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 --> 00:00:11,399 Speaker 1: today's best minds. And Trump's White House has taken more 4 00:00:11,520 --> 00:00:17,120 Speaker 1: than eighty percent of Trump's transcribed remarks off the White 5 00:00:17,120 --> 00:00:19,720 Speaker 1: House website. We have such a great show for you 6 00:00:19,760 --> 00:00:24,119 Speaker 1: today as the world journs. Andy Levy stops by to 7 00:00:24,160 --> 00:00:27,280 Speaker 1: talk about all the chaos and corruption in Trump world. 8 00:00:27,400 --> 00:00:31,640 Speaker 1: Then we'll talk to Connecticut Governor Ned Lamont about how 9 00:00:31,680 --> 00:00:36,280 Speaker 1: he's navigating Trump's aggression towards the Blue States. But first 10 00:00:36,320 --> 00:00:37,800 Speaker 1: the news, BALI. 11 00:00:38,240 --> 00:00:42,120 Speaker 2: Many people are saying last night was the most corrupt 12 00:00:42,200 --> 00:00:44,800 Speaker 2: night in our history as a nation. That was because 13 00:00:44,800 --> 00:00:47,960 Speaker 2: Trump posted a one hundred and forty eight million dollar 14 00:00:48,479 --> 00:00:52,920 Speaker 2: allegedly fundraised US crypto dinner, and some people are calling 15 00:00:52,960 --> 00:00:55,960 Speaker 2: it the orgy of corruption. I don't want to picture 16 00:00:55,960 --> 00:00:58,240 Speaker 2: those people anywhere near that word, but make of it 17 00:00:58,320 --> 00:00:58,880 Speaker 2: what you will. 18 00:00:59,280 --> 00:01:04,240 Speaker 1: The of this crypto dinner is someone who is called 19 00:01:04,480 --> 00:01:09,160 Speaker 1: Justin Son. Son who saw a twenty twenty three fraud 20 00:01:09,240 --> 00:01:12,560 Speaker 1: case brought by the US Securities and Exchange Commission. He 21 00:01:12,600 --> 00:01:16,520 Speaker 1: saw that dropped in February in the new Trump administration. Also, 22 00:01:16,640 --> 00:01:21,199 Speaker 1: he is one of the biggest buyers of Trump's crypto coin. 23 00:01:21,360 --> 00:01:24,040 Speaker 1: In fact, he won the first place in the dinner 24 00:01:24,080 --> 00:01:28,400 Speaker 1: contest with an eighteen point five million dollar US wallet. 25 00:01:28,720 --> 00:01:33,520 Speaker 1: So he also advises this sketchy, trumpy bank called World 26 00:01:33,600 --> 00:01:37,280 Speaker 1: Liberty Financial, which, by the way, I remember World Liberty 27 00:01:37,360 --> 00:01:40,320 Speaker 1: Financial from going to Seapack. That was one of the 28 00:01:40,360 --> 00:01:42,560 Speaker 1: major sort of funders of Seapack. 29 00:01:42,720 --> 00:01:45,680 Speaker 2: It's really one of those names that rings grift. 30 00:01:46,480 --> 00:01:51,960 Speaker 1: Yeah, everyone in this dinner has just paid to try 31 00:01:52,120 --> 00:01:55,000 Speaker 1: to get Trump's influence. We're going to have next week 32 00:01:55,400 --> 00:01:57,680 Speaker 1: and we've had before, but we're gonna have more talk 33 00:01:57,720 --> 00:02:00,559 Speaker 1: about crypto. There are a couple people will cover really well, 34 00:02:00,600 --> 00:02:03,320 Speaker 1: and everyone you talk to in the end, you know, 35 00:02:03,400 --> 00:02:05,720 Speaker 1: they're sort of like, it's it's really just a kind 36 00:02:05,800 --> 00:02:09,240 Speaker 1: of grift. It's really just not a real thing. And 37 00:02:09,280 --> 00:02:12,800 Speaker 1: it's also, by the way, a currency that is terrible 38 00:02:12,840 --> 00:02:15,360 Speaker 1: for the environment because it has to be mined. So 39 00:02:15,919 --> 00:02:20,280 Speaker 1: there are so many different reasons why crypto is a skin. 40 00:02:20,400 --> 00:02:23,840 Speaker 1: But crypto has this bill that is working its way 41 00:02:23,880 --> 00:02:26,560 Speaker 1: through the Senate, which is a you know, a non 42 00:02:26,680 --> 00:02:32,920 Speaker 1: regulation of crypto bill, and crypto spends this industry spends 43 00:02:32,960 --> 00:02:35,200 Speaker 1: you know, they're sort of the if anything, they're kind 44 00:02:35,240 --> 00:02:37,600 Speaker 1: of the big oil of this century. 45 00:02:37,680 --> 00:02:37,920 Speaker 3: Right. 46 00:02:38,000 --> 00:02:43,760 Speaker 1: They are spending on senators and congress people, and they 47 00:02:43,800 --> 00:02:48,120 Speaker 1: are spending on their advertising for them. They are creating 48 00:02:48,120 --> 00:02:51,200 Speaker 1: super packs. They are doing you know, just what Exxon 49 00:02:51,440 --> 00:02:55,519 Speaker 1: or just what camel cigarettes used to do in previous decades. 50 00:02:55,639 --> 00:02:59,080 Speaker 1: And it is really they just have a vice grip 51 00:02:59,400 --> 00:03:03,440 Speaker 1: already on our elected And it didn't take very long 52 00:03:03,680 --> 00:03:04,680 Speaker 1: at all, No. 53 00:03:05,240 --> 00:03:08,240 Speaker 2: It sure did not. So in addition to this, then 54 00:03:08,320 --> 00:03:11,760 Speaker 2: after this big old festival of corruption, because I'm not 55 00:03:11,880 --> 00:03:14,880 Speaker 2: using that word again, what we saw as Trump started 56 00:03:15,320 --> 00:03:19,840 Speaker 2: re escalating his trade war again. Some people said, maybe 57 00:03:19,880 --> 00:03:23,160 Speaker 2: this is because these people didn't come to the dinner 58 00:03:23,240 --> 00:03:25,400 Speaker 2: and bribe them enough. Maybe some people say, you just 59 00:03:25,440 --> 00:03:27,120 Speaker 2: woke up on the wrong side of the bed. What 60 00:03:27,200 --> 00:03:29,680 Speaker 2: are you thinking to hear Bally, he's attacking Europe, He's 61 00:03:29,720 --> 00:03:31,639 Speaker 2: attacking Apple. What's your thought here? 62 00:03:31,840 --> 00:03:36,160 Speaker 1: So this is like real mad king kind of stuff. Yes, 63 00:03:36,840 --> 00:03:39,240 Speaker 1: you know that was when I thought. So basically he 64 00:03:39,280 --> 00:03:41,560 Speaker 1: got up and look, you know, with Trump, it could 65 00:03:41,640 --> 00:03:44,440 Speaker 1: be he's mad at someone. It could be he's trying 66 00:03:44,440 --> 00:03:47,720 Speaker 1: to distract from something. It could be he wants Tim 67 00:03:47,760 --> 00:03:49,560 Speaker 1: Cook I mean, it could be as simple as that 68 00:03:49,600 --> 00:03:52,320 Speaker 1: he just wants Tim Cook to open a factory and 69 00:03:52,400 --> 00:03:55,600 Speaker 1: deluse You know, it doesn't necessarily. One of the things 70 00:03:55,680 --> 00:03:59,120 Speaker 1: I think people do wrong about covering Trump is describing 71 00:03:59,200 --> 00:04:01,880 Speaker 1: more meaning than is to the things he does. So 72 00:04:02,120 --> 00:04:04,400 Speaker 1: I'm just going to read you a little bit of 73 00:04:04,440 --> 00:04:06,760 Speaker 1: the truth. But the net net of it is the 74 00:04:06,800 --> 00:04:09,680 Speaker 1: truth quote unquote, The net net of it is twenty 75 00:04:09,680 --> 00:04:14,160 Speaker 1: five percent tariff on Apple. If the tech trient does 76 00:04:14,200 --> 00:04:16,760 Speaker 1: not shift manufacturing in the US, I don't know how 77 00:04:16,800 --> 00:04:19,080 Speaker 1: they would do that. And by the way, is want 78 00:04:19,240 --> 00:04:21,560 Speaker 1: pull back from it. And remember that there was all 79 00:04:21,640 --> 00:04:25,159 Speaker 1: this reporting that if they were to make Apple iPhones 80 00:04:25,279 --> 00:04:28,440 Speaker 1: in the United States, it says if an iPhone, this 81 00:04:28,560 --> 00:04:33,480 Speaker 1: is from grac Who's always right, an iPhone We're made 82 00:04:33,839 --> 00:04:36,760 Speaker 1: entirely in the US. Analyst estimates the cost could be 83 00:04:36,800 --> 00:04:41,599 Speaker 1: significantly higher, reaching between thirty five hundred and even thirty 84 00:04:41,800 --> 00:04:46,000 Speaker 1: thousand to one hundred thousand, due to factors like higher 85 00:04:46,080 --> 00:04:49,320 Speaker 1: labor costs, logistics, and a need to rebuild the supplydget. 86 00:04:49,680 --> 00:04:53,440 Speaker 1: So the point is a tariff cannot fix this problem. 87 00:04:53,600 --> 00:04:56,600 Speaker 1: Like so many moments in Trump world, we have this 88 00:04:56,880 --> 00:05:01,360 Speaker 1: problem which is you cannot rewrite history that anyway, that 89 00:05:01,720 --> 00:05:04,680 Speaker 1: is the story with that. And then also to tariff 90 00:05:04,760 --> 00:05:07,279 Speaker 1: the EU. Who knows why he's mad at the EU. 91 00:05:07,520 --> 00:05:10,680 Speaker 1: But the point is a fifty percent tariff would damage 92 00:05:10,720 --> 00:05:13,560 Speaker 1: the EU, but it would also damage us because we 93 00:05:13,600 --> 00:05:15,560 Speaker 1: get a lot of stuff from the EU. And remember 94 00:05:15,640 --> 00:05:19,240 Speaker 1: he's still fighting with Canada and Mexico. So we have 95 00:05:19,480 --> 00:05:23,800 Speaker 1: this situation where we have this president who is just 96 00:05:24,680 --> 00:05:26,760 Speaker 1: out of control and that's where we are. 97 00:05:27,120 --> 00:05:30,440 Speaker 2: Yeah. So another one of the nice features of this 98 00:05:30,600 --> 00:05:35,400 Speaker 2: presidency is hiring all the really really qualified people, by 99 00:05:35,400 --> 00:05:38,000 Speaker 2: which I mean really unqualified people. We have some of 100 00:05:38,000 --> 00:05:40,240 Speaker 2: the best evidence of that we've seen so far a 101 00:05:40,320 --> 00:05:43,680 Speaker 2: report from Will Staken that says where they got tape 102 00:05:43,760 --> 00:05:47,040 Speaker 2: of the Social Security chief talking about how they learned 103 00:05:47,040 --> 00:05:47,760 Speaker 2: about their job. 104 00:05:48,960 --> 00:05:53,359 Speaker 4: It's about social security and I'm really I'm really not 105 00:05:53,640 --> 00:05:57,680 Speaker 4: I'm swear I'm not living for God, and I'm like, well, 106 00:05:57,640 --> 00:06:00,600 Speaker 4: what am I going to do? So I'm googling social Security, 107 00:06:00,839 --> 00:06:03,160 Speaker 4: you know, one of my great skills on my great 108 00:06:03,200 --> 00:06:07,600 Speaker 4: Googlers on the East Coast. But that is the headline 109 00:06:07,680 --> 00:06:13,760 Speaker 4: for the post. Great Google Google are in Chief Chief 110 00:06:13,839 --> 00:06:17,800 Speaker 4: and Google or whatever. Uh So by the way, I 111 00:06:17,839 --> 00:06:20,160 Speaker 4: definitely at work, you know, we're allowed to lap. We're 112 00:06:20,160 --> 00:06:21,960 Speaker 4: all out of that fun. We're out to know each 113 00:06:21,960 --> 00:06:28,719 Speaker 4: other's families are not to be normal of that. I'm like, okay, 114 00:06:28,839 --> 00:06:32,800 Speaker 4: it's a commissioner Social Security. First, it wouldn't nobody said 115 00:06:32,839 --> 00:06:34,440 Speaker 4: we're calling you a bit. It was about some of 116 00:06:34,520 --> 00:06:36,280 Speaker 4: those securities. I'm trying to figure it out. 117 00:06:36,720 --> 00:06:38,400 Speaker 2: Great stuff. He's really good at googling. 