1 00:00:11,697 --> 00:00:14,977 Speaker 1: You're listening to the Buck Sexton Show podcast, make sure 2 00:00:14,977 --> 00:00:17,977 Speaker 1: you subscribe to the podcast on the iHeartRadio app or 3 00:00:18,017 --> 00:00:19,737 Speaker 1: wherever you get your podcasts. 4 00:00:20,337 --> 00:00:24,857 Speaker 2: Is Michelle Obama the most overrated person of our lifetime? 5 00:00:25,297 --> 00:00:28,177 Speaker 2: To answer this question that the masters are clamoring for 6 00:00:28,257 --> 00:00:30,657 Speaker 2: answers too, we are joined for the first time by 7 00:00:30,697 --> 00:00:34,777 Speaker 2: Peachey Canaan. She is an author and a commentator and 8 00:00:34,937 --> 00:00:38,017 Speaker 2: author of the book Domestic Extremist, which I would highly 9 00:00:38,017 --> 00:00:39,617 Speaker 2: recommend to all of you and is in the background 10 00:00:39,657 --> 00:00:41,817 Speaker 2: for those of you watching us on Twitter. Peachee, I'll 11 00:00:41,817 --> 00:00:43,977 Speaker 2: hand this question off to you. I'm sure you've seen 12 00:00:44,457 --> 00:00:52,017 Speaker 2: some of Michelle's podcast entries so far, and wow, yeah, that's. 13 00:00:51,817 --> 00:00:52,737 Speaker 1: A that's a great question. 14 00:00:52,777 --> 00:00:56,817 Speaker 3: But I would say she's probably second to her illustrious husband. 15 00:00:57,377 --> 00:00:59,617 Speaker 3: It must run in the run in their family. But yeah, 16 00:00:59,697 --> 00:01:02,297 Speaker 3: her her podcast is really funny. I think there was. 17 00:01:02,497 --> 00:01:05,497 Speaker 3: It's very obviously. I think what happened there after the 18 00:01:05,537 --> 00:01:09,057 Speaker 3: November election, all the like you know, Pods of America 19 00:01:09,097 --> 00:01:12,377 Speaker 3: bros were like, we need podcasts, we need a better 20 00:01:12,417 --> 00:01:15,777 Speaker 3: we need better messengers Trump one because of Rogan and 21 00:01:15,817 --> 00:01:19,537 Speaker 3: all these bro podcasts. What can we do to reclaim 22 00:01:20,217 --> 00:01:23,177 Speaker 3: podcasting for the Democrats, and like, who was the first 23 00:01:23,217 --> 00:01:27,817 Speaker 3: person they called Michelle Obama because America is dying to 24 00:01:27,857 --> 00:01:31,057 Speaker 3: hear from her, and uh yeah, her and her weird 25 00:01:31,097 --> 00:01:34,337 Speaker 3: brother who looks like a looks like a drag queen 26 00:01:34,497 --> 00:01:36,937 Speaker 3: out of his makeup, doesn't he Like, they're just so 27 00:01:37,137 --> 00:01:37,897 Speaker 3: very weird pair. 28 00:01:38,137 --> 00:01:40,497 Speaker 1: I don't know, no one's watching this right, Like, are 29 00:01:40,497 --> 00:01:41,177 Speaker 1: you watching this? Like? 30 00:01:41,257 --> 00:01:43,297 Speaker 2: Does anyone wanting I see some of the clips. I 31 00:01:43,337 --> 00:01:45,497 Speaker 2: will tell you. As I was talking with this on radio, 32 00:01:45,577 --> 00:01:48,857 Speaker 2: my wife, who is always up on the latest media 33 00:01:48,897 --> 00:01:50,737 Speaker 2: eyed stuff because she used to work at Fox News, 34 00:01:51,017 --> 00:01:54,257 Speaker 2: she sent me that Michelle Obama's podcast on you know YouTube. 35 00:01:54,297 --> 00:01:56,697 Speaker 2: You can see the views it has in three or 36 00:01:56,697 --> 00:01:59,617 Speaker 2: four episodes. The audience has gone from I think a 37 00:01:59,657 --> 00:02:02,977 Speaker 2: couple hundred thousand down to it's cut in half, which 38 00:02:03,017 --> 00:02:05,257 Speaker 2: is not what you would expect for a former First lady, 39 00:02:05,257 --> 00:02:07,737 Speaker 2: with the entire media not only rooting for her but 40 00:02:07,857 --> 00:02:10,577 Speaker 2: telling you that she is simultaneously a saint genius and 41 00:02:10,657 --> 00:02:13,217 Speaker 2: the greatest person I know. I don't want to fight 42 00:02:13,257 --> 00:02:15,697 Speaker 2: with you, Peach, but I'll say this with Barack Obama, 43 00:02:16,297 --> 00:02:21,737 Speaker 2: if you criticized him, you were racist. With uh. With 44 00:02:21,937 --> 00:02:26,217 Speaker 2: Michelle Obama, if you criticized her, you were you were 45 00:02:26,377 --> 00:02:29,217 Speaker 2: actually hitler, and that's that's I think those were the rules, 46 00:02:30,417 --> 00:02:31,977 Speaker 2: right Yeah. 47 00:02:32,017 --> 00:02:35,977 Speaker 3: I think it's incredible hubris of these first ladies. I 48 00:02:35,977 --> 00:02:39,617 Speaker 3: think Hillary Clinton is another example of this, who think 49 00:02:39,657 --> 00:02:42,817 Speaker 3: that because their husbands won, because they had some political 50 00:02:42,857 --> 00:02:46,497 Speaker 3: flare or whatever, that they also won something like they 51 00:02:46,617 --> 00:02:50,737 Speaker 3: also were awarded best Personality of the Year or whatever 52 00:02:50,737 --> 00:02:52,737 Speaker 3: it is, and they go on to have these media 53 00:02:52,817 --> 00:02:55,537 Speaker 3: careers and I'm not really sure what and they're just 54 