1 00:00:01,920 --> 00:00:06,200 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,240 --> 00:00:10,879 Speaker 1: Washington Broadcast Center, Jack Armstrong, Joe Getty arm Strong and 3 00:00:11,039 --> 00:00:17,320 Speaker 1: Jetty and now he Armstrong and Yetty. 4 00:00:23,520 --> 00:00:27,120 Speaker 2: I am Colin O'Brien, and I'm honored to be the 5 00:00:27,280 --> 00:00:29,600 Speaker 2: last human host of the Academy Award. 6 00:00:31,560 --> 00:00:31,800 Speaker 1: Yeah. 7 00:00:33,200 --> 00:00:36,000 Speaker 2: Yeah, next year it's going to be a way mo 8 00:00:36,159 --> 00:00:36,760 Speaker 2: in a tux. 9 00:00:36,960 --> 00:00:41,400 Speaker 1: So check that out and say that's kind of funny. Aweimo, 10 00:00:41,520 --> 00:00:46,520 Speaker 1: and it tucks. The Academy Awards are moving to YouTube 11 00:00:46,680 --> 00:00:51,400 Speaker 1: in a couple of years, which sounds fairly appropriate for 12 00:00:52,960 --> 00:00:57,120 Speaker 1: where things are going and the fact that the ratings 13 00:00:57,120 --> 00:01:00,840 Speaker 1: have dropped off so much over recent years as they've 14 00:01:00,920 --> 00:01:04,080 Speaker 1: alienated two thirds of America. I think in three years 15 00:01:04,120 --> 00:01:06,840 Speaker 1: the Oscars move online to YouTube. I hope the producers. 16 00:01:06,840 --> 00:01:09,120 Speaker 1: I'm reading a critic in the New York Post. I 17 00:01:09,120 --> 00:01:11,640 Speaker 1: hope the producers. Well, I hope there are new producers 18 00:01:11,640 --> 00:01:14,319 Speaker 1: for this show. I hope whoever's in charge should take 19 00:01:14,360 --> 00:01:17,240 Speaker 1: the reboot as an opportunity to remake the Academy Awards 20 00:01:17,400 --> 00:01:20,200 Speaker 1: to be a celebration of our love of movies and 21 00:01:20,280 --> 00:01:23,240 Speaker 1: not just use streaming as an excuse to let winners 22 00:01:23,280 --> 00:01:27,639 Speaker 1: talk and talk no more blather after another. One blather 23 00:01:27,720 --> 00:01:30,640 Speaker 1: after another, which is a take on the title of 24 00:01:30,680 --> 00:01:32,600 Speaker 1: the film that won the Best Oscar last night. One 25 00:01:32,600 --> 00:01:36,119 Speaker 1: blather after another. Yeah, Okay, Well it's gonna go one 26 00:01:36,120 --> 00:01:38,120 Speaker 1: direction or another other. They're either going to decide, you 27 00:01:38,160 --> 00:01:40,440 Speaker 1: know what, we should try to welcome in everybody who 28 00:01:40,440 --> 00:01:43,560 Speaker 1: loves movies, which is everyone, and stay from politics. Or 29 00:01:43,560 --> 00:01:46,399 Speaker 1: we should decide that we have now become a tight 30 00:01:46,440 --> 00:01:48,560 Speaker 1: little group of a certain kind of person, We're just 31 00:01:48,560 --> 00:01:50,320 Speaker 1: going to talk to each other, which seems to be 32 00:01:50,320 --> 00:01:52,920 Speaker 1: the direction they've chosen. I like this one. It was 33 00:01:52,920 --> 00:01:57,440 Speaker 1: written by David Mickicks. Hollywood, the most sublime dream factory 34 00:01:57,480 --> 00:02:01,160 Speaker 1: ever known to humanity, has died. Reports don't include an 35 00:02:01,160 --> 00:02:03,280 Speaker 1: exact time of death, but the end came years on. 36 00:02:04,000 --> 00:02:07,520 Speaker 1: After years on life support, sustained by allegion of CGI 37 00:02:07,760 --> 00:02:11,560 Speaker 1: enhanced superheroes. Once rollicking and reckless, full of glamour, danger 38 00:02:11,600 --> 00:02:15,560 Speaker 1: and suspense, Hollywood spent two decades withering into a cosmetically altered, 39 00:02:15,600 --> 00:02:20,160 Speaker 1: politically correct corpse. It's one surviving older relative Opera could 40 00:02:20,160 --> 00:02:23,000 Speaker 1: not be reached for comment. It's only child television and 41 00:02:23,040 --> 00:02:26,480 Speaker 1: two grandchildren video gaming and Little TikTok were distracted by 42 00:02:26,520 --> 00:02:30,839 Speaker 1: family corals and did not attend the funeral. Ha ha ha, Yeah, 43 00:02:31,240 --> 00:02:34,440 Speaker 1: I saw so. I'm sorry speaking of family corals coming up. 44 00:02:35,840 --> 00:02:40,880 Speaker 1: Having annoying relatives could speed up your biological clock. In 45 00:02:40,919 --> 00:02:45,040 Speaker 1: other words, send you to an early grave. Stay with 46 00:02:45,120 --> 00:02:47,400 Speaker 1: us a couple of short Oscar comments. I did not 47 00:02:47,480 --> 00:02:49,440 Speaker 1: see a second of it, but I read some quotes 48 00:02:50,200 --> 00:02:53,640 Speaker 1: from various stars saying things about ice or the war 49 00:02:53,720 --> 00:02:56,760 Speaker 1: or whatever, and I think, who, what do you think 50 00:02:56,800 --> 00:03:02,160 Speaker 1: you're accomplishing at this point. Maybe fifteen years ago when 51 00:03:02,240 --> 00:03:04,920 Speaker 1: you still got an audience of like eighty million people 52 00:03:05,000 --> 00:03:07,799 Speaker 1: and it was shocking to hear somebody make a political comment, 53 00:03:07,919 --> 00:03:12,240 Speaker 1: maybe then you got some bang for your buck. But 54 00:03:12,280 --> 00:03:14,200 Speaker 1: at this point, when you're only talking to other people 55 00:03:14,200 --> 00:03:16,399 Speaker 1: who agree with you, and the audience is dwindled way 56 00:03:16,400 --> 00:03:20,160 Speaker 1: way way down, what is Harvier Bardem or whatever his 57 00:03:20,280 --> 00:03:22,720 Speaker 1: name is, think he's getting out of free Palestine and 58 00:03:22,760 --> 00:03:25,280 Speaker 1: the crowd collapse a little bit? What does he possibly 59 00:03:25,280 --> 00:03:28,399 Speaker 1: think he's getting out of that? I think, as a misanthrope, 60 00:03:28,960 --> 00:03:34,080 Speaker 1: you're ill suited for this question, because I think you 61 00:03:34,200 --> 00:03:39,680 Speaker 1: underestimate the desperation for approval that the people inside that 62 00:03:39,760 --> 00:03:42,880 Speaker 1: building have. It's for each other. It's for the people 63 00:03:42,880 --> 00:03:46,440 Speaker 1: in the building and the people in the creative arts community, 64 00:03:46,600 --> 00:03:49,360 Speaker 1: which is essentially the people. I don't relate to that 65 00:03:49,400 --> 00:03:51,920 Speaker 1: because I don't have that gene or whatever. But yeah, 66 00:03:51,960 --> 00:03:54,640 Speaker 1: so he's gonna go to the after Oscar party. He's 67 00:03:54,640 --> 00:03:56,800 Speaker 1: gonna hit three after Oscar parties, and people are gonna 68 00:03:56,800 --> 00:03:59,480 Speaker 1: say that was so brave what you said about Palaestifree 69 00:03:59,520 --> 00:04:03,240 Speaker 1: powercent and that gives him an erection having done that. 70 00:04:03,600 --> 00:04:05,480 Speaker 1: I don't know about that. I don't know him that well, 71 00:04:05,520 --> 00:04:07,360 Speaker 1: but yes, it will please him well. And the other 72 00:04:07,440 --> 00:04:12,040 Speaker 1: Oscar thing that maybe we'll talk about later is ozempic 73 00:04:12,320 --> 00:04:16,080 Speaker 1: on the runway. Apparently people who are already pretty dang 74 00:04:16,120 --> 00:04:20,080 Speaker 1: thin are now skeletal because they decided to go ozempic 75 00:04:20,600 --> 00:04:25,040 Speaker 1: and get is so skinny. Okay, that's interesting. Wow, Wow, 76 00:04:25,240 --> 00:04:30,040 Speaker 1: what a strange subculture of America that I swear, And 77 00:04:30,080 --> 00:04:33,520 Speaker 1: nobody's paying much attention these days, but other than the media, 78 00:04:33,560 --> 00:04:38,040 Speaker 1: which is stuck in the past because they're herd animals. 