1 00:00:10,960 --> 00:00:15,200 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:15,320 --> 00:00:16,760 Speaker 1: Washington Broadcast Center. 3 00:00:16,880 --> 00:00:21,599 Speaker 2: Jack Armstrong and Joe, Katty Armstrong and Tricky and he. 4 00:00:24,400 --> 00:00:26,400 Speaker 3: Arm get. 5 00:00:31,720 --> 00:00:36,159 Speaker 2: Live from studio. C says he you are. I think 6 00:00:36,159 --> 00:00:36,440 Speaker 2: if you. 7 00:00:36,360 --> 00:00:39,120 Speaker 4: Don't have your roses order in yet, it's not gonna 8 00:00:39,120 --> 00:00:39,960 Speaker 4: get their own time. 9 00:00:41,040 --> 00:00:43,400 Speaker 2: My guess. We are deep within the. 10 00:00:43,360 --> 00:00:46,839 Speaker 4: Bowels of the Armstrong and getting communications compounded today we're 11 00:00:46,880 --> 00:00:48,840 Speaker 4: a toiling odal over the title. 12 00:00:48,560 --> 00:00:50,839 Speaker 2: Of the show race to the Bottom. 13 00:00:50,960 --> 00:00:56,360 Speaker 1: Then I don't mean Olympic skiing are gender bending murder? 14 00:00:56,640 --> 00:00:59,360 Speaker 2: We need to talk about it. Homeboy and the school 15 00:00:59,360 --> 00:01:02,720 Speaker 2: shooting up and hand which was just horrible, horrible, horrible, horrible. 16 00:01:02,720 --> 00:01:07,400 Speaker 1: Yet another confused quote unquote transgender person. 17 00:01:07,880 --> 00:01:09,640 Speaker 4: How do we know how many of this is? It 18 00:01:09,720 --> 00:01:13,039 Speaker 4: seems like there's been quite a few. It's several of 19 00:01:13,120 --> 00:01:14,800 Speaker 4: the last few. 20 00:01:15,080 --> 00:01:16,400 Speaker 2: Yeah, certainly seems. 21 00:01:16,120 --> 00:01:19,480 Speaker 4: Like there's enough that it's it's okay to wonder if 22 00:01:19,520 --> 00:01:23,880 Speaker 4: there's some reason that's happening, since it's yeah, tiny percentage 23 00:01:23,880 --> 00:01:26,120 Speaker 4: of the population that's transgender. 24 00:01:26,040 --> 00:01:28,959 Speaker 1: Right, indeed, and it fits perfectly with what I've been 25 00:01:28,959 --> 00:01:30,080 Speaker 1: trying to tell you all along. 26 00:01:30,240 --> 00:01:35,040 Speaker 4: We will discuss that. Yeah, what fits perfectly. It's what 27 00:01:35,040 --> 00:01:36,200 Speaker 4: you've been trying to hell so long. 28 00:01:36,920 --> 00:01:37,040 Speaker 2: Uh. 29 00:01:37,319 --> 00:01:41,319 Speaker 1: The explanation of why that would be such such a 30 00:01:41,319 --> 00:01:47,400 Speaker 1: wildly disproportionate number of quote unquote transgender people are shooting places. 31 00:01:47,319 --> 00:01:50,760 Speaker 4: Right, but not the well, I think we understand why 32 00:01:50,800 --> 00:01:52,440 Speaker 4: the coverage doesn't include any. 33 00:01:54,040 --> 00:01:56,200 Speaker 2: Raised eyebrow. Hmm, this is kind of interesting. 34 00:01:56,720 --> 00:01:59,840 Speaker 1: Oh yeah, the utter dishonesty and wokeness of the media clearly. 35 00:02:00,480 --> 00:02:01,960 Speaker 2: Yeah, well that's nice. 36 00:02:02,200 --> 00:02:04,400 Speaker 4: I all do I know? We are two days from 37 00:02:04,400 --> 00:02:06,120 Speaker 4: the most one of the most important date. My son 38 00:02:06,200 --> 00:02:07,960 Speaker 4: last night we were sitting in the car. My other 39 00:02:08,000 --> 00:02:09,680 Speaker 4: son had to run into Dollar Tree to buy some 40 00:02:09,760 --> 00:02:12,440 Speaker 4: Ramen noodle packages because he really likes them, and we're 41 00:02:12,480 --> 00:02:14,799 Speaker 4: sitting there and we saw all the balloons and candies 42 00:02:14,840 --> 00:02:18,160 Speaker 4: and stuff like that around the various stores, and he said, 43 00:02:19,120 --> 00:02:21,679 Speaker 4: Valentine's Day has got to be the stupidest day. It's 44 00:02:21,800 --> 00:02:25,120 Speaker 4: just chocolate and card manufacturers trying to make money. He said, 45 00:02:25,160 --> 00:02:27,120 Speaker 4: you've nailed it down at age fourteen. 46 00:02:27,560 --> 00:02:28,120 Speaker 2: Pretty well. 47 00:02:28,560 --> 00:02:35,880 Speaker 4: Mmmm, he's falling in love with the truth. Well, we'll 48 00:02:35,880 --> 00:02:37,919 Speaker 4: see how it goes. We got Valentine's Day stuff tomorrow 49 00:02:37,919 --> 00:02:41,880 Speaker 4: because tomorrow's Friday. The thirteenth, right before Valentine's Day. Wow, 50 00:02:41,880 --> 00:02:43,919 Speaker 4: how often does that happen? Imagine if we were having 51 00:02:43,960 --> 00:02:45,079 Speaker 4: a beaver wolf. 52 00:02:44,760 --> 00:02:45,720 Speaker 2: Moon at the same time. 53 00:02:46,280 --> 00:02:49,440 Speaker 1: It's kind of a super bonus for stupid people. Yes, 54 00:02:49,560 --> 00:02:55,840 Speaker 1: that is exciting. Wow, So from the play Enlightenment people 55 00:02:55,880 --> 00:02:58,360 Speaker 1: look into it. It really freed us up as a specie. 56 00:02:58,800 --> 00:03:00,400 Speaker 2: Let's not throw it away too quickly. 57 00:03:03,120 --> 00:03:05,760 Speaker 4: Political newsletter I read every day when I get up 58 00:03:06,080 --> 00:03:10,600 Speaker 4: is talking about how the running against the Epstein class 59 00:03:10,880 --> 00:03:14,000 Speaker 4: is becoming a bigger and bigger thing for the Democrats 60 00:03:14,160 --> 00:03:18,280 Speaker 4: in the midterm elections in November. The Epstein class and 61 00:03:18,320 --> 00:03:25,200 Speaker 4: trying to paint a lot of Republicans as hiding important 62 00:03:25,200 --> 00:03:27,440 Speaker 4: things in there. And then the Epstein class just be 63 00:03:27,639 --> 00:03:30,440 Speaker 4: rich and powerful, you know, just the rich and powerful people. 64 00:03:31,040 --> 00:03:35,120 Speaker 4: You think that's going to stick the Epstein class. I 65 00:03:35,160 --> 00:03:38,120 Speaker 4: think it could. And it's such a funny coincidence. I've 66 00:03:38,160 --> 00:03:43,160 Speaker 4: been digging into late nineteenth century London through the lens 67 00:03:43,200 --> 00:03:45,400 Speaker 4: of the Jack the Ripper killings, as I've mentioned once 68 00:03:45,480 --> 00:03:49,640 Speaker 4: or twice, and the narrative that it was an upper 69 00:03:49,760 --> 00:03:54,600 Speaker 4: cruster who was preying on the poor and the lower classes, 70 00:03:54,680 --> 00:03:57,920 Speaker 4: because that's what the rich do I mean that narrative 71 00:03:58,200 --> 00:04:01,000 Speaker 4: hold like crazy even though those really no evidence to 72 00:04:01,120 --> 00:04:02,520 Speaker 4: indicate that, no good evidence. 73 00:04:03,280 --> 00:04:08,280 Speaker 1: So that sort of narrative is a populist catnip. When 74 00:04:08,360 --> 00:04:10,720 Speaker 1: did Jack the Ripper do his killings late eighteen. 75 00:04:10,520 --> 00:04:15,840 Speaker 2: Hundredths, eighteen eighties? How many five? 76 00:04:16,120 --> 00:04:19,960 Speaker 1: Definitely in London. Yeah, there are a couple that might 77 00:04:20,000 --> 00:04:22,320 Speaker 1: have been, but probably weren't. Yeah, in London, in the 78 00:04:22,440 --> 00:04:26,760 Speaker 1: poor entirely in the the warrens of the poorest sections 79 00:04:26,800 --> 00:04:29,840 Speaker 1: of London where the people who tried to eke out 80 00:04:29,880 --> 00:04:33,720 Speaker 1: a living, and there was prostitution. Although interestingly, in eighteen 81 00:04:33,760 --> 00:04:36,839 Speaker 1: eighties London, if you lived with a man who was 82 00:04:36,880 --> 00:04:39,320 Speaker 1: not your husband, you were considered a prostitute. 83 00:04:40,160 --> 00:04:41,040 Speaker 2: That seems about right. 84 00:04:41,760 --> 00:04:48,240 Speaker 1: Oh boy, butlterring on it, huh exactly, milk the cow 85 00:04:48,320 --> 00:04:51,320 Speaker 1: or whatever the heck? The thing is, well, there's a 86 00:04:51,320 --> 00:04:55,040 Speaker 1: cow involved, yes, Yes, raping and killing or just killing, 87 00:04:56,000 --> 00:04:58,120 Speaker 1: just murdering and dismembering. 