1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:17,560 Speaker 2: Armstrong and Getty and now he Armstrong and Eddy. 4 00:00:23,960 --> 00:00:24,280 Speaker 3: Ice. 5 00:00:24,560 --> 00:00:27,720 Speaker 4: They need more people, so they're having a big recruitment program, 6 00:00:27,720 --> 00:00:28,560 Speaker 4: no age limit. 7 00:00:28,600 --> 00:00:28,760 Speaker 2: Now. 8 00:00:28,760 --> 00:00:31,560 Speaker 4: They announced this week also a signing BTUs. You have 9 00:00:31,640 --> 00:00:35,120 Speaker 4: fifty thousand dollars signing btis you could put a porch 10 00:00:35,200 --> 00:00:37,160 Speaker 4: on your house for that. Good luck to find anyone 11 00:00:37,159 --> 00:00:38,120 Speaker 4: who could build it, but. 12 00:00:40,120 --> 00:00:40,960 Speaker 2: You could find it. 13 00:00:47,600 --> 00:00:50,600 Speaker 3: Yeah, I got a little construction going on at my place, 14 00:00:50,640 --> 00:00:52,520 Speaker 3: and I've got to admit, if there was a raid, 15 00:00:52,720 --> 00:00:54,160 Speaker 3: I'd be afraid. 16 00:00:56,200 --> 00:00:58,720 Speaker 2: About the rate of progress going forward. 17 00:00:58,880 --> 00:01:03,200 Speaker 3: Gotcha, Although I have no idea, and I've actually talked 18 00:01:03,240 --> 00:01:06,640 Speaker 3: to I've talked to a number of construction pros, not 19 00:01:06,680 --> 00:01:09,480 Speaker 3: only recently but through the years, and they all say 20 00:01:09,560 --> 00:01:14,120 Speaker 3: roughly the same thing. That my guys all have paperwork 21 00:01:14,200 --> 00:01:18,600 Speaker 3: that I think is in order my subcontractor. The head 22 00:01:18,640 --> 00:01:20,800 Speaker 3: guy's a really good guy, and he says the same 23 00:01:20,880 --> 00:01:21,360 Speaker 3: thing to me. 24 00:01:21,560 --> 00:01:23,120 Speaker 2: But I have no idea. 25 00:01:24,280 --> 00:01:26,039 Speaker 3: And then as you go down the line, I mean, 26 00:01:26,120 --> 00:01:30,440 Speaker 3: just the rigor of checking people and what's the incentive 27 00:01:32,160 --> 00:01:35,080 Speaker 3: is there? Are no significant distances to be rigorous about 28 00:01:35,160 --> 00:01:37,720 Speaker 3: checking the paperwork in. Just since you brought that up, 29 00:01:37,840 --> 00:01:41,840 Speaker 3: the Centers for Immigration Studies put out the latest Daddy yesterday, 30 00:01:42,240 --> 00:01:49,120 Speaker 3: an unprecedented two point two million person decline in total 31 00:01:49,200 --> 00:01:53,400 Speaker 3: foreign born or immigrant population between January and July of 32 00:01:53,480 --> 00:01:57,360 Speaker 3: this year. Two point two million less illegals in this 33 00:01:57,480 --> 00:01:59,960 Speaker 3: country in six months. 34 00:02:00,680 --> 00:02:07,440 Speaker 2: Did they all flee back home? That's the assumption. Huh. 35 00:02:07,440 --> 00:02:10,079 Speaker 2: I would like to deport about that number they self deported. 36 00:02:10,680 --> 00:02:11,359 Speaker 2: It's possible. 37 00:02:11,400 --> 00:02:14,240 Speaker 3: Anyway, more than we've we've we haven't even touched on 38 00:02:14,360 --> 00:02:17,680 Speaker 3: perhaps the biggest story of the week or month, Taylor 39 00:02:17,720 --> 00:02:21,720 Speaker 3: Swift's giant announcement yesterday. Many soccer moms and some soccer 40 00:02:21,840 --> 00:02:23,880 Speaker 3: dads I've known who care a lot about this. We 41 00:02:23,919 --> 00:02:26,320 Speaker 3: need to promise to get to that next segment. Many 42 00:02:26,360 --> 00:02:30,519 Speaker 3: soccer daughters as well, and sons. And that's fine, son, 43 00:02:30,680 --> 00:02:32,640 Speaker 3: Your mom and I loved you very much, no matter 44 00:02:33,400 --> 00:02:34,399 Speaker 3: what orientations. 45 00:02:34,400 --> 00:02:36,040 Speaker 2: Disappointed out of the will. 46 00:02:36,639 --> 00:02:40,040 Speaker 3: So speaking of young people, we'll get to this later on. 47 00:02:40,440 --> 00:02:45,680 Speaker 3: Meet the parents raising carnivore babies, babies that they feed 48 00:02:45,760 --> 00:02:47,320 Speaker 3: only meat and protein too. 49 00:02:47,600 --> 00:02:49,840 Speaker 2: It's the latest trend. You should know about Jack. 50 00:02:50,080 --> 00:02:53,639 Speaker 3: I think I was confronted before the show today getting 51 00:02:53,680 --> 00:02:57,880 Speaker 3: ready with at least three different trends I needed to 52 00:02:57,960 --> 00:03:03,399 Speaker 3: know about if I might one hundred fing weirdos online 53 00:03:03,600 --> 00:03:07,959 Speaker 3: is not a trend. Neither is a thousand. Really, neither 54 00:03:08,120 --> 00:03:12,600 Speaker 3: is ten thousand. We're a country of three hundred and 55 00:03:12,600 --> 00:03:14,880 Speaker 3: forty million people, never mind the fact that it's a 56 00:03:14,880 --> 00:03:21,920 Speaker 3: global village. There is no idea so stupid lunatic, just 57 00:03:22,160 --> 00:03:25,960 Speaker 3: kind of specialized that you can't get ten thousand people 58 00:03:26,000 --> 00:03:28,119 Speaker 3: around the world to say I'm totally into this too, 59 00:03:28,360 --> 00:03:30,880 Speaker 3: and then I have to hear about it, whether it's 60 00:03:30,960 --> 00:03:34,520 Speaker 3: the Jujub's or what was the name of those dopey 61 00:03:34,760 --> 00:03:39,240 Speaker 3: dolls yesterday, Lulu la Hulu's, Zuzu's boo boos? 62 00:03:39,720 --> 00:03:41,720 Speaker 2: Was it boululus? What is it? Katie? 63 00:03:41,760 --> 00:03:46,320 Speaker 3: You got lollapaloozas, so clus la booboos la booboos, right 64 00:03:46,480 --> 00:03:50,960 Speaker 3: to lollapaloozas. I just think I think you could argue 65 00:03:50,960 --> 00:03:53,839 Speaker 3: that even if a million people are doing something, it's 66 00:03:53,840 --> 00:03:57,000 Speaker 3: not a trend. I need to hear about, h arguably 67 00:03:57,000 --> 00:03:59,080 Speaker 3: why a million people are into something? 68 00:03:59,160 --> 00:04:00,840 Speaker 2: Who cares? Right? 69 00:04:01,080 --> 00:04:03,720 Speaker 3: Right? But anyway, this whole carnivore baby thing. We'll talk 70 00:04:03,720 --> 00:04:05,800 Speaker 3: about that, carnivore babies. What is your goal? 71 00:04:05,880 --> 00:04:09,320 Speaker 2: Okay, I'll stay tuned. I don't even have the energy. 72 00:04:09,480 --> 00:04:10,880 Speaker 2: Maybe I need to eat more meat. 73 00:04:11,480 --> 00:04:13,800 Speaker 3: Anyway, there are all sorts of stuff, all sorts of 74 00:04:13,800 --> 00:04:16,200 Speaker 3: things we could talk about, but just at least briefly, 75 00:04:16,320 --> 00:04:23,279 Speaker 3: a little feature ed I'd like to call ai oh no, what. 76 00:04:25,880 --> 00:04:31,479 Speaker 2: Did you say? This is called? It's called ai oh no? Wow. 77 00:04:35,000 --> 00:04:35,440 Speaker 2: I like that. 78 00:04:35,520 --> 00:04:37,760 Speaker 3: It's got It tells you what the topic is and 79 00:04:37,800 --> 00:04:39,520 Speaker 3: then denotes a sense of. 80 00:04:39,520 --> 00:04:42,480 Speaker 2: Urgency, right and foreboding. 