118 00:06:38,680 --> 00:06:40,600 Speaker 1: I don't know, you know. And this is the thing 119 00:06:40,760 --> 00:06:44,960 Speaker 1: about this administration that will hopefully save us but also 120 00:06:45,080 --> 00:06:48,480 Speaker 1: probably end us, is that I really don't know how 121 00:06:48,520 --> 00:06:50,880 Speaker 1: anything works. And a lot of these people got these 122 00:06:50,960 --> 00:06:55,600 Speaker 1: jobs because who knows. So not great. 123 00:06:55,960 --> 00:06:59,680 Speaker 2: Speaking of not great, Christy Nome probably tweeted one of 124 00:06:59,680 --> 00:07:02,680 Speaker 2: the upidest things I've ever seen, tweeted a policy. Some 125 00:07:02,720 --> 00:07:04,880 Speaker 2: people are saying they long for the days of Sarah 126 00:07:04,880 --> 00:07:09,520 Speaker 2: Palin's stupidity after seeing it. She's tweeting and threatening Harvard 127 00:07:09,520 --> 00:07:12,480 Speaker 2: because she wants them to turn over academic records of 128 00:07:12,840 --> 00:07:17,200 Speaker 2: who has been taken in for reprimendments around protesting, and 129 00:07:17,280 --> 00:07:20,840 Speaker 2: Harvard is refusing. But luckily Harvard just got temporary relief 130 00:07:20,880 --> 00:07:21,520 Speaker 2: from the courts. 131 00:07:22,080 --> 00:07:27,480 Speaker 1: Yeah, Christine Nome is the Sarah Pillon of this administration, 132 00:07:28,040 --> 00:07:30,560 Speaker 1: though Sarah Palin number one, because we used to be 133 00:07:31,000 --> 00:07:35,440 Speaker 1: less insipid. These people are so over their head. This 134 00:07:35,600 --> 00:07:39,440 Speaker 1: morning they banned Harvard from taking we had I think 135 00:07:39,480 --> 00:07:42,600 Speaker 1: it was Christy Nome who said that they revoked Harvard's 136 00:07:42,880 --> 00:07:49,720 Speaker 1: whatever charter to allow foreign students to court immediately Harvard 137 00:07:49,760 --> 00:07:53,840 Speaker 1: one temporary relief. I do think this kind of stuff 138 00:07:54,360 --> 00:07:58,240 Speaker 1: is ultimately I understand that it's for the base, but 139 00:07:58,480 --> 00:08:01,560 Speaker 1: you already have the base right. The play here is 140 00:08:01,680 --> 00:08:04,880 Speaker 1: get the base excited to go after Harvard. But what 141 00:08:05,000 --> 00:08:08,520 Speaker 1: I think is really stupid about this is you've made 142 00:08:08,560 --> 00:08:11,960 Speaker 1: things more expensive for the base. They're getting hurt by taffs, 143 00:08:12,080 --> 00:08:16,080 Speaker 1: You're you know, back and forth, you're killing consumer confidence. 144 00:08:16,280 --> 00:08:18,360 Speaker 1: These are the things that if you want to get 145 00:08:18,440 --> 00:08:21,440 Speaker 1: the base excited. But it's like there's so much self 146 00:08:21,440 --> 00:08:24,800 Speaker 1: destruction in this administration, which thank god for that. But 147 00:08:25,080 --> 00:08:27,080 Speaker 1: you know, this is going to play out and they're 148 00:08:27,080 --> 00:08:29,480 Speaker 1: going to fundraise off it, and I think they think 149 00:08:29,480 --> 00:08:32,240 Speaker 1: it's good optics for them. But I do really wonder 150 00:08:32,360 --> 00:08:35,079 Speaker 1: if anyone, I mean it's they think it's good optics 151 00:08:35,120 --> 00:08:37,959 Speaker 1: for them. It's certainly terrible for the rest of us, 152 00:08:37,960 --> 00:08:41,440 Speaker 1: and it hurts research, and you know, there's so much research. 153 00:08:41,520 --> 00:08:43,959 Speaker 1: These people are coming to this country to get educated. 154 00:08:44,000 --> 00:08:46,120 Speaker 1: The other thing is that it's like it hurts the world, 155 00:08:46,200 --> 00:08:48,400 Speaker 1: but it also showed, you know, we're not going to 156 00:08:48,440 --> 00:08:50,600 Speaker 1: be the leader in the world. This stuff where they 157 00:08:50,800 --> 00:08:53,960 Speaker 1: harass people and keep them from wanting to come here. 158 00:08:54,440 --> 00:08:56,679 Speaker 1: It's going to hurt all of our institutions. It's going 159 00:08:56,720 --> 00:08:59,120 Speaker 1: to hurt all of our research, and ultimately they're going 160 00:08:59,160 --> 00:09:05,240 Speaker 1: to lose because business. Andy Levy is a ghost of 161 00:09:05,320 --> 00:09:09,679 Speaker 1: as the world churns. Welcome to fast politics, Andy Levy. 162 00:09:09,760 --> 00:09:11,720 Speaker 3: Th best, Thank you? 163 00:09:11,840 --> 00:09:14,240 Speaker 1: How are you? You're welcome here? 164 00:09:15,200 --> 00:09:15,440 Speaker 4: Good? 165 00:09:15,960 --> 00:09:19,600 Speaker 1: How heavy is American democracy right now? I mean that, 166 00:09:19,920 --> 00:09:22,880 Speaker 1: you know, I know that these people are super incompetent. 167 00:09:23,000 --> 00:09:27,440 Speaker 1: I get it, but it's still so just watching them 168 00:09:27,720 --> 00:09:32,640 Speaker 1: just screw over every institution. I have no connection to Harvard. 169 00:09:33,800 --> 00:09:37,880 Speaker 1: I am not you know, nothing that didn't go there, 170 00:09:38,080 --> 00:09:42,600 Speaker 1: didn't visit there, you know, I'm no no degrees from there, 171 00:09:42,679 --> 00:09:46,719 Speaker 1: nothing didn't never got in there, and in any way 172 00:09:46,840 --> 00:09:50,560 Speaker 1: I never even applied there. And I actually I once 173 00:09:50,600 --> 00:09:54,160 Speaker 1: spoke at the Kennedy School. That's it. And let me 174 00:09:54,280 --> 00:09:58,800 Speaker 1: tell you those that made me so upset? What is 175 00:09:58,880 --> 00:10:01,880 Speaker 1: wrong with us? Why is it so depressing to watch this? 176 00:10:02,800 --> 00:10:04,600 Speaker 5: I don't know, but I feel you've got a lot 177 00:10:04,640 --> 00:10:08,240 Speaker 5: of psychological baggage about not going to Harvard. After hearing 178 00:10:08,240 --> 00:10:12,160 Speaker 5: that long litany of things, it's like, you know, you 179 00:10:12,160 --> 00:10:15,960 Speaker 5: could just say, yeah, didn't go to Harvard, but you 180 00:10:16,000 --> 00:10:20,840 Speaker 5: know you felt it necessary to uh to enumerate the 181 00:10:21,000 --> 00:10:22,360 Speaker 5: various goings on. 182 00:10:23,080 --> 00:10:23,200 Speaker 4: Uh. 183 00:10:23,400 --> 00:10:27,720 Speaker 5: Look, we've known this for a while that everything that 184 00:10:27,760 --> 00:10:30,560 Speaker 5: they have been using, you know, to try to claim 185 00:10:30,760 --> 00:10:33,360 Speaker 5: that they're fighting anti Semitism, which is the last thing 186 00:10:33,360 --> 00:10:35,959 Speaker 5: in the world they care about. When they're not promoting it, 187 00:10:36,080 --> 00:10:39,280 Speaker 5: they don't care about it. That's the only two options there. 188 00:10:39,360 --> 00:10:42,440 Speaker 5: But this has always been aimed at, you know, the 189 00:10:42,640 --> 00:10:47,280 Speaker 5: quote unquote elite institutions like Harvard, like Columbia. 190 00:10:47,320 --> 00:10:48,760 Speaker 3: It's all more of the same. 191 00:10:49,120 --> 00:10:51,200 Speaker 5: And if the thing is like, they don't care that 192 00:10:51,240 --> 00:10:56,200 Speaker 5: they're losing in court, and I think their attitude seems 193 00:10:56,240 --> 00:10:58,960 Speaker 5: to be we're gonna we're gonna keep doing this and 194 00:10:59,160 --> 00:11:03,040 Speaker 5: sometimes the university or the law firm or whatever is 195 00:11:03,080 --> 00:11:04,839 Speaker 5: going to roll over and that's a win for us. 196 00:11:05,040 --> 00:11:06,960 Speaker 5: And sometimes they're going to fight back, and if we 197 00:11:07,000 --> 00:11:09,480 Speaker 5: lose that we're back where we're started. But we've got 198 00:11:09,480 --> 00:11:13,280 Speaker 5: these other wins, so it really is kind of win 199 00:11:13,360 --> 00:11:16,439 Speaker 5: win for them because even when they lose, you know, 200 00:11:16,600 --> 00:11:18,560 Speaker 5: all it does is keep the status quo. But when 201 00:11:18,559 --> 00:11:20,600 Speaker 5: they win, it changes everything. 202 00:11:20,960 --> 00:11:25,880 Speaker 1: Judge Box of Wine, you're a friend of mine. She 203 00:11:26,040 --> 00:11:32,719 Speaker 1: is now the acting head. What the fuck? What the 204 00:11:32,800 --> 00:11:34,640 Speaker 1: actual fuck discussion? 