1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,240 --> 00:00:10,280 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty. 3 00:00:10,200 --> 00:00:17,280 Speaker 2: Armstrong and Getty and no He Armstrong and Yetty. 4 00:00:23,720 --> 00:00:26,720 Speaker 3: The hotel chain Holiday in Express has unveiled a new 5 00:00:26,840 --> 00:00:29,479 Speaker 3: scent based alarm clock that will wake up guests with 6 00:00:29,600 --> 00:00:34,320 Speaker 3: a simulated smell of breakfast. Because what weary traveler doesn't 7 00:00:34,400 --> 00:00:39,840 Speaker 3: love to wake up to a lie? 8 00:00:44,360 --> 00:00:46,080 Speaker 2: That's funny. When I was hiking with my son, I 9 00:00:46,120 --> 00:00:49,839 Speaker 2: said something to him, and he said, don't turn this 10 00:00:49,920 --> 00:00:54,880 Speaker 2: into a forest of lies, which is a Simpsons reference. 11 00:00:55,800 --> 00:00:58,880 Speaker 2: So do you want a philosophical AI or nuts and 12 00:00:58,920 --> 00:01:02,440 Speaker 2: bolts fact I think I'll start with nuts and bolts factual. 13 00:01:02,600 --> 00:01:04,600 Speaker 2: We do a lot of philosophical although I do want 14 00:01:04,600 --> 00:01:06,600 Speaker 2: to get to that at some point. So in a 15 00:01:06,880 --> 00:01:11,600 Speaker 2: business section today of the Washington Post, AI will trigger 16 00:01:11,720 --> 00:01:17,680 Speaker 2: financial calamity. So that got my attention. It's funny. We 17 00:01:17,680 --> 00:01:19,480 Speaker 2: were talking about this just the other day. I texted 18 00:01:19,520 --> 00:01:22,920 Speaker 2: in my own personal life, I texted Joe like, hey, 19 00:01:22,920 --> 00:01:24,600 Speaker 2: I just checked my four A one K because I 20 00:01:24,600 --> 00:01:27,280 Speaker 2: don't check it on a regular basis. Holy crap, you know, 21 00:01:27,319 --> 00:01:29,839 Speaker 2: because this stock market has been going up setting records 22 00:01:29,840 --> 00:01:31,600 Speaker 2: every single day. I looked at my frog k and 23 00:01:31,640 --> 00:01:34,080 Speaker 2: it was like, this is incredible, and we're both discussing 24 00:01:34,120 --> 00:01:37,240 Speaker 2: how there's got to be a correction coming. What you know, 25 00:01:37,800 --> 00:01:40,560 Speaker 2: a smart person might think, you know, maybe I'll put 26 00:01:40,560 --> 00:01:42,920 Speaker 2: this in something kind of not volatile and wait for 27 00:01:42,959 --> 00:01:45,600 Speaker 2: the correction to come. Of course, that's how you miss 28 00:01:45,600 --> 00:01:48,720 Speaker 2: out on a lot of rises, right by the dip, 29 00:01:49,000 --> 00:01:52,840 Speaker 2: by the nip. All right, AI is going to cause 30 00:01:52,840 --> 00:01:57,200 Speaker 2: a financial calamity, is what it says. And let me 31 00:01:57,280 --> 00:02:00,240 Speaker 2: read this to you. The house of court, the and 32 00:02:00,280 --> 00:02:03,080 Speaker 2: this is from one expert researcher at one of your 33 00:02:03,080 --> 00:02:06,640 Speaker 2: big AI groups. The house of cards is going to 34 00:02:06,640 --> 00:02:09,160 Speaker 2: start crumbling. The amount of money being spent is not 35 00:02:09,280 --> 00:02:13,600 Speaker 2: proportionate to the money that's coming in. These perspectives are 36 00:02:13,639 --> 00:02:16,840 Speaker 2: all about how based on the money that's been spent. 37 00:02:16,840 --> 00:02:18,880 Speaker 2: And we've talked about this a lot of times. Nvidia 38 00:02:18,960 --> 00:02:22,360 Speaker 2: agreed to invest up to a one hundred billion dollars 39 00:02:23,040 --> 00:02:25,320 Speaker 2: or that's about the size of New York City's entire 40 00:02:25,440 --> 00:02:27,520 Speaker 2: twenty twenty four budget, to give you an idea how 41 00:02:27,600 --> 00:02:30,680 Speaker 2: much money that is in open AI. So in Vidia, 42 00:02:30,800 --> 00:02:33,799 Speaker 2: the chip maker, is investing in one of the AI 43 00:02:34,120 --> 00:02:38,880 Speaker 2: corporations and providing it with hard to get chips. And 44 00:02:41,639 --> 00:02:43,359 Speaker 2: the main point that I'll skip to and then i'll 45 00:02:43,360 --> 00:02:45,880 Speaker 2: get to the details, is the AI industry is now 46 00:02:45,960 --> 00:02:50,440 Speaker 2: buying its own revenue in a circular fashion. They keep buying, 47 00:02:50,520 --> 00:02:53,480 Speaker 2: investing in each other in ways, and we'll invest in 48 00:02:53,520 --> 00:02:56,079 Speaker 2: your chips, and then the chip maker invests in the AI, 49 00:02:56,200 --> 00:02:58,960 Speaker 2: and the AI puts more money into the hardware or 50 00:02:59,000 --> 00:03:01,720 Speaker 2: the big giant thing that's going to power the thing, 51 00:03:02,000 --> 00:03:03,680 Speaker 2: and then the big company that's going to power the 52 00:03:03,680 --> 00:03:06,760 Speaker 2: thing puts more money into groc or whatever. And it's 53 00:03:06,760 --> 00:03:12,639 Speaker 2: just this circular thing, which it could be highly troubling. 54 00:03:16,160 --> 00:03:21,800 Speaker 2: So much of the stock market is AI involved the 55 00:03:23,000 --> 00:03:26,120 Speaker 2: and the everybody's using the example of the dot com 56 00:03:26,200 --> 00:03:28,760 Speaker 2: bubble that happened in the nineties, where there was this 57 00:03:28,840 --> 00:03:31,079 Speaker 2: build up, this build up, this build up a little 58 00:03:31,080 --> 00:03:36,600 Speaker 2: bit similar in that companies were investing in other companies 59 00:03:37,240 --> 00:03:39,240 Speaker 2: and investing in each other, and it just kept building 60 00:03:39,240 --> 00:03:41,680 Speaker 2: and building, and then and then it just collapsed all 61 00:03:41,720 --> 00:03:44,040 Speaker 2: of a sudden. And if you don't remember, there was 62 00:03:44,120 --> 00:03:49,160 Speaker 2: an untested revenue model that they were hoping would come true. Yeah, 63 00:03:49,160 --> 00:03:51,880 Speaker 2: it's similar too similar to ah yeah, and if you 64 00:03:51,920 --> 00:03:54,360 Speaker 2: don't remember, if you weren't alive for it or invested 65 00:03:54,400 --> 00:03:59,560 Speaker 2: at the time, The Nasdaq ultimately lost seventy five percent 66 00:03:59,680 --> 00:04:03,600 Speaker 2: of its value from the peak to the trough. It 67 00:04:03,880 --> 00:04:12,680 Speaker 2: wasn't a minor correction. The percentages on this whole thing 68 00:04:12,840 --> 00:04:19,039 Speaker 2: is just really quite incredible. In Video, for instance, has 69 00:04:19,120 --> 00:04:24,880 Speaker 2: added one hundred and sixty billion dollars. The Rise the 70 00:04:24,920 --> 00:04:26,960 Speaker 2: other day added one hundred and sixty billion dollars to 71 00:04:27,040 --> 00:04:30,960 Speaker 2: in Videa's market value, which is increased by four trillion 72 00:04:31,200 --> 00:04:35,560 Speaker 2: dollars in the last three years. That's an unimaginable amount 73 00:04:35,600 --> 00:04:36,000 Speaker 2: of money. 74 00:04:36,880 --> 00:04:38,599 Speaker 1: It's increased by that much. 75 00:04:38,680 --> 00:04:42,719 Speaker 2: Yes, it's increased by four trillion dollars in three years. 76 00:04:44,000 --> 00:04:45,800 Speaker 2: You can't even wrap your head around that kind of thing. 77 00:04:45,839 --> 00:04:49,039 Speaker 2: And I mentioned earlier as of today, Open Ai, that's 78 00:04:49,080 --> 00:04:52,159 Speaker 2: the chat GPT company. It's privately held, it's not a stock, 79 00:04:52,400 --> 00:04:55,200 Speaker 2: but it reached a valuation of a half a trillion dollars. 80 00:04:55,279 --> 00:04:58,560 Speaker 2: Its most valuable privately held company in the world right now, 81 00:05:00,080 --> 00:05:03,400 Speaker 2: and they're investing in each other. For skeptics, it's another 82 00:05:03,520 --> 00:05:06,400 Speaker 2: dangerous sign of excess because such deals in which players 83 00:05:06,400 --> 00:05:11,080 Speaker 2: in the AI ecosystem are exchanging money are simply financial 84 00:05:11,120 --> 00:05:13,599 Speaker 2: tricks that are camouflaging the evidence of a bubble that 85 00:05:13,720 --> 00:05:17,039 Speaker 2: is about to burst, says this analysis. You know, this 86 00:05:17,120 --> 00:05:20,760 Speaker 2: person's guessing to a certain point, to a certain extent, 87 00:05:20,839 --> 00:05:21,600 Speaker 2: like everybody else. 88 00:05:22,120 --> 00:05:24,960 Speaker 1: That's the annoying part about bubbles is that if you 89 00:05:24,960 --> 00:05:27,680 Speaker 1: could be sure they were bubbles, they would never happen. 