1 00:00:01,840 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe, Katty arm Strong 3 00:00:10,800 --> 00:00:25,680 Speaker 1: and Getty and He Armstrong and Eddy not speaking that Sweet, 4 00:00:25,680 --> 00:00:27,400 Speaker 1: I'm making from Republican. 5 00:00:28,400 --> 00:00:28,880 Speaker 2: Who was. 6 00:00:30,320 --> 00:00:35,520 Speaker 1: Very she's a registered Republican. Oh now, I love her head? 7 00:00:35,920 --> 00:00:36,400 Speaker 1: Is that right? 8 00:00:36,440 --> 00:00:40,240 Speaker 2: As Sidney Sweet, you'd be surprised at how many people 9 00:00:40,280 --> 00:00:44,520 Speaker 2: are Republicans. That's what I wouldn't have known. But I'm 10 00:00:44,560 --> 00:00:48,280 Speaker 2: glad you told me that. If Sydney Sweeney is a 11 00:00:48,360 --> 00:00:51,960 Speaker 2: registered Republican, I think her head is fantastic. 12 00:00:52,440 --> 00:00:55,000 Speaker 1: Trump understands that better than anybody. 13 00:00:55,400 --> 00:00:58,320 Speaker 3: He understands sound bites, so he'll like, he gets information 14 00:00:58,400 --> 00:01:00,440 Speaker 3: like that and he thinks, Okay, here's the sound bite 15 00:01:01,000 --> 00:01:03,120 Speaker 3: Sydney's Sweeney being a ra I. 16 00:01:03,080 --> 00:01:04,040 Speaker 1: Mean he repeats. 17 00:01:04,120 --> 00:01:06,399 Speaker 3: That's one of the reasons he repeats things, so that 18 00:01:06,480 --> 00:01:08,880 Speaker 3: there is the sound bite for everybody to grab on 19 00:01:08,959 --> 00:01:09,840 Speaker 3: whatever topic. 20 00:01:10,720 --> 00:01:11,760 Speaker 1: It's very clever. 21 00:01:12,080 --> 00:01:17,120 Speaker 3: But yeah, well, it's surprising any young actresses is a Republican. 22 00:01:17,319 --> 00:01:20,960 Speaker 3: Surprising a young person really is, But she is? And 23 00:01:22,840 --> 00:01:26,880 Speaker 3: when when whatever the name of this Jean's American Eagle 24 00:01:26,959 --> 00:01:31,360 Speaker 3: or whatever they are, Jeans contacted her agent and said, 25 00:01:31,760 --> 00:01:34,120 Speaker 3: would she like to do a Gene ad? We'll pay her. 26 00:01:34,440 --> 00:01:35,959 Speaker 3: What do you suppose she made doing that? Just a 27 00:01:35,959 --> 00:01:41,120 Speaker 3: guess half million dollars too much, probably less at least, 28 00:01:41,240 --> 00:01:45,160 Speaker 3: oh at least that. Oh really, I don't have any 29 00:01:45,800 --> 00:01:48,880 Speaker 3: I don't have any idea, but okay, So the Jeans 30 00:01:48,880 --> 00:01:51,040 Speaker 3: people call her up and say, we'll give you two 31 00:01:51,080 --> 00:01:53,520 Speaker 3: million dollars to be a represented for the gene school. 32 00:01:53,520 --> 00:01:54,080 Speaker 1: Where do we sign? 33 00:01:54,240 --> 00:01:56,559 Speaker 3: And she goes and she does the shoot probably took 34 00:01:57,160 --> 00:01:58,000 Speaker 3: two hours, with. 35 00:01:58,040 --> 00:01:59,200 Speaker 1: Makeup, the whole thing. 36 00:02:00,080 --> 00:02:02,720 Speaker 3: She had no idea that this is going to turn 37 00:02:02,720 --> 00:02:06,960 Speaker 3: her life upside down maybe forever. She might not get 38 00:02:07,040 --> 00:02:10,000 Speaker 3: roles in TV shows and movies because of this, because 39 00:02:10,040 --> 00:02:13,919 Speaker 3: it's too controversial now, especially now that she's it's known 40 00:02:13,960 --> 00:02:20,160 Speaker 3: that she's a registered Republican. Uh in fact, not probably guaranteed. 41 00:02:20,600 --> 00:02:22,400 Speaker 3: There are shows that she would have liked to have 42 00:02:22,440 --> 00:02:26,000 Speaker 3: been on Netflix, series or whatever that she won't get 43 00:02:26,080 --> 00:02:27,919 Speaker 3: because it's not worth stepping in it. 44 00:02:29,520 --> 00:02:34,000 Speaker 1: For the liberal left. I wonder she has no idea. 45 00:02:34,160 --> 00:02:35,960 Speaker 3: That that that was going to happen when she decided 46 00:02:35,960 --> 00:02:38,440 Speaker 3: to do a Genes commercial, which generally you never hear 47 00:02:38,480 --> 00:02:40,440 Speaker 3: about well, you. 48 00:02:40,360 --> 00:02:42,359 Speaker 4: Know, this is an interesting question that I want to 49 00:02:42,400 --> 00:02:46,440 Speaker 4: consider for just a second. The reaction among like every 50 00:02:46,560 --> 00:02:50,520 Speaker 4: sane person in America has been this so called backlash 51 00:02:50,560 --> 00:02:53,480 Speaker 4: is stupid and nobody thinks like that, and the left 52 00:02:53,639 --> 00:02:57,720 Speaker 4: or just be clowning themselves better than ever. But you 53 00:02:57,960 --> 00:03:03,200 Speaker 4: think that the hardcore left in Hollywood will still think, Yeah, 54 00:03:03,240 --> 00:03:05,440 Speaker 4: but she's tainted now by your association. 55 00:03:05,480 --> 00:03:08,639 Speaker 3: Absolutely, they just said, just be a We've got two 56 00:03:08,680 --> 00:03:11,400 Speaker 3: attractive blonds could do this role roughly the same. 57 00:03:11,960 --> 00:03:15,119 Speaker 1: Why the headache? Why take on the headache? Yeah? 58 00:03:15,120 --> 00:03:16,680 Speaker 4: I don't think so. I think she's bigger than that. 59 00:03:17,160 --> 00:03:18,720 Speaker 4: I think it comes the other it comes out the 60 00:03:18,800 --> 00:03:19,120 Speaker 4: other way. 61 00:03:19,160 --> 00:03:21,480 Speaker 3: But I hope so, because it would suck for her 62 00:03:21,520 --> 00:03:23,480 Speaker 3: to have her career affected by this in any way. 63 00:03:23,520 --> 00:03:24,839 Speaker 1: It's just ridiculous. 64 00:03:25,400 --> 00:03:28,880 Speaker 3: I mean, the controversy is ridiculous to start with, but 65 00:03:28,919 --> 00:03:30,520 Speaker 3: then like attaching. 66 00:03:30,000 --> 00:03:31,640 Speaker 1: It to her is even dumber. 67 00:03:32,240 --> 00:03:36,600 Speaker 3: Oh yeah, anyway, So a number of people made comparisons 68 00:03:36,680 --> 00:03:41,440 Speaker 3: last week to an appearance jd Vance made on a 69 00:03:41,480 --> 00:03:45,280 Speaker 3: podcast and the appearance that Kamala Harris made on The 70 00:03:45,280 --> 00:03:49,520 Speaker 3: Colbert Show. I was watching Mark Alprin's video cast over 71 00:03:49,560 --> 00:03:54,280 Speaker 3: the weekend in which they thought he is nonpartisan and 72 00:03:54,320 --> 00:03:58,720 Speaker 3: then he has a Republican and a Democrat as sidekicks. 73 00:03:59,080 --> 00:04:02,480 Speaker 3: All three of them thought Kamala was horrible on Colbert 74 00:04:02,760 --> 00:04:04,200 Speaker 3: in a way that I didn't quite pick up on 75 00:04:04,240 --> 00:04:08,000 Speaker 3: the time. Specifically, she's had six months to figure out 76 00:04:08,000 --> 00:04:11,360 Speaker 3: how to answer a couple of things, and she still 77 00:04:11,440 --> 00:04:14,040 Speaker 3: seemed to be like you could see your wheels spinning 78 00:04:14,080 --> 00:04:14,920 Speaker 3: figuring out how. 79 00:04:14,800 --> 00:04:17,120 Speaker 1: To answer what what? 80 00:04:17,760 --> 00:04:22,279 Speaker 3: You don't have a practice to answer for politics today, 81 00:04:22,400 --> 00:04:23,600 Speaker 3: or you're rolling in or whatever. 82 00:04:23,640 --> 00:04:24,120 Speaker 1: It seemed like. 83 00:04:24,520 --> 00:04:28,520 Speaker 4: Anyway, Jad, that was like, you know, back on the view, 84 00:04:28,560 --> 00:04:34,119 Speaker 4: what would you do differently than Biden? Oh h gosh, 85 00:04:34,160 --> 00:04:36,839 Speaker 4: well you really pinned me down on the die. 86 00:04:36,880 --> 00:04:38,640 Speaker 1: I hadn't anticipated that question. 