1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,200 --> 00:00:07,640 Speaker 1: Washington Broadcast Center. 3 00:00:07,800 --> 00:00:10,280 Speaker 2: Jack Armstrong and Joe Getty. 4 00:00:10,200 --> 00:00:17,759 Speaker 3: Armstrong and Getty and no Kee Armstrong and Getty, Strong 5 00:00:17,880 --> 00:00:22,479 Speaker 3: and Art home enjoying the gifts we got for Christmas. 6 00:00:22,560 --> 00:00:24,439 Speaker 2: I got a pony finally, so I just been riding 7 00:00:24,440 --> 00:00:25,280 Speaker 2: it all around the house. 8 00:00:25,400 --> 00:00:27,880 Speaker 4: I'm not gonna kid you. I got the post Christmas letdown. 9 00:00:28,120 --> 00:00:30,760 Speaker 4: I'm down, man, I'm sad. I'm into the nog heavily. 10 00:00:31,160 --> 00:00:33,960 Speaker 4: Things are not going where I'm spiraling anyway. Hope you're 11 00:00:33,960 --> 00:00:38,760 Speaker 4: doing well. We've got some carefully selected curated Armstrong and 12 00:00:38,800 --> 00:00:41,919 Speaker 4: Getty segments. It's the Armstrong and Getty replay. Let's all 13 00:00:42,000 --> 00:00:42,640 Speaker 4: enjoy it together. 14 00:00:42,960 --> 00:00:43,760 Speaker 3: Takes Seth said. 15 00:00:43,840 --> 00:00:47,599 Speaker 5: China was quote credibly preparing for an invasion of Taiwan, 16 00:00:48,040 --> 00:00:51,599 Speaker 5: with Chinese forces staging regular drills around the island and 17 00:00:51,640 --> 00:00:54,040 Speaker 5: the use of force has not been ruled out. 18 00:00:54,240 --> 00:00:57,160 Speaker 2: It's amazing to me what stories get attention and what 19 00:00:57,480 --> 00:01:01,360 Speaker 2: stories just don't grab people's attention. But yeah, Hexath gave 20 00:01:01,360 --> 00:01:04,080 Speaker 2: a speech over the weekend to our Asian partners in 21 00:01:04,160 --> 00:01:07,399 Speaker 2: the Wall Street Journal version of it certainly. 22 00:01:08,520 --> 00:01:11,840 Speaker 3: Grabbed my attention. A little quote from Hexath. 23 00:01:11,920 --> 00:01:14,840 Speaker 2: To be clear, any attempt by communist China to conquer 24 00:01:14,920 --> 00:01:18,760 Speaker 2: Taiwan by force would result in devastating consequences for the 25 00:01:18,760 --> 00:01:20,039 Speaker 2: Indo Pacific in the world. 26 00:01:20,200 --> 00:01:21,560 Speaker 3: We're not going to sugarcoat it. 27 00:01:21,640 --> 00:01:24,360 Speaker 2: The threat China poses is real and it could be imminent, 28 00:01:25,000 --> 00:01:27,000 Speaker 2: and saying that we will allow it, it will not 29 00:01:27,080 --> 00:01:30,399 Speaker 2: happen on Trump's watch. We have repositioned some sort of 30 00:01:30,880 --> 00:01:35,280 Speaker 2: anti ship killing missiles close by, to which China said, 31 00:01:35,360 --> 00:01:36,440 Speaker 2: that's really really awful. 32 00:01:36,480 --> 00:01:37,400 Speaker 3: You shouldn't be doing that. 33 00:01:37,560 --> 00:01:41,080 Speaker 2: But I mean, this is some serious bluster between the 34 00:01:41,120 --> 00:01:43,560 Speaker 2: two most powerful countries in the world that at some 35 00:01:43,680 --> 00:01:44,800 Speaker 2: point are going to go to war. 36 00:01:45,600 --> 00:01:48,559 Speaker 4: I was just reading those rating about those anti ship 37 00:01:49,000 --> 00:01:53,480 Speaker 4: munitions that are so interesting. They're mounted on remote controlled trucks. 38 00:01:54,200 --> 00:01:57,200 Speaker 4: They need no humans, so somebody in a bunker far 39 00:01:57,240 --> 00:02:02,400 Speaker 4: away drives these trucks around off missiles, then quickly relocate 40 00:02:02,960 --> 00:02:05,320 Speaker 4: so they can't be you know, hit by return fire. 41 00:02:05,400 --> 00:02:09,480 Speaker 4: It's really quite interesting. We're positioning them in the Philippines 42 00:02:09,520 --> 00:02:14,960 Speaker 4: and similar areas. Yeah, the Sabers are a ratlin no doubt. 43 00:02:14,720 --> 00:02:16,240 Speaker 3: As the Wall Street General rights. 44 00:02:16,240 --> 00:02:19,280 Speaker 2: In recent years, China has built up the world's biggest navy, 45 00:02:19,600 --> 00:02:22,480 Speaker 2: a title once held by the United States, you know 46 00:02:22,520 --> 00:02:24,959 Speaker 2: who held it before the United States, Great Britain. Great 47 00:02:25,000 --> 00:02:28,880 Speaker 2: Britain ruled the seas for a very long time. Then 48 00:02:28,919 --> 00:02:31,120 Speaker 2: it's been US. Is it going to be China in 49 00:02:31,160 --> 00:02:32,920 Speaker 2: the next century. Well, that's what China's hoping. 50 00:02:34,240 --> 00:02:36,960 Speaker 4: Yeah, I'm not sure you'd like their placing of the 51 00:02:37,000 --> 00:02:40,400 Speaker 4: seas anyway. I've found this, I mean, I've been on 52 00:02:40,440 --> 00:02:43,600 Speaker 4: this jihad for a long time, but more and more 53 00:02:43,720 --> 00:02:48,519 Speaker 4: open coverage of the fact that we, the United States 54 00:02:48,600 --> 00:02:52,360 Speaker 4: in the Western world in general fell for an absolutely 55 00:02:52,360 --> 00:02:55,560 Speaker 4: brilliant plan by the Chinese back in the late sixties 56 00:02:55,600 --> 00:03:00,760 Speaker 4: early seventies. They needed help, primarily financial trade from the 57 00:03:00,760 --> 00:03:04,080 Speaker 4: Western world, and came up with an absolutely brilliant plan. 58 00:03:04,800 --> 00:03:10,840 Speaker 4: Let's pretend that we want to westernize and move away 59 00:03:10,880 --> 00:03:15,600 Speaker 4: from communism at our own pace and liberalize in return 60 00:03:15,720 --> 00:03:19,760 Speaker 4: for our investment from the West. And this was absolutely 61 00:03:19,880 --> 00:03:22,040 Speaker 4: deliberate plan. They knew all along that it was not 62 00:03:22,280 --> 00:03:26,360 Speaker 4: sincere although there have been some reformers in you know, 63 00:03:26,400 --> 00:03:28,680 Speaker 4: the last several decades in China who are actually like, 64 00:03:28,720 --> 00:03:30,519 Speaker 4: you know, maybe that's not such a bad idea. But 65 00:03:30,560 --> 00:03:33,520 Speaker 4: then a shijin thing always comes along, and so they 66 00:03:33,600 --> 00:03:37,680 Speaker 4: duped us into opening up the relationship with China, which 67 00:03:38,200 --> 00:03:42,400 Speaker 4: was bad enough, but a great deal of left America 68 00:03:42,600 --> 00:03:46,800 Speaker 4: still hasn't caught on to it, and they are so 69 00:03:47,560 --> 00:03:53,800 Speaker 4: motivated by the need to show openness to other cultures. 70 00:03:54,920 --> 00:03:56,119 Speaker 3: There's Zeno files. 71 00:03:56,280 --> 00:03:58,680 Speaker 4: As I often put it, they still haven't caught on 72 00:03:58,760 --> 00:04:00,760 Speaker 4: that China as a dire threat to the United States 73 00:04:00,800 --> 00:04:01,520 Speaker 4: in our way of life. 74 00:04:01,600 --> 00:04:05,960 Speaker 3: For instance, on universities told the story. 75 00:04:05,800 --> 00:04:09,000 Speaker 4: Many times counterintelligence people came on to a university campus 76 00:04:09,000 --> 00:04:11,480 Speaker 4: said you've got a bunch of Chinese spies on the campus. 77 00:04:12,280 --> 00:04:15,240 Speaker 4: University president said, get off my campus, you racists, and 78 00:04:15,280 --> 00:04:18,800 Speaker 4: that attitude persists headline. Harvard has trained so many Chinese 79 00:04:18,800 --> 00:04:19,760 Speaker 4: communist officials. 80 00:04:19,760 --> 00:04:21,280 Speaker 3: They call it their party school. 81 00:04:21,640 --> 00:04:24,000 Speaker 4: Not like party school, let's get wasted and get laid yo, 82 00:04:25,160 --> 00:04:28,279 Speaker 4: the communist parties school. Oh that's not as good a 83 00:04:28,279 --> 00:04:31,800 Speaker 4: party not nearly. Yeah, in your rank of party schools. 