1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,240 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,160 --> 00:00:18,079 Speaker 2: Arm Strong and Gatty, and he Armstrong and Getty. 4 00:00:25,360 --> 00:00:29,880 Speaker 3: They will just either tell me to stay in a 5 00:00:29,920 --> 00:00:34,720 Speaker 3: corner and slee or just draw up his shures flowers 6 00:00:34,720 --> 00:00:35,960 Speaker 3: for them. 7 00:00:36,880 --> 00:00:40,160 Speaker 4: That is a former Connecticut high school student Suinger School 8 00:00:40,200 --> 00:00:42,920 Speaker 4: District because she graduated without being taught how to read 9 00:00:42,960 --> 00:00:46,080 Speaker 4: and write. And this might be the only way to 10 00:00:46,080 --> 00:00:47,839 Speaker 4: fix this problem in the United States of. 11 00:00:47,840 --> 00:00:49,320 Speaker 2: America is it's currently constituted. 12 00:00:49,360 --> 00:00:51,199 Speaker 4: It seems the only way you can get anywhere is 13 00:00:51,200 --> 00:00:53,720 Speaker 4: if somebody's afraid of getting sued. That's pretty much the 14 00:00:53,720 --> 00:00:56,440 Speaker 4: only leverage you have. And if schools had to be 15 00:00:56,480 --> 00:00:59,480 Speaker 4: afraid of getting sued for gazillions of dollars because hey, 16 00:00:59,520 --> 00:01:01,560 Speaker 4: you graduate way to a kid who can't read or write, 17 00:01:02,000 --> 00:01:03,360 Speaker 4: that might be the only way to hold them to 18 00:01:03,400 --> 00:01:04,000 Speaker 4: some standards. 19 00:01:04,680 --> 00:01:08,520 Speaker 1: Wow, that is some harsh justice, But I like the idea. 20 00:01:08,720 --> 00:01:11,280 Speaker 1: There are a small handful of cases like this around 21 00:01:11,319 --> 00:01:12,440 Speaker 1: the country that I've read about. 22 00:01:12,680 --> 00:01:13,800 Speaker 2: How does it not happen more? 23 00:01:14,080 --> 00:01:16,760 Speaker 1: Something has to change. It reminds me of people who 24 00:01:16,800 --> 00:01:19,680 Speaker 1: are complaining about doge moving too fast, and this poor 25 00:01:19,720 --> 00:01:22,199 Speaker 1: person had to leave their their job with a box 26 00:01:22,280 --> 00:01:24,000 Speaker 1: and they don't know where to live, and I do 27 00:01:24,080 --> 00:01:26,640 Speaker 1: sympathize with them on a human level, but there is 28 00:01:27,319 --> 00:01:32,080 Speaker 1: zero chance that we can reform our utterly diseased education 29 00:01:32,200 --> 00:01:35,160 Speaker 1: systems without cracking a few eggs to make the omelet 30 00:01:35,400 --> 00:01:38,520 Speaker 1: to use the torture cliche. If you did not hear 31 00:01:38,600 --> 00:01:42,319 Speaker 1: our previous discussion about the state of schooling and immigration 32 00:01:42,400 --> 00:01:44,759 Speaker 1: the rest of it at last Hour Gravit Vire podcast 33 00:01:45,160 --> 00:01:46,680 Speaker 1: Armstrong and Getty on demand. 34 00:01:46,480 --> 00:01:48,560 Speaker 2: You probably gotta subscribe anyway. 35 00:01:48,760 --> 00:01:50,480 Speaker 1: A couple of things to clean up, then we'll begin 36 00:01:51,120 --> 00:01:52,040 Speaker 1: Bengo bango bonga. 37 00:01:53,640 --> 00:01:56,080 Speaker 4: One more sentence with a head of steam about that topic. 38 00:01:56,200 --> 00:02:00,480 Speaker 2: Oh, go ahead. How freaking evil is it. 39 00:02:01,520 --> 00:02:03,600 Speaker 4: To graduate a kid who can't read or write and 40 00:02:03,640 --> 00:02:04,760 Speaker 4: send him out into the world. 41 00:02:05,040 --> 00:02:07,280 Speaker 2: I mean, that is flat out evil. 42 00:02:07,560 --> 00:02:11,640 Speaker 4: And how many adults who have, in theory dedicated their 43 00:02:11,680 --> 00:02:15,560 Speaker 4: lives to education knew that kid couldn't read or write 44 00:02:16,040 --> 00:02:18,919 Speaker 4: for so many years before they send him out into 45 00:02:18,960 --> 00:02:20,800 Speaker 4: the world where they've got no chance. 46 00:02:20,919 --> 00:02:25,079 Speaker 2: I mean that is flat evil. And that young lady is. 47 00:02:25,320 --> 00:02:28,680 Speaker 1: A representative of hundreds of thousands of millions of kids 48 00:02:28,720 --> 00:02:33,119 Speaker 1: like that, especially in urban schools, who they don't even 49 00:02:33,160 --> 00:02:37,280 Speaker 1: try to teach anyway. It's a huge problem. Not insurmountable, 50 00:02:37,320 --> 00:02:41,400 Speaker 1: but huge. Couple of things. The UH medication that I 51 00:02:41,440 --> 00:02:43,880 Speaker 1: recommend to Jack that actually works if you have cold 52 00:02:43,919 --> 00:02:46,519 Speaker 1: flew that sort of thing musin X, thank you to 53 00:02:46,600 --> 00:02:47,240 Speaker 1: my dear wife. 54 00:02:47,480 --> 00:02:49,760 Speaker 2: Text. Okay, I've seen that on the aisle. Get some 55 00:02:49,800 --> 00:02:50,519 Speaker 2: of that today. 56 00:02:50,680 --> 00:02:52,839 Speaker 1: You can get it with or without a cough suppressant. 57 00:02:52,880 --> 00:02:55,120 Speaker 1: I always take it to sleep and for the show 58 00:02:55,200 --> 00:02:57,000 Speaker 1: with a cough suppressant twelve hours. 59 00:02:57,080 --> 00:03:00,200 Speaker 2: It actually works and it fings your secretions. You say, 60 00:03:00,240 --> 00:03:04,160 Speaker 2: oh yeah, it's thin as a supermodel. Yep, yeah, fabulous 61 00:03:04,200 --> 00:03:06,800 Speaker 2: like a stratus. We get anyway by that today. So 62 00:03:06,960 --> 00:03:08,359 Speaker 2: a little bingo bango bango. Oh. 63 00:03:08,360 --> 00:03:12,440 Speaker 1: First of all, let's hold, let's hear from Donald Trump Junior. First, Hanson, 64 00:03:12,480 --> 00:03:12,760 Speaker 1: thank you. 65 00:03:14,160 --> 00:03:18,680 Speaker 5: The administration now is functioning so effectively and so efficiently 66 00:03:19,040 --> 00:03:22,520 Speaker 5: that by the time the liberal media gets their narrative 67 00:03:22,600 --> 00:03:25,680 Speaker 5: talking points in line, the administration is three or four 68 00:03:25,720 --> 00:03:28,600 Speaker 5: issues down the road. They can never catch up. It's 69 00:03:28,639 --> 00:03:31,560 Speaker 5: glorious to watch, and they continue to self disrupt, you know, 70 00:03:31,600 --> 00:03:33,880 Speaker 5: they continue to run the same playbook at me. Yesterday, 71 00:03:33,919 --> 00:03:36,600 Speaker 5: I was pro Russia. You know the usual, you know, Russia, Russia, Russia. 72 00:03:36,600 --> 00:03:38,200 Speaker 2: Here we go again. It's like take twelve. 73 00:03:39,360 --> 00:03:43,360 Speaker 1: So Don Junior is they're discussing the deep fake video 74 00:03:43,440 --> 00:03:45,800 Speaker 1: that came out of him saying we should be Russia's 75 00:03:45,800 --> 00:03:50,280 Speaker 1: ally and send them arms. It was AI generated, which 76 00:03:50,360 --> 00:03:53,720 Speaker 1: is I mean, the particulars of the story, you're interesting, 77 00:03:53,760 --> 00:03:56,360 Speaker 1: But the fact that we are now officially in that era, 78 00:03:56,520 --> 00:04:02,160 Speaker 1: we're utterly convincing AI generated faker is everywhere. Yike's good 79 00:04:02,240 --> 00:04:06,000 Speaker 1: luck to all of us. Anyway, I thought this was delightful. 