to add our ratings in Christy Noam's department there, which 18 00:01:11,760 --> 00:01:14,360 Speaker 1: we're gonna have to talk about the dog shooting that 19 00:01:14,520 --> 00:01:18,720 Speaker 1: has potentially knocked her out of vice presidential running. I mean, 20 00:01:18,840 --> 00:01:20,640 Speaker 1: this is a crazy. I can't believe this is a 21 00:01:20,680 --> 00:01:24,720 Speaker 1: real story. We'll talk about that. Buck Ginger not a fan, 22 00:01:25,040 --> 00:01:26,960 Speaker 1: fair to say of Christineham. 23 00:01:27,360 --> 00:01:30,240 Speaker 2: Was not going to vote for her anyway, but definitely 24 00:01:30,520 --> 00:01:31,000 Speaker 2: not a fan. 25 00:01:31,120 --> 00:01:35,800 Speaker 1: Now we'll talk about that. But I wanted to start 26 00:01:35,880 --> 00:01:41,000 Speaker 1: with this, Buck. I went to Georgia Washington University. It 27 00:01:41,120 --> 00:01:45,360 Speaker 1: is a school just down the street from the White House, 28 00:01:45,360 --> 00:01:49,440 Speaker 1: about eight blocks away. I went there undergrad. They gave 29 00:01:49,480 --> 00:01:52,440 Speaker 1: me a scholarship. I went up there. I loved being 30 00:01:52,480 --> 00:01:55,440 Speaker 1: in DC. Buck, you lived in DC. It's a great town. 31 00:01:56,320 --> 00:01:58,800 Speaker 1: This is to me a huge story. And I want 32 00:01:58,840 --> 00:02:03,640 Speaker 1: to extend an invite to the president of George Washington University. 33 00:02:03,760 --> 00:02:08,760 Speaker 1: I believe her name is Ellen Grandberg. Reports out there. 34 00:02:09,040 --> 00:02:12,600 Speaker 1: Fox News led its last hour of programming with it. 35 00:02:12,760 --> 00:02:16,839 Speaker 1: I think this is a really big deal. George Washington's 36 00:02:16,960 --> 00:02:22,639 Speaker 1: central campus squad has been taken over by pro Palestinian 37 00:02:22,720 --> 00:02:25,959 Speaker 1: if you want to phrase it as that anti Israel protesters. 38 00:02:26,440 --> 00:02:29,239 Speaker 1: They have all the tents, everything else, similar to what's 39 00:02:29,240 --> 00:02:35,000 Speaker 1: going on at Columbia, at NYU, at UCLA, at USC 40 00:02:35,320 --> 00:02:40,080 Speaker 1: many different places out there. But what's different is, and 41 00:02:40,120 --> 00:02:42,720 Speaker 1: I believe you guys in the studio can correct me 42 00:02:42,760 --> 00:02:45,040 Speaker 1: if I'm wrong, because you guys are in New York City. 43 00:02:45,160 --> 00:02:48,160 Speaker 1: I believe we have a new deadline that has been 44 00:02:48,200 --> 00:02:52,080 Speaker 1: extended to the Columbia protesters. It's like you're negotiating with terrorists. 45 00:02:52,480 --> 00:02:56,959 Speaker 1: They have to leave the campus by two pm Eastern time. 46 00:02:57,000 --> 00:02:59,359 Speaker 2: Have you seen this? I think this is the latest deadline. 47 00:02:59,560 --> 00:03:03,120 Speaker 2: But the thing about this is that the the or 48 00:03:03,160 --> 00:03:07,040 Speaker 2: else in these situations, and this is this is definitely 49 00:03:07,080 --> 00:03:10,240 Speaker 2: a problem as it stands right now for Democrats. Look, 50 00:03:10,280 --> 00:03:15,400 Speaker 2: it's almost May, so we're getting into the summer months 51 00:03:15,440 --> 00:03:18,360 Speaker 2: pretty quickly for the election, and that means that the time, 52 00:03:18,960 --> 00:03:23,639 Speaker 2: you know, the the timetable is collapsing pretty quickly. If 53 00:03:23,639 --> 00:03:27,919 Speaker 2: this continues, though, and I think it will certainly through graduations, 54 00:03:28,040 --> 00:03:30,920 Speaker 2: which are now some of them being canceled. What are 55 00:03:30,960 --> 00:03:33,120 Speaker 2: they going to do about this? What are what are 56 00:03:33,120 --> 00:03:37,800 Speaker 2: the Democrats? What are police forces, police commissioners, mayors of 57 00:03:37,880 --> 00:03:41,760 Speaker 2: Democrat cities. There's also a situation clay where the Red 58 00:03:41,840 --> 00:03:45,280 Speaker 2: States are if they have this problem in one of 59 00:03:45,280 --> 00:03:49,240 Speaker 2: their Blue Democrat cities handling it, I think far more 60 00:03:49,400 --> 00:03:53,119 Speaker 2: adeptly than the Blue States are because the statewide politics 61 00:03:53,160 --> 00:03:55,480 Speaker 2: are different. The state House has a different view of it. 62 00:03:55,520 --> 00:03:58,120 Speaker 2: That has clearly been the case in Florida. It's been 63 00:03:58,160 --> 00:04:01,440 Speaker 2: the case in Texas as well well. And here's the 64 00:04:01,520 --> 00:04:07,000 Speaker 2: thing they want exactly what is being threatened. I was 65 00:04:07,040 --> 00:04:09,720 Speaker 2: there at the Occupy Wall Street protests. Not only at 66 00:04:09,760 --> 00:04:12,000 Speaker 2: the protests, I was there the night that they broke 67 00:04:12,120 --> 00:04:16,360 Speaker 2: up Zukati Park and they sent in the NYPD and 68 00:04:16,400 --> 00:04:20,720 Speaker 2: they were you know, pepper spraying and kettling. Kettling is 69 00:04:20,760 --> 00:04:24,320 Speaker 2: a process where they kind of rope off a whole 70 00:04:24,320 --> 00:04:26,680 Speaker 2: group of people and then they swoop in and make 71 00:04:26,720 --> 00:04:29,599 Speaker 2: a whole bunch of arrests. Uh, they did this, And 72 00:04:30,360 --> 00:04:31,840 Speaker 2: the whole point of it is that they get the 73 00:04:31,920 --> 00:04:35,640 Speaker 2: video footage, They get the why are you arresting me? 74 00:04:35,760 --> 00:04:37,640 Speaker 2: You know, they're screaming. It's like you're being arrested because 75 00:04:37,640 --> 00:04:39,280 Speaker 2: you were told one hundred times if you don't leave, 76 00:04:39,320 --> 00:04:42,680 Speaker 2: you're going to be arrested. And ultimately, this is where 77 00:04:42,720 --> 00:04:48,120 Speaker 2: it crosses over into civil disobedience. This is not a protest. Really, 78 00:04:48,520 --> 00:04:51,760 Speaker 2: when you're when you're trespassing, you've gone beyond protest. If 79 00:04:51,800 --> 00:04:54,200 Speaker 2: someone said I'm you know, someone showed up at your house, 80 00:04:54,240 --> 00:04:57,560 Speaker 2: Clay and and they decided they were going to just 81 00:04:57,600 --> 00:05:00,320 Speaker 2: camp on your front lawn and say I'm just prot testing. 82 00:05:00,320 --> 00:05:02,760 Speaker 2: You'd say, no, you're trespassing. You're actually not allowed to 83 00:05:02,800 --> 00:05:05,960 Speaker 2: be here. And that's where the crossover is. These are 84 00:05:06,000 --> 00:05:10,839 Speaker 2: all on private property. Zukati Park was actually private property 85 00:05:10,839 --> 00:05:13,160 Speaker 2: as well, which didn't get enough attention. But nobody wanted 86 00:05:13,200 --> 00:05:15,520 Speaker 2: to be the one to say the cops are going in. 87 00:05:15,880 --> 00:05:17,960 Speaker 2: So by breaking an up clay, they give them the 88 00:05:18,000 --> 00:05:21,000 Speaker 2: footage they want. They're not going to prosecute them after 89 00:05:21,040 --> 00:05:24,000 Speaker 2: breaking it up. What stops these students from coming back 90 00:05:24,040 --> 00:05:26,800 Speaker 2: in the discipline has to come from the universities. The 91 00:05:26,839 --> 00:05:28,120 Speaker 2: universities don't want to do it. 92 00:05:28,560 --> 00:05:31,960 Speaker 1: Okay, So here's the interesting part. You're right, credit to 93 00:05:32,839 --> 00:05:40,160 Speaker 1: Brian kemp Ron DeSantis and the governors of many red states. 94 00:05:40,200 --> 00:05:42,200 Speaker 1: A lot of these Red states don't even have these 95 00:05:42,880 --> 00:05:45,960 Speaker 1: protests springing up where people are taking over the university. 