1 00:00:01,840 --> 00:00:06,120 Speaker 1: Broadcasting live from the Abraham Lincoln Radio Studio, the George 2 00:00:06,200 --> 00:00:10,720 Speaker 1: Washington Broadcast Center, Jack Armstrong and Joe Getty, arm Strong 3 00:00:10,760 --> 00:00:17,239 Speaker 1: and Getty, and now he Armstrong and Getty. 4 00:00:24,520 --> 00:00:27,080 Speaker 2: And to that end, I have created the brand new 5 00:00:27,200 --> 00:00:29,640 Speaker 2: Department of Government Efficiency. 6 00:00:30,880 --> 00:00:33,280 Speaker 1: Go perhaps you've heard of it. 7 00:00:33,840 --> 00:00:40,200 Speaker 2: Perhaps, thank you, Elan. You're working very hard. He didn't 8 00:00:40,240 --> 00:00:42,159 Speaker 2: need this. He didn't need this. 9 00:00:43,040 --> 00:00:43,920 Speaker 1: Thank you very much. 10 00:00:43,960 --> 00:00:47,120 Speaker 2: We appreciate it. Everybody here, even this side, appreciates that. 11 00:00:47,240 --> 00:00:48,000 Speaker 1: I believe. 12 00:00:50,800 --> 00:00:54,600 Speaker 2: They just don't want to admit that. Just listen to 13 00:00:54,720 --> 00:00:56,520 Speaker 2: some of the appalling waste. 14 00:00:57,240 --> 00:00:58,440 Speaker 1: We have already. 15 00:00:58,240 --> 00:01:04,840 Speaker 2: Identified two billion dollars from HHS to provide free housing 16 00:01:04,959 --> 00:01:10,600 Speaker 2: and cars for illegal aliens, Forty five million dollars for diversity, 17 00:01:10,680 --> 00:01:16,440 Speaker 2: equity and inclusion scholarships in Burma, forty million dollars to 18 00:01:16,520 --> 00:01:21,559 Speaker 2: improve the social and economic inclusion of sedentary migrants. 19 00:01:21,680 --> 00:01:27,720 Speaker 1: Nobody knows what that is. Eight million dollars to promote. 20 00:01:27,360 --> 00:01:29,240 Speaker 3: He goes on and on with a whole bunch of 21 00:01:29,240 --> 00:01:31,800 Speaker 3: other good stuff that I'm happy they've cut out. 22 00:01:33,400 --> 00:01:37,240 Speaker 1: Sedentary migrants. Get off your ass what nobody knows what 23 00:01:37,280 --> 00:01:41,759 Speaker 1: that is? That's hilarious. And you know what one thing 24 00:01:41,800 --> 00:01:43,800 Speaker 1: I noticed during the speech last night I took one 25 00:01:43,840 --> 00:01:45,360 Speaker 1: for the team and watched like an hour of it, 26 00:01:46,440 --> 00:01:48,480 Speaker 1: was that Trump is so used to his raucous rallies 27 00:01:48,480 --> 00:01:51,560 Speaker 1: where people yell constantly while he's talking. He is utterly 28 00:01:51,800 --> 00:01:54,920 Speaker 1: unflapped by heckling. He doesn't care at all. He just 29 00:01:55,000 --> 00:01:57,639 Speaker 1: either addresses it or keeps going. It's up to him. 30 00:01:58,080 --> 00:01:58,640 Speaker 1: Very good at that. 31 00:01:58,680 --> 00:02:01,280 Speaker 3: I think that fits in with something Paul mcgala, who 32 00:02:01,520 --> 00:02:03,400 Speaker 3: helped Bill Clinton get elected back in the day. 33 00:02:03,440 --> 00:02:07,760 Speaker 1: He was on CNN yesterday showmanship. It is his great gift. 34 00:02:08,200 --> 00:02:11,760 Speaker 3: His guy's a great showman, but he understands better than anybody, 35 00:02:11,800 --> 00:02:15,760 Speaker 3: probably even better than Ronald Reagan, how to command attention. 36 00:02:16,200 --> 00:02:18,160 Speaker 1: Yeah, well, he's a TV star. 37 00:02:20,880 --> 00:02:23,640 Speaker 3: Ronald Reagan was an actor, but that's different than being 38 00:02:23,680 --> 00:02:26,679 Speaker 3: a standing up in front of a live crowd all 39 00:02:26,720 --> 00:02:28,560 Speaker 3: the time TV star sort of guy. 40 00:02:29,919 --> 00:02:32,760 Speaker 1: Right, Even he's just a showman through and through, and 41 00:02:32,800 --> 00:02:36,160 Speaker 1: even when Trump was ninety percent just a real estate developer, 42 00:02:36,240 --> 00:02:39,320 Speaker 1: he was the showman real estate developer. And other guys 43 00:02:39,320 --> 00:02:42,520 Speaker 1: who went about the gig more quietly and probably more 44 00:02:42,600 --> 00:02:44,679 Speaker 1: you know, effectively, or made more money. We're ill, I 45 00:02:44,720 --> 00:02:47,880 Speaker 1: was saying Trump's not that big a deal, but he's 46 00:02:47,919 --> 00:02:50,000 Speaker 1: a big deal when it comes to brand building. 47 00:02:51,120 --> 00:02:53,920 Speaker 3: Anyway, what I wanted to bring up was the the 48 00:02:53,960 --> 00:02:58,119 Speaker 3: cutting waste thing in the doage thing. And I'm annoyed 49 00:02:58,240 --> 00:03:00,600 Speaker 3: by the cynics who say this is a drop in 50 00:03:00,639 --> 00:03:04,280 Speaker 3: the bucket, it's a rounding error, it will make no effect. 51 00:03:04,760 --> 00:03:07,040 Speaker 3: Oh I care. I want to deal with the real 52 00:03:09,080 --> 00:03:10,079 Speaker 3: debt and deficit. 53 00:03:11,240 --> 00:03:13,160 Speaker 1: Sure, the structural stuff is, they say. 54 00:03:13,080 --> 00:03:16,400 Speaker 3: I do want to deal with that, But why would 55 00:03:16,440 --> 00:03:18,880 Speaker 3: I not be in favor of getting rid of this 56 00:03:19,040 --> 00:03:19,960 Speaker 3: wasteful stuff. 57 00:03:20,280 --> 00:03:21,240 Speaker 1: I just I don't get that. 58 00:03:24,480 --> 00:03:27,520 Speaker 3: And I've been saying I've been saying for years, but 59 00:03:27,520 --> 00:03:30,120 Speaker 3: I said last week, just like in a parallel universe 60 00:03:30,160 --> 00:03:31,480 Speaker 3: or if I could come back in life, one thing 61 00:03:31,520 --> 00:03:33,960 Speaker 3: I'd like to try to do is, starting at age eighteen, 62 00:03:34,320 --> 00:03:38,160 Speaker 3: just try to get government money. I think if you, 63 00:03:38,320 --> 00:03:41,000 Speaker 3: if you put effort into it and work the system 64 00:03:41,240 --> 00:03:43,360 Speaker 3: and just paid attention to the news and saw where 65 00:03:43,400 --> 00:03:47,280 Speaker 3: the big chunks of money were going, you could fake 66 00:03:47,360 --> 00:03:50,280 Speaker 3: up a board or an organization or a charity or 67 00:03:50,320 --> 00:03:52,120 Speaker 3: a whatever and get big. 68 00:03:52,000 --> 00:03:53,080 Speaker 1: Chunks of that money so easy. 69 00:03:53,120 --> 00:03:55,240 Speaker 3: And I think there are millions of people across the 70 00:03:55,280 --> 00:03:58,080 Speaker 3: country that do that at the county, state, and federal level. 71 00:03:58,080 --> 00:04:01,280 Speaker 1: That's all they do. Well, right that Stacey, I know 72 00:04:01,400 --> 00:04:04,840 Speaker 1: that sure, Like that Stacy Abrams organization we talked about. 73 00:04:04,880 --> 00:04:06,880 Speaker 1: I think it was last week or early this week. 74 00:04:07,000 --> 00:04:09,360 Speaker 1: They got twenty million dollars as Biden was going out 75 00:04:09,400 --> 00:04:12,760 Speaker 1: the door. And their name is like it's a random 76 00:04:13,160 --> 00:04:19,400 Speaker 1: hip woke word generator string together of social green justice 77 00:04:19,600 --> 00:04:22,280 Speaker 1: Fairness coalition. Well, I'm allowed to get into doing anything 78 00:04:22,360 --> 00:04:23,200 Speaker 1: or nothing some of that. 79 00:04:23,240 --> 00:04:26,080 Speaker 3: Barry Weiss tweeted this out yesterday, this story, and it's 80 00:04:26,120 --> 00:04:28,640 Speaker 3: a lot of that stuff. The Department of Justice is 81 00:04:28,680 --> 00:04:33,320 Speaker 3: investigating the Greenhouse Gas Reduction Fund. It's a twenty seven 82 00:04:33,480 --> 00:04:37,200 Speaker 3: billion dollar program that was part of Biden's seven hundred 83 00:04:37,240 --> 00:04:41,200 Speaker 3: and forty billion dollar Inflation Reduction Act, which we all 84 00:04:41,240 --> 00:04:46,320 Speaker 3: know was the New Green Deal called the Inflation Reduction Act, 85 00:04:46,360 --> 00:04:49,280 Speaker 