1 00:00:01,880 --> 00:00:06,160 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,760 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty arm Strong 3 00:00:10,800 --> 00:00:17,280 Speaker 1: and Getty and he Armstrong and Getty. 4 00:00:24,200 --> 00:00:26,680 Speaker 2: President Trump out of sight as his words sent the 5 00:00:26,720 --> 00:00:30,040 Speaker 2: stock market into free fall, Wall Street suffering its worst 6 00:00:30,120 --> 00:00:33,040 Speaker 2: day of the year, the Dow closing nearly nine hundred 7 00:00:33,080 --> 00:00:36,199 Speaker 2: points down after the President refused to rule out that 8 00:00:36,240 --> 00:00:38,520 Speaker 2: the US could be heading into a recession. 9 00:00:40,000 --> 00:00:44,400 Speaker 1: Uh yeah, a lot of negative headlines about Wall Street yesterday. 10 00:00:44,400 --> 00:00:50,040 Speaker 1: I'm always interested in that. In that a lot, a lot, 11 00:00:50,159 --> 00:00:53,320 Speaker 1: a lot of Americans aren't in the stock market, and 12 00:00:53,760 --> 00:00:57,200 Speaker 1: it's I'd like to know what percentage of the audience 13 00:00:57,240 --> 00:01:00,880 Speaker 1: that watches mainstream evening news is in the stock other? 14 00:01:01,160 --> 00:01:04,520 Speaker 1: Are you including four one ks in that m Maybe 15 00:01:04,560 --> 00:01:08,120 Speaker 1: maybe not. I don't know investment, but certainly the average 16 00:01:08,120 --> 00:01:10,520 Speaker 1: person watching the evening news is not into the daily 17 00:01:10,600 --> 00:01:13,000 Speaker 1: ups and downs of the stock market. True, they're in 18 00:01:13,040 --> 00:01:20,440 Speaker 1: the the long you know, the long game, and and 19 00:01:20,440 --> 00:01:25,759 Speaker 1: and very little context ever around any of this stuff anytime. 20 00:01:25,760 --> 00:01:28,600 Speaker 1: And I'm not just like now just always there's almost 21 00:01:28,680 --> 00:01:34,840 Speaker 1: no context. Biggest point drop whatever. Sometimes they use points 22 00:01:34,920 --> 00:01:38,240 Speaker 1: because it's more dramatic sometimes these percentage whatever and they 23 00:01:38,280 --> 00:01:41,679 Speaker 1: go back and forth and it's all very it's it's 24 00:01:41,720 --> 00:01:44,080 Speaker 1: it's designed to make it sound as great or as 25 00:01:44,120 --> 00:01:46,440 Speaker 1: awful as possible, to make it more exciting. But anyway, 26 00:01:46,600 --> 00:01:49,320 Speaker 1: New York christ and known this has been a big 27 00:01:49,440 --> 00:01:51,960 Speaker 1: down for the last week and a half or whatever 28 00:01:52,160 --> 00:01:53,960 Speaker 1: since the Tarif announce But no doubt about that. New 29 00:01:54,040 --> 00:01:58,160 Speaker 1: York Post headline today, buckle up NASGA, DAX suffers biggest 30 00:01:58,160 --> 00:02:01,560 Speaker 1: loss in three years. Dow falls eight after Trump recession 31 00:02:01,640 --> 00:02:05,440 Speaker 1: dodge after Trump didn't absolutely just flat out say no 32 00:02:05,560 --> 00:02:08,840 Speaker 1: to the recession question. It's amazing how much news that 33 00:02:09,040 --> 00:02:11,760 Speaker 1: made that one answer. And he knew that, Like I 34 00:02:11,800 --> 00:02:15,960 Speaker 1: said yesterday, he's aware of that, and he doubled down 35 00:02:16,000 --> 00:02:19,600 Speaker 1: on air Force one essentially. Oh, the significance of it 36 00:02:19,639 --> 00:02:22,680 Speaker 1: is he didn't say we will do everything we need 37 00:02:22,720 --> 00:02:26,000 Speaker 1: to to avoid a recession. That's why that's significant, right, 38 00:02:26,120 --> 00:02:27,760 Speaker 1: which gets to what we were saying last hour. I 39 00:02:27,840 --> 00:02:29,679 Speaker 1: wish he would give some sort of speech where he 40 00:02:29,720 --> 00:02:33,000 Speaker 1: explains what his long game end is and why I 41 00:02:33,000 --> 00:02:35,400 Speaker 1: think he can get more people on board or calmed down. 42 00:02:36,160 --> 00:02:39,560 Speaker 1: I think that is so obviously a great idea it 43 00:02:39,639 --> 00:02:43,880 Speaker 1: is shocking to me. It hasn't happened yet. Drudge hates Trump, 44 00:02:44,000 --> 00:02:48,400 Speaker 1: but his headlines economy cracks, stocks lose four trillion dollars. 45 00:02:48,560 --> 00:02:50,680 Speaker 1: Oh that That's one of the things about the news reporting. 46 00:02:50,720 --> 00:02:53,840 Speaker 1: I feel like it's for people who don't understand that 47 00:02:53,840 --> 00:02:57,240 Speaker 1: that money didn't actually disappear, never to come back. It's 48 00:02:57,520 --> 00:02:59,960 Speaker 1: the stock is down and yet adds up to four trilli. 49 00:03:00,200 --> 00:03:03,440 Speaker 1: But unless you sold yesterday, you didn't actually lose the money, 50 00:03:03,480 --> 00:03:05,200 Speaker 1: and it could be back up in two weeks and 51 00:03:05,320 --> 00:03:08,320 Speaker 1: nothing happened. I mean, well, and you quote unquote lost 52 00:03:08,320 --> 00:03:10,480 Speaker 1: the money from if you would have sold it three 53 00:03:10,520 --> 00:03:13,280 Speaker 1: weeks ago. So it's all, yeah, imaginary, it's not even 54 00:03:13,320 --> 00:03:15,919 Speaker 1: on paper. It's in the ether. Any who. So, getting 55 00:03:15,919 --> 00:03:18,440 Speaker 1: to Mark Alprin's newsletter today, I think he is a 56 00:03:18,440 --> 00:03:20,480 Speaker 1: fair arbiter of these sorts of things. He and he 57 00:03:20,520 --> 00:03:23,639 Speaker 1: gets a lot of h He has a lot of 58 00:03:23,639 --> 00:03:28,480 Speaker 1: connections in left and right, Republican and Democrat. He wrote 59 00:03:28,520 --> 00:03:32,880 Speaker 1: this Monday when job boning by all Trump economic advisors 60 00:03:32,919 --> 00:03:35,800 Speaker 1: could not stop a market selloff or deter business leaders, 61 00:03:35,880 --> 00:03:40,640 Speaker 1: economic analysts, analysts, Paul's and Trump supporters from calling, texting, 62 00:03:40,680 --> 00:03:43,600 Speaker 1: and emailing me to say the sky is falling, and 63 00:03:43,640 --> 00:03:47,360 Speaker 1: it is in their collective you explicitly and unambiguously Trump's fault. 64 00:03:48,040 --> 00:03:51,280 Speaker 1: In my career, I don't recall anything quite like Monday 65 00:03:51,360 --> 00:03:54,600 Speaker 1: as whoosh, Team Trump lost the confidence of a bunch 66 00:03:54,640 --> 00:03:57,960 Speaker 1: of key actors in one fell swoop. Thought that was 67 00:03:58,000 --> 00:04:00,280 Speaker 1: interesting that behind the scenes, a lot of people that 68 00:04:00,360 --> 00:04:03,720 Speaker 1: normally really really big on Trump, we're calling Mark Apperton 69 00:04:03,720 --> 00:04:08,480 Speaker 1: and saying, what the hell is he doing? The business world, 70 00:04:08,560 --> 00:04:12,200 Speaker 1: the American business world, was absolutely confident that Trump would 71 00:04:12,240 --> 00:04:16,360 Speaker 1: slash regulations and make permanent tax cuts and that would 72 00:04:16,400 --> 00:04:20,640 Speaker 1: be his main thrust. This whole call it protectionism, you know, 73 00:04:21,360 --> 00:04:24,400 Speaker 1: seeking a new global norm for trade, whatever you want 74 00:04:24,400 --> 00:04:27,080 Speaker 1: to call it, is surprising to them and it's led 75 00:04:27,080 --> 00:04:31,760 Speaker 1: to a great deal of uncertainty. Business hates uncertainty, right. 