96 00:05:47,080 --> 00:05:51,360 Speaker 1: But to me, and Texas governor has done a fabulous 97 00:05:51,440 --> 00:05:55,599 Speaker 1: job as well. But to me, what is super interesting 98 00:05:55,600 --> 00:05:59,680 Speaker 1: about the gw situation is there are reports that the 99 00:05:59,720 --> 00:06:03,839 Speaker 1: president of George Washington University again Ellen Grandberg, and I 100 00:06:03,880 --> 00:06:07,000 Speaker 1: extend further and offer I imagine we have some people 101 00:06:07,000 --> 00:06:12,279 Speaker 1: from GW who are listening, grads, administrators, whatnot. I would 102 00:06:12,320 --> 00:06:15,040 Speaker 1: bet you're undercover potentially if you're listening to this show. 103 00:06:15,080 --> 00:06:17,599 Speaker 1: But I would bet that there are some listening. She 104 00:06:17,920 --> 00:06:23,960 Speaker 1: reportedly requested for the Washington d C. Police to clear 105 00:06:24,120 --> 00:06:28,760 Speaker 1: the protesters, and the DC police are refusing to do so. 106 00:06:30,160 --> 00:06:34,520 Speaker 1: This to me is a different level because if you 107 00:06:35,120 --> 00:06:41,400 Speaker 1: are asking, hey, these protesters are trespassing, they don't have 108 00:06:41,480 --> 00:06:46,720 Speaker 1: the right, They're creating difficulties on campus. We need them cleared, 109 00:06:47,480 --> 00:06:51,520 Speaker 1: and the DC police are refusing to do so. This 110 00:06:51,600 --> 00:06:57,080 Speaker 1: takes it to the next level because remember Republicans control 111 00:06:57,160 --> 00:07:02,360 Speaker 1: the House and they oversee much of the DC government. 112 00:07:03,120 --> 00:07:06,599 Speaker 1: So you already have a situation where crime is out 113 00:07:06,600 --> 00:07:09,920 Speaker 1: of control in Washington, d C. But I have not 114 00:07:10,120 --> 00:07:14,400 Speaker 1: seen reported yet the idea that a police force would 115 00:07:14,400 --> 00:07:19,480 Speaker 1: not comply with a university request. Remember Columbia, the NYPD 116 00:07:19,640 --> 00:07:22,840 Speaker 1: has come in. Now, they came back after to your point, 117 00:07:23,120 --> 00:07:25,640 Speaker 1: they arrested a bunch of these people. They brought back tense, 118 00:07:25,720 --> 00:07:28,800 Speaker 1: they created a larger encampment, But the New York Police 119 00:07:28,800 --> 00:07:34,160 Speaker 1: Department didn't refuse Columbia's requests to come in. At Emery university. 120 00:07:34,560 --> 00:07:38,120 Speaker 1: The Atlanta police and the Georgia State troopers didn't refuse 121 00:07:38,760 --> 00:07:42,880 Speaker 1: the request to come in. This is a different level. 122 00:07:43,600 --> 00:07:46,800 Speaker 1: Greg Abbott at the University of Texas Austin, the governor 123 00:07:46,840 --> 00:07:49,560 Speaker 1: of Texas, he went in and. 124 00:07:49,520 --> 00:07:50,960 Speaker 2: Got that area clear too. 125 00:07:51,040 --> 00:07:53,559 Speaker 1: We know what Ron DeSantis has done at Florida State 126 00:07:54,000 --> 00:07:56,200 Speaker 1: and at Florida with things that are going on there. 127 00:07:56,480 --> 00:08:00,400 Speaker 1: To my knowledge, we have not seen a place police 128 00:08:00,440 --> 00:08:05,080 Speaker 1: force refused to comply with the request of a university 129 00:08:05,400 --> 00:08:08,160 Speaker 1: to enforce the law and clear the area. And let 130 00:08:08,200 --> 00:08:12,080 Speaker 1: me say this, buck h guys, look this up for 131 00:08:12,120 --> 00:08:15,240 Speaker 1: me again. Because the numbers have changed. GW has one 132 00:08:15,280 --> 00:08:19,880 Speaker 1: of the largest Jewish populations of any university in the country. 133 00:08:20,720 --> 00:08:22,360 Speaker 2: A lot of my Jewish friends from New York went 134 00:08:22,400 --> 00:08:24,360 Speaker 2: to GW actually, so this has been the case for 135 00:08:24,400 --> 00:08:24,960 Speaker 2: a long time. 136 00:08:25,280 --> 00:08:27,800 Speaker 1: I was there, I had one of my roommates was Jewish. 137 00:08:27,880 --> 00:08:30,600 Speaker 1: I felt like everybody when I was there was Jewish. 138 00:08:30,680 --> 00:08:33,480 Speaker 1: I mean, we're talking about twenty thirty forty percent of. 139 00:08:33,400 --> 00:08:35,400 Speaker 2: The lot of Tennessee guys there. 140 00:08:35,400 --> 00:08:37,840 Speaker 1: Just throw that not I was like the only Tennessee 141 00:08:37,880 --> 00:08:39,920 Speaker 1: guy at all of GW. It felt like there weren't 142 00:08:40,000 --> 00:08:42,560 Speaker 1: very many Southerners period. I don't know what the enrollment 143 00:08:42,600 --> 00:08:45,920 Speaker 1: looks like twenty years later, but it is i think 144 00:08:46,040 --> 00:08:50,440 Speaker 1: emblematic of how this woke virus has spread. That we're 145 00:08:50,440 --> 00:08:55,040 Speaker 1: not talking about a university that is without a large 146 00:08:55,120 --> 00:08:59,000 Speaker 1: Jewish population. The idea that twenty years after I was there, 147 00:08:59,320 --> 00:09:03,600 Speaker 1: you could have Alistinian anti Israel protesters take over one 148 00:09:03,600 --> 00:09:08,480 Speaker 1: of the largest Jewish population universities in the country is staggering. 149 00:09:08,559 --> 00:09:10,640 Speaker 1: And the fact that the police won't won't do anything 150 00:09:10,640 --> 00:09:11,000 Speaker 1: about it. 151 00:09:11,080 --> 00:09:13,880 Speaker 2: Yeah is also every one of these schools, by the way, 152 00:09:13,920 --> 00:09:16,080 Speaker 2: has a large Jewish contingent. And when you're talking about 153 00:09:16,080 --> 00:09:18,719 Speaker 2: the IVY League in the Northeast, they all have substantial 154 00:09:18,760 --> 00:09:22,760 Speaker 2: Jewish populations. So that's I think GW may maybe even higher. 155 00:09:22,800 --> 00:09:26,240 Speaker 2: But I'm just saying they all have these large Jewish 156 00:09:26,360 --> 00:09:29,560 Speaker 2: Jewish student populations, and they have you know, helll House 157 00:09:29,600 --> 00:09:33,360 Speaker 2: and different affinity and campus groups and things to give 158 00:09:33,440 --> 00:09:36,920 Speaker 2: some sense of how many students there are on campus 159 00:09:37,000 --> 00:09:41,880 Speaker 2: who are Jewish. There's also a lot of Muslim students, 160 00:09:42,920 --> 00:09:47,560 Speaker 2: Era and other nationalities represented. But what we see, and 161 00:09:47,600 --> 00:09:49,480 Speaker 2: this reminds me of what I said in over the weekend, 162 00:09:49,559 --> 00:09:53,200 Speaker 2: is that the entire campus from the professors and the 163 00:09:53,200 --> 00:09:57,160 Speaker 2: administrators on down have embraced we we talk about a 164 00:09:57,200 --> 00:10:01,000 Speaker 2: clay in the context of wokeness, it's really anti white 165 00:10:01,120 --> 00:10:04,640 Speaker 2: and an anti whiteness is a concept that people are understanding, 166 00:10:04,720 --> 00:10:07,439 Speaker 2: seeing more clearly now than they have before. The Supreme 167 00:10:07,480 --> 00:10:12,600 Speaker 2: Court obviously saying that you can't use race in college admissions, 168 00:10:12,600 --> 00:10:14,360 Speaker 2: they're still all doing it. Can I just know they're 169 00:10:14,400 --> 00:10:17,959 Speaker 2: all defying the Supreme Court. And the schools that got 170 00:10:18,040 --> 00:10:19,760 Speaker 2: rid of the SAT to get around it are now 171 00:10:19,800 --> 00:10:22,800 Speaker 2: finding well, now we have no idea what kind of 172 00:10:22,800 --> 00:10:25,240 Speaker 2: skill level we're letting in here in terms of students 173 00:10:25,280 --> 00:10:27,600 Speaker 2: academic skill level, so they're bringing it back. I think 174 00:10:27,600 --> 00:10:29,600 Speaker 2: Columbia is actually one of them. I think Columbia got 175 00:10:29,640 --> 00:10:32,079 Speaker 2: rid of the SAT and has now bringing all. 176 00:10:31,960 --> 00:10:33,920 Speaker 1: Of the schools have brought it back in the IVY 177 00:10:33,960 --> 00:10:36,880 Speaker 1: League because they found that it was because they knew 178 00:10:37,120 --> 00:10:38,800 Speaker 1: many kids who were disasters. 