205 00:11:34,800 --> 00:11:38,480 Speaker 5: Yeah, when New York Gorsearch was nominated to the Supreme Court, 206 00:11:38,679 --> 00:11:40,559 Speaker 5: I was good friends with Neil and college and we 207 00:11:41,240 --> 00:11:43,240 Speaker 5: the two of us and a couple other people, started 208 00:11:43,320 --> 00:11:46,720 Speaker 5: an alternative newspaper at Columbia, and so people found this 209 00:11:46,760 --> 00:11:48,280 Speaker 5: out about me, and I was at the time, I 210 00:11:48,320 --> 00:11:51,600 Speaker 5: was working at Fox, so people assumed I was a conservative, 211 00:11:51,760 --> 00:11:54,079 Speaker 5: which I wasn't, but I got so I got a 212 00:11:54,120 --> 00:11:56,319 Speaker 5: lot of press calls, and I think it might have 213 00:11:56,320 --> 00:11:58,200 Speaker 5: been New York Magazine. I was talking to a reporter 214 00:11:58,320 --> 00:12:00,960 Speaker 5: and he didn't use this line, and it's pissed me 215 00:12:01,000 --> 00:12:03,360 Speaker 5: off to this day because it's now very relevant. And 216 00:12:03,400 --> 00:12:05,760 Speaker 5: I basically said at the end of the interview, I said, look, 217 00:12:05,800 --> 00:12:08,520 Speaker 5: Neil Gorswitch is sort of the best you could hope 218 00:12:08,520 --> 00:12:12,199 Speaker 5: for from Trump in the sense that he's at least intelligent. 219 00:12:12,520 --> 00:12:15,680 Speaker 5: And then I said, you know, what did you want instead? 220 00:12:16,400 --> 00:12:20,000 Speaker 5: Justice Puro? And here we are. Was it seven eight 221 00:12:20,080 --> 00:12:26,679 Speaker 5: years later and we've got acting US Attorney Puro. And 222 00:12:27,040 --> 00:12:30,920 Speaker 5: it's incredible because whatever jokes you make, or however much 223 00:12:31,000 --> 00:12:36,360 Speaker 5: you think you are exaggerating or you know, being a hyperbolic. 224 00:12:36,720 --> 00:12:40,400 Speaker 3: It comes true. It all comes true in the end. 225 00:12:40,720 --> 00:12:45,000 Speaker 5: And I think about the fact that I left Fox 226 00:12:45,320 --> 00:12:46,880 Speaker 5: and I could have had an. 227 00:12:46,800 --> 00:12:48,600 Speaker 3: Amazing career in government, Molly. 228 00:12:48,720 --> 00:12:50,880 Speaker 5: I could have been the head of Homeland Security, I 229 00:12:50,920 --> 00:12:54,920 Speaker 5: could have been the Secretary of State or Defense, and 230 00:12:55,240 --> 00:12:55,840 Speaker 5: I blew it. 231 00:12:56,120 --> 00:12:58,000 Speaker 3: Then that's all I take from this, Molly, is that 232 00:12:58,080 --> 00:12:58,600 Speaker 3: I blew it. 233 00:12:58,679 --> 00:13:03,559 Speaker 1: I'm an idiot, yes, And also yes, you probably would 234 00:13:03,559 --> 00:13:05,840 Speaker 1: have been. I don't know. I feel like you wouldn't 235 00:13:05,840 --> 00:13:09,120 Speaker 1: have been able to do the kind of sycovancy that 236 00:13:09,559 --> 00:13:12,920 Speaker 1: was needed, right, So I feel like since you would 237 00:13:12,920 --> 00:13:15,640 Speaker 1: be bad at the sycophancy, he would give you like 238 00:13:15,679 --> 00:13:19,680 Speaker 1: a job to punish you, like, you know, like you'd 239 00:13:19,720 --> 00:13:22,400 Speaker 1: get something that he thinks of as like not a 240 00:13:22,440 --> 00:13:25,480 Speaker 1: good job, because it's like, yeah, like I think a 241 00:13:25,520 --> 00:13:28,320 Speaker 1: lot about where you know, Linda McMahon and Howard Lutnik 242 00:13:28,320 --> 00:13:31,440 Speaker 1: were in this power struggle over who got to be 243 00:13:31,840 --> 00:13:36,640 Speaker 1: Commerce secretary, right, right, And even though because nobody knew 244 00:13:36,640 --> 00:13:39,240 Speaker 1: what any of these jobs were, clearly right they were like, 245 00:13:39,320 --> 00:13:42,960 Speaker 1: commerce secretary sounds better because it deals with money, whereas 246 00:13:43,120 --> 00:13:47,000 Speaker 1: Secretary of Education is kids and nobody likes kids. And 247 00:13:47,040 --> 00:13:51,160 Speaker 1: then Linda McMahon got Secretary of Education. So the star 248 00:13:51,280 --> 00:13:53,840 Speaker 1: contrast to Trumpell one point zero, where they did actually 249 00:13:53,880 --> 00:13:57,000 Speaker 1: have someone in there who actually knew a tiny bit 250 00:13:57,040 --> 00:14:00,640 Speaker 1: about education, which so it is so I think that 251 00:14:00,920 --> 00:14:03,360 Speaker 1: if you had been able to stay at Pox a 252 00:14:03,400 --> 00:14:06,240 Speaker 1: little longer, you probably would be Secretary of Education. 253 00:14:06,360 --> 00:14:08,760 Speaker 5: Now, I mean all I ever wanted is really to 254 00:14:08,760 --> 00:14:11,000 Speaker 5: be the first Jewish ambassador to the Vatican. 255 00:14:11,600 --> 00:14:13,200 Speaker 3: Yeah, I think I could have pulled that off. 256 00:14:13,360 --> 00:14:18,480 Speaker 1: Trump's first administration. He put Newt Gingrich his wife, not 257 00:14:18,559 --> 00:14:21,960 Speaker 1: even new the wife, as ambassador to Holy See. 258 00:14:22,360 --> 00:14:25,200 Speaker 3: And I think his twelfth wife, right, that's his twelfth wife. 259 00:14:25,240 --> 00:14:27,160 Speaker 1: He stepped on my joke there, baby. 260 00:14:27,040 --> 00:14:29,160 Speaker 3: Oh, I'm so sorry. 261 00:14:30,120 --> 00:14:33,640 Speaker 1: No, No, I think I think you hit the right 262 00:14:33,640 --> 00:14:36,000 Speaker 1: notes there. And also I don't think I should be 263 00:14:36,000 --> 00:14:38,840 Speaker 1: talking too much. But but yeah, that is a really 264 00:14:38,840 --> 00:14:43,160 Speaker 1: great example of how in many ways this administration has 265 00:14:43,280 --> 00:14:45,760 Speaker 1: just gone on from strength to strength. 266 00:14:45,800 --> 00:14:49,880 Speaker 5: As we say, yeah, I think some of us at 267 00:14:49,960 --> 00:14:53,680 Speaker 5: least thought that the people he named in his second 268 00:14:53,760 --> 00:14:57,440 Speaker 5: term would they'd be awful and they'd be evil, but 269 00:14:57,520 --> 00:15:00,880 Speaker 5: they might actually be competent to No, Nope, And it 270 00:15:00,960 --> 00:15:04,520 Speaker 5: turns out no, and that they're like just as incompetent 271 00:15:04,560 --> 00:15:06,320 Speaker 5: as they were in Trump one point, oh if not 272 00:15:06,360 --> 00:15:08,040 Speaker 5: more so, if not more so. 273 00:15:08,360 --> 00:15:10,920 Speaker 1: Now we're going to talk about one of the things 274 00:15:10,960 --> 00:15:13,560 Speaker 1: that Trump has actually learned how to do really well, 275 00:15:13,720 --> 00:15:17,560 Speaker 1: which is he is incredibly good at whipping the vote. 276 00:15:18,040 --> 00:15:23,840 Speaker 1: He has become the Nancy Pelosi of the House Republican Caucus. 277 00:15:23,880 --> 00:15:28,640 Speaker 1: You know, he is out there with his puppet Mike Johnson, 278 00:15:29,320 --> 00:15:33,520 Speaker 1: and he is whipping the vote. He got the big, 279 00:15:34,240 --> 00:15:38,120 Speaker 1: beautiful Buxom billionaire. 280 00:15:37,840 --> 00:15:40,280 Speaker 3: Bill, blonde blonde. 281 00:15:39,920 --> 00:15:48,160 Speaker 1: Billionaire bill, which is going to bankrupt our economy discuss. 282 00:15:48,280 --> 00:15:51,000 Speaker 5: I never thought I would long for the days of 283 00:15:51,080 --> 00:15:51,880 Speaker 5: Kevin McCarthy. 284 00:15:52,040 --> 00:15:56,560 Speaker 1: Oh yeah, Kevin looks like Lincoln, right, I know. 285 00:15:56,840 --> 00:16:01,080 Speaker 5: He looks like a veritable statesman compared to Mike Johnson. 286 00:16:01,320 --> 00:16:03,840 Speaker 5: And the thing is, at least with Kevin McCarthy, he 287 00:16:03,960 --> 00:16:08,040 Speaker 5: had no real core beliefs, so you could push them around, 288 00:16:08,160 --> 00:16:11,840 Speaker 5: whereas Johnson, Yeah, Mike Johnson does have. 289 00:16:11,760 --> 00:16:14,320 Speaker 3: Core beliefs, and they're they're awful. I mean, they are 290 00:16:14,520 --> 00:16:15,600 Speaker 3: wor pretty scary. 291 00:16:15,720 --> 00:16:16,400 Speaker 1: Yeah. 292 00:16:16,520 --> 00:16:19,680 Speaker 5: Yeah, So he's a true believer and so he's out 293 00:16:19,720 --> 00:16:23,040 Speaker 5: there doing this stuff. And I do think it was 294 00:16:23,080 --> 00:16:25,920 Speaker 5: funny though, because I guess there was a meeting he 295 00:16:26,000 --> 00:16:29,320 Speaker 5: had with people on the Senate side, GOP members of 296 00:16:29,320 --> 00:16:31,880 Speaker 5: the Senate, and he told them, don't change this bill. 297 00:16:32,160 --> 00:16:33,840 Speaker 3: You know, if you're going to make changes, keep them 298 00:16:34,200 --> 00:16:34,800 Speaker 3: very minimal. 299 00:16:35,480 --> 00:16:38,640 Speaker 5: And my understanding is I don't know if anyone actually 300 00:16:38,720 --> 00:16:42,720 Speaker 5: laughed in his face, but the senators pretty much said, 301 00:16:42,920 --> 00:16:46,280 Speaker 5: you know, I know, John Thune was quoted afterwards that no, 302 00:16:46,440 --> 00:16:49,000 Speaker 5: we're going to put our imprint on this bill. So 303 00:16:49,200 --> 00:16:51,640 Speaker 5: it's going to be interesting to see what the Senate 304 00:16:51,720 --> 00:16:55,480 Speaker 5: does to this bill and how well Trump can whip them. 305 00:16:55,800 --> 00:16:56,240 Speaker 3: I don't know. 306 00:16:56,680 --> 00:16:58,920 Speaker 5: It feels like in the Senate there's a chance for 307 00:16:59,040 --> 00:17:02,960 Speaker 5: maybe some of the awful things to be made less awful, 308 00:17:03,000 --> 00:17:05,120 Speaker 5: but it also feels like there's a chance for things 309 00:17:05,160 --> 00:17:06,919 Speaker 5: to be made even worse. I mean, you got people 310 00:17:06,960 --> 00:17:10,560 Speaker 5: like Ron Johnson and Mike Lee out there saying oh no, oh, 311 00:17:10,600 --> 00:17:13,080 Speaker 5: we need to put more spending cuts in these in 312 00:17:13,119 --> 00:17:16,520 Speaker 5: this bill. And so, you know, I would like to 313 00:17:16,600 --> 00:17:20,800 Speaker 5: think that maybe there are some saner heads in the Senate, 314 00:17:20,960 --> 00:17:24,520 Speaker 5: but then I remember that there are people like Ron 315 00:17:24,600 --> 00:17:27,680 Speaker 5: Johnson and Mike Lee in the Senate, and I just think, 316 00:17:27,840 --> 00:17:30,479 Speaker 5: oh my god, this could be even fucking worse than 317 00:17:30,480 --> 00:17:31,000 Speaker 5: it is now. 318 00:17:31,320 --> 00:17:33,240 Speaker 1: I want to talk about this bill because I think 319 00:17:33,240 --> 00:17:36,480 Speaker 1: of it as like the purest distillation of trump Ism, right, 320 00:17:36,600 --> 00:17:38,159 Speaker 1: like a lot of this shit he said on the 321 00:17:38,200 --> 00:17:41,600 Speaker 1: campaign trail where people are like, you can't actually do 322 00:17:41,760 --> 00:17:45,600 Speaker 1: that is in that bill. So for example, no tax 323 00:17:45,680 --> 00:17:49,000 Speaker 1: on tips that is in that bill. How the fuck 324 00:17:49,040 --> 00:17:51,640 Speaker 1: are you gonna do? No tax on deps? What's the tip? 325 00:17:51,920 --> 00:17:55,480 Speaker 1: What is in everything a tip? Maybe everything's a tip? 326 00:17:55,840 --> 00:17:58,600 Speaker 5: I have absolutely no idea. And then you're in a 327 00:17:58,640 --> 00:18:03,760 Speaker 5: situation where and look, I'm all for servers and bartenders 328 00:18:04,119 --> 00:18:05,119 Speaker 5: making more money. 