79 00:04:39,400 --> 00:04:41,520 Speaker 1: But I mean, you might as well be talking about 80 00:04:41,560 --> 00:04:45,640 Speaker 1: some sort of Sister Wives community where they're all wearing 81 00:04:46,120 --> 00:04:49,960 Speaker 1: drab dresses out in the rural Utah or something than Hollywood, 82 00:04:50,000 --> 00:04:52,920 Speaker 1: because you know, about as similar to my lifestyle as 83 00:04:53,240 --> 00:04:55,720 Speaker 1: one to the other. It still alerts me to all 84 00:04:55,760 --> 00:04:57,520 Speaker 1: these words. Shows alert me to good stuff, and I 85 00:04:57,560 --> 00:05:01,000 Speaker 1: have from find good stuff. I watched Martin Supreme, the 86 00:05:01,000 --> 00:05:03,760 Speaker 1: Timothy challow May movie he was nominated for Best Actor 87 00:05:04,240 --> 00:05:06,800 Speaker 1: but lost last night. I watched that movie every weekend. 88 00:05:06,800 --> 00:05:10,000 Speaker 1: We've weird loved it. It was fantastic. I started in 89 00:05:10,080 --> 00:05:14,400 Speaker 1: watching it again yesterday art for the same time, very artsy. Yeah, 90 00:05:14,440 --> 00:05:17,680 Speaker 1: it is not a formula movie by and Timothy Schallomey 91 00:05:17,760 --> 00:05:22,880 Speaker 1: is flipping amazing. It was between that or Sinners, and 92 00:05:23,080 --> 00:05:26,640 Speaker 1: I just I just can't do vampire. I just really, 93 00:05:26,680 --> 00:05:30,280 Speaker 1: I just can't go vampire. Even though the Southern juke 94 00:05:30,400 --> 00:05:33,000 Speaker 1: joint music that all looked good. But I but then 95 00:05:33,040 --> 00:05:34,960 Speaker 1: I'm told the second half just kind of becomes a 96 00:05:35,040 --> 00:05:37,719 Speaker 1: vampire movie. Yeah, it looks like it's funny about you 97 00:05:37,800 --> 00:05:41,479 Speaker 1: and vampires. What the deal? How about Frankenstein, monsters or mummies? 98 00:05:41,520 --> 00:05:44,279 Speaker 1: Are you smarly anti vam or I'll tell you this 99 00:05:44,320 --> 00:05:46,840 Speaker 1: about the Ping Pong movie, Timothy Shallomey. If you've seen 100 00:05:46,880 --> 00:05:49,920 Speaker 1: a trailer, you have no idea what the movie's about. 101 00:05:49,920 --> 00:05:51,920 Speaker 1: There's no way you could make a trailer that gives 102 00:05:51,920 --> 00:05:54,760 Speaker 1: you any idea what the movie is like. Wait a minute, 103 00:05:54,800 --> 00:05:56,760 Speaker 1: his dog doesn't die of cancer at the end. They 104 00:05:56,800 --> 00:05:58,800 Speaker 1: fooled me once with that crab. Not like that, but 105 00:05:58,880 --> 00:06:04,520 Speaker 1: it is okay, it is something. Yeah, okay, now I'm interested. Yeah, 106 00:06:04,600 --> 00:06:07,520 Speaker 1: I like vampire movies, so I'll probably watched that Sinners. 107 00:06:08,160 --> 00:06:10,240 Speaker 1: I've been told that it was kind of woke, but 108 00:06:10,279 --> 00:06:12,719 Speaker 1: I don't. You don't know. These days, everybody's saw on Edge. 109 00:06:13,279 --> 00:06:16,000 Speaker 1: I have a dozen different speakers of that just since 110 00:06:16,000 --> 00:06:19,760 Speaker 1: it came up. Now on that one battle after another? 111 00:06:19,839 --> 00:06:23,520 Speaker 1: Is that what it's called? That one best picture? Yeah? 112 00:06:23,920 --> 00:06:25,719 Speaker 1: I saw it, and I didn't see politics in it. 113 00:06:25,800 --> 00:06:27,320 Speaker 1: You saw it, and other people saw it and thought 114 00:06:27,360 --> 00:06:28,720 Speaker 1: there's a lot of politics in it. Oh, I thought 115 00:06:28,720 --> 00:06:31,320 Speaker 1: it was unwatchable. Yeah, that's interesting. A lot of reviewers 116 00:06:31,520 --> 00:06:36,080 Speaker 1: are on each side of it too. The director himself said, no, 117 00:06:36,160 --> 00:06:38,640 Speaker 1: it's not about politics. He said, I hate movies that 118 00:06:38,640 --> 00:06:41,720 Speaker 1: are about politics. He said, they're boring. Plus, you have 119 00:06:41,760 --> 00:06:44,080 Speaker 1: no shelf life. I want to make movies that people 120 00:06:44,080 --> 00:06:47,080 Speaker 1: will enjoy for years. His intention was for it to 121 00:06:47,080 --> 00:06:50,720 Speaker 1: not be about politics. But again, when we discussed this originally, 122 00:06:50,800 --> 00:06:53,480 Speaker 1: I confess that I'd only watch the first twenty minutes 123 00:06:53,600 --> 00:06:55,919 Speaker 1: or so of it, and you can get a disorded 124 00:06:55,960 --> 00:06:59,120 Speaker 1: idea of what the greater thing is. But Hollywood's obnoxious 125 00:06:59,120 --> 00:07:00,840 Speaker 1: and I hate them away. I just thought i'd put 126 00:07:00,839 --> 00:07:05,359 Speaker 1: a period on that at or oh coming up. Indeed, 127 00:07:05,360 --> 00:07:08,560 Speaker 1: your obnoxious relatives will shorten your life. But first, I've 128 00:07:08,600 --> 00:07:11,280 Speaker 1: got half a dozen at least, of really intriguing articles 129 00:07:11,320 --> 00:07:13,480 Speaker 1: about AI and where we are now with it. Here's 130 00:07:13,520 --> 00:07:17,160 Speaker 1: the question for you, and I noodle this through every 131 00:07:17,160 --> 00:07:19,400 Speaker 1: time I bring it up. It's probably going to be 132 00:07:19,440 --> 00:07:24,960 Speaker 1: completely different in three months. So how much value is 133 00:07:25,000 --> 00:07:28,080 Speaker 1: there in a where we are now? I suppose there's 134 00:07:28,160 --> 00:07:30,560 Speaker 1: value because we're all kind of curious about how it's evolving. 135 00:07:30,680 --> 00:07:35,480 Speaker 1: But I'm never sure. But I like this thinking AI 136 00:07:35,640 --> 00:07:39,960 Speaker 1: can do work? Can it do a job? This is 137 00:07:40,240 --> 00:07:44,200 Speaker 1: really well written by Kobe Yank Jacobs. Hopefully it sounds 138 00:07:44,240 --> 00:07:47,600 Speaker 1: like an act more than a name. But his middle 139 00:07:47,680 --> 00:07:54,520 Speaker 1: name is Yank. His last name is hyphenated Yank dash Jacobs. Okay, 140 00:07:55,200 --> 00:08:00,720 Speaker 1: I've never heard of anybody named Yank. Yeah, kind of 141 00:08:00,720 --> 00:08:04,920 Speaker 1: reminds me, for some reason of my shop teacher slash 142 00:08:04,960 --> 00:08:07,680 Speaker 1: wrestling coach who used to call me mister me offer. 143 00:08:09,240 --> 00:08:12,920 Speaker 1: That's a crass and childish joke, especially for an educator. 144 00:08:13,000 --> 00:08:13,200 Speaker 2: Jack. 145 00:08:13,240 --> 00:08:15,640 Speaker 1: You couldn't get away with that anymore, could you? No, 146 00:08:16,600 --> 00:08:20,800 Speaker 1: you shouldn't have gotten away with it. Then what the 147 00:08:20,840 --> 00:08:24,920 Speaker 1: hell you went to some weird schools? So this guy's 148 00:08:25,600 --> 00:08:28,320 Speaker 1: piece of write and starts off with a couple of 149 00:08:28,320 --> 00:08:31,960 Speaker 1: people who are trying to figure out what career might 150 00:08:32,000 --> 00:08:36,280 Speaker 1: be AI proof, Like this gal who's a journalist who 151 00:08:36,280 --> 00:08:39,959 Speaker 1: became now she writes about wine and beverages and stuff. 