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 --> 00:00:12,799 Speaker 1: today's best minds. And Attorney General Pam Bondi has shuddered 4 00:00:12,960 --> 00:00:17,239 Speaker 1: the FBI's Foreign Interference Act. They just don't want to 5 00:00:17,280 --> 00:00:20,279 Speaker 1: know about it. We have such a great show for 6 00:00:20,360 --> 00:00:23,640 Speaker 1: you today. The Lincoln Project's own Rick Wilson joins us 7 00:00:23,640 --> 00:00:28,520 Speaker 1: to discuss Trump's voters learning about his agenda in real time. 8 00:00:29,000 --> 00:00:34,320 Speaker 1: Then we'll talk to more perfect unions. Josh Miller lewis 9 00:00:34,479 --> 00:00:39,760 Speaker 1: about the lobbying firm funneling massive influence into Donald Trump's 10 00:00:39,760 --> 00:00:41,599 Speaker 1: White House. But first the. 11 00:00:41,600 --> 00:00:47,040 Speaker 2: News Smiley federal employees say they had to justify their 12 00:00:47,080 --> 00:00:51,640 Speaker 2: existence to Doege College freshmen in fifteen minute interviews. This 13 00:00:51,760 --> 00:00:54,840 Speaker 2: is a common thing when private equity comes in. I 14 00:00:54,840 --> 00:00:58,040 Speaker 2: remember there was this documentary about when Bain came to town, 15 00:00:58,600 --> 00:01:01,240 Speaker 2: you know, and McKinsey time that this is what they do. 16 00:01:01,400 --> 00:01:01,560 Speaker 1: End. 17 00:01:01,640 --> 00:01:01,960 Speaker 3: Uh. 18 00:01:02,040 --> 00:01:04,840 Speaker 2: Well, we're now seeing that culture spread to the US government. 19 00:01:05,240 --> 00:01:07,920 Speaker 1: Yeah. Elon has decided that he is going to make 20 00:01:07,959 --> 00:01:10,440 Speaker 1: the government efficient. I want to pause for a minute 21 00:01:10,440 --> 00:01:14,360 Speaker 1: and just talk about efficiency. What is efficiency? So efficiency 22 00:01:14,880 --> 00:01:20,479 Speaker 1: is in Elon Musk's mind. What he did to X right, 23 00:01:20,640 --> 00:01:23,119 Speaker 1: he took out the things, the bells and whistles, the 24 00:01:23,120 --> 00:01:26,000 Speaker 1: things that he felt didn't add to it. So now 25 00:01:26,040 --> 00:01:29,280 Speaker 1: you get spam and now you sometimes the messages go down, 26 00:01:29,319 --> 00:01:31,920 Speaker 1: but you know it ultimately works, but it works not 27 00:01:32,000 --> 00:01:34,080 Speaker 1: as well as it used to. This is sort of 28 00:01:34,200 --> 00:01:37,200 Speaker 1: I think, his hope for the federal government. But what 29 00:01:37,240 --> 00:01:39,679 Speaker 1: I think you have to realize about this, And we 30 00:01:39,880 --> 00:01:44,080 Speaker 1: saw this play out in real time right today when 31 00:01:44,120 --> 00:01:47,120 Speaker 1: he was tweeting against me. Was like, I said, you know, 32 00:01:47,240 --> 00:01:50,000 Speaker 1: it's the richest man in the world cutting cancer research, 33 00:01:50,080 --> 00:01:52,720 Speaker 1: and he was like, no, I'm not. And here's the thing. 34 00:01:53,000 --> 00:01:56,440 Speaker 1: He's cutting part of the National Institute of Health, right, 35 00:01:56,600 --> 00:01:59,640 Speaker 1: and it's considered to be overhead. But overhead is like 36 00:02:00,080 --> 00:02:04,520 Speaker 1: leaning the labs and renting the space and paying for 37 00:02:04,920 --> 00:02:08,240 Speaker 1: the scientists. Like this is overhead. And the idea here 38 00:02:08,320 --> 00:02:11,239 Speaker 1: is when you start messing with grants, you start messing 39 00:02:11,360 --> 00:02:13,960 Speaker 1: with research, and there's less money for research. Now you 40 00:02:14,040 --> 00:02:16,760 Speaker 1: might have an argument that the government shouldn't be funding 41 00:02:16,840 --> 00:02:21,000 Speaker 1: cancer