80 00:04:06,640 --> 00:04:11,960 Speaker 1: After President Trump won in November, the Democratic National Committee 81 00:04:12,000 --> 00:04:15,640 Speaker 1: launched a rapid response social media account called fact post 82 00:04:16,720 --> 00:04:22,080 Speaker 1: to combat online misinformation. That's a quote, they're fact checkers, 83 00:04:22,160 --> 00:04:27,040 Speaker 1: Jack Well. On Wednesday, the account published the fabricated audio 84 00:04:27,400 --> 00:04:29,640 Speaker 1: the deep fact of Don Junior calling on the United 85 00:04:29,640 --> 00:04:32,640 Speaker 1: States star and Russia, et cetera, et cetera, retweeted it 86 00:04:32,680 --> 00:04:35,560 Speaker 1: and spread it around until it became utterly clear it 87 00:04:35,560 --> 00:04:37,440 Speaker 1: was fake, and then they took it down again. But yes, 88 00:04:37,520 --> 00:04:42,000 Speaker 1: the great DNC fact checkers that exist to combat online 89 00:04:42,040 --> 00:04:44,479 Speaker 1: misinformation were spreading the video as fast as they could. 90 00:04:44,720 --> 00:04:47,000 Speaker 2: Uh yeah, it's tough though. 91 00:04:48,920 --> 00:04:51,520 Speaker 4: To blame them for falling for that. I mean sure 92 00:04:51,560 --> 00:04:52,120 Speaker 4: sounded real. 93 00:04:52,680 --> 00:04:56,400 Speaker 1: Well yeah, but if you exist to battle online disinformation, 94 00:04:56,880 --> 00:05:00,000 Speaker 1: what are your standards for what you publish? 95 00:05:00,320 --> 00:05:08,800 Speaker 2: That's why you had one job moving along. This is exciting. 96 00:05:10,160 --> 00:05:13,680 Speaker 1: Pete Hegsa's one of his top priorities at the Pentagon 97 00:05:13,800 --> 00:05:16,960 Speaker 1: in his very very early days doing the job is 98 00:05:17,120 --> 00:05:24,120 Speaker 1: seeking out exciting new startups and industries that are ushering 99 00:05:24,160 --> 00:05:28,279 Speaker 1: in the future of warfare, de emphasizing, or at least 100 00:05:28,320 --> 00:05:32,560 Speaker 1: not just by sheer force of habit. Going with the 101 00:05:32,600 --> 00:05:35,560 Speaker 1: big giant companies in their big giant weapons systems, they 102 00:05:35,600 --> 00:05:40,679 Speaker 1: are actively searching out and funding new exciting high tech 103 00:05:40,720 --> 00:05:41,600 Speaker 1: weapons systems. 104 00:05:42,279 --> 00:05:42,479 Speaker 2: God. 105 00:05:42,560 --> 00:05:46,080 Speaker 4: I was listening to a podcast yesterday. It had some 106 00:05:46,640 --> 00:05:50,640 Speaker 4: former Special Forces guy they're interviewing talking about how the 107 00:05:50,680 --> 00:05:54,320 Speaker 4: war in Ukraine has changed everything and the next big 108 00:05:54,360 --> 00:05:57,799 Speaker 4: war people will realize that who haven't been paying attention, 109 00:05:58,040 --> 00:06:02,360 Speaker 4: But it was around these small drones and how cheaply 110 00:06:02,680 --> 00:06:07,840 Speaker 4: and quickly you can put together an almost unstoppable attack. 111 00:06:08,400 --> 00:06:11,400 Speaker 4: He said, this is as big a change. This has 112 00:06:11,440 --> 00:06:14,000 Speaker 4: got to be hyperbole, But if it's even close it's amazing. 113 00:06:14,160 --> 00:06:18,360 Speaker 4: He said, this is a bigger change in warfare since 114 00:06:18,600 --> 00:06:21,839 Speaker 4: Genghis Khan put stirrups on horses and was able to 115 00:06:22,440 --> 00:06:24,960 Speaker 4: roam over the landscape in a way that nobody could 116 00:06:24,960 --> 00:06:27,600 Speaker 4: stop them. It's just it's so different than anything that's 117 00:06:27,600 --> 00:06:30,320 Speaker 4: ever happened before. So again, I think that's probably hyperbole, 118 00:06:30,520 --> 00:06:31,960 Speaker 4: but if it's even close. 119 00:06:32,200 --> 00:06:34,120 Speaker 2: Then holy crap. And I hope we're. 120 00:06:36,320 --> 00:06:39,320 Speaker 4: Coming up with ways to stop bad guys from doing 121 00:06:39,360 --> 00:06:41,040 Speaker 4: it to us and getting really good at being the 122 00:06:41,040 --> 00:06:42,240 Speaker 4: guys who do it to other people. 123 00:06:42,880 --> 00:06:45,800 Speaker 1: Right, And whether Pete Hegseath ends up being a really 124 00:06:45,880 --> 00:06:48,160 Speaker 1: good Department of Defense leader or not, the jury is 125 00:06:48,160 --> 00:06:48,599 Speaker 1: still out. 126 00:06:48,640 --> 00:06:49,360 Speaker 2: I don't know. 127 00:06:50,360 --> 00:06:54,760 Speaker 1: But the spirit of the old boy backslapping, we've done 128 00:06:54,800 --> 00:06:57,279 Speaker 1: this for fifty years, so we're gonna keep doing it. 129 00:06:57,480 --> 00:07:01,920 Speaker 1: That vibe is definitely out, and I think it's a 130 00:07:01,960 --> 00:07:05,919 Speaker 1: sign of perhaps really really good stuff ahead. Speaking of 131 00:07:05,960 --> 00:07:11,040 Speaker 1: drones and technology, a secret US drone program helped capture 132 00:07:12,200 --> 00:07:16,840 Speaker 1: several Mexican cartel bosses. Intelligence provided by the unarmed drones 133 00:07:16,960 --> 00:07:20,480 Speaker 1: was essential the rest of l Chapo, one of his sons, 134 00:07:20,480 --> 00:07:25,280 Speaker 1: and other top drug smugglers. So evidently we haven't been 135 00:07:25,320 --> 00:07:29,080 Speaker 1: completely derelict in developing these technologies and are using them 136 00:07:29,080 --> 00:07:33,080 Speaker 1: to our advantage, including in Mexico, which is really really cool. 137 00:07:33,200 --> 00:07:35,880 Speaker 1: A little more stories that do not a lot of analysis, 138 00:07:35,880 --> 00:07:37,440 Speaker 1: but you ought to know them and we think you'll 139 00:07:37,480 --> 00:07:39,360 Speaker 1: find them interesting in a moment after a cocord from 140 00:07:39,360 --> 00:07:42,600 Speaker 1: our friends. It's simply Safe home security thanks in part 141 00:07:42,600 --> 00:07:45,360 Speaker 1: two progressive policies that have turned scumbags out on the 142 00:07:45,360 --> 00:07:49,000 Speaker 1: street and refused to criminalize crime. Every twenty six seconds 143 00:07:49,040 --> 00:07:52,040 Speaker 1: a burglary takes place in the US. 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Moving along, 165 00:08:51,040 --> 00:08:54,720 Speaker 1: they finally captured a couple of North Koreans fighting for Russia, 166 00:08:55,400 --> 00:08:59,120 Speaker 1: and they're in a state that they can actually be interviewed, 167 00:08:59,240 --> 00:09:01,839 Speaker 1: and it is exactly as we thought. 168 00:09:02,240 --> 00:09:03,880 Speaker 2: They were whisked away from North Korea. 169 00:09:04,160 --> 00:09:07,600 Speaker 1: Sometimes some of them were told, yes, the South Korean 170 00:09:07,720 --> 00:09:10,679 Speaker 1: devils are aiding the evil Ukraine, and we've got to 171 00:09:10,720 --> 00:09:14,839 Speaker 1: go defeat urar rivals, the South Koreans. And they didn't 172 00:09:14,840 --> 00:09:16,400 Speaker 1: know where they were going or what they were doing. 173 00:09:16,480 --> 00:09:19,080 Speaker 1: All of a sudden, they're in Ukraine, given a day 174 00:09:19,200 --> 00:09:21,480 Speaker 1: or two of training, then sent to get mowed down 175 00:09:21,520 --> 00:09:24,760 Speaker 1: by machine guns or drones or artillery. 176 00:09:25,280 --> 00:09:26,200 Speaker 2: Yeah, that article and. 177 00:09:26,280 --> 00:09:28,120 Speaker 4: They I think it was the New York times a 178 00:09:28,160 --> 00:09:31,240 Speaker 4: couple of weeks ago about the Russians they're grabbing out 179 00:09:31,240 --> 00:09:36,280 Speaker 4: of prisons and whatnot. Youngsters too. Sometimes they're dead within 180 00:09:36,440 --> 00:09:38,439 Speaker 4: fifteen minutes of arriving at the front. 181 00:09:39,160 --> 00:09:42,280 Speaker 2: Yeah, it's just you're here. Run that way, but they're 182 00:09:42,320 --> 00:09:42,920 Speaker 2: shooting at us. 183 00:09:43,040 --> 00:09:45,880 Speaker 4: Run that way, or I'm shooting you now right dead 184 00:09:46,040 --> 00:09:47,440 Speaker 4: fifteen minutes after you got there. 