1 00:00:10,520 --> 00:00:14,800 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:14,880 --> 00:00:18,360 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe. 3 00:00:18,200 --> 00:00:21,400 Speaker 2: Getty Armstrong and Gettet and Key. 4 00:00:24,040 --> 00:00:26,480 Speaker 3: Armstrong and Gutty Welcome. 5 00:00:26,600 --> 00:00:28,920 Speaker 4: We are off this week, so you're gonna hear some 6 00:00:29,160 --> 00:00:32,040 Speaker 4: best of replays of the Armstrong and Getty Shaw. 7 00:00:32,080 --> 00:00:33,279 Speaker 3: You're gonna love them. They're gonna be sitter. 8 00:00:33,440 --> 00:00:35,000 Speaker 4: I'm gonna be at home, sitting in my car and 9 00:00:35,120 --> 00:00:37,360 Speaker 4: listening to the radio while you do so. 10 00:00:37,760 --> 00:00:41,360 Speaker 5: While you're enjoying yourselves this week, why not hit Armstrong 11 00:00:41,400 --> 00:00:43,400 Speaker 5: at Getty dot com and pick up an A and 12 00:00:43,520 --> 00:00:45,800 Speaker 5: G T shirt or half for your favorite Ang fan, 13 00:00:45,880 --> 00:00:49,159 Speaker 5: including the hot Dogs Are Dogs Yeah, our Black Friday 14 00:00:49,159 --> 00:00:51,400 Speaker 5: special is same price as every other day. 15 00:00:51,560 --> 00:00:56,480 Speaker 4: No on with the infotainment. Another big story around sports. 16 00:00:56,560 --> 00:00:58,040 Speaker 4: I didn't realize the Winter Olympics or. 17 00:00:58,000 --> 00:00:58,840 Speaker 3: Twelve weeks away. 18 00:00:59,440 --> 00:01:05,360 Speaker 4: We're gonna yeah, and there's somewhere somewhere snowy isom France 19 00:01:05,640 --> 00:01:08,280 Speaker 4: where the winter limit Good'd be a good idea, crock 20 00:01:08,360 --> 00:01:09,920 Speaker 4: that for us? Will you, Katie ware are the dang 21 00:01:09,959 --> 00:01:12,640 Speaker 4: Winter Olympics? But anyway, Italy, I think or was that 22 00:01:12,720 --> 00:01:16,039 Speaker 4: last time? That doesn't matter someplace snowy is be a 23 00:01:16,040 --> 00:01:23,839 Speaker 4: good thing? It Yeah, probably not Jamaica, Milano, Cortina, I win. Congratulations. 24 00:01:24,160 --> 00:01:26,520 Speaker 4: So the Winter Olympics coming up in Italy, they ain't 25 00:01:26,560 --> 00:01:28,480 Speaker 4: gonna do the whole trans thing this time around. 26 00:01:28,520 --> 00:01:29,959 Speaker 3: Here's a little bit of that. This sounds like a 27 00:01:29,959 --> 00:01:31,560 Speaker 3: really big change potentially. 28 00:01:31,160 --> 00:01:33,600 Speaker 6: Nick, this would be big and it would be a 29 00:01:33,720 --> 00:01:36,920 Speaker 6: huge policy shift for the ile SE, which until now 30 00:01:37,160 --> 00:01:40,840 Speaker 6: has led each sports international governing body set their own 31 00:01:40,840 --> 00:01:43,319 Speaker 6: policies centered on transgender inclusion. 32 00:01:43,680 --> 00:01:44,720 Speaker 3: It would also mark. 33 00:01:44,560 --> 00:01:47,840 Speaker 6: A big change from the ILEC's twenty twenty one framework, 34 00:01:48,080 --> 00:01:51,240 Speaker 6: which said there should not be a presumption of advantage 35 00:01:51,320 --> 00:01:53,000 Speaker 6: when it comes to trans athletes. 36 00:01:53,640 --> 00:01:57,600 Speaker 4: So they were running scared last Olympics, like lots of 37 00:01:57,600 --> 00:01:59,920 Speaker 4: people were didn't want to be on the wrong side 38 00:02:00,160 --> 00:02:02,440 Speaker 4: this and said some things that they knew were wrong 39 00:02:02,520 --> 00:02:05,440 Speaker 4: and crazy, like you just heard and now I've changed 40 00:02:05,440 --> 00:02:05,800 Speaker 4: your mind. 41 00:02:05,840 --> 00:02:08,360 Speaker 3: Here's one of these spokespeople for the Olympics. 42 00:02:08,480 --> 00:02:10,920 Speaker 7: What I would like for the IOC to do is 43 00:02:10,960 --> 00:02:14,440 Speaker 7: to bring everyone together, to try and find a consensus 44 00:02:14,040 --> 00:02:17,280 Speaker 7: amongst all of us that we can all get behind 45 00:02:17,600 --> 00:02:20,760 Speaker 7: and that we can implement and above anything and everything else. 46 00:02:20,800 --> 00:02:23,120 Speaker 7: It's fair and protects the female categories. 47 00:02:23,160 --> 00:02:26,720 Speaker 4: They're all about protecting the female category. This she's new 48 00:02:26,760 --> 00:02:28,680 Speaker 4: and she got elected on the idea of I'm going 49 00:02:28,720 --> 00:02:31,760 Speaker 4: to protect women's sports, which is code for being and 50 00:02:31,919 --> 00:02:33,040 Speaker 4: let dudes. 51 00:02:34,160 --> 00:02:36,240 Speaker 3: Participate in our women's sports. 52 00:02:36,400 --> 00:02:38,160 Speaker 5: Well, of course you're not going to let men in 53 00:02:38,200 --> 00:02:41,600 Speaker 5: women's sports, then it's not women's sports, says virtually all 54 00:02:41,639 --> 00:02:44,240 Speaker 5: of humanity that got bullied into silence. 55 00:02:44,360 --> 00:02:47,280 Speaker 4: You know, in most cases, all these conversations that are 56 00:02:47,280 --> 00:02:50,320 Speaker 4: going on are how do we handle this without being 57 00:02:50,320 --> 00:02:52,919 Speaker 4: in trouble politically as opposed to what's the right thing 58 00:02:52,960 --> 00:02:56,080 Speaker 4: to do. You might have a couple true believers, you know, 59 00:02:57,320 --> 00:03:00,160 Speaker 4: your high school in California or something like that, but 60 00:03:00,360 --> 00:03:03,480 Speaker 4: mostly it's how do we handle this without causing a firestorm? 61 00:03:03,520 --> 00:03:06,520 Speaker 3: And here's the reasoning behind it all. 62 00:03:07,160 --> 00:03:10,480 Speaker 6: The IOC will issue the band sometime early next year, 63 00:03:10,720 --> 00:03:14,160 Speaker 6: citing a new scientific review that found effidence men have 64 00:03:14,240 --> 00:03:19,800 Speaker 6: a permanent physical advantage over women athletes even after hormone therapy. However, 65 00:03:19,840 --> 00:03:22,440 Speaker 6: the Guardian newspaper says the ban could still be a 66 00:03:22,560 --> 00:03:25,480 Speaker 6: year out and that the IOC is facing pushback to 67 00:03:25,520 --> 00:03:29,160 Speaker 6: a possible ban on athletes who reported female at birth, 68 00:03:29,400 --> 00:03:32,839 Speaker 6: but have male chromosomes and the same testosterone level as men, 69 00:03:33,240 --> 00:03:37,320 Speaker 6: also known as differences in sexual development. That would include 70 00:03:37,320 --> 00:03:42,160 Speaker 6: athletes like South Africa's casser Semenya, who won gold at 71 00:03:42,200 --> 00:03:45,080 Speaker 6: the London and Real Games before Track and Fields governing 72 00:03:45,120 --> 00:03:49,160 Speaker 6: body World Athletics banned DSc athletes from competing as women 73 00:03:49,400 --> 00:03:50,440 Speaker 6: in twenty twenty three. 74 00:03:51,440 --> 00:03:57,920 Speaker 4: DSc different sexual characteristics or whatever. Sah, yeah, yeah, I 75 00:03:58,040 --> 00:04:00,280 Speaker 4: like this new study that came out that said have 76 00:04:00,320 --> 00:04:01,360 Speaker 4: an advantage over women. 77 00:04:01,600 --> 00:04:03,760 Speaker 5: That's a good scientific study. I wonder who did that. 78 00:04:04,000 --> 00:04:06,960 Speaker 5: How much did you spend? Tell me about the methodology. 79 00:04:07,240 --> 00:04:10,760 Speaker 5: That's hilarious that they had to hide behind a new study, 80 00:04:11,280 --> 00:04:13,240 Speaker 5: good lord, instead of ancient wisdom. 81 00:04:13,400 --> 00:04:17,000 Speaker 4: You know, it strikes me you've learned since you were 82 00:04:17,000 --> 00:04:20,680 Speaker 4: a little kid on the playground. Going forward is the 83 00:04:20,720 --> 00:04:22,600 Speaker 4: new scientific study. 84 00:04:22,760 --> 00:04:26,040 Speaker 3: So I was reading about the women's soccer league. 