1 00:00:00,080 --> 00:00:03,320 Speaker 1: Welcome to today's edition of The Clay Travis and Buck 2 00:00:03,360 --> 00:00:07,960 Speaker 1: Sexton Show Podcast. Hour three of Clay and Buck begins 3 00:00:08,320 --> 00:00:11,119 Speaker 1: right now. Everybody, thanks for joining us. That's for being 4 00:00:11,119 --> 00:00:13,560 Speaker 1: with us here. I had talked about this a bit, 5 00:00:13,560 --> 00:00:16,239 Speaker 1: and I wanted to dive into a little bit more 6 00:00:16,239 --> 00:00:18,640 Speaker 1: now because I think it really matters and I want 7 00:00:18,680 --> 00:00:23,200 Speaker 1: everyone to understand where I think it's all going. The 8 00:00:23,520 --> 00:00:28,640 Speaker 1: Supreme Court, in its June decision, right May June, will 9 00:00:28,680 --> 00:00:31,720 Speaker 1: come out around then in its next series of decisions, 10 00:00:31,880 --> 00:00:37,120 Speaker 1: is going to tell us whether or not the system 11 00:00:37,320 --> 00:00:43,480 Speaker 1: of racial advantage in college admissions is constitutional. This all 12 00:00:43,560 --> 00:00:48,680 Speaker 1: came about because the group of Asian students, or rather 13 00:00:48,720 --> 00:00:54,680 Speaker 1: Asian students, and then a group of lawyers representing them, 14 00:00:54,960 --> 00:00:57,400 Speaker 1: brought suit against Harvard. And what they showed is something 15 00:00:57,400 --> 00:01:01,800 Speaker 1: that anybody who has understood the college emissions process for 16 00:01:01,840 --> 00:01:04,320 Speaker 1: a long time knows has been underway, which is that 17 00:01:05,240 --> 00:01:09,959 Speaker 1: the holistic here's just a quick history of what has 18 00:01:09,959 --> 00:01:14,080 Speaker 1: happened here with a firm of action in college emissions. 19 00:01:14,120 --> 00:01:16,120 Speaker 1: I'm even more familiar with that than I am with 20 00:01:16,160 --> 00:01:18,640 Speaker 1: the way it works. And say federal government hiring and 21 00:01:19,120 --> 00:01:23,600 Speaker 1: hiring in general. I've had a number of friends who 22 00:01:23,600 --> 00:01:27,039 Speaker 1: worked on admissions committees at Ivy League schools, and they 23 00:01:27,040 --> 00:01:28,760 Speaker 1: wouldn't really talk about it when they were there, but 24 00:01:28,800 --> 00:01:31,400 Speaker 1: when they finished, I had long debriefs with them about 25 00:01:31,440 --> 00:01:35,680 Speaker 1: the situation. And here's the short version. They pretend as 26 00:01:35,680 --> 00:01:39,040 Speaker 1: a matter of policy, whether it's Harvard, Princeton, Yale, Standford, Duke, 27 00:01:39,200 --> 00:01:43,960 Speaker 1: you know, all these ultra fancy and elite schools, they 28 00:01:44,000 --> 00:01:47,000 Speaker 1: pretend that what they do is they look at the 29 00:01:47,400 --> 00:01:49,400 Speaker 1: It's a holistic approach, is what they say. And this 30 00:01:49,480 --> 00:01:53,080 Speaker 1: is how they get around because quotas. We recognize quotas 31 00:01:53,080 --> 00:01:55,040 Speaker 1: are just an all lot assault on the meritocracy, and 32 00:01:55,120 --> 00:01:59,280 Speaker 1: quotas in other countries and other places have shown Joe 33 00:01:59,280 --> 00:02:02,360 Speaker 1: Biden just say, buck, I'm only putting a black woman 34 00:02:02,480 --> 00:02:05,240 Speaker 1: on the Supreme Court. And then you've run your entire 35 00:02:05,320 --> 00:02:08,960 Speaker 1: campaign on that, which would theoretically not even be permissible 36 00:02:09,200 --> 00:02:13,880 Speaker 1: under existing American law. There's always the Biden factor. Yes, 37 00:02:14,040 --> 00:02:16,840 Speaker 1: Biden decided to just say out loud what you're not 38 00:02:16,880 --> 00:02:19,440 Speaker 1: supposed to say, or rather to make a declaration about that. 39 00:02:19,840 --> 00:02:21,800 Speaker 1: But quotas are not okay, So what do they do? 40 00:02:21,840 --> 00:02:24,760 Speaker 1: They said, Well, as long as it's just one factor 41 00:02:24,800 --> 00:02:27,480 Speaker 1: among many. What this is is, effectively, it would be 42 00:02:27,480 --> 00:02:30,120 Speaker 1: the equivalent of if you had if you had an 43 00:02:30,240 --> 00:02:34,240 Speaker 1: entity that was discriminating against the racial minorities. They kept saying, well, 44 00:02:34,240 --> 00:02:37,320 Speaker 1: we have all we will just be more sly about 45 00:02:37,360 --> 00:02:40,880 Speaker 1: how we discriminate. But this is supposed to be positive discrimination, 46 00:02:40,919 --> 00:02:44,840 Speaker 1: as in, underrepresented oppressed groups are the ones getting the 47 00:02:44,840 --> 00:02:47,320 Speaker 1: advantage instead of the disadvantage to the left. The Democrats, 48 00:02:47,400 --> 00:02:50,680 Speaker 1: by the way, this is central to the Democrat Party's 49 00:02:51,120 --> 00:02:54,040 Speaker 1: ideology these days. This is very important to them that 50 00:02:54,120 --> 00:02:57,040 Speaker 1: this continues. And what we've seen is that no, that's 51 00:02:57,080 --> 00:03:00,000 Speaker 1: all basically a lie, that the numbers are the same 52 00:03:00,040 --> 00:03:04,280 Speaker 1: year in and year out, and that being certain certain 53 00:03:04,320 --> 00:03:08,000 Speaker 1: ethnic groups or skin colors is worth the equivalent of 54 00:03:08,040 --> 00:03:12,280 Speaker 1: a few hundred points on the SAT. So, for example, 55 00:03:12,400 --> 00:03:14,760 Speaker 1: the average student going to Harvard, and by the way, 56 00:03:14,800 --> 00:03:19,080 Speaker 1: I'm I'm estimating at the numbers, but these are roughly accurate. 57 00:03:19,560 --> 00:03:22,400 Speaker 1: The average Harvard student has like a fifteen fifty SAT 58 00:03:22,600 --> 00:03:25,240 Speaker 1: or something something completely out of sixteen hundred. Right, So, 59 00:03:25,480 --> 00:03:28,720 Speaker 1: I know, did you do act in Tennessee? Is that? 60 00:03:28,760 --> 00:03:31,079 Speaker 1: I know in Texas there's a lot of act we did. 61 00:03:31,120 --> 00:03:33,080 Speaker 1: We did both but I can't even are they still 62 00:03:33,120 --> 00:03:36,800 Speaker 1: on the sixteen hundred scale. And it went up to 63 00:03:36,800 --> 00:03:39,200 Speaker 1: twenty four hundred for a while, but that had less cache, 64 00:03:39,320 --> 00:03:41,640 Speaker 1: so that went back down to the sixteen hundred scale. 65 00:03:42,160 --> 00:03:44,760 Speaker 1: So but let's say it's roughly a fifteen fifty average 66 00:03:44,760 --> 00:03:46,400 Speaker 1: at Harvard something like that, which is probably one of 67 00:03:46,400 --> 00:03:48,840 Speaker 1: the highest in the country at Harvard mit Stanford, that 68 00:03:48,840 --> 00:03:51,520 Speaker 1: that would be like the ninety nine percentile for everybody 69 00:03:51,560 --> 00:03:53,680 Speaker 1: out there who are wondering, like what would have fifteen 70 00:03:53,760 --> 00:03:56,600 Speaker 1: something be Yoka. But when they look at the numbers 71 00:03:56,640 --> 00:04:01,680 Speaker 1: for say admitted black students or Native American students, it's 72 00:04:02,160 --> 00:04:05,280 Speaker 1: two hundred to three hundred points less than that. So 73 00:04:05,320 --> 00:04:08,760 Speaker 1: now you're talking about being in the thirteen hundreds, which 74 00:04:08,840 --> 00:04:12,480 Speaker 1: is now I'm guessing, but maybe in the you know, 75 00:04:12,840 --> 00:04:16,920 Speaker 1: sixty seventieth percentile something like that. So a good score, 76 00:04:17,000 --> 00:04:19,680 Speaker 1: but not anywhere near what it would be for the 77 00:04:19,760 --> 00:04:24,839 Speaker 1: standard student. Applying for Asian students, they turn away sixteen 78 00:04:25,000 --> 00:04:29,080 Speaker 1: hundred after sixteen scores, Oh, perfect score time. And so 79 00:04:29,360 --> 00:04:32,159 Speaker 1: this has just been the system for a long time. 80 00:04:32,240 --> 00:04:35,039 Speaker 1: This is the way it works. But Clay, the Supreme Court, 81 00:04:35,120 --> 00:04:38,080 Speaker 1: I do believe by I think a six three decision 82 00:04:38,560 --> 00:04:40,760 Speaker 1: is going to say you really just can't do I'm sorry, 83 00:04:40,800 --> 00:04:43,760 Speaker 1: you can't actually just keep doing this. You're not allowed 84 00:04:43,760 --> 00:04:46,919 Speaker 1: to discriminate on the basis of race. Is it Scaliers 85 00:04:47,080 --> 00:04:49,320 Speaker 1: or Scalier alito? They both have great lines on this. 86 00:04:49,400 --> 00:04:51,720 Speaker 1: One of them said the best way to stop discriminating 87 00:04:51,760 --> 00:04:53,800 Speaker 1: the basis of race is to stop discriminating on the 88 00:04:53,800 --> 00:04:57,120 Speaker 1: basis of race. Right, I was one of them. It 89 00:04:57,200 --> 00:04:59,720 Speaker 1: might even be John Roberts who said that. That might 90 00:04:59,720 --> 00:05:02,960 Speaker 1: have been Roberts. Actually, you're right, which is true though. 