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 --> 00:00:11,280 Speaker 1: Washington Broadcast Center. Jack Armstrong, Joe Getty, Armstrong. 3 00:00:10,760 --> 00:00:12,640 Speaker 2: And Getty and Hee. 4 00:00:15,360 --> 00:00:18,959 Speaker 3: Armstrong and Getty Strong twenty twenty five. 5 00:00:19,000 --> 00:00:23,000 Speaker 2: What a year? Huh? That was something. We're not here 6 00:00:23,079 --> 00:00:23,439 Speaker 2: right now. 7 00:00:23,440 --> 00:00:25,480 Speaker 3: We're playing you the best of what we call like 8 00:00:25,480 --> 00:00:27,200 Speaker 3: to call Armstrong and Geddy replace. 9 00:00:27,440 --> 00:00:30,000 Speaker 4: Yeah, and the staff is still shell shocked. They're still 10 00:00:30,040 --> 00:00:32,360 Speaker 4: crying quietly in the corner. It takes so much work 11 00:00:32,400 --> 00:00:34,479 Speaker 4: to get this together and present it to you in 12 00:00:34,640 --> 00:00:36,360 Speaker 4: as entertaining a form as it is. 13 00:00:36,440 --> 00:00:38,560 Speaker 2: It's the Armstrong and Getty replay right now. 14 00:00:38,560 --> 00:00:40,599 Speaker 3: It's a campus chaos update. 15 00:00:40,720 --> 00:00:50,000 Speaker 2: Oh lord, the camp it's poor one. What happened to her? 16 00:00:50,240 --> 00:00:52,839 Speaker 2: Oh so story number one? Listen to this? Would you? 17 00:00:53,120 --> 00:00:55,200 Speaker 3: If there's some sort of a word for this, I 18 00:00:55,320 --> 00:01:02,279 Speaker 3: think it may win it. Princeton University, far from reforming itself, 19 00:01:02,960 --> 00:01:07,960 Speaker 3: is launching a new anthropology class on gender reproduction and 20 00:01:08,080 --> 00:01:13,960 Speaker 3: genocide in Gaza, a class whose description puts the Israeli 21 00:01:13,959 --> 00:01:16,240 Speaker 3: Hamas war on par with Holocaust. 22 00:01:16,640 --> 00:01:19,280 Speaker 4: The four credit graded course being taught by a noted 23 00:01:19,319 --> 00:01:22,959 Speaker 4: Palestinian feminist who has made provably false claims that Hamas 24 00:01:22,959 --> 00:01:25,800 Speaker 4: did not kill any babies or rape women on October seventh, 25 00:01:25,840 --> 00:01:28,120 Speaker 4: Oh my god, and also calls for an end to. 26 00:01:28,120 --> 00:01:28,840 Speaker 2: The Jewish state. 27 00:01:29,520 --> 00:01:33,600 Speaker 3: Wow again, this course being taught at Princeton, which has 28 00:01:33,680 --> 00:01:37,280 Speaker 3: learned nothing and has no shame? Is gender reproduction and 29 00:01:37,360 --> 00:01:40,160 Speaker 3: genocide in Gaza isn't here as a description? I think 30 00:01:40,200 --> 00:01:42,480 Speaker 3: Princeton is one of the colleges that really gets a 31 00:01:42,520 --> 00:01:43,479 Speaker 3: lot of money from Qatar. 32 00:01:44,480 --> 00:01:47,120 Speaker 2: Uh yeah, yeah, absolutely yeah. 33 00:01:47,240 --> 00:01:50,720 Speaker 4: Drawing on decolognia, see if listen, we gotta have a 34 00:01:50,760 --> 00:01:52,960 Speaker 4: game here, a drinking game or so, I don't know something. 35 00:01:53,040 --> 00:01:57,800 Speaker 4: Count how many bulls critical theory terms are in this 36 00:01:57,880 --> 00:02:02,760 Speaker 4: course description? Drawing on decolonial, indigenous and feminist thought, we 37 00:02:02,880 --> 00:02:07,840 Speaker 4: examine how genocidal projects target reproductive life, sexual and familial structures, 38 00:02:07,960 --> 00:02:13,680 Speaker 4: and community survival. Students will engage reproductive justice frameworks, survivor testimony, 39 00:02:13,720 --> 00:02:18,280 Speaker 4: and Palestinian feminist critiques of colonial violence while situating Gaza 40 00:02:18,360 --> 00:02:22,000 Speaker 4: within comparative histories of the Armenian genocide, the Holocaust in 41 00:02:22,040 --> 00:02:24,880 Speaker 4: genocide against black and indigenous populations. 42 00:02:25,280 --> 00:02:28,400 Speaker 3: Wow, somebody's paying a lot of money to have their 43 00:02:28,440 --> 00:02:29,520 Speaker 3: kid take that class. 44 00:02:30,639 --> 00:02:33,520 Speaker 4: Undergrads who take the class can get credit toward an 45 00:02:33,560 --> 00:02:37,040 Speaker 4: anthropology major or toward a minor in Gender and Sexuality 46 00:02:37,080 --> 00:02:39,480 Speaker 4: studies anthropology major. 47 00:02:39,560 --> 00:02:42,280 Speaker 3: That's what my son's really interested in, that sort of stuff. 48 00:02:42,280 --> 00:02:43,960 Speaker 3: And I was wondering, is there a university you can 49 00:02:44,000 --> 00:02:46,240 Speaker 3: go to where it just isn't all that quart kind 50 00:02:46,240 --> 00:02:46,680 Speaker 3: of crap? 51 00:02:47,360 --> 00:02:50,040 Speaker 4: Right, here's another fun game you might play. I'm going 52 00:02:50,120 --> 00:02:54,240 Speaker 4: to quote the woman who teaches this, who claimed that 53 00:02:54,280 --> 00:02:57,120 Speaker 4: there were no rapes or killing of children on October seventh, 54 00:02:59,120 --> 00:03:04,399 Speaker 4: interject to or substitute any word in place of Zionism. 55 00:03:04,480 --> 00:03:11,560 Speaker 4: You want Islam, black people, anything, and see if anybody 56 00:03:11,600 --> 00:03:14,440 Speaker 4: in America could get away with saying this what she said, 57 00:03:14,960 --> 00:03:18,360 Speaker 4: It's time to abolish Zionism. It can't continue. It's criminal. 58 00:03:18,440 --> 00:03:21,440 Speaker 4: Only by abolishing Zionism can we continue. They will use 59 00:03:21,480 --> 00:03:24,640 Speaker 4: any lie. They started with babies, they continued with rape, 60 00:03:24,680 --> 00:03:26,920 Speaker 4: and they will continue with a million other lies. We 61 00:03:27,000 --> 00:03:31,280 Speaker 4: stop believing them. I hope the world stops believing them. 62 00:03:31,520 --> 00:03:32,639 Speaker 2: And it's unbelievable. 63 00:03:33,120 --> 00:03:37,760 Speaker 4: So moving along, and again, as you said, Jack, Dewey 64 00:03:37,840 --> 00:03:43,400 Speaker 4: eyed fools will take this course and believe it, and 65 00:03:43,440 --> 00:03:45,400 Speaker 4: they might just be having that hey a lot for it. 66 00:03:45,520 --> 00:03:49,920 Speaker 3: They might only have that clash to keep the millions 67 00:03:50,280 --> 00:03:52,880 Speaker 3: flowing in from Qatar and other places like that. 68 00:03:53,520 --> 00:03:55,920 Speaker 2: Yeah, OK, I gotta go a little more. Then we'll 69 00:03:55,960 --> 00:03:56,200 Speaker 2: move on. 70 00:03:56,240 --> 00:03:59,800 Speaker 4: But among the required readings is an essay titled reproci 71 00:04:00,200 --> 00:04:04,280 Speaker 4: in Gaza. That's a new one, repro side in Gaza, 72 00:04:04,720 --> 00:04:09,480 Speaker 4: the gendered strategy of Genocide through Reproductive violence by Halla Showman, 73 00:04:09,560 --> 00:04:13,640 Speaker 4: a former Gazen dentist and self described social activist. Reprosides, 74 00:04:13,720 --> 00:04:16,200 Speaker 4: she writes, quote, is the systematic targeting of a group's 75 00:04:16,240 --> 00:04:20,440 Speaker 4: reproductive capacities as a deliberate strategy of erasure. Israel has 76 00:04:20,480 --> 00:04:25,120 Speaker 4: weaponized reproductive health through direct military targeting, siege conditions, force displacement, 77 00:04:25,200 --> 00:04:32,280 Speaker 4: environmental toxis, said toxicity, and gendered violence, thereby creating conditions 78 00:04:32,279 --> 00:04:35,920 Speaker 4: in Gaza that make pregnancy dangerously high risk. Therefore the 79 00:04:35,960 --> 00:04:41,160 Speaker 4: title of the class gender reproduction and Genocide in Gaza. 80 00:04:41,880 --> 00:04:44,839 Speaker 4: Moving along, this is a really good essay. I wish 81 00:04:44,880 --> 00:04:47,000 Speaker 4: we had time for the whole thing from that jeff 82 00:04:47,080 --> 00:04:51,240 Speaker 4: yass who donated one hundred million dollars to the University 83 00:04:51,240 --> 00:04:54,760 Speaker 4: of Austin, and he explains why. If you're not familiar 84 00:04:54,839 --> 00:04:57,200 Speaker 4: with the University of Austin, and it is a wonderful 85 00:04:57,680 --> 00:05:00,240 Speaker 4: back to what a university ought to be project with 86 00:05:00,279 --> 00:05:02,920 Speaker 4: a lot of our favorite people involved. Anyway, he says, 87 00:05:02,920 --> 00:05:04,880 Speaker 4: I'm given one hundred million dollars through the University of 88 00:05:04,920 --> 00:05:09,000 Speaker 4: Austin because the feedback feedback mechanisms of higher education are broken. 