329 00:18:05,440 --> 00:18:07,320 Speaker 1: That's not what this is though. I mean, it's just 330 00:18:07,520 --> 00:18:11,920 Speaker 1: like I'm a hedgephone manager? Is my you know, if 331 00:18:11,960 --> 00:18:17,440 Speaker 1: I make over a twenty percent return, can my you know, 332 00:18:17,520 --> 00:18:20,160 Speaker 1: can I carried interest be considered a tip? Yeah? 333 00:18:20,200 --> 00:18:22,840 Speaker 3: I don't. Unlike you, Molly I am not an economist, 334 00:18:23,040 --> 00:18:24,040 Speaker 3: so I guess. 335 00:18:24,480 --> 00:18:26,720 Speaker 1: As an economist, I can tell you. 336 00:18:27,880 --> 00:18:28,960 Speaker 3: So I don't understand. 337 00:18:29,200 --> 00:18:33,320 Speaker 1: This is some shit. That's what we're in, Isn't you 338 00:18:33,320 --> 00:18:37,240 Speaker 1: know when I got my degree from Harvard, my economics 339 00:18:37,240 --> 00:18:44,040 Speaker 1: degree from Harboro. Yes, the big beautiful boxom Byzantheum of 340 00:18:44,520 --> 00:18:50,240 Speaker 1: billionaire Bellicost. That bill has in it a lot of 341 00:18:51,040 --> 00:18:53,879 Speaker 1: cuts and the way it gets the cuts to medicaid. 342 00:18:53,960 --> 00:18:56,760 Speaker 1: So remember the top line. I'm going to go back 343 00:18:56,800 --> 00:18:59,920 Speaker 1: to Mike Johnson's when he managed to pass the Sea 344 00:19:00,080 --> 00:19:02,399 Speaker 1: are and not shut down the federal government, which for 345 00:19:02,560 --> 00:19:05,560 Speaker 1: him was like consider you know they they're going to 346 00:19:05,600 --> 00:19:09,359 Speaker 1: pass like three things. Okay, so the cr this and 347 00:19:09,480 --> 00:19:14,120 Speaker 1: maybe they'll name some post offices. When he passed this 348 00:19:14,480 --> 00:19:17,480 Speaker 1: film with the top lines on the on the budget 349 00:19:17,520 --> 00:19:22,879 Speaker 1: were eight hundred and eighty billion from medicaid. Eight hundred 350 00:19:22,880 --> 00:19:24,760 Speaker 1: and eighty billion dollars for medicaid. So the way they're 351 00:19:24,760 --> 00:19:26,240 Speaker 1: going to get there is it going to make it 352 00:19:26,400 --> 00:19:30,200 Speaker 1: harder to get medicaid, so like you're not going to 353 00:19:30,280 --> 00:19:34,080 Speaker 1: be able to call you just like this is elon Musks, 354 00:19:34,080 --> 00:19:36,960 Speaker 1: Like wait, what you know they're going to get rid 355 00:19:37,000 --> 00:19:40,280 Speaker 1: of waste fraud and abuse by making it impossible to 356 00:19:40,280 --> 00:19:41,440 Speaker 1: get the government service. 357 00:19:43,280 --> 00:19:44,160 Speaker 3: Yeah, that's been there. 358 00:19:44,480 --> 00:19:47,160 Speaker 5: Their sort of mo like you said, since the beginning 359 00:19:47,320 --> 00:19:51,199 Speaker 5: of Trump two point zero, is you know, we're going 360 00:19:51,280 --> 00:19:54,600 Speaker 5: to completely get rid of anything we can, and if 361 00:19:54,640 --> 00:19:56,639 Speaker 5: there are things that we can't completely get rid of, 362 00:19:57,080 --> 00:19:59,120 Speaker 5: we're just going to make them. Like like you said, 363 00:19:59,160 --> 00:20:02,399 Speaker 5: we're going to make the process to get those benefits 364 00:20:02,440 --> 00:20:04,880 Speaker 5: so arduous that a lot. 365 00:20:04,680 --> 00:20:06,119 Speaker 3: Of people won't be able to do it. 366 00:20:06,160 --> 00:20:09,440 Speaker 5: And what do you know, it'll be the people probably 367 00:20:09,560 --> 00:20:12,080 Speaker 5: who need it the most. It'll be the elderly, It'll 368 00:20:12,080 --> 00:20:15,919 Speaker 5: be you know, the people who maybe can't afford super 369 00:20:16,000 --> 00:20:18,720 Speaker 5: high speed internet to go online, to try to go 370 00:20:18,800 --> 00:20:22,000 Speaker 5: to you know, SSA, dot gov and places like that. 371 00:20:22,240 --> 00:20:25,960 Speaker 5: This is absolutely what they want to do. It's just 372 00:20:26,080 --> 00:20:30,000 Speaker 5: wild to see that side by side with things like 373 00:20:30,560 --> 00:20:36,120 Speaker 5: raising the no tax floor on the on estate taxes 374 00:20:36,359 --> 00:20:39,320 Speaker 5: to like fifteen I think it's fifteen million for single people, 375 00:20:39,359 --> 00:20:42,080 Speaker 5: thirty million for couples, so you can you can leave, 376 00:20:42,800 --> 00:20:46,400 Speaker 5: if you're a couple and you want to leave money 377 00:20:46,400 --> 00:20:50,119 Speaker 5: to your kids, you can leave thirty million dollars to 378 00:20:50,280 --> 00:20:54,480 Speaker 5: them tax free. And you know, I know for for 379 00:20:54,560 --> 00:20:58,000 Speaker 5: people like you, Molly, the one percent. You know, this 380 00:20:58,080 --> 00:20:59,920 Speaker 5: is the kind of thing that you have been calling 381 00:21:00,160 --> 00:21:03,919 Speaker 5: for for years, if not tickets, but for ordinary for 382 00:21:04,000 --> 00:21:09,320 Speaker 5: hard working Americans like me and the listeners of fast Politics. 383 00:21:09,560 --> 00:21:11,639 Speaker 5: You know, this is a real slap in the face. 384 00:21:12,040 --> 00:21:17,800 Speaker 1: I love you and think you're funny again. Trump had 385 00:21:17,840 --> 00:21:20,240 Speaker 1: this coalition of working glass voters. 386 00:21:20,320 --> 00:21:20,480 Speaker 3: Right. 387 00:21:20,520 --> 00:21:24,440 Speaker 1: Supposely he had gotten these working glass voters to come 388 00:21:24,840 --> 00:21:27,359 Speaker 1: to him because he said to them that he was 389 00:21:27,440 --> 00:21:30,040 Speaker 1: going to fight for them, he was going to get 390 00:21:30,080 --> 00:21:35,639 Speaker 1: them stuff. Those are not people who have parents leaving 391 00:21:35,720 --> 00:21:39,760 Speaker 1: them thirty million dollars. You know, they are not. So 392 00:21:39,840 --> 00:21:43,200 Speaker 1: he is fucking the very people who put him in office. 393 00:21:43,320 --> 00:21:45,520 Speaker 1: Part of the story makes me so upset because I 394 00:21:45,560 --> 00:21:50,800 Speaker 1: think of here are Democrats who maybe there's some level 395 00:21:50,800 --> 00:21:54,959 Speaker 1: of incompetence, maybe there's some level of whatever, but you know, 396 00:21:55,160 --> 00:21:58,320 Speaker 1: ultimately and maybe they're being too much good guys. They 397 00:21:58,320 --> 00:22:01,840 Speaker 1: don't want to fuck over working people. Like it's just 398 00:22:02,520 --> 00:22:06,520 Speaker 1: so simple. One party wants to fuck over working people 399 00:22:07,040 --> 00:22:12,359 Speaker 1: to help crypto people and wealthy people benefit from tax cuts, 400 00:22:12,600 --> 00:22:16,320 Speaker 1: and the other party wants to you know, grow the 401 00:22:16,480 --> 00:22:19,679 Speaker 1: social safety net, give you know, I mean, I just 402 00:22:19,720 --> 00:22:23,399 Speaker 1: remember Bernie Sanders, you know, saying like just wants to 403 00:22:23,440 --> 00:22:27,520 Speaker 1: make it so that glasses are covered by you know 404 00:22:27,760 --> 00:22:30,880 Speaker 1: that kind of thing, the dentist is covered by the things. 405 00:22:31,480 --> 00:22:34,040 Speaker 1: And then you have Donald Trump being like, no, What 406 00:22:34,240 --> 00:22:37,639 Speaker 1: I thought was the sort of single most interesting moment 407 00:22:38,640 --> 00:22:40,840 Speaker 1: the last couple of weeks was Donald Trump said, you know, 408 00:22:40,880 --> 00:22:43,160 Speaker 1: we should have a bracket for people who make over 409 00:22:43,640 --> 00:22:47,560 Speaker 1: two wait five million dollars a year. Okay, so two 410 00:22:47,560 --> 00:22:49,919 Speaker 1: point five million dollars a year. It's one thing to 411 00:22:49,920 --> 00:22:52,760 Speaker 1: be like poor rich two point five million dollars a year. 412 00:22:52,880 --> 00:22:56,000 Speaker 1: Once you make over that you're in a completely different world. Right, 413 00:22:56,200 --> 00:22:59,080 Speaker 1: You're fine, you can pay more fucking tax. 414 00:22:59,400 --> 00:23:01,040 Speaker 3: Right, And he says, you. 415 00:23:01,080 --> 00:23:04,400 Speaker 1: Know, that's a great idea. Again, did there was there 416 00:23:04,480 --> 00:23:06,520 Speaker 1: any world where that was going to happen. No, there 417 00:23:06,560 --> 00:23:09,080 Speaker 1: was zero fucking chance that was ever going to happen. 