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 --> 00:00:24,937 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 00:00:30,737 --> 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. Peache, 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 --> 00:00:51,537 Speaker 2: some of Michelle's podcast entry so far, and wow, yeah, 13 00:00:51,617 --> 00:00:51,977 Speaker 2: that's a. 14 00:00:51,977 --> 00:00:52,737 Speaker 1: That's a great question. 15 00:00:52,777 --> 00:00:56,817 Speaker 3: But I would say she's probably second to her illustrious husband. 16 00:00:57,377 --> 00:00:59,617 Speaker 3: It must run in the run in their family. But yeah, 17 00:00:59,697 --> 00:01:01,657 Speaker 3: her her podcast is really funny. 18 00:01:01,697 --> 00:01:03,297 Speaker 1: I think there was. It's very obviously. 19 00:01:03,337 --> 00:01:06,817 Speaker 3: I think what happened there after the November election, all 20 00:01:06,937 --> 00:01:09,857 Speaker 3: the like you know, Pods of America bros were like, 21 00:01:10,417 --> 00:01:12,937 Speaker 3: we need podcasts, we need a better we need better 22 00:01:12,977 --> 00:01:17,377 Speaker 3: messengers Trump one because of Rogan and all these bro podcasts. 23 00:01:17,537 --> 00:01:21,897 Speaker 3: What can we do to reclaim podcasting for the Democrats, 24 00:01:21,977 --> 00:01:25,057 Speaker 3: and like, who was the first person they called Michelle 25 00:01:25,057 --> 00:01:29,457 Speaker 3: Obama because America is dying to hear from her, and 26 00:01:29,657 --> 00:01:32,377 Speaker 3: uh yeah, her and her weird brother who looks like 27 00:01:32,417 --> 00:01:35,417 Speaker 3: a looks like a drag queen out of his makeup, 28 00:01:35,657 --> 00:01:38,217 Speaker 3: doesn't he like they're just a very weird pair. I 29 00:01:38,257 --> 00:01:40,577 Speaker 3: don't know, no one's watching this right, Like, are you 30 00:01:40,617 --> 00:01:41,937 Speaker 3: watching this? Does anyone watching? 31 00:01:42,337 --> 00:01:43,977 Speaker 2: I see some of the clips? I will tell you. 32 00:01:44,097 --> 00:01:46,137 Speaker 2: As I was talking with this on radio, my wife, 33 00:01:46,577 --> 00:01:49,297 Speaker 2: who is always up on the latest media eyed stuff 34 00:01:49,297 --> 00:01:51,377 Speaker 2: because she used to work at Fox News. She sent 35 00:01:51,457 --> 00:01:54,337 Speaker 2: me that Michelle Obama's podcast on you know YouTube. You 36 00:01:54,337 --> 00:01:57,417 Speaker 2: can see the views it has in three or four episodes. 37 00:01:57,497 --> 00:02:00,297 Speaker 2: The audience has gone from I think a couple hundred 38 00:02:00,297 --> 00:02:03,217 Speaker 2: thousand down to it's cut in half, which is not 39 00:02:03,257 --> 00:02:05,297 Speaker 2: what you would expect for a former first lady, with 40 00:02:05,337 --> 00:02:08,137 Speaker 2: the entire media not only rooting for her but telling 41 00:02:08,137 --> 00:02:10,697 Speaker 2: you that she is simultaneously a saint genius and the 42 00:02:10,737 --> 00:02:13,657 Speaker 2: greatest person I know. I don't want to fight with you, Peach, 43 00:02:13,817 --> 00:02:17,777 Speaker 2: but I'll say this with Barack Obama, if you criticized him, 44 00:02:18,417 --> 00:02:23,657 Speaker 2: you were racist with uh with Michelle Obama, if you 45 00:02:23,697 --> 00:02:27,897 Speaker 2: criticized her, you were you were actually hitler, and that's 46 00:02:27,937 --> 00:02:32,017 Speaker 2: that's I think those were the rules, right, Yeah. 47 00:02:32,057 --> 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 --> 00:02:57,857 Speaker 3: completely propped up by I don't. 55 00:02:57,897 --> 00:02:59,457 Speaker 1: I mean, she did sell a lot of books. 56 00:02:59,577 --> 00:03:01,657 Speaker 3: Okay, she did have these big book tours and sell 57 00:03:01,697 --> 00:03:03,937 Speaker 3: million millions of books supposedly, although I would go to 58 00:03:03,977 --> 00:03:07,137 Speaker 3: Costco and there'd be a huge stack of Michelle Obama books, 59 00:03:07,377 --> 00:03:09,697 Speaker 3: you know, discounted for like four ninety nine each. 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 --> 00:03:18,817 Speaker 2: I mean, one of the things that you can tell 63 00:03:18,857 --> 00:03:21,017 Speaker 2: about somebody, right, well, rather, all you really need to 64 00:03:21,017 --> 00:03:22,217 Speaker 2: do to know a lot about a person is first 65 00:03:22,217 --> 00:03:23,457 Speaker 2: of all, do they have any books in their home? 66 00:03:24,297 --> 00:03:26,457 Speaker 2: And then second of all, when you look at the 67 00:03:26,457 --> 00:03:28,897 Speaker 2: books they have. Are these books that are for reading 68 00:03:28,937 --> 00:03:31,617 Speaker 2: or books that are for showing. And I think Michelle 69 00:03:31,657 --> 00:03:36,137 Speaker 2: Obama books are books that people have, even if it's 70 00:03:36,177 --> 00:03:38,177 Speaker 2: not a coffee table book, they have it like on 71 00:03:38,297 --> 00:03:40,417 Speaker 2: or near the coffee table, or like prominent on the 72 00:03:40,457 --> 00:03:43,417 Speaker 2: shelf because it's a you