185 00:09:47,520 --> 00:09:48,400 Speaker 2: Jeez, that's horrible. 186 00:09:48,880 --> 00:09:51,520 Speaker 1: They were instructed to evade capture at all costs by 187 00:09:51,559 --> 00:09:55,400 Speaker 1: blowing themselves up if they had to, a message reinforced 188 00:09:55,400 --> 00:09:57,800 Speaker 1: by North Korean's secret police, who were there on the 189 00:09:57,880 --> 00:10:01,240 Speaker 1: ground making sure they are obe. They would read them 190 00:10:01,320 --> 00:10:04,240 Speaker 1: letters from Kim Jong un and make them transcribe them 191 00:10:04,240 --> 00:10:08,120 Speaker 1: by hand. One of the key lines in Fatthead's letter, 192 00:10:08,160 --> 00:10:10,440 Speaker 1: who as soon to be cannon fodder troops, was I 193 00:10:10,520 --> 00:10:15,760 Speaker 1: really miss you, comrades. He sat there swinging brandy in 194 00:10:15,800 --> 00:10:18,360 Speaker 1: his palace. I'm sure he did. Oh, this may be 195 00:10:18,440 --> 00:10:20,679 Speaker 1: my favorite story of the day. How predictable is this? 196 00:10:21,240 --> 00:10:24,600 Speaker 1: I love this headline Credit to the Free Beacon Journalists 197 00:10:24,640 --> 00:10:31,319 Speaker 1: outraged after WAPO owner endorses freedom. AH Post employees are 198 00:10:31,400 --> 00:10:32,480 Speaker 1: shocked and stunned. 199 00:10:32,720 --> 00:10:34,080 Speaker 2: You may remember we told. 200 00:10:33,920 --> 00:10:39,600 Speaker 1: You about this Jeff Bezos wrote, essentially, we will write 201 00:10:39,679 --> 00:10:42,160 Speaker 1: every day in support in defense of two pillars, personal 202 00:10:42,200 --> 00:10:46,200 Speaker 1: liberties and free markets. I am of American for American, 203 00:10:46,280 --> 00:10:48,120 Speaker 1: proud to be so. Our country did not get here 204 00:10:48,160 --> 00:10:50,680 Speaker 1: by being typical. And a big part of America's success 205 00:10:50,679 --> 00:10:54,000 Speaker 1: has been freedom in the economic realm and everywhere else. 206 00:10:54,400 --> 00:10:58,600 Speaker 2: And if you're not on board, go right. 207 00:10:58,760 --> 00:11:01,120 Speaker 4: If you want to write some thing that is against 208 00:11:01,280 --> 00:11:04,280 Speaker 4: personal freedom and economic freedom, do it somewhere else. 209 00:11:05,000 --> 00:11:08,840 Speaker 1: Right, And he said to his highly respected opinions editor, 210 00:11:08,920 --> 00:11:11,760 Speaker 1: if the answer isn't hell, yes, it's no. I have 211 00:11:11,800 --> 00:11:13,959 Speaker 1: a great deal of respect for you, but you need 212 00:11:14,000 --> 00:11:17,040 Speaker 1: to go well, sure enough, Shipley's the guy's name, he went. 213 00:11:17,440 --> 00:11:20,840 Speaker 1: Jeff Stein, an economics reporter at the Post, slammed Bezos's 214 00:11:20,880 --> 00:11:24,160 Speaker 1: pro freedom remarks as a massive encroachment on the opinion 215 00:11:24,240 --> 00:11:27,880 Speaker 1: section that made clear dissenting views will not be published 216 00:11:27,960 --> 00:11:28,520 Speaker 1: or tolerated. 217 00:11:28,559 --> 00:11:30,440 Speaker 2: There ye have views against freedom? 218 00:11:30,600 --> 00:11:30,640 Speaker 6: No. 219 00:11:31,640 --> 00:11:35,120 Speaker 1: Philip Bump, one of several openly democratic columnists at the Post, 220 00:11:35,480 --> 00:11:38,960 Speaker 1: said what the actual f on Blue Sky, the social 221 00:11:39,000 --> 00:11:42,920 Speaker 1: media for obnoxious liberals, Quoting Andrew Styles in The Beacon, 222 00:11:43,440 --> 00:11:49,800 Speaker 1: Kara Switcher Swisher, liberal tech journalist said it was utterly shameless. 223 00:11:50,440 --> 00:11:53,240 Speaker 1: Bezos is an adult toddler who had killed the First 224 00:11:53,280 --> 00:11:57,280 Speaker 1: Amendment and basic humanity in a vomitous spew of nonsense, 225 00:11:58,920 --> 00:12:01,360 Speaker 1: saying I love American We're all about freedom here. That's 226 00:12:01,400 --> 00:12:04,120 Speaker 1: a vomitous spew of nonsense. 227 00:12:04,400 --> 00:12:06,920 Speaker 4: So I would say, those of you on that end 228 00:12:06,960 --> 00:12:11,880 Speaker 4: of the spectrum way over there, keep fighting for big 229 00:12:11,920 --> 00:12:15,440 Speaker 4: government and making sure government workers can't get fired. Keep 230 00:12:15,480 --> 00:12:19,160 Speaker 4: fighting for the Washington Post should bad mouth personal freedom 231 00:12:19,720 --> 00:12:21,800 Speaker 4: and the free markets and see where they get you. 232 00:12:23,720 --> 00:12:26,600 Speaker 1: Some of their columnists, Karen Atilla, who had described the 233 00:12:26,600 --> 00:12:31,720 Speaker 1: October seventh attacks on Israel's decolonization, called bezos statement an 234 00:12:31,760 --> 00:12:33,920 Speaker 1: absolute stab in the back and an insult to those 235 00:12:33,960 --> 00:12:36,560 Speaker 1: of us who have literally put our careers and lives 236 00:12:36,559 --> 00:12:38,680 Speaker 1: on the line to call out threats to human rights 237 00:12:38,720 --> 00:12:39,520 Speaker 1: and democracy. 238 00:12:39,960 --> 00:12:42,480 Speaker 4: You put your life on the line, please. 239 00:12:42,679 --> 00:12:46,800 Speaker 1: Their definition of democracy is the opposite of democracy. And 240 00:12:46,840 --> 00:12:50,880 Speaker 1: then finally, Edward Loose, calumnists for the Financial Times, slammed 241 00:12:50,880 --> 00:12:55,280 Speaker 1: to Bezos at centa. Oh sorry, this is Amanda Cats, 242 00:12:56,280 --> 00:12:59,320 Speaker 1: who resigned from the Post opinion section in December. 243 00:12:59,600 --> 00:13:00,680 Speaker 2: Rip he wapo. 244 00:13:00,880 --> 00:13:05,600 Speaker 1: She wrote of Bezos championing freedom an absolute abandonment of 245 00:13:05,600 --> 00:13:09,560 Speaker 1: the principles of accountability of the powerful, justice, democracy, human rights, 246 00:13:09,559 --> 00:13:12,800 Speaker 1: and accurate information that previously animated the section in favor 247 00:13:12,840 --> 00:13:18,960 Speaker 1: of a white male billionaire's self interested agenda. All right, 248 00:13:19,200 --> 00:13:24,680 Speaker 1: keep scratching, keep yelling, keep demonstrating in favor of government bloat. 249 00:13:24,840 --> 00:13:26,959 Speaker 2: We'll see at the ballot box a lot of. 250 00:13:26,880 --> 00:13:30,240 Speaker 4: Textures coming out in favor of musin X, which you suggested. 251 00:13:30,280 --> 00:13:32,480 Speaker 2: So I'm gonna door dash some right now, we got 252 00:13:32,480 --> 00:13:37,959 Speaker 2: more on the way. Stay here. Imagine hopping in your car, 253 00:13:38,160 --> 00:13:40,240 Speaker 2: starting the ignition and taping flight. 254 00:13:40,679 --> 00:13:44,360 Speaker 7: Alfaironautics produced this prototype that can both hit the roads 255 00:13:44,400 --> 00:13:47,680 Speaker 7: and soar in the skies. A flying car dubbed Model 256 00:13:47,800 --> 00:13:51,280 Speaker 7: zero hovered over the road in California in a test 257 00:13:51,360 --> 00:13:53,320 Speaker 7: driver maybe we say test flight. 258 00:13:53,440 --> 00:13:54,120 Speaker 2: Not sure on that one. 259 00:13:54,160 --> 00:13:57,480 Speaker 7: In the company CEO, this could create a new market 260 00:13:57,720 --> 00:13:58,640 Speaker 7: in transportation. 261 00:13:59,679 --> 00:14:01,840 Speaker 4: Okay, so they tested out a flying car. 262 00:14:02,040 --> 00:14:04,520 Speaker 2: I haven't seen the video. Has anybody seen the videos? 