152 00:08:40,000 --> 00:08:45,640 Speaker 1: Because a robots can't taste wine, she says, But he 153 00:08:45,679 --> 00:08:51,920 Speaker 1: writes the problem that's true, I suppose robots can't taste wine, right, right, 154 00:08:52,520 --> 00:08:55,800 Speaker 1: But then he writes, after some delightful and lyrical writing 155 00:08:55,840 --> 00:08:59,080 Speaker 1: which I will skip, an AI passing the bar hasn't 156 00:08:59,080 --> 00:09:02,000 Speaker 1: displaced Llawyer, just as an AI reading a medical scan 157 00:09:02,160 --> 00:09:06,840 Speaker 1: is not placed displaced. Radiologists software engineers do seem to 158 00:09:06,840 --> 00:09:09,920 Speaker 1: be on the precipice, and they often acknowledge it. If 159 00:09:09,960 --> 00:09:12,560 Speaker 1: you're just following what tasks AI can do, you see 160 00:09:12,559 --> 00:09:15,320 Speaker 1: a drastically mixed picture when you look at different industries. 161 00:09:15,520 --> 00:09:17,440 Speaker 1: To get a better picture of how the latest AI 162 00:09:17,520 --> 00:09:20,479 Speaker 1: development affects jobs, you need to think in terms of messiness. 163 00:09:21,320 --> 00:09:25,040 Speaker 1: What can an AI do in a flexible, fluid environment, 164 00:09:25,240 --> 00:09:28,960 Speaker 1: one where instructions are ambiguous, the steps are less important 165 00:09:29,000 --> 00:09:32,959 Speaker 1: than the outcomes. An AI that land leads to major 166 00:09:33,040 --> 00:09:40,600 Speaker 1: job displacement doesn't just act independently. It pursues goals. Recent 167 00:09:40,640 --> 00:09:43,640 Speaker 1: studies show a sixteen percent decline in employment among twenty 168 00:09:43,679 --> 00:09:45,600 Speaker 1: two to twenty five year olds in the most AI 169 00:09:45,640 --> 00:09:49,240 Speaker 1: exposed professions like programming. There is absolutely no question that 170 00:09:49,280 --> 00:09:52,440 Speaker 1: it's really really hurting that. At the same time, other 171 00:09:52,480 --> 00:09:56,160 Speaker 1: research showed that industries with hate high AI exposure have 172 00:09:56,280 --> 00:09:59,040 Speaker 1: seen a one percentage point increase in the rate of 173 00:09:59,160 --> 00:10:02,840 Speaker 1: job growth relative to industries with less exposure. This is 174 00:10:02,880 --> 00:10:06,359 Speaker 1: often referred to as the difference between automation and augmentation. 175 00:10:07,040 --> 00:10:10,199 Speaker 1: If AI makes your job faster to do, an employer 176 00:10:10,320 --> 00:10:14,240 Speaker 1: might choose to sell more of what you make. When 177 00:10:14,280 --> 00:10:17,720 Speaker 1: ATMs were invented, it actually increased the overall number of 178 00:10:17,800 --> 00:10:22,480 Speaker 1: bank tellers, but they did different work. This is augmentation 179 00:10:22,559 --> 00:10:25,720 Speaker 1: and action. A productivity enhancing machine expanded the business and 180 00:10:25,760 --> 00:10:28,480 Speaker 1: it upgraded the value of the frontline role. This doesn't 181 00:10:28,480 --> 00:10:30,319 Speaker 1: happen in every case, but it makes the simple story 182 00:10:30,360 --> 00:10:35,040 Speaker 1: of automation a little more complex, and he talks about 183 00:10:36,000 --> 00:10:41,680 Speaker 1: if it eliminates bottlenecks. I'm sorry, he said. Another reason 184 00:10:41,720 --> 00:10:44,400 Speaker 1: why I'm looking narrowly at AIS performance on certain tasks 185 00:10:44,480 --> 00:10:47,319 Speaker 1: is a faulty heuristic. That is, deploying AI in actual 186 00:10:47,360 --> 00:10:51,040 Speaker 1: business context is a really slow, messy process. This is 187 00:10:51,040 --> 00:10:54,559 Speaker 1: in part because productivity gains create bottlenecks. If I were 188 00:10:54,559 --> 00:10:57,360 Speaker 1: to complete three extra articles per week, our editors would 189 00:10:57,360 --> 00:11:00,640 Speaker 1: also have to move three times as fast, and regulation 190 00:11:00,720 --> 00:11:03,839 Speaker 1: also add a stubborn friction. Replacing a human schedule or 191 00:11:03,880 --> 00:11:06,920 Speaker 1: in a doctor's office with an AI won't necessarily make 192 00:11:06,960 --> 00:11:10,760 Speaker 1: it any faster. Hit the necessary hip hop permissions to 193 00:11:10,840 --> 00:11:16,480 Speaker 1: handle individual patient profiles. The barrier there isn't technological anyway. 194 00:11:16,559 --> 00:11:20,800 Speaker 1: So it's very messy and it's a long piece. But 195 00:11:20,840 --> 00:11:23,800 Speaker 1: the fact that we don't have any idea whether this 196 00:11:23,960 --> 00:11:29,080 Speaker 1: is going to revolutionize man's relationship with earning a living 197 00:11:29,160 --> 00:11:31,520 Speaker 1: in a way that's never happened on planet Earth, or 198 00:11:31,559 --> 00:11:36,680 Speaker 1: maybe not hardly at all, is amazing, right right, But 199 00:11:36,880 --> 00:11:40,319 Speaker 1: he says the challenge right now is to figure out 200 00:11:40,400 --> 00:11:42,760 Speaker 1: how to use AI and how much to use AI 201 00:11:43,080 --> 00:11:46,680 Speaker 1: in a way that doesn't lead to sometimes hilarious disasters, 202 00:11:47,280 --> 00:11:52,079 Speaker 1: because that's still happening a lot with hallucinating or when 203 00:11:52,200 --> 00:11:55,160 Speaker 1: anthropic like Claud run its office vending machine is a 204 00:11:55,200 --> 00:12:00,360 Speaker 1: small business, which was an hilarious foible. So where there 205 00:12:00,400 --> 00:12:04,440 Speaker 1: is ambiguity and it's more about goals than a specific 206 00:12:04,679 --> 00:12:07,800 Speaker 1: task that can be easily programmed, they think it actually 207 00:12:07,880 --> 00:12:11,880 Speaker 1: might increase jobs in those fields for now again, ask 208 00:12:11,920 --> 00:12:15,160 Speaker 1: me again in two months. Yeah, I mean an example 209 00:12:15,200 --> 00:12:17,599 Speaker 1: on that would be So I saw the results of 210 00:12:17,640 --> 00:12:19,280 Speaker 1: the Oscars, and I wanted to do a little research 211 00:12:19,360 --> 00:12:24,600 Speaker 1: last night, and then so I searched on Groc for instance, 212 00:12:24,640 --> 00:12:28,760 Speaker 1: I said, what did critics or the directors say about 213 00:12:28,760 --> 00:12:32,120 Speaker 1: the meaning of one battle after another after winning the 214 00:12:32,120 --> 00:12:35,720 Speaker 1: Oscars tonight? And Groc just could not come up with 215 00:12:35,720 --> 00:12:41,920 Speaker 1: that movie, just could not recognize that movie exists. Because 216 00:12:41,960 --> 00:12:44,080 Speaker 1: I kept saying, do you mean the movie? It kept 217 00:12:44,080 --> 00:12:47,080 Speaker 1: giving me different titles. We're not, do you mean last 218 00:12:47,160 --> 00:12:51,880 Speaker 1: year's Oscars? Like just what how could you not? I mean, 219 00:12:52,000 --> 00:12:55,360 Speaker 1: just the most simple, rudimentary Google would give you that 220 00:12:56,000 --> 00:12:58,880 Speaker 1: movie and it didn't couldn't tell that it existed. I 221 00:12:58,960 --> 00:13:01,839 Speaker 1: went to Claude and got ammediate results. But so how 222 00:13:02,679 --> 00:13:06,079 Speaker 1: how these AI machines just every once in a while 223 00:13:06,240 --> 00:13:13,760 Speaker 1: glitch and like get something so wrong? Is amazing? Yeah, yeah, 224 00:13:13,920 --> 00:13:18,760 Speaker 1: I won to the disastrous on the nature of your business. 