1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:10,160 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,160 --> 00:00:17,239 Speaker 2: Arm Strong and Getty and no he Armstrong and Yetty. 4 00:00:24,440 --> 00:00:27,400 Speaker 3: Prince Andrew has been stripped of his royal title of 5 00:00:27,480 --> 00:00:31,360 Speaker 3: Prince due to his involvement with Jeffrey Epstein. And Andrew 6 00:00:31,440 --> 00:00:34,240 Speaker 3: says he can only become prince again if he gets 7 00:00:34,240 --> 00:00:35,680 Speaker 3: a kiss from a young princess. 8 00:00:38,720 --> 00:00:42,400 Speaker 4: Wow, so now he's completely out of the royal family. 9 00:00:42,479 --> 00:00:44,840 Speaker 4: I guess so you gonna have to like get a job. 10 00:00:46,240 --> 00:00:50,040 Speaker 1: I think he's got all sorts of weird royal guy wealth. 11 00:00:50,720 --> 00:00:53,640 Speaker 1: He's just been stripped of his titles. But I'm sure 12 00:00:53,760 --> 00:00:57,800 Speaker 1: they bought him off, so he doesn't like become some 13 00:00:57,840 --> 00:00:58,240 Speaker 1: sort of. 14 00:01:00,080 --> 00:01:02,080 Speaker 2: You know, ho for the tabloids. 15 00:01:02,320 --> 00:01:04,360 Speaker 4: Right, he'd have a lot of making money bad mouth 16 00:01:04,400 --> 00:01:05,920 Speaker 4: in the royal Yeah, he'd have a lot of things 17 00:01:05,920 --> 00:01:06,400 Speaker 4: he could say. 18 00:01:06,400 --> 00:01:06,919 Speaker 2: I'm sure. 19 00:01:07,400 --> 00:01:11,080 Speaker 1: I'm sure that NDA, which was on very fancy parchment 20 00:01:11,080 --> 00:01:15,280 Speaker 1: paper with gold calligraphy, is quite throw here's your Prince Andrew. 21 00:01:15,360 --> 00:01:20,000 Speaker 1: Headline of the week. Ex Prince Andrew allegedly had forty 22 00:01:20,240 --> 00:01:24,320 Speaker 1: prostitutes brought to a Thailand hotel on a five day 23 00:01:24,560 --> 00:01:26,000 Speaker 1: taxpayer funded trip. 24 00:01:26,080 --> 00:01:27,080 Speaker 2: That seems like enough. 25 00:01:27,720 --> 00:01:32,080 Speaker 1: That seems like a lot of prostitutes. Yeah, forty in 26 00:01:32,120 --> 00:01:33,240 Speaker 1: the course of a five days. 27 00:01:33,160 --> 00:01:37,920 Speaker 4: Three dozen prostitutes plus four right eight a day, if 28 00:01:38,840 --> 00:01:42,000 Speaker 4: assuming he distributed them evenly over the course of his 29 00:01:42,040 --> 00:01:46,080 Speaker 4: five ways. God, that is some Louis the sixteenth sort 30 00:01:46,080 --> 00:01:48,240 Speaker 4: of behavior. I mean, what the hell? 31 00:01:49,040 --> 00:01:51,040 Speaker 1: Yeah, for all I know, it was kind of a 32 00:01:51,080 --> 00:01:55,440 Speaker 1: cattle call, if you will, where he selected his favorites. 33 00:01:55,040 --> 00:02:00,640 Speaker 4: Out of that taxpayers paying I've never understood why Englanders 34 00:02:00,640 --> 00:02:03,640 Speaker 4: put up with the whole royal family bs anyway, I 35 00:02:03,680 --> 00:02:04,880 Speaker 4: hate everything about it. 36 00:02:04,960 --> 00:02:06,840 Speaker 2: But ties them to their history. 37 00:02:09,080 --> 00:02:11,120 Speaker 4: Well, it does in the way that kings have always 38 00:02:11,160 --> 00:02:13,760 Speaker 4: acted that sort of way. I'm going to get forty 39 00:02:13,840 --> 00:02:16,280 Speaker 4: women that will have sex with me, whether they like 40 00:02:16,320 --> 00:02:18,519 Speaker 4: it or not, and I'm going to choose my favorites. 41 00:02:19,320 --> 00:02:23,280 Speaker 1: So we'll touch on that, perhaps no pun intended, and 42 00:02:23,440 --> 00:02:26,600 Speaker 1: also should we clone Neanderthals? But first, a trio of 43 00:02:26,680 --> 00:02:29,280 Speaker 1: stories have found fascinating about the world of college in 44 00:02:29,320 --> 00:02:33,360 Speaker 1: the modern day. The first was in the Journal about 45 00:02:34,280 --> 00:02:36,040 Speaker 1: Pallanteer technologies. 46 00:02:36,840 --> 00:02:38,120 Speaker 2: Are you familiar with them at all? 47 00:02:38,480 --> 00:02:41,200 Speaker 1: They are a really innovative, interesting tech company that works 48 00:02:41,240 --> 00:02:45,320 Speaker 1: with the government a lot of the US military, intelligence agencies, 49 00:02:45,639 --> 00:02:50,960 Speaker 1: immigrations and border enforcement, and that's gotten them a lot 50 00:02:51,000 --> 00:02:54,639 Speaker 1: of attention on the left. They're kind of becoming something 51 00:02:54,720 --> 00:02:59,680 Speaker 1: close to old what was it, blacks black Stone black Ops, 52 00:03:01,360 --> 00:03:05,120 Speaker 1: the contracting company during the Iraq War. 53 00:03:05,440 --> 00:03:07,600 Speaker 2: It's flitted out of my head because I'm old, all right, 54 00:03:07,600 --> 00:03:08,680 Speaker 2: I know it's a really big deal. 55 00:03:08,880 --> 00:03:13,800 Speaker 1: Blackwater Blackwater, that's it? Who Blackwater? Keep on rolling anyway, 56 00:03:14,440 --> 00:03:16,839 Speaker 1: So the story about Pollenteer has nothing to do with that. 57 00:03:18,200 --> 00:03:22,160 Speaker 1: The headline is Palateer thinks college might be a waste, 58 00:03:22,240 --> 00:03:25,040 Speaker 1: so it's hiring high school grads. The tech company is 59 00:03:25,080 --> 00:03:27,480 Speaker 1: offering twenty two teams a chance to skip college for 60 00:03:27,520 --> 00:03:32,200 Speaker 1: its fellowships, which includes a four week seminar on Western civilization. 61 00:03:34,440 --> 00:03:40,760 Speaker 1: They're identifying bright, achieving kids, some of whom have applied, 62 00:03:41,880 --> 00:03:47,440 Speaker 1: excuse me, to elite universities and saying, hey, look, here's 63 00:03:47,440 --> 00:03:51,680 Speaker 1: a different alternative. Why don't you come to our meritocracy Fellowship, 64 00:03:52,120 --> 00:03:55,720 Speaker 1: an experiment launched under Palateer CEO Alex Karp's thesis that 65 00:03:55,800 --> 00:04:00,640 Speaker 1: existing American universities are no longer reliable or necessary training 66 00:04:00,720 --> 00:04:01,520 Speaker 1: good workers. 67 00:04:02,240 --> 00:04:04,160 Speaker 4: The whole college thing, now that we're on the other 68 00:04:04,240 --> 00:04:06,720 Speaker 4: side of it, seems so ridiculous. And it had been 69 00:04:06,720 --> 00:04:09,800 Speaker 4: getting ridiculous little by little over the decades and then 70 00:04:09,880 --> 00:04:12,360 Speaker 4: reached its ultimate point of ridiculousness. 71 00:04:13,120 --> 00:04:16,200 Speaker 1: Yeah, I'd agree, I think it's past its peak of ridiculousness, 72 00:04:16,240 --> 00:04:19,279 Speaker 1: but we're still close to it. But so Karp, who 73 00:04:19,400 --> 00:04:22,160 Speaker 1: was a college graduate and got a lot degree from Stanford, 74 00:04:22,160 --> 00:04:25,119 Speaker 1: the CEO said in an August earnings call that hiring 75 00:04:25,279 --> 00:04:27,800 Speaker 1: university students these days has meant hiring people who have 76 00:04:27,920 --> 00:04:32,640 Speaker 1: just been engaged in platitudes. And so they go into 77 00:04:32,640 --> 00:04:35,120 Speaker 1: this program and it sounds great. It kicks off with 78 00:04:35,160 --> 00:04:37,680 Speaker 1: a four week seminar with more than two dozen speakers. 79 00:04:37,880 --> 00:04:40,279 Speaker 1: Each week had a theme the foundations of the West, 80 00:04:40,680 --> 00:04:44,840 Speaker 1: US history and its unique cultural culture movements within America, 81 00:04:45,160 --> 00:04:48,679 Speaker 1: and case studies of leaders from Abraham Lincoln, Winston Churchill. 82 00:04:50,040 --> 00:04:53,440 Speaker 2: That sounds great, it does. It sounds absolutely fantastic. 