87 00:04:39,920 --> 00:04:42,279 Speaker 3: Yeah, she was like that on Colbert after six months 88 00:04:42,320 --> 00:04:46,240 Speaker 3: of probably thinking about running for president anyway, j d 89 00:04:46,400 --> 00:04:51,120 Speaker 3: vance completely different level of talent, and by the way, 90 00:04:51,120 --> 00:04:53,800 Speaker 3: on Mark Alpert's podcast with the Republican Democrat and Halpern 91 00:04:53,960 --> 00:04:57,680 Speaker 3: all think he is far and away the most likely 92 00:04:57,720 --> 00:05:00,120 Speaker 3: nominee for the Republicans and likely the next president that 93 00:05:00,240 --> 00:05:02,520 Speaker 3: because he is so good in getting better. Here's him 94 00:05:02,560 --> 00:05:05,400 Speaker 3: talking about to Sidney Sweeney situation on a podcast over 95 00:05:05,440 --> 00:05:05,839 Speaker 3: the weekend. 96 00:05:06,000 --> 00:05:09,160 Speaker 5: My political advice to the Democrats is continue to tell 97 00:05:09,200 --> 00:05:12,120 Speaker 5: everybody who thinks Sidney Sweeney is attractive is a Nazi. 98 00:05:12,640 --> 00:05:14,920 Speaker 1: That appears to be their actual strategy. 99 00:05:14,920 --> 00:05:17,520 Speaker 5: And I mean it actually reveals something pretty interesting about 100 00:05:17,520 --> 00:05:20,679 Speaker 5: the Dems, though, which is that you have like a normal, 101 00:05:20,839 --> 00:05:24,840 Speaker 5: all American, beautiful girl during doing like a normal genes ad. Right, 102 00:05:24,839 --> 00:05:28,760 Speaker 5: they're trying to sell, you know, sell jeans to kids 103 00:05:28,800 --> 00:05:33,360 Speaker 5: in America, and they have managed to so unhinge themselves 104 00:05:33,839 --> 00:05:36,120 Speaker 5: over this thing. And it's like, you, guys, did you 105 00:05:36,200 --> 00:05:39,120 Speaker 5: learn nothing from the November twenty twenty four election. Like 106 00:05:39,160 --> 00:05:41,240 Speaker 5: I actually thought that one of the lessons they might 107 00:05:41,279 --> 00:05:44,320 Speaker 5: take is we're going to be less crazy. The lesson 108 00:05:44,400 --> 00:05:46,920 Speaker 5: they have apparently taken is we're going to attack people 109 00:05:47,760 --> 00:05:50,279 Speaker 5: as Nazis for thinking Sidney Sweeney is beautiful. 110 00:05:50,520 --> 00:05:52,640 Speaker 1: Great strategy, guys, That's how you're going to learn the 111 00:05:52,680 --> 00:05:53,159 Speaker 1: mid terms. 112 00:05:53,200 --> 00:05:55,520 Speaker 3: How much more comfortable is he in his own skin? 113 00:05:57,240 --> 00:05:59,120 Speaker 3: The person who is most comfortable in their own skin 114 00:05:59,240 --> 00:06:02,880 Speaker 3: is a person who genly wins elections. I don't think 115 00:06:02,880 --> 00:06:04,560 Speaker 3: his opponent's going to be Kamala Harris. I don't think 116 00:06:04,560 --> 00:06:06,279 Speaker 3: you'll even get to Iowa. But he is he is 117 00:06:06,320 --> 00:06:08,760 Speaker 3: pretty good. I was thinking about. 118 00:06:08,520 --> 00:06:09,240 Speaker 1: This the other day. 119 00:06:09,839 --> 00:06:13,720 Speaker 4: I was listening to some fellows discuss Kamala Harris's prospects 120 00:06:13,760 --> 00:06:16,680 Speaker 4: going forward, and they are miserable. They don't exist, they're 121 00:06:16,680 --> 00:06:19,159 Speaker 4: they're terrible. Nobody is impressed by her. She's a loser 122 00:06:19,160 --> 00:06:21,359 Speaker 4: and a dope, But you're a dope. 123 00:06:21,480 --> 00:06:22,520 Speaker 1: That's talk. 124 00:06:23,120 --> 00:06:27,560 Speaker 4: She is continually cited as a favorite. She topped the 125 00:06:27,600 --> 00:06:32,000 Speaker 4: recent completely meaningless name recognition Democrat poll. And it occurred 126 00:06:32,000 --> 00:06:33,880 Speaker 4: to me, as I was strolling along listening to this, 127 00:06:34,200 --> 00:06:37,640 Speaker 4: that there is there, and nobody ever talked about this. 128 00:06:38,520 --> 00:06:42,080 Speaker 4: There is a designation in the political world of a 129 00:06:42,160 --> 00:06:47,400 Speaker 4: person who must be taken seriously. And it doesn't matter 130 00:06:48,560 --> 00:06:51,640 Speaker 4: if in Kamala Harris's case, for instance, if she was 131 00:06:51,760 --> 00:06:56,360 Speaker 4: an appointed this Willie Brown's girlfriend anointed the attorney general 132 00:06:56,400 --> 00:07:01,080 Speaker 4: in a one party state, a DEI higher for vice 133 00:07:01,120 --> 00:07:04,600 Speaker 4: president after she washed out completely of the primaries. I mean, 134 00:07:04,640 --> 00:07:07,160 Speaker 4: it was a humiliating defeat. But in spite of all 135 00:07:07,200 --> 00:07:10,160 Speaker 4: that losing, because Joe Biden plucked her to be the veep, 136 00:07:10,480 --> 00:07:13,160 Speaker 4: she is a person who should be taken seriously. In 137 00:07:13,200 --> 00:07:15,960 Speaker 4: the defiance of all logic, she's nothing, she will do nothing. 138 00:07:16,040 --> 00:07:17,640 Speaker 4: She has gone forget her back. 139 00:07:17,440 --> 00:07:19,560 Speaker 3: To the Blue gene ad and what Jade Vance was 140 00:07:19,560 --> 00:07:21,920 Speaker 3: talking about, their lesson seems to have been that they 141 00:07:21,960 --> 00:07:25,320 Speaker 3: learned is let's go further in wolkness. 142 00:07:25,840 --> 00:07:28,800 Speaker 1: I would put it. Meanwhile, back at the third Reich. 143 00:07:28,880 --> 00:07:32,200 Speaker 3: Bill Maher on his show Friday Night said, and an 144 00:07:32,280 --> 00:07:35,520 Speaker 3: other uncomfortable racial news, sad news. We found out this 145 00:07:35,560 --> 00:07:37,920 Speaker 3: week that Sidney Sweeney is a Nazi, and of course 146 00:07:37,960 --> 00:07:40,680 Speaker 3: everybody laughed, No, she's not. But if you've seen the 147 00:07:40,720 --> 00:07:43,160 Speaker 3: ad we're showing it now, she's dressed like Jay Leno. 148 00:07:44,760 --> 00:07:47,440 Speaker 3: That's just a good point, which I thought was funny. 149 00:07:47,760 --> 00:07:49,800 Speaker 3: And then he recites the line about the blue eyes 150 00:07:49,800 --> 00:07:51,600 Speaker 3: and I have good jeens and all that sort of stuff. 151 00:07:51,720 --> 00:07:52,080 Speaker 1: He said. 152 00:07:52,120 --> 00:07:54,400 Speaker 3: It also doesn't help that her bras Eyze is thirty 153 00:07:54,400 --> 00:07:55,240 Speaker 3: six KKK. 154 00:07:57,600 --> 00:07:58,360 Speaker 1: That's a funny lie. 155 00:07:58,400 --> 00:08:00,320 Speaker 3: And that the name that she gave her boo is 156 00:08:00,360 --> 00:08:03,520 Speaker 3: the Proud Boys. 157 00:08:04,080 --> 00:08:06,560 Speaker 1: Wow, that's some good riffing, he said. 158 00:08:06,600 --> 00:08:08,760 Speaker 3: It's also like, it's pretty funny that all the online 159 00:08:08,760 --> 00:08:11,200 Speaker 3: social justice girls are like, it's racist, there's no such 160 00:08:11,200 --> 00:08:13,200 Speaker 3: thing as good jeans. And then you go on Tinder 161 00:08:13,240 --> 00:08:18,720 Speaker 3: and swipe left on every bald guy, which is hurtful 162 00:08:18,720 --> 00:08:18,880 Speaker 3: to me. 163 00:08:18,920 --> 00:08:21,000 Speaker 1: Of course that's true. 164 00:08:21,080 --> 00:08:24,400 Speaker 3: So any comment on jeans as white supremacy, bad jeans, 165 00:08:24,440 --> 00:08:26,640 Speaker 3: bad jeans, bad jeans, as he swiped through all