418 00:23:09,400 --> 00:23:13,199 Speaker 1: But I do think it's worth realizing, like that is 419 00:23:13,320 --> 00:23:17,439 Speaker 1: the winning message. That is the fucking winning message. Tax 420 00:23:17,760 --> 00:23:21,240 Speaker 1: very rich people. People should not you know, you don't 421 00:23:21,240 --> 00:23:23,560 Speaker 1: have to tag them at eighty percent, you can tag 422 00:23:23,600 --> 00:23:27,040 Speaker 1: them at sixty percent, but you should people shod not 423 00:23:27,119 --> 00:23:29,480 Speaker 1: be making one hundred million dollars a year. I mean, 424 00:23:29,520 --> 00:23:31,840 Speaker 1: that's a that's a country, not a person. 425 00:23:32,320 --> 00:23:34,320 Speaker 5: I mean, look, you've even got you know, in the 426 00:23:34,400 --> 00:23:36,320 Speaker 5: last couple of weeks or a month or so, you've 427 00:23:36,359 --> 00:23:39,000 Speaker 5: got people like Steve Bannon going out there and saying 428 00:23:39,320 --> 00:23:42,040 Speaker 5: we should probably tax the rich more. But the point 429 00:23:42,080 --> 00:23:45,760 Speaker 5: is he's you know, an awful human being, right, and 430 00:23:46,480 --> 00:23:51,920 Speaker 5: but he's not stupid, and he sees that just a yeah, 431 00:23:52,000 --> 00:23:55,840 Speaker 5: just from a pure you know, political standpoint, and from 432 00:23:55,880 --> 00:23:58,760 Speaker 5: an electoral standpoint, you don't want to be the party 433 00:23:59,160 --> 00:24:01,919 Speaker 5: of the millionaires and the billionaires. And that is what 434 00:24:01,960 --> 00:24:04,840 Speaker 5: the Republican Party is. Trump has been able, as you noted, 435 00:24:04,880 --> 00:24:08,120 Speaker 5: Trump has been able to fool a lot of people 436 00:24:08,160 --> 00:24:14,199 Speaker 5: who are not willionaires or billionaires twice twice and you 437 00:24:14,280 --> 00:24:16,159 Speaker 5: still hear. You know, we've talked about this on the 438 00:24:16,200 --> 00:24:19,200 Speaker 5: podcast I co host As the World Churns, available wherever 439 00:24:19,280 --> 00:24:21,720 Speaker 5: podcasts are sold and also on YouTube. But we've talked 440 00:24:21,760 --> 00:24:24,159 Speaker 5: about what is it going to take for the people 441 00:24:24,359 --> 00:24:28,600 Speaker 5: who are out there, the working class people, the people 442 00:24:28,640 --> 00:24:31,240 Speaker 5: who are not you know, the one percent or even 443 00:24:31,280 --> 00:24:35,040 Speaker 5: the ten percent, but who continually say things like he 444 00:24:35,200 --> 00:24:37,679 Speaker 5: fights for me. What is it going to take to 445 00:24:37,720 --> 00:24:40,440 Speaker 5: make them realize that he has never fought for you 446 00:24:40,480 --> 00:24:43,119 Speaker 5: a day in your life, and he could not give. 447 00:24:43,480 --> 00:24:45,880 Speaker 3: Less of a shit about you. And I don't know, 448 00:24:46,119 --> 00:24:46,680 Speaker 3: Like I don't. 449 00:24:46,760 --> 00:24:50,119 Speaker 5: I'm not one of those people that thinks it's you know, well, 450 00:24:50,400 --> 00:24:52,240 Speaker 5: Trump is going to crash the economy. He's going to 451 00:24:52,280 --> 00:24:55,320 Speaker 5: do all this, and it's unfortunate. You No, it's necessary. 452 00:24:55,440 --> 00:24:57,760 Speaker 5: We need to happen so that people wake up. I 453 00:24:57,800 --> 00:25:00,240 Speaker 5: don't want that to happen because a lot of people 454 00:25:00,480 --> 00:25:02,560 Speaker 5: who didn't vote for Trump are going to get hurt 455 00:25:03,080 --> 00:25:06,280 Speaker 5: in what's coming, what's already started, and what's going to 456 00:25:06,280 --> 00:25:09,879 Speaker 5: continue to grow. But you do sit there and you think, 457 00:25:10,119 --> 00:25:13,840 Speaker 5: how is this not where everyone realizes Trump doesn't fight 458 00:25:13,920 --> 00:25:16,280 Speaker 5: for them? But I have said that so many times 459 00:25:16,359 --> 00:25:19,919 Speaker 5: in the last you know, eight nine years that I 460 00:25:20,000 --> 00:25:22,040 Speaker 5: have no idea where that line is. I have no 461 00:25:22,080 --> 00:25:23,680 Speaker 5: idea what Trump has to. 462 00:25:23,680 --> 00:25:27,639 Speaker 6: Do for the majority of the people who voted for 463 00:25:27,720 --> 00:25:31,399 Speaker 6: him to realize that not only does he not fight 464 00:25:31,560 --> 00:25:34,919 Speaker 6: for them, he is actively working against them and always 465 00:25:34,920 --> 00:25:35,280 Speaker 6: has been. 466 00:25:35,520 --> 00:25:40,640 Speaker 1: Correct Andy Levy, maybe someday you will come back when 467 00:25:40,680 --> 00:25:41,320 Speaker 1: I can talk. 468 00:25:41,800 --> 00:25:42,520 Speaker 2: I would like that. 469 00:25:42,720 --> 00:25:44,640 Speaker 3: I'm also willing to come back when you can't talk. 470 00:25:46,520 --> 00:25:50,959 Speaker 1: Ned Lamont is the governor of Connecticut. Welcome to fast politics, 471 00:25:51,000 --> 00:25:54,960 Speaker 1: Governor of Lamont, Hey Roley, Governor of Connecticut. You've got 472 00:25:55,000 --> 00:25:59,080 Speaker 1: a federal government that is out of control in a 473 00:25:59,119 --> 00:26:04,640 Speaker 1: lot of ways. We've seen some really amazing pushback from 474 00:26:05,359 --> 00:26:08,400 Speaker 1: there are Blue states governors. I'm thinking about Janet Mills. 475 00:26:08,720 --> 00:26:11,639 Speaker 1: How do you threaut this need all of being a big, 476 00:26:12,359 --> 00:26:15,240 Speaker 1: important state with a lot of people and a lot 477 00:26:15,520 --> 00:26:19,159 Speaker 1: of bonds, but having to sort of work with this 478 00:26:19,240 --> 00:26:20,040 Speaker 1: federal government. 479 00:26:20,240 --> 00:26:22,399 Speaker 3: First. While I love Janet Mills from Maine, I was 480 00:26:22,440 --> 00:26:24,920 Speaker 3: sitting next to her at the White House that day 481 00:26:25,359 --> 00:26:28,240 Speaker 3: mining your own business, seventy years old, ready to retire. 482 00:26:28,720 --> 00:26:31,680 Speaker 3: President Trump looked around, where's that governor Maine and let 483 00:26:31,680 --> 00:26:33,760 Speaker 3: her have it. Said I'm going to see you. She said, 484 00:26:33,800 --> 00:26:36,639 Speaker 3: I'll see you in court. And they paid a price 485 00:26:36,680 --> 00:26:39,000 Speaker 3: for it. The White House has tried to jack they're 486 00:26:39,280 --> 00:26:42,160 Speaker 3: funding a couple of times. So here's how it works 487 00:26:42,200 --> 00:26:45,719 Speaker 3: for a state of Connecticut. I've got a Senator Chris Murphy. 488 00:26:46,000 --> 00:26:48,200 Speaker 3: Every day he's letting the president have it and say 489 00:26:48,240 --> 00:26:51,080 Speaker 3: this is what's in state America. I have an aury 490 00:26:51,160 --> 00:26:54,399 Speaker 3: General William Tongue who every other day brings suit and 491 00:26:54,480 --> 00:26:57,280 Speaker 3: tries to protect some of the resources we're supposed to 492 00:26:57,280 --> 00:27:00,520 Speaker 3: have from the federal government. I, as a governor, maya 493 00:27:00,560 --> 00:27:02,960 Speaker 3: I sort of pick my battles. Let's say I think 494 00:27:03,040 --> 00:27:05,959 Speaker 3: Medicaid is incredibly at risk. If I make it all 495 00:27:06,000 --> 00:27:08,359 Speaker 3: about Trump, I won't get any red steak governors to 496 00:27:08,359 --> 00:27:10,240 Speaker 3: help us out on this. But if I go to 497 00:27:10,520 --> 00:27:13,920 Speaker 3: the red state governors and I say, you're more at 498 00:27:14,000 --> 00:27:16,760 Speaker 3: risk than we are because you're rural hospitals, of which 499 00:27:16,800 --> 00:27:19,280 Speaker 3: there are many more, this is someplace maybe we can 500 00:27:19,359 --> 00:27:22,720 Speaker 3: work together. This is we all worked in our own 501 00:27:22,760 --> 00:27:23,439 Speaker 3: different ways. 502 00:27:23,760 --> 00:27:28,040 Speaker 1: Do governors really work together in a nonpartisan. 503 00:27:27,280 --> 00:27:28,639 Speaker 3: Way in private? 504 00:27:28,720 --> 00:27:28,880 Speaker 4: Yes? 505 00:27:29,000 --> 00:27:32,480 Speaker 3: And public no. I'll be a little less facetious so being. 506 00:27:32,520 --> 00:27:34,800 Speaker 1: It's not fanciass accurate prey true. 507 00:27:34,840 --> 00:27:37,760 Speaker 3: Actually, we work together a lot on a regional basis, 508 00:27:37,960 --> 00:27:40,760 Speaker 3: publicly and privately. But even you know, if you go 509 00:27:40,840 --> 00:27:42,760 Speaker 3: around the country a little more, where you tend to 510 00:27:43,240 --> 00:27:45,639 Speaker 3: break in the different casts privately, there are a lot 511 00:27:45,680 --> 00:27:48,600 Speaker 3: of positive conversations. The governors are pretty good. They know 512 00:27:48,680 --> 00:27:50,520 Speaker 3: what's the right thing to do. But if look, if 513 00:27:50,560 --> 00:27:53,160 Speaker 3: you're a red state, you know republican governor, you got 514 00:27:53,160 --> 00:27:56,520 Speaker 3: to watch out. If you can't risk a primary, they're scared, 515 00:27:56,640 --> 00:27:59,280 Speaker 3: but privately they can fight for their own residents, just 516 00:27:59,320 --> 00:28:00,760 Speaker 3: like we do it all to re aligned. 517 00:28:01,200 --> 00:28:03,160 Speaker 1: What are the things that are really affecting your day 518 00:28:03,200 --> 00:28:05,880 Speaker 1: to day sort of running your state? Like I think 519 00:28:05,920 --> 00:28:08,720 Speaker 1: of Trump's war on fema, like, is that something that's 520 00:28:08,760 --> 00:28:11,560 Speaker 1: affecting you? Is that something that you're watching and what 521 00:28:11,720 --> 00:28:13,679 Speaker 1: are the parts of it that are affecting you. 522 00:28:14,119 --> 00:28:16,159 Speaker 3: First of all, Dose says they're going to get rid 523 00:28:16,200 --> 00:28:18,840 Speaker 3: of waste, fraud and abuse. I think those was a fraud. 