83 00:04:53,560 --> 00:04:57,039 Speaker 1: And you know, I learned a lot in college in 84 00:04:57,080 --> 00:05:02,280 Speaker 1: the eighties, a lot. I've learned much much more after college, 85 00:05:02,800 --> 00:05:06,120 Speaker 1: but even in the eighties, And stay tuned for a great, 86 00:05:06,520 --> 00:05:11,800 Speaker 1: funny story about great inflation. I remember distinctly as it 87 00:05:11,839 --> 00:05:18,760 Speaker 1: was time to graduate Gladys. I did very well, all modesty, 88 00:05:19,040 --> 00:05:24,280 Speaker 1: you know, in a program called political science. And when 89 00:05:24,360 --> 00:05:27,000 Speaker 1: I got my degree, it wasn't that not a bachelor's 90 00:05:27,080 --> 00:05:30,840 Speaker 1: of science, it was a Bachelor of Arts. I thought, 91 00:05:30,880 --> 00:05:34,160 Speaker 1: wait a minute, science is writing the name of my degree, 92 00:05:34,240 --> 00:05:36,920 Speaker 1: but I got a Bachelor of Arts degree. What's going 93 00:05:36,960 --> 00:05:41,560 Speaker 1: on here? It's like it's a fake science. And it's 94 00:05:41,640 --> 00:05:44,880 Speaker 1: just gotten more and more silly since that day. I mean, 95 00:05:44,920 --> 00:05:47,839 Speaker 1: I'll put my education up against a modern college education anytime. 96 00:05:48,080 --> 00:05:53,960 Speaker 1: But it's all this soft, ridiculous learning theory, including radical 97 00:05:54,000 --> 00:05:56,760 Speaker 1: gender theory and the rest of it crap, and very 98 00:05:56,839 --> 00:06:00,440 Speaker 1: very little hard knowledge. But they go into the description 99 00:06:00,480 --> 00:06:02,760 Speaker 1: of the program and sounds really really cool, and they 100 00:06:02,760 --> 00:06:07,840 Speaker 1: get these kids into actual projects with clients quick and 101 00:06:08,160 --> 00:06:11,120 Speaker 1: have learned on their feet. And if you've got somebody 102 00:06:11,120 --> 00:06:16,920 Speaker 1: who's curious and ambitious, they will learn plenty. And I'm 103 00:06:16,960 --> 00:06:19,080 Speaker 1: a fan of liberal arts education, but it's become so 104 00:06:19,200 --> 00:06:20,760 Speaker 1: silly and softies. 105 00:06:20,839 --> 00:06:24,920 Speaker 4: Well, most of the liberal arts education now, and at 106 00:06:24,960 --> 00:06:29,239 Speaker 4: least the curriculums I will look at, has got so much. 107 00:06:29,400 --> 00:06:32,880 Speaker 4: This is why you should hate Western civilization as you 108 00:06:32,920 --> 00:06:34,040 Speaker 4: know in every course. 109 00:06:34,680 --> 00:06:35,279 Speaker 2: Oh yeah, you know. 110 00:06:35,560 --> 00:06:37,760 Speaker 1: I think it kind of became clear from the text. 111 00:06:37,800 --> 00:06:41,040 Speaker 1: But that was one thing I had meant to emphasize 112 00:06:41,360 --> 00:06:44,120 Speaker 1: is that the CEO and the leadership team Pallenteer is 113 00:06:44,279 --> 00:06:55,159 Speaker 1: squarely enthusiastically militantly pro Western civilization, pro voting rights, freedom 114 00:06:55,160 --> 00:06:59,160 Speaker 1: of speech, democracy, that sort of thing, and militantly against 115 00:06:59,520 --> 00:07:01,760 Speaker 1: socialist communism islemism the rest of it. 116 00:07:01,880 --> 00:07:04,440 Speaker 2: Love them for that. So I love this story. This 117 00:07:04,600 --> 00:07:05,040 Speaker 2: is great. 118 00:07:05,640 --> 00:07:10,240 Speaker 1: So Harvard just put out a report that argued it's 119 00:07:10,280 --> 00:07:13,640 Speaker 1: given out way too many a's and it needs to 120 00:07:13,720 --> 00:07:17,920 Speaker 1: enact grading reforms to avoid damaging the academic culture at Harvard. 121 00:07:18,840 --> 00:07:19,240 Speaker 2: Too late. 122 00:07:20,360 --> 00:07:24,360 Speaker 1: Well, yeah, too late. This is absolutely fantastic. Here the 123 00:07:24,400 --> 00:07:30,320 Speaker 1: percentage of A grades by academic year. Okay, back way back, jack, 124 00:07:30,360 --> 00:07:33,920 Speaker 1: we're going way the way way back machine. Back in 125 00:07:34,000 --> 00:07:38,160 Speaker 1: two thousand and five, two thousand and six, twenty five 126 00:07:38,200 --> 00:07:41,640 Speaker 1: and a half percent of grades were ays. Okay, here 127 00:07:41,680 --> 00:07:45,960 Speaker 1: we are not even twenty years later, it's gone from 128 00:07:45,960 --> 00:07:49,200 Speaker 1: twenty five and a half percent to fifty nine percent. 129 00:07:49,280 --> 00:07:50,560 Speaker 2: Look how much smarter people are. 130 00:07:50,680 --> 00:07:53,080 Speaker 4: Sixty percent of people get an A, or sixty percent 131 00:07:53,080 --> 00:07:54,559 Speaker 4: of the grades are as well. 132 00:07:54,720 --> 00:07:57,000 Speaker 1: Evidently they were ashamed of themselves because four or five 133 00:07:57,040 --> 00:07:59,120 Speaker 1: years ago was sixty three percent. 134 00:07:59,560 --> 00:08:01,000 Speaker 2: Although we climbing its. 135 00:08:00,800 --> 00:08:03,720 Speaker 4: Way back to that man, two thirds of grades should 136 00:08:03,720 --> 00:08:04,600 Speaker 4: not be a's. 137 00:08:04,920 --> 00:08:08,760 Speaker 2: Yeah, I know, it's just it's absolutely laughable. So anyway, Harvard, 138 00:08:08,840 --> 00:08:09,080 Speaker 2: So you. 139 00:08:09,120 --> 00:08:10,760 Speaker 4: Got to come out of Harvard saying you were a 140 00:08:10,800 --> 00:08:14,600 Speaker 4: straight A student at Harvard, right, and then you find 141 00:08:14,640 --> 00:08:17,440 Speaker 4: out you got in because you were white and rich 142 00:08:17,520 --> 00:08:20,200 Speaker 4: or pretended to be a rower and to give it 143 00:08:20,240 --> 00:08:21,760 Speaker 4: ace to two thirds of students. 144 00:08:21,800 --> 00:08:25,400 Speaker 1: So right, show up and fog this marror. Oh well, 145 00:08:25,600 --> 00:08:27,200 Speaker 1: we didn't need the mirror fog. They didn't give him 146 00:08:27,200 --> 00:08:29,720 Speaker 1: an A. I mean, just continue breathing. They'll give you 147 00:08:29,720 --> 00:08:32,080 Speaker 1: an A. Anyway, So they put out that report saying, 148 00:08:32,080 --> 00:08:35,760 Speaker 1: all right, we're becoming a joke. One student, and I'm 149 00:08:35,840 --> 00:08:38,800 Speaker 1: quoting now from the Harvard Crimson is summarizing from the 150 00:08:38,840 --> 00:08:42,640 Speaker 1: actual student newspaper. One college was so just One college 151 00:08:42,679 --> 00:08:46,360 Speaker 1: student was so distraught she quote skipped classes and was 152 00:08:46,559 --> 00:08:50,320 Speaker 1: just sobbing in bed the whole entire day. I was 153 00:08:50,440 --> 00:08:55,360 Speaker 1: just crying, said freshman Sofika unpronounceable on economics, environmental science, 154 00:08:55,360 --> 00:08:58,520 Speaker 1: and public policy major who says she believes the fields 155 00:08:58,520 --> 00:09:01,720 Speaker 1: are quote essential to building a more equitable, sustainable world. 156 00:09:02,280 --> 00:09:04,640 Speaker 1: I skipped classes on Monday, and I was just sobbing 157 00:09:04,679 --> 00:09:07,040 Speaker 1: in bed because I felt like I was I try 158 00:09:07,080 --> 00:09:09,320 Speaker 1: so hard in my classes and my grades aren't even 159 00:09:09,320 --> 00:09:09,720 Speaker 1: the best. 160 00:09:09,920 --> 00:09:11,600 Speaker 2: It just felt soul crushing. 