1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:10,600 Speaker 1: today's best minds. And you're going to be shocked to 4 00:00:10,640 --> 00:00:13,800 Speaker 1: hear this Home Depot says it's raising prices. You know 5 00:00:13,920 --> 00:00:16,840 Speaker 1: why because of the tariffs. We have a great show 6 00:00:16,840 --> 00:00:21,320 Speaker 1: for you today, talking Points memos, own Josh Marshall stops 7 00:00:21,320 --> 00:00:25,200 Speaker 1: by to talk about Trump's unpopular agenda. Then we'll talk 8 00:00:25,239 --> 00:00:30,760 Speaker 1: to the Cato Institute's Scott Linscombe about tariffs and how 9 00:00:30,840 --> 00:00:35,400 Speaker 1: they are completely undermining our entire economy. But first we 10 00:00:35,560 --> 00:00:39,120 Speaker 1: have the most important stories that aren't getting the attention 11 00:00:39,400 --> 00:00:43,440 Speaker 1: they deserve. Mai, we're giddy with how terrible everything is. 12 00:00:43,560 --> 00:00:46,960 Speaker 2: Let's go that's kind of accurate. Actually today this is 13 00:00:47,080 --> 00:00:50,559 Speaker 2: really something. So I think of how much trauma of 14 00:00:50,600 --> 00:00:53,520 Speaker 2: my childhood was, how much I was policed and home 15 00:00:53,560 --> 00:00:55,920 Speaker 2: monitored as a kid because I was a bad kid. 16 00:00:55,920 --> 00:00:58,920 Speaker 2: But now, this is how the Republicans in Texas are 17 00:00:58,960 --> 00:01:01,680 Speaker 2: behaving towards democh product representatives. Is they want them to 18 00:01:01,680 --> 00:01:04,600 Speaker 2: get basically like whole passes to move around, and they 19 00:01:04,680 --> 00:01:07,480 Speaker 2: want them to have police escorts so they can't leave 20 00:01:07,640 --> 00:01:10,399 Speaker 2: the state. Because they really want to do this, stupid 21 00:01:10,480 --> 00:01:12,640 Speaker 2: Jerrymander that's going to really fuck them over. 22 00:01:13,000 --> 00:01:16,920 Speaker 1: Yes, Okay, So here's the thing. Republicans in Texas are 23 00:01:17,040 --> 00:01:21,360 Speaker 1: stealing five seats in Congress. And they're doing this because 24 00:01:21,400 --> 00:01:25,280 Speaker 1: Donald Trump asked them to and because Governor Abbot thinks 25 00:01:25,280 --> 00:01:27,880 Speaker 1: that he can run for president. I mean, that's really 26 00:01:27,920 --> 00:01:31,160 Speaker 1: what this is. Okay. Governor Abbot is a Republican. He 27 00:01:31,240 --> 00:01:34,319 Speaker 1: knows the only way to inherit Maga is with the 28 00:01:34,360 --> 00:01:37,200 Speaker 1: blessing of Donald Trump. He thinks that somehow he will 29 00:01:37,240 --> 00:01:39,800 Speaker 1: become the inheritor of Maga, and so he is giving 30 00:01:39,800 --> 00:01:43,000 Speaker 1: Donald Trump five seats in Congress. Now, let me explain 31 00:01:43,080 --> 00:01:47,160 Speaker 1: to you why this is insane. Okay, mid decade redistricting 32 00:01:47,520 --> 00:01:51,960 Speaker 1: is almost unprecedented. Right, we have a census. The census 33 00:01:52,200 --> 00:01:54,760 Speaker 1: tells you what the numbers are, gives you the number 34 00:01:54,800 --> 00:01:58,120 Speaker 1: of congressional seats. There's redistricting around this. What happened here 35 00:01:58,400 --> 00:02:00,920 Speaker 1: was literally Donald Trump was like, I cannot lose the 36 00:02:00,960 --> 00:02:04,720 Speaker 1: House because then there'll be some accountability. I cannot have 37 00:02:04,960 --> 00:02:09,720 Speaker 1: any accountability because I'm having too good a time right now, airgo, 38 00:02:10,560 --> 00:02:13,520 Speaker 1: you have to make sure I keep the House. Democrats 39 00:02:13,560 --> 00:02:16,120 Speaker 1: did the only thing that they could possibly do because 40 00:02:16,120 --> 00:02:19,639 Speaker 1: they do not control state legislature, and they left right 41 00:02:19,680 --> 00:02:22,359 Speaker 1: that Texas has a thing where you can deny a 42 00:02:22,440 --> 00:02:25,600 Speaker 1: quorum if you leave this date. Now the special session 43 00:02:25,840 --> 00:02:29,200 Speaker 1: is over, it's August nineteenth. They came back. They're going 44 00:02:29,280 --> 00:02:31,480 Speaker 1: to fight it in another way. Do I think it's 45 00:02:31,520 --> 00:02:33,280 Speaker 1: the right move. No. I think they should have just 46 00:02:33,320 --> 00:02:36,000 Speaker 1: stayed out of the state until November. I think that 47 00:02:36,240 --> 00:02:40,800 Speaker 1: would have prevented this, and it would have made time 48 00:02:41,200 --> 00:02:43,960 Speaker 1: for Republicans to realize that a lot of them are 49 00:02:44,040 --> 00:02:46,200 Speaker 1: going to get jerry mandered out of their seats if 50 00:02:46,200 --> 00:02:48,280 Speaker 1: this if we open the door to this, but I 51 00:02:48,280 --> 00:02:50,720 Speaker 1: think it's too late. So now Republicans are going to 52 00:02:50,720 --> 00:02:55,080 Speaker 1: go along with stealing these five seats. One Democrat, Representative 53 00:02:55,120 --> 00:02:58,480 Speaker 1: Collier of District ninety five and Fort Worth, has refused 54 00:02:58,480 --> 00:03:01,240 Speaker 1: to sign these permission slips, and so she is going 55 00:03:01,320 --> 00:03:05,160 Speaker 1: to sit in the chamber. I understand that all of 56 00:03:05,200 --> 00:03:10,280 Speaker 1: this seems stupid to Trumpers, to people who are cynical, 57 00:03:10,720 --> 00:03:12,799 Speaker 1: but the reality is the only way we're going to 58 00:03:12,840 --> 00:03:15,880 Speaker 1: say survive this period is if people do brave shit 59 00:03:16,000 --> 00:03:18,360 Speaker 1: like this. Okay, if they say no, I'm not going 60 00:03:18,440 --> 00:03:21,519 Speaker 1: to do that if they say no. And so as 61 00:03:21,600 --> 00:03:26,079 Speaker 1: much as you may not like Representative Collier, this is 62 00:03:26,800 --> 00:03:30,519 Speaker 1: extremely important to do things like this. You know, this 63 00:03:30,560 --> 00:03:33,640 Speaker 1: is like a terrible moment in American life where things 64 00:03:33,639 --> 00:03:37,760 Speaker 1: are really fucking scary and she just says, I'll just 65 00:03:37,800 --> 00:03:40,400 Speaker 1: sit here. I don't know. I guess I'll wait till Wednesday. 66 00:03:40,760 --> 00:03:44,200 Speaker 1: So good for her, and we should support people who 67 00:03:44,240 --> 00:03:47,520 Speaker 1: are being brave, because most people are being fucking cowards. 68 00:03:48,000 --> 00:03:51,520 Speaker 2: Yeah. When I think of though, there's this weird gray 69 00:03:51,600 --> 00:03:53,680 Speaker 2: area where you're like, what the fuck is going on 70 00:03:53,760 --> 00:03:56,720 Speaker 2: with something? So a few weeks ago, Dan Bongino, no 71 00:03:56,840 --> 00:03:59,360 Speaker 2: friend of ours, kind of let it rip that like 72 00:03:59,440 --> 00:04:01,200 Speaker 2: he was pretty disturbed by what he saw on the 73 00:04:01,240 --> 00:04:04,240 Speaker 2: Epstein files, and it seems he might be on the 74 00:04:04,280 --> 00:04:06,200 Speaker 2: way out at the FBI. 75 00:04:06,720 --> 00:04:09,800 Speaker 1: Wait you think Bongino is not going to last at 76 00:04:09,800 --> 00:04:10,440 Speaker 1: the FBI. 77 00:04:11,080 --> 00:04:12,680 Speaker 2: I have to tell you one of the things, like 78 00:04:12,760 --> 00:04:15,400 Speaker 2: when we're always deciphering between the bullshit artists and the 79 00:04:15,440 --> 00:04:18,400 Speaker 2: true believers, there is this like weird thing that he 80 00:04:18,560 --> 00:04:20,960 Speaker 2: has like a little bit of both in him, Like 81 00:04:21,000 --> 00:04:24,240 Speaker 2: you know, he'll grift you for protein shake, but he'll 82 00:04:24,240 --> 00:04:28,240 Speaker 2: also really seems seems like his anger towards things fuels him. 83 00:04:28,240 --> 00:04:29,880 Speaker 2: And I will tell you I bought that he was 84 00:04:29,920 --> 00:04:31,960 Speaker 2: a little shook by the Epstein files. It seems a 85 00:04:31,960 --> 00:04:33,280 Speaker 2: lot of the reporting has set up. 86 00:04:33,360 --> 00:04:35,800 Speaker 1: Or he just makes a lot more money doing the podcast. 87 00:04:35,920 --> 00:04:37,279 Speaker 2: Well, I mean that can be. 88 00:04:40,960 --> 00:04:43,360 Speaker 1: I mean, I would love to ascribe meaning to Dan 89 00:04:43,440 --> 00:04:47,360 Speaker 1: Bongino's temper tantrums, but I just what there is math. 90 00:04:47,480 --> 00:04:49,640 Speaker 1: There is a thing called math. He has more power 91 00:04:49,800 --> 00:04:52,719 Speaker 1: and makes more money doing the podcast than sitting in 92 00:04:52,760 --> 00:04:56,320 Speaker 1: an office. So but either way, who are we to 93 00:04:56,480 --> 00:05:00,560 Speaker 1: cast aspersions at Dan Bongino? He may very I'll be 94 00:05:00,920 --> 00:05:03,599 Speaker 1: on his way out. We are thrilled to welcome Andrew 95 00:05:03,600 --> 00:05:07,600 Speaker 1: Bailey as co Deputy Director of the FBI. Bondie told 96 00:05:07,839 --> 00:05:10,840 Speaker 1: state run media Fox News Digital he has served as 97 00:05:10,920 --> 00:05:16,520 Speaker 1: Distinguished date Attorney General and also another Trump Lackie. Congratulations 98 00:05:16,560 --> 00:05:18,080 Speaker 1: to all who celebrate, it's going. 99 00:05:18,000 --> 00:05:18,479 Speaker 3: To be great. 100 00:05:18,720 --> 00:05:23,200 Speaker 2: Speaking of unsympathetic characters, at least the phonic just the 101 00:05:23,720 --> 00:05:26,520 Speaker 2: goal to show her space in public. She's thinking about 102 00:05:26,520 --> 00:05:29,000 Speaker 2: trying her Hannah as running for governor, which is really 103 00:05:29,040 --> 00:05:32,880 Speaker 2: going to go great considering at this appearance, I've heard 104 00:05:32,880 --> 00:05:35,240 Speaker 2: a lot of booze before, sometimes even when I've been 105 00:05:35,279 --> 00:05:36,560 Speaker 2: on stage, but nothing like. 106 00:05:36,480 --> 00:05:39,800 Speaker 1: This Marry Christmas. 107 00:05:39,880 --> 00:05:42,320 Speaker 2: In fact, I think I was once booed for, say 108 00:05:42,480 --> 00:05:45,000 Speaker 2: a joke about who she's going to run against for governor. 109 00:05:45,839 --> 00:05:48,599 Speaker 1: At least Dephonic. I think I was there for that, 110 00:05:49,120 --> 00:05:51,680 Speaker 1: Yes you were. It was drowned out by relentless booze 111 00:05:51,720 --> 00:05:54,240 Speaker 1: when she's spoken a Memorial Day event on Monday. Now 112 00:05:54,360 --> 00:05:56,560 Speaker 1: she's not in New York, she's not in Brooklyn, she's 113 00:05:56,600 --> 00:05:59,760 Speaker 1: in Plattsburgh. When she gets booed. All right, I want 114 00:05:59,760 --> 00:06:03,400 Speaker 1: to say two things about this. One least Devonic thinks 115 00:06:03,440 --> 00:06:05,880 Speaker 1: she's going to be governor next year of New York State. 