91 00:05:03,080 --> 00:05:04,839 Speaker 1: I mean, so I think we're like, we're heading for 92 00:05:04,839 --> 00:05:09,240 Speaker 1: six through decisions. Why does the Columbia University decision? Columbia 93 00:05:09,279 --> 00:05:11,000 Speaker 1: University is one of the Ivy League schools. Why does 94 00:05:11,000 --> 00:05:14,560 Speaker 1: it matter? And this is going to trickle through the 95 00:05:14,680 --> 00:05:16,880 Speaker 1: entire system by the way that they're getting rid of 96 00:05:16,920 --> 00:05:19,840 Speaker 1: the SAT entirely. You don't have to tell anybody SAT, 97 00:05:20,040 --> 00:05:23,800 Speaker 1: No SAT or Act scores required. It is so when 98 00:05:23,800 --> 00:05:26,160 Speaker 1: the Supreme Court comes down with this decision, they can 99 00:05:26,279 --> 00:05:30,080 Speaker 1: continue to take exactly the class they want, based on 100 00:05:30,200 --> 00:05:35,400 Speaker 1: exactly the diversity and inclusion metrics they want, without having 101 00:05:35,440 --> 00:05:38,800 Speaker 1: any kind of an objective paper trail to show that 102 00:05:38,880 --> 00:05:41,240 Speaker 1: they are discriminating the basis of race. And for people 103 00:05:41,240 --> 00:05:42,960 Speaker 1: who are gonna keep saying, oh, but you know, this 104 00:05:43,000 --> 00:05:44,520 Speaker 1: is going to mean these schools aren't as a lead 105 00:05:44,520 --> 00:05:48,240 Speaker 1: and everything else, these are credentialing programs effectively, Clay. The 106 00:05:48,320 --> 00:05:52,480 Speaker 1: whole point is the left wields these institutions as platforms 107 00:05:52,480 --> 00:05:55,880 Speaker 1: of power in the broader society. So they're not giving 108 00:05:55,920 --> 00:05:58,440 Speaker 1: this up, and they view this as essential. They're not 109 00:05:58,480 --> 00:06:00,320 Speaker 1: going to stop even if the Supreme Courts as they 110 00:06:00,320 --> 00:06:02,800 Speaker 1: need to stop. Well, And what I think is so 111 00:06:03,040 --> 00:06:06,360 Speaker 1: interesting here, at its baseline level, this is a war 112 00:06:06,520 --> 00:06:11,760 Speaker 1: on the meritocracy, right, whether you're Asian, black, Hispanic, white, 113 00:06:11,800 --> 00:06:14,960 Speaker 1: whatever your background is, whether you, like many people in America, 114 00:06:15,040 --> 00:06:19,000 Speaker 1: have a wide variety of backgrounds that make up your 115 00:06:19,160 --> 00:06:26,360 Speaker 1: genetic history. What this really represents is a rejection of 116 00:06:26,400 --> 00:06:31,520 Speaker 1: the idea that we're going to try to treat everybody equally. Right, 117 00:06:31,920 --> 00:06:35,760 Speaker 1: Because I think it's important to recognize the history of 118 00:06:35,760 --> 00:06:40,360 Speaker 1: standardized testing, all of these same elite institutions Harvard, Yale, 119 00:06:40,360 --> 00:06:46,240 Speaker 1: Princeton and the like were very aggressively discriminated against Jewish students. 120 00:06:46,600 --> 00:06:52,760 Speaker 1: They were very white, Anglo Saxton Protestant biased. So if 121 00:06:52,760 --> 00:06:55,719 Speaker 1: you were Jewish and you had a great test, you 122 00:06:55,800 --> 00:06:58,400 Speaker 1: had a great resume coming out of high school, they 123 00:06:58,400 --> 00:07:00,520 Speaker 1: would say, oh, you're not on the same level as 124 00:07:00,560 --> 00:07:03,440 Speaker 1: all these other students that were already admitting. And so 125 00:07:03,520 --> 00:07:06,080 Speaker 1: the idea of standardized testing was, Hey, whether you're a 126 00:07:06,160 --> 00:07:08,800 Speaker 1: kid growing up in Queens, or whether you're a kid 127 00:07:08,839 --> 00:07:13,080 Speaker 1: growing up in Charlotte or you know, in San Francisco, 128 00:07:13,240 --> 00:07:17,160 Speaker 1: we're gonna have one metric by which everybody has judged evenly. 129 00:07:17,960 --> 00:07:22,200 Speaker 1: And the problem is that the metrics are now being 130 00:07:22,320 --> 00:07:27,160 Speaker 1: dominated by people, especially Asian in particular, but also white, 131 00:07:27,560 --> 00:07:31,640 Speaker 1: that is not allowing the cosmetic diversity that these schools 132 00:07:31,800 --> 00:07:34,600 Speaker 1: believe is necessary. I saw the other day, I think 133 00:07:34,600 --> 00:07:37,920 Speaker 1: only twenty two percent of the incoming class at Stanford buck. 134 00:07:38,000 --> 00:07:40,040 Speaker 1: So the one of our team fact checked me if 135 00:07:40,080 --> 00:07:42,880 Speaker 1: I'm wrong on this is white. Is so seventy eight 136 00:07:42,960 --> 00:07:45,720 Speaker 1: percent of all students that were admitted to Stanford or 137 00:07:45,800 --> 00:07:48,520 Speaker 1: not white. This is still a majority white country. So 138 00:07:48,560 --> 00:07:51,480 Speaker 1: what Stanford is doing is trying to say we want 139 00:07:51,560 --> 00:07:55,000 Speaker 1: cosmetic diversity. And what's scary to me is not only 140 00:07:55,040 --> 00:08:00,560 Speaker 1: are you repudiating the meritocracy, you're also using cosmetic adversity 141 00:08:00,600 --> 00:08:04,520 Speaker 1: as opposed to what university should embrace, which is intellectual diversity. 142 00:08:04,560 --> 00:08:08,000 Speaker 1: So you're challenging your thought processes. By the way, you 143 00:08:08,080 --> 00:08:11,320 Speaker 1: nailed that. It was John Roberts with that, very excellent 144 00:08:11,440 --> 00:08:15,920 Speaker 1: John Roberts, a very smart man. Not back the first 145 00:08:15,960 --> 00:08:18,280 Speaker 1: cases he was involved in, by the way, because I 146 00:08:18,280 --> 00:08:21,280 Speaker 1: believe that decision came down while I was in law school, 147 00:08:21,360 --> 00:08:26,880 Speaker 1: like oh four, the decision that upheld the affirmative action policies. 148 00:08:26,960 --> 00:08:29,920 Speaker 1: And in that case, Saunder Day O'Connor again if I'm 149 00:08:29,920 --> 00:08:33,720 Speaker 1: remembering correctly said basically, this thing should be gone in 150 00:08:33,800 --> 00:08:36,600 Speaker 1: twenty five years, there won't be any necessity for it anymore. 151 00:08:36,720 --> 00:08:40,360 Speaker 1: And it's been about twenty five years now. I also, 152 00:08:40,440 --> 00:08:45,120 Speaker 1: I would disagree with the notion that it was it's 153 00:08:45,120 --> 00:08:48,719 Speaker 1: ever okay to say, well, it's unconstitutional, but we kind 154 00:08:48,760 --> 00:08:50,360 Speaker 1: of like it for now, so let's give it a 155 00:08:50,400 --> 00:08:54,480 Speaker 1: few more years. Um. I think that that's massively problematic. 156 00:08:54,480 --> 00:08:57,880 Speaker 1: But anyway, bringing it back here to um to where 157 00:08:57,920 --> 00:09:01,160 Speaker 1: I think this is all heading him in clay the 158 00:09:01,240 --> 00:09:05,600 Speaker 1: you know, these institutions are showing everyone that they've planned 159 00:09:05,640 --> 00:09:08,880 Speaker 1: on doing what they do. Anyone who thinks that college 160 00:09:08,880 --> 00:09:12,240 Speaker 1: admissions are going to change dramatically, at least at these 161 00:09:13,280 --> 00:09:17,280 Speaker 1: ultra elite private institutions. Selective maybe is a better way 162 00:09:17,280 --> 00:09:19,280 Speaker 1: of putting it, because they're highly selective. I mean, you're 163 00:09:19,520 --> 00:09:23,200 Speaker 1: I think the incoming class at Harvard three percent or 164 00:09:23,280 --> 00:09:25,959 Speaker 1: something like that, get in four percent. It's a tiny 165 00:09:26,080 --> 00:09:29,560 Speaker 1: tiny mouse. Didn't apply to like fifteen schools. A lot 166 00:09:29,600 --> 00:09:31,520 Speaker 1: of them do now because they have that common application. 