84 00:04:31,880 --> 00:04:35,599 Speaker 4: This is something totally different. ANSU, don't worry, you're safe. 85 00:04:35,720 --> 00:04:37,720 Speaker 2: Who is that comedian? I wish I could remember his 86 00:04:37,800 --> 00:04:39,400 Speaker 2: name because I'd like to give him credit. So funny, 87 00:04:39,440 --> 00:04:41,280 Speaker 2: But anyway, he has a thing he does. On a 88 00:04:41,320 --> 00:04:44,640 Speaker 2: piece of paper he lists best parties. At the bottom 89 00:04:44,720 --> 00:04:48,919 Speaker 2: was search Party Wow. 90 00:04:50,640 --> 00:04:54,200 Speaker 4: The Kennedy School of Government at Havad is favored by 91 00:04:54,360 --> 00:04:59,320 Speaker 4: party cadres seeking career boosts. US schools and one prestigious 92 00:04:59,360 --> 00:05:02,560 Speaker 4: institution in particular, have long offered up and coming Chinese 93 00:05:02,600 --> 00:05:06,680 Speaker 4: Communist officials a place to study governance. Can you imagine 94 00:05:07,920 --> 00:05:13,400 Speaker 4: teaching Communist Party officials about governance so they can twist 95 00:05:13,400 --> 00:05:18,279 Speaker 4: it into totalitarianism? A practice that the Trump administration could 96 00:05:18,440 --> 00:05:19,960 Speaker 4: end with a new effort to keep out what it 97 00:05:19,960 --> 00:05:22,239 Speaker 4: says are Chinese students with Communist Party ties. 98 00:05:22,560 --> 00:05:24,880 Speaker 3: But for decades the party. 99 00:05:24,600 --> 00:05:28,080 Speaker 4: Has sent thousands of mid career and senior bureaucrats to 100 00:05:28,120 --> 00:05:32,159 Speaker 4: pursue executive training in postgraduate studies on US campuses, with 101 00:05:32,279 --> 00:05:35,480 Speaker 4: Harvard University a coveted destination, describe as some in China 102 00:05:35,480 --> 00:05:40,280 Speaker 4: as the top party school outside the country. Alumni of 103 00:05:40,320 --> 00:05:43,120 Speaker 4: such programs include a former vice president and Chinese leader, 104 00:05:43,200 --> 00:05:49,120 Speaker 4: Shijin Paing's top trade negotiator these days. Maybe you heard well, 105 00:05:49,160 --> 00:05:51,320 Speaker 4: we talked about it. Last week, Secretary of State Marco 106 00:05:51,440 --> 00:05:54,560 Speaker 4: Rubio announced US to authorities will tighten criteria for visa 107 00:05:54,560 --> 00:05:58,480 Speaker 4: applications from China and aggressively revoke visas for Chinese students, 108 00:05:58,600 --> 00:06:01,400 Speaker 4: including those with connections to the Chinese Communist Party or 109 00:06:01,440 --> 00:06:03,080 Speaker 4: studying in critical fields. 110 00:06:03,160 --> 00:06:06,800 Speaker 2: Well, remember last week that new president at Harvard gave 111 00:06:06,839 --> 00:06:09,840 Speaker 2: a big speech at the graduation ceremony talking about how 112 00:06:10,040 --> 00:06:12,599 Speaker 2: we have always educated people from around the world, and 113 00:06:12,640 --> 00:06:14,720 Speaker 2: we had recorded there and he got a one med 114 00:06:14,920 --> 00:06:15,680 Speaker 2: standing ovation. 115 00:06:16,720 --> 00:06:19,720 Speaker 3: Right, Because it is absolutely. 116 00:06:19,000 --> 00:06:23,359 Speaker 4: A requirement of being a lefty in America that you 117 00:06:23,440 --> 00:06:28,240 Speaker 4: must worship all things foreign and loathe all things American 118 00:06:28,440 --> 00:06:31,880 Speaker 4: and domestic, or at least most of them. It's just 119 00:06:31,960 --> 00:06:38,000 Speaker 4: it's so nakedly approval seeking and so stupid. American universities 120 00:06:38,000 --> 00:06:41,240 Speaker 4: have played leading roles in shaping China's overseas training programs 121 00:06:41,240 --> 00:06:42,919 Speaker 4: for mid career officials for years. 122 00:06:42,720 --> 00:06:43,480 Speaker 3: And years and years. 123 00:06:43,600 --> 00:06:47,000 Speaker 4: Other US colleges have offered executive training with Chinese communist officials, 124 00:06:47,040 --> 00:06:51,279 Speaker 4: including Syracuse, Stanford, the University of Maryland, and rot Gers 125 00:06:51,360 --> 00:06:53,040 Speaker 4: where my dad taught many many years ago. 126 00:06:54,000 --> 00:06:56,440 Speaker 3: Blah blah blah. So it's just amazing. You know, it's funny. 127 00:06:56,480 --> 00:06:59,479 Speaker 4: I was thinking earlier when you were talking about in 128 00:06:59,520 --> 00:07:03,600 Speaker 4: Pete Hagg's was talking about the perhaps impending invasion of Taiwan, 129 00:07:04,080 --> 00:07:06,800 Speaker 4: and they're running those millet that Chinese are running those 130 00:07:06,800 --> 00:07:10,760 Speaker 4: military exercises that are like everything but pulling the trigger. 131 00:07:11,120 --> 00:07:13,280 Speaker 4: And can you imagine if the United States, let the 132 00:07:13,360 --> 00:07:17,880 Speaker 4: Japanese say, in nineteen forty, you know, put a bunch 133 00:07:17,880 --> 00:07:19,960 Speaker 4: of aircraft carriers out in the Pacific and then fly 134 00:07:20,160 --> 00:07:22,920 Speaker 4: planes right at Pearl Harbor. Then they said, hey, it's 135 00:07:22,920 --> 00:07:26,040 Speaker 4: an exercise, just an exercise. And then they turned around 136 00:07:26,280 --> 00:07:29,360 Speaker 4: and went back to the you know, over and over again, we'd. 137 00:07:29,200 --> 00:07:31,520 Speaker 3: Be said, no, it's okay, They're just do it an exercise. 138 00:07:31,800 --> 00:07:33,080 Speaker 3: I mean, oh, good lord. 139 00:07:33,560 --> 00:07:37,360 Speaker 4: And by the same token, you've got a hostile communist 140 00:07:37,400 --> 00:07:42,160 Speaker 4: regime and we're educating their officials in how to govern. 141 00:07:43,000 --> 00:07:45,400 Speaker 4: All right, moving along, I think the point's been made 142 00:07:45,600 --> 00:07:47,560 Speaker 4: in terms of the exit speech. I'm sure we'll bring 143 00:07:47,560 --> 00:07:49,720 Speaker 4: that up with Mike Lyons. When we talked to him 144 00:07:49,720 --> 00:07:55,160 Speaker 4: in hour three, our military advisor listen to this, will 145 00:07:55,240 --> 00:07:59,480 Speaker 4: you the economic contributions of international students, said we you know, 146 00:07:59,560 --> 00:08:04,120 Speaker 4: I'm prime merely interested in Chinese students, but the share 147 00:08:04,160 --> 00:08:09,160 Speaker 4: of international students from China is twenty three percent at Harvard. 148 00:08:09,360 --> 00:08:13,360 Speaker 4: So about a quarter of all the international students are Chinese. 149 00:08:13,440 --> 00:08:18,440 Speaker 4: At Harvard, it's fifty percent. At Cornell, it's forty seven 150 00:08:18,520 --> 00:08:22,640 Speaker 4: percent at Columbia. Wow, let's see you see Berkeley appears 151 00:08:22,680 --> 00:08:23,640 Speaker 4: to be a third. 152 00:08:24,240 --> 00:08:25,760 Speaker 3: Why don't you give me the number? 153 00:08:26,400 --> 00:08:28,840 Speaker 4: They just it's a barograph and some of them are labeled, 154 00:08:28,840 --> 00:08:31,000 Speaker 4: some of them or not. But just to give you 155 00:08:31,800 --> 00:08:35,520 Speaker 4: an idea of why they put up with this, the 156 00:08:35,640 --> 00:08:40,040 Speaker 4: economic contributions of international students at top us universities quote 157 00:08:40,080 --> 00:08:44,760 Speaker 4: unquote top universities in twenty twenty three. Columbia got nine 158 00:08:44,920 --> 00:08:50,000 Speaker 4: hundred million dollars in twenty twenty three from foreign students 159 00:08:50,360 --> 00:08:54,760 Speaker 4: nine hundred million. You see Berkeley five hundred and seventy 160 00:08:54,800 --> 00:08:55,720 Speaker 4: six million. 