00:02:55,577 --> 00:02:58,337 Speaker 3: completely propped up by I don't know. I mean, she 55 00:02:58,377 --> 00:03:00,297 Speaker 3: did sell a lot of books, Okay, she did have 56 00:03:00,337 --> 00:03:03,217 Speaker 3: these big book tours and sell million millions of books supposedly, 57 00:03:03,217 --> 00:03:05,217 Speaker 3: although I would go to Costco and there'd be a 58 00:03:05,297 --> 00:03:08,457 Speaker 3: huge stack of Michelle Obama books, you know, discounted for 59 00:03:08,537 --> 00:03:09,697 Speaker 3: like four ninety nine inah. 60 00:03:10,297 --> 00:03:13,697 Speaker 2: So this is so funny to me because I've thought 61 00:03:13,697 --> 00:03:17,457 Speaker 2: about this many times because I've been in people's homes 62 00:03:17,497 --> 00:03:20,057 Speaker 2: and one of the things that you can tell about somebody, right, well, rather, 63 00:03:20,257 --> 00:03:21,417 Speaker 2: all you really need to do to know a lot 64 00:03:21,457 --> 00:03:22,657 Speaker 2: about a person is first of all, do they have 65 00:03:22,657 --> 00:03:25,257 Speaker 2: any books in their home? And then second of all, 66 00:03:25,777 --> 00:03:27,977 Speaker 2: when you look at the books they have, are these 67 00:03:27,977 --> 00:03:29,937 Speaker 2: books that are for reading or books that are for showing? 68 00:03:30,537 --> 00:03:35,457 Speaker 2: And I think Michelle Obama books are books that people have, 69 00:03:35,657 --> 00:03:37,777 Speaker 2: even if it's not a coffee table book, they haven't 70 00:03:37,897 --> 00:03:40,217 Speaker 2: like on or near the coffee table or like prominent 71 00:03:40,257 --> 00:03:43,137 Speaker 2: on the shelf because it's a you know, hey, look 72 00:03:43,177 --> 00:03:45,657 Speaker 2: at me. I think I would guess, And there's no 73 00:03:45,697 --> 00:03:48,217 Speaker 2: way of ever knowing because people people all lie about how. 74 00:03:48,137 --> 00:03:48,697 Speaker 4: Much they read. 75 00:03:48,737 --> 00:03:51,497 Speaker 2: They certainly lie about what books they've read, what books 76 00:03:51,497 --> 00:03:57,537 Speaker 2: they read, what books they've read. Sorry, but the truth 77 00:03:57,537 --> 00:03:59,457 Speaker 2: to me is that Michelle Obama books, of the people 78 00:03:59,497 --> 00:04:01,537 Speaker 2: who bought them, I would guess less than ten percent 79 00:04:01,697 --> 00:04:03,817 Speaker 2: actually read the book in any meaning. 80 00:04:04,017 --> 00:04:04,897 Speaker 1: Right, it's right. 81 00:04:04,897 --> 00:04:06,737 Speaker 3: But if you have the book and someone sees it 82 00:04:06,777 --> 00:04:12,057 Speaker 3: in your house, they know you're not racists. Yeah, it's 83 00:04:12,177 --> 00:04:14,777 Speaker 3: it's right next to white fragility, you know, and maybe 84 00:04:14,817 --> 00:04:19,057 Speaker 3: like an Ebram X Candy children's book or whatever, and 85 00:04:19,697 --> 00:04:22,017 Speaker 3: you know whatever those little he was making, like anti 86 00:04:22,177 --> 00:04:23,977 Speaker 3: anti racist baby board books. 87 00:04:23,977 --> 00:04:25,057 Speaker 1: You remember, it's all this whole. 88 00:04:25,697 --> 00:04:29,457 Speaker 3: I'm not a racist because I have the correct media, 89 00:04:29,977 --> 00:04:32,777 Speaker 3: the correct media diet, so I'm allowed. 90 00:04:32,457 --> 00:04:35,337 Speaker 2: To be white My favorite coffee shop when I lived 91 00:04:35,377 --> 00:04:36,977 Speaker 2: in New York that was near me was a place 92 00:04:37,017 --> 00:04:42,017 Speaker 2: called Ground Central, and it was exactly I mean it was. 93 00:04:42,057 --> 00:04:44,377 Speaker 2: You could look at the entire this was in Manhattan. 94 00:04:45,057 --> 00:04:50,017 Speaker 2: Tire staff clearly came in from like transitioning parts of Brooklyn, right. 95 00:04:50,777 --> 00:04:52,097 Speaker 4: They were all white. 96 00:04:53,177 --> 00:04:55,497 Speaker 2: They're all coming in from like you know, their bedsty, 97 00:04:56,097 --> 00:04:59,097 Speaker 2: you know share uh and you know they they've stopped 98 00:04:59,097 --> 00:05:01,257 Speaker 2: like pickling their own beats or whatever for a minute 99 00:05:01,257 --> 00:05:03,337 Speaker 2: to come here. Now, I will say the coffee, the 100 00:05:03,377 --> 00:05:06,577 Speaker 2: coffee was amazing. But but and that's why I had 101 00:05:06,577 --> 00:05:10,097 Speaker 2: to keep going there reading shelf that they had. I 102 00:05:10,177 --> 00:05:11,857 Speaker 2: used to take photos of this because I was it 103 00:05:11,937 --> 00:05:16,337 Speaker 2: was so immaculately curated to show everybody what the people 104 00:05:16,377 --> 00:05:19,377 Speaker 2: who worked in this store wanted people to believe they're about. 105 00:05:19,417 --> 00:05:19,857 Speaker 4: It was all that. 106 00:05:20,097 --> 00:05:24,377 Speaker 2: It was Ibra Mix, Kendy, Michelle Obama, Tana Hesse Coates. 