225 00:13:18,800 --> 00:13:22,000 Speaker 1: No kidding, no kidding. Wow. If you have any thoughts 226 00:13:22,040 --> 00:13:23,679 Speaker 1: on about that, anybody in the know, you should hit 227 00:13:23,760 --> 00:13:26,959 Speaker 1: us with the text four one five nine five kftc. 228 00:13:31,000 --> 00:13:34,280 Speaker 3: US and Israeli strikes continued to hammer the Iranian regime 229 00:13:34,440 --> 00:13:38,080 Speaker 3: over the weekend, significant air strikes in the capital of Tehran. 230 00:13:38,120 --> 00:13:41,880 Speaker 3: We've got some video showing black smoke rising overnight from 231 00:13:41,880 --> 00:13:43,000 Speaker 3: the Iranian capital. 232 00:13:43,200 --> 00:13:44,920 Speaker 1: It's not just Tehran that's getting hit. 233 00:13:44,880 --> 00:13:48,600 Speaker 3: Though, the entirety of Western Iran coming under heavy sent 234 00:13:48,679 --> 00:13:51,960 Speaker 3: common Israeli strikes as the Americans and the Israelis are 235 00:13:52,040 --> 00:13:56,080 Speaker 3: looking to degrade the Iranian regime and their capability to respond. 236 00:13:56,400 --> 00:13:58,160 Speaker 1: So we'll have more on the latest with the war 237 00:13:58,200 --> 00:14:00,360 Speaker 1: coming up a little later and where things and with 238 00:14:00,440 --> 00:14:03,319 Speaker 1: the attempting to open the strait of her moves so 239 00:14:03,559 --> 00:14:06,120 Speaker 1: oil tankers can go in and out. And does it 240 00:14:06,160 --> 00:14:10,400 Speaker 1: feel like your toxic family relationships are aging you they 241 00:14:10,520 --> 00:14:14,760 Speaker 1: are science coming up. Stay with us got the perfect 242 00:14:14,960 --> 00:14:17,440 Speaker 1: companion piece to what we were just talking about with 243 00:14:17,520 --> 00:14:25,240 Speaker 1: the whole AI thing. Is AI gonna like destroy the everything, economics, 244 00:14:25,280 --> 00:14:27,640 Speaker 1: people having a job, people having a purpose in life, 245 00:14:27,840 --> 00:14:32,320 Speaker 1: blah blah blah, just up end the planet or not. Well. 246 00:14:32,560 --> 00:14:35,480 Speaker 1: One of the greatest alarmists in world history who turned 247 00:14:35,480 --> 00:14:38,760 Speaker 1: out to be wrong, died over the weekend. Paul Erlick, 248 00:14:38,800 --> 00:14:42,200 Speaker 1: who wrote the population Bomb in nineteen sixty eight that 249 00:14:42,280 --> 00:14:45,440 Speaker 1: had everybody freaked out for years and years and years, 250 00:14:45,600 --> 00:14:50,720 Speaker 1: really started the whole environmental thing. He died over the weekend. 251 00:14:50,720 --> 00:14:52,840 Speaker 1: He wrote the population bomb. He was predicting that by 252 00:14:52,880 --> 00:14:55,600 Speaker 1: the mid eighties there would be never ending wars for 253 00:14:55,640 --> 00:14:58,840 Speaker 1: food and water because the population would be so great 254 00:14:59,040 --> 00:15:02,040 Speaker 1: with limited resoarch. Since in there was there's almost no 255 00:15:02,160 --> 00:15:04,760 Speaker 1: time left to turn this around. Families all around the 256 00:15:04,800 --> 00:15:07,960 Speaker 1: world needed to start having one, two, or no children 257 00:15:08,280 --> 00:15:11,760 Speaker 1: or were absolutely doomed as a species. And he couldn't 258 00:15:11,960 --> 00:15:18,720 Speaker 1: have been more wrong. Hilariously So yeah, and not that 259 00:15:18,800 --> 00:15:20,880 Speaker 1: it would have been easy to predict. I mean, it 260 00:15:20,880 --> 00:15:23,880 Speaker 1: would have been impossible to predict that human beings would 261 00:15:23,960 --> 00:15:27,720 Speaker 1: just on their own decide to stop having children. And 262 00:15:27,760 --> 00:15:29,880 Speaker 1: now our big problem is where we gonna get people. 263 00:15:30,040 --> 00:15:32,200 Speaker 1: We're gonna disappear because we don't have two people. I 264 00:15:32,240 --> 00:15:34,000 Speaker 1: don't blame him for not being able to predict that. 265 00:15:34,120 --> 00:15:36,640 Speaker 1: The point is that a long same as the whole 266 00:15:36,640 --> 00:15:41,520 Speaker 1: AI thing. Who freaking knows this guy. This guy was 267 00:15:41,520 --> 00:15:45,520 Speaker 1: on Johnny Carson twenty times, twenty times. He was on 268 00:15:45,560 --> 00:15:47,560 Speaker 1: the Tonight Show talking about it. When we get when 269 00:15:47,560 --> 00:15:49,680 Speaker 1: we reached this many billion people in this much water, 270 00:15:50,000 --> 00:15:51,360 Speaker 1: blah blah bl the end of wars and this is 271 00:15:51,400 --> 00:15:54,640 Speaker 1: what's gonna happen in starvation. Not even close to right, 272 00:15:55,360 --> 00:15:58,520 Speaker 1: right right. And I've always thought with the climate change thing, 273 00:15:58,560 --> 00:16:01,800 Speaker 1: not that I'm pro like pumping pollutants into the air 274 00:16:01,920 --> 00:16:04,520 Speaker 1: NonStop or anything like that. I'd like to protect the 275 00:16:04,560 --> 00:16:07,920 Speaker 1: one planet we have, sorry elon for now, the one planet. 276 00:16:08,880 --> 00:16:13,560 Speaker 1: But if, for instance, the temperatures rose because of carbon emissions, 277 00:16:13,680 --> 00:16:17,080 Speaker 1: and I've got to believe that that would cause something 278 00:16:17,200 --> 00:16:20,240 Speaker 1: like NonStop rain for six weeks, that would gold the 279 00:16:20,280 --> 00:16:23,840 Speaker 1: planet or something. We don't know what the self correction is, 280 00:16:24,640 --> 00:16:30,680 Speaker 1: like the paularlick garbage. Yeah, what his name is? Well 281 00:16:31,040 --> 00:16:33,360 Speaker 1: he's dead now, I you know, I don't know if 282 00:16:34,720 --> 00:16:38,280 Speaker 1: he should be criticized the way he often is just 283 00:16:38,440 --> 00:16:41,120 Speaker 1: because he got it wrong. I mean the trajectory. If 284 00:16:41,120 --> 00:16:44,360 Speaker 1: the trajectory had continued, He's probably right. I mean, you 285 00:16:44,400 --> 00:16:46,360 Speaker 1: get too many people, there's not gonna be enough food 286 00:16:46,360 --> 00:16:49,400 Speaker 1: and water, and what the hell's gonna happen. But the 287 00:16:49,480 --> 00:16:51,760 Speaker 1: point being is that you just can't. You can't. There's 288 00:16:51,800 --> 00:16:54,080 Speaker 1: too many other factors, as you said, to predict these 289 00:16:54,120 --> 00:16:57,520 Speaker 1: things in a straight line, right, and certainly with AI, 290 00:16:57,640 --> 00:17:04,600 Speaker 1: AI is more unpredictable than anything. Really, no clue, no idea, 291 00:17:04,680 --> 00:17:06,880 Speaker 1: nobody has any I'm going to be exciting to live 292 00:17:06,960 --> 00:17:10,080 Speaker 1: through it. I I think if you missed a sec 293 00:17:10,119 --> 00:17:11,760 Speaker 1: making the podcast Armstrong and Getty on. 294 00:17:11,680 --> 00:17:17,359 Speaker 4: Demand Armstrong and Getty, it was more oppressive to their 295 00:17:17,400 --> 00:17:21,400 Speaker 4: women and their countries Iran or the Trump administration here 296 00:17:21,400 --> 00:17:22,440 Speaker 4: in America. 297 00:17:23,000 --> 00:17:26,240 Speaker 1: I think I'm the best, like knowledgeable on the subject. 298 00:17:26,280 --> 00:17:27,960 Speaker 1: So I don't really, well, I'm not a woman. 299 00:17:28,000 --> 00:17:30,480 Speaker 3: I don't think it's my right to say which group 300 00:17:30,680 --> 00:17:33,080 Speaker 3: if the other group is having more or less rights. 