116 00:06:06,080 --> 00:06:09,400 Speaker 1: But Lee Stevonic may also get Jerry Mander out of 117 00:06:09,480 --> 00:06:14,480 Speaker 1: her seat because since Texas stole five congressional seats, there's 118 00:06:14,520 --> 00:06:17,800 Speaker 1: a very likely scenario where New York I mean, Cuomo 119 00:06:17,880 --> 00:06:20,720 Speaker 1: did set it up so they couldn't have partisan redistricting 120 00:06:20,760 --> 00:06:23,520 Speaker 1: and put a GOP judge on that panel. But there 121 00:06:23,600 --> 00:06:27,280 Speaker 1: is a world where if Hochel is worth anything, which 122 00:06:27,320 --> 00:06:29,520 Speaker 1: I'm not convince she is, but if she is, she 123 00:06:29,680 --> 00:06:34,440 Speaker 1: will redistrict those five seats, and my man Aleis Stevonic 124 00:06:34,440 --> 00:06:37,680 Speaker 1: will neither be governor nor a member of Congress. I 125 00:06:37,760 --> 00:06:40,919 Speaker 1: for one, would love to see it the same. 126 00:06:41,279 --> 00:06:45,600 Speaker 2: So this is really exactly that. You know, often we're 127 00:06:45,640 --> 00:06:46,200 Speaker 2: saying we. 128 00:06:46,279 --> 00:06:51,280 Speaker 1: Particularly other shouted trader and go home, and some attendees 129 00:06:51,400 --> 00:06:54,880 Speaker 1: yelled a Nazi. You don't want to be called the 130 00:06:55,040 --> 00:06:56,960 Speaker 1: nazi anyway. Continue. 131 00:06:57,040 --> 00:06:59,720 Speaker 2: Yes, So a lot of the time we're discussing things 132 00:06:59,720 --> 00:07:02,839 Speaker 2: for twenty twenty five that came true. But this is 133 00:07:02,880 --> 00:07:05,120 Speaker 2: the type of thing that wasn't quite in there to 134 00:07:05,200 --> 00:07:07,159 Speaker 2: my memory at least. But I was like, this is 135 00:07:07,160 --> 00:07:10,880 Speaker 2: definitely gonna happen. Citizenship reviews now ask immigrants to show 136 00:07:11,080 --> 00:07:12,760 Speaker 2: positive contributions to the. 137 00:07:12,800 --> 00:07:17,440 Speaker 1: US, positive contributions right. Like, By the way, I'm so 138 00:07:17,680 --> 00:07:20,000 Speaker 1: angry about this because I've just you know, I have 139 00:07:20,040 --> 00:07:22,680 Speaker 1: so many friends who live in DC who have been 140 00:07:22,720 --> 00:07:25,840 Speaker 1: telling me about these horror stories about what has happened 141 00:07:25,960 --> 00:07:29,160 Speaker 1: under federalized DC, which is basically, there are a lot 142 00:07:29,320 --> 00:07:33,920 Speaker 1: of fat guys wearing vests that say police, and they 143 00:07:34,040 --> 00:07:38,520 Speaker 1: are chasing around anyone who's brown and who looks like 144 00:07:38,600 --> 00:07:42,280 Speaker 1: they're Hispanic, and they are chasing them down the streets 145 00:07:42,480 --> 00:07:47,520 Speaker 1: and beating them up and sending them in unmarked cars 146 00:07:47,880 --> 00:07:51,240 Speaker 1: to go to detention facilities to maybe get deported to 147 00:07:51,280 --> 00:07:54,920 Speaker 1: their own country and maybe get deported to Sudan where 148 00:07:54,920 --> 00:08:00,200 Speaker 1: they will die. This is so the idea that a 149 00:08:00,600 --> 00:08:04,640 Speaker 1: good moral character, like good moral character starts at home. Man, 150 00:08:05,080 --> 00:08:08,600 Speaker 1: we are not showing good and moral character. We are 151 00:08:08,960 --> 00:08:12,000 Speaker 1: in a country now where there is a militarized group 152 00:08:12,160 --> 00:08:16,160 Speaker 1: that has billions of dollars, that has no accountability, that 153 00:08:16,240 --> 00:08:18,360 Speaker 1: does not show its badge, that will not tell you 154 00:08:18,400 --> 00:08:22,080 Speaker 1: their name, that are plucking people off the street because 155 00:08:22,080 --> 00:08:24,520 Speaker 1: of the way they look. Like a year ago, this 156 00:08:24,600 --> 00:08:28,280 Speaker 1: would have been unprecedented. So if you're listening to this 157 00:08:28,400 --> 00:08:31,720 Speaker 1: like this is not okay, like none of this is okay, 158 00:08:31,840 --> 00:08:34,760 Speaker 1: we are in unprecedented moment in American life. And by 159 00:08:34,800 --> 00:08:42,280 Speaker 1: the way, good moral character begins at home. Josh Marshall 160 00:08:42,400 --> 00:08:46,080 Speaker 1: is the editor of Talking Points Memo. Josh Marshall, thank 161 00:08:46,080 --> 00:08:48,800 Speaker 1: you for coming on too fast politics. 162 00:08:48,920 --> 00:08:49,920 Speaker 3: I always love it here. 163 00:08:50,080 --> 00:08:52,240 Speaker 1: I was really mean, but it's because it's my birthday, 164 00:08:52,280 --> 00:08:58,000 Speaker 1: and also because Ice has arrested my friend's brother and 165 00:08:58,200 --> 00:09:02,080 Speaker 1: he is now waiting. He just disappeared and now they're 166 00:09:02,080 --> 00:09:04,880 Speaker 1: trying to figure out if he's going to be deported 167 00:09:04,960 --> 00:09:07,120 Speaker 1: to his native country or is he going to be 168 00:09:07,160 --> 00:09:08,480 Speaker 1: deported to Sudan? 169 00:09:08,800 --> 00:09:10,199 Speaker 3: Wow, that's heavy, so. 170 00:09:10,320 --> 00:09:14,080 Speaker 1: He can die there? That is people in DC, because 171 00:09:14,160 --> 00:09:17,880 Speaker 1: DC has become federalized. And that means now that all 172 00:09:18,040 --> 00:09:22,679 Speaker 1: of the really scary people who Donald Trump has made 173 00:09:22,800 --> 00:09:27,560 Speaker 1: his militia are targeting anyone who looks like they are 174 00:09:27,720 --> 00:09:28,280 Speaker 1: not white. 175 00:09:28,440 --> 00:09:31,760 Speaker 4: You know, the thing with the Sudan thing. I've watched 176 00:09:31,760 --> 00:09:35,520 Speaker 4: that closely. But my impression at least is that, you know, 177 00:09:35,559 --> 00:09:38,160 Speaker 4: they're deporting tons and tons of people, and my impression 178 00:09:38,200 --> 00:09:41,440 Speaker 4: at least is that it's a pretty small subset that 179 00:09:41,600 --> 00:09:44,720 Speaker 4: is being deported to Sudan. But I haven't had a 180 00:09:44,760 --> 00:09:49,400 Speaker 4: sense of, you know, what the basis of that subset is, right, Like, 181 00:09:49,600 --> 00:09:52,280 Speaker 4: is it who do they pick? I assume it's something 182 00:09:52,320 --> 00:09:55,079 Speaker 4: to do with obviously they're from countries where there may 183 00:09:55,080 --> 00:09:58,240 Speaker 4: be some legal impediment or something like that. 184 00:09:58,320 --> 00:10:01,480 Speaker 3: But I don't have a But that sounds horrific. 185 00:10:01,520 --> 00:10:03,920 Speaker 4: I mean, it sounds horrific to be deported to any 186 00:10:03,960 --> 00:10:06,000 Speaker 4: country that you've never been to before. 187 00:10:06,280 --> 00:10:09,280 Speaker 1: Yeah, But I also think and I want to talk 188 00:10:09,280 --> 00:10:12,679 Speaker 1: about this for a minute because I think it's so important. 189 00:10:12,960 --> 00:10:17,240 Speaker 1: Like we've seen these photos of these ice skies chasing 190 00:10:17,840 --> 00:10:21,840 Speaker 1: you know, the uber drivers, you know, the food delivery guys, 191 00:10:22,440 --> 00:10:25,880 Speaker 1: the deporting, the lady who worked at the nail salon. 192 00:10:26,559 --> 00:10:30,160 Speaker 1: You know, people been here twenty thirty, forty years. People 193 00:10:30,200 --> 00:10:32,720 Speaker 1: have been here as long as we have. Right, what's 194 00:10:32,760 --> 00:10:37,000 Speaker 1: the goal here? Because Americans have had the opportunities to 195 00:10:37,040 --> 00:10:39,160 Speaker 1: do these jobs and they have not wanted to. 196 00:10:39,640 --> 00:10:43,080 Speaker 4: Yeah, and it's not like when certainly when I was 197 00:10:43,240 --> 00:10:45,480 Speaker 4: much younger, and probably when you were two. You know, 198 00:10:45,520 --> 00:10:48,680 Speaker 4: there have been times where you know, and certainly during 199 00:10:48,720 --> 00:10:51,360 Speaker 4: you know, briefly during the Great Recession, where you have 200 00:10:51,640 --> 00:10:55,680 Speaker 4: unemployment approaches double digits. Right, we've basically been in a 201 00:10:55,720 --> 00:11:00,559 Speaker 4: full employment economy as economists define it for a number 202 00:11:00,559 --> 00:11:03,600 Speaker 4: of years, you know, under five percent. So kind of 203 00:11:03,640 --> 00:11:06,320 Speaker 4: by definition, there's nobody else who wants to do this 204 00:11:06,400 --> 00:11:09,000 Speaker 4: job because everybody's got a job. Now, we know, obviously 205 00:11:09,200 --> 00:11:11,200 Speaker 4: some people don't have a job, but when you talk 206 00:11:11,280 --> 00:11:14,800 Speaker 4: about this gets into the technical economics of it, there 207 00:11:14,840 --> 00:11:17,960 Speaker 4: are not other people who want this job who are 208 00:11:17,960 --> 00:11:18,560 Speaker 4: not doing it. 209 00:11:18,640 --> 00:11:21,520 Speaker 3: And when you talk about the goal, I think people. 210 00:11:21,240 --> 00:11:25,440 Speaker 4: For understandable reasons, don't like analogies or kind of blanched 211 00:11:25,520 --> 00:11:28,559 Speaker 4: analogies go back to the Third Reich and the imposition 212 00:11:28,720 --> 00:11:32,720 Speaker 4: of Hitler's dictatorship. One of the things that happened during it, 213 00:11:32,920 --> 00:11:35,320 Speaker 4: A political scientist have a name for this, I can't 214 00:11:35,360 --> 00:11:38,319 Speaker 4: remember it exactly, is that it was fairly disorganized in 215 00:11:38,360 --> 00:11:41,480 Speaker 4: a lot of ways, and Hitler had a system where 216 00:11:42,040 --> 00:11:45,920 Speaker 4: he kind of relied on people to you know, be 217 00:11:46,080 --> 00:11:48,960 Speaker 4: self starters and kind of do stuff on their own, 218 00:11:49,040 --> 00:11:51,920 Speaker 4: people in the state in governmental positions to sort of 219 00:11:51,920 --> 00:11:54,679 Speaker 4: compete with each other to achieve his aims. And there 220 00:11:54,720 --> 00:11:57,200 Speaker 4: is at least something like that going on with Trump 221 00:11:57,360 --> 00:11:58,960 Speaker 4: in the sense that when you say, you know, what 222 00:11:59,040 --> 00:12:01,440 Speaker 4: is the point here, well, well, clearly one of the 223 00:12:01,559 --> 00:12:05,400 Speaker 4: points here is that Stephen Miller like literally went over 224 00:12:05,440 --> 00:12:07,680 Speaker 4: to Ice, went over to DHS and said, I want 225 00:12:07,679 --> 00:12:10,199 Speaker 4: three thousand people a day taken into custody and put 226 00:12:10,240 --> 00:12:12,920 Speaker 4: into the system for deportation. Now, there's clearly a lot 227 00:12:12,920 --> 00:12:15,040 Speaker 4: of people in Ice who want to be nasty people, 228 00:12:15,240 --> 00:12:17,400 Speaker 4: and there's a lot of polalization of Ice, but that 229 00:12:17,440 --> 00:12:19,760 Speaker 4: clearly created a situation where you've got to go where 230 00:12:19,800 --> 00:12:22,080 Speaker 4: the numbers are, and the numbers are people who are 231 00:12:22,120 --> 00:12:24,880 Speaker 4: living law abiding lives and just kind of where you 232 00:12:25,000 --> 00:12:28,439 Speaker 4: think they are, because they're basically long standing residents in 233 00:12:28,440 --> 00:12:30,800 Speaker 4: the United States, and they show up for their immigration hearings, 234 00:12:30,800 --> 00:12:32,400 Speaker 4: and they show up for their job. And that's why 235 00:12:32,440 --> 00:12:34,520 Speaker 4: you have this thing of just you know, kind of 236 00:12:34,600 --> 00:12:37,559 Speaker 4: regular people kind of doing their jobs and I shows 237 00:12:37,640 --> 00:12:39,920 Speaker 4: up and grabs them. And you know, the woman who 238 00:12:40,040 --> 00:12:42,400 Speaker 4: worked at your nail slan, she's not there with like 239 00:12:42,400 --> 00:12:45,280 Speaker 4: an ak right now. She's going to fight them off 240 00:12:45,600 --> 00:12:49,400 Speaker 4: right when they come. These are by definition, fairly pliant people. 