76 00:04:31,880 --> 00:04:33,159 Speaker 1: And then got to get to what I was talking 77 00:04:33,160 --> 00:04:36,960 Speaker 1: about yesterday, which I fully fully believe. I mean, don't 78 00:04:37,520 --> 00:04:39,880 Speaker 1: feel like the Wall Street journal crowd has your best 79 00:04:39,880 --> 00:04:42,479 Speaker 1: interest in mind. They have the best interest of like, 80 00:04:42,560 --> 00:04:45,800 Speaker 1: what's gonna make the Dow close higher today for a 81 00:04:45,839 --> 00:04:48,159 Speaker 1: lot of the crowd who actually does day trade, or 82 00:04:48,200 --> 00:04:51,640 Speaker 1: certainly this quarter, not what's best for America long term. 83 00:04:51,680 --> 00:04:54,880 Speaker 1: And you know, fortunately or unfortunately, I guess Anne Ryan 84 00:04:54,960 --> 00:04:57,040 Speaker 1: would say that's the way it's supposed to work. You know, 85 00:04:57,080 --> 00:04:59,360 Speaker 1: they're looking out for themselves. That's what drives the whole thing. 86 00:04:59,800 --> 00:05:02,839 Speaker 1: But yeah, I would say as a guy who reads 87 00:05:03,080 --> 00:05:06,719 Speaker 1: practically cover to cover the journal every single day, they 88 00:05:06,720 --> 00:05:12,479 Speaker 1: have a wide range of opinions and writers there. Not 89 00:05:12,600 --> 00:05:15,279 Speaker 1: all of them are merely chasing quarterly profits. But I 90 00:05:15,320 --> 00:05:20,520 Speaker 1: wanted to get to this and I didn't know this. 91 00:05:20,760 --> 00:05:22,600 Speaker 1: So Mark Alpernan has a bunch of links to a 92 00:05:22,640 --> 00:05:26,560 Speaker 1: whole bunch of different newspaper articles talking about the how 93 00:05:26,600 --> 00:05:29,599 Speaker 1: much damage has been done, whether it's temporary, long term, 94 00:05:29,640 --> 00:05:32,240 Speaker 1: blah blah blah. Than this team Trump came in with 95 00:05:32,320 --> 00:05:34,400 Speaker 1: the theory of the case that they could rebalance the 96 00:05:34,440 --> 00:05:38,320 Speaker 1: economy by shifting economic activity back to the private sector 97 00:05:38,640 --> 00:05:41,160 Speaker 1: from the public sector. It's part of the whole doge 98 00:05:41,200 --> 00:05:45,080 Speaker 1: thing and tariffs together. Trump advisors have said they think 99 00:05:45,120 --> 00:05:48,880 Speaker 1: the government is now twenty five percent of the economy. 100 00:05:49,560 --> 00:05:53,839 Speaker 1: Mark Awprin said, in reality, it's way higher, maybe closer 101 00:05:53,839 --> 00:05:59,360 Speaker 1: to fifty percent. Wow, what fifty percent of the economy 102 00:05:59,440 --> 00:06:02,760 Speaker 1: is the gouver with Medicare and Medicaid. No one wants 103 00:06:02,760 --> 00:06:04,839 Speaker 1: to admit it, but to a large extent, the US 104 00:06:04,920 --> 00:06:08,880 Speaker 1: economy has really just become the US government spending in transfers. 105 00:06:09,640 --> 00:06:11,479 Speaker 1: This is evidenced by the fact that we've been running 106 00:06:11,520 --> 00:06:14,920 Speaker 1: huge fiscal deficits during strong economic times. And the new 107 00:06:15,200 --> 00:06:18,240 Speaker 1: Treasury Secretary is proposed fixing this by cutting government spending 108 00:06:18,240 --> 00:06:21,480 Speaker 1: with musk combined with tariffs to rebounce trade, to rebuild 109 00:06:21,520 --> 00:06:24,960 Speaker 1: American manufacturing, but to bring it home. He gets into, 110 00:06:25,480 --> 00:06:28,200 Speaker 1: we live in a wah blah blah blah blah blah. 111 00:06:28,720 --> 00:06:32,640 Speaker 1: The top ten percent. Studies have shown there's a very 112 00:06:32,680 --> 00:06:37,960 Speaker 1: high correlation between their propensity to spend, with spending being 113 00:06:38,120 --> 00:06:40,520 Speaker 1: you know, two thirds of our economies people going out 114 00:06:40,520 --> 00:06:46,240 Speaker 1: and spending money, and where the stock prices are. For 115 00:06:46,360 --> 00:06:49,880 Speaker 1: whatever reason, when the top ten percent are feeling wealthy, 116 00:06:50,279 --> 00:06:53,960 Speaker 1: they buy stuff. But if they're not feeling wealthy, they don't. 117 00:06:54,800 --> 00:06:57,720 Speaker 1: And this especially is true now, and this could get 118 00:06:57,800 --> 00:07:04,799 Speaker 1: us into a real doom loop of uh tariffs, negative feelings, 119 00:07:04,800 --> 00:07:07,679 Speaker 1: stock market going down, people pulling back, et cetera, et cetera, 120 00:07:08,000 --> 00:07:10,760 Speaker 1: cutting the government, which is half the economy. You see, 121 00:07:10,760 --> 00:07:13,720 Speaker 1: there's the spiral. If Doge is laying off people and 122 00:07:13,760 --> 00:07:15,880 Speaker 1: cutting the government and it's fifty percent of the economy, 123 00:07:15,920 --> 00:07:18,680 Speaker 1: that automatically is going to drop the economy, which makes 124 00:07:18,680 --> 00:07:21,800 Speaker 1: the rich ten percent spend less, which drops the economy. 125 00:07:21,840 --> 00:07:23,200 Speaker 1: And it's just that, you see, it's a cycle that 126 00:07:23,240 --> 00:07:27,120 Speaker 1: could catch on. Yeah. My only objection to that theory 127 00:07:27,360 --> 00:07:30,240 Speaker 1: or a question I have about it, is that what 128 00:07:30,360 --> 00:07:36,120 Speaker 1: Doge is doing is nibbling around the edges of the 129 00:07:36,160 --> 00:07:40,640 Speaker 1: actual fiscal pie. Sure, I don't appreciate it because I 130 00:07:40,720 --> 00:07:44,600 Speaker 1: like the edges of the pie. Oh fiscal pie debitious. 131 00:07:45,320 --> 00:07:48,280 Speaker 1: And it's funny because you have conservatives saying they're they're 132 00:07:48,320 --> 00:07:51,160 Speaker 1: they're not attacking entitlements and that's most of the budget 133 00:07:51,200 --> 00:07:54,200 Speaker 1: blah blah blah blah blah. But at the same time 134 00:07:54,240 --> 00:07:56,559 Speaker 1: it might cause a doom loop. I just I don't 135 00:07:56,640 --> 00:08:02,000 Speaker 1: I don't know. Nobody ever knows on any of this stuff. 136 00:08:02,000 --> 00:08:06,240 Speaker 1: As we've said for years, because if you were the 137 00:08:06,320 --> 00:08:08,560 Speaker 1: old thing, if you ask you know, ten economists, you'll 138 00:08:08,560 --> 00:08:13,440 Speaker 1: get eleven opinions. Or there's only two people that understand 139 00:08:14,680 --> 00:08:18,360 Speaker 1: the global economy and they don't agree, you know, any 140 00:08:18,400 --> 00:08:20,600 Speaker 1: of those sayings. And but you know, if you could 141 00:08:20,640 --> 00:08:22,920 Speaker 1: predict this stuff, well, you'd be the richest person on 142 00:08:22,960 --> 00:08:26,960 Speaker 1: planet Earth, you know, immediately, so that you know, there's 143 00:08:27,000 --> 00:08:29,040 Speaker 1: a lot of moving pieces and theory and everything like that. 144 00:08:29,120 --> 00:08:33,200 Speaker 1: But I do find that very troubling. Yeah, all of 145 00:08:33,200 --> 00:08:36,360 Speaker 1: it's troubling. I find myself imagining if Trump were to 146 00:08:36,480 --> 00:08:40,440 Speaker 1: craft the sort of message you've suggested, explaining exactly what 147 00:08:40,520 --> 00:08:43,920 Speaker 1: his goals are, why it's going to be worth enduring 148 00:08:43,920 --> 00:08:46,439 Speaker 1: a bit of pain or upheaval for a while, be 149 00:08:46,600 --> 00:08:49,079 Speaker 1: it two years or more likely five or ten or 150 00:08:49,080 --> 00:08:54,800 Speaker 1: fifteen or twenty years, because that would get the popular support. 