89 00:05:09,640 --> 00:05:14,080 Speaker 4: Almost every system that works works because of feedback. Evolution 90 00:05:14,200 --> 00:05:18,040 Speaker 4: works because helpful mutation survival, harmful ones die off. Democracy 91 00:05:18,080 --> 00:05:21,080 Speaker 4: works because voter support effective leaders and remove ineffective ones. 92 00:05:21,080 --> 00:05:24,680 Speaker 4: Then he talks about markets and science works how it works. 93 00:05:25,040 --> 00:05:27,880 Speaker 4: Most systems or institutions that don't work at broken feedback 94 00:05:27,920 --> 00:05:33,120 Speaker 4: mechanisms corrupt politicians, corony capitalists, ideological echo chambers. Unfortunately, higher 95 00:05:33,240 --> 00:05:36,400 Speaker 4: education belongs in this category. The purpose of higher education 96 00:05:36,440 --> 00:05:40,599 Speaker 4: should be to instill in students knowledge, skills, judgment, and 97 00:05:40,680 --> 00:05:43,680 Speaker 4: characters so they can flourish and contribute to society. By 98 00:05:43,720 --> 00:05:46,839 Speaker 4: that standard, success should be measured by how graduates are doing, 99 00:05:47,440 --> 00:05:51,960 Speaker 4: and that's not happening anymore. He wants the success of 100 00:05:52,120 --> 00:05:56,320 Speaker 4: education to be measured in terms of success. 101 00:05:56,480 --> 00:05:57,039 Speaker 2: Imagine that. 102 00:05:59,160 --> 00:06:03,000 Speaker 4: Success in the person's chosen field, in their knowledge. 103 00:06:03,839 --> 00:06:07,080 Speaker 2: Did they get anything out of this is. 104 00:06:07,000 --> 00:06:10,680 Speaker 4: The question he wants asked, when you say it out loud, 105 00:06:10,760 --> 00:06:12,800 Speaker 4: it almost sounds like you're trying to explain it to 106 00:06:12,839 --> 00:06:15,520 Speaker 4: a not very bright child or something like that, because 107 00:06:15,560 --> 00:06:18,839 Speaker 4: it's so freaking obvious. But we've lost it completely. You 108 00:06:19,000 --> 00:06:22,279 Speaker 4: go University of Austin and Jeff, thank you for doing 109 00:06:22,320 --> 00:06:22,800 Speaker 4: the right things. 110 00:06:22,839 --> 00:06:23,920 Speaker 2: Absolutely fantastic. 111 00:06:24,520 --> 00:06:28,760 Speaker 3: Speaking of Texas, Texas Tech is pissing off the woke crowd. 112 00:06:28,800 --> 00:06:29,960 Speaker 2: I found this interesting. 113 00:06:31,600 --> 00:06:35,160 Speaker 4: On December one, the new chancellor of Texas Tech sent 114 00:06:35,240 --> 00:06:38,120 Speaker 4: professors a diagram laying out a chain of approval for 115 00:06:38,240 --> 00:06:41,400 Speaker 4: course material. It accompanied a memo with rules for teaching 116 00:06:41,440 --> 00:06:44,919 Speaker 4: about race and gender, including a ban on quote advocacy 117 00:06:45,000 --> 00:06:48,960 Speaker 4: or promotion of race or sex based prejudice. The chart 118 00:06:49,000 --> 00:06:51,839 Speaker 4: asked professors to first ask if the course material quote 119 00:06:51,880 --> 00:06:55,880 Speaker 4: is relevant and necessary for classroom instruction, then details a 120 00:06:55,960 --> 00:06:58,640 Speaker 4: review process that starts with the department chair and can 121 00:06:58,680 --> 00:07:00,360 Speaker 4: go all the way up to the Board of re Agents, 122 00:07:00,400 --> 00:07:02,800 Speaker 4: the system's governing board. The chart is part of a 123 00:07:02,839 --> 00:07:05,840 Speaker 4: wider national campaign by conservatives to reverse years. 124 00:07:05,640 --> 00:07:09,920 Speaker 3: Of what they see. What they see what anybody could see. 125 00:07:10,040 --> 00:07:14,040 Speaker 4: As left leaning faculty in indoctrination across higher education. 126 00:07:14,240 --> 00:07:17,040 Speaker 2: M Do they see that, uh? 127 00:07:17,160 --> 00:07:20,960 Speaker 4: Yeah, that's what they see, in the same way that 128 00:07:21,720 --> 00:07:25,120 Speaker 4: people going to the circus said they see an elephant. 129 00:07:25,600 --> 00:07:30,440 Speaker 3: Yeah, because there's an effing elephant there. Sorry anyway, es Geese. 130 00:07:31,280 --> 00:07:35,480 Speaker 4: The Free Press was writing about how a systematic analysis 131 00:07:35,480 --> 00:07:39,320 Speaker 4: of various classes that purported to have both sides of 132 00:07:39,440 --> 00:07:43,280 Speaker 4: arguments would have the big book representing the Marcus point 133 00:07:43,280 --> 00:07:45,800 Speaker 4: of view, and then like everybody in the field knows 134 00:07:45,840 --> 00:07:48,440 Speaker 4: what the counter book is, the respected or there might 135 00:07:48,480 --> 00:07:50,600 Speaker 4: be several of them, and they just don't teach it. 136 00:07:50,760 --> 00:07:52,280 Speaker 2: You don't read it, you don't have to. 137 00:07:52,440 --> 00:07:55,640 Speaker 4: It's just utterly biased, and Texas Tech, to their credit, 138 00:07:55,760 --> 00:07:59,160 Speaker 4: is going to finally do something about it. Final note, Jack, 139 00:07:59,200 --> 00:08:01,320 Speaker 4: you mentioned the katar. I would like to mention the 140 00:08:01,520 --> 00:08:05,960 Speaker 4: kami Chinese. Here's an adline for you. University of Michigan's 141 00:08:05,960 --> 00:08:10,520 Speaker 4: partnership with the CCP link Changhai School brought Chinese spies 142 00:08:10,560 --> 00:08:14,920 Speaker 4: to campus, and dozens of US universities have similar arrangements. 143 00:08:15,440 --> 00:08:19,360 Speaker 4: Elite schools like Columbian Yale maintained joint institute's dual degrees 144 00:08:19,440 --> 00:08:25,640 Speaker 4: and exchange programs with Shanghai Xiaotong University since October twenty fourth. 145 00:08:25,840 --> 00:08:28,680 Speaker 4: Department of Justice has charged at least twelve University of 146 00:08:28,720 --> 00:08:31,120 Speaker 4: Michigan students, researchers, and recent grads. 147 00:08:31,600 --> 00:08:34,360 Speaker 2: That's just the University of Michigan, folks. 148 00:08:34,760 --> 00:08:40,679 Speaker 4: At least twelve all Chinese nationals with national security related offenses, 149 00:08:40,920 --> 00:08:46,280 Speaker 4: a scale far out pacing any other US school. Five 150 00:08:46,320 --> 00:08:49,800 Speaker 4: of them were accused of taking photographs of military drills 151 00:08:50,280 --> 00:08:54,040 Speaker 4: at a military camp. They all belong to an engineering 152 00:08:54,040 --> 00:08:59,520 Speaker 4: partnership between Michigan and Shanghai Xiaotong, which House Select Committee 153 00:08:59,559 --> 00:08:59,880 Speaker 4: on China. 154 00:09:00,040 --> 00:09:00,280 Speaker 2: Rep. 155 00:09:00,720 --> 00:09:05,040 Speaker 4: Jason Molinar Michigan said, quote was helping the CCP modernize 156 00:09:05,080 --> 00:09:09,320 Speaker 4: its military and allegedly sits on the People's Liberation Army 157 00:09:09,360 --> 00:09:13,120 Speaker 4: base in Uh what's the town? Did I say? It's 158 00:09:13,160 --> 00:09:17,760 Speaker 4: in Shanghai. Michigan, under pressure from Molinar, went on to 159 00:09:17,880 --> 00:09:20,640 Speaker 4: end it's twenty year partnership, but other top units universities 160 00:09:20,720 --> 00:09:25,360 Speaker 4: maintained ties to the Chinese schools. Between the Katari's pumping 161 00:09:25,760 --> 00:09:30,520 Speaker 4: money in so schools teach up with the Muslim Brotherhood 162 00:09:30,559 --> 00:09:34,559 Speaker 4: and down with the jew and the communist Chinese sending 163 00:09:34,640 --> 00:09:37,920 Speaker 4: their spies to America masquerading as scholars. It is some 164 00:09:38,080 --> 00:09:42,920 Speaker 4: serious rot. It's campus chaos. 