107 00:05:24,377 --> 00:05:27,857 Speaker 2: It was like like not a they never I never once, 108 00:05:27,937 --> 00:05:30,297 Speaker 2: with the exception of Robin DiAngelo. And I mean this, 109 00:05:30,377 --> 00:05:32,417 Speaker 2: And I got my coffee there every day. Saw on 110 00:05:32,457 --> 00:05:35,617 Speaker 2: their reading shelf, which was like prominently displayed a book 111 00:05:35,617 --> 00:05:39,937 Speaker 2: written by a white person. Not allowed, not not Okay, no, 112 00:05:39,977 --> 00:05:42,177 Speaker 2: that's so anyway, So you buy a Michelle Obama book 113 00:05:42,177 --> 00:05:43,617 Speaker 2: and it's it's like, you get it all done. 114 00:05:43,617 --> 00:05:44,937 Speaker 4: You don't even have to have the whole shelf. You 115 00:05:44,977 --> 00:05:46,057 Speaker 4: just show everybody who you are. 116 00:05:46,217 --> 00:05:50,577 Speaker 3: Actually that I think the Harvard English Literature curriculum probably 117 00:05:50,617 --> 00:05:54,777 Speaker 3: matches the Starbucks that that that your coffee shops. 118 00:05:55,137 --> 00:05:56,657 Speaker 1: No, I'm sure recommended booklets. 119 00:05:56,817 --> 00:05:57,017 Speaker 4: Yeah. 120 00:05:57,177 --> 00:05:59,777 Speaker 2: I can't even imagine. When I went to AMers twenty 121 00:06:01,257 --> 00:06:04,257 Speaker 2: twenty something years ago. Now it was our Yeah, it 122 00:06:04,297 --> 00:06:07,537 Speaker 2: was already insane. And I try to tell people stories 123 00:06:07,537 --> 00:06:09,137 Speaker 2: and they're like, there's no way it was that crazy. 124 00:06:09,137 --> 00:06:11,737 Speaker 2: I'm like, no, no, I promise it was just as crazy. 125 00:06:11,897 --> 00:06:12,137 Speaker 4: You know. 126 00:06:12,697 --> 00:06:14,777 Speaker 2: I was gonna say Trump is Hitler, Bush's Hitler, and 127 00:06:14,817 --> 00:06:17,657 Speaker 2: like we're fascist. Flag burning after nine to eleven that 128 00:06:17,737 --> 00:06:20,617 Speaker 2: happened on my campus, Like yeah, it was real. 129 00:06:20,857 --> 00:06:22,457 Speaker 4: Oh yeah, and that was a real thing. I was there. 130 00:06:22,577 --> 00:06:24,977 Speaker 2: I mean, obviously not burning the flags. They had cops there, 131 00:06:25,297 --> 00:06:27,417 Speaker 2: classic lib thing. They had to make sure the cops 132 00:06:27,417 --> 00:06:29,897 Speaker 2: were there because they knew that if they just did 133 00:06:29,897 --> 00:06:32,937 Speaker 2: this people would punch them, so they had the cops 134 00:06:32,937 --> 00:06:35,577 Speaker 2: there to defend them. Burning the American flag after nine 135 00:06:35,577 --> 00:06:37,937 Speaker 2: to eleven because they want to stick it to the patriarchy. 136 00:06:37,977 --> 00:06:40,297 Speaker 2: I'm like, except for these cops who are dudes with 137 00:06:40,377 --> 00:06:43,257 Speaker 2: guns that you're begging to protect you, let's come back 138 00:06:43,417 --> 00:06:45,137 Speaker 2: you mentioned Harvard. I actually want to dive into this 139 00:06:45,177 --> 00:06:47,617 Speaker 2: with you and talk. I know you've got got a 140 00:06:47,657 --> 00:06:49,497 Speaker 2: couple of kids go through the college process, so I'll 141 00:06:49,497 --> 00:06:51,777 Speaker 2: find this to be a lot of fun, maybe cathartic. 142 00:06:51,817 --> 00:06:55,177 Speaker 2: Even looking out for the lives of unborn children is 143 00:06:55,177 --> 00:06:57,737 Speaker 2: what Preborn does day in and day out. Their highest 144 00:06:57,737 --> 00:07:01,337 Speaker 2: priority is saving the lives of as many pregnant babies 145 00:07:01,337 --> 00:07:04,177 Speaker 2: as possible. 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So Trump is 163 00:08:03,737 --> 00:08:08,057 Speaker 2: going after Harvard, which is I love and I'd say 164 00:08:08,057 --> 00:08:09,337 Speaker 2: these people do It's not just Harvard. I'd love it 165 00:08:09,337 --> 00:08:10,697 Speaker 2: if you did it to AMers too, and I went there. 166 00:08:10,697 --> 00:08:11,137 Speaker 4: I don't care. 167 00:08:11,377 --> 00:08:14,657 Speaker 2: I think this is fantastic. Why do you think it's fantastic. 168 00:08:14,657 --> 00:08:16,417 Speaker 2: I'm guessing you at least feel that way about it. 169 00:08:18,457 --> 00:08:20,097 Speaker 1: Yeah, I love it. I you know, I went to 170 00:08:20,097 --> 00:08:20,777 Speaker 1: the Ivy League. 171 00:08:20,977 --> 00:08:23,097 Speaker 3: I didn't didn't go to Harvard. But I think they 172 00:08:23,097 --> 00:08:25,337 Speaker 3: should all, you know, burn them all down at this. 173 00:08:25,297 --> 00:08:27,617 Speaker 2: Point, and not just Cornell, because if you went to Cornell, 174 00:08:27,697 --> 00:08:29,737 Speaker 2: I think I have to make fun, okay, because I 175 00:08:29,737 --> 00:08:32,537 Speaker 2: love I love the Cornell people who are always like, well, 176 00:08:32,537 --> 00:08:34,057 Speaker 2: I went to an Ivy League school, and it's just 177 00:08:34,097 --> 00:08:35,737 Speaker 2: like if you say that and not the name, it's 178 00:08:35,817 --> 00:08:36,577 Speaker 2: usually Cornell. 