151 00:08:54,840 --> 00:08:59,080 Speaker 1: Doing something difficult would require, because there's one thing democracies 152 00:08:59,120 --> 00:09:03,080 Speaker 1: are terrible at. That's doing what is difficult. Like in 153 00:09:03,120 --> 00:09:05,640 Speaker 1: your family, you could say, hey, we are going to 154 00:09:05,720 --> 00:09:10,000 Speaker 1: severely restrict spending for this year to get a down 155 00:09:10,040 --> 00:09:13,280 Speaker 1: payment together to buy the house or make the investment 156 00:09:13,360 --> 00:09:16,040 Speaker 1: or open the business we've long dreamed of. People You're 157 00:09:16,080 --> 00:09:17,600 Speaker 1: on the wall of a house with a pool and 158 00:09:17,600 --> 00:09:19,960 Speaker 1: say this is why we're doing it. Yeah. You know, 159 00:09:20,040 --> 00:09:22,320 Speaker 1: I've always been a fan of the like the thermometer 160 00:09:22,440 --> 00:09:25,840 Speaker 1: thing where you actually track your savings, because it gives 161 00:09:25,880 --> 00:09:27,920 Speaker 1: you enthusiasm for it. Judy and I used to do 162 00:09:27,960 --> 00:09:31,319 Speaker 1: that when we were young. Anyway, as a family, you 163 00:09:31,360 --> 00:09:35,240 Speaker 1: can do that. But democracies are famously horrible at saying 164 00:09:35,280 --> 00:09:37,240 Speaker 1: all right, we're all going to endure some pain for 165 00:09:37,280 --> 00:09:40,240 Speaker 1: a while an austerity plan. It happens. I don't think 166 00:09:40,559 --> 00:09:42,200 Speaker 1: it's hard to get going. I don't think we're grown 167 00:09:42,280 --> 00:09:45,280 Speaker 1: up enough for this. I think we're too used to 168 00:09:45,760 --> 00:09:49,640 Speaker 1: easy sale in smooth saleing. But even if Trump were 169 00:09:49,679 --> 00:09:53,160 Speaker 1: to do that, though, Wall Street would probably freak out 170 00:09:53,200 --> 00:09:56,520 Speaker 1: for a while, and then people would see it, would 171 00:09:56,600 --> 00:09:59,719 Speaker 1: check their four to one k's and freak out. And 172 00:10:00,960 --> 00:10:04,000 Speaker 1: I just I don't know if we have the right 173 00:10:04,080 --> 00:10:10,880 Speaker 1: stuff to institute what Trump's talking about before it's a 174 00:10:10,920 --> 00:10:14,680 Speaker 1: horrible emergency. Well, imagine if Trump or somebody representing Trump 175 00:10:14,880 --> 00:10:17,400 Speaker 1: came out and gave a speech says, look, half the 176 00:10:17,440 --> 00:10:19,720 Speaker 1: economy is the government. Do you know that half the 177 00:10:19,760 --> 00:10:23,000 Speaker 1: economy's the government? And that can't be that's not sustainable. 178 00:10:23,120 --> 00:10:25,120 Speaker 1: And our debt is this, and our deficit is this, 179 00:10:25,240 --> 00:10:28,760 Speaker 1: and you know our payments are this, and blah blah blah. 180 00:10:28,840 --> 00:10:31,839 Speaker 1: And if that wasn't go ahead, sorry there's more. No, 181 00:10:31,920 --> 00:10:34,120 Speaker 1: that's fine. I was gonna say, and if if that 182 00:10:34,240 --> 00:10:37,160 Speaker 1: wasn't bad enough, folks, here's the chunk of the economy 183 00:10:37,320 --> 00:10:41,280 Speaker 1: that would collapse and you would starve if China decides 184 00:10:41,320 --> 00:10:44,360 Speaker 1: to jump ugly. So A, we got to reign in 185 00:10:44,400 --> 00:10:47,280 Speaker 1: the government. B we've got to wean ourselves from being 186 00:10:47,440 --> 00:10:52,320 Speaker 1: China junkies. Their economic heroin is they're gonna pull it 187 00:10:52,360 --> 00:10:54,400 Speaker 1: back on us and we're gonna be on our hands 188 00:10:54,400 --> 00:10:57,160 Speaker 1: and knees and our economy is gonna be puking and 189 00:10:57,200 --> 00:11:00,480 Speaker 1: turning green and pooping on itself. Wow, because they're gonna 190 00:11:00,480 --> 00:11:03,000 Speaker 1: pull it out cold turkey. Do you want that? Do 191 00:11:03,040 --> 00:11:06,200 Speaker 1: you want that? Huh? Okay, we're going to restructure the economy. 192 00:11:06,280 --> 00:11:09,960 Speaker 1: You would be a disgusting economics teacher. Yeah, but compelling. 193 00:11:10,600 --> 00:11:14,360 Speaker 1: M Uh. There's no way this works because we have 194 00:11:14,400 --> 00:11:17,880 Speaker 1: an election every two years. We're already like a year 195 00:11:17,920 --> 00:11:23,760 Speaker 1: away from constantly talking about the mid terms and uh, 196 00:11:23,840 --> 00:11:27,080 Speaker 1: and the Democrats are gonna run on He says, we 197 00:11:27,160 --> 00:11:29,560 Speaker 1: can't blah blah blah. We say you you we can 198 00:11:30,480 --> 00:11:34,200 Speaker 1: lose with me. Everybody says, yeah, I want everything for nothing, 199 00:11:34,480 --> 00:11:39,200 Speaker 1: and there you go. So to summarize, we're toomed I'm 200 00:11:39,280 --> 00:11:43,560 Speaker 1: moving along aren't you glad you tuned in? Oh boy, Well, 201 00:11:43,840 --> 00:11:46,800 Speaker 1: but everybody should me and everyone we should realize that 202 00:11:46,840 --> 00:11:49,840 Speaker 1: we're not retiring today. What the stock market does today, 203 00:11:49,920 --> 00:11:53,000 Speaker 1: unless you are retiring today, somebody listening somewhere, and so 204 00:11:53,360 --> 00:11:56,520 Speaker 1: I hope you would have restructured your you know, your investments. 205 00:11:56,559 --> 00:11:59,080 Speaker 1: If somebody somewhere on our seventy stations is listening, is 206 00:11:59,120 --> 00:12:03,600 Speaker 1: retiring today or yesterday, he retired yesterday, I understand while 207 00:12:03,600 --> 00:12:11,880 Speaker 1: you're upset. Sorry, sorry, oh man, that's something I wanted 208 00:12:11,920 --> 00:12:16,760 Speaker 1: to tease. Well, yeah, there's a yeah, my golly. There 209 00:12:16,760 --> 00:12:19,320 Speaker 1: are a couple of stories that are the classic if 210 00:12:19,360 --> 00:12:21,000 Speaker 1: it was if the shoe was on the other foot, 211 00:12:21,000 --> 00:12:24,880 Speaker 1: they would be enormous, enormous stories. We will bring them 212 00:12:25,000 --> 00:12:28,400 Speaker 1: to you so you get a better rounded perspective on 213 00:12:29,200 --> 00:12:31,959 Speaker 1: life in America. Well, yeah, and the arrest of that 214 00:12:32,600 --> 00:12:37,040 Speaker 1: so called terrorist Columbia student kid. That's pretty interesting from 215 00:12:37,080 --> 00:12:39,679 Speaker 1: a whole free speech standpoint. We need to talk a 216 00:12:39,720 --> 00:12:43,839 Speaker 1: little more about that. Yeah. I will not, and I'm 217 00:12:43,840 --> 00:12:46,720 Speaker 1: sure most of you will not trade the principles that 218 00:12:46,800 --> 00:12:50,120 Speaker 1: made this country great to keep it great. That's fascism 219 00:12:50,200 --> 00:12:52,040 Speaker 1: and it's ugly. On the other hand. I want the 220 00:12:52,120 --> 00:12:54,559 Speaker 1: jihaties thrown out on their ears. So let's strike a 221 00:12:54,600 --> 00:12:56,240 Speaker 1: good balance, can we. I also want to tell you 222 00:12:56,280 --> 00:12:59,200 Speaker 1: about Bernie Sanders trans rally he had over the weekend 223 00:12:59,200 --> 00:13:02,840 Speaker 1: that didn't get enough attention. She had a penis No, 224 00:13:03,000 --> 00:13:06,360 Speaker 1: he does not. He is, Oh, well, what did it 225 00:13:06,440 --> 00:13:09,800 Speaker 1: cost to come over with venus twenty seven dollars? Stay 226 00:13:09,800 --> 00:13:17,120 Speaker 1: with us? I hate spring forward so much, and this 227 00:13:17,559 --> 00:13:20,840 Speaker 1: to me, this is Donald Trump's big opportunity. We want 228 00:13:20,840 --> 00:13:23,840 Speaker 1: to make America great again, and this daylight saving madness 229 00:13:23,840 --> 00:13:27,760 Speaker 1: will ever look up puzzles, I dare way, thank you. 230 00:13:30,760 --> 00:13:35,440 Speaker 1: By the way, We'll do this all over again next 231 00:13:35,520 --> 00:13:39,120 Speaker 1: year on six months. But so we want whatever we 232 00:13:39,200 --> 00:13:42,320 Speaker 1: got now right permanently. Is that what we want? Yeah, 233 00:13:42,320 --> 00:13:44,400 Speaker 1: there's some problems with the kids having to get up 234 00:13:44,400 --> 00:13:47,480 Speaker 1: in the darkness. Scientists say, is really like I keep saying, 235 00:13:47,520 --> 00:13:51,120 Speaker 1: let's try it once, let's try it once, and whatever 236 00:13:51,200 --> 00:13:54,439 Speaker 1: he says. So he's choosing golfers playing in the afternoon 237 00:13:54,559 --> 00:13:58,840 Speaker 1: meet and I'm happy over America's children. You must let's 238 00:13:58,840 --> 00:14:01,280 Speaker 1: see if it's true. Try it once and see what 239 00:14:01,440 --> 00:14:03,360 Speaker 1: all that was? Horrible? My kid couldn't get out of 240 00:14:03,440 --> 00:14:05,800 Speaker 1: bed and he got run over by the bus whatever, 241 00:14:06,559 --> 00:14:08,680 Speaker 1: or find a way to move school back by a 242 00:14:08,720 --> 00:14:10,760 Speaker 1: little bit of time, and employers that say, oh, you 243 00:14:10,800 --> 00:14:13,640 Speaker 1: got to come in at nine thirty instead of nine 244 00:14:14,280 --> 00:14:16,840 Speaker 1: for a while. Okay, that's fine. Yeah, it's not like 245 00:14:16,920 --> 00:14:21,320 Speaker 1: it'll cause you know, cataclysms, rains of fire from the sky, 246 00:14:21,440 --> 00:14:24,920 Speaker 1: a plague of front. The fact that Arizona doesn't do it, 247 00:14:25,320 --> 00:14:28,320 Speaker 1: and there aren't stacks of dead children. I mean, I don't. 248 00:14:28,360 --> 00:14:32,160 Speaker 1: I don't get why are there the states around Arizona 249 00:14:32,720 --> 00:14:37,480 Speaker 1: and the same you know, time zone of when the 250 00:14:37,520 --> 00:14:39,560 Speaker 1: sun comes up and comes down. Me and I don't 251 00:14:39,560 --> 00:14:42,000 Speaker 1: get it. We've got it. We've got one state that 252 00:14:42,160 --> 00:14:44,800 Speaker 1: does it, and it's not like hell there, they don't. 253 00:14:44,840 --> 00:14:47,120 Speaker 1: Everybody I wanted to live in Arizona, I had to 254 00:14:47,120 --> 00:14:49,440 Speaker 1: move because I don't change the clocks. I got to 255 00:14:49,480 --> 00:14:51,680 Speaker 1: call my dad to make sure he's still alive after 256 00:14:51,800 --> 00:14:57,040 Speaker 1: the non time change in Arizona. Oh my, you're so right. 257 00:14:58,640 --> 00:15:00,880 Speaker 1: These stories would be ginormous if the shoe was on 258 00:15:00,880 --> 00:15:02,880 Speaker 1: the other foot. And you know, the fun has gone 259 00:15:02,880 --> 00:15:05,240 Speaker 1: out of beating up the media. Honestly, I think everybody's 260 00:15:05,240 --> 00:15:09,080 Speaker 1: gotten the word. They're wildly ideological. They're uniformly left. They're 261 00:15:09,280 --> 00:15:14,840 Speaker 1: just clickbait driven sensationalist cranks and should be mostly ignored. 262 00:15:15,000 --> 00:15:18,720 Speaker 1: But the stories they ignore are also worth hearing. For instance, 263 00:15:19,280 --> 00:15:24,840 Speaker 1: a leftist UCLA law professor, This is not some sort 264 00:15:24,880 --> 00:15:29,160 Speaker 1: of gender studies dope. This is a law professor at 265 00:15:29,240 --> 00:15:33,920 Speaker 1: UCLA has called from military insurrection against President Trump. Oh 266 00:15:33,960 --> 00:15:36,240 Speaker 1: my god, how do you keep your job after that? 267 00:15:36,880 --> 00:15:39,800 Speaker 1: Professor Peter Aronella. At this point, my only hope for 268 00:15:39,840 --> 00:15:42,040 Speaker 1: the US to avoid becoming an ally to Russia is 269 00:15:42,080 --> 00:15:45,480 Speaker 1: a violent resistance by our military. Tragic to say that, 270 00:15:45,560 --> 00:15:49,240 Speaker 1: because the military is trained to avoid any political motivated intervention. Yeah, 271 00:15:49,240 --> 00:15:52,280 Speaker 1: firing all the Joint chiefs and military leaders blah blah blah, 272 00:15:52,320 --> 00:15:56,400 Speaker 1: and for good reason. Ultimately, we will get what we 273 00:15:56,600 --> 00:15:59,200 Speaker 1: deserve by giving Trump a second chance to destroy our 274 00:15:59,240 --> 00:16:04,920 Speaker 1: democracy armed exertion. All right, crackpot. America's law schools are 275 00:16:05,120 --> 00:16:09,640 Speaker 1: absolutely as bad as any other province of the educational 276 00:16:09,640 --> 00:16:12,560 Speaker 1: system right now in terms of being wildly woe. Your 277 00:16:12,680 --> 00:16:16,760 Speaker 1: kid got into UCLA law school. You're paying a ridiculous 278 00:16:16,760 --> 00:16:19,240 Speaker 1: amount of money, and that guy is teaching your kid 279 00:16:19,800 --> 00:16:24,200 Speaker 1: right right, and accepting some really really good law schools 280 00:16:24,240 --> 00:16:26,800 Speaker 1: where they point out, hey, now this is my opinion 281 00:16:26,840 --> 00:16:30,360 Speaker 1: on this. A conservative scholar would tell you this is 282 00:16:30,400 --> 00:16:32,800 Speaker 1: the way to interpret these laws, and where that happens, 283 00:16:32,800 --> 00:16:35,600 Speaker 1: it's great. That is far from universal. An adult male 284 00:16:35,640 --> 00:16:38,920 Speaker 1: brandishing a firearm was shot by US Secret Service officers 285 00:16:39,000 --> 00:16:43,600 Speaker 1: near the White House shortly after midnight on Sunday. Saw that. Yeah, 286 00:16:43,840 --> 00:16:47,880 Speaker 1: the local police at earlier reported a suicidal individual possibly 287 00:16:47,920 --> 00:16:51,960 Speaker 1: traveling to DC from Indiana. You're in Indiana, you're suicidal, 288 00:16:52,120 --> 00:16:55,120 Speaker 1: and so what is your plan exactly? They knew about 289 00:16:55,160 --> 00:16:57,880 Speaker 1: this guy too. They suicide by cop. They'd picked up 290 00:16:57,920 --> 00:16:59,800 Speaker 1: his social media or something, so they were aware of 291 00:16:59,840 --> 00:17:03,040 Speaker 1: him before he even got there. Yeah, Trump was at 292 00:17:03,080 --> 00:17:05,240 Speaker 1: mar Lago, by the way, so it was never at risk, 293 00:17:05,520 --> 00:17:07,520 Speaker 1: even though he wouldn't be much at risk. Don't have 294 00:17:07,560 --> 00:17:09,480 Speaker 1: time for this, but Christy Noman has figured out a 295 00:17:09,480 --> 00:17:11,720 Speaker 1: couple of the leakers leaking the ICE operations. 296 00:17:11,800 --> 00:17:17,480 Speaker 3: How it wasn't dogs Armstrong and Getty. 297 00:17:19,000 --> 00:17:22,360 Speaker 1: So Elon Musk, in a long ranging interview, said this yesterday, 298 00:17:22,840 --> 00:17:24,720 Speaker 1: And we just did a bunch of economic stuff. Going 299 00:17:24,760 --> 00:17:26,680 Speaker 1: to give you a short version of some breaking news 300 00:17:26,680 --> 00:17:29,440 Speaker 1: here and then we'll fill in all the blanks maybe 301 00:17:29,440 --> 00:17:31,800 Speaker 1: an hour three. But Elon Musk said this yesterday. 302 00:17:32,720 --> 00:17:35,760 Speaker 3: I mean the ways important in entitlement spending, which is 303 00:17:36,080 --> 00:17:38,200 Speaker 3: all of the which is most of the federal spending 304 00:17:38,240 --> 00:17:43,440 Speaker 3: is entitlements. So that's that's like the big one to 305 00:17:43,520 --> 00:17:45,200 Speaker 3: eliminate is that's the show. 306 00:17:45,200 --> 00:17:47,080 Speaker 1: So there you go. That's all you need to hear there. 307 00:17:47,400 --> 00:17:51,399 Speaker 1: Elon Musk touched, the has been the third Raila government 308 00:17:51,400 --> 00:17:54,720 Speaker 1: of my whole wife. You can't talk about cutting entitlements. 