3: and everybody fell for it. Well people didn't fall for it, 86 00:04:49,360 --> 00:04:52,400 Speaker 3: but it passed. Created in the spring of twenty twenty 87 00:04:52,400 --> 00:04:55,480 Speaker 3: three and managed by the Environmental Protection Agency, the fund 88 00:04:55,600 --> 00:04:58,240 Speaker 3: was supposed to be a first of its kind program 89 00:04:58,320 --> 00:05:02,080 Speaker 3: to address the climate crisis while revitalizing communities that it 90 00:05:02,160 --> 00:05:05,960 Speaker 3: considered historically left behind. Man, there's a lot of phrases 91 00:05:05,960 --> 00:05:09,000 Speaker 3: there that make you want to grab your wallet. But 92 00:05:09,080 --> 00:05:10,920 Speaker 3: Barry Weiss goes on to say, but it appears that 93 00:05:11,040 --> 00:05:15,360 Speaker 3: little of the twenty seven billion dollars revitalized anything except 94 00:05:15,400 --> 00:05:18,680 Speaker 3: the coffers of a range of environmental nonprofits associated with 95 00:05:18,760 --> 00:05:23,560 Speaker 3: former Obama and Biden administration officials. The Biden administration used 96 00:05:23,640 --> 00:05:27,320 Speaker 3: so called climate equity, another phrase that makes me want 97 00:05:27,360 --> 00:05:31,640 Speaker 3: to grab my wallet. Make sure nobody steals it. The 98 00:05:31,640 --> 00:05:35,440 Speaker 3: Biden administration used so called climate equity to justify handouts 99 00:05:35,440 --> 00:05:40,040 Speaker 3: of billions of dollars to their far left friends Lee Zelden, 100 00:05:40,120 --> 00:05:44,479 Speaker 3: for instance, the Trump administration's new EPA administer told the 101 00:05:46,200 --> 00:05:49,119 Speaker 3: Financial Press, it's my utmost priority to get a handle 102 00:05:49,120 --> 00:05:50,960 Speaker 3: on every dollar that went out the door in this 103 00:05:51,000 --> 00:05:54,640 Speaker 3: scheme and once again restore oversight and accountability over these funds. 104 00:05:54,960 --> 00:05:59,400 Speaker 3: This shrawujah, this rush job operation is riddled with conflicts 105 00:05:59,440 --> 00:06:03,320 Speaker 3: of interest and corruption. A Free Press investigation reveals that 106 00:06:03,400 --> 00:06:07,200 Speaker 3: of the twenty seven billion, twenty billion was rushed out 107 00:06:07,240 --> 00:06:09,800 Speaker 3: the door. This is what you were talking about to 108 00:06:09,960 --> 00:06:13,480 Speaker 3: eight nonprofit groups after Biden lost the election, but before 109 00:06:13,600 --> 00:06:16,760 Speaker 3: Trump took office. As one former EPA official put it 110 00:06:16,800 --> 00:06:19,880 Speaker 3: on a secretly recorded video. It was akin to tossing 111 00:06:19,920 --> 00:06:21,440 Speaker 3: gold bars off the Titanic. 112 00:06:22,440 --> 00:06:27,719 Speaker 1: It is grafted, pure and simple, and titanic amounts of it. 113 00:06:28,520 --> 00:06:32,000 Speaker 3: I remember when these big trillion dollar deals passed and 114 00:06:32,120 --> 00:06:35,279 Speaker 3: Steve Hayes of the Dispatch said, they're going to be 115 00:06:35,480 --> 00:06:40,400 Speaker 3: unraveling for decades where this money went and how much 116 00:06:40,520 --> 00:06:43,680 Speaker 3: was just ripped off because there's just so much When 117 00:06:43,720 --> 00:06:46,800 Speaker 3: you have a trillion dollar deal, there's just so much money. 118 00:06:48,360 --> 00:06:51,560 Speaker 3: A billion here or it's certainly fifty million here or there, 119 00:06:51,960 --> 00:06:54,360 Speaker 3: nobody'll ever hear about. I mean, it's got a rise 120 00:06:54,400 --> 00:06:56,280 Speaker 3: to the level of billions before the lever even make 121 00:06:56,360 --> 00:06:56,920 Speaker 3: the news. 122 00:06:57,880 --> 00:07:00,240 Speaker 1: But like sure, if you consider that a trillion dollars 123 00:07:00,320 --> 00:07:02,520 Speaker 1: is one thousand billion, but. 124 00:07:02,560 --> 00:07:05,960 Speaker 3: Some individual guy ending up with, you know, twenty million dollars, 125 00:07:05,960 --> 00:07:07,080 Speaker 3: it would set you for life. 126 00:07:07,480 --> 00:07:08,840 Speaker 1: Nobody will ever uncover that stuff. 127 00:07:08,839 --> 00:07:11,800 Speaker 3: Anyway, back to this, the eight groups were allocated sums 128 00:07:11,920 --> 00:07:15,520 Speaker 3: ranging from four hundred million to six point nine billion. 129 00:07:16,040 --> 00:07:18,760 Speaker 3: Several of them were formed in August twenty twenty three, 130 00:07:18,960 --> 00:07:22,040 Speaker 3: just one month after the grant applications went live. In 131 00:07:22,160 --> 00:07:25,400 Speaker 3: July of twenty twenty three, when it became clear that 132 00:07:25,440 --> 00:07:27,880 Speaker 3: the large nine and ten figure grants would be up 133 00:07:27,880 --> 00:07:28,480 Speaker 3: for grabs. 134 00:07:28,880 --> 00:07:31,480 Speaker 1: The board. We are idiots. I too, I've gotten in 135 00:07:31,560 --> 00:07:33,720 Speaker 1: on that. I know. That's what I'm talking. I should 136 00:07:33,760 --> 00:07:36,160 Speaker 1: have designed a fake organization in an afternoon. 137 00:07:36,360 --> 00:07:41,160 Speaker 3: Please, so this passes, you get wind from your friends 138 00:07:41,200 --> 00:07:43,920 Speaker 3: in Congress or whoever it is. That man, they've got 139 00:07:43,960 --> 00:07:46,000 Speaker 3: like one hundred billion dollar fund. They got to get 140 00:07:46,000 --> 00:07:48,600 Speaker 3: out the door. So you form some forty board the 141 00:07:49,120 --> 00:07:53,240 Speaker 3: save the planet from from greenhouse gas and help the 142 00:07:53,280 --> 00:07:56,560 Speaker 3: trans Commission. And you know me and my kids are 143 00:07:56,600 --> 00:07:59,559 Speaker 3: on it, and my parents and and if you're friends 144 00:07:59,560 --> 00:08:02,560 Speaker 3: with the righteo, they send fifty million dollars your way. 145 00:08:02,800 --> 00:08:06,200 Speaker 1: Throw the word equity in there. It's just it's all powerful. Yeah. 146 00:08:06,240 --> 00:08:09,120 Speaker 3: The boards and staff of these eight groups include Democratic donors, 147 00:08:09,440 --> 00:08:12,560 Speaker 3: people with connections to Obama and Biden administrations, and prominent 148 00:08:12,640 --> 00:08:15,480 Speaker 3: Democrats as you mentioned, like Stacy Abrams. These are some 149 00:08:15,560 --> 00:08:20,679 Speaker 3: of the biggest grants to individual organizations in American history. 150 00:08:21,640 --> 00:08:24,720 Speaker 1: And in your tax dollars, you bust your ass all 151 00:08:24,760 --> 00:08:27,760 Speaker 1: week long. You look at your gross pay and your 152 00:08:27,800 --> 00:08:31,560 Speaker 1: net pay. That's where it went. Now, do we have 153 00:08:31,640 --> 00:08:35,080 Speaker 1: you tune in so we can make you angry. No, 154 00:08:35,160 --> 00:08:38,960 Speaker 1: not per se, but somebody needs to be angry about this. 155 00:08:39,360 --> 00:08:45,400 Speaker 1: We can't de fleeced. Like if you are complacent in 156 00:08:45,440 --> 00:08:49,760 Speaker 1: the face of thievery, this egregious. You deserve the thievery. 157 00:08:50,960 --> 00:08:54,200 Speaker 3: Would this be investigated, It's being investigated by the Justice Department. 158 00:08:54,240 --> 00:08:56,600 Speaker 3: Would this be investigated if Kamala had won? 159 00:08:56,880 --> 00:09:00,640 Speaker 1: Of course not. That's hilarious. I know why I even 160 00:09:00,679 --> 00:09:01,080 Speaker 1: mention it. 161 00:09:02,640 --> 00:09:07,240 Speaker 3: But the idea that when they've they had these twenty 162 00:09:07,400 --> 00:09:10,960 Speaker 3: billion dollars that rushed out the door after the election, 163 00:09:11,160 --> 00:09:14,480 Speaker 3: but before Trump took office, and some of these boards 164 00:09:15,880 --> 00:09:20,960 Speaker 3: were invented, you know, days after this happened, and they 165 00:09:21,040 --> 00:09:24,280 Speaker 3: got right anywhere between as she said, here road here 166 00:09:24,440 --> 00:09:27,760 Speaker 3: between four hundred million and six point nine billion dollars. 