263 00:14:04,559 --> 00:14:07,320 Speaker 4: It look more promising than any of the flying cars 264 00:14:07,320 --> 00:14:10,360 Speaker 4: that we've seen in the past. It's it still doesn't answer, 265 00:14:10,640 --> 00:14:13,120 Speaker 4: you know, the big questions with flying cars. I mean, 266 00:14:13,160 --> 00:14:14,680 Speaker 4: I just I don't know how you would have any 267 00:14:14,800 --> 00:14:17,319 Speaker 4: rules for who's got them? 268 00:14:17,360 --> 00:14:19,520 Speaker 2: Where do you get to fly them? All that sort 269 00:14:19,520 --> 00:14:19,840 Speaker 2: of stuff. 270 00:14:19,880 --> 00:14:22,880 Speaker 8: Yes, Katie, I saw the video and this thing needs 271 00:14:22,920 --> 00:14:24,720 Speaker 8: a lot of work. Looks like a Tonka toy. 272 00:14:24,760 --> 00:14:28,000 Speaker 1: In the FAA, which can't keep jets from crashing into 273 00:14:28,040 --> 00:14:30,880 Speaker 1: each other, is going to manage you know, a thousand 274 00:14:30,960 --> 00:14:34,600 Speaker 1: numb skulls driving quote unquote fire flying cars around LA 275 00:14:34,720 --> 00:14:35,200 Speaker 1: for instance. 276 00:14:35,240 --> 00:14:37,960 Speaker 4: I don't say a thousand, how about a half a million? 277 00:14:38,280 --> 00:14:42,200 Speaker 8: People can't properly operate vehicles on the on the ground, right, Yes, 278 00:14:42,240 --> 00:14:43,400 Speaker 8: this is not a good idea. 279 00:14:44,080 --> 00:14:47,320 Speaker 1: Yeah, if you've ever watched people at a four way stop, 280 00:14:47,520 --> 00:14:51,400 Speaker 1: picture adding another dimension to that, please kill me. 281 00:14:52,840 --> 00:14:55,240 Speaker 4: So I door dashed some usin X Joe swears by 282 00:14:55,280 --> 00:14:57,120 Speaker 4: it as a cold medicine. I was complaining that cold 283 00:14:57,160 --> 00:14:59,440 Speaker 4: medicine doesn't do anything, Joe says, Does I believe you? 284 00:14:59,560 --> 00:15:01,920 Speaker 4: Oh yeah, But I just doordashed some First of all, 285 00:15:01,920 --> 00:15:03,680 Speaker 4: it says I got to show an ID at a door. 286 00:15:03,840 --> 00:15:05,800 Speaker 4: What kind of jackpot have you gotten me into where 287 00:15:05,800 --> 00:15:07,480 Speaker 4: I've got to show an ID for this medicine? What 288 00:15:07,600 --> 00:15:12,480 Speaker 4: sort of heavy duty, breaking, bad sort of stuff is this? 289 00:15:13,160 --> 00:15:17,359 Speaker 1: It's manufactured south of the border, by a non governmental organization. 290 00:15:18,120 --> 00:15:22,160 Speaker 4: All right, anyway, it's shockingly expensive. Also, like everything is 291 00:15:22,200 --> 00:15:24,600 Speaker 4: in the modern world. The other thing going to my 292 00:15:24,840 --> 00:15:27,400 Speaker 4: CVS account and my door dash, I realized I hadn't 293 00:15:27,440 --> 00:15:31,240 Speaker 4: door dashed anything from CVS since last year's Super Bowl, 294 00:15:31,400 --> 00:15:34,400 Speaker 4: when I doordashed the beard dye because I watched one 295 00:15:34,400 --> 00:15:37,200 Speaker 4: of the Super Bowl heads and they suggested it was 296 00:15:37,320 --> 00:15:39,720 Speaker 4: really really effective the beard die and the guy was 297 00:15:39,720 --> 00:15:41,680 Speaker 4: getting all kinds of chicks with his new darker beard. 298 00:15:41,680 --> 00:15:44,520 Speaker 4: Oh yeah, So I got to go tea die and 299 00:15:44,880 --> 00:15:46,400 Speaker 4: I died it during the halftime of the. 300 00:15:46,320 --> 00:15:48,440 Speaker 2: Super Bowl, which I've looked at the pictures. They don't 301 00:15:48,520 --> 00:15:52,400 Speaker 2: then it didn't look that good. Although I got to 302 00:15:52,480 --> 00:15:53,200 Speaker 2: ease into that. 303 00:15:53,400 --> 00:15:56,560 Speaker 4: I see a lot of dudes doing it on TV. 304 00:15:56,720 --> 00:15:58,520 Speaker 4: I mean, now I can recognize it when it's just 305 00:15:58,600 --> 00:16:01,320 Speaker 4: way too dark because I did it, and that's what happens. 306 00:16:01,360 --> 00:16:03,120 Speaker 4: It's just way too dark and it doesn't fit with 307 00:16:03,160 --> 00:16:05,280 Speaker 4: your and the rest of your body. 308 00:16:06,080 --> 00:16:08,880 Speaker 8: I so, did you get the blue or the green? 309 00:16:09,000 --> 00:16:11,320 Speaker 2: Use next? I think both? 310 00:16:11,360 --> 00:16:14,960 Speaker 6: Why is there a difference? Oh yeah, yeah, oh yeah. 311 00:16:15,080 --> 00:16:16,520 Speaker 6: One of you may stick up you. I mean, what's 312 00:16:16,520 --> 00:16:20,160 Speaker 6: the difference, Well, one of them will knock you out. 313 00:16:20,440 --> 00:16:22,920 Speaker 6: Oh okay, okay, So it's like nighttime versus daytime. 314 00:16:23,600 --> 00:16:25,040 Speaker 2: Yeah, huh oh interesting. 315 00:16:25,080 --> 00:16:27,960 Speaker 1: I just I'm familiar with the cough suppressant and not 316 00:16:28,120 --> 00:16:28,960 Speaker 1: cough suppressant. 317 00:16:29,000 --> 00:16:32,560 Speaker 2: But I got the box that contains both night time 318 00:16:32,600 --> 00:16:33,040 Speaker 2: and daytime. 319 00:16:33,080 --> 00:16:36,000 Speaker 4: And I'm going to take a like a Gene Hackman 320 00:16:36,080 --> 00:16:37,200 Speaker 4: like nap later today is. 321 00:16:37,160 --> 00:16:37,480 Speaker 5: What I'm going. 322 00:16:38,360 --> 00:16:42,760 Speaker 2: Oh boy, okay, don't do that, boy? Yeah? Yeah. Any 323 00:16:43,040 --> 00:16:46,240 Speaker 2: updates on that story, by the way, ye for it. 324 00:16:46,280 --> 00:16:49,440 Speaker 4: But the texture who came up with, what's the deal 325 00:16:49,520 --> 00:16:51,600 Speaker 4: with the nine to one one call? 326 00:16:51,800 --> 00:16:53,280 Speaker 2: There's no way to get into the house. 327 00:16:53,360 --> 00:16:56,240 Speaker 4: And then the police stating very shortly when this after 328 00:16:56,320 --> 00:16:58,760 Speaker 4: this story broke of door was a jar. 329 00:16:59,560 --> 00:17:03,800 Speaker 2: Those two don't match. Yes, yeah, that is odd. 330 00:17:04,200 --> 00:17:07,040 Speaker 1: It doesn't prove anything, but it is that is one 331 00:17:07,160 --> 00:17:09,399 Speaker 1: a direction or inquiry will be going. 332 00:17:09,680 --> 00:17:09,840 Speaker 2: Yes. 333 00:17:09,920 --> 00:17:12,680 Speaker 4: Yeah, finding out the dog was in the crate blew 334 00:17:12,760 --> 00:17:15,359 Speaker 4: up my theory that the dog ate the pills that 335 00:17:15,440 --> 00:17:16,400 Speaker 4: the wipe spilled. 336 00:17:16,840 --> 00:17:19,119 Speaker 2: But night yeah. 337 00:17:19,720 --> 00:17:24,680 Speaker 8: Well. From People magazine dot Com about twenty five minutes ago, 338 00:17:24,680 --> 00:17:27,639 Speaker 8: apparently the sheriff is saying that the pill bottle found 339 00:17:27,640 --> 00:17:30,800 Speaker 8: near Hackman's wife is one of the most important pieces 340 00:17:30,800 --> 00:17:31,960 Speaker 8: of evidence in this case. 341 00:17:32,040 --> 00:17:36,119 Speaker 2: Well, of course, dull, what do you mean? Duh? What 342 00:17:36,160 --> 00:17:40,600 Speaker 2: do yeah? What? How is that a duh? 343 00:17:40,680 --> 00:17:43,640 Speaker 9: You you are If it's succiciently removed from the investigation, 344 00:17:43,800 --> 00:17:46,280 Speaker 9: I'm busting you down to street cop. If it was 345 00:17:46,480 --> 00:17:48,520 Speaker 9: to be wearing out your shoe leader, if it was 346 00:17:48,560 --> 00:17:50,040 Speaker 9: the sort of thing that you would take to if 347 00:17:50,040 --> 00:17:52,080 Speaker 9: you wanted to kill yourself in an overdose, it means 348 00:17:52,080 --> 00:17:53,879 Speaker 9: a lot more than if it's some pill that you 349 00:17:53,920 --> 00:17:55,560 Speaker 9: don't take that to kill yourself. 