309 00:17:54,840 --> 00:17:59,000 Speaker 1: Speaker Johnson just came out with the big bill, the 310 00:17:59,000 --> 00:18:03,200 Speaker 1: big tax cut, a giant everything thrown into one bill bill. 311 00:18:03,640 --> 00:18:06,480 Speaker 1: Speaker Johnson just said, and there's no entitlement cuts on 312 00:18:06,520 --> 00:18:08,760 Speaker 1: the table. Zero. So you want to make that very 313 00:18:08,840 --> 00:18:12,399 Speaker 1: very clear. With Elon having said that yesterday. Then the 314 00:18:12,440 --> 00:18:17,120 Speaker 1: other news is Trump has doubled the tariffs on Canada 315 00:18:17,240 --> 00:18:21,040 Speaker 1: aluminum and something else twenty five percent in addition to 316 00:18:21,080 --> 00:18:24,040 Speaker 1: the previous twenty five percent is now fifty percent. So 317 00:18:24,320 --> 00:18:28,040 Speaker 1: more on that later. Yeah, a couple of things. First 318 00:18:28,080 --> 00:18:30,399 Speaker 1: of all, I came across a really informative but really 319 00:18:30,400 --> 00:18:35,120 Speaker 1: complicated analysis of how medicaid medicare work and how they're 320 00:18:35,119 --> 00:18:37,320 Speaker 1: funded by the states and the federal government and what 321 00:18:37,359 --> 00:18:41,120 Speaker 1: the states do determines the amount of federal government support. 322 00:18:41,200 --> 00:18:43,840 Speaker 1: But the states have flexibility that the federal government is 323 00:18:43,880 --> 00:18:47,680 Speaker 1: responding to. And the longest short of it is, it's 324 00:18:47,720 --> 00:18:51,280 Speaker 1: so intertwined, so expensive, and there are so many people 325 00:18:51,400 --> 00:18:56,760 Speaker 1: dependent on it now that undoing and Obamacare is a 326 00:18:56,880 --> 00:19:00,600 Speaker 1: huge factor in it too, and compensation rates for I mean, 327 00:19:00,640 --> 00:19:05,000 Speaker 1: it's all in medical procedures. It's all just a complex 328 00:19:05,160 --> 00:19:08,320 Speaker 1: stew of Oh my lord, how do we untangle this? 329 00:19:08,760 --> 00:19:10,159 Speaker 1: And I was trying to figure out if it was 330 00:19:10,200 --> 00:19:13,359 Speaker 1: even conceivable to present it to you all, if you 331 00:19:13,359 --> 00:19:15,240 Speaker 1: don't like, have the charts in front of you, and 332 00:19:15,240 --> 00:19:19,119 Speaker 1: I decided probably not. But I'm telling you, it is 333 00:19:19,200 --> 00:19:20,439 Speaker 1: truly a Gordian knot. 334 00:19:20,480 --> 00:19:20,560 Speaker 3: So. 335 00:19:20,680 --> 00:19:23,119 Speaker 1: My financial advisor said to me the other day, we're 336 00:19:23,200 --> 00:19:26,680 Speaker 1: just having a just kind of sitting around shooting the bull, 337 00:19:26,720 --> 00:19:31,520 Speaker 1: as they say, talking about social security, and I said, 338 00:19:31,560 --> 00:19:33,720 Speaker 1: you know, if I ever get my soci security, and 339 00:19:34,080 --> 00:19:35,760 Speaker 1: he had presented to me what I was going to 340 00:19:35,840 --> 00:19:37,320 Speaker 1: get in social security, which is more than I thought 341 00:19:37,320 --> 00:19:39,439 Speaker 1: it was going to be. But I said, well, if 342 00:19:39,480 --> 00:19:40,720 Speaker 1: I ever get it, and he said, you'll get it, 343 00:19:40,720 --> 00:19:42,920 Speaker 1: but your kids won't do you do you think that's 344 00:19:42,960 --> 00:19:48,200 Speaker 1: the yeah, most likely outcome. That's pretty pretty good prediction. 345 00:19:49,480 --> 00:19:51,640 Speaker 1: And he's a smart guy too, so I know him 346 00:19:51,680 --> 00:19:55,159 Speaker 1: as well, and uh yeah, that sounds about right. Yep, wow, 347 00:19:55,320 --> 00:20:00,920 Speaker 1: so yeah, I know. Wow. It's just hey, too depressing. 348 00:20:01,320 --> 00:20:04,159 Speaker 1: I'm going to stop myself for once, that little self restraint. 349 00:20:05,520 --> 00:20:07,239 Speaker 1: So that was the first point I want to make. 350 00:20:07,240 --> 00:20:12,440 Speaker 1: The second point re Canada is I really truly don't 351 00:20:12,480 --> 00:20:17,080 Speaker 1: get what Trump is trying to accomplish with Canada specifically, 352 00:20:17,080 --> 00:20:20,280 Speaker 1: which is one of our closest allies. And he set 353 00:20:20,359 --> 00:20:23,399 Speaker 1: the trade deal with them last time around, which is, 354 00:20:23,600 --> 00:20:26,840 Speaker 1: you know, four and a half short years ago. Well 355 00:20:26,880 --> 00:20:29,320 Speaker 1: I guess the trade deal itself was more than that. 356 00:20:29,359 --> 00:20:35,200 Speaker 1: But anyway, I'm confused, and so are the Canadians. And 357 00:20:35,400 --> 00:20:36,879 Speaker 1: I don't think this is going to help us in 358 00:20:36,920 --> 00:20:38,600 Speaker 1: the long time. We're going to build an igloo and 359 00:20:38,640 --> 00:20:41,160 Speaker 1: Canada is going to pay for it, all right, Well 360 00:20:41,200 --> 00:20:45,919 Speaker 1: that's a plan anyway. Oh. Oh, the part of the 361 00:20:45,960 --> 00:20:51,840 Speaker 1: tariffs thing that I don't quite get is the tariffs 362 00:20:51,880 --> 00:20:57,040 Speaker 1: are super important to rebuild American manufacturing and steal and 363 00:20:57,160 --> 00:21:00,199 Speaker 1: aluminum capacity and the rest of it, to forge the 364 00:21:00,240 --> 00:21:03,520 Speaker 1: future and they're gonna go away as soon as Canada 365 00:21:03,520 --> 00:21:07,119 Speaker 1: helps us with the fentanyl, or Mexico as soon as 366 00:21:07,160 --> 00:21:10,680 Speaker 1: they give in to It's like, it's like a circular argument, 367 00:21:11,119 --> 00:21:14,159 Speaker 1: and I just, I honestly don't get it. On the 368 00:21:14,160 --> 00:21:16,679 Speaker 1: other hand, this I thought this was very, very informative 369 00:21:20,400 --> 00:21:25,840 Speaker 1: on the issue of Canada and the drug trade. Why 370 00:21:25,840 --> 00:21:28,840 Speaker 1: don't you say you understand from a former senior law 371 00:21:28,920 --> 00:21:32,560 Speaker 1: enforcement official in northwest Montana that the numbers that are 372 00:21:32,600 --> 00:21:36,600 Speaker 1: being reported regarding drug trafficking across the Canadian border are 373 00:21:36,680 --> 00:21:40,040 Speaker 1: off by at least an order of magnitude. It's more 374 00:21:40,160 --> 00:21:43,480 Speaker 1: like twenty percent versus the two percent that's being reported 375 00:21:44,560 --> 00:21:48,399 Speaker 1: I met, writes the former senior law enforcement official in 376 00:21:48,440 --> 00:21:51,800 Speaker 1: northwest Montana. I met with the local DEA folks regarding 377 00:21:51,840 --> 00:21:55,119 Speaker 1: fentanyl precursors and finished products being sent across the border 378 00:21:55,280 --> 00:21:58,399 Speaker 1: and being manufactured and distributed across the millions of acres 379 00:21:58,440 --> 00:22:02,200 Speaker 1: of tribal reservation land as the staging area. He claimed 380 00:22:02,240 --> 00:22:05,520 Speaker 1: to have no knowledge of this. A year later, it 381 00:22:05,640 --> 00:22:09,040 Speaker 1: was a major priority for the DEA in Montana. What 382 00:22:09,080 --> 00:22:11,760 Speaker 1: this indicates is a massive disconnect between what the federal 383 00:22:11,800 --> 00:22:14,399 Speaker 1: law enforcement folks are hearing and the local sheriffs are 384 00:22:14,440 --> 00:22:17,399 Speaker 1: observing in their counties. This may account for the differential 385 00:22:17,400 --> 00:22:20,119 Speaker 1: and what the FEDS now know and how those percentages 386 00:22:20,119 --> 00:22:22,440 Speaker 1: are being reported in the news, likely sourced from old 387 00:22:22,520 --> 00:22:25,800 Speaker 1: data that is misleading. On the street, sheriff's deputies and 388 00:22:25,840 --> 00:22:28,560 Speaker 1: detectives are seeing a massive increase in the quantity of 389 00:22:28,600 --> 00:22:31,240 Speaker 1: fentanyl and other drugs that are definitely not coming up 390 00:22:31,240 --> 00:22:35,280 Speaker 1: from the Southern border. I thought that was an interesting perspective, 391 00:22:35,680 --> 00:22:39,160 Speaker 1: and I had repeated the off sited. You know it's 392 00:22:39,200 --> 00:22:42,000 Speaker 1: two or three percent figure. That person seems to be 393 00:22:42,119 --> 00:22:45,080 Speaker 1: in the know, I know who it is, has no 394 00:22:45,160 --> 00:22:49,720 Speaker 1: acts to grind. Well, interesting perspective just from a logical standpoint. 