179 00:10:39,200 --> 00:10:41,440 Speaker 2: Yeah. Because I mean, as people have seen famously, some 180 00:10:41,520 --> 00:10:44,040 Speaker 2: kid got into Yale and all these IVY schools just 181 00:10:44,080 --> 00:10:46,280 Speaker 2: by writing black Lives Matter one hundred times on his 182 00:10:46,360 --> 00:10:49,959 Speaker 2: application essay. That seriously happened. I mean, these are that 183 00:10:50,000 --> 00:10:52,320 Speaker 2: gives you a sense of how much these are temples 184 00:10:52,320 --> 00:10:55,599 Speaker 2: of leftist lunacy. But my pointier Clay, is the administration, 185 00:10:55,960 --> 00:11:00,280 Speaker 2: the faculty take this anti whiteness, and if you really 186 00:11:00,280 --> 00:11:03,079 Speaker 2: get into this with the left wing lexicon, the way 187 00:11:03,120 --> 00:11:07,280 Speaker 2: they approached this, they'll say that you know that whiteness, 188 00:11:07,280 --> 00:11:09,400 Speaker 2: They'll say, well, what is you know? Whiteness? And they 189 00:11:09,400 --> 00:11:12,440 Speaker 2: have all these conversations around it where it's almost a 190 00:11:12,440 --> 00:11:15,679 Speaker 2: belief system and not a skin color because there are 191 00:11:15,720 --> 00:11:19,439 Speaker 2: a lot of so you sort of subscribe to white ideology. 192 00:11:19,520 --> 00:11:23,560 Speaker 2: And this is confusing and contradictory because it is I 193 00:11:23,600 --> 00:11:26,360 Speaker 2: just want to be clear, it's not this doesn't make sense, 194 00:11:26,400 --> 00:11:28,760 Speaker 2: but just because somebody believes something doesn't mean it has 195 00:11:28,840 --> 00:11:31,600 Speaker 2: to make sense. So they have all this anti whiteness 196 00:11:31,640 --> 00:11:34,520 Speaker 2: on campus, and we need to, you know, confront white 197 00:11:34,520 --> 00:11:37,600 Speaker 2: supremacy and the history of all this stuff. And there 198 00:11:37,640 --> 00:11:40,319 Speaker 2: was just one moment there was a protester over the weekend, 199 00:11:40,520 --> 00:11:42,880 Speaker 2: where was this guys I forget? I actually I was 200 00:11:42,920 --> 00:11:44,760 Speaker 2: the one who said in this clip, Emory, is this 201 00:11:44,840 --> 00:11:46,600 Speaker 2: the guy getting I think? You know? 202 00:11:46,720 --> 00:11:51,000 Speaker 1: Well, there's multiple viral viral protesters who got arrested. One 203 00:11:51,120 --> 00:11:53,760 Speaker 1: was Emory that I saw, which was amazing, but this 204 00:11:53,800 --> 00:11:56,360 Speaker 1: may be different. This is the one where the woman says, 205 00:11:56,559 --> 00:12:01,960 Speaker 1: we don't want white people here. Oh you didn't say yeah. 206 00:12:01,720 --> 00:12:09,240 Speaker 2: This is three. This, this is three play cut three. 207 00:12:10,080 --> 00:12:16,319 Speaker 2: We don't like white people, Free Palestine. You're a white person. 208 00:12:16,960 --> 00:12:20,679 Speaker 2: We don't like white people. Get out of your white person, 209 00:12:21,200 --> 00:12:25,000 Speaker 2: Free Palestine. This is a summary of what we've been 210 00:12:25,040 --> 00:12:27,400 Speaker 2: telling you the whole time. This is why people who 211 00:12:27,480 --> 00:12:31,880 Speaker 2: know nothing about the Middle East nothing, and we could 212 00:12:31,880 --> 00:12:34,400 Speaker 2: spend a whole time. I could I spend years of 213 00:12:34,440 --> 00:12:36,959 Speaker 2: my life, over a decade of my life just steeped 214 00:12:36,960 --> 00:12:40,000 Speaker 2: in the Middle East. They know nothing, but they know 215 00:12:40,040 --> 00:12:41,880 Speaker 2: that they're supposed to not like white people. They know 216 00:12:41,920 --> 00:12:44,160 Speaker 2: they think that Israel and Jews are all white. And 217 00:12:44,160 --> 00:12:46,280 Speaker 2: that is how in case you can't see it at home, 218 00:12:46,520 --> 00:12:48,960 Speaker 2: And I'm just basing it on the skin color of 219 00:12:48,960 --> 00:12:51,760 Speaker 2: the speaker. The woman who's saying we don't like white people, 220 00:12:51,840 --> 00:12:56,520 Speaker 2: get out of here, Free Palestine is white. So this 221 00:12:56,600 --> 00:12:59,480 Speaker 2: is this sort of this brings you full circle. That's 222 00:12:59,520 --> 00:13:02,520 Speaker 2: where they things are now. You're not welcome here, white person. 223 00:13:02,960 --> 00:13:06,680 Speaker 2: According to the white person, this campus stuff is actually 224 00:13:06,800 --> 00:13:10,479 Speaker 2: much closer to BLM than people realize. It is American 225 00:13:10,600 --> 00:13:14,520 Speaker 2: race politics playing out through the prism of a Mideast 226 00:13:15,000 --> 00:13:18,040 Speaker 2: land and religious conflicts stretching back for a very long time. 227 00:13:18,640 --> 00:13:22,240 Speaker 1: Twenty eight percent of the student body at GW is Jewish. 228 00:13:23,400 --> 00:13:26,440 Speaker 2: For the percentages out there hire than I actually even 229 00:13:26,480 --> 00:13:27,360 Speaker 2: thought to be honestly, that's so. 230 00:13:27,400 --> 00:13:31,439 Speaker 1: That's twenty eight percent three thousand undergrad students, and it's 231 00:13:31,480 --> 00:13:34,840 Speaker 1: one of the largest Jewish populations out there. 232 00:13:34,920 --> 00:13:36,840 Speaker 2: It says Bu. 233 00:13:36,480 --> 00:13:42,280 Speaker 1: Nyu, Tulane and GW are the four highest private school 234 00:13:43,200 --> 00:13:47,520 Speaker 1: with GW with Jewish populations, so one of the highest 235 00:13:48,360 --> 00:13:49,320 Speaker 1: percent nationally. 236 00:13:49,400 --> 00:13:51,640 Speaker 2: So for a school to be almost thirty percent Jewish 237 00:13:51,720 --> 00:13:53,920 Speaker 2: is about fifteen x the general population. 238 00:13:54,080 --> 00:13:58,520 Speaker 1: So contemplate that in the context of what that is 239 00:13:58,760 --> 00:14:02,440 Speaker 1: like for students on campus to have. If it's thirty 240 00:14:02,480 --> 00:14:06,800 Speaker 1: percent Jewish, the campus being taken over by anti Israel 241 00:14:06,880 --> 00:14:10,920 Speaker 1: protesters is impactful at a school like GW on a 242 00:14:11,040 --> 00:14:14,120 Speaker 1: level that's different than almost anywhere else. And the police 243 00:14:14,160 --> 00:14:15,560 Speaker 1: are refusing to. 244 00:14:15,520 --> 00:14:16,240 Speaker 2: Clean it out. 245 00:14:16,280 --> 00:14:17,679 Speaker 1: I mean, if you're a Jewish, you can't even walk 246 00:14:17,720 --> 00:14:21,920 Speaker 1: through the quad without people chanting that Israel is committing genocide. 247 00:14:21,960 --> 00:14:25,160 Speaker 2: I got to tell you, I think that I understand 248 00:14:25,200 --> 00:14:28,160 Speaker 2: at some level where the cops are coming from on this, 249 00:14:28,400 --> 00:14:31,720 Speaker 2: because yeah, no they should. It's a rule of law issue. 250 00:14:31,760 --> 00:14:35,040 Speaker 2: They should deal with this. But I can understand their mentality, 251 00:14:35,080 --> 00:14:40,920 Speaker 2: which is, does anyone think that Muriel Bowser's administration in 252 00:14:41,040 --> 00:14:43,920 Speaker 2: DC is going to back the cops up if some 253 00:14:44,200 --> 00:14:46,680 Speaker 2: if some woman is caught on camera, you know, screaming 254 00:14:46,760 --> 00:14:49,440 Speaker 2: and they all flail about. It's like the cops have 255 00:14:49,440 --> 00:14:50,640 Speaker 2: been telling you they're going to do right. 