165 00:09:45,000 --> 00:09:45,600 Speaker 2: Thank you for that. 166 00:09:45,960 --> 00:09:47,760 Speaker 3: Okay, we got to tell you about Omaha stakes. But 167 00:09:47,800 --> 00:09:50,040 Speaker 3: as soon as we're done, I got a question, Katie. 168 00:09:50,040 --> 00:09:52,720 Speaker 3: You can weigh on this about my neighbors bringing me 169 00:09:52,760 --> 00:09:54,839 Speaker 3: cookies and whether or not I got to bring them something. Now, 170 00:09:56,320 --> 00:09:58,920 Speaker 3: maybe I bring the Omaha steaks. I got quite a few. 171 00:09:59,640 --> 00:10:00,880 Speaker 3: Here's a steak. 172 00:10:01,120 --> 00:10:02,600 Speaker 2: Class Ribby down on the counter. 173 00:10:03,120 --> 00:10:05,760 Speaker 3: I had them a frozen steak in the plastic from Amsteakes, 174 00:10:06,200 --> 00:10:07,600 Speaker 3: and I'll just say, you need to put this back 175 00:10:07,640 --> 00:10:10,599 Speaker 3: in the freezer or let it though your choice. 176 00:10:10,800 --> 00:10:12,080 Speaker 2: I'm sixty years old. 177 00:10:12,120 --> 00:10:14,559 Speaker 3: I should probably give up the idea that I'm ever 178 00:10:14,640 --> 00:10:16,800 Speaker 3: going to send out Christmas cards, because I never have, 179 00:10:17,040 --> 00:10:19,240 Speaker 3: and every year when I start getting them from other people, 180 00:10:19,480 --> 00:10:21,600 Speaker 3: I feel guilty and think next year I will. But 181 00:10:21,679 --> 00:10:25,360 Speaker 3: at some point I should just decide clearly I'm never 182 00:10:25,360 --> 00:10:28,360 Speaker 3: going to send Christmas cards anybody, and so I don't 183 00:10:28,800 --> 00:10:31,080 Speaker 3: take on the guilt. But this one is slightly different. 184 00:10:31,160 --> 00:10:32,600 Speaker 3: Is my neighbors. I live in a cul de sac 185 00:10:32,760 --> 00:10:35,240 Speaker 3: and two of the main houses that like face me 186 00:10:35,280 --> 00:10:38,679 Speaker 3: are next to me. One family brought over some nice 187 00:10:38,920 --> 00:10:41,360 Speaker 3: what are your Christmasy flowers? The red ones all those 188 00:10:41,400 --> 00:10:42,800 Speaker 3: points sets, Yeah. 189 00:10:42,640 --> 00:10:44,719 Speaker 2: Yeah, yeah, exactly yeah, I. 190 00:10:44,640 --> 00:10:46,559 Speaker 3: Don't throw in that extra syllable. Am I supposed to 191 00:10:46,559 --> 00:10:47,440 Speaker 3: throw in the extra syllable? 192 00:10:47,400 --> 00:10:50,000 Speaker 2: We set? Yah? I just I can't do that. It's 193 00:10:50,000 --> 00:10:50,559 Speaker 2: too much for me. 194 00:10:51,640 --> 00:10:53,439 Speaker 3: But they brought over points set as in a card, 195 00:10:53,480 --> 00:10:55,400 Speaker 3: and then our other neighbors. They're cute little kids, the 196 00:10:55,400 --> 00:10:57,440 Speaker 3: perfect family that I talk about on a regular basis. 197 00:10:57,440 --> 00:10:59,920 Speaker 3: They're like the perfect family, and uh, and I feel 198 00:10:59,920 --> 00:11:01,560 Speaker 3: like they're being perfect just to make me feel bad 199 00:11:01,600 --> 00:11:05,880 Speaker 3: about myself, which is normal. Uh, they brought over cookies. 200 00:11:05,920 --> 00:11:09,440 Speaker 3: They're cute little kids, and uh, mom, they brought over cookies. 201 00:11:09,520 --> 00:11:13,080 Speaker 3: So where am I on the obligation list to bring 202 00:11:13,120 --> 00:11:19,640 Speaker 3: them something I would? I think I'm going nice. I 203 00:11:19,640 --> 00:11:22,679 Speaker 3: think I'm going to I'm gonna go with cookies. 204 00:11:23,280 --> 00:11:26,160 Speaker 2: But then were they Did they bake the cookies for you? 205 00:11:26,360 --> 00:11:29,480 Speaker 3: Yeah, well they baked cookies. I don't know that they baked. 206 00:11:29,240 --> 00:11:29,880 Speaker 2: Them for me. 207 00:11:29,960 --> 00:11:34,400 Speaker 3: They code, yeah, homemade cookies. Okay, So here's my other problem. 208 00:11:34,960 --> 00:11:36,960 Speaker 3: I actually said, you know, we're going to bring cookies 209 00:11:37,000 --> 00:11:38,440 Speaker 3: over to you. We end up eating them all, which 210 00:11:38,440 --> 00:11:41,360 Speaker 3: is true, and uh, I said we'll make some more. 211 00:11:41,360 --> 00:11:41,480 Speaker 2: Ow. 212 00:11:43,160 --> 00:11:46,720 Speaker 3: My son made them from scratch, absolutely from scratch. The 213 00:11:46,760 --> 00:11:50,720 Speaker 3: sugar cookies and the buttercream frosting. Looked up the recipe, 214 00:11:51,360 --> 00:11:54,640 Speaker 3: we bought the ingredients. He did every single thing. I 215 00:11:54,640 --> 00:11:58,719 Speaker 3: didn't do one thing. They're not very good, So I'm 216 00:11:58,760 --> 00:12:04,000 Speaker 3: going to figure out do I intervene? And I haven't 217 00:12:04,040 --> 00:12:06,920 Speaker 3: said that to him. These are delicious, They're good enough 218 00:12:06,960 --> 00:12:09,040 Speaker 3: to eat. I mean, my my bar for how good 219 00:12:09,080 --> 00:12:10,959 Speaker 3: a cookie, sugar cookie's got to be before I eat 220 00:12:11,000 --> 00:12:12,480 Speaker 3: it is you know right here. 221 00:12:12,760 --> 00:12:13,560 Speaker 2: I mean I've had. 222 00:12:13,440 --> 00:12:15,040 Speaker 3: Them where at the bar's way up you know, the 223 00:12:15,600 --> 00:12:18,199 Speaker 3: deliciousness is up here. I'm still gonna eat it down here, though, 224 00:12:18,240 --> 00:12:20,880 Speaker 3: I mean they were still north of Labrador retriever at 225 00:12:20,920 --> 00:12:23,880 Speaker 3: your bar. It's like the old sex joke. It's like 226 00:12:23,880 --> 00:12:26,240 Speaker 3: a sugar cookies and sex. You know, when it's bad, 227 00:12:26,280 --> 00:12:30,800 Speaker 3: it's pretty good. So do I have my son make 228 00:12:30,840 --> 00:12:34,839 Speaker 3: another batch of really not that very good cookies? If 229 00:12:34,840 --> 00:12:36,120 Speaker 3: I do, I'm going to make it clear that he 230 00:12:36,160 --> 00:12:37,040 Speaker 3: made them. 231 00:12:37,600 --> 00:12:39,959 Speaker 4: I would tell you this as the husband of an 232 00:12:40,000 --> 00:12:46,760 Speaker 4: avid Avid baker, knowing that didn't go quite right. 233 00:12:47,240 --> 00:12:48,960 Speaker 2: Figuring out why is part of bacon. 234 00:12:49,440 --> 00:12:52,680 Speaker 3: I'm yeah, I'm sure nobody that turns out great the 235 00:12:52,720 --> 00:12:55,880 Speaker 3: first time. Most people are giving you their great sugar cookies. 236 00:12:55,920 --> 00:12:58,760 Speaker 3: It's like the fiftieth time they've made them, right exactly. 237 00:12:58,760 --> 00:13:00,320 Speaker 4: I mean, it's not like you're going to go great 238 00:13:00,360 --> 00:13:03,280 Speaker 4: Santinians throws them at the boy and screamed that you're 239 00:13:03,280 --> 00:13:03,720 Speaker 4: no good. 240 00:13:03,760 --> 00:13:05,360 Speaker 2: It just fine. 241 00:13:05,400 --> 00:13:07,040 Speaker 3: But now that we're going to give him the neighbors, 242 00:13:07,080 --> 00:13:09,320 Speaker 3: I'm just feeling like I'm gonna give him these cookies 243 00:13:09,360 --> 00:13:10,559 Speaker 3: and they're gonna take a bite him and say, what 244 00:13:10,600 --> 00:13:11,199 Speaker 3: the hell is this. 245 00:13:12,240 --> 00:13:14,080 Speaker 5: I just pictured him holding out a plate and Jack 246 00:13:14,240 --> 00:13:15,480 Speaker 5: just smacking it into the air. 247 00:13:15,800 --> 00:13:19,320 Speaker 2: A crap. No, I just I don't know. 248 00:13:19,480 --> 00:13:21,760 Speaker 5: Yeah, he'll get better next time, and maybe maybe they'll 249 00:13:21,760 --> 00:13:22,840 Speaker 5: be good the second time around. 