395 00:22:49,720 --> 00:22:53,880 Speaker 1: If you really crack down on the cartel's business coming 396 00:22:53,920 --> 00:22:59,639 Speaker 1: across the southern border, they're not dumb. Well, what's a 397 00:22:59,640 --> 00:23:01,840 Speaker 1: different way to get our drugs into the United States? 398 00:23:01,880 --> 00:23:07,200 Speaker 1: How about the longest undefended border in the world right right, 399 00:23:07,280 --> 00:23:12,199 Speaker 1: and vast tribal areas that are effectively not under the 400 00:23:12,200 --> 00:23:15,680 Speaker 1: control of most law enforcement other than the tribal police, 401 00:23:15,720 --> 00:23:19,399 Speaker 1: depending on what country you're talking about. Although while all 402 00:23:19,440 --> 00:23:22,000 Speaker 1: that I think is one hundred percent true, that's not 403 00:23:22,040 --> 00:23:24,119 Speaker 1: why Trump is doing the tariffs. It's part of his 404 00:23:24,200 --> 00:23:27,240 Speaker 1: restructuring the World Economic Plan. He's got to use the 405 00:23:27,480 --> 00:23:31,520 Speaker 1: drug thing as a emergency reason to do it, right, 406 00:23:32,040 --> 00:23:35,480 Speaker 1: Oh right, that's just the legal pretext. Yeah, how soon 407 00:23:35,520 --> 00:23:39,480 Speaker 1: until the Supreme Court rules on that whether his use 408 00:23:39,560 --> 00:23:43,000 Speaker 1: of the emergency tariff powers is a legitimate use of 409 00:23:43,040 --> 00:23:46,240 Speaker 1: executive power. I don't know. I'm always amazed how much 410 00:23:47,440 --> 00:23:52,480 Speaker 1: leeway governors and presidents are given re emergency powers. It 411 00:23:52,600 --> 00:23:56,760 Speaker 1: takes way freaking too much, in my opinion, not this specifically, 412 00:23:57,000 --> 00:23:59,280 Speaker 1: but if you want to talk about one principle that 413 00:23:59,320 --> 00:24:02,040 Speaker 1: we all ought to be rallying around, it's that when 414 00:24:02,040 --> 00:24:07,520 Speaker 1: the other guys in office, they will cite often imaginary 415 00:24:07,640 --> 00:24:11,959 Speaker 1: emergencies and do things we abhor, so we can't let 416 00:24:12,040 --> 00:24:21,520 Speaker 1: our guy do it. I was hearing about fentanyl. What 417 00:24:21,680 --> 00:24:23,879 Speaker 1: new story I hear today about fentanyl addicts? I never 418 00:24:23,880 --> 00:24:26,399 Speaker 1: thought about a fentanyl addict because I just always assume 419 00:24:26,440 --> 00:24:29,359 Speaker 1: you died pretty quickly. So it's not like, you know, 420 00:24:29,520 --> 00:24:31,800 Speaker 1: RFK Junior was a heroin addict for what do you say, 421 00:24:31,880 --> 00:24:34,560 Speaker 1: seventeen years or something like that, twelve whatever it was. 422 00:24:34,560 --> 00:24:36,840 Speaker 1: It was long time, ridiculously long time to be. You 423 00:24:36,840 --> 00:24:39,480 Speaker 1: can't be a fentanyl addict for that long, can you. No, 424 00:24:39,560 --> 00:24:44,040 Speaker 1: you're on a tight rope because it's so easy to overdose. Yeah. Hey, 425 00:24:44,160 --> 00:24:45,879 Speaker 1: by the way, back to the tariff thing, And that 426 00:24:45,920 --> 00:24:48,840 Speaker 1: wasn't an argument against the tariffs per se, but just 427 00:24:48,920 --> 00:24:51,960 Speaker 1: emergency powers. If the tariffs are such a good idea, 428 00:24:52,320 --> 00:24:54,359 Speaker 1: and as Jack said, Trump needs to make this speech. 429 00:24:54,600 --> 00:24:57,280 Speaker 1: We need to restructure the American economy because the global 430 00:24:57,280 --> 00:24:59,880 Speaker 1: economy is changing so fast and not for our good. 431 00:25:00,320 --> 00:25:03,879 Speaker 1: And China were addicted to the heroine of Chinese manufacturing 432 00:25:03,920 --> 00:25:06,080 Speaker 1: and blah blah blah. That's screed. I on leashed earlier. 433 00:25:07,000 --> 00:25:12,200 Speaker 1: Have Congress passed the laws. Have those useless cowards who 434 00:25:12,280 --> 00:25:17,479 Speaker 1: are in the article one branch of government, not as 435 00:25:17,560 --> 00:25:20,680 Speaker 1: Nixon said, a coequal branch. They're in the main branch 436 00:25:20,800 --> 00:25:26,040 Speaker 1: of government. Have those lazy, rotten fundraising bastards do something 437 00:25:26,280 --> 00:25:32,639 Speaker 1: if it's such a good idea, click baiting Instagram abusing 438 00:25:32,920 --> 00:25:36,320 Speaker 1: fundraising bastards. I stand by those words. One thing we 439 00:25:36,359 --> 00:25:38,320 Speaker 1: do on the Armstrong and Getty radio show, if you're 440 00:25:38,359 --> 00:25:41,399 Speaker 1: new to it because we've added new stations, is we 441 00:25:41,480 --> 00:25:44,720 Speaker 1: try to remember what things like are actually going to 442 00:25:44,760 --> 00:25:46,720 Speaker 1: matter to you in your real life today. I mean, 443 00:25:46,800 --> 00:25:49,159 Speaker 1: like the whole tariff thing in economy, obviously that matters, 444 00:25:50,160 --> 00:25:52,320 Speaker 1: but like getting a good night's sleep, and that sounded 445 00:25:52,359 --> 00:25:54,960 Speaker 1: like that sounded like a transition into an AD. That's 446 00:25:54,960 --> 00:25:57,680 Speaker 1: why we suggested to say, I don't I don't have this. 447 00:25:58,160 --> 00:26:00,680 Speaker 1: I don't have this AD really sounded like transition to 448 00:26:00,760 --> 00:26:02,960 Speaker 1: it alive and dead. But that's not what I was doing. 449 00:26:03,080 --> 00:26:05,600 Speaker 1: I mentioned earlier, I slept the last two nights all 450 00:26:05,680 --> 00:26:07,479 Speaker 1: night long for the first time, and I don't know 451 00:26:07,520 --> 00:26:11,240 Speaker 1: how long, many many many months, maybe a year, because 452 00:26:11,280 --> 00:26:15,160 Speaker 1: I took Valerian root and magnesium, And I really think 453 00:26:15,200 --> 00:26:19,520 Speaker 1: that's why we got this text. Magnesium is vital for 454 00:26:19,560 --> 00:26:23,520 Speaker 1: sleep and also regulates melatonin production and release, and studies 455 00:26:23,520 --> 00:26:27,480 Speaker 1: show this Valerian roote currently has no strong clinical evidence 456 00:26:27,520 --> 00:26:30,479 Speaker 1: of being useful for sleep. Just FYI from a fellow 457 00:26:30,480 --> 00:26:33,560 Speaker 1: insomnia supper. So I don't know that both have kept 458 00:26:33,600 --> 00:26:36,720 Speaker 1: me asleep, and I don't know which one might be 459 00:26:36,800 --> 00:26:39,600 Speaker 1: keeping me asleep. But I'm just telling you I've taken 460 00:26:39,640 --> 00:26:41,960 Speaker 1: them both, and I've slept all night long, two nights 461 00:26:41,960 --> 00:26:44,920 Speaker 1: in a row. And then we run into the ever 462 00:26:45,000 --> 00:26:48,400 Speaker 1: present question. If you're taking like a multi vitamin, are 463 00:26:48,440 --> 00:26:51,760 Speaker 1: you getting plenty of magnesium? And if you take a supplement, 464 00:26:51,800 --> 00:26:56,080 Speaker 1: you're just going to secrete it right in the way 465 00:26:56,080 --> 00:27:00,119 Speaker 1: that humans get rid of extra stuff. Yeah, keying, I'm sorry? 466 00:27:00,119 --> 00:27:02,720 Speaker 1: What am I tap dancing around this? You're gonnat urinated out. 467 00:27:04,040 --> 00:27:04,240 Speaker 4: Or not? 468 00:27:04,560 --> 00:27:06,600 Speaker 1: I would like to know that because I take your 469 00:27:06,600 --> 00:27:10,520 Speaker 1: standard older guy multi, then you probably get plenty of magnesium. 