256 00:14:50,920 --> 00:14:53,560 Speaker 1: I'll go even further. I think it's the mayor's office 257 00:14:53,560 --> 00:14:56,160 Speaker 1: telling the police not to do it. Well, that's that's 258 00:14:56,320 --> 00:14:59,600 Speaker 1: very I think these are related situations. What I'm saying 259 00:14:59,680 --> 00:15:02,480 Speaker 1: is if they actually cleared it out and there were 260 00:15:02,520 --> 00:15:05,480 Speaker 1: a couple of videos of protesters face planning, these commies 261 00:15:05,560 --> 00:15:08,840 Speaker 1: in the quad cops, they'll get left high and dry. 262 00:15:08,920 --> 00:15:12,400 Speaker 1: So in a sense, the mayor I kind of see 263 00:15:12,480 --> 00:15:15,240 Speaker 1: how all this plays together. It's lawlessness, but when you 264 00:15:15,240 --> 00:15:18,120 Speaker 1: see the politics behind it. But don't worry, everybody, you're 265 00:15:18,160 --> 00:15:20,480 Speaker 1: all going to be safer because they're planning to lock 266 00:15:20,520 --> 00:15:21,360 Speaker 1: Trump up for a. 267 00:15:21,560 --> 00:15:24,920 Speaker 2: Business business records that it never actually went public. They're 268 00:15:24,920 --> 00:15:27,240 Speaker 2: all about that law and order, which is pretty amazing, 269 00:15:27,280 --> 00:15:29,480 Speaker 2: is it? We'll dive into this some more. It's crazy 270 00:15:29,480 --> 00:15:31,960 Speaker 2: what's going on out there, you know. With Mother's Day 271 00:15:32,000 --> 00:15:34,360 Speaker 2: just a couple of weeks away. Let me highlight an 272 00:15:34,440 --> 00:15:37,920 Speaker 2: organization that cares deeply for moms and wants there to 273 00:15:37,920 --> 00:15:41,440 Speaker 2: be more and more moms out there. Preborn. 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Slash b 295 00:16:51,520 --> 00:16:54,040 Speaker 2: u c K sponsored by Preborn. 296 00:16:55,120 --> 00:16:58,640 Speaker 3: Stay on top of election use with twenty four from 297 00:16:58,720 --> 00:17:01,560 Speaker 3: Clay and Buck, a week Glee podcast you can find 298 00:17:01,640 --> 00:17:05,480 Speaker 3: on the free iHeartRadio app or wherever you get your podcasts. 299 00:17:06,160 --> 00:17:08,359 Speaker 2: Welcome back in Clay and Buck here eight hundred two 300 00:17:08,440 --> 00:17:11,239 Speaker 2: eight two eight a two. On those phone lines, we're 301 00:17:11,280 --> 00:17:14,239 Speaker 2: talking about these crazy protests and what is going on 302 00:17:14,320 --> 00:17:18,440 Speaker 2: with them. We've also got a short, a brief pause 303 00:17:18,560 --> 00:17:22,080 Speaker 2: here in the madness in New York City pertaining to 304 00:17:22,119 --> 00:17:25,240 Speaker 2: Trump's trial, which is still going on. I don't know 305 00:17:25,240 --> 00:17:28,720 Speaker 2: if you saw Clay. There was a NYU professor who's 306 00:17:28,760 --> 00:17:32,560 Speaker 2: a former assistant district attorney in New York. We're in 307 00:17:32,600 --> 00:17:36,280 Speaker 2: not bad today about how important the New York trial is, 308 00:17:36,760 --> 00:17:39,359 Speaker 2: and it's just it's laughable. It's it's you look at 309 00:17:39,359 --> 00:17:41,840 Speaker 2: people you're like, this is this is a litmus test. 310 00:17:42,520 --> 00:17:44,960 Speaker 2: You are a fraud or an imbecile if you say 311 00:17:45,000 --> 00:17:47,119 Speaker 2: that what's going on in New York City as a 312 00:17:47,160 --> 00:17:51,120 Speaker 2: function of law and justice as anything other than an 313 00:17:51,160 --> 00:17:55,560 Speaker 2: abject just law fair campaign. And we'll dive back into 314 00:17:55,600 --> 00:17:57,399 Speaker 2: these protests here in a second and tell us what 315 00:17:57,440 --> 00:17:58,880 Speaker 2: you think. If you've seen any of this stuff going 316 00:17:58,880 --> 00:18:00,840 Speaker 2: on in your town, we want to know about. You know, 317 00:18:00,880 --> 00:18:04,119 Speaker 2: crime rates are going up, especially in democrat controlled cities, 318 00:18:04,119 --> 00:18:07,400 Speaker 2: which unfortunately is most major cities. So if you've got 319 00:18:07,440 --> 00:18:09,359 Speaker 2: valuables in your home, you can't just stuff them in 320 00:18:09,440 --> 00:18:11,520 Speaker 2: the soft drawer, put them in the back of the closet. 321 00:18:12,080 --> 00:18:16,560 Speaker 2: There's really sophisticated burglary rings out there and they know 322 00:18:16,640 --> 00:18:19,159 Speaker 2: how to get at your valuable Sometimes it's even an 323 00:18:19,160 --> 00:18:22,360 Speaker 2: inside job. So what can you do, Well, lock up 324 00:18:22,359 --> 00:18:25,680 Speaker 2: your stuff with a Liberty safe. Liberty Safe is what 325 00:18:25,720 --> 00:18:27,720 Speaker 2: I've got in my home, and right now they're giving 326 00:18:27,720 --> 00:18:29,600 Speaker 2: away one of their top of the line gun safes, 327 00:18:30,000 --> 00:18:33,119 Speaker 2: the presidential fifty worth almost ten thousand dollars. Editor went 328 00:18:33,160 --> 00:18:38,920 Speaker 2: online at libertysafe dot com slash radio. That's libertysafe dot com, 329 00:18:38,960 --> 00:18:43,040 Speaker 2: slash radio for a customized Fortress Strong Liberty Safe. Make 330 00:18:43,080 --> 00:18:45,119 Speaker 2: sure you use coupon Code Radio, by the way, for 331 00:18:45,200 --> 00:18:48,000 Speaker 2: a ten percent discount. You also get a sixty dollars 332 00:18:48,080 --> 00:18:50,919 Speaker 2: value gun vault with your Liberty Safe purchase. So go 333 00:18:51,000 --> 00:18:54,200 Speaker 2: to Libertysafe dot com slash radio and use that coupon 334 00:18:54,320 --> 00:18:56,680 Speaker 2: Code Radio for ten percent off. 335 00:18:56,880 --> 00:19:00,359 Speaker 1: Welcome back in Clay Travis buck Sexton Show. Okay, I 336 00:19:00,400 --> 00:19:05,440 Speaker 1: mentioned this off the top of the program. CNN has 337 00:19:05,560 --> 00:19:09,800 Speaker 1: Trump up six forty nine, forty three up nine with 338 00:19:10,000 --> 00:19:14,120 Speaker 1: multi candidate poll. That's Jill Stein RFK Junior. We'll see 339 00:19:14,119 --> 00:19:17,679 Speaker 1: how many of those people end up on different ballots. Also, 340 00:19:18,080 --> 00:19:23,520 Speaker 1: CBS had a poll with Trump up in Pennsylvania and Wisconsin, 341 00:19:24,160 --> 00:19:29,480 Speaker 1: down a small amount in Michigan. Okay, do you were 342 00:19:29,480 --> 00:19:33,240 Speaker 1: now basically to May Wednesday? We're going to enter into May. 343 00:19:33,880 --> 00:19:37,360 Speaker 1: The idea Biden has been spending money like crazy. They said, Oh, 344 00:19:37,400 --> 00:19:39,440 Speaker 1: he was amazing in the State of the Union. He 345 00:19:39,520 --> 00:19:41,760 Speaker 1: got a bounce. That does not seem to be the case. 346 00:19:42,200 --> 00:19:45,439 Speaker 1: Trump is presently on trial in New York City. It 347 00:19:45,520 --> 00:19:48,960 Speaker 1: seems quite clear that that New York City case is 348 00:19:49,040 --> 00:19:53,200 Speaker 1: not moving the needle substantially so far. In any kind 349 00:19:53,240 --> 00:19:58,960 Speaker 1: of direction. Trump up six, up nine, multi candidate up 350 00:19:59,000 --> 00:20:04,480 Speaker 1: in two of the three Midwest Big ten battleground states Michigan, Pennsylvania, Wisconsin. 