167 00:09:31,559 --> 00:09:33,360 Speaker 1: When I don't know when you when you were applying, 168 00:09:33,400 --> 00:09:35,720 Speaker 1: but buck you had to fill out these like really 169 00:09:35,800 --> 00:09:38,280 Speaker 1: voluminous application. I think I only did five or six 170 00:09:38,360 --> 00:09:40,080 Speaker 1: of them. It wasn't that common to apply to a 171 00:09:40,120 --> 00:09:41,760 Speaker 1: ton of places. Now you can just click a button 172 00:09:41,760 --> 00:09:43,560 Speaker 1: and you can apply anywhere. Did you have to like 173 00:09:43,640 --> 00:09:46,160 Speaker 1: set the typeface on the Gutenberg press play and then 174 00:09:46,240 --> 00:09:48,720 Speaker 1: ride on your pony express to How did you do it? 175 00:09:48,800 --> 00:09:52,720 Speaker 1: I think? I think college applications were actually delivered with 176 00:09:53,320 --> 00:09:57,080 Speaker 1: with the with als, and I say passenger pigeon. Before 177 00:09:57,160 --> 00:09:59,440 Speaker 1: past pigeons, they didn't even have like you couldn't rely 178 00:09:59,520 --> 00:10:02,080 Speaker 1: on the the mail service. When I was a story, 179 00:10:02,120 --> 00:10:05,800 Speaker 1: I still remember, I still remember that there were some schools. 180 00:10:06,360 --> 00:10:08,640 Speaker 1: So I applied in two thousand where you had to 181 00:10:08,679 --> 00:10:12,040 Speaker 1: fill out the actual hard copy application with a typewriter. 182 00:10:12,600 --> 00:10:16,720 Speaker 1: That's how that's a thing. There's some handwrote I handwrote 183 00:10:16,720 --> 00:10:20,040 Speaker 1: the physical hard copy for many of my applications, which 184 00:10:20,080 --> 00:10:22,760 Speaker 1: is crazy now. But my understanding is now for all 185 00:10:22,800 --> 00:10:24,480 Speaker 1: of you out there with kids and grandkids, and I'll 186 00:10:24,520 --> 00:10:26,680 Speaker 1: be going through this crazily to myself because I'll have 187 00:10:26,679 --> 00:10:28,640 Speaker 1: his son going off to college in Theory in like 188 00:10:28,679 --> 00:10:31,680 Speaker 1: three years. I think you can just common application. You send, 189 00:10:31,760 --> 00:10:33,360 Speaker 1: you fill out one, you send it out to like 190 00:10:33,360 --> 00:10:36,000 Speaker 1: ten or twenty places. I'm gonna Uncle Buck is gonna 191 00:10:36,000 --> 00:10:37,640 Speaker 1: sit down with the Travis Boys at some point and 192 00:10:37,679 --> 00:10:39,600 Speaker 1: just have a little heart to heart them about how 193 00:10:39,840 --> 00:10:41,319 Speaker 1: they're gonna be. All these people are trying to sell 194 00:10:41,400 --> 00:10:44,559 Speaker 1: them on, Oh you want you want the New England 195 00:10:44,640 --> 00:10:47,679 Speaker 1: college experience, And there's all these great schools up there. 196 00:10:47,679 --> 00:10:49,920 Speaker 1: You know, there's Darkmounts and Harvard and Bowden and all 197 00:10:49,960 --> 00:10:53,160 Speaker 1: these places. You do not want to spend six months 198 00:10:52,840 --> 00:10:55,160 Speaker 1: of the year freezing your butt off. I'm just telling 199 00:10:55,160 --> 00:10:58,040 Speaker 1: you the Travis Boys just my prediction is, I don't 200 00:10:58,040 --> 00:11:01,080 Speaker 1: think the Travis Boys are living leaving the I think 201 00:11:01,120 --> 00:11:04,559 Speaker 1: they will go somewhere in the in the SEC footprint. Yeah, 202 00:11:04,600 --> 00:11:06,679 Speaker 1: I was gonna say, you know, to go to one 203 00:11:06,720 --> 00:11:08,720 Speaker 1: of the great schools where you actually want to be 204 00:11:08,760 --> 00:11:11,600 Speaker 1: outside for you know, most I would be very happy 205 00:11:11,679 --> 00:11:14,240 Speaker 1: signing the paperwork for them to go to Vanderbilt for 206 00:11:14,240 --> 00:11:16,679 Speaker 1: for all three of them. But I think bringing us 207 00:11:16,679 --> 00:11:19,319 Speaker 1: back to where this goes on the affirmative Action decision 208 00:11:19,360 --> 00:11:22,800 Speaker 1: and how these institutions are going to adapt, you have 209 00:11:22,840 --> 00:11:26,280 Speaker 1: to remember everyone that the the diversity and it First 210 00:11:26,320 --> 00:11:29,719 Speaker 1: of all, there's a massive diversity and inclusion bureaucracy. Now, 211 00:11:30,559 --> 00:11:33,280 Speaker 1: these these are like the if those of you who 212 00:11:33,320 --> 00:11:35,480 Speaker 1: are like me, big hunt for Red October fans. You know, 213 00:11:35,480 --> 00:11:38,640 Speaker 1: there's the political officer of the political commissar. The first 214 00:11:38,640 --> 00:11:40,840 Speaker 1: person that Sean Connery takes out on the on the 215 00:11:40,880 --> 00:11:43,000 Speaker 1: submarine is there to make sure that everybody is only 216 00:11:43,040 --> 00:11:45,480 Speaker 1: saying and thinking the right things on that Soviet sub 217 00:11:46,240 --> 00:11:48,920 Speaker 1: that's a commissar. Just by way of that's a little 218 00:11:48,960 --> 00:11:52,520 Speaker 1: a little commissar. The commissars of diversity and inclusion are 219 00:11:52,880 --> 00:11:55,600 Speaker 1: all over these institutions. I mean, when you start to 220 00:11:55,640 --> 00:12:00,280 Speaker 1: count the number of deans of diversity making hundred fifty 221 00:12:00,440 --> 00:12:02,959 Speaker 1: two hundred grand perhaps more at a lot of these schools. 222 00:12:03,360 --> 00:12:05,640 Speaker 1: It's it's a lot, folks. There's a lot of people 223 00:12:05,720 --> 00:12:08,400 Speaker 1: who their whole job is to be a part of 224 00:12:08,440 --> 00:12:12,160 Speaker 1: and propagate this system that Supreme Court has referred to 225 00:12:12,200 --> 00:12:14,480 Speaker 1: before as a racial spoil system. And that's what a 226 00:12:14,480 --> 00:12:18,360 Speaker 1: primitive action has become. And they're going to fight tooth 227 00:12:18,400 --> 00:12:20,920 Speaker 1: and nail to protect this, not because they don't care 228 00:12:20,960 --> 00:12:24,520 Speaker 1: what it actually means for the institution academically. This is 229 00:12:24,559 --> 00:12:29,520 Speaker 1: about the Left being able to pursue its agenda throughout 230 00:12:29,520 --> 00:12:34,120 Speaker 1: the broader society by deciding who gets this stamp from 231 00:12:34,120 --> 00:12:38,040 Speaker 1: the institution, who gets that mark of approval, that then 232 00:12:38,080 --> 00:12:40,480 Speaker 1: opens the doors and look, because you know, a lot 233 00:12:40,559 --> 00:12:42,120 Speaker 1: for a lot of jobs and stuff, still, what's the 234 00:12:42,160 --> 00:12:44,880 Speaker 1: first thing they want to know? Where'd you go to school? 235 00:12:45,080 --> 00:12:47,480 Speaker 1: When you're still to it is the single most important 236 00:12:47,480 --> 00:12:52,480 Speaker 1: thing on your resume, it is, which is crazy because 237 00:12:52,920 --> 00:12:55,959 Speaker 1: I mean, I especially saw this working in the Intel 238 00:12:55,960 --> 00:12:59,800 Speaker 1: community that so many of the people who are the 239 00:12:59,840 --> 00:13:03,600 Speaker 1: most most impressive were people that found their way to 240 00:13:03,840 --> 00:13:06,360 Speaker 1: and through education on their own, without it being all 241 00:13:06,400 --> 00:13:08,440 Speaker 1: about the credentials. They went to state schools and everyon 242 00:13:08,440 --> 00:13:10,440 Speaker 1: went to junior schollege or community college and then went 243 00:13:10,480 --> 00:13:14,160 Speaker 1: to because they had a work ethic where they're basically 244 00:13:14,240 --> 00:13:17,000 Speaker 1: working their ass off and they knew what the value 245 00:13:17,080 --> 00:13:19,400 Speaker 1: education was because it wasn't just like, oh, well, you know, 246 00:13:19,720 --> 00:13:21,559 Speaker 1: my dad went to Cornell, so I'm going to go 247 00:13:21,640 --> 00:13:24,200 Speaker 1: to Cornell, which is also a very common thing. And 248 00:13:24,200 --> 00:13:26,320 Speaker 1: those you've seen in the office know the Andy character 249 00:13:26,360 --> 00:13:29,880 Speaker 1: with his Cornell obsession is fantastic. I have a lot 250 00:13:29,880 --> 00:13:32,920 Speaker 1: of jokes to make about Cornell, but not today. But yeah, 251 00:13:32,960 --> 00:13:34,840 Speaker 1: I mean, Clay, I just think that everyone should get 252 00:13:34,880 --> 00:13:37,360 Speaker 1: ready for this is going to happen in a lot 253 00:13:37,400 --> 00:13:40,040 Speaker 1: of institutions a lot of places. They're going to get 254 00:13:40,120 --> 00:13:43,160 Speaker 1: rid of objective metrics because they want to continue the 255 00:13:43,240 --> 00:13:46,040 Speaker 1: racial spoil system of affirmative action in every way they can, 256 00:13:46,160 --> 00:13:48,600 Speaker 1: everywhere they can. They're not just going to destroy I 257 00:13:48,640 --> 00:13:51,360 Speaker 1: think Buck the one brand advantage that they have, which 258 00:13:51,400 --> 00:13:53,360 Speaker 1: is what we were just saying when you were twenty two, 259 00:13:53,720 --> 00:13:56,400 Speaker 1: where you went to college was a rough approximation of 260 00:13:56,440 --> 00:14:00,000 Speaker 1: your ability to succeed in the meritocracy. When it becomes 261 00:14:00,160 --> 00:14:05,440 Speaker 1: entirely arbitrary, what are you selling, then you're destroying your brand. 