301 00:17:33,119 --> 00:17:35,640 Speaker 1: I think that's up to the people it's actually affecting. 302 00:17:36,000 --> 00:17:38,879 Speaker 1: I would say they're equally as oppressive. I feel like 303 00:17:39,720 --> 00:17:43,280 Speaker 1: Trump oppresses us to an extent because like we still 304 00:17:43,320 --> 00:17:45,640 Speaker 1: have like our freedoms and stuff like that, but he's 305 00:17:45,640 --> 00:17:48,520 Speaker 1: trying to get rid of them too. I mean, wasn't 306 00:17:48,560 --> 00:17:51,639 Speaker 1: like up until recently women can open their own like 307 00:17:51,920 --> 00:17:54,359 Speaker 1: credit card as a certain point in the US. I 308 00:17:54,440 --> 00:17:57,240 Speaker 1: really don't know. I'm sorry, I don't know about Iran. 309 00:17:57,720 --> 00:18:00,000 Speaker 1: So I think the takeaway the way I was seeing 310 00:18:00,080 --> 00:18:02,800 Speaker 1: it float around, at least in conservative circles was, you know, 311 00:18:02,920 --> 00:18:06,800 Speaker 1: woke college kids. For me, it was more moronic college kids. 312 00:18:06,840 --> 00:18:10,800 Speaker 1: They clearly like just don't think about the big issues 313 00:18:10,880 --> 00:18:14,080 Speaker 1: or have never been taught about them, or they're just 314 00:18:14,080 --> 00:18:18,760 Speaker 1: just unaware they're they're and not well spoken. In no, no, 315 00:18:18,800 --> 00:18:23,639 Speaker 1: they just come off as dumb people that far as children. Yeah, yeah, yeah, 316 00:18:23,760 --> 00:18:27,159 Speaker 1: you'd expect that answer out of a ten year old, 317 00:18:27,440 --> 00:18:31,240 Speaker 1: not a twenty year old who's made it to college. Yeah, 318 00:18:31,280 --> 00:18:34,240 Speaker 1: I mean, even as a confession of ignorance. If they 319 00:18:34,240 --> 00:18:38,040 Speaker 1: were to say, that's a really interesting question, I'm afraid 320 00:18:38,080 --> 00:18:41,199 Speaker 1: I haven't really studied it. As opposed, I don't know 321 00:18:41,320 --> 00:18:45,440 Speaker 1: about things like this that we're talking about. I mean, 322 00:18:45,440 --> 00:18:53,600 Speaker 1: they sound like little children, yeah, which gets to there's 323 00:18:53,920 --> 00:18:56,439 Speaker 1: practically no standard to come out of high school as 324 00:18:56,480 --> 00:18:59,800 Speaker 1: a high school graduate, anymore, to get from first grade 325 00:18:59,800 --> 00:19:01,520 Speaker 1: to second grade to all the way through to graduate 326 00:19:01,640 --> 00:19:04,399 Speaker 1: high school, there's just you can't be held back. It 327 00:19:04,440 --> 00:19:06,760 Speaker 1: doesn't matter how little you learn, they pass you along. 328 00:19:06,800 --> 00:19:09,000 Speaker 1: I know this for a freaking fact, and it makes 329 00:19:09,040 --> 00:19:11,320 Speaker 1: me insanely angry. I could talk about this rest of 330 00:19:11,320 --> 00:19:13,880 Speaker 1: the show. They have no standards, and they won't even 331 00:19:13,880 --> 00:19:17,679 Speaker 1: tell the parents, right, It's just it's so maddening. And 332 00:19:17,720 --> 00:19:19,720 Speaker 1: then they head off to college, and college apparently it's 333 00:19:19,720 --> 00:19:21,960 Speaker 1: the same way. I don't have that experience with college, 334 00:19:22,040 --> 00:19:24,360 Speaker 1: but apparently college is the same way. Just you can 335 00:19:24,480 --> 00:19:26,639 Speaker 1: easily get a's and b's, you hardly ever go to class. 336 00:19:26,640 --> 00:19:28,720 Speaker 1: You I hardly have any homework. And then you graduate 337 00:19:28,760 --> 00:19:30,879 Speaker 1: with a college degree. So now you're twenty two with 338 00:19:30,960 --> 00:19:32,760 Speaker 1: a high school diploma and a college degree and you 339 00:19:32,760 --> 00:19:35,960 Speaker 1: don't know a freaking thing well right, And what's really 340 00:19:36,000 --> 00:19:39,200 Speaker 1: interesting and unfortunate is you've got employers of all sorts 341 00:19:39,240 --> 00:19:41,640 Speaker 1: across the country. You say, yeah, that college diploma doesn't 342 00:19:41,640 --> 00:19:45,040 Speaker 1: mean squat. These people don't know anything at all, But 343 00:19:45,160 --> 00:19:48,359 Speaker 1: that word is not filtered into the culture, especially the 344 00:19:48,400 --> 00:19:52,560 Speaker 1: parents who are still absolutely intent on, you know, selling 345 00:19:52,640 --> 00:19:55,720 Speaker 1: body and soul and mortgaging house to get kid into 346 00:19:56,320 --> 00:20:00,720 Speaker 1: quote unquote good college. It really is in city. It's 347 00:20:00,840 --> 00:20:06,080 Speaker 1: decadent is the word. We're just not a serious country. Uh. 348 00:20:06,400 --> 00:20:08,119 Speaker 1: We're not going to talk about that. We're going to 349 00:20:08,160 --> 00:20:10,040 Speaker 1: talk about this unless you want to talk about that more. 350 00:20:10,240 --> 00:20:13,960 Speaker 1: We can talk about anything. Those kids, those college kids, 351 00:20:14,000 --> 00:20:15,880 Speaker 1: you might as well use the term kids because they 352 00:20:15,880 --> 00:20:21,919 Speaker 1: sound like little kids. Yeah, you ask a grown up question. Boy, 353 00:20:22,080 --> 00:20:26,480 Speaker 1: I that Yeah, that was the shocking part to me. 354 00:20:27,600 --> 00:20:30,280 Speaker 1: I think about the guys I knew in school, and 355 00:20:30,359 --> 00:20:33,920 Speaker 1: girls for that matter, You wouldn't get any of that. Well, 356 00:20:33,960 --> 00:20:36,720 Speaker 1: imagine if you did that on any topic in the forties. 357 00:20:37,800 --> 00:20:41,560 Speaker 1: Sure right, Yeah, I wonder what school that was at. 358 00:20:43,640 --> 00:20:51,520 Speaker 1: Sure wasn't a middle school. Most people have one A 359 00:20:51,680 --> 00:20:53,960 Speaker 1: parent who can't get through a phone call without a 360 00:20:54,000 --> 00:20:58,600 Speaker 1: cutting remark, a sibling whose entire personality seems engineered to 361 00:20:58,640 --> 00:21:02,960 Speaker 1: cause problems. A grown child who drains every gathering of 362 00:21:02,960 --> 00:21:07,600 Speaker 1: its energy. New research. New research suggests these relatives aren't 363 00:21:07,640 --> 00:21:10,640 Speaker 1: just making life more frustrating for other family members. They 364 00:21:10,680 --> 00:21:13,960 Speaker 1: may be causing you to age faster too. That's funny. 