161 00:09:13,760 --> 00:09:17,840 Speaker 1: A Zara also unpronounceable, a freshman who attended a sixty 162 00:09:17,840 --> 00:09:21,360 Speaker 1: five thousand dollars a year all girls' school that does 163 00:09:21,400 --> 00:09:25,520 Speaker 1: not rank students and offers an anti racist curriculum before 164 00:09:25,600 --> 00:09:26,199 Speaker 1: she came. 165 00:09:26,040 --> 00:09:30,280 Speaker 2: To college sixty five grandy year. Listen to this? 166 00:09:30,320 --> 00:09:35,880 Speaker 1: Would you said harsher grading practices would minimize her academic enjoyment? Quote, 167 00:09:36,440 --> 00:09:39,760 Speaker 1: I can't reach my maximum level of enjoyment just learning 168 00:09:39,800 --> 00:09:42,760 Speaker 1: the material because I'm so anxious about the midterm, so 169 00:09:42,920 --> 00:09:45,360 Speaker 1: anxious about the papers, and because I know it's so 170 00:09:45,480 --> 00:09:49,120 Speaker 1: harshly graded. If that standard is raised even more, it's 171 00:09:49,240 --> 00:09:52,280 Speaker 1: unrealistic to assume that people will enjoy their classes. 172 00:09:54,480 --> 00:09:55,360 Speaker 2: Don't listen to kids. 173 00:09:56,200 --> 00:10:01,920 Speaker 1: I almost can't have fun with that. It's so sad. 174 00:10:02,320 --> 00:10:05,280 Speaker 4: And it's the adults making these decisions as the kids reaction. 175 00:10:05,480 --> 00:10:07,760 Speaker 4: They didn't raise themselves, as we always say. 176 00:10:08,400 --> 00:10:13,240 Speaker 2: And the Democrats want sixteen year olds to vote. These 177 00:10:13,240 --> 00:10:16,200 Speaker 2: are like twenty year old Harvard students for quoting here. 178 00:10:16,360 --> 00:10:18,559 Speaker 4: The great inflation thing is a real problem all the 179 00:10:18,559 --> 00:10:19,880 Speaker 4: way through education. 180 00:10:21,160 --> 00:10:25,360 Speaker 1: A freshman, Kaita Aronson, who cried when getting into Harvard 181 00:10:25,400 --> 00:10:27,640 Speaker 1: after dreaming of attending the school for nearly a decade, 182 00:10:27,920 --> 00:10:31,520 Speaker 1: said the process effect of stricter standards makes her rethink 183 00:10:31,640 --> 00:10:35,920 Speaker 1: her decision to attend. The Ivy quote, I killed myself 184 00:10:36,040 --> 00:10:38,200 Speaker 1: all throughout high school to try to get into the school. 185 00:10:38,360 --> 00:10:39,360 Speaker 2: I was looking forward to. 186 00:10:39,400 --> 00:10:42,880 Speaker 1: Being fulfilled by my studies now rather than being killed 187 00:10:42,920 --> 00:10:43,400 Speaker 1: by them. 188 00:10:44,800 --> 00:10:46,600 Speaker 2: Well, another freshman. 189 00:10:46,360 --> 00:10:48,160 Speaker 4: I said, I got to admit, if you've been doing 190 00:10:48,200 --> 00:10:50,959 Speaker 4: great inflation for decades, I'd be pretty unhappy if you're 191 00:10:50,960 --> 00:10:52,880 Speaker 4: going to decide to fix it the year I come in. 192 00:10:53,480 --> 00:10:54,200 Speaker 2: They switch. 193 00:10:54,320 --> 00:10:56,000 Speaker 4: So I go out there with a you know, a 194 00:10:56,040 --> 00:10:59,559 Speaker 4: B minus average when everybody else graduated Harvard with an. 195 00:10:59,520 --> 00:11:01,160 Speaker 2: A average for doing the same and stuff. 196 00:11:02,240 --> 00:11:04,560 Speaker 1: Another freshman who works as a fellow for the South 197 00:11:04,600 --> 00:11:08,400 Speaker 1: Carolina Democratic Party and a speaker of the United States 198 00:11:08,440 --> 00:11:12,280 Speaker 1: Senate Youth Program who uses he him pronouns this quote 199 00:11:12,440 --> 00:11:16,000 Speaker 1: after this word from our friends at web Root. 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All right, 220 00:12:10,400 --> 00:12:13,559 Speaker 1: back to he him from a South Carolina Democratic Party. 221 00:12:14,440 --> 00:12:16,920 Speaker 1: What makes a Harvard student a Harvard student is their 222 00:12:16,960 --> 00:12:20,000 Speaker 1: engagement extra curriculars Now, we have to throw that all 223 00:12:20,040 --> 00:12:22,440 Speaker 1: away and just pursue academics. 224 00:12:23,160 --> 00:12:31,760 Speaker 2: Wow. Wow, wow you said that out loud. Yeah. 225 00:12:31,800 --> 00:12:35,000 Speaker 4: Interesting, I remember pre MEI becoming a parent, hearing about 226 00:12:35,280 --> 00:12:38,439 Speaker 4: from all these people I knew whose kids were straight 227 00:12:38,440 --> 00:12:41,120 Speaker 4: A students in high school. It's like, Wow, everybody's just 228 00:12:41,360 --> 00:12:43,880 Speaker 4: seems like everybody's kid is a straight A student. Yeah, 229 00:12:43,920 --> 00:12:47,120 Speaker 4: that whole great inflation thing is a problem, right, Yeah, 230 00:12:47,160 --> 00:12:50,680 Speaker 4: It's just it's perverted incentives and disincentives for the for 231 00:12:50,760 --> 00:12:53,199 Speaker 4: the students and the faculty and the rest of it. 232 00:12:53,240 --> 00:12:55,560 Speaker 1: Interestingly, the New York Times did a peace on Great 233 00:12:55,559 --> 00:12:58,400 Speaker 1: Inflation at Harvard that started all this found and we 234 00:12:58,440 --> 00:12:59,840 Speaker 1: talked about this at the time and found a lot 235 00:12:59,840 --> 00:13:02,600 Speaker 1: of Harvard students skip classes, don't do the ratings, but 236 00:13:02,679 --> 00:13:06,960 Speaker 1: coast throw anyway due to rampant grade inflation. You know, 237 00:13:07,000 --> 00:13:09,000 Speaker 1: we didn't get to the third story I wanted to do. 238 00:13:09,040 --> 00:13:12,120 Speaker 1: We're out of Time. It's about a guy who in 239 00:13:12,160 --> 00:13:16,400 Speaker 1: effect calls the plays for one hundred different college football teams. 240 00:13:16,720 --> 00:13:19,920 Speaker 1: Never played it down of competitive football, but he wrote 241 00:13:19,920 --> 00:13:22,280 Speaker 1: a book that all the big coaches, or a lot 242 00:13:22,320 --> 00:13:23,400 Speaker 1: of the big coaches go with. 243 00:13:23,480 --> 00:13:25,199 Speaker 2: Well, that's interesting. I'd like to hear that. 244 00:13:25,840 --> 00:13:28,080 Speaker 4: Yeah, I was just thinking how much could I have 245 00:13:28,240 --> 00:13:31,000 Speaker 4: skated in high school or college these days? Since I 246 00:13:31,120 --> 00:13:34,199 Speaker 4: wouldn't have been shooting for an A so lots of 247 00:13:34,240 --> 00:13:36,560 Speaker 4: people getting a's, I'd have been perfectly happy with the B. 248 00:13:37,040 --> 00:13:40,600 Speaker 4: So I could really have done practically nothing. 249 00:13:41,600 --> 00:13:44,120 Speaker 1: You might not have even had to like show up, 250 00:13:45,160 --> 00:13:48,280 Speaker 1: just enroll and then get your diploma at the end. 251 00:13:48,800 --> 00:13:51,520 Speaker 4: Polling shows a lot of you are really really worried 252 00:13:51,520 --> 00:13:54,240 Speaker 4: about the shutdown? And is that true? Are are you 253 00:13:54,280 --> 00:13:55,760 Speaker 4: all that worried about the shutdown? Do you even know 254 00:13:55,840 --> 00:13:56,360 Speaker 4: what's going on? 255 00:13:56,720 --> 00:13:57,120 Speaker 2: I don't know. 256 00:13:57,400 --> 00:13:59,120 Speaker 4: We'll get to that and a whole bunch of stuff 257 00:13:59,120 --> 00:14:05,760 Speaker 4: on the way. Usually I feel like polling kind of 258 00:14:05,800 --> 00:14:08,320 Speaker 4: matches what I assume is going on, at least a 259 00:14:08,360 --> 00:14:11,040 Speaker 4: little bit. Is pulling around the shutdown does not at 260 00:14:11,040 --> 00:14:13,360 Speaker 4: all when we talk about that coming up next segment. 261 00:14:13,920 --> 00:14:15,120 Speaker 2: Yeah, I gotta. 262 00:14:14,920 --> 00:14:19,840 Speaker 1: Admit I'm also somewhat surprised, perplexed, confused by the results. 263 00:14:20,240 --> 00:14:22,640 Speaker 1: So stay with us. So do you like the football? 