262 00:14:05,480 --> 00:14:07,520 Speaker 1: I think it'll take it'll take time. Though. You know, 263 00:14:07,640 --> 00:14:10,080 Speaker 1: we're all supposed to a perfect example, We're all supposed 264 00:14:10,080 --> 00:14:13,120 Speaker 1: to be so impressed by Pete Buddha Judge just because 265 00:14:13,720 --> 00:14:15,680 Speaker 1: you know he went to Harvard. I know people also 266 00:14:15,720 --> 00:14:18,000 Speaker 1: talk about his service, and I appreciate the service country, 267 00:14:18,040 --> 00:14:20,640 Speaker 1: but I served where he served in Afghanistan, and you know, 268 00:14:20,680 --> 00:14:22,080 Speaker 1: there are a lot of places to get a latte. 269 00:14:22,120 --> 00:14:23,760 Speaker 1: I'm just gonna be honest with everybody. It's not like 270 00:14:24,040 --> 00:14:27,680 Speaker 1: he wasn't kicking indoors. He wasn't an operator. Um. But 271 00:14:28,720 --> 00:14:31,680 Speaker 1: that's where this really helps for people, is it creates 272 00:14:31,720 --> 00:14:36,040 Speaker 1: the perception of competency based upon a branding or a 273 00:14:36,080 --> 00:14:39,040 Speaker 1: brand that the left gets to determine who gets it. 274 00:14:39,800 --> 00:14:41,040 Speaker 1: And there's a lot of things that go into this. 275 00:14:41,120 --> 00:14:42,800 Speaker 1: I know there's a lot you know, there's an alumni donation, 276 00:14:42,840 --> 00:14:46,080 Speaker 1: and there's there's sports recruiting, and there's legacy and all 277 00:14:46,080 --> 00:14:48,680 Speaker 1: this stuff. But the whole system, I think clay. The 278 00:14:48,680 --> 00:14:50,640 Speaker 1: further it gets from meritocracy, the more it just sort 279 00:14:50,680 --> 00:14:55,920 Speaker 1: of collapses into uh, into irrelevance. Skyrocketing inflation has affected 280 00:14:55,960 --> 00:15:00,240 Speaker 1: nearly every product in industry, including the ammunition makers. It 281 00:15:00,280 --> 00:15:02,520 Speaker 1: made it all the more expensive to train and keep 282 00:15:02,560 --> 00:15:04,960 Speaker 1: your skills sharp if you're a gun owner, but now 283 00:15:05,040 --> 00:15:07,600 Speaker 1: you can train without Ammo in your home using the 284 00:15:07,640 --> 00:15:09,760 Speaker 1: mantis X. It's really addictive once you start doing it 285 00:15:09,800 --> 00:15:12,000 Speaker 1: because you're getting better and it's fun. It's almost like 286 00:15:12,000 --> 00:15:14,160 Speaker 1: a video game, but it's improving your shooting skills at 287 00:15:14,160 --> 00:15:17,680 Speaker 1: the same time. Mantis x is a firearms training system. 288 00:15:17,720 --> 00:15:20,400 Speaker 1: It is no Ammo, all electronic. You can do it anywhere, 289 00:15:20,400 --> 00:15:23,360 Speaker 1: sitting in your couch, sitting in the end of your bed, chair, 290 00:15:23,400 --> 00:15:26,160 Speaker 1: out on your lawn, you name it. Mantis X is phenomenal. 291 00:15:26,400 --> 00:15:29,640 Speaker 1: You ordered online for delivery and it attaches to your 292 00:15:29,640 --> 00:15:32,880 Speaker 1: firearm like a weapon light, and then your smartphone connects 293 00:15:32,880 --> 00:15:35,160 Speaker 1: to it via Bluetooth. From there you're able to get 294 00:15:35,240 --> 00:15:39,240 Speaker 1: data driven, real time feedback on your shooting skills and technique. 295 00:15:39,360 --> 00:15:41,560 Speaker 1: It's got courses in drills so you can work to 296 00:15:41,600 --> 00:15:45,000 Speaker 1: improve your aim and capabilities. Ninety four percent of those 297 00:15:45,080 --> 00:15:47,680 Speaker 1: using a mantis X improve within a half hour of 298 00:15:47,800 --> 00:15:50,240 Speaker 1: using it. It only gets better from there. It'll make 299 00:15:50,280 --> 00:15:52,880 Speaker 1: your next visit to gun range that much more exciting. 300 00:15:53,240 --> 00:15:57,000 Speaker 1: Mantis X is military military grade technology at an affordable price, 301 00:15:57,040 --> 00:15:59,800 Speaker 1: and I must have for every gun owner. Start improving 302 00:15:59,800 --> 00:16:03,400 Speaker 1: your shooting accuracy today, get yours at mantis x dot com. 303 00:16:03,400 --> 00:16:09,440 Speaker 1: That's m a NTI SX dot com. Learn and Last 304 00:16:09,800 --> 00:16:14,440 Speaker 1: Weekdays with Clay Travis and Buck Sexton Walk Back in 305 00:16:14,600 --> 00:16:17,880 Speaker 1: Clay Travis Buck Sexton Show, we were talking about the 306 00:16:17,960 --> 00:16:21,480 Speaker 1: fallout of Chris Rock's special yesterday. I guess it was 307 00:16:21,480 --> 00:16:24,560 Speaker 1: because the special came out on late Saturday night, and 308 00:16:24,720 --> 00:16:28,359 Speaker 1: I did think that it's important to continue to echo. 309 00:16:28,560 --> 00:16:31,480 Speaker 1: Republicans need to be the party that believes everybody can 310 00:16:31,520 --> 00:16:34,360 Speaker 1: be made fun of, regardless of their race, their ethnicity, 311 00:16:34,400 --> 00:16:37,240 Speaker 1: their gender, and the jokes are good. I can't believe 312 00:16:37,240 --> 00:16:40,320 Speaker 1: we have to have this conversation on CNN this morning. 313 00:16:40,520 --> 00:16:42,880 Speaker 1: A black woman said, if you make fun of a 314 00:16:42,920 --> 00:16:46,480 Speaker 1: black woman, you deserve physical violence. Listen, you know people 315 00:16:46,520 --> 00:16:48,040 Speaker 1: are going to focus in your words saying, you know, 316 00:16:48,160 --> 00:16:51,480 Speaker 1: is Candice McDuffie condoning violence? Saying that Will Smith should 317 00:16:51,480 --> 00:16:53,840 Speaker 1: have slapped Chris Rock. I think, you know, in the 318 00:16:53,880 --> 00:16:56,760 Speaker 1: literal sense, it seems like a bit much. But honestly, 319 00:16:56,960 --> 00:16:59,920 Speaker 1: sitting here, you know, calling Jada out of grant name, 320 00:17:00,400 --> 00:17:03,680 Speaker 1: making fun of her hair condition, talking about her alopecia, 321 00:17:03,840 --> 00:17:06,399 Speaker 1: words can be as well. And as we're seeing, you know, 322 00:17:06,440 --> 00:17:09,840 Speaker 1: black girls and women, we suffer abuse at higher rates 323 00:17:09,840 --> 00:17:13,480 Speaker 1: in this country. So continuing to humiliate us only perpetuates this. 324 00:17:14,960 --> 00:17:17,879 Speaker 1: Beat up people if they say mean things, if you 325 00:17:17,960 --> 00:17:21,440 Speaker 1: don't like their jokes, words or violence. Buck, I can't 326 00:17:21,440 --> 00:17:24,399 Speaker 1: believe this opening here. Republicans are the party that like 327 00:17:24,520 --> 00:17:27,800 Speaker 1: to laugh own it. Yeah, you know, the the left 328 00:17:27,840 --> 00:17:29,520 Speaker 1: has moved a little bit away from this, but for 329 00:17:29,560 --> 00:17:34,000 Speaker 1: a while there their position was, and remember left in 330 00:17:34,040 --> 00:17:37,480 Speaker 1: democrats the same. So whenever I say the left, just 331 00:17:37,560 --> 00:17:42,280 Speaker 1: insert democrat. Their belief was that words equal violence. This 332 00:17:42,400 --> 00:17:44,480 Speaker 1: is something that they really said that one. No, no, 333 00:17:44,520 --> 00:17:46,760 Speaker 1: I know she said that, but that's not that wasn't uncommon. 