365 00:21:14,000 --> 00:21:19,320 Speaker 1: I don't have that I currently, thank God right, no 366 00:21:19,359 --> 00:21:24,280 Speaker 1: neither do I, but I know people who do. In 367 00:21:24,280 --> 00:21:28,600 Speaker 1: including you, might marry the most wonderful person in the world, 368 00:21:28,680 --> 00:21:33,000 Speaker 1: but the crew they bring along with them might be 369 00:21:33,080 --> 00:21:39,840 Speaker 1: a tad trying. So this is so interesting, and I 370 00:21:39,880 --> 00:21:41,880 Speaker 1: tell you what, I hate to skip to the end, 371 00:21:41,960 --> 00:21:47,960 Speaker 1: but it may convince you that those toxic relationships that 372 00:21:48,040 --> 00:21:51,680 Speaker 1: you just gritch your teeth and get through, maybe how 373 00:21:51,720 --> 00:21:55,440 Speaker 1: to save yourself and get through them less or try 374 00:21:55,480 --> 00:21:58,560 Speaker 1: to spend less time. Nearly one in three people as 375 00:21:58,600 --> 00:22:02,600 Speaker 1: at least one hassle, which is what they gave a 376 00:22:02,600 --> 00:22:05,600 Speaker 1: good moniker for that person in your life, someone who 377 00:22:05,640 --> 00:22:11,320 Speaker 1: regularly causes problems or makes life difficult. Family members are 378 00:22:11,400 --> 00:22:17,320 Speaker 1: the most common and biologically costly type. They cause actual 379 00:22:17,520 --> 00:22:24,600 Speaker 1: biological accelerated biological aging when your family members more than coworkers, 380 00:22:24,640 --> 00:22:28,239 Speaker 1: more than neighbors or even your spouse. It's like that 381 00:22:28,760 --> 00:22:33,440 Speaker 1: next tier out showed the strongest links to accelerated biological 382 00:22:33,480 --> 00:22:36,880 Speaker 1: aging when they are regularly hassled, burdened, or created problems 383 00:22:36,920 --> 00:22:39,800 Speaker 1: for someone in their network. Having a family member in 384 00:22:39,840 --> 00:22:43,280 Speaker 1: that category was associated with a biological age roughly a 385 00:22:43,359 --> 00:22:45,600 Speaker 1: year older than peers of the same calendar age and 386 00:22:46,040 --> 00:22:51,639 Speaker 1: with cells aging measurably faster. So is that an evolutionary thing? 387 00:22:51,680 --> 00:22:54,840 Speaker 1: And we're just so concerned that the people closest to 388 00:22:54,920 --> 00:22:58,280 Speaker 1: us are not on board with the tribe what the 389 00:22:58,280 --> 00:23:04,040 Speaker 1: tribe needs to do to survive, and think it's stressful. Yeah, 390 00:23:04,480 --> 00:23:07,240 Speaker 1: I stress tears apart the tellomeres at the ends of 391 00:23:07,280 --> 00:23:09,359 Speaker 1: the cells. I guess I can't comment on this because 392 00:23:09,359 --> 00:23:13,040 Speaker 1: I don't have the situation, but I feel like, possibly 393 00:23:13,080 --> 00:23:15,960 Speaker 1: because of doing this job, I could just let it 394 00:23:16,040 --> 00:23:17,679 Speaker 1: roll off me. It's not going to stress me out. 395 00:23:17,680 --> 00:23:20,040 Speaker 1: It's just all right, you're in college now, and that's 396 00:23:20,040 --> 00:23:23,719 Speaker 1: what you think. I'll check in with you in ten years. Yeah, 397 00:23:23,840 --> 00:23:28,679 Speaker 1: I would agree. Yeah, But I mean like the you know, 398 00:23:29,080 --> 00:23:32,800 Speaker 1: when you're visiting them, you're there for Christmas, Thanksgiving, a 399 00:23:32,920 --> 00:23:35,479 Speaker 1: phone call, whatever, you know, they're going to say something 400 00:23:35,600 --> 00:23:39,080 Speaker 1: nasty and out there it was well, and it's all, uh, 401 00:23:39,600 --> 00:23:41,760 Speaker 1: it's all about the degree too, how much, how much? 402 00:23:41,800 --> 00:23:46,879 Speaker 1: How often? How adamant? Yeah. Interestingly enough, the cliche of 403 00:23:46,960 --> 00:23:50,680 Speaker 1: the hen pecked spouse or whatever didn't seem to have 404 00:23:50,840 --> 00:23:55,240 Speaker 1: nearly the same significant biological aging effect as the family 405 00:23:55,359 --> 00:23:58,280 Speaker 1: ties According to the study, the family ties hardest egsit 406 00:23:58,320 --> 00:24:01,960 Speaker 1: and loaded with the most obligation parents, children, and siblings, 407 00:24:02,000 --> 00:24:05,040 Speaker 1: maybe doing the most quiet biological damage. You know, I 408 00:24:05,040 --> 00:24:08,600 Speaker 1: can think of an example now. I was in a 409 00:24:08,640 --> 00:24:12,040 Speaker 1: relationship for a while years ago with somebody who was 410 00:24:12,160 --> 00:24:21,960 Speaker 1: quite woke, and it stressed me out so much. It 411 00:24:22,080 --> 00:24:25,000 Speaker 1: probably cut a decade off my life. I probably got 412 00:24:25,000 --> 00:24:29,520 Speaker 1: a year ago because because of that relationship. Just let's 413 00:24:29,520 --> 00:24:32,720 Speaker 1: come out with it. You dated Greta Tunberg for here, 414 00:24:33,960 --> 00:24:37,480 Speaker 1: you and little Greta squire and her around town taking 415 00:24:37,520 --> 00:24:41,520 Speaker 1: the occasional voyage, you know, bring crap to the Palestinians. 416 00:24:41,520 --> 00:24:43,679 Speaker 1: Me and me and aoc were a couple for a 417 00:24:43,680 --> 00:24:46,600 Speaker 1: cup of coffee and it was really tiring, but yeah, 418 00:24:46,840 --> 00:24:49,600 Speaker 1: it was funny. Yeah. And whenever it would come up 419 00:24:49,640 --> 00:24:51,320 Speaker 1: and they'd see something like that, it was just it 420 00:24:51,400 --> 00:24:53,679 Speaker 1: was beyond like I don't agree with that. It was 421 00:24:53,760 --> 00:24:58,200 Speaker 1: just like I could feel my telems shortening. Yeah. Yeah. 422 00:24:58,560 --> 00:25:02,160 Speaker 1: Non family hastlers, such as coworkers or acquaintances also showed 423 00:25:02,160 --> 00:25:05,919 Speaker 1: a significant association of the two agent clocks, but not 424 00:25:06,080 --> 00:25:09,440 Speaker 1: nearly as bad as parents, siblings, and you know, children. 425 00:25:09,520 --> 00:25:12,320 Speaker 1: Another thing, this is probably a personality trait with me 426 00:25:12,560 --> 00:25:15,640 Speaker 1: more than anything else. I'm more uncomfortable for the other 427 00:25:15,720 --> 00:25:18,000 Speaker 1: people in the room than I am myself. I think 428 00:25:18,040 --> 00:25:20,200 Speaker 1: because I feel like I can handle this, I can 429 00:25:20,240 --> 00:25:26,679 Speaker 1: just ignore your stupid opinion. But it really bothers me 430 00:25:26,880 --> 00:25:29,240 Speaker 1: that these other people around here are having to hear this. 431 00:25:30,359 --> 00:25:34,439 Speaker 1: Here's some interesting demographic info. Hassler exposure also turns out 432 00:25:34,480 --> 00:25:39,760 Speaker 1: to be unequally distributed, tracking closely with existing vulnerabilities. Women 433 00:25:39,880 --> 00:25:42,840 Speaker 1: were more likely to report having hasslers than men. People 434 00:25:42,880 --> 00:25:48,160 Speaker 1: with more adverse childhood experiences showed higher hassler accounts in adulthood. Well, 435 00:25:48,359 --> 00:25:51,560 Speaker 1: they come from a somewhat dysfunctional family that continues to 436 00:25:51,680 --> 00:25:54,359 Speaker 1: be Yeah, that's it all chicken egg thing right there. 437 00:25:54,800 --> 00:25:58,800 Speaker 1: Daily smokers and those in poorer health also reported more hasslers. 438 00:25:58,840 --> 00:26:05,840 Speaker 1: Daily smokers, yeah with Trump, I don't suppose you've lucked 439 00:26:05,840 --> 00:26:09,040 Speaker 1: into your kid's problem yet. It's been too busy. Oh 440 00:26:09,119 --> 00:26:16,080 Speaker 1: my god, exactly, your chains smoking uglier than a mud 441 00:26:16,080 --> 00:26:20,959 Speaker 1: fence mother in law, Yeah, boy, talking about she always 442 00:26:21,119 --> 00:26:26,320 Speaker 1: like this. In short, people already dealing with the most 443 00:26:26,400 --> 00:26:28,719 Speaker 1: also tend to have more difficult people in their lives. 444 00:26:28,960 --> 00:26:31,560 Speaker 1: A compounding effect the author is described as a form 445 00:26:31,600 --> 00:26:35,960 Speaker 1: of Oh good lord, relational inequality. Please shut up. You 446 00:26:36,040 --> 00:26:37,960 Speaker 1: quit talking to me like that. I'm gonna that little 447 00:26:38,040 --> 00:26:40,800 Speaker 1: that little hole you talk to me through your your throat. 