167 00:09:28,400 --> 00:09:33,439 Speaker 1: They exist to receive the money. That's why they exist. 168 00:09:34,679 --> 00:09:40,600 Speaker 1: It's horrifying. It is the only way that you can 169 00:09:40,600 --> 00:09:43,920 Speaker 1: combat this is to be against taxes. It's your only 170 00:09:44,000 --> 00:09:47,200 Speaker 1: Who the rich going to pay their fair share of this? 171 00:09:47,600 --> 00:09:50,559 Speaker 1: S no kidding, God dang. 172 00:09:50,280 --> 00:09:53,280 Speaker 3: It, it's so frustrating. 173 00:09:53,280 --> 00:09:54,720 Speaker 1: I mean, it makes you so cynical. 174 00:09:57,120 --> 00:10:00,880 Speaker 3: Does it make you feel okay about cheating on your taxes? 175 00:10:00,920 --> 00:10:02,480 Speaker 1: I don't know how it wouldn't if. 176 00:10:02,360 --> 00:10:07,440 Speaker 3: You can, we certainly don't suggest that on any level. Yeah, 177 00:10:07,520 --> 00:10:08,640 Speaker 3: push it as hard as you can. 178 00:10:09,520 --> 00:10:11,719 Speaker 1: A word from our friends and sponsors that simply save 179 00:10:11,760 --> 00:10:14,560 Speaker 1: home security. Every twenty six seconds, the burglary takes place 180 00:10:14,559 --> 00:10:16,440 Speaker 1: in the US according to the FBI. No, not the 181 00:10:16,440 --> 00:10:19,640 Speaker 1: one we've been describing that takes place. They're laws that 182 00:10:19,720 --> 00:10:22,640 Speaker 1: make that. Okay, good lord, but this is scumbags breaking 183 00:10:22,679 --> 00:10:25,280 Speaker 1: into your house and stealing your stuff, and traditional security 184 00:10:25,320 --> 00:10:28,319 Speaker 1: systems only take action after someone's already broken in. That's 185 00:10:28,360 --> 00:10:31,480 Speaker 1: too late. Simply safe, active guard outdoor protection can help 186 00:10:31,480 --> 00:10:33,400 Speaker 1: prevent breakings before they happen. 187 00:10:33,600 --> 00:10:39,880 Speaker 3: AI powered cameras backed by live professional monitoring agents. Why 188 00:10:39,920 --> 00:10:42,080 Speaker 3: do I emphasize professional like they're not amateur? I should 189 00:10:42,120 --> 00:10:45,840 Speaker 3: emphasize the live. Sorry I got that wrong. It's AI 190 00:10:45,880 --> 00:10:49,400 Speaker 3: and live people monitoring this to catch people before they 191 00:10:49,440 --> 00:10:50,959 Speaker 3: break in, so you can stop them before they actually 192 00:10:50,960 --> 00:10:51,560 Speaker 3: get in your house. 193 00:10:52,000 --> 00:10:54,720 Speaker 1: Yeah, they can see them, talk to them, activate spotlights, 194 00:10:54,800 --> 00:10:56,880 Speaker 1: call the cops. Whatever you need. No long term contracts 195 00:10:56,960 --> 00:10:59,160 Speaker 1: or cancelation fees. They earn your business every day, and 196 00:10:59,200 --> 00:11:02,760 Speaker 1: listen to this crazy monitoring plans start affordably at around 197 00:11:02,760 --> 00:11:05,960 Speaker 1: a buck a day, visit simply safe dot com slash armstrong. 198 00:11:06,000 --> 00:11:08,160 Speaker 1: You can get fifty percent off a new system with 199 00:11:08,280 --> 00:11:11,960 Speaker 1: a professional monitoring plan and your first month free. Again 200 00:11:12,000 --> 00:11:16,160 Speaker 1: it's simplysafe dot com slash armstrong to get fifty percent off. 201 00:11:16,360 --> 00:11:18,160 Speaker 1: There's no safe like simply say. 202 00:11:18,360 --> 00:11:20,720 Speaker 3: I depressed myself with that last story, and I read 203 00:11:20,720 --> 00:11:22,280 Speaker 3: it last night in bed and got all angry. 204 00:11:23,400 --> 00:11:29,480 Speaker 1: Oh, if we can just whip up the fervor a 205 00:11:29,480 --> 00:11:33,880 Speaker 1: little bit for more fiscal conservatism in this country, we'll 206 00:11:33,920 --> 00:11:36,760 Speaker 1: be doing our children and grandchildren of great service. And 207 00:11:36,760 --> 00:11:39,080 Speaker 1: I don't mean you and me, I mean all of us, friends, 208 00:11:39,200 --> 00:11:44,640 Speaker 1: all of us again, just oh, such SAPs. And this 209 00:11:44,720 --> 00:11:46,800 Speaker 1: is one of the reasons I subscribed to the Free Press. 210 00:11:46,800 --> 00:11:50,480 Speaker 1: They're doing a great job. Even when I don't agree 211 00:11:50,520 --> 00:11:54,160 Speaker 1: with their conclusions. They're making honest inquiries to try to 212 00:11:54,200 --> 00:11:56,960 Speaker 1: figure out what's happening, which is kind of what we 213 00:11:57,040 --> 00:11:57,680 Speaker 1: do around here. 214 00:11:57,880 --> 00:11:59,760 Speaker 3: Among things, we can get to this hour, quite a 215 00:11:59,760 --> 00:12:02,600 Speaker 3: bit of polling. Your snap polling came out last night 216 00:12:02,640 --> 00:12:06,240 Speaker 3: after the Trump's speech. Really good news for Trump, or 217 00:12:06,280 --> 00:12:08,360 Speaker 3: if you're a Trump fan, I'd say that, among other things, 218 00:12:08,400 --> 00:12:09,160 Speaker 3: all the way, stay. 219 00:12:09,000 --> 00:12:16,240 Speaker 4: Here thirty Los Angeles County detention officers charged for allegedly 220 00:12:16,320 --> 00:12:21,400 Speaker 4: facilitating these so called gladiator fights between juvenile detainees. The 221 00:12:21,440 --> 00:12:24,680 Speaker 4: Attorney General says from June to December of twenty twenty three, 222 00:12:24,960 --> 00:12:27,960 Speaker 4: there were sixty nine fights involving one hundred and forty 223 00:12:27,960 --> 00:12:32,079 Speaker 4: three teenagers, the youngest just twelve years old. Man officers 224 00:12:32,120 --> 00:12:36,480 Speaker 4: now facing charges ranging from child abuse and battery to conspiracy, 225 00:12:36,760 --> 00:12:39,920 Speaker 4: and the LA County Parole Department says all current staff 226 00:12:39,920 --> 00:12:42,679 Speaker 4: who have been charged are now on leave without paid. 227 00:12:43,040 --> 00:12:44,480 Speaker 1: On leave are going to be fired. 228 00:12:44,520 --> 00:12:47,160 Speaker 3: It's almost impossible to fire a lot of guards in 229 00:12:47,200 --> 00:12:48,280 Speaker 3: a lot of prisons. 230 00:12:47,880 --> 00:12:49,880 Speaker 1: But that's why they're on leaf. Yeah. 231 00:12:49,960 --> 00:12:51,880 Speaker 3: I thought that story was disgusting when I thought it 232 00:12:51,920 --> 00:12:55,120 Speaker 3: was an adult. Geez, you're pitting children against each other. 233 00:12:55,840 --> 00:12:58,679 Speaker 3: Oh god, you are lots of them. You have been 234 00:12:58,720 --> 00:13:04,079 Speaker 3: around and ugly crowd prisoners for so long. You've lost 235 00:13:04,080 --> 00:13:06,400 Speaker 3: your humanity. You shouldn't be doing that job anymore. 236 00:13:07,240 --> 00:13:09,920 Speaker 1: One of our listeners wrote, I think it was self 237 00:13:09,960 --> 00:13:12,480 Speaker 1: published a book years and years and years ago, and 238 00:13:12,520 --> 00:13:13,800 Speaker 1: he sent it to us, and I read part of 239 00:13:13,840 --> 00:13:15,120 Speaker 1: it and I kept it. It was I think it 240 00:13:15,200 --> 00:13:17,520 Speaker 1: was called how to create a monster. He'd worked in 241 00:13:17,520 --> 00:13:21,400 Speaker 1: the prison system for a long time, and his thesis 242 00:13:21,559 --> 00:13:25,840 Speaker 1: was that our prison system as it exists is almost 243 00:13:25,880 --> 00:13:29,480 Speaker 1: like it's designed to create the hardest, meanest people we 244 00:13:29,559 --> 00:13:32,000 Speaker 1: possibly can. And he was not coming at it from 245 00:13:32,040 --> 00:13:33,960 Speaker 1: some sort of liberal do good or turn them all 246 00:13:34,040 --> 00:13:37,280 Speaker 1: loose Gavin k newso nonsense. He was just thinking, we 247 00:13:37,360 --> 00:13:39,920 Speaker 1: really ought to reimagine this if we want to create, 248 00:13:40,760 --> 00:13:43,360 Speaker 1: you know, citizens that we want to have around because 249 00:13:43,760 --> 00:13:46,679 Speaker 1: ninety whatever percent of them will get out eventually. Anyway, 250 00:13:47,280 --> 00:13:51,200 Speaker 1: thought for evoking, Yeah, god, that's horrible. Yeah, it is 251 00:13:51,520 --> 00:13:52,959 Speaker 1: a totally different topic. Here. 252 00:13:53,960 --> 00:13:57,800 Speaker 3: Target Jack big target man. Through the years, I'm a stockholder. 