350 00:17:56,200 --> 00:17:57,520 Speaker 2: But that wasn't known. 351 00:17:58,119 --> 00:18:03,360 Speaker 1: Again you hear off the investigation coming up really really 352 00:18:03,480 --> 00:18:07,400 Speaker 1: insightful peace on why women are so miserable right now 353 00:18:07,760 --> 00:18:10,200 Speaker 1: and woke and it's related. 354 00:18:10,840 --> 00:18:13,040 Speaker 2: Wow. If you missed a segment or now get podcast. 355 00:18:13,880 --> 00:18:20,480 Speaker 4: Armstrong and Geeddy come by Freedom. 356 00:18:26,760 --> 00:18:31,480 Speaker 6: We Love. 357 00:18:57,440 --> 00:19:01,320 Speaker 2: Everybody for their sixteenth birthday. 358 00:19:01,359 --> 00:19:03,560 Speaker 1: It's not clear to me what they're referencing there, but 359 00:19:04,160 --> 00:19:07,359 Speaker 1: one of the most ironic and pathetic couse plays of 360 00:19:07,560 --> 00:19:09,800 Speaker 1: revolutionary bravery I have ever witnessed. 361 00:19:10,560 --> 00:19:14,840 Speaker 2: The Northeast colleges of the United States have no equal. 362 00:19:16,560 --> 00:19:18,600 Speaker 4: Well, the only thing we have to lose is are chains. 363 00:19:19,200 --> 00:19:24,120 Speaker 4: What the hell are you talking about? You privileged, pampered God, 364 00:19:24,160 --> 00:19:26,240 Speaker 4: it's so you should be embarrassed. 365 00:19:27,119 --> 00:19:27,720 Speaker 2: And then they go. 366 00:19:29,760 --> 00:19:32,080 Speaker 1: Then they go off to their women's studies majors and 367 00:19:32,160 --> 00:19:35,080 Speaker 1: learn absolutely nothing of use to humanity, so which leads 368 00:19:35,160 --> 00:19:39,920 Speaker 1: us to, oh, of course they get an a. Of 369 00:19:40,000 --> 00:19:43,920 Speaker 1: course they do a great piece by Amy Gallagher, who 370 00:19:44,040 --> 00:19:47,880 Speaker 1: is a brit She's a fairly well known commentator over 371 00:19:48,119 --> 00:19:51,520 Speaker 1: yonder but I thought this was fascinating. She has a 372 00:19:51,560 --> 00:19:54,080 Speaker 1: couple of grafts that will I will describe for you. 373 00:19:54,160 --> 00:19:57,960 Speaker 1: They're easily understood. The first one is is labeled. We've 374 00:19:57,960 --> 00:20:01,040 Speaker 1: talked about this before. A wide ideology gap is opening 375 00:20:01,119 --> 00:20:04,920 Speaker 1: between young men and young women in countries across the 376 00:20:05,000 --> 00:20:10,000 Speaker 1: world and their political ideology of eighteen to twenty nine 377 00:20:10,040 --> 00:20:14,639 Speaker 1: year olds by sex, and the chart has more liberal 378 00:20:14,760 --> 00:20:17,119 Speaker 1: is towards the top, more conservative is toward the bottom. 379 00:20:17,520 --> 00:20:21,280 Speaker 1: But in South Korea, women in the last five years 380 00:20:21,359 --> 00:20:25,359 Speaker 1: have turned sharply more liberal to a plus thirty score, 381 00:20:25,600 --> 00:20:27,360 Speaker 1: men sharply more conservative. 382 00:20:27,800 --> 00:20:33,560 Speaker 2: Huge gap. Wow, the US men who've been waffling around. 383 00:20:33,680 --> 00:20:36,560 Speaker 1: I mean the lines were like the same in the nineties, 384 00:20:37,200 --> 00:20:41,560 Speaker 1: but since women have gotten steadily and then suddenly wildly 385 00:20:41,680 --> 00:20:43,960 Speaker 1: more liberal. And in the last ten years or so, 386 00:20:44,440 --> 00:20:48,160 Speaker 1: men have had a steady drift toward the conservative, still 387 00:20:48,320 --> 00:20:52,960 Speaker 1: very moderate conservative, but again a huge ideological gap. Germany 388 00:20:53,160 --> 00:20:57,400 Speaker 1: just slightly smaller, and the UK, where everybody's more liberal. 389 00:20:57,800 --> 00:21:02,879 Speaker 1: The women have gone wildly insanely progressive, and the dudes, 390 00:21:03,000 --> 00:21:07,360 Speaker 1: and it's unmistakable, even after a pretty progressive turn during 391 00:21:07,400 --> 00:21:10,640 Speaker 1: the twenty tens, have now started to drift downward while 392 00:21:10,720 --> 00:21:12,320 Speaker 1: the gals are still going upward. 393 00:21:13,520 --> 00:21:16,240 Speaker 4: Man, I mean that should be studied at a very 394 00:21:16,320 --> 00:21:19,320 Speaker 4: high level. I mean, obviously that's incredibly interesting and if 395 00:21:19,359 --> 00:21:26,720 Speaker 4: you're younger, maybe you can't imagine this, but nothing would 396 00:21:26,720 --> 00:21:31,119 Speaker 4: have been crazier like when I was twenty five for 397 00:21:31,200 --> 00:21:33,639 Speaker 4: a buddy to say, as datoner, but her politics, I 398 00:21:33,680 --> 00:21:34,400 Speaker 4: just couldn't. 399 00:21:34,119 --> 00:21:36,399 Speaker 2: Hinder her politics. I just never heard that ever a 400 00:21:36,440 --> 00:21:37,840 Speaker 2: one time in my life. 401 00:21:38,280 --> 00:21:41,119 Speaker 1: Right, or for a woman, because we're talking about women here, 402 00:21:41,240 --> 00:21:45,560 Speaker 1: to come across some good looking, in shape finance major 403 00:21:45,640 --> 00:21:48,240 Speaker 1: with a bright future and say, no, freaking way, because 404 00:21:48,280 --> 00:21:49,720 Speaker 1: he's conservative. 405 00:21:49,160 --> 00:21:50,840 Speaker 2: I don't like who he voted for for president. 406 00:21:51,080 --> 00:21:51,119 Speaker 6: What. 407 00:21:52,080 --> 00:21:54,800 Speaker 2: No, it's just utterly it's bizarre to even suggest. 408 00:21:55,119 --> 00:21:57,720 Speaker 1: Just and you know, we were in college a few 409 00:21:57,800 --> 00:22:00,840 Speaker 1: years back, but even like fifteen years ago, sure you'd 410 00:22:00,880 --> 00:22:04,240 Speaker 1: see a vastly different result. So to Amy Gallagher's piece, 411 00:22:04,280 --> 00:22:07,120 Speaker 1: she writes two graphs, one showing the growing ideological gap 412 00:22:07,200 --> 00:22:10,160 Speaker 1: between men and women, the other showing that politically left 413 00:22:10,240 --> 00:22:13,160 Speaker 1: leaning women are disproportionately more likely to have a mental 414 00:22:13,240 --> 00:22:17,280 Speaker 1: health condition. No way, I'll let that summary stand for itself. 415 00:22:17,320 --> 00:22:19,159 Speaker 1: I could describe the graph, but that's you know, the 416 00:22:19,240 --> 00:22:23,800 Speaker 1: takeaway in other women women have become more politically radical 417 00:22:23,960 --> 00:22:27,480 Speaker 1: and more psychologically unstable. What came first? Did woke drive 418 00:22:27,560 --> 00:22:30,640 Speaker 1: women mad? Are mad women responsible for the eyes of woke? 419 00:22:30,880 --> 00:22:32,679 Speaker 1: And feel free to wave your hand or get our 420 00:22:32,680 --> 00:22:34,600 Speaker 1: attention any time you want to jump in, Katie. That's 421 00:22:34,640 --> 00:22:36,000 Speaker 1: more than more than welcome. 422 00:22:36,920 --> 00:22:39,159 Speaker 2: I think that the woke did this. You think the 423 00:22:39,240 --> 00:22:44,240 Speaker 2: woke made women crazy? Absolutely? Oh, stay tuned, okay choice. 