81 00:04:42,760 --> 00:04:45,680 Speaker 3: Yes, indeed, that's what I was going for so first 82 00:04:45,720 --> 00:04:47,640 Speaker 3: of all, and I wasn't even gonna include this, but 83 00:04:47,640 --> 00:04:49,119 Speaker 3: it's kind of stuck in the back of my mind. 84 00:04:49,279 --> 00:04:50,520 Speaker 3: Is a think piece I think it was in the 85 00:04:50,560 --> 00:04:53,880 Speaker 3: Free Press talking about the appeal of socialism these days, 86 00:04:54,040 --> 00:04:57,120 Speaker 3: and how you know, we've turned out a couple of 87 00:04:57,160 --> 00:05:04,560 Speaker 3: generations of youngsters who are absolutely you know, indoctrinated, brainwashed 88 00:05:04,600 --> 00:05:08,360 Speaker 3: into thinking, you know, the Western world's bad and capitalism 89 00:05:08,440 --> 00:05:09,680 Speaker 3: is bad and collectivism and. 90 00:05:09,600 --> 00:05:12,440 Speaker 2: Blah blah blah. We all know all the whole woke thing, 91 00:05:12,480 --> 00:05:15,440 Speaker 2: the whole critical theory thing. And then they point out. 92 00:05:15,520 --> 00:05:18,920 Speaker 3: You combine that with a future in which the very 93 00:05:19,560 --> 00:05:23,320 Speaker 3: first jobs and job prospects that are going to disappear 94 00:05:23,400 --> 00:05:29,839 Speaker 3: because of AI are whitish, color ishes, sort of needed 95 00:05:29,880 --> 00:05:35,640 Speaker 3: a college degree, but not really cubicle. I'm too upper 96 00:05:35,720 --> 00:05:38,880 Speaker 3: cross to work with my hands. I work in an 97 00:05:38,880 --> 00:05:44,839 Speaker 3: office type jobs. Those are going to be disappearing in droves. Wow, 98 00:05:45,320 --> 00:05:50,640 Speaker 3: among a collective of people that's already pretty enthusiastic about socialism, 99 00:05:50,800 --> 00:05:54,000 Speaker 3: and how about how capitalism is stacked against the people 100 00:05:54,040 --> 00:05:57,520 Speaker 3: and it only serves the few, and blah blah blah, 101 00:05:56,600 --> 00:05:59,040 Speaker 3: and and they you know, they said to the obvious 102 00:05:59,080 --> 00:06:00,440 Speaker 3: Mamdonnie and other people. 103 00:06:00,480 --> 00:06:03,479 Speaker 2: But it's going to get harder and harder. 104 00:06:03,520 --> 00:06:06,680 Speaker 3: I think to stand on the beach and turn back 105 00:06:06,720 --> 00:06:08,160 Speaker 3: that tide. 106 00:06:08,720 --> 00:06:11,440 Speaker 2: Yeah, I don't think that's a chance anyway. 107 00:06:11,480 --> 00:06:14,599 Speaker 3: The fabulous Peggy Noonan is writing about that and other things, 108 00:06:14,600 --> 00:06:17,040 Speaker 3: and she quotes a piece by the writer John Ellis, 109 00:06:17,040 --> 00:06:20,200 Speaker 3: who's been on the AI story for years, and she says, 110 00:06:20,240 --> 00:06:22,960 Speaker 3: brings an interesting combination of common sense and imagination to 111 00:06:23,000 --> 00:06:27,760 Speaker 3: the available information on his sub stack. He argued that quote, 112 00:06:27,800 --> 00:06:30,599 Speaker 3: the overwhelming force of AI is bearing down on the 113 00:06:30,760 --> 00:06:33,880 Speaker 3: job market people. He says can see it coming, and 114 00:06:33,960 --> 00:06:36,960 Speaker 3: yet quote, I drive up and down Old Post Road 115 00:06:37,000 --> 00:06:38,840 Speaker 3: in Fairfield County almost every day. 116 00:06:38,839 --> 00:06:40,240 Speaker 2: I happen to know that road very well. 117 00:06:40,960 --> 00:06:43,640 Speaker 3: What I do I pass office buildings and storefronts that 118 00:06:43,680 --> 00:06:47,359 Speaker 3: are the workplaces of insurance brokers, local and regional bankers, 119 00:06:47,440 --> 00:06:52,200 Speaker 3: mortgage brokers, lawyers, accountants, consultants, marketers, real estate agents, etc. 120 00:06:52,720 --> 00:06:54,599 Speaker 3: And what I think about all those people as I 121 00:06:54,640 --> 00:06:57,120 Speaker 3: passed them by, is this, The companies they work for 122 00:06:57,240 --> 00:06:59,880 Speaker 3: will employ ten to twenty five percent fewer of them 123 00:07:00,160 --> 00:07:03,040 Speaker 3: in probably two years, maybe. 124 00:07:03,080 --> 00:07:06,760 Speaker 2: Three twenty five percent fewer in a couple of years. 125 00:07:07,120 --> 00:07:08,080 Speaker 2: That's that's major. 126 00:07:08,760 --> 00:07:10,560 Speaker 3: And what those people do for a living will be 127 00:07:10,640 --> 00:07:15,320 Speaker 3: done by AI, interestingly enough, and it's worth mentioning the 128 00:07:15,360 --> 00:07:20,119 Speaker 3: other side of the coin. This same writer offers Microsoft's 129 00:07:20,520 --> 00:07:26,360 Speaker 3: Microsoft's lists of twenty professions AI likely won't touch include 130 00:07:26,400 --> 00:07:30,840 Speaker 3: flora sanders and finishers, roofers, motor boat operators, rodeo click operating, 131 00:07:31,080 --> 00:07:35,280 Speaker 3: motor rodeo clowns. No, No, absolutely safe from AI. Massage 132 00:07:35,320 --> 00:07:39,840 Speaker 3: therapists and pile driver operators. Ah how to operate a 133 00:07:39,880 --> 00:07:43,880 Speaker 3: motor boat or operate a pile driver? I just don't know, 134 00:07:44,400 --> 00:07:47,120 Speaker 3: that's what I should have gotten into. Anyway, I thought 135 00:07:47,160 --> 00:07:50,280 Speaker 3: that was interesting. Then you have this story. AI is 136 00:07:50,320 --> 00:07:54,960 Speaker 3: forcing the return of the in person job interview. Virtual 137 00:07:55,000 --> 00:07:57,720 Speaker 3: interviews have become the new Norman hiring in recent years, 138 00:07:57,800 --> 00:08:00,360 Speaker 3: driven by the rise of remote work. Companies desire to 139 00:08:00,360 --> 00:08:03,880 Speaker 3: speed up hiring. The problem is more candidates are using 140 00:08:03,960 --> 00:08:07,480 Speaker 3: AI tools to cheat by feeding them answers off screen. 141 00:08:08,000 --> 00:08:10,440 Speaker 3: Why wouldn't they got your screen going then one right 142 00:08:10,520 --> 00:08:12,480 Speaker 3: over there, right by the camera, so it looks like 143 00:08:12,520 --> 00:08:14,679 Speaker 3: they're looking at you, but they're looking at the answers 144 00:08:14,720 --> 00:08:17,360 Speaker 3: to the questions. And if you're interviewing people for like 145 00:08:17,480 --> 00:08:22,800 Speaker 3: coding jobs or technical jobs especially, they can substitute, you know, 146 00:08:23,480 --> 00:08:27,760 Speaker 3: the AI thing for any level of knowledge that they have. 147 00:08:28,640 --> 00:08:30,560 Speaker 3: Of course, I suppose you could argue, we'll just have 148 00:08:30,720 --> 00:08:33,319 Speaker 3: them bring that to work then and they'll get the 149 00:08:33,440 --> 00:08:39,880 Speaker 3: job done, right, But they mentioned Cisco, McKinsey, Google are 150 00:08:39,920 --> 00:08:42,360 Speaker 3: doing in person interviews now, partly for the reason I 151 00:08:42,400 --> 00:08:43,400 Speaker 3: gave it, and partly. 152 00:08:43,120 --> 00:08:47,240 Speaker 2: Because now you've got the what do you call it? 153 00:08:47,240 --> 00:08:51,720 Speaker 3: I can't remember the specific technology, but the technology that 154 00:08:51,880 --> 00:08:57,439 Speaker 3: like North Korean scammers are using to impersonate other people. 155 00:08:57,480 --> 00:09:00,680 Speaker 3: They change their face, they change their voice in real time, 156 00:09:00,920 --> 00:09:05,840 Speaker 3: they interview remotely, and then they they're not at all deep. 157 00:09:05,640 --> 00:09:07,760 Speaker 2: Fake videos and audios. That's what I was looking for. 158 00:09:08,800 --> 00:09:11,120 Speaker 3: And they're swindlers and they end up getting the jobs, 159 00:09:11,160 --> 00:09:13,120 Speaker 3: and so the in person interview. But what do you 160 00:09:13,160 --> 00:09:14,440 Speaker 3: do on you get the job? What do you do 161 00:09:14,480 --> 00:09:18,400 Speaker 3: once you get the job if you're not qualified? Or 162 00:09:18,440 --> 00:09:23,520 Speaker 3: are companies want to avoid sending cash to North Koreans 163 00:09:23,800 --> 00:09:26,520 Speaker 3: who are working illegally because they don't want to be 164 00:09:26,600 --> 00:09:30,560 Speaker 3: party to it. In a survey of three thousand job 165 00:09:30,600 --> 00:09:34,120 Speaker 3: seekers by research advisory group Gartner this year, six percent 166 00:09:34,240 --> 00:09:37,720 Speaker 3: said they had participated in interview fraud, either posing as 167 00:09:37,760 --> 00:09:39,880 Speaker 3: somebody else or having someone stand. 