264 00:14:22,720 --> 00:14:24,920 Speaker 1: I really like the football. I want to watch a 265 00:14:24,960 --> 00:14:26,720 Speaker 1: lot of watch a lot of NFL. I watch some 266 00:14:26,760 --> 00:14:30,800 Speaker 1: college football, and at some point every Saturday, there are 267 00:14:30,960 --> 00:14:33,840 Speaker 1: critical moments in the game where the coach makes game 268 00:14:33,920 --> 00:14:38,880 Speaker 1: changing decisions, and when they do, they often rely on 269 00:14:39,000 --> 00:14:43,080 Speaker 1: a single eighty seven page book. It's practically a booklet 270 00:14:43,200 --> 00:14:48,600 Speaker 1: that they all have on their bookshelves. At least at 271 00:14:48,720 --> 00:14:52,840 Speaker 1: least one hundred or so fairly prominent college football teams 272 00:14:52,920 --> 00:14:55,720 Speaker 1: use this book. It was not authored by Bill Walsh 273 00:14:55,800 --> 00:14:58,520 Speaker 1: or Nick Saban or any of college football's greatest minds, 274 00:14:58,840 --> 00:15:01,760 Speaker 1: and it's not Sun Sou The Art of War. It 275 00:15:01,880 --> 00:15:04,720 Speaker 1: is a color coded guide written by a suburban dad 276 00:15:04,720 --> 00:15:08,720 Speaker 1: from Atlanta who never played it down of competitive football. 277 00:15:08,920 --> 00:15:14,040 Speaker 1: Michael McRoberts was a Northwestern grad in biomedical engineering who 278 00:15:14,160 --> 00:15:18,800 Speaker 1: spent much of his career designing debt collection strategies for 279 00:15:18,880 --> 00:15:20,440 Speaker 1: a credit bureau. 280 00:15:21,720 --> 00:15:22,480 Speaker 2: But his most. 281 00:15:22,320 --> 00:15:25,760 Speaker 1: Impactful work is a compilation of football strategies that he 282 00:15:25,800 --> 00:15:28,560 Speaker 1: assembled into something called The Game Book. 283 00:15:28,720 --> 00:15:31,360 Speaker 4: I find myself wondering if he's being compensated in such 284 00:15:31,360 --> 00:15:32,680 Speaker 4: a way that he ought to be. That should be 285 00:15:32,760 --> 00:15:35,800 Speaker 4: worth many millions of dollars. I don't know if he's 286 00:15:35,800 --> 00:15:36,760 Speaker 4: getting paid at all. 287 00:15:37,040 --> 00:15:40,560 Speaker 1: Yeah, I want that's an interesting thought. I mean, because 288 00:15:40,560 --> 00:15:43,080 Speaker 1: it's a limited even if you sold one to every 289 00:15:43,080 --> 00:15:46,600 Speaker 1: single college coach in the world. You're not gonna get rich. 290 00:15:48,160 --> 00:15:54,080 Speaker 1: These big time coaches make many millions of dollars. Yeah, 291 00:15:54,120 --> 00:15:57,800 Speaker 1: and for making these kinds of decisions right, right, And 292 00:15:57,800 --> 00:16:00,360 Speaker 1: it's funny having raised three kids and said him off 293 00:16:00,400 --> 00:16:03,280 Speaker 1: to school and careers and stuff like that. The fact 294 00:16:03,320 --> 00:16:06,120 Speaker 1: that he started in biomedical engineering, then went into debt 295 00:16:06,120 --> 00:16:08,640 Speaker 1: collection strategies for credit bureaus, and now he's famous for 296 00:16:08,680 --> 00:16:11,040 Speaker 1: writing college football strategy books. 297 00:16:11,160 --> 00:16:13,440 Speaker 2: It's a good illustration of how life really works. 298 00:16:13,640 --> 00:16:16,760 Speaker 1: But anyway, on every page, McRoberts presents the best course 299 00:16:16,800 --> 00:16:19,720 Speaker 1: of action in specific situations, from when to go for 300 00:16:19,760 --> 00:16:22,960 Speaker 1: it on fourth down to late game clock management. The 301 00:16:23,080 --> 00:16:27,400 Speaker 1: company he founded, Championship Analytics Incorporated, now has a client 302 00:16:27,480 --> 00:16:30,640 Speaker 1: list that includes more than one hundred major college football programs, 303 00:16:31,000 --> 00:16:33,840 Speaker 1: and it includes some of the most successful coaches in 304 00:16:33,880 --> 00:16:36,640 Speaker 1: the game. Old Mess coach Lane Kiffin has been using 305 00:16:36,640 --> 00:16:39,480 Speaker 1: the book for six years, and he says, if you 306 00:16:39,560 --> 00:16:41,280 Speaker 1: really follow it, you're going to be much more aggressive 307 00:16:41,320 --> 00:16:42,920 Speaker 1: than the old way of thinking, the one where we're 308 00:16:42,960 --> 00:16:48,240 Speaker 1: all raised around and watched. So in twenty eleven, he 309 00:16:48,320 --> 00:16:51,280 Speaker 1: was staying up with his infant son through the n itis. 310 00:16:51,360 --> 00:16:54,920 Speaker 1: Any dad and mom can relate to He began tinkering 311 00:16:54,960 --> 00:16:58,600 Speaker 1: with spreadsheets. He couldn't believe that while the analytics revolution 312 00:16:58,680 --> 00:17:01,920 Speaker 1: swept through other sports, football coaches still trusted their gut 313 00:17:01,960 --> 00:17:02,840 Speaker 1: over hard data. 314 00:17:03,080 --> 00:17:05,320 Speaker 2: Okay, it was someone the time that they are. You know, 315 00:17:05,320 --> 00:17:06,520 Speaker 2: they're making the movie with. 316 00:17:08,680 --> 00:17:11,199 Speaker 4: Brad Pitt, Yeah, for Moneyball, Brad Pitt showing it's all 317 00:17:11,200 --> 00:17:13,000 Speaker 4: about figuring out the numbers. And he said they're doing 318 00:17:13,000 --> 00:17:15,280 Speaker 4: it in baseball, but not doing it in football. That's interesting, 319 00:17:15,880 --> 00:17:17,000 Speaker 4: and he says, why isn't. 320 00:17:16,840 --> 00:17:19,000 Speaker 1: Someone giving them that information would at least let them 321 00:17:19,040 --> 00:17:21,840 Speaker 1: know what the math would recommend. Turned out, the calculations 322 00:17:22,000 --> 00:17:24,320 Speaker 1: he used in his day job could also predict prudent 323 00:17:24,359 --> 00:17:27,280 Speaker 1: courses of action for football teams. He began building the book, 324 00:17:27,320 --> 00:17:29,800 Speaker 1: which grew to have a color coded system, readable at 325 00:17:29,800 --> 00:17:32,359 Speaker 1: a glance. Red for punt, yellow for attempted field, gold 326 00:17:32,359 --> 00:17:34,520 Speaker 1: and green for go, When to try for a two 327 00:17:34,520 --> 00:17:37,120 Speaker 1: point conversion, when to attempt an onside kick, kick deep, 328 00:17:37,280 --> 00:17:40,120 Speaker 1: how to manage two minute warning, everything nearly everything outside 329 00:17:40,119 --> 00:17:47,160 Speaker 1: of you know, specific X and o's, and with his advice, 330 00:17:47,280 --> 00:17:50,320 Speaker 1: coaches have gotten a lot bolder. Last season, teams faced 331 00:17:50,320 --> 00:17:55,200 Speaker 1: with second or fourth down and less than blah blah 332 00:17:55,200 --> 00:17:59,359 Speaker 1: blah went for it fifty seven percent of the time, 333 00:17:59,600 --> 00:18:02,320 Speaker 1: up from twenty seven percent just a few years ago. 334 00:18:02,560 --> 00:18:04,560 Speaker 4: Wait till AI get a hold of these numbers and 335 00:18:04,600 --> 00:18:07,800 Speaker 4: can factor in a whole bunch of other stuff week 336 00:18:07,880 --> 00:18:10,679 Speaker 4: by week. That'll probably be become a big part of 337 00:18:10,720 --> 00:18:11,360 Speaker 4: all sports. 338 00:18:11,640 --> 00:18:15,640 Speaker 1: I'll be individualized team by team, Yeah, Armstrong and Getty. 