the guys, 166 00:08:27,000 --> 00:08:29,679 Speaker 3: that is pretty funny. By the way, American Eagle stock 167 00:08:29,760 --> 00:08:31,880 Speaker 3: rose more than ten percent last week. 168 00:08:33,200 --> 00:08:33,760 Speaker 1: There you go. 169 00:08:34,040 --> 00:08:36,640 Speaker 3: Sidney Sweeney has not made a comment at all, although 170 00:08:36,679 --> 00:08:39,560 Speaker 3: somebody did get out that voting information, which I don't 171 00:08:39,559 --> 00:08:42,080 Speaker 3: think does her life any favors. Joe doesn't think it'll 172 00:08:42,120 --> 00:08:44,800 Speaker 3: hurt her. I hope it doesn't. How she votes shouldn't 173 00:08:44,800 --> 00:08:47,920 Speaker 3: make any difference anybody. And Donald Trump has another truth 174 00:08:47,960 --> 00:08:51,720 Speaker 3: out today about this topic. Sidney Sweeney, a registered Republican, 175 00:08:51,800 --> 00:08:55,280 Speaker 3: has the hottest in all caps add out there. It's 176 00:08:55,280 --> 00:08:57,680 Speaker 3: for American Eagle and the jeans are flying off the 177 00:08:57,720 --> 00:09:01,760 Speaker 3: shelves in all caps. Go get them, Sidney. On the 178 00:09:01,760 --> 00:09:03,960 Speaker 3: other side of the Ledger, jaguared in a stupid and 179 00:09:04,000 --> 00:09:07,400 Speaker 3: seriously woke advertisement that is a disaster. The CEO just 180 00:09:07,440 --> 00:09:09,800 Speaker 3: resigned and the companies in turmoil. And he goes through 181 00:09:09,800 --> 00:09:11,840 Speaker 3: a number of other examples with bud Light and that 182 00:09:11,880 --> 00:09:15,960 Speaker 3: sort of stuff. So right, Trump, recognizing where you know, 183 00:09:16,080 --> 00:09:19,120 Speaker 3: there's a little fire that he can jump into and 184 00:09:19,200 --> 00:09:19,800 Speaker 3: make some hay with. 185 00:09:20,400 --> 00:09:23,360 Speaker 4: All right, here's my favorite comment comes from this journalist 186 00:09:23,440 --> 00:09:26,520 Speaker 4: by the name of Charlie Wartzell, who was writing in 187 00:09:26,559 --> 00:09:30,640 Speaker 4: the Atlantic. And just as a little background, Warzel used 188 00:09:30,640 --> 00:09:34,160 Speaker 4: to work at the New York Times, where he sobbed 189 00:09:34,280 --> 00:09:38,880 Speaker 4: like a little girl during the emergency staff meeting, remember 190 00:09:39,440 --> 00:09:43,520 Speaker 4: the mallet excuse me, maoist struggle session over whether the 191 00:09:43,559 --> 00:09:46,920 Speaker 4: paper should publish that op ed by Tom Cotton. 192 00:09:48,679 --> 00:09:50,160 Speaker 1: You remember how that caused that. 193 00:09:50,240 --> 00:09:53,240 Speaker 4: Just a uproar within the paper that a sitting US 194 00:09:53,320 --> 00:09:56,319 Speaker 4: senator would write an editorial in which he turned out 195 00:09:56,360 --> 00:09:58,880 Speaker 4: to be completely correct, But it just tore their woke 196 00:09:58,920 --> 00:10:02,960 Speaker 4: newsroom apart. But anyway, during the meeting over that, Wartzell 197 00:10:03,080 --> 00:10:06,440 Speaker 4: is crying like a baby. 198 00:10:05,960 --> 00:10:06,320 Speaker 1: Baby. 199 00:10:08,520 --> 00:10:11,360 Speaker 4: Wartzell was upset because quote, none of my friends want 200 00:10:11,400 --> 00:10:13,640 Speaker 4: to talk to me anymore because I worked for this horrible, 201 00:10:13,679 --> 00:10:19,120 Speaker 4: evil newspaper. So anyway, here's this, this you need new friends, 202 00:10:20,040 --> 00:10:23,680 Speaker 4: This half a man child now writing for the Atlantic. 203 00:10:25,240 --> 00:10:27,679 Speaker 4: Let's see, he was attempting to write, I'm going to 204 00:10:27,760 --> 00:10:31,960 Speaker 4: quote Andrew Styles now of the Free Beacon. He was 205 00:10:32,000 --> 00:10:35,520 Speaker 4: attempting to write a cerebral lamentation about how quote the 206 00:10:35,600 --> 00:10:39,760 Speaker 4: discourse is broken or whatever, while insisting the criticism of 207 00:10:39,760 --> 00:10:42,680 Speaker 4: the ad campaign makes sense because of, you know, all 208 00:10:42,760 --> 00:10:46,599 Speaker 4: the racism out there. Wartzel's rhetoric really shines when analyzing 209 00:10:46,600 --> 00:10:49,240 Speaker 4: the political implications of hiring Swedey to sell jeans. 210 00:10:49,280 --> 00:10:49,679 Speaker 1: Quote. 211 00:10:50,040 --> 00:10:53,000 Speaker 4: Her image has been co opted by the right, accurately 212 00:10:53,120 --> 00:10:55,520 Speaker 4: or not, in part because of where she's from, the 213 00:10:55,559 --> 00:10:58,880 Speaker 4: Mountain West, and some of her hobbies fixing cars. 214 00:10:59,400 --> 00:11:02,320 Speaker 1: Even her knew any of this, none of it, and 215 00:11:02,360 --> 00:11:02,760 Speaker 1: don't care. 216 00:11:03,800 --> 00:11:06,800 Speaker 4: Even her figure has become a cultural stand in for 217 00:11:06,880 --> 00:11:11,520 Speaker 4: the idea published and pushed by conservative commentators that Americans 218 00:11:11,520 --> 00:11:13,520 Speaker 4: should be free to love boobs. 219 00:11:14,160 --> 00:11:15,600 Speaker 1: What I know. 220 00:11:16,280 --> 00:11:20,480 Speaker 4: I know, even her figure has become a cultural stand 221 00:11:20,480 --> 00:11:24,320 Speaker 4: in for the idea pushed by conservative commentators that Americans 222 00:11:24,320 --> 00:11:27,040 Speaker 4: should be free to love boobs. 223 00:11:28,559 --> 00:11:30,520 Speaker 3: So that's kind of interesting that to kind of go 224 00:11:30,600 --> 00:11:32,800 Speaker 3: with like being curvy as a right wing thing. Because 225 00:11:32,800 --> 00:11:34,360 Speaker 3: the New York Times had an op ed piece I 226 00:11:34,400 --> 00:11:36,360 Speaker 3: was going to get to later why the right is 227 00:11:36,400 --> 00:11:40,680 Speaker 3: obsessed with thinness when diet culture meets conservative morality. That 228 00:11:40,800 --> 00:11:42,400 Speaker 3: is one of the dumbest things I've ever read. 229 00:11:42,440 --> 00:11:43,080 Speaker 1: In my life. 230 00:11:43,559 --> 00:11:46,320 Speaker 4: It's as if they're using some sort of AI powered 231 00:11:46,840 --> 00:11:49,800 Speaker 4: random fake aggrievement headline generator. 232 00:11:50,400 --> 00:11:51,600 Speaker 1: Are you people serious? 233 00:11:52,120 --> 00:11:55,120 Speaker 4: I know what's it like to live your life like that, 234 00:11:55,400 --> 00:11:58,880 Speaker 4: constantly looking for some excuse to bellow about somebody else 235 00:11:58,960 --> 00:12:01,000 Speaker 4: being you know, unenlightened. 236 00:12:01,480 --> 00:12:02,679 Speaker 1: We will get to that later. 237 00:12:02,840 --> 00:12:05,280 Speaker 3: How the right is obsessed with thinness and it's somehow 238 00:12:05,280 --> 00:12:09,120 Speaker 3: white supremacy or awful or something when Obestie's one of 239 00:12:09,160 --> 00:12:11,480 Speaker 3: the biggest problems we've got in America. But what did 240 00:12:11,480 --> 00:12:12,840 Speaker 3: you say we're doing? We got something. 241 00:12:12,920 --> 00:12:18,040 Speaker 4: This campus madness update coming, oh so much madness, oh goodness. 242 00:12:17,600 --> 00:12:20,840 Speaker 1: And a bunch of other stuff. Stay here, armstrong. 243 00:12:22,559 --> 00:12:25,680 Speaker 6: The World Swimming Championships, the US saved it's best for last. 244 00:12:25,880 --> 00:12:28,480 Speaker 6: The women's four by one hundred med League team broke 245 00:12:28,559 --> 00:12:31,480 Speaker 6: its own world record in today's final race in Singapore. 