334 00:17:46,840 --> 00:17:52,200 Speaker 1: That's they've become less frequent users of that term, but 335 00:17:52,359 --> 00:17:54,760 Speaker 1: that was an argument they tried out for years. Essentially, 336 00:17:55,280 --> 00:17:56,480 Speaker 1: I don't like what you said, so I have to 337 00:17:56,480 --> 00:17:58,199 Speaker 1: punch you because what you said is the same thing 338 00:17:58,200 --> 00:17:59,919 Speaker 1: as the violence that I'm going to commit against you. 339 00:18:00,480 --> 00:18:03,439 Speaker 1: It's wild. Jokes are good. Embrace them, even if you 340 00:18:03,480 --> 00:18:07,440 Speaker 1: don't necessarily love them all. Embrace comedians. You know all 341 00:18:07,480 --> 00:18:10,159 Speaker 1: about how woke active as sees control of America's schools 342 00:18:10,200 --> 00:18:12,720 Speaker 1: now a group of investment firms Americans in trust with 343 00:18:12,760 --> 00:18:16,360 Speaker 1: our pensions and retirements are playing woke politics with your 344 00:18:16,359 --> 00:18:19,399 Speaker 1: money without our knowledge or consent. Few large investment firms 345 00:18:19,520 --> 00:18:23,000 Speaker 1: names you know, control trillions of dollars of your money, 346 00:18:23,040 --> 00:18:25,679 Speaker 1: and they're using those dollars to advance their woke ideology 347 00:18:25,720 --> 00:18:29,560 Speaker 1: through a progressive social scoring program called ESG. They claim 348 00:18:29,560 --> 00:18:32,439 Speaker 1: it promotes corporate responsibility, but what they're really doing is 349 00:18:32,520 --> 00:18:35,480 Speaker 1: using americans hard earned money to finance their political agenda, 350 00:18:35,520 --> 00:18:39,840 Speaker 1: forcing businesses to comply or else. Some states are fighting back, 351 00:18:39,920 --> 00:18:42,560 Speaker 1: letting those investment firms know they can't play politics with 352 00:18:42,640 --> 00:18:45,359 Speaker 1: our pensions. You can fight back as well by going 353 00:18:45,400 --> 00:18:48,720 Speaker 1: to consumers Research dot org to learn more about their 354 00:18:48,760 --> 00:18:54,080 Speaker 1: mission to protect consumers from woke investment firms. That's consumers 355 00:18:54,160 --> 00:18:58,760 Speaker 1: Research dot org. Fleet Travis and Buck Sexton on the 356 00:18:58,880 --> 00:19:04,000 Speaker 1: front lines of the truth. You know, in the animal Kingdom, 357 00:19:04,080 --> 00:19:07,840 Speaker 1: there are some apex predators out there, Clay, there are 358 00:19:07,880 --> 00:19:12,760 Speaker 1: some some beasts, some creatures that if you happen to 359 00:19:12,760 --> 00:19:14,480 Speaker 1: get on the wrong side of them, you know, it's 360 00:19:14,560 --> 00:19:17,800 Speaker 1: it's very bad luck. But you know, if you get 361 00:19:17,800 --> 00:19:21,679 Speaker 1: taken down by a grizzly bear, or let's say a lion. 362 00:19:22,800 --> 00:19:25,399 Speaker 1: You know, it's an apex predator, like that's you know, 363 00:19:25,440 --> 00:19:28,320 Speaker 1: that's that's not a nobody ever wants to go that way. 364 00:19:28,400 --> 00:19:31,159 Speaker 1: We all want to go surrounded by loved ones, peaceably 365 00:19:31,200 --> 00:19:34,479 Speaker 1: in our bed, with our you know, grandchildren and our 366 00:19:34,560 --> 00:19:38,680 Speaker 1: legacy firmly you know, firmly entrenched. But I'm just saying, 367 00:19:38,720 --> 00:19:41,760 Speaker 1: if the animal kingdom comes comes at you, there's a 368 00:19:41,800 --> 00:19:45,600 Speaker 1: whole like array, you know, and you know, for example, 369 00:19:46,680 --> 00:19:51,119 Speaker 1: if it's a choice between a lion and a hippo, 370 00:19:51,320 --> 00:19:55,480 Speaker 1: hippos kill more people than lions. Now, I'm just saying, 371 00:19:55,560 --> 00:19:57,280 Speaker 1: I feel like if you if you had to pick 372 00:19:57,480 --> 00:19:59,080 Speaker 1: this is I know, this is a little bit morbid, 373 00:19:59,359 --> 00:20:01,480 Speaker 1: but you'd rather would be like, look a lion, A lion, 374 00:20:01,560 --> 00:20:03,480 Speaker 1: got me right. You don't want to go because of 375 00:20:03,480 --> 00:20:07,840 Speaker 1: a hippo, grizzly bear. Those things are massive, polar bear, incredible. 376 00:20:08,080 --> 00:20:10,119 Speaker 1: You think if people would be like, oh, you're a 377 00:20:10,160 --> 00:20:12,480 Speaker 1: total wus you got killed by a hippo, Like I 378 00:20:12,520 --> 00:20:15,240 Speaker 1: think either way people would be like, that's pretty like 379 00:20:15,440 --> 00:20:18,040 Speaker 1: terrifying way to go. No, it's a terrified way to go. 380 00:20:18,080 --> 00:20:20,240 Speaker 1: But I'm just saying if if you had to, you know, 381 00:20:20,280 --> 00:20:22,640 Speaker 1: if you had to choose the form of your destructor 382 00:20:22,640 --> 00:20:25,919 Speaker 1: like a Ghostbusters. I think, you know, a lion is 383 00:20:25,960 --> 00:20:27,920 Speaker 1: like the king of the you know, king of the jungle. 384 00:20:27,960 --> 00:20:29,919 Speaker 1: That you don't want it to be a hippo. You 385 00:20:29,960 --> 00:20:31,760 Speaker 1: don't want it to be something that you know, you 386 00:20:31,800 --> 00:20:33,439 Speaker 1: don't think of in this I don't want it to 387 00:20:33,480 --> 00:20:36,199 Speaker 1: be like I don't want to like Steve Irwin, you know, 388 00:20:36,280 --> 00:20:38,880 Speaker 1: got killed, God rest his memory, one of the best 389 00:20:38,880 --> 00:20:42,680 Speaker 1: shows ever got killed by a sting ray. I know 390 00:20:43,080 --> 00:20:46,520 Speaker 1: that that was a see that was totally accident, but 391 00:20:46,560 --> 00:20:50,120 Speaker 1: I mean he had literally kissed in a special because 392 00:20:50,160 --> 00:20:53,840 Speaker 1: I watched it, like the most dangerous, venomous snake in 393 00:20:53,880 --> 00:20:56,360 Speaker 1: the world, and then he gets killed by a sting ray. 394 00:20:56,720 --> 00:20:59,720 Speaker 1: So you know, here's what I mean. If if you 395 00:21:00,160 --> 00:21:04,520 Speaker 1: are out there in the bush and you try to wrestle, 396 00:21:05,440 --> 00:21:07,600 Speaker 1: I don't know, whatever the most poisonous snake, it's probably 397 00:21:07,600 --> 00:21:10,199 Speaker 1: lives in Australia, But whatever the most poisonous snake is, 398 00:21:10,600 --> 00:21:13,639 Speaker 1: you know, that's you're messing with poisonous snakes. That's you know. 399 00:21:14,040 --> 00:21:17,040 Speaker 1: What you don't want is to be the person who 400 00:21:17,080 --> 00:21:20,280 Speaker 1: like picks up a tiny blue ringed octopus, which are 401 00:21:20,600 --> 00:21:25,480 Speaker 1: incredibly venomous. By the way, Oh yeah, and I think 402 00:21:25,480 --> 00:21:28,480 Speaker 1: the only anti venom. They don't have an anti venom. 403 00:21:28,520 --> 00:21:30,720 Speaker 1: So what they do is they if you can get 404 00:21:30,760 --> 00:21:33,160 Speaker 1: to the hospital and it's in less than an hour, 405 00:21:33,240 --> 00:21:34,919 Speaker 1: you have to get there, they put you on a 406 00:21:35,000 --> 00:21:37,960 Speaker 1: ventilator because the neurotoxin is so powerful that it will 407 00:21:37,960 --> 00:21:42,080 Speaker 1: shut down your lungs and your respiratory capacity entirely. So 408 00:21:42,160 --> 00:21:44,600 Speaker 1: the only way you survive is if you get to 409 00:21:44,680 --> 00:21:46,880 Speaker 1: a hospital and get on a ventilator. This is when 410 00:21:46,960 --> 00:21:50,600 Speaker 1: ventilators are actually very useful because there's no anti venom. Anyway. 411 00:21:50,760 --> 00:21:54,119 Speaker 1: I bring all this up because of all the of 412 00:21:54,160 --> 00:21:57,000 Speaker 1: all the ways you could go, oh wait, hold on, 413 00:21:57,160 --> 00:21:59,600 Speaker 1: this is an animal Thunderdrome story, so we've I didn't 414 00:21:59,600 --> 00:22:11,040 Speaker 1: even bring We're stepping into the thunderdome right now, ladies 415 00:22:11,040 --> 00:22:14,600 Speaker 1: and gentlemen. I'm just glad I was scary, boys and girls. 416 00:22:14,920 --> 00:22:17,280 Speaker 1: I thought he had thought I was like this ynormous 417 00:22:17,280 --> 00:22:23,320 Speaker 1: piece of chicken. Dim times. I had such of my space. 418 00:22:24,560 --> 00:22:31,400 Speaker 1: This is animal Thunderdome show for me. So we did 419 00:22:31,440 --> 00:22:34,240 Speaker 1: this for years. We brought it onto this show as well. 420 00:22:34,280 --> 00:22:36,040 Speaker 1: So that's the theme song we would do on the 421 00:22:36,080 --> 00:22:38,840 Speaker 1: morning show. So you have and this is like animals 422 00:22:38,880 --> 00:22:42,800 Speaker 1: attacking humans, which happens all the time, and you've got 423 00:22:42,840 --> 00:22:45,520 Speaker 1: a story. Well yeah, but we've done animal Thunderdome on. 424 00:22:46,400 --> 00:22:47,719 Speaker 1: It's been a little while. I just want to make 425 00:22:47,760 --> 00:22:49,720 Speaker 1: sure people out there to say, what in the world 426 00:22:49,800 --> 00:22:51,879 Speaker 1: is this? Yes, we we unveiled it because also one 427 00:22:51,880 --> 00:22:54,320 Speaker 1: of my favorite games growing up during long, long car 428 00:22:54,400 --> 00:22:56,880 Speaker 1: rides with my mom and dad. My dad usually took 429 00:22:56,920 --> 00:22:59,199 Speaker 1: point on this was we were like, who wins in 430 00:22:59,240 --> 00:23:05,320 Speaker 1: a fight a rhinoceros or a pterodactyl, like crazy day, yeah, like, 431 00:23:06,000 --> 00:23:07,679 Speaker 1: and it would get kind of heated sometimes, you know, 432 00:23:07,720 --> 00:23:10,600 Speaker 1: I mean once once you get to the conversation about 433 00:23:10,800 --> 00:23:14,000 Speaker 1: mountain lion, silverback gorilla, I mean mountain lion outweighed by 434 00:23:14,000 --> 00:23:17,280 Speaker 1: silverback silverback usually very gentle giant. But anyway, I don't 435 00:23:17,320 --> 00:23:19,600 Speaker 1: want to get too deep into that right now. A 436 00:23:19,680 --> 00:23:25,640 Speaker 1: moose charged snowmobilers in Idaho. This is this just went 437 00:23:25,760 --> 00:23:28,000 Speaker 1: viral in the last couple of days. Well have we 438 00:23:28,000 --> 00:23:30,080 Speaker 1: have the video up at clayonbuck dot com. I was 439 00:23:30,119 --> 00:23:34,560 Speaker 1: thinking about this before just because man, you know, a 440 00:23:34,680 --> 00:23:37,560 Speaker 1: moose is not an animal that you think of as 441 00:23:38,119 --> 00:23:43,080 Speaker 1: particularly dangerous, but they kill people. It's a giant deer basically, 442 00:23:43,200 --> 00:23:46,840 Speaker 1: and they can be very aggressive and territorial. But this moose, 443 00:23:46,960 --> 00:23:49,320 Speaker 1: this guy on the snowmobile, if you see it, and 444 00:23:49,359 --> 00:23:51,880 Speaker 1: like I said, Clanbuck dot com, we're getting it posted there. 