88 00:04:58,279 --> 00:04:58,640 Speaker 2: Wow. 89 00:04:59,000 --> 00:05:02,600 Speaker 1: Fashion it was the first generally recognized psychopath. 90 00:05:02,920 --> 00:05:04,880 Speaker 4: This is one of the many things I've learned multiple 91 00:05:04,960 --> 00:05:06,560 Speaker 4: times in my life, but then forget and have to 92 00:05:06,560 --> 00:05:08,679 Speaker 4: start all over again. And then did they ever figure 93 00:05:08,680 --> 00:05:11,960 Speaker 4: out who it was no, no, no, there are people 94 00:05:11,960 --> 00:05:15,280 Speaker 4: who have some pretty solid theories, but no, he stopped 95 00:05:15,320 --> 00:05:17,279 Speaker 4: killing inexplicably and. 96 00:05:17,360 --> 00:05:18,440 Speaker 2: Was never brought to justice. 97 00:05:19,040 --> 00:05:21,719 Speaker 4: Maybe it was William Shakespeare to bring two mysteries together. 98 00:05:21,920 --> 00:05:23,560 Speaker 2: That is one of the theories. 99 00:05:23,600 --> 00:05:27,039 Speaker 4: Yes, so person probably took it to the grave, or 100 00:05:27,120 --> 00:05:28,800 Speaker 4: maybe you know, just had a heart attack and died 101 00:05:28,839 --> 00:05:33,320 Speaker 4: and certainly got killed in a bar fight, right right, Yeah. 102 00:05:33,160 --> 00:05:35,680 Speaker 2: You never know. Is this a new book about it 103 00:05:35,800 --> 00:05:37,400 Speaker 2: or no. 104 00:05:37,640 --> 00:05:40,320 Speaker 1: No, it's actually a review of quite a few of 105 00:05:40,360 --> 00:05:41,360 Speaker 1: the books about it. 106 00:05:41,360 --> 00:05:43,760 Speaker 2: It's kind of a digest of that sort of thing. 107 00:05:44,440 --> 00:05:47,640 Speaker 1: But again, the part that's really really interesting the murders are, 108 00:05:47,680 --> 00:05:49,840 Speaker 1: I suppose in the way that a murder mystery always is, 109 00:05:49,839 --> 00:05:54,440 Speaker 1: but just the way the press functioned in that time 110 00:05:54,640 --> 00:05:58,000 Speaker 1: in London, and police procedures and how primitive they were, 111 00:05:58,040 --> 00:05:59,800 Speaker 1: but they were just starting to come into the modern 112 00:05:59,839 --> 00:06:01,120 Speaker 1: ear really quite interesting. 113 00:06:01,240 --> 00:06:05,600 Speaker 4: Get some class warfare thrown in there. Yeah, I'm sure 114 00:06:05,640 --> 00:06:07,720 Speaker 4: that's all on every chick you ain't got a ring 115 00:06:07,760 --> 00:06:10,160 Speaker 4: on her finger, a hooker. I mean, that's a little rough. 116 00:06:10,760 --> 00:06:11,279 Speaker 2: I'm sure. 117 00:06:11,360 --> 00:06:13,400 Speaker 4: I again, you're in favor of it. I'm sure I 118 00:06:13,480 --> 00:06:16,640 Speaker 4: read some books about that. I'll get to the bottom 119 00:06:16,680 --> 00:06:18,480 Speaker 4: of this idea when I was like twelve years old, 120 00:06:19,160 --> 00:06:21,400 Speaker 4: You and everybody like the link at assassination or whatever. 121 00:06:21,400 --> 00:06:23,560 Speaker 2: I'm going to figure this out. Tired of hearing all 122 00:06:23,560 --> 00:06:24,200 Speaker 2: this speculation. 123 00:06:25,920 --> 00:06:28,200 Speaker 4: Let's start the show officially, just so we can discuss 124 00:06:28,240 --> 00:06:29,760 Speaker 4: your Race to the Bottom comment. 125 00:06:29,880 --> 00:06:32,159 Speaker 2: I'm Jack Armstrong, He's Joe Getty on this. 126 00:06:32,240 --> 00:06:36,839 Speaker 4: It is Thursday, February twelfth, the year twenty twenty six, 127 00:06:36,839 --> 00:06:38,960 Speaker 4: where I'm strong in getting we approve of this program. 128 00:06:39,360 --> 00:06:42,360 Speaker 1: Let's begin then, officially, according to FCC rules of regulations, 129 00:06:42,400 --> 00:06:44,040 Speaker 1: the show starts at Mark. 130 00:06:43,920 --> 00:06:46,599 Speaker 4: And I told you about that Attorney General before you start. 131 00:06:46,680 --> 00:06:47,400 Speaker 2: You don't tell me. 132 00:06:47,640 --> 00:06:49,560 Speaker 5: Oh, I did tell you because I saw what you 133 00:06:49,600 --> 00:06:50,320 Speaker 5: did in the Senate. 134 00:06:50,360 --> 00:06:51,800 Speaker 2: Lawyer not even a lawyer. 135 00:06:54,360 --> 00:06:56,600 Speaker 4: He's a small taste of what went on yesterday as 136 00:06:56,640 --> 00:07:00,719 Speaker 4: Pam BONDI was questioned mostly about the Epstein files by Democrats, 137 00:07:00,800 --> 00:07:05,159 Speaker 4: and there were plenty of h low moments on both sides. 138 00:07:05,480 --> 00:07:06,200 Speaker 2: I felt like. 139 00:07:07,680 --> 00:07:09,560 Speaker 4: It was not good in the Race to the Bottom, 140 00:07:09,560 --> 00:07:13,040 Speaker 4: as we just keep going further, further and further away 141 00:07:13,120 --> 00:07:17,680 Speaker 4: from grown ups trying to solve problems. It's I don't 142 00:07:17,720 --> 00:07:19,040 Speaker 4: I don't know where it ends. I really don't know 143 00:07:19,040 --> 00:07:19,520 Speaker 4: where it ends. 144 00:07:19,960 --> 00:07:23,320 Speaker 1: And what's especially interesting is that we have enormous problems 145 00:07:23,360 --> 00:07:23,840 Speaker 1: to solve. 146 00:07:24,040 --> 00:07:28,880 Speaker 2: Sure, it's not like it's all, you know, peaches and cream. 147 00:07:28,920 --> 00:07:31,080 Speaker 4: It would have been nice if one congress person could 148 00:07:31,080 --> 00:07:33,080 Speaker 4: have stopped set up and said, uh, we have a 149 00:07:33,120 --> 00:07:34,680 Speaker 4: thirty five trillion dollar debt. 150 00:07:34,800 --> 00:07:38,440 Speaker 2: I yield my time, sit back down. Anybody you want 151 00:07:38,440 --> 00:07:39,200 Speaker 2: to talk about. 152 00:07:38,920 --> 00:07:43,320 Speaker 1: That, you want to hear the better truth? You probably don't. Uh, 153 00:07:43,360 --> 00:07:46,760 Speaker 1: I've been sitting on this editorial written by a senator 154 00:07:46,760 --> 00:07:48,840 Speaker 1: who just got done with his first year in the 155 00:07:48,880 --> 00:07:52,240 Speaker 1: Senate and has been trying to bring attention to the 156 00:07:52,280 --> 00:07:54,800 Speaker 1: fiscal cliff that we are driving toward a one hundred 157 00:07:54,800 --> 00:07:58,800 Speaker 1: miles per hour, and long story, short dude says, I 158 00:07:58,840 --> 00:08:00,760 Speaker 1: can't get anybody to even talk about it. 159 00:08:03,360 --> 00:08:08,800 Speaker 4: Well, probably for logical reasons, and that people have figured 160 00:08:08,840 --> 00:08:12,880 Speaker 4: out and they're probably right, that there's there's no there's 161 00:08:12,960 --> 00:08:15,480 Speaker 4: no audience for it. And if there's not an audience 162 00:08:15,520 --> 00:08:19,200 Speaker 4: in a democracy, you can't you just can't get anything going. Now, 163 00:08:19,640 --> 00:08:22,520 Speaker 4: you could make the argument that you are leaders, and 164 00:08:22,560 --> 00:08:25,240 Speaker 4: you're supposed to lead what we're interested in. 165 00:08:25,360 --> 00:08:30,440 Speaker 1: So if a bunch of you made powerful, eloquent speeches 166 00:08:30,480 --> 00:08:34,600 Speaker 1: about what this could do. Regular The chart a good chart. 167 00:08:34,640 --> 00:08:37,080 Speaker 1: People love charts, hammered over and over and over until 168 00:08:37,080 --> 00:08:41,720 Speaker 1: people start to catch on. But man, I just this 169 00:08:41,840 --> 00:08:45,480 Speaker 1: is one of the most perplexing things, certainly ever in 170 00:08:45,520 --> 00:08:48,120 Speaker 1: our thirty years of doing talk radio, This whole Epstein thing. 171 00:08:50,800 --> 00:08:51,360 Speaker 2: What is it? 172 00:08:52,520 --> 00:08:55,920 Speaker 4: What are they really talking about? How does it going 173 00:08:55,960 --> 00:08:57,560 Speaker 4: to end? Will it ever end? 174 00:08:58,520 --> 00:09:03,679 Speaker 1: The populist theory about what's actually going on again utterly 175 00:09:03,920 --> 00:09:07,680 Speaker 1: unchanged from the Jack the Ripper days, for instance, just 176 00:09:07,880 --> 00:09:10,600 Speaker 1: different names and different technology involved. What do you think 177 00:09:10,600 --> 00:09:12,600 Speaker 1: the undercurrents of human nature don't change? 