161 00:08:55,800 --> 00:08:57,559 Speaker 3: Well, if you're getting half a trillion dollars, you ain't 162 00:08:57,559 --> 00:08:58,320 Speaker 3: gonna want to end that. 163 00:08:59,600 --> 00:08:59,760 Speaker 2: Uh? 164 00:09:00,600 --> 00:09:01,920 Speaker 3: Is that half a trillion? 165 00:09:02,880 --> 00:09:05,240 Speaker 4: Yeah? A thousand million is a billion. Well no, so 166 00:09:05,280 --> 00:09:08,079 Speaker 4: it's it's almost a billion. Half a billion. What I 167 00:09:08,120 --> 00:09:10,199 Speaker 4: don't remember what the number was now I'm confused. Columbia 168 00:09:10,240 --> 00:09:14,600 Speaker 4: was nine oh three, Berkeley is five seventy six. Johns 169 00:09:14,600 --> 00:09:16,880 Speaker 4: Hopkins five oh four. That's half a billion. 170 00:09:16,960 --> 00:09:17,880 Speaker 3: There you go, half a billion. 171 00:09:17,960 --> 00:09:21,520 Speaker 4: University of Chicago for twenty eight, Duke three eighteen, Yale 172 00:09:21,559 --> 00:09:24,319 Speaker 4: two forty one, Northwestern three hundred and twenty four million 173 00:09:24,360 --> 00:09:30,160 Speaker 4: dollars in a year. You know, I love capitalism, I 174 00:09:30,280 --> 00:09:35,760 Speaker 4: do great is good, Gordon Gecko, look it up. But 175 00:09:35,800 --> 00:09:39,600 Speaker 4: when it leads you to betray your country, we are 176 00:09:40,200 --> 00:09:41,920 Speaker 4: we are begging for a comeuppance. 177 00:09:42,559 --> 00:09:46,959 Speaker 1: The Armstrong and Getty show or show podcasts and our 178 00:09:46,960 --> 00:09:51,960 Speaker 1: hot lakes coming. 179 00:09:51,800 --> 00:09:52,439 Speaker 3: Up in a moment. 180 00:09:53,440 --> 00:09:57,200 Speaker 4: Breathing through our bucks has been declared safe after the 181 00:09:57,240 --> 00:09:58,280 Speaker 4: first human trial. 182 00:09:58,720 --> 00:10:02,679 Speaker 3: I'm not laughing. I'm coffing, actually a little both. There 183 00:10:02,760 --> 00:10:03,880 Speaker 3: was a human trial. 184 00:10:04,600 --> 00:10:09,760 Speaker 2: Yes, Can I like, if I squeeze really hard, can 185 00:10:09,800 --> 00:10:10,520 Speaker 2: I breathe. 186 00:10:10,280 --> 00:10:14,080 Speaker 4: Through my You try hard enough? That's right, everybody try No. 187 00:10:14,720 --> 00:10:17,480 Speaker 4: I'll explain the minute or two. I found this really interesting. 188 00:10:17,480 --> 00:10:19,559 Speaker 4: I'm aware of exhaling that way. A lot of people 189 00:10:19,559 --> 00:10:21,640 Speaker 4: do that and they shouldn't. Uh. 190 00:10:21,760 --> 00:10:23,760 Speaker 3: This is from the Times of London. 191 00:10:24,559 --> 00:10:29,400 Speaker 4: Female spies are waging sex warfare to steal Silicon Valley secrets. 192 00:10:29,720 --> 00:10:32,800 Speaker 4: China and Russia are both sending attractive women to seduce 193 00:10:32,920 --> 00:10:37,559 Speaker 4: tech workers, even marrying and having children with their targets. 194 00:10:38,120 --> 00:10:38,360 Speaker 3: Wow. 195 00:10:38,640 --> 00:10:42,120 Speaker 4: In a desperate attempt to get ahead and stay ahead 196 00:10:42,600 --> 00:10:43,440 Speaker 4: tech and AI. 197 00:10:44,120 --> 00:10:46,040 Speaker 2: You're not a sex worker. If you actually marry them 198 00:10:46,040 --> 00:10:48,280 Speaker 2: and have children, you're a I don't know what you are. 199 00:10:48,720 --> 00:10:53,400 Speaker 2: Your spy, yeah, oh yeah. Nobody's calling them sex workers there, 200 00:10:53,640 --> 00:11:00,439 Speaker 2: they're spies. Chinese and Russian operatives are using sex warfare 201 00:11:00,440 --> 00:11:05,040 Speaker 2: to seduce and spy on Silicon Valley professionals. James Mulvanan, 202 00:11:05,160 --> 00:11:09,520 Speaker 2: the chief intelligence officer of amer Consulting, which provides risk 203 00:11:09,880 --> 00:11:13,400 Speaker 2: assessments for American companies investing in China, said he was 204 00:11:13,520 --> 00:11:16,280 Speaker 2: one of the many men recently targeted by Fordes seductresses 205 00:11:16,360 --> 00:11:17,640 Speaker 2: hoping to gain access. 206 00:11:17,280 --> 00:11:18,160 Speaker 3: To US secrets. 207 00:11:18,480 --> 00:11:21,520 Speaker 4: Quote, I'm getting an enormous number of very sophisticated LinkedIn 208 00:11:21,760 --> 00:11:24,800 Speaker 4: requests from the same type of attractive young Chinese women. 209 00:11:24,840 --> 00:11:29,280 Speaker 4: It seems to have really ramped up recently, he described 210 00:11:29,440 --> 00:11:33,840 Speaker 4: at how at a business conference on Chinese investment risks 211 00:11:34,040 --> 00:11:39,400 Speaker 4: hosted in Virginia last week, two attractive Chinese women showed. 212 00:11:39,200 --> 00:11:41,079 Speaker 3: Up and attempted to gain entry. 213 00:11:41,240 --> 00:11:42,720 Speaker 4: We didn't let them in, but they had all the 214 00:11:42,720 --> 00:11:44,480 Speaker 4: information about the event and everything else. 215 00:11:44,600 --> 00:11:44,960 Speaker 3: He said. 216 00:11:44,960 --> 00:11:47,400 Speaker 4: It's a phenomenon, and now I will tell you it's 217 00:11:47,480 --> 00:11:48,200 Speaker 4: really weird. 218 00:11:48,280 --> 00:11:50,719 Speaker 2: Wow, that is a heck of a commitment to your 219 00:11:50,800 --> 00:11:54,439 Speaker 2: country that you're going to meet a guy, woo him, 220 00:11:55,240 --> 00:11:57,520 Speaker 2: marry him, have kids with him. 221 00:11:58,080 --> 00:12:02,040 Speaker 3: I mean, that's really about your wow. 222 00:12:03,360 --> 00:12:08,520 Speaker 4: Or you're well, you're in the the spy service. It's 223 00:12:09,679 --> 00:12:14,160 Speaker 4: I've read various autobiographies of both men and women who 224 00:12:14,200 --> 00:12:16,560 Speaker 4: are in the KGB and how you get recruited young, 225 00:12:16,679 --> 00:12:17,200 Speaker 4: and your. 226 00:12:17,400 --> 00:12:22,320 Speaker 2: Trains and the all day, every day of raising a kid. 227 00:12:22,360 --> 00:12:24,080 Speaker 2: If you've done it, it's a lot of work. It's 228 00:12:24,120 --> 00:12:26,920 Speaker 2: your whole life. I mean, you're doing all that as 229 00:12:27,000 --> 00:12:28,319 Speaker 2: part of your being a spy. 230 00:12:28,360 --> 00:12:28,680 Speaker 3: Wow. 231 00:12:29,400 --> 00:12:34,000 Speaker 4: Right, Uh let's see. Uh oh, here's here's the interesting part. 232 00:12:34,559 --> 00:12:36,800 Speaker 4: And I've been trying to tell you this for a 233 00:12:36,800 --> 00:12:42,360 Speaker 4: long time. Both Russia and the CCP are using ordinary citizens, investors, cryptoanalysts, businessmen, 234 00:12:42,480 --> 00:12:46,560 Speaker 4: academics to target their American counterparts rather than trained agents, 235 00:12:46,760 --> 00:12:48,960 Speaker 4: which makes the esponars harder to spot. 236 00:12:49,080 --> 00:12:49,520 Speaker 3: Quote. 237 00:12:49,559 --> 00:12:52,240 Speaker 4: We're not chasing a KGB agent in a smoky guest 238 00:12:52,240 --> 00:12:55,800 Speaker 4: house in Germany anymore, said one senior US counter intelligence official. 239 00:12:56,040 --> 00:12:56,319 Speaker 3: Quote. 240 00:12:56,320 --> 00:12:59,200 Speaker 4: Our adversaries, particularly the Chinese, are using a whole of 241 00:12:59,240 --> 00:13:02,800 Speaker 4: society approach to exploit all aspects of our technology and 242 00:13:02,880 --> 00:13:03,680 Speaker 4: Western talent. 243 00:13:04,120 --> 00:13:07,000 Speaker 2: Can you imagine you find out your wife and mother 244 00:13:07,080 --> 00:13:10,840 Speaker 2: of your two kids, you've been married for ten years, 245 00:13:11,559 --> 00:13:13,760 Speaker 2: only did it to spy for the Communists? 