445 00:23:52,560 --> 00:23:54,960 Speaker 1: He is able to use. Now, this is a pro 446 00:23:55,080 --> 00:23:58,600 Speaker 1: level move. He's able to use the snowbobile as a 447 00:23:58,800 --> 00:24:03,480 Speaker 1: sort of the the the distance maker between. Like, so 448 00:24:03,520 --> 00:24:06,000 Speaker 1: the moose charges him and he sort of maneuvers around. 449 00:24:06,160 --> 00:24:09,399 Speaker 1: He's on foot, any maneuvers around the snowmobile so that 450 00:24:09,440 --> 00:24:12,280 Speaker 1: the moose ends up charging right into the snowmobile and 451 00:24:12,400 --> 00:24:15,320 Speaker 1: not him. Uh, you know, both of them are There 452 00:24:15,359 --> 00:24:17,520 Speaker 1: was a two brothers out there the snowmobiles in Idaho. 453 00:24:17,520 --> 00:24:20,520 Speaker 1: They're both okay, but man, you don't want to to 454 00:24:20,560 --> 00:24:23,480 Speaker 1: get got by a moose. Clay that's low on the list. 455 00:24:24,160 --> 00:24:27,040 Speaker 1: You've been on a snowmobile like a legit snowbile. I've 456 00:24:27,040 --> 00:24:30,160 Speaker 1: never been snowmobiling. So I took the family. We went 457 00:24:30,160 --> 00:24:32,560 Speaker 1: out to Utah over I think I talked about this 458 00:24:32,600 --> 00:24:33,919 Speaker 1: we were going to be in Utah. I love it 459 00:24:33,920 --> 00:24:36,320 Speaker 1: out there. We appreciate everybody listening in Salt Lake City. 460 00:24:36,320 --> 00:24:38,760 Speaker 1: We're number one and we love all of you. In 461 00:24:38,880 --> 00:24:45,000 Speaker 1: Utah um and we were out in um the mountains 462 00:24:45,000 --> 00:24:47,560 Speaker 1: there in fact our guide. I gotta make sure my 463 00:24:47,600 --> 00:24:50,359 Speaker 1: wife venmo him a tip actually, now that I think 464 00:24:50,359 --> 00:24:52,240 Speaker 1: about it, because I don't have I don't do Venmo. 465 00:24:52,640 --> 00:24:55,840 Speaker 1: But he was a big listener, so he was. He 466 00:24:55,880 --> 00:24:57,720 Speaker 1: was a listener of the show out and I think 467 00:24:57,760 --> 00:25:01,480 Speaker 1: the Wasatch does that make sense? The Wassatch Mountain Area 468 00:25:01,640 --> 00:25:05,280 Speaker 1: beautiful Resort, I mean fifty thousand. I think they said 469 00:25:05,359 --> 00:25:08,520 Speaker 1: acres tons of land. Anyway, these these snow but I've 470 00:25:08,520 --> 00:25:11,480 Speaker 1: never done it. We got out on the snowmobiles. Fuck, 471 00:25:11,520 --> 00:25:13,920 Speaker 1: these things are amazing, like the way that you can 472 00:25:13,920 --> 00:25:16,879 Speaker 1: maneuver them everything else. Wife has two of the kids 473 00:25:16,920 --> 00:25:20,920 Speaker 1: on it. I have one. She tipped the snowmobile. If 474 00:25:20,960 --> 00:25:23,320 Speaker 1: I had tipped the snowmobile with a kid on it, 475 00:25:23,720 --> 00:25:27,480 Speaker 1: shoot A lost her mind five minutes in boom snowmobiles 476 00:25:27,520 --> 00:25:29,919 Speaker 1: over and we have to go get it. I mean, 477 00:25:30,240 --> 00:25:32,000 Speaker 1: these things are pretty flexible, but you have to like 478 00:25:32,040 --> 00:25:35,000 Speaker 1: get it back up. It was amazing on those things. 479 00:25:35,040 --> 00:25:36,840 Speaker 1: I couldn't believe how fast you could go. But the 480 00:25:36,880 --> 00:25:39,800 Speaker 1: idea of getting charged by a moose on a snowmobile 481 00:25:40,359 --> 00:25:41,960 Speaker 1: is I mean, first of all, it sounds like something 482 00:25:42,000 --> 00:25:45,360 Speaker 1: they do on Jackass, right, like like actually designed one 483 00:25:45,359 --> 00:25:48,439 Speaker 1: of these challenges, but they're so awesome to be out on. 484 00:25:48,520 --> 00:25:49,720 Speaker 1: If you haven't done it, you need to add it 485 00:25:49,720 --> 00:25:51,800 Speaker 1: to the bucket list for you and carry So if 486 00:25:51,840 --> 00:25:56,240 Speaker 1: you're if you're having to deal with a charge from 487 00:25:56,280 --> 00:26:01,080 Speaker 1: a moose or a charge from a rhinoceros, which one 488 00:26:01,160 --> 00:26:04,359 Speaker 1: do you think is the is the more dangerous play 489 00:26:04,400 --> 00:26:06,160 Speaker 1: for you? Because I think moose has got a little 490 00:26:06,160 --> 00:26:08,159 Speaker 1: more dexterity, you know, a moose kind of able to 491 00:26:09,320 --> 00:26:12,399 Speaker 1: I think the rhino is way bigger, so and stronger, 492 00:26:12,480 --> 00:26:15,000 Speaker 1: So my expectation would be there's no way to be 493 00:26:15,040 --> 00:26:20,240 Speaker 1: touched by the rhino and not severely injured, Whereas I think, look, 494 00:26:20,359 --> 00:26:23,359 Speaker 1: the moose is also probably gonna wreck you, But I 495 00:26:23,800 --> 00:26:26,640 Speaker 1: think that the moose would be the preferred choice there. 496 00:26:27,040 --> 00:26:29,280 Speaker 1: The moose is the moose will trample you. That's the problem, 497 00:26:29,359 --> 00:26:31,959 Speaker 1: right They actually they'll they'll run you down and then 498 00:26:32,000 --> 00:26:36,479 Speaker 1: they stomp on you with the hooves. The hooves, Yeah, yeah, no, 499 00:26:36,600 --> 00:26:38,120 Speaker 1: you don't want it. You don't want to get trampled 500 00:26:38,119 --> 00:26:40,040 Speaker 1: by a moose. This is by the way, this is 501 00:26:40,240 --> 00:26:43,399 Speaker 1: like main audience right now is like, oh yeah, the moose, 502 00:26:43,440 --> 00:26:46,080 Speaker 1: you don't mess with him. Darker side here at the 503 00:26:46,080 --> 00:26:49,360 Speaker 1: Animal Thunderdome. I do think we should mention it. The 504 00:26:49,400 --> 00:26:54,119 Speaker 1: grandma got killed by the alligator walking her dog long 505 00:26:55,520 --> 00:26:57,640 Speaker 1: she was down in Florida, down the four pierced area. Yeah, 506 00:26:57,640 --> 00:27:01,160 Speaker 1: it was really sad. It's all on video. So the 507 00:27:01,280 --> 00:27:03,240 Speaker 1: number of people and this is just kind of like 508 00:27:03,280 --> 00:27:06,560 Speaker 1: a PSA. I think the number of people who are 509 00:27:06,640 --> 00:27:10,879 Speaker 1: in Florida or places where there are alligators that walk 510 00:27:11,119 --> 00:27:15,680 Speaker 1: their small dogs along the water's edge is really kind 511 00:27:15,720 --> 00:27:19,480 Speaker 1: of extraordinary to me. Like, right, so that's what usually 512 00:27:19,560 --> 00:27:22,680 Speaker 1: brings that. Usually the alligators are coming out not after 513 00:27:22,800 --> 00:27:26,359 Speaker 1: the human, they're coming out after the dog. Remember that 514 00:27:26,400 --> 00:27:29,399 Speaker 1: one guy got his dog attacked and went in after 515 00:27:29,440 --> 00:27:31,280 Speaker 1: the alligator. Do you remember that story, the guy with 516 00:27:31,280 --> 00:27:32,879 Speaker 1: the cigar in his mouth and he kept Now, that 517 00:27:32,920 --> 00:27:36,439 Speaker 1: was a tiny that was a basically a baby alligator. 518 00:27:36,760 --> 00:27:40,800 Speaker 1: But this alligator, unfortunately, that's seven feet oh I think 519 00:27:40,800 --> 00:27:43,240 Speaker 1: they said it was twelve feet long. Oh, that alligator 520 00:27:43,280 --> 00:27:46,600 Speaker 1: should not have been in that neighborhood. Yeah, as a gill. 521 00:27:46,720 --> 00:27:50,399 Speaker 1: It was known in the neighborhood that there was a 522 00:27:50,440 --> 00:27:53,240 Speaker 1: twelve foot alligator in this neighborhood. But I got to 523 00:27:53,280 --> 00:27:56,480 Speaker 1: get it out. Yeah, you got no twelve foot alligators allowed. 