250 00:13:22,880 --> 00:13:24,560 Speaker 3: I don't know if he noticed that they weren't that 251 00:13:24,679 --> 00:13:27,960 Speaker 3: great though he hasn't said anything about it. He hasn't 252 00:13:27,960 --> 00:13:29,880 Speaker 3: said that he's a little dry or anything like that. 253 00:13:30,280 --> 00:13:32,480 Speaker 3: You still have your yeah, do you still have your 254 00:13:32,559 --> 00:13:35,640 Speaker 3: weird COVID thing? Well? Yeah, but the they were clearly 255 00:13:35,720 --> 00:13:38,080 Speaker 3: too dry. I mean, you know that's got to do 256 00:13:38,280 --> 00:13:40,080 Speaker 3: nothing to do with the ability and stay sweet. 257 00:13:40,240 --> 00:13:43,760 Speaker 2: Maybe make him a meat loaf or something something completely different. 258 00:13:44,520 --> 00:13:48,679 Speaker 2: There you go and them a meat loaf. Okay, yeah, 259 00:13:48,920 --> 00:13:51,960 Speaker 2: well you could plate it. I'm sure they'd return the plate. 260 00:13:52,600 --> 00:13:55,680 Speaker 1: The Armstrong and Getty Show. Yeah, more Jack or Joe 261 00:13:55,880 --> 00:13:57,600 Speaker 1: podcasts and our hot legs. 262 00:14:00,920 --> 00:14:02,839 Speaker 4: Here's your freedom loving quote of the day. It's a 263 00:14:02,880 --> 00:14:03,520 Speaker 4: little longish. 264 00:14:03,520 --> 00:14:05,000 Speaker 2: Maybe we'll get to mailbag next hour. 265 00:14:05,040 --> 00:14:05,400 Speaker 3: I don't know. 266 00:14:05,960 --> 00:14:07,400 Speaker 2: Uh, it's Joe. 267 00:14:07,360 --> 00:14:09,840 Speaker 4: Raffidi wrote this. He's an academic of some sort. But 268 00:14:09,880 --> 00:14:11,719 Speaker 4: I absolutely love this. And I can't remember if I've 269 00:14:11,720 --> 00:14:13,840 Speaker 4: read this before, but if I did, it's in the 270 00:14:13,840 --> 00:14:15,280 Speaker 4: wrong file and you're going to hear it again. 271 00:14:16,559 --> 00:14:21,960 Speaker 3: Socialists perform compassion, capitalists live it. That probably sounds insane 272 00:14:22,000 --> 00:14:23,720 Speaker 3: to people who've been in Doctor Nadan to believe that 273 00:14:23,800 --> 00:14:26,240 Speaker 3: caring means redistributing wealth by force. 274 00:14:26,560 --> 00:14:27,560 Speaker 2: But here's the reality. 275 00:14:27,600 --> 00:14:31,320 Speaker 3: Capitalism requires you to care about other people's needs. 276 00:14:31,640 --> 00:14:34,320 Speaker 4: It asks of you what problems can I solve? What 277 00:14:34,480 --> 00:14:37,880 Speaker 4: value can I create? What do people actually want and need? 278 00:14:38,160 --> 00:14:41,360 Speaker 4: Your success is directly tied to how well you serve others. 279 00:14:41,680 --> 00:14:44,120 Speaker 4: You can't force people to buy from you, you can't 280 00:14:44,160 --> 00:14:46,320 Speaker 4: coerce them into using your product or service. 281 00:14:48,080 --> 00:14:48,520 Speaker 2: Yeah. 282 00:14:48,760 --> 00:14:52,240 Speaker 3: I think the problem is socialism sort of promises there 283 00:14:52,280 --> 00:14:56,880 Speaker 3: won't be losers. Capitalism sort of guarantees there will be 284 00:14:56,920 --> 00:15:01,640 Speaker 3: winners and losers. Yeah, socialism is is a philosophy for 285 00:15:01,720 --> 00:15:06,520 Speaker 3: children and those who have yet to grow up and 286 00:15:07,000 --> 00:15:08,840 Speaker 3: recognize the way human beings really are. 287 00:15:08,920 --> 00:15:10,080 Speaker 2: Mail bag dumps. 288 00:15:09,800 --> 00:15:12,080 Speaker 3: Note mail bag at Armstrong and Giddy dot com. 289 00:15:12,280 --> 00:15:15,480 Speaker 4: Aaron Wright's colonialism is a good thing. 290 00:15:15,640 --> 00:15:16,080 Speaker 2: Look at this. 291 00:15:16,160 --> 00:15:19,320 Speaker 3: There are thousands of videos from various s whole countries 292 00:15:19,560 --> 00:15:23,320 Speaker 3: where young men are exhuming old graves for clicks and 293 00:15:23,400 --> 00:15:24,480 Speaker 3: Facebook reels. 294 00:15:24,960 --> 00:15:25,960 Speaker 2: This must stop. 295 00:15:26,280 --> 00:15:31,280 Speaker 3: Oh my internet viral ghoulishness adding up graves. I hadn't 296 00:15:31,320 --> 00:15:34,560 Speaker 3: heard this, messing with the bones whatever. 297 00:15:34,320 --> 00:15:36,520 Speaker 2: Oh my god, that's the worst thing I've ever heard. 298 00:15:37,680 --> 00:15:39,640 Speaker 2: Stay tuned. I got to look into that. 299 00:15:41,240 --> 00:15:47,080 Speaker 4: Let's see non binary WTF. Aldonymous writes A friend of 300 00:15:47,120 --> 00:15:49,120 Speaker 4: mine was purchasing a gun and filling out the federal 301 00:15:49,160 --> 00:15:52,480 Speaker 4: background CHECKIE noticed that for gender they had three options male, female, 302 00:15:52,520 --> 00:15:55,320 Speaker 4: and non binary. Hoping they're using this to weed out 303 00:15:55,320 --> 00:15:57,320 Speaker 4: anyone who checks non binary, because if you don't know 304 00:15:57,360 --> 00:15:59,120 Speaker 4: what your sex is, there's not a chance in hell 305 00:15:59,360 --> 00:16:00,760 Speaker 4: used to be allowed to buy a gun. 306 00:16:01,040 --> 00:16:03,320 Speaker 2: Tell Trump to fix this. I will next time I 307 00:16:03,400 --> 00:16:03,960 Speaker 2: talk to him. 308 00:16:05,440 --> 00:16:09,760 Speaker 3: Tell Trump to fix this. Well too, I saved this one. 309 00:16:09,800 --> 00:16:11,080 Speaker 3: I got this a couple of days ago to I 310 00:16:11,160 --> 00:16:11,640 Speaker 3: liked it JT. 311 00:16:11,760 --> 00:16:14,080 Speaker 4: And Livermore says, I'm not against the notion of a 312 00:16:14,120 --> 00:16:18,280 Speaker 4: P doom metric. That's the percentage you think AI will 313 00:16:18,280 --> 00:16:22,040 Speaker 4: doom humanity, he says, But I also want to pair 314 00:16:22,120 --> 00:16:25,600 Speaker 4: it with the P salvation number. Sure, a superintelligence would 315 00:16:25,600 --> 00:16:28,400 Speaker 4: be something new and unproven, could go pear shape for mankind. 316 00:16:28,840 --> 00:16:30,680 Speaker 4: But it isn't as if we're one hundred percent shape 317 00:16:30,960 --> 00:16:33,240 Speaker 4: shape safe if AGI is never built. Look at all 318 00:16:33,280 --> 00:16:35,120 Speaker 4: the great threats that might happen if we never built 319 00:16:35,160 --> 00:16:38,800 Speaker 4: the AGI nukes in all their forms, bioweapons, the super 320 00:16:38,880 --> 00:16:45,560 Speaker 4: volcano eruptions, economic collapse, climate apocalypse, smad Mark Zuckerberg, Democrat policies, sex, robots, 321 00:16:46,280 --> 00:16:48,760 Speaker 4: good list. Maybe having an AGI is the only way 322 00:16:48,800 --> 00:16:50,840 Speaker 4: to deal with some or all of the pending disasters. 323 00:16:51,040 --> 00:16:53,000 Speaker 4: So when you tell me your P DO number P 324 00:16:53,160 --> 00:16:56,080 Speaker 4: doom number, also tell me the percentage likelihood that an 325 00:16:56,080 --> 00:16:58,640 Speaker 4: AGI would be necessary to solve protect us from things 326 00:16:58,680 --> 00:17:01,080 Speaker 4: too complicated or too difficult for us to solve on 327 00:17:01,080 --> 00:17:02,600 Speaker 4: our own, aka your. 328 00:17:02,520 --> 00:17:03,880 Speaker 2: P salvation number. 329 00:17:05,680 --> 00:17:18,800 Speaker 3: Interesting, great thought, really interesting. It just came across an 330 00:17:18,880 --> 00:17:25,280 Speaker 3: article about they may introduce those drugs gop one drugs. 331 00:17:25,280 --> 00:17:27,399 Speaker 3: That's like your a zempic and your zep bound and 332 00:17:27,440 --> 00:17:30,240 Speaker 3: your what are some of the other brand names. It's 333 00:17:30,320 --> 00:17:34,520 Speaker 3: like one wigov wigovy panera. Is that one of them? No, 334 00:17:34,640 --> 00:17:35,560 Speaker 3: that's a bread it is. 335 00:17:35,640 --> 00:17:36,040 Speaker 2: That's right. 336 00:17:36,119 --> 00:17:39,639 Speaker 3: Yeah, No, they they're coming up with them for pets. 337 00:17:39,960 --> 00:17:41,720 Speaker 2: Oh you got a fat dog or a fat cat. 338 00:17:42,000 --> 00:17:44,080 Speaker 2: But the National Review has an article. 