1 00:00:00,160 --> 00:00:03,400 Speaker 1: Welcome to today's edition of the Clay, Travis and Buck 2 00:00:03,440 --> 00:00:04,720 Speaker 1: Sexton Show podcast. 3 00:00:05,280 --> 00:00:08,560 Speaker 2: Thursday edition of Clay and Buck kicks off right now. 4 00:00:08,600 --> 00:00:10,000 Speaker 3: Everybody, thank you for being with us. 5 00:00:10,600 --> 00:00:14,400 Speaker 2: I finally made it back to Miami, Clay after what 6 00:00:14,520 --> 00:00:17,439 Speaker 2: was it twelve thousand flights canceled earlier in the week. 7 00:00:17,760 --> 00:00:21,440 Speaker 2: Things getting a little crazy there and lots of people 8 00:00:21,440 --> 00:00:22,279 Speaker 2: affected by this. 9 00:00:22,480 --> 00:00:24,279 Speaker 3: What's going on with the FAA? 10 00:00:24,840 --> 00:00:27,240 Speaker 2: Is it Mayor Pete bouda judge supposed to be handling 11 00:00:27,280 --> 00:00:31,560 Speaker 2: this kind of stuff. Transportation secretary, He's doing a heck 12 00:00:31,600 --> 00:00:36,600 Speaker 2: of a job. He's the most infamous transportation secretary, maybe 13 00:00:36,640 --> 00:00:38,839 Speaker 2: the only one anyone could even name in recent memory. 14 00:00:39,400 --> 00:00:41,680 Speaker 2: But we will dive into a little bit of what's 15 00:00:41,720 --> 00:00:45,639 Speaker 2: going on there later on. We also have very interesting 16 00:00:45,800 --> 00:00:49,960 Speaker 2: case in New York City of a man who was 17 00:00:50,000 --> 00:00:52,120 Speaker 2: defending himself and his girlfriend with a knife who was 18 00:00:52,240 --> 00:00:54,200 Speaker 2: arrested on the subway. 19 00:00:54,640 --> 00:00:55,320 Speaker 3: This happened. 20 00:00:55,600 --> 00:00:58,320 Speaker 2: He was arrested for stabbing to death a guy that 21 00:00:58,400 --> 00:01:02,440 Speaker 2: attacked him and his girlfriend and he has just had 22 00:01:02,560 --> 00:01:06,640 Speaker 2: charges dismissed, which is interesting considering the Daniel Penny case 23 00:01:06,720 --> 00:01:10,240 Speaker 2: also making its way through the courts. We will absolutely 24 00:01:10,319 --> 00:01:12,800 Speaker 2: discuss that, but I think we should hop right into this. 25 00:01:12,840 --> 00:01:14,160 Speaker 2: We've got a lot of things to talk about today. 26 00:01:15,319 --> 00:01:18,240 Speaker 2: Senator Tim Scott, presidential candidate, will be with us later. 27 00:01:18,360 --> 00:01:22,119 Speaker 2: Chris Christy, not joining today. 28 00:01:22,040 --> 00:01:23,440 Speaker 3: Says he doesn't feel well. 29 00:01:23,560 --> 00:01:26,600 Speaker 2: Clay will give the benefit of the doubt on this 30 00:01:26,640 --> 00:01:29,640 Speaker 2: one and just say, Okay, I do believe he was 31 00:01:29,680 --> 00:01:32,400 Speaker 2: on TV this morning, but if he's really not feeling well, 32 00:01:33,000 --> 00:01:35,199 Speaker 2: we will gladly have him on next week to answer 33 00:01:35,280 --> 00:01:35,880 Speaker 2: some questions. 34 00:01:36,280 --> 00:01:39,200 Speaker 1: Feeling you have to feel to not do a fifteen 35 00:01:39,240 --> 00:01:40,759 Speaker 1: minute radio interview. 36 00:01:40,959 --> 00:01:44,800 Speaker 2: Really really sick, like no voice problem. I think short 37 00:01:44,840 --> 00:01:49,160 Speaker 2: of no voice, it's probably inexcusable. So but we look 38 00:01:49,320 --> 00:01:52,480 Speaker 2: benefit of the doubt because we're gentlemen. We're just gonna 39 00:01:52,640 --> 00:01:54,800 Speaker 2: it's not We don't think he's ducking us here. This 40 00:01:54,840 --> 00:01:59,720 Speaker 2: is a great opportunity for any Republican presidential contender, for 41 00:01:59,760 --> 00:02:00,600 Speaker 2: any candidate. 42 00:02:00,960 --> 00:02:03,800 Speaker 1: Yeah, and our audience is so big RFK Junior, I mean, like, 43 00:02:03,840 --> 00:02:05,960 Speaker 1: why would you not want to talk to this audience? 44 00:02:06,200 --> 00:02:07,360 Speaker 3: So a little strange. 45 00:02:07,400 --> 00:02:08,880 Speaker 2: I just want to tell you because we promoted it 46 00:02:08,919 --> 00:02:10,840 Speaker 2: and we did have him booked, and he's backed out. 47 00:02:10,880 --> 00:02:14,760 Speaker 2: He's claiming health reasons and you know, maybe so we're okay, 48 00:02:14,840 --> 00:02:17,360 Speaker 2: we're just gonna we're gonna take this one this time 49 00:02:17,480 --> 00:02:20,200 Speaker 2: as the rain check, and we should be having them 50 00:02:20,240 --> 00:02:21,160 Speaker 2: on the next week or two. 51 00:02:21,240 --> 00:02:21,639 Speaker 3: All Right. 52 00:02:21,720 --> 00:02:27,440 Speaker 2: The big story today, by far, huge breaking news from 53 00:02:27,560 --> 00:02:31,880 Speaker 2: just the last two hours or so, is that affirmative 54 00:02:31,919 --> 00:02:39,200 Speaker 2: action in college admissions has been resoundingly ruled unconstitutional, a 55 00:02:39,360 --> 00:02:42,799 Speaker 2: violation of the Equal Protection Clause. A six ' to 56 00:02:42,800 --> 00:02:47,200 Speaker 2: three decision coming down. I was ripping through its speed 57 00:02:47,240 --> 00:02:49,639 Speaker 2: reading as fast as I could today when this thing 58 00:02:49,800 --> 00:02:55,160 Speaker 2: came out, and the Democrats are obviously very upset about this. 59 00:02:55,320 --> 00:02:58,280 Speaker 2: Joe Biden, I believe, is going to speak about this 60 00:02:58,440 --> 00:03:01,600 Speaker 2: decision to Yeah. Yes, President Biden is going to give 61 00:03:01,639 --> 00:03:04,960 Speaker 2: remarks at twelve thirty Eastern, so the bottom of this 62 00:03:05,080 --> 00:03:10,440 Speaker 2: hour he may be addressing everyone. Clay, it's pretty straightforward 63 00:03:10,440 --> 00:03:13,919 Speaker 2: when you read, and I'm very curious hear your take 64 00:03:13,960 --> 00:03:15,440 Speaker 2: on this. I would say that one of the first 65 00:03:15,480 --> 00:03:19,600 Speaker 2: times that I realized that the Left just makes up 66 00:03:19,639 --> 00:03:24,239 Speaker 2: things and is dishonest. Early on in my political formulation 67 00:03:24,840 --> 00:03:27,520 Speaker 2: was on affirmative action. As a high school kid, I 68 00:03:27,560 --> 00:03:30,040 Speaker 2: saw I had the Asian kids in my class. I 69 00:03:30,080 --> 00:03:32,280 Speaker 2: went to a technically like a school for the gifted. 70 00:03:32,280 --> 00:03:34,880 Speaker 2: I had Asian kids in my class who were, like, 71 00:03:35,640 --> 00:03:39,600 Speaker 2: you know, geniuses in their respective fields of study, and 72 00:03:39,720 --> 00:03:42,640 Speaker 2: they were having very different college lists and very different 73 00:03:42,640 --> 00:03:45,360 Speaker 2: admissions from some of the other minorities in the class, 74 00:03:45,520 --> 00:03:49,240 Speaker 2: who we knew were much lower down in the class 75 00:03:49,280 --> 00:03:52,320 Speaker 2: rankings by GPA. And that was when you say, hold on, 76 00:03:52,360 --> 00:03:52,920 Speaker 2: why is this fair? 77 00:03:52,960 --> 00:03:55,520 Speaker 3: It's not fair. Obviously the whole thing is not fair, 78 00:03:56,280 --> 00:03:57,120 Speaker 3: and we can get into it. 79 00:03:57,200 --> 00:03:58,880 Speaker 2: And for you, what was the single For me, there 80 00:03:58,960 --> 00:04:03,520 Speaker 2: was there was a line eliminating racial discrimination means eliminating 81 00:04:03,560 --> 00:04:03,920 Speaker 2: all of it. 82 00:04:04,520 --> 00:04:07,400 Speaker 3: That was from the majority opinion. Yeah. 83 00:04:07,520 --> 00:04:10,000 Speaker 1: What stood out to me is and there's not going 84 00:04:10,120 --> 00:04:13,080 Speaker 1: to be I don't think a vast amount of attention 85 00:04:13,200 --> 00:04:19,000 Speaker 1: on this because it's always characterized these cases are as 86 00:04:19,160 --> 00:04:22,160 Speaker 1: if it's you know, white black. Really this is about 87 00:04:22,160 --> 00:04:26,640 Speaker 1: Asian discrimination. And here's what stood out to me. There 88 00:04:26,720 --> 00:04:30,560 Speaker 1: is a penalty of around one hundred and forty SAT 89 00:04:30,760 --> 00:04:36,120 Speaker 1: points on an Asian applicant to an elite college. That is, 90 00:04:36,880 --> 00:04:42,640 Speaker 1: you get substantial detraction based on being Asian when it 91 00:04:42,720 --> 00:04:46,080 Speaker 1: comes to admission, and if you are Hispanic, you get 92 00:04:46,080 --> 00:04:49,920 Speaker 1: one hundred and thirty point bonus on average, and if 93 00:04:49,920 --> 00:04:53,560 Speaker 1: you are black, you get a three hundred and ten 94 00:04:53,960 --> 00:04:58,200 Speaker 1: point bonus. And here's another stat fact that is out 95 00:04:58,240 --> 00:05:02,480 Speaker 1: there before we get into the actual reasoning and everything 96 00:05:02,520 --> 00:05:05,359 Speaker 1: else associated with it. Well, two more things, Buck, I 97 00:05:05,360 --> 00:05:09,200 Speaker 1: would say. One, here is a stat This is from 98 00:05:09,279 --> 00:05:12,880 Speaker 1: Greg Price, Harvard's affirmative action policies, and I'm reading from 99 00:05:12,960 --> 00:05:17,440 Speaker 1: his tweet. A black student in the fortieth percentile of 100 00:05:17,480 --> 00:05:21,760 Speaker 1: their academic index was more likely to get in than 101 00:05:21,800 --> 00:05:25,480 Speaker 1: an Asian student in the one hundredth percentile. 