524 00:27:56,600 --> 00:27:59,280 Speaker 1: That's a good rule. That's an important safety tip. I agree. 525 00:27:59,359 --> 00:28:03,200 Speaker 1: So anyway, So anyway, I wasn't going to go into 526 00:28:03,240 --> 00:28:05,159 Speaker 1: the alligator discussion. It was down here in Florida that 527 00:28:05,160 --> 00:28:06,840 Speaker 1: did happen. It was very, very sad. But on the 528 00:28:07,320 --> 00:28:10,480 Speaker 1: moose discussion, I can say, don't mess with the moose 529 00:28:10,680 --> 00:28:12,840 Speaker 1: and these two brothers. Not a scratch on them, by 530 00:28:12,840 --> 00:28:14,879 Speaker 1: the way, but plot lots of scratches on that. If 531 00:28:14,880 --> 00:28:17,840 Speaker 1: you see the video. Snowmobile did not do well in 532 00:28:17,880 --> 00:28:21,400 Speaker 1: this situation. Oh but the moose also didn't have his antlers, 533 00:28:21,440 --> 00:28:24,320 Speaker 1: which is that's the thing you want to at least 534 00:28:24,320 --> 00:28:27,080 Speaker 1: you're going against a moose without antlers. That was lucky. 535 00:28:27,119 --> 00:28:28,760 Speaker 1: I gotta. I'm glad you brought this up because I 536 00:28:28,800 --> 00:28:30,560 Speaker 1: got to make sure that my wife venmoed our guy 537 00:28:30,600 --> 00:28:34,240 Speaker 1: who was a listener, the tip because he couldn't take cash, 538 00:28:34,359 --> 00:28:35,760 Speaker 1: but he gave us his Venmo. I need to I'm 539 00:28:35,800 --> 00:28:38,320 Speaker 1: on that. Now, what could you do? And if he's 540 00:28:38,360 --> 00:28:40,160 Speaker 1: listening right now, and he's like, I've never got a tip. 541 00:28:40,200 --> 00:28:41,959 Speaker 1: It's my wife's fault. I told her to do it. 542 00:28:42,880 --> 00:28:45,280 Speaker 1: What could you do with nine hundred dollars in found money. 543 00:28:45,320 --> 00:28:47,560 Speaker 1: That's how much families on a Pure Talk cell phone 544 00:28:47,560 --> 00:28:50,360 Speaker 1: service planner saving right now. Think about this. Everybody's trying 545 00:28:50,360 --> 00:28:53,680 Speaker 1: to save money. Economy's not great, Inflation way higher than 546 00:28:53,720 --> 00:28:55,560 Speaker 1: it has been for most of the last forty years. 547 00:28:56,040 --> 00:28:59,080 Speaker 1: Basically the Biden administration has any disaster on its hand, 548 00:28:59,160 --> 00:29:01,440 Speaker 1: and all of you out there trying to save money, Well, 549 00:29:01,440 --> 00:29:04,640 Speaker 1: do you know the average family can save over nine 550 00:29:04,800 --> 00:29:07,440 Speaker 1: hundred dollars a year when they switch from Verizon AT 551 00:29:07,600 --> 00:29:12,280 Speaker 1: and T or T Mobile. Two our friends at Pure Talk, 552 00:29:12,360 --> 00:29:14,720 Speaker 1: and look, we love Pure Talk because they will take 553 00:29:14,720 --> 00:29:17,000 Speaker 1: care of you. They are an American based company and 554 00:29:17,680 --> 00:29:21,920 Speaker 1: they have absolutely fabulous customer service. Veteran owned. It's just 555 00:29:22,120 --> 00:29:24,760 Speaker 1: thirty bucks a month. You get unlimited talk, texts, plenty 556 00:29:24,800 --> 00:29:27,320 Speaker 1: of data plus Pure Talks, so sure you're gonna love 557 00:29:27,360 --> 00:29:29,840 Speaker 1: their service. They're backing it up with one hundred percent 558 00:29:29,920 --> 00:29:32,880 Speaker 1: money back guarantee, So instead of paying a fortune to 559 00:29:33,000 --> 00:29:35,480 Speaker 1: Verizon AT and T or T Mobile every month, they're 560 00:29:35,600 --> 00:29:38,720 Speaker 1: woke companies. You can cut your bill in half with 561 00:29:38,800 --> 00:29:42,360 Speaker 1: pure Talk, a company that respects your values, and they 562 00:29:42,400 --> 00:29:44,480 Speaker 1: will hook you up. This is really easy to do. 563 00:29:44,800 --> 00:29:47,480 Speaker 1: All you have to do grab your phones dial pound 564 00:29:47,480 --> 00:29:50,160 Speaker 1: two fifty say Clay and Buck to say fifty percent 565 00:29:50,280 --> 00:29:54,040 Speaker 1: off your first month. That's pound two five zero say 566 00:29:54,160 --> 00:29:58,479 Speaker 1: Clay and Buck. Pure Talk is simply smarter wireless again 567 00:29:59,000 --> 00:30:01,880 Speaker 1: pound two fi. If the pound two five zero say 568 00:30:01,920 --> 00:30:06,720 Speaker 1: Clay and Buck. Restrictions apply. Sea site for tales, learn 569 00:30:07,200 --> 00:30:10,400 Speaker 1: laugh and join us on the weekend on our Sunday 570 00:30:10,440 --> 00:30:13,320 Speaker 1: Hang with Clay and Buck podcast, Fight it on the 571 00:30:13,360 --> 00:30:17,200 Speaker 1: iHeart adem or wherever you get your podcasts. Close Enough Shop. 572 00:30:17,240 --> 00:30:20,040 Speaker 1: Tuesday edition of the program. Encourage all of you to 573 00:30:20,080 --> 00:30:23,000 Speaker 1: go subscribe to play Travis Buck Sexton Show podcast. You 574 00:30:23,040 --> 00:30:26,480 Speaker 1: can join the tens of millions of downloaders all over 575 00:30:26,520 --> 00:30:29,600 Speaker 1: the country and around the world. You'll get podcast exclusives, 576 00:30:29,680 --> 00:30:33,560 Speaker 1: and most importantly, you'll be able to find us anywhere 577 00:30:33,600 --> 00:30:35,520 Speaker 1: you may be in the country. I know it's spring 578 00:30:35,560 --> 00:30:38,920 Speaker 1: break season approaching rapidly and so a lot of you 579 00:30:38,960 --> 00:30:41,360 Speaker 1: may be outside of your usual locations. Maybe you just 580 00:30:41,360 --> 00:30:43,600 Speaker 1: want to keep tabs on everything, including me going to 581 00:30:43,680 --> 00:30:46,440 Speaker 1: Italy for the first time on Friday, and Buck, you 582 00:30:46,520 --> 00:30:48,680 Speaker 1: got a text message from me late last night that 583 00:30:48,840 --> 00:30:54,040 Speaker 1: you probably were not anticipating. So the band Lit, as 584 00:30:54,080 --> 00:30:58,520 Speaker 1: you will know, and my own Worst Enemy is the 585 00:30:58,520 --> 00:31:02,640 Speaker 1: theme song now for this show. And mister Clay Travis 586 00:31:02,800 --> 00:31:05,640 Speaker 1: was and there is video proof. Team are we putting 587 00:31:05,640 --> 00:31:07,200 Speaker 1: it up at Clay and Buck dot com so everybody 588 00:31:07,200 --> 00:31:10,600 Speaker 1: can see it already there at Clay and Buck dot com. 589 00:31:11,240 --> 00:31:14,960 Speaker 1: There is video proof not just of a performance by Lit, 590 00:31:15,240 --> 00:31:18,280 Speaker 1: which is really cool up on stage, of the song 591 00:31:18,360 --> 00:31:19,800 Speaker 1: that I think a lot of you now very much 592 00:31:19,800 --> 00:31:26,240 Speaker 1: associate with this program, but Clay Travis himself got on stage, 593 00:31:27,280 --> 00:31:33,600 Speaker 1: sang and danced. Wow, it is on video. And I'm 594 00:31:33,600 --> 00:31:37,480 Speaker 1: gonna tell you if you think you've pulled off or 595 00:31:37,640 --> 00:31:40,920 Speaker 1: seen some dad moves at a family member's wedding before 596 00:31:41,040 --> 00:31:44,040 Speaker 1: out on the dance floor, it's got nothing on Clay 597 00:31:44,080 --> 00:31:48,560 Speaker 1: Travis over here. There there was. It was a very special, 598 00:31:48,880 --> 00:31:51,200 Speaker 1: very special rhythm that Clay was showing off up there. 