246 00:13:14,400 --> 00:13:18,600 Speaker 3: Yeah? I know, boy, would that be rock your world shattering? Yeah. 247 00:13:18,679 --> 00:13:20,720 Speaker 4: I want to get to the breathing through your butt 248 00:13:20,720 --> 00:13:22,360 Speaker 4: thing in a bit, but you don't have time because 249 00:13:22,360 --> 00:13:23,480 Speaker 4: I want to wrap this up. 250 00:13:24,080 --> 00:13:25,680 Speaker 3: Yeah. 251 00:13:25,720 --> 00:13:29,120 Speaker 4: Anyway, what was that going to say? I've been trying 252 00:13:29,880 --> 00:13:33,160 Speaker 4: not with that attitude, you can't. I've told this story 253 00:13:33,240 --> 00:13:35,200 Speaker 4: many times, but it's worth retelling it. It was about 254 00:13:35,200 --> 00:13:38,760 Speaker 4: a decade ago that the FBI went to a particular 255 00:13:38,920 --> 00:13:43,520 Speaker 4: large California university and their counterintelligence folks warned the president 256 00:13:43,520 --> 00:13:45,840 Speaker 4: of the university, you have a lot of Chinese agents 257 00:13:45,920 --> 00:13:46,360 Speaker 4: on your. 258 00:13:46,200 --> 00:13:48,080 Speaker 3: Campus masquerading as researchers. 259 00:13:48,440 --> 00:13:52,440 Speaker 4: And they were told, quote, get off my campus, you racists. 260 00:13:54,440 --> 00:13:57,680 Speaker 4: There are thousands, tens of thousands Chinese nationals in the 261 00:13:57,760 --> 00:14:00,360 Speaker 4: United States right now doing the work of the Communists Party, 262 00:14:00,520 --> 00:14:02,400 Speaker 4: spending all day, every day doing. 263 00:14:02,160 --> 00:14:04,840 Speaker 3: The work of the Communist Party. I stand by those words. 264 00:14:05,080 --> 00:14:07,959 Speaker 4: Ah So, A couple of notes on Haavid supposedly the 265 00:14:07,960 --> 00:14:11,320 Speaker 4: world's greatest university, which has beclowned itself completely. I thought 266 00:14:11,360 --> 00:14:14,720 Speaker 4: this was interesting, And Harvard PhD programs are collapsing amidst 267 00:14:15,040 --> 00:14:16,240 Speaker 4: amid budget woes. 268 00:14:16,679 --> 00:14:17,719 Speaker 3: Faculty of Arts and. 269 00:14:17,679 --> 00:14:22,080 Speaker 4: Sciences just to slash the number of PhD student admissions 270 00:14:22,200 --> 00:14:25,400 Speaker 4: by more seventy five percent in the Science division and 271 00:14:25,600 --> 00:14:28,040 Speaker 4: sixty percent in the Arts and Humanities division in the 272 00:14:28,040 --> 00:14:29,040 Speaker 4: past two years. 273 00:14:29,400 --> 00:14:32,600 Speaker 2: If you how much does the world need more PhDs 274 00:14:32,760 --> 00:14:34,480 Speaker 2: in most areas? You know? 275 00:14:34,600 --> 00:14:37,960 Speaker 4: Quoting Nelly Bowls again, the PhD racket has always been 276 00:14:37,960 --> 00:14:40,960 Speaker 4: a weird one. These schools push their smartest, most annoyingly 277 00:14:41,000 --> 00:14:44,160 Speaker 4: ambitious kids to get a PhD. During that PhD, the 278 00:14:44,200 --> 00:14:46,280 Speaker 4: guys do all the work of being a paid professor, 279 00:14:46,320 --> 00:14:49,200 Speaker 4: teaching courses, grading papers, but they're paid next to nothing. 280 00:14:49,440 --> 00:14:51,040 Speaker 4: Then the clincher is that at the end there are 281 00:14:51,040 --> 00:14:54,200 Speaker 4: no jobs available, maybe one English Department job in Idaho 282 00:14:54,320 --> 00:14:56,560 Speaker 4: for a group of three hundred to battle to the 283 00:14:56,640 --> 00:14:57,160 Speaker 4: death over. 284 00:14:57,680 --> 00:14:59,200 Speaker 3: So I support this belt tightening. 285 00:14:59,240 --> 00:15:02,040 Speaker 4: We will have about f five thousand fewer Antifa soldiers 286 00:15:02,040 --> 00:15:05,200 Speaker 4: produced each year. They might even spend their twenties making money. 287 00:15:06,160 --> 00:15:10,640 Speaker 4: Love that well, said Nellie. Speaking of Havid, they say 288 00:15:10,680 --> 00:15:13,560 Speaker 4: they the university won't say whether they will sanction a 289 00:15:13,600 --> 00:15:18,000 Speaker 4: dean who defended rioting and looting is legitimate parts of democracy, 290 00:15:18,280 --> 00:15:24,080 Speaker 4: described whiteness as a self described self destructive ideology, celebrated 291 00:15:24,200 --> 00:15:27,440 Speaker 4: Charlie Kirk's death, said it was acceptable to wish death 292 00:15:27,520 --> 00:15:29,760 Speaker 4: on Donald Trump, etc. 293 00:15:30,120 --> 00:15:30,440 Speaker 2: Etc. 294 00:15:32,280 --> 00:15:38,120 Speaker 4: This guy is unbelievable. What's my favorite? In the following 295 00:15:38,120 --> 00:15:40,760 Speaker 4: the death of George Floyd, he tweeted, rioting and looting 296 00:15:40,760 --> 00:15:43,400 Speaker 4: are parts of democracy, just like voting and marching. 297 00:15:44,000 --> 00:15:44,560 Speaker 3: Wow. 298 00:15:45,120 --> 00:15:47,320 Speaker 4: A month before he got his gig last year, he 299 00:15:47,640 --> 00:15:50,000 Speaker 4: posted on Instagram that people should love each other and 300 00:15:50,040 --> 00:15:54,360 Speaker 4: hate the police. Describe whiteness as a self destructive ideology 301 00:15:54,360 --> 00:15:57,440 Speaker 4: that annihilates everyone around it, like in Trump to Adolf Hitler, 302 00:15:57,440 --> 00:16:00,840 Speaker 4: then appeared to celebrate the death of Rush Limbaugh, etc. 303 00:16:01,640 --> 00:16:06,880 Speaker 4: Harvard has no comments on it, and the communist himself, 304 00:16:06,920 --> 00:16:11,440 Speaker 4: Gregory Davis is his name, said those posts do not 305 00:16:11,480 --> 00:16:15,400 Speaker 4: reflect my current thinking or beliefs. One of them was 306 00:16:15,480 --> 00:16:20,720 Speaker 4: last year, well, I was a kid Marxist sly, they 307 00:16:20,720 --> 00:16:23,680 Speaker 4: lie and they lie and they lie. And then Fox 308 00:16:23,760 --> 00:16:27,200 Speaker 4: new has had a panel with conservative Harvard students that 309 00:16:27,360 --> 00:16:29,440 Speaker 4: was really interesting. Maybe we could find some of the 310 00:16:29,520 --> 00:16:32,720 Speaker 4: audio for it, but they're speaking out about what it's 311 00:16:32,840 --> 00:16:37,840 Speaker 4: really like on campus right now, where the university has said, no, 312 00:16:37,880 --> 00:16:40,000 Speaker 4: we're going to be fair, but in practice they're not, 313 00:16:41,120 --> 00:16:43,240 Speaker 4: said one quote. A good example of this would be 314 00:16:43,280 --> 00:16:45,840 Speaker 4: like something like the university is very strict on not 315 00:16:46,040 --> 00:16:48,960 Speaker 4: co sponsoring events with outside groups when it comes to 316 00:16:49,000 --> 00:16:51,520 Speaker 4: the Republican Club, let's say, putting on events, but the 317 00:16:51,560 --> 00:16:54,360 Speaker 4: Democrats get away with that all the time, no questions asked, 318 00:16:55,120 --> 00:16:58,160 Speaker 4: and the students described what they believed to be selective 319 00:16:58,200 --> 00:16:59,680 Speaker 4: enforcement of various campus rules. 320 00:16:59,760 --> 00:17:00,000 Speaker 3: Quote. 321 00:17:00,400 --> 00:17:02,720 Speaker 4: There have been other things like the Republican Club puts 322 00:17:02,720 --> 00:17:04,520 Speaker 4: on a big event and they send a bunch of 323 00:17:04,560 --> 00:17:09,119 Speaker 4: administrators to really, you know, enforce fire code rules making 324 00:17:09,119 --> 00:17:11,800 Speaker 4: sure the audience is sitting properly in their seats. Whereas 325 00:17:11,840 --> 00:17:14,560 Speaker 4: Democrats can host events, the whole place can be jammed 326 00:17:14,560 --> 00:17:16,359 Speaker 4: pack and there's no concern whatsoever. 