102 00:05:25,839 --> 00:05:27,360 Speaker 3: I mean, think about how crazy that is. 103 00:05:27,800 --> 00:05:31,880 Speaker 1: Black students in the fiftieth percentile are more likely to 104 00:05:31,920 --> 00:05:35,720 Speaker 1: get in than white students at the very top. And 105 00:05:35,760 --> 00:05:40,599 Speaker 1: then additionally, you're going to see all sorts of craziness, 106 00:05:41,000 --> 00:05:43,880 Speaker 1: including as you mentioned Joe Biden speaking at twelve thirty 107 00:05:43,920 --> 00:05:48,440 Speaker 1: Eastern about twenty minutes from now. Huge majorities in the 108 00:05:48,560 --> 00:05:53,000 Speaker 1: United States believe this Supreme Court decision is the right one, Buck. 109 00:05:53,400 --> 00:05:57,719 Speaker 1: Seventy four percent of Americans believe that race should not 110 00:05:57,800 --> 00:06:01,480 Speaker 1: be used as a factor in public collegen diversity admissions, 111 00:06:01,520 --> 00:06:06,400 Speaker 1: including sixty percent of Democrats, seventy what is it, seventy 112 00:06:06,480 --> 00:06:10,240 Speaker 1: five percent of Independence, and eighty eight percent of Republicans. 113 00:06:10,360 --> 00:06:13,080 Speaker 1: And you'll remember, because we talked about this on the program, 114 00:06:13,760 --> 00:06:19,120 Speaker 1: the state of California overwhelmingly rejected the return of affirmative 115 00:06:19,160 --> 00:06:24,680 Speaker 1: action in the twenty twenty two midterms by massive majorities. 116 00:06:25,279 --> 00:06:28,920 Speaker 1: So while you're going to see a lot of left 117 00:06:28,960 --> 00:06:33,320 Speaker 1: wing activism reacting to this, it's actually a decision that 118 00:06:33,360 --> 00:06:37,120 Speaker 1: the vast majority of the American public, Republican, Democrat, and 119 00:06:37,200 --> 00:06:40,680 Speaker 1: Independent agree with. And this, to me is is indicative 120 00:06:40,720 --> 00:06:45,760 Speaker 1: buck of how often the talking points of left wing 121 00:06:45,839 --> 00:06:50,680 Speaker 1: policy are super far left wing when it comes to 122 00:06:51,200 --> 00:06:53,520 Speaker 1: what they are saying. It doesn't even reflect what the 123 00:06:53,560 --> 00:06:54,919 Speaker 1: majority of the party believes. 124 00:06:55,560 --> 00:07:00,760 Speaker 2: Justice Roberts, writing for the Majority, had a real peace 125 00:07:00,839 --> 00:07:05,479 Speaker 2: by piece demolition of this. There's the what I would 126 00:07:05,560 --> 00:07:11,960 Speaker 2: argue are the very purely almost legal formalism aspects of 127 00:07:12,000 --> 00:07:16,040 Speaker 2: this or the mechanistic, well starry decisius, this was previously decided. 128 00:07:16,040 --> 00:07:17,560 Speaker 3: There's some of this back and forth, and then. 129 00:07:17,480 --> 00:07:20,280 Speaker 2: There's just the what's really going on here component of it, 130 00:07:20,320 --> 00:07:24,400 Speaker 2: like what's actually happening and on the what's actually happening? 131 00:07:25,080 --> 00:07:27,800 Speaker 2: Both they lose on both counts. The pro affirmative action 132 00:07:27,960 --> 00:07:30,119 Speaker 2: side of this, and I read as much of Soda 133 00:07:30,160 --> 00:07:34,600 Speaker 2: my Ore's dissent as I could stomach. But the how 134 00:07:34,640 --> 00:07:37,480 Speaker 2: this is implemented in practice versus what they said it 135 00:07:37,480 --> 00:07:39,480 Speaker 2: would be, that's where that's when you realize the whole 136 00:07:39,480 --> 00:07:43,040 Speaker 2: thing is a scam. For one, they rely on a 137 00:07:43,080 --> 00:07:47,400 Speaker 2: precedent that says that there would be no need for 138 00:07:47,440 --> 00:07:49,760 Speaker 2: this in twenty five years. They were arguing that they 139 00:07:49,800 --> 00:07:51,760 Speaker 2: should have a few more years of this, four more 140 00:07:51,840 --> 00:07:54,840 Speaker 2: years of this, as if that would somehow address anything right. 141 00:07:54,880 --> 00:07:57,320 Speaker 2: That was one of the one of the ways that 142 00:07:57,320 --> 00:08:02,040 Speaker 2: the pro affirmative action side was going at this. The 143 00:08:02,080 --> 00:08:05,600 Speaker 2: diversity benefits to an education, I mean, this is something 144 00:08:05,600 --> 00:08:07,720 Speaker 2: that you would put on a slide at some kind 145 00:08:07,760 --> 00:08:10,360 Speaker 2: of you know, HR meeting or something. 146 00:08:10,400 --> 00:08:12,360 Speaker 3: You'd say, well, what does that even mean? It means nothing. 147 00:08:12,800 --> 00:08:15,880 Speaker 2: It can't be measured. So when they say that it 148 00:08:15,920 --> 00:08:19,080 Speaker 2: has to have strict scrutiny applied, which is very specific 149 00:08:19,200 --> 00:08:21,760 Speaker 2: legal tests for why you would be able to take 150 00:08:21,880 --> 00:08:25,680 Speaker 2: race into account at all, strict scrutiny on the applied, 151 00:08:25,760 --> 00:08:30,080 Speaker 2: so that you can then meet the educational benefits of diversity. 152 00:08:30,840 --> 00:08:32,439 Speaker 3: What does that mean? It's meaningless. 153 00:08:32,440 --> 00:08:33,920 Speaker 2: I mean, this is a meaningless, and when you start 154 00:08:33,920 --> 00:08:37,319 Speaker 2: to look at it becomes even more absurd. The categories 155 00:08:37,320 --> 00:08:39,800 Speaker 2: are overbroad. It's another thing they brought up. I mean 156 00:08:40,600 --> 00:08:43,120 Speaker 2: that they treat for the purposes of admission. Everyone should 157 00:08:43,200 --> 00:08:46,439 Speaker 2: understand this. If you are an immigrant kid from South 158 00:08:46,520 --> 00:08:49,840 Speaker 2: Korea whose parents arrive here and speak no English, you 159 00:08:49,920 --> 00:08:53,520 Speaker 2: are treated the same way as for the purposes of 160 00:08:53,559 --> 00:08:58,600 Speaker 2: admission as a Pakistani, you know, kid who maybe has 161 00:08:58,679 --> 00:09:01,560 Speaker 2: parents who have like founded some company is worth a 162 00:09:01,559 --> 00:09:05,320 Speaker 2: billion dollars, doesn't matter. Asian and Asian very far away, 163 00:09:05,679 --> 00:09:09,160 Speaker 2: very different cultures, very different backgrounds, and different ethnicities. But 164 00:09:09,240 --> 00:09:12,439 Speaker 2: Asian is Asian, which is that's why this whole thing 165 00:09:12,440 --> 00:09:13,960 Speaker 2: really fell apart of me. You brought us up on 166 00:09:13,960 --> 00:09:17,160 Speaker 2: the Asian side of it relies on stereotyping, which is 167 00:09:17,200 --> 00:09:19,600 Speaker 2: also true. Oh, if you are black, you'll bring this 168 00:09:19,640 --> 00:09:22,320 Speaker 2: to the conversation. If you're Asian, you'll bring that to 169 00:09:22,360 --> 00:09:26,760 Speaker 2: the conversation. That's absurd. You can't make these determinations. And 170 00:09:26,800 --> 00:09:28,760 Speaker 2: then the fact that it was negatively used against some 171 00:09:28,840 --> 00:09:32,040 Speaker 2: These are kind of the main that they said, Oh, 172 00:09:32,080 --> 00:09:34,640 Speaker 2: it's not that we take it against you that you're Asian. 