90 00:05:28,960 --> 00:05:32,480 Speaker 2: The capital expenditures made by a very small number of companies, 91 00:05:32,520 --> 00:05:36,520 Speaker 2: as we've been talking about, it's like you got Nvidia, 92 00:05:36,760 --> 00:05:39,279 Speaker 2: you got Google, you got Tesla. You just got a 93 00:05:39,320 --> 00:05:41,839 Speaker 2: handful of companies that are driving most of your stock 94 00:05:41,880 --> 00:05:45,760 Speaker 2: market records. The capital expenditures made by this small number 95 00:05:45,760 --> 00:05:48,640 Speaker 2: of companies are now contributing more to GDP than the 96 00:05:48,680 --> 00:05:55,320 Speaker 2: spending of all of America's consumers. This person, this financial 97 00:05:55,360 --> 00:05:57,960 Speaker 2: expert set, I wonder if the black holes ultimately consume 98 00:05:58,000 --> 00:06:00,640 Speaker 2: each other, as well as our economy and power grid 99 00:06:00,680 --> 00:06:04,760 Speaker 2: in the process, which is obviously a highly troubling idea. 100 00:06:05,240 --> 00:06:07,119 Speaker 1: It's a little cataclysmic there, son. 101 00:06:07,400 --> 00:06:09,640 Speaker 2: Yeah. To put it differently, one of the most notorious 102 00:06:09,640 --> 00:06:11,919 Speaker 2: calamities of the dot com era was the collapse of 103 00:06:12,080 --> 00:06:14,920 Speaker 2: pets dot com. Everybody uses that one as the example, 104 00:06:15,520 --> 00:06:19,160 Speaker 2: its peak market value is about three hundred million dollars. 105 00:06:19,680 --> 00:06:22,919 Speaker 2: Since the release of CHATGPT in twenty twenty two, the 106 00:06:23,000 --> 00:06:27,080 Speaker 2: value of America's stock market has risen by Since the 107 00:06:27,160 --> 00:06:31,160 Speaker 2: release of CHATGPT, and it's only been out for three years, 108 00:06:31,839 --> 00:06:38,279 Speaker 2: the stock market has risen by twenty one trillion dollars. 109 00:06:39,400 --> 00:06:42,960 Speaker 2: In a recent piece, Sky from JP Morgan wrote that 110 00:06:43,000 --> 00:06:47,000 Speaker 2: since that time, AI related stocks have accounted for seventy 111 00:06:47,200 --> 00:06:50,560 Speaker 2: five percent of S and P five one hundred returns, 112 00:06:51,000 --> 00:06:54,720 Speaker 2: seventy nine percent of earnings growth, and ninety percent of 113 00:06:54,760 --> 00:06:59,120 Speaker 2: capital spending growth. That is an awful lot on just 114 00:06:59,200 --> 00:07:01,600 Speaker 2: a couple of company, and all of those companies are 115 00:07:01,600 --> 00:07:04,159 Speaker 2: growing around the idea of AI. 116 00:07:05,560 --> 00:07:10,119 Speaker 1: Right. You know, I'm reminded of the whimsical yet dark 117 00:07:10,240 --> 00:07:14,960 Speaker 1: description of the Russian The Russian armed forces is a 118 00:07:15,000 --> 00:07:19,280 Speaker 1: midget with one giant muscled arm is. It's nuclear forces 119 00:07:20,400 --> 00:07:26,160 Speaker 1: is the American economy slash stock market a absolute penniless 120 00:07:26,440 --> 00:07:30,000 Speaker 1: pauper walking around with the hope diamond in his hand, 121 00:07:30,160 --> 00:07:33,920 Speaker 1: and if the hope diamond goes away, it's just yay yay. Yeah. 122 00:07:33,960 --> 00:07:36,320 Speaker 2: Well, obviously, if AI turns out to be what these 123 00:07:36,320 --> 00:07:38,400 Speaker 2: companies think it's going to be, everything will be fine. 124 00:07:38,920 --> 00:07:41,920 Speaker 2: But if it's not, or if it's not very soon, 125 00:07:42,640 --> 00:07:44,440 Speaker 2: that's going to be a problem. I mean, those numbers 126 00:07:44,480 --> 00:07:48,960 Speaker 2: are shocking. A twenty one trillion dollar rise in three years, 127 00:07:49,880 --> 00:07:54,520 Speaker 2: and three quarters to eighty percent of it depending on 128 00:07:54,520 --> 00:07:57,040 Speaker 2: how you count it. Is all these handful of companies 129 00:07:57,080 --> 00:07:58,680 Speaker 2: investing in AI in each other. 130 00:07:59,160 --> 00:08:01,880 Speaker 1: Right, Holy crap sounds a little bubbly. 131 00:08:02,120 --> 00:08:04,480 Speaker 2: God, I would say, so unless it pans out to 132 00:08:04,560 --> 00:08:06,120 Speaker 2: be what they think it's gonna be, then everything will 133 00:08:06,160 --> 00:08:08,600 Speaker 2: be fine. Now to the philosophical thing on AI that 134 00:08:08,680 --> 00:08:10,240 Speaker 2: I wanted to mention. I don't know if you know 135 00:08:10,280 --> 00:08:13,800 Speaker 2: who Sam Harris is. He's a philosopher, podcaster sort of person. 136 00:08:13,840 --> 00:08:15,960 Speaker 2: He's on Bill Mahers Show a lot or whatever. He's 137 00:08:15,960 --> 00:08:18,560 Speaker 2: got a pre popular podcast, and he's got a series 138 00:08:18,600 --> 00:08:22,080 Speaker 2: on right now called The Last Invention where he's interviewing 139 00:08:22,520 --> 00:08:25,400 Speaker 2: all of the top AI minds in the world. And 140 00:08:25,440 --> 00:08:28,000 Speaker 2: he wanted to get some different points of view on 141 00:08:28,080 --> 00:08:31,760 Speaker 2: people with a more positive view of AI, because he's 142 00:08:31,800 --> 00:08:35,520 Speaker 2: a doomer that's what they call, people who lean toward 143 00:08:35,559 --> 00:08:39,040 Speaker 2: the AI is going to ruin humanity and the economy 144 00:08:39,240 --> 00:08:42,120 Speaker 2: and the world and everything else. Why aren't we stopping this? 145 00:08:42,200 --> 00:08:44,760 Speaker 2: Those are dumers. I think I lean more toward doomer 146 00:08:45,280 --> 00:08:47,600 Speaker 2: than the it's gonna cure cancer and people won't have 147 00:08:47,640 --> 00:08:51,600 Speaker 2: to work anymore optimists. And then there's also the crowd 148 00:08:51,600 --> 00:08:53,120 Speaker 2: that just thinks it won't happen, so it won't make 149 00:08:53,160 --> 00:08:55,760 Speaker 2: any difference. But they were making do we have an 150 00:08:55,800 --> 00:08:59,360 Speaker 2: ad here? And remember? Okay, well how about I tell 151 00:08:59,400 --> 00:09:01,480 Speaker 2: you this really interesting thing right after this. 152 00:09:02,080 --> 00:09:05,280 Speaker 1: Yeah, speaking of technology, TransUnion just confirmed a breach, over 153 00:09:05,360 --> 00:09:08,720 Speaker 1: four million people affected. If you're thinking, wait a minute, 154 00:09:08,760 --> 00:09:10,400 Speaker 1: I had heard about that, it's a different one. It 155 00:09:10,440 --> 00:09:13,520 Speaker 1: happens all the time. These breaches happen a lot, and 156 00:09:13,559 --> 00:09:17,160 Speaker 1: that's why we recommend webroot total protection. It's not just antivirus, 157 00:09:17,200 --> 00:09:19,840 Speaker 1: it's identity protection for up to ten people in your family, 158 00:09:20,200 --> 00:09:22,720 Speaker 1: dark web monitoring, and up to a million dollars in 159 00:09:22,760 --> 00:09:24,400 Speaker 1: fraud expense reimbursement. 160 00:09:24,960 --> 00:09:28,280 Speaker 2: I love that they've got twenty four to seven US 161 00:09:28,320 --> 00:09:31,640 Speaker 2: based support talking to somebody in the United States. They 162 00:09:31,679 --> 00:09:33,520 Speaker 2: also have an elder fraud hotline. You know, if you 163 00:09:33,520 --> 00:09:36,040 Speaker 2: get your identity stolen, it could take hundreds of hours 164 00:09:36,040 --> 00:09:39,000 Speaker 2: to fix it yourself. Or you could let webroot handle it. 165 00:09:39,520 --> 00:09:40,720 Speaker 2: But wait, there's more. 166 00:09:40,760 --> 00:09:44,559 Speaker 1: It's got VPN, cloud backup, antivirus, the whole package. It's 167 00:09:44,600 --> 00:09:48,079 Speaker 1: like digital armor for your entire household. You're protected holistically 168 00:09:48,160 --> 00:09:51,400 Speaker 1: from all threats and it's fast, loads quick. It is 169 00:09:51,520 --> 00:09:53,960 Speaker 1: not a pop up strewn mess like a lot of them. 170 00:09:54,000 --> 00:09:57,040 Speaker 1: Are get fifty percent off webroot Total Protection or webroot 171 00:09:57,120 --> 00:10:01,280 Speaker 1: Essentials at webroot dot com slash armstrong. That's webroot dot 172 00:10:01,280 --> 00:10:04,840 Speaker 1: com slash armstrong one more time, webroot dot com slash armstrong. 