424 00:22:46,280 --> 00:22:48,480 Speaker 1: She mentions that mental illness is now the leading cause 425 00:22:48,520 --> 00:22:51,440 Speaker 1: of cause of disability in the West, is responsible for 426 00:22:52,160 --> 00:22:55,520 Speaker 1: forty percent of chronic sick leave, and specifically it is 427 00:22:55,560 --> 00:22:58,600 Speaker 1: women and girls who are suffering the most rates mental 428 00:22:58,640 --> 00:23:00,600 Speaker 1: illness arising for both sex. This is what are far 429 00:23:00,720 --> 00:23:04,840 Speaker 1: far disproportionately rising among women. Rates of self harm among 430 00:23:04,960 --> 00:23:09,399 Speaker 1: females have tripled in the last thirty years, and the 431 00:23:09,480 --> 00:23:14,000 Speaker 1: rates of suicidality have doubled. This has all happened within 432 00:23:14,040 --> 00:23:17,720 Speaker 1: a culture that professes to value feelings, emotional well being, 433 00:23:17,800 --> 00:23:21,640 Speaker 1: and mental health awareness. She points out more people going 434 00:23:21,680 --> 00:23:24,320 Speaker 1: to therapy than ever before, more people training to become 435 00:23:24,440 --> 00:23:27,480 Speaker 1: therapists than ever before, and these are all mostly women. 436 00:23:27,880 --> 00:23:31,120 Speaker 1: Around seventy to eighty percent of psychologists and therapists are female. 437 00:23:31,320 --> 00:23:33,560 Speaker 1: Those seeking help from them also much more likely to 438 00:23:33,640 --> 00:23:36,720 Speaker 1: be female. But it doesn't seem to be helping. And 439 00:23:36,800 --> 00:23:42,800 Speaker 1: then she goes into several other statistics about antidepressants and 440 00:23:42,920 --> 00:23:45,320 Speaker 1: that sort of thing that are all tracking in the 441 00:23:45,400 --> 00:23:48,200 Speaker 1: same direction in the last fifty years. 442 00:23:48,560 --> 00:23:52,720 Speaker 8: Yes, well, so what I'm hearing there is this is 443 00:23:52,760 --> 00:23:54,960 Speaker 8: all kind of going along with the Internet, like when 444 00:23:55,000 --> 00:23:58,840 Speaker 8: you started being able to get information all the time, anytime, 445 00:23:58,920 --> 00:24:01,000 Speaker 8: and then it's just getting worse. Now it's in our pockets. 446 00:24:01,520 --> 00:24:03,840 Speaker 8: For the mental health issue, I element of it. I 447 00:24:03,920 --> 00:24:06,560 Speaker 8: guess I think there's probably a relationship there. 448 00:24:06,720 --> 00:24:09,399 Speaker 4: Well, let me say the misogynist thing then, so I 449 00:24:09,440 --> 00:24:11,400 Speaker 4: don't I don't think this is a misogynist I just think. 450 00:24:11,320 --> 00:24:14,600 Speaker 2: It's I'll be the judge of that biological But. 451 00:24:16,640 --> 00:24:21,320 Speaker 4: Women have such a strong biological instinct to have children. 452 00:24:21,720 --> 00:24:23,680 Speaker 4: And if way, way, way less people are doing that, 453 00:24:23,840 --> 00:24:28,800 Speaker 4: where does all that other mental emotional energy go. It's 454 00:24:28,800 --> 00:24:31,200 Speaker 4: gotta going forward, chanting. We have nothing to lose but 455 00:24:31,280 --> 00:24:35,399 Speaker 4: our change. Yeah, the way to our ethnic studies major. 456 00:24:35,760 --> 00:24:37,320 Speaker 4: In the last fifty years, the number of women in 457 00:24:37,359 --> 00:24:40,280 Speaker 4: full time work has increased by over fifty percent. Similarly, 458 00:24:40,320 --> 00:24:42,359 Speaker 4: in the last thirty years, the number of women who 459 00:24:42,400 --> 00:24:44,760 Speaker 4: are unmarried and single over the age of thirty has 460 00:24:44,840 --> 00:24:49,560 Speaker 4: increased from eighteen percent to fifty four percent. To go whoa, 461 00:24:50,600 --> 00:24:52,840 Speaker 4: it's now estimating that half of all women twenty five 462 00:24:52,880 --> 00:24:55,560 Speaker 4: to forty four will be single by twenty thirty, and 463 00:24:55,640 --> 00:24:58,600 Speaker 4: short women are working more and marrying and having family less. 464 00:24:58,920 --> 00:25:00,879 Speaker 4: Many people point to the name it affects the social 465 00:25:00,880 --> 00:25:03,560 Speaker 4: media or the pressures of the beauty industry as to 466 00:25:04,080 --> 00:25:07,480 Speaker 4: explain the sadness anxiousness to depress edness. 467 00:25:07,720 --> 00:25:10,119 Speaker 1: However, the problem seems to be much more fundamental than this. 468 00:25:10,440 --> 00:25:12,919 Speaker 1: There is now an increased pressure on women to focus 469 00:25:13,000 --> 00:25:16,439 Speaker 1: on their careers at the expensive relationships. Meaningful relationships are 470 00:25:16,480 --> 00:25:19,800 Speaker 1: what make people happy, especially women. You know that is 471 00:25:20,040 --> 00:25:25,920 Speaker 1: disarmingly simple. Yeah. Yes, but as a guy with a 472 00:25:25,920 --> 00:25:28,439 Speaker 1: pretty good memory of my life and a guy who 473 00:25:28,520 --> 00:25:30,879 Speaker 1: reads a fair amount of science about how to have 474 00:25:31,000 --> 00:25:36,600 Speaker 1: a happy middle age old age retirement, it always comes 475 00:25:36,680 --> 00:25:41,080 Speaker 1: back to the same thing, meaningful relationships, and not with 476 00:25:41,200 --> 00:25:44,520 Speaker 1: a therapist. By the way, women are now going to 477 00:25:44,800 --> 00:25:48,280 Speaker 1: university more than ever before, she says, very britishly, and 478 00:25:48,440 --> 00:25:51,679 Speaker 1: increasingly dropping out. It is in the universities where they 479 00:25:51,720 --> 00:25:54,399 Speaker 1: come across ideas and perspectives that end up making them 480 00:25:54,480 --> 00:25:58,720 Speaker 1: feel worse than they already did. This is justifying Katie's 481 00:25:59,080 --> 00:26:03,840 Speaker 1: suggestion moment ago that woke is driving misery, feminism, critical 482 00:26:03,960 --> 00:26:08,399 Speaker 1: social justice, critical race theory, Marxism. Young women are encouraged 483 00:26:08,480 --> 00:26:12,720 Speaker 1: to be cynical about the world, see oppression everywhere, hate 484 00:26:12,840 --> 00:26:17,560 Speaker 1: their country, hate men, and hate anyone who thinks differently 485 00:26:17,680 --> 00:26:18,080 Speaker 1: from them. 486 00:26:20,520 --> 00:26:22,840 Speaker 8: I've heard that the number I was just thinking, the 487 00:26:22,960 --> 00:26:25,040 Speaker 8: number of people I know that I are going through 488 00:26:25,119 --> 00:26:28,399 Speaker 8: my head reading this that are just they just hate 489 00:26:28,480 --> 00:26:31,639 Speaker 8: everything and they will not listen to a word if 490 00:26:31,680 --> 00:26:33,240 Speaker 8: it doesn't go along with what they think. 491 00:26:34,080 --> 00:26:35,720 Speaker 2: I think that's worth repeating. 492 00:26:36,119 --> 00:26:38,400 Speaker 4: Well, how many times? How many times have I said 493 00:26:38,440 --> 00:26:40,520 Speaker 4: in the last I don't know how many years. Have 494 00:26:40,680 --> 00:26:42,560 Speaker 4: some kids you won't have time to worry about that 495 00:26:43,240 --> 00:26:45,720 Speaker 4: a part of curious topics because it's true. 496 00:26:46,680 --> 00:26:50,320 Speaker 1: But feminism, critical social justice, critical race theory, Marxism. Young 497 00:26:50,359 --> 00:26:52,760 Speaker 1: women are encouraged to be cynical about the world, see 498 00:26:52,800 --> 00:26:56,520 Speaker 1: oppression everywhere, hate their country, hate men, and hate anyone 499 00:26:56,560 --> 00:26:59,240 Speaker 1: who thinks differently from them. And now there's a growing 500 00:26:59,280 --> 00:27:01,840 Speaker 1: ideological gap between men who are more likely to be 501 00:27:01,880 --> 00:27:05,159 Speaker 1: conservative and women more likely to be woke progressive, and 502 00:27:05,320 --> 00:27:09,479 Speaker 1: it's widening, and not because well not really because men 503 00:27:09,640 --> 00:27:10,920 Speaker 1: become more right wing. 504 00:27:11,119 --> 00:27:12,719 Speaker 2: That move has been quite modest. 