1 00:00:01,960 --> 00:00:06,280 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio the George 2 00:00:06,320 --> 00:00:10,959 Speaker 1: Washington Broadcast Center. Jack Armstrong is Joe Getty Armstrong and 3 00:00:11,119 --> 00:00:12,640 Speaker 1: Getty and he. 4 00:00:15,520 --> 00:00:29,280 Speaker 2: Armstrong and Getty. I am horrified at this story about 5 00:00:29,280 --> 00:00:31,560 Speaker 2: the illegal immigrant who killed all those people down in 6 00:00:31,600 --> 00:00:36,720 Speaker 2: Florida by making a U turn in the middle of 7 00:00:36,760 --> 00:00:39,560 Speaker 2: the highway. How he ended up having a commercial driver's 8 00:00:39,640 --> 00:00:45,199 Speaker 2: license because of sanctuary cities and state policies is absolutely outrageous. 9 00:00:45,640 --> 00:00:47,280 Speaker 2: And we'll talk more about it later this hour. 10 00:00:47,960 --> 00:00:51,960 Speaker 1: Yeah, Gabby Newso, I'm gonna have yet another just ninety 11 00:00:52,080 --> 00:00:54,200 Speaker 1: ten issue hung around his neck if he decides to 12 00:00:54,280 --> 00:00:55,080 Speaker 1: run for president. 13 00:00:55,200 --> 00:00:56,200 Speaker 2: Yeah. 14 00:00:56,600 --> 00:00:59,360 Speaker 1: So, as a precursor to what we're about to discuss, 15 00:01:00,360 --> 00:01:03,160 Speaker 1: I don't think you can understand the world really until 16 00:01:03,160 --> 00:01:06,280 Speaker 1: you understand what a weird country we are. In a 17 00:01:06,280 --> 00:01:10,680 Speaker 1: lot of ways. We have been so safe and prosperous 18 00:01:11,240 --> 00:01:14,360 Speaker 1: and have such a great system and such a great 19 00:01:14,360 --> 00:01:18,039 Speaker 1: bill of rights that we are like by far the 20 00:01:18,080 --> 00:01:24,160 Speaker 1: most optimistic people on Earth, and Americans are uncalculating in 21 00:01:24,200 --> 00:01:29,000 Speaker 1: a way that and this is my main point. We 22 00:01:29,120 --> 00:01:32,959 Speaker 1: don't understand that the rest of the world is not 23 00:01:33,080 --> 00:01:35,600 Speaker 1: nearly as carefree as we are. I mean we are. 24 00:01:35,880 --> 00:01:37,600 Speaker 1: Let's do a little dance and make a little love. 25 00:01:37,640 --> 00:01:40,800 Speaker 1: Get down tonight, you know, make a little money. Everybody's fine, 26 00:01:40,800 --> 00:01:43,240 Speaker 1: everybody's most people are nice and blah blah blah. The 27 00:01:43,240 --> 00:01:45,480 Speaker 1: rest of the world is much more grim and calculating. 28 00:01:46,319 --> 00:01:48,480 Speaker 1: And in that spirit, let's take a look inside the 29 00:01:48,560 --> 00:02:00,920 Speaker 1: China cabin. It's my masquerading as clever name for several 30 00:02:00,960 --> 00:02:09,480 Speaker 1: stories about China. China, we don't China's. 31 00:02:10,680 --> 00:02:13,880 Speaker 2: Salty another good point, and salty, that's right. 32 00:02:13,960 --> 00:02:17,679 Speaker 1: Yes, we brought this up before, but there is a 33 00:02:18,480 --> 00:02:22,639 Speaker 1: congressional report out now in a demand of Harvard University 34 00:02:23,480 --> 00:02:28,040 Speaker 1: that they stop educating the elites of the Chinese Communist 35 00:02:28,080 --> 00:02:33,600 Speaker 1: Party and how to be more effective communists. The elite 36 00:02:33,639 --> 00:02:38,400 Speaker 1: of our universities, including Harvard, are, through the Kennedy School 37 00:02:38,560 --> 00:02:45,919 Speaker 1: and other places, educating uh, the the well the elite. Again, 38 00:02:46,120 --> 00:02:49,959 Speaker 1: the most powerful people within the most powerful bodies of 39 00:02:50,000 --> 00:02:55,280 Speaker 1: the CCP. The collaboration between the Harvard Kennedy School and 40 00:02:55,360 --> 00:02:59,440 Speaker 1: the Chinese Executive Leadership Academy at Pudong. That institution is 41 00:02:59,440 --> 00:03:01,799 Speaker 1: controlled by the Central Organization Department, one of the most 42 00:03:01,840 --> 00:03:06,640 Speaker 1: powerful bodies within the CCP. It oversees shijin Ping thought 43 00:03:06,680 --> 00:03:10,480 Speaker 1: training programs for party elites and controls placement in key 44 00:03:10,520 --> 00:03:15,320 Speaker 1: communist party roles, and high ranking members of the Chinese 45 00:03:15,320 --> 00:03:19,200 Speaker 1: Academy of Social Sciences. And these people are sent to 46 00:03:19,240 --> 00:03:22,079 Speaker 1: the Harvard Kennedy School as part of the Organization Department's 47 00:03:22,160 --> 00:03:25,600 Speaker 1: education and training. And these Congress people are sending a 48 00:03:25,639 --> 00:03:29,000 Speaker 1: letter to the head guy at Harvard, President Alan Garber, 49 00:03:29,040 --> 00:03:34,280 Speaker 1: saying what are you doing? And it's a reasonable question 50 00:03:37,280 --> 00:03:42,080 Speaker 1: to cite some obvious, probably too obvious, historical parallels. Harvard 51 00:03:42,200 --> 00:03:46,120 Speaker 1: wasn't in nineteen thirty eight, you know, getting Joseph Goebbels 52 00:03:46,120 --> 00:03:50,520 Speaker 1: to be better at propaganda, you know, in exchange for 53 00:03:50,600 --> 00:03:52,480 Speaker 1: a full ride, you know, tuition. 54 00:03:52,960 --> 00:03:54,400 Speaker 2: I don't even know what to think of this. 55 00:03:55,560 --> 00:03:59,240 Speaker 1: It's insane. Yeah, well, you know what, it's not insane. 56 00:04:00,520 --> 00:04:05,840 Speaker 1: It is a hangover, a holdover from that few decades 57 00:04:05,880 --> 00:04:10,960 Speaker 1: long period where we got duped into thinking China wanted 58 00:04:10,960 --> 00:04:14,320 Speaker 1: to reform and it wanted to become, you know, a 59 00:04:14,480 --> 00:04:18,440 Speaker 1: happy free market, to participant in the Community of Nations. 60 00:04:18,880 --> 00:04:23,240 Speaker 1: But like everybody knows, that's not true now except academia. 61 00:04:23,640 --> 00:04:28,440 Speaker 2: But helping communists be better in the Communist Party. It's 62 00:04:28,480 --> 00:04:30,719 Speaker 2: right there in the name Communist. We used to be 63 00:04:30,760 --> 00:04:31,800 Speaker 2: really against. 64 00:04:31,440 --> 00:04:34,880 Speaker 1: That, right. And Mike Gallagher has a piece in the 65 00:04:34,880 --> 00:04:38,920 Speaker 1: Wall Street Journal's opinion section today. 66 00:04:39,440 --> 00:04:41,320 Speaker 2: Which might get you. There's like five of them. 67 00:04:41,560 --> 00:04:44,400 Speaker 1: Yeah, I know. This is the former very sane, very 68 00:04:44,480 --> 00:04:48,640 Speaker 1: serious congressman from Wisconsin, chairman of the Select Committee on 69 00:04:48,680 --> 00:04:53,200 Speaker 1: the Chinese Communist Party, distinguished fellow at the Hodgson Institute. Anyway, 70 00:04:54,160 --> 00:04:58,479 Speaker 1: his piece is entitled, Send Harvard's Chinese students home. It 71 00:04:58,760 --> 00:05:00,960 Speaker 1: makes no sense for the U to be educating the 72 00:05:00,960 --> 00:05:08,960 Speaker 1: scientific and leadership clash of a future adversary. For decades, 73 00:05:09,000 --> 00:05:11,920 Speaker 1: Republicans and Democrats agreed our universities were crowned jewels of 74 00:05:11,960 --> 00:05:16,360 Speaker 1: American exceptionalism, and Harvard shown brightest of all. Mister Trump, however, 75 00:05:16,480 --> 00:05:19,839 Speaker 1: has an uncanny knack for exposing rotten shibboliths. In recent 76 00:05:19,920 --> 00:05:23,400 Speaker 1: years have seen top universities unmasked as global far left 77 00:05:23,440 --> 00:05:27,200 Speaker 1: patronage networks, using research as a smoke screen to prevent 78 00:05:27,279 --> 00:05:31,440 Speaker 1: scrutiny of campus hate as they aid adversaries like China. 