339 00:17:43,840 --> 00:17:46,359 Speaker 3: Today for the people version the dangers of weight loss 340 00:17:46,400 --> 00:17:48,239 Speaker 3: drugs going mainstream. 341 00:17:48,760 --> 00:17:50,840 Speaker 2: Wow, it's just when it seemed like a great idea, 342 00:17:51,160 --> 00:17:51,720 Speaker 2: I think. 343 00:17:51,560 --> 00:17:54,680 Speaker 3: This is I guess it's just a journalism thing. 344 00:17:56,080 --> 00:17:58,560 Speaker 2: Something becomes pocketer. You write an article about. 345 00:17:58,320 --> 00:18:01,480 Speaker 3: How this could be bad, all right, because I read 346 00:18:01,480 --> 00:18:03,800 Speaker 3: the whole article and it doesn't convince me. But it's 347 00:18:03,800 --> 00:18:06,119 Speaker 3: some interesting information in here. Because i'd forgotten some of 348 00:18:06,119 --> 00:18:08,920 Speaker 3: this stuff. I didn't remember that Kate Moss, who was 349 00:18:08,960 --> 00:18:11,840 Speaker 3: one of your famous skinny models of like the eighties 350 00:18:11,840 --> 00:18:17,560 Speaker 3: and nineties, nothing tastes as good as skinny feels. She 351 00:18:17,720 --> 00:18:19,479 Speaker 3: was famous for saying, I guess even though I've never 352 00:18:19,520 --> 00:18:24,080 Speaker 3: heard that before. The mantra, popularized by bone thin celebrities 353 00:18:24,119 --> 00:18:26,760 Speaker 3: and touted by teenagers with eating disorders, colored the way 354 00:18:26,800 --> 00:18:30,320 Speaker 3: an entire generation thought about weight, food and exercise. Katie, 355 00:18:30,560 --> 00:18:34,720 Speaker 3: you lost a ton of weight yourself throughout the years, 356 00:18:34,760 --> 00:18:38,200 Speaker 3: But you I don't think you've ever said anything about 357 00:18:38,240 --> 00:18:41,800 Speaker 3: like going too far, being too skinny, or were you. 358 00:18:41,880 --> 00:18:46,240 Speaker 5: Ever there was a point where yeah, I was a 359 00:18:46,280 --> 00:18:48,240 Speaker 5: little too skinny, but that was because I was so 360 00:18:48,359 --> 00:18:52,200 Speaker 5: obsessed with staying skinny and working out that it wasn't 361 00:18:52,560 --> 00:18:53,959 Speaker 5: something that I could continue to do. 362 00:18:54,080 --> 00:18:56,160 Speaker 2: But you had been quite overweight and had health problems. 363 00:18:56,320 --> 00:18:59,120 Speaker 3: Yeah, it's a pretty good reason to be pretty obsessed 364 00:18:59,160 --> 00:19:01,600 Speaker 3: with staying thins right, That's the problem with all this. 365 00:19:01,760 --> 00:19:04,400 Speaker 3: I mean, yeah, you know, if you if you if 366 00:19:04,440 --> 00:19:06,240 Speaker 3: you have a heart attack and your doctor says you 367 00:19:06,240 --> 00:19:08,800 Speaker 3: got to lose weight, being pretty obsessed with losing weight 368 00:19:08,920 --> 00:19:11,800 Speaker 3: is that doesn't make you Kate Moss. Doesn't make a 369 00:19:11,840 --> 00:19:15,560 Speaker 3: k Yeah, it doesn't make you Kate Moss. When models 370 00:19:15,560 --> 00:19:20,119 Speaker 3: in the twenty tens eight calorie free cotton balls dipped 371 00:19:20,160 --> 00:19:23,080 Speaker 3: in juice or gelatin to make their slices feel. 372 00:19:22,840 --> 00:19:25,760 Speaker 2: Full, what I had missed this? 373 00:19:26,520 --> 00:19:30,439 Speaker 3: What you take a cotton ball and dip it in 374 00:19:30,560 --> 00:19:32,640 Speaker 3: juice or jello to make your. 375 00:19:32,560 --> 00:19:33,400 Speaker 2: Stomach feel ful? 376 00:19:33,440 --> 00:19:33,480 Speaker 6: No? 377 00:19:33,560 --> 00:19:34,240 Speaker 2: I don't. 378 00:19:35,560 --> 00:19:38,520 Speaker 3: Wow that how did I never hear about that? Well, 379 00:19:38,560 --> 00:19:40,080 Speaker 3: I don't know if lots of people were doing it. 380 00:19:40,080 --> 00:19:43,760 Speaker 3: See that's the thing you get, that's what I heard 381 00:19:43,800 --> 00:19:44,239 Speaker 3: about it. 382 00:19:44,359 --> 00:19:45,400 Speaker 2: Yeah, yeah, you. 383 00:19:45,359 --> 00:19:47,480 Speaker 3: Get six hipsters in the New York or LA that 384 00:19:47,520 --> 00:19:51,840 Speaker 3: are doing it, and women all across America. No not Actually, 385 00:19:51,840 --> 00:19:54,120 Speaker 3: if you just look around, people all across America are 386 00:19:54,240 --> 00:19:58,880 Speaker 3: not overwhelmingly obsessed with being thin. Based on my trip 387 00:19:58,920 --> 00:19:59,920 Speaker 3: to Walmart last. 388 00:19:59,720 --> 00:20:03,040 Speaker 4: Week, Well, I do enjoy a nice mouthful of cotton balls. 389 00:20:03,040 --> 00:20:07,879 Speaker 3: So when celebrities embarked on the Master Kleans in the 390 00:20:07,880 --> 00:20:11,000 Speaker 3: early two thousand, a detox diet that consisted only of 391 00:20:11,160 --> 00:20:16,479 Speaker 3: lemon juice, maple syrup, water, and cayenne pepper, right, you 392 00:20:16,520 --> 00:20:21,400 Speaker 3: remember that when our former newswoman announced, with great fans 393 00:20:21,400 --> 00:20:23,240 Speaker 3: fair she was going to do that and made it 394 00:20:23,280 --> 00:20:24,040 Speaker 3: till eleven am. 395 00:20:24,160 --> 00:20:26,720 Speaker 2: I think it was one did make it to lunch 396 00:20:26,800 --> 00:20:30,960 Speaker 2: the first day. I remember that. Yeah, Jamie, you're a 397 00:20:30,960 --> 00:20:35,719 Speaker 2: good person. Oh yeah, heck, bad diet. 398 00:20:37,600 --> 00:20:41,399 Speaker 5: I think Beyonce started that whole thing, The cleans, the 399 00:20:41,720 --> 00:20:45,560 Speaker 5: lemon honey, cayenne giasco. 400 00:20:46,160 --> 00:20:51,520 Speaker 3: None of these crazes I'm reading from the National Review provided. 401 00:20:51,200 --> 00:20:54,040 Speaker 2: Enough essential nutrients to make her keep a person healthy. 402 00:20:54,240 --> 00:20:56,960 Speaker 3: Girls who ate cotton balls lost their hair and developed 403 00:20:57,000 --> 00:21:03,880 Speaker 3: gastro intestinal problems. Master, that's surprising, Master Cleanser's passed. 404 00:21:03,560 --> 00:21:05,919 Speaker 2: Out in the middle of the day. That's what Jamie 405 00:21:05,960 --> 00:21:08,200 Speaker 2: had had going. She was like, I can't do this. 406 00:21:09,119 --> 00:21:10,800 Speaker 3: It's like an hour after we got off the air 407 00:21:10,880 --> 00:21:15,119 Speaker 3: the first day. Good for her, though she recognized it 408 00:21:15,119 --> 00:21:18,919 Speaker 3: was a bad idea. And then it talks about the 409 00:21:18,920 --> 00:21:21,240 Speaker 3: TV show The Biggest Loser, in which all the contestants 410 00:21:21,240 --> 00:21:23,400 Speaker 3: gained back the weight, which ended up being really really 411 00:21:23,440 --> 00:21:25,639 Speaker 3: good for the world because the studies they did on 412 00:21:25,680 --> 00:21:28,439 Speaker 3: The Biggest Loser stuff is what alerted us all to 413 00:21:28,560 --> 00:21:32,159 Speaker 3: the sad, sad fact that we have where we end 414 00:21:32,200 --> 00:21:34,720 Speaker 3: up genetically programmed for a certain weight and your body 415 00:21:34,760 --> 00:21:36,960 Speaker 3: goes into all kinds of conniption fits to make sure 416 00:21:37,000 --> 00:21:39,720 Speaker 3: you stay it that weight. And it's some of the 417 00:21:39,720 --> 00:21:41,959 Speaker 3: most depressing news I've ever gotten in my wife, but 418 00:21:42,000 --> 00:21:46,120 Speaker 3: it certainly seems to be true. Wow, gen Z has 419 00:21:46,200 --> 00:21:50,840 Speaker 3: inherited a weight obsessed culture, one that social media has exacerbated. 420 00:21:51,040 --> 00:21:53,600 Speaker 2: Photos and videos of idyllic bodies are streamed into our 421 00:21:53,600 --> 00:21:54,240 Speaker 2: mind so often. 422 00:21:54,280 --> 00:21:56,280 Speaker 3: I mean, they've been saying this since as a little kid, 423 00:21:56,400 --> 00:21:58,439 Speaker 3: when it was magazines on the rack at the store, 424 00:21:58,480 --> 00:21:58,800 Speaker 3: and now. 425 00:21:58,720 --> 00:21:59,840 Speaker 2: It's social media stuff. 