173 00:09:34,679 --> 00:09:37,959 Speaker 3: We're just gonna give more points to black and Hispanic applicants. Well, 174 00:09:38,160 --> 00:09:39,839 Speaker 3: zero sum. Yeah. 175 00:09:39,840 --> 00:09:42,920 Speaker 1: What it does is it presumes that you are a 176 00:09:43,000 --> 00:09:47,800 Speaker 1: perfect representative of your race on a socioeconomic basis. We 177 00:09:47,840 --> 00:09:52,599 Speaker 1: all know that, for instance, Barack Obama and Michelle Obama's 178 00:09:52,760 --> 00:09:57,400 Speaker 1: kids are far more advantaged than almost anybody white, Black, Asian, 179 00:09:57,480 --> 00:10:00,920 Speaker 1: or Hispanic in the country. Yet they would count as 180 00:10:01,000 --> 00:10:04,840 Speaker 1: black and be given tremendous advantages for purposes of admissions. 181 00:10:05,280 --> 00:10:10,319 Speaker 1: I would say, buck, So if I were they gave 182 00:10:10,320 --> 00:10:12,720 Speaker 1: me a magic one, right, and they said, hey, how 183 00:10:12,720 --> 00:10:16,680 Speaker 1: would you handle college admissions? I do think there should 184 00:10:16,720 --> 00:10:22,640 Speaker 1: be some element of consideration for socioeconomic status. 185 00:10:22,960 --> 00:10:25,040 Speaker 3: Right. It is, I believe. 186 00:10:25,120 --> 00:10:30,079 Speaker 1: Harder for someone from the lowest quartile, right, the bottom 187 00:10:30,120 --> 00:10:33,280 Speaker 1: twenty five percent of income to rise to the level 188 00:10:33,360 --> 00:10:35,880 Speaker 1: of getting into Harvard than it is to somebody from 189 00:10:36,000 --> 00:10:39,120 Speaker 1: the ninety a tamad percent dile. And in fact, if 190 00:10:39,200 --> 00:10:42,640 Speaker 1: you go look for instance at Ivy League data, buck 191 00:10:43,679 --> 00:10:48,360 Speaker 1: overwhelmingly Ivy League institutions are made up of super wealthy people, 192 00:10:48,559 --> 00:10:52,520 Speaker 1: no matter who their what their background is. Right, there 193 00:10:52,559 --> 00:10:55,640 Speaker 1: are a lot of black kids walking around at Harvard 194 00:10:55,640 --> 00:10:59,280 Speaker 1: whose moms and dads are doctors and lawyers, yet they 195 00:10:59,280 --> 00:11:03,040 Speaker 1: get a benefit because of their race. I do think 196 00:11:03,080 --> 00:11:07,280 Speaker 1: there is socioeconomic lack of opportunity in this country, right. 197 00:11:07,320 --> 00:11:09,840 Speaker 1: It is harder to rise. This is factual. It is 198 00:11:09,880 --> 00:11:12,760 Speaker 1: harder to rise from the bottom ten percent to get 199 00:11:12,760 --> 00:11:16,200 Speaker 1: into Harvard or any other elite academic institution. I think 200 00:11:16,200 --> 00:11:19,160 Speaker 1: that could be taken into consideration. I also, I don't 201 00:11:19,160 --> 00:11:21,680 Speaker 1: know what you think about this. I actually wish that 202 00:11:21,880 --> 00:11:27,480 Speaker 1: and would support eliminating legacy admissions. I understand people out 203 00:11:27,480 --> 00:11:29,640 Speaker 1: there who argue for it. I don't think just because 204 00:11:29,640 --> 00:11:32,040 Speaker 1: your mom or dad got into a school that you 205 00:11:32,080 --> 00:11:35,199 Speaker 1: should get a substantial In my opinion, that you should 206 00:11:35,240 --> 00:11:38,320 Speaker 1: get a substantial benefit because your mom or dad went there, 207 00:11:39,280 --> 00:11:42,880 Speaker 1: and that obviously goes on in a big way. I 208 00:11:42,920 --> 00:11:45,640 Speaker 1: don't think that makes sense either. I just wish we had, 209 00:11:46,120 --> 00:11:49,680 Speaker 1: in many ways as meritocratic of a system as we 210 00:11:49,800 --> 00:11:53,280 Speaker 1: possibly could. I also think we focus, and I'm curious 211 00:11:53,320 --> 00:11:56,440 Speaker 1: what you would say about this way too much on 212 00:11:56,480 --> 00:11:58,840 Speaker 1: where people go to college. And I'll say this as 213 00:11:58,840 --> 00:11:59,680 Speaker 1: somebody who went through it. 214 00:11:59,800 --> 00:11:59,959 Speaker 3: Win. 215 00:12:00,120 --> 00:12:02,679 Speaker 1: We went to elite schools, but by the time you're 216 00:12:02,720 --> 00:12:05,360 Speaker 1: out of your twenties, no one cares went to college 217 00:12:05,360 --> 00:12:08,400 Speaker 1: has no impact whatsoever on your success once you're out 218 00:12:08,400 --> 00:12:09,080 Speaker 1: of your twenties. 219 00:12:09,240 --> 00:12:12,160 Speaker 3: So I really mean this, and I say this. 220 00:12:13,800 --> 00:12:17,559 Speaker 2: With the reflection the sort of self understanding and what 221 00:12:17,720 --> 00:12:19,320 Speaker 2: you bring to this as well. Of Yeah, we both 222 00:12:19,360 --> 00:12:21,400 Speaker 2: went to institutions that were supposed to be able to 223 00:12:21,400 --> 00:12:24,680 Speaker 2: help us and elevate us in the job market, et cetera. 224 00:12:26,120 --> 00:12:27,760 Speaker 2: When I went to the CIA, mean, I was working 225 00:12:27,800 --> 00:12:33,040 Speaker 2: along people who a lot of them came from state schools, 226 00:12:33,440 --> 00:12:37,520 Speaker 2: A lot of them came from programs where they had 227 00:12:37,520 --> 00:12:39,120 Speaker 2: to do, you know, extra We had a lot of 228 00:12:39,240 --> 00:12:41,040 Speaker 2: obviously a lot of veterans also who did later in 229 00:12:41,080 --> 00:12:44,320 Speaker 2: life study finish their degrees later. On my point here 230 00:12:44,400 --> 00:12:47,760 Speaker 2: just being there's many ways to get there, there's many options, 231 00:12:47,800 --> 00:12:52,600 Speaker 2: there's many pathways, and I think that the value of 232 00:12:52,640 --> 00:12:57,040 Speaker 2: the elite degree, the quote unquote elite degree, is much 233 00:12:57,120 --> 00:12:59,720 Speaker 2: less than it once was. I also think that because 234 00:12:59,760 --> 00:13:02,800 Speaker 2: so many people are getting four year degrees, the notion 235 00:13:02,960 --> 00:13:04,680 Speaker 2: that it is inherently and this takes us to the 236 00:13:05,320 --> 00:13:07,360 Speaker 2: student loan issue, right, that all these people are told 237 00:13:07,400 --> 00:13:08,959 Speaker 2: you need to get a college degree or else you'll 238 00:13:08,960 --> 00:13:11,680 Speaker 2: never have the kind of earnings you should have. It's 239 00:13:11,679 --> 00:13:13,480 Speaker 2: not true, there are a lot of people that you know, 240 00:13:13,480 --> 00:13:16,320 Speaker 2: when you say, when I think Clay, there's a little 241 00:13:16,320 --> 00:13:18,439 Speaker 2: bit of a oh, but we should talk more about 242 00:13:18,480 --> 00:13:20,880 Speaker 2: trade school and the left will say, oh, you know, 243 00:13:20,920 --> 00:13:23,720 Speaker 2: the right wingers don't really take that seriously. Yeah, like 244 00:13:23,720 --> 00:13:26,280 Speaker 2: everyone should learn to be, you know, an air conditioning 245 00:13:26,320 --> 00:13:30,680 Speaker 2: repair man or something. It's like skilled electricians make hundreds 246 00:13:30,679 --> 00:13:33,520 Speaker 2: of thousands of dollars a year, right and don't have 247 00:13:33,960 --> 00:13:36,680 Speaker 2: one hundred and fifty grand of college debt or whatever 248 00:13:36,679 --> 00:13:39,840 Speaker 2: it may be. You know, people that can do some 249 00:13:39,960 --> 00:13:43,760 Speaker 2: of the trades and grow, and there's always the managerial track. 250 00:13:43,800 --> 00:13:45,480 Speaker 2: I mean, there's just a lot of ways to get 251 00:13:45,480 --> 00:13:49,240 Speaker 2: there without necessarily having the stamp of some of these 252 00:13:49,240 --> 00:13:52,520 Speaker 2: more elite schools. And I think that that's going to continue. 253 00:13:52,559 --> 00:13:54,600 Speaker 2: I think in Parkers these schools are also less serious 254 00:13:54,600 --> 00:13:57,240 Speaker 2: institutions than they used to be. Honestly, they're just not 255 00:13:58,320 --> 00:13:59,880 Speaker 2: They're hard to get into, but they're kind of like 256 00:13:59,880 --> 00:14:02,160 Speaker 2: a social club once you're there. It's kind of a 257 00:14:02,200 --> 00:14:03,960 Speaker 2: joke for a lot of people once you're actually into 258 00:14:03,960 --> 00:14:04,400 Speaker 2: the school. 