524 00:28:19,080 --> 00:28:21,800 Speaker 3: I really they're going to go after sort of medicaid 525 00:28:21,840 --> 00:28:24,360 Speaker 3: abuses and upcoting in a lot of ways that they 526 00:28:24,359 --> 00:28:27,639 Speaker 3: should go after these. They didn't do that. They just 527 00:28:27,680 --> 00:28:30,040 Speaker 3: want to shove costs down to the state and that 528 00:28:30,119 --> 00:28:32,520 Speaker 3: in terms of Medicaid you mentioned that. In terms of FEMA, 529 00:28:32,960 --> 00:28:36,480 Speaker 3: snap benefits very much. You know, look at the Republican bill. 530 00:28:36,760 --> 00:28:40,000 Speaker 3: They're not saving anybody any money. They're not doing anything 531 00:28:40,040 --> 00:28:43,080 Speaker 3: more efficiently. All they're doing is saying, govers, you figure 532 00:28:43,080 --> 00:28:44,080 Speaker 3: out how to pay for it. 533 00:28:44,440 --> 00:28:46,960 Speaker 1: Do you think it's it's funny because I think I 534 00:28:47,000 --> 00:28:50,840 Speaker 1: think of you and Annie as coming from VC world, 535 00:28:51,080 --> 00:28:54,280 Speaker 1: right Bench capital World and my father in law came 536 00:28:54,320 --> 00:28:56,880 Speaker 1: from VC world, and my father in law was one 537 00:28:56,880 --> 00:28:59,720 Speaker 1: of the first bench capitalists, right, I mean very early. 538 00:29:00,680 --> 00:29:02,320 Speaker 1: And one of the things they did was they wanted 539 00:29:02,360 --> 00:29:04,360 Speaker 1: to grow the country. They wanted to grow businesses, they 540 00:29:04,360 --> 00:29:06,120 Speaker 1: wanted to go to the country, and they were very 541 00:29:06,120 --> 00:29:09,000 Speaker 1: philanthropic and involved in sort of being on the right 542 00:29:09,040 --> 00:29:11,680 Speaker 1: side of things. There are a new crop of vcs 543 00:29:11,760 --> 00:29:15,000 Speaker 1: and Elon is very much aligned with this where it's 544 00:29:15,040 --> 00:29:18,520 Speaker 1: a completely different value system. What do you make of that? 545 00:29:19,160 --> 00:29:22,479 Speaker 3: Look, I'm a pro growth democrat, and I think that 546 00:29:22,560 --> 00:29:24,840 Speaker 3: we were an economy here at Connecticut that was slow 547 00:29:24,880 --> 00:29:27,040 Speaker 3: growth for a long time. We paid a price for that. 548 00:29:27,400 --> 00:29:30,560 Speaker 3: Now we're growing. I don't do it by recruiting great, 549 00:29:30,600 --> 00:29:34,120 Speaker 3: big companies. I do it by starting hundreds of small businesses, 550 00:29:34,160 --> 00:29:37,040 Speaker 3: even smaller than the businesses your father in law was 551 00:29:37,480 --> 00:29:40,560 Speaker 3: involved in. But I think you're right. Everybody who's gotten 552 00:29:40,600 --> 00:29:44,000 Speaker 3: a lot more transactional and mercenary started with the tech 553 00:29:44,040 --> 00:29:47,480 Speaker 3: bros out there in Silicon Valley. Their maunder used to 554 00:29:47,560 --> 00:29:49,360 Speaker 3: be doing no harm. Now it seems to be how 555 00:29:49,360 --> 00:29:51,280 Speaker 3: can I get a little bit richer? And they're all 556 00:29:51,320 --> 00:29:54,760 Speaker 3: suing each other and claiming monopoly and it's not the 557 00:29:54,840 --> 00:29:57,960 Speaker 3: innovative economy that has made America special for the last 558 00:29:57,960 --> 00:30:01,560 Speaker 3: fifty years. Little credit. Elon mu is an amazing entrepreneur. 559 00:30:01,640 --> 00:30:04,680 Speaker 3: I mean, look what he's done in space and evs 560 00:30:04,760 --> 00:30:07,080 Speaker 3: and as such. But you got to focus on what 561 00:30:07,160 --> 00:30:09,640 Speaker 3: you do, right. I think him getting in trying to 562 00:30:09,680 --> 00:30:12,440 Speaker 3: say God is really simple to cut two trillion dollars 563 00:30:12,440 --> 00:30:14,680 Speaker 3: out of our federal budget. Look where we are today. 564 00:30:14,760 --> 00:30:17,800 Speaker 3: I mean they're about to pass a reconciliation build the 565 00:30:17,840 --> 00:30:21,280 Speaker 3: Republicans that make, you know, through their drivers into bankruptcy 566 00:30:21,320 --> 00:30:23,680 Speaker 3: as a country. They're worried about Woke. I'm worried about 567 00:30:23,720 --> 00:30:25,400 Speaker 3: his going broke. That's what they're doing. 568 00:30:25,600 --> 00:30:29,640 Speaker 1: Let's talk about your smartphone legislation. Because I have a 569 00:30:29,640 --> 00:30:32,680 Speaker 1: lot of children. You know, everybody's got something going on. 570 00:30:32,760 --> 00:30:35,640 Speaker 1: But one of my kids went on to the student 571 00:30:35,680 --> 00:30:40,320 Speaker 1: council and he started trying to legislate against cell phones 572 00:30:40,480 --> 00:30:43,520 Speaker 1: because he thinks that it's turning people into zombies. Now, 573 00:30:43,720 --> 00:30:46,600 Speaker 1: they did try to impeach him, but he did survive 574 00:30:47,120 --> 00:30:49,920 Speaker 1: the impeachment. I'm just telling the story to show the 575 00:30:50,000 --> 00:30:54,920 Speaker 1: headwinds that you see when you try to legislate technology. 576 00:30:55,200 --> 00:30:56,520 Speaker 1: Talk to me about this. 577 00:30:57,120 --> 00:30:59,560 Speaker 3: I got into this two years ago. I said, a 578 00:30:59,680 --> 00:31:03,240 Speaker 3: smart our phones make you stupid, especially if in the classroom, 579 00:31:03,240 --> 00:31:07,320 Speaker 3: an incredible distraction, creating a lot of performance fighting and 580 00:31:07,360 --> 00:31:10,200 Speaker 3: things in the hallways. And I said, get them out 581 00:31:10,200 --> 00:31:13,440 Speaker 3: of the classroom. I'd say they're out of ninety plus 582 00:31:13,480 --> 00:31:17,520 Speaker 3: percent of our K through eight classrooms right now. Then 583 00:31:17,560 --> 00:31:21,160 Speaker 3: I had anxious generation come and they said, not good enough. 584 00:31:21,200 --> 00:31:23,440 Speaker 3: Out of the classroom. You want them out of the schools. 585 00:31:23,480 --> 00:31:25,760 Speaker 3: You want to have at least eight hours a day 586 00:31:25,800 --> 00:31:27,960 Speaker 3: where the kids are with each other and focused on 587 00:31:28,040 --> 00:31:30,920 Speaker 3: each other. And we're making real progress there as well. 588 00:31:31,080 --> 00:31:31,400 Speaker 4: And mother. 589 00:31:31,520 --> 00:31:34,360 Speaker 3: Look, there was a lot of pushback. The parents were upset, Hey, 590 00:31:34,400 --> 00:31:37,160 Speaker 3: I won't be able to stay in contact with booboo 591 00:31:37,600 --> 00:31:40,440 Speaker 3: all day long. And that's okay. We worked it out 592 00:31:40,480 --> 00:31:43,320 Speaker 3: so they can call the central office. Some of the students, 593 00:31:43,360 --> 00:31:46,440 Speaker 3: as your older students, said, look, you've got to respect us. 594 00:31:46,720 --> 00:31:49,400 Speaker 3: We've got to know how to manage this ourselves. But 595 00:31:49,520 --> 00:31:52,480 Speaker 3: certainly in K through eight it's working in After a week, 596 00:31:52,560 --> 00:31:54,200 Speaker 3: the students say, I kind of like it. 597 00:31:54,400 --> 00:31:57,160 Speaker 1: So let's talk about pre K because that's another thing 598 00:31:57,680 --> 00:32:01,360 Speaker 1: really important for any number of reasons, mostly because it 599 00:32:01,440 --> 00:32:04,800 Speaker 1: gets people to school on out of poverty and families. 600 00:32:05,440 --> 00:32:08,440 Speaker 1: What are you doing for pre K. It's expensive, it's 601 00:32:08,480 --> 00:32:11,640 Speaker 1: hard to manage in a big state. So explain to 602 00:32:11,680 --> 00:32:12,560 Speaker 1: us what you're doing there. 603 00:32:12,840 --> 00:32:16,160 Speaker 3: So we're doing the biggest expansion of our early childhood ever. 604 00:32:16,560 --> 00:32:19,000 Speaker 3: We're going to make sure it's free for all families 605 00:32:19,080 --> 00:32:21,120 Speaker 3: earning less thane hundred thousand dollars. We're not going to 606 00:32:21,160 --> 00:32:23,120 Speaker 3: do it tomorrow, but we'll get there over the next 607 00:32:23,440 --> 00:32:26,840 Speaker 3: three or four years. Really hopeful about that. Look, there 608 00:32:26,880 --> 00:32:29,760 Speaker 3: are very few things I do may like virtually nothing 609 00:32:30,200 --> 00:32:36,000 Speaker 3: where business, labor, young families, liberals all are aligned. Early 610 00:32:36,120 --> 00:32:39,520 Speaker 3: childhood is one of those places business licen because it 611 00:32:39,520 --> 00:32:43,440 Speaker 3: helps mom and dad get back to work. I love 612 00:32:43,440 --> 00:32:45,680 Speaker 3: it because it gives kids the very best head start 613 00:32:45,720 --> 00:32:49,280 Speaker 3: in life. Every kindergarten teacher I talk to says, I 614 00:32:49,320 --> 00:32:52,560 Speaker 3: can tell that kid became from a early quality early 615 00:32:52,640 --> 00:32:56,479 Speaker 3: childhood program. Parents honestly love it because they can't afford it. 616 00:32:56,800 --> 00:32:59,080 Speaker 3: So it's one place where we actually have consensus. 617 00:32:59,360 --> 00:33:04,440 Speaker 1: Yeah, I wonder if you can sort of talk us 618 00:33:04,520 --> 00:33:10,000 Speaker 1: through this idea that sort of doing more for education 619 00:33:10,600 --> 00:33:12,440 Speaker 1: helps the state it's probably. 620 00:33:12,160 --> 00:33:14,360 Speaker 3: Our best calling card. I'll just give you an example. 