241 00:12:49,640 --> 00:12:51,920 Speaker 4: So that's part of it. But you know, you have 242 00:12:52,080 --> 00:12:55,240 Speaker 4: this mix of people who want to deport a lot 243 00:12:55,240 --> 00:13:00,520 Speaker 4: of people for sort of ideological and racial reasons. Also 244 00:13:00,600 --> 00:13:03,080 Speaker 4: have a lot of people who want to punish people. 245 00:13:03,240 --> 00:13:06,760 Speaker 4: They want to see those pictures of terrified families and everything. 246 00:13:06,920 --> 00:13:09,079 Speaker 4: So you have all these kind of things going together. 247 00:13:09,240 --> 00:13:12,000 Speaker 4: But you know, one of the things about the Trump 248 00:13:12,120 --> 00:13:17,040 Speaker 4: system is that you usually have that kind of you know, 249 00:13:17,160 --> 00:13:21,079 Speaker 4: chaos and disorganization, and some of that is that these 250 00:13:21,080 --> 00:13:24,040 Speaker 4: aren't terribly competent or often very smart people. 251 00:13:24,280 --> 00:13:26,280 Speaker 1: Are you saying they're not sending their. 252 00:13:26,160 --> 00:13:29,040 Speaker 4: Best, They are not sending their well, they are sending 253 00:13:29,120 --> 00:13:31,280 Speaker 4: their best, they don't their best are not that good. 254 00:13:31,559 --> 00:13:33,280 Speaker 3: I think, yes, it's the way to put it. 255 00:13:33,320 --> 00:13:36,439 Speaker 4: But another dimension of sort of trump Ism is they 256 00:13:36,440 --> 00:13:39,440 Speaker 4: don't like bureaucracy. They don't like people like, oh, you've 257 00:13:39,440 --> 00:13:41,360 Speaker 4: been here for thirty years, you know how to make 258 00:13:41,400 --> 00:13:43,440 Speaker 4: this system run. Get the fuck out of here. But 259 00:13:43,520 --> 00:13:46,200 Speaker 4: what that means is you have this system where it's 260 00:13:46,240 --> 00:13:48,520 Speaker 4: all kind of at the whim of the top guy. 261 00:13:48,920 --> 00:13:51,280 Speaker 4: So all these things kind of flow together and create 262 00:13:51,320 --> 00:13:54,760 Speaker 4: this system with a lot of sort of predatory behavior 263 00:13:55,280 --> 00:13:59,880 Speaker 4: and malicious behavior and not only hurting people because you 264 00:14:00,080 --> 00:14:02,120 Speaker 4: kind of can't not hurt people if you're trying to 265 00:14:02,200 --> 00:14:05,680 Speaker 4: arrest three thousand people a day. But because hurting people, 266 00:14:05,840 --> 00:14:08,880 Speaker 4: as our Fred Sewer says it, you know, is the point. 267 00:14:09,280 --> 00:14:10,120 Speaker 4: Cruelty is the point. 268 00:14:10,320 --> 00:14:14,600 Speaker 1: Let's talk about Donald Trump's triumphant meeting with all of 269 00:14:14,640 --> 00:14:17,520 Speaker 1: the heads of Europe. You know, you're in great shape 270 00:14:17,600 --> 00:14:20,920 Speaker 1: when all of the heads of Europe, every single one 271 00:14:21,320 --> 00:14:24,040 Speaker 1: comes to Washington. They don't have anything else to do 272 00:14:24,480 --> 00:14:29,000 Speaker 1: to try to get Trump not to be putin's stoode. 273 00:14:29,560 --> 00:14:32,240 Speaker 3: Yeah. Well it's sort of like you know, you know, 274 00:14:32,480 --> 00:14:35,320 Speaker 3: you know the shape you're in by who shows up 275 00:14:35,360 --> 00:14:36,160 Speaker 3: at your intervention. 276 00:14:36,720 --> 00:14:39,640 Speaker 4: Yes, yeah, right, you know you know, you caught your 277 00:14:39,680 --> 00:14:43,240 Speaker 4: first year college roommate is there and you're like, wow, 278 00:14:45,640 --> 00:14:46,760 Speaker 4: thread here real. 279 00:14:48,240 --> 00:14:51,600 Speaker 1: Yeah, no, I mean, you know, it's so funny because 280 00:14:51,600 --> 00:14:54,520 Speaker 1: it's like, I'm old enough to remember when Georgia Maloney 281 00:14:55,400 --> 00:15:00,760 Speaker 1: was the biggest outlier. Right, She's part of this neo 282 00:15:00,880 --> 00:15:03,720 Speaker 1: fascist Yeah, so one of the bad guys, right, one 283 00:15:03,720 --> 00:15:07,840 Speaker 1: of the bad guys coming to Washington to beg Donald 284 00:15:07,920 --> 00:15:11,320 Speaker 1: Trump not to get rolled by Vladimir Putin. 285 00:15:11,560 --> 00:15:13,880 Speaker 4: Yeah, you're too You're too far gone here, dude, it's 286 00:15:13,920 --> 00:15:15,560 Speaker 4: too much. It's more than I can accept. 287 00:15:15,800 --> 00:15:16,080 Speaker 3: Yeah. 288 00:15:16,160 --> 00:15:18,560 Speaker 1: I like the White House. There's a podcast I listen 289 00:15:18,640 --> 00:15:22,080 Speaker 1: to that is very access see and the woman on 290 00:15:22,120 --> 00:15:24,560 Speaker 1: it was like, wow, the White House didn't have huge 291 00:15:24,600 --> 00:15:28,200 Speaker 1: plans for the Alaska summit. Oh okay, they didn't. They 292 00:15:28,360 --> 00:15:31,600 Speaker 1: just oh okay, they just went to Alaska because they 293 00:15:31,720 --> 00:15:33,040 Speaker 1: just want to hang out with Putin. 294 00:15:33,280 --> 00:15:35,760 Speaker 4: Yeah, the whole thing is pretty you know. On the 295 00:15:35,760 --> 00:15:38,120 Speaker 4: other hand, there was this weird thing of like, you know, 296 00:15:38,280 --> 00:15:40,800 Speaker 4: they did it in Alaska where you can basically be 297 00:15:40,920 --> 00:15:43,280 Speaker 4: sure that if you're not on the plane on the 298 00:15:43,360 --> 00:15:46,239 Speaker 4: you know, the traveling White House press love Alaska. 299 00:15:46,320 --> 00:15:48,120 Speaker 3: But it's not a big media State, right. 300 00:15:48,200 --> 00:15:50,840 Speaker 4: I mean, it's certainly not on the Air Force base 301 00:15:51,080 --> 00:15:53,800 Speaker 4: where we have our sort of strategic bombers or whatever. 302 00:15:53,920 --> 00:15:56,440 Speaker 3: And they did it on what in the you know, 303 00:15:56,560 --> 00:15:57,080 Speaker 3: on the east. 304 00:15:56,960 --> 00:15:58,520 Speaker 4: Coast in the US is going to be you know, 305 00:15:58,640 --> 00:16:02,440 Speaker 4: kind of late Friday after the hottest August day of 306 00:16:02,480 --> 00:16:04,840 Speaker 4: the year kind of thing. So there's all kinds of 307 00:16:05,040 --> 00:16:07,800 Speaker 4: kind of weird like it that is kind of how 308 00:16:07,840 --> 00:16:10,240 Speaker 4: you'd kill a story. So I don't know quite what 309 00:16:10,280 --> 00:16:12,880 Speaker 4: that was about. But you know, Donald Trump doesn't do things. 310 00:16:12,960 --> 00:16:15,520 Speaker 4: He doesn't do things like lo fi, Like you're not 311 00:16:15,520 --> 00:16:17,440 Speaker 4: going to hear like thirty years from like oh yeah, 312 00:16:17,440 --> 00:16:19,360 Speaker 4: he used to go over to soup kitchen and like 313 00:16:19,400 --> 00:16:20,000 Speaker 4: serve stuff. 314 00:16:20,000 --> 00:16:20,960 Speaker 3: But no, he didn't tell me. 315 00:16:21,240 --> 00:16:22,240 Speaker 1: You'd never get it. 316 00:16:22,480 --> 00:16:24,880 Speaker 4: He did that every Thursday evening, but he never you know, 317 00:16:25,160 --> 00:16:25,760 Speaker 4: step out. 318 00:16:27,280 --> 00:16:29,280 Speaker 1: Yeah, yeah, you're never going to find out he was 319 00:16:29,440 --> 00:16:32,560 Speaker 1: serving homeless people in soup kitchen. But I want you 320 00:16:32,680 --> 00:16:35,120 Speaker 1: to talk about this for a second, because I'm very 321 00:16:35,120 --> 00:16:37,280 Speaker 1: suspicious about this Alaska summit. 322 00:16:37,400 --> 00:16:38,280 Speaker 3: I think as you should be. 323 00:16:38,480 --> 00:16:42,320 Speaker 1: Yeah, yeah, and I think that this was completely about 324 00:16:42,320 --> 00:16:45,880 Speaker 1: trying to kill the Epstein story and not about anything else, right, 325 00:16:46,280 --> 00:16:48,160 Speaker 1: Like this whole idea is like, and I'm going to 326 00:16:48,200 --> 00:16:50,920 Speaker 1: win a Nobel Peace Prize, and so I'm going to 327 00:16:50,960 --> 00:16:54,080 Speaker 1: have all of these countries, these leaders from countries that 328 00:16:54,120 --> 00:16:56,360 Speaker 1: are warring, and they're going to come in. And the 329 00:16:56,480 --> 00:17:00,280 Speaker 1: timing of this is just when the Magabas is fighting 330 00:17:00,280 --> 00:17:03,720 Speaker 1: about Ebstein. But that's probably just a coincidence. I mean, 331 00:17:03,800 --> 00:17:06,199 Speaker 1: if you think about Trump, right, he's sitting there and 332 00:17:06,240 --> 00:17:09,879 Speaker 1: he's going like it's August, which is the deadest time. 333 00:17:10,160 --> 00:17:12,600 Speaker 1: So the House is out, the Senate is out, I 334 00:17:12,640 --> 00:17:16,320 Speaker 1: can't try to do anything insane legislative way. I can 335 00:17:16,600 --> 00:17:19,840 Speaker 1: send the National Guard into Washington, DC, which is painful 336 00:17:19,960 --> 00:17:23,960 Speaker 1: and horrible and fun, but then there's nothing else to distract. 337 00:17:23,960 --> 00:17:26,399 Speaker 1: So you could see where this would just work. 338 00:17:26,720 --> 00:17:27,840 Speaker 3: It's definitely possible. 339 00:17:27,840 --> 00:17:30,240 Speaker 4: I mean, I I have lost it's so easy to 340 00:17:30,240 --> 00:17:33,960 Speaker 4: lose track of the forward pace of time and when 341 00:17:34,280 --> 00:17:35,719 Speaker 4: happened or when another thing happened. 342 00:17:35,920 --> 00:17:38,080 Speaker 3: But it was certainly my impression. It wasn't like we 343 00:17:38,119 --> 00:17:38,800 Speaker 3: knew in June. 344 00:17:38,800 --> 00:17:42,280 Speaker 4: Oh yeah, there's the there's the August summit, right, they 345 00:17:42,320 --> 00:17:45,120 Speaker 4: just announced that on a pretty short notice. The thing 346 00:17:45,200 --> 00:17:49,800 Speaker 4: is with him is, as we know, these publicity events, 347 00:17:50,000 --> 00:17:52,320 Speaker 4: it's always hard to know, like why did he do this, 348 00:17:52,640 --> 00:17:54,399 Speaker 4: you know, kind of publicity event. 349 00:17:54,480 --> 00:17:56,719 Speaker 3: It's sort of like, why is a crack addict smoking 350 00:17:56,760 --> 00:17:57,440 Speaker 3: crack this time? 351 00:17:57,480 --> 00:18:00,200 Speaker 1: Because they're yeah, yeah, yeah, that. 352 00:18:00,200 --> 00:18:03,320 Speaker 4: Is really the primary reason. And he's addicted to publicity. 