259 00:14:04,960 --> 00:14:08,800 Speaker 1: We're approaching one hundred employees at OutKick. I'm not sure 260 00:14:08,840 --> 00:14:12,160 Speaker 1: that I know where anybody that we have hired went 261 00:14:12,240 --> 00:14:16,440 Speaker 1: to school. I'm just using that as an example. I 262 00:14:16,480 --> 00:14:19,080 Speaker 1: think it matters when you're twenty two or twenty three 263 00:14:19,120 --> 00:14:22,320 Speaker 1: and you're trying to get your first job. It doesn't 264 00:14:22,360 --> 00:14:26,400 Speaker 1: matter at all after that first job. And I think 265 00:14:26,440 --> 00:14:29,240 Speaker 1: that is we need to have a big discuss. I 266 00:14:29,240 --> 00:14:32,440 Speaker 1: think this is a big, big deal, this ruling, but 267 00:14:32,520 --> 00:14:35,480 Speaker 1: I think the implications and what the colleges and universities 268 00:14:35,480 --> 00:14:37,760 Speaker 1: are going to do going forward is also a big. 269 00:14:37,720 --> 00:14:39,520 Speaker 3: I make a prediction we can come back to it. 270 00:14:40,000 --> 00:14:45,120 Speaker 2: The admitted numbers of the preferred or elevated minorities in 271 00:14:45,160 --> 00:14:48,960 Speaker 2: this process will not change, and they will not change 272 00:14:49,000 --> 00:14:50,600 Speaker 2: because they will just continue to do what they do. 273 00:14:50,640 --> 00:14:52,160 Speaker 2: They'll just find another way to do it so that 274 00:14:52,160 --> 00:14:54,520 Speaker 2: it's harder to track what they're doing in the admissions process. 275 00:14:54,760 --> 00:14:57,320 Speaker 1: I think that's true, and sadly, I think it's likely 276 00:14:57,400 --> 00:14:59,800 Speaker 1: that many of these standardized admission tests are going to 277 00:14:59,840 --> 00:15:02,840 Speaker 1: be done away with because they'll say that they are 278 00:15:02,920 --> 00:15:05,240 Speaker 1: reinforcing the. 279 00:15:04,440 --> 00:15:07,160 Speaker 2: They're going to make it optional racism, and then there's 280 00:15:07,200 --> 00:15:10,280 Speaker 2: going to be this wink and a nod of well, 281 00:15:10,800 --> 00:15:14,640 Speaker 2: you don't have to submit your SATs, but that other 282 00:15:14,720 --> 00:15:16,840 Speaker 2: guy if he wants in, he's going to have to 283 00:15:17,080 --> 00:15:18,240 Speaker 2: submit his SATs. 284 00:15:18,320 --> 00:15:20,920 Speaker 1: That's what I see coming. You've heard us talk about 285 00:15:20,920 --> 00:15:23,560 Speaker 1: our friend Dutch Mindenall. He's the co founder and CEO 286 00:15:23,640 --> 00:15:26,760 Speaker 1: of rad Diversified. You can add the word author to 287 00:15:26,840 --> 00:15:29,840 Speaker 1: his credentials. His new book is called Money Shackles. What 288 00:15:30,080 --> 00:15:34,320 Speaker 1: are money Shackles? These shackles represent the financial hamstrings that 289 00:15:34,400 --> 00:15:37,360 Speaker 1: Americans have fought with. Go to school, get in debt, 290 00:15:37,440 --> 00:15:39,640 Speaker 1: buy a car, get in debt. He believes it's the 291 00:15:39,680 --> 00:15:42,360 Speaker 1: wrong thoughts, wrong teachings. In his book, he'll give you 292 00:15:42,400 --> 00:15:45,080 Speaker 1: strategies to use debt to your advantage and tap into 293 00:15:45,120 --> 00:15:50,000 Speaker 1: lucrative alternative investment vehicles to redefine your American dream. 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Welcome back in Clay Travis, Buck Sexton show Buck. 303 00:16:26,160 --> 00:16:28,520 Speaker 1: I just popped up a couple of questions and I'm 304 00:16:28,600 --> 00:16:32,400 Speaker 1: curious to see. The first question is do you believe 305 00:16:32,520 --> 00:16:36,160 Speaker 1: race should be used as a consideration in college or 306 00:16:36,280 --> 00:16:41,600 Speaker 1: university admissions? And already one thousand people voted on that 307 00:16:42,160 --> 00:16:46,240 Speaker 1: in the first three minutes, ninety eight to two. The 308 00:16:46,320 --> 00:16:50,160 Speaker 1: answer is no, ninety eight to two. All right, almost 309 00:16:50,280 --> 00:16:53,480 Speaker 1: my audience so far almost one hundred percent agreement that 310 00:16:53,520 --> 00:16:53,960 Speaker 1: it should not. 311 00:16:54,360 --> 00:16:55,960 Speaker 2: I mean, can I just say if we could get 312 00:16:56,080 --> 00:16:59,160 Speaker 2: you know, all the MSNBC today is in full morning, right, 313 00:16:59,200 --> 00:17:01,440 Speaker 2: I mean, this is a sad day for seeing an 314 00:17:01,520 --> 00:17:04,439 Speaker 2: MSNBC on air. They're gonna be complaining about this, and 315 00:17:04,520 --> 00:17:07,600 Speaker 2: ultimately what they want to tell everybody is that an 316 00:17:07,680 --> 00:17:11,000 Speaker 2: immigrant kid from Vietnam who arrives here, his parents arrive 317 00:17:11,080 --> 00:17:13,959 Speaker 2: here and have not a penny to their name, and 318 00:17:14,000 --> 00:17:16,560 Speaker 2: that kid just you know, works his works his hard 319 00:17:16,600 --> 00:17:18,960 Speaker 2: out and gets a sixteen hundred and the SATs and 320 00:17:19,000 --> 00:17:22,880 Speaker 2: a four point zero GPA. That doesn't matter as much 321 00:17:22,920 --> 00:17:26,080 Speaker 2: as somebody who's black, Latino or Native American who gets 322 00:17:26,080 --> 00:17:29,520 Speaker 2: two or three hundred points less because of historical discrimination. Yeah, 323 00:17:29,640 --> 00:17:30,960 Speaker 2: that's that's what they're saying. 324 00:17:31,359 --> 00:17:35,280 Speaker 1: Could have multimillionaire parents. Yes, to me, that's the catch. 325 00:17:35,320 --> 00:17:39,120 Speaker 1: When you're giving benefit to kids who have every benefit already, 326 00:17:39,160 --> 00:17:41,080 Speaker 1: it's an added benefit. I put up another poll, and 327 00:17:41,080 --> 00:17:42,679 Speaker 1: I'm curious on this one. We're about to go to 328 00:17:42,720 --> 00:17:46,600 Speaker 1: break legacy admissions. Do you think the kids this is 329 00:17:46,600 --> 00:17:49,000 Speaker 1: a question for you guys, weld potentially talk about it 330 00:17:49,000 --> 00:17:52,520 Speaker 1: as everybody's reacting. Do you think the kids or grandkids 331 00:17:52,680 --> 00:17:55,600 Speaker 1: of parents who went to a school should get a benefit? 332 00:17:55,720 --> 00:17:58,040 Speaker 2: So I have something to tell everybody legacy admissions on 333 00:17:58,040 --> 00:18:01,240 Speaker 2: that side of it that is not being taken into 334 00:18:01,240 --> 00:18:01,600 Speaker 2: the debate. 335 00:18:01,600 --> 00:18:02,959 Speaker 3: We'll come back to this in a second. 336 00:18:03,359 --> 00:18:06,000 Speaker 2: BRI's a AT and T T mobile three cell phone 337 00:18:06,040 --> 00:18:09,080 Speaker 2: companies charging you too much money every month for the 338 00:18:09,119 --> 00:18:11,040 Speaker 2: same quality of service. You can get it from pure 339 00:18:11,080 --> 00:18:12,919 Speaker 2: Talk for far less money. How much lower? 340 00:18:13,600 --> 00:18:13,920 Speaker 3: Right? Now? 341 00:18:13,960 --> 00:18:16,560 Speaker 2: Get unlimited talk, unlimited text, and ultra fast five G 342 00:18:16,720 --> 00:18:19,440 Speaker 2: data for just twenty dollars a month. When it comes 343 00:18:19,480 --> 00:18:21,880 Speaker 2: to pure Talks coverage, it's every bit is good. Puretalk 344 00:18:21,960 --> 00:18:24,520 Speaker 2: uses the most dependable five G network in the country. 345 00:18:24,880 --> 00:18:27,240 Speaker 2: Make the switch and put the savings into your pocket. 346 00:18:27,560 --> 00:18:30,440 Speaker 2: Using your cell phone, dial pound two fifty and say 347 00:18:30,440 --> 00:18:33,439 Speaker 2: the keywords Clay and Buck to get unlimited talk, text 348 00:18:33,800 --> 00:18:35,960 Speaker 2: and plenty of data for just twenty bucks a month. 349 00:18:36,280 --> 00:18:39,080 Speaker 2: Pure Talk's amazing US customer service team will make switching 350 00:18:39,200 --> 00:18:42,359 Speaker 2: so easy. Pick up your phone, dial pound two fifty, 351 00:18:42,640 --> 00:18:45,119 Speaker 2: say Clay and Buck for unlimited talk and text with 352 00:18:45,200 --> 00:18:48,120 Speaker 2: plenty of five G data for just twenty bucks a month. 