351 00:20:05,480 --> 00:20:07,000 Speaker 2: Do you buy it? Buck? 352 00:20:07,640 --> 00:20:10,159 Speaker 1: Do you think that right now this is the biggest 353 00:20:10,240 --> 00:20:13,960 Speaker 1: lead Trump has ever had in the CNN poll? He's 354 00:20:14,040 --> 00:20:17,040 Speaker 1: benefiting according to the CNN poll, with everybody of the 355 00:20:17,080 --> 00:20:21,159 Speaker 1: opinion that Bidenomics is a disaster, but also that people 356 00:20:21,280 --> 00:20:26,359 Speaker 1: are remembering the Trump era more fondly. There's a nostalgia 357 00:20:26,880 --> 00:20:30,359 Speaker 1: aspect that seems to be benefiting Trump, notwithstanding what happened 358 00:20:30,400 --> 00:20:30,920 Speaker 1: with COVID. 359 00:20:31,160 --> 00:20:33,480 Speaker 2: Do you buy it? Do you think Trump's up nationwide 360 00:20:33,560 --> 00:20:38,160 Speaker 2: right now? All the numbers, even when you contextualize them, 361 00:20:38,680 --> 00:20:42,840 Speaker 2: when you cross reference them, Yes, everything points in the 362 00:20:42,920 --> 00:20:46,920 Speaker 2: direction of Trump is out ahead. We understand that we're 363 00:20:46,920 --> 00:20:50,480 Speaker 2: only a few laps into a much longer race here 364 00:20:50,520 --> 00:20:53,800 Speaker 2: with this election cycle, but we're discussing where we are 365 00:20:53,960 --> 00:20:57,440 Speaker 2: right now. A lot of things can change. Biden as 366 00:20:57,480 --> 00:21:02,119 Speaker 2: the least popular president in seventy years. You might have 367 00:21:02,119 --> 00:21:04,320 Speaker 2: seen that one over the weekend too. He is less 368 00:21:04,359 --> 00:21:08,240 Speaker 2: popular at this point in his presidency than Nixon or 369 00:21:08,320 --> 00:21:12,200 Speaker 2: Carter were. So that's in a new poll that came 370 00:21:12,240 --> 00:21:15,400 Speaker 2: out over the weekend. So when you're talking about if 371 00:21:15,440 --> 00:21:16,800 Speaker 2: you can get a poll to say you're the worst, 372 00:21:16,880 --> 00:21:19,080 Speaker 2: let me mention Matt too. By the way, that's gallup. 373 00:21:19,160 --> 00:21:22,600 Speaker 1: They've been doing this poll for everybody all the way 374 00:21:22,600 --> 00:21:24,720 Speaker 1: back you said, seventy years. So this is not some 375 00:21:25,000 --> 00:21:27,320 Speaker 1: random like we're pulling this out of thin air. They've 376 00:21:27,320 --> 00:21:30,480 Speaker 1: been doing this pole for seventy years, and no one's 377 00:21:30,520 --> 00:21:31,639 Speaker 1: ever done worse than Biden. 378 00:21:31,880 --> 00:21:34,199 Speaker 2: And I would sit here and just point out what 379 00:21:34,560 --> 00:21:40,639 Speaker 2: exactly is the what is the calling card of the 380 00:21:40,680 --> 00:21:44,119 Speaker 2: Biden administration at this point? What is the Biden administration 381 00:21:44,440 --> 00:21:47,520 Speaker 2: other than I'm not Trump. Trump is Hitler and of democracy. 382 00:21:47,680 --> 00:21:50,800 Speaker 2: We know all of that stuff, and unfortunately that's worked 383 00:21:50,800 --> 00:21:53,040 Speaker 2: for them up to this point. But maybe they are 384 00:21:53,080 --> 00:21:55,400 Speaker 2: starting to run out of steam on that, at least 385 00:21:55,440 --> 00:21:59,320 Speaker 2: as it pertains to swing voters, swing state voters, independence 386 00:21:59,760 --> 00:22:04,120 Speaker 2: more right leaning Democrats. People have just started to realize 387 00:22:04,359 --> 00:22:07,679 Speaker 2: what has Biden done for us? All the stuff about unemployment, 388 00:22:07,720 --> 00:22:10,160 Speaker 2: all the things that they try to point to as 389 00:22:10,280 --> 00:22:12,360 Speaker 2: I mean GDP. The GDP numbers that came out were 390 00:22:12,400 --> 00:22:16,080 Speaker 2: just really bad, by the way, which is a very 391 00:22:16,119 --> 00:22:19,640 Speaker 2: negative indicator. They have not tamed inflation, which is why 392 00:22:19,720 --> 00:22:23,320 Speaker 2: rates are still very high, which creates all kinds of 393 00:22:23,560 --> 00:22:26,960 Speaker 2: challenges in the real estate market and in investing and 394 00:22:27,040 --> 00:22:29,439 Speaker 2: for all of us. Right it's it's a drag on 395 00:22:29,520 --> 00:22:32,639 Speaker 2: the stock market, it's a drag on future economic growth 396 00:22:32,680 --> 00:22:36,000 Speaker 2: and just overall prosperity. There is nothing that Biden can 397 00:22:36,040 --> 00:22:38,960 Speaker 2: point because Biden is a jackass and always has been. 398 00:22:39,520 --> 00:22:42,560 Speaker 2: None of this is surprising. Democrats knew that Biden was 399 00:22:42,600 --> 00:22:45,000 Speaker 2: a joke until he was their only option, and they 400 00:22:45,080 --> 00:22:47,560 Speaker 2: dusted them off in twenty twenty and they're like, see, 401 00:22:47,800 --> 00:22:50,440 Speaker 2: during a pandemic, we can make anybody president. Well, just 402 00:22:50,480 --> 00:22:53,400 Speaker 2: because you can doesn't mean you should. And I think 403 00:22:53,400 --> 00:22:56,680 Speaker 2: they're finding out the should part of it. So that's 404 00:22:56,720 --> 00:22:59,920 Speaker 2: on the Biden pulling side of it. Also, some new 405 00:23:00,200 --> 00:23:05,520 Speaker 2: polling out about Trump VP candidates. You are still on 406 00:23:05,600 --> 00:23:08,480 Speaker 2: the in the Tim Scott camp, I am still thinking 407 00:23:08,520 --> 00:23:10,720 Speaker 2: it will be. And when I say in camp, he 408 00:23:10,800 --> 00:23:14,639 Speaker 2: still thinks that Tim Scott's the likeliest, and the betting 409 00:23:14,680 --> 00:23:18,159 Speaker 2: markets I know reflect that I think jd Vance is 410 00:23:18,280 --> 00:23:20,119 Speaker 2: very likely. And actually I'm starting to think more and 411 00:23:20,119 --> 00:23:23,120 Speaker 2: more Marshall Blackburn could get into the mixture. Higher. I'm 412 00:23:23,160 --> 00:23:24,359 Speaker 2: just I'm just saying. I know. 413 00:23:25,119 --> 00:23:28,000 Speaker 1: There's a big piece on jd Vance on the front 414 00:23:28,000 --> 00:23:30,960 Speaker 1: page of the Sunday New York Times that said that 415 00:23:31,040 --> 00:23:33,600 Speaker 1: he is a legit VP pick, which is your guy? 416 00:23:33,680 --> 00:23:35,919 Speaker 2: As you said, saying it all along list makes a lot 417 00:23:35,960 --> 00:23:39,720 Speaker 2: of sense. He appeals to those you know, russ Belt 418 00:23:39,760 --> 00:23:42,879 Speaker 2: and Midwest voters, and Trump likes him, and Trump wants 419 00:23:42,880 --> 00:23:45,240 Speaker 2: somebody that he likes to hang out with. As I 420 00:23:45,320 --> 00:23:48,679 Speaker 2: understand it, he likes to be around, doesn't want somebody 421 00:23:48,680 --> 00:23:51,200 Speaker 2: who feels like he's the dean in the high school. 422 00:23:51,200 --> 00:23:54,200 Speaker 2: Which my understanding is how even before things went awry 423 00:23:54,280 --> 00:23:56,320 Speaker 2: with Pence, there was a little bit of that feeling 424 00:23:56,359 --> 00:23:59,200 Speaker 2: going on. One person though, who's had a tough VP 425 00:23:59,400 --> 00:24:03,800 Speaker 2: go is Christino. Now, I actually did not mean to 426 00:24:03,840 --> 00:24:05,879 Speaker 2: start out the show with For those who watch on 427 00:24:05,920 --> 00:24:08,639 Speaker 2: claybluck dot com VIPs, you can see with Ginger on 428 00:24:08,680 --> 00:24:10,719 Speaker 2: my lap, she was just being a little bit of 429 00:24:10,760 --> 00:24:13,320 Speaker 2: a She can be a little bit of a princess sometimes. 