246 00:12:31,800 --> 00:12:35,400 Speaker 6: Reagan Smith, Kate Douglas, Gretchen Walsh and Tory Husk bested 247 00:12:35,400 --> 00:12:38,280 Speaker 6: the old mark by twenty nine hundredths of a second. 248 00:12:38,880 --> 00:12:42,400 Speaker 3: And getting ready for the Summer Olympics in Los Angeles 249 00:12:42,520 --> 00:12:47,640 Speaker 3: next summer, I think, so, sach right, Yeah, maybe I'll 250 00:12:47,640 --> 00:12:50,120 Speaker 3: look at that number, dear, I'll look that that's why Americans. 251 00:12:49,760 --> 00:12:52,160 Speaker 1: Don't care about global warming. If the oceans cover of 252 00:12:52,160 --> 00:12:55,760 Speaker 1: the Earth, we're the best swimmers. It's fine. 253 00:12:56,800 --> 00:12:59,439 Speaker 4: Speaking of the world of sports, maybe an hour four 254 00:13:00,040 --> 00:13:04,800 Speaker 4: we'll get to a lawyer believes Caitlin Clark has a 255 00:13:04,840 --> 00:13:08,800 Speaker 4: serious civil rights case against the WNBA if she wants 256 00:13:08,840 --> 00:13:09,320 Speaker 4: to make it. 257 00:13:10,040 --> 00:13:10,920 Speaker 1: I doubt she does. 258 00:13:10,960 --> 00:13:13,800 Speaker 4: But that's interesting because she's getting the hell beat out 259 00:13:13,840 --> 00:13:16,000 Speaker 4: of her night after night, and they hit us with 260 00:13:16,040 --> 00:13:18,840 Speaker 4: some of the statistics, and it's undeniable and it's almost 261 00:13:18,880 --> 00:13:22,199 Speaker 4: never called. And it's because of race, and if not race, 262 00:13:22,360 --> 00:13:23,840 Speaker 4: sexuality or both. 263 00:13:24,880 --> 00:13:28,559 Speaker 3: So anyway, Summer Olympics in Los Angeles are in twenty 264 00:13:28,600 --> 00:13:32,680 Speaker 3: twenty eight. Oh, we got a compangners the Summer Olympics. 265 00:13:32,840 --> 00:13:34,240 Speaker 3: I peaked too. 266 00:13:34,080 --> 00:13:36,160 Speaker 1: Early in my training. I thought it was next year. 267 00:13:38,520 --> 00:13:39,040 Speaker 1: Dang it. 268 00:13:40,160 --> 00:13:42,880 Speaker 4: So speaking of swimming, Oh, we don't have much time. 269 00:13:43,720 --> 00:13:46,520 Speaker 4: We're talking about this sort of person who actually tries 270 00:13:46,600 --> 00:13:49,880 Speaker 4: to get offended by the Sydney Sweeney jeans ad and 271 00:13:50,440 --> 00:13:52,600 Speaker 4: talks about eugenics and the rest of it and what 272 00:13:52,640 --> 00:13:56,520 Speaker 4: they're like. Katie had this headline like a week ago. 273 00:13:57,200 --> 00:14:00,120 Speaker 4: I was intrigued enough that I dug into it. Yes, 274 00:14:00,240 --> 00:14:04,480 Speaker 4: ful World, Mermaiding gains popularity in DC area. 275 00:14:05,480 --> 00:14:07,119 Speaker 1: And it's all about these. 276 00:14:07,000 --> 00:14:10,400 Speaker 4: Gals mostly and a couple of guys who get together 277 00:14:10,480 --> 00:14:11,520 Speaker 4: once a week or more. 278 00:14:13,200 --> 00:14:16,520 Speaker 1: And they like in the don mermaid tales. 279 00:14:16,600 --> 00:14:21,600 Speaker 4: Some of them like really expensive dotted with sequins, lined 280 00:14:21,600 --> 00:14:25,400 Speaker 4: with seashells and waddle into the water and splash around 281 00:14:25,440 --> 00:14:27,200 Speaker 4: and pretend to be mermaids. 282 00:14:27,400 --> 00:14:32,640 Speaker 3: I like the headline in stressful Times mermaiding a new 283 00:14:32,760 --> 00:14:35,160 Speaker 3: verb helps calm people down. 284 00:14:35,240 --> 00:14:39,960 Speaker 4: Okay, Yeah, living here is fast. Everything is fast. There's traffic. 285 00:14:40,000 --> 00:14:42,440 Speaker 1: There's so many people that feel suffocating sometimes. 286 00:14:42,560 --> 00:14:45,360 Speaker 3: Children. You all need to have children. You'd be busy 287 00:14:45,840 --> 00:14:48,680 Speaker 3: raising your kids. You wouldn't have time for this crap. 288 00:14:48,880 --> 00:14:52,160 Speaker 3: Have a job in children takes care of so many problems. 289 00:14:52,280 --> 00:14:55,920 Speaker 3: You don't worry about all these extraneous bs things if 290 00:14:55,960 --> 00:14:56,200 Speaker 3: you have. 291 00:14:56,120 --> 00:14:56,960 Speaker 1: A job in children. 292 00:14:57,480 --> 00:15:02,000 Speaker 4: Wow, says the fascist Mermaiding is luring attract is attracting 293 00:15:02,080 --> 00:15:04,920 Speaker 4: murfolk who are either looking for a unique form of exercise, 294 00:15:05,200 --> 00:15:07,600 Speaker 4: a deep sense of community, or something to take them 295 00:15:07,640 --> 00:15:09,280 Speaker 4: out of their everyday live. 296 00:15:09,200 --> 00:15:12,240 Speaker 1: Did you say murpholk. That's correct. Yes. 297 00:15:12,840 --> 00:15:15,440 Speaker 4: Although there is no official census, the Mermaids of the 298 00:15:15,520 --> 00:15:18,280 Speaker 4: Washington area estimate, they have the second highest population in 299 00:15:18,320 --> 00:15:19,880 Speaker 4: the country beyond Florida. 300 00:15:19,920 --> 00:15:21,240 Speaker 1: In fact, jack two years ago. 301 00:15:21,280 --> 00:15:26,200 Speaker 4: Their community was featured heavily in the Netflix docuseries Myrrh People, 302 00:15:26,560 --> 00:15:31,160 Speaker 4: which focused on several aspiring mermaids volatile journeys to earn 303 00:15:31,240 --> 00:15:36,320 Speaker 4: admittance into elite pods, such as the circin Circus Siren 304 00:15:36,480 --> 00:15:39,440 Speaker 4: Mermaid Pod in Laurel, Maryland, which is one of the 305 00:15:39,440 --> 00:15:41,480 Speaker 4: most exclusive mermaid pods. 306 00:15:42,400 --> 00:15:44,440 Speaker 1: And there's a lot here. We could do a whole 307 00:15:44,480 --> 00:15:45,320 Speaker 1: podcast on this. 308 00:15:47,000 --> 00:15:50,320 Speaker 4: It's just creating a safe space for people to have fun. 309 00:15:50,600 --> 00:15:52,920 Speaker 4: A lot of people who need a place to feel accepted. 310 00:15:52,960 --> 00:15:56,480 Speaker 4: Blah blah blah. Is there a single person doing this 311 00:15:57,480 --> 00:15:59,480 Speaker 4: who is ever in their life voted Republican? 312 00:16:00,120 --> 00:16:00,480 Speaker 1: Of course? 313 00:16:00,560 --> 00:16:06,840 Speaker 4: Not Pretending to be a mermaid in your free time 314 00:16:07,480 --> 00:16:09,080 Speaker 4: is a certain sort of person. 315 00:16:09,520 --> 00:16:10,320 Speaker 1: You meet a woman. 316 00:16:10,520 --> 00:16:14,120 Speaker 3: I'm from Ohio, I like wine tasting, I have two sisters. 317 00:16:14,120 --> 00:16:17,280 Speaker 3: I dress as a mermaid on weekends. You what, now, 318 00:16:17,320 --> 00:16:18,480 Speaker 3: what was that last part? 319 00:16:20,000 --> 00:16:22,240 Speaker 4: For a few hours a week they slip on their 320 00:16:22,520 --> 00:16:26,480 Speaker 4: mirsna take some shelfies with friends. 321 00:16:26,480 --> 00:16:28,800 Speaker 3: So it seems like one of the main parts of 322 00:16:28,880 --> 00:16:31,720 Speaker 3: dressing as a Mermaid is puns that seems to be. 323 00:16:32,000 --> 00:16:36,840 Speaker 4: Might be more important than the water. It's certainly an 324 00:16:36,840 --> 00:16:41,240 Speaker 4: important part of it. But these people are very normal Jack. 325 00:16:41,360 --> 00:16:45,320 Speaker 4: For instance, this dance costume designer who changed your name 326 00:16:45,360 --> 00:16:49,400 Speaker 4: to Targarian after the family from the Game of Thrones 327 00:16:49,440 --> 00:16:53,160 Speaker 4: and has purple hair and more piercings than a pin cushion, 328 00:16:53,280 --> 00:16:55,600 Speaker 4: get a job having a kid. She goes by the 329 00:16:55,680 --> 00:17:01,720 Speaker 4: name Mermaid Montara. Oh my god, Yeah, I know, I know. 330 00:17:01,840 --> 00:17:02,760 Speaker 4: It takes all kinds. 