179 00:08:37,777 --> 00:08:39,377 Speaker 1: I'm not thinking I don't want to be docs, but 180 00:08:39,617 --> 00:08:40,577 Speaker 1: I yeah, I did. I did. 181 00:08:40,657 --> 00:08:42,777 Speaker 3: I did not go to Cornell or Harvard. You can 182 00:08:42,897 --> 00:08:45,817 Speaker 3: use you know, keep guessing, but I won't tell you. 183 00:08:45,897 --> 00:08:49,297 Speaker 3: But anyway, they're all like this, not just Harvard. The 184 00:08:49,417 --> 00:08:53,417 Speaker 3: ucs here in California are like this. Also with the numbers. 185 00:08:53,497 --> 00:08:56,097 Speaker 3: I just wrote an article about this at tom Clint 186 00:08:56,297 --> 00:09:01,857 Speaker 3: Klingenstein dot com called poisoned IVYS, which is about how, 187 00:09:02,657 --> 00:09:06,017 Speaker 3: you know, the great replacement or whatever has already been 188 00:09:06,057 --> 00:09:10,977 Speaker 3: completed at many of these elite institutions were large numbers 189 00:09:11,017 --> 00:09:15,657 Speaker 3: of the student body is no longer American, and not 190 00:09:15,737 --> 00:09:20,137 Speaker 3: even like you know, undocumented whatever American like people here, 191 00:09:20,217 --> 00:09:22,417 Speaker 3: like you know, the children of illegals, the dreamers, not 192 00:09:22,457 --> 00:09:22,937 Speaker 3: even them. 193 00:09:23,137 --> 00:09:24,657 Speaker 1: People who literally arrive in this. 194 00:09:24,697 --> 00:09:27,737 Speaker 3: Country for the first day of school can kind of 195 00:09:27,737 --> 00:09:30,897 Speaker 3: barely speak English from you know, the Chinese mainland and. 196 00:09:32,297 --> 00:09:35,497 Speaker 1: The Gulf States, and you know, rich, rich people from 197 00:09:35,537 --> 00:09:39,377 Speaker 1: around the world are coming into these schools and what 198 00:09:39,457 --> 00:09:41,657 Speaker 1: is it a thirty percent including grad school at Harvard, 199 00:09:41,657 --> 00:09:45,737 Speaker 1: and I think similarly at UCLA. Okay, and like in 200 00:09:45,817 --> 00:09:48,977 Speaker 1: terms of UCLA, like the state schools, these are schools 201 00:09:48,977 --> 00:09:51,897 Speaker 1: that we pay for, like Californians pay for these schools. 202 00:09:51,977 --> 00:09:56,817 Speaker 1: We fund these state schools UCLA, Berkeley, UC San Diego. 203 00:09:56,857 --> 00:09:57,977 Speaker 1: These were schools. 204 00:09:58,537 --> 00:10:03,057 Speaker 2: Built your tax dollars from your property taxes, your income 205 00:10:03,057 --> 00:10:06,057 Speaker 2: taxes in California, which you're insane, is the reason that 206 00:10:06,137 --> 00:10:07,777 Speaker 2: UCLA et cetera exists. 207 00:10:08,577 --> 00:10:12,457 Speaker 3: Right, We pay for them to educate California kids. That's 208 00:10:12,497 --> 00:10:14,417 Speaker 3: the goal of these schools, just like the University of 209 00:10:14,457 --> 00:10:18,497 Speaker 3: Texas is for largely kids in Texas. Right, these state 210 00:10:18,537 --> 00:10:22,337 Speaker 3: schools should be educating majority of the kids in California. 211 00:10:22,617 --> 00:10:25,057 Speaker 3: And then there's out of state kids too who go like, yes, 212 00:10:25,297 --> 00:10:27,457 Speaker 3: from another state, you should be Yes, you're allowed in 213 00:10:27,497 --> 00:10:27,737 Speaker 3: to U. 214 00:10:27,817 --> 00:10:29,897 Speaker 1: See you pay high way harder tuition. 215 00:10:30,697 --> 00:10:33,617 Speaker 3: Fine, you want to put a few international kids who 216 00:10:33,617 --> 00:10:36,537 Speaker 3: are like some kind of spectacular nerds or whatever, you know, 217 00:10:36,697 --> 00:10:40,377 Speaker 3: super nerds, you know, into MIT whatever. Great, But in 218 00:10:40,457 --> 00:10:44,337 Speaker 3: these huge numbers, what it's done is made these schools 219 00:10:44,697 --> 00:10:48,657 Speaker 3: just honestly so difficult to get into. On top of 220 00:10:48,817 --> 00:10:53,937 Speaker 3: just the regular American you know, DEI, affirmative action filters, 221 00:10:53,977 --> 00:10:56,657 Speaker 3: like you have all of this. So if you're just like, 222 00:10:56,737 --> 00:10:59,737 Speaker 3: let's say, a very high achieving, you know, straight white 223 00:10:59,817 --> 00:11:02,817 Speaker 3: kid who isn't gay or trans or queer or whatever 224 00:11:03,377 --> 00:11:05,697 Speaker 3: and has a very high GPA and does great on 225 00:11:05,737 --> 00:11:09,537 Speaker 3: the SATs and stuff, he's literally got no shot unless 226 00:11:09,537 --> 00:11:14,577 Speaker 3: he's a superstar varsity athlete or has some other extraordinary 227 00:11:14,857 --> 00:11:17,937 Speaker 3: you know, capability in him. There's just no shot. Ucla 228 00:11:18,817 --> 00:11:21,377 Speaker 3: was my safety school, Okay. When I went to college, 229 00:11:21,537 --> 00:11:23,457 Speaker 3: Ucla was like beneath me, Like I was like I 230 00:11:23,457 --> 00:11:24,577 Speaker 3: would never have been caught dead. 231 00:11:24,737 --> 00:11:27,137 Speaker 1: Like, let's just like now it. 232 00:11:27,097 --> 00:11:29,897 Speaker 3: Had