85 00:04:26,040 --> 00:04:28,320 Speaker 5: They've had a controversy lately, and it's all centered around 86 00:04:28,400 --> 00:04:32,560 Speaker 5: this one player who is much bigger and muscular than 87 00:04:32,680 --> 00:04:36,000 Speaker 5: all of the girls on the field. Looks like a dude, 88 00:04:36,120 --> 00:04:38,400 Speaker 5: plays like a dude, built like a dude, et cetera. 89 00:04:38,800 --> 00:04:42,719 Speaker 5: It's a similar case to castor Semenya who they mentioned 90 00:04:42,800 --> 00:04:44,240 Speaker 5: who has internal testicles. 91 00:04:45,040 --> 00:04:45,680 Speaker 3: It was one of the. 92 00:04:47,800 --> 00:04:51,680 Speaker 4: That'd be awesome. Oh I like having testicles. I just 93 00:04:51,680 --> 00:04:52,279 Speaker 4: don't want him in. 94 00:04:52,240 --> 00:04:56,000 Speaker 5: The way I see, thanks for clarifying. So, but that's 95 00:04:56,000 --> 00:04:58,920 Speaker 5: one of the extremely rare cases where sex assigned at 96 00:04:58,920 --> 00:05:01,360 Speaker 5: birth is a phrase that makes any sense because these 97 00:05:01,360 --> 00:05:07,200 Speaker 5: are people with both sets of genitals, meaning no, of 98 00:05:07,240 --> 00:05:11,440 Speaker 5: course not no. So she has both ovaries and testicles 99 00:05:11,480 --> 00:05:14,560 Speaker 5: and has much much higher test to party like that. 100 00:05:14,880 --> 00:05:17,640 Speaker 5: The Turkish fella who was whipping up on the girls 101 00:05:17,680 --> 00:05:19,760 Speaker 5: in the boxing last time around too. 102 00:05:20,440 --> 00:05:22,200 Speaker 3: But you know, and it's funny. 103 00:05:22,240 --> 00:05:24,720 Speaker 4: How so what do you left, what do you think 104 00:05:24,760 --> 00:05:27,280 Speaker 4: we should do with people who have testicles and ovaries? 105 00:05:27,520 --> 00:05:29,839 Speaker 5: Oh, it's a shame, but they can't compete in women's sports. 106 00:05:30,080 --> 00:05:31,360 Speaker 5: And that's the point I was about to make. The 107 00:05:31,440 --> 00:05:35,080 Speaker 5: left always it's funny. They just are crazy about individual rights, 108 00:05:35,400 --> 00:05:38,719 Speaker 5: except when it comes to individual rights that conservatives like, 109 00:05:38,800 --> 00:05:39,919 Speaker 5: then they have no interest in them. 110 00:05:39,960 --> 00:05:41,080 Speaker 3: It's all about the community. 111 00:05:41,920 --> 00:05:44,360 Speaker 5: But yeah, I feel terrible for those people if they 112 00:05:44,360 --> 00:05:46,120 Speaker 5: want to be athletes, but they can either compete as 113 00:05:46,120 --> 00:05:48,800 Speaker 5: manner in an open category. You can't beat the crap 114 00:05:48,839 --> 00:05:52,680 Speaker 5: out of women because you are functionally athletically speaking, a man. 115 00:05:52,720 --> 00:05:56,599 Speaker 3: According to a new study, there avantage by being a man. 116 00:05:57,279 --> 00:05:59,840 Speaker 5: Oh, speaking of this sort of thing, I just finished 117 00:06:00,279 --> 00:06:03,400 Speaker 5: the piece by Colin Wright, who's terrific writer. 118 00:06:03,480 --> 00:06:05,279 Speaker 3: He writes about this sort of thing. 119 00:06:06,080 --> 00:06:08,719 Speaker 5: He was an academic scientist at Penn State in twenty 120 00:06:08,760 --> 00:06:14,640 Speaker 5: twenty and there was that crazy explosion in adolescent transgenderism 121 00:06:14,720 --> 00:06:18,839 Speaker 5: among young girls, and he commented two words social contagion. 122 00:06:19,200 --> 00:06:22,880 Speaker 5: Within hours, his colleagues denounced him as a transphobic bigot, 123 00:06:23,160 --> 00:06:25,600 Speaker 5: and the online mob came from him before him and 124 00:06:25,680 --> 00:06:31,160 Speaker 5: crushed his academic career. And he talks about how he 125 00:06:31,200 --> 00:06:35,040 Speaker 5: was referring to research published by a scientist who had 126 00:06:35,080 --> 00:06:38,200 Speaker 5: coined the term rapid onset genderness for you in twenty eighteen, 127 00:06:38,279 --> 00:06:41,520 Speaker 5: the peer reviewed paper blah blah blah, and that the 128 00:06:41,560 --> 00:06:45,240 Speaker 5: pattern was clearly explained by social contagion, the spread of 129 00:06:45,279 --> 00:06:48,360 Speaker 5: ideas or behaviors through peer influence. And there are other examples, 130 00:06:48,360 --> 00:06:51,719 Speaker 5: whether it's cutting or anarexi or whatever. Teen girls are 131 00:06:51,720 --> 00:06:54,440 Speaker 5: just incredibly prone to that sort of thing. But then 132 00:06:54,520 --> 00:06:59,920 Speaker 5: he gets to the fact that the left wing dogma 133 00:07:01,200 --> 00:07:05,080 Speaker 5: that gender identity is innate and immutable people are born 134 00:07:06,520 --> 00:07:07,679 Speaker 5: as transgender. 135 00:07:08,480 --> 00:07:11,280 Speaker 3: It's not they're not convinced by a trend or whatever. 136 00:07:11,320 --> 00:07:15,520 Speaker 5: It's they're born, and that claim underpins the medical practice 137 00:07:15,520 --> 00:07:19,720 Speaker 5: and the legal strategy puberty blockers, cross such hormones, mutilations 138 00:07:19,720 --> 00:07:23,320 Speaker 5: of kids, minors, and the rest of it, and the 139 00:07:23,320 --> 00:07:27,480 Speaker 5: civil rights argument. So then he makes the point that 140 00:07:27,640 --> 00:07:31,640 Speaker 5: the dominant argument to the counter argument to the social 141 00:07:31,680 --> 00:07:34,800 Speaker 5: contagent theory is that the sharp rise in transgender identification 142 00:07:34,840 --> 00:07:38,760 Speaker 5: over the past decades simply reflects liberation right people are 143 00:07:38,800 --> 00:07:44,640 Speaker 5: more comfortable expressing their authentic selves. That has been the argument. 144 00:07:45,760 --> 00:07:49,040 Speaker 5: As transgender activist and biologist Julius Serrano put it in 145 00:07:49,040 --> 00:07:51,920 Speaker 5: twenty seventeen, there really wasn't a rise in left handedness 146 00:07:52,160 --> 00:07:55,040 Speaker 5: so much as there was a rise in left handed acceptance. 147 00:07:56,080 --> 00:07:59,760 Speaker 5: That's an interesting premise, isn't it. People were free to 148 00:07:59,800 --> 00:08:03,240 Speaker 5: be who the f they were, as John Oliver put 149 00:08:03,280 --> 00:08:07,760 Speaker 5: it on his Last Week Tonight. But then Colin points out, 150 00:08:08,120 --> 00:08:11,160 Speaker 5: if transgender identity were an innate trait like left handedness, 151 00:08:11,160 --> 00:08:14,640 Speaker 5: we would expect identification rates to rise at first when 152 00:08:14,680 --> 00:08:18,880 Speaker 5: it became socially acceptable, then plateau and remain stable at 153 00:08:18,880 --> 00:08:22,680 Speaker 5: a fixed level. If the phenomenon were instead driven by 154 00:08:22,720 --> 00:08:26,480 Speaker 5: social contagion, we might expect a boom and bust pattern, 155 00:08:26,680 --> 00:08:29,920 Speaker 5: a spike followed by a rapid decline once the social 156 00:08:29,960 --> 00:08:35,120 Speaker 5: forces driving it were weakened. And indeed that has become 157 00:08:35,280 --> 00:08:41,280 Speaker 5: incredibly clear. Transgenderal identification has fallen fifty percent in two 158 00:08:41,440 --> 00:08:46,720 Speaker 5: years among college students and adolescents a couple of different studies. 159 00:08:47,920 --> 00:08:52,480 Speaker 5: It was clearly a social contagion, and people who got 160 00:08:52,480 --> 00:08:54,800 Speaker 5: their careers ruined for saying it wasn't good. 161 00:08:54,840 --> 00:08:58,280 Speaker 3: Lord, were you a victim of an angry wrong mob. 162 00:08:59,240 --> 00:09:01,600 Speaker 4: I'm glad left handedness that didn't catch on as a 163 00:09:01,640 --> 00:09:04,000 Speaker 4: social contagent and have a hard time pretending I was 164 00:09:04,080 --> 00:09:07,680 Speaker 4: left handed, eating, tying my shoes, whatever I'm doing. 