79 00:05:32,480 --> 00:05:38,040 Speaker 1: Roughly thirty percent of Harvard's student body is foreign. At Columbia, 80 00:05:38,120 --> 00:05:42,920 Speaker 1: it's almost forty percent, and America's top universities benefit from 81 00:05:42,960 --> 00:05:45,640 Speaker 1: billions of dollars in government grants and tax breaks while 82 00:05:45,680 --> 00:05:48,159 Speaker 1: admitting fewer Americans every year. 83 00:05:48,360 --> 00:05:50,120 Speaker 2: I'd like to know what it is in my local 84 00:05:50,160 --> 00:05:52,440 Speaker 2: college town, because it's pretty high. 85 00:05:53,320 --> 00:05:59,080 Speaker 1: Yeah yeah. Oh. Meta's chief AI officer, Alexander Wang has 86 00:05:59,160 --> 00:06:01,799 Speaker 1: argued that the rate of AI progress maybe such the quote, 87 00:06:01,880 --> 00:06:04,000 Speaker 1: you need to prevent all of our secrets from going 88 00:06:04,040 --> 00:06:06,120 Speaker 1: over to our adversaries, and you need to lock down 89 00:06:06,160 --> 00:06:12,120 Speaker 1: the labs. Thousands of Chinese citizens. Chinese citizens are working 90 00:06:12,240 --> 00:06:16,360 Speaker 1: and studying in such labs. The US hosted one point 91 00:06:16,400 --> 00:06:19,000 Speaker 1: one million international students last year. Of those, twenty five 92 00:06:19,040 --> 00:06:21,280 Speaker 1: percent came from China, more than a quarter million. 93 00:06:21,600 --> 00:06:26,239 Speaker 2: I know somebody in academia who worked in a lab 94 00:06:26,560 --> 00:06:29,960 Speaker 2: with Chinese citizens who were there in the lab also, 95 00:06:30,320 --> 00:06:33,520 Speaker 2: and they would never talk about anything because they were 96 00:06:33,560 --> 00:06:36,120 Speaker 2: worried about if you brought up anything political. They would 97 00:06:36,160 --> 00:06:39,159 Speaker 2: never say anything. With the assumption from this person, I 98 00:06:39,200 --> 00:06:41,800 Speaker 2: know that they were scared to say anything because it 99 00:06:41,800 --> 00:06:42,920 Speaker 2: would get reported back. 100 00:06:44,080 --> 00:06:46,839 Speaker 1: In twenty twenty two, foreign nationals, many of them Chinese, 101 00:06:46,880 --> 00:06:49,800 Speaker 1: accounted for almost forty percent of science doctorates in the 102 00:06:49,880 --> 00:06:56,719 Speaker 1: United states almost forty percent. Wow, that is incredible. 103 00:06:57,000 --> 00:07:00,719 Speaker 2: We are educating our number one global enemy for the 104 00:07:00,760 --> 00:07:04,160 Speaker 2: next you know, for the foreseeable future. China will be 105 00:07:04,160 --> 00:07:06,920 Speaker 2: our number one enemy on planet Earth, and we're educating 106 00:07:07,240 --> 00:07:08,160 Speaker 2: their scientists. 107 00:07:08,800 --> 00:07:13,160 Speaker 1: And Beijing is aggressively cultivating American educated and American employed 108 00:07:13,240 --> 00:07:16,960 Speaker 1: researchers by the Thousand Talents program. That's part of their 109 00:07:17,000 --> 00:07:19,800 Speaker 1: whole of society. Everybody has to be bent on China 110 00:07:19,920 --> 00:07:23,840 Speaker 1: being a sendant and squashing the US Blindly embracing academic 111 00:07:23,880 --> 00:07:27,920 Speaker 1: cooperation with geopolitical rivals is absurd. Nobody suggests we should 112 00:07:27,920 --> 00:07:33,720 Speaker 1: train i Iranian nuclear physicists or Russian ballistics engineers. The 113 00:07:33,800 --> 00:07:36,600 Speaker 1: US wouldn't have been better off collaborating more with Nazi 114 00:07:36,640 --> 00:07:39,080 Speaker 1: Germany in the thirties or with the Soviet during the 115 00:07:39,080 --> 00:07:41,720 Speaker 1: Soviets during the Cold War. Why make an exception for 116 00:07:41,760 --> 00:07:44,920 Speaker 1: a nation dedicated to surpassing the US in emerging technologies? 117 00:07:45,360 --> 00:07:47,800 Speaker 1: Then he mentions that universities loved the Chinese students because 118 00:07:47,800 --> 00:07:51,360 Speaker 1: they generally pay full freight, often subsidized by the Chinese 119 00:07:51,400 --> 00:07:55,200 Speaker 1: Communist Party. What the hell are we doing? And then 120 00:07:55,240 --> 00:07:58,000 Speaker 1: finally this speaking of money, and I mentioned this once 121 00:07:58,040 --> 00:08:04,360 Speaker 1: but it is absolutely worth digging into. There is a 122 00:08:04,520 --> 00:08:09,360 Speaker 1: nonprofit called the Energy Foundation China. It is based in 123 00:08:09,480 --> 00:08:16,240 Speaker 1: San Francisco and according to its website, EFC has disbursed 124 00:08:16,280 --> 00:08:20,840 Speaker 1: over half a billion dollars to more than four thousand 125 00:08:20,920 --> 00:08:25,800 Speaker 1: climate related projects, many of them in the US. Well, 126 00:08:25,800 --> 00:08:30,720 Speaker 1: wait a minute, since the Chinese Communist Party controls everything, 127 00:08:31,520 --> 00:08:36,400 Speaker 1: why is a Chinese Chinese? Excuse me? The Communist Party 128 00:08:37,440 --> 00:08:43,360 Speaker 1: run foundation financing thousands of climate related projects. Uh, it's 129 00:08:43,400 --> 00:08:46,600 Speaker 1: Ceoba the Way is based in Beijing and has a 130 00:08:46,600 --> 00:08:54,240 Speaker 1: background of strong CCP affiliations. Well, here's the deal, and 131 00:08:54,640 --> 00:08:58,640 Speaker 1: Ted Cruz has dug into this. China has realized that 132 00:08:58,760 --> 00:09:04,360 Speaker 1: a if they can shove us away from steady sources 133 00:09:04,360 --> 00:09:09,520 Speaker 1: of energy, it hurts our economy. As they're building, they're 134 00:09:09,559 --> 00:09:12,560 Speaker 1: burning and building coal plants as fast as they can. 135 00:09:13,280 --> 00:09:15,680 Speaker 1: Plus they're pushing us as hard as they can toward 136 00:09:15,720 --> 00:09:20,840 Speaker 1: renewable energy. Who has cornered the market on the critical 137 00:09:21,160 --> 00:09:26,120 Speaker 1: rare earth minerals for instance, batteries, etc. Who has cornered 138 00:09:26,120 --> 00:09:32,280 Speaker 1: the market on all that stuff in renewable energy? China? 139 00:09:32,600 --> 00:09:36,240 Speaker 1: So they are financing all of these Americans so called 140 00:09:36,400 --> 00:09:41,760 Speaker 1: environmental groups screaming for us to give up fossil fuels 141 00:09:42,200 --> 00:09:44,920 Speaker 1: and embrace technologies that China controls. 142 00:09:45,040 --> 00:09:50,199 Speaker 2: They must, they're at Communist party headquarters. Parties just throw 143 00:09:50,280 --> 00:09:53,240 Speaker 2: back their heads and laughter sometimes at. 144 00:09:53,120 --> 00:09:54,440 Speaker 1: The things they're able to pull up. 145 00:09:54,520 --> 00:09:57,720 Speaker 2: Hey, guess what I bought another one hundred acres next 146 00:09:57,760 --> 00:09:59,040 Speaker 2: to a military base? 147 00:09:59,200 --> 00:10:02,720 Speaker 1: You did, yeah, right next to it? Or did you 148 00:10:02,760 --> 00:10:05,320 Speaker 1: claim to be? I just said who I was? Yeah, 149 00:10:05,360 --> 00:10:06,200 Speaker 1: they just let you. 150 00:10:06,679 --> 00:10:10,080 Speaker 2: Or this we're financing that giant rally. You's on TV 151 00:10:10,160 --> 00:10:12,160 Speaker 2: the other day where they're saying, you know, down. 152 00:10:12,000 --> 00:10:12,880 Speaker 1: With fossil fuels. 