353 00:18:03,520 --> 00:18:06,800 Speaker 4: He's addicted to chaotic and kinetic moments where he is 354 00:18:06,800 --> 00:18:10,159 Speaker 4: the center of attention and his actions have everybody is 355 00:18:10,240 --> 00:18:12,760 Speaker 4: reacting to his actions. So some of it is just that. 356 00:18:13,119 --> 00:18:16,560 Speaker 4: But yeah, I mean they're trying to and to a 357 00:18:16,560 --> 00:18:20,000 Speaker 4: certain extent, it seems like they've maybe kind of achieved 358 00:18:20,040 --> 00:18:22,080 Speaker 4: it with at least moment, at least for now at 359 00:18:22,119 --> 00:18:24,760 Speaker 4: the epscene stuff. It's not you know, there's not she 360 00:18:24,800 --> 00:18:28,640 Speaker 4: hasn't been moved from one prison to another recently, or. 361 00:18:29,080 --> 00:18:31,720 Speaker 1: I mean she's she already got to the better prison. 362 00:18:31,840 --> 00:18:34,600 Speaker 4: But yes, yeah, well she I mean I assume there's 363 00:18:34,640 --> 00:18:38,560 Speaker 4: you could be transferred to like Tahiti, you know, I mean, 364 00:18:38,560 --> 00:18:39,960 Speaker 4: you can the sky's the limit. 365 00:18:40,040 --> 00:18:41,160 Speaker 3: But yeah, it's hard to tell. 366 00:18:41,200 --> 00:18:43,320 Speaker 4: But again, it's sort of like, why is this crack 367 00:18:43,400 --> 00:18:46,240 Speaker 4: addict smoking crack because he's addicted to crack? 368 00:18:46,600 --> 00:18:49,600 Speaker 1: Yeah, I think that's right. I just think like all 369 00:18:49,640 --> 00:18:52,560 Speaker 1: of this timing is kind of suspicious. So Trump said 370 00:18:52,560 --> 00:18:55,320 Speaker 1: that there's some security guarantees. I mean, this is all 371 00:18:55,400 --> 00:18:58,400 Speaker 1: ridiculous because we know what Putin's going to do. Putin's 372 00:18:58,400 --> 00:19:01,439 Speaker 1: going to run right through this. And I mean, has 373 00:19:01,480 --> 00:19:04,080 Speaker 1: he even stopped bombing Ukraine? He's still bombing Ukraine. 374 00:19:04,280 --> 00:19:07,360 Speaker 4: No, I don't, there's no there's no stop in. I mean, 375 00:19:07,400 --> 00:19:09,960 Speaker 4: everything has continued, and this is I think, what is 376 00:19:10,040 --> 00:19:13,000 Speaker 4: I mean the irony of I was I think I 377 00:19:13,080 --> 00:19:15,720 Speaker 4: posted maybe on Blue Sky about you know, the sort 378 00:19:15,760 --> 00:19:19,159 Speaker 4: of the latest addition of how much gold shlock he 379 00:19:19,280 --> 00:19:21,240 Speaker 4: has in the in the in the you know, in 380 00:19:21,280 --> 00:19:23,479 Speaker 4: the Oval office. But it was actually a picture of 381 00:19:23,520 --> 00:19:26,720 Speaker 4: his meeting with Zelenski, and I was looking at it 382 00:19:26,760 --> 00:19:29,560 Speaker 4: and thinking, like, I hate to say it, but like 383 00:19:29,880 --> 00:19:32,520 Speaker 4: this went better than the last meeting with Zelenski at least, 384 00:19:32,800 --> 00:19:34,760 Speaker 4: I mean, you know, they're kind of buds now sort 385 00:19:34,800 --> 00:19:36,280 Speaker 4: of maybe, you know, or at least at least to the 386 00:19:36,320 --> 00:19:38,520 Speaker 4: extent he's not humiliating him. And the reason that that 387 00:19:38,760 --> 00:19:43,320 Speaker 4: happened is that Trump clearly did get irritated that when 388 00:19:43,359 --> 00:19:47,920 Speaker 4: Trump made clear that at least stopping the fighting, if 389 00:19:48,000 --> 00:19:51,399 Speaker 4: not bringing a treaty or a truce or something was 390 00:19:51,480 --> 00:19:53,639 Speaker 4: his goal. He felt he needed that, he wanted it 391 00:19:53,800 --> 00:19:56,399 Speaker 4: that Pudin responded by upping the ante. It's not like 392 00:19:56,480 --> 00:19:58,959 Speaker 4: he'd been holding back but doing more. You know, the 393 00:19:59,000 --> 00:20:01,080 Speaker 4: real action is over there in the east where you're 394 00:20:01,080 --> 00:20:03,920 Speaker 4: trying to take territory. But they also do things with 395 00:20:04,040 --> 00:20:05,960 Speaker 4: They just throw a lot of missiles at Kiev or 396 00:20:05,960 --> 00:20:07,920 Speaker 4: something like that, and so he's upping the anti kind 397 00:20:07,920 --> 00:20:10,520 Speaker 4: of humiliating Trump, and that whole thing. 398 00:20:10,440 --> 00:20:11,639 Speaker 3: Just remains, you know. 399 00:20:11,880 --> 00:20:13,960 Speaker 4: I was thinking last night that I think Iowa was 400 00:20:14,000 --> 00:20:16,639 Speaker 4: one of the first people back in twenty sixteen to 401 00:20:16,760 --> 00:20:20,479 Speaker 4: write an article basically saying there's something weird going on 402 00:20:20,600 --> 00:20:22,800 Speaker 4: with this guy and Russia. I think it was in 403 00:20:22,880 --> 00:20:26,160 Speaker 4: July twenty sixteen, and I didn't really have a sense 404 00:20:26,200 --> 00:20:28,840 Speaker 4: of I didn't say and because I didn't know what 405 00:20:28,920 --> 00:20:31,640 Speaker 4: it was. Most of the big stuff we didn't know then. 406 00:20:32,000 --> 00:20:35,680 Speaker 4: But they're just all these connections. They're just weird, weird, weird, weird. 407 00:20:35,720 --> 00:20:37,640 Speaker 4: You don't have like, oh, how many you know, how 408 00:20:37,640 --> 00:20:41,159 Speaker 4: many connections did Eisenhower have da Khrushchev or you know, 409 00:20:41,280 --> 00:20:45,280 Speaker 4: it was. It was so strange, and we've learned a 410 00:20:45,280 --> 00:20:48,480 Speaker 4: lot since then. It's still what the hold he has 411 00:20:48,560 --> 00:20:52,439 Speaker 4: over Trump is still laffling, not clear to me and 412 00:20:52,560 --> 00:20:55,879 Speaker 4: baffling at many levels. But I don't know if you 413 00:20:56,240 --> 00:20:58,200 Speaker 4: or maybe your listeners saw there was a hot mic 414 00:20:58,280 --> 00:21:01,960 Speaker 4: moment where Trump said in in the meetings yesterday, I 415 00:21:02,000 --> 00:21:04,520 Speaker 4: think it was Emmanuel Macron, but it's one of the 416 00:21:04,560 --> 00:21:06,960 Speaker 4: European leaders. You're like, hey, I think he really wants 417 00:21:07,040 --> 00:21:09,439 Speaker 4: to make a deal with me. It like sounds crazy, 418 00:21:09,440 --> 00:21:11,640 Speaker 4: but I really feel it. And it was just like, dude, 419 00:21:11,680 --> 00:21:13,399 Speaker 4: what is your problem? I mean, like, it's like the 420 00:21:13,480 --> 00:21:17,040 Speaker 4: guy who buys a lap dance and things like the 421 00:21:17,080 --> 00:21:18,199 Speaker 4: stripper's in love with them. 422 00:21:18,280 --> 00:21:20,240 Speaker 3: It's like, what's going on with it? 423 00:21:20,320 --> 00:21:22,480 Speaker 4: For all the things we know and all of the 424 00:21:22,920 --> 00:21:26,280 Speaker 4: corrupt things, I think one day we will find out 425 00:21:26,600 --> 00:21:32,399 Speaker 4: we're going on there is a supplicant, submissive thing he 426 00:21:32,560 --> 00:21:35,080 Speaker 4: has with this guy that all the other stuff may 427 00:21:35,119 --> 00:21:35,560 Speaker 4: be true. 428 00:21:35,640 --> 00:21:38,119 Speaker 3: It still would completely explain that. 429 00:21:38,680 --> 00:21:40,919 Speaker 1: It does not make a ton of sense. 430 00:21:40,680 --> 00:21:42,280 Speaker 3: Right, It really doesn't. 431 00:21:42,480 --> 00:21:44,120 Speaker 4: There are a lot of things that sort of give 432 00:21:44,160 --> 00:21:47,320 Speaker 4: you an idea why it might be kind of like that, 433 00:21:47,359 --> 00:21:50,359 Speaker 4: but none of them quite get you to the just 434 00:21:50,760 --> 00:21:53,760 Speaker 4: you know, sometimes someone's got a hold on someone that 435 00:21:53,840 --> 00:21:56,120 Speaker 4: goes beyond any literal thing. 436 00:21:56,280 --> 00:21:58,000 Speaker 3: It's just the other person kind. 437 00:21:57,800 --> 00:22:00,600 Speaker 4: Of goes weak in the knees and you know, they 438 00:22:00,760 --> 00:22:02,720 Speaker 4: roll over on their back and need to be belly 439 00:22:02,800 --> 00:22:03,560 Speaker 4: rubbed or something. 440 00:22:03,840 --> 00:22:07,000 Speaker 1: Yes, with a fascist dictator, that's totally normal. 441 00:22:07,160 --> 00:22:07,480 Speaker 2: Yeah. 442 00:22:07,640 --> 00:22:09,800 Speaker 1: The thing I was so struck by was like, as 443 00:22:09,880 --> 00:22:13,880 Speaker 1: the child of an alcoholic, that you sometimes do all 444 00:22:13,960 --> 00:22:17,840 Speaker 1: this stuff to try to keep your alcoholic from like 445 00:22:18,040 --> 00:22:21,879 Speaker 1: completely killing themselves and the rest of you. And this 446 00:22:22,160 --> 00:22:25,359 Speaker 1: feels very much like that. You know, obviously it's not 447 00:22:25,400 --> 00:22:27,919 Speaker 1: an alcoholic because he doesn't drink, but like, we have 448 00:22:28,160 --> 00:22:32,320 Speaker 1: all of Europe coming to America, coming to Washington, DC 449 00:22:32,960 --> 00:22:36,320 Speaker 1: to make sure that Trump doesn't do something which puts 450 00:22:36,320 --> 00:22:40,920 Speaker 1: the entire continent in jeopardy. This is our president. Yeah, 451 00:22:41,000 --> 00:22:45,480 Speaker 1: I mean, like these people can protect their constituents from him, 452 00:22:45,800 --> 00:22:47,320 Speaker 1: but who protects us? 453 00:22:47,640 --> 00:22:48,080 Speaker 3: No one? 454 00:22:48,600 --> 00:22:51,399 Speaker 4: Yeah, yeah, no, that is true. It's funny. I was 455 00:22:51,400 --> 00:22:53,440 Speaker 4: just writing a post about a kind of a related 456 00:22:53,480 --> 00:22:57,080 Speaker 4: issue that moves us in a slightly different direction, but 457 00:22:57,240 --> 00:23:03,119 Speaker 4: the basically the importance of the state governments. Yeah, because Trump, 458 00:23:03,480 --> 00:23:06,680 Speaker 4: because he has the executive branch and Congress, and because 459 00:23:06,720 --> 00:23:10,320 Speaker 4: the courts, the Supreme Court has chosen to interpret the 460 00:23:10,359 --> 00:23:12,439 Speaker 4: law and the Constitution in such a way that Trump is, 461 00:23:12,480 --> 00:23:15,560 Speaker 4: within the federal government basically an absolute monarch. 462 00:23:15,720 --> 00:23:17,920 Speaker 3: You can do anything if anybody. 