165 00:09:07,880 --> 00:09:11,000 Speaker 5: Yeah, And then he points out that the overwhelming majority 166 00:09:11,000 --> 00:09:14,160 Speaker 5: of those driving the trans mania fall into the non 167 00:09:14,320 --> 00:09:19,080 Speaker 5: binary category, adopting identities which are said to be neither both, 168 00:09:19,200 --> 00:09:23,559 Speaker 5: somewhere in between demi boy, gender fluid, two spirit. These 169 00:09:23,600 --> 00:09:27,439 Speaker 5: are social identities, not biological ones. Unlike right handedness or 170 00:09:27,520 --> 00:09:32,439 Speaker 5: left handedness, non very non binary identities have no anatomical 171 00:09:32,520 --> 00:09:36,280 Speaker 5: or physiological reference. They're conceptual, political, and responsive to cultural 172 00:09:36,320 --> 00:09:38,479 Speaker 5: trends hallmarks of a social contagion. 173 00:09:38,840 --> 00:09:43,880 Speaker 4: Case closed dam next case. Man, I'm looking at the 174 00:09:44,480 --> 00:09:46,960 Speaker 4: dust up that happened in Berkeley. I wish i'd gone 175 00:09:47,000 --> 00:09:49,520 Speaker 4: last night. I was thinking about going. It's only whatever, 176 00:09:49,520 --> 00:09:52,280 Speaker 4: it is forty five miles from my house, but I 177 00:09:52,280 --> 00:09:56,000 Speaker 4: had some kids stuff going on. But it got pretty 178 00:09:56,000 --> 00:09:59,400 Speaker 4: spicy there outside the Turning Point event in Berkeley last night. 179 00:10:00,000 --> 00:10:02,640 Speaker 3: Are they needed you there fighting Antifa? And what did 180 00:10:02,640 --> 00:10:03,640 Speaker 3: you do? You stay at home? 181 00:10:03,880 --> 00:10:05,960 Speaker 4: What are the who are these numbnuts that show up 182 00:10:06,000 --> 00:10:08,200 Speaker 4: to fight this stuff? Just let them, let them gather 183 00:10:08,240 --> 00:10:11,520 Speaker 4: and speak it. What's the skin off your nose? They're 184 00:10:11,600 --> 00:10:15,760 Speaker 4: actually convinced that they're fascists. They believe, and that's that's 185 00:10:15,880 --> 00:10:18,280 Speaker 4: I have to remind myself of that semi regularly. And 186 00:10:18,280 --> 00:10:20,520 Speaker 4: it's true on the right, but especially on the left, 187 00:10:20,920 --> 00:10:24,880 Speaker 4: there is a significant group of people that believes the most. 188 00:10:24,880 --> 00:10:29,120 Speaker 5: Lunatic rantings of activists. They believe it. 189 00:10:29,240 --> 00:10:31,760 Speaker 4: You're willing to get into a fistfight over somebody speaking 190 00:10:31,760 --> 00:10:34,200 Speaker 4: in an auditorium. 191 00:10:33,559 --> 00:10:35,119 Speaker 3: Yeah, you're you're the fascist. 192 00:10:35,160 --> 00:10:38,720 Speaker 5: I mean clearly, Let's see you dress up in a uniform, 193 00:10:38,840 --> 00:10:41,240 Speaker 5: you go to the opposition events, and you beat people 194 00:10:41,360 --> 00:10:43,920 Speaker 5: up and call them fascists. 195 00:10:44,200 --> 00:10:46,800 Speaker 3: People inside having the speaking engagement. 196 00:10:47,360 --> 00:10:50,120 Speaker 5: It's the lack of appreciating the irony that offends me 197 00:10:50,160 --> 00:10:50,600 Speaker 5: the most. 198 00:10:51,200 --> 00:10:56,520 Speaker 1: The Armstrong and Getty Show, Jaorgio podcasts and our hot links. 199 00:11:01,840 --> 00:11:03,600 Speaker 2: The Armstrong and Getty shot. 200 00:11:08,880 --> 00:11:12,120 Speaker 3: I would love to do it. I have my best numbers. Ever, 201 00:11:12,160 --> 00:11:14,000 Speaker 3: it's very terrible. I have my best nubbers. 202 00:11:14,000 --> 00:11:19,199 Speaker 8: Say you read it, am I not running it out 203 00:11:19,360 --> 00:11:20,320 Speaker 8: and you'll have to tell me. 204 00:11:20,400 --> 00:11:21,800 Speaker 3: All I can tell you is that we have a 205 00:11:22,920 --> 00:11:24,320 Speaker 3: great group of people which stay. 206 00:11:24,360 --> 00:11:27,400 Speaker 4: Don't That's Donald Trump the case. You couldn't hear. He's 207 00:11:27,400 --> 00:11:29,400 Speaker 4: on the plane. He's flying around, going to all these 208 00:11:29,400 --> 00:11:34,000 Speaker 4: different countries over in Asia. You could run as vice president? 209 00:11:34,040 --> 00:11:35,360 Speaker 4: He said, yeah, I could do that, but that's a 210 00:11:35,400 --> 00:11:38,000 Speaker 4: little too cute. They're talking about the third term Trump thing, 211 00:11:38,280 --> 00:11:40,440 Speaker 4: and then they ask him like three times if he's 212 00:11:40,520 --> 00:11:42,840 Speaker 4: ruling out running again in twenty twenty eight. How do 213 00:11:42,920 --> 00:11:45,680 Speaker 4: you not get that this is him just getting you 214 00:11:45,720 --> 00:11:48,840 Speaker 4: to dance to his tune to make you leap. MSNBC 215 00:11:49,000 --> 00:11:53,120 Speaker 4: will have ten panels all day long about this doesn't 216 00:11:53,160 --> 00:11:55,320 Speaker 4: rule out a third term? How do you not get 217 00:11:55,600 --> 00:11:58,560 Speaker 4: that he's doing that? Have you ever had like a 218 00:11:58,640 --> 00:12:01,600 Speaker 4: kid doing this to you? Are you using a seven 219 00:12:01,679 --> 00:12:02,040 Speaker 4: year old? 220 00:12:02,120 --> 00:12:05,000 Speaker 3: Do you just ignore them? Yeah? 221 00:12:05,520 --> 00:12:09,480 Speaker 5: Do the Rachel Meadows of the world not get it 222 00:12:09,600 --> 00:12:10,360 Speaker 5: or do they know? 223 00:12:10,640 --> 00:12:14,160 Speaker 3: But their viewers lap it up. Your audience likes it 224 00:12:14,160 --> 00:12:14,560 Speaker 3: so much. 225 00:12:15,080 --> 00:12:18,000 Speaker 5: Yeah, it's a you know, it's a perpetual motion machine. 226 00:12:18,000 --> 00:12:19,800 Speaker 5: Trump loves them. They love Trump. 227 00:12:20,120 --> 00:12:22,880 Speaker 4: So Kamala Harris, I guess hinted enough on BBC that 228 00:12:22,960 --> 00:12:23,760 Speaker 4: she might run again. 229 00:12:23,800 --> 00:12:25,720 Speaker 3: That that got people excited. This is how that went. 230 00:12:26,040 --> 00:12:29,240 Speaker 2: Stories of your baby nieces, Amara and Leila. 231 00:12:30,400 --> 00:12:31,880 Speaker 9: When are they going to see a woman in charge 232 00:12:31,880 --> 00:12:33,880 Speaker 9: in the White House in their lifetime? 233 00:12:33,880 --> 00:12:34,360 Speaker 3: For sure? 234 00:12:35,760 --> 00:12:36,280 Speaker 2: Could it be you? 235 00:12:37,120 --> 00:12:37,640 Speaker 3: Possibly? 236 00:12:39,000 --> 00:12:40,200 Speaker 10: Have you made a decision yet? 237 00:12:40,320 --> 00:12:40,800 Speaker 9: No, I have not. 238 00:12:41,280 --> 00:12:44,360 Speaker 2: But you say in your book, I'm not done. 239 00:12:44,480 --> 00:12:47,960 Speaker 9: That is correct. I am not done. I have lived 240 00:12:48,200 --> 00:12:52,040 Speaker 9: my entire career a life of service, and it's in 241 00:12:52,080 --> 00:12:55,440 Speaker 9: my bones and there are many ways to serve. I've 242 00:12:55,520 --> 00:12:58,520 Speaker 9: not decided yet what I will do in the future 243 00:12:58,720 --> 00:13:00,839 Speaker 9: beyond what I'm doing right now. 244 00:13:01,520 --> 00:13:03,000 Speaker 4: I've known a lot of people in my life that 245 00:13:03,040 --> 00:13:06,079 Speaker 4: actually do dedicate their lives to public service, either as 246 00:13:06,160 --> 00:13:08,880 Speaker 4: their career or like as a hobby. You know, anybody 247 00:13:08,920 --> 00:13:13,280 Speaker 4: who's coaching Little league or being a boy scout troop 248 00:13:13,360 --> 00:13:16,800 Speaker 4: guy or whatever. But you freaking politicians have become rich 249 00:13:16,840 --> 00:13:20,240 Speaker 4: and famous, sign multi gazillion dollar book deals. 250 00:13:20,400 --> 00:13:23,319 Speaker 3: Don't hit me with you. I'm in a life of service, bulls. 