153 00:10:12,960 --> 00:10:17,160 Speaker 2: We paid for that, And then the hippies push for 154 00:10:17,400 --> 00:10:20,439 Speaker 2: all these programs that then we sell them the stuff. 155 00:10:21,080 --> 00:10:27,679 Speaker 1: Yeah. Their largest state, California, has given up producing the safest, cleanest, 156 00:10:28,280 --> 00:10:32,920 Speaker 1: best policies for workers oil that is produced anywhere on Earth, 157 00:10:33,520 --> 00:10:38,080 Speaker 1: and instead has instead outsourced it to despicable regimes that 158 00:10:38,160 --> 00:10:40,800 Speaker 1: don't give a crap about the environment or their workers. 159 00:10:41,120 --> 00:10:44,960 Speaker 1: That's enlightened California. And when they're not doing that, they're 160 00:10:45,000 --> 00:10:49,680 Speaker 1: doubling down on technologies that we control and can get them. 161 00:10:50,040 --> 00:10:53,320 Speaker 1: We can threaten to choke that stuff off, and Donald 162 00:10:53,360 --> 00:10:56,959 Speaker 1: Trump will let Nvidia sell their most advanced chips or 163 00:10:57,040 --> 00:11:01,000 Speaker 1: damn near to the Chinese Communist Party because we've gotten 164 00:11:01,000 --> 00:11:07,679 Speaker 1: them to buy the green energy scam. We are a 165 00:11:07,800 --> 00:11:12,000 Speaker 1: stupid people, all right. See, certainly our leaders are. That's 166 00:11:12,040 --> 00:11:17,920 Speaker 1: your look inside the China cabinet up, sir. 167 00:11:18,200 --> 00:11:20,000 Speaker 2: You know there's a decent I was about to say 168 00:11:20,000 --> 00:11:21,079 Speaker 2: there's a decent chance. There's not. 169 00:11:21,240 --> 00:11:23,680 Speaker 1: There is a chance you drop dead today. Do you 170 00:11:23,760 --> 00:11:24,800 Speaker 1: have a will. 171 00:11:26,040 --> 00:11:28,320 Speaker 2: And trust? You should have one, and you could get 172 00:11:28,320 --> 00:11:30,600 Speaker 2: that started today just by going to this website. We're 173 00:11:30,600 --> 00:11:32,920 Speaker 2: gonna give you starts at one hundred and ninety nine 174 00:11:32,960 --> 00:11:35,600 Speaker 2: dollars to get going, and you fill it all out 175 00:11:35,600 --> 00:11:36,960 Speaker 2: yourself and it's super easy. 176 00:11:37,480 --> 00:11:40,840 Speaker 1: Yeah, you can create and manage a custom estate plan 177 00:11:41,000 --> 00:11:44,520 Speaker 1: starting at one hundred and ninety nine dollars. A friend 178 00:11:44,600 --> 00:11:48,640 Speaker 1: of the family interned at a law firm that dealt with inheritance, 179 00:11:48,679 --> 00:11:53,720 Speaker 1: its disputes over the summertime nightmare of hate and angst 180 00:11:53,920 --> 00:11:56,959 Speaker 1: and legal fees and court battles and the government involved 181 00:11:56,960 --> 00:12:00,520 Speaker 1: in your stuff. Don't do that. Get yourself an estate 182 00:12:00,600 --> 00:12:03,560 Speaker 1: plan now. It's a step by step process. They guide 183 00:12:03,559 --> 00:12:06,920 Speaker 1: you from start to finish at state specific it's crazy 184 00:12:07,000 --> 00:12:10,800 Speaker 1: high level bank level encryption. So secure your assets, protect 185 00:12:10,800 --> 00:12:14,200 Speaker 1: your loved ones from the nightmare I described with trust 186 00:12:14,280 --> 00:12:16,320 Speaker 1: and will, and you can get twenty percent off on 187 00:12:16,360 --> 00:12:20,240 Speaker 1: your estate plan documents by visiting trustinwill dot com slash armstrong. 188 00:12:20,400 --> 00:12:22,800 Speaker 1: That's trustinwill dot com slash armstrong. Do I need a 189 00:12:22,840 --> 00:12:25,160 Speaker 1: trust or a will? They'll help you figure it out 190 00:12:25,400 --> 00:12:29,400 Speaker 1: Trust and Will dot com slash armstrong. Julia Fox has 191 00:12:29,440 --> 00:12:31,959 Speaker 1: clarified her sexuality. Finally. 192 00:12:32,920 --> 00:12:34,400 Speaker 2: I don't know who that is, so I just thought 193 00:12:34,440 --> 00:12:36,600 Speaker 2: that was a funny headline. She's an actress of some sort. 194 00:12:36,640 --> 00:12:39,800 Speaker 2: She has clarified her sexuality for anybody who was wondering. 195 00:12:40,800 --> 00:12:43,040 Speaker 2: Having come out as a lesbian a year ago, she 196 00:12:43,120 --> 00:12:45,440 Speaker 2: now says she could be attracted to anyone or anything, 197 00:12:45,960 --> 00:12:52,520 Speaker 2: any anything, a bowl of soup, a dog, a door knob, anyway. 198 00:12:52,760 --> 00:12:53,920 Speaker 1: Surely you have limits. 199 00:12:54,040 --> 00:12:55,520 Speaker 2: I find headlines like that funny. 200 00:12:56,000 --> 00:12:59,400 Speaker 1: Are we starting to talk like chat bots? 201 00:13:00,200 --> 00:13:02,600 Speaker 2: Doubt it, but it's kind of an interesting thought among 202 00:13:02,640 --> 00:13:03,760 Speaker 2: other things we have on the way. 203 00:13:03,840 --> 00:13:11,280 Speaker 3: Stay here, verdict, we the jury find that Finnit guilty 204 00:13:11,320 --> 00:13:13,960 Speaker 3: as to all six countil deep dell of indictment. 205 00:13:14,480 --> 00:13:18,360 Speaker 4: I'm chureful you please hand us to its council couldn't 206 00:13:18,360 --> 00:13:24,800 Speaker 4: pass it over to I say not sorry, we the 207 00:13:24,880 --> 00:13:28,319 Speaker 4: jury find that Finnan not guilty on all six counts. 208 00:13:28,760 --> 00:13:30,840 Speaker 4: I apologize for my mispreciation. 209 00:13:31,559 --> 00:13:35,119 Speaker 2: No, that's not a mispronunciation. That's that's declaring the opposite 210 00:13:35,160 --> 00:13:37,880 Speaker 2: of the result. It was just one word off. You're quibbling. 211 00:13:39,080 --> 00:13:43,160 Speaker 1: Meanwhile, the defendant fell over of a heart attack. Oh yeah, Oh, 212 00:13:43,200 --> 00:13:43,560 Speaker 1: I'm sorry. 213 00:13:43,600 --> 00:13:45,479 Speaker 2: Did I say guilty? I meant not guilty? 214 00:13:45,800 --> 00:13:50,679 Speaker 1: What? Wow? And the laughing at the end of it, Yeah, 215 00:13:50,760 --> 00:13:51,800 Speaker 1: rubbed me the wrong way. 216 00:13:52,120 --> 00:13:52,720 Speaker 2: Yeah. 217 00:13:53,160 --> 00:13:57,160 Speaker 1: I think it's the laughter of people who are horrified. 218 00:13:59,400 --> 00:14:02,280 Speaker 2: Do you marry the bride? No, not a chance. I 219 00:14:02,400 --> 00:14:04,440 Speaker 2: mean I mean yes, I do. 220 00:14:04,800 --> 00:14:11,800 Speaker 1: Yes, I'm sorry I misspoke. Well better that direction than 221 00:14:11,840 --> 00:14:14,200 Speaker 1: the other one, though, I find you not guilty. You 222 00:14:14,240 --> 00:14:16,839 Speaker 1: can go free and embrace your family. Oh what's that? No, 223 00:14:16,920 --> 00:14:18,679 Speaker 1: I'm sorry guilty. No, you're in jail for the rest 224 00:14:18,720 --> 00:14:21,480 Speaker 1: of your life, Fanny. Sorry, but sorry for mispronouncing that. 225 00:14:22,440 --> 00:14:24,600 Speaker 2: Again. I don't know if I buy this story in 226 00:14:24,640 --> 00:14:27,280 Speaker 2: the Washington Post today. It's happening. People are starting to 227 00:14:27,320 --> 00:14:30,720 Speaker 2: talk like talk like chat GPT. Actually I don't believe 228 00:14:30,720 --> 00:14:32,840 Speaker 2: this at all, and I use chat GPT, probably more 229 00:14:33,040 --> 00:14:35,640 Speaker 2: than the average person. It says, here, if you use 230 00:14:35,760 --> 00:14:41,480 Speaker 2: chat GPT, claude, Gemini or other AI powered chat bots, 231 00:14:41,560 --> 00:14:46,920 Speaker 2: So claude which one's claude that it's a big one. 232 00:14:46,960 --> 00:14:49,440 Speaker 2: I can't remember whose that is, but I always it's 233 