463 00:23:18,080 --> 00:23:20,399 Speaker 4: You know, he's like Anthony in that, you know, sending 464 00:23:20,400 --> 00:23:23,600 Speaker 4: people to the cornfield right in the federal government. But 465 00:23:23,680 --> 00:23:26,640 Speaker 4: we have this quirk of the American political system, which 466 00:23:26,680 --> 00:23:29,600 Speaker 4: is the states which have their separate sovereignty that are 467 00:23:30,560 --> 00:23:33,280 Speaker 4: subordinate to the federal government but separate from it. And 468 00:23:33,359 --> 00:23:35,879 Speaker 4: for us who live in blue states, that is a 469 00:23:36,480 --> 00:23:40,000 Speaker 4: powerful bundle of sovereign power that I think we are 470 00:23:40,040 --> 00:23:44,400 Speaker 4: really we need the state leaders to understand that we're 471 00:23:44,400 --> 00:23:44,639 Speaker 4: going to. 472 00:23:44,640 --> 00:23:48,240 Speaker 1: Be fucked if the state leaders don't stand up for us. 473 00:23:48,320 --> 00:23:54,320 Speaker 1: I mean we are, We're already so fucked. But like Kathy, yeah, yes, 474 00:23:54,520 --> 00:23:57,440 Speaker 1: Kathy Hokle, if you're listening, like this is it man, 475 00:23:57,720 --> 00:24:01,000 Speaker 1: I mean, you know, Gavin Newsome, that's it, because he 476 00:24:01,280 --> 00:24:05,320 Speaker 1: is so ambitious that he will, you know, run over 477 00:24:05,400 --> 00:24:08,280 Speaker 1: his granny for a chance to run for president. And 478 00:24:08,440 --> 00:24:12,760 Speaker 1: thank god, lucky for the people of California, because what's 479 00:24:12,760 --> 00:24:15,199 Speaker 1: happening in DC wouldn't be able to you know, they 480 00:24:15,240 --> 00:24:17,960 Speaker 1: wouldn't be able to do it in quite the same way. 481 00:24:18,119 --> 00:24:20,520 Speaker 1: But I do think it is important to remember too, 482 00:24:20,560 --> 00:24:23,800 Speaker 1: what's happening in DC is happening in DC for a reason, 483 00:24:23,960 --> 00:24:28,640 Speaker 1: right A, because cinema and mansion suck, and so they 484 00:24:28,720 --> 00:24:32,560 Speaker 1: refuse to make the mistake, and so the federal government 485 00:24:32,600 --> 00:24:34,240 Speaker 1: has a lot of power there. But the other reason 486 00:24:34,359 --> 00:24:36,399 Speaker 1: is because a lot of journalists and a lot of 487 00:24:36,480 --> 00:24:40,439 Speaker 1: legislators and a lot of people who could be brave 488 00:24:41,119 --> 00:24:45,240 Speaker 1: live in that city. Sorry, that's cool, Josh Marshall, thank you, 489 00:24:45,320 --> 00:24:47,320 Speaker 1: thank you, thanks for joining. 490 00:24:47,240 --> 00:24:50,240 Speaker 3: Thanks for having me as usual. I love coming on. 491 00:24:52,600 --> 00:24:57,200 Speaker 1: Scott Lindseicolm is the vice president of General Economics at 492 00:24:57,240 --> 00:25:02,879 Speaker 1: the right leaning Tato Institute. Dude, welcome to Fast Politics, Scott, Oh, 493 00:25:02,920 --> 00:25:06,200 Speaker 1: thanks for having Trade wars are good and easy to win. 494 00:25:06,680 --> 00:25:09,200 Speaker 1: I was told by Donald J. Trump in the first 495 00:25:09,200 --> 00:25:13,000 Speaker 1: season of Trump Destroys America. Are we winning well? 496 00:25:13,119 --> 00:25:15,400 Speaker 3: Depends on how you measure victory. 497 00:25:15,440 --> 00:25:18,480 Speaker 5: I think if what you want is a giant tariff 498 00:25:18,480 --> 00:25:23,680 Speaker 5: wall around the country and a really amazing vehicle for 499 00:25:24,040 --> 00:25:30,560 Speaker 5: handing out political favors and boosting political power generally, then 500 00:25:30,960 --> 00:25:33,680 Speaker 5: Trump two point zero has been a massive victory and 501 00:25:34,359 --> 00:25:40,399 Speaker 5: surprisingly has resulted in much less foreign retaliation than last 502 00:25:40,400 --> 00:25:44,640 Speaker 5: time around. So in terms of trade wars, there's less conflict. 503 00:25:44,880 --> 00:25:48,720 Speaker 5: You know, China and to a lesser extent, Canada have retaliated, 504 00:25:48,760 --> 00:25:50,320 Speaker 5: but nobody else has smartly. 505 00:25:50,640 --> 00:25:55,479 Speaker 3: From the economics perspective, so if you like tariffs. 506 00:25:55,240 --> 00:25:59,680 Speaker 5: And you think that other countries not retaliating will somehow 507 00:25:59,680 --> 00:26:02,360 Speaker 5: boost your exports because you're a mercantilist. 508 00:26:02,000 --> 00:26:02,680 Speaker 3: Then you've won. 509 00:26:03,000 --> 00:26:07,960 Speaker 5: But from an economics perspective and the political perspective. 510 00:26:07,520 --> 00:26:09,960 Speaker 3: We at CATO are anti corporatist. 511 00:26:10,040 --> 00:26:13,600 Speaker 5: We're not big into government croniism and corruption and all 512 00:26:13,640 --> 00:26:14,360 Speaker 5: that jazz. 513 00:26:14,600 --> 00:26:16,240 Speaker 1: You're not big into corruption. 514 00:26:16,760 --> 00:26:22,320 Speaker 5: No, No, like a limited government, enumerated powers, and prefer 515 00:26:23,080 --> 00:26:27,040 Speaker 5: corporations to focus on their actual business and not lobbying 516 00:26:27,119 --> 00:26:28,320 Speaker 5: the government for favors. 517 00:26:28,920 --> 00:26:30,199 Speaker 3: If you believe in that stuff. 518 00:26:30,240 --> 00:26:32,840 Speaker 5: The tariffs are proving to be just as problematic as 519 00:26:33,080 --> 00:26:35,360 Speaker 5: the dreaded economists predicted. 520 00:26:35,480 --> 00:26:37,880 Speaker 3: The fact is we now have an. 521 00:26:37,560 --> 00:26:42,120 Speaker 5: Effective tariff rate of well above ten percent, up from 522 00:26:42,119 --> 00:26:45,560 Speaker 5: a rate of maybe two to three percent pre Trump. 523 00:26:45,560 --> 00:26:48,560 Speaker 5: Two point zero so back just back in January. It's 524 00:26:48,560 --> 00:26:52,359 Speaker 5: scheduled to go even higher, probably fifteen percent by the 525 00:26:52,440 --> 00:26:55,960 Speaker 5: end of the year. Because there's all sorts of loopholes 526 00:26:56,040 --> 00:27:00,760 Speaker 5: and exemptions and cases, investigations and others. And that gets 527 00:27:00,800 --> 00:27:03,920 Speaker 5: to the second point. We have massive amounts of uncertainty 528 00:27:03,960 --> 00:27:08,880 Speaker 5: and complexity that are being just injected into our trade 529 00:27:08,920 --> 00:27:12,280 Speaker 5: bloodstream as we speak. That adds cost. So you're not 530 00:27:12,320 --> 00:27:14,919 Speaker 5: only taxing people to the tune of hundreds of billions 531 00:27:14,920 --> 00:27:18,240 Speaker 5: of dollars a year, mainly American companies and consumers going 532 00:27:18,320 --> 00:27:21,160 Speaker 5: to pay that, but you're also imposing these really weird 533 00:27:21,240 --> 00:27:28,159 Speaker 5: and visible taxes for the uncertainty and complexity and importers, customs, professionals, businesses, 534 00:27:28,240 --> 00:27:29,840 Speaker 5: institutional investors. 535 00:27:29,359 --> 00:27:30,920 Speaker 3: Are all like, I don't know what they have to do. 536 00:27:31,119 --> 00:27:33,840 Speaker 1: I want you to first talk about this because this, 537 00:27:33,920 --> 00:27:36,760 Speaker 1: I think is really interesting, which is there has to 538 00:27:36,840 --> 00:27:39,520 Speaker 1: be a sort of layer of people who put these 539 00:27:39,560 --> 00:27:43,399 Speaker 1: tariffs in, who collect them, who make sure that the 540 00:27:43,440 --> 00:27:46,400 Speaker 1: goods are paid. You know, it's no longer are these 541 00:27:46,520 --> 00:27:50,200 Speaker 1: goods drugs or something illegal. It's now like, are these 542 00:27:50,240 --> 00:27:53,520 Speaker 1: goods paying the rate of tariff that they're supposed to do? 543 00:27:54,000 --> 00:27:56,479 Speaker 5: Yeah, And I think the way to think about it 544 00:27:56,560 --> 00:28:00,280 Speaker 5: is pre Trump and now I think it's better to 545 00:28:00,320 --> 00:28:03,399 Speaker 5: go back to twenty sixteen because that's probably the last 546 00:28:03,400 --> 00:28:06,719 Speaker 5: time twenty seventeen, last time we had a really relatively 547 00:28:06,880 --> 00:28:10,119 Speaker 5: clean US tariff system because then, of course Trump in 548 00:28:10,160 --> 00:28:12,840 Speaker 5: his first term had steel and aluminum tariffs in China 549 00:28:12,840 --> 00:28:14,000 Speaker 5: tariffs and some other stuff. 550 00:28:14,280 --> 00:28:17,359 Speaker 3: But pre Trump one point zero, you basically, if you 551 00:28:17,400 --> 00:28:20,399 Speaker 3: were a business, when you were importing a product, you 552 00:28:20,600 --> 00:28:23,959 Speaker 3: only had to worry about where it comes from and 553 00:28:24,000 --> 00:28:27,800 Speaker 3: what the tariff rate is. And where the tariff rate 554 00:28:27,920 --> 00:28:32,240 Speaker 3: is was pretty easy for the vast majority of countries. 555 00:28:32,320 --> 00:28:35,000 Speaker 3: The only exceptions were some free trade agreement partners and 556 00:28:35,080 --> 00:28:38,400 Speaker 3: some special preference programs we called, so this was a 557 00:28:38,480 --> 00:28:42,200 Speaker 3: very easy process. Tariffs were also generally low, like I said, 558 00:28:42,240 --> 00:28:44,200 Speaker 3: you know, around two percent, so a lot of times 559 00:28:44,280 --> 00:28:48,320 Speaker 3: you weren't even paying a tariff. You just were importing, 560 00:28:48,600 --> 00:28:51,600 Speaker 3: filing your paperwork, and then you've add on tax. It 561 00:28:51,640 --> 00:28:53,920 Speaker 3: was a little bit, right, It was super easy. 562 00:28:54,040 --> 00:28:56,920 Speaker 5: And we had this thing called the Deminimus exception, which 563 00:28:57,040 --> 00:28:59,960 Speaker 5: for Shian Timu and others meant you could order dire 564 00:29:00,000 --> 00:29:04,400 Speaker 5: directly from a different country, not just China, anywhere in 565 00:29:04,400 --> 00:29:06,520 Speaker 5: the world and it could be shipped to you directly 566 00:29:06,560 --> 00:29:07,160 Speaker 5: and you could. 567 00:29:06,960 --> 00:29:08,840 Speaker 3: Avoid all of those formalities. 568 00:29:08,920 --> 00:29:09,160 Speaker 2: Right. 569 00:29:09,240 --> 00:29:12,760 Speaker 5: So Trump comes along and starts messing with this in 570 00:29:12,800 --> 00:29:18,840 Speaker 5: twenty seventeen twenty eighteen, suddenly Chinese goods got a tariff, 571 00:29:18,920 --> 00:29:21,600 Speaker 5: but maybe they were subject to an exclusion, and there 572 00:29:21,600 --> 00:29:25,040 Speaker 5: were all these processes and stuff for that. Steel and 573 00:29:25,160 --> 00:29:30,680 Speaker 5: aluminum got tariffs, but then there were agreements that carved 574 00:29:30,680 --> 00:29:32,840 Speaker 5: some of that out. You could lobby the government for 575 00:29:32,880 --> 00:29:36,720 Speaker 5: your own exclusion. But then they extended the terrace to 576 00:29:36,880 --> 00:29:39,520 Speaker 5: downstream steel and a limb stuff made with steel in 577 00:29:39,560 --> 00:29:42,280 Speaker 5: a limb, what they call derivatives. Tons of litigation as well, 578 00:29:42,680 --> 00:29:47,640 Speaker 5: so that began the complexity stuff. Now everything's been turned 579 00:29:47,720 --> 00:29:51,760 Speaker 5: up to eleven. Now through the reciprocal tariff regime, you 580 00:29:51,880 --> 00:29:57,200 Speaker 5: have different tariff rates for dozens of different countries that 581 00:29:57,440 --> 00:30:00,720 Speaker 5: are not replacing the old tear tariffs we had. They're 582 00:30:00,720 --> 00:30:02,760 Speaker 5: applying on top of those. So you need to figure 583 00:30:02,760 --> 00:30:04,959 Speaker 5: out what was the old tariff. Okay, what's the new tariff, 584 00:30:05,040 --> 00:30:07,920 Speaker 5: what's the country. But that's just the starting point. Then 585 00:30:08,000 --> 00:30:11,200 Speaker 5: you have to figure out is there any Chinese content 586 00:30:11,280 --> 00:30:14,120 Speaker 5: in it? Because there are different rules for Chinese content 587 00:30:14,120 --> 00:30:16,560 Speaker 5: what they call transhipment. Does it have any steel and 588 00:30:16,640 --> 00:30:20,120 Speaker 5: aluminum in it? Because now we're taxing the content of 589 00:30:20,160 --> 00:30:24,280 Speaker 5: those products of course there are random exemptions and exclusions 590 00:30:24,320 --> 00:30:27,480 Speaker 5: as well, but this time around they're not transparent. You 591 00:30:27,480 --> 00:30:29,040 Speaker 5: could used to be able to go to a website 592 00:30:29,080 --> 00:30:32,120 Speaker 5: finding exclusion. Now it's again much harder. And that's just 593 00:30:32,320 --> 00:30:36,040 Speaker 5: one set of tariffs. There's all these other ones that 594 00:30:36,120 --> 00:30:39,400 Speaker 5: have started. Now we have automotive goods subject of tariffs, 595 00:30:39,400 --> 00:30:44,080 Speaker 5: copper subject of teriffs, investigations on semiconductors and consumer electronics, 596 00:30:44,120 --> 00:30:45,800 Speaker 5: and wood products on minerals. 