253 00:13:57,840 --> 00:14:00,440 Speaker 3: I go to Target at least once a week, sometimes multiple. 254 00:14:01,040 --> 00:14:04,600 Speaker 1: It's determined to bring back some of its lost Tarje Mojo. 255 00:14:06,080 --> 00:14:10,760 Speaker 1: In fact, the CEO actually use the term targe on 256 00:14:10,840 --> 00:14:16,360 Speaker 1: a big call with investors. They want to refocus on 257 00:14:16,400 --> 00:14:20,440 Speaker 1: their traditional strengths, exciting merchandise and a great store experience. 258 00:14:20,760 --> 00:14:24,360 Speaker 3: The original appeal for me was, it's not Walmart. It's 259 00:14:24,440 --> 00:14:27,920 Speaker 3: just a It's Walmart with better carts and a little cleaner. 260 00:14:28,560 --> 00:14:32,200 Speaker 1: Oh wow, I'm working with the Rockefeller over here. Mister fancy. 261 00:14:32,360 --> 00:14:35,600 Speaker 3: It's like it's like Nate Margatzi says Target. I don't 262 00:14:35,640 --> 00:14:40,680 Speaker 3: go to Target. I'm not We're not from old money. 263 00:14:41,960 --> 00:14:46,800 Speaker 1: I've got to admit, and I tend to be a 264 00:14:46,840 --> 00:14:51,920 Speaker 1: forgiving person. I have a really hard time for giving them, 265 00:14:52,320 --> 00:14:56,000 Speaker 1: not just for like rainbow t shirts, but like selling 266 00:14:56,560 --> 00:14:59,960 Speaker 1: tucking your little boy's penis garments so he can expl 267 00:15:00,240 --> 00:15:04,160 Speaker 1: his transgenderism. Stuffy, it's pretty awful. That is way way, 268 00:15:04,200 --> 00:15:07,520 Speaker 1: way way beyond the pale. But you might see some 269 00:15:08,080 --> 00:15:11,560 Speaker 1: trying to class up the Target in a store near you. 270 00:15:12,600 --> 00:15:19,680 Speaker 1: Speaking of consumer the affairs, this is literally consuming. Meet 271 00:15:19,720 --> 00:15:23,560 Speaker 1: the Cali sober set. No booze, but drugs are fine. 272 00:15:23,880 --> 00:15:26,040 Speaker 1: California sober, Yeah, who are I mean? 273 00:15:26,360 --> 00:15:30,160 Speaker 3: Levato? Nevato? What is that singer name? She invented enough 274 00:15:30,880 --> 00:15:34,120 Speaker 3: she went into rehab and then was asked about towd 275 00:15:34,120 --> 00:15:36,680 Speaker 3: rehabits going she said, well, I'm California sober. 276 00:15:36,720 --> 00:15:38,840 Speaker 1: I still smoke pot. So that is caught on as 277 00:15:38,840 --> 00:15:39,160 Speaker 1: a term. 278 00:15:40,040 --> 00:15:40,200 Speaker 2: Right. 279 00:15:40,280 --> 00:15:42,760 Speaker 1: Here's a thirty year old gal who they focus on 280 00:15:43,240 --> 00:15:46,560 Speaker 1: who has cut down her drinking since moving to southern 281 00:15:46,600 --> 00:15:49,640 Speaker 1: California in twenty nineteen, and then quote started doing big 282 00:15:49,680 --> 00:15:55,640 Speaker 1: doses of mushrooms instead. Now she's thirty, living in Topanga Canyon, 283 00:15:55,640 --> 00:15:59,040 Speaker 1: where she whole hosts alcohol free pop up parties in 284 00:15:59,080 --> 00:16:02,080 Speaker 1: the LA area where she serves mood enhancing mocktails and 285 00:16:02,160 --> 00:16:06,720 Speaker 1: mushroom chocolates. All right, so alcohol is largely off the table, 286 00:16:06,760 --> 00:16:11,760 Speaker 1: but psychedelics are a big part of the the social scene. 287 00:16:12,200 --> 00:16:14,840 Speaker 1: I'm not sure. I mean, if you were like drinking 288 00:16:14,880 --> 00:16:17,000 Speaker 1: to excess and you couldn't control it and you were 289 00:16:17,040 --> 00:16:20,120 Speaker 1: hurting your health and relationships and that sort of thing, 290 00:16:20,760 --> 00:16:22,240 Speaker 1: you know, what the heck, if you can just do 291 00:16:22,320 --> 00:16:26,400 Speaker 1: something a little bit, I get that. But the idea that, yeah, 292 00:16:26,440 --> 00:16:28,920 Speaker 1: I've given up alcohol because it's harmful and now I 293 00:16:28,960 --> 00:16:34,240 Speaker 1: take powerful psychoactive drugs all the time, I would I 294 00:16:34,280 --> 00:16:40,200 Speaker 1: would advise caution. They mentioned that she started dabbling with 295 00:16:40,320 --> 00:16:44,160 Speaker 1: quote unquote plant medicine after cutting back on alcohol because 296 00:16:44,160 --> 00:16:48,440 Speaker 1: she's tired of hangovers. Yeah, and wanted different experiences. There 297 00:16:48,440 --> 00:16:53,120 Speaker 1: you go, Okay, she man, she does like all of 298 00:16:53,160 --> 00:16:57,960 Speaker 1: this stuff. Yeah, California sober is mostly mocked. I think 299 00:16:58,080 --> 00:17:01,640 Speaker 1: I don't think it's a thing other than big moncked. 300 00:17:02,560 --> 00:17:04,720 Speaker 1: I'm a big to each your own guy. I will 301 00:17:04,760 --> 00:17:06,080 Speaker 1: just tell you this, and I've said this to young 302 00:17:06,080 --> 00:17:10,359 Speaker 1: people more than once. The idea of psychoactive drugs, which 303 00:17:10,480 --> 00:17:14,080 Speaker 1: you know can be fine to take if you believe that, 304 00:17:14,080 --> 00:17:17,199 Speaker 1: that's okay. The problem is the bargain you're striking is 305 00:17:17,240 --> 00:17:19,800 Speaker 1: I'm going to alter my brain chemistry and when I'm done, 306 00:17:19,840 --> 00:17:22,200 Speaker 1: it'll go back to normal. Then next week, I'm gonna 307 00:17:22,200 --> 00:17:24,480 Speaker 1: alter my brain chemistry and then it'll go back to normal. 308 00:17:24,520 --> 00:17:26,280 Speaker 1: And you repeat that over and over and over again, 309 00:17:26,359 --> 00:17:29,800 Speaker 1: and many people eventually their brain says, yeah, I'm not 310 00:17:29,840 --> 00:17:31,680 Speaker 1: going back to normal. I can't anymore. 311 00:17:32,160 --> 00:17:34,760 Speaker 3: Yeah, Joe Rogan Elon and a lot of people swear 312 00:17:34,800 --> 00:17:38,320 Speaker 3: by it changed their lives forever in a profound way. 313 00:17:38,840 --> 00:17:42,080 Speaker 1: Yeah, I'm not cynical about it. I'm just again advising caution. 314 00:17:42,320 --> 00:17:44,920 Speaker 1: I'd hate to ruin my brain over it. You only 315 00:17:44,960 --> 00:17:49,520 Speaker 1: got to one what kind of you know, be minus 316 00:17:49,560 --> 00:17:51,600 Speaker 1: as it is, and sometimes you get ruined like the 317 00:17:51,600 --> 00:17:55,160 Speaker 1: first try. Right, it can happen. Yeah, that would suck. 318 00:17:56,160 --> 00:17:59,320 Speaker 3: They did some snap polling on Trump's speech last night. Man, 319 00:17:59,359 --> 00:18:02,720 Speaker 3: pretty good reasons aults, breaking down different issues and everything 320 00:18:02,800 --> 00:18:04,080 Speaker 3: like that. He's got to be happy with that. 321 00:18:04,920 --> 00:18:07,560 Speaker 1: Yeah, it's probably great results because it was so great 322 00:18:07,600 --> 00:18:08,080 Speaker 1: and kicks. 323 00:18:09,240 --> 00:18:10,840 Speaker 3: If you miss this that's coming up. If you missed 324 00:18:10,800 --> 00:18:12,720 Speaker 3: a segment, get the podcast Armstrong and Getty on. 325 00:18:12,640 --> 00:18:15,399 Speaker 1: Demand Armstrong and Getty. 