327 00:17:16,800 --> 00:17:18,960 Speaker 3: That's the opposite of what a university ought to be. 328 00:17:19,160 --> 00:17:23,160 Speaker 1: Polar opposite the Armstrong and Getty show, Yeah or Jack 329 00:17:23,400 --> 00:17:25,520 Speaker 1: Orgioe podcasts and our hot. 330 00:17:25,440 --> 00:17:33,399 Speaker 6: Links of US high school students reported feeling said or 331 00:17:33,560 --> 00:17:37,760 Speaker 6: hopeless in twenty twenty three, and twenty percent had seriously 332 00:17:37,840 --> 00:17:39,760 Speaker 6: considered attempting suicide. 333 00:17:39,880 --> 00:17:44,800 Speaker 2: I appreciated that Meet the Press on Sunday did not 334 00:17:44,960 --> 00:17:50,040 Speaker 2: go with the usual news of the day, particularly around 335 00:17:50,200 --> 00:17:54,240 Speaker 2: Donald Trump. They went with the crisis that we've talked 336 00:17:54,280 --> 00:17:57,600 Speaker 2: about a lot and should be treated like a crisis. 337 00:17:57,600 --> 00:18:02,160 Speaker 2: That people are lonelier than ever, young people are killing 338 00:18:02,240 --> 00:18:05,680 Speaker 2: themselves and taking medications. 339 00:18:04,880 --> 00:18:07,320 Speaker 3: To deal with anxiety, and all of blah blah blah. 340 00:18:07,359 --> 00:18:10,399 Speaker 2: We know all this stuff as being like a lead story, 341 00:18:10,560 --> 00:18:13,640 Speaker 2: which it is should be a lead story, the lead 342 00:18:13,680 --> 00:18:17,000 Speaker 2: story every week. B this is what Trump did yesterday 343 00:18:17,359 --> 00:18:18,840 Speaker 2: for so cynical about these people. 344 00:18:18,880 --> 00:18:21,480 Speaker 4: I wonder whether they're doing that for the right reason 345 00:18:21,600 --> 00:18:23,640 Speaker 4: or if their ratings are just dropping off with never 346 00:18:23,760 --> 00:18:24,680 Speaker 4: ending Trump hysteria. 347 00:18:24,720 --> 00:18:27,320 Speaker 3: But anyway, back to the very very important topic. 348 00:18:27,320 --> 00:18:29,320 Speaker 2: Here, let's hear a little more from Christian Walker of 349 00:18:29,359 --> 00:18:31,200 Speaker 2: Meet the Press laying out some of the facts here. 350 00:18:31,400 --> 00:18:34,919 Speaker 6: Two thirds of gen z report feelings of loneliness, and 351 00:18:35,080 --> 00:18:38,560 Speaker 6: half of young adults report symptoms of anxiety and depression. 352 00:18:39,160 --> 00:18:42,280 Speaker 6: Youth suicide rates are climbing. It is now one of 353 00:18:42,280 --> 00:18:45,720 Speaker 6: the leading causes of death in adolescents and young adults. 354 00:18:46,359 --> 00:18:49,840 Speaker 6: Almost one in five young adults report rarely or never 355 00:18:49,960 --> 00:18:54,280 Speaker 6: receiving the social support they need. In our super connected times, 356 00:18:54,320 --> 00:18:58,480 Speaker 6: over fifty five million US adults report frequent loneliness. The 357 00:18:58,600 --> 00:19:01,399 Speaker 6: smartphones and social media apps that connect us to the 358 00:19:01,440 --> 00:19:03,639 Speaker 6: world are also accelerating the crisis. 359 00:19:03,960 --> 00:19:05,600 Speaker 3: That's one thing about this story. 360 00:19:05,640 --> 00:19:09,760 Speaker 2: I feel like every single time we quickly get to smartphones, 361 00:19:09,880 --> 00:19:14,600 Speaker 2: social media and everybody's aware of this already, there's a 362 00:19:14,640 --> 00:19:17,520 Speaker 2: lot like there's not like the next sentence or the 363 00:19:17,560 --> 00:19:20,199 Speaker 2: next whatever comes after that. 364 00:19:20,400 --> 00:19:23,960 Speaker 3: So we should what didn't make it? 365 00:19:24,080 --> 00:19:26,439 Speaker 2: Have Superman fly around the world, rerual really fast and 366 00:19:26,480 --> 00:19:28,560 Speaker 2: turn back time to be four smartphones. 367 00:19:28,680 --> 00:19:30,199 Speaker 3: If that were possible, I'd be all for it. 368 00:19:31,000 --> 00:19:33,680 Speaker 4: Right, I'm trying to remember there was a great phrase 369 00:19:33,800 --> 00:19:37,560 Speaker 4: by Caitlin Flannagan I think who wrote that we're drowning 370 00:19:37,560 --> 00:19:38,040 Speaker 4: in the stuff. 371 00:19:38,040 --> 00:19:40,840 Speaker 3: It's killing us, but we like it under the water. Ahhh, 372 00:19:41,280 --> 00:19:44,080 Speaker 3: that's pretty good. Yeah, that's pretty good. 373 00:19:44,600 --> 00:19:47,199 Speaker 2: Now, combining a couple of things that are related and 374 00:19:47,280 --> 00:19:51,720 Speaker 2: not related, I guess. So this Netflix show Adolescence that's 375 00:19:51,720 --> 00:19:54,840 Speaker 2: getting a tremendous amount of attention. It's already got one 376 00:19:54,920 --> 00:19:58,359 Speaker 2: hundred and fourteen million views, which is a. 377 00:19:58,440 --> 00:20:00,880 Speaker 3: Lot compared to like regular TV shows. 378 00:20:01,440 --> 00:20:05,200 Speaker 2: It's based on a horrifying story of a middle schooler 379 00:20:05,480 --> 00:20:09,000 Speaker 2: boy who murdered his classmate girl. And one of the 380 00:20:09,040 --> 00:20:11,720 Speaker 2: reasons it's getting a fair amount of attention by The 381 00:20:11,760 --> 00:20:14,440 Speaker 2: New York Times, and Gavin Newsom talked about how he 382 00:20:14,480 --> 00:20:16,919 Speaker 2: had to turn it off as horrifying. It's because they 383 00:20:16,960 --> 00:20:23,160 Speaker 2: present a lot of it as right wing toxic masculinity 384 00:20:23,200 --> 00:20:25,840 Speaker 2: that is caught on on social media and the Tate 385 00:20:25,880 --> 00:20:29,560 Speaker 2: Brothers and that sort of stuff. But and it goes 386 00:20:29,600 --> 00:20:32,239 Speaker 2: too far. All of that stuff is true, but it 387 00:20:32,560 --> 00:20:36,000 Speaker 2: leaves out, you know, there's plenty on all sides of 388 00:20:36,040 --> 00:20:38,800 Speaker 2: what's wrong with social media and what it's doing to 389 00:20:38,880 --> 00:20:45,160 Speaker 2: people and their worldviews, especially young men. And then this 390 00:20:45,280 --> 00:20:48,000 Speaker 2: story that also fits into it, I think, is this 391 00:20:48,560 --> 00:20:51,160 Speaker 2: thing it became a TikTok craze, but the I think 392 00:20:51,200 --> 00:20:53,840 Speaker 2: there's a lot of truth in it. It's the idea 393 00:20:54,000 --> 00:20:57,960 Speaker 2: of men calling each other at night and saying, hey, 394 00:20:58,200 --> 00:21:00,280 Speaker 2: just want to say good night to you. You know 395 00:21:00,320 --> 00:21:03,679 Speaker 2: you're a good friend, and saying good night. And I 396 00:21:03,720 --> 00:21:10,399 Speaker 2: thought that's because that's a thing that usually gets taken 397 00:21:10,520 --> 00:21:14,800 Speaker 2: care of by having a girlfriend or wife or boyfriend 398 00:21:14,880 --> 00:21:17,959 Speaker 2: or husband. If you're gay, but you you have a 399 00:21:18,000 --> 00:21:21,280 Speaker 2: relationship of somebody that's going to text you goodnight, call 400 00:21:21,359 --> 00:21:23,560 Speaker 2: you good night, or is in bed next to you, 401 00:21:24,240 --> 00:21:27,000 Speaker 2: and so many people don't. Now it was kind of 402 00:21:27,000 --> 00:21:29,480 Speaker 2: presented as like a joke, but I could see how 403 00:21:29,520 --> 00:21:30,359 Speaker 2: that could be a thing. 