448 00:26:40,800 --> 00:26:42,679 Speaker 1: I'm gonna put a marble in there. That's what I'm 449 00:26:42,720 --> 00:26:45,399 Speaker 1: gonna do. I'm gonna shut you up. Is he still 450 00:26:45,440 --> 00:26:50,959 Speaker 1: in that dead end? Jab? Yes, mom, he finds it satisfying. 451 00:26:51,000 --> 00:26:53,680 Speaker 1: He enjoys his work. It's a dead end, that's all 452 00:26:53,720 --> 00:26:58,200 Speaker 1: I'm saying. But you really failed with that one, did you? Wow? 453 00:26:58,480 --> 00:27:05,360 Speaker 1: Crusty the clown on the line. Biological aging was far 454 00:27:05,400 --> 00:27:08,919 Speaker 1: from the only health domain effected. Each additional hassler was 455 00:27:08,960 --> 00:27:12,400 Speaker 1: associated with higher depression and anxieties, course, poorous self rated 456 00:27:12,720 --> 00:27:16,119 Speaker 1: mental health, and physical health, higher BMI worse wasist to 457 00:27:16,200 --> 00:27:20,359 Speaker 1: hip ratios my waist to hip ratio coming in for kicking, 458 00:27:20,800 --> 00:27:23,720 Speaker 1: and higher rates of multiple chronic conditions occurring at the 459 00:27:23,800 --> 00:27:28,359 Speaker 1: same time. Inflammation markers from the same DNA samples followed suit. 460 00:27:29,680 --> 00:27:32,280 Speaker 1: Chronic social stress appears to put the body's internal alarm 461 00:27:32,320 --> 00:27:35,280 Speaker 1: system on a slow burn, repeatedly triggering the release of 462 00:27:35,320 --> 00:27:39,520 Speaker 1: stress hormones like cortisol and its evil cousin adrenaline. Over time, 463 00:27:39,520 --> 00:27:44,520 Speaker 1: the persistent activation feeds inflammation at the molecular level, wearing 464 00:27:44,520 --> 00:27:49,960 Speaker 1: down the body across multiple systems at once. Wow, what 465 00:27:50,119 --> 00:27:53,000 Speaker 1: is my hip to waste ratio supposed to be? I 466 00:27:53,000 --> 00:27:56,680 Speaker 1: don't know two to one. No, I don't. I don't 467 00:27:56,680 --> 00:28:00,680 Speaker 1: have any idea varies from Fellers in gals. I never 468 00:28:00,760 --> 00:28:02,639 Speaker 1: measured that. I don't have any idea where I am 469 00:28:02,640 --> 00:28:06,359 Speaker 1: on that. So I'll tell you what it And I 470 00:28:06,359 --> 00:28:11,879 Speaker 1: think a lot of people know this instinctively. Those dysfunctional 471 00:28:12,200 --> 00:28:18,880 Speaker 1: relationships are not just unpleasant, they're wearing you down. Yeah, 472 00:28:18,920 --> 00:28:22,000 Speaker 1: that's interesting again, shortening your life for God's sake. I 473 00:28:22,040 --> 00:28:25,040 Speaker 1: should take this to heart because I do see I 474 00:28:25,119 --> 00:28:27,480 Speaker 1: hear other people complain about it, and maybe I don't 475 00:28:27,480 --> 00:28:29,600 Speaker 1: realize how awful it is because I've never had it, 476 00:28:30,160 --> 00:28:32,080 Speaker 1: like people talking about like they got to go visit 477 00:28:32,119 --> 00:28:34,879 Speaker 1: their mom or whatever. It's just like, oh my god, 478 00:28:35,680 --> 00:28:36,960 Speaker 1: can I get through this weekend? 479 00:28:37,160 --> 00:28:37,399 Speaker 3: You know? 480 00:28:37,480 --> 00:28:42,800 Speaker 1: And I've never had that, Thank God. But Okay, there's 481 00:28:42,800 --> 00:28:46,160 Speaker 1: a reason why it people talk that way. It's actually 482 00:28:46,240 --> 00:28:47,400 Speaker 1: damaging to your health. 483 00:28:48,520 --> 00:28:48,800 Speaker 4: Yeah. 484 00:28:48,880 --> 00:28:51,800 Speaker 1: I know a handful of people who are lovely people 485 00:28:52,040 --> 00:28:55,400 Speaker 1: who came from pretty serious dysfunction and have to stay 486 00:28:55,400 --> 00:28:58,479 Speaker 1: in touch to some extent, and oh yeah, I can 487 00:28:58,520 --> 00:29:04,920 Speaker 1: practically see it shortening lifespans. Don't think about it. Yeah, 488 00:29:04,920 --> 00:29:07,280 Speaker 1: I'm there, hip the waist ratios all out of whack, 489 00:29:07,440 --> 00:29:09,800 Speaker 1: play solid nutty and then you and then what are 490 00:29:09,800 --> 00:29:12,160 Speaker 1: you gonna do? Well, if you're in a Hollywood star 491 00:29:12,320 --> 00:29:15,600 Speaker 1: you hit the ozempic. Apparently Hollywood has gone wild with 492 00:29:15,600 --> 00:29:17,520 Speaker 1: the weight loss drugs. You got women who one hundred 493 00:29:17,520 --> 00:29:19,840 Speaker 1: and ten pounds gobbling the stuff down. Now they look 494 00:29:19,880 --> 00:29:22,440 Speaker 1: like skeletons. So the doctors will give it to you 495 00:29:22,960 --> 00:29:24,880 Speaker 1: or can you order it without a doctor? At this point, 496 00:29:25,160 --> 00:29:28,920 Speaker 1: I looked into it. Look at your aging Hollywood stars especially, 497 00:29:29,200 --> 00:29:31,960 Speaker 1: you can find a doctor will do freaking anything. Okay, 498 00:29:32,360 --> 00:29:34,480 Speaker 1: you get Matthew Perry's doctor, and you're off to the 499 00:29:34,560 --> 00:29:40,960 Speaker 1: races for Michael Jackson's right, Speaking of a woke coming 500 00:29:41,040 --> 00:29:43,160 Speaker 1: up an hour four, I'd like you to turn me 501 00:29:43,200 --> 00:29:46,360 Speaker 1: into a white woman and then give me surgical anesthesia 502 00:29:46,480 --> 00:29:49,320 Speaker 1: so I can sleep all righty, Michael, let's get on that. 503 00:29:53,480 --> 00:29:56,239 Speaker 1: Change me from black to white, remove my nose, and 504 00:29:56,280 --> 00:30:01,719 Speaker 1: give me some elephant tranquilizers. Dumb, I'm on it. Why 505 00:30:01,760 --> 00:30:05,920 Speaker 1: would you like to pick that up coming up in 506 00:30:06,080 --> 00:30:08,520 Speaker 1: our four. I'll put it off till then because we 507 00:30:08,560 --> 00:30:14,440 Speaker 1: were just talking about Wolke. One of the best exclamation exclamations. Oof, 508 00:30:14,640 --> 00:30:16,920 Speaker 1: that's an exclamation one of the best. 509 00:30:17,160 --> 00:30:17,480 Speaker 2: Damn. 510 00:30:18,600 --> 00:30:22,080 Speaker 1: One of the best explanations for what drives the whole 511 00:30:22,080 --> 00:30:26,080 Speaker 1: woke thing. It's really interesting. It's about the spiritual deficit, 512 00:30:26,120 --> 00:30:27,840 Speaker 1: but in a way I'd never seen it put before. 513 00:30:27,840 --> 00:30:29,680 Speaker 1: So wait to that now or four among other things. 514 00:30:29,720 --> 00:30:31,640 Speaker 1: Have you ever missed this segment? Get the podcast? The 515 00:30:31,680 --> 00:30:36,960 Speaker 1: Oscar nominated podcast Armstrong Andeddy on Demand are strong. 516 00:30:37,040 --> 00:30:42,000 Speaker 2: He first time since twenty twelve that there are no 517 00:30:42,160 --> 00:30:47,640 Speaker 2: British actors nominated for Best Actor or Best Actress. Yeah, 518 00:30:47,800 --> 00:30:49,400 Speaker 2: British spokespersons. 519 00:30:48,840 --> 00:30:56,000 Speaker 1: Said, yeah, well at least we arrest our pedophiles, so yeah, wow, 520 00:30:56,120 --> 00:31:00,719 Speaker 1: Actually you don't arrest gang rapists if they're Pakistanis in Britain. 