339 00:18:17,160 --> 00:18:19,159 Speaker 5: I want to be mayor so I can deliver a 340 00:18:19,200 --> 00:18:24,040 Speaker 5: better New York free healthcare, affordable housing, free Wi Fi 341 00:18:24,720 --> 00:18:28,480 Speaker 5: as mayor, Can I make that happen? I'm not sure yet, 342 00:18:29,560 --> 00:18:34,159 Speaker 5: but together we're gonna find out that the answer is no. 343 00:18:37,280 --> 00:18:42,800 Speaker 4: That's interesting this Saturday Night Live open pretty honest commentary, 344 00:18:42,880 --> 00:18:46,879 Speaker 4: inaccurate commentary there about Zorn Mamdani. That many of the 345 00:18:46,880 --> 00:18:49,920 Speaker 4: things he's saying he's gonna do, he doesn't have the 346 00:18:49,960 --> 00:18:51,760 Speaker 4: power to do. Although that's where we are with our 347 00:18:51,800 --> 00:18:54,879 Speaker 4: politics in general. Now, Biden did it, Trump did it, 348 00:18:55,640 --> 00:18:58,120 Speaker 4: Mumdanni's doing it. You claim all sorts of things you're 349 00:18:58,119 --> 00:18:59,760 Speaker 4: gonna do on day one that you don't even close 350 00:18:59,840 --> 00:19:03,800 Speaker 4: to have the authority to do. But it shows directionally 351 00:19:03,880 --> 00:19:05,960 Speaker 4: the direction you're going. I'm glad I don't live in 352 00:19:06,000 --> 00:19:07,919 Speaker 4: New York. So I don't have to suffer on whatever 353 00:19:08,000 --> 00:19:10,680 Speaker 4: policies he is able to enact. Me a heck of 354 00:19:10,720 --> 00:19:13,080 Speaker 4: an experiment for the United States to have the financial 355 00:19:13,119 --> 00:19:18,359 Speaker 4: capital of America run by a freaking socialist. And again, 356 00:19:18,800 --> 00:19:22,119 Speaker 4: not like socialists like we all said Barack Obama's a socialist, 357 00:19:23,040 --> 00:19:26,639 Speaker 4: comble airs a socialist. This guy actually is a socialist 358 00:19:26,680 --> 00:19:28,879 Speaker 4: like member of the party Socialist. 359 00:19:29,280 --> 00:19:32,000 Speaker 1: Well in the DSA, the Democratic Socialists of America have 360 00:19:32,080 --> 00:19:35,560 Speaker 1: swung way more radical than they were when they were founded. 361 00:19:35,800 --> 00:19:37,480 Speaker 1: When they were founded, it was like, we need a 362 00:19:37,520 --> 00:19:41,320 Speaker 1: bigger social safety net. Now they are empty, the prisons open, 363 00:19:41,359 --> 00:19:45,240 Speaker 1: the borders, abolish, the police, sees the means of production, 364 00:19:46,000 --> 00:19:50,280 Speaker 1: you know, borderline communists, oh in flaming anti Semites. So 365 00:19:50,320 --> 00:19:53,520 Speaker 1: I was listening to some of the political coverage this 366 00:19:53,600 --> 00:19:54,280 Speaker 1: morning on. 367 00:19:55,880 --> 00:19:58,360 Speaker 4: News America. I never can remember the channel of that 368 00:19:58,400 --> 00:19:59,800 Speaker 4: one America news network. 369 00:20:00,240 --> 00:20:01,720 Speaker 2: I don't know what is it called me. 370 00:20:03,480 --> 00:20:03,879 Speaker 5: I don't know. 371 00:20:03,960 --> 00:20:07,600 Speaker 4: I don't know if that's right. I don't know, because 372 00:20:07,600 --> 00:20:09,520 Speaker 4: I want to know what my news is news Nation? 373 00:20:09,760 --> 00:20:15,439 Speaker 4: What is news Nation? News Nation is news Nation Zone channel? Okay, 374 00:20:15,480 --> 00:20:17,080 Speaker 4: that's what I watch every That's one of the many 375 00:20:17,200 --> 00:20:20,600 Speaker 4: shows I watch every day News Nation. Anyway, their analysis 376 00:20:20,880 --> 00:20:24,400 Speaker 4: was the showing the pulling. It's a huge age divide, 377 00:20:25,240 --> 00:20:32,720 Speaker 4: and the younger crowd is entirely for Zoran because he 378 00:20:33,800 --> 00:20:37,600 Speaker 4: doesn't dig capitalism and because he's anti Israel to way 379 00:20:37,600 --> 00:20:40,879 Speaker 4: more of an extent than the older crowd, given the 380 00:20:40,880 --> 00:20:42,800 Speaker 4: fact that New York is four out of five voters 381 00:20:42,840 --> 00:20:47,520 Speaker 4: of Democrats already, so it's Democrats who don't believe in capitalism, 382 00:20:48,640 --> 00:20:50,640 Speaker 4: and we got this text. I thought that was really good. 383 00:20:50,680 --> 00:20:56,600 Speaker 4: Capitalism is the only real economic system. All other economic 384 00:20:56,680 --> 00:20:59,880 Speaker 4: systems and quotes are actually political systems, which of course 385 00:20:59,880 --> 00:21:04,320 Speaker 4: is true. Free market is an economic system. All your 386 00:21:04,359 --> 00:21:06,919 Speaker 4: other systems are. Yet politics have to be evolved at 387 00:21:06,960 --> 00:21:09,959 Speaker 4: such an extent to control who's going to get what 388 00:21:10,080 --> 00:21:10,640 Speaker 4: and what way. 389 00:21:11,960 --> 00:21:13,480 Speaker 2: Yeah, that's that's a really good point. 390 00:21:13,600 --> 00:21:16,480 Speaker 1: I mean, if I was to phrase it a little differently, 391 00:21:16,520 --> 00:21:21,639 Speaker 1: I would say the free market is the the greatest 392 00:21:21,720 --> 00:21:25,359 Speaker 1: achievement ever wrought in keeping politics. 393 00:21:24,760 --> 00:21:27,600 Speaker 2: Out of the economic system. It's your best shot. 394 00:21:28,640 --> 00:21:32,480 Speaker 1: Otherwise it's it's just becomes theft. Yeah, theft and game 395 00:21:32,560 --> 00:21:34,760 Speaker 1: fixing and some on scaling. 396 00:21:35,560 --> 00:21:37,639 Speaker 4: So how far is he going to go with his 397 00:21:37,760 --> 00:21:43,520 Speaker 4: rhetoric once he wins. This is the tacking toward the middle. Mum, 398 00:21:43,720 --> 00:21:47,840 Speaker 4: Donnie right. We'll see what he has to say once 399 00:21:47,880 --> 00:21:49,520 Speaker 4: he wins tomorrow. I can't wait to hear his speech 400 00:21:49,560 --> 00:21:51,520 Speaker 4: tomorrow night or in coming days. It's give me something 401 00:21:51,560 --> 00:21:56,880 Speaker 4: to watch. He combined his youth and exuberance with crazy, 402 00:21:56,960 --> 00:22:00,840 Speaker 4: crazy ideas I don't know so well. Again, I'm glad 403 00:22:00,880 --> 00:22:02,480 Speaker 4: I don't live there and I get to watch them. 404 00:22:02,720 --> 00:22:06,639 Speaker 4: The Democrats run their socialist experiment from three thousand miles away. 405 00:22:07,320 --> 00:22:11,480 Speaker 1: It could be a real zoo to wash unfold. I mean, 406 00:22:11,520 --> 00:22:13,040 Speaker 1: a great soap opera. 407 00:22:13,160 --> 00:22:15,680 Speaker 4: So the other polling that has been getting a lot 408 00:22:15,680 --> 00:22:17,240 Speaker 4: of attention is around the shutdown. 409 00:22:17,280 --> 00:22:19,560 Speaker 2: So we're at day thirty four. Tomorrow's day thirty five. 410 00:22:19,720 --> 00:22:21,919 Speaker 4: Tomorrow will either tie or set the record for the 411 00:22:21,920 --> 00:22:23,000 Speaker 4: longest shutdown ever. 412 00:22:24,600 --> 00:22:27,120 Speaker 2: It has had zero effect on my life. 413 00:22:27,160 --> 00:22:29,480 Speaker 4: Now, maybe part of that is I'm fortunate enough to 414 00:22:29,560 --> 00:22:31,520 Speaker 4: not at this at least at this point beyond any 415 00:22:31,520 --> 00:22:34,399 Speaker 4: government programs, so I wouldn't notice the shutdown. 416 00:22:36,040 --> 00:22:39,120 Speaker 1: We have both known the delicious tangy taste of government 417 00:22:39,200 --> 00:22:40,119 Speaker 1: cheese in our lives. 418 00:22:40,119 --> 00:22:43,960 Speaker 4: Correct, I never ate it up because I needed it 419 00:22:44,040 --> 00:22:46,680 Speaker 4: my roommate went and got government cheese. He was big 420 00:22:46,720 --> 00:22:50,600 Speaker 4: on government programs, it still is, and so he went 421 00:22:50,600 --> 00:22:52,440 Speaker 4: and got cheese because we qualified for it. I wasn't 422 00:22:52,440 --> 00:22:54,400 Speaker 4: gonna go get freaking government cheese. 423 00:22:55,000 --> 00:22:57,959 Speaker 1: Yeah, I remember at some point we found ourselves in 424 00:22:57,960 --> 00:23:01,720 Speaker 1: possession of a giant block of che or government cheese. 