research. I would say that is really so stupid, 42 00:02:21,080 --> 00:02:23,639 Speaker 1: but you could, you know, you could go down this 43 00:02:23,840 --> 00:02:27,639 Speaker 1: path of what does the government do. But it really 44 00:02:27,720 --> 00:02:30,560 Speaker 1: isn't up to the richest man in the world, despite 45 00:02:30,639 --> 00:02:33,440 Speaker 1: how rich he is, to decide what the government should 46 00:02:33,480 --> 00:02:36,680 Speaker 1: and should not do. Right, We elected people to do 47 00:02:36,720 --> 00:02:40,160 Speaker 1: that job, and they are not doing it because and 48 00:02:40,200 --> 00:02:42,920 Speaker 1: I think this is really important when you think about 49 00:02:43,240 --> 00:02:46,640 Speaker 1: the Republicans in Congress right now, they couldn't legislate this, 50 00:02:47,280 --> 00:02:51,320 Speaker 1: and so they're just doing it anyway. And there is 51 00:02:51,360 --> 00:02:55,680 Speaker 1: not a public appetite for less cancer research. There is 52 00:02:55,720 --> 00:02:58,600 Speaker 1: not a public right. There's just not People aren't like, oh, 53 00:02:59,040 --> 00:03:02,119 Speaker 1: people were just doing too well with our cancer treatments here. 54 00:03:02,240 --> 00:03:04,280 Speaker 2: I would love to just see people in my life 55 00:03:04,360 --> 00:03:06,600 Speaker 2: die because the richest man on earth wants to pay 56 00:03:06,639 --> 00:03:07,320 Speaker 2: less taxes. 57 00:03:07,560 --> 00:03:11,079 Speaker 1: Well, And it's also just like even if you ideologically 58 00:03:11,120 --> 00:03:13,280 Speaker 1: believe that the government should be smaller, I mean, we 59 00:03:13,320 --> 00:03:15,239 Speaker 1: talk about this so much when we talk about Project 60 00:03:15,240 --> 00:03:18,160 Speaker 1: twenty twenty five, right, Project twenty twenty five, the Grand 61 00:03:18,320 --> 00:03:23,080 Speaker 1: Plan to dismantle the administrative state, to end government oversight, 62 00:03:23,160 --> 00:03:26,320 Speaker 1: but also to end you know, the things that nobody 63 00:03:26,360 --> 00:03:29,000 Speaker 1: really wants to end, right, cancer research, that kind of 64 00:03:29,000 --> 00:03:32,560 Speaker 1: stuff because it's expensive and because they don't really feel 65 00:03:32,560 --> 00:03:34,839 Speaker 1: the government should be paying for that stuff. So when 66 00:03:34,880 --> 00:03:37,920 Speaker 1: you go down that rabbit hole, the question is where 67 00:03:37,920 --> 00:03:40,760 Speaker 1: does it end? And then also if it's not being 68 00:03:40,840 --> 00:03:42,840 Speaker 1: done by elected people, but it's just being done by 69 00:03:42,920 --> 00:03:46,760 Speaker 1: random rich people, how is that constitutionally okay? And how 70 00:03:46,840 --> 00:03:50,200 Speaker 1: is that legal? And why even have elected officials right 71 00:03:50,320 --> 00:03:53,160 Speaker 1: if they are not allowed to control the power of 72 00:03:53,200 --> 00:03:55,600 Speaker 1: the purse, if they are not legislating, I mean, what 73 00:03:55,640 --> 00:03:59,040 Speaker 1: are they even doing? Like, and so we're watching here. 74 00:03:59,160 --> 00:04:02,240 Speaker 1: Besides the fact is very scary because there will be 75 00:04:02,280 --> 00:04:04,800 Speaker 1: a lot of government services lost, and that will be 76 00:04:04,920 --> 00:04:09,440 Speaker 1: things like you know, healthcare for veterans, science. I mean, 77 00:04:09,840 --> 00:04:13,560 Speaker 1: you'll see people in red states where the university is 78 00:04:13,560 --> 00:04:17,520 Speaker 1: the big employer in the state suddenly panicking because there 79 00:04:17,560 --> 00:04:20,560 Speaker 1: will be job lost, there will be financial ruin, there 80 00:04:20,600 --> 00:04:24,200 Speaker 1: will be you know this all this will actually trickle up, 81 00:04:24,440 --> 00:04:28,200 Speaker 1: believe it or not, to billionaires eventually, but it will 82 00:04:28,240 --> 00:04:31,719 Speaker 1: also trickle up to the people who are elected to handle. 