505 00:27:12,800 --> 00:27:15,000 Speaker 1: If you could see the graphs, and we'll post this 506 00:27:15,440 --> 00:27:18,720 Speaker 1: entire thing at Armstrong and Geeddy dot com under hotlinks 507 00:27:18,920 --> 00:27:20,200 Speaker 1: so you can check it out and send it to 508 00:27:20,280 --> 00:27:23,760 Speaker 1: everybody you know. Anyway, it's because of the huge move 509 00:27:24,200 --> 00:27:29,960 Speaker 1: women have made toward the progressive end of things. Perhaps 510 00:27:30,040 --> 00:27:33,240 Speaker 1: given that more women are entering work full time, which 511 00:27:33,320 --> 00:27:35,200 Speaker 1: someone will struggle with because of their poor mental health. 512 00:27:35,240 --> 00:27:38,720 Speaker 1: Woke ideas such as harm reduction, focusing on emotions, caring 513 00:27:38,800 --> 00:27:42,800 Speaker 1: for victim groups, and critique of meritocratic capitalism appeals to them. 514 00:27:43,600 --> 00:27:46,440 Speaker 1: But if men can work longer hours and work their 515 00:27:46,480 --> 00:27:50,000 Speaker 1: way up the workplace hierarchy more quickly than women can, 516 00:27:50,960 --> 00:27:54,960 Speaker 1: partly because men are not encumbered by the stuff we 517 00:27:55,040 --> 00:27:56,440 Speaker 1: were just talking about. 518 00:27:56,680 --> 00:27:58,440 Speaker 2: In nearly as large numbers as women. 519 00:27:59,040 --> 00:28:01,520 Speaker 1: We don't hate women, we don't hate our country, we 520 00:28:01,640 --> 00:28:03,640 Speaker 1: don't hate capitalism. 521 00:28:04,480 --> 00:28:07,600 Speaker 2: We're just interested in having some fun and being successful. 522 00:28:08,040 --> 00:28:11,199 Speaker 1: So then when men rise up the hierarchy more quickly, 523 00:28:11,400 --> 00:28:15,680 Speaker 1: it is easier to call this patriarchy rather than confront 524 00:28:15,720 --> 00:28:19,680 Speaker 1: the fact that men and women are different, and many women, 525 00:28:19,800 --> 00:28:23,840 Speaker 1: particularly of the mindset were describing, cannot compete with the men, 526 00:28:24,760 --> 00:28:28,480 Speaker 1: nor do they want to. One final note from Amy Gallagher, 527 00:28:28,480 --> 00:28:34,400 Speaker 1: because I think this is brilliant DEI safe spaces, therapeutic spaces, 528 00:28:34,640 --> 00:28:41,640 Speaker 1: bringing your whole self to work, harm reduction, psychological safety, emotionality, conformity, 529 00:28:41,960 --> 00:28:45,440 Speaker 1: conflict avoidance. We now live in a highly feminized culture, 530 00:28:45,640 --> 00:28:48,400 Speaker 1: and this femininity has taken over the workplace. It is 531 00:28:48,480 --> 00:28:52,680 Speaker 1: a toxic and destructive form of femininity and ironically the 532 00:28:52,800 --> 00:28:55,479 Speaker 1: reason why so many women are making poor life choices 533 00:28:55,480 --> 00:28:58,280 Speaker 1: that leave them unhappy and mentally unstable. If women want 534 00:28:58,320 --> 00:29:00,640 Speaker 1: to feel better, they must first end and their toxic 535 00:29:00,760 --> 00:29:03,920 Speaker 1: love affair with woke progressivism, which has plunged them into 536 00:29:03,960 --> 00:29:06,480 Speaker 1: a downward spiral of insanity and despair. 537 00:29:08,440 --> 00:29:09,360 Speaker 2: Can I get an amen? 538 00:29:10,640 --> 00:29:13,520 Speaker 4: Is there any natural force that will change this direction, 539 00:29:14,360 --> 00:29:16,760 Speaker 4: arrest this development. 540 00:29:18,600 --> 00:29:24,920 Speaker 1: It could take because women tend to value network building 541 00:29:25,200 --> 00:29:28,040 Speaker 1: and coalition building more than men, who tend to be 542 00:29:28,120 --> 00:29:34,440 Speaker 1: more independent. It might take some charismatic self helpy guru 543 00:29:34,920 --> 00:29:40,280 Speaker 1: type Instagram influencer. I don't know that the problem is. 544 00:29:40,520 --> 00:29:43,680 Speaker 1: And this is a problem, and it motivates me to 545 00:29:43,720 --> 00:29:46,680 Speaker 1: get up every morning for work. We are up against 546 00:29:46,760 --> 00:29:53,560 Speaker 1: an enormous educational infrastructure that is absolutely dedicated to pushing 547 00:29:53,600 --> 00:30:00,800 Speaker 1: these ideas. It's going to be a titanic battle. And then, 548 00:30:00,840 --> 00:30:04,719 Speaker 1: if you're a single man in the world, what are 549 00:30:04,720 --> 00:30:06,680 Speaker 1: you supposed to do? Keep your mouth shut, see you 550 00:30:06,760 --> 00:30:11,320 Speaker 1: got some chance at some romance, or go with the 551 00:30:11,480 --> 00:30:17,560 Speaker 1: slim pickings of people that aren't crazy. Yeah, I'm picturing 552 00:30:17,760 --> 00:30:24,560 Speaker 1: some sort of Joe Getty's College for turning out non 553 00:30:24,640 --> 00:30:28,600 Speaker 1: insane women. I think it's also known as the University 554 00:30:28,640 --> 00:30:31,520 Speaker 1: of Texas at Austin and North Carolina is trying to 555 00:30:31,560 --> 00:30:37,240 Speaker 1: do this too, But uh, it's it's amazing that it's 556 00:30:37,320 --> 00:30:40,280 Speaker 1: gotten this far. If I separate myself from the outrage 557 00:30:40,320 --> 00:30:44,360 Speaker 1: and sadness of it, just as a you know, political scientist, 558 00:30:44,480 --> 00:30:50,280 Speaker 1: quote unquote, as a student of ideological movements. It's been 559 00:30:50,360 --> 00:30:56,480 Speaker 1: amazingly successful for a suicidal and idiotic philosophy. 560 00:30:56,800 --> 00:30:59,040 Speaker 4: Yeah, I would say, if you have any comments on 561 00:30:59,080 --> 00:31:00,640 Speaker 4: this now, a lot of you to do our text 562 00:31:00,720 --> 00:31:08,040 Speaker 4: line four one five two nine five KFTC play clip 563 00:31:08,160 --> 00:31:10,800 Speaker 4: twenty seven. I think this is important to the conversation here. 564 00:31:11,280 --> 00:31:14,800 Speaker 4: Fencer suspicious, but have already ruled out a carbon monoxide 565 00:31:14,880 --> 00:31:17,920 Speaker 4: leak and say there were no obvious signs of foul play. 566 00:31:18,280 --> 00:31:21,400 Speaker 2: There was no indication of a struggle. There was no 567 00:31:21,520 --> 00:31:25,960 Speaker 2: indication of anything that was missing from the home or disturbed. 568 00:31:27,160 --> 00:31:29,720 Speaker 4: Yeah, nothing missing from the home, nothing disturbed, no sign 569 00:31:29,760 --> 00:31:31,960 Speaker 4: of a struggle. I don't think anybody was picturing that. 570 00:31:32,160 --> 00:31:38,520 Speaker 4: But and no evidence of a carbon monoxide leak. Now, 571 00:31:38,920 --> 00:31:41,280 Speaker 4: you know, if carbon monoxide had killed Gene Hackman and 572 00:31:41,360 --> 00:31:45,360 Speaker 4: his wife and dog, it would have quite possibly dispersed. 573 00:31:44,880 --> 00:31:47,240 Speaker 2: In the week weeks. They don't know yet how long. 574 00:31:47,160 --> 00:31:50,520 Speaker 4: The bodies were there, but I assume they like checked 575 00:31:50,520 --> 00:31:52,640 Speaker 4: around to see is skiff something could have caused a 576 00:31:53,040 --> 00:31:54,160 Speaker 4: carbon monoxide leak? 577 00:31:54,480 --> 00:31:58,200 Speaker 1: All right, yeah, yeah, an obvious mechanism or whatever that 578 00:31:58,360 --> 00:31:59,920 Speaker 1: was inside the house that shouldn't have been that sort 579 00:31:59,920 --> 00:32:00,239 Speaker 1: of thing. 580 00:32:01,280 --> 00:32:06,000 Speaker 4: Yeah, So my original plan from yesterday was, and I 581 00:32:06,080 --> 00:32:08,640 Speaker 4: think I still might be going with it, very old 582 00:32:08,720 --> 00:32:11,920 Speaker 4: Gene Hackman falls, has a heart attack in the mudroom. 