00:14:49,480 --> 00:14:51,080 Speaker 2: always on the line. I need to try that. I try, 234 00:14:51,120 --> 00:14:53,200 Speaker 2: I try chat GPT, and I do grow, but I 235 00:14:53,240 --> 00:14:55,880 Speaker 2: haven't done the other ones anyway, It says, you're probably 236 00:14:55,920 --> 00:14:58,600 Speaker 2: I'm operating under the assumption that you're both speaking the 237 00:14:58,640 --> 00:15:03,720 Speaker 2: same language. You input English, it outputs English, except that's 238 00:15:03,720 --> 00:15:06,760 Speaker 2: a misconception. You've actually been speaking different languages. I find 239 00:15:06,800 --> 00:15:10,640 Speaker 2: this fascinating. Rather than processing text like a human, the 240 00:15:10,720 --> 00:15:14,160 Speaker 2: chatbot turns your prompt into an embedding, a group of 241 00:15:14,360 --> 00:15:20,160 Speaker 2: numbers represented in a vector space, kind of like coordinates 242 00:15:20,160 --> 00:15:22,240 Speaker 2: on a map. But just as a map is a 243 00:15:22,280 --> 00:15:26,080 Speaker 2: representation of representation of territory, this embedding is a flattened 244 00:15:26,120 --> 00:15:29,440 Speaker 2: representation of language. 245 00:15:29,760 --> 00:15:32,240 Speaker 1: The chatbot then formulates a reply. 246 00:15:32,240 --> 00:15:34,960 Speaker 2: Making a word by word prediction based on how it 247 00:15:35,040 --> 00:15:39,240 Speaker 2: was trained to answer past inputs. It sounds like it's 248 00:15:39,280 --> 00:15:42,840 Speaker 2: thinking and talking, but it's not. So this prediction chat 249 00:15:43,360 --> 00:15:47,640 Speaker 2: the chatbot is making draws on biased training data, the 250 00:15:47,680 --> 00:15:52,080 Speaker 2: specific texts it learns from biased reinforcement learning, the feedback 251 00:15:52,120 --> 00:15:55,120 Speaker 2: it receives. Ultimately, what looks like English to you is 252 00:15:55,160 --> 00:16:01,480 Speaker 2: really just you know, trying to take human speech and 253 00:16:01,520 --> 00:16:05,120 Speaker 2: make it sound real. But it's using the predictions based 254 00:16:05,160 --> 00:16:07,480 Speaker 2: on all the inputs that can be flawed, which we 255 00:16:07,760 --> 00:16:13,920 Speaker 2: all need to recognize, like immediately, I think it's too 256 00:16:14,000 --> 00:16:19,040 Speaker 2: late already. But the examples they give in here about 257 00:16:19,040 --> 00:16:21,040 Speaker 2: how we're starting to talk like chat GPT, which again 258 00:16:21,080 --> 00:16:24,280 Speaker 2: I don't think is happening. Chat GPT uses the word 259 00:16:24,480 --> 00:16:29,120 Speaker 2: delve at higher rates than people use when writing or 260 00:16:29,160 --> 00:16:31,560 Speaker 2: speaking English, according to a study. 261 00:16:32,920 --> 00:16:36,920 Speaker 1: And well we should examine, come a further study, come 262 00:16:37,000 --> 00:16:41,400 Speaker 1: a look more into that. But now people. 263 00:16:41,200 --> 00:16:43,560 Speaker 2: Are starting to use it more often, according to this 264 00:16:43,720 --> 00:16:48,040 Speaker 2: researcher in articles and speech, because chat GPT used it 265 00:16:48,080 --> 00:16:52,760 Speaker 2: more often. So it's pushing the way we talk more 266 00:16:52,800 --> 00:16:57,280 Speaker 2: towards the way it talks. And the checkers say that 267 00:16:57,480 --> 00:17:01,360 Speaker 2: delve has become more common in speech since chat GPT launched, 268 00:17:02,000 --> 00:17:04,359 Speaker 2: and delve is just one example of words that he uses. 269 00:17:04,400 --> 00:17:06,040 Speaker 2: Do you buy that at all? I just don't buy 270 00:17:06,080 --> 00:17:06,560 Speaker 2: this at all. 271 00:17:07,640 --> 00:17:09,600 Speaker 1: I don't know. I read the same piece, and it 272 00:17:09,920 --> 00:17:13,160 Speaker 1: says that part of it is that the people who 273 00:17:13,200 --> 00:17:16,679 Speaker 1: look over these systems that are like the employees of 274 00:17:16,720 --> 00:17:20,720 Speaker 1: the large language model companies, are often low wage workers 275 00:17:20,760 --> 00:17:24,520 Speaker 1: from like Nigerian Kenya, where delve is used at a 276 00:17:24,600 --> 00:17:29,040 Speaker 1: higher rate than in American or British English. I don't know. 277 00:17:31,480 --> 00:17:35,560 Speaker 1: I don't think how intricate, commendable and meticulous. But I 278 00:17:35,560 --> 00:17:36,280 Speaker 1: don't think I've. 279 00:17:36,160 --> 00:17:39,560 Speaker 2: Picked up any sayings or words from the chatbots that 280 00:17:39,840 --> 00:17:42,160 Speaker 2: I just find that impossible to believe. I do think 281 00:17:42,200 --> 00:17:44,240 Speaker 2: that we all need to recognize that it's all about 282 00:17:44,320 --> 00:17:46,640 Speaker 2: it predicts the next word based on all the inputs 283 00:17:46,640 --> 00:17:49,280 Speaker 2: it's been getting from all these different sources, and it's 284 00:17:49,320 --> 00:17:54,119 Speaker 2: not actually thinking, right but right, you know, especially if 285 00:17:54,160 --> 00:17:56,560 Speaker 2: you're using the audio one. It sounds like a person 286 00:17:56,560 --> 00:17:58,200 Speaker 2: and it calls me buddy, so. 287 00:17:59,800 --> 00:18:03,920 Speaker 1: Well, and if it predicts the answer that I'm looking for, great, right, 288 00:18:04,520 --> 00:18:06,880 Speaker 1: all right, it's not thinking. It's not intelligence at all. 289 00:18:06,920 --> 00:18:10,800 Speaker 1: It's just a glorified madlib. I'm going to get very 290 00:18:10,800 --> 00:18:12,359 Speaker 1: angry next segment, so stay tuned. 291 00:18:13,600 --> 00:18:15,120 Speaker 2: Armstrong and Getty. 292 00:18:16,280 --> 00:18:18,080 Speaker 1: Tragedy on a Florida Turnpike. 293 00:18:18,200 --> 00:18:21,960 Speaker 5: Terrifying video shows an illegal immigrant from India, a truck 294 00:18:22,040 --> 00:18:25,760 Speaker 5: driver allegedly making a reckless U turn that caused a crash, 295 00:18:25,960 --> 00:18:30,400 Speaker 5: killing three people. That driver now facing potential deportation. 296 00:18:31,480 --> 00:18:33,600 Speaker 2: So that's sort He got a fair amount of attention 297 00:18:34,080 --> 00:18:36,560 Speaker 2: over the weekend early in the week, but as more 298 00:18:36,640 --> 00:18:41,560 Speaker 2: details come forward on this illegal who had a commercial 299 00:18:41,600 --> 00:18:45,879 Speaker 2: truck driving license, it gets more outrageous. Here's another report 300 00:18:45,880 --> 00:18:46,720 Speaker 2: from Fox News. 301 00:18:46,920 --> 00:18:50,240 Speaker 6: Following the wreck, investigators with the US DOT gave sing 302 00:18:50,280 --> 00:18:54,560 Speaker 6: an English language proficiency test. According to a DOT press release, 303 00:18:54,600 --> 00:18:58,240 Speaker 6: the driver failed the assessment, providing correct responses to just 304 00:18:58,359 --> 00:19:03,160 Speaker 6: two of twelve verbal questions and only accurately identifying one 305 00:19:03,200 --> 00:19:07,159 Speaker 6: of four highway traffic signs. Because Singh, who entered the 306 00:19:07,240 --> 00:19:10,639 Speaker 6: US from Mexico in twenty eighteen, is an asylum seeker 307 00:19:10,680 --> 00:19:14,879 Speaker 6: from India, the DOT says Washington State violated federal guidelines 308 00:19:14,880 --> 00:19:18,679 Speaker 6: by issuing him a full term commercial driver's license in 309 00:19:18,720 --> 00:19:22,320 Speaker 6: twenty twenty three, and they believe New Mexico State police 310 00:19:22,359 --> 00:19:25,320 Speaker 