173 00:10:04,960 --> 00:10:07,840 Speaker 2: So you probably have heard of the Turing test when 174 00:10:07,840 --> 00:10:11,760 Speaker 2: it comes to computers and everything like that. That was one 175 00:10:11,800 --> 00:10:17,000 Speaker 2: of the biggest phrases around the growing power of computers 176 00:10:17,440 --> 00:10:21,720 Speaker 2: for decades and decades and decades and decades. Like man, 177 00:10:21,800 --> 00:10:25,520 Speaker 2: whenever we finally reached the point that something can pass 178 00:10:25,600 --> 00:10:28,440 Speaker 2: the Turing test, we got to watch out for that 179 00:10:28,480 --> 00:10:30,760 Speaker 2: because that's gonna be a major moment in human history. 180 00:10:31,000 --> 00:10:34,960 Speaker 2: That is, when you could believe that you're communicating with 181 00:10:35,000 --> 00:10:38,800 Speaker 2: a human being on the computer, be fooled into thinking 182 00:10:38,840 --> 00:10:42,400 Speaker 2: it's a human. We passed the Turing test like two 183 00:10:42,440 --> 00:10:44,960 Speaker 2: three years ago, and it just came and went without 184 00:10:45,000 --> 00:10:48,440 Speaker 2: any commentary. I mean, all your experts are saying this 185 00:10:48,600 --> 00:10:50,240 Speaker 2: was built up and build up and build up. Then 186 00:10:50,240 --> 00:10:52,480 Speaker 2: it happened to everybody's like huh oh, well, well let's 187 00:10:52,520 --> 00:10:57,280 Speaker 2: just keep going. Nobody slowed down for whatever reason. And 188 00:10:57,360 --> 00:11:00,240 Speaker 2: on this particular podcast getting into that top and I 189 00:11:00,280 --> 00:11:02,440 Speaker 2: thought this was a really interesting way look at it. 190 00:11:02,960 --> 00:11:05,800 Speaker 2: This is the idea that people are starting to have 191 00:11:06,880 --> 00:11:11,000 Speaker 2: human communication with their chatbots, and it feels like you're 192 00:11:11,040 --> 00:11:13,760 Speaker 2: talking to another human. I did it in my tesla 193 00:11:13,800 --> 00:11:18,040 Speaker 2: with groc just yesterday, asking it kind of a banal question, 194 00:11:18,120 --> 00:11:19,600 Speaker 2: but it was talking to me like it's a passenger 195 00:11:19,679 --> 00:11:23,760 Speaker 2: in the car. It's very, very weird. This particular philosopher 196 00:11:23,800 --> 00:11:26,040 Speaker 2: who I've read some of his books said, you know, 197 00:11:26,120 --> 00:11:28,880 Speaker 2: for the very old, you could see this as a positive. 198 00:11:30,240 --> 00:11:33,439 Speaker 2: You're old, you're alone in an old folks home. All 199 00:11:33,480 --> 00:11:36,760 Speaker 2: your friends have passed away, you got nobody, and now 200 00:11:36,800 --> 00:11:40,400 Speaker 2: you're feeling like you've got a companion. That's how can 201 00:11:40,440 --> 00:11:41,280 Speaker 2: you argue with that? 202 00:11:41,760 --> 00:11:41,920 Speaker 1: Right? 203 00:11:42,400 --> 00:11:45,600 Speaker 2: You know who cares? But it brings it comfort, sure, right, 204 00:11:45,640 --> 00:11:47,440 Speaker 2: it brings comfort at the end of your life. But 205 00:11:48,040 --> 00:11:51,920 Speaker 2: for everybody younger, it is going to destroy something with 206 00:11:52,000 --> 00:11:58,280 Speaker 2: the idea that and this philosopher behavioral philosopher said, loneliness 207 00:11:58,559 --> 00:12:02,520 Speaker 2: is a powerful signma that we get that tells us 208 00:12:02,559 --> 00:12:06,920 Speaker 2: we're doing something wrong, that we're not living our life correctly. 209 00:12:07,160 --> 00:12:10,400 Speaker 2: If you're lonely, you either aren't, you know, joining up 210 00:12:10,520 --> 00:12:14,680 Speaker 2: groups or taking advantage of invitations to go do things, 211 00:12:15,120 --> 00:12:17,360 Speaker 2: or making the bold move to ask somebody on a 212 00:12:17,440 --> 00:12:19,959 Speaker 2: date or whatever you're living your life, you know, you 213 00:12:20,040 --> 00:12:24,840 Speaker 2: got to make some corrections. If lonely people can get 214 00:12:25,040 --> 00:12:30,120 Speaker 2: that loneliness satisfied through a chatbot, there'll be no corrective 215 00:12:30,160 --> 00:12:31,880 Speaker 2: mechanism to do anything different. 216 00:12:32,840 --> 00:12:37,040 Speaker 1: Yeah. I quibble only with the word satisfied, because, as 217 00:12:37,080 --> 00:12:39,520 Speaker 1: I've been saying for years and years now, using a 218 00:12:39,520 --> 00:12:43,640 Speaker 1: food metaphor, you satiate your hunger, you do not get 219 00:12:43,640 --> 00:12:44,360 Speaker 1: any nutrition. 220 00:12:44,640 --> 00:12:46,439 Speaker 2: Well, the problem, though, is it'll be enough to keep 221 00:12:46,480 --> 00:12:49,839 Speaker 2: you from feeling the corrective mechanism. I think that's been 222 00:12:49,880 --> 00:12:52,160 Speaker 2: proven with freaking internet porn. 223 00:12:52,360 --> 00:12:56,360 Speaker 1: Well, no, that's my point exactly. Yeah, you will no 224 00:12:56,440 --> 00:12:58,600 Speaker 1: longer seek that which will keep you alive. 225 00:12:58,720 --> 00:13:01,400 Speaker 2: Well, maybe I didn't maybe make it maybe I didn't 226 00:13:01,400 --> 00:13:03,440 Speaker 2: make it clear. He was pointing this out as a negative. 227 00:13:03,520 --> 00:13:05,880 Speaker 2: This is a bad thing. This is an awful thing, 228 00:13:06,480 --> 00:13:09,000 Speaker 2: right that it will you know that it will fool people. 229 00:13:09,280 --> 00:13:12,040 Speaker 2: It will give people enough to you know, you don't 230 00:13:12,240 --> 00:13:14,240 Speaker 2: do the normal correction. You don't think I've got to 231 00:13:14,240 --> 00:13:16,040 Speaker 2: get out of my house. I've got to do something. 232 00:13:16,040 --> 00:13:17,920 Speaker 2: I got to join a boiling league. I gotta do something. 233 00:13:17,920 --> 00:13:21,960 Speaker 2: People won't right, it'll kill their souls. And I don't 234 00:13:21,960 --> 00:13:24,199 Speaker 2: see how we don't. I don't see how we don't 235 00:13:24,240 --> 00:13:30,520 Speaker 2: go down that road unless, like Sam Harris is arguing 236 00:13:30,600 --> 00:13:34,200 Speaker 2: that we outlawed, just flat out out law AI any 237 00:13:34,200 --> 00:13:36,600 Speaker 2: company trying to do it around the world. We treat 238 00:13:36,600 --> 00:13:40,679 Speaker 2: it like nuclear weapons out agreen and good luck with that. 239 00:13:40,760 --> 00:13:42,280 Speaker 2: If you have any comment on that, I think that 240 00:13:42,440 --> 00:13:45,880 Speaker 2: is a huge problem and might be happening right this 241 00:13:46,040 --> 00:13:49,440 Speaker 2: moment with you know, somebody you know text line four 242 00:13:49,480 --> 00:13:56,480 Speaker 2: one five two nine five KFTC. We'll read the whole 243 00:13:56,520 --> 00:13:59,160 Speaker 2: post coming up. But Donald Trump, this is breaking news, 244 00:13:59,240 --> 00:14:02,280 Speaker 2: by the way, breaking Donald Trump just put out a 245 00:14:02,320 --> 00:14:06,280 Speaker 2: post the Mosses on notice gave the terror group until 246 00:14:06,360 --> 00:14:09,080 Speaker 2: Sunday at sixth Eastern to accept the gods a peace 247 00:14:09,120 --> 00:14:12,600 Speaker 2: deal or else all hell will break out. He wrote 248 00:14:12,640 --> 00:14:14,640 Speaker 2: quite a long post on truth social that we'll read 249 00:14:14,679 --> 00:14:15,440 Speaker 2: a little bit later. 250 00:14:16,200 --> 00:14:18,520 Speaker 1: Wow. Interesting. A lot of good stuff to come, including 251 00:14:18,679 --> 00:14:22,160 Speaker 1: if the shutdown ends because the Republicans give up on 252 00:14:22,160 --> 00:14:24,560 Speaker 1: one point, it will be the end of the republic 253 00:14:24,720 --> 00:14:28,520 Speaker 1: Man campus madness update, and all sorts of interesting stuff 254 00:14:28,520 --> 00:14:31,640 Speaker 1: I think, Oh, including I'm telling you I am sold 255 00:14:31,680 --> 00:14:34,040 Speaker 1: on the idea of ultra processed foods being evil. 256 00:14:34,320 --> 00:14:34,760 Speaker 2: I'm not sure. 257 00:14:34,840 --> 00:14:38,320 Speaker 1: No Granola, the weirdo talking about my latest diet all 258 00:14:38,360 --> 00:14:38,760 Speaker 1: the time. 259 00:14:38,920 --> 00:14:41,280 Speaker 2: I'm sure it's true. I just don't believe I'll ever 260 00:14:41,320 --> 00:14:43,160 Speaker 2: be able to stop. But I'm sure it's true. 261 00:14:43,760 --> 00:14:46,960 Speaker 1: So I give you one. Gregory Jackson Junior, who is 262 00:14:47,000 --> 00:14:49,960 Speaker 1: the deputy director of the Biden White House's Office of 263 00:14:50,080 --> 00:14:53,880 Speaker 1: Gun Violence Prevention and more recently is the head of 264 00:14:53,880 --> 00:14:58,560 Speaker 1: the Community Justice Action Fund, a real progressive leader. Being 265 00:14:58,600 --> 00:15:04,680 Speaker 1: grilled by Senator Josh Hallie of Missouri Clip eighty. Please, Michael, here's. 266 00:15:04,440 --> 00:15:06,360 Speaker 4: What you say we ought to invest in instead of 267 00:15:06,440 --> 00:15:10,120 Speaker 4: funding the police, we do need to invest in programs 268 00:15:10,160 --> 00:15:13,880 Speaker 4: that acknowledge the need for safe space initiatives. Yes, led 269 00:15:13,920 --> 00:15:19,480 Speaker 4: by lesbian, gay, bisexual, two spirit, trans and gender nonconforming people. 