404 00:21:30,640 --> 00:21:32,240 Speaker 3: I'm not going to do it, but I. 405 00:21:32,160 --> 00:21:33,879 Speaker 2: Can see how that could be a thing because you're 406 00:21:33,920 --> 00:21:36,359 Speaker 2: lacking that in your life. Nobody at the end of 407 00:21:36,400 --> 00:21:39,560 Speaker 2: the day that says, yeah, thinking about you, goodnight, miss you, 408 00:21:39,760 --> 00:21:40,440 Speaker 2: something like that. 409 00:21:41,080 --> 00:21:44,040 Speaker 3: Yeah, these are very troubling developments. 410 00:21:44,640 --> 00:21:48,119 Speaker 4: I'm struck by and I'm trying to find the right words. 411 00:21:48,320 --> 00:21:55,040 Speaker 4: How much of this stuff is antiseptic? Is the closest 412 00:21:55,080 --> 00:22:01,040 Speaker 4: I'm getting. What I'm driving at is online interaction, including 413 00:22:01,080 --> 00:22:04,080 Speaker 4: everything that we've described so far. And you're gonna make 414 00:22:04,080 --> 00:22:06,679 Speaker 4: fun of this, but go ahead. First day, laugh at you, 415 00:22:06,760 --> 00:22:09,040 Speaker 4: then they laugh at you more, then they really really 416 00:22:09,119 --> 00:22:09,600 Speaker 4: laugh at you. 417 00:22:10,119 --> 00:22:11,479 Speaker 3: But then the Haley who's a genius. 418 00:22:11,480 --> 00:22:18,720 Speaker 4: I think that's how it ends anyway, an online relationship, porn, 419 00:22:20,040 --> 00:22:23,760 Speaker 4: social media, online quote unquote friends. 420 00:22:23,880 --> 00:22:26,600 Speaker 3: I remember railing about the term friends. 421 00:22:26,720 --> 00:22:30,080 Speaker 4: Yeah, when Facebook first caught on, I was ahead of 422 00:22:30,080 --> 00:22:30,600 Speaker 4: my time. 423 00:22:31,040 --> 00:22:32,080 Speaker 3: Yeah, you're right about that. 424 00:22:32,840 --> 00:22:36,320 Speaker 2: Yeah, the porn chick you're looking at is not going 425 00:22:36,359 --> 00:22:39,439 Speaker 2: to text you miss you good night at the end 426 00:22:39,480 --> 00:22:39,880 Speaker 2: of the day. 427 00:22:40,320 --> 00:22:41,240 Speaker 3: But here's what just. 428 00:22:41,359 --> 00:22:44,160 Speaker 4: Dawned on me, is you're going through these things, all 429 00:22:44,240 --> 00:22:49,080 Speaker 4: of those quote unquote relationships or being with those people. 430 00:22:49,720 --> 00:22:53,960 Speaker 4: They have no smell, They have no taste, they have 431 00:22:54,160 --> 00:23:00,000 Speaker 4: no feelings, physical sensation until the love bots come up 432 00:23:00,080 --> 00:23:03,600 Speaker 4: long and the rest of it. They are incredibly antiseptic. 433 00:23:04,440 --> 00:23:08,159 Speaker 4: They and they lack all of the like like downside. 434 00:23:08,440 --> 00:23:10,840 Speaker 4: All right, So you're you're you're with a girl, maybe 435 00:23:10,840 --> 00:23:14,200 Speaker 4: she's got bad breath. Porn doesn't have bad breath. 436 00:23:13,920 --> 00:23:14,480 Speaker 3: For instance. 437 00:23:15,359 --> 00:23:20,080 Speaker 4: It all is so lacking in the rough and tumble 438 00:23:20,200 --> 00:23:25,520 Speaker 4: of real life that I think people can no longer 439 00:23:25,600 --> 00:23:29,119 Speaker 4: tolerate the rough and tumble of real life of a 440 00:23:29,400 --> 00:23:32,199 Speaker 4: lover who's occasionally insensitive or has bad breath or is 441 00:23:32,240 --> 00:23:34,000 Speaker 4: sweating from the gym or whatever. 442 00:23:34,400 --> 00:23:36,720 Speaker 3: Yeah, I don't know. And friends who annoy you and stuff. 443 00:23:36,760 --> 00:23:37,239 Speaker 3: I don't know. 444 00:23:37,400 --> 00:23:39,480 Speaker 2: I don't know if those are the examples that are 445 00:23:40,000 --> 00:23:43,160 Speaker 2: keeping people. I think it's the but it's easy, it's 446 00:23:43,240 --> 00:23:47,600 Speaker 2: all so, I think it's the emotional effort. Is a 447 00:23:47,480 --> 00:23:50,280 Speaker 2: is a is a problem. I've seen this with my 448 00:23:50,359 --> 00:23:53,919 Speaker 2: own eyes, and it horrifies me. They like draw straws 449 00:23:53,960 --> 00:23:56,120 Speaker 2: to see who's gonna call to order the pizza because 450 00:23:56,119 --> 00:23:59,920 Speaker 2: it's so intimidating that crowd's not gonna ask somebody out 451 00:24:00,359 --> 00:24:03,640 Speaker 2: and make the emotional risk that is getting into her relationship. 452 00:24:03,680 --> 00:24:06,560 Speaker 2: I mean, I think pretty clearly true. 453 00:24:06,880 --> 00:24:10,120 Speaker 4: Or fight through the inevitable part of the relationship where 454 00:24:10,200 --> 00:24:12,880 Speaker 4: you realize, Okay, this person is fully human and has 455 00:24:12,960 --> 00:24:15,600 Speaker 4: flaws and annoys me at times. 456 00:24:15,320 --> 00:24:17,280 Speaker 2: And are sometimes we're going to have to do stuff 457 00:24:17,320 --> 00:24:19,280 Speaker 2: that they want to do and not just stuff I 458 00:24:19,320 --> 00:24:19,719 Speaker 2: want to do. 459 00:24:19,840 --> 00:24:21,119 Speaker 3: I think that's a big part of it. 460 00:24:23,560 --> 00:24:24,920 Speaker 2: To go back a second, and I don't want to 461 00:24:24,920 --> 00:24:26,480 Speaker 2: get a hung up on this, because the point is 462 00:24:26,520 --> 00:24:29,360 Speaker 2: not any of this. The whole point is not any 463 00:24:29,359 --> 00:24:32,280 Speaker 2: of the sex stuff. But apparently because I've read about this, 464 00:24:32,320 --> 00:24:33,760 Speaker 2: I think I saw on the New York Post, you 465 00:24:33,840 --> 00:24:37,879 Speaker 2: can like a lot of these only fans women. You 466 00:24:37,920 --> 00:24:40,200 Speaker 2: can get some sort of set up with them where 467 00:24:40,240 --> 00:24:42,480 Speaker 2: they text you throughout the day how's your day going, 468 00:24:42,720 --> 00:24:46,040 Speaker 2: and text you at night to fulfill that particular desire. 469 00:24:46,320 --> 00:24:49,320 Speaker 2: That desire is strong enough that dudes are not doing 470 00:24:49,359 --> 00:24:51,920 Speaker 2: it with each other, at least according to a TikTok trend, 471 00:24:52,760 --> 00:24:54,200 Speaker 2: you know, just thinking to you good night. 472 00:24:54,600 --> 00:24:57,360 Speaker 3: You can pay somebody to do that. How would that look? 473 00:24:57,680 --> 00:25:00,280 Speaker 2: I can't imagine getting any satisfaction. 474 00:24:59,720 --> 00:25:00,800 Speaker 3: From the whatsoever. 475 00:25:01,040 --> 00:25:04,479 Speaker 2: Hey, you've got to delude yourself. You'd have to delude yourself. 476 00:25:04,600 --> 00:25:07,239 Speaker 2: The person I'm paying just texted me to say good night. 477 00:25:07,720 --> 00:25:11,960 Speaker 3: Hi, good night everybody. John Fetterman, he's mine. 478 00:25:12,040 --> 00:25:15,719 Speaker 2: Yeah, God, that is horrifying, But I had another brain. 479 00:25:15,840 --> 00:25:15,959 Speaker 3: Oh. 480 00:25:16,000 --> 00:25:18,840 Speaker 2: So, the lead on Meet the Press was the Surgeon 481 00:25:18,920 --> 00:25:22,560 Speaker 2: General saying a while back that we have a loneliness epidemic. 482 00:25:23,000 --> 00:25:26,879 Speaker 2: It's cutting years off people's lives. It's it's a leading 483 00:25:27,000 --> 00:25:30,800 Speaker 2: killer because because it causes all kinds of different problems. 484 00:25:31,760 --> 00:25:34,639 Speaker 2: So do you think it's just flat loneliness because of 485 00:25:34,680 --> 00:25:36,119 Speaker 2: all the stuff where you've just described. 486 00:25:36,440 --> 00:25:39,600 Speaker 4: Yeah, I think it's a it's a vicious circle of loneliness. 