251 00:13:23,520 --> 00:13:26,280 Speaker 3: It makes me angry that you do that. 252 00:13:26,280 --> 00:13:30,040 Speaker 5: That is just so Oh, I'm going to continue my 253 00:13:30,200 --> 00:13:33,720 Speaker 5: service by making a quarter million dollars a year serving 254 00:13:33,760 --> 00:13:36,880 Speaker 5: on the boards of five different corporations, and the however 255 00:13:36,960 --> 00:13:39,000 Speaker 5: many twice a year, however many million. 256 00:13:38,800 --> 00:13:40,439 Speaker 3: Dollars she got from that book she just wrote. 257 00:13:41,320 --> 00:13:44,959 Speaker 4: Anyway, she gets confronted with the idea of her possibly 258 00:13:45,040 --> 00:13:45,600 Speaker 4: running again. 259 00:13:45,880 --> 00:13:48,120 Speaker 10: But you've been very clear that it's a possibility you 260 00:13:48,200 --> 00:13:50,760 Speaker 10: might run again to become president. And in my experience 261 00:13:50,800 --> 00:13:53,560 Speaker 10: interviewing politicians, when someone says I'm not done, it means 262 00:13:53,559 --> 00:13:55,679 Speaker 10: they are thinking seriously about running. But when you look 263 00:13:55,679 --> 00:14:00,400 Speaker 10: at the bookies' odds, they put you as an eider, 264 00:14:00,480 --> 00:14:04,360 Speaker 10: even behind Dwayne the Rock Johnston. I mean, is that 265 00:14:04,559 --> 00:14:05,920 Speaker 10: underestimating you? 266 00:14:07,840 --> 00:14:09,920 Speaker 9: I think there are all kinds of polls that will 267 00:14:09,960 --> 00:14:13,080 Speaker 9: tell you a variety of things. I've never listened to poles. 268 00:14:13,440 --> 00:14:15,320 Speaker 9: If some polls I would have not run for my 269 00:14:15,360 --> 00:14:18,400 Speaker 9: first office or my second office, and I certainly wouldn't 270 00:14:18,400 --> 00:14:19,600 Speaker 9: be sitting here in this interview. 271 00:14:20,440 --> 00:14:24,640 Speaker 5: But the bookies put the odds at for bazillion to one. 272 00:14:25,520 --> 00:14:31,480 Speaker 4: That's not even a real number. I've never believed the 273 00:14:31,520 --> 00:14:33,840 Speaker 4: polls are looked at them. Yeah, when you were losing 274 00:14:33,920 --> 00:14:38,560 Speaker 4: every swing state and every POLEX, you pretended that you should. 275 00:14:38,280 --> 00:14:40,239 Speaker 3: Have taken a glance. Yeah, exactly. 276 00:14:40,440 --> 00:14:42,000 Speaker 4: It might be every once in a while just worth 277 00:14:42,320 --> 00:14:44,680 Speaker 4: taking a quick look. Hey, I'm losing every swing state 278 00:14:44,680 --> 00:14:47,000 Speaker 4: according to the polls. I'll be darned anyway. 279 00:14:47,080 --> 00:14:50,040 Speaker 3: So that's that. I hope she runs. That'd be hilarious. 280 00:14:50,600 --> 00:14:53,640 Speaker 4: Kevin Newsom is going to run, and is you know 281 00:14:53,640 --> 00:14:56,120 Speaker 4: I've got a serious shot of being the nominee. He's 282 00:14:56,160 --> 00:15:00,000 Speaker 4: starting to lay out his first of all, the whole 283 00:15:00,080 --> 00:15:01,600 Speaker 4: question are you going to run or not? And acting 284 00:15:01,640 --> 00:15:03,240 Speaker 4: like that's a big deal. When they finally came and 285 00:15:03,280 --> 00:15:05,920 Speaker 4: say yes, if you're interested in that, good for you. 286 00:15:06,360 --> 00:15:08,160 Speaker 3: So you haven't. Newsom over the weekend said yes he's 287 00:15:08,200 --> 00:15:10,600 Speaker 3: going to run or considering it, and. 288 00:15:10,600 --> 00:15:14,920 Speaker 5: Yes, I plan on being one of the seventeen nobody's 289 00:15:15,080 --> 00:15:16,960 Speaker 5: on a stage early. 290 00:15:16,720 --> 00:15:19,960 Speaker 4: Next year, Yes exactly, And here he is laying out 291 00:15:19,960 --> 00:15:21,200 Speaker 4: his hard scrabble upbringing. 292 00:15:21,840 --> 00:15:24,040 Speaker 8: But also, you know, it was also about paying the 293 00:15:24,080 --> 00:15:27,800 Speaker 8: bills man. And it was just like hustling and and 294 00:15:27,840 --> 00:15:31,640 Speaker 8: so I was out there kind of raising myself, turning 295 00:15:31,640 --> 00:15:35,480 Speaker 8: on the TV started, you know, just getting obsessed, you know, 296 00:15:35,520 --> 00:15:38,600 Speaker 8: sitting there with the you know, the wonderbread and five 297 00:15:38,680 --> 00:15:40,000 Speaker 8: stacks of Hey, you. 298 00:15:39,920 --> 00:15:42,640 Speaker 3: Know, the white story. 299 00:15:44,520 --> 00:15:55,040 Speaker 11: Come every day every day in the backyard, just bouncing 300 00:15:55,040 --> 00:15:58,360 Speaker 11: the basketball, throwing the ball against the wall until the ball. 301 00:15:58,240 --> 00:16:02,000 Speaker 3: Is just like fraying. Man. And that's it whole thing. 302 00:16:02,480 --> 00:16:03,600 Speaker 3: What is he talking about? 303 00:16:04,120 --> 00:16:06,640 Speaker 5: There are some days we are so poor I couldn't 304 00:16:06,800 --> 00:16:10,080 Speaker 5: use new hair gel, and he was used from the 305 00:16:10,120 --> 00:16:10,720 Speaker 5: day before. 306 00:16:11,280 --> 00:16:14,720 Speaker 3: What didn't he grow up in Nancy Pelosi's orbit somehow? Yeah? 307 00:16:14,840 --> 00:16:15,560 Speaker 3: Oh yeah, yeah. 308 00:16:15,600 --> 00:16:18,120 Speaker 5: His family was connected to the Pelosis and I think 309 00:16:18,120 --> 00:16:20,320 Speaker 5: the Gettys and oh yeah. 310 00:16:20,360 --> 00:16:22,520 Speaker 3: But that's once again, like I was saying earlier. 311 00:16:22,240 --> 00:16:24,880 Speaker 5: About paying the bills man, paying the Shardonnaye bill, the 312 00:16:24,960 --> 00:16:28,680 Speaker 5: Pino Noir bill, servants, they had to be paid. 313 00:16:28,800 --> 00:16:30,760 Speaker 4: Who's going to pay the driver? I mean, you know, 314 00:16:30,840 --> 00:16:32,960 Speaker 4: right he picks up and takes you places, somebody's got 315 00:16:33,000 --> 00:16:34,440 Speaker 4: paid the driver, the. 316 00:16:34,440 --> 00:16:37,000 Speaker 5: Nanny, the assistant nanny. It was about paying the bills. 317 00:16:37,320 --> 00:16:39,800 Speaker 5: So I've latched onto a thing with Gavin Newsom. Now 318 00:16:39,800 --> 00:16:43,440 Speaker 5: officially he doesn't say anything. He's like you said, he's 319 00:16:43,480 --> 00:16:46,240 Speaker 5: better than Kamala Harris. It's not laughable word salads where 320 00:16:46,240 --> 00:16:49,080 Speaker 5: everybody mocks it, but he doesn't actually say anything. 321 00:16:49,720 --> 00:16:51,880 Speaker 3: He gets credit for these clips. 322 00:16:53,600 --> 00:16:56,080 Speaker 5: Yeah, but he doesn't think he's going somewhere, but he 323 00:16:56,160 --> 00:16:59,680 Speaker 5: never says it. Then like throws out another three quarters 324 00:16:59,720 --> 00:17:02,080 Speaker 5: of us sentence that never actually land. 325 00:17:01,880 --> 00:17:04,840 Speaker 4: Because he never ever said where he is on trans 326 00:17:04,840 --> 00:17:07,400 Speaker 4: sports thing, he never said anything about it. 327 00:17:07,880 --> 00:17:11,880 Speaker 5: I agree it's about fairness and there are concerns fairness, 328 00:17:11,880 --> 00:17:13,560 Speaker 5: but right there, what did he say there? 329 00:17:14,160 --> 00:17:16,440 Speaker 3: What did he even claim? I don't know what happened there. 330 00:17:16,920 --> 00:17:20,480 Speaker 3: He used to like bounce a ball a lot, or 331 00:17:20,520 --> 00:17:21,119 Speaker 3: have a peanut butter. 332 00:17:21,359 --> 00:17:23,679 Speaker 4: I'd turn on the TV, you know, and have a 333 00:17:23,720 --> 00:17:26,240 Speaker 4: sandwich and what traft MACARONI? 334 00:17:26,400 --> 00:17:32,240 Speaker 5: Geez, okay, you named some fools. 335 00:17:32,280 --> 00:17:36,399 Speaker 2: Jack Armstrong and Joe, The Armstrong. 