270 00:15:20,160 --> 00:15:21,080 Speaker 1: What's too spirit? 271 00:15:22,400 --> 00:15:24,800 Speaker 2: Well, look, I don't know you guys will pull in 272 00:15:24,840 --> 00:15:27,400 Speaker 2: some interesting ques. This is from your replict. 273 00:15:27,560 --> 00:15:30,360 Speaker 4: You say, don't fund the police, but do fund programs 274 00:15:30,360 --> 00:15:32,640 Speaker 4: that create safe spaces for two spirit people. 275 00:15:32,720 --> 00:15:34,520 Speaker 2: What is I just want to know. I don't know 276 00:15:34,520 --> 00:15:35,880 Speaker 2: what that is. I have no idea what that is. 277 00:15:36,160 --> 00:15:40,160 Speaker 5: Well, I honestly I'm not completely aware of the language 278 00:15:40,360 --> 00:15:42,920 Speaker 5: he wrote the report. But what I'm telling you is 279 00:15:42,960 --> 00:15:45,800 Speaker 5: that what we as a two spirit individual, I mean 280 00:15:45,840 --> 00:15:50,280 Speaker 5: really said, this is your this is your policy maker's playbook. Well, 281 00:15:50,280 --> 00:15:51,840 Speaker 5: if you don't want to fund the police, you want 282 00:15:51,840 --> 00:15:53,680 Speaker 5: to fund safe spaces. 283 00:15:53,200 --> 00:15:56,400 Speaker 2: For two spirit individuals. What is a two spirit person? 284 00:15:56,560 --> 00:15:58,600 Speaker 5: I feel like I'm looking at a two faced individual 285 00:15:58,640 --> 00:15:59,880 Speaker 5: because you talk about Regina. 286 00:16:00,160 --> 00:16:02,600 Speaker 4: Sorry, you're looking at somebody who's reading you your own words. 287 00:16:02,720 --> 00:16:05,520 Speaker 2: I'd like to hear an answer that was a decent perry, 288 00:16:05,600 --> 00:16:08,240 Speaker 2: I mean, just to try to switch the topic. I mean, 289 00:16:08,280 --> 00:16:10,960 Speaker 2: oh yeah, because he wasn't a bad spot. He wasn't 290 00:16:11,000 --> 00:16:14,400 Speaker 2: a bad spot that often these are gotchas that I 291 00:16:14,400 --> 00:16:19,000 Speaker 2: don't like. That's a perfectly legitimate gotcha. This is your report. 292 00:16:19,160 --> 00:16:20,680 Speaker 2: I'm asking what this means. 293 00:16:21,320 --> 00:16:24,680 Speaker 1: And there's a little more. They know exactly what they're doing. 294 00:16:24,680 --> 00:16:25,840 Speaker 2: They did it the last four years. 295 00:16:25,840 --> 00:16:28,200 Speaker 4: They took money away from cops, they took money away 296 00:16:28,200 --> 00:16:30,560 Speaker 4: from ice, they took money away from law enforcement. And 297 00:16:30,600 --> 00:16:32,760 Speaker 4: what did they spend it on in Blue City after 298 00:16:32,840 --> 00:16:33,520 Speaker 4: Blue City? 299 00:16:33,840 --> 00:16:34,440 Speaker 1: This kind of. 300 00:16:34,360 --> 00:16:38,120 Speaker 4: Gobbledegook garbage, This safe space is this, hold your hand, 301 00:16:38,200 --> 00:16:41,680 Speaker 4: Kumbaya two spirit trans this and that, and then they 302 00:16:41,720 --> 00:16:44,640 Speaker 4: wonder why our cities are in shambles, and they sit 303 00:16:44,680 --> 00:16:46,960 Speaker 4: there and throw stones at Donald Trump as he sends 304 00:16:47,000 --> 00:16:48,440 Speaker 4: in the National Guard to restore order. 305 00:16:49,120 --> 00:16:51,720 Speaker 2: I'm actually surprised that guy couldn't answer that question. 306 00:16:54,040 --> 00:16:56,480 Speaker 1: All right. I mean, I'm a hip enough to the 307 00:16:56,560 --> 00:16:59,560 Speaker 1: whole progressive thing. I can tell you what that is. 308 00:17:00,240 --> 00:17:01,240 Speaker 2: It's an Indian thing. 309 00:17:01,840 --> 00:17:05,320 Speaker 1: Well right, yeah, but he's just about funneling the money 310 00:17:05,480 --> 00:17:09,600 Speaker 1: to activist groups with this is the excuse. So he 311 00:17:09,600 --> 00:17:12,000 Speaker 1: hasn't bothered to become an expert on the excuse that 312 00:17:12,160 --> 00:17:12,880 Speaker 1: SU's wild. 313 00:17:13,800 --> 00:17:16,440 Speaker 2: Yeah, how embarrassing. Nice job. 314 00:17:16,560 --> 00:17:20,919 Speaker 1: Josh Hawley and then Jackson, who was seriously injured in 315 00:17:20,960 --> 00:17:23,959 Speaker 1: a shooting in twenty thirteen, yelled, as someone who's been 316 00:17:23,960 --> 00:17:26,000 Speaker 1: shot nearly killed, I take offense that you would think 317 00:17:26,160 --> 00:17:29,120 Speaker 1: that the last thirteen years were not focused on reducing violence. 318 00:17:29,680 --> 00:17:32,199 Speaker 1: Holly shouted back, I take offence that you did not 319 00:17:32,280 --> 00:17:34,520 Speaker 1: answer my question, that you deny your own words, that 320 00:17:34,520 --> 00:17:37,239 Speaker 1: you are leading this committee astray, and frankly, sir, your 321 00:17:37,240 --> 00:17:39,000 Speaker 1: polities are policies are absurd. 322 00:17:39,200 --> 00:17:45,400 Speaker 2: They're absurd. I start calling more things absurd. This is absurd. 323 00:17:47,320 --> 00:17:49,800 Speaker 1: It is a great old word. That is like if. 324 00:17:49,760 --> 00:17:51,959 Speaker 2: There's not ketchup on the table at the restaurant. This 325 00:17:52,080 --> 00:17:52,680 Speaker 2: is absurd. 326 00:17:53,680 --> 00:17:55,680 Speaker 1: All right, So the whole it's funny. Half an hour 327 00:17:55,720 --> 00:17:58,119 Speaker 1: after I said, is anything happening on this, the whole 328 00:17:58,359 --> 00:18:01,879 Speaker 1: Hamas Israel thing is apparently about to move into a 329 00:18:01,920 --> 00:18:02,320 Speaker 1: new phase. 330 00:18:02,480 --> 00:18:05,760 Speaker 2: God, I would say so. And so my Ukraine and Russia, 331 00:18:05,800 --> 00:18:08,840 Speaker 2: which we got to talk about later. Yipes, got a 332 00:18:08,840 --> 00:18:09,960 Speaker 2: lot on the way. If you miss it, get the 333 00:18:09,960 --> 00:18:16,159 Speaker 2: podcast Armstrong and Getty on demand Armstrong and Getty. Okay, 334 00:18:16,320 --> 00:18:18,520 Speaker 2: this is a pretty big deal. So Donald Trump just 335 00:18:18,640 --> 00:18:22,320 Speaker 2: truthed this out where I actually said yesterday I wish 336 00:18:22,320 --> 00:18:26,120 Speaker 2: he'd put a definite timeline deadline on the whole Mosas 337 00:18:26,240 --> 00:18:29,280 Speaker 2: thing Hammas thing, because he'd been just saying, if they 338 00:18:29,280 --> 00:18:31,479 Speaker 2: don't do it by this weekend, well when's this weekend 339 00:18:31,560 --> 00:18:33,720 Speaker 2: Friday at six or Sunday at mid dine or you 340 00:18:33,760 --> 00:18:36,160 Speaker 2: know you can't have a wishy washy deadline. At least 341 00:18:36,400 --> 00:18:38,639 Speaker 2: wishy washy deadlines don't work for me. Well, we have 342 00:18:38,640 --> 00:18:42,040 Speaker 2: a deadline now Donald Trump's post just from minutes ago. 343 00:18:42,160 --> 00:18:44,840 Speaker 2: Hamas has been a ruthless and violent threat for many 344 00:18:44,920 --> 00:18:47,159 Speaker 2: years in the Middle East. This is long by the 345 00:18:47,160 --> 00:18:50,800 Speaker 2: way they have killed and made lives unbearably miserable, culminating 346 00:18:50,800 --> 00:18:54,280 Speaker 2: with the October seventh massacre in Israel. Babies, women, children, 347 00:18:54,359 --> 00:18:56,879 Speaker 2: old people, and many young men and women, boys and 348 00:18:56,920 --> 00:19:01,680 Speaker 2: girls getting ready to celebrate their future lives together retribution 349 00:19:01,920 --> 00:19:05,080 Speaker 2: for the October seventh attack on civilization. More than twenty 350 00:19:05,119 --> 00:19:08,560 Speaker 2: five thousand Hamas soldiers have already been killed. Most of 351 00:19:08,600 --> 00:19:12,040 Speaker 2: the rest are surrounded and in all