know, hey, look at me. 73 00:03:43,977 --> 00:03:45,937 Speaker 2: I think I would guess, And there's no way I've 74 00:03:45,937 --> 00:03:48,297 Speaker 2: ever known, because people people all lie about how much 75 00:03:48,337 --> 00:03:50,417 Speaker 2: they read. They certainly lie about what books they've read, 76 00:03:51,057 --> 00:03:55,017 Speaker 2: what books they read, what books they've read. Sorry, but 77 00:03:55,897 --> 00:03:59,137 Speaker 2: the truth to me is that Michelle Obama books, of 78 00:03:59,177 --> 00:04:00,937 Speaker 2: the people who bought them, I would guess less than 79 00:04:00,977 --> 00:04:02,537 Speaker 2: ten percent actually read the book. 80 00:04:03,217 --> 00:04:04,897 Speaker 1: In any 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 --> 00:04:11,897 Speaker 3: in your house, they know you're not racist. It yeah, 83 00:04:11,937 --> 00:04:14,457 Speaker 3: it's it's right next to white fragility, you know. And 84 00:04:14,497 --> 00:04:18,137 Speaker 3: maybe like an Ebram X Kendy children's book or whatever, 85 00:04:18,817 --> 00:04:21,577 Speaker 3: and you know whatever those little he was making like 86 00:04:21,697 --> 00:04:23,937 Speaker 3: anti 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 --> 00:04:32,977 Speaker 3: the correct media diet, so I'm allowed to be white. 90 00:04:33,457 --> 00:04:35,897 Speaker 2: My favorite coffee shop. When I lived in New York 91 00:04:35,937 --> 00:04:38,937 Speaker 2: that was near me was a place called Ground Central, 92 00:04:39,537 --> 00:04:42,417 Speaker 2: and it was exactly I mean it was. You could 93 00:04:42,417 --> 00:04:45,817 Speaker 2: look at the entire this was in Manhattan. Tire staff 94 00:04:45,897 --> 00:04:50,017 Speaker 2: clearly came in from like transitioning parts of Brooklyn, right. 95 00:04:50,777 --> 00:04:54,417 Speaker 2: They were all white. They're all coming in from like 96 00:04:54,457 --> 00:04:58,097 Speaker 2: you know, their bedsty, you know share uh and you 97 00:04:58,177 --> 00:05:00,497 Speaker 2: know they they've stopped like pickling their own beats or 98 00:05:00,537 --> 00:05:02,497 Speaker 2: whatever for a minute to come here. Now, I will 99 00:05:02,537 --> 00:05:05,937 Speaker 2: say the coffee, the coffee was amazing. But but and 100 00:05:05,977 --> 00:05:09,377 Speaker 2: that's why I had to keep going there reading shelf 101 00:05:09,377 --> 00:05:11,057 Speaker 2: that they had. I used to take photos of this 102 00:05:11,097 --> 00:05:14,657 Speaker 2: because I was it was so immaculately curated to show 103 00:05:14,697 --> 00:05:18,297 Speaker 2: everybody what the people who worked in this store wanted 104 00:05:18,337 --> 00:05:20,217 Speaker 2: people to believe they're about. It was all that. It 105 00:05:20,257 --> 00:05:24,457 Speaker 2: was Ibra Mix, Kendy, Michelle Obama, Tana Hesse Coates. It 106 00:05:24,497 --> 00:05:28,017 Speaker 2: was like like not they never I never once, with 107 00:05:28,057 --> 00:05:30,457 Speaker 2: the exception of Robin DiAngelo. And I mean this, And 108 00:05:30,457 --> 00:05:32,617 Speaker 2: I got my coffee there every day. Saw on their 109 00:05:32,697 --> 00:05:35,897 Speaker 2: reading shelf which was like prominently displayed a book written 110 00:05:35,937 --> 00:05:39,937 Speaker 2: by a white person. Not allowed. Not not okay, No, 111 00:05:39,977 --> 00:05:42,177 Speaker 2: that's so anyway, so you buy a Michelle Obama book 112 00:05:42,177 --> 00:05:43,657 Speaker 2: and it's it's like you get it all done. You 113 00:05:43,657 --> 00:05:45,017 Speaker 2: don't even have to have the whole shelf. You just 114 00:05:45,017 --> 00:05:46,097 Speaker 2: show everybody who you are. 115 00:05:46,217 --> 00:05:50,577 Speaker 3: Actually that I think the Harvard English Literature curriculum probably 116 00:05:50,617 --> 00:05:54,777 Speaker 3: matches the Starbucks that that your coffee shops. 117 00:05:55,137 --> 00:05:56,657 Speaker 1: No, I'm sure recommended booklets. 118 00:05:56,817 --> 00:05:59,257 Speaker 2: Yeah. I can't even imagine. When I went to AMers 119 00:05:59,457 --> 00:06:04,137 Speaker 2: twenty god twenty something years ago. Now it was our Yeah, 120 00:06:04,177 --> 00:06:07,177 Speaker 2: it was already insane. And I try to tell people 121 00:06:07,257 --> 00:06:09,137 Speaker 2: stories and they're like, there's no way it was that crazy. 122 00:06:09,137 --> 00:06:11,737 Speaker 2: I'm like, no, no, I promise it was just as crazy. 