336 00:17:35,920 --> 00:17:45,080 Speaker 1: And Getty Show, The Armstrong and Getdy Show. 337 00:17:49,440 --> 00:17:53,440 Speaker 12: Kids don't like capitalism, and I think a lot of 338 00:17:53,480 --> 00:17:55,560 Speaker 12: it has to do with social media, the clickbait right 339 00:17:56,320 --> 00:17:59,719 Speaker 12: rage bait works better in social media and gets more 340 00:17:59,760 --> 00:18:03,920 Speaker 12: people attention. And if Mundami is out there saying you're 341 00:18:03,960 --> 00:18:07,959 Speaker 12: getting free housing, you're getting free transportation, you're getting cheaper groceries, 342 00:18:08,080 --> 00:18:10,040 Speaker 12: and that's what they're going to respond positively to. 343 00:18:10,280 --> 00:18:13,199 Speaker 3: Is there any way that can work? No, No, of 344 00:18:13,200 --> 00:18:13,639 Speaker 3: course not. 345 00:18:13,880 --> 00:18:21,000 Speaker 12: No financial problem in America. 346 00:18:21,359 --> 00:18:21,920 Speaker 3: That's great. 347 00:18:22,040 --> 00:18:26,879 Speaker 4: Mark Cuban, one of the most successful capitalists in history 348 00:18:26,920 --> 00:18:29,640 Speaker 4: as a billionaire, saying to Bill Maher when Bill Maher 349 00:18:29,680 --> 00:18:32,040 Speaker 4: asked of that work in New York, say no. 350 00:18:32,520 --> 00:18:33,159 Speaker 3: Of course not. 351 00:18:34,080 --> 00:18:34,119 Speaker 2: No. 352 00:18:34,480 --> 00:18:37,840 Speaker 5: The other guy, whoever it was, oh Andrew Ross Sorkin, 353 00:18:37,920 --> 00:18:41,080 Speaker 5: talking about how we have a financial literacy problem. That's 354 00:18:41,119 --> 00:18:44,080 Speaker 5: one hundred percent correct, absolutely correct. 355 00:18:44,119 --> 00:18:46,520 Speaker 3: Well, because the freaking teachers are socialists. 356 00:18:46,720 --> 00:18:49,200 Speaker 4: So no, they're not going to teach you the financial 357 00:18:49,240 --> 00:18:52,320 Speaker 4: literacy that says, no capitalism free markets are good in 358 00:18:52,359 --> 00:18:56,120 Speaker 4: this way. And here's why rent control and government run 359 00:18:56,160 --> 00:18:58,960 Speaker 4: grocery stores and all these things have been tried. Don't work. 360 00:18:59,080 --> 00:19:00,560 Speaker 4: Your teacher is not going to do that because they 361 00:19:00,600 --> 00:19:02,000 Speaker 4: believe in socialism. 362 00:19:02,359 --> 00:19:02,600 Speaker 1: Right. 363 00:19:03,200 --> 00:19:04,480 Speaker 3: God's interesting. 364 00:19:05,080 --> 00:19:07,320 Speaker 5: You can talk people out of believing in rent control, 365 00:19:07,400 --> 00:19:10,119 Speaker 5: for instance, in three minutes, and three minutes is a 366 00:19:10,119 --> 00:19:11,960 Speaker 5: little luxurious. You give me two and a half, I'm 367 00:19:11,960 --> 00:19:14,000 Speaker 5: pretty sure I can get it done. But if you're 368 00:19:14,000 --> 00:19:16,800 Speaker 5: never exposed to that sort of thinking that again, socialism 369 00:19:16,920 --> 00:19:20,320 Speaker 5: is the greatest scam ever designed, I think. So I'm 370 00:19:20,480 --> 00:19:24,120 Speaker 5: on that topic kind of sort of in the next stuff. 371 00:19:24,160 --> 00:19:26,720 Speaker 4: We can talk about it through Ross Sorkin, who's the 372 00:19:26,840 --> 00:19:29,880 Speaker 4: hero of the left for you know, financial stuff, said 373 00:19:29,960 --> 00:19:31,440 Speaker 4: no it can't. 374 00:19:31,080 --> 00:19:35,800 Speaker 5: Work right, right, Yeah, So this is kind of a 375 00:19:36,200 --> 00:19:39,720 Speaker 5: looking at the left thing having to do with online culture. 376 00:19:39,760 --> 00:19:42,879 Speaker 5: But I came across a piece, really well considered and 377 00:19:42,920 --> 00:19:46,160 Speaker 5: written piece in the Free Press about how a lot 378 00:19:46,200 --> 00:19:51,280 Speaker 5: of young conservatives are getting swept up in really ugly 379 00:19:51,400 --> 00:19:59,120 Speaker 5: stuff online into you know, neo fascism and the whole, like, uh, 380 00:19:59,400 --> 00:20:02,480 Speaker 5: most thing the man is for the whole what's his 381 00:20:02,560 --> 00:20:05,639 Speaker 5: name Cooper who talks to a Tucker and tries to 382 00:20:05,640 --> 00:20:07,840 Speaker 5: claim that Churchill was a bad guy and Hitler was 383 00:20:07,920 --> 00:20:08,800 Speaker 5: misunderstood all. 384 00:20:08,680 --> 00:20:11,120 Speaker 3: Those historian Darryl Cooper, who's not actually. 385 00:20:10,760 --> 00:20:14,679 Speaker 5: He's not an effing historian right exactly, And how a 386 00:20:14,680 --> 00:20:16,399 Speaker 5: lot of young people on the writer are getting swayed 387 00:20:16,400 --> 00:20:19,240 Speaker 5: by this stuff too. So it's not entirely a lefty proposition. 388 00:20:19,320 --> 00:20:23,560 Speaker 5: But the headline in the Wall Street Journal over the weekend, girl, 389 00:20:23,840 --> 00:20:29,640 Speaker 5: take your Crazy pills. Antidepressants recast is a hot lifestyle accessory. 390 00:20:30,200 --> 00:20:34,159 Speaker 5: Influencers tout the drugs, but many unsuspecting followers find the 391 00:20:34,160 --> 00:20:37,400 Speaker 5: side effects take the fun out of life, and they 392 00:20:37,440 --> 00:20:39,640 Speaker 5: give a bunch of examples of like this one stay 393 00:20:39,680 --> 00:20:43,720 Speaker 5: at home mom. She felt lonely, overwhelmed at times, paralyzed 394 00:20:43,720 --> 00:20:47,520 Speaker 5: with anxiety and self doubt, and so she heard a 395 00:20:47,680 --> 00:20:51,840 Speaker 5: former MTV star talk up lexa pro on a podcast. 396 00:20:52,160 --> 00:20:54,840 Speaker 5: She searched for the drug on TikTok her go to 397 00:20:54,960 --> 00:20:59,760 Speaker 5: information source and found hashtag lexa protoc and similar niche 398 00:20:59,800 --> 00:21:02,320 Speaker 5: on on communities where women in their twenties and thirties 399 00:21:02,320 --> 00:21:04,080 Speaker 5: praised the benefits of antidepressants. 400 00:21:04,800 --> 00:21:06,480 Speaker 3: She posted a video asking for help. 401 00:21:06,600 --> 00:21:10,240 Speaker 5: Someone recommended a telehealth company, She answered a quick questionnaire, 402 00:21:10,280 --> 00:21:14,320 Speaker 5: and an online nurse protect practitioner slash drug dealer prescribed 403 00:21:14,320 --> 00:21:15,680 Speaker 5: a generic version of lexipro. 404 00:21:15,760 --> 00:21:18,800 Speaker 3: Bottle arrived a couple of days later, and then this gal. 405 00:21:18,800 --> 00:21:22,600 Speaker 4: Wow, that's that easy to get on the SSRIs. I mean, 406 00:21:22,640 --> 00:21:25,399 Speaker 4: most doctors are gonna throw it at you anyway, based 407 00:21:25,400 --> 00:21:28,240 Speaker 4: on my experience. But she didn't even have to leave 408 00:21:28,240 --> 00:21:28,919 Speaker 4: her house. 409 00:21:29,680 --> 00:21:33,160 Speaker 5: So she immediately starts posting TikTok videos of herself running 410 00:21:33,160 --> 00:21:35,840 Speaker 5: to the mailbox for a pill package, taking a dose, 411 00:21:36,000 --> 00:21:40,119 Speaker 5: using such hashtags as lexipro, batties and get help Mama. 412 00:21:40,480 --> 00:21:42,760 Speaker 5: In the months that followed, she gushed over the pills 413 00:21:42,800 --> 00:21:47,760 Speaker 5: to her thousands of followers. For a time, she belonged 414 00:21:47,800 --> 00:21:50,680 Speaker 5: to a social media movement that's given antidepressants a makeover 415 00:21:50,760 --> 00:21:54,920 Speaker 5: from a stigmatized medicine to a healthy lifestyle accessory, friend 416 00:21:55,000 --> 00:21:57,119 Speaker 5: lightened and empowered young women. 