83 00:04:31,440 --> 00:04:34,680 Speaker 2: This crashes the economy, which has a lot of potential aduces. 84 00:04:34,680 --> 00:04:37,800 Speaker 2: These are people are high value spenders of the economy, right, 85 00:04:38,000 --> 00:04:38,560 Speaker 2: and they're. 86 00:04:38,400 --> 00:04:42,320 Speaker 1: Also remember like you lose these scientists, they don't come back. 87 00:04:42,400 --> 00:04:45,160 Speaker 1: I mean, that's the brain drain. Question, right, like, what 88 00:04:45,200 --> 00:04:47,839 Speaker 1: does it look like to lose scientists? What does any 89 00:04:47,839 --> 00:04:50,080 Speaker 1: of this look like? And so, I mean, that's what 90 00:04:50,080 --> 00:04:53,320 Speaker 1: we're setting ourselves up for. So this is the accelerationist 91 00:04:53,480 --> 00:04:55,880 Speaker 1: case for trump Ism, is that, like, it's better to 92 00:04:55,920 --> 00:05:00,440 Speaker 1: have him crash and burn now than to slowly lash 93 00:05:00,560 --> 00:05:03,080 Speaker 1: the federal government the way of John Roberts might. But 94 00:05:03,440 --> 00:05:06,120 Speaker 1: I mean, I'm not convinced that there's any good coming 95 00:05:06,200 --> 00:05:06,880 Speaker 1: from any of this. 96 00:05:08,360 --> 00:05:11,520 Speaker 2: So a federal judge, though, has blocked Doze from accessing 97 00:05:11,520 --> 00:05:15,800 Speaker 2: Treasury Department records after nineteen States of sued Trump after 98 00:05:15,880 --> 00:05:19,080 Speaker 2: nineteen states of sued Trump's administration for this, But it 99 00:05:19,160 --> 00:05:22,240 Speaker 2: also has come with a lot of Elon having rage tweets. 100 00:05:22,440 --> 00:05:24,279 Speaker 1: What's important to realize here is that none of this 101 00:05:24,440 --> 00:05:27,680 Speaker 1: is legal. Just because Elon is very rich doesn't mean 102 00:05:27,800 --> 00:05:31,920 Speaker 1: he gets to just completely rewrite the way we do government. 103 00:05:32,240 --> 00:05:35,760 Speaker 1: And what is important about this story is that we 104 00:05:36,000 --> 00:05:41,039 Speaker 1: have these Democratic attorneys generals And remember this summer, Jesse 105 00:05:41,120 --> 00:05:43,960 Speaker 1: and I interviewed one of them who was talking to 106 00:05:44,040 --> 00:05:47,880 Speaker 1: us before we were reporting about how they were ready 107 00:05:47,920 --> 00:05:50,520 Speaker 1: because they really thought that the Democrat was going to 108 00:05:50,560 --> 00:05:52,840 Speaker 1: lose and that Trump was going to win again. And 109 00:05:52,839 --> 00:05:56,440 Speaker 1: that was why these blue state attorney generals were getting 110 00:05:56,480 --> 00:05:58,760 Speaker 1: together and planning the lawsuits that they were going to 111 00:05:58,800 --> 00:06:02,800 Speaker 1: have to file. They were really organized to fight back 112 00:06:02,839 --> 00:06:04,839 Speaker 1: against a lot of this stuff. And that's what we're 113 00:06:04,880 --> 00:06:09,800 Speaker 1: seeing here. So, look, this judge ruled against Elon and 114 00:06:10,000 --> 00:06:14,080 Speaker 1: doage because it's not okay. Now what's going to happen 115 00:06:14,240 --> 00:06:18,120 Speaker 1: now is that you know, Muscus is tweeting against him 116 00:06:18,160 --> 00:06:23,279 Speaker 1: and saying he's a corrupt judge protecting corruption. And again 117 00:06:23,760 --> 00:06:26,920 Speaker 1: this is like really important here. Part