597 00:30:45,840 --> 00:30:47,240 Speaker 3: I mean, you can go on and on and on. 598 00:30:47,520 --> 00:30:51,360 Speaker 5: So it has turned the US tariff regime from a 599 00:30:51,400 --> 00:30:55,360 Speaker 5: relatively simple and transparent one that basically anybody and his 600 00:30:55,440 --> 00:30:59,960 Speaker 5: uncle could operate to something that is its own tariff 601 00:31:00,320 --> 00:31:05,719 Speaker 5: right because the flexities attacks on smaller businesses and a 602 00:31:05,760 --> 00:31:08,960 Speaker 5: subsidy to big business. You know, GM and FOD they 603 00:31:09,000 --> 00:31:13,360 Speaker 5: have an Apple. They have like entire divisions of logistics 604 00:31:13,360 --> 00:31:16,360 Speaker 5: pros and supply chain pros. People who are just you know, 605 00:31:16,480 --> 00:31:19,479 Speaker 5: starting a small business importing a few products, or like 606 00:31:19,560 --> 00:31:21,920 Speaker 5: running in like an auto repair shop and they just 607 00:31:22,000 --> 00:31:24,240 Speaker 5: need a couple of parts. All of a sudden, they're 608 00:31:24,240 --> 00:31:28,480 Speaker 5: getting bills from DHL for one hundred, two hundred and 609 00:31:28,520 --> 00:31:31,960 Speaker 5: fifty bus dollars. They're getting tariff bills from customs in 610 00:31:32,040 --> 00:31:35,040 Speaker 5: the tens of thousands of dollars. And by the way, 611 00:31:35,400 --> 00:31:37,320 Speaker 5: if they get any of this role, let's say they 612 00:31:37,320 --> 00:31:40,800 Speaker 5: get the country of origin wrong or the steel content wrong, 613 00:31:41,280 --> 00:31:43,920 Speaker 5: all of a sudden, they could get fined by customs, 614 00:31:43,960 --> 00:31:48,400 Speaker 5: investigated by DOJ because they just lacked the ability to 615 00:31:48,520 --> 00:31:49,800 Speaker 5: figure all this out. 616 00:31:49,960 --> 00:31:52,040 Speaker 1: I want to do like a lightning around with you 617 00:31:52,080 --> 00:31:54,719 Speaker 1: here because this is complicated, but I also think there 618 00:31:54,760 --> 00:31:57,320 Speaker 1: are some really important points here. So the first thing 619 00:31:57,360 --> 00:32:00,400 Speaker 1: I want you to just true or falls and explained 620 00:32:00,400 --> 00:32:04,400 Speaker 1: it to me. Is this our tariff's attax a corporate tax. Yeah, 621 00:32:04,440 --> 00:32:08,320 Speaker 1: so there are a tax on imports. The big question 622 00:32:08,600 --> 00:32:10,680 Speaker 1: is who pays the tax. 623 00:32:11,240 --> 00:32:16,320 Speaker 5: So legally most import taxes, most tariffs are paid by 624 00:32:16,360 --> 00:32:19,440 Speaker 5: American importers. So US business is located in the United 625 00:32:19,440 --> 00:32:23,360 Speaker 5: States importing from somebody overseas, they legally have to pay 626 00:32:23,360 --> 00:32:23,840 Speaker 5: the tariff. 627 00:32:23,880 --> 00:32:27,200 Speaker 3: There's one exception. Will avoid that. The bigger question is 628 00:32:27,240 --> 00:32:28,640 Speaker 3: the economic incidents. 629 00:32:28,760 --> 00:32:31,520 Speaker 5: It could be foreign exporters they could lower their prices 630 00:32:31,880 --> 00:32:35,320 Speaker 5: kind of eat the tariff. American companies and consumers. Trump 631 00:32:35,320 --> 00:32:38,480 Speaker 5: one point zero, almost one hundred percent of the tariffs 632 00:32:38,520 --> 00:32:41,520 Speaker 5: were being paid by American companies and consumers. They were 633 00:32:41,600 --> 00:32:45,360 Speaker 5: kind of splitting it. Company gets the product, maybe passes 634 00:32:45,400 --> 00:32:48,880 Speaker 5: on the cost via higher price, maybe maybe doesn't. This 635 00:32:49,040 --> 00:32:51,720 Speaker 5: time around, foreign explorers are paying a little bit more, 636 00:32:51,760 --> 00:32:54,480 Speaker 5: but it's still like ten percent max. And then the 637 00:32:54,520 --> 00:32:58,160 Speaker 5: rest is being split among companies and consumers. So far 638 00:32:58,360 --> 00:32:59,960 Speaker 5: with companies paying more like a corp. 639 00:33:00,840 --> 00:33:03,920 Speaker 1: I want you to talk about the washing machines. So 640 00:33:04,040 --> 00:33:07,440 Speaker 1: in the first Trump administration, explain this. 641 00:33:07,880 --> 00:33:10,200 Speaker 5: Yeah, so, washing machines are a great example of some 642 00:33:10,240 --> 00:33:13,680 Speaker 5: of the weird and unintended consequences of tariffs. So we 643 00:33:14,040 --> 00:33:17,960 Speaker 5: imposed a safeguard measure, basically a global tariff on all 644 00:33:18,400 --> 00:33:22,840 Speaker 5: washing machines to help the American washing machine industry, mainly Whirlpool, 645 00:33:22,880 --> 00:33:25,120 Speaker 5: who was lobbying heavily for those. 646 00:33:25,200 --> 00:33:27,840 Speaker 1: By the way, how fucking corrupt is that? Oh yeah, 647 00:33:28,000 --> 00:33:32,680 Speaker 1: Worldpool could lobby heavily for this, and so we tariffed 648 00:33:32,720 --> 00:33:34,840 Speaker 1: another country's washing machines. 649 00:33:34,960 --> 00:33:36,880 Speaker 3: This is trade policy, one oh one. 650 00:33:37,000 --> 00:33:40,880 Speaker 5: The modern lobbying system in the United States has its 651 00:33:40,960 --> 00:33:44,800 Speaker 5: origins in like nineteenth century US tariff policy, which Congress 652 00:33:44,880 --> 00:33:48,920 Speaker 5: used to handle and it was just an absolute corruption buffet, right. 653 00:33:48,840 --> 00:33:52,120 Speaker 1: Which it still is. Right, because fucking Whirlpool does not 654 00:33:52,280 --> 00:33:53,680 Speaker 1: deserve to have in the. 655 00:33:53,600 --> 00:33:57,520 Speaker 5: Steel industry and the shipbuilding industry and the textile guys 656 00:33:57,520 --> 00:34:00,000 Speaker 5: and the sugar guys. So you get yourself a trade, 657 00:34:00,320 --> 00:34:04,520 Speaker 5: you lobby for protection. And because tariffs are mostly invisible, 658 00:34:04,560 --> 00:34:06,560 Speaker 5: like you don't see it on your sales receipt, right, 659 00:34:06,880 --> 00:34:09,720 Speaker 5: because they target foreigners, and we have these anti foreign 660 00:34:09,800 --> 00:34:14,600 Speaker 5: biases because they supposedly support jobs and patriotism and all that, 661 00:34:14,800 --> 00:34:17,760 Speaker 5: it's very politically seductive and pretty easy to get protection. 662 00:34:18,000 --> 00:34:20,520 Speaker 5: The only way we short circuited that dynamic was through 663 00:34:20,560 --> 00:34:22,839 Speaker 5: trade agreements, which, of course Trump has now blown up. 664 00:34:22,960 --> 00:34:25,320 Speaker 5: So we're kind of back in they just wild West 665 00:34:25,520 --> 00:34:30,120 Speaker 5: where you hire a lobbyist. Trade lobbying has skyrocketed this year. 666 00:34:30,560 --> 00:34:32,920 Speaker 5: You hire a lobbyist, you go to Washington, get you 667 00:34:32,960 --> 00:34:35,320 Speaker 5: try to get your own tariff, or you get yourself 668 00:34:35,320 --> 00:34:37,800 Speaker 5: a carve out if you're a big company like Apple, 669 00:34:38,120 --> 00:34:40,279 Speaker 5: where the rest of us are just eating it. 670 00:34:40,600 --> 00:34:44,360 Speaker 3: Right. Oh so, anyway, washing machine tariffs, So we imposed 671 00:34:44,640 --> 00:34:48,040 Speaker 3: washing machine tariffs. Prices of washing machines went up in 672 00:34:48,080 --> 00:34:50,839 Speaker 3: the United States. But the kicker is that prices of 673 00:34:50,960 --> 00:34:53,799 Speaker 3: dryers went up too, because you buy your washer and 674 00:34:53,800 --> 00:34:54,680 Speaker 3: your dryer together. 675 00:34:55,160 --> 00:34:57,480 Speaker 1: If you're going to pay three thousand dollars for your 676 00:34:57,520 --> 00:35:00,160 Speaker 1: washing machine, you're not going to pay two thousand dollar 677 00:35:00,200 --> 00:35:02,399 Speaker 1: for your dryer. Why not make the dryers three thousand docks. 678 00:35:02,600 --> 00:35:04,239 Speaker 3: Yeah, so companies figure this out. 679 00:35:04,280 --> 00:35:07,120 Speaker 5: Domestic companies like Worldpool figure this out too, and it 680 00:35:07,239 --> 00:35:10,799 Speaker 5: turns out that consumers ended up paying more than one 681 00:35:10,880 --> 00:35:13,840 Speaker 5: hundred percent of the tariff cost because the price of 682 00:35:13,840 --> 00:35:17,680 Speaker 5: the dryers went up too. So the kicker, however, is 683 00:35:17,719 --> 00:35:21,120 Speaker 5: that Wirlpool hasn't really even benefited. It turns out that 684 00:35:21,520 --> 00:35:25,640 Speaker 5: Samsung and LG had some factories in the United States 685 00:35:25,640 --> 00:35:29,080 Speaker 5: they were already building, so you have Samsung and LG factories, 686 00:35:29,080 --> 00:35:32,560 Speaker 5: whereas Worldpool's actually still struggling, which again is trade policy. 687 00:35:32,719 --> 00:35:35,000 Speaker 1: I have to say, though, that is a little bit 688 00:35:35,000 --> 00:35:38,279 Speaker 1: of a happy ending, because fuck Worldpool, I can say 689 00:35:38,360 --> 00:35:41,840 Speaker 1: because it's my podcast, But no, such a good example 690 00:35:41,920 --> 00:35:43,719 Speaker 1: of how none of this is going to have the 691 00:35:43,760 --> 00:35:45,560 Speaker 1: first roarer of effects we think. 