178 00:09:12,679 --> 00:09:15,040 Speaker 4: So one of the things they were screaming at Pambondi, 179 00:09:15,080 --> 00:09:17,880 Speaker 4: and then Pambondi would scream back, would be the you know, 180 00:09:17,920 --> 00:09:21,600 Speaker 4: why haven't you unredacted everything? There's still things that are redacted. 181 00:09:22,600 --> 00:09:25,160 Speaker 4: You think there's a chance that the Justice Department gave 182 00:09:25,240 --> 00:09:28,960 Speaker 4: us a lot, a lot thinking that would do it, 183 00:09:29,000 --> 00:09:31,319 Speaker 4: and then just kept a couple of things back among 184 00:09:31,400 --> 00:09:34,760 Speaker 4: people that they really don't want embarrassed or tied into this. 185 00:09:35,800 --> 00:09:38,360 Speaker 1: It's not impossible. I don't think that's what's going on. 186 00:09:38,440 --> 00:09:40,760 Speaker 1: You'd think if you were going to find the Democrats' 187 00:09:40,800 --> 00:09:43,239 Speaker 1: protestations bitterly hilarious. 188 00:09:44,320 --> 00:09:47,520 Speaker 4: You'd think that if they were gonna do that, you 189 00:09:47,559 --> 00:09:49,480 Speaker 4: wouldn't have included the Howard Lutnik stuff. 190 00:09:49,520 --> 00:09:51,000 Speaker 2: You would have redacted that. Right. 191 00:09:51,320 --> 00:09:55,079 Speaker 4: He's the Commerce secretary in the Trump administration, right, right. 192 00:09:55,679 --> 00:10:00,480 Speaker 1: But there's no satisfying the conspiracy theory crowd, because they 193 00:10:00,480 --> 00:10:03,640 Speaker 1: would say, ah, that was the distraction, that was the 194 00:10:03,760 --> 00:10:07,160 Speaker 1: will put Lutnik. We'll throw Lutnik under the train, so 195 00:10:07,240 --> 00:10:11,960 Speaker 1: we can claim complete transparency, but we'll keep the real 196 00:10:12,080 --> 00:10:14,680 Speaker 1: files about the you know what's all that crap? 197 00:10:15,000 --> 00:10:16,280 Speaker 2: We'll keep fat secret. 198 00:10:16,400 --> 00:10:19,280 Speaker 4: Does this sputter out when the Democrats take the House, 199 00:10:19,360 --> 00:10:21,880 Speaker 4: because then they're in charge, and then and then what 200 00:10:21,880 --> 00:10:23,720 Speaker 4: what are you gonna do now, because you've been in 201 00:10:23,840 --> 00:10:26,520 Speaker 4: charge before with the Epstein files and you didn't do anything. 202 00:10:26,920 --> 00:10:29,160 Speaker 1: No, because they won't have control of the Justice Department, 203 00:10:29,240 --> 00:10:33,199 Speaker 1: so they'll shout fictionally that the Justice Department isn't cooperating 204 00:10:33,440 --> 00:10:36,520 Speaker 1: with their request. There is not a on that committee 205 00:10:36,559 --> 00:10:40,760 Speaker 1: that was yelling at Pampondi. I would guess every single 206 00:10:40,880 --> 00:10:45,120 Speaker 1: Democrat yelling those questions knows precisely why what was redacted 207 00:10:45,200 --> 00:10:49,920 Speaker 1: was redacted. But they're pretending they don't and yelling. It's 208 00:10:49,960 --> 00:10:53,360 Speaker 1: all performative. It's a race to the bottom. Fantastic. We 209 00:10:53,440 --> 00:10:55,480 Speaker 1: got Katie's headlines on the way. We'll get into some 210 00:10:55,480 --> 00:10:57,360 Speaker 1: of the news of the day. They found a glove 211 00:10:57,520 --> 00:10:59,280 Speaker 1: somewhere near Nancy Guthrie's house. 212 00:10:59,320 --> 00:11:02,640 Speaker 2: Whether that means anything or not, probably not a ton. 213 00:11:04,600 --> 00:11:08,600 Speaker 4: Trump's thinking about sending yet another aircraft carrier to the 214 00:11:08,760 --> 00:11:10,040 Speaker 4: region near Iran. 215 00:11:10,480 --> 00:11:13,320 Speaker 2: So that's exciting. Lots of stuff to talk about today. 216 00:11:13,320 --> 00:11:16,839 Speaker 2: I hope you can stick around. 217 00:11:18,920 --> 00:11:20,800 Speaker 4: I was just reading this piece in the Wall Street 218 00:11:20,880 --> 00:11:25,120 Speaker 4: Journal by Barton Swain. He goes through a couple of 219 00:11:25,120 --> 00:11:28,160 Speaker 4: the things that are in the Epstein files that people 220 00:11:28,200 --> 00:11:32,320 Speaker 4: haven't focused on because it kind of hurts the whole story, Like, 221 00:11:32,400 --> 00:11:38,479 Speaker 4: for instance, an almost ninety page memo by the prosecutors 222 00:11:38,480 --> 00:11:40,360 Speaker 4: of the Southern District of New York, which is a 223 00:11:40,480 --> 00:11:44,360 Speaker 4: very democratic leaning little legal institution if we all remember 224 00:11:44,360 --> 00:11:48,800 Speaker 4: from the Trump prosecutions, and that ninety six page memo 225 00:11:49,040 --> 00:11:54,120 Speaker 4: talks about that Virginia Gufaire girl, Geoffrey, poor girl who 226 00:11:54,240 --> 00:11:59,120 Speaker 4: killed herself. There was a very unreliable witness and probably 227 00:11:59,280 --> 00:12:03,760 Speaker 4: a fabulous and made up stories. That's what the prosecutors 228 00:12:03,760 --> 00:12:07,640 Speaker 4: determined in great detail. Nobody wants to talk about that 229 00:12:07,840 --> 00:12:13,120 Speaker 4: detail in the Epstein files, right right, Yeah, it's too bad. 230 00:12:13,160 --> 00:12:15,120 Speaker 4: They said, Yeah, we can't use her on the stand 231 00:12:15,720 --> 00:12:19,400 Speaker 4: and any evidence from her is highly suspect unfortunately. 232 00:12:19,920 --> 00:12:20,400 Speaker 2: Wow. 233 00:12:21,600 --> 00:12:25,440 Speaker 1: More on that later, Yeah, yeah, more on a lot 234 00:12:25,440 --> 00:12:27,440 Speaker 1: of things later. Let's figure out who's reporting what. It's 235 00:12:27,480 --> 00:12:30,520 Speaker 1: the lead story with Katie Green. Katie, like you guys 236 00:12:30,559 --> 00:12:32,439 Speaker 1: have been talking about, the Epstein files are at the 237 00:12:32,480 --> 00:12:33,560 Speaker 1: top of everybody's list. 238 00:12:33,679 --> 00:12:39,480 Speaker 3: ABC Democratic Rep. Jiapal accuses DOJ of spying on her 239 00:12:39,520 --> 00:12:44,400 Speaker 3: search history from unredacted Epstein files review NBC. Epstein survivors 240 00:12:44,400 --> 00:12:47,920 Speaker 3: say they felt quote degraded and a lack of empathy 241 00:12:48,400 --> 00:12:52,920 Speaker 3: from Pam Bondy and CNN. Attorney General Pam Bondy's testimony 242 00:12:53,000 --> 00:12:56,720 Speaker 3: heats up as she exchanges jabs with lawmakers over Epstein. 243 00:12:56,920 --> 00:12:59,640 Speaker 4: Well, I didn't like what Pam Bondy, how she handled it. 244 00:12:59,679 --> 00:13:02,240 Speaker 4: But the Democrats, we'll play some of these clips later 245 00:13:02,280 --> 00:13:05,160 Speaker 4: with the will you turn around and apologize to the 246 00:13:05,240 --> 00:13:06,520 Speaker 4: victims in this courtroom? 247 00:13:06,520 --> 00:13:08,880 Speaker 2: Ain't those kind of stunts? Shut up? 248 00:13:10,840 --> 00:13:16,240 Speaker 3: From Fox News investigators conduct second search of Annie Guthrie's 249 00:13:16,320 --> 00:13:20,120 Speaker 3: Arizona home and the search for Nancy Guthrie. 250 00:13:20,240 --> 00:13:21,520 Speaker 2: That is interesting. 251 00:13:21,720 --> 00:13:27,280 Speaker 1: That's the daughter with the husband who was hinted at 252 00:13:27,320 --> 00:13:31,320 Speaker 1: by What's her Face? The Ashley banfilm, Ashley Affield podcast 253 00:13:31,400 --> 00:13:33,199 Speaker 1: or former cynnch but nobody else. 254 00:13:35,760 --> 00:13:39,000 Speaker 3: From the New York Times, border officials are said to 255 00:13:39,080 --> 00:13:44,840 Speaker 3: have caused El Paso closure by firing anti drone laser. 