425 00:23:01,800 --> 00:23:03,560 Speaker 2: That don't remember is a long. 426 00:23:03,400 --> 00:23:06,680 Speaker 4: Time about the government gives out so much food that 427 00:23:06,760 --> 00:23:07,560 Speaker 4: gets thrown away. 428 00:23:07,960 --> 00:23:10,000 Speaker 2: I was talking about the schools a week or so ago. 429 00:23:10,320 --> 00:23:13,959 Speaker 4: I heard some teachers complaining that they provide the schools 430 00:23:14,000 --> 00:23:18,040 Speaker 4: now provide breakfast and lunch at least locally for every kid, 431 00:23:18,080 --> 00:23:21,000 Speaker 4: whether you asked for it or not, and almost all 432 00:23:21,040 --> 00:23:23,240 Speaker 4: of it goes in the trash every day. 433 00:23:23,480 --> 00:23:24,760 Speaker 2: Taxpayers are paying. 434 00:23:24,520 --> 00:23:27,680 Speaker 1: For it, right, And we could get into someday the 435 00:23:27,720 --> 00:23:29,600 Speaker 1: history of the politics around it, where you've got to 436 00:23:29,640 --> 00:23:32,639 Speaker 1: have a certain amount of agricultural production. I mean, you 437 00:23:32,640 --> 00:23:34,919 Speaker 1: don't want to be dependent on China for your food, 438 00:23:35,119 --> 00:23:38,879 Speaker 1: for instance, and so we've subsidized and tried to regulate. 439 00:23:39,080 --> 00:23:41,880 Speaker 1: So we've always got good at it, but it's gone crazy. 440 00:23:42,040 --> 00:23:45,200 Speaker 1: I have the Department of Agriculture is now just all powerful. 441 00:23:45,359 --> 00:23:47,720 Speaker 2: I definitely have been paycheck to paycheck in my life. 442 00:23:47,760 --> 00:23:49,240 Speaker 4: So if I was if I would have missed a 443 00:23:49,280 --> 00:23:51,639 Speaker 4: paycheck like a lot of government workers are now, it 444 00:23:51,680 --> 00:23:54,240 Speaker 4: would have been brutal at various parts of my life 445 00:23:54,640 --> 00:23:58,440 Speaker 4: to I need that paycheck. That's how I make my rent? Now, 446 00:23:58,480 --> 00:23:59,359 Speaker 4: what am I supposed to do? 447 00:23:59,800 --> 00:24:00,560 Speaker 2: That have sucked? 448 00:24:00,600 --> 00:24:03,560 Speaker 4: So if that's happening to you and you're a government worker, 449 00:24:03,560 --> 00:24:06,359 Speaker 4: you definitely be feeling the shutdown. But in general, for 450 00:24:06,480 --> 00:24:09,920 Speaker 4: most people, I don't understand how these numbers add up. 451 00:24:10,680 --> 00:24:14,280 Speaker 4: So to the poll, over half of Americans are very 452 00:24:14,359 --> 00:24:17,520 Speaker 4: concerned about the government shutdown. I would put myself on 453 00:24:17,600 --> 00:24:21,200 Speaker 4: a scale of one to ten a zero in terms 454 00:24:21,200 --> 00:24:23,000 Speaker 4: of very concerned about the government shutdown. 455 00:24:23,040 --> 00:24:24,680 Speaker 2: I don't know if I have any concern or whatsoever. 456 00:24:24,720 --> 00:24:28,119 Speaker 4: But over half are very concerned, and thirty two percent 457 00:24:28,200 --> 00:24:31,720 Speaker 4: or somewhat concerned. So that gets you to eighty six 458 00:24:32,320 --> 00:24:36,560 Speaker 4: percent of Americans are very or somewhat concerned about the shutdown? 459 00:24:36,680 --> 00:24:37,960 Speaker 2: Am I that out of touch? 460 00:24:38,920 --> 00:24:40,720 Speaker 1: Maybe they need to run it through the media filter, 461 00:24:40,840 --> 00:24:44,240 Speaker 1: because again they've been indoctrinated told a million times how 462 00:24:44,280 --> 00:24:48,040 Speaker 1: incredibly important this is and about a terrible crisis it is, 463 00:24:48,080 --> 00:24:50,679 Speaker 1: and people just they're only sort of half aware of 464 00:24:50,680 --> 00:24:52,920 Speaker 1: the reality of it because they're going about their lives, 465 00:24:52,960 --> 00:24:53,560 Speaker 1: and they take the. 466 00:24:53,560 --> 00:24:57,160 Speaker 2: Media's or for it. The longest that's wildly inflated. Those numbers. 467 00:24:57,200 --> 00:25:00,000 Speaker 4: Now, the longest shutdown in American history wasn't very much 468 00:25:00,000 --> 00:25:02,360 Speaker 4: many years ago. Do you even remember that it happened? 469 00:25:03,359 --> 00:25:06,000 Speaker 4: Just the detail, just you know, stuff around the edge. 470 00:25:06,200 --> 00:25:09,160 Speaker 4: You know what, I would argue to mister and missus Americas, 471 00:25:09,520 --> 00:25:12,639 Speaker 4: these government shutdowns are so stupid and so often just 472 00:25:12,840 --> 00:25:17,600 Speaker 4: posturing that this one is so egregious and embarrassing in 473 00:25:17,680 --> 00:25:20,800 Speaker 4: how what a big nothing burger it is. I'm hoping 474 00:25:20,960 --> 00:25:23,879 Speaker 4: this might end these idiotic little face. 475 00:25:23,640 --> 00:25:24,479 Speaker 2: Offs in the future. 476 00:25:24,600 --> 00:25:27,720 Speaker 1: So I'm enthusiastic about the government shutdown. How how many 477 00:25:27,720 --> 00:25:29,960 Speaker 1: people are with me? What's our percentage? 478 00:25:30,640 --> 00:25:33,080 Speaker 4: So four out of five Americans are very or somewhat 479 00:25:33,119 --> 00:25:35,879 Speaker 4: concerned about the shutdown. And then to the percentage that 480 00:25:35,960 --> 00:25:40,119 Speaker 4: say they're being affected by the government shutdown, thirty seven 481 00:25:40,160 --> 00:25:43,680 Speaker 4: percent very concerned, thirty five percent somewhat concerned. That gets 482 00:25:43,720 --> 00:25:46,800 Speaker 4: you about two thirds? Are two thirds of Americans being 483 00:25:46,800 --> 00:25:49,960 Speaker 4: affected by the government shutdown? I just find that hard 484 00:25:50,000 --> 00:25:54,040 Speaker 4: to believe. I just I don't think about it at all. Yeah, 485 00:25:54,280 --> 00:25:55,679 Speaker 4: I don't know how long it would have to go 486 00:25:55,760 --> 00:25:58,119 Speaker 4: on before I would start to be concerned about it. 487 00:25:58,640 --> 00:26:01,000 Speaker 2: Again, I must ask you'rehere is this poll from? 488 00:26:01,400 --> 00:26:04,720 Speaker 4: Oh, they're all about the same. Everybody had one. Everybody 489 00:26:04,720 --> 00:26:08,000 Speaker 4: released poles yesterday, So you had NBC, ABC, CBS, Wall Street, 490 00:26:08,119 --> 00:26:09,600 Speaker 4: lots of different poles that came out, and all the 491 00:26:09,600 --> 00:26:11,440 Speaker 4: talk shows yesterday and they were all around the same. 492 00:26:11,480 --> 00:26:13,640 Speaker 4: This is CBS as I'm reading from, but the other 493 00:26:13,680 --> 00:26:18,360 Speaker 4: ones are similar. Yeah, I don't know if I'm missing 494 00:26:18,480 --> 00:26:20,160 Speaker 4: something text us or email. 495 00:26:21,960 --> 00:26:22,080 Speaker 1: Uh. 496 00:26:23,640 --> 00:26:25,119 Speaker 4: And if you're in a you know, if you're a 497 00:26:25,119 --> 00:26:29,359 Speaker 4: government worker and you're actually having missed your paycheck on 498 00:26:30,359 --> 00:26:33,240 Speaker 4: over the weekend, struggling and I would suck. 499 00:26:34,640 --> 00:26:38,040 Speaker 2: But for those of you aren't government workers, where is this? 500 00:26:40,880 --> 00:26:44,960 Speaker 1: Yeah? Maybe you applied for a passport and it's running later, 501 00:26:45,960 --> 00:26:46,480 Speaker 1: I don't. 502 00:26:46,280 --> 00:26:47,800 Speaker 2: Know, possibly flying. 503 00:26:47,840 --> 00:26:50,760 Speaker 4: There were quite a few delays and cancelations over the weekend. 504 00:26:52,040 --> 00:26:54,479 Speaker 4: All of the polling may lead with who's getting blamed? 505 00:26:54,680 --> 00:26:58,480 Speaker 4: You talk about a nothing burger, who cares who gets blamed? 506 00:26:58,520 --> 00:27:00,439 Speaker 4: When it it's over, it will go away. Nobody will 507 00:27:00,440 --> 00:27:03,080 Speaker 4: think about it again. Nobody's going to the polls a 508 00:27:03,240 --> 00:27:07,480 Speaker 4: year from tomorrow thinking about the government shutdown and who 509 00:27:07,560 --> 00:27:12,000 Speaker 4: to blame noboddy. Yeah, Now, Gavin Newsom is going to 510 00:27:12,040 --> 00:27:14,000 Speaker 4: get his big win tomorrow, which I don't look forward 511 00:27:14,040 --> 00:27:16,520 Speaker 4: to him crowing about with his slicked back hair, which. 