353 00:18:48,320 --> 00:18:50,280 Speaker 2: You'll be signing on with a veteran known company. Just 354 00:18:50,280 --> 00:18:52,800 Speaker 2: one more reason to make the switch today, Dial pound 355 00:18:52,800 --> 00:18:55,719 Speaker 2: two five zero and say Clay and Bucks. Save an 356 00:18:55,720 --> 00:18:58,879 Speaker 2: additional fifty percent off your first month. We have seen 357 00:18:59,000 --> 00:19:04,000 Speaker 2: the striking down by a sixty three decision of affirmative 358 00:19:04,040 --> 00:19:09,520 Speaker 2: action based on race in college admissions. We're also expanding 359 00:19:09,520 --> 00:19:13,080 Speaker 2: that discussion out a little bit too. What is should 360 00:19:13,119 --> 00:19:19,920 Speaker 2: there be some kind of socioeconomic component in college admissions 361 00:19:19,960 --> 00:19:23,919 Speaker 2: that has taken into account? Should there be some change 362 00:19:23,960 --> 00:19:29,159 Speaker 2: in legacy admissions? So those are all certainly interesting and 363 00:19:29,520 --> 00:19:34,800 Speaker 2: worthwhile aspects of the discussion I think too. But first off, 364 00:19:35,160 --> 00:19:38,400 Speaker 2: I can say, Clay, they're very unhappy with this over 365 00:19:38,720 --> 00:19:44,240 Speaker 2: in the Democrat world. They view this as as an enormous, 366 00:19:44,640 --> 00:19:48,320 Speaker 2: you know, betrayal of a system that has been in place, 367 00:19:48,359 --> 00:19:51,080 Speaker 2: that quite honestly has benefited a lot of the people 368 00:19:51,080 --> 00:19:52,840 Speaker 2: that you see on TV and a lot of members 369 00:19:52,840 --> 00:19:55,840 Speaker 2: of Congress. And you know, there are people that recognize, 370 00:19:55,960 --> 00:19:56,560 Speaker 2: I think. 371 00:19:57,000 --> 00:19:57,720 Speaker 3: Whether they're open. 372 00:19:57,840 --> 00:19:59,680 Speaker 2: Some are open about it, others don't like to talk 373 00:19:59,680 --> 00:20:04,160 Speaker 2: about it, that they themselves benefited very directly from affirmative 374 00:20:04,200 --> 00:20:06,439 Speaker 2: action in all of this. You know, as we talk 375 00:20:06,480 --> 00:20:09,399 Speaker 2: about all of this, so that's going on. You asked 376 00:20:09,440 --> 00:20:13,720 Speaker 2: about you brought up legacy admissions. So legacy admissions. I 377 00:20:13,760 --> 00:20:16,280 Speaker 2: had a couple friends. One actually I went to school with, 378 00:20:16,320 --> 00:20:18,000 Speaker 2: and then he was on the admissions board of my 379 00:20:18,080 --> 00:20:20,400 Speaker 2: college later on, so I got to know quite a bit. 380 00:20:20,680 --> 00:20:21,160 Speaker 3: When he left. 381 00:20:21,200 --> 00:20:22,720 Speaker 2: He wouldn't tell me anything when he was actually on 382 00:20:22,760 --> 00:20:26,439 Speaker 2: the board when he left about it. They have this really, 383 00:20:28,440 --> 00:20:30,800 Speaker 2: I mean, the numbers show it's not not accurate, but 384 00:20:30,840 --> 00:20:34,240 Speaker 2: there's this long standing perception that it's necessary for fundraising. 385 00:20:34,280 --> 00:20:36,400 Speaker 2: So it's just about the money. Yeah, that's why they 386 00:20:36,440 --> 00:20:39,640 Speaker 2: take the children of alumni because they believe they are 387 00:20:39,760 --> 00:20:44,000 Speaker 2: more likely to donate. But schools, some schools have gone 388 00:20:44,040 --> 00:20:48,280 Speaker 2: away from that. I can tell you another area you 389 00:20:48,320 --> 00:20:51,560 Speaker 2: may not like this one. Some of these schools always say, well, 390 00:20:51,600 --> 00:20:53,960 Speaker 2: we have to recruit for all these different sports because 391 00:20:54,000 --> 00:20:56,960 Speaker 2: otherwise alumni donations will drive. Now I'm not talking about 392 00:20:56,960 --> 00:20:59,520 Speaker 2: like University of Michigan football. I'm talking about you know, 393 00:21:00,119 --> 00:21:04,879 Speaker 2: like you know, swath More field hockey. Okay, yeah, And 394 00:21:04,920 --> 00:21:07,199 Speaker 2: they're like, why do we have to oh, because the 395 00:21:07,280 --> 00:21:09,800 Speaker 2: alumni will stop donating if we don't have winning teams. 396 00:21:09,840 --> 00:21:11,800 Speaker 2: I'm like, I don't think anyone's not writing a check 397 00:21:11,840 --> 00:21:13,080 Speaker 2: because of women's field hockey. 398 00:21:13,080 --> 00:21:14,000 Speaker 3: It's swapping, right. 399 00:21:14,560 --> 00:21:17,400 Speaker 2: So you know, there are these these ideas that are 400 00:21:17,440 --> 00:21:19,640 Speaker 2: that are untrue. And it's funny because the Left comes 401 00:21:19,640 --> 00:21:21,640 Speaker 2: back at this. AOC has already done this with yeah, 402 00:21:21,720 --> 00:21:25,040 Speaker 2: well like they didn't even well, this is about skin 403 00:21:25,160 --> 00:21:28,880 Speaker 2: color and college admissions. If they want to do a 404 00:21:29,000 --> 00:21:32,679 Speaker 2: legacy admissions case, fine, and I would be supportive of 405 00:21:32,880 --> 00:21:35,720 Speaker 2: I think legacy admissions as a as a policy. 406 00:21:35,760 --> 00:21:36,720 Speaker 3: I agree with you. 407 00:21:37,640 --> 00:21:40,760 Speaker 2: It's really hard to justify this on the merits because 408 00:21:40,800 --> 00:21:42,880 Speaker 2: you're really just saying, well, I think your rich mom 409 00:21:42,920 --> 00:21:44,320 Speaker 2: and dad are more likely to write a check, so 410 00:21:44,320 --> 00:21:45,920 Speaker 2: I'm gonna let you win because your mom and dad 411 00:21:46,000 --> 00:21:48,840 Speaker 2: or mom or dad went here, right, That's I think 412 00:21:48,840 --> 00:21:52,080 Speaker 2: that's that's a failed notion, a failed approach. But I 413 00:21:52,119 --> 00:21:54,399 Speaker 2: also think that what we see is these schools, the 414 00:21:54,400 --> 00:21:56,960 Speaker 2: notion that especially we're talking about the elite schools now, 415 00:21:57,720 --> 00:21:59,879 Speaker 2: that they are are so hard up for. 416 00:22:00,280 --> 00:22:02,240 Speaker 3: I mean, doesn't I think Harvard has a sixty billion 417 00:22:02,280 --> 00:22:05,400 Speaker 3: dollar endown it now, Yeah, some crazy number. 418 00:22:05,440 --> 00:22:09,040 Speaker 2: I mean, these are massive hedge funds where there are 419 00:22:09,080 --> 00:22:13,680 Speaker 2: classes also taught. So they've been able to create these 420 00:22:14,440 --> 00:22:20,479 Speaker 2: these uh, just cash piles that aren't taxed and you know, 421 00:22:20,560 --> 00:22:23,679 Speaker 2: sort of allow them to operate in this world of 422 00:22:24,160 --> 00:22:28,920 Speaker 2: tremendous administrator hiring and and a lot of social justice 423 00:22:28,960 --> 00:22:31,560 Speaker 2: and social engineering. At the end of the day, what 424 00:22:31,600 --> 00:22:33,640 Speaker 2: they've been doing though, by looking at it, by looking 425 00:22:33,680 --> 00:22:36,119 Speaker 2: at students and saying you're Asian, you're black, you're Hispanic, 426 00:22:36,119 --> 00:22:38,159 Speaker 2: you're Native America. Didn't really see much talk about the 427 00:22:38,200 --> 00:22:40,479 Speaker 2: Native American component in this decision. I might have missed it, 428 00:22:41,240 --> 00:22:43,200 Speaker 2: but that's also a huge one. If you're Native American, 429 00:22:43,240 --> 00:22:46,360 Speaker 2: you will basically get a huge advantage in college admissions 430 00:22:46,359 --> 00:22:49,760 Speaker 2: that an elite school. Elizabeth Warren For anybody who's wondering, 431 00:22:49,800 --> 00:22:52,960 Speaker 2: why did Elizabeth Warren pretend to be Native American so 432 00:22:53,000 --> 00:22:56,080 Speaker 2: she could get into and or rather so she could 433 00:22:56,160 --> 00:23:00,760 Speaker 2: teach at Harvard Law School. So there I find all 434 00:23:00,800 --> 00:23:02,840 Speaker 2: the arguments, Like, do you find any aspect of any 435 00:23:02,840 --> 00:23:06,440 Speaker 2: of the argument that they should have stayed compelling? I mean, 436 00:23:06,560 --> 00:23:07,760 Speaker 2: I just look at this, and I look at it, 437 00:23:07,800 --> 00:23:10,000 Speaker 2: and I just say, there's none of it makes any sense. 438 00:23:10,040 --> 00:23:12,479 Speaker 2: There's no component of this you were you were looking 439 00:23:12,520 --> 00:23:17,160 Speaker 2: at skin color specifically, not socioeconomic status, not specific harm 440 00:23:17,200 --> 00:23:20,359 Speaker 2: to the individual from the government and saying, well, there's racism, 441 00:23:20,640 --> 00:23:23,639 Speaker 2: So let's just create a hierarchy of admissions based on 442 00:23:23,680 --> 00:23:28,560 Speaker 2: skin color that disadvantages in Asians more than anybody else. 443 00:23:28,680 --> 00:23:30,320 Speaker 3: That's what they did. Yeah. 444 00:23:30,400 --> 00:23:34,840 Speaker 1: No, I disagree completely with the idea of using race. 445 00:23:35,040 --> 00:23:40,080 Speaker 1: I do think that legacy admission should also be ended. 