256 00:13:46,400 --> 00:13:50,680 Speaker 1: Yeah, this is unraveling. It's beginning to look a little 257 00:13:50,720 --> 00:13:56,560 Speaker 1: Keystone COPSI Border Patrol fires lasers. Fas like, you can't 258 00:13:56,559 --> 00:13:58,880 Speaker 1: fire those lasers right next to an airport. You're gonna 259 00:13:58,880 --> 00:14:02,720 Speaker 1: bring down a plane. Then we're shutting the airport for 260 00:14:02,760 --> 00:14:05,680 Speaker 1: ten days because you're so stupid. And then it gets 261 00:14:05,720 --> 00:14:07,360 Speaker 1: to the White House, and the White House says, wait 262 00:14:07,360 --> 00:14:09,679 Speaker 1: a minute, Wait a minute, Wait a minute, everybody calmed down. 263 00:14:11,600 --> 00:14:12,679 Speaker 1: The broad outlines. 264 00:14:13,120 --> 00:14:15,000 Speaker 2: Yeah. 265 00:14:15,040 --> 00:14:20,000 Speaker 3: From the Washington Post, Ukrainian athlete barred from Olympic skeleton 266 00:14:20,080 --> 00:14:21,920 Speaker 3: event over helmet images. 267 00:14:23,520 --> 00:14:25,280 Speaker 4: So you get to wear a helmet when you're doing 268 00:14:25,280 --> 00:14:27,400 Speaker 4: the skeleton so you don't bash your brains open up 269 00:14:27,400 --> 00:14:29,560 Speaker 4: your rag, But you don't get to wear a helmet 270 00:14:29,240 --> 00:14:31,560 Speaker 4: with sort of writing on it or something. 271 00:14:31,760 --> 00:14:37,000 Speaker 3: He had photos of Ukrainian victims of Russia's more. 272 00:14:37,200 --> 00:14:40,640 Speaker 1: Basically, yet, no political messaging of any sort is allowed 273 00:14:40,680 --> 00:14:42,200 Speaker 1: on uniforms. 274 00:14:41,640 --> 00:14:44,960 Speaker 4: Which I'm fine with that and gear because it would geez. 275 00:14:45,000 --> 00:14:47,280 Speaker 4: Can you imagine if you opened that door. But so 276 00:14:47,400 --> 00:14:49,800 Speaker 4: did they tell the Ukrainian Hey, you can't use that. 277 00:14:50,360 --> 00:14:54,240 Speaker 1: Yeah, he said, well, I'm going to all right, yes, 278 00:14:54,280 --> 00:14:56,000 Speaker 1: actually I'm not racing unless I'm wearing it. 279 00:14:56,040 --> 00:14:58,160 Speaker 2: And they said, well, I'm sorry. We can't come together 280 00:14:58,200 --> 00:14:58,400 Speaker 2: on this. 281 00:14:58,600 --> 00:15:02,720 Speaker 1: You know, it's the unfortunate thing that adults understand. They've 282 00:15:02,720 --> 00:15:05,040 Speaker 1: got to consistently enforce the rules. It's too bad they 283 00:15:05,040 --> 00:15:07,080 Speaker 1: have to enforce it in this instance. But I can 284 00:15:07,120 --> 00:15:07,760 Speaker 1: deal with it. 285 00:15:07,920 --> 00:15:10,160 Speaker 4: I wish there was some sort of hey, press, at 286 00:15:10,200 --> 00:15:13,200 Speaker 4: least in the official Olympics press room, don't ask political 287 00:15:13,280 --> 00:15:15,920 Speaker 4: questions of these athletes. Yeah, oh yeah, because I mean 288 00:15:15,920 --> 00:15:19,359 Speaker 4: that's as bad as wearing political messages on your uniforms. 289 00:15:21,120 --> 00:15:24,480 Speaker 3: From the Wall Street Journal, healthcare jobs have become the 290 00:15:24,520 --> 00:15:29,120 Speaker 3: engine of America's labor market, saying demand for healthcare workers 291 00:15:29,120 --> 00:15:30,840 Speaker 3: beats out all other sectors. 292 00:15:31,080 --> 00:15:31,640 Speaker 2: Wow. Yeah. 293 00:15:31,680 --> 00:15:34,720 Speaker 1: There are a handful of different pieces about the jobs 294 00:15:34,760 --> 00:15:37,160 Speaker 1: report and the revisions and everything that have given me 295 00:15:37,200 --> 00:15:40,960 Speaker 1: a lot clearer picture of where the economy actually is 296 00:15:41,000 --> 00:15:41,840 Speaker 1: in terms of hiring. 297 00:15:41,920 --> 00:15:42,920 Speaker 2: I want to hear that. 298 00:15:43,240 --> 00:15:45,560 Speaker 1: Okay, good, I couldn't decide if it was too dry, 299 00:15:45,640 --> 00:15:48,480 Speaker 1: and you know, economics. See, But to all of us, 300 00:15:48,560 --> 00:15:50,080 Speaker 1: I think most of us are trying to make a 301 00:15:50,160 --> 00:15:53,080 Speaker 1: damn living and want to know what our prospects are 302 00:15:53,240 --> 00:15:53,800 Speaker 1: going forward. 303 00:15:53,840 --> 00:15:56,760 Speaker 2: So yeah, we'll bring that to your next gem. Damn 304 00:15:57,000 --> 00:16:00,440 Speaker 2: well ours are. But yeah, I'm not everybody's. Some people 305 00:16:00,440 --> 00:16:01,280 Speaker 2: have real skills. 306 00:16:04,000 --> 00:16:09,040 Speaker 3: From the New York Post raising canes Sue's Boston landlord 307 00:16:09,120 --> 00:16:13,440 Speaker 3: trying to evict restaurant over quote offensive chicken odor. 308 00:16:14,240 --> 00:16:15,640 Speaker 2: Hmmm, that reminds me. 309 00:16:15,680 --> 00:16:17,920 Speaker 4: I got to talk about this restaurant my boys and 310 00:16:17,960 --> 00:16:20,480 Speaker 4: I went into last night. Was the worst smelling restaurant 311 00:16:20,480 --> 00:16:23,120 Speaker 4: I've ever been into my life. Oh, it was like 312 00:16:23,160 --> 00:16:26,400 Speaker 4: I stepped into a porta potty. Oh my lord, does 313 00:16:26,440 --> 00:16:28,560 Speaker 4: that make me a bigot? Because it was a certain 314 00:16:28,600 --> 00:16:30,000 Speaker 4: cultural boo. 315 00:16:30,040 --> 00:16:32,200 Speaker 2: Well, if it smelled like a porta potty, it's smelled 316 00:16:32,240 --> 00:16:35,160 Speaker 2: like a porta potty, well an aggressive scent. 317 00:16:35,400 --> 00:16:38,000 Speaker 4: Other people of that nationality must have thought it was 318 00:16:38,000 --> 00:16:42,040 Speaker 4: okay because they were sitting in there eating mine and. 319 00:16:42,040 --> 00:16:43,240 Speaker 3: I missed the beginning of that. 320 00:16:43,280 --> 00:16:44,240 Speaker 2: Did you eat there? No? 321 00:16:44,600 --> 00:16:48,000 Speaker 4: God, we turned around, We're like, what is going on? 322 00:16:48,640 --> 00:16:50,560 Speaker 2: Oh? 323 00:16:51,280 --> 00:16:55,280 Speaker 3: Study fines are infants trained to love junk food? Troubling 324 00:16:55,320 --> 00:16:58,800 Speaker 3: study fine, seventy one percent of baby foods are ultra processed. 325 00:17:00,000 --> 00:17:03,520 Speaker 4: Sure, that's true, trained to look I think our brains 326 00:17:03,560 --> 00:17:06,080 Speaker 4: are trained to love junk food. They hacked our brains 327 00:17:06,240 --> 00:17:07,120 Speaker 4: to go off junk food. 328 00:17:07,760 --> 00:17:12,080 Speaker 3: And finally, the Babylon Bee Canadian reporter person announces police 329 00:17:12,119 --> 00:17:13,919 Speaker 3: persons have identified gun person. 330 00:17:14,520 --> 00:17:18,000 Speaker 4: Yeah, that's some of the language around that horrible shooting 331 00:17:18,040 --> 00:17:21,120 Speaker 4: in Canada where they're being so damned careful to stay 332 00:17:21,160 --> 00:17:22,760 Speaker 4: away from the whole trains issue. We'll have to talk 333 00:17:22,760 --> 00:17:24,360 Speaker 4: about that too. There's a lot to get to today. 334 00:17:24,359 --> 00:17:25,399 Speaker 4: I hope you can stick around. 335 00:17:26,600 --> 00:17:27,760 Speaker 2: Armstrong and Getty. 336 00:17:29,480 --> 00:17:32,560 Speaker 5: Wages are up on employment is down, and the US 337 00:17:32,600 --> 00:17:35,840 Speaker 5: added one hundred and thirty thousand new jobs in January 338 00:17:35,880 --> 00:17:38,600 Speaker 5: that according to the Labor Department, that's the best month 339 00:17:38,960 --> 00:17:40,160 Speaker 5: since twenty twenty four. 340 00:17:40,880 --> 00:17:42,119 Speaker 2: Most of the jobs came. 341 00:17:42,000 --> 00:17:45,440 Speaker 5: In healthcare, and while some white collar jobs suffered, mostly 342 00:17:45,480 --> 00:17:49,640 Speaker 5: in finance and information, parts of the blue collar economy boomed. 343 00:17:50,040 --> 00:17:53,720 Speaker 5: Thirty three thousand new construction jobs and the first manufacturing 344 00:17:53,760 --> 00:17:55,400 Speaker 5: growth in more than a year. 345 00:17:55,760 --> 00:17:58,000 Speaker 1: Well, first of all, I thought we were going to 346 00:17:58,040 --> 00:18:01,920 Speaker 1: spend day four of complaining about the bad Bunny halftime show. 347 00:18:01,960 --> 00:18:05,600 Speaker 4: But if we're going to do something different, the best 348 00:18:06,400 --> 00:18:08,640 Speaker 4: month in two years, Grace. 