caps militarily trapped, 352 00:19:12,520 --> 00:19:14,399 Speaker 2: just waiting for me to give the word go for 353 00:19:14,440 --> 00:19:19,680 Speaker 2: their lives to be quickly extinguished. Wow. As for the rest, 354 00:19:19,760 --> 00:19:21,440 Speaker 2: we know where and who you are, and you will 355 00:19:21,440 --> 00:19:24,399 Speaker 2: be hunted down and killed. I'm asking that all innocent 356 00:19:24,440 --> 00:19:28,440 Speaker 2: Palestinians immediately lead this area of potentially great future death 357 00:19:28,720 --> 00:19:31,600 Speaker 2: for safer parts of Gaza. Everyone will be well cared 358 00:19:31,640 --> 00:19:35,080 Speaker 2: for by those that are waiting to help. Fortunately for Hamas, however, 359 00:19:35,119 --> 00:19:38,040 Speaker 2: they will be given one last chance. Great powerful and 360 00:19:38,160 --> 00:19:40,560 Speaker 2: very rich nations of the Middle East and the surrounding 361 00:19:40,600 --> 00:19:42,919 Speaker 2: areas beyond, together with the United States of America, have 362 00:19:42,960 --> 00:19:46,359 Speaker 2: agreed with Israel signing on to peace in all caps 363 00:19:46,640 --> 00:19:50,359 Speaker 2: after three thousand years in the Middle East. Now this 364 00:19:50,400 --> 00:19:53,320 Speaker 2: sentence is all caps. This deal also spares the lives 365 00:19:53,359 --> 00:19:57,040 Speaker 2: of all remaining Hamas fighters. The details of the document 366 00:19:57,080 --> 00:19:58,440 Speaker 2: are known to the world, and it is a great 367 00:19:58,480 --> 00:20:00,080 Speaker 2: one for all. We have peace in the Middle at 368 00:20:00,160 --> 00:20:03,200 Speaker 2: least one way or another. The violence and bloodshed will stop. 369 00:20:03,480 --> 00:20:06,280 Speaker 2: Release the hostages, all of them, including the bodies of 370 00:20:06,320 --> 00:20:08,959 Speaker 2: those that are dead. Now that is at all caps. 371 00:20:09,359 --> 00:20:11,960 Speaker 2: An agreement must be reached with AMAS by Sunday evening 372 00:20:12,040 --> 00:20:15,919 Speaker 2: at six pm Washington DC time every country has signed on. 373 00:20:16,320 --> 00:20:19,240 Speaker 2: If this last chance agreement is not reached, all hell 374 00:20:19,680 --> 00:20:22,560 Speaker 2: in caps like no one has ever seen before, will 375 00:20:22,560 --> 00:20:24,919 Speaker 2: break out against Tomas. There will be piece of them 376 00:20:24,920 --> 00:20:28,199 Speaker 2: at least one way or another, all caps. Thank you 377 00:20:28,240 --> 00:20:34,040 Speaker 2: for your attention to this matter. Trump is amazing and 378 00:20:34,280 --> 00:20:39,639 Speaker 2: utterly unique. I'd say, I'd sw wow. 379 00:20:39,760 --> 00:20:43,680 Speaker 1: Of course, TAMAS is desperate to keep those civilians right 380 00:20:43,720 --> 00:20:46,920 Speaker 1: where they are at the day. Way will prevent civilians 381 00:20:46,960 --> 00:20:48,560 Speaker 1: from fleeing at the point of a gun. 382 00:20:48,680 --> 00:20:51,760 Speaker 2: I think those civilians then will be collateral damage because 383 00:20:51,840 --> 00:20:53,920 Speaker 2: Israel is going to do what it's going to do. 384 00:20:54,440 --> 00:20:57,320 Speaker 1: And NPR will blame Israel for it, of course, but 385 00:20:57,440 --> 00:21:00,280 Speaker 1: there's nothing you can do about that. 386 00:21:00,280 --> 00:21:02,200 Speaker 2: That's a pretty unequivocal statement. 387 00:21:04,840 --> 00:21:09,480 Speaker 1: Yeah, yeah, and we the world needs more unequivocal statements 388 00:21:10,000 --> 00:21:14,719 Speaker 1: and fewer mush mouthed you know, mouthing of pleasantries and 389 00:21:14,800 --> 00:21:18,639 Speaker 1: cliches and and hopes. No, that's not the way the 390 00:21:18,680 --> 00:21:20,960 Speaker 1: world works, never been the way the world works. 391 00:21:21,000 --> 00:21:25,080 Speaker 2: Well, wars have to end, right and uh like he 392 00:21:25,119 --> 00:21:27,280 Speaker 2: says there's going to be peace one way or the other, 393 00:21:28,320 --> 00:21:30,080 Speaker 2: I mean temporary piece piece. 394 00:21:29,880 --> 00:21:35,600 Speaker 1: Ish yeah yeah, oh my god, Okay. 395 00:21:35,440 --> 00:21:37,600 Speaker 2: All will break loose. 396 00:21:37,680 --> 00:21:43,320 Speaker 1: Okay, Well, I believe that there are there are the 397 00:21:43,400 --> 00:21:47,000 Speaker 1: usual suspects, your European countries and the Yue still talking 398 00:21:47,000 --> 00:21:50,560 Speaker 1: about a two state solution, yeah all right, or or 399 00:21:50,680 --> 00:21:54,080 Speaker 1: you know, recognizing the Palestinian state and all that is 400 00:21:54,119 --> 00:21:58,680 Speaker 1: the polar opposite, that is the realism of Trump. 401 00:21:58,400 --> 00:22:01,280 Speaker 2: Because that is unicorn, right, fantasy land. 402 00:22:01,760 --> 00:22:05,000 Speaker 1: Right, and most of them know that. But they mouth 403 00:22:05,200 --> 00:22:08,280 Speaker 1: that for consumer or the you know, it's like their 404 00:22:08,320 --> 00:22:10,400 Speaker 1: their domestic audiences and or the met It's. 405 00:22:10,359 --> 00:22:15,439 Speaker 2: Just like being pacifist. I mean, you get all you 406 00:22:15,480 --> 00:22:17,320 Speaker 2: get all the credit for being good and nice and 407 00:22:17,359 --> 00:22:19,240 Speaker 2: everything like that, but you're not living in reality in 408 00:22:19,280 --> 00:22:19,720 Speaker 2: any way. 409 00:22:20,480 --> 00:22:25,679 Speaker 1: Right, go be a pacifist in Ukraine or Nigeria or 410 00:22:25,720 --> 00:22:28,600 Speaker 1: something like that. You don't get to be a pacifist 411 00:22:28,840 --> 00:22:31,119 Speaker 1: protected by the mightiest military in the history of the 412 00:22:31,160 --> 00:22:36,800 Speaker 1: earth anyway. Well, that will be interesting one way or 413 00:22:36,800 --> 00:22:39,600 Speaker 1: the other, guaranteed, God, I'd say, so, I want to 414 00:22:39,640 --> 00:22:42,440 Speaker 1: talk about something that's not going to end in kind 415 00:22:42,440 --> 00:22:43,840 Speaker 1: of Ay, whatever happened with that. 416 00:22:45,400 --> 00:22:47,879 Speaker 2: Right, that is not why it's going to be So 417 00:22:48,040 --> 00:22:50,600 Speaker 2: three o'clock my time on the West Coast. Okay, well 418 00:22:50,600 --> 00:22:52,080 Speaker 2: that's what I'll do on Sunday afternoon. 419 00:22:53,400 --> 00:22:55,600 Speaker 1: Yeah, yeah, all right, what's that? Are you in the 420 00:22:55,640 --> 00:22:57,280 Speaker 1: mood for something completely different? 421 00:22:57,359 --> 00:22:57,639 Speaker 2: Hells? 422 00:22:57,720 --> 00:23:01,440 Speaker 1: Yeah? So you may remember I mentioned this a couple 423 00:23:01,440 --> 00:23:03,760 Speaker 1: of times and we never got to it. Gosh, it 424 00:23:03,840 --> 00:23:10,200 Speaker 1: was a month ago, a piece from the Wall Street Journal. 425 00:23:10,200 --> 00:23:12,840 Speaker 1: My family went off ultra processed foods for a month. 426 00:23:12,960 --> 00:23:16,320 Speaker 1: The results surprised us, and we just never got to it. 427 00:23:16,400 --> 00:23:18,280 Speaker 2: Got I heard a little bit about this yesterday, and 428 00:23:18,320 --> 00:23:21,520 Speaker 2: I thought, I've got to make an effort for me 429 00:23:21,600 --> 00:23:24,439 Speaker 2: and the boys to eat less ultra processed food. It's 430 00:23:24,480 --> 00:23:27,840 Speaker 2: just so eat One, it's yummy. Two were addicted to it. Three, 431 00:23:28,200 --> 00:23:30,720 Speaker 2: it's everywhere. I could come up with many reasons why 432 00:23:30,720 --> 00:23:34,160 Speaker 2: it's hard to quit well dig this stuff. We're gonna 433 00:23:34,160 --> 00:23:36,240 Speaker 2: start with clips sixty Michael and go from there. It's 434 00:23:36,280 --> 00:23:40,880 Speaker 2: the so cute Alexandria Hoff on Special Report last night 435 00:23:41,160 --> 00:23:43,480 Speaker 2: talking about upfs as we're calling. 436 00:23:43,240 --> 00:23:46,240 Speaker 1: Them now these days. Saves time instead of ultra processed foods. 437 00:23:46,240 --> 00:23:48,720 Speaker 1: So many syllables, let's hear sixty Michael. 