521 00:31:01,040 --> 00:31:04,080 Speaker 1: So back to you, Connan, Sarah and I've also had 522 00:31:04,080 --> 00:31:08,200 Speaker 1: an Epstein joke at the very beginning, once again implying 523 00:31:08,240 --> 00:31:09,960 Speaker 1: that the warn Iran is to cover up for the 524 00:31:10,000 --> 00:31:18,800 Speaker 1: Epstein files. Wow. Back to the Oscars briefly. Sean Penn 525 00:31:18,960 --> 00:31:21,440 Speaker 1: won the Oscar last Night for Best Supporting Actor for 526 00:31:21,520 --> 00:31:24,720 Speaker 1: his role in One Battle after Another, and he is 527 00:31:24,840 --> 00:31:27,160 Speaker 1: something in that movie. But he didn't attend the Oscars. 528 00:31:27,160 --> 00:31:29,800 Speaker 1: See he didn't get his speech because he's in Ukraine 529 00:31:29,840 --> 00:31:32,960 Speaker 1: trying to draw people's attention to that war, feeling like 530 00:31:33,000 --> 00:31:35,000 Speaker 1: it's being forgotten, which is a good expenditure of your 531 00:31:35,000 --> 00:31:38,240 Speaker 1: time as opposed to sitting at the Oscars and doing 532 00:31:38,280 --> 00:31:42,000 Speaker 1: whatever you do there. He's only the fourth male performer 533 00:31:42,000 --> 00:31:45,760 Speaker 1: ever to win three acting Oscars. Doesn't very often win 534 00:31:45,800 --> 00:31:50,240 Speaker 1: three Daniel day Lewis, Jack Nicholson, Walter Brennan and now 535 00:31:50,280 --> 00:31:55,200 Speaker 1: Sean Penn. Not that that means anything. The you know, 536 00:31:55,280 --> 00:32:00,000 Speaker 1: the trajectory of all this sort of thing was gonna happen, 537 00:32:00,080 --> 00:32:02,800 Speaker 1: and whether they got political or not, I mean, because 538 00:32:02,800 --> 00:32:07,160 Speaker 1: we just have so many different entertainment options happening all 539 00:32:07,200 --> 00:32:09,240 Speaker 1: at the same time, you know, I think as part 540 00:32:09,240 --> 00:32:10,400 Speaker 1: of it, and so I was going to head this 541 00:32:10,440 --> 00:32:14,520 Speaker 1: direction anyway. But I'm surprised that it still has any 542 00:32:14,560 --> 00:32:17,440 Speaker 1: heft whatsoever, because I feel like the thing that we 543 00:32:17,560 --> 00:32:21,800 Speaker 1: learned coming out of COVID and all the streaming shows 544 00:32:21,800 --> 00:32:24,400 Speaker 1: and everything like that is there are lots of good 545 00:32:24,400 --> 00:32:29,160 Speaker 1: writers and directors and actresses and actors and just screenplay 546 00:32:29,200 --> 00:32:31,520 Speaker 1: right now, there's tons of people that can do that really, 547 00:32:31,560 --> 00:32:34,800 Speaker 1: really well. It's not a tiny, tiny little group of elite. 548 00:32:35,040 --> 00:32:37,560 Speaker 1: It's like every town has got a bunch that are amazing. 549 00:32:38,080 --> 00:32:42,480 Speaker 1: That's an excellent point. Oh yeah, the creativity out there. 550 00:32:43,040 --> 00:32:45,680 Speaker 1: It used to be there were gatekeepers, yes, and pyramid 551 00:32:45,720 --> 00:32:47,280 Speaker 1: you had to rise to the top of the pyramid 552 00:32:47,400 --> 00:32:50,600 Speaker 1: before anybody ever saw your work in any significant way. 553 00:32:50,640 --> 00:32:53,160 Speaker 1: It's not true anymore, and a lot of money's gone 554 00:32:53,160 --> 00:32:56,360 Speaker 1: out of it. I mean, I think you're low budget 555 00:32:56,360 --> 00:32:58,480 Speaker 1: filmmakers are just doing it because they love to do it, 556 00:33:00,680 --> 00:33:04,000 Speaker 1: which is reason enough. But yeah, completely different, and yet 557 00:33:04,040 --> 00:33:09,560 Speaker 1: the pretension and self aggrandizement continues. Yeah, to a very 558 00:33:09,560 --> 00:33:14,120 Speaker 1: smart go ahead, to a very small audience. I'm embarrassed 559 00:33:14,480 --> 00:33:17,240 Speaker 1: to think about the way I used to watch the Oscars. 560 00:33:18,600 --> 00:33:21,720 Speaker 1: It's just embarrassing. I mean, it's who gives a crap 561 00:33:21,760 --> 00:33:25,680 Speaker 1: what any of those people think about anything. It's a 562 00:33:25,680 --> 00:33:28,520 Speaker 1: perfect example of people who think emotionally versus people who 563 00:33:28,520 --> 00:33:30,520 Speaker 1: think logically. And we're all a mix, of course, but 564 00:33:30,920 --> 00:33:35,600 Speaker 1: I mean Hollywood types, the progressive Hollywood are entirely emotional thinkers. 565 00:33:35,960 --> 00:33:41,719 Speaker 1: Because somebody. Surely, if anybody said, hey, given the incredibly 566 00:33:41,760 --> 00:33:45,360 Speaker 1: diverse ways people entertain themselves and how movies have less 567 00:33:45,400 --> 00:33:50,120 Speaker 1: cultural cachet than they used to, we probably ought to 568 00:33:50,200 --> 00:33:52,880 Speaker 1: not I don't know, punch half of America in the 569 00:33:53,000 --> 00:33:56,680 Speaker 1: face every time we come face to face with them. 570 00:33:56,920 --> 00:33:59,520 Speaker 1: I mean, just for business reasons. Yeah, I'll be interested 571 00:33:59,560 --> 00:34:01,640 Speaker 1: to see what the ratings where, because they I had 572 00:34:01,640 --> 00:34:03,800 Speaker 1: the list somewhere of how much it's dropped off. I mean, 573 00:34:03,960 --> 00:34:06,960 Speaker 1: they were still getting fifty million people to tune into 574 00:34:06,960 --> 00:34:10,000 Speaker 1: that show as recently as twenty fifteen, I think, and 575 00:34:10,040 --> 00:34:12,880 Speaker 1: then it was in the low twenties last year. Oh, 576 00:34:12,880 --> 00:34:14,600 Speaker 1: but it was in the teams this year. And then 577 00:34:14,640 --> 00:34:17,640 Speaker 1: it goes to YouTube in a couple of years, and 578 00:34:17,680 --> 00:34:19,960 Speaker 1: then it will just disappear, really kind of as a thing. 579 00:34:20,600 --> 00:34:22,160 Speaker 1: You'll hear about it on the radio, read about it 580 00:34:22,160 --> 00:34:25,440 Speaker 1: in the paper, online somewhere, who won what if you 581 00:34:25,480 --> 00:34:27,560 Speaker 1: even click on it? But it will not be an 582 00:34:27,600 --> 00:34:31,920 Speaker 1: event if it was a mostly pretension free just list 583 00:34:31,960 --> 00:34:37,279 Speaker 1: of Hey, here's five unbelievable documentaries, and here's the one 584 00:34:37,320 --> 00:34:39,320 Speaker 1: we picked at when but they're all wonderful, And the 585 00:34:39,360 --> 00:34:42,560 Speaker 1: same thing with dramas and comedies or whatever. I think 586 00:34:42,560 --> 00:34:45,200 Speaker 1: that would get a huge audience because we're still going 587 00:34:45,280 --> 00:34:50,560 Speaker 1: to take in that commercial art form. But good lord, 588 00:34:50,640 --> 00:34:53,960 Speaker 1: the form it takes is just insufferable. We watched Marty 589 00:34:54,040 --> 00:34:56,839 Speaker 1: Supreme over the weekend. The thing my high schooler hated 590 00:34:56,880 --> 00:34:59,080 Speaker 1: the most was the fact that Timothy shaw May was 591 00:34:59,080 --> 00:35:01,440 Speaker 1: having sex with when the Paltrow in the movie. It's like, 592 00:35:01,480 --> 00:35:04,600 Speaker 1: she's like sixty and what is he twenty five? That's 593 00:35:04,600 --> 00:35:07,719 Speaker 1: what bothered him the most of the movie. Kind of 594 00:35:07,719 --> 00:35:10,920 Speaker 1: bothers me. I would take one for the team if 595 00:35:11,320 --> 00:35:13,680 Speaker 1: if she promised to keep her mouth shut. Yeah, no kidding, 596 00:35:13,840 --> 00:35:15,520 Speaker 1: no kidding. If you missed a segment of the show, 597 00:35:15,560 --> 00:35:20,400 Speaker 1: get the podcast Armstrong and Getty on demand. Armstrong and 598 00:35:20,480 --> 00:35:20,840 Speaker 1: Getty