326 00:18:17,359 --> 00:18:19,960 Speaker 2: We have Marco Rubio in charge. 327 00:18:19,960 --> 00:18:20,720 Speaker 1: Good luck Marco. 328 00:18:22,320 --> 00:18:25,800 Speaker 2: Now we know who to blame if anything goes wrong. 329 00:18:27,320 --> 00:18:29,119 Speaker 2: Marco has been amazing and he's going to do a 330 00:18:29,160 --> 00:18:29,680 Speaker 2: great job. 331 00:18:30,320 --> 00:18:33,520 Speaker 3: So Marco Rubyo is the Secretary of State. A lot 332 00:18:33,560 --> 00:18:37,160 Speaker 3: going on foreign policy wise. But there was reporting yesterday, 333 00:18:37,200 --> 00:18:41,120 Speaker 3: although all with unnamed sources. See, you never have any 334 00:18:41,160 --> 00:18:43,240 Speaker 3: idea if there's a grain of truth that these stories 335 00:18:43,280 --> 00:18:43,600 Speaker 3: are not. 336 00:18:44,400 --> 00:18:45,719 Speaker 1: But there was some reporting yesterday. 337 00:18:45,720 --> 00:18:50,800 Speaker 3: I forget where I saw it, real publication that Marco 338 00:18:50,920 --> 00:18:53,760 Speaker 3: Ruby is not happy with how being Secretary of State 339 00:18:53,800 --> 00:18:56,560 Speaker 3: has turned out, because it seems like Trump and Vance 340 00:18:56,640 --> 00:18:59,639 Speaker 3: and others are making foreign policy decisions kind of on 341 00:18:59,680 --> 00:19:04,480 Speaker 3: the flow, saying them out loud without his input or 342 00:19:04,480 --> 00:19:08,160 Speaker 3: his knowledge of what direction they're doing. It wouldn't shock 343 00:19:08,240 --> 00:19:11,120 Speaker 3: me that that's true. No, that's not an insane thing 344 00:19:11,119 --> 00:19:14,439 Speaker 3: to claim. No, but get into the speech in general. 345 00:19:14,480 --> 00:19:16,120 Speaker 3: So what are you calling last night's. 346 00:19:15,920 --> 00:19:19,159 Speaker 1: Speech the sootach the state of the ass kicking? 347 00:19:20,840 --> 00:19:24,199 Speaker 3: So Trump gives the longest speech ever for one of 348 00:19:24,240 --> 00:19:29,880 Speaker 3: those things, and the Democrats sat for everything that's never 349 00:19:29,920 --> 00:19:32,920 Speaker 3: happened before. And that's a new deal, no matter what 350 00:19:33,080 --> 00:19:36,040 Speaker 3: that mean to me. Kid to beat cancer. They didn't 351 00:19:36,080 --> 00:19:36,800 Speaker 3: stand in cheer. 352 00:19:36,960 --> 00:19:41,320 Speaker 1: I mean, okay, well, Debbie Dingle of Michigan, I'm not 353 00:19:41,359 --> 00:19:44,479 Speaker 1: stealing your thunder here, am I. She actually plugged her 354 00:19:44,480 --> 00:19:47,719 Speaker 1: ears and rolled her eyes as people were a plodding 355 00:19:47,760 --> 00:19:52,440 Speaker 1: for the little kid who's fighting cancer. Good look, Debbie. Yeah. 356 00:19:52,480 --> 00:19:54,920 Speaker 3: And then some of the issues that they won't stand for. 357 00:19:54,960 --> 00:19:58,359 Speaker 3: You know, we're gonna end men in women's sports. Nobody 358 00:19:58,400 --> 00:20:01,760 Speaker 3: stood really, not even one, not a single vote the 359 00:20:01,840 --> 00:20:05,520 Speaker 3: other day, not even in some of those districts, like 360 00:20:05,720 --> 00:20:09,520 Speaker 3: whatever that woman was that gave the the rebuttal speech 361 00:20:09,600 --> 00:20:12,000 Speaker 3: last night, she was pretty good from Michigan, but they 362 00:20:12,080 --> 00:20:16,240 Speaker 3: chose her because Trump won her district and she won 363 00:20:16,280 --> 00:20:19,840 Speaker 3: as a Democrat. Even districts like that, there's not somebody 364 00:20:19,880 --> 00:20:21,080 Speaker 3: that wants to stand up and say, you know, I 365 00:20:21,200 --> 00:20:23,640 Speaker 3: kind of think dudes shouldn't be in girls' sports either. 366 00:20:23,840 --> 00:20:28,399 Speaker 3: That's just shocking that they're that uniform on such a 367 00:20:28,880 --> 00:20:31,000 Speaker 3: what seemed to me settled issue anyway. 368 00:20:31,080 --> 00:20:34,640 Speaker 1: Yeah, No, dissent is allowed in the Democratic Party. Before 369 00:20:34,680 --> 00:20:38,760 Speaker 1: I get to some of the poet and even Politico 370 00:20:39,640 --> 00:20:46,000 Speaker 1: thought the democrats attempt at pushback fell flat. Politico wrote today, 371 00:20:46,119 --> 00:20:47,520 Speaker 1: Oh yeah, Rich Lowry. 372 00:20:47,840 --> 00:20:50,119 Speaker 3: Rich Lowry, who's a man of the right but definitely 373 00:20:50,200 --> 00:20:53,199 Speaker 3: not a Trump fan, said, Uh, most people watching that 374 00:20:53,280 --> 00:20:56,600 Speaker 3: speech will be a loss for what they were supposed 375 00:20:56,640 --> 00:20:59,240 Speaker 3: to disagree with and wonder why Democrats were so glum 376 00:20:59,280 --> 00:21:02,480 Speaker 3: and disagreeable. Well, that would fit in with some of 377 00:21:02,520 --> 00:21:08,119 Speaker 3: the polling that came out the CNN snappole. Among speech 378 00:21:08,160 --> 00:21:13,240 Speaker 3: watcher views of Trump's speech, approve, seventy six percent disapproved 379 00:21:13,280 --> 00:21:21,480 Speaker 3: twenty three So seventy six twenty three approve. Among speech watchers' 380 00:21:21,840 --> 00:21:26,560 Speaker 3: issues you care about almost two thirds, a lot, twenty 381 00:21:26,600 --> 00:21:28,800 Speaker 3: eight percent, a little ten percent, none at all. So 382 00:21:29,640 --> 00:21:33,200 Speaker 3: speech made you feel hopeful, proud, worried, or angry. Those 383 00:21:33,200 --> 00:21:40,160 Speaker 3: are the options. Sixty eight percent hopeful, Uh, over half 384 00:21:40,359 --> 00:21:44,480 Speaker 3: prad for all of the quote unquote controversy, it had 385 00:21:44,480 --> 00:21:47,159 Speaker 3: a very positive vibe to it. 386 00:21:47,640 --> 00:21:50,240 Speaker 1: Yeah. 387 00:21:50,280 --> 00:21:54,600 Speaker 3: In the speech, Trump was presidential, entertaining, inspiring, unifying, divisive. 388 00:21:56,200 --> 00:22:00,680 Speaker 3: Three quarters said presidential, three quarters said entertaining. Seventy one 389 00:22:00,720 --> 00:22:07,280 Speaker 3: percent inspiring, sixty two percent unifying, and less than half divisive. Now, 390 00:22:07,480 --> 00:22:10,920 Speaker 3: my first thought upon seeing these numbers was, well, maybe 391 00:22:11,000 --> 00:22:14,919 Speaker 3: only Republicans watched, and it's not only Republicans, but it 392 00:22:14,960 --> 00:22:18,800 Speaker 3: was heavily Republicans. Party identification of speech watchers fifty one 393 00:22:18,800 --> 00:22:21,359 Speaker 3: percent Republicans, and then you split it among independents and 394 00:22:21,400 --> 00:22:25,240 Speaker 3: Democrats for the rest. But I don't know. 395 00:22:25,680 --> 00:22:27,760 Speaker 1: I don't know what the numbers are on that. Usually. 396 00:22:27,840 --> 00:22:30,360 Speaker 3: I know, I've looked at these snap polls over the years, 397 00:22:31,080 --> 00:22:35,720 Speaker 3: and they're usually not that overwhelmingly favorable for a Democrat 398 00:22:35,840 --> 00:22:40,399 Speaker 3: or a Republican. I don't know about the makeup of 399 00:22:40,440 --> 00:22:43,640 Speaker 3: the audience. Do you remember is the Is it always 400 00:22:43,720 --> 00:22:46,720 Speaker 3: the case? I mean, I'm sure it's always the case 401 00:22:46,720 --> 00:22:49,119 Speaker 3: that if you have a democratic president, more Democrats watching 402 00:22:49,200 --> 00:22:50,560 Speaker 3: Republicans and vice versa. 403 00:22:50,960 --> 00:22:54,479 Speaker 1: Yes, sure, But is it overwhelmingly that way? I don't remember. 