438 00:23:48,920 --> 00:23:50,439 Speaker 6: So a lot of this has been talked about in 439 00:23:50,440 --> 00:23:53,080 Speaker 6: the context of what we're feeding our children, but new 440 00:23:53,119 --> 00:23:55,560 Speaker 6: research out of the University of Michigan finds that older 441 00:23:55,600 --> 00:23:59,640 Speaker 6: Americans are the most addictive to the additive heavy nutrient 442 00:23:59,760 --> 00:24:02,920 Speaker 6: light products known as ultra process foods. The study finds 443 00:24:02,920 --> 00:24:06,240 Speaker 6: that UPF addiction is far out pacing reliance on alcohol 444 00:24:06,440 --> 00:24:09,880 Speaker 6: or tobacco, especially so for women age fifty to sixty four, 445 00:24:09,920 --> 00:24:13,520 Speaker 6: where twenty one percent qualified as having a UPF addiction. 446 00:24:13,600 --> 00:24:16,160 Speaker 6: That was determined with the same criteria used to diagnose 447 00:24:16,240 --> 00:24:18,840 Speaker 6: substance use disorders. For men in the same age group, 448 00:24:18,880 --> 00:24:21,800 Speaker 6: it was ten percent. High consumption was then associated with 449 00:24:21,880 --> 00:24:25,600 Speaker 6: poor perception of mental and physical health and feelings of isolation. 450 00:24:26,359 --> 00:24:29,760 Speaker 1: I feel like this a version to upfs is much 451 00:24:29,800 --> 00:24:32,520 Speaker 1: higher than to alcohol and tobacco among women. 452 00:24:32,640 --> 00:24:34,320 Speaker 2: Yeah, this is the first time I've ever thought about 453 00:24:34,320 --> 00:24:36,760 Speaker 2: it being in an addiction, and I'm a little confused 454 00:24:36,760 --> 00:24:39,280 Speaker 2: by that. But that's interesting because I don't feel like 455 00:24:39,280 --> 00:24:42,679 Speaker 2: I'm an addict. Like you know, if you're addicted to 456 00:24:42,840 --> 00:24:46,760 Speaker 2: whatever you're addicted to, it's not just because it's cheap 457 00:24:46,800 --> 00:24:47,959 Speaker 2: and easy to get to. 458 00:24:50,280 --> 00:24:54,560 Speaker 1: Yeah, not to be a flip, but something you want 459 00:24:54,800 --> 00:24:57,160 Speaker 1: a lot all the time, even though you know it's 460 00:24:57,200 --> 00:25:00,000 Speaker 1: not good for you. That could just be laziness. 461 00:25:00,160 --> 00:25:04,479 Speaker 2: It's it's like eighty percent of my day next things 462 00:25:04,520 --> 00:25:05,359 Speaker 2: I shouldn't be doing. 463 00:25:06,040 --> 00:25:08,480 Speaker 6: According to the study, it comes down to this population 464 00:25:08,600 --> 00:25:11,800 Speaker 6: being in a developmentally sensitive stage of life during the 465 00:25:11,840 --> 00:25:16,240 Speaker 6: seventies and eighties quote precisely when tobacco owned food manufacturers 466 00:25:16,240 --> 00:25:19,280 Speaker 6: were shaping the market with addictive up apps. 467 00:25:21,040 --> 00:25:23,120 Speaker 1: If I met, so, that's why women in their fifties 468 00:25:23,119 --> 00:25:26,560 Speaker 1: and sixties are especially allegedly addictive to this stuff. 469 00:25:26,560 --> 00:25:29,359 Speaker 2: If it's not just that I like it and that 470 00:25:29,440 --> 00:25:32,359 Speaker 2: it's cheap and easy, it's I'm actually addicted to it. 471 00:25:32,400 --> 00:25:34,080 Speaker 2: That makes me want to stop even more. 472 00:25:34,760 --> 00:25:37,720 Speaker 6: Next clip, Michael, and this raises concerns for addiction levels 473 00:25:37,760 --> 00:25:40,920 Speaker 6: to come. The Trump Administration's MAHA report, released last month 474 00:25:41,160 --> 00:25:45,880 Speaker 6: underscores that nearly seventy percent of American American child's calories 475 00:25:45,920 --> 00:25:48,800 Speaker 6: come from upfs, which is far more than what older 476 00:25:48,840 --> 00:25:50,439 Speaker 6: generations consumed as kids. 477 00:25:50,680 --> 00:25:50,840 Speaker 1: Now. 478 00:25:50,880 --> 00:25:53,560 Speaker 6: As for why the addiction rate is higher and older 479 00:25:53,600 --> 00:25:57,919 Speaker 6: women versus men, well, researchers theorize that aggressive weight control 480 00:25:58,000 --> 00:25:59,920 Speaker 6: marketing in the eighties could be to blame for that, 481 00:26:00,040 --> 00:26:03,359 Speaker 6: at selling women and girls in low fat microwavable karp 482 00:26:03,560 --> 00:26:06,119 Speaker 6: any products that only made things worse. 483 00:26:06,520 --> 00:26:07,800 Speaker 2: That's right, that was a big thing. 484 00:26:08,680 --> 00:26:13,359 Speaker 1: Yeah, I'm not I've heard so many things called addictions, 485 00:26:13,440 --> 00:26:15,639 Speaker 1: and I think sometimes that word gets thrown around a 486 00:26:15,640 --> 00:26:19,280 Speaker 1: little too easily. But I am very very intrigued about 487 00:26:19,640 --> 00:26:23,639 Speaker 1: this one. And then to the article from the journal, 488 00:26:23,680 --> 00:26:29,720 Speaker 1: which I have refound. It's this gallous journalist who decided 489 00:26:29,840 --> 00:26:34,879 Speaker 1: or agreed to completely avoid UPFS for her family for 490 00:26:34,920 --> 00:26:37,640 Speaker 1: a month to see what they all thought of it. 491 00:26:39,000 --> 00:26:43,800 Speaker 1: The results proved transformative. Removing upfs dramatically altered my daughter's 492 00:26:43,840 --> 00:26:48,080 Speaker 1: eating habits. It changed mine even more. These effects persuaded 493 00:26:48,080 --> 00:26:50,719 Speaker 1: my husband, who began the experiment as a skeptical observer, 494 00:26:50,800 --> 00:26:54,080 Speaker 1: to wean himself off ultra processed foods too, And she 495 00:26:54,160 --> 00:26:57,199 Speaker 1: gets into They agreed on a simple definition so that 496 00:26:57,320 --> 00:27:00,919 Speaker 1: her daughter could easily identify upfs too. They went shopping together, 497 00:27:01,160 --> 00:27:03,919 Speaker 1: and that's essentially if you see an ingredient that you 498 00:27:03,920 --> 00:27:06,600 Speaker 1: don't you can barely pronounce. I mean, you have to 499 00:27:06,640 --> 00:27:08,639 Speaker 1: like sound it out you don't know what it is, 500 00:27:09,080 --> 00:27:11,960 Speaker 1: avoid it, don't buy it, which is a little broad, 501 00:27:12,000 --> 00:27:13,040 Speaker 1: but that's useful. 502 00:27:13,240 --> 00:27:15,760 Speaker 2: Well, Michael, I was just thinking, so, like, a frozen 503 00:27:15,800 --> 00:27:19,080 Speaker 2: pizza probably has a gazillion ingredients on there. I don't 504 00:27:19,119 --> 00:27:21,280 Speaker 2: know yes of that. But if I get a pizza 505 00:27:21,280 --> 00:27:23,919 Speaker 2: from a restaurant and delivered, did they use ingredients that 506 00:27:24,000 --> 00:27:26,560 Speaker 2: are ultra processed food? So I'm doing the same thing. 507 00:27:27,000 --> 00:27:32,200 Speaker 1: Probably not, Okay, probably not, So, she writes, dis eliminated 508 00:27:32,320 --> 00:27:36,120 Speaker 1: all foods with artificial flavors and anything with refined flowers, 509 00:27:36,160 --> 00:27:40,960 Speaker 1: including most store bought crackers, cereals, breads, pretzels, granola bars, 510 00:27:41,000 --> 00:27:43,240 Speaker 1: and the baked goods at our local coffee shops. It 511 00:27:43,320 --> 00:27:45,920 Speaker 1: meant giving up a bunch of our favorite foods cheese its, 512 00:27:46,280 --> 00:27:51,880 Speaker 1: ritz crackers, pirates, booty bagels, pita chips, what milk, chocolate 513 00:27:51,920 --> 00:27:53,359 Speaker 1: and flavored sparkling waters? 514 00:27:53,680 --> 00:27:55,959 Speaker 2: Are you sitting around eating cheese its and pirates, booty 515 00:27:56,040 --> 00:27:56,920 Speaker 2: past the age of ten? 516 00:27:57,000 --> 00:27:57,240 Speaker 1: Please? 517 00:27:57,280 --> 00:27:59,320 Speaker 2: Don't we stocked. 518 00:27:59,040 --> 00:28:03,640 Speaker 1: Up on whole in mintie mimimally processed foods, including oatmeal, 519 00:28:03,960 --> 00:28:09,240 Speaker 1: plain yogurt, fresh cheeses, beans, nuts, canfish, canned fish, canned fish. 520 00:28:09,280 --> 00:28:11,280 Speaker 2: All right, I'll sit around and eat nuts. There's a 521 00:28:11,320 --> 00:28:13,760 Speaker 2: number of things I'll chomp on as a snack. I'm 522 00:28:13,800 --> 00:28:17,359 Speaker 2: not gonna eat canned fish. Well probably, I'm probably like to, 523 00:28:17,560 --> 00:28:19,160 Speaker 2: but I'm still probably I'd gonna sit on the couch 524 00:28:19,240 --> 00:28:21,560 Speaker 2: washing a game with a can of fish, you know, 525 00:28:21,720 --> 00:28:24,359 Speaker 2: like tuna that's fine, which is probably not gonna be 526 00:28:24,359 --> 00:28:25,280 Speaker 2: my go to snack. 