470 00:27:10,640 --> 00:27:12,560 Speaker 1: I don't get I don't think I get any Valerian 471 00:27:12,640 --> 00:27:18,800 Speaker 1: root in my diet though. So if this turns out 472 00:27:18,800 --> 00:27:20,359 Speaker 1: to work, away did this is one of the best 473 00:27:20,440 --> 00:27:22,159 Speaker 1: pieces of news I've had in my life in a 474 00:27:22,160 --> 00:27:25,960 Speaker 1: long time. If I've stumbled upon something that is going 475 00:27:26,040 --> 00:27:28,000 Speaker 1: to help me sleep all night long, this is freaking awesome. 476 00:27:28,000 --> 00:27:30,120 Speaker 1: So I'm just passing along. I tried it. It work 477 00:27:30,920 --> 00:27:33,720 Speaker 1: right right, good luck? Let us say your results, may Harry, 478 00:27:33,880 --> 00:27:37,359 Speaker 1: let us know. So Bernie Sanders had a trans rally 479 00:27:37,359 --> 00:27:43,199 Speaker 1: over the weekend in Milwaukee, of all places. He was 480 00:27:43,240 --> 00:27:45,879 Speaker 1: a she, now she is a he, and we must 481 00:27:45,920 --> 00:27:51,479 Speaker 1: respect that. The Democratic Party doubling down on an issue 482 00:27:51,480 --> 00:27:54,000 Speaker 1: that is like ninety ten. Trump said the other day, 483 00:27:54,000 --> 00:27:56,680 Speaker 1: I think it's more like eighty twenty, but still millionaires 484 00:27:56,720 --> 00:28:04,280 Speaker 1: and billionaires should not be the only people to re genitals. Anyway, 485 00:28:04,280 --> 00:28:05,800 Speaker 1: I got that and a bunch of other stuff on 486 00:28:05,800 --> 00:28:06,480 Speaker 1: the waist. Stay here. 487 00:28:10,680 --> 00:28:13,159 Speaker 4: The internet was all abuzz because at the speech, Elon 488 00:28:13,240 --> 00:28:14,879 Speaker 4: Musk was there and he was sitting next to an 489 00:28:14,920 --> 00:28:18,840 Speaker 4: attractive blonde woman. But it turns out that they were 490 00:28:18,880 --> 00:28:19,639 Speaker 4: just seated together. 491 00:28:19,680 --> 00:28:20,359 Speaker 1: It never met her. 492 00:28:20,440 --> 00:28:23,400 Speaker 4: There's no connection, and her due data is in Descember. 493 00:28:27,320 --> 00:28:28,960 Speaker 1: That's pretty funny. I knew where he was going, but 494 00:28:29,040 --> 00:28:32,119 Speaker 1: his wording was still surprising, very very good joke. I 495 00:28:32,160 --> 00:28:34,320 Speaker 1: wondered that myself too. Probably a lot of people did, Okay, 496 00:28:34,320 --> 00:28:37,119 Speaker 1: who's the hot blonde sit next to Elon? What's uh? 497 00:28:37,359 --> 00:28:39,840 Speaker 1: What's going on there? But just happened to be sitting there. 498 00:28:41,760 --> 00:28:43,480 Speaker 1: I had to at least cross her mind. Man, if 499 00:28:43,560 --> 00:28:46,280 Speaker 1: I could just get pregnant real quick, I wonder how 500 00:28:46,280 --> 00:28:49,040 Speaker 1: I could do that. I wonder how that's what's the 501 00:28:49,120 --> 00:28:52,520 Speaker 1: monthly support? I don't know, Grimes. I was talking to 502 00:28:52,560 --> 00:28:54,880 Speaker 1: somebody about that the other day. That would be someday, 503 00:28:54,920 --> 00:28:58,080 Speaker 1: Well that'll be written. What is the financial deal he 504 00:28:58,120 --> 00:29:01,560 Speaker 1: makes with these women? How much is it? Is it 505 00:29:02,600 --> 00:29:06,480 Speaker 1: reasonably rich? Like ten million? Dollars flat fee, which would 506 00:29:06,480 --> 00:29:08,200 Speaker 1: be awesome. Obviously that's a ton of money, or is 507 00:29:08,200 --> 00:29:12,000 Speaker 1: it crazy elon money? I don't know. I don't know either. 508 00:29:12,160 --> 00:29:14,640 Speaker 1: Does he you know if before you get married he 509 00:29:14,680 --> 00:29:16,800 Speaker 1: got to sign a pre nup? Does he have them 510 00:29:17,080 --> 00:29:20,280 Speaker 1: sign a pre shtup? Hey? Now those are ryme. Hey. Oh, 511 00:29:20,560 --> 00:29:24,520 Speaker 1: there's a little vaudeville humor, therefore you little cat skills 512 00:29:24,640 --> 00:29:27,640 Speaker 1: nineteen sixties humor. Yeah, sort of thing Bernie Sanders would 513 00:29:27,640 --> 00:29:31,280 Speaker 1: have enjoyed, as he didn't had Sanders. So a fair 514 00:29:31,280 --> 00:29:33,200 Speaker 1: amount has been said and written, includes said on this 515 00:29:33,320 --> 00:29:38,239 Speaker 1: show of it's shocking that the left is continuing to 516 00:29:38,280 --> 00:29:42,240 Speaker 1: hang on to the trans issue despite all the polling 517 00:29:42,320 --> 00:29:45,480 Speaker 1: and the fact that their party got drubbed and everybody 518 00:29:45,520 --> 00:29:48,800 Speaker 1: considers the most successful ad of the entire presidential election 519 00:29:49,600 --> 00:29:52,040 Speaker 1: there for they them, He's for you, you know, that sort 520 00:29:52,080 --> 00:29:55,240 Speaker 1: of thing. But they, at least the Twitter left continues 521 00:29:55,280 --> 00:29:57,280 Speaker 1: to go down that road. Bernie Sanders had a trans 522 00:29:57,360 --> 00:30:00,080 Speaker 1: rally over the weekend in Milwaukee. For some reason, I 523 00:30:00,120 --> 00:30:07,040 Speaker 1: just wanted to mention this part. Uh. The octagenarian lawmaker 524 00:30:07,160 --> 00:30:09,880 Speaker 1: opened the rally in Milwaukee with a performance by a 525 00:30:09,960 --> 00:30:15,440 Speaker 1: transgister transgender musician named Laura Jane Grace who built it 526 00:30:15,480 --> 00:30:19,640 Speaker 1: out the lyrics and this is kind of rough. This 527 00:30:19,760 --> 00:30:22,880 Speaker 1: is not for the kids. I will use initials. Does 528 00:30:22,880 --> 00:30:28,200 Speaker 1: it rhyme with between us singing? No, it rhymes with rick. 529 00:30:28,920 --> 00:30:34,400 Speaker 1: Oh boy? Does your God have a big fat D? 530 00:30:34,680 --> 00:30:38,960 Speaker 1: Because it feels like he's effing me? Were the lyrics 531 00:30:39,000 --> 00:30:42,200 Speaker 1: to the song to open the rally that Bernie Sanders 532 00:30:42,320 --> 00:30:47,240 Speaker 1: was leading. You really just keep going, I keep going 533 00:30:47,440 --> 00:30:50,400 Speaker 1: that good job of getting the working class back and 534 00:30:50,560 --> 00:30:54,600 Speaker 1: Hispanic males and black males particularly back on your side 535 00:30:54,920 --> 00:31:01,920 Speaker 1: with that you morons. Wow, it's astounding, is I mean? 536 00:31:01,960 --> 00:31:06,640 Speaker 1: It's it's good for conservatism. You could be it's auto 537 00:31:06,720 --> 00:31:11,160 Speaker 1: worker union member, blue collar democrat your whole life, your 538 00:31:11,200 --> 00:31:14,640 Speaker 1: parents were Democrats. You never considered voting Republican in your 539 00:31:14,640 --> 00:31:21,600 Speaker 1: whole life, and you see that and think I'm voting Republican. Yeah, yeah, yeah, remarkable. 540 00:31:22,000 --> 00:31:25,360 Speaker 1: One of my favorite writers with a headline, don't be fooled, 541 00:31:25,360 --> 00:31:28,360 Speaker 1: Gavin Newsom is no moderate on trans issues. Worth looking 542 00:31:28,360 --> 00:31:30,280 Speaker 1: into that next hour maybe. Yeah. So speaking of that 543 00:31:30,320 --> 00:31:33,200 Speaker 1: sort of thing reminded me of I was in bumper 544 00:31:33,200 --> 00:31:35,760 Speaker 1: around Los Angeles over the weekend. With my son and 545 00:31:35,800 --> 00:31:39,240 Speaker 1: his friends on their birthday. And we took an uber 546 00:31:41,360 --> 00:31:45,120 Speaker 1: to the Peterson Car Museum from Burbank and so the 547 00:31:45,320 --> 00:31:48,440 Speaker 1: decent ride like a half an hour and I don't 548 00:31:48,560 --> 00:31:49,840 Speaker 1: remember how we got in this. 549 00:31:49,920 --> 00:31:50,080 Speaker 3: Oh. 550 00:31:50,160 --> 00:31:52,200 Speaker 1: So the guy, the uber driver, he said, yeah, I'm 551 00:31:52,200 --> 00:31:54,320 Speaker 1: born and raised in Los Angeles. He was English speaking, 552 00:31:54,320 --> 00:31:56,520 Speaker 1: which was awesome. And I'm sitting in the front because 553 00:31:56,520 --> 00:31:58,720 Speaker 1: of the three kids in their back, and he said, 554 00:31:58,760 --> 00:32:01,920 Speaker 1: I'm born and raised in Los ange Angelus. I said wow. 555 00:32:01,960 --> 00:32:03,960 Speaker 1: He said, yeah, you know, there aren't that many natives anymore. 