of the double speak, 118 00:06:26,960 --> 00:06:30,440 Speaker 1: the sort of Orwellian double speak that these people engage in, 119 00:06:30,800 --> 00:06:34,960 Speaker 1: is this idea that you know, if you are against this, 120 00:06:35,240 --> 00:06:39,560 Speaker 1: then you are for corruption, that you're if you're against 121 00:06:39,720 --> 00:06:43,120 Speaker 1: because this is all about how they're going to make 122 00:06:43,200 --> 00:06:46,080 Speaker 1: the government more efficient. And if you're against efficiency, then 123 00:06:46,120 --> 00:06:50,720 Speaker 1: your four waste. It's not true and also it's not correct. 124 00:06:50,960 --> 00:06:55,279 Speaker 1: And also it's just completely not right. And so that's 125 00:06:55,279 --> 00:06:58,560 Speaker 1: what I would say is like, don't do not, do 126 00:06:58,640 --> 00:07:02,280 Speaker 1: not do not into this, do not trust it. And 127 00:07:02,560 --> 00:07:05,480 Speaker 1: also like this judge is doing the right thing because 128 00:07:05,480 --> 00:07:08,560 Speaker 1: this is illegal. So now are they trying to set 129 00:07:08,560 --> 00:07:13,040 Speaker 1: the table to ignore the court order? Very possibly. I 130 00:07:13,080 --> 00:07:14,320 Speaker 1: think that's very likely. 131 00:07:14,640 --> 00:07:17,960 Speaker 2: They're definitely trying to establish a culture of that being okay. 132 00:07:18,040 --> 00:07:21,720 Speaker 2: On Twitter through Vans and Charlie Kirk tweets yep. 133 00:07:21,640 --> 00:07:24,480 Speaker 1: This judge said that it's not okay. But you know, 134 00:07:24,480 --> 00:07:26,960 Speaker 1: it's interesting. I mean. The other thing that's really interesting 135 00:07:27,200 --> 00:07:30,920 Speaker 1: a lot of the laws that are being used to 136 00:07:31,160 --> 00:07:34,880 Speaker 1: correct this corruption or to fight this corruption, or laws 137 00:07:34,880 --> 00:07:37,560 Speaker 1: that were put in place after Nixon. So we have 138 00:07:37,760 --> 00:07:41,000 Speaker 1: this violation of the Privacy Act of nineteen seventy four, 139 00:07:41,080 --> 00:07:43,880 Speaker 1: that's another one of these, after the Empowerment Act, another 140 00:07:43,880 --> 00:07:46,880 Speaker 1: one of these post Nicksonian reforms, and then the Tax 141 00:07:46,920 --> 00:07:49,560 Speaker 1: Will Reform Act of nineteen seventy six, as well as 142 00:07:49,600 --> 00:07:52,880 Speaker 1: other laws. The lawsuits are used also that don't access 143 00:07:52,960 --> 00:07:55,920 Speaker 1: poses security risks, and you and I both know that 144 00:07:55,960 --> 00:07:59,160 Speaker 1: these guys are all like, very young, these hackers. One 145 00:07:59,200 --> 00:08:03,120 Speaker 1: got fire for not respecting privacy at a different job. 146 00:08:03,440 --> 00:08:06,400 Speaker 1: One tweeted racist stuff. I mean, there's a pretty good 147 00:08:06,480 --> 00:08:10,160 Speaker 1: case for why the people who are messing with all 148 00:08:10,320 --> 00:08:14,680 Speaker 1: of our computers should have some kind of security clearance. 149 00:08:15,360 --> 00:08:16,560 Speaker 3: Yeah. Fun stuff. 150 00:08:16,840 --> 00:08:20,200 Speaker 2: So one of the first actions of O and B 151 00:08:20,320 --> 00:08:23,840 Speaker 2: director Russell Vought is to get rid of the CFPB. 152 00:08:24,360 --> 00:08:28,040 Speaker 2: I see just earlier today he tweeted that it is 153 00:08:28,240 --> 00:08:32,640 Speaker 2: a woke and weaponized agency against disfavored industries and individuals 154 00:08:32,640 --> 00:08:35,920 Speaker 2: for a long time, and it must end because making 155 00:08:35,960 --> 00:08:39,000 Speaker 2: sure banks don't charge you extra fees and things like that. 156 00:08:39,360 --> 00:08:40,920 Speaker 4: Very woke, very woke. 157 00:08:41,600 --> 00:08:46,440 Speaker 1: Very woke. Yes, anti corruption, very woke. Look, this is again. 