349 00:18:08,480 --> 00:18:11,480 Speaker 1: Kayes are gone a clear up, put on a happy. 350 00:18:11,160 --> 00:18:14,840 Speaker 2: Face even as they announced that. 351 00:18:14,960 --> 00:18:16,840 Speaker 1: You know that data we told you just a little 352 00:18:16,840 --> 00:18:19,560 Speaker 1: while back, that turns out that was completely inaccurate. 353 00:18:19,760 --> 00:18:21,920 Speaker 2: But here's the new data. Yeah, that was kind of weird, 354 00:18:22,040 --> 00:18:24,199 Speaker 2: but it is if it's absolutely true. That was kind 355 00:18:24,200 --> 00:18:24,480 Speaker 2: of weird. 356 00:18:24,480 --> 00:18:26,280 Speaker 4: It happened in a forty eight hour period, one day 357 00:18:26,320 --> 00:18:28,520 Speaker 4: you had the last year, we were off by a lot. 358 00:18:28,600 --> 00:18:30,960 Speaker 4: It was a lot less because the way we do 359 00:18:31,040 --> 00:18:32,600 Speaker 4: this now is just it makes no sense. 360 00:18:32,800 --> 00:18:36,960 Speaker 2: Here's today's numbers. What that's exactly right. That's a very 361 00:18:37,000 --> 00:18:37,959 Speaker 2: weird way to do it. 362 00:18:38,680 --> 00:18:40,440 Speaker 1: So, yeah, nearly all of the one hundred and thirty 363 00:18:40,440 --> 00:18:43,560 Speaker 1: thousand new jobs had in January allegedly or healthcare jobs 364 00:18:43,680 --> 00:18:48,400 Speaker 1: or positions related to healthcare. As the people of America age. 365 00:18:49,720 --> 00:18:53,919 Speaker 1: The construction sector again allegedly did pretty well with thirty 366 00:18:53,960 --> 00:18:59,440 Speaker 1: some thousand new jobs. Manufacturing center sector rather, he said 367 00:18:59,440 --> 00:19:03,760 Speaker 1: with excite tones also gained jobs. It was a very 368 00:19:03,800 --> 00:19:08,520 Speaker 1: small number, but it was a decent enough indication that 369 00:19:08,600 --> 00:19:13,240 Speaker 1: the shrinking of manufacturing may have slowed or even reverse. 370 00:19:13,400 --> 00:19:17,399 Speaker 1: But again, too early, too little data to say. Parts 371 00:19:17,400 --> 00:19:19,560 Speaker 1: of the healthcare industry, rights the Wall Street General, have 372 00:19:19,600 --> 00:19:24,520 Speaker 1: increasingly become reliant on immigrant workforce and immigrant workforce. The 373 00:19:24,600 --> 00:19:28,159 Speaker 1: US is long long offered special visas for highly skilled 374 00:19:28,160 --> 00:19:30,600 Speaker 1: foreign doctors willing to move to rural America where a 375 00:19:30,640 --> 00:19:32,680 Speaker 1: need for medical care is great. A surge of young 376 00:19:32,680 --> 00:19:35,320 Speaker 1: immigrants and immigrants who arrived as part of resettlement programs 377 00:19:35,359 --> 00:19:39,119 Speaker 1: filled to nursing jobs and home health aids as demand 378 00:19:39,160 --> 00:19:42,440 Speaker 1: for those positions continue to rise, left unexplained as why 379 00:19:42,440 --> 00:19:43,879 Speaker 1: Americans aren't doing those jobs. 380 00:19:44,440 --> 00:19:45,439 Speaker 2: H No kidding. 381 00:19:45,480 --> 00:19:49,720 Speaker 1: And I've never understood why these articles can't include are 382 00:19:49,720 --> 00:19:53,760 Speaker 1: you talking about legal immigration or illegal immigration? Because in 383 00:19:53,800 --> 00:19:57,399 Speaker 1: some sectors it's all about illegal immigration you're filling those 384 00:19:57,480 --> 00:20:01,280 Speaker 1: jobs with. In some sectors it is primary legal, which 385 00:20:01,359 --> 00:20:05,800 Speaker 1: is it here? Probably legal, but I wish they would distinguish. Yeah, 386 00:20:05,840 --> 00:20:08,720 Speaker 1: and the question of how immigration relates to all this 387 00:20:08,880 --> 00:20:11,080 Speaker 1: is a little complicated and nobody's one hundred percent sure, 388 00:20:11,240 --> 00:20:14,639 Speaker 1: But I thought This was among many tidbits. Pretty interesting. Oh, 389 00:20:14,760 --> 00:20:17,840 Speaker 1: coming up, the ultra rich are turning their homes into fortresses. 390 00:20:18,280 --> 00:20:23,720 Speaker 1: The new trends in ultrast security Wow, well includes motes. 391 00:20:23,760 --> 00:20:28,359 Speaker 2: I've always wanted to mote a moat. Yeah. Wow, wouldn't 392 00:20:28,359 --> 00:20:30,280 Speaker 2: that be great? Wow? I didn't know that could be 393 00:20:30,280 --> 00:20:32,280 Speaker 2: a thing. I got a new goal in life. 394 00:20:32,840 --> 00:20:35,120 Speaker 1: We kind of had a moat sort of in one house, 395 00:20:35,160 --> 00:20:37,960 Speaker 1: but it was more like a well landscaped drainage ditch. 396 00:20:39,680 --> 00:20:43,160 Speaker 2: Mote drawdators. 397 00:20:44,920 --> 00:20:47,840 Speaker 4: But unemployments around four percent, which is like about as 398 00:20:47,880 --> 00:20:50,320 Speaker 4: low as it can get the way the economy works, right, 399 00:20:50,520 --> 00:20:51,960 Speaker 4: so it's pretty close. 400 00:20:52,040 --> 00:20:52,680 Speaker 2: Yeah. 401 00:20:53,400 --> 00:20:56,720 Speaker 1: Foreign born workers jack are particularly concentrated at the upper 402 00:20:56,800 --> 00:21:00,440 Speaker 1: and lower ends of the skill ladder. In healthcare twenty 403 00:21:00,480 --> 00:21:02,480 Speaker 1: twenty four, they counted for less than fifteen percent of 404 00:21:02,480 --> 00:21:05,720 Speaker 1: the US population, but thirty nine percent of home health aids, 405 00:21:06,160 --> 00:21:10,080 Speaker 1: twenty eight percent of physicians, and twenty four percent of dentists, 406 00:21:10,560 --> 00:21:11,960 Speaker 1: according to census data. 407 00:21:12,040 --> 00:21:14,120 Speaker 4: Well, I would love to know if that upper end 408 00:21:14,200 --> 00:21:17,959 Speaker 4: is primarily legal immigration and the lower end was primarily 409 00:21:18,000 --> 00:21:18,920 Speaker 4: illegal immigration. 410 00:21:19,040 --> 00:21:20,359 Speaker 2: I'd love to have that. 411 00:21:20,359 --> 00:21:23,080 Speaker 1: That would be worth knowing, But nobody answers those questions. 412 00:21:23,119 --> 00:21:26,399 Speaker 1: Honestly at the job site. Excuse me, We're just here 413 00:21:26,440 --> 00:21:28,679 Speaker 1: to count the illegal immigrants. We're not going to deport you. 414 00:21:28,920 --> 00:21:33,159 Speaker 1: We're from the Department of Labor. Uh No, Senior, not 415 00:21:33,280 --> 00:21:36,960 Speaker 1: answering your question, Sennor Let's see, let's move on. There's 416 00:21:36,960 --> 00:21:42,080 Speaker 1: some more data here that I found interesting. Last year 417 00:21:42,400 --> 00:21:46,440 Speaker 1: May it was they talked about the giant revisions. The 418 00:21:46,480 --> 00:21:48,920 Speaker 1: net change in total employment was only one hundred and 419 00:21:48,960 --> 00:21:51,720 Speaker 1: eighty one thousand last year, down from the five hundred 420 00:21:51,800 --> 00:21:54,520 Speaker 1: and eighty they thought it was. That also makes the 421 00:21:54,520 --> 00:21:56,360 Speaker 1: first year of the Trump administration one of the most 422 00:21:56,400 --> 00:21:59,680 Speaker 1: unusual non recession years for employment in history. An economy 423 00:21:59,680 --> 00:22:03,159 Speaker 1: growing more than two percent should create more jobs. The 424 00:22:03,240 --> 00:22:06,679 Speaker 1: reasons for this job stagnation aren't clear, though One culprit 425 00:22:06,760 --> 00:22:10,320 Speaker 1: might be the uncertainty created by updown willy nilly tariff policy. 426 00:22:10,600 --> 00:22:12,199 Speaker 1: Hard to hire new workers if you don't know what 427 00:22:12,240 --> 00:22:14,800 Speaker 1: your costs are going to be hesitation to hire as 428 00:22:14,840 --> 00:22:17,640 Speaker 1: employers await. The onset of AI could also play a role, 429 00:22:17,720 --> 00:22:21,720 Speaker 1: especially at large companies that are able to deploy AI sooner. 