123 00:06:11,897 --> 00:06:14,057 Speaker 2: You know. I was gonna say Trump is Hitler, Bush 124 00:06:14,137 --> 00:06:16,897 Speaker 2: is Hitler, and like we're fascist. Flag burning after nine 125 00:06:16,937 --> 00:06:19,897 Speaker 2: to eleven that happened on my campus, Like yeah, it 126 00:06:19,937 --> 00:06:21,577 Speaker 2: was that was real. Oh yeah, and that was a 127 00:06:21,577 --> 00:06:23,577 Speaker 2: real thing. I was there. I mean, obviously not burning 128 00:06:23,617 --> 00:06:26,497 Speaker 2: the flags. They had cops there, classic lib thing. They 129 00:06:26,537 --> 00:06:28,497 Speaker 2: had to make sure the cops were there because they 130 00:06:28,577 --> 00:06:31,057 Speaker 2: knew that if they just did this people would punch them, 131 00:06:31,577 --> 00:06:34,377 Speaker 2: so they had the cops there to defend them. Burning 132 00:06:34,377 --> 00:06:36,497 Speaker 2: the American flag after nine to eleven because they want 133 00:06:36,537 --> 00:06:38,617 Speaker 2: to stick it to the patriarchy. I'm like, except for 134 00:06:38,657 --> 00:06:41,497 Speaker 2: these cops who are dudes with guns that you're begging 135 00:06:41,537 --> 00:06:44,177 Speaker 2: to protect you, let's come back. You mentioned Harvard. I 136 00:06:44,177 --> 00:06:46,097 Speaker 2: actually want to dive into this with you and talk. 137 00:06:46,417 --> 00:06:48,257 Speaker 2: I know you've got got a couple of kids go 138 00:06:48,297 --> 00:06:50,177 Speaker 2: through the college process, so I'll find this to be 139 00:06:50,457 --> 00:06:52,897 Speaker 2: a lot of fun, maybe cathartic even to talk about 140 00:06:52,937 --> 00:06:55,377 Speaker 2: the college process that's going on with Harvard. But our 141 00:06:55,377 --> 00:06:57,737 Speaker 2: sponsor here is Birch Gold, and owning gold is a 142 00:06:57,737 --> 00:06:59,337 Speaker 2: good thing. Just look at the price of gold over 143 00:06:59,377 --> 00:07:01,377 Speaker 2: the last ten years, the last thirty years. I've been 144 00:07:01,417 --> 00:07:04,177 Speaker 2: a gold guy for a long time and it has 145 00:07:04,217 --> 00:07:06,377 Speaker 2: paid off. Gold is up over forty percent of the 146 00:07:06,457 --> 00:07:08,977 Speaker 2: last year alone. If you're not invested in gold, now's 147 00:07:09,017 --> 00:07:10,977 Speaker 2: the time to do so. Burn Gold Group is the 148 00:07:11,017 --> 00:07:14,657 Speaker 2: company that I recommend. Trump administration is doing great stuff 149 00:07:14,657 --> 00:07:17,137 Speaker 2: in the economy book. That's not going away, that's only 150 00:07:17,137 --> 00:07:19,577 Speaker 2: getting bigger. That means more inflation, that means a dollar's 151 00:07:19,577 --> 00:07:22,377 Speaker 2: going to be devalued. This is just reality. Birch Gold 152 00:07:22,537 --> 00:07:24,297 Speaker 2: is there for you to get real gold or to 153 00:07:24,377 --> 00:07:26,937 Speaker 2: transition an existing I R era four O one k 154 00:07:27,057 --> 00:07:29,737 Speaker 2: into gold. Text my name Buck to ninety eight ninety 155 00:07:29,737 --> 00:07:32,177 Speaker 2: eight ninety eight. That's b U c K to ninety 156 00:07:32,217 --> 00:07:34,417 Speaker 2: eight ninety eight ninety eight and Birch Gold will send 157 00:07:34,457 --> 00:07:38,337 Speaker 2: you a free info kit on Gold no obligation. Text 158 00:07:38,337 --> 00:07:41,217 Speaker 2: my name Buck to ninety eight ninety eight ninety eight today. 159 00:07:41,777 --> 00:07:45,057 Speaker 2: All right, peachey. So Trump is going after Harvard, which 160 00:07:45,137 --> 00:07:48,137 Speaker 2: is I love and I'd say this people to do. It's 161 00:07:48,137 --> 00:07:49,177 Speaker 2: not just Harvard. I'd love it if you did it 162 00:07:49,177 --> 00:07:50,657 Speaker 2: to AMers too, and I went there. I don't care. 163 00:07:50,897 --> 00:07:54,137 Speaker 2: I think this is fantastic. Why do you think it's fantastic? 164 00:07:54,177 --> 00:07:55,937 Speaker 2: I'm guessing you at least feel that way about it. 165 00:07:57,977 --> 00:07:59,537 Speaker 1: Yeah, I love it. I you know, I went to 166 00:07:59,617 --> 00:08:00,257 Speaker 1: the Ivy League. 167 00:08:00,457 --> 00:08:02,577 Speaker 3: I didn't didn't go to Harvard, but I think they 168 00:08:02,577 --> 00:08:05,057 Speaker 3: should all, you know, burn them all down at this point, 169 00:08:05,177 --> 00:08:05,617 Speaker 3: and not. 170 00:08:05,497 --> 00:08:07,417 Speaker 2: Just Cornell because if you went to Cornell, I think 171 00:08:07,417 --> 00:08:09,817 Speaker 2: I have to make fun okay, because I love I 172 00:08:10,217 --> 00:08:12,097 Speaker 2: love the Cornell people who are always like, well, I 173 00:08:12,097 --> 00:08:13,697 Speaker 2: went to the Ivy League school and it's just like 174 00:08:13,777 --> 00:08:16,057 Speaker 2: if you say that and not the name, it's usually Cornell. 175 00:08:17,297 --> 00:08:19,497 Speaker 1: I'm not saying I don't want to be docs. But yeah, 176 00:08:19,497 --> 00:08:21,097 Speaker 1: I did, I did. I did not go to Cornell 177 00:08:21,297 --> 00:08:21,857 Speaker 1: or Harvard. 