426 00:22:00,520 --> 00:22:04,480 Speaker 3: I don't know, to girls willing to starve themselves, those 427 00:22:04,520 --> 00:22:06,720 Speaker 3: bodies are, at least for a time, an achievable norm. 428 00:22:07,840 --> 00:22:10,679 Speaker 3: I've always had a problem with animy because everybody on 429 00:22:10,720 --> 00:22:13,159 Speaker 3: every magazine cover has always been better looking than me. 430 00:22:13,960 --> 00:22:15,880 Speaker 3: And I don't know, I never thought about it that much, 431 00:22:15,920 --> 00:22:17,919 Speaker 3: and I wish to If you ask me, would you 432 00:22:17,960 --> 00:22:18,640 Speaker 3: like to look like them? 433 00:22:18,760 --> 00:22:21,880 Speaker 2: Yeah, I'd really like to look like them, But that's 434 00:22:21,960 --> 00:22:25,040 Speaker 2: kind of the end of it. Yeah, and it is 435 00:22:25,080 --> 00:22:25,800 Speaker 2: for most people. 436 00:22:26,000 --> 00:22:28,800 Speaker 3: So the problem with all these things is what percentage 437 00:22:28,840 --> 00:22:31,920 Speaker 3: of people have to go off the nutty deep end 438 00:22:31,960 --> 00:22:34,120 Speaker 3: on something for it to be something that the rest 439 00:22:34,160 --> 00:22:37,680 Speaker 3: of society should react to, right, or that the rest 440 00:22:37,720 --> 00:22:40,360 Speaker 3: of us have to refrain from from now on, you know, 441 00:22:40,440 --> 00:22:42,240 Speaker 3: because some people go way too far. 442 00:22:42,920 --> 00:22:44,840 Speaker 4: I don't know, stupid, should hurt buy the T shirt, 443 00:22:44,960 --> 00:22:50,719 Speaker 4: Armstrong and getty dot com. Bad behavior leads to negative outcomes, 444 00:22:52,160 --> 00:22:55,560 Speaker 4: enter weightlawd it must enter weight loss drugs. 445 00:22:55,640 --> 00:22:59,119 Speaker 3: Glp ones, originally intended to treat type two diabetes and 446 00:22:59,160 --> 00:23:01,920 Speaker 3: now used for weight loss, seemed to some like a boon, 447 00:23:01,960 --> 00:23:04,600 Speaker 3: a game changer for obese people who need medical intervention. 448 00:23:04,920 --> 00:23:08,840 Speaker 3: To others, gop one seemed like the next overhyped miracle drug, 449 00:23:09,440 --> 00:23:13,679 Speaker 3: which I think it actually is. Yeah, how do you 450 00:23:13,920 --> 00:23:16,400 Speaker 3: talk over hyped miracle drug when you were just talking 451 00:23:16,440 --> 00:23:21,000 Speaker 3: about people eating cotton balls tipped in kaien peppers or whatever. 452 00:23:21,160 --> 00:23:25,280 Speaker 3: That's not exactly an apples to apples comparison. Well, right, 453 00:23:25,520 --> 00:23:28,720 Speaker 3: and just overhyped miracles or what does that even mean? 454 00:23:28,800 --> 00:23:31,199 Speaker 2: That's eye of the behold. I think you're right the 455 00:23:31,240 --> 00:23:31,800 Speaker 2: first time. 456 00:23:32,240 --> 00:23:34,800 Speaker 4: It's the whole all right, we've put out six articles 457 00:23:34,840 --> 00:23:37,320 Speaker 4: about how great something is. Now we need to start 458 00:23:37,359 --> 00:23:42,800 Speaker 4: the backlash. But yeah, Jenny, you write some backlashy articles, right, 459 00:23:43,280 --> 00:23:44,720 Speaker 4: could we have gone too far? 460 00:23:44,960 --> 00:23:46,000 Speaker 2: Go ahead, we'll do that. 461 00:23:49,359 --> 00:23:51,840 Speaker 3: Which, if marketed to the wrong subset of people, could 462 00:23:51,920 --> 00:23:55,439 Speaker 3: perpetuate the myth that's skinny is better than healthy skinny. 463 00:23:55,480 --> 00:23:59,080 Speaker 4: So don't Yeah, so don't, And that's wrong. Read a book, 464 00:23:59,240 --> 00:24:03,280 Speaker 4: read a magazine, he'll read a tweet. You don't know 465 00:24:03,359 --> 00:24:08,560 Speaker 4: that if you need proper nutrition, even if you're losing weight, 466 00:24:08,680 --> 00:24:11,240 Speaker 4: you don't know that. You're dumb. There's nothing I can do. 467 00:24:11,200 --> 00:24:11,639 Speaker 2: To help you. 468 00:24:12,720 --> 00:24:17,240 Speaker 5: And speaking of Kate Moss, her sister actually overdosed on ozempic. 469 00:24:18,960 --> 00:24:25,000 Speaker 5: Overdosed on Yeah, she was she wasn't heavy and the 470 00:24:25,040 --> 00:24:27,520 Speaker 5: dosage of ozempic was too high and she ended up 471 00:24:27,520 --> 00:24:31,159 Speaker 5: in the hospital because of it. 472 00:24:32,240 --> 00:24:34,679 Speaker 3: Well, my question remains, and this is not just for 473 00:24:34,720 --> 00:24:36,639 Speaker 3: this weight loss saying, it's really for everything. It's just 474 00:24:37,280 --> 00:24:43,399 Speaker 3: what percentage of people that are either nuts or I 475 00:24:43,400 --> 00:24:45,560 Speaker 3: don't know what it is, an addictive person, whatever your 476 00:24:45,600 --> 00:24:48,760 Speaker 3: deal is, have poor judgment or stupid What percentage of 477 00:24:48,760 --> 00:24:52,600 Speaker 3: people with anything does it need to reach before we 478 00:24:52,640 --> 00:24:58,560 Speaker 3: should considered a problem for the masses who aren't going 479 00:24:58,640 --> 00:25:01,800 Speaker 3: to do this. The mass some of us see attractive 480 00:25:01,800 --> 00:25:04,399 Speaker 3: people on magazine covers or TV shows and just think'd 481 00:25:04,440 --> 00:25:05,800 Speaker 3: be cool to look like that, But I don't. You 482 00:25:05,920 --> 00:25:08,360 Speaker 3: just don't really ever think about it. It doesn't take 483 00:25:08,359 --> 00:25:11,720 Speaker 3: over your life. Yeah, you might try to be more 484 00:25:11,880 --> 00:25:12,520 Speaker 3: good looking. 485 00:25:12,600 --> 00:25:15,440 Speaker 4: Certainly everybody likes to present themselves the best they can. 486 00:25:15,480 --> 00:25:18,679 Speaker 4: But yeah, yeah, I think all of that's overblown it 487 00:25:18,680 --> 00:25:22,399 Speaker 4: and it just to even hint it. Therefore, these so 488 00:25:22,680 --> 00:25:26,640 Speaker 4: called miracle drugs are really an evil scourge or I mean, 489 00:25:26,800 --> 00:25:28,879 Speaker 4: they don't state that in the article. I'm sure but 490 00:25:28,960 --> 00:25:29,879 Speaker 4: that's the hinting at it. 491 00:25:30,000 --> 00:25:33,080 Speaker 3: You know, it's just just thinking out loud. But wouldn't 492 00:25:33,080 --> 00:25:37,120 Speaker 3: it make more sense to say America would be better 493 00:25:37,160 --> 00:25:41,119 Speaker 3: off if many, many, many more people looked at magazine 494 00:25:41,160 --> 00:25:46,040 Speaker 3: covers and became really interested in losing, right, Because the 495 00:25:46,119 --> 00:25:48,200 Speaker 3: vast majority of those people would end up in a 496 00:25:48,280 --> 00:25:50,320 Speaker 3: much better place and be healthy. There would be a 497 00:25:50,440 --> 00:25:53,480 Speaker 3: very small minority who went too far, starved themselves or whatever. 498 00:25:53,520 --> 00:25:56,119 Speaker 2: But that's no reason not to have you know. 499 00:25:56,160 --> 00:25:58,880 Speaker 4: It's like saying, don't evacuate the building that's on fire 500 00:25:58,920 --> 00:26:01,560 Speaker 4: because a certain number of people might step on a 501 00:26:01,640 --> 00:26:04,320 Speaker 4: nail or trip and fall, or better that we all 502 00:26:04,359 --> 00:26:05,200 Speaker 4: remain in place. 503 00:26:05,320 --> 00:26:08,800 Speaker 2: Now, that's just dumb. I'm s'p stupid, should hurt. 504 00:26:09,000 --> 00:26:12,679 Speaker 3: You cannot regulate ninety five percent of society based on 505 00:26:12,760 --> 00:26:14,720 Speaker 3: the needs of the five percent who were too dumb 506 00:26:14,760 --> 00:26:18,040 Speaker 3: to help or crazy, you know, And I'm not and 507 00:26:18,040 --> 00:26:18,920 Speaker 3: I'm trying to. 508 00:26:18,840 --> 00:26:19,840 Speaker 2: Be dismissive of life. 509 00:26:19,880 --> 00:26:22,679 Speaker 4: The young girl's adolescents with eating disorders, it's a terrible, 510 00:26:22,680 --> 00:26:23,520 Speaker 4: heartbreaking problem. 