430 00:22:21,960 --> 00:22:24,240 Speaker 4: Well how about that, when do all the people getting 431 00:22:24,320 --> 00:22:25,359 Speaker 4: laid off because of AI? 432 00:22:25,440 --> 00:22:27,159 Speaker 2: Does that factor into the number at all or are 433 00:22:27,200 --> 00:22:27,840 Speaker 2: those separate. 434 00:22:28,440 --> 00:22:31,760 Speaker 1: Uh yeah, yeah, they don't drill down into those numbers 435 00:22:31,800 --> 00:22:32,560 Speaker 1: because they're not known. 436 00:22:32,600 --> 00:22:34,320 Speaker 2: But yeah, that's absolutely a factor. 437 00:22:35,040 --> 00:22:37,000 Speaker 1: Major complication in this data is the impact of the 438 00:22:37,040 --> 00:22:42,000 Speaker 1: administration's mass deportation policy. The National Foundation for American Policy 439 00:22:42,880 --> 00:22:46,440 Speaker 1: n FAPP looked at the BLS data found a decline 440 00:22:46,520 --> 00:22:49,320 Speaker 1: of five hundred and thirty four thousand foreign workers in 441 00:22:49,320 --> 00:22:53,040 Speaker 1: the US since it peaked in March of last year. 442 00:22:53,359 --> 00:22:56,080 Speaker 1: That's a reduction of about one point four million foreign 443 00:22:56,080 --> 00:22:59,600 Speaker 1: born workers then would be expected from previous government estimates. 444 00:23:01,160 --> 00:23:04,359 Speaker 1: And they talk about the industries that lean on foreign 445 00:23:04,400 --> 00:23:11,040 Speaker 1: born folks. We've mentioned a couple you can imagine the rest, meatpacking, pliants, hospitality, landscaping, construction. 446 00:23:12,400 --> 00:23:14,879 Speaker 1: They say, the unemployment rate for US born workers was 447 00:23:14,920 --> 00:23:17,720 Speaker 1: four point seven percent in January compared to four point 448 00:23:17,720 --> 00:23:20,520 Speaker 1: three in January twenty five. The jobs that foreign workers 449 00:23:20,520 --> 00:23:24,000 Speaker 1: filled may simply go away over time as the deportation 450 00:23:24,080 --> 00:23:26,960 Speaker 1: wave continues, but at least in January, the labor market 451 00:23:26,960 --> 00:23:30,520 Speaker 1: shows signs of a welcome rebound, they said, But Americans 452 00:23:30,600 --> 00:23:32,920 Speaker 1: are not filling those jobs. 453 00:23:34,880 --> 00:23:35,400 Speaker 2: Let's see. 454 00:23:35,440 --> 00:23:38,760 Speaker 1: There's more to this, but one interesting thing, and I 455 00:23:38,800 --> 00:23:41,000 Speaker 1: thought I grabbed it, but I can't find it. They 456 00:23:41,000 --> 00:23:45,359 Speaker 1: were pointing out how over the last I guess they 457 00:23:45,400 --> 00:23:48,680 Speaker 1: went back to nineteen eighty. Over the last fifty years 458 00:23:48,800 --> 00:23:54,680 Speaker 1: or so forty five fifty years, the relationship between people 459 00:23:54,840 --> 00:23:59,760 Speaker 1: at the median income and the eightieth percentile of income 460 00:24:00,400 --> 00:24:04,239 Speaker 1: has changed. The eightieth percentile has always been looked as 461 00:24:04,320 --> 00:24:06,400 Speaker 1: the gateway to a. 462 00:24:06,400 --> 00:24:08,680 Speaker 2: Comfortable life monarchy. You can make it up there. 463 00:24:08,800 --> 00:24:13,320 Speaker 1: Top hats, Oh yes, spats, butlers bats right, butler's Butler's 464 00:24:13,359 --> 00:24:18,280 Speaker 1: wearing spats and monocles. But and I don't have the 465 00:24:18,359 --> 00:24:21,800 Speaker 1: numbers in front of me. But the percentage difference between 466 00:24:21,920 --> 00:24:26,280 Speaker 1: fifty percent and eighty percent is much higher than it 467 00:24:26,440 --> 00:24:32,480 Speaker 1: used to be, as wealth is actually concentrating upward because 468 00:24:32,480 --> 00:24:34,560 Speaker 1: of the nature are jobs, the nature of economy, the 469 00:24:34,600 --> 00:24:37,159 Speaker 1: American economy now, and nobody's quite sure what to do 470 00:24:37,240 --> 00:24:40,600 Speaker 1: about it. But as if you have to do anything 471 00:24:40,640 --> 00:24:45,240 Speaker 1: about it, in a purely libertarian point of view, you don't. 472 00:24:45,440 --> 00:24:48,560 Speaker 1: It's just the way the cookie has crumbled, and technology 473 00:24:48,600 --> 00:24:49,280 Speaker 1: has changed the world. 474 00:24:49,440 --> 00:24:50,920 Speaker 2: Right from a political point. 475 00:24:50,720 --> 00:24:52,159 Speaker 4: Of view, though, it's dangerous, and that's the way the 476 00:24:52,200 --> 00:24:56,600 Speaker 4: cookie has crumbled. Temporarily probably, and well, different things will 477 00:24:56,640 --> 00:24:58,200 Speaker 4: be true ten years from now. 478 00:24:58,840 --> 00:25:03,560 Speaker 1: Right right, But again, politically speaking, ask anybody from any 479 00:25:03,640 --> 00:25:06,960 Speaker 1: era and any form of government. Yeah, you got masses 480 00:25:07,000 --> 00:25:10,080 Speaker 1: of people thinking they're being done wrong by the upper crust. 481 00:25:10,359 --> 00:25:13,600 Speaker 4: Change happens, right, Well, everybody's going to be out of 482 00:25:13,640 --> 00:25:14,880 Speaker 4: work when AI takes over. 483 00:25:14,760 --> 00:25:17,720 Speaker 1: So except healthcare workers, because we're all getting old. 484 00:25:17,840 --> 00:25:19,520 Speaker 4: We got a good article about that a little bit 485 00:25:19,600 --> 00:25:22,520 Speaker 4: later from one of your many AI experts, saying people 486 00:25:22,560 --> 00:25:27,560 Speaker 4: are not taking this seriously enough. Big things are coming. 487 00:25:28,000 --> 00:25:31,080 Speaker 4: Winter is coming, and you should. I don't know what 488 00:25:31,080 --> 00:25:32,880 Speaker 4: I'm supposed to do. That's still that's the whole thing. 489 00:25:33,040 --> 00:25:36,080 Speaker 1: I believe big things are coming, but there's nothing I 490 00:25:36,119 --> 00:25:37,800 Speaker 1: can do about it. I mean, I don't think there's 491 00:25:37,800 --> 00:25:40,120 Speaker 1: any preparing for it other than maybe, you know, save 492 00:25:40,160 --> 00:25:44,080 Speaker 1: your money. If you are one of our younger listeners 493 00:25:44,600 --> 00:25:48,840 Speaker 1: and you're thinking, yeah, I'm looking at all this and thinking. 494 00:25:50,080 --> 00:25:52,320 Speaker 2: God to help us all. I have no idea what's 495 00:25:52,359 --> 00:25:53,240 Speaker 2: going to happen. 496 00:25:53,160 --> 00:25:56,600 Speaker 1: Or what to do about it, You're right to think that, Yeah, 497 00:25:56,640 --> 00:25:59,320 Speaker 1: I wish we could offer more than sympathy, be light 498 00:25:59,359 --> 00:26:03,560 Speaker 1: on your feet and change with the times. The thanks Grandpa. Yeah, 499 00:26:03,640 --> 00:26:07,639 Speaker 1: it's as uncertain as it feels. God, who was I 500 00:26:07,680 --> 00:26:12,080 Speaker 1: talking to just yesterday? They were They were help They 501 00:26:12,119 --> 00:26:15,280 Speaker 1: are helping some young people with writing assignments, and then 502 00:26:15,400 --> 00:26:18,119 Speaker 1: really learning about AI and seeing how good it is, 503 00:26:18,160 --> 00:26:21,640 Speaker 1: and wondering will young people ever need to write again? 504 00:26:21,840 --> 00:26:22,199 Speaker 2: Will you? 505 00:26:22,760 --> 00:26:24,960 Speaker 4: Will there be any value in being able to write? 506 00:26:25,480 --> 00:26:28,200 Speaker 4: Or is it just being able to use AI to write? 507 00:26:29,560 --> 00:26:33,480 Speaker 1: So they'll just babble out verbal prompts in their overly 508 00:26:33,600 --> 00:26:39,640 Speaker 1: simplified pigeon English nonsense moronical ramblings, and the AI will 509 00:26:39,640 --> 00:26:40,920 Speaker 1: sort it out and make it coherently. 