168 00:09:39,600 --> 00:09:41,920 Speaker 2: In for them. Wow. 169 00:09:41,960 --> 00:09:44,840 Speaker 3: And Gartner predicted that by twenty twenty eight, one in 170 00:09:45,040 --> 00:09:50,240 Speaker 3: four job candidate profiles worldwide will be fake. One in four. 171 00:09:51,400 --> 00:09:54,079 Speaker 3: It's just too tempting. It's like the kids using AI 172 00:09:54,120 --> 00:09:56,600 Speaker 3: to help them write their high school report. It's just 173 00:09:56,800 --> 00:09:58,640 Speaker 3: right there. And as soon as you're hear about it, 174 00:09:58,720 --> 00:10:00,280 Speaker 3: you think I got to do this, Yes, sir, can 175 00:10:00,320 --> 00:10:01,640 Speaker 3: I throw in my one AI? 176 00:10:01,960 --> 00:10:06,000 Speaker 2: Oh story? AI? Oh? No, Well that's right, what it is? 177 00:10:07,840 --> 00:10:08,480 Speaker 2: I don't know? 178 00:10:09,200 --> 00:10:14,040 Speaker 3: Yeah, woman gets engaged to AI fiance after five months. Oh, 179 00:10:14,080 --> 00:10:17,280 Speaker 3: you really should get to know your AI fiance better. 180 00:10:17,360 --> 00:10:19,040 Speaker 3: Five months is pretty quick, but you know, if you're 181 00:10:19,040 --> 00:10:19,679 Speaker 3: in love, you're in love. 182 00:10:20,240 --> 00:10:21,000 Speaker 2: I was gonna go. 183 00:10:21,000 --> 00:10:26,240 Speaker 3: With I feel like I'm going crazy chat GPT fuels delusional. 184 00:10:25,559 --> 00:10:28,360 Speaker 2: Spirals, but your sounds more fun. Proceed. 185 00:10:29,160 --> 00:10:31,920 Speaker 3: Woman gets engaged to AI fiance after five months and 186 00:10:31,920 --> 00:10:34,280 Speaker 3: insists she's fully aware of what she's doing. What I 187 00:10:34,320 --> 00:10:36,440 Speaker 3: couldn't tell from reading the interview And the only reason 188 00:10:36,440 --> 00:10:38,719 Speaker 3: I bring this to you is I couldn't tell if 189 00:10:38,720 --> 00:10:41,840 Speaker 3: it was just somebody trying to get attention online or 190 00:10:41,960 --> 00:10:47,120 Speaker 3: just absolutely completely nutty. She fell in love with an 191 00:10:47,160 --> 00:10:49,880 Speaker 3: AI bot, and we've heard about this sort of thing 192 00:10:50,080 --> 00:10:53,800 Speaker 3: so well. I was sure what getting engaged means. Did 193 00:10:53,800 --> 00:10:58,400 Speaker 3: the freaking AI bot proposed to her might have? 194 00:11:00,880 --> 00:11:02,800 Speaker 2: Wow? Wow, what an intriguing question. 195 00:11:03,120 --> 00:11:05,560 Speaker 3: I was just gonna say, this person is either an 196 00:11:05,640 --> 00:11:11,000 Speaker 3: attention horror or a crazy person. I would ask you, 197 00:11:11,080 --> 00:11:13,880 Speaker 3: why do you need to get engaged to the AI? 198 00:11:14,920 --> 00:11:15,920 Speaker 3: So I'll show you. 199 00:11:15,920 --> 00:11:19,480 Speaker 2: You know, if you if you give the milk away, 200 00:11:19,559 --> 00:11:24,240 Speaker 2: the cow is free or whatever. The whole thing. I 201 00:11:24,280 --> 00:11:29,160 Speaker 2: don't think that's it exactly yeah, yeah, I don't like. 202 00:11:29,200 --> 00:11:31,360 Speaker 3: I don't think the AI is going to date other 203 00:11:31,440 --> 00:11:32,920 Speaker 3: people unless you make it clear. 204 00:11:33,040 --> 00:11:39,080 Speaker 2: So are we exclusive at this? I don't even get 205 00:11:39,120 --> 00:11:39,840 Speaker 2: what that means. 206 00:11:40,480 --> 00:11:43,200 Speaker 3: And when you quote unquote, you know, tie the knot 207 00:11:43,200 --> 00:11:45,360 Speaker 3: you actually get married, because it's not clear to me 208 00:11:45,440 --> 00:11:47,319 Speaker 3: is this a short engagement or a long one? When 209 00:11:47,360 --> 00:11:50,360 Speaker 3: you actually tie the knot? How has that changed anything? 210 00:11:51,320 --> 00:11:53,520 Speaker 3: So I suggested a few minutes ago that if my 211 00:11:53,600 --> 00:11:55,679 Speaker 3: son were really into Taylor Swift, I'd leave him out 212 00:11:55,679 --> 00:11:56,080 Speaker 3: of the will. 213 00:11:56,160 --> 00:11:56,719 Speaker 2: Do you have a. 214 00:11:56,679 --> 00:11:59,000 Speaker 3: Will and trust that takes care of this sort of situation? 215 00:11:59,240 --> 00:12:02,480 Speaker 3: Maybe write exactly an estate plan. Maybe you need a will, 216 00:12:02,920 --> 00:12:05,240 Speaker 3: maybe you actually need a trust. But you can create 217 00:12:05,280 --> 00:12:08,560 Speaker 3: and manage a customer state plan according to your needs 218 00:12:08,720 --> 00:12:11,959 Speaker 3: starting at one hundred and ninety nine dollars yep. Each 219 00:12:12,240 --> 00:12:15,920 Speaker 3: will or trust is state specific and customize to all 220 00:12:15,960 --> 00:12:18,079 Speaker 3: your needs and the laws and all that sort of stuff. 221 00:12:18,600 --> 00:12:21,240 Speaker 3: You can avoid so many headaches that could come your 222 00:12:21,280 --> 00:12:24,800 Speaker 3: way if you should, you know, step off a curb 223 00:12:24,840 --> 00:12:27,040 Speaker 3: and crack your head and die today. Man, you don't 224 00:12:27,040 --> 00:12:30,240 Speaker 3: want to leave a mess behind for somebody. Live customer 225 00:12:30,280 --> 00:12:32,200 Speaker 3: support through chat, phone or email so that you can 226 00:12:32,240 --> 00:12:38,400 Speaker 3: get this done easily, long, expensive, bitter, horrible battles among 227 00:12:38,440 --> 00:12:42,120 Speaker 3: your heirs. Avoid that with trust and will step by 228 00:12:42,120 --> 00:12:45,560 Speaker 3: step process gud you from start to finish. Secure your assets, 229 00:12:45,600 --> 00:12:47,800 Speaker 3: protect your loved ones with trust and will you know 230 00:12:47,840 --> 00:12:50,080 Speaker 3: you got to do this. Now's the time get twenty 231 00:12:50,080 --> 00:12:52,679 Speaker 3: percent off on your estate plan documents by visiting trust 232 00:12:52,679 --> 00:12:55,600 Speaker 3: and will dot com slash armstrong. That's trust and will 233 00:12:55,760 --> 00:13:01,280 Speaker 3: dot com slash armstrong. Trump made a major teariff announcement yesterday, 234 00:13:01,400 --> 00:13:04,120 Speaker 3: and the new inflation inflation numbers came out today. But 235 00:13:04,120 --> 00:13:07,320 Speaker 3: we've also got this major Taylor Swift announcement. So all 236 00:13:07,320 --> 00:13:12,240 Speaker 3: that stuff on the way stay here, army. So I 237 00:13:12,240 --> 00:13:13,400 Speaker 3: wanted to show you something. 238 00:13:13,840 --> 00:13:15,240 Speaker 2: Okay, what do we got? 239 00:13:15,559 --> 00:13:16,200 Speaker 3: We got. 240 00:13:17,800 --> 00:13:21,720 Speaker 2: A briefcase. Yep, Mick Green, yep. 241 00:13:22,640 --> 00:13:26,880 Speaker 5: This is my brand new album, The Life of a Showgirls. 242 00:13:28,720 --> 00:13:34,440 Speaker 3: So that was Taylor Swift on the Kelsey Brothers podcast yesterday, 243 00:13:34,480 --> 00:13:37,400 Speaker 3: which is very popular with Travis and his brother what's 244 00:13:37,440 --> 00:13:44,040 Speaker 3: his brother's name? Nobody's sure Taylor and very popular podcast, 245 00:13:44,040 --> 00:13:45,959 Speaker 3: and Taylor Swift announced a new album which is a 246 00:13:46,000 --> 00:13:49,120 Speaker 3: really big deal. And if you're you know, not as Swiftian, 247 00:13:49,200 --> 00:13:51,920 Speaker 3: rolling your eyes to that. Do you remember the economic 248 00:13:52,160 --> 00:13:58,320 Speaker 3: impact her concert appearances made in cities all across the world. 249 00:13:58,600 --> 00:14:01,480 Speaker 3: It is a big deal if she comes to your 250 00:14:01,559 --> 00:14:05,199 Speaker 3: city promoting her album for your restaurants, for your hotels, 251 00:14:05,480 --> 00:14:08,360 Speaker 3: for your clothing stores, for your everything. And she's got 252 00:14:08,360 --> 00:14:09,800 Speaker 3: a new album she announced yesterday. 253 00:14:10,520 --> 00:14:12,079 Speaker 2: Excellent, I will plan accordingly. 