430 00:24:14,480 --> 00:24:18,720 Speaker 2: I love dogs. I always have. I've loved them since 431 00:24:18,720 --> 00:24:22,480 Speaker 2: I was a little kid. I find them incredibly important 432 00:24:22,560 --> 00:24:26,080 Speaker 2: and amazing, and one of my favorite things in life 433 00:24:26,200 --> 00:24:27,960 Speaker 2: is dogs to be honest with you, So I don't 434 00:24:27,960 --> 00:24:29,719 Speaker 2: want to. I want to let you. I'm gonna let 435 00:24:29,720 --> 00:24:34,080 Speaker 2: you go first. Just soever knows the story. Christinaoam wrote 436 00:24:34,080 --> 00:24:37,040 Speaker 2: a book. The book is out, and in the book, 437 00:24:37,119 --> 00:24:41,000 Speaker 2: she describes taking a dog hunting. I forget the breed 438 00:24:41,000 --> 00:24:43,600 Speaker 2: of the dog. She says she is frustrated with the 439 00:24:43,640 --> 00:24:46,480 Speaker 2: dog because he wasn't doing good job, and that she 440 00:24:46,560 --> 00:24:49,280 Speaker 2: quote hated the dog. And then when it when she 441 00:24:49,359 --> 00:24:52,040 Speaker 2: brought it home, it attacked the neighbor's chickens. Now, this 442 00:24:52,080 --> 00:24:55,160 Speaker 2: is a bird dog, which is meant to go after birds. 443 00:24:55,160 --> 00:24:57,520 Speaker 2: So it attacked the neighbors chickens. And she got fed 444 00:24:57,600 --> 00:24:59,320 Speaker 2: up and she took it to a gravel pit and 445 00:24:59,359 --> 00:25:03,439 Speaker 2: she shot her her eighteen month old dog, and killed it. 446 00:25:04,400 --> 00:25:06,560 Speaker 2: I'm gonna play you go first, because I'm I'm we're 447 00:25:06,560 --> 00:25:08,520 Speaker 2: not allowed to curse on radio, right, you go ahead. 448 00:25:09,560 --> 00:25:13,840 Speaker 1: I just look at it as a if you write, 449 00:25:13,880 --> 00:25:18,080 Speaker 1: if you really want to be a president or vice president, 450 00:25:19,040 --> 00:25:24,399 Speaker 1: and you write in your autobiography in sort of a 451 00:25:24,520 --> 00:25:29,479 Speaker 1: braggadocious way about how tough you are that you shot 452 00:25:29,520 --> 00:25:34,640 Speaker 1: a dog, I don't think at all it makes you 453 00:25:34,680 --> 00:25:39,080 Speaker 1: more likable, and we were just referencing the political the 454 00:25:39,080 --> 00:25:45,000 Speaker 1: political mischieving design alone alone should be disqualifying. That's and 455 00:25:45,000 --> 00:25:46,520 Speaker 1: that's where I was going to focus to start with, 456 00:25:46,680 --> 00:25:51,440 Speaker 1: is just how do you think that this improves your likability, 457 00:25:51,560 --> 00:25:54,639 Speaker 1: which we've talked a lot about with Trump's VP. You 458 00:25:54,720 --> 00:25:58,000 Speaker 1: mentioned Tim Scott is the favorite right now on poly market. 459 00:25:58,040 --> 00:26:00,240 Speaker 1: Tim Scott is the favorite. I think he's going to 460 00:26:00,320 --> 00:26:04,240 Speaker 1: be the pick elist. Stephonic is in second place. Jade 461 00:26:04,400 --> 00:26:07,840 Speaker 1: Vance tied in third with Nicki Haley. Interestingly enough, we 462 00:26:07,840 --> 00:26:10,920 Speaker 1: haven't heard a lot about Nicki Haley recently. Ben Carson, 463 00:26:11,080 --> 00:26:15,800 Speaker 1: Marco Rubio DeSantis at four percent way down the list, 464 00:26:15,800 --> 00:26:18,439 Speaker 1: but we need to talk about DeSantis and Trump meeting 465 00:26:18,480 --> 00:26:22,760 Speaker 1: in Miami. That's kind of for several hours, is the report. 466 00:26:22,800 --> 00:26:26,159 Speaker 1: At some point during the show, Christine Oam was the 467 00:26:26,280 --> 00:26:31,160 Speaker 1: favorite for a long time. She now is like eight 468 00:26:31,280 --> 00:26:34,880 Speaker 1: or nine on the list, and she basically I think 469 00:26:35,000 --> 00:26:40,399 Speaker 1: has eliminated herself from vice presidential contention with this story. 470 00:26:40,520 --> 00:26:43,920 Speaker 1: I'm talking purely politics. Now, you've got the dog on 471 00:26:44,000 --> 00:26:48,000 Speaker 1: your lap right now. You are a mega dog lover, 472 00:26:48,320 --> 00:26:51,800 Speaker 1: as a huge percentage of this audience is when you 473 00:26:51,880 --> 00:26:53,960 Speaker 1: hear that she shot a dog. 474 00:26:54,160 --> 00:26:55,600 Speaker 2: Is it just an end for you? 475 00:26:55,640 --> 00:26:57,600 Speaker 1: Like you wouldn't vote for her for anything at this 476 00:26:57,680 --> 00:27:01,960 Speaker 1: point when she's bragging about having done this, I disqualifying. 477 00:27:01,800 --> 00:27:07,320 Speaker 2: Absolutely disqualifying and for me, borderline psychopathic, absolutely unacceptable. And 478 00:27:07,440 --> 00:27:11,040 Speaker 2: I mean I understand people say, well, like if you 479 00:27:11,080 --> 00:27:13,040 Speaker 2: know what about pigs on a farm, you eat them 480 00:27:13,080 --> 00:27:15,880 Speaker 2: and everything else. You develop a bond and you are 481 00:27:15,920 --> 00:27:18,240 Speaker 2: responsible for a dog and it has a role in 482 00:27:18,280 --> 00:27:20,760 Speaker 2: your life. And if the dog is I actually I 483 00:27:21,240 --> 00:27:24,320 Speaker 2: have a good friend who's a just a loves to 484 00:27:24,359 --> 00:27:26,560 Speaker 2: go duck hunting and pheasant hunting all the time. He 485 00:27:26,560 --> 00:27:29,040 Speaker 2: had the same problem. This happened a couple of years ago, 486 00:27:29,119 --> 00:27:31,680 Speaker 2: the same problem dog just the dog just won't hunt, right, 487 00:27:31,680 --> 00:27:33,840 Speaker 2: I mean that's a phrase people use, that dog won't hunt. 488 00:27:33,920 --> 00:27:35,960 Speaker 2: He had a dog that wouldn't hunt and was a 489 00:27:36,000 --> 00:27:38,040 Speaker 2: behavior problem. It could happen. You know what he did 490 00:27:38,040 --> 00:27:39,439 Speaker 2: with the dog. He didn't take it to a gravel 491 00:27:39,440 --> 00:27:42,960 Speaker 2: pit and execute it. He found a single mom who 492 00:27:43,000 --> 00:27:45,440 Speaker 2: he knew was a friend of his, whose little boy 493 00:27:45,520 --> 00:27:48,040 Speaker 2: had always wanted a dog, and gave him the dog. 494 00:27:48,119 --> 00:27:50,160 Speaker 2: And they loved the dog and now it's their family dog. 495 00:27:51,520 --> 00:27:54,159 Speaker 2: Like to go shoot the dog because you're angry. I 496 00:27:54,480 --> 00:27:57,320 Speaker 2: don't know. Am I missing something? If somebody, if I 497 00:27:57,359 --> 00:28:00,280 Speaker 2: saw somebody, they said, oh yeah, you know, sorry, I'm sorry, 498 00:28:00,280 --> 00:28:02,679 Speaker 2: I'm late to dinner. But like my labrador was acting up, 499 00:28:02,680 --> 00:28:04,640 Speaker 2: so I took him out back with a forty five 500 00:28:04,680 --> 00:28:06,159 Speaker 2: and shot him in the head. I'd be like, I 501 00:28:06,160 --> 00:28:08,640 Speaker 2: don't want to be anywhere near you. You're a psycho? 502 00:28:09,200 --> 00:28:12,399 Speaker 2: Am I missing something? Maybe I'm missing something. And the 503 00:28:12,440 --> 00:28:14,600 Speaker 2: notion that she's doubling down on this, I mean, you know, 504 00:28:14,760 --> 00:28:17,480 Speaker 2: some people might have noticed character flaws in this individual 505 00:28:17,520 --> 00:28:19,520 Speaker 2: a long time ago, but I think now more people 506 00:28:19,560 --> 00:28:20,120 Speaker 2: are noticing. 507 00:28:20,640 --> 00:28:23,560 Speaker 1: So I'll read when she posted something, I went and 508 00:28:23,640 --> 00:28:26,200 Speaker 1: I just read the comments, and by the way, we'll 509 00:28:26,240 --> 00:28:27,119 Speaker 1: open up phone lines. 