446 00:23:41,200 --> 00:23:42,920 Speaker 1: And some of you may disagree with this, by the way, 447 00:23:42,960 --> 00:23:45,320 Speaker 1: eight hundred and two eight two two eight eight two. 448 00:23:45,560 --> 00:23:46,480 Speaker 3: On what grounds are right? 449 00:23:46,520 --> 00:23:48,960 Speaker 2: Like, I agree with you that it's it's unseemly, But 450 00:23:49,080 --> 00:23:50,359 Speaker 2: is it unconstitutional? 451 00:23:50,720 --> 00:23:54,359 Speaker 1: Oh No, I don't know that it's unconstitutional because I 452 00:23:54,400 --> 00:23:57,120 Speaker 1: haven't really thought through how you would even attack it. 453 00:23:57,160 --> 00:24:02,160 Speaker 1: Because schools should be able to admit who they want to, 454 00:24:02,400 --> 00:24:05,040 Speaker 1: so long as they don't violate Like again, this was 455 00:24:05,040 --> 00:24:08,320 Speaker 1: found to violate the equal Protection clause because you're treating 456 00:24:08,359 --> 00:24:12,439 Speaker 1: some people differently based on their race, treating people differently 457 00:24:12,520 --> 00:24:15,480 Speaker 1: based on I don't even know what the protected class 458 00:24:15,520 --> 00:24:17,520 Speaker 1: would be associated with legacy admissions. 459 00:24:17,520 --> 00:24:18,560 Speaker 3: It just feels icky to me. 460 00:24:18,880 --> 00:24:21,840 Speaker 1: And I say that as someone whose own kids would 461 00:24:21,880 --> 00:24:22,640 Speaker 1: now benefit. 462 00:24:22,760 --> 00:24:22,960 Speaker 3: Right. 463 00:24:23,359 --> 00:24:25,520 Speaker 1: I went to Vanderbilt University. I've got a couple of 464 00:24:25,560 --> 00:24:28,480 Speaker 1: degrees there. I went to George Washington University. My wife's 465 00:24:28,480 --> 00:24:31,080 Speaker 1: got a couple of Vanderbilt degrees. She went to the 466 00:24:31,160 --> 00:24:35,119 Speaker 1: University of Michigan. Our three boys would benefit. I didn't. 467 00:24:35,280 --> 00:24:39,240 Speaker 1: My parents went to Middle Tennessee State University. They were 468 00:24:39,240 --> 00:24:43,359 Speaker 1: the first generation to go to college basically in our families. 469 00:24:43,880 --> 00:24:47,080 Speaker 1: And I didn't apply to MTSU, which is a state 470 00:24:47,160 --> 00:24:50,240 Speaker 1: school in Tennessee where I'm from. I don't even know 471 00:24:50,280 --> 00:24:52,679 Speaker 1: if there's a benefit very much that I would have gotten. 472 00:24:52,720 --> 00:24:55,480 Speaker 1: Maybe I would have an MTSU. But I don't think 473 00:24:55,520 --> 00:24:58,000 Speaker 1: that my kids should be judged based on the fact 474 00:24:58,000 --> 00:25:00,720 Speaker 1: of where their mom and I went to. I don't 475 00:25:00,760 --> 00:25:04,440 Speaker 1: think they should get a benefit just based on that. 476 00:25:04,560 --> 00:25:08,040 Speaker 1: Now I can see an argument if you let's say 477 00:25:08,040 --> 00:25:09,280 Speaker 1: that I ended up a billionaire. 478 00:25:09,359 --> 00:25:09,600 Speaker 3: Buck. 479 00:25:09,880 --> 00:25:12,000 Speaker 1: Let's say I ended up a billionaire and I decided 480 00:25:12,040 --> 00:25:14,800 Speaker 1: that I wanted to endow one of my alma maters 481 00:25:14,880 --> 00:25:18,520 Speaker 1: with a billion dollars. If I gave that much money 482 00:25:18,520 --> 00:25:21,920 Speaker 1: to a university and my kids didn't get in, then 483 00:25:21,960 --> 00:25:26,200 Speaker 1: I like, I can see a legacy admissions aspect when 484 00:25:26,240 --> 00:25:29,919 Speaker 1: the when somebody has given like a billion dollars to 485 00:25:30,160 --> 00:25:33,720 Speaker 1: endow a school and there's tens of thousands of people 486 00:25:33,720 --> 00:25:37,320 Speaker 1: who are benefiting off of their largess in that respect. 487 00:25:37,920 --> 00:25:40,600 Speaker 3: But as a normal. 488 00:25:40,320 --> 00:25:43,480 Speaker 1: Person who would have graduated from a school, I don't 489 00:25:43,680 --> 00:25:46,399 Speaker 1: believe in the legacy aspect. And I don't even know. 490 00:25:46,440 --> 00:25:48,200 Speaker 1: But I haven't seen a great deal of studies. You 491 00:25:48,240 --> 00:25:50,400 Speaker 1: may have seen some stuff. I don't know how much 492 00:25:50,400 --> 00:25:52,919 Speaker 1: of an advantage of being a legacy is. And I 493 00:25:52,920 --> 00:25:55,399 Speaker 1: would imagine that it changes some based on what the 494 00:25:55,520 --> 00:25:56,320 Speaker 1: university is. 495 00:25:56,520 --> 00:25:59,280 Speaker 2: But it's it's less than it's less than in terms 496 00:25:59,320 --> 00:26:03,760 Speaker 2: of the SAT. It's substantially less than being a preferred minority. Right, 497 00:26:03,840 --> 00:26:05,960 Speaker 2: that's also a part of this. It doesn't get talked 498 00:26:05,960 --> 00:26:08,719 Speaker 2: about it it's an advantage. Don't get me wrong. Of course, 499 00:26:09,040 --> 00:26:11,920 Speaker 2: but you're talking about maybe, you know, just to try 500 00:26:11,920 --> 00:26:14,280 Speaker 2: to quantify it one hundred points, one hundred and twenty 501 00:26:14,280 --> 00:26:17,320 Speaker 2: points on the SAT instead of three hundred points or 502 00:26:17,359 --> 00:26:19,080 Speaker 2: two hundred and fifty points on the SAT. 503 00:26:19,680 --> 00:26:23,040 Speaker 1: Yeah, the meritocracy in general, I think should be the aspiration. 504 00:26:23,119 --> 00:26:24,920 Speaker 1: And that's the thing that I would like to take 505 00:26:24,960 --> 00:26:27,399 Speaker 1: from this opinion, buck Is, and I would suggest this 506 00:26:27,480 --> 00:26:30,199 Speaker 1: to Republicans out there in general. We've got to re 507 00:26:30,320 --> 00:26:33,240 Speaker 1: embrace the idea of the meritocracy as being a really 508 00:26:33,280 --> 00:26:36,600 Speaker 1: good thing. That we want the people who are at 509 00:26:36,640 --> 00:26:40,800 Speaker 1: the absolute apex of their achievements in all fields, and 510 00:26:40,840 --> 00:26:44,280 Speaker 1: we want to encourage that for all children. We want 511 00:26:44,320 --> 00:26:47,800 Speaker 1: to embrace the idea of excellence. You know, for a 512 00:26:47,800 --> 00:26:52,760 Speaker 1: while it was an insult to describe something as being elite. 513 00:26:53,000 --> 00:26:57,320 Speaker 1: There is a difference between being elite and being an eliteist. 514 00:26:57,800 --> 00:27:01,600 Speaker 1: In my experience, most people who are a are huge 515 00:27:01,600 --> 00:27:05,679 Speaker 1: paragons of the meritocracy, but they're not elite ists. And 516 00:27:05,760 --> 00:27:08,439 Speaker 1: that they're saying, oh, you could never aspire to do 517 00:27:08,520 --> 00:27:10,800 Speaker 1: what I've done. It seems to me that people who 518 00:27:10,840 --> 00:27:14,399 Speaker 1: are elitists actually aren't very talented, and they're trying to 519 00:27:14,480 --> 00:27:18,439 Speaker 1: preserve whatever limited social status they have. I want the 520 00:27:18,480 --> 00:27:24,480 Speaker 1: meritocracy to flourish across the entire United States, where every kid, 521 00:27:24,560 --> 00:27:27,240 Speaker 1: no matter where they grow up or what their background is, 522 00:27:27,320 --> 00:27:29,760 Speaker 1: can aspire to be the next Devon Musk or the 523 00:27:29,760 --> 00:27:30,760 Speaker 1: next Mark Zuckerberg. 524 00:27:31,240 --> 00:27:35,240 Speaker 2: I have some maybe slightly outside the box or even 525 00:27:35,280 --> 00:27:40,320 Speaker 2: radical thoughts also on the notion in general, that you 526 00:27:40,400 --> 00:27:44,400 Speaker 2: can be judged that you're even honestly your intellectual ability 527 00:27:44,480 --> 00:27:49,000 Speaker 2: or cognition, and then beyond that you're worth as a 528 00:27:49,119 --> 00:27:52,480 Speaker 2: leader in society or whatever when you're a seventeen year 529 00:27:52,480 --> 00:27:57,840 Speaker 2: old based upon Every school has different curriculums, every situation, 530 00:27:58,040 --> 00:28:00,639 Speaker 2: every person. So the only way to do it is 531 00:28:00,680 --> 00:28:02,800 Speaker 2: with these standardized tests. And as I always tell everybody, 532 00:28:03,560 --> 00:28:05,520 Speaker 2: no one cares if you took calculus in high school. 