511 00:26:23,560 --> 00:26:24,240 Speaker 2: No, it is horrible. 512 00:26:24,280 --> 00:26:26,360 Speaker 3: I got a friend who have both their daughters had 513 00:26:26,520 --> 00:26:30,400 Speaker 3: eating disorders, really really really really awful. But what percentage 514 00:26:30,440 --> 00:26:34,240 Speaker 3: of people die from obesiti related illnesses every year compared 515 00:26:34,280 --> 00:26:37,240 Speaker 3: to die from anarexia. 516 00:26:37,400 --> 00:26:40,920 Speaker 4: It's roughly a million to one. Yeah, right, exactly right. 517 00:26:41,000 --> 00:26:43,080 Speaker 4: So I don't need some magazine guy telling me, Joe, 518 00:26:43,080 --> 00:26:45,679 Speaker 4: don't get too excited about these JLP ones because some 519 00:26:45,720 --> 00:26:46,720 Speaker 4: people might go too far. 520 00:26:47,880 --> 00:26:49,960 Speaker 2: Well, I'm not going to, so stop shouting at me. 521 00:26:51,480 --> 00:26:53,359 Speaker 3: And I don't think that you can take in no 522 00:26:53,560 --> 00:26:58,040 Speaker 3: nutrients and be perfectly okay if I'm gobbling cotton balls 523 00:26:58,080 --> 00:27:01,919 Speaker 3: and I'm beyond help from a from the newspaper article 524 00:27:02,200 --> 00:27:02,679 Speaker 3: or whatever. 525 00:27:03,840 --> 00:27:07,360 Speaker 2: Yeah, I don't know that thing has been around for 526 00:27:07,480 --> 00:27:09,399 Speaker 2: ever my entire radio career. 527 00:27:09,560 --> 00:27:15,080 Speaker 3: These unrealistic images we put on television, What are. 528 00:27:14,960 --> 00:27:16,960 Speaker 2: You talking about? 529 00:27:16,640 --> 00:27:19,679 Speaker 3: The people in the village got more attention to and 530 00:27:19,720 --> 00:27:20,920 Speaker 3: you wish you looked like them. 531 00:27:21,480 --> 00:27:25,479 Speaker 4: That reminds me of the ancient discussion about whether, and 532 00:27:25,560 --> 00:27:29,760 Speaker 4: I remember it was at the time Playboy magazine, if 533 00:27:30,720 --> 00:27:34,199 Speaker 4: some women really didn't like it because they felt like 534 00:27:34,440 --> 00:27:39,000 Speaker 4: all men would compare them to the very brushed Right, 535 00:27:39,119 --> 00:27:42,960 Speaker 4: that's a small percentage of dope dudes don't deserve the 536 00:27:43,000 --> 00:27:44,440 Speaker 4: love of a good woman anyway. 537 00:27:45,680 --> 00:27:50,040 Speaker 2: Yeah, I just thought I don't know is how much. 538 00:27:51,560 --> 00:27:54,840 Speaker 3: How many things like this were just invented for talk 539 00:27:54,960 --> 00:27:58,560 Speaker 3: radio fodder. Practically, maybe we're the reason for its turning 540 00:27:58,600 --> 00:28:01,960 Speaker 3: the way back talk radio something to talk about on 541 00:28:02,000 --> 00:28:07,400 Speaker 3: a you know, a Wednesday afternoon while people drive to work. Yeah, 542 00:28:07,480 --> 00:28:11,359 Speaker 3: I don't know, I'm unrealistic images Okay, But so that 543 00:28:11,480 --> 00:28:14,920 Speaker 3: was your first blowback article thus far on the new 544 00:28:14,920 --> 00:28:18,000 Speaker 3: weight loss drugs, which and I love National review. 545 00:28:18,240 --> 00:28:19,200 Speaker 2: That was freaking week. 546 00:28:19,760 --> 00:28:24,840 Speaker 3: Oh that's try freaking week. We're probably going to prevent 547 00:28:24,920 --> 00:28:27,560 Speaker 3: six hundred and fifty thousand heart attacks this year. But 548 00:28:27,560 --> 00:28:30,920 Speaker 3: there's five young women across America who will take too much, 549 00:28:31,000 --> 00:28:35,480 Speaker 3: like Kate Moss's dopey sister. Fine, great, it's a big country. 550 00:28:35,560 --> 00:28:46,880 Speaker 6: Will We'll be okay, The Armstrong and Getty Show. 551 00:28:47,480 --> 00:28:50,640 Speaker 4: So, my sweetheart Judy and I spent eight days in 552 00:28:50,680 --> 00:28:54,719 Speaker 4: London and had an absolutely wonderful time. I loved England 553 00:28:54,760 --> 00:28:58,320 Speaker 4: as I suspected I would. It's a very interesting place. 554 00:28:59,640 --> 00:29:04,520 Speaker 4: I'd become a fan of day drinking, and not in 555 00:29:04,600 --> 00:29:08,240 Speaker 4: that like vacation drinking all day long way, but in 556 00:29:08,320 --> 00:29:12,040 Speaker 4: the like you have a pint at lunch at a 557 00:29:12,080 --> 00:29:15,080 Speaker 4: pub and then you go do what you're going to do. 558 00:29:15,160 --> 00:29:16,880 Speaker 2: You're not quote unquote drinking. 559 00:29:17,360 --> 00:29:20,720 Speaker 3: You just have a beer because it's nice and it 560 00:29:20,760 --> 00:29:22,720 Speaker 3: makes you feel slightly more cheerful. 561 00:29:22,760 --> 00:29:23,400 Speaker 2: Why did we eat? 562 00:29:24,040 --> 00:29:25,840 Speaker 3: How did we develop our attitude we have in the 563 00:29:25,880 --> 00:29:27,880 Speaker 3: United States over the years, because I remember when I 564 00:29:27,880 --> 00:29:30,880 Speaker 3: was in Italy thinking the same thing. Everybody would come 565 00:29:30,880 --> 00:29:33,520 Speaker 3: in the restaurants, like people who are working their jobs. 566 00:29:33,520 --> 00:29:34,880 Speaker 3: They'd have a glass of wine, eat their food and 567 00:29:34,880 --> 00:29:36,960 Speaker 3: then go back to work. And that is seen in 568 00:29:36,960 --> 00:29:42,480 Speaker 3: the United States. It's just insane, just absolutely crazy. Yeah, 569 00:29:42,560 --> 00:29:45,240 Speaker 3: the Europeans have what I would call a very European 570 00:29:45,560 --> 00:29:50,280 Speaker 3: look or view of drinking that I found refreshing. Speaking 571 00:29:50,280 --> 00:29:50,840 Speaker 3: of pubs. 572 00:29:51,440 --> 00:29:54,480 Speaker 4: So we rented a flat in Mayfair if you know 573 00:29:54,520 --> 00:29:57,480 Speaker 4: where that is, doesn't matter, New Bond Street, lots of 574 00:29:57,560 --> 00:30:03,120 Speaker 4: like crazy high end shop thing, mostly populated by Kuwaiti 575 00:30:03,160 --> 00:30:06,160 Speaker 4: oil money. Oh wow, by the bye guys walking up 576 00:30:06,200 --> 00:30:09,160 Speaker 4: the street with four chicks and the beekeeper out really 577 00:30:09,840 --> 00:30:12,960 Speaker 4: going into perfume stores and spending just one godly amounts 578 00:30:12,960 --> 00:30:14,440 Speaker 4: of oil money a lot real. 579 00:30:14,520 --> 00:30:18,400 Speaker 2: That's not an exaggeration. You saw a guy walking up 580 00:30:18,440 --> 00:30:21,040 Speaker 2: the street with four women in the beekeeper up in 581 00:30:21,840 --> 00:30:25,840 Speaker 2: eight days, many times. Yes, wow, I mean one to 582 00:30:26,520 --> 00:30:30,000 Speaker 2: six women in the beekeeper. Wow. Yeah. 583 00:30:30,040 --> 00:30:34,680 Speaker 3: Anyway, Oh, they are basically sex slaves or cleaning your 584 00:30:34,720 --> 00:30:37,560 Speaker 3: house slaves or whatever, and everybody just tolerates. 585 00:30:37,000 --> 00:30:38,240 Speaker 2: That with no rights. 