510 00:28:27,200 --> 00:28:29,399 Speaker 2: I mean, just Trump really want to have a puppy 511 00:28:29,480 --> 00:28:31,760 Speaker 2: killer as his VP. I just that's what they're going 512 00:28:31,800 --> 00:28:33,880 Speaker 2: to say. And you can say on the right, oh, 513 00:28:34,000 --> 00:28:36,639 Speaker 2: like rural America is gonna say that this is different, 514 00:28:36,680 --> 00:28:38,640 Speaker 2: because first of all, I don't even think that at all. 515 00:28:38,960 --> 00:28:40,560 Speaker 2: I don't think that's true at all. No, but that's 516 00:28:40,560 --> 00:28:44,040 Speaker 2: what she's saying. She's saying, I'm talking about what she's saying. Yes, 517 00:28:44,040 --> 00:28:46,719 Speaker 2: I saw her tweets, really difficult decisions are made at 518 00:28:46,720 --> 00:28:50,800 Speaker 2: a farm. I know farmers, I know hunters. I have 519 00:28:51,080 --> 00:28:54,040 Speaker 2: never met a person who executed a fourteen month old 520 00:28:54,080 --> 00:28:56,680 Speaker 2: dog because it wasn't good enough at hunting and went 521 00:28:56,720 --> 00:29:00,480 Speaker 2: and killed the chicken. Chickens are for food. Didn't it 522 00:29:00,480 --> 00:29:03,440 Speaker 2: wasn't It wasn't a danger to people. And even if anyway, 523 00:29:03,800 --> 00:29:06,400 Speaker 2: I don't know, I'm sitting here, let me know if 524 00:29:06,440 --> 00:29:08,280 Speaker 2: I'm wrong, someone let me know. Eight hundred and two 525 00:29:08,360 --> 00:29:10,720 Speaker 2: A two two eight A two. It was a fourteen 526 00:29:10,960 --> 00:29:14,240 Speaker 2: month old wire haired pointer. And not only did she 527 00:29:14,280 --> 00:29:17,520 Speaker 2: write about this in her book, which was edited, and 528 00:29:17,560 --> 00:29:20,120 Speaker 2: she thought about it wasn't like a radio interview. Now 529 00:29:20,160 --> 00:29:23,320 Speaker 2: she's saying, I think that this show is basically what 530 00:29:23,480 --> 00:29:26,760 Speaker 2: kind of tough decision making I do? Really, you know, 531 00:29:27,160 --> 00:29:29,360 Speaker 2: you go like like cats on fire too, to show 532 00:29:29,400 --> 00:29:31,560 Speaker 2: everybody what a strong stomach you have. Like, I think 533 00:29:31,560 --> 00:29:35,640 Speaker 2: it's completely disgraceful and outrageous. And I tried to preface 534 00:29:35,640 --> 00:29:38,320 Speaker 2: this before and maybe maybe I'm you know, a little 535 00:29:38,320 --> 00:29:40,760 Speaker 2: too fired up about it because I love dogs. Okay, fine, 536 00:29:40,800 --> 00:29:44,320 Speaker 2: but I don't think I'm alone the comments. Here's what 537 00:29:44,400 --> 00:29:45,000 Speaker 2: she tweeted. 538 00:29:45,800 --> 00:29:49,200 Speaker 1: I can understand why some people are upset about a 539 00:29:49,240 --> 00:29:52,040 Speaker 1: twenty year old story of Cricket, one of the working 540 00:29:52,120 --> 00:29:55,640 Speaker 1: dogs at our ranch. In my upcoming book, What I 541 00:29:55,720 --> 00:30:00,000 Speaker 1: Learned for my years as a public service, the fact 542 00:30:00,240 --> 00:30:03,400 Speaker 1: is South Dakota law states dogs who attack and kill 543 00:30:03,440 --> 00:30:06,880 Speaker 1: livestock can be put down. Given that Cricket had shown 544 00:30:06,920 --> 00:30:11,160 Speaker 1: aggressive behavior toward people by biting them, I decided what 545 00:30:11,440 --> 00:30:14,360 Speaker 1: I did. And then she says she doesn't pass the 546 00:30:14,360 --> 00:30:17,400 Speaker 1: buck to anybody else. Basically, so, I just when you 547 00:30:17,400 --> 00:30:21,320 Speaker 1: write an autobiography, and I've written four books, you're writing 548 00:30:21,320 --> 00:30:24,280 Speaker 1: a book right now. There are lots of things that 549 00:30:24,320 --> 00:30:26,120 Speaker 1: you put in. There are lots of things that you 550 00:30:26,240 --> 00:30:29,960 Speaker 1: take out. If I'm a presidential candidate or a vice 551 00:30:30,040 --> 00:30:34,880 Speaker 1: presidential candidate, I don't want my story to be I 552 00:30:35,040 --> 00:30:39,280 Speaker 1: shot Old Yeller, you know, Like the saddest book I've 553 00:30:39,280 --> 00:30:42,840 Speaker 1: ever read in my life is Where the Red Fern Grows, 554 00:30:42,920 --> 00:30:45,480 Speaker 1: which ends with dogs dying. 555 00:30:46,360 --> 00:30:49,080 Speaker 2: If I watched Old Yeller today, and I understand that 556 00:30:49,080 --> 00:30:52,480 Speaker 2: there's also this kind of trad right, you know, traditional 557 00:30:52,560 --> 00:30:54,840 Speaker 2: right argument of like it's just animals, they're not people, 558 00:30:54,880 --> 00:30:57,120 Speaker 2: and people are trying to make this about like our 559 00:30:57,160 --> 00:31:01,320 Speaker 2: respect or lack of respectful life, where I'm as pro 560 00:31:01,440 --> 00:31:03,360 Speaker 2: life as anybody that has nothing to do with don't 561 00:31:03,360 --> 00:31:06,320 Speaker 2: go murder dogs. Like what. People are conflating issues and 562 00:31:06,360 --> 00:31:07,400 Speaker 2: they're doing all kinds of. 563 00:31:07,360 --> 00:31:09,680 Speaker 1: Well, even if you did it, okay, even if you 564 00:31:09,760 --> 00:31:12,240 Speaker 1: did it, I don't think it would be something where 565 00:31:12,320 --> 00:31:14,920 Speaker 1: you would say, I mean, it seems to me that 566 00:31:14,960 --> 00:31:17,920 Speaker 1: she is saying this story is important because it says 567 00:31:17,960 --> 00:31:20,720 Speaker 1: something about me. It says that I'm tough and I'm 568 00:31:20,760 --> 00:31:24,080 Speaker 1: willing to make hard choices. Again to your to your 569 00:31:24,120 --> 00:31:26,719 Speaker 1: point to me, this is they say, we just had 570 00:31:26,760 --> 00:31:29,240 Speaker 1: the NFL Draft, and I know a lot of guys 571 00:31:29,280 --> 00:31:32,200 Speaker 1: in the NFL, and we talk about, for instance, drug 572 00:31:32,240 --> 00:31:35,720 Speaker 1: testing and they say, you know, drug testing for us 573 00:31:36,240 --> 00:31:40,040 Speaker 1: is just a question of intelligence. You can smoke weed. 574 00:31:39,960 --> 00:31:41,880 Speaker 2: Back in the day. Are you smart enough to pass 575 00:31:41,920 --> 00:31:43,200 Speaker 2: a drug to the dog? No? 576 00:31:43,240 --> 00:31:46,440 Speaker 1: I mean to me, it's a it's an intelligence test 577 00:31:46,480 --> 00:31:50,840 Speaker 1: for a politician. If you can't that, you would. 578 00:31:50,720 --> 00:31:56,520 Speaker 2: Put on the political malpractice totally on the politics side wound. Yeah, yeah, 579 00:31:56,600 --> 00:32:00,760 Speaker 2: like the failing a drug test, is you not smart 580 00:32:00,880 --> 00:32:03,000 Speaker 2: enough to make the right choice? And I don't want 581 00:32:03,040 --> 00:32:05,560 Speaker 2: to trust you if you put this in your book. 582 00:32:05,960 --> 00:32:08,440 Speaker 2: To me, it's a you can't be trusted on the 583 00:32:08,520 --> 00:32:12,960 Speaker 2: national stage to know what moves people. Yeah, of course, 584 00:32:13,320 --> 00:32:15,120 Speaker 2: of course that's that's. 585 00:32:14,920 --> 00:32:16,920 Speaker 1: To me, Like why this is a political I mean 586 00:32:16,920 --> 00:32:18,680 Speaker 1: to me, I'm not even trying to get into the 587 00:32:18,680 --> 00:32:21,600 Speaker 1: morality of shooting dogs like it's it's a but the 588 00:32:21,600 --> 00:32:24,120 Speaker 1: fact that you would see this and think this is 589 00:32:24,160 --> 00:32:28,560 Speaker 1: a story which tells people why I should be trusted 590 00:32:28,960 --> 00:32:31,040 Speaker 1: to make hard decisions in politics. 591 00:32:31,160 --> 00:32:32,200 Speaker 2: I think most people. 592 00:32:31,960 --> 00:32:36,880 Speaker 1: Say, well, don't shoot a dog like flu For the 593 00:32:36,880 --> 00:32:39,480 Speaker 1: people out there who have dogs, I mean, it was 594 00:32:39,480 --> 00:32:39,960 Speaker 1: a fourteen. 595 00:32:40,000 --> 00:32:41,840 Speaker 2: First of all, it's a baby. It's like a little 596 00:32:41,880 --> 00:32:43,640 Speaker 2: you know, I just want to know, like a puppy. 