417 00:21:57,240 --> 00:21:59,280 Speaker 4: When did it get stigmatized? I must have missed that 418 00:21:59,359 --> 00:22:02,960 Speaker 4: because zillions of Americans are on it. Yeah, well it's 419 00:22:02,960 --> 00:22:05,400 Speaker 4: gotten less stigmatized. But here's my favorite part. 420 00:22:05,960 --> 00:22:09,800 Speaker 5: Millennial and Gen Z influencers, some paid by telehealth companies, 421 00:22:10,040 --> 00:22:17,680 Speaker 5: evangelize antidepressants on TikTok and Instagram using hashtags like live laugh, lexapro, lexapro, 422 00:22:17,840 --> 00:22:23,520 Speaker 5: girly lexa ho, and zooft gang lexeho. I know, recasting 423 00:22:23,520 --> 00:22:28,880 Speaker 5: the medications as pop culture touchstones and on TikTok hashtag 424 00:22:28,920 --> 00:22:33,600 Speaker 5: antidepressants has surpassed one point three billion views, etc. Then 425 00:22:33,640 --> 00:22:38,120 Speaker 5: they go into this list of you know, attractive young 426 00:22:38,160 --> 00:22:41,560 Speaker 5: women and Stato moms that tout the benefits of the 427 00:22:41,600 --> 00:22:44,040 Speaker 5: medicine and get thousands of followers and talk thousands of 428 00:22:44,080 --> 00:22:47,520 Speaker 5: people into doing it, who they then give them up 429 00:22:47,600 --> 00:22:50,720 Speaker 5: and wean themselves off because it makes them miserable and 430 00:22:50,840 --> 00:22:54,600 Speaker 5: ruins their lives. But they do that pretty quickly or 431 00:22:54,720 --> 00:22:58,040 Speaker 5: quit it pretty quietly, rather and the videos of hey, 432 00:22:58,160 --> 00:23:01,399 Speaker 5: here's my actual long term experience, those don't get nearly 433 00:23:01,400 --> 00:23:01,840 Speaker 5: as many of you. 434 00:23:02,119 --> 00:23:02,720 Speaker 3: I'm sure, that's sure. 435 00:23:02,760 --> 00:23:05,720 Speaker 4: I know plenty of people that are on SSRIs who 436 00:23:05,720 --> 00:23:07,280 Speaker 4: swear by them and are happy with them. But if 437 00:23:07,320 --> 00:23:10,760 Speaker 4: you are put on them or go on them and 438 00:23:10,800 --> 00:23:14,000 Speaker 4: you don't need it, I guess it makes you really 439 00:23:14,119 --> 00:23:18,480 Speaker 4: flat and life feels quite unpleasant. 440 00:23:18,240 --> 00:23:22,600 Speaker 5: Right, crushes your libido, weight gain, et cetera. Just yeah, 441 00:23:22,680 --> 00:23:26,800 Speaker 5: everything is kind of flattened. So anyway, I just thought, again, 442 00:23:27,160 --> 00:23:33,880 Speaker 5: this is the the democratization of ideas, where an idea 443 00:23:33,960 --> 00:23:37,159 Speaker 5: can reach millions of people worldwide, when if it was 444 00:23:37,240 --> 00:23:41,000 Speaker 5: just happening in your town, the person you know selling 445 00:23:41,000 --> 00:23:42,760 Speaker 5: it would be told over and over again that's a 446 00:23:42,800 --> 00:23:47,600 Speaker 5: bad idea, and probably let it drop. And on a 447 00:23:47,640 --> 00:23:50,960 Speaker 5: similar topic, I found this really really interesting. Who did 448 00:23:51,000 --> 00:24:00,439 Speaker 5: this twenty twenty four Presidential Election Study BIG Survey, mental 449 00:24:00,440 --> 00:24:03,080 Speaker 5: health challenges are an important part of. 450 00:24:02,960 --> 00:24:05,040 Speaker 3: My identity. 451 00:24:07,160 --> 00:24:14,720 Speaker 5: Among boomer males, UH, seventy three percent of them essentially said, 452 00:24:15,960 --> 00:24:19,080 Speaker 5: no matter what psychological challenges I face, I will not 453 00:24:19,240 --> 00:24:20,280 Speaker 5: let them define me. 454 00:24:20,960 --> 00:24:24,200 Speaker 3: Right. That used to be a feeling for most people 455 00:24:24,320 --> 00:24:24,680 Speaker 3: is like. 456 00:24:26,200 --> 00:24:30,000 Speaker 4: You, you would not allow yourself to believe you have 457 00:24:30,040 --> 00:24:32,359 Speaker 4: any of those things. And then even if it were true, proven, 458 00:24:32,400 --> 00:24:35,879 Speaker 4: you'd want to kind of keep it on the down 459 00:24:35,920 --> 00:24:38,480 Speaker 4: low because he didn't want it to be your thing. 460 00:24:39,320 --> 00:24:44,199 Speaker 5: Well, and I wouldn't want people to look at me 461 00:24:44,280 --> 00:24:46,920 Speaker 5: and say, oh, there's Joe he has anxiety. 462 00:24:47,200 --> 00:24:49,800 Speaker 3: Right, I mean, I know there's. 463 00:24:49,400 --> 00:24:52,480 Speaker 5: A dozen things, maybe fifty things I'd rather have you say, 464 00:24:53,480 --> 00:24:56,800 Speaker 5: And there's Joey's nahole. I mean, for instance, it's better 465 00:24:56,920 --> 00:24:58,200 Speaker 5: anyway Joe man. 466 00:24:58,280 --> 00:24:59,159 Speaker 3: Can he dance? 467 00:25:00,080 --> 00:25:00,119 Speaker 1: So? 468 00:25:00,680 --> 00:25:02,760 Speaker 3: Please? Like a stare? Please? 469 00:25:03,600 --> 00:25:06,520 Speaker 5: So, Seventy three percent of boomer males essentially said, no 470 00:25:06,560 --> 00:25:08,960 Speaker 5: matter what psychological challenges I face, I will not let 471 00:25:08,960 --> 00:25:13,399 Speaker 5: them define me. Seventy two percent of gen Z females 472 00:25:13,600 --> 00:25:17,399 Speaker 5: said essentially, mental illness is an important part of my identity. 473 00:25:18,720 --> 00:25:23,320 Speaker 5: Seventy two percent said mental health challenges are an important 474 00:25:23,320 --> 00:25:24,480 Speaker 5: part of my identity. 475 00:25:24,840 --> 00:25:28,800 Speaker 4: Yeah, that has been my experience in a variety of 476 00:25:28,840 --> 00:25:34,840 Speaker 4: ways with that generation in hiring for sitters in a 477 00:25:34,920 --> 00:25:38,320 Speaker 4: variety of different things, is everybody explains really early on 478 00:25:38,400 --> 00:25:41,399 Speaker 4: what they're I have anxiety, so I have to do this, 479 00:25:41,520 --> 00:25:44,240 Speaker 4: or I've OCD or whatever. 480 00:25:43,920 --> 00:25:46,000 Speaker 3: It is, right right? 481 00:25:47,640 --> 00:25:50,760 Speaker 5: Both gen Z men and women view their mental health 482 00:25:50,800 --> 00:25:52,880 Speaker 5: as an important part of their identity at a rate 483 00:25:52,960 --> 00:25:55,679 Speaker 5: over five times that of boomers. 484 00:25:55,720 --> 00:25:56,280 Speaker 3: For instance. 485 00:25:56,480 --> 00:26:01,320 Speaker 4: Well, unless you're older and you grew up in that culture, 486 00:26:03,240 --> 00:26:04,680 Speaker 4: how are you ever going to go through a rough 487 00:26:04,720 --> 00:26:07,520 Speaker 4: patch in your life now where you wouldn't take some 488 00:26:07,520 --> 00:26:09,199 Speaker 4: sort of drug for it, Because I mean, all your 489 00:26:09,200 --> 00:26:09,840 Speaker 4: friends are. 490 00:26:10,560 --> 00:26:13,000 Speaker 3: And rough patches. I've had rough patches that lasted a 491 00:26:13,040 --> 00:26:14,680 Speaker 3: freaking long time. I'll tell you that. 492 00:26:15,040 --> 00:26:18,760 Speaker 4: Sometimes they do, oh yeah, sometimes my own decisions. 493 00:26:19,200 --> 00:26:22,840 Speaker 5: I've witnessed young women bonding over their mental health challenges. 494 00:26:24,240 --> 00:26:28,480 Speaker 5: It's part of the whole, you know, lionization of the 495 00:26:28,560 --> 00:26:32,919 Speaker 5: victim victim culture in essence, and it's supported online in 496 00:26:32,920 --> 00:26:34,800 Speaker 5: a lot of ways that are really really interesting. 497 00:26:35,160 --> 00:26:37,480 Speaker 4: Maybe that would be a lesson that they teach more 498 00:26:37,520 --> 00:26:40,840 Speaker 4: people as you might go through not might you will 499 00:26:40,880 --> 00:26:43,280 Speaker 4: go through many periods of your life where there are 500 00:26:43,320 --> 00:26:46,880 Speaker 4: weeks or months or maybe half a year where you're 501 00:26:46,960 --> 00:26:50,800 Speaker 4: really down because this or that happened, And then you'll 502 00:26:50,800 --> 00:26:52,760 Speaker 4: come out of it, right. 