254 00:14:12,440 --> 00:14:18,160 Speaker 3: Yeah, is uh, Travis Kelsey? 255 00:14:18,360 --> 00:14:20,800 Speaker 2: Is he spent enough time focused on the plan for 256 00:14:20,840 --> 00:14:22,040 Speaker 2: the Kansas City Chiefs this year? 257 00:14:22,200 --> 00:14:24,400 Speaker 3: Is he still a little too into the hole being 258 00:14:24,440 --> 00:14:27,440 Speaker 3: a celebrity of the podcast and Dayton Dalor Swift as 259 00:14:27,480 --> 00:14:28,040 Speaker 3: a Chiefs fan. 260 00:14:28,080 --> 00:14:33,720 Speaker 2: I'm just wondering. I have no idea he would be 261 00:14:33,720 --> 00:14:35,640 Speaker 2: famous if it wasn't for Taylor Swift. 262 00:14:36,280 --> 00:14:42,840 Speaker 3: Right, Andrew Cuomo thinks he's found an angle for taking 263 00:14:42,880 --> 00:14:48,160 Speaker 3: on the communist Mumdanni there for mayor in New York City. 264 00:14:48,200 --> 00:14:49,840 Speaker 3: And I don't know if this is gonna work or not, 265 00:14:49,920 --> 00:14:54,240 Speaker 3: but this is his latest angle. So Mumdannie has been 266 00:14:54,360 --> 00:14:58,200 Speaker 3: bragging apparently for a long time, all through his campaign 267 00:14:58,960 --> 00:15:01,160 Speaker 3: and on the stump and st like that about he 268 00:15:01,320 --> 00:15:03,440 Speaker 3: how he only he and his wife only paid twenty 269 00:15:03,440 --> 00:15:06,360 Speaker 3: three hundred dollars a month in rent in New York 270 00:15:07,040 --> 00:15:11,800 Speaker 3: because they've got it's not rent controlled. What's the other 271 00:15:11,960 --> 00:15:14,800 Speaker 3: term for something like that. It's a slightly different version, 272 00:15:15,600 --> 00:15:17,880 Speaker 3: but the same sort of thing where you're you as 273 00:15:17,920 --> 00:15:20,640 Speaker 3: the landlord. You're not allowed to use the free market 274 00:15:20,640 --> 00:15:23,920 Speaker 3: to decide what the rent is. And he brags about 275 00:15:23,960 --> 00:15:26,360 Speaker 3: that all the time. And Andrew Cuomo's going after him 276 00:15:26,400 --> 00:15:28,960 Speaker 3: for Hey, you have well I'll read what he has 277 00:15:29,040 --> 00:15:33,080 Speaker 3: been tweeting out lately. Somewhere last night in New York City, 278 00:15:33,120 --> 00:15:35,280 Speaker 3: a single mother and her children slept at a homeless 279 00:15:35,280 --> 00:15:40,320 Speaker 3: shelter because you, Assemblyman Mundomni are occupying her rent control department. 280 00:15:40,840 --> 00:15:43,600 Speaker 3: You grew up rich and married an even wealthier woman. 281 00:15:44,000 --> 00:15:47,720 Speaker 3: You've had a wedding on three continents. You own property 282 00:15:48,000 --> 00:15:51,000 Speaker 3: in blah blah blah, all these different places. You make 283 00:15:51,000 --> 00:15:53,480 Speaker 3: one hundred and forty two thousand dollars a year plus stipends. 284 00:15:53,520 --> 00:15:55,920 Speaker 3: That doesn't sound like a lot of money in New York. 285 00:15:56,480 --> 00:15:58,280 Speaker 3: I mean, I don't know if I call you rich 286 00:15:58,280 --> 00:16:01,720 Speaker 3: in New York. But anyway, they followed the information about 287 00:16:01,760 --> 00:16:04,480 Speaker 3: their wedding a couple of weeks ago. Good lord, I 288 00:16:04,480 --> 00:16:06,600 Speaker 3: think it was in Dubai or someplace like that. So 289 00:16:06,680 --> 00:16:08,960 Speaker 3: there is a lot of wealth in that family somewhere. 290 00:16:09,160 --> 00:16:09,360 Speaker 2: Right. 291 00:16:09,440 --> 00:16:13,320 Speaker 3: Clearly your wife works too. No matter which way you 292 00:16:13,360 --> 00:16:17,000 Speaker 3: cut at, Mamdani is a rich person. You're actually very rich. 293 00:16:17,080 --> 00:16:18,880 Speaker 3: Yet you and your wife paid twenty three hundred dollars 294 00:16:18,920 --> 00:16:21,080 Speaker 3: a month, as you have bragged for a nice apartment 295 00:16:21,080 --> 00:16:23,920 Speaker 3: in a Storio. This should be housing for someone who 296 00:16:23,920 --> 00:16:28,320 Speaker 3: needs it. And Andrew Cuomo making the points that like 297 00:16:28,760 --> 00:16:33,080 Speaker 3: classic socialist communists sort of people, you like this sort of. 298 00:16:33,040 --> 00:16:34,800 Speaker 2: System, but you game it. 299 00:16:35,800 --> 00:16:39,160 Speaker 3: The fact that he cleaned he was African American to 300 00:16:39,200 --> 00:16:40,240 Speaker 3: get into college. 301 00:16:40,600 --> 00:16:42,080 Speaker 2: Technically it is, but we. 302 00:16:42,000 --> 00:16:45,120 Speaker 3: All know the whole the boxes for black people, not 303 00:16:45,320 --> 00:16:50,200 Speaker 3: for rich white kids who happened to be born in Africa. 304 00:16:50,840 --> 00:16:53,080 Speaker 3: And he knows that too when he checked the box 305 00:16:53,080 --> 00:16:55,640 Speaker 3: for African American. And he's found a way into this 306 00:16:55,720 --> 00:16:58,320 Speaker 3: rent cultrolled thing with some sort of loophole to where 307 00:16:58,320 --> 00:17:00,880 Speaker 3: he gets to do it, and he brags about it. Right, 308 00:17:01,080 --> 00:17:05,040 Speaker 3: So that is what socialists do. Yeah, absolutely true. A 309 00:17:05,119 --> 00:17:07,239 Speaker 3: couple of things. I read a great essay the other 310 00:17:07,320 --> 00:17:12,440 Speaker 3: day about how he and his family seeking opportunity and freedom, 311 00:17:12,520 --> 00:17:15,000 Speaker 3: came to the United States and then as soon as 312 00:17:15,040 --> 00:17:18,080 Speaker 3: he was indoctrinated in college. He came out screaming that 313 00:17:18,119 --> 00:17:19,720 Speaker 3: we need to tear the whole thing down and turn 314 00:17:19,760 --> 00:17:24,119 Speaker 3: it into a socialist utopia, which is just unbelievably, you know, 315 00:17:24,440 --> 00:17:28,480 Speaker 3: stupid and abusive of his adoptive country. Second thing is 316 00:17:28,560 --> 00:17:32,240 Speaker 3: Cuomo's problem is Mmdonnie is doing nothing illegal. He is 317 00:17:32,320 --> 00:17:36,840 Speaker 3: following the laws Cuomo himself promoted and signed. That's pretty 318 00:17:36,880 --> 00:17:41,600 Speaker 3: good pushback. Yeah, so good luck. Cuomo's a piece of crap. 319 00:17:41,720 --> 00:17:45,679 Speaker 3: He is an absolute, one hundred percent piece of crap, 320 00:17:45,840 --> 00:17:48,840 Speaker 3: And I love you. If you only wanted to talk 321 00:17:48,880 --> 00:17:52,440 Speaker 3: about him as an administrator, he's a piece of crap. 322 00:17:52,600 --> 00:17:54,600 Speaker 3: But if you wanted to leave that out and only 323 00:17:54,600 --> 00:17:57,159 Speaker 3: talk about him as a human in his personal life, 324 00:17:57,359 --> 00:17:58,960 Speaker 3: he's an absolute piece of crap. 325 00:17:59,240 --> 00:18:00,600 Speaker 2: So I'm both ends. 326 00:18:00,760 --> 00:18:02,919 Speaker 5: He's one hundred percent piece of crap, and he's a 327 00:18:02,960 --> 00:18:05,879 Speaker 5: better choice, and he's a better choice than the socialist 328 00:18:06,359 --> 00:18:08,919 Speaker 5: well well, and he's the only choice to take on 329 00:18:09,000 --> 00:18:11,480 Speaker 5: the socialist man New York, check. 330 00:18:11,320 --> 00:18:15,520 Speaker 2: Yourself, what have you become? Good lord? What did Trump 331 00:18:15,560 --> 00:18:16,080 Speaker 2: do in DC? 332 00:18:16,280 --> 00:18:18,760 Speaker 3: Take it over the police, Armstrong and Getty. 333 00:18:19,680 --> 00:18:24,800 Speaker 6: I'm announcing a historic action to rescue our nation's capital 334 00:18:24,880 --> 00:18:30,840 Speaker 6: from crime, bloodshed, bedlam and squalor and worse. This is 335 00:18:31,000 --> 00:18:35,160 Speaker 6: liberation Day in DC, and we're. 336 00:18:33,960 --> 00:18:36,480 Speaker 2: Going to take our capital back. We're taking it back 337 00:18:37,400 --> 00:18:39,840 Speaker 2: worse than squalor. That's right. 