178 00:08:22,017 --> 00:08:24,457 Speaker 3: You can use you know, keep guessing, but I don't 179 00:08:24,457 --> 00:08:26,897 Speaker 3: want to tell you. But anyway, they're all like this, 180 00:08:27,177 --> 00:08:31,137 Speaker 3: not just Harvard. The ucs here in California are like 181 00:08:31,217 --> 00:08:33,897 Speaker 3: this also with the numbers. I just wrote an article 182 00:08:33,937 --> 00:08:39,017 Speaker 3: about this at tom clin Clingenstein dot com called poisoned IVS, 183 00:08:40,017 --> 00:08:44,257 Speaker 3: which is about how, you know, the great replacement or 184 00:08:44,297 --> 00:08:47,337 Speaker 3: whatever has already been completed at many of these elite 185 00:08:47,417 --> 00:08:53,097 Speaker 3: institutions where large numbers of the student body is no 186 00:08:53,257 --> 00:08:57,897 Speaker 3: longer American and not even like you know, undocumented whatever 187 00:08:57,977 --> 00:09:01,217 Speaker 3: American like people here, like you know, the children of illegals, 188 00:09:01,257 --> 00:09:02,417 Speaker 3: the dreamers, not even them. 189 00:09:02,657 --> 00:09:04,137 Speaker 1: People who literally arrive in this. 190 00:09:04,217 --> 00:09:07,257 Speaker 3: Country for the first day of school can kind of 191 00:09:07,257 --> 00:09:10,337 Speaker 3: barely speak English from you know, the Chinese mainland and 192 00:09:11,777 --> 00:09:15,017 Speaker 3: the Gulf States. And you know, rich, rich people from 193 00:09:15,017 --> 00:09:18,897 Speaker 3: around the world are coming into these schools and what 194 00:09:18,977 --> 00:09:21,137 Speaker 3: is it a thirty percent including grad school at Harvard, 195 00:09:21,177 --> 00:09:25,257 Speaker 3: and I think similarly at UCLA, Okay, and like in 196 00:09:25,297 --> 00:09:28,497 Speaker 3: terms of UCLA, like the state schools, these are schools 197 00:09:28,497 --> 00:09:30,977 Speaker 3: that we pay for, like Californians pay. 198 00:09:30,777 --> 00:09:31,457 Speaker 1: For these schools. 199 00:09:31,457 --> 00:09:36,257 Speaker 3: We fund these state schools UCLA, Berkeley, u SE, San Diego. 200 00:09:36,337 --> 00:09:37,537 Speaker 1: These are schools. 201 00:09:38,057 --> 00:09:42,537 Speaker 2: Built your tax dollars from your property taxes, your income 202 00:09:42,577 --> 00:09:45,537 Speaker 2: taxes in California, which are insane. Is the reason that 203 00:09:45,657 --> 00:09:47,297 Speaker 2: UCLA et cetera exists. 204 00:09:48,097 --> 00:09:51,697 Speaker 1: Right, we pay for them to educate California kids. 205 00:09:51,737 --> 00:09:53,817 Speaker 3: That's the goal of these schools, just like the University 206 00:09:53,857 --> 00:09:57,737 Speaker 3: of Texas is for largely kids in Texas. Right, these 207 00:09:57,737 --> 00:10:02,057 Speaker 3: state schools should be educating majority of the kids in California. 208 00:10:02,097 --> 00:10:04,537 Speaker 3: And then there's out of state kids too who go like, yes, 209 00:10:04,817 --> 00:10:06,937 Speaker 3: from another state, you should be Yes, you're allowed in 210 00:10:07,017 --> 00:10:09,457 Speaker 3: to U. See you pay higher way higher tuition. 211 00:10:10,217 --> 00:10:10,577 Speaker 1: Fine. 212 00:10:11,057 --> 00:10:13,257 Speaker 3: I want to put a few international kids who are 213 00:10:13,257 --> 00:10:16,057 Speaker 3: like some kind of spectacular nerds or whatever, you know, 214 00:10:16,217 --> 00:10:19,897 Speaker 3: super nerds, you know, into MIT whatever. Great, But in 215 00:10:19,937 --> 00:10:23,897 Speaker 3: these huge numbers, what it's done is made these schools 216 00:10:24,177 --> 00:10:28,137 Speaker 3: just honestly so difficult to get into. On top of 217 00:10:28,337 --> 00:10:32,737 Speaker 3: just the regular American you know, DEI affirmative action. 218 00:10:32,777 --> 00:10:34,657 Speaker 1: Filters like you have all of this. 219 00:10:35,177 --> 00:10:37,617 Speaker 3: So if you're just like, let's say, a very high achieving, 220 00:10:38,017 --> 00:10:41,097 Speaker 3: you know, straight white kid who isn't gay or trans 221 00:10:41,177 --> 00:10:44,337 Speaker 3: or queer or whatever and has a very high GPA 222 00:10:44,497 --> 00:10:47,497 Speaker 3: and does great on the SATs and stuff. He's he's 223 00:10:47,537 --> 00:10:51,817 Speaker 3: only got no shot unless he's a superstar varsity athlete 224 00:10:52,697 --> 00:10:55,617 Speaker 3: or has some other extraordinary you know, capability in him. 225 00:10:55,977 --> 00:10:59,937 Speaker 3: There's just no shot. Ucla was my safety school, Okay. 226 00:11:00,057 --> 00:11:02,217 Speaker 3: When I went to college, Ucla was like beneath me, 227 00:11:02,377 --> 00:11:04,097 Speaker 3: Like I was like I would never have been caught dead. 228 00:11:04,257 --> 00:11:06,657 Speaker 1: Like, let's just like now it. 229 00:11:06,617 --> 00:11:09,417 Speaker 3: Had because it had like a fifty sixty seventy percent acceptance, right, 230 00:11:09,537 --> 00:11:11,937 Speaker 3: you know, I wanted to go to like a fancy 231 00:11:12,017 --> 00:11:15,097 Speaker 3: private school on the East coast. Now Ucla is eight 232 00:11:15,137 --> 00:11:21,057 Speaker 3: percent acceptance, Okay, eight percent, that's insane to me. 233 00:11:21,977 --> 00:11:23,097 Speaker 1: Yeah, and then all the. 234 00:11:23,057 --> 00:11:26,137 Speaker 3: Spots, So how many spots are actually in each freshman 235 00:11:26,177 --> 00:11:31,257 Speaker 3: class for kids like kids like my son California, you know, 236 00:11:31,617 --> 00:11:35,697 Speaker 3: can't check any diversity boxes high achieving, Like how many 237 00:11:35,697 --> 00:11:37,657 Speaker 3: spots in that class go to kids like that? 238 00:11:38,097 --> 00:11:40,497 Speaker 1: Like one hundred spots? Like very small. 