512 00:27:16,359 --> 00:27:20,600 Speaker 2: He's going laugh. I laughed. He's definitely letting it go 513 00:27:20,760 --> 00:27:25,160 Speaker 2: more gray lately. Yeah, it looks more uh distinguished. 514 00:27:25,440 --> 00:27:28,520 Speaker 1: Yeah, he's distinguished himself by pooping on the great state 515 00:27:28,520 --> 00:27:29,240 Speaker 1: of California. 516 00:27:29,440 --> 00:27:30,040 Speaker 2: Eh wow. 517 00:27:30,200 --> 00:27:33,399 Speaker 1: Speaking of which, there's your headline. Drunk judge caught with 518 00:27:33,400 --> 00:27:36,000 Speaker 1: her pants down peeing in public? Is cops haul away 519 00:27:36,080 --> 00:27:38,720 Speaker 1: interfering husband? This live team cover. 520 00:27:38,680 --> 00:27:40,600 Speaker 4: There's a lot there. I feel like you need to 521 00:27:40,600 --> 00:27:41,920 Speaker 4: go slower. Can you say that again? 522 00:27:42,480 --> 00:27:43,280 Speaker 2: Drunk judge? 523 00:27:43,359 --> 00:27:45,960 Speaker 4: Drunk judge? Could the judge is drunk? It's not against 524 00:27:45,960 --> 00:27:47,600 Speaker 4: a law to get drunk. I assume not on the 525 00:27:47,600 --> 00:27:52,000 Speaker 4: bench caught correct? Caught with her pants down public? 526 00:27:52,160 --> 00:27:57,280 Speaker 2: To her? Wasn't I was picturing of him? No pants down? Yes? 527 00:27:57,400 --> 00:27:59,360 Speaker 2: In public? Correct? 528 00:27:59,440 --> 00:28:03,359 Speaker 1: As cop haul away interfering husband. The husband is trying 529 00:28:03,359 --> 00:28:07,840 Speaker 1: to stop the Hey, he's trying to stop the arrest, 530 00:28:07,920 --> 00:28:08,560 Speaker 1: not the peeing. 531 00:28:09,920 --> 00:28:11,920 Speaker 2: He appeared to be in favor of the the. 532 00:28:12,440 --> 00:28:17,359 Speaker 4: Paintlesssination, public paintlessness of a judge, the nturation. The problem 533 00:28:17,400 --> 00:28:20,440 Speaker 4: with that is that's poor judgment to have your pants 534 00:28:20,480 --> 00:28:20,800 Speaker 4: down in. 535 00:28:20,760 --> 00:28:24,720 Speaker 1: Public exactly, and as often happens in these situations, when 536 00:28:24,720 --> 00:28:26,960 Speaker 1: the police interceded and said, I don't care who you are, 537 00:28:27,000 --> 00:28:30,520 Speaker 1: you need to be cool about this, they decided not 538 00:28:30,640 --> 00:28:32,840 Speaker 1: to be at all, because they were far too important 539 00:28:32,880 --> 00:28:34,360 Speaker 1: to have the law imposed upon them. 540 00:28:34,440 --> 00:28:36,960 Speaker 2: Get into it with the cops. Don't you know who? 541 00:28:37,400 --> 00:28:38,880 Speaker 4: Yeah, I know who you are. You're somebody with your 542 00:28:38,880 --> 00:28:41,880 Speaker 4: pants down on your ankles in public. That's who you are. 543 00:28:41,920 --> 00:28:44,040 Speaker 1: Yeah, we're gonna call you a bare ass Jane, that's 544 00:28:44,080 --> 00:28:49,040 Speaker 1: who you are. Huh, pull up your pants, Rube. Also, 545 00:28:49,040 --> 00:28:51,400 Speaker 1: should we clone the Neanderthals? 546 00:28:51,440 --> 00:28:52,680 Speaker 2: Oh cool, that's next. Stay here. 547 00:28:56,600 --> 00:29:00,920 Speaker 6: And Paris prosecutors now say amateurs, not professationals carried out 548 00:29:00,920 --> 00:29:04,000 Speaker 6: the heist at the Louver. Two more people were arrested 549 00:29:04,000 --> 00:29:07,200 Speaker 6: this weekend. Still no sign of any of the missing 550 00:29:07,360 --> 00:29:08,240 Speaker 6: royal jewels. 551 00:29:08,480 --> 00:29:10,920 Speaker 4: That was a had back of an interesting bit of 552 00:29:10,920 --> 00:29:13,280 Speaker 4: bit information we got over the weekend, and France can't 553 00:29:13,280 --> 00:29:15,960 Speaker 4: be happy to have that out there. It wasn't some 554 00:29:16,040 --> 00:29:21,600 Speaker 4: sort of oceans eleven, super brilliant, highly orchestrated. Now it's 555 00:29:21,640 --> 00:29:26,120 Speaker 4: just like a local, regular, run of the mill criminals 556 00:29:26,400 --> 00:29:29,000 Speaker 4: that were able to pull that off. Yeah, you know, 557 00:29:29,080 --> 00:29:31,360 Speaker 4: I had no I'd forgotten. A friend of mine was 558 00:29:31,360 --> 00:29:33,400 Speaker 4: in France and he went to the louver and saw 559 00:29:33,400 --> 00:29:36,280 Speaker 4: those jewels three days before they got stolen, and we 560 00:29:36,280 --> 00:29:38,720 Speaker 4: were chatting yesterday. He said, oh yeah, he just broken 561 00:29:38,760 --> 00:29:40,160 Speaker 4: the glass and grabbed them. 562 00:29:40,360 --> 00:29:43,640 Speaker 2: The security was a joke interesting, which. 563 00:29:43,480 --> 00:29:46,720 Speaker 1: I thought was interesting. Indeed, so we don't have enough 564 00:29:46,760 --> 00:29:49,560 Speaker 1: time to go through this completely. We're going to feature 565 00:29:49,680 --> 00:29:53,040 Speaker 1: the discussion of cloning the Anderthals on the Armstrong You 566 00:29:53,080 --> 00:29:55,360 Speaker 1: Getting One More Thing podcast, which we will record a 567 00:29:55,400 --> 00:29:59,680 Speaker 1: little later today. It never airs on the radio, it's 568 00:29:59,840 --> 00:30:03,680 Speaker 1: just to podcast, and sometimes there are swear you can cuss. 569 00:30:03,960 --> 00:30:10,040 Speaker 1: But here's the thing. Signists first sequence the Neanderthal genome 570 00:30:10,080 --> 00:30:13,000 Speaker 1: in twenty ten, and they absolutely proved that Neanderthals interbred 571 00:30:13,000 --> 00:30:17,040 Speaker 1: with human ancestors before mysteriously going extinct, something that had 572 00:30:17,080 --> 00:30:19,880 Speaker 1: long been't believe, but they could prove it. And indeed, 573 00:30:19,920 --> 00:30:22,520 Speaker 1: when I did I joke at he did my twenty 574 00:30:22,520 --> 00:30:25,440 Speaker 1: three and me thing several years ago, I found I 575 00:30:25,600 --> 00:30:29,200 Speaker 1: was at the time in the ninety ninth percentile of 576 00:30:29,640 --> 00:30:34,880 Speaker 1: the most Neanderthal genes. Because human beings carry up to 577 00:30:34,920 --> 00:30:38,920 Speaker 1: four percent of their genetic material is from the Neanderthal genome, 578 00:30:39,000 --> 00:30:40,239 Speaker 1: I guess. 579 00:30:40,680 --> 00:30:43,680 Speaker 4: Neanderthals were actually smarter than Homo sapiens. 580 00:30:43,880 --> 00:30:44,880 Speaker 2: That's what a lot of people think. 581 00:30:44,960 --> 00:30:46,680 Speaker 1: Yeah, do you want to give us the very brief 582 00:30:46,720 --> 00:30:50,440 Speaker 1: view of how we came to believe that Neanderthals were 583 00:30:50,680 --> 00:30:53,120 Speaker 1: thick headed morons? 584 00:30:54,200 --> 00:30:54,480 Speaker 2: Yeah. 585 00:30:54,640 --> 00:30:59,800 Speaker 4: I was like one scientist in the eighteen hundreds who 586 00:31:00,280 --> 00:31:07,280 Speaker 4: was a racist and attributed because they thought the skull 587 00:31:07,320 --> 00:31:09,520 Speaker 4: of a Neanderthal looked like the skull of black people, 588 00:31:09,520 --> 00:31:11,480 Speaker 4: and he thought black people were stupid. Because it was 589 00:31:11,520 --> 00:31:14,760 Speaker 4: actually a racist, he decided Neanderthals must have been stupid. 590 00:31:15,040 --> 00:31:18,360 Speaker 4: Had nothing better than that to go on. Neanderthals had 591 00:31:18,440 --> 00:31:20,880 Speaker 4: much bigger brands and almost certainly had more brain power. 