597 00:32:43,680 --> 00:32:46,640 Speaker 2: If it's a puppy, okay, it's it's equivalent of a 598 00:32:46,680 --> 00:32:49,440 Speaker 2: dog baby. So if I had a Golden Retriever puppy 599 00:32:49,480 --> 00:32:51,560 Speaker 2: that was you know, six or seven months old, and 600 00:32:51,600 --> 00:32:53,400 Speaker 2: it you know, just pete in the house too many times? 601 00:32:53,400 --> 00:32:55,080 Speaker 2: Do I take my twelve gage out back? And does 602 00:32:55,080 --> 00:32:57,840 Speaker 2: that make me a normal person? Would anyone want to 603 00:32:57,840 --> 00:32:58,880 Speaker 2: hang out with me if I did that? 604 00:32:58,920 --> 00:33:01,640 Speaker 1: If any oh you did it. 605 00:33:01,760 --> 00:33:05,360 Speaker 2: By the opening argument, you saved Ginger. If we drove 606 00:33:05,440 --> 00:33:08,360 Speaker 2: off a cliff into a river. Okay, I don't. I don't. 607 00:33:08,440 --> 00:33:12,320 Speaker 2: I do not understand how anybody it's it's my my thing. 608 00:33:12,400 --> 00:33:14,600 Speaker 1: Is just even if you did it, would it be 609 00:33:14,680 --> 00:33:17,320 Speaker 1: your opening argument on why you should be trusted to 610 00:33:17,400 --> 00:33:18,080 Speaker 1: lead America? 611 00:33:18,800 --> 00:33:21,600 Speaker 2: Like I'm willing to kill all we need to. Let's 612 00:33:21,600 --> 00:33:23,600 Speaker 2: open the lines on this because I'm on. I don't 613 00:33:23,600 --> 00:33:26,160 Speaker 2: know how. I don't know how anyone can see this 614 00:33:26,200 --> 00:33:27,880 Speaker 2: any other way, but I know you got to read here. 615 00:33:28,840 --> 00:33:31,320 Speaker 1: Yeah, sorry, I'm still fine, Like, I just I it's 616 00:33:31,440 --> 00:33:35,440 Speaker 1: it to me is political malpractice? Leaving aside the fact 617 00:33:35,440 --> 00:33:39,840 Speaker 1: that it is obviously strikes so many different people as awful. 618 00:33:39,880 --> 00:33:42,560 Speaker 1: I'm just, I just it feels like political malpractice to me, Like, 619 00:33:42,600 --> 00:33:43,640 Speaker 1: how do you screw this up? 620 00:33:43,680 --> 00:33:44,480 Speaker 2: I don't understand. 621 00:33:45,040 --> 00:33:48,440 Speaker 1: But I can also tell you. You want to be 622 00:33:48,480 --> 00:33:51,000 Speaker 1: able to preserve your family memories. I was out over 623 00:33:51,040 --> 00:33:53,680 Speaker 1: the weekend, actually, and I was talking with somebody, uh 624 00:33:53,840 --> 00:33:56,280 Speaker 1: at a at an event, and UH and she was 625 00:33:56,320 --> 00:33:59,720 Speaker 1: talking about how she had so many old memories of 626 00:33:59,760 --> 00:34:02,600 Speaker 1: her self playing basketball back in the day she was 627 00:34:02,680 --> 00:34:05,080 Speaker 1: college basketball player. She said, you know what, A bunch 628 00:34:05,120 --> 00:34:08,359 Speaker 1: of those games are now on VHS tapes. And she said, 629 00:34:08,840 --> 00:34:10,879 Speaker 1: I listened to your show and I heard you talking 630 00:34:10,920 --> 00:34:13,960 Speaker 1: about Legacy Box, and it makes so much sense what 631 00:34:14,080 --> 00:34:14,560 Speaker 1: they do. 632 00:34:15,040 --> 00:34:17,560 Speaker 2: I want to preserve all my old games. 633 00:34:17,800 --> 00:34:21,560 Speaker 1: How many of you out there have seen this Beckham 634 00:34:21,600 --> 00:34:23,680 Speaker 1: documentary that recently came out on Netflix? 635 00:34:23,680 --> 00:34:24,120 Speaker 2: Really good. 636 00:34:24,400 --> 00:34:28,960 Speaker 1: His dad said he had fourteen hundred tapes of his 637 00:34:29,160 --> 00:34:33,560 Speaker 1: son playing soccer growing up. Fourteen hundred. That's a crazy number, 638 00:34:34,040 --> 00:34:36,640 Speaker 1: but all of it's disintegrating. That's why you can use 639 00:34:36,680 --> 00:34:38,799 Speaker 1: a Legacy Box. They got a great offer right now 640 00:34:38,800 --> 00:34:41,600 Speaker 1: to be able to hook you up preserve your family 641 00:34:41,680 --> 00:34:46,759 Speaker 1: memories forever, and not this weekend, but next weekend is 642 00:34:46,960 --> 00:34:49,600 Speaker 1: Mother's Day. Do you know what you're gonna give your mom? 643 00:34:49,920 --> 00:34:51,879 Speaker 1: Do you know what you're gonna take care of with her? 644 00:34:52,200 --> 00:34:54,799 Speaker 1: Now is the perfect time to get hooked up with 645 00:34:54,920 --> 00:34:57,640 Speaker 1: Legacy Box. Go to legacy box dot com, slash Clay 646 00:34:58,080 --> 00:35:02,240 Speaker 1: best Mother's Day sale ever Legacy box dot com slash 647 00:35:02,320 --> 00:35:04,239 Speaker 1: Clay sixty percent off. 648 00:35:05,160 --> 00:35:08,600 Speaker 3: Sometimes all you can do is laugh, and they do 649 00:35:08,719 --> 00:35:10,880 Speaker 3: a lot of it with the Sunday Hangs. 650 00:35:11,200 --> 00:35:13,719 Speaker 2: Join Clay and Buck as they laugh. 651 00:35:13,560 --> 00:35:15,880 Speaker 3: It up in the Clay and Buck podcast feed on 652 00:35:15,920 --> 00:35:19,720 Speaker 3: the iHeartRadio app or wherever you get your podcasts, welcome 653 00:35:19,760 --> 00:35:20,080 Speaker 3: back in. 654 00:35:21,360 --> 00:35:23,120 Speaker 2: I think every line right now is let we're kind 655 00:35:23,160 --> 00:35:25,279 Speaker 2: of get some of their calls lined up and also 656 00:35:25,360 --> 00:35:28,080 Speaker 2: getting a lot of emails in. We're talking VP sweepstakes 657 00:35:28,560 --> 00:35:32,600 Speaker 2: on the happy side of things, the normal saying side 658 00:35:32,640 --> 00:35:37,400 Speaker 2: of things. Tim Scott number one in the current betting markets. 659 00:35:37,480 --> 00:35:40,960 Speaker 2: At least Stephonic very high in the mix there as well. 660 00:35:41,280 --> 00:35:45,480 Speaker 2: Jd Vance looking strong. I think an outside chance maybe 661 00:35:45,480 --> 00:35:50,040 Speaker 2: for Marshall Blackburn, but it's OUTDAKA. Governor Christy Nome has plummeted. 662 00:35:50,719 --> 00:35:52,680 Speaker 2: And I assume that is in response to we can 663 00:35:52,680 --> 00:35:54,560 Speaker 2: all assume that is a response to the story we 664 00:35:54,560 --> 00:35:58,920 Speaker 2: were talking about having to do with shooting a puppy. 665 00:36:00,160 --> 00:36:05,239 Speaker 2: As I say it out loud, shooting a puppy is Yeah, 666 00:36:05,280 --> 00:36:07,239 Speaker 2: it's not a good look, certainly not a good look 667 00:36:07,239 --> 00:36:09,480 Speaker 2: for your autobiography, as like, look at how tough I am. 668 00:36:10,120 --> 00:36:13,799 Speaker 2: I I don't know. It's I can't think of worse 669 00:36:13,880 --> 00:36:16,440 Speaker 2: political malpractice at that level in a book than that. 670 00:36:16,520 --> 00:36:18,120 Speaker 2: I can't think of one off the top of my head. 671 00:36:18,800 --> 00:36:21,239 Speaker 1: Vote for me. I killed old Yeller and I'll do 672 00:36:21,280 --> 00:36:23,200 Speaker 1: it again. Does not seem to know. 673 00:36:23,640 --> 00:36:25,880 Speaker 2: No, no, no, hold on Old Yeller was old and 674 00:36:25,960 --> 00:36:31,960 Speaker 2: had rabies. This was a fourteen month old puppy. I just, 675 00:36:32,120 --> 00:36:35,640 Speaker 2: I look at this stuff. Huella Deville had it right. 676 00:36:36,400 --> 00:36:40,920 Speaker 2: I just I don't. I don't understand, dude. 677 00:36:41,200 --> 00:36:44,280 Speaker 1: It's I mean, you know Mitt Romney got got roasted 678 00:36:44,320 --> 00:36:46,520 Speaker 1: for driving with the dog on the roof of the car, 679 00:36:47,920 --> 00:36:48,879 Speaker 1: and I know in the. 680 00:36:48,920 --> 00:36:52,680 Speaker 2: Movie vacation like this is such. It feels like intentional malpractice. 681 00:36:52,880 --> 00:36:54,040 Speaker 2: I don't understand it.