239 00:11:40,537 --> 00:11:43,017 Speaker 3: They're just being taken up by so many of these 240 00:11:43,617 --> 00:11:46,217 Speaker 3: foreign students who are paying, yes, full price, and so 241 00:11:46,257 --> 00:11:50,057 Speaker 3: seeing it happen at Harvard is thrilling. And they and Meanwhile, 242 00:11:50,297 --> 00:11:52,337 Speaker 3: half of them are what Chinese CCP spies. 243 00:11:52,817 --> 00:11:55,537 Speaker 2: Well, this is the other. So there's many I break 244 00:11:55,537 --> 00:11:58,937 Speaker 2: this down Peach into there's the America first component of this, 245 00:11:58,977 --> 00:12:02,257 Speaker 2: which I think that is very apt for this aspect 246 00:12:02,257 --> 00:12:04,257 Speaker 2: of it in California couldn't be any more clear. I 247 00:12:04,257 --> 00:12:08,097 Speaker 2: mean state schools. You're educating foreign kids in our state 248 00:12:08,137 --> 00:12:11,097 Speaker 2: schools in huge numbers, right, you know, you want to 249 00:12:11,137 --> 00:12:13,697 Speaker 2: talk about like diversity. I'm a little bit okay with 250 00:12:13,737 --> 00:12:16,377 Speaker 2: the idea of a small percentage of the student body 251 00:12:16,617 --> 00:12:19,297 Speaker 2: comes from other countries, because that is kind of interesting. 252 00:12:19,497 --> 00:12:21,617 Speaker 2: But I want it to be I want it to 253 00:12:21,617 --> 00:12:28,017 Speaker 2: be five percent, maybe ten percent, max max Mit thirty percent. 254 00:12:28,177 --> 00:12:33,777 Speaker 2: You Penn thirty percent, Harvard thirty foreign kids. I think 255 00:12:33,817 --> 00:12:37,097 Speaker 2: Colombia is more like fifty percent. I mean these. 256 00:12:36,897 --> 00:12:38,377 Speaker 1: Schools, Columbia is really weird. 257 00:12:38,457 --> 00:12:41,097 Speaker 2: Yeah, Columbia is super high. These schools are just full 258 00:12:41,097 --> 00:12:43,577 Speaker 2: of kids from all over the world. And by the way, 259 00:12:43,617 --> 00:12:45,417 Speaker 2: this whole notion of like, oh well, like we're taking 260 00:12:45,457 --> 00:12:50,337 Speaker 2: the best of the best, full crap. They can't based 261 00:12:50,377 --> 00:12:53,177 Speaker 2: on what and this this idea that we shouldn't advantage. 262 00:12:53,177 --> 00:12:54,897 Speaker 2: So there's the America first component. You wou'd agree on. 263 00:12:54,937 --> 00:12:58,097 Speaker 2: But what you touched on about this as well is 264 00:12:59,017 --> 00:13:01,737 Speaker 2: the CCP. I mean you look at MIT, you look 265 00:13:01,777 --> 00:13:03,857 Speaker 2: at where the government funding is in some of these 266 00:13:03,857 --> 00:13:06,217 Speaker 2: schools particuarly the schools you actually have to be able 267 00:13:06,257 --> 00:13:07,897 Speaker 2: to do something to go, which is kind of to 268 00:13:08,617 --> 00:13:10,657 Speaker 2: their credit, right, Like you don't go to cal Tech 269 00:13:11,217 --> 00:13:14,657 Speaker 2: because daddy donated the you know, the the lounge room 270 00:13:14,657 --> 00:13:15,977 Speaker 2: for the crew team, right, Like, if you go to 271 00:13:15,977 --> 00:13:18,497 Speaker 2: cal Tech, my chances are you can do some math. 272 00:13:18,657 --> 00:13:21,257 Speaker 2: I would assume uh same thing with MIT, Like if 273 00:13:21,297 --> 00:13:24,137 Speaker 2: you go to these places, there's a there's a skill 274 00:13:24,217 --> 00:13:27,377 Speaker 2: set that but they also do things like figure out 275 00:13:27,417 --> 00:13:31,137 Speaker 2: how to do missile technology and they also work on 276 00:13:31,577 --> 00:13:36,817 Speaker 2: drones at the university technology centers are infiltrated by the 277 00:13:36,857 --> 00:13:39,657 Speaker 2: CCP and other places all the time. We're supposed to 278 00:13:39,737 --> 00:13:42,297 Speaker 2: think that they're really good at keeping the stuff out 279 00:13:42,337 --> 00:13:44,017 Speaker 2: of the hands of foreign students. But why is the 280 00:13:44,017 --> 00:13:45,977 Speaker 2: CCP so obsessed with sending their kids here? 281 00:13:47,657 --> 00:13:49,297 Speaker 1: Yeah, I think it's obvious what's happening. 282 00:13:49,297 --> 00:13:53,777 Speaker 3: They're exploiting all these loopholes, and their children are these 283 00:13:53,817 --> 00:13:56,057 Speaker 3: you know, rich the rich children of you know, the 284 00:13:56,137 --> 00:13:59,337 Speaker 3: Chinese elite. But when they come here, they're just another 285 00:13:59,737 --> 00:14:03,297 Speaker 3: diversity quota bucks that they've be able to check off. Oh, 286 00:14:03,337 --> 00:14:07,697 Speaker 3: a student of Asian descent, a foreign student, and so 287 00:14:07,777 --> 00:14:10,177 Speaker 3: that makes the school feel good, would look good. Look 288 00:14:10,177 --> 00:14:11,817 Speaker 3: at our numbers they love to put in the brochure, 289 00:14:12,257 --> 00:14:16,217 Speaker 3: over fifty percent you know, minority whatever students. These children 290 00:14:16,257 --> 00:14:18,817 Speaker 3: are not minorities in China. 