6: may have failed to assess his English skills during a 311 00:19:25,400 --> 00:19:30,760 Speaker 6: roadside inspection. Additionally, the DOT says it's investigating whether California 312 00:19:30,840 --> 00:19:35,000 Speaker 6: acted within federal guidelines when it issued sing a limited 313 00:19:35,119 --> 00:19:37,320 Speaker 6: term CDL in twenty twenty four. 314 00:19:37,680 --> 00:19:42,280 Speaker 2: So he had three states that pride themselves on being 315 00:19:42,359 --> 00:19:45,240 Speaker 2: up with illegals and sanctuaries and all that sort of 316 00:19:45,240 --> 00:19:50,000 Speaker 2: stuff that helped this guy have a commercial driver's license 317 00:19:50,080 --> 00:19:52,560 Speaker 2: be behind the wheel of a giant semi truck when 318 00:19:52,560 --> 00:19:55,320 Speaker 2: he can't not only can he not read or speak English, 319 00:19:55,800 --> 00:19:58,440 Speaker 2: but he can't even identify me. Because traffic signs are 320 00:19:58,600 --> 00:20:01,119 Speaker 2: shapes and colors that you don't even need to be 321 00:20:01,160 --> 00:20:05,440 Speaker 2: able to read that they're usually pictures. He couldn't identify those. 322 00:20:06,520 --> 00:20:09,119 Speaker 1: He couldn't. He got one out of four. 323 00:20:09,960 --> 00:20:14,360 Speaker 2: There are no standards, no, no yet. Well clearly, yeah, 324 00:20:14,520 --> 00:20:17,840 Speaker 2: just pretty much anybody who could fog a mirror, who 325 00:20:17,920 --> 00:20:22,120 Speaker 2: wanted to drive a semi truck could in California, Washington, 326 00:20:22,119 --> 00:20:24,600 Speaker 2: and then you could hang onto your license in New Mexico. 327 00:20:24,920 --> 00:20:28,760 Speaker 2: Let's hear from the Attorney General of Florida as he's 328 00:20:29,000 --> 00:20:32,080 Speaker 2: been The crash happened in Florida, so they've been looking 329 00:20:32,080 --> 00:20:33,120 Speaker 2: into this guy's background. 330 00:20:33,720 --> 00:20:35,280 Speaker 1: Yeah, it's a horrific situation. 331 00:20:35,480 --> 00:20:39,240 Speaker 7: California should not have provided this person the driver's license 332 00:20:39,320 --> 00:20:41,639 Speaker 7: and a permit not just for a car, but to 333 00:20:41,800 --> 00:20:46,840 Speaker 7: drive large scale trucks to then drive into Florida, engage 334 00:20:46,880 --> 00:20:49,360 Speaker 7: in this dangerous behavior and take the lives of three 335 00:20:49,400 --> 00:20:52,240 Speaker 7: others as really a tragedy. We're not going to deport 336 00:20:52,320 --> 00:20:54,439 Speaker 7: or let this guy out of our sights until we 337 00:20:54,560 --> 00:20:57,639 Speaker 7: have convicted him and ensured that he is behind bars 338 00:20:57,640 --> 00:20:59,840 Speaker 7: for as long as possible, likely the rest of his 339 00:20:59,880 --> 00:21:03,040 Speaker 7: life life. Only then will we hand him over to 340 00:21:03,040 --> 00:21:05,480 Speaker 7: Ice for deportation. But he's going to serve his time. 341 00:21:06,440 --> 00:21:09,760 Speaker 2: Yeah, and you know, whatever the penalty is for killing 342 00:21:09,800 --> 00:21:14,800 Speaker 2: those people the way he did is you know, that's 343 00:21:14,840 --> 00:21:17,240 Speaker 2: that part of the story. But the important part of 344 00:21:17,240 --> 00:21:21,080 Speaker 2: the story for us, obviously is what what the hell 345 00:21:21,320 --> 00:21:26,960 Speaker 2: is the ideology behind we're going to give illegals licenses 346 00:21:27,000 --> 00:21:31,040 Speaker 2: to drive semi trucks without them having the skills. 347 00:21:31,280 --> 00:21:34,080 Speaker 1: I mean, what is that ideology? What do you think 348 00:21:34,080 --> 00:21:39,240 Speaker 1: you're accomplishing. I just think it's the sanctuary ideology, which 349 00:21:39,320 --> 00:21:44,480 Speaker 1: is insane and just counter to all, you know, reasonableness. 350 00:21:44,520 --> 00:21:48,200 Speaker 1: We're just going to ignore laws and let people into 351 00:21:48,240 --> 00:21:52,080 Speaker 1: the country of willy nilly combined with desperate need for truckers. 352 00:21:52,880 --> 00:21:55,879 Speaker 1: I think Gavy Knewsome probably had you know, various companies 353 00:21:55,920 --> 00:21:57,800 Speaker 1: saying look, we really need guys. You got to just 354 00:21:57,920 --> 00:22:00,720 Speaker 1: let these people get their licenses. I got this note 355 00:22:00,760 --> 00:22:02,000 Speaker 1: from Aleen anonymous. 356 00:22:02,240 --> 00:22:04,440 Speaker 2: Well, and then he got the whole problem. We need 357 00:22:04,480 --> 00:22:07,200 Speaker 2: guys at the wage we're willing to pay because there 358 00:22:07,240 --> 00:22:10,000 Speaker 2: are legals we're willing to hire, which drives down wages. 359 00:22:10,359 --> 00:22:13,359 Speaker 2: So you wouldn't be hiring people who can speak English 360 00:22:13,400 --> 00:22:14,560 Speaker 2: and read traffic signs. 361 00:22:14,960 --> 00:22:17,240 Speaker 1: Oh yeah, I wasn't defending it by any stretch, but 362 00:22:17,240 --> 00:22:19,920 Speaker 1: that's an excellent point. Got this note from Alien Anymous 363 00:22:20,000 --> 00:22:24,280 Speaker 1: worked on the Santa Rosa, California wildfire cleanup. Talked to 364 00:22:24,320 --> 00:22:27,040 Speaker 1: a bunch of truckers, and these guys are haul and 365 00:22:27,160 --> 00:22:31,720 Speaker 1: logs on mountain roads, and they said the young drivers frequently. 366 00:22:31,960 --> 00:22:35,960 Speaker 1: They all had stories about the dangers of the young 367 00:22:36,760 --> 00:22:40,800 Speaker 1: truck drivers on these mountain roads because they're bad. And 368 00:22:40,920 --> 00:22:43,399 Speaker 1: they said the young drivers frequently spoke little to no 369 00:22:43,520 --> 00:22:50,440 Speaker 1: English and had limited to no training. That's crazy. Yeah, 370 00:22:50,480 --> 00:22:54,320 Speaker 1: And this is just this one, you know, unintentionally murderous 371 00:22:55,280 --> 00:22:56,720 Speaker 1: jackass in Florida. 372 00:22:57,240 --> 00:23:00,560 Speaker 2: This reminds me of the homeless situation. And we talk 373 00:23:00,560 --> 00:23:02,479 Speaker 2: about a lot where like homest people can do all 374 00:23:02,560 --> 00:23:05,560 Speaker 2: kinds of things that you can't do They can have 375 00:23:05,600 --> 00:23:08,320 Speaker 2: an open container in the park, you can't. They can 376 00:23:08,400 --> 00:23:10,560 Speaker 2: let their dogs run around off leash, you can't. You 377 00:23:10,640 --> 00:23:12,280 Speaker 2: need to have your dog on leash and then show 378 00:23:12,320 --> 00:23:14,760 Speaker 2: your you know that, make sure your dog is registered 379 00:23:14,840 --> 00:23:15,720 Speaker 2: or you're gonna get a ticket. 380 00:23:15,720 --> 00:23:17,480 Speaker 1: Sure. And it's the same with like, if you're. 381 00:23:18,840 --> 00:23:21,439 Speaker 2: A citizen following the law, you have to do all 382 00:23:21,520 --> 00:23:23,639 Speaker 2: kinds of things to get this license or that license, 383 00:23:23,680 --> 00:23:25,080 Speaker 2: and if you get caught without it, you're gonna be 384 00:23:25,080 --> 00:23:25,919 Speaker 2: in all kinds of trouble. 385 00:23:26,000 --> 00:23:28,760 Speaker 1: But if you're illegal, everything goes. You can do anything 386 00:23:28,800 --> 00:23:29,080 Speaker 1: you want. 387 00:23:29,800 --> 00:23:33,760 Speaker 2: Yeah, that's an insane way nutty way to craft society. 