586 00:30:38,320 --> 00:30:42,240 Speaker 4: That's correct, yes, And Brits are not super duper happy 587 00:30:42,280 --> 00:30:46,960 Speaker 4: about the completely wildly unfettered immigration from Muslim lands over 588 00:30:47,000 --> 00:30:50,040 Speaker 4: the last twenty years. More on that another time, but anyway, 589 00:30:50,200 --> 00:30:53,640 Speaker 4: but out our windows onto the street, there was a 590 00:30:53,680 --> 00:30:57,360 Speaker 4: little like just had half a block long street and 591 00:30:57,400 --> 00:30:59,560 Speaker 4: there was a pub on each side of it. 592 00:30:59,600 --> 00:31:01,680 Speaker 2: At the other end. It was one hundred yards from. 593 00:31:01,560 --> 00:31:03,800 Speaker 3: Us maybe as we looked out the window, and it 594 00:31:03,880 --> 00:31:08,920 Speaker 3: was so cool every day, and more and more as 595 00:31:08,920 --> 00:31:09,600 Speaker 3: the week went on. 596 00:31:10,040 --> 00:31:13,040 Speaker 2: At four thirty or so, certainly by five. 597 00:31:12,880 --> 00:31:17,240 Speaker 4: O'clock there would be so many people standing in and 598 00:31:17,320 --> 00:31:20,720 Speaker 4: outside the pub having a pint with their coworkers and 599 00:31:20,840 --> 00:31:25,120 Speaker 4: friends and a laugh and a conversation before they went 600 00:31:25,160 --> 00:31:25,960 Speaker 4: home for the day. 601 00:31:26,160 --> 00:31:29,800 Speaker 2: Sounds like a recipe for sexual harassment, Oh my god. 602 00:31:29,920 --> 00:31:32,080 Speaker 2: And it wasn't. 603 00:31:32,240 --> 00:31:38,479 Speaker 3: They were drinking, No, they were talking with people because 604 00:31:38,480 --> 00:31:42,160 Speaker 3: they worked with people, and they met their buddies, and 605 00:31:42,200 --> 00:31:45,640 Speaker 3: they talked about the football match, which is soccer and 606 00:31:46,080 --> 00:31:51,200 Speaker 3: it just it was so nice. Yeah, anyway, yeah, and 607 00:31:51,240 --> 00:31:53,280 Speaker 3: I thought, wow, I could get used to this in 608 00:31:53,280 --> 00:31:53,720 Speaker 3: a hurry. 609 00:31:53,840 --> 00:31:57,920 Speaker 4: Although the pub thing, we went to this one historic pub. 610 00:31:58,080 --> 00:32:00,400 Speaker 4: We met our next door neighbors from home. Weird enough, 611 00:32:00,800 --> 00:32:01,800 Speaker 4: they were over there at. 612 00:32:01,680 --> 00:32:03,560 Speaker 3: The same time. We decided to get together. We go 613 00:32:03,600 --> 00:32:08,880 Speaker 3: to this pub, hundreds of years old, pub, drenched in history, legendary, 614 00:32:09,040 --> 00:32:11,760 Speaker 3: the Prince something or lord, what's it there, I don't 615 00:32:11,760 --> 00:32:14,760 Speaker 3: even remember the name, but it was very atmospheric. But anyway, 616 00:32:14,920 --> 00:32:17,800 Speaker 3: so we're sitting there having dinner and or we're having 617 00:32:17,880 --> 00:32:19,720 Speaker 3: you know, a couple of pines, and we decided it's 618 00:32:19,720 --> 00:32:22,640 Speaker 3: time to eat, and we order like four small plates 619 00:32:22,640 --> 00:32:25,640 Speaker 3: off the menu, and the waitress comes back. 620 00:32:25,440 --> 00:32:27,120 Speaker 2: And says, I'm so sorry. 621 00:32:27,160 --> 00:32:31,480 Speaker 4: We're actually out of the calamari and the pucker fish 622 00:32:31,560 --> 00:32:36,160 Speaker 4: or whatever the hell it was, and also the beef Wellington. 623 00:32:36,520 --> 00:32:41,000 Speaker 3: And we're like, oh, okay, it's like six o'clock at night, 624 00:32:41,560 --> 00:32:43,280 Speaker 3: how are you all right? All right, all right, we'll 625 00:32:43,360 --> 00:32:45,760 Speaker 3: order those other things. Then she comes back in like 626 00:32:45,800 --> 00:32:48,560 Speaker 3: two of those three are out. So should she ever 627 00:32:48,600 --> 00:32:51,200 Speaker 3: get around to admitting we're not actually a restaurant, we 628 00:32:51,800 --> 00:32:53,920 Speaker 3: don't have any food at all. We just have a menu. 629 00:32:54,320 --> 00:32:56,480 Speaker 3: We just hope we're working on the wind. Most people 630 00:32:56,480 --> 00:32:59,479 Speaker 3: start drinking, they forget if they're hungry. So at one 631 00:32:59,520 --> 00:33:01,640 Speaker 3: point I said, it would save time if you just 632 00:33:01,680 --> 00:33:05,800 Speaker 3: told me what you do have, But we end up 633 00:33:05,800 --> 00:33:07,400 Speaker 3: with this mess of food. 634 00:33:07,720 --> 00:33:11,920 Speaker 2: Did you say that I shouldn't have? But I didn't know. 635 00:33:12,440 --> 00:33:14,200 Speaker 4: And finally so at the end of the evening and 636 00:33:14,240 --> 00:33:17,720 Speaker 4: it was lovely, she comes and says, can you tell 637 00:33:17,760 --> 00:33:19,719 Speaker 4: me what you actually ordered? 638 00:33:19,800 --> 00:33:21,840 Speaker 2: And got? Oh boy? 639 00:33:21,920 --> 00:33:26,320 Speaker 3: And I'm like, wait a minute, that's your job. We're 640 00:33:26,360 --> 00:33:30,480 Speaker 3: support no, no, no, you tell us. And it was 641 00:33:30,560 --> 00:33:34,200 Speaker 3: just part of it is tipping is not really a 642 00:33:34,240 --> 00:33:35,240 Speaker 3: thing there. 643 00:33:35,800 --> 00:33:38,960 Speaker 4: Now they've got a service charge that's like five, six, 644 00:33:39,400 --> 00:33:45,640 Speaker 4: maybe ten percent, but you feel it because they're not 645 00:33:45,920 --> 00:33:48,480 Speaker 4: earning it. They're like, look, I'm getting my six percent. 646 00:33:48,760 --> 00:33:50,920 Speaker 2: Oh okay, no matter what, gotcha. 647 00:33:51,400 --> 00:33:54,080 Speaker 4: So if you have to like order twenty four foods 648 00:33:54,120 --> 00:33:56,760 Speaker 4: before I bring you three, just because we're playing this 649 00:33:56,840 --> 00:33:57,600 Speaker 4: little game of. 650 00:33:57,880 --> 00:34:00,719 Speaker 3: We might have it, we might not what a new 651 00:34:00,880 --> 00:34:06,480 Speaker 3: order find out. So you know, it's it's pluses and minuses. 652 00:34:06,480 --> 00:34:09,239 Speaker 3: Because the whole tipping thing is it's stressful, especially if. 653 00:34:09,200 --> 00:34:11,359 Speaker 2: You don't know the local customs. But yeah, Michael, how 654 00:34:11,480 --> 00:34:16,760 Speaker 2: was the food over there? Overall in England? Uh, overall 655 00:34:17,680 --> 00:34:18,239 Speaker 2: kind of. 656 00:34:18,520 --> 00:34:22,399 Speaker 4: Good, not great, But once you realize how to order 657 00:34:22,400 --> 00:34:25,000 Speaker 4: and what to order, it's it's better. But yeah, the 658 00:34:25,000 --> 00:34:27,760 Speaker 4: Brits are not famous for food for for good reason. 659 00:34:28,280 --> 00:34:30,319 Speaker 4: If you say, hey, what's a great meal around here, 660 00:34:30,400 --> 00:34:33,440 Speaker 4: people will send you to an Italian restaurant or an 661 00:34:33,520 --> 00:34:37,839 Speaker 4: Indian restaurant for a good reason. But the other thing 662 00:34:37,840 --> 00:34:40,440 Speaker 4: about workers that I found interesting. We had a tour 663 00:34:40,480 --> 00:34:42,440 Speaker 4: guide at the British Museum who was just terrific. He 664 00:34:42,480 --> 00:34:46,400 Speaker 4: was a professor of history, and he said, yeah, that 665 00:34:46,520 --> 00:34:49,840 Speaker 4: exhibit is shut down because there's just no employees. 666 00:34:49,880 --> 00:34:52,280 Speaker 2: There's no one to work. I said, what, that's odd? 667 00:34:52,440 --> 00:34:55,759 Speaker 4: He said, oh, yeah, since COVID, everybody stays home, they 668 00:34:55,800 --> 00:34:58,520 Speaker 4: live with their parents, they're collecting government checks. 669 00:34:58,600 --> 00:34:59,759 Speaker 2: You can't get people to work. 670 00:35:00,440 --> 00:35:03,440 Speaker 3: I thought that was so interesting and exactly what you 671 00:35:03,480 --> 00:35:05,600 Speaker 3: hear from so many employers in the States. Yeah, we 672 00:35:05,640 --> 00:35:08,480 Speaker 3: had that conversation with my family in the Midwest of 673 00:35:08,520 --> 00:35:11,000 Speaker 3: the United States. I don't go to other countries and 674 00:35:11,000 --> 00:35:13,440 Speaker 3: give them my money. I stay in the United States 675 00:35:13,840 --> 00:35:17,120 Speaker 3: and for you. But we had the same conversation on 676 00:35:17,200 --> 00:35:20,440 Speaker 3: how a number of restaurants, including the one we were at, 677 00:35:21,400 --> 00:35:26,760 Speaker 3: was really they they weren't seating all the seats, not 678 00:35:26,320 --> 00:35:29,439 Speaker 3: because they were crowded, but because they didn't have enough help. 679 00:35:29,680 --> 00:35:30,879 Speaker 2: How is that still a thing. 680 00:35:31,600 --> 00:35:35,040 Speaker 4: Yeah, I know, it's amazing and universally universal, apparently,