291 00:14:18,857 --> 00:14:19,217 Speaker 1: They're not. 292 00:14:19,457 --> 00:14:22,137 Speaker 3: No Chinese person is a minority, like in the world, 293 00:14:22,177 --> 00:14:24,577 Speaker 3: like China, Chinese are like what a third of the world, Like, 294 00:14:24,657 --> 00:14:26,137 Speaker 3: they're not minorities. 295 00:14:26,217 --> 00:14:30,137 Speaker 2: Okay, yeah, they're Chinese are the least minority people on 296 00:14:30,177 --> 00:14:31,857 Speaker 2: a global scale in existence. 297 00:14:32,137 --> 00:14:33,577 Speaker 1: So right, they don't. 298 00:14:33,377 --> 00:14:36,617 Speaker 3: Need our schools like, they do not need our schools. 299 00:14:36,657 --> 00:14:39,697 Speaker 3: They have plenty of schools. Why are they so interested 300 00:14:40,017 --> 00:14:42,937 Speaker 3: in sending it here? Is it for the prestige of Harvard? Okay, 301 00:14:43,217 --> 00:14:44,817 Speaker 3: they can go and brag if their kid is at 302 00:14:44,817 --> 00:14:47,737 Speaker 3: the American university? Is it so their children can then 303 00:14:47,777 --> 00:14:50,137 Speaker 3: have anchor babies and they can all then now the 304 00:14:50,177 --> 00:14:52,377 Speaker 3: whole family gets a passport. 305 00:14:52,537 --> 00:14:54,737 Speaker 1: This is what I tell access to the United States. 306 00:14:54,817 --> 00:14:57,377 Speaker 2: Okay, well you see that is it the California And 307 00:14:57,417 --> 00:14:59,297 Speaker 2: I've been using this argument for years because of people. 308 00:14:59,297 --> 00:15:02,457 Speaker 2: It's always like what about the dreamers, and like you know, uh, 309 00:15:02,777 --> 00:15:04,617 Speaker 2: you know a little so and so just came across 310 00:15:04,617 --> 00:15:06,537 Speaker 2: the border. He's going to start the next school. I'm like, okay, 311 00:15:06,697 --> 00:15:09,217 Speaker 2: what is on the birthright citizenship issue? A whole? On 312 00:15:09,257 --> 00:15:11,697 Speaker 2: a second and Californi they have hotels. I know you 313 00:15:11,737 --> 00:15:15,177 Speaker 2: know this, but for the audience, they have hotels. We're Chinese, 314 00:15:15,217 --> 00:15:18,337 Speaker 2: and it's overwhelmingly Chinese who do this. Chinese show up, 315 00:15:18,777 --> 00:15:22,137 Speaker 2: give birth, go back to China, and then come back 316 00:15:22,257 --> 00:15:25,977 Speaker 2: when they're eighteen with a US passport in hand, go 317 00:15:26,057 --> 00:15:30,497 Speaker 2: to UCLA or USC or whatever with their with their 318 00:15:30,537 --> 00:15:34,417 Speaker 2: American citizenship, even though they are fully Chinese, and then 319 00:15:34,417 --> 00:15:36,857 Speaker 2: they sponsor their whole family to come over here, and. 320 00:15:36,897 --> 00:15:40,937 Speaker 3: We're yeah, and they pay and they pay in state 321 00:15:41,017 --> 00:15:45,417 Speaker 3: tuition yeah yeah, fourteen thousand a year versus like forty 322 00:15:45,497 --> 00:15:48,417 Speaker 3: out of state or foreign. So it's a complete scam. 323 00:15:48,457 --> 00:15:48,657 Speaker 1: Yeat. 324 00:15:49,057 --> 00:15:52,777 Speaker 3: In Orange County, they have these houses and they're just 325 00:15:53,097 --> 00:15:56,457 Speaker 3: Chinese anchor baby mills, and they'll be a home filled 326 00:15:56,457 --> 00:16:00,137 Speaker 3: with like fifteen or twenty Chinese women and they come 327 00:16:00,177 --> 00:16:03,817 Speaker 3: here pregnant, they deliver, and then go back and they 328 00:16:03,817 --> 00:16:06,297 Speaker 3: even have like a there's even a surrogacy industry where 329 00:16:06,417 --> 00:16:11,057 Speaker 3: Chinese couple in China will ship their frozen and to 330 00:16:11,217 --> 00:16:15,177 Speaker 3: a surrogate in one of these homes to have their child, 331 00:16:15,257 --> 00:16:17,857 Speaker 3: and then the child has flown back to China for them, 332 00:16:18,017 --> 00:16:19,457 Speaker 3: like they never even have to come here. 333 00:16:19,817 --> 00:16:22,457 Speaker 2: I hadn't even heard of it. And that is that, yeah, and. 334 00:16:22,337 --> 00:16:25,857 Speaker 3: That's that is Orange County these and I mean in 335 00:16:26,097 --> 00:16:29,137 Speaker 3: the area around like Irvine, California, which is like heavily Asian. 336 00:16:29,217 --> 00:16:32,257 Speaker 1: And in fact, do you see Irvine. I mean I 337 00:16:32,017 --> 00:16:33,017 Speaker 1: have friends there. 338 00:16:33,057 --> 00:16:35,897 Speaker 3: It's they their reports are like this is just a 339 00:16:35,897 --> 00:16:42,537 Speaker 3: completely one basically Chinese nat Nationalists national school. It's like 340 00:16:42,577 --> 00:16:46,617 Speaker 3: the University of China in Irvine. I mean, you know 341 00:16:46,737 --> 00:16:49,137 Speaker 3: you'd think, okay, we're here. Really if if it's going 342 00:16:49,217 --> 00:16:51,217 Speaker 3: to be any other country, it should be Mexico, like 343 00:16:51,297 --> 00:16:54,017 Speaker 3: make it the University of Mexico. But the Chinese have 344 00:16:54,177 --> 00:16:58,577 Speaker 3: gained the system. They're very it's smart, Like we left 345 00:16:58,577 --> 00:17:01,097 Speaker 3: these giant holes and they're just coming through in in 346 00:17:01,497 --> 00:17:05,377 Speaker 3: trucks loaded with with their kids and we're letting and 347 00:17:05,377 --> 00:17:08,137 Speaker 3: we're paying for it, like we're paying to educate their children. 