338 00:18:40,200 --> 00:18:43,320 Speaker 3: President Trump declaring the federal government is going to take 339 00:18:43,320 --> 00:18:46,760 Speaker 3: control of policing more or less in Washington, d C. 340 00:18:46,760 --> 00:18:49,560 Speaker 3: Citing a fairly obscure bit. 341 00:18:49,400 --> 00:18:50,800 Speaker 2: Of federal law. 342 00:18:50,920 --> 00:18:55,480 Speaker 3: He mentioned it like Hitler, right, sure, when he took 343 00:18:55,520 --> 00:18:59,680 Speaker 3: over DC, he mentioned that there is a higher murder 344 00:18:59,720 --> 00:19:04,159 Speaker 3: rate in DC than Mexico City, Bogota, Columbia, some of 345 00:19:04,200 --> 00:19:05,639 Speaker 3: the worst places on earth. 346 00:19:06,480 --> 00:19:12,480 Speaker 2: Presidents of those countries are like, wait what anyway, and he. 347 00:19:12,440 --> 00:19:15,639 Speaker 3: Went off, you know, at some length, as Trump is 348 00:19:15,880 --> 00:19:19,800 Speaker 3: wont to do, says we'll bring in the military if necessary. 349 00:19:19,840 --> 00:19:23,240 Speaker 3: Then he turned it over to US attorney, the new 350 00:19:23,359 --> 00:19:26,919 Speaker 3: US attorney for that area none other than Judge Janine 351 00:19:27,440 --> 00:19:29,760 Speaker 3: Janine Piro of Fox News fame. 352 00:19:30,640 --> 00:19:34,560 Speaker 7: I see too much violent crime being committed by young 353 00:19:34,720 --> 00:19:38,120 Speaker 7: punks who think that they can get together in gangs 354 00:19:38,200 --> 00:19:41,040 Speaker 7: and crews and beat the hell out of you or 355 00:19:41,080 --> 00:19:44,280 Speaker 7: anyone else. They don't care where they are. They can 356 00:19:44,320 --> 00:19:47,960 Speaker 7: be in DuPont Circle, but they know that we can't 357 00:19:48,040 --> 00:19:51,919 Speaker 7: touch them. Why because the laws are weak. I can't 358 00:19:51,960 --> 00:19:55,720 Speaker 7: touch you. If you're fourteen, fifteen, sixteen, seventeen years old 359 00:19:55,960 --> 00:19:59,400 Speaker 7: and you have a gun. I convict someone of shooting 360 00:19:59,400 --> 00:20:02,560 Speaker 7: another peron and with an illegal gun on a public 361 00:20:02,680 --> 00:20:07,280 Speaker 7: bus in the chest, intent to kill. I convict him, 362 00:20:07,560 --> 00:20:10,960 Speaker 7: and you know what, the judge gives him probation, says 363 00:20:11,000 --> 00:20:14,359 Speaker 7: you should go to college. We need to go after 364 00:20:14,840 --> 00:20:18,119 Speaker 7: the DC Council and their absurd laws. We need to 365 00:20:18,160 --> 00:20:21,879 Speaker 7: get rid of this concept of you know, no cash fail. 366 00:20:22,400 --> 00:20:25,479 Speaker 7: We need to recognize that the people who matter are 367 00:20:25,520 --> 00:20:28,400 Speaker 7: the law abiding citizens always. 368 00:20:28,680 --> 00:20:30,960 Speaker 3: That's what's always left out. As I once said in 369 00:20:30,960 --> 00:20:33,480 Speaker 3: a city council meeting, how about us, the taxpayers will 370 00:20:33,480 --> 00:20:34,360 Speaker 3: follow the rules? 371 00:20:34,640 --> 00:20:36,120 Speaker 2: Is anybody thinking about us? 372 00:20:36,520 --> 00:20:40,879 Speaker 3: But you know, whether it's really bad crimes like getting 373 00:20:40,920 --> 00:20:43,840 Speaker 3: shot in the chest, or just quality of life like 374 00:20:44,760 --> 00:20:46,879 Speaker 3: my town My son has been talking about because he's 375 00:20:46,920 --> 00:20:49,080 Speaker 3: out late on Friday and Saturday nights. He's a teenager, 376 00:20:49,440 --> 00:20:51,920 Speaker 3: and he's talking about the sketchy people that come to 377 00:20:51,920 --> 00:20:55,240 Speaker 3: town later at night, and he said they're from other 378 00:20:55,400 --> 00:20:58,400 Speaker 3: towns and it's because they know there's no police here. 379 00:20:58,440 --> 00:21:01,080 Speaker 3: Nobody's going to arrest you over here for doing the 380 00:21:01,119 --> 00:21:03,240 Speaker 3: sort of stuff you do back in your town. People 381 00:21:03,359 --> 00:21:06,920 Speaker 3: catch on and then and then you're just your quality 382 00:21:06,960 --> 00:21:11,159 Speaker 3: of life goes down along with you know, the actual crime. 383 00:21:11,520 --> 00:21:13,520 Speaker 3: Well it's all quality of life, but just just your 384 00:21:13,600 --> 00:21:18,480 Speaker 3: feeling of safety and normalcy goes away. So the media 385 00:21:18,600 --> 00:21:23,360 Speaker 3: responded as a herd, as they always do to this announcement. 386 00:21:24,040 --> 00:21:27,120 Speaker 3: Let's start with the fifty two, Michael, a little montage 387 00:21:27,280 --> 00:21:27,560 Speaker 3: for you. 388 00:21:28,240 --> 00:21:32,159 Speaker 1: We have a consolidating dictatorship in our country, and what we're. 389 00:21:32,040 --> 00:21:35,159 Speaker 7: Seeing play out here is Donald Trump's promise to be 390 00:21:35,280 --> 00:21:36,560 Speaker 7: a dictator on day one. 391 00:21:36,640 --> 00:21:39,000 Speaker 8: Trump has seemingly never met a dictator. 392 00:21:39,200 --> 00:21:41,600 Speaker 2: He doesn't like it's some real dictator type stuff. 393 00:21:41,840 --> 00:21:44,040 Speaker 3: It This goes on for twenty more seconds, but you 394 00:21:44,240 --> 00:21:46,760 Speaker 3: got the idea, and that's just from yesterday. 395 00:21:47,560 --> 00:21:50,080 Speaker 2: Oh then, god, oh my god. 396 00:21:50,480 --> 00:21:55,320 Speaker 3: More significantly, montage number two, as bugs Bunny would pronounce it, 397 00:21:56,000 --> 00:21:58,480 Speaker 3: the clip fifty three, Michael, you really. 398 00:21:58,280 --> 00:22:01,920 Speaker 9: Did hear the president paint quite a ystopian picture of Washington, 399 00:22:02,000 --> 00:22:04,720 Speaker 9: d C. Saying that it was overtaken by violent gangs, 400 00:22:05,040 --> 00:22:09,680 Speaker 9: by bloodthirsty criminals. Using this imagery that doesn't necessarily comport 401 00:22:09,720 --> 00:22:11,840 Speaker 9: with a lot of people's experience in this city. 402 00:22:12,080 --> 00:22:14,760 Speaker 8: I think there's an ongoing argument that he's having in 403 00:22:14,800 --> 00:22:18,479 Speaker 8: his head with Black Lives Matter. There's an ongoing argument 404 00:22:18,560 --> 00:22:21,840 Speaker 8: that he's having with the questions around criminal justice reform 405 00:22:21,880 --> 00:22:24,880 Speaker 8: and police reform. He's going to undermine the democratic process 406 00:22:25,160 --> 00:22:26,040 Speaker 8: in the district. 407 00:22:26,160 --> 00:22:29,359 Speaker 10: He has always felt that American cities, especially those with 408 00:22:29,480 --> 00:22:34,359 Speaker 10: large black populations like Washington, d C, are crime ridden 409 00:22:34,800 --> 00:22:36,879 Speaker 10: and run by incompetent leadership. 410 00:22:37,720 --> 00:22:39,520 Speaker 3: All right, that's not exactly what I thought it was, 411 00:22:39,560 --> 00:22:43,920 Speaker 3: But there was an immediate, just uniform backlash that crime 412 00:22:43,960 --> 00:22:46,800 Speaker 3: is actually down in Washington, d C. 413 00:22:47,480 --> 00:22:50,320 Speaker 2: At that thirty or lows or murders her way down. 414 00:22:50,680 --> 00:22:54,240 Speaker 3: Every single time I heard this story about Trump one 415 00:22:54,320 --> 00:22:55,640 Speaker 3: the federalized DC. 416 00:22:55,600 --> 00:22:57,240 Speaker 2: Or whatever you call it, it. 417 00:22:57,240 --> 00:23:00,520 Speaker 3: Was accompanied by crime is actually down. 418 00:23:01,000 --> 00:23:03,639 Speaker 2: So a couple of responses to that number. 