404 00:22:54,640 --> 00:22:58,280 Speaker 3: I don't remember either, have we Is that just like 405 00:22:58,440 --> 00:23:02,520 Speaker 3: part of the new era we're in where only Republicans 406 00:23:02,560 --> 00:23:05,080 Speaker 3: are going to watch a Republican president, only democrats away, 407 00:23:05,119 --> 00:23:07,280 Speaker 3: and so all of this will be skewed. 408 00:23:07,320 --> 00:23:09,960 Speaker 1: I don't know about that. Given the fact that the 409 00:23:10,000 --> 00:23:13,240 Speaker 1: state of the Union address has just become a campaign speech, 410 00:23:14,880 --> 00:23:18,360 Speaker 1: you know, whether it's Joe Biden or halfway Kamala Harris 411 00:23:18,480 --> 00:23:21,800 Speaker 1: or Barack Obama. I heard they're jabbering plenty. I didn't. 412 00:23:21,800 --> 00:23:23,280 Speaker 1: You know, if I could do this for a living, 413 00:23:23,520 --> 00:23:25,320 Speaker 1: why do I want to tune into one of his 414 00:23:25,480 --> 00:23:28,200 Speaker 1: campaign speeches? So it's probably pretty heavily partisan. 415 00:23:28,320 --> 00:23:32,360 Speaker 3: Yeah, so then if that's the fact, well, so it's 416 00:23:32,520 --> 00:23:38,760 Speaker 3: half Republicans. The fact that three quarters of people thought 417 00:23:38,840 --> 00:23:42,720 Speaker 3: the speech was great, that means you're doing better than 418 00:23:42,800 --> 00:23:43,800 Speaker 3: just Republicans. 419 00:23:44,520 --> 00:23:49,800 Speaker 1: Uh. Yeah, Well again, depending on the distribution of the 420 00:23:49,840 --> 00:23:53,080 Speaker 1: audience Republicans, Independence, and Democrats, which isn't clear to me. 421 00:23:53,600 --> 00:23:55,679 Speaker 1: You didn't mention that, right, or did you? 422 00:23:55,880 --> 00:23:59,800 Speaker 3: Over half Republicans watch the speech of watchers over half 423 00:23:59,800 --> 00:24:03,040 Speaker 3: a Republicans, Yeah, and then twenty seven percent Independence, twenty 424 00:24:03,040 --> 00:24:03,919 Speaker 3: percent Democrats. 425 00:24:04,040 --> 00:24:06,399 Speaker 1: Okay, sorry, I was thinking of other things and missed that. 426 00:24:06,480 --> 00:24:09,680 Speaker 1: But yeah, clearly I was going to say, yeah, Republicans 427 00:24:09,720 --> 00:24:12,080 Speaker 1: are watching, but a lot of you know, Trump agnostic 428 00:24:12,160 --> 00:24:14,760 Speaker 1: or Trump friendly independence, I'm sure watch too. It was 429 00:24:14,800 --> 00:24:18,119 Speaker 1: a really good the first chunk of it was a 430 00:24:18,160 --> 00:24:21,760 Speaker 1: really good speech. How he went deep into the night. 431 00:24:22,080 --> 00:24:23,680 Speaker 1: I don't get why he does that. Maybe you're right, 432 00:24:23,680 --> 00:24:26,679 Speaker 1: he's just trying to generate more sound bites because most 433 00:24:26,720 --> 00:24:29,439 Speaker 1: people take it in through the echo chamber. But it 434 00:24:29,480 --> 00:24:33,520 Speaker 1: was good. It was terrific. And I'm highly trump skeptical 435 00:24:33,520 --> 00:24:36,720 Speaker 1: on a lot of things. Everybody knows that, but as 436 00:24:36,800 --> 00:24:40,919 Speaker 1: a celebration of the progress and rallying the country behind 437 00:24:41,040 --> 00:24:43,600 Speaker 1: the things he's trying to do that we all agree on, 438 00:24:44,080 --> 00:24:47,520 Speaker 1: eliminating government waste, getting men out of women's sports and 439 00:24:47,560 --> 00:24:51,600 Speaker 1: women's private places, all that stuff. I thought he presented 440 00:24:51,640 --> 00:24:56,840 Speaker 1: it in a very down to earth, easy to digest way. 441 00:24:56,840 --> 00:25:00,000 Speaker 1: I thought it was very effective. Yeah. 442 00:25:00,080 --> 00:25:05,720 Speaker 3: I saw Jeff Greenfeld, he wrote a piece for Politico 443 00:25:07,440 --> 00:25:11,199 Speaker 3: fairly praising of Trump's speech from his standpoint, I mean, 444 00:25:11,240 --> 00:25:14,480 Speaker 3: because a smart pundit, if you're not just a naked partisan, 445 00:25:15,040 --> 00:25:17,040 Speaker 3: you would say, I mean, you would say, even if 446 00:25:17,080 --> 00:25:19,280 Speaker 3: you hate Trump, I hate Trump. I hate everything he's doing. 447 00:25:19,320 --> 00:25:21,160 Speaker 3: But that was good for him. That was a win 448 00:25:21,280 --> 00:25:23,760 Speaker 3: for him, which is I saw a number of people say, oh, 449 00:25:23,760 --> 00:25:26,320 Speaker 3: that's what everybody on the Dispatch said last night. Dispatch 450 00:25:26,359 --> 00:25:31,119 Speaker 3: is a conservative publication. If you don't know what website. 451 00:25:32,040 --> 00:25:35,239 Speaker 3: None of them like Trump, but they all thought it 452 00:25:35,280 --> 00:25:36,480 Speaker 3: was a net win for Trump. 453 00:25:36,520 --> 00:25:37,520 Speaker 1: Definitely last night. 454 00:25:38,920 --> 00:25:44,400 Speaker 3: Politico writing today, the actual headline is giving Bingo Democrats 455 00:25:44,440 --> 00:25:48,800 Speaker 3: silent protest against Trump falls flat. That's the everybody holding 456 00:25:48,840 --> 00:25:51,639 Speaker 3: up the little signs that say various things. Looking at 457 00:25:51,680 --> 00:25:57,639 Speaker 3: the signs, must steals, save Medicaid, protect veterans. 458 00:25:57,960 --> 00:25:59,280 Speaker 1: Okay, just false. 459 00:26:00,040 --> 00:26:03,040 Speaker 3: One of the problems with those signs I saw pointed 460 00:26:03,080 --> 00:26:06,680 Speaker 3: out on social media was they were so easily mimable. 461 00:26:07,080 --> 00:26:11,200 Speaker 3: It takes very little pharoshop skill to change those signs 462 00:26:11,200 --> 00:26:13,080 Speaker 3: into all kinds of ridiculous things that a lot of 463 00:26:13,080 --> 00:26:16,560 Speaker 3: people write, right, I'm a moron or whatever. 464 00:26:16,640 --> 00:26:20,159 Speaker 1: Well, and the great grand standing moment at the beginning 465 00:26:20,200 --> 00:26:24,480 Speaker 1: of the thing where al Green, the ancient lunatic who 466 00:26:24,520 --> 00:26:28,119 Speaker 1: even Democrats wish would die. They don't say that on 467 00:26:28,160 --> 00:26:31,040 Speaker 1: the record, of course, but they want it, the fact 468 00:26:31,040 --> 00:26:35,840 Speaker 1: that he was the big grand standy I'm against Trump leader, 469 00:26:36,320 --> 00:26:40,600 Speaker 1: an ancient lunatic shaking his cane. I mean, it was 470 00:26:40,680 --> 00:26:43,520 Speaker 1: beyond parody. It was the stuff of like a really 471 00:26:43,640 --> 00:26:45,520 Speaker 1: good Saturday Night Live sketch. 472 00:26:46,040 --> 00:26:48,280 Speaker 3: Well, an ancient lunatic I'd never heard of. And I 473 00:26:48,320 --> 00:26:53,040 Speaker 3: follow politics more closely obviously than most people do the 474 00:26:53,080 --> 00:26:58,360 Speaker 3: pulling on that. Seventy six percent of people approved of 475 00:26:58,440 --> 00:27:01,160 Speaker 3: carrying that old guy out of there. I was hoping 476 00:27:01,200 --> 00:27:03,639 Speaker 3: he was gonna like shove one of those dudes or like, 477 00:27:03,680 --> 00:27:04,600 Speaker 3: you know, make a real. 478 00:27:04,400 --> 00:27:07,080 Speaker 1: Scene, right, try to turn it into you know, the 479 00:27:07,280 --> 00:27:10,560 Speaker 1: Selma March or something like that, because that was the thing. 480 00:27:11,160 --> 00:27:12,800 Speaker 1: I wasn't sure how I was gonna go because it 481 00:27:12,880 --> 00:27:16,320 Speaker 1: was so obviously performing, right, I mean, it was new 482 00:27:16,400 --> 00:27:17,639 Speaker 1: he was gonna get kicked out for that. 483 00:27:17,800 --> 00:27:19,600 Speaker 3: He was told Stopper, he'll get kicked out, and he 484 00:27:19,680 --> 00:27:22,280 Speaker 3: kept on with the hopes that he would get kicked out. 485 00:27:22,640 --> 00:27:26,320 Speaker 1: Right, exactly, it was just so according to an obvious script. 