487 00:25:39,600 --> 00:25:47,120 Speaker 4: For the reasons we've been discussing. You have this antiseptic simulacrum, 488 00:25:47,359 --> 00:25:51,840 Speaker 4: a faux relationship with various people from you know, and 489 00:25:51,880 --> 00:25:56,960 Speaker 4: that you have your only fans, girl texts you think 490 00:25:57,080 --> 00:25:59,400 Speaker 4: of you, and then you begin to think, I mean 491 00:25:59,480 --> 00:26:04,600 Speaker 4: it's it's a stripper saying, oh, you're handsome on steroids, 492 00:26:04,960 --> 00:26:08,720 Speaker 4: and people are primed to actually believe it. It's like, 493 00:26:08,880 --> 00:26:10,960 Speaker 4: you know, falling in love with a damn robot. It's 494 00:26:11,040 --> 00:26:13,040 Speaker 4: it's it's it's awful. 495 00:26:13,600 --> 00:26:17,639 Speaker 2: So if we're at the loneliness epidemic right when AI 496 00:26:17,840 --> 00:26:20,879 Speaker 2: is taking off, and like only Fans has only been 497 00:26:20,920 --> 00:26:22,560 Speaker 2: around for a few years, it just seems like the 498 00:26:22,600 --> 00:26:26,640 Speaker 2: timing is the The cures are coming cures. I guess 499 00:26:26,680 --> 00:26:28,399 Speaker 2: I'll use my finger quote because it's not curing the 500 00:26:28,440 --> 00:26:31,320 Speaker 2: underlying problem. But I don't know the ointment or the 501 00:26:31,400 --> 00:26:34,879 Speaker 2: salve for the problem. They are getting They're getting better. 502 00:26:35,280 --> 00:26:38,840 Speaker 4: Yeah, the band aids over the gaping wound are getting better. 503 00:26:39,119 --> 00:26:41,439 Speaker 4: I would go with, oh, yes, yes, here's a really 504 00:26:41,600 --> 00:26:45,480 Speaker 4: nice band aid. Look, it completely covers the gaping wound. Yeah, 505 00:26:45,520 --> 00:26:48,200 Speaker 4: I'm telling you the human kind is doomed. 506 00:26:48,760 --> 00:26:50,280 Speaker 1: The Armstrong and Getty show. 507 00:26:52,080 --> 00:26:53,879 Speaker 3: I got to handle this very delicately. 508 00:26:54,320 --> 00:26:57,280 Speaker 2: Okay, I want to handle it delicately for this very 509 00:26:57,359 --> 00:26:59,840 Speaker 2: nice mom who sent us a text. I will switch 510 00:26:59,920 --> 00:27:04,439 Speaker 2: in too delicate mode on your advice, combined with harsh 511 00:27:04,480 --> 00:27:09,280 Speaker 2: mode I think is necessary. So this, this, well, this 512 00:27:09,359 --> 00:27:11,680 Speaker 2: is why we can't have nice things. As the cliche goes, 513 00:27:12,200 --> 00:27:16,280 Speaker 2: this is why demagoguing issues in politics works. I guess 514 00:27:16,880 --> 00:27:19,280 Speaker 2: so an hour three. If you didn't hear it, get 515 00:27:19,320 --> 00:27:21,680 Speaker 2: the podcast Armstrong and getting on demand. Joe got into 516 00:27:21,720 --> 00:27:28,040 Speaker 2: the whole big beautiful bill Medicaid thing. We're getting ripped 517 00:27:28,080 --> 00:27:31,240 Speaker 2: off like crazy with Medicaid. We're gonna get into more 518 00:27:31,280 --> 00:27:33,560 Speaker 2: of it tomorrow with Craig Gottwaltsho was an expert in this. 519 00:27:33,640 --> 00:27:37,280 Speaker 2: But we're getting ripped off like crazy, all kinds of 520 00:27:37,440 --> 00:27:42,400 Speaker 2: healthy people. You're paying for their health care and other 521 00:27:42,480 --> 00:27:46,160 Speaker 2: stuff for no good reason whatsoever other than then nobody 522 00:27:46,240 --> 00:27:47,360 Speaker 2: keeps track of this sort of thing. 523 00:27:47,840 --> 00:27:51,359 Speaker 4: And because it buys votes, that's that's like the entire 524 00:27:51,400 --> 00:27:52,600 Speaker 4: reason you're paying for it. 525 00:27:52,720 --> 00:27:56,720 Speaker 2: And Phil Graham, former senator from Texas from back in 526 00:27:56,720 --> 00:27:58,600 Speaker 2: the day, tried to run for president once, but he's 527 00:27:58,640 --> 00:28:01,440 Speaker 2: way too smart to be president. A PhD in economics 528 00:28:03,359 --> 00:28:05,480 Speaker 2: wrote a piece about how, no, this is where the 529 00:28:05,480 --> 00:28:08,760 Speaker 2: money is. You talk about social Security, you know, and 530 00:28:08,800 --> 00:28:11,359 Speaker 2: cutbacks and everything like, No, the money where we need 531 00:28:11,480 --> 00:28:19,080 Speaker 2: to do something is in medicaid. So we get this text, Hey, 532 00:28:19,119 --> 00:28:23,199 Speaker 2: I have a daughter who's disabled and un Medicaid and 533 00:28:23,240 --> 00:28:26,199 Speaker 2: social Security, and I get that you guys who are 534 00:28:26,200 --> 00:28:28,639 Speaker 2: trying to get people riled up and listening to show 535 00:28:29,200 --> 00:28:31,399 Speaker 2: and I'm a strong Republican, but what you're missing is 536 00:28:31,440 --> 00:28:33,720 Speaker 2: and then she lays out the story of how her 537 00:28:33,720 --> 00:28:37,080 Speaker 2: disabled daughter can't take care of herself at all, never 538 00:28:37,160 --> 00:28:40,040 Speaker 2: will be able to in her life. Unbelievable, what you're 539 00:28:40,080 --> 00:28:44,000 Speaker 2: dealing with. I can't even imagine, and how she needs 540 00:28:44,040 --> 00:28:47,200 Speaker 2: that money and we don't have the courage to call 541 00:28:47,240 --> 00:28:48,960 Speaker 2: her back and talk to her and get the facts 542 00:28:48,960 --> 00:28:52,360 Speaker 2: on this story about her disabled daughter and how much 543 00:28:52,400 --> 00:28:53,440 Speaker 2: she needs Medicaid. 544 00:28:54,360 --> 00:28:59,280 Speaker 4: There will not be a single disabled person affected in any. 545 00:28:59,080 --> 00:29:01,400 Speaker 3: Way by the proposs cuts, not one. 546 00:29:01,560 --> 00:29:05,360 Speaker 2: And there isn't a single person us or anybody else 547 00:29:05,640 --> 00:29:11,000 Speaker 2: arguing for someone like your daughter having their money cut. 548 00:29:12,200 --> 00:29:15,040 Speaker 4: Argue strenuously one hundred and eighty degrees in the other direction. 549 00:29:17,920 --> 00:29:21,240 Speaker 2: This is why you demogogue these issues though, because he 550 00:29:21,320 --> 00:29:24,320 Speaker 2: even it's sir that yes, her poor daughter, and she 551 00:29:24,440 --> 00:29:26,480 Speaker 2: will be left high and dry by the mean Republicans. 552 00:29:26,600 --> 00:29:29,840 Speaker 3: That is one hundred and eighty degrees opposite of the 553 00:29:29,880 --> 00:29:34,440 Speaker 3: truth you said. They've convinced her. We convinced her even with. 554 00:29:34,480 --> 00:29:39,920 Speaker 2: You only talking about the scammers, right Her takeaway was 555 00:29:41,040 --> 00:29:42,880 Speaker 2: like you and I are in favor of cutting her 556 00:29:42,960 --> 00:29:43,880 Speaker 2: daughter's money. 557 00:29:45,600 --> 00:29:48,360 Speaker 3: I mean, if that's the way it lands, no. 558 00:29:48,320 --> 00:29:51,719 Speaker 2: Wonder politicians don't cost with on one hundred miles of 559 00:29:51,760 --> 00:29:54,600 Speaker 2: even trying to stop the scumbag liars. 560 00:29:55,680 --> 00:29:58,680 Speaker 3: Right, Yeah, it's unfortunate, isn't it. 561 00:29:58,680 --> 00:30:03,680 Speaker 2: It is a highly unfortand you could stand and we've 562 00:30:03,720 --> 00:30:05,320 Speaker 2: seen this, We've been doing this for a long time. 563 00:30:05,600 --> 00:30:07,600 Speaker 2: You can, as a politician, stand up in front of 564 00:30:07,600 --> 00:30:11,240 Speaker 2: a crowd and say, look, nobody here currently getting Social 565 00:30:11,280 --> 00:30:13,080 Speaker 2: Security that's over the age of sixty five. 566 00:30:13,320 --> 00:30:15,960 Speaker 3: We'll see any a dime of that cut in their lifetime. 567 00:30:16,400 --> 00:30:19,680 Speaker 2: But and then everything after the butt gets portrayed as you, 568 00:30:19,760 --> 00:30:21,640 Speaker 2: as an old person, are gonna starve. 