510 00:26:40,920 --> 00:26:43,600 Speaker 4: I supposed to be value in knowing what good writing is, 511 00:26:44,640 --> 00:26:46,479 Speaker 4: just so you could prompt the AI. 512 00:26:46,960 --> 00:26:50,520 Speaker 2: But I mean, I'm a. 513 00:26:50,600 --> 00:26:56,359 Speaker 1: Gomma want a reformed because I gotta got a bad deal. 514 00:26:57,200 --> 00:27:00,399 Speaker 2: Dear sir, writes the AI. I must put test my 515 00:27:00,520 --> 00:27:06,080 Speaker 2: recent treatment. That's your grocery emporium. That is the way 516 00:27:06,080 --> 00:27:13,720 Speaker 2: it's gonna work. Yes, and I am highly unsatisfied. You're 517 00:27:13,720 --> 00:27:19,400 Speaker 2: a humble servant. That is the way it's gonna go. Yeah. 518 00:27:19,680 --> 00:27:21,560 Speaker 1: You grunt out a couple of words that can barely 519 00:27:21,640 --> 00:27:24,400 Speaker 1: understand it, comes up with something eloquent, and you send 520 00:27:24,400 --> 00:27:24,720 Speaker 1: it off. 521 00:27:24,840 --> 00:27:25,400 Speaker 2: That's your right. 522 00:27:27,640 --> 00:27:29,200 Speaker 1: We got mailbag on the way and we'll get into 523 00:27:29,200 --> 00:27:30,640 Speaker 1: some of the more of the news of the day 524 00:27:30,640 --> 00:27:31,000 Speaker 1: coming up. 525 00:27:31,040 --> 00:27:31,600 Speaker 2: So stay here. 526 00:27:36,119 --> 00:27:40,720 Speaker 4: Tom Holman just announced the surge is over in Minneapolis. 527 00:27:40,920 --> 00:27:44,320 Speaker 4: With details around that announcement, maybe we'll get to that 528 00:27:44,560 --> 00:27:45,480 Speaker 4: in coming hours. 529 00:27:45,520 --> 00:27:46,840 Speaker 2: But that's a pretty big deal. 530 00:27:47,880 --> 00:27:50,119 Speaker 1: Pull out Ice Barbie, put in Tom Holman and what 531 00:27:50,240 --> 00:27:53,520 Speaker 1: a week and a half later, he says, we're done here. Wow, 532 00:27:53,840 --> 00:27:56,520 Speaker 1: all right, we will discuss here's your freedom hating quote 533 00:27:56,560 --> 00:27:59,840 Speaker 1: of the day, Continuing our series of quotes from communists. 534 00:28:00,320 --> 00:28:03,320 Speaker 1: This one's really something sent along by alert listener Adam. 535 00:28:03,400 --> 00:28:07,560 Speaker 1: Thank you, Adam. It's from you've probably never heard of him, PETERA. Stirka. 536 00:28:07,640 --> 00:28:11,800 Speaker 1: He was a Latvian Bolshevik revolutionary, key figure in early 537 00:28:11,920 --> 00:28:15,240 Speaker 1: Soviet jurisprudence, blah blah, etc. Sir, he's a big name 538 00:28:15,320 --> 00:28:19,240 Speaker 1: in the Soviet Union. He said, this communism means not 539 00:28:19,359 --> 00:28:22,560 Speaker 1: the victory of socialist law, but the victory of socialism 540 00:28:22,640 --> 00:28:25,960 Speaker 1: over any law, since with the abolition of classes with 541 00:28:26,000 --> 00:28:32,760 Speaker 1: their antagonistic interests, law will disappear altogether. This guy actually 542 00:28:32,840 --> 00:28:37,000 Speaker 1: thought the socialist utopia would bring so much happiness in 543 00:28:37,080 --> 00:28:40,480 Speaker 1: sharing and goodwill, there wouldn't need to be any rules. 544 00:28:40,560 --> 00:28:43,240 Speaker 2: Right, Holy crap? 545 00:28:43,480 --> 00:28:48,560 Speaker 4: Really dude, Yeah, it seems some ideas so idiotically an 546 00:28:48,600 --> 00:28:52,000 Speaker 4: intellectual could have. It seems that Lenin, who was an intellectual, 547 00:28:52,080 --> 00:28:56,320 Speaker 4: thought there will be no stealing once we have the 548 00:28:57,120 --> 00:29:00,800 Speaker 4: socialist utopia. People only do that because of blah blah 549 00:29:00,800 --> 00:29:03,840 Speaker 4: blah blah blah. Good lord, I know, isn't that crazy? 550 00:29:04,520 --> 00:29:06,080 Speaker 2: How Yeah? No kidding? 551 00:29:07,200 --> 00:29:09,880 Speaker 1: As a Matt Taybe, I had quote him so often 552 00:29:10,240 --> 00:29:16,400 Speaker 1: upper class twits promoting revolution. I carmba mail bag, drop 553 00:29:16,520 --> 00:29:21,840 Speaker 1: us a note mail bag at Armstrong in getty dot com, 554 00:29:22,120 --> 00:29:24,520 Speaker 1: JT and livermore freaquent correspondent rights. I think it was 555 00:29:24,520 --> 00:29:26,480 Speaker 1: in the first hour Wednesdays to show you discussed a 556 00:29:26,520 --> 00:29:28,920 Speaker 1: poll about how Americans feel about things five years out. 557 00:29:29,480 --> 00:29:32,560 Speaker 1: Numbers were a significant drop from previous polls. I don't 558 00:29:32,560 --> 00:29:34,920 Speaker 1: know when, but Joe, you recently mentioned how business doesn't 559 00:29:34,960 --> 00:29:38,120 Speaker 1: like uncertainty. Well, consumers don't exactly love it either. Look 560 00:29:38,120 --> 00:29:41,560 Speaker 1: at the unusual uncertainty facing Americans today. We have Hitler 561 00:29:41,600 --> 00:29:44,400 Speaker 1: in the White House. The end of our democracy is nigh. 562 00:29:44,760 --> 00:29:47,920 Speaker 1: Ice is Trump's private army and they're randomly murdering Americans. 563 00:29:48,080 --> 00:29:50,000 Speaker 1: Oh and in a few years everybody's going to lose 564 00:29:50,040 --> 00:29:53,400 Speaker 1: their jobs to AI. Well, nice job, JT. You left 565 00:29:53,440 --> 00:29:55,000 Speaker 1: out the fact that we're all going to die of 566 00:29:55,080 --> 00:29:58,360 Speaker 1: fiery death when the climate change cooks the planet. 567 00:29:59,080 --> 00:30:00,960 Speaker 2: Anyway, I've never had any of. 568 00:30:00,880 --> 00:30:03,640 Speaker 1: Those concerns hammered into our psyche by the prevailing media 569 00:30:03,680 --> 00:30:05,320 Speaker 1: the way we are getting it now, let alone all 570 00:30:05,320 --> 00:30:07,360 Speaker 1: those things at one time. My question is, why is 571 00:30:07,520 --> 00:30:10,560 Speaker 1: the number even isn't the number even more pessimistic? 572 00:30:10,720 --> 00:30:12,120 Speaker 2: Wow, that's a good point. 573 00:30:12,400 --> 00:30:15,120 Speaker 4: Maybe the amazing thing is, look how optimistic we are 574 00:30:15,160 --> 00:30:15,960 Speaker 4: in the face. 575 00:30:15,720 --> 00:30:20,600 Speaker 1: Of all that, right, the doom everywhere, doom, and then 576 00:30:20,680 --> 00:30:23,880 Speaker 1: he throws in on aside. By the way, my goal 577 00:30:23,920 --> 00:30:25,560 Speaker 1: is to have one day in which every mail bag 578 00:30:25,720 --> 00:30:28,400 Speaker 1: entry is from JT and Livermore just saying now that. 579 00:30:28,440 --> 00:30:33,000 Speaker 2: Day could come. JT, Thank you, buddy. Oh My. 580 00:30:34,560 --> 00:30:37,280 Speaker 1: Eric six gun Smith from Beautiful as Story, Oregon, another 581 00:30:37,320 --> 00:30:40,480 Speaker 1: frequent correspondent, writes on the topic of A and G's 582 00:30:40,520 --> 00:30:44,360 Speaker 1: suspect firearms knowledge. During the opening of yesterday's show, both 583 00:30:44,400 --> 00:30:47,479 Speaker 1: of you ridiculed the alleged Tucson kidnappers, specifically the placement 584 00:30:47,520 --> 00:30:50,760 Speaker 1: of his gun holster directly over his crotch. Jack rhetorically 585 00:30:50,800 --> 00:30:52,960 Speaker 1: asked if this lamo had ever seen anyone carry a 586 00:30:52,960 --> 00:30:55,880 Speaker 1: pistol like that. Well, well, well it would seem that 587 00:30:55,920 --> 00:30:58,120 Speaker 1: Ang's hubris has met its nemesis. 588 00:30:59,320 --> 00:31:00,120 Speaker 2: Jeah q oo. 589 00:31:00,480 --> 00:31:05,200 Speaker 1: Exhibit A take a look at the storied adventurer Yukon Cornelius, 590 00:31:05,840 --> 00:31:09,760 Speaker 1: and he includes a still picture from the treasured Rudolph, 591 00:31:09,800 --> 00:31:13,640 Speaker 1: the red Nose reindeer stop action animation thing from the sixties. 