692 00:35:45,600 --> 00:35:48,000 Speaker 5: Right, and it's going to have all sorts of weird 693 00:35:48,520 --> 00:35:50,840 Speaker 5: effects that we're only going to see in retrospect. And 694 00:35:50,880 --> 00:35:54,560 Speaker 5: that's another reason why tariffs are so politically seducted. It 695 00:35:54,640 --> 00:35:56,759 Speaker 5: takes a while for all of this stuff to kind 696 00:35:56,760 --> 00:36:00,880 Speaker 5: of work its way through the economy. You know, a 697 00:36:00,920 --> 00:36:05,080 Speaker 5: company like GM has like three tiers of suppliers, So 698 00:36:05,160 --> 00:36:08,200 Speaker 5: if the supplier at the bottom end is paying the 699 00:36:08,239 --> 00:36:11,360 Speaker 5: tariff and it passes on some and so it's gonna 700 00:36:11,440 --> 00:36:14,040 Speaker 5: it just takes forever for this stuff to wash out. 701 00:36:14,120 --> 00:36:18,120 Speaker 5: Now we're now a good six seven months into this, 702 00:36:18,560 --> 00:36:22,759 Speaker 5: and the economic data are finally starting to show the 703 00:36:22,840 --> 00:36:28,520 Speaker 5: tariff costs, the economic pain, higher prices, slower growth, the 704 00:36:28,560 --> 00:36:29,799 Speaker 5: lobbying stuff, and the rest. 705 00:36:29,880 --> 00:36:33,879 Speaker 1: Right, So, last week, before Donald Trump decided to have 706 00:36:33,920 --> 00:36:38,840 Speaker 1: an emergency summit with Vladimir Putin, totally because it needed 707 00:36:38,840 --> 00:36:42,439 Speaker 1: to happen on that Friday and not to distract from 708 00:36:42,480 --> 00:36:45,160 Speaker 1: anything else, right, those, of course would he there were 709 00:36:45,160 --> 00:36:49,440 Speaker 1: two bits of news that showed that the tariffs are 710 00:36:49,480 --> 00:36:52,040 Speaker 1: going to be a fucking disaster. Talk us through them. 711 00:36:52,440 --> 00:36:55,800 Speaker 5: Yeah, So we had last week the Consumer Price Index 712 00:36:55,920 --> 00:36:59,160 Speaker 5: data that's basically the United States government looks at the 713 00:36:59,640 --> 00:37:01,480 Speaker 5: price you and I are paying for stuff. 714 00:37:01,719 --> 00:37:03,560 Speaker 3: And here you're starting. 715 00:37:03,200 --> 00:37:11,160 Speaker 5: To see the prices of goods that are mainly importing toys, clothes, appliances, 716 00:37:11,239 --> 00:37:14,080 Speaker 5: other things. Those are starting to go up. The bigger 717 00:37:14,160 --> 00:37:17,480 Speaker 5: surprise was in the producer price index, which is the 718 00:37:17,520 --> 00:37:20,359 Speaker 5: prices that producers in the United States, so these don't 719 00:37:20,360 --> 00:37:23,759 Speaker 5: include tariffs, are just selling to each other. That was 720 00:37:23,800 --> 00:37:28,480 Speaker 5: a really big upside surprise, and the big driver were 721 00:37:28,520 --> 00:37:31,360 Speaker 5: the companies that deal in the import space, so like 722 00:37:31,440 --> 00:37:38,040 Speaker 5: wholesalers and distributors, sellers of manufactured machinery and other things. 723 00:37:38,400 --> 00:37:41,680 Speaker 5: So that had everybody looking at those things and going Aha, 724 00:37:42,080 --> 00:37:45,560 Speaker 5: terrifs are starting to really leak into the general inflation 725 00:37:45,719 --> 00:37:48,560 Speaker 5: data and the general price The other data piece we 726 00:37:48,640 --> 00:37:52,160 Speaker 5: got less reported is that we get data on import prices, 727 00:37:52,520 --> 00:37:55,760 Speaker 5: and here import prices were up. 728 00:37:55,600 --> 00:37:57,400 Speaker 3: A little bit. Now why does that important. 729 00:37:57,440 --> 00:38:01,239 Speaker 5: Well, import prices in this data set don't include tariffs, 730 00:38:01,760 --> 00:38:04,760 Speaker 5: so if we were to see, as Donald Trump claims, 731 00:38:04,840 --> 00:38:08,400 Speaker 5: foreigners paying the tariffs, we would expect import prices to 732 00:38:08,440 --> 00:38:12,000 Speaker 5: actually be down a lot, but they're not really at all. 733 00:38:12,440 --> 00:38:16,440 Speaker 5: So this is more evidence that it is Americans mainly 734 00:38:16,760 --> 00:38:20,200 Speaker 5: that are paying these billions in teriffs, and along with 735 00:38:20,280 --> 00:38:24,239 Speaker 5: of course higher prices for American made goods, because the 736 00:38:24,320 --> 00:38:27,480 Speaker 5: steel guys and the copper guys and the whirlpools of 737 00:38:27,480 --> 00:38:29,280 Speaker 5: the world, they're not going to sit around and go, oh, 738 00:38:29,320 --> 00:38:31,840 Speaker 5: you know we're gonna we're gonna charge low prices because 739 00:38:31,960 --> 00:38:34,479 Speaker 5: you know, our competitors higher, they're go in charge higher 740 00:38:34,480 --> 00:38:37,480 Speaker 5: prices too. That's what being insulated from competition. That's the 741 00:38:37,520 --> 00:38:39,720 Speaker 5: whole point, right, And that's what we're getting. 742 00:38:39,840 --> 00:38:45,480 Speaker 1: That is so incredibly unshocking and unsurprising. And I want 743 00:38:45,520 --> 00:38:48,759 Speaker 1: to talk for a minute about like a week before that, 744 00:38:49,160 --> 00:38:51,919 Speaker 1: I read an article that said that all the money 745 00:38:51,960 --> 00:38:54,879 Speaker 1: the government was making from tariffs, because the government right 746 00:38:54,920 --> 00:38:58,200 Speaker 1: now is making a gazillion dollars from tariffs, right, what 747 00:38:58,280 --> 00:38:58,960 Speaker 1: are the numbers. 748 00:38:59,360 --> 00:39:02,680 Speaker 5: It's like fifty billion a month right now, so pretty solid. 749 00:39:02,719 --> 00:39:06,200 Speaker 5: Now it's compared to where we were pre Trump era. 750 00:39:06,360 --> 00:39:09,400 Speaker 5: We would maybe clear one hundred billion a year in 751 00:39:09,480 --> 00:39:12,600 Speaker 5: tarrisks because we did have some tariffs on stuff like 752 00:39:12,920 --> 00:39:15,320 Speaker 5: shoes and clothes, because of course, you know, let's tax 753 00:39:15,360 --> 00:39:17,799 Speaker 5: those things, right, But generally we weren't making a lot. 754 00:39:17,880 --> 00:39:20,440 Speaker 3: Now we have a lot of revenue coming in. 755 00:39:20,760 --> 00:39:25,320 Speaker 1: So fifty billion a month, right, and that's ridiculous numbers. 756 00:39:25,760 --> 00:39:28,640 Speaker 1: I was reading an article that said that no one's 757 00:39:28,680 --> 00:39:31,040 Speaker 1: going to be able to undo the tariffs because this 758 00:39:31,200 --> 00:39:33,640 Speaker 1: money is so delicious and it's going to pay down 759 00:39:33,719 --> 00:39:35,319 Speaker 1: the debt, and we're going to be able to use 760 00:39:35,360 --> 00:39:41,040 Speaker 1: it to fund a whole new gestoppo ice whatever and 761 00:39:41,160 --> 00:39:44,320 Speaker 1: make new Alligator Alcatraz is in all of the things 762 00:39:44,360 --> 00:39:48,040 Speaker 1: that Trump World dreams of. But here's my hottest take 763 00:39:48,120 --> 00:39:51,440 Speaker 1: for you. We are on the precipice of a complete 764 00:39:51,600 --> 00:39:55,560 Speaker 1: financial meltdown. The reason that people, we haven't had tariffs 765 00:39:55,640 --> 00:39:59,000 Speaker 1: like this since the nineteen twenties or thirties. 766 00:39:59,120 --> 00:40:01,720 Speaker 3: Right, Yeah, I got to go back basically to Smooth Holly. 767 00:40:01,800 --> 00:40:03,239 Speaker 1: How did Smooth Holly end? 768 00:40:03,560 --> 00:40:07,239 Speaker 3: It ended with well, the Great Depression in World War Two? 769 00:40:07,719 --> 00:40:11,239 Speaker 1: But but yes, but there was good stuff in between there. 770 00:40:11,320 --> 00:40:14,200 Speaker 5: I'm going to be the calm intellectual here for a 771 00:40:14,239 --> 00:40:19,040 Speaker 5: second and say, most folks think that that tariff's exacerbated 772 00:40:19,160 --> 00:40:22,120 Speaker 5: other economic problems in the United States. Yeah, I'm not 773 00:40:22,200 --> 00:40:23,160 Speaker 5: as dire. 774 00:40:23,080 --> 00:40:25,279 Speaker 3: As you are. I see this more. 775 00:40:25,320 --> 00:40:27,920 Speaker 5: The way I describe it is it doesn't have to 776 00:40:27,920 --> 00:40:31,840 Speaker 5: be economic catastrophe for economic catastrophe for it to be bad. 777 00:40:32,360 --> 00:40:33,240 Speaker 3: I could cut. 778 00:40:33,040 --> 00:40:36,239 Speaker 5: Off my foot and still hobble around and live. That 779 00:40:36,320 --> 00:40:38,480 Speaker 5: doesn't mean cutting off my foot is a good idea. 780 00:40:38,680 --> 00:40:41,920 Speaker 5: And I think that's more where tariff policy is today 781 00:40:42,120 --> 00:40:43,160 Speaker 5: than the Great Depression. 782 00:40:43,400 --> 00:40:46,080 Speaker 1: Oh that said, at this point, there's only one sector 783 00:40:46,080 --> 00:40:48,560 Speaker 1: of the market that's growing, which is AI. 784 00:40:49,120 --> 00:40:52,520 Speaker 5: Yeah, very likely be above all, right, But remember the 785 00:40:52,640 --> 00:40:56,280 Speaker 5: United States is a massive, I mean thirty trillion dollar economy. 786 00:40:56,400 --> 00:41:00,040 Speaker 5: Imports are only around ten percent of our GDP. The 787 00:41:00,320 --> 00:41:02,640 Speaker 5: United States is actually not as much of a globally 788 00:41:02,640 --> 00:41:07,920 Speaker 5: integrated economy as you think. We're huge, dynamic services economy. 789 00:41:08,360 --> 00:41:10,719 Speaker 5: So you can do a lot of damage in the 790 00:41:10,719 --> 00:41:15,640 Speaker 5: trade and goods sector that'll leak into the services like 791 00:41:15,920 --> 00:41:19,239 Speaker 5: auto repair and other things, but it's not going to 792 00:41:20,320 --> 00:41:25,120 Speaker 5: likely tip us into whatever because so much of the 793 00:41:25,160 --> 00:41:28,080 Speaker 5: rest of the economy can be just fine without you know, 794 00:41:28,120 --> 00:41:31,000 Speaker 5: pay a little more, but be okay. The worry, I 795 00:41:31,040 --> 00:41:36,000 Speaker 5: think is that there's contagion, right, so people start freaking 796 00:41:36,040 --> 00:41:39,000 Speaker 5: out and they don't see that in April as the 797 00:41:39,040 --> 00:41:42,400 Speaker 5: worst case scenarios kind of people started thinking worst case 798 00:41:43,000 --> 00:41:45,279 Speaker 5: and I think that that's when you get into the 799 00:41:45,280 --> 00:41:46,080 Speaker 5: scary area. 800 00:41:46,239 --> 00:41:47,560 Speaker 3: It's that contagion stuff. 801 00:41:47,600 --> 00:41:51,480 Speaker 5: I don't think the director even indirect effects are alone enough. 802 00:41:51,520 --> 00:41:53,920 Speaker 5: But the fact is that you know, the US economy 803 00:41:54,080 --> 00:41:57,440 Speaker 5: was weakening before Trump took off. This it wasn't bad, 804 00:41:57,760 --> 00:42:01,239 Speaker 5: but it wasn't firing on all cylinders. And so the 805 00:42:01,280 --> 00:42:04,279 Speaker 5: problem with all this tariff stuff is that it's just 806 00:42:04,360 --> 00:42:05,560 Speaker 5: making us even weaker. 807 00:42:05,800 --> 00:42:08,279 Speaker 1: Say tomorrow, Donald Trump, and I don't think we're going 808 00:42:08,320 --> 00:42:10,399 Speaker 1: into a depression, but I certainly don't think we're going 809 00:42:10,400 --> 00:42:13,279 Speaker 1: anywhere good. Donald Trump tomorrow says, you know what, I 810 00:42:13,400 --> 00:42:18,360 Speaker 1: made a mistake. Triffs are inflationary. I was elected to 811 00:42:18,400 --> 00:42:21,960 Speaker 1: make things cheaper and also to be mean to people 812 00:42:22,200 --> 00:42:25,600 Speaker 1: who were not born here. I have now made a 813 00:42:25,680 --> 00:42:28,800 Speaker 1: huge mistake. I want to get rid of these tariffs. 