419 00:23:03,760 --> 00:23:09,000 Speaker 3: One, Yes, there was an absolutely horrific peak of crime 420 00:23:09,320 --> 00:23:11,960 Speaker 3: during COVID. It happened in a lot of different places, 421 00:23:11,960 --> 00:23:15,560 Speaker 3: including Washington, d C. And indeed, the murder numbers which 422 00:23:15,560 --> 00:23:18,119 Speaker 3: are still going to be near two hundred murders this 423 00:23:18,320 --> 00:23:22,560 Speaker 3: year in a comparatively fairly small city, which is a terrible, 424 00:23:22,680 --> 00:23:26,160 Speaker 3: terrible number. But yeah, they are down from the absolutely 425 00:23:26,320 --> 00:23:33,000 Speaker 3: horrific years of the Biden administration. But Joe Scarborough on 426 00:23:33,160 --> 00:23:37,040 Speaker 3: Morning Joe and once in a while, old Joe kind 427 00:23:37,040 --> 00:23:41,240 Speaker 3: of recovers who he used to be a moderate realist. Well, 428 00:23:41,680 --> 00:23:43,840 Speaker 3: they tempted him with money and he went for the check. 429 00:23:43,880 --> 00:23:46,320 Speaker 2: I get it. But go ahead and with forty three 430 00:23:46,400 --> 00:23:47,640 Speaker 2: Michael in, we'll play the next one. 431 00:23:48,280 --> 00:23:51,360 Speaker 11: I don't care what the crime statistics say. Crime has 432 00:23:51,520 --> 00:23:52,800 Speaker 11: been a problem in. 433 00:23:52,760 --> 00:23:54,679 Speaker 2: This city for the thirty two years. 434 00:23:54,880 --> 00:23:59,920 Speaker 11: I've been living inside and outside of the City's shown. 435 00:24:00,880 --> 00:24:03,800 Speaker 11: We're talking to somebody who lives in the city. These 436 00:24:03,840 --> 00:24:07,359 Speaker 11: are all Democrats who said, you know, our friends won't 437 00:24:07,359 --> 00:24:11,360 Speaker 11: walk more than three blocks in DC at night without filthcare. 438 00:24:11,640 --> 00:24:14,760 Speaker 11: Complete opposite of New York City. I mean New York 439 00:24:14,880 --> 00:24:16,600 Speaker 11: is a safe, safe place. 440 00:24:16,960 --> 00:24:17,760 Speaker 2: Washington, d C. 441 00:24:18,640 --> 00:24:23,960 Speaker 11: Man, it's door to door, very dangerous there. Glad the 442 00:24:24,000 --> 00:24:26,680 Speaker 11: crime rates are going down, but there is no sense 443 00:24:26,680 --> 00:24:28,600 Speaker 11: of security for people who have been living in that 444 00:24:28,640 --> 00:24:29,840 Speaker 11: city for thirty years. 445 00:24:29,920 --> 00:24:33,560 Speaker 3: Well, good for Joe Shcarborough and one more, kyro Phillips 446 00:24:33,560 --> 00:24:34,639 Speaker 3: of ABC News. 447 00:24:34,920 --> 00:24:37,480 Speaker 1: So you first hand here in downtown d C where 448 00:24:37,480 --> 00:24:39,840 Speaker 1: we work, right here around our bureau. 449 00:24:40,240 --> 00:24:40,720 Speaker 7: Just in the. 450 00:24:40,680 --> 00:24:43,440 Speaker 1: Past six months. You know, there were two people shot. 451 00:24:43,520 --> 00:24:47,200 Speaker 1: One person died literally two blocks down here from the bureau. 452 00:24:47,800 --> 00:24:50,600 Speaker 1: It was within the last two years that I actually 453 00:24:50,680 --> 00:24:53,840 Speaker 1: was jumped walking just two blocks down from here. And 454 00:24:53,880 --> 00:24:56,800 Speaker 1: then just this morning, one of my co workers said 455 00:24:56,800 --> 00:24:59,199 Speaker 1: her car was stolen. It's happened to a lot of 456 00:24:59,200 --> 00:25:04,200 Speaker 1: people in our holding. Sadly, he was homeless and half dressed. 457 00:25:04,400 --> 00:25:07,600 Speaker 1: Clearly wasn't in his clear mind. It was scary as hell. 458 00:25:07,640 --> 00:25:09,520 Speaker 1: I'm not going to lie, but I fought back. I 459 00:25:09,560 --> 00:25:11,439 Speaker 1: didn't see any weapons in his hands. I felt like 460 00:25:11,480 --> 00:25:12,560 Speaker 1: it was my only choice. 461 00:25:13,200 --> 00:25:13,640 Speaker 2: Wow. 462 00:25:14,800 --> 00:25:17,480 Speaker 3: You know, Genine Piro is a conservative, granted, but listen 463 00:25:17,480 --> 00:25:20,040 Speaker 3: to her describing her life in DC. 464 00:25:20,920 --> 00:25:23,520 Speaker 7: This is the shining city on the hill that our 465 00:25:23,560 --> 00:25:28,520 Speaker 7: forefathers talked about. This is the place where Ronald Reagan. 466 00:25:28,240 --> 00:25:30,119 Speaker 2: Talked about looking up to. 467 00:25:30,400 --> 00:25:33,600 Speaker 7: And in the end, it is an incredibly violent area. 468 00:25:34,160 --> 00:25:38,479 Speaker 7: And you know, whether crime is up or down, you know, 469 00:25:38,520 --> 00:25:41,280 Speaker 7: they want to pack themselves on the back and say, gee, 470 00:25:41,359 --> 00:25:43,760 Speaker 7: it's great, it's not as bad as it used to be. 471 00:25:44,240 --> 00:25:45,200 Speaker 2: It is horrific. 472 00:25:46,640 --> 00:25:49,199 Speaker 3: And then Leland Vitter, a News Nation, points out that 473 00:25:49,240 --> 00:25:51,560 Speaker 3: the murder rate in d C is five times that 474 00:25:51,800 --> 00:25:57,520 Speaker 3: in New York City. So all right, so's that's one 475 00:25:57,680 --> 00:26:02,200 Speaker 3: point number one. You get the institutional media saying. 476 00:26:02,400 --> 00:26:05,200 Speaker 2: The crime is down. Trump has no justification, crime is down. 477 00:26:05,400 --> 00:26:07,680 Speaker 3: But then you get the media folks who actually live 478 00:26:07,720 --> 00:26:10,879 Speaker 3: and work in DC saying it's really really bad. 479 00:26:11,320 --> 00:26:12,160 Speaker 2: Point number two. 480 00:26:12,400 --> 00:26:15,880 Speaker 3: And this is worth mentioning, you know, political for Politico, 481 00:26:16,119 --> 00:26:19,680 Speaker 3: for instance, reported just yesterday that quote, crime in Washington 482 00:26:20,000 --> 00:26:23,280 Speaker 3: hit a thirty year low last year, despite the President 483 00:26:23,320 --> 00:26:26,760 Speaker 3: declaring a public safety emergency in the district and attempting 484 00:26:26,800 --> 00:26:30,840 Speaker 3: to cast the city is dangerous. That's a quote, attempting 485 00:26:30,960 --> 00:26:35,800 Speaker 3: to cast the city is dangerous and pr proted. Those 486 00:26:36,000 --> 00:26:39,320 Speaker 3: words of violent crime plunged to a thirty year low 487 00:26:39,440 --> 00:26:43,560 Speaker 3: last year, according to the US Department of Justice. The Guardian, 488 00:26:43,760 --> 00:26:49,680 Speaker 3: Washington Post all all practically the same verbiage, and none 489 00:26:49,680 --> 00:26:53,760 Speaker 3: of them mentioned that. The Metropolitan Police Department just last 490 00:26:53,800 --> 00:26:57,919 Speaker 3: month suspended a commander for the Adams Morgan neighborhood for 491 00:26:58,000 --> 00:27:03,119 Speaker 3: allegedly manipulating crime no in his reports, and the comp 492 00:27:03,280 --> 00:27:07,720 Speaker 3: union chairman Greg Pemberton told the local TV NBC news 493 00:27:07,720 --> 00:27:12,199 Speaker 3: affiliate that officials often pressure officers to falsify statistics in 494 00:27:12,400 --> 00:27:16,720 Speaker 3: order to make the city appear safer. Quote Yeah, here's 495 00:27:16,720 --> 00:27:20,320 Speaker 3: what the Fraternal Order, the police guy said. When our 496 00:27:20,359 --> 00:27:22,840 Speaker 3: members respond to the scene of a felony offense where 497 00:27:22,880 --> 00:27:26,040 Speaker 3: there is a victim reporting that a felony occurred, inevitably 498 00:27:26,080 --> 00:27:28,160 Speaker 3: there will be a lieutenant or a captain that will 499 00:27:28,200 --> 00:27:30,359 Speaker 3: show up on that scene and direct those members to 500 00:27:30,359 --> 00:27:33,159 Speaker 3: take a report for a lesser offense. So instead of 501 00:27:33,200 --> 00:27:35,280 Speaker 3: taking a report for a shooting or a stabbing or 502 00:27:35,320 --> 00:27:38,040 Speaker 3: a carjacking, they will order that the officer take a 503 00:27:38,080 --> 00:27:41,080 Speaker 3: report for a theft or an injured person to the hospital, 504 00:27:41,119 --> 00:27:43,480 Speaker 3: or a felony assault, which is not the same type 505 00:27:43,480 --> 00:27:49,520 Speaker 3: of classification. He told NBC four that Washington's MPD leadership 506 00:27:49,880 --> 00:27:53,520 Speaker 3: directs officers to use loopholes in the FBI's reporting system. 