533 00:28:05,920 --> 00:28:08,480 Speaker 2: It actually doesn't matter in your life. Like this is 534 00:28:08,480 --> 00:28:10,040 Speaker 2: something that you know you don't want to tell your 535 00:28:10,080 --> 00:28:11,879 Speaker 2: high school aged kids because they'll be like, well, then 536 00:28:11,880 --> 00:28:14,720 Speaker 2: why do I have to do? This doesn't matter? Bottom line, 537 00:28:14,800 --> 00:28:16,840 Speaker 2: someone's gonna rerine it. I'm a mathematician, or like I 538 00:28:16,920 --> 00:28:18,560 Speaker 2: do you know multid. 539 00:28:19,200 --> 00:28:22,159 Speaker 1: Hersh fashions where it truly matters, But it matters in 540 00:28:22,440 --> 00:28:25,719 Speaker 1: pass to what like algebra two, the even algebra two, 541 00:28:25,840 --> 00:28:26,480 Speaker 1: like what math? 542 00:28:26,720 --> 00:28:29,080 Speaker 3: You know, do you actually use this? This is what 543 00:28:29,119 --> 00:28:29,400 Speaker 3: I mean. 544 00:28:29,520 --> 00:28:32,640 Speaker 2: You know, you look at GPA GPAs a compilation of 545 00:28:32,720 --> 00:28:36,119 Speaker 2: all these different all this different subject matter that is 546 00:28:36,240 --> 00:28:39,000 Speaker 2: generally stuff that most people forget. I mean, it's giving 547 00:28:39,000 --> 00:28:42,560 Speaker 2: you a baseline. And that's why standardized tests came came in. 548 00:28:43,080 --> 00:28:45,560 Speaker 2: And the whole idea was, you can't trust people's grades 549 00:28:45,560 --> 00:28:47,720 Speaker 2: at these different schools or so, so let's have some 550 00:28:47,760 --> 00:28:50,160 Speaker 2: sort of objective metric. And then they didn't like what 551 00:28:50,200 --> 00:28:52,160 Speaker 2: the standardized tests were doing, so they said, well, now 552 00:28:52,160 --> 00:28:53,840 Speaker 2: we need to look at grades a little bit more. 553 00:28:53,920 --> 00:28:56,040 Speaker 2: And they didn't like what standardized tests and grades are doing. 554 00:28:56,120 --> 00:28:58,640 Speaker 2: So then it's now we have this holistic admissions process 555 00:28:58,640 --> 00:29:00,760 Speaker 2: that even included race as as a factor. 556 00:29:01,440 --> 00:29:04,040 Speaker 3: And you got on the line. You just say, you know, 557 00:29:04,120 --> 00:29:06,200 Speaker 3: at the end of the day, you'll get paid. 558 00:29:05,960 --> 00:29:11,760 Speaker 2: More for extreme specialization and excellence in one area than 559 00:29:11,800 --> 00:29:14,680 Speaker 2: you will for being the person that always, you know, 560 00:29:14,720 --> 00:29:17,040 Speaker 2: does the extra credit and gets an eight plus on everything. 561 00:29:17,040 --> 00:29:19,760 Speaker 3: No one really cares. Here's the real question. 562 00:29:19,800 --> 00:29:21,400 Speaker 1: Because you think about this as a parent, I bet 563 00:29:21,440 --> 00:29:24,840 Speaker 1: every parent grandparent thinks out there to what extent does 564 00:29:24,880 --> 00:29:27,600 Speaker 1: where you go to college, or even if you go 565 00:29:27,640 --> 00:29:31,000 Speaker 1: to college at all, dictate your likely success in life. 566 00:29:32,320 --> 00:29:33,320 Speaker 3: That's the big question. 567 00:29:33,360 --> 00:29:35,840 Speaker 2: I mean, right, the numbers will show higher earnings for 568 00:29:35,960 --> 00:29:38,000 Speaker 2: people that go that get a four year degree. The 569 00:29:38,080 --> 00:29:40,960 Speaker 2: numbers will show, but they're just numbers meaning that. 570 00:29:41,080 --> 00:29:43,080 Speaker 3: But how much of that buck is? Right? 571 00:29:43,800 --> 00:29:46,400 Speaker 1: Let's say you've got a sixteen hundred on your SAT, right, 572 00:29:46,960 --> 00:29:48,920 Speaker 1: I think that's still the perfect score on the SAT. 573 00:29:49,200 --> 00:29:50,960 Speaker 2: I know they change the scoring match. It's back to 574 00:29:51,000 --> 00:29:53,040 Speaker 2: sixteen hundred and nine. Okay, it's back to sixteen hundred 575 00:29:53,040 --> 00:29:55,960 Speaker 2: perfect score. And you have an option between going to 576 00:29:56,240 --> 00:29:58,640 Speaker 2: Harvard or going I'm not trying to take a shot here, 577 00:29:59,200 --> 00:30:01,960 Speaker 2: or going to t Texas Tech. Right, I'm not trying 578 00:30:01,960 --> 00:30:04,920 Speaker 2: to take a shot at Texas Tech. Wow, Texas is listening. 579 00:30:04,960 --> 00:30:08,720 Speaker 1: Play Texas is listening saying Harvard or Texas Tech. 580 00:30:09,640 --> 00:30:12,000 Speaker 3: How much difference do you think there. 581 00:30:12,040 --> 00:30:15,720 Speaker 1: Is in later life achievement for the person who is 582 00:30:15,760 --> 00:30:17,920 Speaker 1: clearly very smart? Right, if you get a sixteen hundred 583 00:30:17,920 --> 00:30:20,120 Speaker 1: on the SAT, you are a very smart person. How 584 00:30:20,200 --> 00:30:24,120 Speaker 1: much difference in life outcome do you think there is 585 00:30:24,200 --> 00:30:26,440 Speaker 1: for a kid who gets a sixteen hundred and goes 586 00:30:26,440 --> 00:30:31,320 Speaker 1: to Harvard versus goes to Texas Tech. My inclination would 587 00:30:31,320 --> 00:30:33,360 Speaker 1: be bought. And this is I don't know the answer. 588 00:30:33,400 --> 00:30:35,120 Speaker 1: What would you think to I don't know there's ever 589 00:30:35,160 --> 00:30:37,960 Speaker 1: been testing on this. I always say that one of 590 00:30:38,000 --> 00:30:38,800 Speaker 1: the issues with all this. 591 00:30:38,880 --> 00:30:40,120 Speaker 2: We'll come back to this and we want to take 592 00:30:40,160 --> 00:30:42,600 Speaker 2: some calls from some folks out there, and especially also 593 00:30:42,760 --> 00:30:45,280 Speaker 2: some parents if your kids just went through this omissions process, 594 00:30:45,560 --> 00:30:47,080 Speaker 2: will be great to hear from you. Eight hundred two 595 00:30:47,080 --> 00:30:49,640 Speaker 2: A two two eight a two uh Clay. People get 596 00:30:49,680 --> 00:30:51,160 Speaker 2: into these schools for different. 597 00:30:50,840 --> 00:30:52,240 Speaker 3: Reasons, that's the bottom line. 598 00:30:52,560 --> 00:30:54,600 Speaker 2: So if you got into one of these schools because 599 00:30:54,640 --> 00:30:57,560 Speaker 2: daddy wrote a big check and endowed a wing of 600 00:30:57,560 --> 00:31:00,600 Speaker 2: a library, well you're probably gonna of trust funds. So 601 00:31:00,600 --> 00:31:02,560 Speaker 2: no one's going to know whether you're successful or not, right, 602 00:31:02,600 --> 00:31:05,400 Speaker 2: But it certainly doesn't mean that you're smart. It certainly 603 00:31:05,440 --> 00:31:08,920 Speaker 2: doesn't mean you know that you're somebody that anybody should 604 00:31:08,960 --> 00:31:11,320 Speaker 2: listen to on anything. So I think that this is 605 00:31:12,080 --> 00:31:14,800 Speaker 2: we're worked in a world that is changing very rapidly. 606 00:31:14,960 --> 00:31:19,040 Speaker 2: From these schools are some kind of pipeline into this 607 00:31:19,040 --> 00:31:21,960 Speaker 2: this great life thereafter. To what do you do in 608 00:31:21,960 --> 00:31:23,280 Speaker 2: the school, What did you learn and who are you 609 00:31:23,320 --> 00:31:26,160 Speaker 2: as a person? Because ultimately, what does an employer want? 610 00:31:26,240 --> 00:31:28,280 Speaker 2: You know this, I've hired before. I'm not, you know, 611 00:31:28,360 --> 00:31:31,040 Speaker 2: hiring these days like you are. But you want someone 612 00:31:31,040 --> 00:31:35,440 Speaker 2: who is competent, has a good attitude, reliable and is 613 00:31:35,480 --> 00:31:37,200 Speaker 2: there when you need them to be there and does 614 00:31:37,240 --> 00:31:39,040 Speaker 2: good work right like the basics. 615 00:31:39,480 --> 00:31:41,360 Speaker 3: That's what is the test. Now. 616 00:31:41,560 --> 00:31:43,280 Speaker 1: That's why I say we've got one hundred employees or 617 00:31:43,320 --> 00:31:45,560 Speaker 1: whatever at OutKick. I can name like three or four 618 00:31:45,600 --> 00:31:47,560 Speaker 1: where they went to college. And that's because I know them, 619 00:31:47,720 --> 00:31:50,440 Speaker 1: you know, as friends, not because there I looked at 620 00:31:50,480 --> 00:31:52,240 Speaker 1: their resume and said we have to have this person 621 00:31:52,280 --> 00:31:55,040 Speaker 1: based on their college graduation, you know school. 622 00:31:56,040 --> 00:31:59,280 Speaker 2: Look, my friend's Inflation is still a major problem out there. 