556 00:32:03,960 --> 00:32:05,640 Speaker 1: A lot of the natives have I left. And I said, 557 00:32:05,680 --> 00:32:06,840 Speaker 1: have you been here the whole time? He said, I 558 00:32:06,840 --> 00:32:09,960 Speaker 1: was briefly up in the Bay Area, because he asked 559 00:32:10,000 --> 00:32:13,480 Speaker 1: me where I was living, and I said, why'd you 560 00:32:13,520 --> 00:32:16,000 Speaker 1: leave there? And he said that jobs just dropped and 561 00:32:16,040 --> 00:32:18,480 Speaker 1: there just wasn't enough driving and everything like that. Between 562 00:32:18,520 --> 00:32:21,560 Speaker 1: COVID and the crime, I said, oh yeah, yeah, I said, 563 00:32:21,600 --> 00:32:23,680 Speaker 1: I was in downtown San Francisco and I'm talking about 564 00:32:23,680 --> 00:32:25,840 Speaker 1: how dead it is and everything like that. He said, well, 565 00:32:25,840 --> 00:32:28,200 Speaker 1: if you let crime run rampant like that, you know, 566 00:32:28,200 --> 00:32:30,400 Speaker 1: And I'm always surprised to hear that sort of thing 567 00:32:31,400 --> 00:32:35,280 Speaker 1: anywhere in California really, but certainly in Los Angeles or 568 00:32:35,320 --> 00:32:37,160 Speaker 1: San Francisco or something like that. So, I mean, he 569 00:32:37,240 --> 00:32:40,600 Speaker 1: kind of hinted toward where his thinking was on this 570 00:32:40,640 --> 00:32:42,280 Speaker 1: sort of stuff, and I said, yeah, I know, between 571 00:32:42,280 --> 00:32:43,760 Speaker 1: the homeless and the crime. He said, oh, don't get 572 00:32:43,800 --> 00:32:45,760 Speaker 1: me started on the homeless. And anyway, we ended up 573 00:32:45,760 --> 00:32:48,280 Speaker 1: at a place where we both you know, it's probably 574 00:32:48,360 --> 00:32:50,360 Speaker 1: I never I've never was a pot smoker, but it's 575 00:32:50,360 --> 00:32:52,840 Speaker 1: probably like the way you weed heads back in the day, 576 00:32:53,160 --> 00:32:55,960 Speaker 1: sussed out whether somebody was, you know, on your side 577 00:32:56,040 --> 00:32:59,840 Speaker 1: or not, with code words or with code words or whatever. 578 00:33:00,040 --> 00:33:03,120 Speaker 1: I go, okay, where we're together, where we're both okay 579 00:33:03,120 --> 00:33:05,200 Speaker 1: on this. So then we and I could both talk 580 00:33:05,280 --> 00:33:08,440 Speaker 1: openly about how we filed about the politics at California. 581 00:33:08,520 --> 00:33:10,280 Speaker 1: And he said, I never talk about this. Give it 582 00:33:10,360 --> 00:33:13,440 Speaker 1: uber rides for obvious reasons, he said, but you'd be surprised, 583 00:33:13,760 --> 00:33:16,920 Speaker 1: he said, I voted for Trump three times, three times, 584 00:33:16,920 --> 00:33:22,480 Speaker 1: This born and raised Los Angeles uber driver voted for 585 00:33:22,520 --> 00:33:25,000 Speaker 1: Trump three times, and in he said, I never talk 586 00:33:25,040 --> 00:33:27,600 Speaker 1: about politics, he said, but you'd be surprised how many 587 00:33:27,600 --> 00:33:30,720 Speaker 1: secret conservatives I'd drive around this town just nobody has 588 00:33:30,760 --> 00:33:32,400 Speaker 1: the courage to say it out loud. And I feel 589 00:33:32,400 --> 00:33:34,560 Speaker 1: like if more people said it out loud, we'd all, 590 00:33:34,640 --> 00:33:36,160 Speaker 1: you know, we'd all feel like, oh yeah, there's more 591 00:33:36,200 --> 00:33:38,200 Speaker 1: of us than I realized. Let's let's start saying it 592 00:33:38,240 --> 00:33:41,880 Speaker 1: out loud, right, Yeah, Well, let's I remember, there are 593 00:33:41,880 --> 00:33:43,840 Speaker 1: a couple of big articles right after the election or 594 00:33:43,840 --> 00:33:46,480 Speaker 1: the inauguration about how the culture was changing and people 595 00:33:46,520 --> 00:33:49,520 Speaker 1: were wearing their mega hats and you know, coming out 596 00:33:49,680 --> 00:33:52,360 Speaker 1: as either pro Trump or conservative, which is not necessarily 597 00:33:52,400 --> 00:33:55,280 Speaker 1: the same thing. And I'd love to see more of it. Definitely, 598 00:33:55,680 --> 00:33:58,760 Speaker 1: we're just not as mean as the woke left. That's 599 00:33:58,840 --> 00:34:01,040 Speaker 1: part of it. Does that put that a thousand times? 600 00:34:01,280 --> 00:34:05,120 Speaker 1: If it's fifty five forty five liberally conservative, that's a 601 00:34:05,200 --> 00:34:07,320 Speaker 1: landslide in every single election. But you can almost have 602 00:34:07,440 --> 00:34:12,439 Speaker 1: the population utterly unrepresented, unrepresented and bullied. But what drove 603 00:34:12,480 --> 00:34:14,560 Speaker 1: his thinking was what drives a lot of people that 604 00:34:14,640 --> 00:34:17,719 Speaker 1: you know, voted for Trump who might not otherwise. He's 605 00:34:17,719 --> 00:34:19,239 Speaker 1: got a couple of kids, He's got a six year 606 00:34:19,239 --> 00:34:20,680 Speaker 1: old and an eight year old, and he said, I 607 00:34:20,680 --> 00:34:22,640 Speaker 1: look around the city and it's too dangerous for him 608 00:34:22,640 --> 00:34:24,920 Speaker 1: to walk down the streets that I used to walk down. 609 00:34:25,000 --> 00:34:27,640 Speaker 1: There's almost crazy people everywhere. I mean, I got my 610 00:34:27,760 --> 00:34:29,719 Speaker 1: kids in private school, which I gotta pay for because 611 00:34:29,719 --> 00:34:32,200 Speaker 1: the public schools are insane and teaching them all kinds 612 00:34:32,239 --> 00:34:36,800 Speaker 1: of crazy stuff. It's just I don't see this changing 613 00:34:36,840 --> 00:34:41,040 Speaker 1: anytime real soon. Unless you know, you got Bernie Sanders 614 00:34:41,080 --> 00:34:44,120 Speaker 1: and Gavin Newsome's scared to say that dude shouldn't be 615 00:34:44,160 --> 00:34:46,480 Speaker 1: in girls' sports and all that sort of stuff. Until 616 00:34:46,520 --> 00:34:50,440 Speaker 1: you recognize, like that Uber Drivers needs, you're gonna lose 617 00:34:50,480 --> 00:34:52,799 Speaker 1: a lot of elections. I need to design a T 618 00:34:52,920 --> 00:34:57,880 Speaker 1: shirt or a meme or something that says, policies yield results. 619 00:34:58,239 --> 00:35:01,279 Speaker 1: Good policies, good results, bad policy bad results. If you 620 00:35:01,360 --> 00:35:06,080 Speaker 1: are seeing bad results around you, it's probably because of 621 00:35:06,280 --> 00:35:09,320 Speaker 1: bad policies. Because it's shocking to me the number of 622 00:35:09,360 --> 00:35:13,080 Speaker 1: people for whom that little calculation is just they never 623 00:35:13,120 --> 00:35:16,000 Speaker 1: even think about it. Yeah, as opposed to supporting whatever 624 00:35:16,080 --> 00:35:20,239 Speaker 1: seems the nicest or coolest or whatever. Precisely and there 625 00:35:20,239 --> 00:35:22,279 Speaker 1: are actually results from these policies. If you miss a 626 00:35:22,280 --> 00:35:24,480 Speaker 1: segment Arnder the Hour, get the podcast Armstrong and Getty 627 00:35:24,520 --> 00:35:29,200 Speaker 1: on demand Armstrong and Getty