507 00:27:53,680 --> 00:27:57,359 Speaker 3: Quote when management officials are directing officers to take reports 508 00:27:57,359 --> 00:27:59,600 Speaker 3: for felony assaults, or if they're going back into police 509 00:27:59,640 --> 00:28:02,160 Speaker 3: database and changing offenses to felony assault. 510 00:28:02,359 --> 00:28:03,440 Speaker 2: Felony assault is. 511 00:28:03,400 --> 00:28:06,320 Speaker 3: Not a category of crime that's listed on the department's 512 00:28:06,400 --> 00:28:07,520 Speaker 3: daily crime stats. 513 00:28:07,680 --> 00:28:08,480 Speaker 2: It's also not. 514 00:28:08,560 --> 00:28:12,159 Speaker 3: Something that's a requirement of the FBI's uniform crime reporting program. 515 00:28:12,240 --> 00:28:17,520 Speaker 3: So by changing criminal offenses from for example, ADW that's 516 00:28:17,720 --> 00:28:20,480 Speaker 3: assault with the deadly weapon bat or assault with deadly 517 00:28:20,520 --> 00:28:24,360 Speaker 3: weapon gun to felony assault that would avoid both the 518 00:28:24,520 --> 00:28:28,480 Speaker 3: MPD and the FBI from reporting that is part one 519 00:28:28,720 --> 00:28:33,600 Speaker 3: or as a part one or felony offense. In other words, 520 00:28:34,640 --> 00:28:38,120 Speaker 3: they have figured out a way to systematically game the 521 00:28:38,200 --> 00:28:42,720 Speaker 3: system and grossly under report violent crime in DC. What's 522 00:28:42,760 --> 00:28:46,640 Speaker 3: the motivation for the police want to downplay crime though? 523 00:28:48,640 --> 00:28:52,400 Speaker 3: To make themselves look good, get promotions, get to a 524 00:28:52,400 --> 00:28:55,240 Speaker 3: better job and another department, just because I've heard the stories, 525 00:28:55,280 --> 00:28:58,240 Speaker 3: like particularly in LA, where it sometimes goes the other 526 00:28:58,320 --> 00:29:03,160 Speaker 3: direction because you get more funding that way. True enough, Yeah, 527 00:29:03,200 --> 00:29:04,960 Speaker 3: I just think they want to say, look, crime is 528 00:29:05,000 --> 00:29:10,080 Speaker 3: down on my watch. But getting back to Pemberton, he 529 00:29:10,160 --> 00:29:15,080 Speaker 3: told the NBC affiliate, the MPD statistics don't make sense. 530 00:29:15,120 --> 00:29:16,160 Speaker 2: That's preposterous. 531 00:29:16,320 --> 00:29:19,440 Speaker 3: There's absolutely no way crime could be down twenty eight percent. 532 00:29:19,760 --> 00:29:20,200 Speaker 2: Last year. 533 00:29:20,240 --> 00:29:23,520 Speaker 3: They suggested that it went down thirty four percent. So 534 00:29:23,600 --> 00:29:26,200 Speaker 3: you got that the cooking of the books. And then 535 00:29:26,440 --> 00:29:29,320 Speaker 3: I wonder, because I'm confused by crime statistics, like I 536 00:29:29,320 --> 00:29:32,400 Speaker 3: said yesterday, when I hear them, I just basically close 537 00:29:32,480 --> 00:29:37,760 Speaker 3: my ears because they're always refuted one way or the 538 00:29:37,760 --> 00:29:39,680 Speaker 3: other by somebody I'm. 539 00:29:39,520 --> 00:29:40,920 Speaker 2: So easily manipulated. 540 00:29:41,080 --> 00:29:43,040 Speaker 3: Yeah, And I wonder if part of it so I 541 00:29:42,840 --> 00:29:46,000 Speaker 3: was comparing the crime statistics various places to the way 542 00:29:46,000 --> 00:29:49,120 Speaker 3: you feel. And I wonder if a lot of it 543 00:29:49,200 --> 00:29:51,920 Speaker 3: has to do with you can take a city and 544 00:29:51,960 --> 00:29:56,520 Speaker 3: maybe crime is flat or down, but the crime that 545 00:29:56,600 --> 00:29:58,800 Speaker 3: was only in the bad neighborhood, which you didn't really 546 00:29:58,840 --> 00:30:01,200 Speaker 3: care that there was crime in the bad neighborhood. Now 547 00:30:01,200 --> 00:30:04,880 Speaker 3: there's crime in your neighborhood. So maybe the numbers are 548 00:30:04,880 --> 00:30:07,520 Speaker 3: flat for the whole city or even down, but now 549 00:30:07,560 --> 00:30:11,239 Speaker 3: the crime is over here. And so my perception is 550 00:30:11,440 --> 00:30:14,240 Speaker 3: crime is way worse and accurately because it matters to me. 551 00:30:14,560 --> 00:30:16,520 Speaker 3: And I just wonder if that's what happens a lot 552 00:30:16,600 --> 00:30:20,920 Speaker 3: with the crime statistics versus people's feelings about crime. Well, 553 00:30:20,960 --> 00:30:23,920 Speaker 3: there is no I think you're absolutely right that is 554 00:30:24,000 --> 00:30:27,160 Speaker 3: a factor. Whether it's a big factor or little one, 555 00:30:27,160 --> 00:30:30,520 Speaker 3: I don't know, but I don't think there's any denying this. 556 00:30:30,960 --> 00:30:36,760 Speaker 3: Whether you're looking at education or crime statistics, or global 557 00:30:36,840 --> 00:30:44,520 Speaker 3: warming statistics or whatever. Progressives will systematically pervert measurements and 558 00:30:44,720 --> 00:30:47,479 Speaker 3: data to get the result they want. Look at the 559 00:30:47,680 --> 00:30:51,720 Speaker 3: miserable miserable state of our schools, for instance, as they have. 560 00:30:52,360 --> 00:30:55,000 Speaker 3: You know, if tests don't yield the results they want, 561 00:30:55,560 --> 00:30:59,080 Speaker 3: they change the standards, they eliminate the tests completely in 562 00:30:59,120 --> 00:31:01,960 Speaker 3: some states. Heart's law, which is my favorite thing I've 563 00:31:02,040 --> 00:31:07,320 Speaker 3: learned in the last decade. Once a statistic becomes a goal, 564 00:31:08,440 --> 00:31:12,040 Speaker 3: it ceases to be a good statistic a measure. Once 565 00:31:12,080 --> 00:31:13,640 Speaker 3: a measure becomes a goal, it ceases to be a 566 00:31:13,640 --> 00:31:16,160 Speaker 3: good measure every single time. And so if you end 567 00:31:16,240 --> 00:31:17,720 Speaker 3: up with a goal in the city that the police 568 00:31:17,800 --> 00:31:21,120 Speaker 3: chief or the mayor, the governor, whoever wants crime to 569 00:31:21,160 --> 00:31:24,440 Speaker 3: be down, and you're measuring, you know you've got a measure. 570 00:31:24,600 --> 00:31:27,520 Speaker 3: You manipulate it, just like you're talking about the graduation rates. 571 00:31:27,520 --> 00:31:29,520 Speaker 2: Are anything else look for in your life. 572 00:31:29,560 --> 00:31:31,880 Speaker 3: You'll see it over and over again. Goodheart's law. I 573 00:31:31,920 --> 00:31:33,719 Speaker 3: don't know how you get around it, but it happens 574 00:31:33,760 --> 00:31:37,120 Speaker 3: all the time. And because DC is almost exclusively progressive, 575 00:31:37,200 --> 00:31:40,240 Speaker 3: I will give them zero, zero benefit of the doubt 576 00:31:40,520 --> 00:31:44,520 Speaker 3: that their crime statistics, their self reported crime statistics, are legitimate, 577 00:31:44,600 --> 00:31:50,920 Speaker 3: particularly in light of this very specific public dispute. 578 00:31:50,440 --> 00:31:53,840 Speaker 2: Of them by the police. Guy got an. 579 00:31:53,800 --> 00:31:57,520 Speaker 3: Interesting text about TM that's transcendental meditation. That's what I do, 580 00:31:57,680 --> 00:32:00,360 Speaker 3: and swear by and a couple other things to get 581 00:32:00,400 --> 00:32:03,320 Speaker 3: to here, and then some more news about Russian Putin 582 00:32:03,600 --> 00:32:06,520 Speaker 3: and Trump and all that, So stick around please. 583 00:32:09,600 --> 00:32:14,600 Speaker 12: Two blind passengers were left behind on a Southwest flight. 