348 00:17:08,297 --> 00:17:09,777 Speaker 1: My son did not get into. 349 00:17:09,697 --> 00:17:13,417 Speaker 2: Ucl there we go. Yeah, I mean, look at what 350 00:17:13,457 --> 00:17:17,537 Speaker 2: happened to Aunt Becky from Full House, you know, ended 351 00:17:17,617 --> 00:17:20,937 Speaker 2: up doing prison time because I'm a huge am Becky 352 00:17:21,017 --> 00:17:23,217 Speaker 2: fan as a kid, just trying to get you know, 353 00:17:23,737 --> 00:17:28,257 Speaker 2: little Skylar Taylor or whatever her daughter's name is into USC. 354 00:17:28,857 --> 00:17:34,577 Speaker 2: So USC, I think it was USC. Yeah, yeah, yeah, USC, 355 00:17:35,017 --> 00:17:37,977 Speaker 2: and like pretended she can row crew, which that girl, 356 00:17:38,217 --> 00:17:39,657 Speaker 2: I mean maybe she could have been a Coxon, but 357 00:17:39,737 --> 00:17:40,217 Speaker 2: like she was not. 358 00:17:40,457 --> 00:17:43,257 Speaker 1: You know, it's so ridiculous. 359 00:17:43,337 --> 00:17:45,457 Speaker 2: I know I dated a crew girl. I know crew girls. 360 00:17:45,537 --> 00:17:47,057 Speaker 2: Let me tell you that girl is not a crew girl. 361 00:17:47,057 --> 00:17:49,497 Speaker 1: Like they yeah, they'll yeah, they'll bench you. 362 00:17:49,897 --> 00:17:51,617 Speaker 2: They will bench you. Yeah, you gotta be into that 363 00:17:51,697 --> 00:17:52,097 Speaker 2: kind of thing. 364 00:17:52,177 --> 00:17:56,617 Speaker 3: So the funny thing about sorry, but the funniest thing 365 00:17:56,657 --> 00:18:00,257 Speaker 3: about USC is that again you have this hyper competitive 366 00:18:00,337 --> 00:18:06,217 Speaker 3: environment around University of Southern California, which is like u 367 00:18:06,217 --> 00:18:08,777 Speaker 3: c LA now has an acceptance rate of literally like 368 00:18:08,857 --> 00:18:12,337 Speaker 3: eight or seven percent, which you know, when I was 369 00:18:12,337 --> 00:18:14,497 Speaker 3: going to school, those were like unheard of number that 370 00:18:14,617 --> 00:18:17,977 Speaker 3: was like cal Tech numbers like eight percent. But when 371 00:18:18,017 --> 00:18:21,337 Speaker 3: I was when I was applying, USC had like forty 372 00:18:21,377 --> 00:18:23,457 Speaker 3: percent acceptance like UCLA. 373 00:18:23,457 --> 00:18:27,297 Speaker 1: These were not super competitive schools. To get into these schools. 374 00:18:27,297 --> 00:18:30,257 Speaker 2: What I've had to tell to all the my dad's generation, 375 00:18:30,417 --> 00:18:32,777 Speaker 2: my dad was a Wall Street guy. Uh, my dad's 376 00:18:32,817 --> 00:18:35,657 Speaker 2: generation of finance bros. Because they're just like, oh, like 377 00:18:35,897 --> 00:18:37,337 Speaker 2: when I came out, you know, my dad went to 378 00:18:37,377 --> 00:18:39,217 Speaker 2: Harvard Busy school. He's like, when I came out of school, 379 00:18:39,257 --> 00:18:41,217 Speaker 2: I had offers from every bank on the street, and 380 00:18:41,297 --> 00:18:44,337 Speaker 2: like we were having two Martini lunuries and like everything's 381 00:18:44,337 --> 00:18:49,177 Speaker 2: great because you weren't competing against Mumbai and Shanghai. My man, Like, 382 00:18:49,217 --> 00:18:52,097 Speaker 2: there's a different world out there now, that's right. 383 00:18:52,257 --> 00:18:55,697 Speaker 3: We're we're made to compete. Our kids are made to 384 00:18:55,777 --> 00:18:59,497 Speaker 3: compete with kids from other countries. Like before they've even 385 00:18:59,497 --> 00:19:02,577 Speaker 3: got out of high school, they're competing with the children 386 00:19:02,577 --> 00:19:04,897 Speaker 3: of the ritually yes, in India and China and all 387 00:19:04,937 --> 00:19:06,857 Speaker 3: around the world. And then they're competing with those kids 388 00:19:06,857 --> 00:19:10,057 Speaker 3: again for jobs, and they're with those kids throughout their life. 389 00:19:10,937 --> 00:19:16,857 Speaker 2: And diversity system is is it's a national resource. And 390 00:19:17,057 --> 00:19:19,777 Speaker 2: you'll notice that with very few exceptions, like yeah, Oxford, 391 00:19:19,897 --> 00:19:21,297 Speaker 2: you know, some people, if they want to be like 392 00:19:21,657 --> 00:19:23,977 Speaker 2: really kind of euro fancy, you'll be like I'm going 393 00:19:24,017 --> 00:19:26,257 Speaker 2: through like seance po or whatever. Right, they'll go to. 394 00:19:26,537 --> 00:19:29,977 Speaker 2: Very few Americans go to overseas universities. I mean it's 395 00:19:29,977 --> 00:19:32,017 Speaker 2: a it's like a less than one percent number, Like 396 00:19:32,057 --> 00:19:34,777 Speaker 2: people just don't do this. But yet in our country, 397 00:19:34,857 --> 00:19:37,217 Speaker 2: it's the biggest countries in the world, and countries from 398 00:19:37,257 --> 00:19:40,417 Speaker 2: all over the world are just I'm so glad Trump 399 00:19:40,457 --> 00:19:41,897 Speaker 2: is on this, and I think it's a big deal. 400 00:19:41,937 --> 00:19:43,417 Speaker 2: I don't think it's a small thing. I think it 401 00:19:43,457 --> 00:19:46,097 Speaker 2: goes to US competitiveness and everything else. Can I just 402 00:19:46,257 --> 00:19:49,097 Speaker 2: one more thought for you. Did you see that the 403 00:19:49,177 --> 00:19:52,617 Speaker 2: Harvard Business School professor who is paid a million dollars 404 00:19:52,657 --> 00:19:57,857 Speaker 2: a year was an expert in honesty and was fired 405 00:19:57,897 --> 00:20:00,577 Speaker 2: by Harvard for dishonesty. That just happened. 