569 00:30:22,080 --> 00:30:28,480 Speaker 4: Right, And it's just there's just no getting around it, apparently, right, right, man. 570 00:30:28,560 --> 00:30:32,000 Speaker 3: I feel for you, ma'am, what the rough situation you're 571 00:30:32,040 --> 00:30:34,120 Speaker 3: in doing God's work trying to deal with that. 572 00:30:34,600 --> 00:30:41,480 Speaker 2: But nobody us or anybody is suggesting cutting the program 573 00:30:41,520 --> 00:30:42,600 Speaker 2: for people like your daughter. 574 00:30:43,320 --> 00:30:47,440 Speaker 3: Nobody, right, we would have more money for people like 575 00:30:47,480 --> 00:30:48,960 Speaker 3: your daughter if the. 576 00:30:49,040 --> 00:30:52,400 Speaker 2: Freaking healthy twenty eight year old dude playing video games 577 00:30:52,400 --> 00:30:56,560 Speaker 2: and laughing at us wasn't getting all his stuff paid for, right. 578 00:30:58,720 --> 00:31:01,000 Speaker 3: I don't know what you do with the reality of this. 579 00:31:03,040 --> 00:31:07,680 Speaker 3: I think if you were to sit down with Carl 580 00:31:07,800 --> 00:31:08,440 Speaker 3: Rove and. 581 00:31:09,960 --> 00:31:12,680 Speaker 4: James Carvill I'm trying to be by partner, maybe Donald Trump, 582 00:31:13,560 --> 00:31:19,000 Speaker 4: Donald Trump, Charles Crouthammer, Jesus and John Wayne. 583 00:31:19,520 --> 00:31:22,360 Speaker 3: They would that's quite a crowd, they would. 584 00:31:22,160 --> 00:31:25,479 Speaker 4: Say, Jackie boy, Joseph, here's the story. 585 00:31:26,840 --> 00:31:28,920 Speaker 3: That's what politics is. Grow up. 586 00:31:30,520 --> 00:31:33,640 Speaker 4: You always talk about trying to frighten or entice the 587 00:31:33,720 --> 00:31:36,840 Speaker 4: herd in one direction or another, as if you're too 588 00:31:36,960 --> 00:31:39,200 Speaker 4: good and too smart for that. 589 00:31:39,200 --> 00:31:40,520 Speaker 3: That's politics. 590 00:31:40,800 --> 00:31:43,280 Speaker 2: I understand what you're saying that politicians go out there 591 00:31:43,320 --> 00:31:44,960 Speaker 2: and try to frighten you on this stuff. What I'm 592 00:31:45,440 --> 00:31:50,240 Speaker 2: concerned about is we made it clear we weren't trying. 593 00:31:50,360 --> 00:31:54,280 Speaker 2: We weren't claiming they're coming for your to take your 594 00:31:54,280 --> 00:31:57,440 Speaker 2: disabled daughter's medic care. Politicians will say that sort of 595 00:31:57,440 --> 00:32:01,360 Speaker 2: stuff medicaid. Yeah, we weren't saying the opposite, and it's 596 00:32:01,400 --> 00:32:04,080 Speaker 2: still landed as if we were. 597 00:32:04,640 --> 00:32:05,560 Speaker 3: That's what troubles me. 598 00:32:06,240 --> 00:32:08,840 Speaker 4: Yeah, I think that's squarely in the department of things. 599 00:32:08,880 --> 00:32:13,960 Speaker 4: I can't do anything about. It's Uh, it's striking. I 600 00:32:14,320 --> 00:32:17,560 Speaker 4: totally get your being troubled by that. 601 00:32:19,640 --> 00:32:21,200 Speaker 2: Like I said, if you're a politician, you get up 602 00:32:21,200 --> 00:32:23,280 Speaker 2: on stage and make it clear that I'm not interested 603 00:32:23,280 --> 00:32:25,200 Speaker 2: in cutting your social security. But people walk out of 604 00:32:25,240 --> 00:32:29,320 Speaker 2: the room thinking they're going to take my SOLFI security. Yeah, well, 605 00:32:29,320 --> 00:32:33,320 Speaker 2: that we're done here, then I guess yes. 606 00:32:32,640 --> 00:32:35,000 Speaker 4: As a as a country, you mean yes, or as 607 00:32:35,040 --> 00:32:39,120 Speaker 4: a system of government people, well, self governance doesn't work, 608 00:32:39,120 --> 00:32:44,240 Speaker 4: that's my point. Uh yeah, Well the great Scottish philosopher 609 00:32:44,360 --> 00:32:47,600 Speaker 4: what's his face? Uh, with the you know, the republic 610 00:32:47,680 --> 00:32:50,640 Speaker 4: will last only until the populace realizes they can vote 611 00:32:50,640 --> 00:32:54,200 Speaker 4: themselves money from the treasury. And and what he didn't 612 00:32:54,240 --> 00:32:58,520 Speaker 4: suspect is that, or maybe he did, was that there. 613 00:32:58,480 --> 00:33:01,640 Speaker 3: That politicians would be able to convince. 614 00:33:03,480 --> 00:33:06,000 Speaker 4: Virtually all of the population that any effort to rein 615 00:33:06,040 --> 00:33:08,960 Speaker 4: that in was indeed an attack on them and their 616 00:33:09,280 --> 00:33:09,840 Speaker 4: well being. 617 00:33:09,960 --> 00:33:12,720 Speaker 3: So yeah, it doesn't work. 618 00:33:14,000 --> 00:33:19,040 Speaker 4: The great, you know, overarching Joe Getti principle, there are 619 00:33:19,040 --> 00:33:21,880 Speaker 4: actually several of them, many of them contradict each other, 620 00:33:22,720 --> 00:33:29,400 Speaker 4: is that all systems can last only until those who 621 00:33:29,480 --> 00:33:31,000 Speaker 4: had gained the system. 622 00:33:32,960 --> 00:33:34,880 Speaker 3: Win over those who would protect a system. 623 00:33:35,760 --> 00:33:38,320 Speaker 4: And it's like, you know, the constant battle between hackers 624 00:33:38,320 --> 00:33:39,800 Speaker 4: and cybersecurity experts. 625 00:33:42,040 --> 00:33:43,360 Speaker 3: There comes a point in a. 626 00:33:43,440 --> 00:33:48,480 Speaker 4: Like a governmental system, where a combination of manipulating the 627 00:33:48,560 --> 00:33:52,320 Speaker 4: voters and then manipulating the systems behind the scenes becomes 628 00:33:52,360 --> 00:33:58,400 Speaker 4: so sophisticated that the immune system of a democracy is insufficient. 629 00:33:58,760 --> 00:34:03,560 Speaker 4: It's like a septic in in the bloodstream. So monarchy now, 630 00:34:03,640 --> 00:34:05,520 Speaker 4: I don't know, I'm old, y'all figured out. 631 00:34:05,520 --> 00:34:06,000 Speaker 3: Good luck. 632 00:34:07,640 --> 00:34:13,520 Speaker 2: If you're old already, nobody is gonna touch your social 633 00:34:13,520 --> 00:34:19,560 Speaker 2: security period. Now, if you are actually disabled, nobody's gonna 634 00:34:19,560 --> 00:34:20,880 Speaker 2: take your money period. 635 00:34:21,480 --> 00:34:27,959 Speaker 3: Nobody wants to. Nobody's even suggested it, right, and yet 636 00:34:28,160 --> 00:34:30,080 Speaker 3: it is the easiest cell in the world. 637 00:34:30,280 --> 00:34:33,919 Speaker 4: If any Republicans say we're gonna rain in Medicaid waste 638 00:34:33,920 --> 00:34:36,640 Speaker 4: fraud abuse, they're gonna come take the money out of 639 00:34:36,680 --> 00:34:39,120 Speaker 4: the mouths of your disabled children, and people believe them. 640 00:34:39,160 --> 00:34:41,680 Speaker 3: So what are you gonna do. 641 00:34:44,480 --> 00:34:48,400 Speaker 4: I'm in an accepting mood today. I have accepted it, 642 00:34:48,880 --> 00:34:52,160 Speaker 4: probably because I'm excited about my new political part party, 643 00:34:52,200 --> 00:34:53,720 Speaker 4: the f y'all it cans. 644 00:34:55,840 --> 00:34:59,759 Speaker 2: You gotta have AI design a logo because that's a 645 00:34:59,800 --> 00:35:02,200 Speaker 2: good I like the fans. 646 00:35:01,719 --> 00:35:05,759 Speaker 3: Capital f capital y apostrophe, A L L. 647 00:35:07,760 --> 00:35:13,040 Speaker 4: Dash I dash cans f y'all ackns. 648 00:35:13,719 --> 00:35:16,000 Speaker 3: We need an animal though maybe the turkey. 649 00:35:17,520 --> 00:35:21,440 Speaker 4: Is the donkey and the elephant are taken clearly, maybe 650 00:35:21,480 --> 00:35:22,360 Speaker 4: we have the turkey. 651 00:35:22,680 --> 00:35:25,680 Speaker 2: Has heard in a previous clip which been Franklin wanted 652 00:35:25,719 --> 00:35:26,560 Speaker 2: to be our national bird 653 00:35:27,680 --> 00:35:32,120 Speaker 1: Jack Armstrong and Joe The Armstrong and Getty Show