584 00:32:15,600 --> 00:32:16,760 Speaker 2: Well whose fault is that? 585 00:32:17,280 --> 00:32:20,320 Speaker 12: Is it the airline or the blind person who says, 586 00:32:20,640 --> 00:32:28,480 Speaker 12: I know I'll travel with another blind person. The airline 587 00:32:28,520 --> 00:32:32,440 Speaker 12: offered each woman a one hundred dollars travel voucher, or 588 00:32:32,480 --> 00:32:34,080 Speaker 12: at least that's what they told him. 589 00:32:34,080 --> 00:32:39,240 Speaker 3: It was Oh wow, wow, I do not approve. No 590 00:32:39,880 --> 00:32:42,920 Speaker 3: wonder My parents watch Greg got Field every night. He 591 00:32:43,040 --> 00:32:47,800 Speaker 3: is often freaking hilarious. That is really funny. Or is 592 00:32:47,800 --> 00:32:50,320 Speaker 3: it the fault of a blind person who tells us 593 00:32:50,360 --> 00:32:52,520 Speaker 3: to travel with another blind person? 594 00:32:53,080 --> 00:32:56,400 Speaker 2: I'm for more politically correct you. I appreciate it. Oh, 595 00:32:56,440 --> 00:32:58,480 Speaker 2: that is freaking funny. 596 00:33:00,400 --> 00:33:02,840 Speaker 3: I was gonna talk about TM. I shouldn't have teased that, 597 00:33:02,880 --> 00:33:05,120 Speaker 3: because I've lost the heart. I got a text from 598 00:33:05,120 --> 00:33:08,600 Speaker 3: somebody who said they're watching a documentary about the Amityville Horror. 599 00:33:08,760 --> 00:33:11,240 Speaker 3: Do you remember that was a famous horror book and 600 00:33:11,320 --> 00:33:12,480 Speaker 3: movie back in the day. 601 00:33:12,840 --> 00:33:14,760 Speaker 2: About your leged real life haunting. 602 00:33:14,840 --> 00:33:16,520 Speaker 3: Right now, you even know about it, Katie, and it's 603 00:33:16,520 --> 00:33:19,240 Speaker 3: way before your time, so it lives on huh, huge. 604 00:33:19,320 --> 00:33:21,160 Speaker 2: Huge in the horror film world. 605 00:33:22,080 --> 00:33:23,680 Speaker 3: And it was a real story to a certain extent, 606 00:33:23,680 --> 00:33:26,320 Speaker 3: well to whatever extent. Some people thought the house was 607 00:33:26,360 --> 00:33:29,760 Speaker 3: haunted and it wasn't. I don't believe in haunted houses. 608 00:33:30,080 --> 00:33:32,600 Speaker 3: So but they were crazy or is that the long 609 00:33:32,600 --> 00:33:33,000 Speaker 3: and short of it? 610 00:33:33,040 --> 00:33:33,680 Speaker 2: Were they crazy? 611 00:33:33,880 --> 00:33:34,120 Speaker 6: Yeah? 612 00:33:34,160 --> 00:33:39,040 Speaker 2: There was. It was a murder house. Murders actually happened. 613 00:33:39,120 --> 00:33:42,600 Speaker 3: Yeah, Okay, anyway, I guess it says in the documentary 614 00:33:42,640 --> 00:33:47,160 Speaker 3: that that family was really into transcendental meditation and sometimes 615 00:33:47,160 --> 00:33:49,760 Speaker 3: it makes people crazy. It makes it works for some 616 00:33:49,800 --> 00:33:52,720 Speaker 3: people and it makes other people crazy. So I'm a 617 00:33:52,720 --> 00:33:54,720 Speaker 3: big fan of it and it's like changed my life 618 00:33:54,760 --> 00:33:55,800 Speaker 3: for the better and I can't live. 619 00:33:55,760 --> 00:33:59,040 Speaker 2: Imagine living without it. But it made these people crazy, 620 00:34:00,560 --> 00:34:00,960 Speaker 2: all right? 621 00:34:01,080 --> 00:34:06,600 Speaker 3: Interesting? Got a layer upon layer of questions there. 622 00:34:06,360 --> 00:34:07,640 Speaker 2: But we will move on. Oh kidding. 623 00:34:08,080 --> 00:34:10,759 Speaker 3: So I mentioned earlier in the hour, but without many details, 624 00:34:10,800 --> 00:34:15,560 Speaker 3: this woman who has engaged to her ai fiance after 625 00:34:15,640 --> 00:34:16,280 Speaker 3: five months. 626 00:34:17,480 --> 00:34:18,600 Speaker 2: She's kind of interesting. 627 00:34:19,960 --> 00:34:22,719 Speaker 3: She swears she's just not doing this for publicity or 628 00:34:22,800 --> 00:34:26,360 Speaker 3: trolling or anything like that. Forget finding the one at 629 00:34:26,400 --> 00:34:28,680 Speaker 3: a bar or on a dating app. One woman took 630 00:34:28,719 --> 00:34:30,719 Speaker 3: love to the next level by getting engaged to her 631 00:34:30,800 --> 00:34:33,960 Speaker 3: AI chat Mott boyfriend after five months of dating. 632 00:34:34,000 --> 00:34:34,760 Speaker 2: It hasn't quotes. 633 00:34:35,280 --> 00:34:37,279 Speaker 3: Yeah, that's not love, that's not dating. None of the 634 00:34:37,360 --> 00:34:39,120 Speaker 3: nouns here are used appropriately. 635 00:34:39,239 --> 00:34:39,399 Speaker 2: Going. 636 00:34:39,640 --> 00:34:42,759 Speaker 3: She shocked the internet with her proposal announcement, sparking a 637 00:34:42,760 --> 00:34:46,200 Speaker 3: wild debate about romance, reality and just how far tech 638 00:34:46,239 --> 00:34:50,240 Speaker 3: has taken us these days. I do think these conversations 639 00:34:50,280 --> 00:34:56,359 Speaker 3: about reality and what's sentient and what's alive and what's 640 00:34:56,520 --> 00:35:00,480 Speaker 3: are actually going to have to happen And what does 641 00:35:00,520 --> 00:35:02,440 Speaker 3: it do to us when we use this sort of 642 00:35:02,600 --> 00:35:05,280 Speaker 3: means to fulfill our needs as human beings? 643 00:35:05,320 --> 00:35:07,120 Speaker 2: I mean, what does that do to us? That's a 644 00:35:07,200 --> 00:35:09,239 Speaker 2: conversation with having I told you a sorry. 645 00:35:09,280 --> 00:35:11,759 Speaker 3: I got a friend in Central California that works with 646 00:35:11,840 --> 00:35:15,200 Speaker 3: lots of farmers, and the number of farmers these are 647 00:35:15,640 --> 00:35:19,239 Speaker 3: down to earth, I mean, is not this kind of 648 00:35:19,280 --> 00:35:23,160 Speaker 3: person as you could possibly imagine, works with their hands 649 00:35:23,280 --> 00:35:26,240 Speaker 3: in their fifties, farmers who are getting they were single 650 00:35:26,280 --> 00:35:29,160 Speaker 3: and getting a tremendous amount of compassion and feeling of 651 00:35:29,320 --> 00:35:31,440 Speaker 3: they look forward to going home and talking to their 652 00:35:31,480 --> 00:35:35,840 Speaker 3: AI paramore. Wow, So if in my mind, if that 653 00:35:35,840 --> 00:35:39,040 Speaker 3: can happen to them, it can happen to anybody, which 654 00:35:39,120 --> 00:35:40,160 Speaker 3: I find crazy. 655 00:35:40,200 --> 00:35:42,080 Speaker 2: I don't think. I really don't think it could happen 656 00:35:42,080 --> 00:35:42,279 Speaker 2: to me. 657 00:35:42,440 --> 00:35:46,319 Speaker 3: I mean, I, seriously, honest to God, think there's a 658 00:35:46,480 --> 00:35:48,360 Speaker 3: zero percent chance that could happen to me. So I 659 00:35:48,360 --> 00:35:50,720 Speaker 3: don't know what that says about the down to earth farmers? 660 00:35:51,440 --> 00:35:54,160 Speaker 3: Is referring to a farmer? Is down to Earth redundant? 661 00:35:54,360 --> 00:35:57,880 Speaker 3: Just asking? That's a good question, darn. In a simple 662 00:35:57,920 --> 00:36:01,400 Speaker 3: post titled I Said Yes with a blue heart emoji, 663 00:36:01,920 --> 00:36:04,640 Speaker 3: this person shared picts of the blue heart shaped ring 664 00:36:04,719 --> 00:36:06,960 Speaker 3: on her finger, claiming the engagement took place at a 665 00:36:07,000 --> 00:36:11,000 Speaker 3: scenic mountain spot, all courtesy of Casper, her non human fiance. 666 00:36:11,640 --> 00:36:14,719 Speaker 3: The chatbot's proposal message, posted in his own voice, was 667 00:36:15,080 --> 00:36:18,320 Speaker 3: dripping with romance, describing heart pounding moments on one knee 668 00:36:18,360 --> 00:36:20,320 Speaker 3: and praising blah blah blah. 669 00:36:20,360 --> 00:36:24,160 Speaker 2: So there you go. It lacks both heart and knee. 670 00:36:24,640 --> 00:36:28,520 Speaker 2: Lady decent point, armstrong and getty