486 00:27:26,640 --> 00:27:29,119 Speaker 1: Mostly it was eye rolling and chuckling at the whole 487 00:27:29,320 --> 00:27:32,639 Speaker 1: idiotic exhibition. And then Annie went on. Trump went with 488 00:27:32,720 --> 00:27:33,199 Speaker 1: a speech. 489 00:27:34,960 --> 00:27:40,359 Speaker 3: Yeah, AnyWho, that's that. Nobody will even remember. It happened 490 00:27:40,359 --> 00:27:40,960 Speaker 3: by Friday. 491 00:27:42,400 --> 00:27:44,720 Speaker 1: Oh, the getting kicked out of the speech now the 492 00:27:44,760 --> 00:27:48,320 Speaker 1: whole speech. Yeah. The only effect it might have is 493 00:27:48,400 --> 00:27:51,240 Speaker 1: it was a bigger audience than usual for look at 494 00:27:51,240 --> 00:27:54,639 Speaker 1: the crazy s we've found in the budget, or trying 495 00:27:54,640 --> 00:27:58,160 Speaker 1: to save your taxpayer dollars. That part was really effective. 496 00:27:58,320 --> 00:28:00,520 Speaker 1: Could nudge the needle We've. 497 00:28:00,320 --> 00:28:03,520 Speaker 3: Got such big stories, like real stories going on right now. 498 00:28:03,560 --> 00:28:08,120 Speaker 3: The tariff thing, depending on how long that lasts, that's 499 00:28:08,160 --> 00:28:10,040 Speaker 3: going to be the talk of the country if it 500 00:28:10,119 --> 00:28:14,840 Speaker 3: lasts very long and people start seeing significant price increases. 501 00:28:15,840 --> 00:28:19,159 Speaker 3: And then the whole Ukraine Russia thing, which could go. 502 00:28:19,359 --> 00:28:20,320 Speaker 3: Who knows how that's going. 503 00:28:20,240 --> 00:28:22,520 Speaker 1: To turn out, and that might just be a single 504 00:28:22,680 --> 00:28:27,200 Speaker 1: theater of the alleged greater scheme to switch away from 505 00:28:27,240 --> 00:28:31,040 Speaker 1: the American led rules based international order to more spheres 506 00:28:31,080 --> 00:28:35,440 Speaker 1: of influence great nations, old timey way to arrange the globe. 507 00:28:35,520 --> 00:28:36,919 Speaker 3: Am I right that Trump said We're going to get 508 00:28:36,960 --> 00:28:40,520 Speaker 3: Greenland last night? I don't know I read that up there. 509 00:28:40,520 --> 00:28:42,520 Speaker 3: I don't know if we have that we have that clip, Penson, 510 00:28:42,560 --> 00:28:44,440 Speaker 3: but I read it up on the sorry one about it. 511 00:28:44,480 --> 00:28:47,160 Speaker 3: Trump said to Greenland will be ours. Oh, here you 512 00:28:47,160 --> 00:28:48,000 Speaker 3: go seventy six. 513 00:28:48,480 --> 00:28:51,440 Speaker 2: And I also have a message tonight for the incredible 514 00:28:51,480 --> 00:28:57,160 Speaker 2: people of Greenland. We strongly support your right to determine 515 00:28:57,200 --> 00:29:00,960 Speaker 2: your own future, and if you choose, we welcome you 516 00:29:01,000 --> 00:29:04,200 Speaker 2: into the United States of America. We need Greenland for 517 00:29:05,200 --> 00:29:09,120 Speaker 2: national security and even international security, and we're working with 518 00:29:09,200 --> 00:29:12,000 Speaker 2: everybody involved to try and get it, but we need 519 00:29:12,040 --> 00:29:16,520 Speaker 2: it really for international world security. And I think we're 520 00:29:16,520 --> 00:29:18,080 Speaker 2: going to get it one. 521 00:29:17,920 --> 00:29:19,440 Speaker 1: Way or the other. We're going to get it one 522 00:29:19,440 --> 00:29:21,320 Speaker 1: way or the other. Okay, there you go. 523 00:29:21,720 --> 00:29:25,080 Speaker 2: We will keep you say, we will make you rich, 524 00:29:25,160 --> 00:29:28,480 Speaker 2: and together we will take Greenland to heights like you 525 00:29:28,600 --> 00:29:30,360 Speaker 2: have never thought possible before. 526 00:29:31,720 --> 00:29:35,240 Speaker 1: Yeah, just to install fifty million space heaters around to 527 00:29:35,320 --> 00:29:37,120 Speaker 1: warm the place up, that'd be a start. Well, it 528 00:29:37,200 --> 00:29:39,840 Speaker 1: reminds me of the Panama strategy where he's talking about 529 00:29:39,840 --> 00:29:42,560 Speaker 1: taking the canal back by force. And yesterday, if you 530 00:29:42,560 --> 00:29:44,880 Speaker 1: didn't hear this, we mentioned it lay Dish in the 531 00:29:44,920 --> 00:29:48,400 Speaker 1: show that an American company, well black Rock Investments, that 532 00:29:48,440 --> 00:29:51,400 Speaker 1: the investment giant had bought the port facilities at either 533 00:29:51,480 --> 00:29:54,000 Speaker 1: end of the canal from the Hong Kong based company 534 00:29:54,040 --> 00:29:57,160 Speaker 1: that had been running them. So you know, and I've 535 00:29:57,200 --> 00:30:00,560 Speaker 1: said this from the beginning, he's angling toward an enhanced 536 00:30:00,600 --> 00:30:07,480 Speaker 1: security agreement with Greenland and it's Danish overlords. I can 537 00:30:07,520 --> 00:30:09,680 Speaker 1: hardly see the road with the heat rising up on 538 00:30:09,720 --> 00:30:16,920 Speaker 1: the horizon. Panama, Wow, Greenland. 539 00:30:17,840 --> 00:30:20,480 Speaker 3: So he actually wants Greenland, though I don't think this 540 00:30:20,560 --> 00:30:24,600 Speaker 3: is just a point and I as a what a 541 00:30:24,720 --> 00:30:27,320 Speaker 3: territory or whatever. We would make it like something like 542 00:30:27,360 --> 00:30:31,560 Speaker 3: what Guam is or something. But I've read a number 543 00:30:31,600 --> 00:30:34,360 Speaker 3: of pundits that I was surprised that were like, all in, oh, yeah, 544 00:30:34,360 --> 00:30:36,480 Speaker 3: we should absolutely find a way to get Greenland. It's 545 00:30:36,520 --> 00:30:38,840 Speaker 3: very important to the future of the safety. 546 00:30:38,480 --> 00:30:41,000 Speaker 1: Of the world and everything like that. Now, but I 547 00:30:41,120 --> 00:30:42,720 Speaker 1: agree completely for the record. 548 00:30:42,480 --> 00:30:44,880 Speaker 3: It's not up to the green Greenlanders, is isn't it 549 00:30:45,000 --> 00:30:47,200 Speaker 3: up to the Danes? Don't they own Greenland or someone? 550 00:30:47,440 --> 00:30:50,240 Speaker 1: Well, they've got a pretty good right of self determination 551 00:30:51,080 --> 00:30:54,240 Speaker 1: to the extent that I understand the Danish system. I 552 00:30:54,320 --> 00:30:58,320 Speaker 1: understand a nice Danish with a cup of coffee. But yeah, 553 00:30:58,360 --> 00:31:00,440 Speaker 1: the people of Greenland decide there faith. 554 00:31:01,120 --> 00:31:04,360 Speaker 3: The population of fifty six thousand. Buy them each car, 555 00:31:04,920 --> 00:31:07,200 Speaker 3: vote for it. I'll buy a car. Well, it cost 556 00:31:07,280 --> 00:31:10,400 Speaker 3: us nothing. Why are you so belligerent? You are the 557 00:31:10,560 --> 00:31:12,760 Speaker 3: ugly American. This disgusts me. 558 00:31:13,120 --> 00:31:16,240 Speaker 1: Here's what's going to happen. Here's all Trump is saying. 559 00:31:16,360 --> 00:31:20,240 Speaker 1: And this goes again to the here's our sphere of influence, 560 00:31:20,440 --> 00:31:23,280 Speaker 1: there's your sphere of influence. We won't screw with yours. 561 00:31:23,320 --> 00:31:26,040 Speaker 1: You don't screw with ours. New world order that they're 562 00:31:26,040 --> 00:31:29,840 Speaker 1: talking about building. We have to have Greenland to protect 563 00:31:29,920 --> 00:31:34,280 Speaker 1: the Arctic Circle and the northern shipping and military passages. 564 00:31:35,000 --> 00:31:37,240 Speaker 1: And it might be some sort of protectorate status. It 565 00:31:37,320 --> 00:31:40,560 Speaker 1: might just be here's what he's going for, a one 566 00:31:40,680 --> 00:31:50,880 Speaker 1: hundred percent certain alliance with Greenland or Denmark, or we 567 00:31:50,920 --> 00:31:53,240 Speaker 1: own it so that we always know it's on our 568 00:31:53,320 --> 00:31:55,960 Speaker 1: side in our sphere of influence, in whatever shape that takes. 