599 00:31:51,240 --> 00:31:53,960 Speaker 1: All right, you can't fake those funky moves, That's all 600 00:31:53,960 --> 00:31:56,280 Speaker 1: I can tell you. Well, first of all, how many 601 00:31:56,280 --> 00:31:58,280 Speaker 1: people have ever been called up on the stage to 602 00:31:58,480 --> 00:32:02,200 Speaker 1: sing a hit song with the band. So I saw 603 00:32:02,320 --> 00:32:05,479 Speaker 1: Jeremy pop Off, who is a good buddy now and 604 00:32:06,480 --> 00:32:07,880 Speaker 1: one of the band members, and we were at a 605 00:32:07,960 --> 00:32:10,840 Speaker 1: charity event here in Franklin, Tennessee, just south of Nashville, 606 00:32:10,840 --> 00:32:13,560 Speaker 1: where I live, and he said, hey, man, I'm gonna 607 00:32:13,560 --> 00:32:15,280 Speaker 1: call you up on the stage to sing my own 608 00:32:15,320 --> 00:32:18,000 Speaker 1: Worst Enemy with us. And I was like, no, no, 609 00:32:18,080 --> 00:32:21,160 Speaker 1: I can't. I'm true, I cannot sing. I am tone deaf, 610 00:32:21,200 --> 00:32:22,800 Speaker 1: like you do not want to. I'm not gonna get 611 00:32:22,880 --> 00:32:25,000 Speaker 1: up in wow. Anybody at karaoke like this is not 612 00:32:25,040 --> 00:32:26,840 Speaker 1: a good idea. So I was like, no, no, man. 613 00:32:27,200 --> 00:32:29,840 Speaker 1: So they come out on stage and he's like, hey, 614 00:32:29,920 --> 00:32:32,280 Speaker 1: is Clay Travis still here in the audience. The lights 615 00:32:32,360 --> 00:32:35,479 Speaker 1: come on. My wife is like, no, do not, do 616 00:32:35,600 --> 00:32:38,200 Speaker 1: not go up on the stage. Do not do it. 617 00:32:38,440 --> 00:32:40,200 Speaker 1: And I was like, well, they're calling me out to 618 00:32:40,240 --> 00:32:42,960 Speaker 1: come up. So I went up on the stage. I 619 00:32:43,040 --> 00:32:45,280 Speaker 1: was sober. Should have had way more to drink if 620 00:32:45,320 --> 00:32:46,360 Speaker 1: I had known that I was going to be on 621 00:32:46,360 --> 00:32:48,920 Speaker 1: the stage with a rock band. And you know, there 622 00:32:48,920 --> 00:32:50,840 Speaker 1: are several hundred people in the crowd and all the 623 00:32:50,840 --> 00:32:52,920 Speaker 1: cell phones come up and I'm like, oh man, I'm 624 00:32:52,920 --> 00:32:56,080 Speaker 1: gonna get memed like crazy. But I did talk to 625 00:32:56,080 --> 00:32:58,160 Speaker 1: all the crowd is a great charity event, and I 626 00:32:58,240 --> 00:33:01,000 Speaker 1: got the link to the charity up in my Twitter feed. 627 00:33:01,000 --> 00:33:04,280 Speaker 1: You can go through and look at it. Um. But uh, 628 00:33:04,600 --> 00:33:07,120 Speaker 1: there's tons of great musicians that were playing there last night. 629 00:33:07,440 --> 00:33:09,360 Speaker 1: But the audience was filled with a lot of our 630 00:33:09,400 --> 00:33:12,560 Speaker 1: listeners and uh, and I just told the story about 631 00:33:12,600 --> 00:33:14,880 Speaker 1: how you know they are big fans of Rush, and 632 00:33:14,880 --> 00:33:18,000 Speaker 1: they were super excited that their song could be associated 633 00:33:18,000 --> 00:33:20,880 Speaker 1: with the show. And uh, and then we went right 634 00:33:20,920 --> 00:33:26,720 Speaker 1: into my own Worst Hero. We love that we have enemy. Yeah, 635 00:33:26,760 --> 00:33:29,000 Speaker 1: we love that we have my own worst Hero too. 636 00:33:29,520 --> 00:33:32,680 Speaker 1: M a theme song that you know, the the lead singer, 637 00:33:33,120 --> 00:33:36,440 Speaker 1: Jeremy pop Up, as you said, loves America and appreciates 638 00:33:36,440 --> 00:33:39,000 Speaker 1: and supports the show. That that's very nice because, as 639 00:33:39,000 --> 00:33:41,480 Speaker 1: a lot of people know in the world of music, unfortunately, 640 00:33:42,440 --> 00:33:46,000 Speaker 1: you know, he Swift for all of the all the 641 00:33:46,480 --> 00:33:49,840 Speaker 1: talent that Taylor Swift has our politics not where we 642 00:33:49,880 --> 00:33:53,200 Speaker 1: need them to be, among many, many, many others. No doubt, 643 00:33:53,280 --> 00:33:55,560 Speaker 1: I think I've told this story, maybe I haven't told 644 00:33:55,600 --> 00:33:57,520 Speaker 1: it on the air. Tommy, I know, has told this 645 00:33:57,640 --> 00:34:00,960 Speaker 1: story so back in twenty twenty, even in Nashville Buck. 646 00:34:01,640 --> 00:34:05,240 Speaker 1: We were out watching the Alabama LSU football game. Bars 647 00:34:05,280 --> 00:34:07,600 Speaker 1: were still forced to close I think at like ten o'clock, 648 00:34:08,040 --> 00:34:11,160 Speaker 1: So we went back to their house to continue, like 649 00:34:11,160 --> 00:34:13,320 Speaker 1: just as ten o'clock, we want to watch more college football, 650 00:34:13,360 --> 00:34:18,320 Speaker 1: have drinks. This is in November of twenty twenty, I think. 651 00:34:19,239 --> 00:34:23,600 Speaker 1: And we go back to their house and there's probably 652 00:34:23,600 --> 00:34:26,080 Speaker 1: fifteen or twenty people there. I mean, it's not, you know, 653 00:34:26,200 --> 00:34:28,560 Speaker 1: a big party by any stretch of the imagination. And 654 00:34:28,760 --> 00:34:31,280 Speaker 1: everybody ubered, so it's not like there was a massive 655 00:34:31,320 --> 00:34:34,640 Speaker 1: neighborhood pile up of cars or anything. The neighbors called 656 00:34:34,640 --> 00:34:40,720 Speaker 1: the police. The police came and arrested the homeowner for 657 00:34:40,920 --> 00:34:44,480 Speaker 1: having people too many people in his house during COVID. 658 00:34:46,040 --> 00:34:48,719 Speaker 1: The homeowner one of the band members of Lit. So 659 00:34:48,760 --> 00:34:51,560 Speaker 1: it's me Tommy Larin. There's like, I don't know, four 660 00:34:51,680 --> 00:34:55,759 Speaker 1: or five musicians there in the group, musicians people might recognize, 661 00:34:55,760 --> 00:35:00,359 Speaker 1: although you guys don't. They didn't just site made him 662 00:35:00,360 --> 00:35:03,239 Speaker 1: take him. They took a photo, like they arrested him. 663 00:35:03,280 --> 00:35:06,120 Speaker 1: Like I don't know if they officially took him into 664 00:35:06,960 --> 00:35:09,440 Speaker 1: like booking, but they took a I don't know the 665 00:35:09,520 --> 00:35:12,760 Speaker 1: specific details. I know that he was arrested and charged. 666 00:35:12,960 --> 00:35:14,920 Speaker 1: I don't know if they physically made him like go 667 00:35:14,960 --> 00:35:17,080 Speaker 1: down and bail out. I know they cuffed him in 668 00:35:17,200 --> 00:35:21,399 Speaker 1: Tennessee in Nashville in his front yard for having too 669 00:35:21,400 --> 00:35:24,839 Speaker 1: many people in his house. In his house, and I'm 670 00:35:24,880 --> 00:35:26,600 Speaker 1: talking in like fifteen or twenty. It wasn't like there 671 00:35:26,640 --> 00:35:29,840 Speaker 1: was two thousand people in a house party. And he 672 00:35:29,960 --> 00:35:32,239 Speaker 1: later had he pled guilty I think, to a misdemeanor, 673 00:35:32,280 --> 00:35:34,160 Speaker 1: and they wiped it off of his record later. But 674 00:35:34,239 --> 00:35:37,960 Speaker 1: this is this is why personally, I can't allow people 675 00:35:38,000 --> 00:35:41,879 Speaker 1: to forget what they did during COVID because I know 676 00:35:41,920 --> 00:35:44,360 Speaker 1: what they would do the minute they had the ability 677 00:35:44,400 --> 00:35:47,640 Speaker 1: to do it again. Clay people in my building when 678 00:35:47,640 --> 00:35:51,480 Speaker 1: I lived on fifty third Street in Manhattan, that they 679 00:35:51,840 --> 00:35:54,600 Speaker 1: they were constantly complaining about me. I didn't even know this. 680 00:35:55,080 --> 00:35:57,560 Speaker 1: And the front desk one day said, you know, there 681 00:35:57,560 --> 00:35:59,680 Speaker 1: are like five hundred units in this building or four 682 00:35:59,719 --> 00:36:02,160 Speaker 1: hundred on the units of this building. You and some 683 00:36:02,239 --> 00:36:05,160 Speaker 1: German guy are the only ones who refuse to wear 684 00:36:05,239 --> 00:36:08,680 Speaker 1: masks in the entire building, and we get a constant 685 00:36:08,680 --> 00:36:11,879 Speaker 1: complaints about you, but we don't actually tell anybody because 686 00:36:11,880 --> 00:36:15,080 Speaker 1: you're nice. To us basically, and I was like, oh, okay, nice, 687 00:36:15,120 --> 00:36:18,080 Speaker 1: I'll take it. I mean, I just you know, we 688 00:36:18,160 --> 00:36:20,439 Speaker 1: talk about red states and all those things. I mean, look, 689 00:36:20,440 --> 00:36:23,200 Speaker 1: I'm born and raised Nashville. I would have never believed 690 00:36:23,239 --> 00:36:26,040 Speaker 1: that the police could come and arrest someone for having 691 00:36:26,120 --> 00:36:29,040 Speaker 1: fifteen or twenty people in his home on a Saturday 692 00:36:29,120 --> 00:36:32,000 Speaker 1: night at like ten thirty. You know, it's not even 693 00:36:32,040 --> 00:36:34,279 Speaker 1: matt late, and certainly it wasn't loud. It isn't like 694 00:36:34,280 --> 00:36:37,160 Speaker 1: there was a concert going on. But that's where we 695 00:36:37,160 --> 00:36:40,000 Speaker 1: were until my last day's play. I'm just sitting around. 696 00:36:40,080 --> 00:36:44,000 Speaker 1: I'm gonna hear you know, maybe you should consider two masks. 697 00:36:44,560 --> 00:36:49,560 Speaker 1: I think that the data shows mitigation improves from three 698 00:36:49,680 --> 00:36:54,480 Speaker 1: or perhaps four masks and fifteen COVID shots. I will 699 00:36:54,520 --> 00:36:57,879 Speaker 1: go to my grave hearing that little Tyrant's voice. That's 700 00:36:57,920 --> 00:36:59,960 Speaker 1: how perfect lit is for the show. They got arrest 701 00:37:00,040 --> 00:37:00,839 Speaker 1: that OVERCOVID track