814 00:42:28,920 --> 00:42:31,520 Speaker 1: You can't do it, so talk us through how hard 815 00:42:31,560 --> 00:42:32,279 Speaker 1: it is to do it. 816 00:42:32,480 --> 00:42:35,399 Speaker 3: Well, legally, he can't. He could literally sign a piece 817 00:42:35,400 --> 00:42:37,640 Speaker 3: of paper and they'd all go away tomorrow. But will 818 00:42:37,719 --> 00:42:41,239 Speaker 3: prices go down, No, very unlikely. 819 00:42:41,320 --> 00:42:41,520 Speaker 4: You know. 820 00:42:41,600 --> 00:42:44,399 Speaker 5: It's kind of like when the price at the gas 821 00:42:44,440 --> 00:42:46,479 Speaker 5: station goes up, it takes forever for him to come down. 822 00:42:46,880 --> 00:42:49,400 Speaker 5: When it comes to generally to the price level in 823 00:42:49,440 --> 00:42:52,400 Speaker 5: the United States. What you have to do, and this 824 00:42:52,440 --> 00:42:55,200 Speaker 5: is kind of similar to what happened during the Biden era, 825 00:42:55,800 --> 00:42:58,320 Speaker 5: is you have to just wait for wages to catch 826 00:42:58,400 --> 00:43:01,439 Speaker 5: up to where prices are. U won't keep heading up, 827 00:43:01,800 --> 00:43:04,279 Speaker 5: they'll just kind of flatten out, and that's what you. 828 00:43:04,280 --> 00:43:04,719 Speaker 3: Have to do. 829 00:43:05,080 --> 00:43:09,440 Speaker 5: I think the bigger issue, quite frankly, is the money. 830 00:43:09,800 --> 00:43:12,400 Speaker 5: Like you said, I think the tariffs can prove quite 831 00:43:12,520 --> 00:43:16,480 Speaker 5: durable because now you have tens, if not hundreds of 832 00:43:16,560 --> 00:43:20,000 Speaker 5: billions of dollars in new tax revenue, tax revenue that 833 00:43:20,160 --> 00:43:24,479 Speaker 5: for some insane reason, anti tax Republicans are cheering, and 834 00:43:24,960 --> 00:43:27,960 Speaker 5: we have fiscal problems. So I think it's just going 835 00:43:28,040 --> 00:43:31,439 Speaker 5: to be really hard for it to go away now 836 00:43:31,480 --> 00:43:33,759 Speaker 5: that it started. And this, by the way, again is 837 00:43:33,920 --> 00:43:39,000 Speaker 5: exactly why folks like me warn against tariffs, not just 838 00:43:39,040 --> 00:43:42,640 Speaker 5: the economic harms, not just how they hurt small businesses, 839 00:43:43,080 --> 00:43:46,040 Speaker 5: but because man, once they're in place, they are. 840 00:43:45,920 --> 00:43:48,480 Speaker 3: Incredibly difficult to remove. 841 00:43:48,800 --> 00:43:51,359 Speaker 5: And unfortunately that's what we got to deal with, and 842 00:43:51,520 --> 00:43:53,840 Speaker 5: we do dealing with, of course, because Congress won't do 843 00:43:53,880 --> 00:43:56,319 Speaker 5: its job and actually fix the laws that allow a 844 00:43:56,320 --> 00:43:58,240 Speaker 5: guy like Trump to do this stuff in the first place. 845 00:43:58,480 --> 00:44:01,960 Speaker 1: Scott, thank you, my pleasure. I hope you'll come back. 846 00:44:02,080 --> 00:44:02,480 Speaker 3: Of course. 847 00:44:04,760 --> 00:44:09,240 Speaker 1: No, Mom, Sickly, Jesse Cannon. 848 00:44:09,120 --> 00:44:13,239 Speaker 2: Molly, we got some serious, seriously fuckery going on right here. 849 00:44:13,480 --> 00:44:17,000 Speaker 1: This is special Molly's birthday. Fuck Ray so let's go. 850 00:44:17,400 --> 00:44:19,240 Speaker 1: Jesse Cannon, I'm scared. 851 00:44:19,480 --> 00:44:22,799 Speaker 2: You know, basically I am eight months older than you. 852 00:44:22,800 --> 00:44:24,799 Speaker 2: You give me tons of shit about this. You talk 853 00:44:24,840 --> 00:44:27,560 Speaker 2: about the guest sage. So today what I'm giving you 854 00:44:27,600 --> 00:44:30,520 Speaker 2: as a president is I'm going to tell you every 855 00:44:30,600 --> 00:44:34,960 Speaker 2: politician that is our age, so you can feel absolutely 856 00:44:35,080 --> 00:44:36,439 Speaker 2: terrible about how old we are. 857 00:44:37,040 --> 00:44:38,800 Speaker 1: This is the worst thing out. 858 00:44:38,840 --> 00:44:40,640 Speaker 2: So for listeners out of the note the past, I 859 00:44:40,719 --> 00:44:43,839 Speaker 2: used to buy Molli cabios from people like Rudy Giuliani, 860 00:44:44,040 --> 00:44:46,480 Speaker 2: Alan Dershowitz. I look at the list this year and 861 00:44:46,520 --> 00:44:49,320 Speaker 2: it's just too repulsive of who I would be giving money. 862 00:44:49,440 --> 00:44:51,680 Speaker 1: You don't want to give those people any money anymore. 863 00:44:52,320 --> 00:44:54,160 Speaker 1: It's just no good came up from that. 864 00:44:54,440 --> 00:44:56,880 Speaker 2: So I figured this is the less cruel thing to do, 865 00:44:57,040 --> 00:44:59,000 Speaker 2: even though this is about to be very cruel. Are 866 00:44:59,000 --> 00:45:01,000 Speaker 2: you ready for a list of people who are just 867 00:45:01,080 --> 00:45:02,200 Speaker 2: as old as you? 868 00:45:02,239 --> 00:45:02,319 Speaker 1: No. 869 00:45:03,040 --> 00:45:09,560 Speaker 6: Emmanuel McCrone, Really, he's accomplished so much more. Georgia Belodi, 870 00:45:10,239 --> 00:45:13,239 Speaker 6: she's also accomplished so much more. God damn it, they're 871 00:45:13,280 --> 00:45:15,120 Speaker 6: both forty seven. That's horrendous. 872 00:45:15,400 --> 00:45:17,799 Speaker 2: Technically within a year of us is what I'm doing here. 873 00:45:17,840 --> 00:45:20,480 Speaker 2: So it's like you can't do exactly but the Prime 874 00:45:20,520 --> 00:45:25,480 Speaker 2: Minister of Denmark Metta Fredericson, Oh wow, Congressman Seth multen 875 00:45:26,560 --> 00:45:31,040 Speaker 2: voldemir is Lenski what. Yeah, he was born on January 876 00:45:31,080 --> 00:45:33,839 Speaker 2: twenty fifth, nineteen seventy eight, which makes him seventeen days 877 00:45:33,920 --> 00:45:34,400 Speaker 2: younger than me. 878 00:45:34,760 --> 00:45:36,200 Speaker 1: Oh, Jesus fucking Christ. 879 00:45:36,239 --> 00:45:38,279 Speaker 2: All right, this one you're gonna be very proud of. 880 00:45:38,719 --> 00:45:39,640 Speaker 2: Mark Wayne Mullen. 881 00:45:39,880 --> 00:45:42,960 Speaker 1: Wait, that guy's our age, Jay, that guy. 882 00:45:42,880 --> 00:45:45,759 Speaker 2: Is our age. He's technically a hair older than me. 883 00:45:46,600 --> 00:45:48,640 Speaker 1: Mark, Wayne and Jesus Christ. 884 00:45:48,800 --> 00:45:51,920 Speaker 2: Okay, but this is the one that always really hurts 885 00:45:52,000 --> 00:45:55,200 Speaker 2: because she's just a few days older than me. Representative 886 00:45:55,280 --> 00:45:55,919 Speaker 2: Nancy Mace. 887 00:45:56,400 --> 00:45:59,360 Speaker 1: Wow, kind of makes you think. 888 00:45:59,440 --> 00:46:02,360 Speaker 2: Didn't we have a friend of the show, Robert Garcia, 889 00:46:02,400 --> 00:46:03,880 Speaker 2: who's just a few days older than me? 890 00:46:04,280 --> 00:46:06,399 Speaker 1: Ah, Robert Garcia. 891 00:46:07,160 --> 00:46:11,240 Speaker 2: Then, to get into our profession of punditry, Alex Wagner 892 00:46:11,600 --> 00:46:15,680 Speaker 2: is our age. Yeah, she's just two months older than me. 893 00:46:15,880 --> 00:46:18,000 Speaker 1: Also way more successful. 894 00:46:17,800 --> 00:46:21,560 Speaker 2: Just under the gun of being almost exactly a year 895 00:46:21,960 --> 00:46:24,840 Speaker 2: older than you, but still a little less is Steve Kornaki. 896 00:46:25,920 --> 00:46:31,040 Speaker 1: Steve Karnaki, congratulations Karnaki and being our age but you 897 00:46:31,080 --> 00:46:31,359 Speaker 1: know who. 898 00:46:31,360 --> 00:46:35,280 Speaker 2: You're about a month younger than who, Jesse Waters. 899 00:46:36,120 --> 00:46:40,719 Speaker 1: And I'm only married to my first husband, so damn it. 900 00:46:41,400 --> 00:46:43,360 Speaker 2: Okay, we still got a few more to go and 901 00:46:43,400 --> 00:46:44,239 Speaker 2: then this will be over. 902 00:46:44,400 --> 00:46:47,640 Speaker 1: Let's go. No, I never wanted to end. Keep going. 903 00:46:47,840 --> 00:46:51,160 Speaker 2: Okay, you're just a few months older than Representative Byron 904 00:46:51,239 --> 00:46:56,200 Speaker 2: Donald's all right, go on, Victoria Sparts just a few 905 00:46:56,239 --> 00:46:56,840 Speaker 2: months older. 906 00:46:56,920 --> 00:47:01,640 Speaker 1: Then I'm not going to say anything. I don't want 907 00:47:01,640 --> 00:47:02,360 Speaker 1: to get canceled. 908 00:47:03,560 --> 00:47:07,439 Speaker 2: Just a few months older, did Maryland Governor Wes Moore? 909 00:47:08,400 --> 00:47:10,040 Speaker 1: I knew because we went to school together. 910 00:47:10,520 --> 00:47:14,120 Speaker 2: I knew that. Actually, okay, but you got just almost 911 00:47:14,200 --> 00:47:16,960 Speaker 2: exactly a month on Governor Ron DeSantis. 912 00:47:17,320 --> 00:47:20,640 Speaker 1: Wait, I'm a month older than Ron DeSantis, younger, younger, 913 00:47:20,800 --> 00:47:23,240 Speaker 1: I look a lot younger, I think I would agree. 914 00:47:23,280 --> 00:47:24,920 Speaker 1: And I'm also a lot taller than Ron. 915 00:47:26,480 --> 00:47:28,840 Speaker 2: John Oliver is in the same year. 916 00:47:28,719 --> 00:47:33,800 Speaker 1: As us, whoa also more successful than we are. That's annoying. 917 00:47:34,280 --> 00:47:37,440 Speaker 2: Then we have a Congressman Mark Livin. 918 00:47:37,160 --> 00:47:38,520 Speaker 1: Yeah he looks older than we do. 919 00:47:38,800 --> 00:47:42,080 Speaker 2: Then we have former Congressman Adam Kinsinger. 920 00:47:41,719 --> 00:47:43,080 Speaker 1: Yeah he looks younger than we do. 921 00:47:43,719 --> 00:47:47,200 Speaker 2: And then, last, but not least, we have the one, 922 00:47:47,680 --> 00:47:52,040 Speaker 2: the only Senator Josh Holly, who's about a year younger 923 00:47:52,080 --> 00:47:52,440 Speaker 2: than us. 924 00:47:52,880 --> 00:47:57,040 Speaker 1: I mean, yes, Josh Holly, how. 925 00:47:56,880 --> 00:47:58,600 Speaker 2: Do you feel now, BALI did it? Did I cheer 926 00:47:58,640 --> 00:47:59,280 Speaker 2: up your birthday? 927 00:47:59,360 --> 00:48:00,080 Speaker 1: I hate you? 928 00:48:01,800 --> 00:48:03,640 Speaker 2: Well, I had to do it. 929 00:48:04,360 --> 00:48:05,399 Speaker 1: I truly hate you. 930 00:48:05,719 --> 00:48:08,680 Speaker 2: It was this our funding fascist. So there you go. 931 00:48:09,239 --> 00:48:12,480 Speaker 1: Thank you, thank you. Let's have a clean out here. 932 00:48:12,719 --> 00:48:13,720 Speaker 2: I'm taking a ballot. 933 00:48:13,719 --> 00:48:16,000 Speaker 1: Thank you. I'm going to go have an urban breakdown. 934 00:48:16,200 --> 00:48:20,879 Speaker 1: Thank you. That's it for this episode of Fast Politics. 935 00:48:21,360 --> 00:48:27,080 Speaker 1: Tune in every Monday, Wednesday, Thursday and Saturday to hear 936 00:48:27,360 --> 00:48:31,719 Speaker 1: the best minds and politics make sense of all this chaos. 937 00:48:32,000 --> 00:48:34,840 Speaker 1: If you enjoy this podcast, please send it to a 938 00:48:34,920 --> 00:48:38,920 Speaker 1: friend and keep the conversation going. Thanks for listening.