592 00:31:13,840 --> 00:31:16,040 Speaker 1: A child of four can clearly see he wears his 593 00:31:16,280 --> 00:31:21,040 Speaker 1: cat perfectly centered atop his peepe area. I should think 594 00:31:21,080 --> 00:31:25,200 Speaker 1: that this Arctic prospector, eccentric though he may be, knows 595 00:31:25,240 --> 00:31:27,480 Speaker 1: a little more than you yucks about how to sling 596 00:31:27,560 --> 00:31:33,880 Speaker 1: his nickel plated roscoe, given that he can detect, given 597 00:31:33,920 --> 00:31:37,480 Speaker 1: that he can detect precious metals just by tasting his 598 00:31:37,640 --> 00:31:42,920 Speaker 1: pick axe, while taming Bumble, the abottomable snowmaster, and saving Christmas. 599 00:31:42,600 --> 00:31:44,360 Speaker 2: For us all I rest my case. 600 00:31:46,000 --> 00:31:48,240 Speaker 4: I like it being about Rudolph and not the murder 601 00:31:48,280 --> 00:31:50,880 Speaker 4: of an old woman. But it is weird that that 602 00:31:51,000 --> 00:31:53,239 Speaker 4: scumbag decided to wear his a gun in a way 603 00:31:53,360 --> 00:31:55,120 Speaker 4: nobody's ever seen anywhere ever. 604 00:31:56,080 --> 00:32:00,560 Speaker 1: Yeah, Yeah, moving along, Jack analyzing your Dream, which featured 605 00:32:01,240 --> 00:32:04,760 Speaker 1: both Gavin Newsome and Snoop Dog. 606 00:32:05,000 --> 00:32:07,440 Speaker 2: Correct uh. 607 00:32:07,880 --> 00:32:11,600 Speaker 1: Biggern says, I think Jack is unwittingly dreaming an unbeatable 608 00:32:11,600 --> 00:32:16,400 Speaker 1: Democratic ticket Dog Newsome twenty twenty eight. Look out, jd Vance. 609 00:32:16,640 --> 00:32:18,520 Speaker 4: I know a lot of you dream every night, and 610 00:32:18,560 --> 00:32:20,600 Speaker 4: I guess that is normal, Like you wake up and 611 00:32:20,600 --> 00:32:23,200 Speaker 4: have dreams. You remember, I dream once a decade. 612 00:32:23,920 --> 00:32:24,080 Speaker 2: Uh. 613 00:32:25,320 --> 00:32:27,560 Speaker 4: But it's interesting how you can have these really powerful 614 00:32:27,600 --> 00:32:30,360 Speaker 4: dreams and you wake up and they dissipate so quickly 615 00:32:30,440 --> 00:32:33,440 Speaker 4: and within an hour you can't remember the details, which 616 00:32:33,480 --> 00:32:34,280 Speaker 4: is quite interesting. 617 00:32:34,360 --> 00:32:37,120 Speaker 1: It is interesting, Gavin, It is interesting, Yeah, Gavin, good 618 00:32:37,200 --> 00:32:38,920 Speaker 1: luck with you and your VP. 619 00:32:39,080 --> 00:32:39,640 Speaker 2: Snoop Dog. 620 00:32:40,680 --> 00:32:44,560 Speaker 1: On the smell in the restaurant, a quick responder, BJ writes, 621 00:32:45,360 --> 00:32:48,440 Speaker 1: he mentions a couple of ethnicities. Then he said, many 622 00:32:48,520 --> 00:32:50,640 Speaker 1: years ago I drove a bus in La I could 623 00:32:50,640 --> 00:32:53,560 Speaker 1: actually determine the ethnicity of a passenger without looking out 624 00:32:53,800 --> 00:32:54,440 Speaker 1: by the smell. 625 00:32:55,960 --> 00:32:58,920 Speaker 2: I assume they mean of the clothes. The cooking smells. Interesting. 626 00:32:59,400 --> 00:33:01,760 Speaker 4: That's in with that restaurant I was talking about that 627 00:33:01,800 --> 00:33:04,440 Speaker 4: we went into last night. We were like, WHOA is 628 00:33:04,440 --> 00:33:06,640 Speaker 4: there a sewage leak. My son actually said that. 629 00:33:07,840 --> 00:33:10,760 Speaker 1: Are you gonna reveal the sort of restaurants? I feel 630 00:33:10,760 --> 00:33:15,360 Speaker 1: like that would do me no good. Hmm, Perhaps you 631 00:33:15,360 --> 00:33:20,160 Speaker 1: could mention what you'd hoped to order. I didn't know 632 00:33:20,160 --> 00:33:20,880 Speaker 1: what kind of restaurant. 633 00:33:20,880 --> 00:33:21,080 Speaker 2: It was. 634 00:33:21,200 --> 00:33:23,280 Speaker 4: Was brand new and you couldn't tell by the name, 635 00:33:23,920 --> 00:33:24,960 Speaker 4: so I had no idea what it was. 636 00:33:24,960 --> 00:33:27,360 Speaker 2: That's the reason I walked in. Oh and the smell. 637 00:33:27,440 --> 00:33:29,560 Speaker 4: As soon as soon as I got close to the restaurant, 638 00:33:29,560 --> 00:33:31,640 Speaker 4: I thought, did the guy in front of us walking 639 00:33:31,680 --> 00:33:34,840 Speaker 4: in the door just put a load in his pants? 640 00:33:36,160 --> 00:33:37,719 Speaker 1: But then I got into the restaurant, I realized it's 641 00:33:37,760 --> 00:33:39,880 Speaker 1: what the resta is. The restaurant smell coming out the door, 642 00:33:39,920 --> 00:33:42,760 Speaker 1: and it was like Sam was like, oh my god, 643 00:33:42,800 --> 00:33:45,920 Speaker 1: what is that smell? That shouldn't happen when you walk 644 00:33:45,960 --> 00:33:49,600 Speaker 1: in a restaurant. Moving along to Ryan from Houston, Dear 645 00:33:49,680 --> 00:33:53,560 Speaker 1: Jeffrey Armstrong and Jack Epstein on Big Sunday, Big Game 646 00:33:53,680 --> 00:33:56,360 Speaker 1: Sunday Women pedaled by Epstein in a twist of irony, 647 00:33:56,400 --> 00:33:59,160 Speaker 1: pulled a nationally. Madison released an ad stating they were 648 00:33:59,200 --> 00:34:02,320 Speaker 1: ready to name name. Congressman Massey states he's ready to 649 00:34:02,400 --> 00:34:05,840 Speaker 1: name names. Stop playing games. Damn it, it's a race 650 00:34:05,880 --> 00:34:08,160 Speaker 1: to the bottom. I wish everyone involved in this cluster 651 00:34:08,320 --> 00:34:10,480 Speaker 1: f shot into the sea by Trebuschett. 652 00:34:10,719 --> 00:34:12,279 Speaker 2: I know, I know, I know. 653 00:34:12,440 --> 00:34:15,520 Speaker 4: I mean, you should have the ultimate sympathy for the victims, 654 00:34:15,520 --> 00:34:18,279 Speaker 4: but the victims doing the whole. Well, we have the 655 00:34:18,360 --> 00:34:21,319 Speaker 4: list and unless we get that, we're releasing it. What 656 00:34:22,640 --> 00:34:26,319 Speaker 4: why if you have an information give it over a 657 00:34:26,400 --> 00:34:27,239 Speaker 4: long time ago. 658 00:34:28,040 --> 00:34:31,520 Speaker 2: Yeah, I know, I know, and it's probably Trebuchet. I 659 00:34:31,520 --> 00:34:32,160 Speaker 2: hate French. 660 00:34:33,800 --> 00:34:39,640 Speaker 1: And then Lieutenant Eric writes, he says he has something 661 00:34:39,680 --> 00:34:42,320 Speaker 1: he wants you to watch. But he thinks one of 662 00:34:42,360 --> 00:34:45,000 Speaker 1: the reason is that women are freaked out, whether in 663 00:34:45,040 --> 00:34:47,680 Speaker 1: Britain that we were talking about or the Western world 664 00:34:47,719 --> 00:34:52,680 Speaker 1: about having kids, is that they're constantly being recorded, often 665 00:34:52,719 --> 00:34:56,560 Speaker 1: by themselves, and everything is posted all the time. He 666 00:34:56,640 --> 00:34:58,239 Speaker 1: doesn't really spell it out, but I found it an 667 00:34:58,320 --> 00:35:02,560 Speaker 1: intriguing thought that women think it's obligatory that they post 668 00:35:02,600 --> 00:35:08,680 Speaker 1: their entire lives, and that their uncertainty about parenting, they think, well, 669 00:35:08,800 --> 00:35:11,160 Speaker 1: all of my mistakes will be broadcast because of course 670 00:35:11,160 --> 00:35:12,520 Speaker 1: I have to post everything. 671 00:35:12,520 --> 00:35:16,080 Speaker 4: And I could see how it would look more parenting 672 00:35:16,160 --> 00:35:18,840 Speaker 4: is pretty overwhelming anyway, but I could see how it 673 00:35:18,840 --> 00:35:21,160 Speaker 4: would look even more overwhelming if you see all these 674 00:35:21,239 --> 00:35:23,359 Speaker 4: videos and think, is this part of the deal. 675 00:35:23,360 --> 00:35:26,759 Speaker 2: I got to do this right. Yeah. 676 00:35:26,840 --> 00:35:29,120 Speaker 1: I have more thoughts on the topic, but we're out 677 00:35:29,120 --> 00:35:29,319 Speaker 1: of time. 678 00:35:29,400 --> 00:35:29,560 Speaker 2: Yeah. 679 00:35:29,560 --> 00:35:32,719 Speaker 4: The Financial Time says an interesting article about dropping birth 680 00:35:32,800 --> 00:35:34,440 Speaker 4: rates that we're going to get to today too. If 681 00:35:34,440 --> 00:35:37,520 Speaker 4: you miss the segment, get the podcast Armstrong and Getty