331 00:17:02,800 --> 00:17:08,080 Speaker 1: I guess Mark Zuckerberg's willing to pay somebody a billion 332 00:17:08,200 --> 00:17:11,040 Speaker 1: dollars if he can put him in first place with AI. 333 00:17:11,280 --> 00:17:15,320 Speaker 3: That's a pretty good job. Among other things on the way. 334 00:17:14,600 --> 00:17:18,920 Speaker 1: Armstrong and Getty's mom the American Eagle website. 335 00:17:18,920 --> 00:17:20,880 Speaker 3: I'm gonna get me some of them Nazi jeans before 336 00:17:20,920 --> 00:17:25,480 Speaker 3: they sell out. Coming up, chat, GPT lied to me 337 00:17:25,560 --> 00:17:28,960 Speaker 3: for the first time ever, like really misled me. It 338 00:17:29,119 --> 00:17:33,960 Speaker 3: damaged It damaged our relationship. I'm not pretty gunshy. Wow, 339 00:17:34,359 --> 00:17:37,360 Speaker 3: So that coming up. And also Zuckerbird's willing to throw 340 00:17:37,400 --> 00:17:40,360 Speaker 3: a billion dollar salary at somebody if they can put 341 00:17:40,440 --> 00:17:43,160 Speaker 3: him in first place. Throwing around money for a half 342 00:17:43,280 --> 00:17:48,639 Speaker 3: that yeah, okay, big AI update. First though, it's a 343 00:17:48,720 --> 00:17:50,360 Speaker 3: campus madness update. 344 00:17:50,480 --> 00:18:04,800 Speaker 1: Oh what madness? Oh that's the madness part. He's not 345 00:18:04,880 --> 00:18:09,120 Speaker 1: digging it. I can't remember. Is there more of that? Okay, here. 346 00:18:10,560 --> 00:18:12,720 Speaker 4: Handful of headlines for you, Jack, And we could really 347 00:18:12,760 --> 00:18:15,200 Speaker 4: spend a significant amount of time on any one of these, 348 00:18:15,320 --> 00:18:20,840 Speaker 4: but it definitely goes to the fact that crusaders against 349 00:18:20,840 --> 00:18:23,840 Speaker 4: the rot on our college campuses and actually our primary 350 00:18:23,840 --> 00:18:27,040 Speaker 4: and secondary educational systems too. We are not cherry picking. 351 00:18:27,119 --> 00:18:29,080 Speaker 4: It's more like we're standing in the midst of a 352 00:18:29,160 --> 00:18:32,680 Speaker 4: cherry orchard and you're accusing us of cherry picking. That's 353 00:18:32,800 --> 00:18:35,440 Speaker 4: I mean, we're surrounded by cherries. Anyway, I'm going to 354 00:18:35,480 --> 00:18:38,000 Speaker 4: start with this, which is a little different than the 355 00:18:38,040 --> 00:18:41,440 Speaker 4: other headlines. But it was The New York Times doing 356 00:18:41,480 --> 00:18:46,280 Speaker 4: a story on how the federal policy changes changed on 357 00:18:46,359 --> 00:18:49,959 Speaker 4: pell grants and the Big Beautiful Bill and higher education 358 00:18:50,080 --> 00:18:52,159 Speaker 4: grants and federal loan caps and the rest of it. 359 00:18:52,480 --> 00:18:55,520 Speaker 4: And what was interesting to me about this, and I'm 360 00:18:55,520 --> 00:18:58,399 Speaker 4: sure you'll appreciate this too, Jack, is that they mentioned 361 00:18:58,400 --> 00:19:01,919 Speaker 4: that the reason this discussion is so important is that 362 00:19:02,000 --> 00:19:05,200 Speaker 4: the average cost of public higher education in the the 363 00:19:05,280 --> 00:19:11,439 Speaker 4: United States has adjusted for inflation more than doubled since 364 00:19:11,640 --> 00:19:19,840 Speaker 4: nineteen eighty, and they don't spend a single word no less, 365 00:19:20,080 --> 00:19:23,199 Speaker 4: I'm sorry, certainly not a sentence or a paragraph in 366 00:19:23,359 --> 00:19:25,760 Speaker 4: asking why doubles that. 367 00:19:25,840 --> 00:19:28,960 Speaker 3: Right, doubled since nineteen eighty sounds low to me by 368 00:19:28,960 --> 00:19:32,120 Speaker 3: a lot. The only thing they. 369 00:19:31,960 --> 00:19:35,719 Speaker 4: Talk about is why government is not doing more to 370 00:19:35,760 --> 00:19:38,840 Speaker 4: hand people money to pay for it because it's more 371 00:19:38,880 --> 00:19:39,600 Speaker 4: than doubled. 372 00:19:40,359 --> 00:19:41,600 Speaker 1: It's way more than doubled. 373 00:19:42,080 --> 00:19:49,480 Speaker 4: Absolutely nuts, Yeah, yeah, this is public colleges who right anyway. 374 00:19:49,240 --> 00:19:52,080 Speaker 1: But like I know a couple of specific examples of 375 00:19:52,119 --> 00:19:55,400 Speaker 1: it's doubled since people I know went in the nineties. 376 00:19:55,880 --> 00:19:56,840 Speaker 1: Well right, right. 377 00:19:56,880 --> 00:19:59,040 Speaker 4: But the point obviously is that the New York Times 378 00:19:59,119 --> 00:20:02,600 Speaker 4: doesn't even have the question, just a question of government 379 00:20:02,680 --> 00:20:05,600 Speaker 4: grants to talk about a different mindset. 380 00:20:05,880 --> 00:20:08,920 Speaker 1: A bunch of headlines here, this is something else. 381 00:20:09,440 --> 00:20:14,000 Speaker 4: As it reloads three to one and we're back. The 382 00:20:14,119 --> 00:20:18,439 Speaker 4: largest teachers union in America is pushing Holocaust education that 383 00:20:18,520 --> 00:20:23,359 Speaker 4: erases Jews. The NEA now describes the Holocaust as having 384 00:20:23,480 --> 00:20:28,320 Speaker 4: twelve million victims from different faiths, without mentioning the attempted 385 00:20:28,359 --> 00:20:30,160 Speaker 4: extermination of the Jewish. 386 00:20:29,760 --> 00:20:32,119 Speaker 3: Pele wow as mostly Jews, as we all know as 387 00:20:32,160 --> 00:20:34,920 Speaker 3: a chunk of Catholics and Gypsies and other people too, 388 00:20:34,960 --> 00:20:36,880 Speaker 3: but it's mostly Jews. 389 00:20:36,960 --> 00:20:41,520 Speaker 4: But so they're just going with different faiths. Okay, Yes, 390 00:20:41,720 --> 00:20:44,359 Speaker 4: in fact, that was the plan all along. You may 391 00:20:44,400 --> 00:20:46,680 Speaker 4: have heard of Hitler. He wrote a book about it 392 00:20:46,800 --> 00:20:49,520 Speaker 4: in which he expelled he spelled out exactly what he's 393 00:20:49,560 --> 00:20:52,959 Speaker 4: going to do, but not to the NEA. Speaking of 394 00:20:53,080 --> 00:20:58,480 Speaker 4: the NEA, they just scrubbed their twenty twenty five handbook 395 00:20:58,600 --> 00:21:03,760 Speaker 4: from their website. But the internet is forever, and various 396 00:21:03,760 --> 00:21:06,639 Speaker 4: school choice advocates have preserved all of it for all 397 00:21:06,680 --> 00:21:10,919 Speaker 4: of us, and the ENEA this is this year's handbook 398 00:21:11,400 --> 00:21:16,040 Speaker 4: says educators must acknowledge the existence of white supremacy culture 399 00:21:16,280 --> 00:21:20,360 Speaker 4: as a primary root cause of institutional racism, structural racism, 400 00:21:20,680 --> 00:21:25,359 Speaker 4: and white privilege. And educators must work to prohibit institutionally 401 00:21:25,440 --> 00:21:32,199 Speaker 4: racist systems and to bring them down. And it's a 402 00:21:32,359 --> 00:21:37,560 Speaker 4: chapter in verse of the whole DEI critical race theory stuff. 403 00:21:38,400 --> 00:21:41,040 Speaker 4: But the biggest teachers union in America says that needs 404 00:21:41,080 --> 00:21:44,720 Speaker 4: to be the top priority of teachers is to dismantle 405 00:21:44,800 --> 00:21:48,760 Speaker 4: white supremacy in our schools and our country. 