388 00:23:34,560 --> 00:23:37,800 Speaker 1: And it's yet another example of and we've talked about this. 389 00:23:37,880 --> 00:23:40,359 Speaker 1: I think it was our two of the show, The 390 00:23:40,400 --> 00:23:44,159 Speaker 1: Democratic Party is hemorrhaging voters. The New York Times with 391 00:23:44,240 --> 00:23:47,960 Speaker 1: a big couple of features today on how people are 392 00:23:48,040 --> 00:23:51,440 Speaker 1: leaving the Democratic Party in drove in droves, and part 393 00:23:51,480 --> 00:23:54,760 Speaker 1: of that is what we've been talking about lately, the 394 00:23:55,080 --> 00:23:59,240 Speaker 1: preference cascade, where people are realizing, Yeah, I thought all 395 00:23:59,280 --> 00:24:02,399 Speaker 1: this stuff was crazy, but nobody was saying anything, so 396 00:24:02,480 --> 00:24:05,359 Speaker 1: I thought maybe I was the crazy one, but no, 397 00:24:05,680 --> 00:24:08,080 Speaker 1: we shouldn't have people sneaking into the country and driving 398 00:24:08,119 --> 00:24:12,560 Speaker 1: trucks without any sort of training. That's insane. And so 399 00:24:12,640 --> 00:24:16,400 Speaker 1: I think those who promote and defend these policies, which 400 00:24:16,440 --> 00:24:20,320 Speaker 1: are insane, are increasingly isolated, and thank goodness for it. 401 00:24:21,520 --> 00:24:24,080 Speaker 2: I'm trying to figure out because I haven't seen this 402 00:24:24,240 --> 00:24:26,600 Speaker 2: story anywhere but Fox and the New York Post? 403 00:24:26,600 --> 00:24:26,920 Speaker 5: Have you. 404 00:24:28,760 --> 00:24:29,840 Speaker 1: Not that I recall. 405 00:24:31,880 --> 00:24:37,800 Speaker 2: So that's part of the problem is that sure, people 406 00:24:37,800 --> 00:24:41,200 Speaker 2: who already think the sanctuary thing is ridiculous, people who 407 00:24:41,280 --> 00:24:45,840 Speaker 2: watch Fox and read the New York Post, Uh, you 408 00:24:45,840 --> 00:24:47,399 Speaker 2: don't need to convince them. And then the rest of 409 00:24:47,400 --> 00:24:50,040 Speaker 2: the country won't hear the story because it's not convenient, 410 00:24:50,880 --> 00:24:53,400 Speaker 2: or it will seem race science or something right. 411 00:24:53,640 --> 00:24:55,119 Speaker 1: And you know, there are a couple other stories that 412 00:24:55,160 --> 00:24:58,320 Speaker 1: are fairly similar to the Denver Gang investigation nine month 413 00:24:58,359 --> 00:25:01,520 Speaker 1: operation targeting Trendy ar Agua. These guys are involved in 414 00:25:01,600 --> 00:25:05,680 Speaker 1: drugs and human trafficking and murder for hire and all 415 00:25:05,720 --> 00:25:09,560 Speaker 1: sorts of different stuff, and the progressive powers that be 416 00:25:10,600 --> 00:25:10,800 Speaker 1: was it? 417 00:25:11,040 --> 00:25:11,359 Speaker 5: J D. E. 418 00:25:11,400 --> 00:25:14,560 Speaker 1: Vance was talking to Martha Raddits was it about this 419 00:25:14,840 --> 00:25:17,480 Speaker 1: apartment complex being taken over? And what she says something 420 00:25:17,480 --> 00:25:20,920 Speaker 1: the effective, Well, it's just one apartment complex taken over 421 00:25:21,000 --> 00:25:24,080 Speaker 1: by a dangerous foreign gang. You got. The mayor of 422 00:25:24,160 --> 00:25:27,720 Speaker 1: Boston yesterday was out and proud talking about, you know, 423 00:25:27,760 --> 00:25:30,320 Speaker 1: how how proud they are to be a sanctuary city 424 00:25:30,359 --> 00:25:32,720 Speaker 1: and they're not changing a damn thing. And I guess 425 00:25:32,720 --> 00:25:36,840 Speaker 1: she's got good poll numbers on that in Boston. But man, 426 00:25:36,920 --> 00:25:41,280 Speaker 1: that philosophy is people are fleeing from it because it's nuts. 427 00:25:41,920 --> 00:25:43,680 Speaker 2: How can you have truck drivers who don't speak a 428 00:25:43,720 --> 00:25:46,879 Speaker 2: word of English? How does that work with in the 429 00:25:46,920 --> 00:25:50,560 Speaker 2: way stations and loading and unloading and everything else. You 430 00:25:50,640 --> 00:25:52,840 Speaker 2: have to have people you're less than fifty to fifty 431 00:25:52,840 --> 00:25:58,120 Speaker 2: on knowing what road signs are. So Gavin Newsom's pushback 432 00:25:58,280 --> 00:26:00,560 Speaker 2: was that this guy had obtained a work work permit 433 00:26:00,840 --> 00:26:05,000 Speaker 2: while Trump was president. Okay, well, when or where or 434 00:26:05,040 --> 00:26:06,920 Speaker 2: if he got a work permit is not as important 435 00:26:06,920 --> 00:26:09,119 Speaker 2: to me as how the hell did you give him 436 00:26:09,119 --> 00:26:13,399 Speaker 2: a commercial driver's license when he can't read the signs? 437 00:26:13,920 --> 00:26:17,719 Speaker 1: Well, and then the Trump administration shot back, no, we didn't. 438 00:26:17,760 --> 00:26:20,360 Speaker 1: We turned him down. He got it the next year 439 00:26:20,400 --> 00:26:23,399 Speaker 1: when Biden was in office. So nice, ploy Gavy. 440 00:26:23,920 --> 00:26:27,120 Speaker 2: So he got three sanctuary states New Mexico, California, Washington 441 00:26:27,160 --> 00:26:31,920 Speaker 2: involved in this story. That is just the most insane policy. 442 00:26:31,920 --> 00:26:33,359 Speaker 2: I don't know if I can think of one that 443 00:26:33,359 --> 00:26:36,560 Speaker 2: could beat that. The whole sanctuary thing is flat crazy. 444 00:26:36,680 --> 00:26:39,480 Speaker 2: Of course, I also don't understand how our system hasn't 445 00:26:39,480 --> 00:26:41,560 Speaker 2: taken care of this yet, how it hasn't reached the 446 00:26:41,560 --> 00:26:44,359 Speaker 2: Supreme Court in some version where they finally shut it 447 00:26:44,400 --> 00:26:46,960 Speaker 2: down and say no, the sanctuary thing is, that's not 448 00:26:47,080 --> 00:26:47,440 Speaker 2: a thing. 449 00:26:47,760 --> 00:26:49,840 Speaker 1: You can't do that, just like you can't do it 450 00:26:49,880 --> 00:26:54,160 Speaker 1: with gun laws or anything else. Well, ending our roundup 451 00:26:54,280 --> 00:26:59,960 Speaker 1: of progressive states, Oregon is just proudly announced it's thirty 452 00:27:00,280 --> 00:27:05,160 Speaker 1: seventh LAFT suit of the Trump administration this week. They've 453 00:27:05,240 --> 00:27:08,879 Speaker 1: already filed thirty six. They added a thirty seventh. Now 454 00:27:09,320 --> 00:27:11,720 Speaker 1: it's nearly six times as many as the state filed 455 00:27:11,800 --> 00:27:14,639 Speaker 1: during his first year of his initial term of twenty seventeen. 456 00:27:16,800 --> 00:27:19,600 Speaker 1: Let's see. This one would challenge its threat to hold 457 00:27:19,720 --> 00:27:23,119 Speaker 1: withhold federal funds to support victims and survivors of crime 458 00:27:23,160 --> 00:27:26,960 Speaker 1: from states that refuse to assist with federal immigration enforcement efforts. 459 00:27:27,200 --> 00:27:31,040 Speaker 1: Ah okay, so if you're a sanctuary state, you don't 460 00:27:31,080 --> 00:27:35,720 Speaker 1: get crime money. 461 00:27:37,840 --> 00:27:41,960 Speaker 2: Keep riding that Democratic Party, keep fighting the good fight. 462 00:27:43,000 --> 00:27:45,119 Speaker 1: Thirty seven lawsuits, that's plenty. 463 00:27:48,160 --> 00:27:50,600 Speaker 2: As such a frustrating story. And you know, I don't 464 00:27:50,600 --> 00:27:56,400 Speaker 2: even have a imagine the relatives of the family killed 465 00:27:56,400 --> 00:27:58,240 Speaker 2: in the mini van when this guy made his I 466 00:27:58,280 --> 00:28:00,640 Speaker 2: legal return. You're telling me that guy that great big 467 00:28:00,880 --> 00:28:04,600 Speaker 2: semi truck can't read road signs, and he's here illegally. 