because it had like a fifty sixty seventy percent acceptance, right, 233 00:11:30,057 --> 00:11:32,457 Speaker 3: you know, I wanted to go to like a fancy 234 00:11:32,537 --> 00:11:35,577 Speaker 3: private school in the East Coast. Now UCLA is eight 235 00:11:35,617 --> 00:11:42,737 Speaker 3: percent acceptance, Okay, eight percent. That's insane to me. Yeah, 236 00:11:42,737 --> 00:11:45,417 Speaker 3: and then all the spots, So how many spots are 237 00:11:45,457 --> 00:11:49,097 Speaker 3: actually in each freshman class for kids like kids like 238 00:11:49,097 --> 00:11:53,977 Speaker 3: my son California, you know, can't check any diversity boxes 239 00:11:54,217 --> 00:11:57,337 Speaker 3: high achieving, Like, how many spots in that class go 240 00:11:57,417 --> 00:11:58,057 Speaker 3: to kids like that? 241 00:11:58,577 --> 00:12:01,577 Speaker 1: Like one hundred spots? Like very small, They're just. 242 00:12:01,537 --> 00:12:04,857 Speaker 3: Being taken up by so many of these foreign students 243 00:12:04,897 --> 00:12:07,137 Speaker 3: who are paying yes, full price, and so seeing it 244 00:12:07,177 --> 00:12:11,057 Speaker 3: happen at Harvard is thrilling. And they meanwhile, half of 245 00:12:11,097 --> 00:12:12,937 Speaker 3: them are what Chinese CCP spies. 246 00:12:13,337 --> 00:12:14,057 Speaker 4: Well, this is the other. 247 00:12:14,217 --> 00:12:17,857 Speaker 2: So there's I break this down peach into there's the 248 00:12:17,897 --> 00:12:20,377 Speaker 2: America first component of this, which I think that is 249 00:12:20,497 --> 00:12:24,097 Speaker 2: very apt for this aspect of it in California couldn't 250 00:12:24,097 --> 00:12:26,537 Speaker 2: be any more clear. I mean state schools. You're you're 251 00:12:26,737 --> 00:12:30,457 Speaker 2: educating foreign kids in our state schools in huge numbers, right, 252 00:12:30,777 --> 00:12:33,217 Speaker 2: you know, you want to talk about like diversity. I'm 253 00:12:33,217 --> 00:12:35,457 Speaker 2: a little bit okay with the idea of a small 254 00:12:35,457 --> 00:12:38,617 Speaker 2: percentage of the student body comes from other countries, because 255 00:12:38,617 --> 00:12:41,097 Speaker 2: that is kind of interesting. But I want it to 256 00:12:41,097 --> 00:12:44,817 Speaker 2: be I want it to be five percent, maybe ten percent, 257 00:12:45,497 --> 00:12:51,057 Speaker 2: max max mit thirty percent. You Penn thirty percent, Harvard 258 00:12:51,137 --> 00:12:56,577 Speaker 2: thirty foreign kids. I think Colombia is more like fifty percent. 259 00:12:56,657 --> 00:12:57,777 Speaker 2: I mean these schools. 260 00:12:57,857 --> 00:12:58,857 Speaker 1: Columbia is really weird. 261 00:12:58,937 --> 00:13:01,617 Speaker 2: Yeah, Columbia is super high. These schools are just full 262 00:13:01,617 --> 00:13:04,097 Speaker 2: of kids from all over the world. And by the way, 263 00:13:04,097 --> 00:13:05,937 Speaker 2: this whole notion of like oh well, like we're taking 264 00:13:05,937 --> 00:13:10,817 Speaker 2: the best of the best, full crap. They can't based 265 00:13:10,857 --> 00:13:13,657 Speaker 2: on what and this this idea that we shouldn't advantage. 266 00:13:13,697 --> 00:13:15,417 Speaker 2: So there's the America first components you would agree on. 267 00:13:15,457 --> 00:13:19,377 Speaker 2: But what you touched on about this as well is 268 00:13:19,377 --> 00:13:21,897 Speaker 2: is the the CCP. I mean, you look at MIT, 269 00:13:22,017 --> 00:13:24,137 Speaker 2: you look at where the government funding is in some 270 00:13:24,177 --> 00:13:26,497 Speaker 2: of these schools. Critically the schools you actually have to 271 00:13:26,497 --> 00:13:28,217 Speaker 2: be able to do something to go, which is kind 272 00:13:28,217 --> 00:13:30,377 Speaker 2: of to their to their credit, right, Like, you don't 273 00:13:30,377 --> 00:13:34,257 Speaker 2: go to cal Tech because Daddy donated the you know, 274 00:13:34,297 --> 00:13:36,057 Speaker 2: the the lounge room for the crew team, right, Like, 275 00:13:36,057 --> 00:13:38,257 Speaker 2: if you go to cal Tech, my chances are you 276 00:13:38,257 --> 00:13:40,737 Speaker 2: can do some math. I would assume, uh, same thing 277 00:13:40,777 --> 00:13:43,017 Speaker 2: with mi T Like if you go to these places, 278 00:13:43,297 --> 00:13:46,737 Speaker 2: there's a there's a skill set that but they also 279 00:13:46,777 --> 00:13:49,777 Speaker 2: do things like figure out how to do missile technology 280 00:13:50,017 --> 00:13:55,017 Speaker 2: and they also work on drones. And the university technology 281 00:13:55,057 --> 00:13:58,777 Speaker 2: centers are infiltrated by the CCP and other places all 282 00:13:58,817 --> 00:14:01,817 Speaker 2: the time. We're supposed to think that they're really good 283 00:14:01,857 --> 00:14:03,897 Speaker 2: at keeping the stuff out of the hands of foreign students. 