406 00:20:02,097 --> 00:20:02,897 Speaker 1: That's so perfect. 407 00:20:04,177 --> 00:20:06,177 Speaker 2: It's like my favorite Harvard story ever. I'm like, this 408 00:20:06,657 --> 00:20:11,897 Speaker 2: overpaid phony whose expertise is dishonesty or honesty or whatever, 409 00:20:12,137 --> 00:20:15,337 Speaker 2: and she's fired for faking results in the studies that 410 00:20:15,457 --> 00:20:19,097 Speaker 2: prove her expertise. And this is this is all Claudine Gay, 411 00:20:19,137 --> 00:20:23,817 Speaker 2: who was the former Harvard president. This person she's the 412 00:20:23,817 --> 00:20:25,737 Speaker 2: president of Harvard, you know. 413 00:20:25,817 --> 00:20:28,337 Speaker 3: I mean, she's yeah, she was fired, but she wasn't 414 00:20:28,377 --> 00:20:30,457 Speaker 3: actually fired. She was like, just he just switched job 415 00:20:30,937 --> 00:20:32,577 Speaker 3: getting close to a million a year. 416 00:20:32,777 --> 00:20:35,417 Speaker 2: Yeah, yeah, yeah. They basically in the CIA, we call 417 00:20:35,457 --> 00:20:37,377 Speaker 2: it getting sent to the archives, Like they don't want 418 00:20:37,377 --> 00:20:38,777 Speaker 2: to fire you, but they send you somewhere where you 419 00:20:38,817 --> 00:20:40,577 Speaker 2: can't do any damage, you know, and you keep getting 420 00:20:40,577 --> 00:20:43,017 Speaker 2: your day deck. So she got sent to the archives. 421 00:20:43,457 --> 00:20:45,057 Speaker 1: Yeah, so Harvard's off the list. 422 00:20:45,057 --> 00:20:47,937 Speaker 2: You know. Yeah, Harvard's off the list. Sponsor her is 423 00:20:47,977 --> 00:20:51,617 Speaker 2: IFCJ International Fellowship of Christians and Jews. Look, now is 424 00:20:51,617 --> 00:20:53,657 Speaker 2: the time to stand with our friends in Israel. And 425 00:20:53,777 --> 00:20:56,457 Speaker 2: IFCJ is doing that day in and day out. There 426 00:20:56,497 --> 00:20:58,897 Speaker 2: was just a missile that was fired by the Huthis 427 00:20:59,017 --> 00:21:02,137 Speaker 2: at Israel was intercepted. These wars are ongoing and the 428 00:21:02,177 --> 00:21:05,577 Speaker 2: Israeli people need your support. IFCJ is there on the 429 00:21:05,577 --> 00:21:08,097 Speaker 2: ground in Israel. Every day when you give a gift 430 00:21:08,097 --> 00:21:10,977 Speaker 2: to forty five dollars, the IFGJ helps provide food, shelter 431 00:21:11,097 --> 00:21:13,977 Speaker 2: and more for those in need. And you're putting your 432 00:21:13,977 --> 00:21:16,817 Speaker 2: faith into action. Call eighty eight four eight eight I 433 00:21:16,977 --> 00:21:18,897 Speaker 2: f CJ. That's eight eight eight four eight eight I 434 00:21:18,977 --> 00:21:22,457 Speaker 2: f CJ. Or visit I f CJ dot org uh 435 00:21:22,577 --> 00:21:24,697 Speaker 2: peach great to have you. I hope you'll come back sooner. 436 00:21:24,737 --> 00:21:26,697 Speaker 2: We got to get you on Clay and Buck Radio sometime. 437 00:21:26,897 --> 00:21:30,777 Speaker 2: When you want lovesh the Chinese communists and how they're 438 00:21:30,777 --> 00:21:32,697 Speaker 2: infiltrating and destroying our country. I think that would be 439 00:21:32,697 --> 00:21:34,297 Speaker 2: a good one. So what do you say? 440 00:21:34,337 --> 00:21:37,297 Speaker 1: All Right? I love Chinese food. Okay, I'm not all bad. 441 00:21:37,337 --> 00:21:39,737 Speaker 2: Look, food is great. Got a lot of great thing. 442 00:21:39,777 --> 00:21:41,137 Speaker 2: A lot of some people are saying a lot of 443 00:21:41,177 --> 00:21:42,657 Speaker 2: a lot of you know, a lot of great people. 444 00:21:43,337 --> 00:21:45,257 Speaker 2: But yeah, totally I'm with you on that. So go 445 00:21:45,337 --> 00:21:47,897 Speaker 2: buy domestic. When did domestic extreamists come out? 446 00:21:48,297 --> 00:21:51,657 Speaker 1: It came out. Let's see uh June twenty twenty three. 447 00:21:51,937 --> 00:21:55,377 Speaker 2: Oh okay, recent, So go buy domestic extreamist. Everybody, and Peachee, thanks. 448 00:21:55,257 --> 00:21:57,177 Speaker 1: For being here, Thanks so much. 449 00:21:57,657 --> 00:22:00,417 Speaker 2: Looking out for the lives of unborn children is what 450 00:22:00,457 --> 00:22:03,417 Speaker 2: Preborn does day in and day out. Their highest priority 451 00:22:03,937 --> 00:22:07,097 Speaker 2: is saving the lives of as many pregnant babies as possible. 452 00:22:07,377 --> 00:22:09,857 Speaker 2: Last year, Preborn made it possible for more than ten 453 00:22:10,297 --> 00:22:14,057 Speaker 2: of thousands of unborn children to realize life. 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