468 00:28:04,640 --> 00:28:08,439 Speaker 1: And two different states give him licenses, and. 469 00:28:08,440 --> 00:28:10,440 Speaker 2: Then when he gets caught in another state and they 470 00:28:10,480 --> 00:28:12,640 Speaker 2: find out, wait a second, you got a license. 471 00:28:13,240 --> 00:28:15,040 Speaker 1: With the kind of license you got, you need to 472 00:28:15,040 --> 00:28:15,760 Speaker 1: be able to read. 473 00:28:15,640 --> 00:28:16,560 Speaker 2: English, and you can't. 474 00:28:16,840 --> 00:28:19,800 Speaker 1: They didn't do anything well, and you know, not to 475 00:28:19,880 --> 00:28:23,920 Speaker 1: turn everybody bitter and angry, but this really it's even 476 00:28:23,920 --> 00:28:26,399 Speaker 1: more insidious than it seems, because the rest of us 477 00:28:26,480 --> 00:28:29,760 Speaker 1: are told, but you have to follow the law, and 478 00:28:29,920 --> 00:28:34,159 Speaker 1: you have to pay your taxes, and we will bust 479 00:28:34,240 --> 00:28:37,720 Speaker 1: you or find you, or take away your business license 480 00:28:37,840 --> 00:28:41,520 Speaker 1: or whatever if we find you in the slightest violation 481 00:28:41,680 --> 00:28:44,800 Speaker 1: of our zillions of different rules. But these people know 482 00:28:44,840 --> 00:28:47,800 Speaker 1: it's fine. They can do whatever they want. It makes 483 00:28:47,800 --> 00:28:49,000 Speaker 1: people cynical and angry. 484 00:28:52,120 --> 00:28:55,080 Speaker 2: Before we take a break, I finally have my sailing 485 00:28:55,160 --> 00:28:56,200 Speaker 2: lessons this weekend. 486 00:28:56,840 --> 00:28:57,600 Speaker 1: Oh good, A. 487 00:28:57,520 --> 00:29:02,800 Speaker 2: Phrase I never thought I would say. It is a tiny, 488 00:29:02,840 --> 00:29:07,360 Speaker 2: little man made lake in my neighborhood with these little, 489 00:29:07,400 --> 00:29:10,720 Speaker 2: tiny sailboats, and I'm probably gonna be out there with children. 490 00:29:11,000 --> 00:29:11,440 Speaker 1: I don't know. 491 00:29:11,560 --> 00:29:13,520 Speaker 2: I don't know who else is going to be taking lessons. 492 00:29:14,280 --> 00:29:14,760 Speaker 1: It's gonna be. 493 00:29:14,760 --> 00:29:15,560 Speaker 2: Pretty funny, though. 494 00:29:15,920 --> 00:29:18,880 Speaker 1: Yeah, I'm kind of jealous. Though I've never really sailed. 495 00:29:19,280 --> 00:29:21,960 Speaker 1: I have a friend who's been crazy into it since 496 00:29:21,960 --> 00:29:23,480 Speaker 1: he was a kid. Now his kids do it. 497 00:29:23,920 --> 00:29:25,840 Speaker 2: I don't know that I'll be able to say that 498 00:29:25,960 --> 00:29:28,600 Speaker 2: I have sailed even after I've take these lessons. I mean, 499 00:29:28,840 --> 00:29:31,280 Speaker 2: I suppose I can say it, but I get a certificate. 500 00:29:31,440 --> 00:29:33,360 Speaker 2: It's two hours on Saturday from noon to two, and 501 00:29:33,400 --> 00:29:34,880 Speaker 2: then two hours on Sunday from noon to two, and 502 00:29:34,920 --> 00:29:37,160 Speaker 2: then I get a certificate, and I don't know what 503 00:29:37,160 --> 00:29:38,920 Speaker 2: the certificates is going to say or what it qualifies. 504 00:29:38,960 --> 00:29:42,120 Speaker 1: So the state of California to get you a commercial 505 00:29:42,160 --> 00:29:43,280 Speaker 1: boat captain's license. 506 00:29:43,320 --> 00:29:45,520 Speaker 2: Probably I can probably drive one of those great big 507 00:29:45,560 --> 00:29:49,160 Speaker 2: tankers to China full of cargo containers. 508 00:29:49,040 --> 00:29:51,760 Speaker 1: Or a ferry with hundreds of souls aboard around San 509 00:29:51,800 --> 00:29:54,040 Speaker 1: Francisco Bay, for instance. But as I've said. 510 00:29:54,120 --> 00:29:57,840 Speaker 2: I mean, I haven't even taken the ridiculously short four 511 00:29:57,840 --> 00:30:02,680 Speaker 2: hour course on the tiny little sailboat and made lake yet, 512 00:30:02,840 --> 00:30:05,280 Speaker 2: but I've already started shopping for sailboats. I got my plans. 513 00:30:05,280 --> 00:30:07,280 Speaker 2: I mean, I'm going big, of course I am. That's 514 00:30:07,280 --> 00:30:09,000 Speaker 2: the way you gotta do, right, got to get the 515 00:30:09,040 --> 00:30:11,480 Speaker 2: captain's hat. Well, you got to get the outfit. Of course, 516 00:30:11,520 --> 00:30:14,040 Speaker 2: I have to get the outfit. But then you know, 517 00:30:14,080 --> 00:30:15,320 Speaker 2: I'll be sailing around the world. 518 00:30:17,040 --> 00:30:20,080 Speaker 1: Say yeah, NonStop to Tokyo, you know something like that. 519 00:30:20,760 --> 00:30:23,400 Speaker 2: My biggest problem with the idea of actual boating is 520 00:30:23,720 --> 00:30:25,560 Speaker 2: I get see six so damn easy at this point 521 00:30:25,560 --> 00:30:31,120 Speaker 2: in my life. Motion sickness. Oh try uh dramamine or 522 00:30:31,120 --> 00:30:31,600 Speaker 2: something like that. 523 00:30:32,240 --> 00:30:37,320 Speaker 1: Boning, go with boning. Boning is better than boning. Yeah, 524 00:30:37,720 --> 00:30:41,200 Speaker 1: it makes you less drowsy. So we've been the Getty household. 525 00:30:41,240 --> 00:30:43,440 Speaker 1: We've sworn by it for years and years and years. 526 00:30:43,680 --> 00:30:48,960 Speaker 1: Many a whale watch and other aquatic voyage boning. 527 00:30:48,640 --> 00:30:49,840 Speaker 2: Yep, and you've never chundered. 528 00:30:50,960 --> 00:30:55,880 Speaker 1: Uh no, no. In fact, I took it a little 529 00:30:56,000 --> 00:30:59,080 Speaker 1: late for one whale watching trip with the kids years 530 00:30:59,080 --> 00:31:02,480 Speaker 1: and years ago, and we started out on some really 531 00:31:02,560 --> 00:31:06,320 Speaker 1: choppy seas, and I felt some nausea coming on strong, 532 00:31:06,920 --> 00:31:08,920 Speaker 1: and then the drug kicked in and it was like, nope, 533 00:31:08,960 --> 00:31:11,120 Speaker 1: you're fine. Oh wow, Yeah. 534 00:31:11,160 --> 00:31:12,720 Speaker 2: I read, I read. I read a whole bunch of 535 00:31:12,760 --> 00:31:14,840 Speaker 2: books about sailing around the world because I was obsessed 536 00:31:14,840 --> 00:31:17,440 Speaker 2: with it for a while. And uh. In one of 537 00:31:17,440 --> 00:31:20,240 Speaker 2: the books, this father and son they sailed around the 538 00:31:20,240 --> 00:31:22,240 Speaker 2: world just to them, which would be a really cool activity, 539 00:31:22,240 --> 00:31:25,120 Speaker 2: but they would talk about how when they would set 540 00:31:25,160 --> 00:31:27,880 Speaker 2: off from any port, it'd be several days of vomiting 541 00:31:27,920 --> 00:31:29,920 Speaker 2: before they got their sea legs as they call it, 542 00:31:30,240 --> 00:31:32,360 Speaker 2: and your body adjusts to it, and then the vomitings 543 00:31:32,400 --> 00:31:35,880 Speaker 2: are I can't imagine doing a couple of days of 544 00:31:35,960 --> 00:31:39,840 Speaker 2: leaning over the railing vomiting until your body adjusts. 545 00:31:39,880 --> 00:31:42,880 Speaker 1: That sounds I just don't can't imagine doing that, trying 546 00:31:42,880 --> 00:31:46,040 Speaker 1: to stay hydrated and everything. Is that what people really 547 00:31:46,080 --> 00:31:51,560 Speaker 1: did prior to boning coming on the market. Probably that's 548 00:31:51,560 --> 00:31:53,080 Speaker 1: what getting your sea legs means. 