503 00:26:52,480 --> 00:26:54,639 Speaker 5: But I'll feel like I don't know what the point 504 00:26:54,680 --> 00:26:57,280 Speaker 5: is because you're on a journey to discovering what the 505 00:26:57,320 --> 00:27:00,400 Speaker 5: point is, and sometimes that takes a long time. That's 506 00:27:00,440 --> 00:27:04,360 Speaker 5: not mental illness, that's life. Yeah, but I think it's 507 00:27:04,560 --> 00:27:07,920 Speaker 5: worth going back to the previous article that was pointing 508 00:27:07,960 --> 00:27:10,800 Speaker 5: out that a lot of these people are sponsored by 509 00:27:10,840 --> 00:27:14,840 Speaker 5: the people selling the pills, of course, Yeah, but they 510 00:27:14,920 --> 00:27:18,160 Speaker 5: dress it up in like, there's this one influencer, what's 511 00:27:18,160 --> 00:27:22,160 Speaker 5: her name, cute chick, you know, dressed kind of sexy, 512 00:27:22,560 --> 00:27:29,000 Speaker 5: she's funny, she's wacky. Elena Davis, thirty five year old influencer, 513 00:27:29,040 --> 00:27:31,680 Speaker 5: made this video in twenty twenty three of her dress 514 00:27:31,800 --> 00:27:34,359 Speaker 5: like she's going out to the club, laughing and taking 515 00:27:34,359 --> 00:27:37,600 Speaker 5: her pills and making a big deal of how great 516 00:27:37,600 --> 00:27:41,200 Speaker 5: it is. She weaned herself completely off them a couple 517 00:27:41,240 --> 00:27:47,560 Speaker 5: of years later because they essentially screwed up her life. Yeah, 518 00:27:47,640 --> 00:27:50,040 Speaker 5: good lord, the internet is a bad place to be. 519 00:27:50,200 --> 00:27:50,760 Speaker 5: Did plug it? 520 00:27:50,840 --> 00:27:52,800 Speaker 3: Did the laws change around medicine? 521 00:27:52,840 --> 00:27:55,760 Speaker 4: Somewhere where these doctors that have never met you can 522 00:27:55,960 --> 00:27:57,200 Speaker 4: prescribe you things that you. 523 00:27:57,200 --> 00:27:58,320 Speaker 3: Used to have to go see here. 524 00:27:58,960 --> 00:27:59,280 Speaker 1: Yeah. 525 00:27:59,400 --> 00:28:03,640 Speaker 3: Yeah, there's been kind of an evolution through the de evolution, because. 526 00:28:03,400 --> 00:28:05,159 Speaker 4: There's all kinds of drugs you can get on just 527 00:28:05,200 --> 00:28:08,440 Speaker 4: by basically you just pay for them and you check 528 00:28:08,480 --> 00:28:11,000 Speaker 4: some boxes on a form and they say, sure, we'll 529 00:28:11,040 --> 00:28:11,960 Speaker 4: send them to you. 530 00:28:11,960 --> 00:28:14,520 Speaker 5: You've never met me, you haven't taken any blood work. 531 00:28:15,400 --> 00:28:17,560 Speaker 5: That reminds me I gotta pop my daily viagra. I 532 00:28:17,640 --> 00:28:20,320 Speaker 5: like to be ready, you know, like the boy scouts say, 533 00:28:20,359 --> 00:28:20,920 Speaker 5: be prepared. 534 00:28:21,000 --> 00:28:22,600 Speaker 3: Huh, well, that's interesting. 535 00:28:23,560 --> 00:28:34,679 Speaker 2: Arm the armstrong and getting shot coming up in a moment. 536 00:28:35,640 --> 00:28:39,440 Speaker 5: Breathing through our butts has been declared safe after the 537 00:28:39,480 --> 00:28:44,000 Speaker 5: first human trial. I'm not laughing, I'm coughing actually a 538 00:28:44,040 --> 00:28:46,160 Speaker 5: little both. There was a human trial. 539 00:28:47,920 --> 00:28:51,840 Speaker 4: Yes, can if I like, if I squeeze really hard, 540 00:28:51,840 --> 00:28:52,880 Speaker 4: can I breathe through. 541 00:28:52,720 --> 00:28:56,320 Speaker 5: My You try hard enough? That's right, everybody try No. 542 00:28:56,960 --> 00:28:59,640 Speaker 5: I'll explain a minute or two. I found this really interesting. 543 00:28:59,640 --> 00:29:01,760 Speaker 5: I'm aware of exhaling that way. A lot of people 544 00:29:01,800 --> 00:29:05,240 Speaker 5: do that and they shouldn't. This is from the Times 545 00:29:05,280 --> 00:29:10,200 Speaker 5: of London. Female spies are waging sex warfare to steal 546 00:29:10,240 --> 00:29:14,240 Speaker 5: Silicon Valley secrets. China and Russia are both sending attractive 547 00:29:14,240 --> 00:29:18,640 Speaker 5: women to seduce tech workers, even marrying and having children 548 00:29:18,720 --> 00:29:22,880 Speaker 5: with their targets in a desperate attempt to get ahead 549 00:29:22,920 --> 00:29:25,680 Speaker 5: and stay ahead Tech and AI. 550 00:29:26,360 --> 00:29:28,240 Speaker 4: You're not a sex worker. If you actually married them 551 00:29:28,280 --> 00:29:30,520 Speaker 4: and have children, you're a I don't know what you are. 552 00:29:30,920 --> 00:29:35,280 Speaker 5: You're spy. Yeah, oh yeah, nobody's calling them sex workers. 553 00:29:35,440 --> 00:29:42,640 Speaker 5: They're spies. Chinese and Russian operatives are using sex warfare 554 00:29:42,680 --> 00:29:47,240 Speaker 5: to seduce and spy on Silicon Valley professionals. James Mulvanan, 555 00:29:47,360 --> 00:29:51,760 Speaker 5: the chief intelligence officer of amer Consulting, which provides risk 556 00:29:52,120 --> 00:29:55,640 Speaker 5: assessments for American companies investing in China, said he was 557 00:29:55,760 --> 00:29:58,560 Speaker 5: one of the many men recently targeted by Fordes seductrisses 558 00:29:58,560 --> 00:30:00,360 Speaker 5: hoping to gain access to USC rits. 559 00:30:00,720 --> 00:30:01,000 Speaker 3: Quote. 560 00:30:01,000 --> 00:30:04,600 Speaker 5: I'm getting an enormous number of very sophisticated LinkedIn requests 561 00:30:04,720 --> 00:30:07,120 Speaker 5: from the same type of attractive young Chinese women. It 562 00:30:07,120 --> 00:30:12,600 Speaker 5: seems to have really ramped up recently, he described at 563 00:30:11,960 --> 00:30:16,800 Speaker 5: how At a business conference on Chinese investment risks hosted 564 00:30:17,000 --> 00:30:21,520 Speaker 5: in Virginia last week, two attractive Chinese women showed up 565 00:30:21,560 --> 00:30:24,320 Speaker 5: and attempted to gain entry. We didn't let them in, 566 00:30:24,320 --> 00:30:26,080 Speaker 5: but they had all the information about the event and 567 00:30:26,120 --> 00:30:28,800 Speaker 5: everything else. He said, it's a phenomenon. And now I 568 00:30:28,840 --> 00:30:30,440 Speaker 5: will tell you it's really weird. 569 00:30:30,480 --> 00:30:30,720 Speaker 3: Wow. 570 00:30:30,800 --> 00:30:33,560 Speaker 4: That is a heck of a commitment to your country 571 00:30:34,440 --> 00:30:38,080 Speaker 4: that you're going to meet a guy, woo him, marry him, 572 00:30:38,520 --> 00:30:42,680 Speaker 4: have kids with him. I mean, that's really caring about 573 00:30:42,680 --> 00:30:44,840 Speaker 4: your Wow. 574 00:30:45,600 --> 00:30:49,360 Speaker 3: Or you're well, you're in the spy service. 575 00:30:51,920 --> 00:30:56,440 Speaker 5: I've read various autobiographies of both men and women who 576 00:30:56,440 --> 00:30:58,800 Speaker 5: are in the KGB and how you get recruited young 577 00:30:58,880 --> 00:31:00,400 Speaker 5: and your strange that. 578 00:31:01,120 --> 00:31:04,680 Speaker 4: The all day, every day of raising a kid. If 579 00:31:04,720 --> 00:31:06,480 Speaker 4: you've done it, it's a lot of work. It's your 580 00:31:06,520 --> 00:31:09,440 Speaker 4: whole life. I mean, you're doing all that as part 581 00:31:09,440 --> 00:31:10,520 Speaker 4: of your being a spy. 582 00:31:10,600 --> 00:31:10,920 Speaker 3: Wow. 583 00:31:11,640 --> 00:31:17,080 Speaker 5: Right, let's see. Oh here's the interesting part. And I've 584 00:31:17,120 --> 00:31:19,440 Speaker 5: been trying to tell you this for a long time. 585 00:31:19,480 --> 00:31:24,600 Speaker 5: Both Russia and the CCP are using ordinary citizens, investors, cryptoanalysts, businessmen, 586 00:31:24,720 --> 00:31:28,800 Speaker 5: academics to target their American counterparts rather than trained agents, 587 00:31:29,000 --> 00:31:32,040 Speaker 5: which makes the esponars harder to spot. Quote, we're not 588 00:31:32,160 --> 00:31:35,680 Speaker 5: chasing a KGB agent in a smoky guesthouse in Germany anymore, 589 00:31:35,840 --> 00:31:38,040 Speaker 5: said one senior US counter intelligence official. 590 00:31:38,240 --> 00:31:38,560 Speaker 3: Quote. 591 00:31:38,560 --> 00:31:41,440 Speaker 5: Our adversaries, particularly the Chinese, are using a whole of 592 00:31:41,480 --> 00:31:45,040 Speaker 5: society approach to exploit all aspects of our technology and 593 00:31:45,120 --> 00:31:45,920 Speaker 5: Western talent. 