284 00:14:04,057 --> 00:14:06,017 Speaker 4: But why is the CCP so obsessed with sending their 285 00:14:06,057 --> 00:14:08,377 Speaker 4: kids here? Yeah? 286 00:14:08,417 --> 00:14:11,017 Speaker 1: I think it's obvious. What's happening there exploiting all these. 287 00:14:10,857 --> 00:14:15,297 Speaker 3: Loopholes and their children are these you know rich the 288 00:14:15,377 --> 00:14:18,137 Speaker 3: rich children of you know, the Chinese elite. But when 289 00:14:18,177 --> 00:14:22,177 Speaker 3: they come here, they're just another diversity quota box that 290 00:14:22,217 --> 00:14:25,417 Speaker 3: they've been able to check off. Oh, a student of 291 00:14:25,497 --> 00:14:28,697 Speaker 3: Asian descent, a foreign student, and so that makes the 292 00:14:28,737 --> 00:14:31,257 Speaker 3: school feel good, look good. Look at our numbers they 293 00:14:31,297 --> 00:14:34,137 Speaker 3: love to put in the brochure, over fifty percent you know, 294 00:14:34,257 --> 00:14:39,297 Speaker 3: minority whatever students. These children are not minorities in China. 295 00:14:39,337 --> 00:14:39,697 Speaker 1: They're not. 296 00:14:40,177 --> 00:14:42,617 Speaker 3: No Chinese person is a minority, like in the world, 297 00:14:42,657 --> 00:14:45,137 Speaker 3: like chin Chinese are like what a third of the world, Like, 298 00:14:45,177 --> 00:14:46,657 Speaker 3: they're not minorities. 299 00:14:46,697 --> 00:14:50,657 Speaker 2: Okay, yeah, they're Chinese are the least minority people on 300 00:14:50,697 --> 00:14:52,337 Speaker 2: a global scale, right in existence? 301 00:14:53,177 --> 00:14:56,057 Speaker 3: Right, they don't need our schools like, they do not 302 00:14:56,257 --> 00:14:59,177 Speaker 3: need our schools. They have plenty of schools. Why are 303 00:14:59,217 --> 00:15:01,577 Speaker 3: they so interested in sending it here? Is it for 304 00:15:01,657 --> 00:15:04,537 Speaker 3: the prestige of Harvard? Okay, they can go and brag 305 00:15:04,577 --> 00:15:07,057 Speaker 3: if their kid is at the American university? Is it 306 00:15:07,097 --> 00:15:09,697 Speaker 3: so their children can then have anchor babies and they 307 00:15:09,697 --> 00:15:12,897 Speaker 3: can all then now the whole family gets a passport. 308 00:15:13,017 --> 00:15:15,217 Speaker 1: This is what I tell access to the United States. 309 00:15:15,297 --> 00:15:18,177 Speaker 2: Okay, well you see this in California. And I've been 310 00:15:18,257 --> 00:15:20,217 Speaker 2: using this argument for years because of people it's always 311 00:15:20,257 --> 00:15:22,937 Speaker 2: like what about the dreamers, and like you know, uh, 312 00:15:23,297 --> 00:15:25,137 Speaker 2: you know, a little so and so just came across 313 00:15:25,137 --> 00:15:27,057 Speaker 2: the border. He's going to start the next school. I'm like, okay, 314 00:15:27,217 --> 00:15:29,737 Speaker 2: this is on the birthright citizenship issue a whole. On 315 00:15:29,737 --> 00:15:32,217 Speaker 2: a second, in California, they have hotels. I know you 316 00:15:32,257 --> 00:15:35,657 Speaker 2: know this, but for the audience, they have hotels. We're Chinese, 317 00:15:35,737 --> 00:15:38,857 Speaker 2: and it's overwhelmingly Chinese who do this. Chinese show up, 318 00:15:39,257 --> 00:15:42,657 Speaker 2: give birth, go back to China, and then come back 319 00:15:42,737 --> 00:15:46,497 Speaker 2: when they're eighteen with a US passport in hand, go 320 00:15:46,537 --> 00:15:50,977 Speaker 2: to UCLA or USC or whatever with their with their 321 00:15:51,017 --> 00:15:54,897 Speaker 2: American citizenship, even though they are fully Chinese, and then 322 00:15:54,937 --> 00:15:57,697 Speaker 2: they sponsor their whole family to come over here and we're. 323 00:15:57,897 --> 00:16:01,897 Speaker 1: H and they pay and then they pay in state tuition. 324 00:16:02,497 --> 00:16:06,177 Speaker 3: Yeah, yeah, fourteen thousand a year versus like forty out 325 00:16:06,177 --> 00:16:07,257 Speaker 3: of state or foreign. 326 00:16:07,777 --> 00:16:09,177 Speaker 1: So it's a complete scam. Yeah. 327 00:16:09,217 --> 00:16:13,097 Speaker 3: In the in Orange, they have these houses and they're 328 00:16:13,137 --> 00:16:16,537 Speaker 3: just Chinese anchor baby mills, and they'll be a home 329 00:16:16,657 --> 00:16:20,457 Speaker 3: filled with like fifteen or twenty Chinese women and they 330 00:16:20,497 --> 00:16:24,137 Speaker 3: come here pregnant, they deliver and then go back and 331 00:16:24,177 --> 00:16:26,617 Speaker 3: they even have like a there's even a surrogacy industry 332 00:16:26,617 --> 00:16:30,897 Speaker 3: where Chinese couple in China will ship their frozen embryos 333 00:16:31,497 --> 00:16:34,657 Speaker 3: to a surrogate in one of these homes to have 334 00:16:34,697 --> 00:16:37,417 Speaker 3: their child, and then the child has flown back to 335 00:16:37,537 --> 00:16:39,937 Speaker 3: China for them, like they never even have to come here. 336 00:16:40,337 --> 00:16:41,337 Speaker 4: I hadn't even heard about it. 337 00:16:41,377 --> 00:16:43,857 Speaker 1: And that is that is yeah, and that's that is 338 00:16:43,897 --> 00:16:44,857 Speaker 1: Orange County. 