549 00:31:53,080 --> 00:31:55,479 Speaker 2: If you didn't know that, you just you throw up 550 00:31:55,520 --> 00:31:57,280 Speaker 2: until your body decides, Okay, I guess this is what 551 00:31:57,320 --> 00:31:58,480 Speaker 2: we're doing. It gives up. 552 00:32:00,800 --> 00:32:02,240 Speaker 1: Got that sounds horrific. 553 00:32:02,840 --> 00:32:07,840 Speaker 2: Wow, Anyway, I'll let you know how it goes. On Monday. 554 00:32:08,000 --> 00:32:10,680 Speaker 2: I'm gonna really talk a lot about you know, we 555 00:32:10,800 --> 00:32:11,400 Speaker 2: men of the sea. 556 00:32:11,520 --> 00:32:13,720 Speaker 1: So you'll be here. How about that one? I'm expecting 557 00:32:13,800 --> 00:32:17,840 Speaker 1: you like Churchill rum sodomy in the lash. That's what 558 00:32:18,200 --> 00:32:20,400 Speaker 1: keeps order above a board years sail boat. 559 00:32:20,680 --> 00:32:23,120 Speaker 2: My parents supposed to get here. I overnighted it from Amazon. 560 00:32:23,120 --> 00:32:25,040 Speaker 2: My parent's supposed to get here on Friday afternoon. So 561 00:32:25,760 --> 00:32:28,360 Speaker 2: have that on my shoulder. That will be a good start. 562 00:32:28,720 --> 00:32:30,560 Speaker 2: Mail order parrots. 563 00:32:31,840 --> 00:32:32,360 Speaker 1: More on the way. 564 00:32:32,400 --> 00:32:37,240 Speaker 2: Stay here, you're trustpassing. 565 00:32:37,280 --> 00:32:47,280 Speaker 1: We gotta leave now. Number one, you're not gonna arrest us. 566 00:32:47,320 --> 00:32:48,760 Speaker 3: Number two, we gotta go. 567 00:32:48,880 --> 00:32:51,920 Speaker 1: I'm an aging. I'm an aging. Good for you. 568 00:32:52,120 --> 00:32:53,959 Speaker 2: Let's go. 569 00:32:54,640 --> 00:32:58,400 Speaker 1: Put your hands off. I'm a ag. 570 00:33:06,080 --> 00:33:06,960 Speaker 2: What's going on there? 571 00:33:07,560 --> 00:33:12,720 Speaker 1: Oh my gosh, that's a couple of drunk hot chicks, 572 00:33:13,360 --> 00:33:17,560 Speaker 1: one of whom is a special Assistant Attorney General in 573 00:33:17,600 --> 00:33:21,520 Speaker 1: the State of Rhode Island, at a restaurant that they 574 00:33:21,520 --> 00:33:25,520 Speaker 1: were asked to leave and they wouldn't and were mouthy 575 00:33:25,840 --> 00:33:30,480 Speaker 1: and and loud? How how how how honorably abusive? 576 00:33:30,880 --> 00:33:33,040 Speaker 2: How annoying do you have to be as hot chicks 577 00:33:33,040 --> 00:33:36,320 Speaker 2: to get kicked out of a restaurant because you're drunk pretty. 578 00:33:36,080 --> 00:33:39,320 Speaker 1: Damn and so the cops you can hear them. Look, 579 00:33:39,400 --> 00:33:42,320 Speaker 1: you gotta go all right now, you can't. You can't 580 00:33:42,360 --> 00:33:44,560 Speaker 1: arrest me. I'm an ag. And at one point, the 581 00:33:44,600 --> 00:33:48,120 Speaker 1: one chick says, uh, I want you to turn your 582 00:33:48,120 --> 00:33:50,640 Speaker 1: body cam off. Protocol is that you turn it off. 583 00:33:50,680 --> 00:33:54,120 Speaker 1: It's a citizen request that you turn it off. A 584 00:33:54,200 --> 00:33:57,520 Speaker 1: thing there. And you know what's funny is a great 585 00:33:57,560 --> 00:34:00,560 Speaker 1: deal is being made of her being or any an 586 00:34:00,600 --> 00:34:04,479 Speaker 1: AG or assistant AG or whatever she was. But it's drunk, 587 00:34:04,720 --> 00:34:09,560 Speaker 1: mouthy hot chicks who don't like being told what to do. 588 00:34:10,360 --> 00:34:12,160 Speaker 1: You gonna regret this. I'm an ag. 589 00:34:13,719 --> 00:34:15,359 Speaker 2: God, I'm glad I never did that. I think it's 590 00:34:15,360 --> 00:34:17,520 Speaker 2: got to be in your personality. Though I would never 591 00:34:17,719 --> 00:34:18,680 Speaker 2: it's just so not. 592 00:34:18,719 --> 00:34:23,960 Speaker 1: What I would do. And I like, Michael, run that 593 00:34:23,960 --> 00:34:26,040 Speaker 1: again real quickly because I want to draw attention to 594 00:34:26,080 --> 00:34:27,880 Speaker 1: my favorite exchange. 595 00:34:27,800 --> 00:34:29,440 Speaker 6: Your trustpassor we gotta leave now. 596 00:34:34,160 --> 00:34:38,439 Speaker 1: You go ahead, turn it off. You're trespassing. You need 597 00:34:38,480 --> 00:34:41,560 Speaker 1: to leave. You haven't noticified us that you were trespassing. 598 00:34:41,719 --> 00:34:48,320 Speaker 1: What did I just say to you? Shut your pie hole, 599 00:34:48,520 --> 00:34:50,360 Speaker 1: you mouthy wench. 600 00:34:52,440 --> 00:34:54,520 Speaker 2: So I want to get these uh this story on 601 00:34:54,560 --> 00:34:56,920 Speaker 2: while we're still on in uh Los. 602 00:34:56,719 --> 00:34:58,719 Speaker 1: Angeles and'sah And then of course you tried to kick 603 00:34:58,760 --> 00:35:01,400 Speaker 1: out the police car at least cart door while she 604 00:35:01,480 --> 00:35:05,400 Speaker 1: was inside the which is a great way to prove 605 00:35:05,440 --> 00:35:08,680 Speaker 1: that you were not in this sort of person that 606 00:35:08,719 --> 00:35:12,600 Speaker 1: needs to be arrested. Right, You're not the a hole 607 00:35:12,640 --> 00:35:13,360 Speaker 1: in this situation. 608 00:35:13,560 --> 00:35:15,680 Speaker 2: You're not out of control. I'll show you how not 609 00:35:16,400 --> 00:35:18,319 Speaker 2: out of control I am by kicking the windows out 610 00:35:18,360 --> 00:35:20,799 Speaker 2: of the car. I want to get this story on 611 00:35:20,840 --> 00:35:23,160 Speaker 2: for all of our California stations or the rest of 612 00:35:23,200 --> 00:35:26,400 Speaker 2: the country who might ever think about being like California, 613 00:35:26,440 --> 00:35:32,600 Speaker 2: Please don't. This is from the executive chairman of bed 614 00:35:32,880 --> 00:35:35,960 Speaker 2: Bath and Beyond put out a statement we are not 615 00:35:36,600 --> 00:35:39,719 Speaker 2: going to open or operate retail stores in California. This 616 00:35:39,800 --> 00:35:42,200 Speaker 2: is from bed Bath and Beyond. They have bed Bath beyonds. 617 00:35:42,200 --> 00:35:43,520 Speaker 2: Are they going to close them? Or I don't quite 618 00:35:43,560 --> 00:35:47,839 Speaker 2: get that. I guess some new ones. The decision isn't 619 00:35:47,880 --> 00:35:51,080 Speaker 2: about politics, it's about reality. California has created one of 620 00:35:51,120 --> 00:35:55,000 Speaker 2: the most overregulated, expensive and risky environments for businesses in America. 621 00:35:55,280 --> 00:35:57,480 Speaker 2: It's a system that makes it harder to employ people, 622 00:35:57,600 --> 00:35:59,799 Speaker 2: harder to keep doors open, and harder to deliver value 623 00:35:59,800 --> 00:36:03,320 Speaker 2: to customers. The result higher taxes, hire fees, higher wages 624 00:36:03,360 --> 00:36:06,960 Speaker 2: that many businesses simply can't sustain, and endless regulations that 625 00:36:07,040 --> 00:36:09,319 Speaker 2: strangle growth. It goes on and on and on at 626 00:36:09,320 --> 00:36:11,880 Speaker 2: bed Bath and beyond our responsibilities to our customers and 627 00:36:11,880 --> 00:36:13,239 Speaker 2: our shareholders. 628 00:36:12,800 --> 00:36:16,120 Speaker 1: We'll no longer have stoes in California and lots and 629 00:36:16,200 --> 00:36:19,080 Speaker 1: lots of crime. You too can have this vote. Gavin 630 00:36:19,160 --> 00:36:20,640 Speaker 1: Newsom in twenty twenty eight. 631 00:36:20,680 --> 00:36:22,920 Speaker 2: Friend, excellent point if you missed the segment or now, 632 00:36:23,040 --> 00:36:27,040 Speaker 2: or get the podcast Armstrong and Getty on demand Armstrong 633 00:36:27,120 --> 00:36:27,680 Speaker 2: and Getty