406 00:21:48,880 --> 00:21:54,760 Speaker 3: Our public school system is completely broken. Yeah, Its long 407 00:21:54,920 --> 00:21:58,240 Speaker 3: is how long will it take? Can it be fixed? 408 00:21:58,280 --> 00:22:01,040 Speaker 3: Will just so many people have to pull out and 409 00:22:01,160 --> 00:22:04,840 Speaker 3: home school or private school I don't know. 410 00:22:05,400 --> 00:22:08,520 Speaker 1: Yeah, and school choice that Republicans are pushing right now. 411 00:22:08,640 --> 00:22:11,240 Speaker 1: Will so many people will. 412 00:22:11,119 --> 00:22:16,080 Speaker 4: Leave the government schools in favor of these schools that 413 00:22:16,240 --> 00:22:20,439 Speaker 4: educate children, that the system will collapse and ensure it 414 00:22:20,480 --> 00:22:21,760 Speaker 4: has to Your number. 415 00:22:21,480 --> 00:22:25,359 Speaker 3: One priority should have been the entire time and should 416 00:22:25,359 --> 00:22:31,439 Speaker 3: always be for all eternity teaching, math, science, and reading. 417 00:22:32,359 --> 00:22:37,639 Speaker 4: The end, the NEEA will push strategies fostering the eradication 418 00:22:37,680 --> 00:22:41,600 Speaker 4: of institutional racism and white privilege perpetuated by white supremacy. 419 00:22:41,640 --> 00:22:45,080 Speaker 4: Culture and school districts must provide training and cultural competence, 420 00:22:45,080 --> 00:22:49,280 Speaker 4: implicit bias, restorative practices and techniques, and racial justice. More 421 00:22:49,320 --> 00:22:51,960 Speaker 4: on this another time, but let's click on a few 422 00:22:51,960 --> 00:22:55,120 Speaker 4: more headlines. We didn't mention this and it was an oversight. 423 00:22:55,160 --> 00:22:59,359 Speaker 4: We just got really busy that UCLA, who were absolutely 424 00:23:00,040 --> 00:23:04,920 Speaker 4: himmering for their treatment of Jewish students, including the establishment 425 00:23:04,960 --> 00:23:10,399 Speaker 4: of a jew exclusion zone. UCLA agreed last week to 426 00:23:10,400 --> 00:23:13,040 Speaker 4: pay more than six million dollars to settle a lawsuit 427 00:23:13,080 --> 00:23:16,400 Speaker 4: brought by Jewish students who said, the university a lot 428 00:23:16,400 --> 00:23:21,560 Speaker 4: of antisemitic demonstrations. I'm sorry discrimination during the Spring twenty 429 00:23:21,600 --> 00:23:26,280 Speaker 4: twenty four encampments, the anti Israel encampments, good for them, 430 00:23:26,320 --> 00:23:30,080 Speaker 4: just absolutely hammered UCLA, which is deserving of everything it 431 00:23:30,160 --> 00:23:33,800 Speaker 4: gets George Mason University. On the other side of the country, 432 00:23:34,600 --> 00:23:38,280 Speaker 4: the president, facing an array of federal discrimination probes, is 433 00:23:38,359 --> 00:23:41,720 Speaker 4: tapped the ex Maryland Attorney General as his personal attorney 434 00:23:41,960 --> 00:23:45,520 Speaker 4: as an act of self preservation. This guy, Gregory Washington, 435 00:23:46,000 --> 00:23:53,800 Speaker 4: is adi woke crusader and has sanctioned and demanded racial 436 00:23:53,840 --> 00:23:58,359 Speaker 4: discrimination in practically everything George Mason University does. And if 437 00:23:58,359 --> 00:24:01,320 Speaker 4: you're not familiar with George Mason, it is an enormous 438 00:24:01,440 --> 00:24:05,680 Speaker 4: university in the Washington, DC area. It is the biggest 439 00:24:05,760 --> 00:24:11,080 Speaker 4: university in the University of Virginia system, so coast to coast, 440 00:24:11,440 --> 00:24:15,760 Speaker 4: all over the place, medical schools quietly maintain affirmative action. 441 00:24:15,840 --> 00:24:18,920 Speaker 4: According to Jason Riley in The Wall Street Journal, some 442 00:24:19,080 --> 00:24:23,440 Speaker 4: still use race to make admissions decisions, even though the Supreme. 443 00:24:23,040 --> 00:24:25,040 Speaker 1: Court said it's illegal. 444 00:24:25,200 --> 00:24:28,200 Speaker 3: I just heard a story yesterday of somebody who's apparently 445 00:24:28,240 --> 00:24:32,080 Speaker 3: some sort of medical school star who has a whole 446 00:24:32,119 --> 00:24:35,560 Speaker 3: bunch of options to go to different colleges for medical school, 447 00:24:36,160 --> 00:24:40,719 Speaker 3: and interview has interviewed it's a couple where the first 448 00:24:40,960 --> 00:24:46,080 Speaker 3: question was what's your pronouns? And this person does not 449 00:24:46,160 --> 00:24:48,879 Speaker 3: swing that way politically, and thought, I'm not going to 450 00:24:48,920 --> 00:24:49,359 Speaker 3: this school. 451 00:24:49,800 --> 00:24:52,639 Speaker 1: Question number one to decide. 452 00:24:52,240 --> 00:24:54,520 Speaker 3: If you want this star student to be in your 453 00:24:54,520 --> 00:24:56,320 Speaker 3: medical school, what are your pronouns? 454 00:24:56,720 --> 00:24:57,880 Speaker 1: How crazy is that? 455 00:24:58,200 --> 00:25:02,280 Speaker 3: Prioritizing that a higher the prioritizing that at all, having 456 00:25:02,359 --> 00:25:05,760 Speaker 3: it be part of it at all is crazy. 457 00:25:06,359 --> 00:25:10,119 Speaker 1: But making that like the top thing. 458 00:25:10,320 --> 00:25:12,960 Speaker 3: Are you are kind of people? Rather than whether or 459 00:25:13,000 --> 00:25:15,040 Speaker 3: not you'd be a good doctor, right? 460 00:25:15,119 --> 00:25:18,120 Speaker 4: I mean if it was like some sort of plumbers college, 461 00:25:18,920 --> 00:25:22,119 Speaker 4: I would be thinking, well, that's stupid, because like there'll 462 00:25:22,160 --> 00:25:25,520 Speaker 4: be leaks and bad plumbing if you make that a priority. 463 00:25:25,640 --> 00:25:29,520 Speaker 1: This is like heart surgeons. Yeah, oh my god, it's obscene. 464 00:25:29,560 --> 00:25:32,480 Speaker 4: Do No Harm, A watchdog group that opposes racial preferences 465 00:25:32,720 --> 00:25:35,919 Speaker 4: analyze the last year's admissions data from twenty three public 466 00:25:35,960 --> 00:25:38,240 Speaker 4: medical schools. It found that at twenty two of the 467 00:25:38,280 --> 00:25:42,320 Speaker 4: twenty three Asian and white applicants who were accepted had 468 00:25:42,400 --> 00:25:45,560 Speaker 4: higher medical college admission test scores than their black peers, 469 00:25:45,920 --> 00:25:48,080 Speaker 4: and the data showed that at more than half of 470 00:25:48,119 --> 00:25:51,760 Speaker 4: the schools, the average MCAT that's the big test score 471 00:25:51,800 --> 00:25:55,040 Speaker 4: of Asian and white applicants who were rejected was higher 472 00:25:55,080 --> 00:25:57,280 Speaker 4: than that of the mcat's score of black applicants who 473 00:25:57,359 --> 00:26:05,600 Speaker 4: were accepted. And that there's a name for it, racism. Yeah, exactly, exactly. 