339 00:16:44,937 --> 00:16:48,417 Speaker 3: These and I mean in the area around like Irvine, California, 340 00:16:48,457 --> 00:16:50,417 Speaker 3: which is like heavily Asian, and in fact. 341 00:16:50,257 --> 00:16:53,497 Speaker 1: You see Irvine, I mean I have friends there. 342 00:16:53,577 --> 00:16:56,377 Speaker 3: It's they their reports are like this is just a 343 00:16:56,417 --> 00:17:02,977 Speaker 3: completely one percent basically Chinese neat nationalists national school. It's 344 00:17:02,977 --> 00:17:07,137 Speaker 3: like the University of China in Irvine. I mean, you know, 345 00:17:07,257 --> 00:17:09,737 Speaker 3: you'd think, okay, we're here. Really, if it's going to 346 00:17:09,777 --> 00:17:11,977 Speaker 3: be any their country, it should be Mexico, like make 347 00:17:11,977 --> 00:17:15,057 Speaker 3: it the University of Mexico. But the Chinese have gained 348 00:17:15,177 --> 00:17:19,657 Speaker 3: the system. They're very smart, like we left these giant 349 00:17:19,657 --> 00:17:23,297 Speaker 3: holes and they're just coming through in in trucks loaded 350 00:17:23,337 --> 00:17:26,257 Speaker 3: with with their kids and we're letting and we're paying 351 00:17:26,297 --> 00:17:28,617 Speaker 3: for it, like we're paying to educate their children. 352 00:17:28,777 --> 00:17:30,937 Speaker 1: My son did not get into u C. L A. 353 00:17:32,497 --> 00:17:33,017 Speaker 4: There we go. 354 00:17:33,177 --> 00:17:35,217 Speaker 2: Yeah, I mean, look at what happened to Aunt Becky 355 00:17:35,377 --> 00:17:39,177 Speaker 2: from Full House, you know, ended up doing prison time 356 00:17:39,657 --> 00:17:42,177 Speaker 2: because I'm a huge am Becky fan. As a kid, 357 00:17:42,417 --> 00:17:46,097 Speaker 2: just trying to get you know, little Skylar Taylor or 358 00:17:46,137 --> 00:17:48,337 Speaker 2: whatever her daughter's name is. 359 00:17:47,897 --> 00:17:52,177 Speaker 4: Into us C. So USC, I think it was us C. 360 00:17:52,577 --> 00:17:57,297 Speaker 2: Yeah, yeah, USC, and like pretended she can row crew, 361 00:17:57,737 --> 00:17:59,617 Speaker 2: which that girl, I mean maybe she could have been 362 00:17:59,617 --> 00:18:00,737 Speaker 2: a Coxon, but like she was not. 363 00:18:00,977 --> 00:18:03,737 Speaker 1: You know, that's so ridiculous. 364 00:18:03,817 --> 00:18:05,977 Speaker 2: I know I dated a crew girl. I know crew girls. 365 00:18:06,017 --> 00:18:07,537 Speaker 2: Let me tell you that girl is not a crew girl. 366 00:18:07,577 --> 00:18:09,897 Speaker 1: Like they yeah, they'll yeah, they'll bench you. 367 00:18:10,457 --> 00:18:12,137 Speaker 4: It will bench you. Yeah, you gotta be into that 368 00:18:12,177 --> 00:18:12,617 Speaker 4: kind of thing. 369 00:18:12,697 --> 00:18:17,137 Speaker 3: So the funny thing about sorry, but the funniest thing 370 00:18:17,137 --> 00:18:20,737 Speaker 3: about USC is that, again you have this hyper competitive 371 00:18:20,817 --> 00:18:26,457 Speaker 3: environment around the University of Southern California, which is like 372 00:18:26,617 --> 00:18:29,577 Speaker 3: UCLA now has an acceptance rate of literally like eight 373 00:18:29,697 --> 00:18:33,017 Speaker 3: or seven percent, which you know, when I was going 374 00:18:33,057 --> 00:18:35,177 Speaker 3: to school, those were like unheard of numbers that was 375 00:18:35,217 --> 00:18:38,857 Speaker 3: like Caltech numbers like eight percent. But when I was 376 00:18:39,657 --> 00:18:42,697 Speaker 3: but when I was applying, USC had like forty percent acceptance, 377 00:18:43,177 --> 00:18:46,257 Speaker 3: like UCLA. These were not super competitive schools to get 378 00:18:46,297 --> 00:18:47,777 Speaker 3: into these schools. 379 00:18:47,817 --> 00:18:50,777 Speaker 2: What I've had to tell to all the my dad's generation, 380 00:18:50,897 --> 00:18:53,297 Speaker 2: my dad was a Wall Street guy. Uh, my dad's 381 00:18:53,297 --> 00:18:56,137 Speaker 2: generation of finance bros. Because they're just like, oh, like 382 00:18:56,377 --> 00:18:57,857 Speaker 2: when I came out, you know, my dad went to 383 00:18:57,857 --> 00:18:59,737 Speaker 2: Harvard Busins School. He's like, when I came out of school, 384 00:18:59,737 --> 00:19:01,737 Speaker 2: I had offers for every bank on the street, and 385 00:19:01,817 --> 00:19:04,697 Speaker 2: like we were having two Martini lunchers and like everything 386 00:19:04,777 --> 00:19:08,817 Speaker 2: was great because you weren't competing against Mumbai and Shanghai. 387 00:19:08,937 --> 00:19:11,217 Speaker 2: My man, Like I said, different world out there. 388 00:19:11,257 --> 00:19:14,417 Speaker 1: Now, that's right. We're we're made to compete. 389 00:19:14,457 --> 00:19:19,017 Speaker 3: Our kids are made to compete with kids from other countries. 