594 00:31:46,360 --> 00:31:49,200 Speaker 3: Can you imagine you find out your wife and mother 595 00:31:49,320 --> 00:31:52,240 Speaker 3: of your two kids, you've been married for ten years, 596 00:31:53,760 --> 00:31:57,360 Speaker 3: only did it to spy for the Communists? Yeah? I know, boy, 597 00:31:57,400 --> 00:32:00,800 Speaker 3: would that be rock your world show attering? Yeah. 598 00:32:00,920 --> 00:32:02,920 Speaker 5: I want to get to the breathing through your butt 599 00:32:02,960 --> 00:32:04,800 Speaker 5: thing in a bit, but you don't have time because. 600 00:32:04,600 --> 00:32:05,680 Speaker 3: I want to wrap this up. 601 00:32:06,320 --> 00:32:12,080 Speaker 5: Yeah, anyway, what was I going to say? And we'll 602 00:32:12,120 --> 00:32:15,440 Speaker 5: not with that attitude, you can't. I've told this story 603 00:32:15,480 --> 00:32:17,400 Speaker 5: many times, but it's worth retelling it. It was about 604 00:32:17,440 --> 00:32:21,000 Speaker 5: a decade ago that the FBI went to a particular 605 00:32:21,120 --> 00:32:25,719 Speaker 5: large California university and their counterintelligence folks warned the president 606 00:32:25,760 --> 00:32:28,080 Speaker 5: of the university, you have a lot of Chinese agents 607 00:32:28,120 --> 00:32:31,720 Speaker 5: on your campus masquerading as researchers. And they were told, quote, 608 00:32:31,760 --> 00:32:37,880 Speaker 5: get off my campus, you racists. There are thousands, tens 609 00:32:37,920 --> 00:32:40,880 Speaker 5: of thousands Chinese nationals in the United States right now 610 00:32:40,960 --> 00:32:43,440 Speaker 5: doing the work of the Communist Party. Spending all day, 611 00:32:43,560 --> 00:32:45,960 Speaker 5: every day doing the work of the Communist Party. I 612 00:32:46,040 --> 00:32:48,320 Speaker 5: stand by those words. Ah so a couple of notes 613 00:32:48,360 --> 00:32:52,200 Speaker 5: on Haavid supposedly the world's greatest university, which has beclowned 614 00:32:52,240 --> 00:32:55,120 Speaker 5: itself completely. I thought this was interesting. And Harvard PhD 615 00:32:55,200 --> 00:32:59,600 Speaker 5: programs are collapsing amidst amid budget woes, Faculty of Arts 616 00:32:59,640 --> 00:33:02,680 Speaker 5: and Science and says just to slash the number of 617 00:33:02,680 --> 00:33:06,280 Speaker 5: PhD student admissions by more seventy five percent in the 618 00:33:06,320 --> 00:33:09,640 Speaker 5: Science division and sixty percent in the Arts and Humanities 619 00:33:09,680 --> 00:33:11,000 Speaker 5: division in the past two years. 620 00:33:12,440 --> 00:33:15,800 Speaker 4: How much does the world need more PhDs in most areas? 621 00:33:16,440 --> 00:33:16,600 Speaker 3: You know? 622 00:33:16,720 --> 00:33:20,080 Speaker 5: Quoting Nelly Bowls again, the PhD racket has always been 623 00:33:20,080 --> 00:33:23,080 Speaker 5: a weird one. These schools push their smartest, most annoyingly 624 00:33:23,120 --> 00:33:26,320 Speaker 5: ambitious kids to get a PhD. During that PhD, the 625 00:33:26,320 --> 00:33:28,360 Speaker 5: guys do all the work of being a paid professor, 626 00:33:28,440 --> 00:33:31,320 Speaker 5: teaching courses, grading papers, but they're paid next to nothing. 627 00:33:31,600 --> 00:33:33,160 Speaker 5: Then the clincher is that at the end there are 628 00:33:33,160 --> 00:33:36,400 Speaker 5: no jobs available, maybe one English Department job in Idaho 629 00:33:36,440 --> 00:33:38,680 Speaker 5: for a group of three hundred to battle to the 630 00:33:38,760 --> 00:33:41,320 Speaker 5: death over. So I support this belt tightening. 631 00:33:41,360 --> 00:33:41,800 Speaker 3: We will have. 632 00:33:41,760 --> 00:33:45,400 Speaker 5: About five thousand fewer Antifa soldiers produced each year. They 633 00:33:45,480 --> 00:33:49,320 Speaker 5: might even spend their twenties making money. Love that well, 634 00:33:49,400 --> 00:33:54,040 Speaker 5: said Nelly, speaking of Havid. They say they the university 635 00:33:54,200 --> 00:33:57,040 Speaker 5: won't say whether they will sanction. A dean who defended 636 00:33:57,120 --> 00:34:01,440 Speaker 5: rioting and looting as legitimate parts of democracy, described whiteness 637 00:34:01,480 --> 00:34:07,400 Speaker 5: as a self described self destructive ideology, celebrated Charlie Kirk's death, 638 00:34:07,640 --> 00:34:11,879 Speaker 5: said it was acceptable to wish death on Donald Trump, etc. 639 00:34:12,239 --> 00:34:12,560 Speaker 4: Etc. 640 00:34:14,400 --> 00:34:18,920 Speaker 3: This guy is unbelievable. What's my favorite? 641 00:34:19,520 --> 00:34:21,840 Speaker 5: In the following the death of George Floyd, he tweeted, 642 00:34:22,040 --> 00:34:24,840 Speaker 5: rioting and looting our parts of democracy, just like voting 643 00:34:24,960 --> 00:34:28,600 Speaker 5: in Marching Wow. A month before he got his gig. 644 00:34:28,760 --> 00:34:31,600 Speaker 5: Last year, he posted on Instagram that people should love 645 00:34:31,640 --> 00:34:35,200 Speaker 5: each other and hate the police. Describe whiteness as a 646 00:34:35,200 --> 00:34:38,320 Speaker 5: self destructive ideology that annihilates everyone around it, like in 647 00:34:38,400 --> 00:34:40,919 Speaker 5: Trump to Adolf Hitler then appeared to celebrate the death 648 00:34:40,960 --> 00:34:45,440 Speaker 5: of Rush Limbaugh, et cetera. Harvard has no comments on it, 649 00:34:45,760 --> 00:34:51,640 Speaker 5: and the communist himself, Gregory Davis is his name, said 650 00:34:52,560 --> 00:34:55,360 Speaker 5: those posts do not reflect my current thinking or beliefs. 651 00:34:56,960 --> 00:34:57,560 Speaker 3: One of them was. 652 00:34:57,640 --> 00:35:03,120 Speaker 5: Last year, Oh, I'm a kid Marxists sly, they lie, 653 00:35:03,200 --> 00:35:06,040 Speaker 5: and they lie and they lie. And then Fox New 654 00:35:06,080 --> 00:35:09,560 Speaker 5: has had a panel with conservative Harvard students that was 655 00:35:09,680 --> 00:35:12,080 Speaker 5: really interesting. Maybe we could find some of the audio 656 00:35:12,719 --> 00:35:15,320 Speaker 5: for it. But they're speaking out about what it's really 657 00:35:15,480 --> 00:35:19,960 Speaker 5: like on campus right now, where the university has said, no, 658 00:35:20,000 --> 00:35:22,120 Speaker 5: we're going to be fair, but in practice they're not, 659 00:35:23,239 --> 00:35:25,360 Speaker 5: said one quote. A good example of this would be 660 00:35:25,400 --> 00:35:27,960 Speaker 5: like something like the university is very strict on not 661 00:35:28,200 --> 00:35:31,080 Speaker 5: co sponsoring events with outside groups when it comes to 662 00:35:31,120 --> 00:35:33,640 Speaker 5: the Republican Club, let's say, putting on events. But the 663 00:35:33,680 --> 00:35:36,480 Speaker 5: Democrats get away with that all the time, no questions asked, 664 00:35:37,280 --> 00:35:40,280 Speaker 5: and the students described what they believed to be selective 665 00:35:40,360 --> 00:35:41,920 Speaker 5: enforcement of various campus rules. 666 00:35:41,960 --> 00:35:42,400 Speaker 3: Quote. 667 00:35:42,520 --> 00:35:44,839 Speaker 5: There have been other things like the Republican Club puts 668 00:35:44,840 --> 00:35:46,600 Speaker 5: on a big event and they send a bunch of 669 00:35:46,680 --> 00:35:51,600 Speaker 5: administrators to really enforce fire code rules, making sure the 670 00:35:51,640 --> 00:35:54,600 Speaker 5: audience is sitting properly in their seats, whereas Democrats can 671 00:35:54,640 --> 00:35:57,000 Speaker 5: host events, the whole place can be jammed pack and 672 00:35:57,040 --> 00:36:00,160 Speaker 5: there's no concern whatsoever. That's the opposite of way to 673 00:36:00,239 --> 00:36:02,520 Speaker 5: university ought to be polar opposite to it. 674 00:36:03,560 --> 00:36:09,640 Speaker 1: Jack Armstrong and Joe Daddy the Armstrong and Daddy Joe