621 00:33:14,400 --> 00:33:17,120 Speaker 3: I mean when I visit India, which I just did 622 00:33:17,120 --> 00:33:20,520 Speaker 3: on a trade mission, and I boast about our location 623 00:33:20,840 --> 00:33:24,200 Speaker 3: and housing, and you know, they say, I understand you 624 00:33:24,240 --> 00:33:27,200 Speaker 3: have a really good education system. That's very important for us. 625 00:33:27,240 --> 00:33:30,440 Speaker 3: That's the reason why perhaps we want to relocate some 626 00:33:30,560 --> 00:33:32,960 Speaker 3: people here. It's one of our calling cards. When a 627 00:33:33,000 --> 00:33:36,160 Speaker 3: business comes there, they often talk about the schools. You 628 00:33:36,200 --> 00:33:39,320 Speaker 3: think they're talking about taxes or labor or something like that. 629 00:33:39,600 --> 00:33:41,920 Speaker 3: You often talk about the schools because we have some 630 00:33:41,960 --> 00:33:44,000 Speaker 3: of the best in the country, and that's one of 631 00:33:44,000 --> 00:33:45,880 Speaker 3: our calling cards. Makes a big difference. 632 00:33:46,400 --> 00:33:50,240 Speaker 1: Trade. We have these tariffs. They're coming down the pike again. 633 00:33:50,720 --> 00:33:52,880 Speaker 1: We were in a moment with China where it was 634 00:33:52,960 --> 00:33:56,560 Speaker 1: really like a mutual destruction. Now he's brought the tariffs down, 635 00:33:56,600 --> 00:33:59,080 Speaker 1: but it's still going to have big effects. You know. 636 00:33:59,120 --> 00:34:01,360 Speaker 1: We have all these stories about the trade was way 637 00:34:01,440 --> 00:34:03,960 Speaker 1: down in the Port of Long Beach and I feel 638 00:34:03,960 --> 00:34:06,000 Speaker 1: a lot of anxiety. And maybe it's because I've just 639 00:34:06,080 --> 00:34:09,840 Speaker 1: heard Paul Voker speak too many times about this idea 640 00:34:10,000 --> 00:34:14,080 Speaker 1: that we may get caught in this stuyflation moment. Are 641 00:34:14,080 --> 00:34:17,279 Speaker 1: you seeing that on the ground in Connecticut. Are you 642 00:34:17,360 --> 00:34:20,759 Speaker 1: not and can you do anything to protect these small businesses? 643 00:34:21,320 --> 00:34:24,799 Speaker 3: The rollout of the Trump tariff strategy was an absolute, 644 00:34:24,920 --> 00:34:28,520 Speaker 3: unmitigated disaster. The one thing we need is coming out 645 00:34:28,520 --> 00:34:30,560 Speaker 3: of the business world, there's a little bit of certainty. 646 00:34:30,640 --> 00:34:33,080 Speaker 3: I'm not going to invest one hundred million dollars a 647 00:34:33,120 --> 00:34:35,520 Speaker 3: twenty year investment. Why don't they know what the world's 648 00:34:35,560 --> 00:34:37,800 Speaker 3: going to look like in twenty days? And that's what 649 00:34:38,120 --> 00:34:42,439 Speaker 3: hurky jerky tariff proposal did. I will say we've done 650 00:34:42,480 --> 00:34:44,960 Speaker 3: sort of a round tripper, and after we lose two 651 00:34:45,080 --> 00:34:48,560 Speaker 3: trillion dollars of market value, the markets are coming back 652 00:34:48,600 --> 00:34:51,439 Speaker 3: as Donald Trump brings down the tariffs more or less 653 00:34:51,480 --> 00:34:54,400 Speaker 3: to where they were before and more focused on China, 654 00:34:54,520 --> 00:34:57,680 Speaker 3: less focused on our allies. First state of Connecticut. Yeah, 655 00:34:57,680 --> 00:34:59,719 Speaker 3: it was a bit of a hiccup. Our sales tax 656 00:34:59,800 --> 00:35:03,080 Speaker 3: r not as much as we hope before. We'll see 657 00:35:03,080 --> 00:35:07,040 Speaker 3: whether things that stabilize now, Bratt Whitney, they make gen engines. 658 00:35:07,120 --> 00:35:10,920 Speaker 3: Let's say they bring in five billion dollars apart from Canada. 659 00:35:11,000 --> 00:35:13,080 Speaker 3: Are they going to be subject to the terroriffs? Yes 660 00:35:13,120 --> 00:35:16,400 Speaker 3: they are, No, they're not. That uncertainty is hell for 661 00:35:16,800 --> 00:35:17,720 Speaker 3: economic growth. 662 00:35:17,960 --> 00:35:21,319 Speaker 1: Yeah, I mean that's a real question. And I wonder too, 663 00:35:21,760 --> 00:35:24,920 Speaker 1: is the administration working on cutouts with Canada for stuff 664 00:35:24,920 --> 00:35:26,400 Speaker 1: like parts and manufacturing? 665 00:35:26,920 --> 00:35:30,000 Speaker 3: Yes, this is a great time to be a lobbyist 666 00:35:30,120 --> 00:35:32,560 Speaker 3: down there. And why should you see the swamp? There 667 00:35:32,640 --> 00:35:35,279 Speaker 3: must be thousands of them just doing carve outs just 668 00:35:35,320 --> 00:35:36,600 Speaker 3: for tariffs right now. 669 00:35:37,040 --> 00:35:40,920 Speaker 1: Yeah, and that's true when it comes to some of 670 00:35:40,960 --> 00:35:45,640 Speaker 1: the regulation of other instruments like bitcoin too. 671 00:35:45,640 --> 00:35:48,759 Speaker 3: Right, absolutely, don't you think it's shocking. I'm going to 672 00:35:48,920 --> 00:35:52,600 Speaker 3: set up the Lamont Bitcoin and if you spend a 673 00:35:52,640 --> 00:35:54,640 Speaker 3: million dollars, you can come and have a dinner with 674 00:35:54,680 --> 00:35:56,600 Speaker 3: me and I won't tell anybody who it is. I mean, 675 00:35:56,840 --> 00:35:58,759 Speaker 3: it just shocking the way they're playing this game. 676 00:36:00,000 --> 00:36:03,439 Speaker 1: Shocking, but it is also this is who they are. Right. 677 00:36:03,880 --> 00:36:07,399 Speaker 1: How worried are you about ice has been popping up 678 00:36:07,440 --> 00:36:12,360 Speaker 1: in Massachusetts disappearing grad students. We haven't seen that in Connecticut. 679 00:36:12,600 --> 00:36:15,520 Speaker 1: How worried are you about that? And what can you 680 00:36:15,560 --> 00:36:16,480 Speaker 1: do to prevent it? 681 00:36:16,800 --> 00:36:21,120 Speaker 3: Am terrified? Be my hispanic students talk about schools again? 682 00:36:21,160 --> 00:36:24,359 Speaker 3: Are terrified? Many fewer of them to school today than 683 00:36:24,400 --> 00:36:26,799 Speaker 3: they were even a year ago. And that's when we 684 00:36:26,800 --> 00:36:29,879 Speaker 3: were coming out of COVID, so it's terrible. They're really 685 00:36:29,920 --> 00:36:34,240 Speaker 3: going after Massa. Juss particular, Boston very loud. Sex City 686 00:36:34,719 --> 00:36:37,399 Speaker 3: just a little louder about where they are. I think 687 00:36:37,440 --> 00:36:39,680 Speaker 3: on the issues Connecticut we're a little dull. We're a 688 00:36:39,719 --> 00:36:42,880 Speaker 3: little quieter, our heads down a bit. I don't go 689 00:36:42,960 --> 00:36:45,120 Speaker 3: out of my way to pick a fight. Like I said, 690 00:36:45,440 --> 00:36:47,440 Speaker 3: I have a DEI officer, but if you want me 691 00:36:47,480 --> 00:36:49,680 Speaker 3: to call her the opportunity officer, I'll do that if 692 00:36:49,719 --> 00:36:51,759 Speaker 3: it makes you feel better. But she's going to keep 693 00:36:51,760 --> 00:36:55,200 Speaker 3: doing exactly what she's doing, even more diligently. They're coming 694 00:36:55,200 --> 00:36:58,360 Speaker 3: in here too. They just hauled away a young guy 695 00:36:58,400 --> 00:37:01,520 Speaker 3: going through the normal process that immigration court. The other day, 696 00:37:01,880 --> 00:37:04,160 Speaker 3: Free Ice guys came in taser them. You were the 697 00:37:04,200 --> 00:37:07,279 Speaker 3: shouts coming in from the courthouse. And how much you 698 00:37:07,320 --> 00:37:10,480 Speaker 3: can do about that? We're at risk because this is 699 00:37:10,600 --> 00:37:13,960 Speaker 3: federal buildings. I will. But how I play it though, 700 00:37:14,000 --> 00:37:17,319 Speaker 3: which is we're getting criminals off the street. I work 701 00:37:17,400 --> 00:37:20,839 Speaker 3: with DAFBI ice whoever it is to get criminals off 702 00:37:20,880 --> 00:37:24,360 Speaker 3: the street, whatever their documentation. But I don't sit around 703 00:37:24,360 --> 00:37:27,360 Speaker 3: when I have guys who are jaywalking, is shoplifting or 704 00:37:27,400 --> 00:37:29,880 Speaker 3: speeding things like that. We're just trying to keep the 705 00:37:29,880 --> 00:37:32,520 Speaker 3: place safe. I'm not getting in the immigration there, so 706 00:37:32,960 --> 00:37:34,759 Speaker 3: there's no way we can play with ICE on that. 707 00:37:34,840 --> 00:37:36,719 Speaker 3: We just don't have that information, nor are we going 708 00:37:36,800 --> 00:37:37,200 Speaker 3: to get it. 709 00:37:37,480 --> 00:37:41,320 Speaker 1: You have one of the greatest universities in your state 710 00:37:41,640 --> 00:37:44,160 Speaker 1: when my husband went, one of the great and it 711 00:37:44,239 --> 00:37:47,680 Speaker 1: has one of the great hospitals. Yale New Haven Hospital 712 00:37:47,719 --> 00:37:51,480 Speaker 1: is one of where I participated in the COVID vaccine trial. 713 00:37:51,920 --> 00:37:54,960 Speaker 1: But it's also the major major employer in the state. 