527 00:28:25,680 --> 00:28:29,840 Speaker 1: Plus popcorn, fruits, well just say it, junkie. Then fruits 528 00:28:29,840 --> 00:28:33,560 Speaker 1: and veggies, fresh and frozen, et cetera. Here's the crazy intro. 529 00:28:34,560 --> 00:28:36,480 Speaker 2: Anybody, huh, get one while I go to the fridge. 530 00:28:36,480 --> 00:28:37,520 Speaker 2: So I have to make two trips. 531 00:28:38,120 --> 00:28:41,000 Speaker 1: We decided that without UPFS, we could eat as much 532 00:28:41,040 --> 00:28:43,280 Speaker 1: as we wanted of the other foods, the good stuff, 533 00:28:43,320 --> 00:28:45,200 Speaker 1: and if we craved a sweet, we would bake it. 534 00:28:45,520 --> 00:28:48,160 Speaker 1: After a month, we would assess how we felt. We found, however, 535 00:28:48,240 --> 00:28:50,720 Speaker 1: that the changes came much sooner. About ten days in, 536 00:28:50,840 --> 00:28:53,800 Speaker 1: she writes, I noticed a striking shift. I wasn't constantly 537 00:28:53,840 --> 00:28:57,320 Speaker 1: thinking about food before. I carried around what some call 538 00:28:57,520 --> 00:29:00,880 Speaker 1: food noise. I had persistent nagging thoughts about what to 539 00:29:00,960 --> 00:29:05,280 Speaker 1: eat next. That's interesting, and she mentioned several things, then says, 540 00:29:05,280 --> 00:29:08,760 Speaker 1: without UPFS, my cravings faded. I learned I'm not alone. 541 00:29:08,800 --> 00:29:12,200 Speaker 1: A randomized, controlled eight week trial involving fifty adults published 542 00:29:12,200 --> 00:29:14,960 Speaker 1: this month in Nature Medicine found that participants who switched 543 00:29:14,960 --> 00:29:18,320 Speaker 1: to a minimally processed diet lost weight and saw their 544 00:29:18,360 --> 00:29:21,720 Speaker 1: cravings decline. The guy who led the studies that I 545 00:29:21,760 --> 00:29:24,560 Speaker 1: was surprised by these findings. When people whose weight typically 546 00:29:24,600 --> 00:29:28,080 Speaker 1: their appetite or cravings increase, but we found the opposite. 547 00:29:29,120 --> 00:29:33,160 Speaker 1: My snacking duly plummeted. My daughter's eating habits followed suit. 548 00:29:33,400 --> 00:29:35,320 Speaker 1: By the third week, she did something I hadn't seen 549 00:29:35,360 --> 00:29:39,280 Speaker 1: in years. She had a homemade dinner with gusto, and 550 00:29:39,360 --> 00:29:41,320 Speaker 1: she mentions what it was, and it sounds quite nice. 551 00:29:42,080 --> 00:29:42,400 Speaker 2: Hmm. 552 00:29:42,800 --> 00:29:46,720 Speaker 1: She'd been a picky eater, I thought, but that night 553 00:29:46,760 --> 00:29:49,520 Speaker 1: she gobbled it up and loved it and tasted you know, 554 00:29:49,640 --> 00:29:51,080 Speaker 1: all the foods. 555 00:29:50,800 --> 00:29:53,200 Speaker 2: For me, way more than the yumminess and everything. It's 556 00:29:53,200 --> 00:29:58,920 Speaker 2: just the convenience. It's just so damned convenient. The extra 557 00:29:59,040 --> 00:30:02,400 Speaker 2: work it takes too not have a peanut butter sandwich 558 00:30:02,440 --> 00:30:04,760 Speaker 2: with the peanut butter and the bread both having a 559 00:30:04,760 --> 00:30:06,600 Speaker 2: lot of things any probably shouldn't eat. 560 00:30:07,080 --> 00:30:11,040 Speaker 1: It's just so convenient to stay a junkie, living in 561 00:30:11,120 --> 00:30:14,760 Speaker 1: a tent and crapping on the sidewalk. Yes, it's his words. 562 00:30:14,920 --> 00:30:16,640 Speaker 1: I don't know if are with your cheese. 563 00:30:17,400 --> 00:30:18,760 Speaker 2: I don't know if I'm gonna end up an attent 564 00:30:18,800 --> 00:30:20,320 Speaker 2: crapping on the sidewalk because. 565 00:30:21,800 --> 00:30:25,080 Speaker 1: You're a junkie. Listen to you, Listen to your excuses, 566 00:30:25,120 --> 00:30:25,960 Speaker 1: your denials. 567 00:30:26,520 --> 00:30:29,600 Speaker 2: It is rationalization. The whole addiction thing is different, the 568 00:30:29,800 --> 00:30:34,320 Speaker 2: separating an addiction from a bad habit. They're not the 569 00:30:34,360 --> 00:30:36,640 Speaker 2: same thing. An addiction is not the same as a 570 00:30:36,640 --> 00:30:38,960 Speaker 2: bad habit. Nobody knows, nobody knows. 571 00:30:38,760 --> 00:30:44,000 Speaker 1: Nobody knows yeah, yeah, so listen. The Niners Rams game 572 00:30:44,120 --> 00:30:46,400 Speaker 1: last night was one of the best football games I've 573 00:30:46,440 --> 00:30:48,680 Speaker 1: ever witnessed, although it was very, very long. 574 00:30:49,640 --> 00:30:51,320 Speaker 2: Both my kids had homework and I had to help them. 575 00:30:51,400 --> 00:30:51,760 Speaker 2: Damn it. 576 00:30:52,280 --> 00:30:54,960 Speaker 1: That's no excuse. Actually, that's an excellent excuse. Anyway. If 577 00:30:54,960 --> 00:30:56,880 Speaker 1: you want to spice up your sports viewing, whether it's 578 00:30:56,920 --> 00:30:59,800 Speaker 1: the bisball playoffs or the Football Man, Prize Picks is 579 00:30:59,800 --> 00:31:02,640 Speaker 1: a good way to do it. It's simple, it's easy, 580 00:31:02,840 --> 00:31:05,840 Speaker 1: it's fun, and I like the fact that I mean like, 581 00:31:06,040 --> 00:31:08,000 Speaker 1: if you use our code, you download the price Picks 582 00:31:08,000 --> 00:31:11,640 Speaker 1: app and you play a five dollars lineup, they'll give 583 00:31:11,640 --> 00:31:14,000 Speaker 1: you fifty dollars in lineups to play around with. You 584 00:31:14,040 --> 00:31:17,200 Speaker 1: don't need to win as automatic and listen, just you know, 585 00:31:17,360 --> 00:31:18,640 Speaker 1: whatever level you're comfortable with. 586 00:31:18,720 --> 00:31:21,360 Speaker 2: Five dollars is fun, do it. Why not Prize picks. Ah, 587 00:31:21,400 --> 00:31:23,800 Speaker 2: your big loud talker with your sports opinion sitting at 588 00:31:23,800 --> 00:31:26,520 Speaker 2: the bar, huh, put them to the test with Prize Picks. 589 00:31:26,640 --> 00:31:28,600 Speaker 2: Download the Prize Picks app today and use the code 590 00:31:28,680 --> 00:31:31,040 Speaker 2: Armstrong to get fifty dollars in lineups. After you play 591 00:31:31,040 --> 00:31:33,520 Speaker 2: your first five dollars lineup. That coat is Armstrong to 592 00:31:33,520 --> 00:31:35,440 Speaker 2: get fifty dollars in lineups after you play your first 593 00:31:35,440 --> 00:31:36,280 Speaker 2: five dollars lineup. 594 00:31:36,880 --> 00:31:39,280 Speaker 1: Yeah, just pick more or less on at least least 595 00:31:39,280 --> 00:31:41,760 Speaker 1: two player stats. You can even combine sports. That's fine. 596 00:31:41,840 --> 00:31:44,160 Speaker 1: Prize picks. And again the code is Armstrong Prize picks. 597 00:31:44,480 --> 00:31:45,600 Speaker 1: It's good to be right. 598 00:31:46,000 --> 00:31:48,560 Speaker 2: I will continue reviewing the new Taylor Swift album as 599 00:31:48,560 --> 00:31:52,120 Speaker 2: I've listened to the front to back and and a 600 00:31:52,120 --> 00:31:54,320 Speaker 2: lot of other news that we got going on. There's 601 00:31:54,360 --> 00:31:57,840 Speaker 2: some Russia Ukraine stuff that's highly troubling, coming on the 602 00:31:57,840 --> 00:32:00,480 Speaker 2: heels of what Trump just said about Israel. Wow, the 603 00:32:00,560 --> 00:32:05,000 Speaker 2: world is spicy stick around. 604 00:32:06,840 --> 00:32:09,680 Speaker 7: Many of you asked me this morning about sombreros and 605 00:32:09,720 --> 00:32:13,400 Speaker 7: memes and why how came Jeffreys is all alarmed by that. Look, 606 00:32:14,240 --> 00:32:16,640 Speaker 7: these are games, these are side shows. People are getting 607 00:32:16,640 --> 00:32:20,560 Speaker 7: caught up and battles over social media memes. We've got 608 00:32:20,560 --> 00:32:22,280 Speaker 7: to keep the this is not a game. We got 609 00:32:22,320 --> 00:32:24,120 Speaker 7: to keep the government open for the people. I don't 610 00:32:24,160 --> 00:32:26,480 Speaker 7: know why this is so complicated. And to my friend Hakim, 611 00:32:26,520 --> 00:32:29,760 Speaker 7: who I was asked about, man, just ignore it. I mean, 612 00:32:29,960 --> 00:32:31,600 Speaker 7: Gavin Newsom was troulling me last night. 613 00:32:32,320 --> 00:32:33,560 Speaker 1: He painted me like a minion. 