583 00:32:12,560 --> 00:32:15,440 Speaker 4: She finds his body is so despondent she can't imagine 584 00:32:15,520 --> 00:32:18,920 Speaker 4: going on without him. Goes and gets the pills, takes 585 00:32:18,920 --> 00:32:19,440 Speaker 4: a whole bunch. 586 00:32:19,640 --> 00:32:22,720 Speaker 2: She dies. But then my theory was the dog eats 587 00:32:22,760 --> 00:32:24,400 Speaker 2: the pills and dies, and the dog was in a crate. 588 00:32:25,040 --> 00:32:29,200 Speaker 2: To call your theory crackpot is to insult crack Why 589 00:32:29,440 --> 00:32:30,360 Speaker 2: why is that crackit pot? 590 00:32:30,400 --> 00:32:31,400 Speaker 4: That seems like the most. 591 00:32:31,280 --> 00:32:33,520 Speaker 2: Logical explanation, says the crackpot. 592 00:32:33,920 --> 00:32:37,200 Speaker 1: Yeah, you can't explain to a crackpot why there are crackpots, 593 00:32:37,200 --> 00:32:40,640 Speaker 1: so don't ask me to. Here's what happened, and anybody 594 00:32:40,720 --> 00:32:42,080 Speaker 1: with any sense can see. 595 00:32:41,960 --> 00:32:42,920 Speaker 6: This was it. 596 00:32:43,040 --> 00:32:47,760 Speaker 1: His old friend al Pacino, Clint Eastwood, came back and 597 00:32:48,080 --> 00:32:51,800 Speaker 1: gave Hackman a kicking in vengeance for Unforgiven forty years 598 00:32:51,840 --> 00:32:52,920 Speaker 1: ago whenever that movie was made. 599 00:32:52,960 --> 00:32:54,360 Speaker 2: Wonderful movie anyway. 600 00:32:54,640 --> 00:32:58,600 Speaker 1: So old Gene Hackman, who is at least dependent on 601 00:32:58,720 --> 00:33:02,480 Speaker 1: a sixty five year old he's ninety five, comes home. 602 00:33:02,680 --> 00:33:04,840 Speaker 1: She has had some sort of fatal mishap whe her 603 00:33:04,920 --> 00:33:07,320 Speaker 1: a fall or a heart attacker or a stroker or 604 00:33:07,320 --> 00:33:13,280 Speaker 1: whatever in the bathroom. He shocked rushes to call the authorities. 605 00:33:14,640 --> 00:33:19,120 Speaker 1: Has a fall, a serious injury at his advanced age, 606 00:33:19,400 --> 00:33:21,800 Speaker 1: and he can't help himself. Oh, your passes. 607 00:33:22,000 --> 00:33:24,040 Speaker 4: So your theory is similar to mine. It's just in reverse. 608 00:33:24,080 --> 00:33:27,680 Speaker 4: But yeah, yeah, my pop is intact. That's the difference. 609 00:33:27,840 --> 00:33:29,280 Speaker 2: Where are the pills in that theory? 610 00:33:29,960 --> 00:33:30,160 Speaker 5: Yeah? 611 00:33:30,760 --> 00:33:36,360 Speaker 1: Oh, she was in her bathroom dealing with the pills 612 00:33:36,400 --> 00:33:42,040 Speaker 1: when she had her fatal health event. Okay, what fatal 613 00:33:42,120 --> 00:33:44,880 Speaker 1: health events? Don't wait till you're sitting down under a blanket. 614 00:33:45,160 --> 00:33:47,520 Speaker 1: Sometimes they happened, you know, when you're doing stuff. 615 00:33:47,680 --> 00:33:50,600 Speaker 4: Well, the easiest one to explain is him in any 616 00:33:50,640 --> 00:33:53,000 Speaker 4: scenario would come up, because when you're ninety five, it 617 00:33:53,080 --> 00:33:55,040 Speaker 4: doesn't take much you slip. 618 00:33:55,800 --> 00:33:57,840 Speaker 2: Oh yeah, yeah, a blow to the head. 619 00:33:57,920 --> 00:34:00,560 Speaker 1: I mean he could easily have had, you know, some 620 00:34:00,720 --> 00:34:03,920 Speaker 1: sort of subdural hematoma. See a proof that I know 621 00:34:04,000 --> 00:34:05,480 Speaker 1: better than you guys, because I know words like that, 622 00:34:06,400 --> 00:34:10,120 Speaker 1: or or some sort of devastating injury that a ninety 623 00:34:10,120 --> 00:34:12,400 Speaker 1: five year old cannot lift himself off the ground and 624 00:34:12,480 --> 00:34:13,919 Speaker 1: go get help or eat or drink. 625 00:34:14,239 --> 00:34:16,960 Speaker 4: So the autops you will help with that, because if 626 00:34:16,960 --> 00:34:18,560 Speaker 4: it turns out, you know, maybe he was laying on the. 627 00:34:18,560 --> 00:34:21,879 Speaker 2: Floor there for a week. It's entirely possible. Yeah. Yeah. 628 00:34:21,920 --> 00:34:23,520 Speaker 8: The only thing they said with that that I've seen 629 00:34:23,600 --> 00:34:26,200 Speaker 8: this morning is that that's clear he was coming home 630 00:34:26,360 --> 00:34:28,320 Speaker 8: or leaving because he had his sunglasses on. 631 00:34:30,360 --> 00:34:32,600 Speaker 2: Yeah, they were lying next to him, I think maybe. Yeah. 632 00:34:33,200 --> 00:34:36,759 Speaker 4: Yeah, so this story could quite possibly have an ending 633 00:34:36,840 --> 00:34:41,200 Speaker 4: that is not the least bit amusing to hear. 634 00:34:41,760 --> 00:34:47,400 Speaker 1: Oh I suspect nor dramatic. Right, yeah, it'll just be sad. 635 00:34:47,640 --> 00:34:50,200 Speaker 4: Yeah, it's like that submarine that was underneath you know, 636 00:34:50,440 --> 00:34:53,000 Speaker 4: went down to see the Titanic, and we all talked 637 00:34:53,040 --> 00:34:54,480 Speaker 4: about that and this and that for a long time 638 00:34:54,520 --> 00:34:57,080 Speaker 4: and then when it turns out, yeah, it just collapsed. 639 00:34:56,600 --> 00:35:01,359 Speaker 2: And they all died instantly. Yeah. Not the greatest story. Yeah, 640 00:35:01,680 --> 00:35:03,200 Speaker 2: A grade A grade. 641 00:35:05,239 --> 00:35:09,040 Speaker 1: So are you participating in the utterly idiotic boycott today? 642 00:35:10,800 --> 00:35:14,840 Speaker 1: It's too to get to capitalism or something and. 643 00:35:14,960 --> 00:35:20,239 Speaker 4: How you don't like billionaires taking over the world or something. Yeah, exactly, Well. 644 00:35:20,200 --> 00:35:23,000 Speaker 8: Jack already door dashed and I just ordered something on Amazon, so. 645 00:35:23,480 --> 00:35:24,120 Speaker 2: Oh, that's right. 646 00:35:25,000 --> 00:35:28,080 Speaker 1: So the guy who initiated this is something like a 647 00:35:29,080 --> 00:35:32,520 Speaker 1: meditation teacher, and I don't scoff at meditation or anything, 648 00:35:32,600 --> 00:35:34,080 Speaker 1: but or a yoga side. 649 00:35:34,080 --> 00:35:36,560 Speaker 2: I don't know. But the USA today is writing about 650 00:35:36,600 --> 00:35:38,359 Speaker 2: this and they. 651 00:35:38,400 --> 00:35:41,440 Speaker 1: Quote a BLM enthusiast and I don't mean the Bureau 652 00:35:41,480 --> 00:35:45,200 Speaker 1: of Land Management, and then to get an opinion on 653 00:35:45,320 --> 00:35:48,040 Speaker 1: how great this is, they quote Jason Williams, Professor of 654 00:35:48,440 --> 00:35:53,120 Speaker 1: Justice Studies at Montclair State University in New Jersey. It 655 00:35:53,200 --> 00:35:55,759 Speaker 1: definitely does send a political message to these companies that 656 00:35:55,840 --> 00:35:58,359 Speaker 1: were watching them. We're not going to let them get 657 00:35:58,400 --> 00:36:01,560 Speaker 1: away with abandoning our causes. They're trying to punish anybody 658 00:36:01,600 --> 00:36:04,799 Speaker 1: who dropped any DEI policies, right, and it. 659 00:36:04,840 --> 00:36:05,520 Speaker 2: Doesn't work at all. 660 00:36:05,560 --> 00:36:07,160 Speaker 4: Why don't you call a grocery store and say, do 661 00:36:07,160 --> 00:36:09,680 Speaker 4: you notice any less traffic than on normal Friday? 662 00:36:09,760 --> 00:36:12,080 Speaker 2: That'd be a good question to ask. This will not 663 00:36:12,280 --> 00:36:14,920 Speaker 2: make a g NAT's fart worth of difference. No, we 664 00:36:15,040 --> 00:36:16,480 Speaker 2: do four hours every day. If you miss an hour 665 00:36:16,520 --> 00:36:18,400 Speaker 2: to get the podcast, Armstrong and Getty