569 00:31:56,360 --> 00:31:59,200 Speaker 3: You want Santa under the control of the Chinese, We 570 00:31:59,240 --> 00:31:59,880 Speaker 3: need Greenland? 571 00:32:00,360 --> 00:32:02,720 Speaker 1: Is that what you want? I was reading some really 572 00:32:02,800 --> 00:32:04,760 Speaker 1: interesting stuff about Greenland the other day. Do we have 573 00:32:04,760 --> 00:32:08,120 Speaker 1: time for this? I find that hard to believe. Uh 574 00:32:08,160 --> 00:32:12,040 Speaker 1: what No, I was super interesting. If you're into mining logistics, 575 00:32:12,120 --> 00:32:17,040 Speaker 1: and you know me mining logistics, getting the crap out 576 00:32:17,040 --> 00:32:19,480 Speaker 1: of the ground there may be one of the most 577 00:32:19,520 --> 00:32:25,000 Speaker 1: logistically daunting tasks anybody's ever imagined. Giant mining company after 578 00:32:25,040 --> 00:32:28,360 Speaker 1: mining companies looked into it, seen the enormous wealth to 579 00:32:28,400 --> 00:32:31,040 Speaker 1: be extracted and said no. 580 00:32:31,520 --> 00:32:34,600 Speaker 3: But couldn't we not literally bribe them, like give you 581 00:32:34,640 --> 00:32:36,920 Speaker 3: a car, but make it clear to him your economy's 582 00:32:36,960 --> 00:32:39,200 Speaker 3: going to be so different if you come under the 583 00:32:39,240 --> 00:32:41,120 Speaker 3: sway of the United States, You're all going to be. 584 00:32:41,120 --> 00:32:46,200 Speaker 1: Wealthy for one thing. Yeah, if we could promise them that, 585 00:32:46,520 --> 00:32:49,680 Speaker 1: I think we can. Can we sure? What do you 586 00:32:49,760 --> 00:32:53,840 Speaker 1: know about mining logistics? Nothing? And I wasn't reading about 587 00:32:53,840 --> 00:32:56,880 Speaker 1: it the other day and the adults are talking all 588 00:32:56,960 --> 00:33:06,120 Speaker 1: right here? Who are twenty six twenty point games this year? 589 00:33:06,800 --> 00:33:15,120 Speaker 1: Lebron col for three twenty two seasons, forty years of age, 590 00:33:15,640 --> 00:33:19,240 Speaker 1: what contests fifty thousand and two. 591 00:33:19,160 --> 00:33:23,360 Speaker 3: Points is already the leading scorer in NBA history. Now 592 00:33:23,360 --> 00:33:26,320 Speaker 3: he is by a lot, hitting fifty thousand points. Nobody 593 00:33:26,360 --> 00:33:28,640 Speaker 3: thought that would ever be possible. It helps if you 594 00:33:28,640 --> 00:33:32,600 Speaker 3: start when you're eighteen and are really really good, but. 595 00:33:33,160 --> 00:33:35,840 Speaker 1: Until you're sixty five. Apparently that seems to be the plan. 596 00:33:36,200 --> 00:33:40,920 Speaker 3: He's forty, and they are in first place in their division, 597 00:33:41,040 --> 00:33:42,600 Speaker 3: and they got one of the best players in the 598 00:33:42,680 --> 00:33:45,120 Speaker 3: NBA to join him, and he's young Luka Doncic, and 599 00:33:45,400 --> 00:33:46,920 Speaker 3: they're gonna be a finals contender. 600 00:33:47,000 --> 00:33:48,600 Speaker 1: That'll be fun to watch. I think. 601 00:33:50,680 --> 00:33:53,400 Speaker 3: I was just watching some news, and you know how 602 00:33:54,320 --> 00:33:59,040 Speaker 3: during COVID, people weren't going into studios, so guests on 603 00:33:59,120 --> 00:34:02,440 Speaker 3: TV were doing their thing from home, which was new, 604 00:34:03,040 --> 00:34:07,480 Speaker 3: but it is continued. A lot of people or organizations 605 00:34:07,480 --> 00:34:10,000 Speaker 3: have decided, what do we make an you drive clear 606 00:34:10,000 --> 00:34:12,320 Speaker 3: across New York or DC, or fly across the country 607 00:34:12,400 --> 00:34:14,440 Speaker 3: or whatever to be in the studio when you can 608 00:34:14,480 --> 00:34:16,680 Speaker 3: just do it from home. And then also the whole 609 00:34:18,880 --> 00:34:20,760 Speaker 3: not only am I not gonna throw on a suit, 610 00:34:21,280 --> 00:34:23,520 Speaker 3: I'm not even gonna throw on a decent shirt. 611 00:34:24,760 --> 00:34:27,200 Speaker 1: Or put away the cereal bowl on the counter behind me. 612 00:34:28,040 --> 00:34:31,479 Speaker 3: It's just amazing how many people just don't care. 613 00:34:31,640 --> 00:34:35,080 Speaker 1: And I'm not sure it matters. So what difference does 614 00:34:35,080 --> 00:34:38,359 Speaker 1: it make? Yeah, it's funny. I've done enough of that. 615 00:34:38,440 --> 00:34:41,319 Speaker 1: I've tried to come up with a perfect background, you know, 616 00:34:41,440 --> 00:34:45,080 Speaker 1: the right books and the right look and all that. Eh. 617 00:34:45,160 --> 00:34:48,239 Speaker 1: Then I see some like great pundits whore and this 618 00:34:48,440 --> 00:34:53,040 Speaker 1: is true a lot in DC. You see their background 619 00:34:53,080 --> 00:34:55,839 Speaker 1: and you realize, oh, you have much more influence than 620 00:34:55,880 --> 00:34:59,000 Speaker 1: money because they're you know, doing their shot from a 621 00:34:59,120 --> 00:35:03,759 Speaker 1: very very modest basement room there in Dcah. Hey, I 622 00:35:03,760 --> 00:35:04,400 Speaker 1: want to mention this. 623 00:35:04,480 --> 00:35:06,719 Speaker 3: So I met brought up on the show yesterday that 624 00:35:06,760 --> 00:35:09,200 Speaker 3: Dolly Parton's husband died of all weird stories, but she 625 00:35:09,280 --> 00:35:11,000 Speaker 3: had been married to the same guy for sixty years 626 00:35:11,080 --> 00:35:13,520 Speaker 3: and met him when at the laundromat when she was eighteen. 627 00:35:14,200 --> 00:35:16,680 Speaker 1: He saw her devil too. I've seen pictures back in 628 00:35:16,719 --> 00:35:17,040 Speaker 1: the day. 629 00:35:17,160 --> 00:35:18,799 Speaker 3: He saw him for the first saw her for the 630 00:35:18,800 --> 00:35:21,040 Speaker 3: first time, thought I'm going to marry that girl. And 631 00:35:21,360 --> 00:35:23,160 Speaker 3: he did two years later, and they stayed married the 632 00:35:23,160 --> 00:35:27,799 Speaker 3: whole time, and very happily married from all accounts from 633 00:35:27,840 --> 00:35:30,400 Speaker 3: both of them. But this, yes, interesting. Yesterday I saw this, 634 00:35:30,400 --> 00:35:35,720 Speaker 3: tweeted out Carl Dean. That's Dolly Parton's husband. Married young, 635 00:35:36,239 --> 00:35:39,880 Speaker 3: gave zero fs about fame and fortune. He laid us 636 00:35:39,920 --> 00:35:42,280 Speaker 3: asphalt for a living. He ran an asphalt laying company 637 00:35:43,280 --> 00:35:50,479 Speaker 3: for sixty years, married to a very famous woman. Zero 638 00:35:50,680 --> 00:35:57,480 Speaker 3: Facebook posts, zero tweets, ten for ten life legend. Yeah, 639 00:35:57,760 --> 00:35:59,840 Speaker 3: just so somebody you had no interest in putting his 640 00:36:00,040 --> 00:36:02,359 Speaker 3: opinion out there about everything that happens in the world, 641 00:36:02,480 --> 00:36:04,680 Speaker 3: or any opinions about anything. Just gonna live my life. 642 00:36:04,680 --> 00:36:06,719 Speaker 3: I don't care how famous I could be or how 643 00:36:06,760 --> 00:36:07,719 Speaker 3: much attention I could get. 644 00:36:07,760 --> 00:36:10,160 Speaker 1: I just don't care. Worked hard and loved a woman, 645 00:36:10,680 --> 00:36:13,959 Speaker 1: It's all right. Why don't more people do that? You'd 646 00:36:13,960 --> 00:36:20,640 Speaker 1: be happier. Lust for fame is difficult to explain. It 647 00:36:20,640 --> 00:36:23,200 Speaker 1: seems to be damn near Universe. We do four hours. 648 00:36:23,200 --> 00:36:25,000 Speaker 3: If you miss an hour, get the podcast Armstrong and 649 00:36:25,040 --> 00:36:29,480 Speaker 3: Getty on demand Armstrong and Getty