614 00:32:33,720 --> 00:32:36,520 Speaker 7: He painted me yellow with big glasses and overalls, and 615 00:32:36,520 --> 00:32:39,320 Speaker 7: I thought it was hilarious. You don't respond to it 616 00:32:39,480 --> 00:32:41,800 Speaker 7: for all my friends, for all my friends, ours and d's, 617 00:32:42,000 --> 00:32:45,440 Speaker 7: don't respond to it. Get to work, do the people's business, 618 00:32:45,600 --> 00:32:46,600 Speaker 7: and let's get on with it. 619 00:32:47,680 --> 00:32:50,560 Speaker 2: Have you been following any Charlie Cook's writing in the 620 00:32:50,640 --> 00:32:52,920 Speaker 2: National Review about this, I haven't. 621 00:32:53,040 --> 00:32:53,120 Speaker 1: No. 622 00:32:53,320 --> 00:32:57,240 Speaker 2: He thinks shutdowns should be a regular part of our system. 623 00:32:57,280 --> 00:33:00,840 Speaker 2: It just should happen on a regular basis. What's the 624 00:33:00,840 --> 00:33:03,000 Speaker 2: big deal. It's fine. 625 00:33:04,520 --> 00:33:07,560 Speaker 1: It's an evidence of dysfunction, I think. But I'll have 626 00:33:07,640 --> 00:33:11,720 Speaker 1: to read his reasoning. Yeah, I'm fine with this one. 627 00:33:11,720 --> 00:33:14,920 Speaker 1: I don't care. I mean, they got to get it 628 00:33:14,920 --> 00:33:17,840 Speaker 1: going eventually. But so we've mentioned a couple of times 629 00:33:17,880 --> 00:33:20,000 Speaker 1: that if the Republicans give on one aspect of this, 630 00:33:20,080 --> 00:33:22,840 Speaker 1: the experiment in self governance is over. And that's only 631 00:33:22,880 --> 00:33:27,920 Speaker 1: half a joke. It's specifically, and I'm quoting from the Journal, 632 00:33:28,080 --> 00:33:33,000 Speaker 1: that the President has projected what they call unwavering confidence 633 00:33:33,040 --> 00:33:35,680 Speaker 1: that he is winning the messaging war over the government shutdown. 634 00:33:35,880 --> 00:33:38,720 Speaker 1: But behind the scenes, his team is increasingly concerned that 635 00:33:38,760 --> 00:33:41,000 Speaker 1: the issue at the center of the debate will create 636 00:33:41,040 --> 00:33:47,600 Speaker 1: political vulnerabilities for Republicans. Specifically, it's some of those obvious 637 00:33:47,800 --> 00:33:54,880 Speaker 1: common sense reforms on Medicare. Advisors are worried the GOP 638 00:33:55,000 --> 00:33:58,040 Speaker 1: will take the blame for allowing healthcare subsidies to expire, 639 00:33:58,120 --> 00:34:01,520 Speaker 1: raising costs from millions of Americans of next year's midterm elections. 640 00:34:01,560 --> 00:34:06,280 Speaker 1: According to the administration officials, here's the deal. During COVID, 641 00:34:06,720 --> 00:34:13,239 Speaker 1: the Democrats passed temporary boosts to who's eligible and how 642 00:34:13,280 --> 00:34:15,120 Speaker 1: it's going to work, and how much money you get. 643 00:34:15,520 --> 00:34:20,759 Speaker 1: And those boosts allowed able bodied people who ought to 644 00:34:20,760 --> 00:34:26,960 Speaker 1: be working to get heavily taxpayer subsidized healthcare health insurance. Really, 645 00:34:27,360 --> 00:34:30,040 Speaker 1: it permitted a lot of illegal immigrants to jump on 646 00:34:30,120 --> 00:34:33,200 Speaker 1: the rolls, and it permitted a lot of these zero 647 00:34:33,480 --> 00:34:36,319 Speaker 1: cost plans that, as we were discussing yesterday, something like 648 00:34:36,400 --> 00:34:40,279 Speaker 1: forty percent of those made zero claims last year. But 649 00:34:40,400 --> 00:34:45,200 Speaker 1: the insurance companies were still paid for them by the taxpayers, 650 00:34:45,360 --> 00:34:47,239 Speaker 1: and a lot of these people were unaware they were 651 00:34:47,280 --> 00:34:52,640 Speaker 1: even enrolled. And so that's all the Republicans are trying 652 00:34:52,680 --> 00:34:56,080 Speaker 1: to do is rain in those mainly those three things. 653 00:34:56,600 --> 00:34:58,720 Speaker 1: And if they think, you know the whole you're taking 654 00:34:58,760 --> 00:35:02,760 Speaker 1: healthcare away from p it's a good message, and we're 655 00:35:02,800 --> 00:35:05,160 Speaker 1: afraid if we stand up to him, we'll be blamed. Yeah, 656 00:35:05,239 --> 00:35:07,680 Speaker 1: let's let's go ahead and give in on this one. Yeah. 657 00:35:07,719 --> 00:35:08,840 Speaker 1: I just I think we're doomed. 658 00:35:09,040 --> 00:35:12,560 Speaker 2: It's troubling because it's a lot like the voting stuff 659 00:35:12,760 --> 00:35:17,280 Speaker 2: was where they relaxed all kinds of voting rules during 660 00:35:17,280 --> 00:35:19,160 Speaker 2: COVID because it was so hard to vote, and then 661 00:35:19,200 --> 00:35:21,040 Speaker 2: when you tried to go back to the old way, 662 00:35:21,280 --> 00:35:23,840 Speaker 2: it was portrayed his voter suppression. 663 00:35:24,440 --> 00:35:26,720 Speaker 1: Yeah, Nazism, Jim Crow on stereo. 664 00:35:26,840 --> 00:35:29,319 Speaker 2: Yeah, and the mainstream media, you know, went along with it, 665 00:35:29,360 --> 00:35:31,080 Speaker 2: and a lot of people who weren't paying close attention 666 00:35:31,160 --> 00:35:34,160 Speaker 2: were confused. And the Republicans are afraid that that, or 667 00:35:34,200 --> 00:35:37,880 Speaker 2: Trump anyway is afraid that that same thing will happen here. 668 00:35:38,000 --> 00:35:40,440 Speaker 2: The mainstream media will portray it, of course as taking 669 00:35:40,440 --> 00:35:43,280 Speaker 2: away people's health care, even though it was a supposed 670 00:35:43,320 --> 00:35:46,960 Speaker 2: to be a short term emergency sort of thing during COVID, 671 00:35:47,840 --> 00:35:50,160 Speaker 2: we portrayed as and people will believe that it's taking 672 00:35:50,160 --> 00:35:53,799 Speaker 2: away people's healthcare. And Trump, you know, for better or worse, 673 00:35:53,800 --> 00:35:55,760 Speaker 2: and I think this is worse. It's not an idea 674 00:35:55,800 --> 00:35:57,880 Speaker 2: log and that he'd I don't know if he's an 675 00:35:57,880 --> 00:36:01,000 Speaker 2: idea log on anything other than tariffs. Even the border 676 00:36:01,120 --> 00:36:04,520 Speaker 2: might just be because he sees it such an easy 677 00:36:04,560 --> 00:36:06,840 Speaker 2: winning issue that eighty five percent of people are in 678 00:36:06,880 --> 00:36:09,000 Speaker 2: agreement with. I don't know if he's an idy log 679 00:36:09,000 --> 00:36:11,920 Speaker 2: on hardly anything. And if he thinks this is going 680 00:36:12,000 --> 00:36:15,960 Speaker 2: to hurt chances in the midterms, I can see how 681 00:36:15,960 --> 00:36:18,120 Speaker 2: he would give on this, and then you're right, Then 682 00:36:18,160 --> 00:36:20,440 Speaker 2: there's nobody's courage. It is discouraging. 683 00:36:21,000 --> 00:36:22,680 Speaker 1: I mean, you want to talk about the high cost 684 00:36:22,680 --> 00:36:28,040 Speaker 1: of good intentions. This is a very short term, easily explained, 685 00:36:30,200 --> 00:36:37,719 Speaker 1: you know, fairly insignificant program that got boosted briefly for 686 00:36:37,719 --> 00:36:39,560 Speaker 1: a specific reason. Now we're just going to take it 687 00:36:39,560 --> 00:36:42,080 Speaker 1: back to normal because I mean, there's so many problems 688 00:36:42,160 --> 00:36:44,759 Speaker 1: with the boost. It was so sloppy and expensive. Got 689 00:36:44,760 --> 00:36:47,920 Speaker 1: to rein it in. But those who would grow the 690 00:36:47,960 --> 00:36:50,359 Speaker 1: government and do nothing but grow the government can make 691 00:36:50,360 --> 00:36:53,080 Speaker 1: a powerful enough case. Everybody gets scared and says, no, 692 00:36:53,160 --> 00:36:55,600 Speaker 1: we can't do that, we can't do that. We're done 693 00:36:55,800 --> 00:36:59,280 Speaker 1: as a people. There you go as a government system Friday, 694 00:37:00,080 --> 00:37:03,760 Speaker 1: what are you gonna do? What are you gonna do? Personally, 695 00:37:03,760 --> 00:37:05,640 Speaker 1: I'm gonna arm myself and go door to door and 696 00:37:05,680 --> 00:37:08,520 Speaker 1: loot my neighbors and the Chasus. 697 00:37:09,960 --> 00:37:10,840 Speaker 2: That's one option. 698 00:37:12,440 --> 00:37:16,040 Speaker 1: Steal their stuff, you know, kiss their wives, bet their dogs. Wow. 699 00:37:16,080 --> 00:37:18,120 Speaker 2: Whatever, We got a couple more hours to go. If 700 00:37:18,120 --> 00:37:20,120 Speaker 2: you miss a segment an hour, get the podcast Armstrong 701 00:37:20,160 --> 00:37:21,120 Speaker 2: and Getty on demand 702 00:37:22,960 --> 00:37:24,120 Speaker 1: Armstrong and Getty