158 00:08:46,600 --> 00:08:51,040 Speaker 1: We are in this world where everything up is down 159 00:08:51,120 --> 00:08:54,000 Speaker 1: and left is right and anything they don't like is woke. 160 00:08:54,280 --> 00:08:56,840 Speaker 2: And here we are really is the case for uh, 161 00:08:57,160 --> 00:08:59,640 Speaker 2: they have a hammer and everything is a nail with 162 00:08:59,679 --> 00:09:00,160 Speaker 2: the word. 163 00:09:00,960 --> 00:09:08,200 Speaker 1: That's the woke mind virus to you, baby. Rick Wilson 164 00:09:08,480 --> 00:09:10,480 Speaker 1: is the founder of the Lincoln Project and the host 165 00:09:10,520 --> 00:09:14,920 Speaker 1: of the Enemy's List Welcome Back, Too Fast Politics, Rick. 166 00:09:14,840 --> 00:09:20,200 Speaker 3: Wilson, John, you sound phenomenal. It was good to see this. 167 00:09:20,280 --> 00:09:20,800 Speaker 3: Last week. 168 00:09:21,320 --> 00:09:24,480 Speaker 1: Yes, Rick and I went to a book festival called 169 00:09:24,480 --> 00:09:27,360 Speaker 1: the Rancho Mirage Writers Festival together and we had a 170 00:09:27,400 --> 00:09:28,040 Speaker 1: great time. 171 00:09:28,360 --> 00:09:30,840 Speaker 3: We did have a great time. Did not like what we. 172 00:09:30,720 --> 00:09:34,600 Speaker 1: Said about him, did not like what we said on stage. 173 00:09:35,480 --> 00:09:37,360 Speaker 4: Somebody was like, send me a message there like, well, 174 00:09:37,360 --> 00:09:39,760 Speaker 4: it's your fault because you used to work for like, 175 00:09:39,960 --> 00:09:42,160 Speaker 4: for fuck's sake, We've been doing this for a decade now, 176 00:09:42,280 --> 00:09:44,200 Speaker 4: and if you'd been there, you would have seen us 177 00:09:44,240 --> 00:09:45,000 Speaker 4: spanking him. 178 00:09:45,760 --> 00:09:49,280 Speaker 1: Yeah. I mean, he's such an interesting character. Whatever. Let's 179 00:09:49,320 --> 00:09:51,600 Speaker 1: not talk about Karl Rove, who cares so, but let's 180 00:09:51,640 --> 00:09:55,440 Speaker 1: talk about Republicans dismantling our government. One of the things 181 00:09:55,640 --> 00:09:59,920 Speaker 1: I'm struck by is so the Doge project is cutting 182 00:10:00,400 --> 00:10:05,920 Speaker 1: billions of dollars of wasteful spending, like research into cancer. 183 00:10:05,880 --> 00:10:10,959 Speaker 4: Obviously cancer being so woke and all woke cancer, wolke cancer, 184 00:10:11,240 --> 00:10:14,160 Speaker 4: the woke mind virus. I think we are seeing right 185 00:10:14,200 --> 00:10:17,000 Speaker 4: now that it is not yet sunk in at the 186 00:10:17,040 --> 00:10:20,520 Speaker 4: state level. What is going to happen here and in 187 00:10:20,559 --> 00:10:23,880 Speaker 4: states across the country where there are billions of dollars 188 00:10:23,880 --> 00:10:28,120 Speaker 4: of NIH grants that do not go to Antifa or 189 00:10:28,200 --> 00:10:31,720 Speaker 4: whatever imaginary demon they have out there. They go to 190 00:10:31,880 --> 00:10:36,520 Speaker 4: universities that do the cancer research and the scientific research, 191 00:10:36,559 --> 00:10:39,000 Speaker 4: and the physics research and the computer science research that 192 00:10:39,080 --> 00:10:42,720 Speaker 4: has made so many people's lives so much better. 193 00:10:42,640 --> 00:10:45,679 Speaker 1: And it's made America great. Let's if we're gonna worry 194 00:10:45,679 --> 00:10:46,959 Speaker 1: about American greatness. 