714 00:37:55,200 --> 00:37:57,360 Speaker 1: So I'm wondering if you could talk about these NIH 715 00:37:57,600 --> 00:38:01,320 Speaker 1: grant whatever is happening there with the administration trying to 716 00:38:01,360 --> 00:38:05,040 Speaker 1: take money away from the university. I know it's complicated 717 00:38:05,040 --> 00:38:08,160 Speaker 1: and multi layered, but there certainly are capping. There's capping 718 00:38:08,160 --> 00:38:11,520 Speaker 1: on indirect grants. There's a lot of sort of financial 719 00:38:11,560 --> 00:38:15,080 Speaker 1: fuckery going on with the federal government trying to punish 720 00:38:15,080 --> 00:38:20,759 Speaker 1: these institutions for whatever crime's real but mostly imagined. Talk 721 00:38:20,800 --> 00:38:24,160 Speaker 1: to me about where the university is and the hospital 722 00:38:24,280 --> 00:38:28,399 Speaker 1: and the research facilities are in the federal government and 723 00:38:28,560 --> 00:38:29,640 Speaker 1: sort of what that looks like. 724 00:38:30,040 --> 00:38:34,520 Speaker 3: I thought probably that Republicans opposed big government and supported 725 00:38:34,600 --> 00:38:38,120 Speaker 3: freedom of speech and academic independence. Instead, we have big 726 00:38:38,160 --> 00:38:40,719 Speaker 3: government coming in putting a boot on the throat of 727 00:38:40,800 --> 00:38:45,360 Speaker 3: some of our best research universities. Again, Harvard up in Massachusetts, 728 00:38:45,360 --> 00:38:48,200 Speaker 3: part of Boston. We're going after them a lot harder 729 00:38:48,200 --> 00:38:51,160 Speaker 3: than they are Yale and some of our research universities 730 00:38:51,200 --> 00:38:54,040 Speaker 3: here at Connecticut. What is the dumbest thing you can do? 731 00:38:54,320 --> 00:38:57,879 Speaker 3: France and other countries have created a research funds. They're 732 00:38:57,920 --> 00:39:00,960 Speaker 3: going after the very best from the brightest of our researchers, 733 00:39:00,960 --> 00:39:03,239 Speaker 3: saying you don't have the freedom to do it at Yale. 734 00:39:03,239 --> 00:39:04,800 Speaker 3: If you don't have the freedom to do it at Yukon, 735 00:39:05,239 --> 00:39:08,279 Speaker 3: come to Canada, come to Europe, come to China. Think 736 00:39:08,320 --> 00:39:11,080 Speaker 3: of the AI smart people that are going to China. 737 00:39:11,400 --> 00:39:15,239 Speaker 3: You know, we're fighting, we're widget factories here in Connecticut 738 00:39:15,360 --> 00:39:17,960 Speaker 3: or America, and we're losing the next generation of AI 739 00:39:18,120 --> 00:39:19,240 Speaker 3: talent to our enemies. 740 00:39:19,640 --> 00:39:22,440 Speaker 1: Yeah. Do you think that ultimately some of that money 741 00:39:22,640 --> 00:39:24,799 Speaker 1: is going to be unfrozen and it will go back 742 00:39:24,840 --> 00:39:26,440 Speaker 1: to the way it was supposed to be or do 743 00:39:26,440 --> 00:39:27,640 Speaker 1: you not have insight yet? 744 00:39:27,800 --> 00:39:31,040 Speaker 3: I think only because they pull all the funding for 745 00:39:31,360 --> 00:39:34,200 Speaker 3: public health clinics, then the money comes back. But there's 746 00:39:34,200 --> 00:39:37,479 Speaker 3: something a little more cultural about going after the Ivy League. 747 00:39:37,640 --> 00:39:39,799 Speaker 3: It's not about the money. I just think they want 748 00:39:39,840 --> 00:39:41,360 Speaker 3: to pop the elites in the nose. 749 00:39:41,800 --> 00:39:44,920 Speaker 1: There's a lot of drama in the bond market right now. 750 00:39:45,239 --> 00:39:47,960 Speaker 1: Right there, we're at this moment where there's a real 751 00:39:48,040 --> 00:39:50,920 Speaker 1: question about the level of debt that the federal government 752 00:39:51,000 --> 00:39:54,520 Speaker 1: has and servicing that debt, and what it is doing 753 00:39:54,680 --> 00:39:58,200 Speaker 1: to the larger financial picture of the country. Among the 754 00:39:58,200 --> 00:40:01,120 Speaker 1: things that you worry about personally, you know, I go 755 00:40:01,239 --> 00:40:03,520 Speaker 1: to sleep, bring about democracy, but I also worry about 756 00:40:03,520 --> 00:40:06,800 Speaker 1: five other things. Where is dollar flight on your level 757 00:40:06,840 --> 00:40:07,720 Speaker 1: of anxiety? 758 00:40:07,920 --> 00:40:10,400 Speaker 3: Well, I'm a Connecticut governor, so I probably are a 759 00:40:10,440 --> 00:40:12,799 Speaker 3: little more potholes oriented here in my state. 760 00:40:13,000 --> 00:40:15,320 Speaker 1: Yes, it is really dangerous, Molly. 761 00:40:15,480 --> 00:40:18,959 Speaker 3: I mean day China can say I'm gonna stop buying 762 00:40:18,960 --> 00:40:21,720 Speaker 3: American bonds and then you have a flight on the dollar, 763 00:40:22,080 --> 00:40:25,160 Speaker 3: and then you see not only as their credit rating collapse, 764 00:40:25,440 --> 00:40:27,640 Speaker 3: but we have no way to refund what we've got 765 00:40:27,640 --> 00:40:30,160 Speaker 3: to do to keep our government going. They've made us 766 00:40:30,360 --> 00:40:33,200 Speaker 3: much weaker and much more vulnerable by playing these games 767 00:40:33,200 --> 00:40:36,720 Speaker 3: with the deficit. Is if deficits don't matter, they do matter. 768 00:40:36,960 --> 00:40:40,479 Speaker 3: This Republican build these so called physical conservatives. You're about 769 00:40:40,560 --> 00:40:43,120 Speaker 3: to pass a bill that's going to create another three 770 00:40:43,200 --> 00:40:46,480 Speaker 3: trillion dollars in deficit over the next years. Moodys is 771 00:40:46,480 --> 00:40:48,919 Speaker 3: looking at that. Investors all over the world are looking 772 00:40:48,960 --> 00:40:51,680 Speaker 3: at that and putting America much more risk. That's part 773 00:40:51,719 --> 00:40:52,960 Speaker 3: of what stagflation is. 774 00:40:53,239 --> 00:40:56,080 Speaker 1: Yeah, tell us sort of what you're excited about that's 775 00:40:56,080 --> 00:40:57,040 Speaker 1: happening in your state. 776 00:40:57,200 --> 00:40:59,640 Speaker 3: Here's what I'm excited about, Malli. All that noise for 777 00:40:59,719 --> 00:41:03,239 Speaker 3: why intends to dominate the conversation and well with us. 778 00:41:03,480 --> 00:41:06,720 Speaker 3: But fundamentally, I think, as I just told the Trinity 779 00:41:06,760 --> 00:41:09,279 Speaker 3: graduate spoke there the other day, this is not the 780 00:41:09,280 --> 00:41:12,279 Speaker 3: Middle Ages. You're graduating into the Renaissance. The same way 781 00:41:12,280 --> 00:41:16,640 Speaker 3: that I was transformed for my generation, artificial intelligence will 782 00:41:16,680 --> 00:41:19,759 Speaker 3: be TRANSFORMEDI for you. It's a great time to be graduating. 783 00:41:19,960 --> 00:41:21,880 Speaker 3: And by the way, you're going to know more about 784 00:41:21,920 --> 00:41:24,240 Speaker 3: AI than your boss, so you hit the grave running. 785 00:41:24,320 --> 00:41:27,160 Speaker 3: That's a good place to be. My old businesses like 786 00:41:27,280 --> 00:41:30,640 Speaker 3: insurance we have here with life sciences at Yale, and fintech, 787 00:41:30,920 --> 00:41:33,719 Speaker 3: they're all going to be transformed by AI. That's what 788 00:41:33,760 --> 00:41:36,239 Speaker 3: I'm excited about. That's the old private sector guy in 789 00:41:36,360 --> 00:41:37,160 Speaker 3: me talking. 790 00:41:37,239 --> 00:41:39,960 Speaker 1: Thank you, thank you, thank you, Governor lamont I. Hope 791 00:41:39,960 --> 00:41:40,560 Speaker 1: you'll come back. 792 00:41:40,719 --> 00:41:42,400 Speaker 3: See you so min like great to see you again. 793 00:41:44,520 --> 00:41:50,239 Speaker 2: No, no moment, Jesse Canon Smiley. Right as we were 794 00:41:50,239 --> 00:41:55,160 Speaker 2: making our last episode, Trump did this absolutely Banana's press 795 00:41:55,200 --> 00:41:59,960 Speaker 2: conference with South African President Ramafosa. And you'll be shocked 796 00:42:00,160 --> 00:42:03,040 Speaker 2: to hear that when he showed this ridiculous movie that 797 00:42:03,160 --> 00:42:07,400 Speaker 2: promoted white genocide, that there is a whole bunch of bullshit. 798 00:42:07,000 --> 00:42:11,080 Speaker 1: In Yeah, I'm shocked the images of the white farmers, 799 00:42:11,239 --> 00:42:14,359 Speaker 1: which is so he played this video of like all 800 00:42:14,400 --> 00:42:18,960 Speaker 1: of the sort of fevered swamp of right wing fantasy 801 00:42:19,040 --> 00:42:22,640 Speaker 1: about what was happening in South Africa, and the images 802 00:42:22,680 --> 00:42:27,480 Speaker 1: of dead white farmers actually came from not South Africa. Yep, 803 00:42:27,880 --> 00:42:32,040 Speaker 1: that's right. It came from the Congo, which is not 804 00:42:32,160 --> 00:42:35,359 Speaker 1: in South Africa. You will be shocked to hear that 805 00:42:35,440 --> 00:42:37,759 Speaker 1: the Congo is not The video was taken from the 806 00:42:37,760 --> 00:42:41,640 Speaker 1: Democratic Republic of Congo as part of what Reuters and 807 00:42:41,680 --> 00:42:45,279 Speaker 1: then these were Routers videos from Congo, and then he 808 00:42:45,400 --> 00:42:50,279 Speaker 1: presented them as evidence of mass killings of white South 809 00:42:50,320 --> 00:42:54,280 Speaker 1: Africans in South Africa. So again, this is a president 810 00:42:54,280 --> 00:42:57,600 Speaker 1: of the United States bringing another president to the Oval 811 00:42:57,640 --> 00:43:01,600 Speaker 1: office and showing them things that aren't through and being 812 00:43:01,640 --> 00:43:04,320 Speaker 1: mad at them for things he thinks are happening in 813 00:43:04,360 --> 00:43:07,960 Speaker 1: their country that aren't. Again, I understand that a lot 814 00:43:07,960 --> 00:43:11,200 Speaker 1: of Trump World operates in a post truth environment, but 815 00:43:11,320 --> 00:43:13,680 Speaker 1: the rest of the world does not. So the rest 816 00:43:13,680 --> 00:43:16,440 Speaker 1: of the world understands that we are being held osage 817 00:43:16,520 --> 00:43:19,319 Speaker 1: by a madman. And I think it's worth remembering that 818 00:43:19,680 --> 00:43:21,839 Speaker 1: the rest of the world sees what's going on and 819 00:43:21,880 --> 00:43:26,160 Speaker 1: they are not involved in whatever weirdness we have gotten 820 00:43:26,200 --> 00:43:30,560 Speaker 1: stuck in. So it's something. That's it for this episode 821 00:43:30,560 --> 00:43:36,640 Speaker 1: of Fast Politics. Tune in every Monday, Wednesday, Thursday and 822 00:43:36,960 --> 00:43:40,920 Speaker 1: Saturday to hear the best minds and politics make sense 823 00:43:40,960 --> 00:43:45,320 Speaker 1: of all this chaos. If you enjoy this podcast, please 824 00:43:45,360 --> 00:43:48,400 Speaker 1: send it to a friend and keep the conversation going. 825 00:43:48,880 --> 00:43:50,040 Speaker 1: Thanks for listening.