390 00:19:19,217 --> 00:19:21,497 Speaker 3: Like before they've even got out of high school, they're 391 00:19:21,537 --> 00:19:24,817 Speaker 3: competing with the children of the ritually, yes, in India 392 00:19:24,817 --> 00:19:26,377 Speaker 3: and China and all around the world. And then they're 393 00:19:26,377 --> 00:19:30,097 Speaker 3: competing with those kids again for jobs and those kids 394 00:19:30,097 --> 00:19:30,937 Speaker 3: throughout their lives. 395 00:19:31,457 --> 00:19:37,337 Speaker 2: And diversity system is is it's a national resource. And 396 00:19:37,577 --> 00:19:40,217 Speaker 2: you'll notice that with very few exceptions, like yeah, Oxford. 397 00:19:40,417 --> 00:19:41,777 Speaker 2: You know, some people if they want to be like 398 00:19:42,177 --> 00:19:44,497 Speaker 2: really kind of euro fancy, you'll be like I'm going 399 00:19:44,497 --> 00:19:46,057 Speaker 2: through like Seance po or whatever. 400 00:19:46,177 --> 00:19:50,057 Speaker 4: Right, they'll go. Very few Americans go to overseas universities. 401 00:19:50,097 --> 00:19:51,697 Speaker 4: I mean it's a it's like a less than one 402 00:19:51,737 --> 00:19:53,457 Speaker 4: percent number. People just don't do this. 403 00:19:54,177 --> 00:19:56,697 Speaker 2: But yet in our country, it's the biggest countries in 404 00:19:56,737 --> 00:19:59,137 Speaker 2: the world, and countries from all over the world are 405 00:19:59,217 --> 00:20:01,537 Speaker 2: just I'm so glad Trump is on this, and i 406 00:20:01,577 --> 00:20:03,017 Speaker 2: think it's a big deal. I don't think it's a 407 00:20:03,017 --> 00:20:05,737 Speaker 2: small thing. I think it goes to US competitiveness and 408 00:20:05,737 --> 00:20:07,657 Speaker 2: everything else. Kind of just one more thought for you. 409 00:20:07,977 --> 00:20:11,057 Speaker 2: Did you see that the Harvard is the school professor 410 00:20:11,097 --> 00:20:15,417 Speaker 2: who was paid a million dollars a year was an 411 00:20:15,457 --> 00:20:20,177 Speaker 2: expert in honesty and was fired by Harvard for dishonesty. 412 00:20:20,257 --> 00:20:21,097 Speaker 4: That just happened. 413 00:20:22,577 --> 00:20:23,337 Speaker 1: That's so perfect. 414 00:20:24,697 --> 00:20:26,257 Speaker 4: It's like my favorite Harvard story ever. 415 00:20:26,297 --> 00:20:31,497 Speaker 2: I'm like, this overpaid phony whose expertise is dishonesty or 416 00:20:31,497 --> 00:20:35,137 Speaker 2: honesty or whatever, and she's fired for faking results in 417 00:20:35,177 --> 00:20:38,537 Speaker 2: the studies that prove her expertise. And this is this 418 00:20:38,577 --> 00:20:41,977 Speaker 2: is all Claudine Gay who was the former Harvard president. 419 00:20:43,137 --> 00:20:46,257 Speaker 2: This person she's the president of Harvard, you know. 420 00:20:46,337 --> 00:20:48,857 Speaker 3: I mean she's yeah, she was fired, but she wasn't 421 00:20:48,857 --> 00:20:50,937 Speaker 3: actually fired. She was like just he just switched John 422 00:20:51,457 --> 00:20:53,097 Speaker 3: get close to a million a year. 423 00:20:53,257 --> 00:20:54,017 Speaker 4: Yeah. Yeah. 424 00:20:54,017 --> 00:20:56,537 Speaker 2: They basically in the CIA, we call it getting sent 425 00:20:56,577 --> 00:20:58,257 Speaker 2: to the archives, Like they don't want to fire you, 426 00:20:58,257 --> 00:21:00,177 Speaker 2: but they send you somewhere where you can't do any damage, 427 00:21:00,177 --> 00:21:01,617 Speaker 2: you know, and you keep getting your right back. 428 00:21:02,297 --> 00:21:03,537 Speaker 4: She got sent to the archives. 429 00:21:03,977 --> 00:21:05,817 Speaker 1: Yes, so Harvard's off the list, you know. 430 00:21:05,937 --> 00:21:09,737 Speaker 4: Yeah, Harvard's off the list. PEG. Great to have you. 431 00:21:09,737 --> 00:21:11,177 Speaker 2: I hope come back soon. We got to get you 432 00:21:11,177 --> 00:21:14,137 Speaker 2: on Clay and Buck radio sometime. When you want loveash 433 00:21:14,537 --> 00:21:18,057 Speaker 2: the Chinese communists and how they're infiltrating and destroying our country. 434 00:21:18,057 --> 00:21:19,737 Speaker 4: I think that would be a good one. So what 435 00:21:19,777 --> 00:21:20,177 Speaker 4: do you say? 436 00:21:20,217 --> 00:21:23,217 Speaker 1: All Right, I love Chinese food. Okay, I'm not all bad? 437 00:21:23,257 --> 00:21:24,817 Speaker 4: Look good is great? 438 00:21:25,097 --> 00:21:26,537 Speaker 2: A lot of great A lot of some people are 439 00:21:26,537 --> 00:21:27,737 Speaker 2: saying a lot of a lot of you know, a 440 00:21:27,737 --> 00:21:30,537 Speaker 2: lot of great people. But yeah, totally I'm with you 441 00:21:30,577 --> 00:21:33,057 Speaker 2: on that. So go buy Domestic. When did domestic extreamists 442 00:21:33,057 --> 00:21:33,817 Speaker 2: come out? 443 00:21:34,177 --> 00:21:37,537 Speaker 1: It came out let's see. June twenty twenty three. 444 00:21:37,857 --> 00:21:40,577 Speaker 2: Oh okay, recent so Go buy Domestic Extreamist, everybody and 445 00:21:40,617 --> 00:21:41,697 Speaker 2: Peachee thanks for being here. 446 00:21:42,417 --> 00:21:43,017 Speaker 1: Thanks so much,