474 00:26:06,240 --> 00:26:08,720 Speaker 4: The Trump administration has launched a probe of the Duke 475 00:26:08,800 --> 00:26:12,520 Speaker 4: Law Journal and warns their medical school is up next, 476 00:26:12,840 --> 00:26:17,680 Speaker 4: as they are promoting racial preferences and racial standards for 477 00:26:17,760 --> 00:26:20,560 Speaker 4: who gets to publish, who gets to be on the staff, 478 00:26:20,760 --> 00:26:24,200 Speaker 4: who gets to earn the accolades. No white people need apply, 479 00:26:24,480 --> 00:26:27,360 Speaker 4: honest to God, this is Duke University, but the law 480 00:26:27,359 --> 00:26:31,199 Speaker 4: and medical schools. And then finally, that's a story in 481 00:26:31,240 --> 00:26:33,000 Speaker 4: the Wall Street Journal by a film by the name 482 00:26:33,040 --> 00:26:38,879 Speaker 4: of Colin Wright who was excluded at Cornell University from 483 00:26:39,000 --> 00:26:41,320 Speaker 4: a job for which he was eminently qualified, maybe the 484 00:26:41,359 --> 00:26:45,520 Speaker 4: most qualified guy in the country. They eliminated purely because 485 00:26:45,560 --> 00:26:48,760 Speaker 4: he was a white man. And behind the scenes memos 486 00:26:48,760 --> 00:26:52,680 Speaker 4: which were issued or found during the discovery process for 487 00:26:52,760 --> 00:26:55,160 Speaker 4: this suit said yeah, no, we're not going to hire 488 00:26:55,200 --> 00:27:03,360 Speaker 4: a white guy. Absolutely overt racism. Ricka's Universities coast to coast, 489 00:27:03,800 --> 00:27:07,160 Speaker 4: Minnesota to Miami. It's unbelievable. It needs to take it apart, 490 00:27:07,440 --> 00:27:09,160 Speaker 4: be taken apart. It's campus madness. 491 00:27:10,400 --> 00:27:19,040 Speaker 1: Oh my god, what happened? Then? I love that little 492 00:27:19,080 --> 00:27:22,320 Speaker 1: exclamation for he stepped on a nail or something. Oh 493 00:27:22,640 --> 00:27:25,600 Speaker 1: she saw the madness around here, you fool? Okay, wake 494 00:27:25,680 --> 00:27:26,960 Speaker 1: up man. 495 00:27:27,000 --> 00:27:32,920 Speaker 3: If you got the AI skills, Elon Zuckerberg what's his name? 496 00:27:32,960 --> 00:27:33,479 Speaker 1: At Google? 497 00:27:33,560 --> 00:27:36,360 Speaker 3: Those people want you and they're willing to throw crazy 498 00:27:36,400 --> 00:27:38,560 Speaker 3: money at you. Got that in the fact that Chad 499 00:27:38,640 --> 00:27:41,280 Speaker 3: GBT lied to me for the first time. We're uh, 500 00:27:43,080 --> 00:27:45,920 Speaker 3: we're estranged right now on the way, stay. 501 00:27:45,760 --> 00:27:51,760 Speaker 1: Here, armstrong, he Getty, Morning Jennifer, morning her? He calls, 502 00:27:51,880 --> 00:27:57,320 Speaker 1: no messages, no bail. How about lunch, no lunch, busy? Okay, 503 00:27:57,359 --> 00:27:59,359 Speaker 1: how about later in my place? You are married her. 504 00:28:01,200 --> 00:28:04,000 Speaker 1: I'm Mandy Travis, the new Programmed record. Sorry, got a meeting. 505 00:28:04,000 --> 00:28:08,080 Speaker 1: We'll talk later. Did you last that long? One of 506 00:28:08,080 --> 00:28:10,280 Speaker 1: the best? Would you like to see? The big guy, 507 00:28:10,800 --> 00:28:13,640 Speaker 1: the big guy, the skipper, the chief, the head, han choke, 508 00:28:13,840 --> 00:28:15,080 Speaker 1: the jerk who runs his place. 509 00:28:16,920 --> 00:28:20,639 Speaker 3: Lonnie Anderson died yesterday and she was a big deal 510 00:28:20,760 --> 00:28:25,399 Speaker 3: for ten fifteen years. As a hatty tabloid star. So 511 00:28:25,600 --> 00:28:30,240 Speaker 3: there you are a toxic max masculinity on display there 512 00:28:30,240 --> 00:28:31,760 Speaker 3: in a way that would not be accepted in the 513 00:28:31,760 --> 00:28:32,359 Speaker 3: modern world. 514 00:28:32,400 --> 00:28:37,240 Speaker 1: Oh, indeed, disgusting. Is anyone worth a billion dollars? 515 00:28:37,359 --> 00:28:42,160 Speaker 3: Well, Mark Zuckerberg thinks this woman, Mira Murretti, is worth 516 00:28:43,000 --> 00:28:45,440 Speaker 3: a billion dollars if she take the job, but she's 517 00:28:45,480 --> 00:28:47,440 Speaker 3: not going to it looks like because she's got other 518 00:28:47,480 --> 00:28:49,160 Speaker 3: offers or wants to start her own thing. 519 00:28:49,480 --> 00:28:53,120 Speaker 1: She's one of your top AI experts. And right now. 520 00:28:56,000 --> 00:28:59,520 Speaker 3: The leaders in AI that'd be open Ai, that's Chad 521 00:28:59,560 --> 00:29:04,320 Speaker 3: gp tis Anthropic, which I'm not as familiar with. Google 522 00:29:06,360 --> 00:29:10,240 Speaker 3: and Zuckerberg are all in competition for the best AI 523 00:29:10,320 --> 00:29:13,840 Speaker 3: researchers in the world. And it's like being a star 524 00:29:14,000 --> 00:29:17,280 Speaker 3: quarterback or a power forward or you know, a long 525 00:29:17,360 --> 00:29:19,720 Speaker 3: hitting third basement. You can make that kind of money, 526 00:29:20,120 --> 00:29:22,200 Speaker 3: well more than that kind of money. No, Yeah, nobody's 527 00:29:22,200 --> 00:29:27,360 Speaker 3: gotten a billion dollars before. Miretti is the former top 528 00:29:27,360 --> 00:29:31,120 Speaker 3: person in open AI, and she has a startup that's 529 00:29:31,160 --> 00:29:32,480 Speaker 3: worth a whole bunch of money and all kinds of 530 00:29:32,520 --> 00:29:35,640 Speaker 3: stuff like that. But anyway, according to The Wall Street Journal, 531 00:29:35,760 --> 00:29:39,440 Speaker 3: Zuckerberg tried to hire other people from that company. They 532 00:29:39,480 --> 00:29:43,920 Speaker 3: all declined to jump ship. He went after the top person, 533 00:29:44,040 --> 00:29:47,560 Speaker 3: offered more than a billion dollar pay package. 534 00:29:49,640 --> 00:29:50,320 Speaker 1: That's a lot. 535 00:29:50,920 --> 00:29:54,680 Speaker 3: Yeah, I'd say others have found Zuckerberg's offers too big 536 00:29:54,720 --> 00:29:56,960 Speaker 3: to pass up. A twenty four year old researcher named 537 00:29:57,000 --> 00:30:00,080 Speaker 3: Matt Deepkey said yes to a salary of two one 538 00:30:00,160 --> 00:30:05,280 Speaker 3: hundred and fifty million over four years. WHOA, and I 539 00:30:05,280 --> 00:30:07,960 Speaker 3: assume that's guaranteed money. It's not like you know some 540 00:30:08,000 --> 00:30:12,360 Speaker 3: of your sports contracts. And again, this is not the 541 00:30:12,440 --> 00:30:14,920 Speaker 3: number for the acquisition of a company. It's the acquisition 542 00:30:15,000 --> 00:30:19,040 Speaker 3: for a single employee. There are rumors out there, according 543 00:30:19,040 --> 00:30:22,040 Speaker 3: to the Wall Street Journal, of much higher salary offers that. 544 00:30:22,040 --> 00:30:25,560 Speaker 1: Have been thrown out there. Wow for these people. 545 00:30:26,400 --> 00:30:30,920 Speaker 3: So you're saying a lot correctly that some of the 546 00:30:31,000 --> 00:30:33,520 Speaker 3: hype here around AI is coming from companies that stand 547 00:30:33,560 --> 00:30:38,400 Speaker 3: to benefit from it. True, But Zuckerberg and Elon and 548 00:30:38,440 --> 00:30:42,920 Speaker 3: Google aren't throwing these kind of salaries at people just 549 00:30:43,000 --> 00:30:45,720 Speaker 3: out of trying to pump up the look of AI. 550 00:30:46,240 --> 00:30:48,880 Speaker 4: Oh no, that's straight out of the don't worry about 551 00:30:48,880 --> 00:30:51,960 Speaker 4: what they say, watch what they do department. What they're 552 00:30:52,080 --> 00:30:54,960 Speaker 4: doing is offering a gal a billion dollars to come 553 00:30:55,000 --> 00:30:57,080 Speaker 4: work for them instead of her own company. 554 00:30:57,120 --> 00:30:58,640 Speaker 1: That's a pretty strong statement. 