592 00:31:21,240 --> 00:31:26,960 Speaker 4: The fact that they couldn't taken enough food to power 593 00:31:27,000 --> 00:31:28,520 Speaker 4: their brain is one of the reasons they might have 594 00:31:28,560 --> 00:31:29,280 Speaker 4: gone away. 595 00:31:29,720 --> 00:31:32,360 Speaker 1: Right, So anyway, this is of special interest to me, 596 00:31:32,440 --> 00:31:35,560 Speaker 1: being ninety nine percent Neanderthal, as everybody on the show 597 00:31:35,680 --> 00:31:38,040 Speaker 1: started to say, which again is a misstatement of the 598 00:31:38,080 --> 00:31:41,240 Speaker 1: genetic truth. But I have a very large head, I 599 00:31:41,280 --> 00:31:45,240 Speaker 1: have a broad nose, and I definitely have Neanderthal genes 600 00:31:45,280 --> 00:31:49,320 Speaker 1: in me. Anyway, So you got this company. You remember 601 00:31:49,480 --> 00:31:53,720 Speaker 1: the company that did that claimed to have cloned a 602 00:31:53,840 --> 00:31:58,840 Speaker 1: dire wolf. Yes, and the wooly They made a wooly 603 00:31:59,040 --> 00:32:01,320 Speaker 1: mouse to prove that they could make a wooly mammoth. 604 00:32:01,360 --> 00:32:04,760 Speaker 1: And how that hairy elephants, all right, exactly, And that's 605 00:32:04,840 --> 00:32:07,800 Speaker 1: exactly what they did. They just made slightly hairier elephants 606 00:32:08,120 --> 00:32:12,480 Speaker 1: and an unusually large wolf and announced quite dishonestly that 607 00:32:12,480 --> 00:32:15,560 Speaker 1: they had claimed the or cloned rather a dire wolf. Anyway, 608 00:32:16,440 --> 00:32:19,600 Speaker 1: this company is talking making noises about cloning Neanderthals. 609 00:32:19,720 --> 00:32:22,320 Speaker 4: It's not much difference than the Chinese shaven dogs and 610 00:32:22,400 --> 00:32:25,680 Speaker 4: call them lions. Yeah, it's well, it's a little more 611 00:32:25,720 --> 00:32:29,320 Speaker 4: technically advanced than that, but not very But the guy 612 00:32:29,360 --> 00:32:33,840 Speaker 4: who started this company, Colossal Biosciences church by name, he's 613 00:32:33,880 --> 00:32:39,320 Speaker 4: a Harvard scientist, was confident a decade ago that Neanderthal 614 00:32:39,360 --> 00:32:45,240 Speaker 4: resurrection was a near term possibility. Other scientists are saying, 615 00:32:45,480 --> 00:32:47,360 Speaker 4: you're out of your blank in mind. And this guy 616 00:32:47,400 --> 00:32:50,840 Speaker 4: an anthropologists biological anthropologists at the University of Kansas, said 617 00:32:51,040 --> 00:32:53,360 Speaker 4: Jennifer Raff. I'm sorry that sounds like a lady, not 618 00:32:53,400 --> 00:32:53,840 Speaker 4: a dude. 619 00:32:53,960 --> 00:32:54,360 Speaker 2: Quote. 620 00:32:54,560 --> 00:32:56,520 Speaker 1: That is one of the most unethical things I can 621 00:32:56,720 --> 00:33:02,480 Speaker 1: possibly think of to attempt full stop. One thing you 622 00:33:02,480 --> 00:33:07,680 Speaker 1: would need is and I like this sentence, Oh where 623 00:33:07,800 --> 00:33:13,200 Speaker 1: is it? The one thing you would need is an 624 00:33:13,920 --> 00:33:18,640 Speaker 1: a quote, extremely adventurous female human to serve as a surrogate. 625 00:33:18,880 --> 00:33:22,760 Speaker 4: Yeah, nokidding, adventurous is a good word. 626 00:33:23,520 --> 00:33:26,320 Speaker 1: And here here's the part that I found really really 627 00:33:26,320 --> 00:33:29,600 Speaker 1: interesting to get beyond the the you know, speculative. The 628 00:33:29,680 --> 00:33:33,760 Speaker 1: Chinese are probably working on this anyway stuff. Although humans 629 00:33:33,800 --> 00:33:37,280 Speaker 1: and Neanderthals did successfully inbreed in the past witness me 630 00:33:37,440 --> 00:33:42,480 Speaker 1: their Sun the Great, Great, Great, Great Times Power fifty grandson, 631 00:33:43,720 --> 00:33:47,160 Speaker 1: today there's at most four percent Neanderthal DNA in some 632 00:33:47,360 --> 00:33:51,720 Speaker 1: human groups, and geneticists say the other day DNA might 633 00:33:51,760 --> 00:33:53,960 Speaker 1: not have been beneficial in it, so it was slowly 634 00:33:54,000 --> 00:33:55,200 Speaker 1: purged out of the genome. 635 00:33:55,600 --> 00:33:56,960 Speaker 2: But here's the really interesting part. 636 00:33:57,400 --> 00:34:03,360 Speaker 1: Experts have discovered that humans why chromosome hello fellas lack 637 00:34:03,560 --> 00:34:09,400 Speaker 1: neanderthal DNA. There's none in it, which may point to 638 00:34:09,440 --> 00:34:15,239 Speaker 1: a fundamental immune system incompatibility between male neanderthal fetuses and 639 00:34:15,360 --> 00:34:20,719 Speaker 1: female Homo sapiens carrying them even in the hazy past. 640 00:34:21,480 --> 00:34:26,680 Speaker 1: So you do the math. You got u Homo sapiens 641 00:34:26,760 --> 00:34:32,240 Speaker 1: females getting with a hot, hot, big headed Neanderthal dude 642 00:34:32,320 --> 00:34:36,319 Speaker 1: like myself, and once you go Neanderthal, you never going 643 00:34:36,440 --> 00:34:37,040 Speaker 1: back at all. 644 00:34:38,200 --> 00:34:42,280 Speaker 2: That's what we say. Anyway, God, they. 645 00:34:42,239 --> 00:34:47,239 Speaker 1: Couldn't successfully carry a male fetus. 646 00:34:47,960 --> 00:34:49,120 Speaker 2: You do the math on that. 647 00:34:51,239 --> 00:34:55,120 Speaker 1: If you've got you know, inter breeding, but you never 648 00:34:55,160 --> 00:34:58,600 Speaker 1: reproduce males in the inner breeding, then you know, again, 649 00:34:58,719 --> 00:35:02,360 Speaker 1: do the math. And a genetic variant in red blood 650 00:35:02,400 --> 00:35:05,960 Speaker 1: cells in Neanderthal human hybrid mothers might have resulted in 651 00:35:06,040 --> 00:35:08,760 Speaker 1: high rates of miscarriage according to other research. 652 00:35:10,520 --> 00:35:13,600 Speaker 4: Yeah, there's something about the way our brains worked as 653 00:35:13,880 --> 00:35:17,560 Speaker 4: Homo sapiens versus Neanderthals that is really interesting. If you 654 00:35:17,600 --> 00:35:19,680 Speaker 4: haven't read the book or listened to the book Sapiens, 655 00:35:19,680 --> 00:35:22,560 Speaker 4: it's so fascinating all of this stuff. 656 00:35:22,840 --> 00:35:25,640 Speaker 2: Oh, so much of it is new too. There's so much. 657 00:35:25,440 --> 00:35:27,880 Speaker 4: More known now than moon when we were in school 658 00:35:28,080 --> 00:35:30,360 Speaker 4: about all of this, Like, nobody even thought Homo sapiens 659 00:35:30,360 --> 00:35:33,879 Speaker 4: Andanderthals were on the planet at the same time, right, 660 00:35:34,080 --> 00:35:35,879 Speaker 4: not that many years ago. And now we know there's 661 00:35:35,960 --> 00:35:38,960 Speaker 4: like six different human species that were on the planet 662 00:35:39,040 --> 00:35:40,120 Speaker 4: living at the same time. 663 00:35:40,600 --> 00:35:43,320 Speaker 1: Right, I really need to apologize to you good people. 664 00:35:43,440 --> 00:35:46,759 Speaker 1: I'm so interested in the science of ancient humans that 665 00:35:46,840 --> 00:35:50,960 Speaker 1: i didn't leave time for the peeing judge. So we'll 666 00:35:50,960 --> 00:35:54,320 Speaker 1: have to get to that vital story next hour. 667 00:35:55,320 --> 00:35:58,360 Speaker 2: Vital all right, if i'd buy. 668 00:35:58,160 --> 00:36:04,200 Speaker 4: That right there to strip mall, Momdani just made a pledge. 669 00:36:04,239 --> 00:36:05,680 Speaker 4: We'll have to get to that now or for if 670 00:36:05,719 --> 00:36:07,480 Speaker 4: you miss the segment or now, or get the podcast 671 00:36:07,600 --> 00:36:12,040 Speaker 4: Armstrong and Getty on demand Armstrong and Getty