623 00:31:59,320 --> 00:32:01,840 Speaker 2: Prices are high, you see and feel it every day 624 00:32:01,880 --> 00:32:04,840 Speaker 2: with the current stock market volatility. How are your retirement 625 00:32:04,840 --> 00:32:07,600 Speaker 2: accounts doing? The Phoenix Capitol Group says the time to 626 00:32:07,640 --> 00:32:11,920 Speaker 2: diversify your investments is right now. 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Download the 640 00:32:52,560 --> 00:32:56,440 Speaker 2: Phoenix Groups Free Investment Packet today at phx on air 641 00:32:56,600 --> 00:32:58,120 Speaker 2: dot com. 642 00:32:58,400 --> 00:33:01,080 Speaker 3: Once more, claim buckdet you didn't tear on the show. 643 00:33:01,640 --> 00:33:04,760 Speaker 1: Get podcast extras in the Clay and Buck podcast feet 644 00:33:04,880 --> 00:33:08,160 Speaker 1: Find it on the iheartapp or wherever you get your podcasts. 645 00:33:08,720 --> 00:33:12,000 Speaker 1: Welcome back in Clay Travis Buck Sexton Show. Reacting to 646 00:33:12,880 --> 00:33:16,400 Speaker 1: the striking down of race as a factor that's allowed 647 00:33:16,600 --> 00:33:21,040 Speaker 1: in college and university admissions. Joe Biden is speaking right now, Buck, 648 00:33:21,080 --> 00:33:23,800 Speaker 1: and I can almost guarantee you You and I could 649 00:33:23,840 --> 00:33:27,440 Speaker 1: probably write exactly what he's saying, because we know the 650 00:33:27,560 --> 00:33:30,320 Speaker 1: left wing playbook on race as well as the left 651 00:33:30,320 --> 00:33:33,200 Speaker 1: wing does. Has he said anything that would be surprising? 652 00:33:34,120 --> 00:33:37,480 Speaker 2: Just you know, diversity in our university is just so important. 653 00:33:39,000 --> 00:33:41,880 Speaker 2: I was, what kind of diversity? How much diversity? 654 00:33:42,360 --> 00:33:44,680 Speaker 3: You know? In what ways? Is it so important? That is? 655 00:33:44,720 --> 00:33:48,200 Speaker 2: That's all vague talking point, boiler play nonsense. He strongly 656 00:33:48,240 --> 00:33:51,520 Speaker 2: disagrees with it. With the Supreme Court ruling six ' 657 00:33:51,600 --> 00:33:53,840 Speaker 2: three decision, not even a five four is gonna throw 658 00:33:53,840 --> 00:33:56,920 Speaker 2: that one out there too. The look there, I would 659 00:33:57,000 --> 00:33:59,640 Speaker 2: encourage anybody. Look, it's about two hundred and thirty pages, 660 00:34:00,080 --> 00:34:01,400 Speaker 2: and I'll be totally honest. 661 00:34:01,200 --> 00:34:03,880 Speaker 3: With you, guys. I read the you know this, the 662 00:34:03,920 --> 00:34:04,560 Speaker 3: beginning of it. 663 00:34:04,680 --> 00:34:09,600 Speaker 2: The majority opinion got into some of Thomas's you know, 664 00:34:09,760 --> 00:34:13,120 Speaker 2: his concurring opinion goes on at at length. It's very good, 665 00:34:13,400 --> 00:34:15,800 Speaker 2: and then I've read some of soda my yours, but 666 00:34:15,880 --> 00:34:18,480 Speaker 2: two hundred and thirty seven pages in total. Read the 667 00:34:18,520 --> 00:34:22,480 Speaker 2: first thirty pages of it, because you'll see the arguments 668 00:34:22,480 --> 00:34:26,080 Speaker 2: to keep for keeping this are rooted in honestly, they're 669 00:34:26,120 --> 00:34:29,120 Speaker 2: rooted in lies. And one of the biggest ones is, oh, 670 00:34:29,160 --> 00:34:31,480 Speaker 2: it's because if Biden just said this a moment ago, 671 00:34:31,560 --> 00:34:33,440 Speaker 2: we're watching him live. I could see on the screen, 672 00:34:33,440 --> 00:34:36,080 Speaker 2: you know, there's the text scrolls. But he just said, 673 00:34:36,280 --> 00:34:41,480 Speaker 2: these are all qualified applicants. That's actually not true if 674 00:34:41,520 --> 00:34:44,000 Speaker 2: you're talking at place like Harvard, if you are not 675 00:34:44,160 --> 00:34:46,799 Speaker 2: a if you do not have some special you know, 676 00:34:47,239 --> 00:34:49,920 Speaker 2: some special thing to get you in, including legacy. I'm 677 00:34:49,920 --> 00:34:51,919 Speaker 2: not going to pretend, but if you don't have something else, 678 00:34:52,800 --> 00:34:54,280 Speaker 2: you're not going to get into Harvard with a thirteen 679 00:34:54,360 --> 00:34:56,120 Speaker 2: hundred on the SAT, which is actually a very good 680 00:34:56,120 --> 00:34:57,640 Speaker 2: score by the way, not to put that down, you're 681 00:34:57,680 --> 00:34:58,720 Speaker 2: just not getting into Harvard. 682 00:34:59,320 --> 00:35:01,920 Speaker 1: The data flex Honestly, for people out there who are 683 00:35:01,960 --> 00:35:04,240 Speaker 1: losing their minds. There was actually a really good study 684 00:35:04,280 --> 00:35:09,040 Speaker 1: on this that affirmative action as it's applied actually elevates 685 00:35:09,160 --> 00:35:12,239 Speaker 1: people to colleges that they would otherwise not have been 686 00:35:12,280 --> 00:35:15,680 Speaker 1: admitted to and actually makes them less likely to succeed. 687 00:35:15,760 --> 00:35:18,359 Speaker 1: You know, this is counterintuitive in some way because you're 688 00:35:18,480 --> 00:35:21,920 Speaker 1: outside the bounds of your ability to do the work, 689 00:35:22,000 --> 00:35:25,080 Speaker 1: and you would just go to a lesser school and 690 00:35:25,200 --> 00:35:27,400 Speaker 1: be more likely to have success there because there's a 691 00:35:27,440 --> 00:35:30,319 Speaker 1: better fit. Right, That's what that's one hundred percent what 692 00:35:30,400 --> 00:35:34,520 Speaker 1: California schools, the UC system and they have the data 693 00:35:34,560 --> 00:35:36,799 Speaker 1: to back this up. You know what happened when they 694 00:35:36,840 --> 00:35:38,759 Speaker 1: got rid of racial preferences in a mission. This is 695 00:35:38,760 --> 00:35:41,200 Speaker 1: only possible because there's so many Asians in California who 696 00:35:41,239 --> 00:35:43,759 Speaker 1: were like, why are we being inscriminated against? But you 697 00:35:43,760 --> 00:35:49,000 Speaker 1: know what happened the enrollment of black students, specifically at 698 00:35:49,239 --> 00:35:52,040 Speaker 1: UCLA and USC. I think it was the two or 699 00:35:52,080 --> 00:35:54,360 Speaker 1: maybe UC Berkeley sort of the top of the UC 700 00:35:54,400 --> 00:35:54,799 Speaker 1: system of. 701 00:35:54,800 --> 00:35:57,560 Speaker 2: Berkeley because got SE's private. But yeah, I'm sorry, I'm 702 00:35:57,560 --> 00:36:00,440 Speaker 2: thank you. UC Berkeley and UCLA went. 703 00:36:00,440 --> 00:36:01,759 Speaker 3: Down a little bit. 704 00:36:02,400 --> 00:36:04,840 Speaker 2: But the enrollment at you know, you see Davis and 705 00:36:04,840 --> 00:36:06,840 Speaker 2: a few other schools went up, and you know what 706 00:36:06,960 --> 00:36:09,200 Speaker 2: also went up graduation rates. 707 00:36:09,320 --> 00:36:10,800 Speaker 3: Yeah. 708 00:36:10,920 --> 00:36:13,520 Speaker 1: Yeah, I mean that's what this is why it's so interesting. 709 00:36:14,440 --> 00:36:16,200 Speaker 1: And that's what the question I asked. And I wasn't 710 00:36:16,239 --> 00:36:18,080 Speaker 1: trying to take a shot at Texas Tech or anything, 711 00:36:18,560 --> 00:36:22,200 Speaker 1: But how much is the individual versus how much is 712 00:36:22,239 --> 00:36:25,120 Speaker 1: the institution is a question that I think goes to 713 00:36:25,160 --> 00:36:27,319 Speaker 1: the very essence and I haven't seen I would love 714 00:36:27,360 --> 00:36:29,200 Speaker 1: to see the data if somebody has a good study 715 00:36:29,239 --> 00:36:33,480 Speaker 1: that's been done of high testing students who make the 716 00:36:33,520 --> 00:36:36,640 Speaker 1: decision not to go to the most expensive elite school 717 00:36:36,680 --> 00:36:39,000 Speaker 1: that they could have. But go to a big state 718 00:36:39,040 --> 00:36:41,759 Speaker 1: school and what's the likely outcome ten years, twenty years, 719 00:36:41,760 --> 00:36:42,399 Speaker 1: thirty years later. 720 00:36:42,600 --> 00:36:46,040 Speaker 2: But at the most fundamental level, it is a violation 721 00:36:46,160 --> 00:36:48,799 Speaker 2: of the egal Protection Clause for any institution to look 722 00:36:48,800 --> 00:36:51,600 Speaker 2: at somebody and say, your skin color is this his? 723 00:36:51,800 --> 00:36:53,760 Speaker 2: Is that you get something different? 724 00:36:54,440 --> 00:36:54,920 Speaker 3: Well stop