555 00:30:58,880 --> 00:31:01,840 Speaker 4: I was reading that the percentage of the growth in 556 00:31:01,840 --> 00:31:06,160 Speaker 4: our economy that's like just AI is a little shock. Yes, 557 00:31:06,200 --> 00:31:10,440 Speaker 4: it is, because there are zillions of dollars being poured 558 00:31:10,440 --> 00:31:13,640 Speaker 4: into that right now. But this looks like in five years. 559 00:31:13,720 --> 00:31:15,640 Speaker 4: I wish I knew. I hope to be around to 560 00:31:15,640 --> 00:31:16,040 Speaker 4: find out. 561 00:31:16,240 --> 00:31:18,400 Speaker 3: Like I use chat GPT all the time, as I 562 00:31:18,440 --> 00:31:21,080 Speaker 3: have said now, I don't google, I chat GPT, but 563 00:31:21,120 --> 00:31:24,000 Speaker 3: I didn't get lied to over the weekend, which was troubling, 564 00:31:25,720 --> 00:31:30,440 Speaker 3: really troubling. As I've mentioned, I'm attempting for the twentieth 565 00:31:30,480 --> 00:31:33,520 Speaker 3: time into my life to read Ulysses by James Joyce, 566 00:31:33,560 --> 00:31:36,040 Speaker 3: and I'm sticking with it this time, and I'm well 567 00:31:36,080 --> 00:31:38,320 Speaker 3: through chapter two, which is further than I've ever gotten 568 00:31:38,320 --> 00:31:43,640 Speaker 3: in my life. But I had a question about something, 569 00:31:43,680 --> 00:31:45,640 Speaker 3: and I've been going to chat GPT and it's been very, 570 00:31:45,720 --> 00:31:48,800 Speaker 3: very helpful. But it gave me an answer on one 571 00:31:48,880 --> 00:31:54,240 Speaker 3: of the characters, and I thought, wow, I am really lost. 572 00:31:54,560 --> 00:31:57,000 Speaker 3: I thought we were reading the inner dialogue of a 573 00:31:57,080 --> 00:32:00,320 Speaker 3: completely different person. How did I miss that? I went 574 00:32:00,400 --> 00:32:02,640 Speaker 3: back through the to the first chapter and try to 575 00:32:02,680 --> 00:32:04,840 Speaker 3: pick up where I got lost, Like, this is a 576 00:32:04,880 --> 00:32:07,280 Speaker 3: major point. I can't I can't read the book and 577 00:32:07,360 --> 00:32:11,000 Speaker 3: be this far off of reading an entire chapter of 578 00:32:11,000 --> 00:32:11,720 Speaker 3: inner dialogue. 579 00:32:11,720 --> 00:32:14,560 Speaker 1: And I got the wrong character. I was right, it 580 00:32:14,640 --> 00:32:18,760 Speaker 1: was wrong. It just got it wrong, and very confidently 581 00:32:18,800 --> 00:32:22,480 Speaker 1: got it wrong. Leopold Bloom. The main character was not 582 00:32:22,560 --> 00:32:26,400 Speaker 1: who was being discussed at this point. It was someone else. 583 00:32:26,640 --> 00:32:30,080 Speaker 3: And I thought, Okay, how often has this happened already 584 00:32:30,400 --> 00:32:32,959 Speaker 3: when I didn't catch it, or how often would it 585 00:32:33,000 --> 00:32:36,680 Speaker 3: happen the future where I don't catch it? That's troubling. 586 00:32:36,920 --> 00:32:38,959 Speaker 3: I mean, like, man, how did it make a mistake 587 00:32:39,080 --> 00:32:39,720 Speaker 3: that big? 588 00:32:41,000 --> 00:32:41,440 Speaker 1: Yeah? 589 00:32:42,160 --> 00:32:45,160 Speaker 4: Yeah, reminds me the whole when they write about your 590 00:32:45,240 --> 00:32:48,560 Speaker 4: industry and the newspaper, you realize, wow, that's totally inaccurate. 591 00:32:48,600 --> 00:32:51,360 Speaker 4: But I'm sure everything else they write about is accurate. 592 00:32:51,760 --> 00:32:54,480 Speaker 3: Yeah, I should have argued with it, like smart people do. 593 00:32:54,560 --> 00:32:56,160 Speaker 3: Maybe I can go back and still do that, pick 594 00:32:56,200 --> 00:32:58,880 Speaker 3: up in the conversation and say, hey, hey, hey, chat 595 00:32:58,880 --> 00:33:00,960 Speaker 3: GPT or Fred or whatever I'm supposed to call it. 596 00:33:02,520 --> 00:33:05,880 Speaker 1: You realize you got that completely wrong? Right? That character 597 00:33:05,880 --> 00:33:10,960 Speaker 1: doesn't show up until chapter two, and see how it reacts. 598 00:33:11,280 --> 00:33:13,520 Speaker 3: If it argues with me, it says my bad, Or 599 00:33:14,080 --> 00:33:18,880 Speaker 3: do it now? What did this information cost you? Is 600 00:33:18,880 --> 00:33:22,800 Speaker 3: what I would say to chat GPT. He paid nothing 601 00:33:22,840 --> 00:33:23,840 Speaker 3: for this? What do you expect? 602 00:33:24,560 --> 00:33:27,160 Speaker 1: Yeah, yeah, no kidding, what are you on for nothing? 603 00:33:27,160 --> 00:33:30,760 Speaker 3: But you know, we've talked about the law cases where 604 00:33:31,720 --> 00:33:35,120 Speaker 3: a lawyer's cruising along getting great info from chat GPT, 605 00:33:35,800 --> 00:33:38,080 Speaker 3: You use a piece and then in court somebody challenges 606 00:33:38,080 --> 00:33:39,600 Speaker 3: it and turns out to be completely funny. 607 00:33:40,160 --> 00:33:43,320 Speaker 1: It's a problem case that never existed. Ye yeah. 608 00:33:43,440 --> 00:33:47,080 Speaker 4: Indeed, another thing I was writing about AI the big 609 00:33:47,160 --> 00:33:53,080 Speaker 4: consulting companies are they're getting ready for a massive earthquake 610 00:33:53,200 --> 00:33:56,120 Speaker 4: under them. This article is about McKinsey, which is a 611 00:33:56,240 --> 00:34:02,880 Speaker 4: legendary business consulting group. But as they point out, the 612 00:34:02,920 --> 00:34:06,560 Speaker 4: elite armies, the alert firms, armies of consultant have helped 613 00:34:06,680 --> 00:34:14,440 Speaker 4: generations of CEOs blah blah blah. Artificial intelligence can increasingly 614 00:34:14,520 --> 00:34:16,799 Speaker 4: do the work done by the firm's highly paid consultants, 615 00:34:16,840 --> 00:34:26,560 Speaker 4: often within minutes. So it can like analyze all of 616 00:34:26,600 --> 00:34:30,120 Speaker 4: the business data the structure of your business, churn out 617 00:34:30,120 --> 00:34:32,799 Speaker 4: a power point and a deck of suggestions, and all 618 00:34:33,120 --> 00:34:34,000 Speaker 4: in seconds. 619 00:34:34,160 --> 00:34:35,560 Speaker 1: So what do they do anymore? 620 00:34:38,400 --> 00:34:42,120 Speaker 4: And interestingly the answer was, well, they're now rapidly deploying 621 00:34:42,160 --> 00:34:46,400 Speaker 4: thousands of AI agents. Those bots now assist consultants in 622 00:34:46,440 --> 00:34:47,720 Speaker 4: building PowerPoint texts. 623 00:34:47,840 --> 00:34:50,720 Speaker 1: And I'm like, attacks an AI agent. 624 00:34:51,280 --> 00:34:53,200 Speaker 4: And so I had to click on that link and 625 00:34:53,280 --> 00:34:57,719 Speaker 4: go read about what an AI agent is exactly, And 626 00:34:57,800 --> 00:34:59,400 Speaker 4: as far as they can tell, it's kind of like 627 00:34:59,440 --> 00:35:01,280 Speaker 4: an app, but I need to keep reading. 628 00:35:01,800 --> 00:35:04,200 Speaker 3: You would think there'd be more people that have the skills, 629 00:35:05,880 --> 00:35:08,800 Speaker 3: that it wouldn't be a one human worth a billion dollars, 630 00:35:08,840 --> 00:35:11,640 Speaker 3: but you know, apparently that's the case at least currently. 631 00:35:11,960 --> 00:35:19,320 Speaker 1: Get into an openhe Oppenheimer or you know, Thomas Edison. Yeah, 632 00:35:19,400 --> 00:35:22,279 Speaker 1: if you're young man, learn how to do AI or not. 633 00:35:22,480 --> 00:35:22,920 Speaker 1: I don't know. 634 00:35:23,280 --> 00:35:25,080 Speaker 3: If you miss an hour, get the podcast Armstrong and 635 00:35:25,120 --> 00:35:25,920 Speaker 3: Getty on demand 636 00:35:28,320 --> 00:35:29,480 Speaker 1: Armstrong and Getty