195 00:10:47,080 --> 00:10:49,959 Speaker 4: Yeah, if we're going to actually talk about American greatness, 196 00:10:50,160 --> 00:10:52,160 Speaker 4: one of the things that made to America great is 197 00:10:52,200 --> 00:10:55,679 Speaker 4: that we have great research labs all over this country 198 00:10:55,679 --> 00:11:00,280 Speaker 4: doing great work. And once again, isn't some weird fantasy like, oh, 199 00:11:00,280 --> 00:11:05,360 Speaker 4: they're all researching lesbian boot Brazilian pan flute music. They 200 00:11:05,400 --> 00:11:08,240 Speaker 4: are out there looking for the cures to cancer at 201 00:11:08,280 --> 00:11:11,160 Speaker 4: Alzheimer's and everything else. And all those things that happen 202 00:11:11,440 --> 00:11:17,079 Speaker 4: at these labs, they are then materially made into research 203 00:11:17,440 --> 00:11:20,480 Speaker 4: that goes to pharmaceutical companies and technology companies and healthcare 204 00:11:20,520 --> 00:11:24,320 Speaker 4: systems and doctors and nurses and all of it, Every 205 00:11:24,520 --> 00:11:27,600 Speaker 4: single bit of it is not about some political agenda. 206 00:11:27,920 --> 00:11:30,439 Speaker 4: It's about helping people's lives become better. 207 00:11:30,679 --> 00:11:34,320 Speaker 1: Well, it's about science, right, It's about science. So even 208 00:11:34,360 --> 00:11:37,719 Speaker 1: if it's not necessarily you know, science, the science that 209 00:11:38,320 --> 00:11:41,800 Speaker 1: sends rockets, the science that Elon. 210 00:11:41,640 --> 00:11:44,520 Speaker 5: Uses well, by the way, by the way, by the way, 211 00:11:44,720 --> 00:11:48,920 Speaker 5: you know, I have to tell you, Elon Musk directly 212 00:11:49,000 --> 00:11:54,040 Speaker 5: benefits every single day, materially benefits from the research that 213 00:11:54,200 --> 00:11:58,040 Speaker 5: was done by National Science Foundation grants over and over 214 00:11:58,160 --> 00:11:59,280 Speaker 5: and over getting. 215 00:11:59,080 --> 00:12:01,280 Speaker 1: Which is why this is such a mind truck. 216 00:12:01,480 --> 00:12:01,680 Speaker 3: Yeah. 217 00:12:01,960 --> 00:12:04,640 Speaker 4: Well, and look, I am still waiting for the day 218 00:12:05,040 --> 00:12:06,760 Speaker 4: and we are starting to hear a little bit of 219 00:12:06,760 --> 00:12:09,280 Speaker 4: this now. Like I was following some stuff this morning 220 00:12:09,280 --> 00:12:12,439 Speaker 4: about these Georgia soybean farmers who are the reddest of 221 00:12:12,480 --> 00:12:16,400 Speaker 4: red states, right, saying things like wait what, we're losing 222 00:12:16,400 --> 00:12:16,880 Speaker 4: our what? 223 00:12:17,200 --> 00:12:17,600 Speaker 1: Yeah? 224 00:12:17,880 --> 00:12:21,679 Speaker 4: All this money they've made over the years selling soybeans 225 00:12:21,720 --> 00:12:26,720 Speaker 4: for overseas markets through aid. Oh my goodness, Suddenly, wo 226 00:12:26,880 --> 00:12:28,240 Speaker 4: kid is a good thing? 227 00:12:28,640 --> 00:12:31,280 Speaker 1: Yeah, I mean that this is where we are. I mean, 228 00:12:31,320 --> 00:12:34,600 Speaker 1: this is sort of the craziest part of it is 229 00:12:34,679 --> 00:12:35,520 Speaker 1: that it's. 230 00:12:35,520 --> 00:12:37,479 Speaker 3: Just the goofiest timeline. 231 00:12:37,640 --> 00:12:40,959 Speaker 1: Yeah. But I mean it's also really worrying. And there's 232 00:12:41,000 --> 00:12:45,000 Speaker 1: a real war on their credits, which is scary, right, 233 00:12:45,480 --> 00:12:48,560 Speaker 1: I mean that's a real thing. And there is also 234 00:12:48,880 --> 00:12:52,720 Speaker 1: a real, you know, war on the truths what little 235 00:12:52,840 --> 00:12:54,640 Speaker 1: is left of it. So let's talk about that for 236 00:12:54,679 --> 00:12:55,079 Speaker 1: a minute. 237 00:12:55,280 --> 00:12:55,480 Speaker 6: Yeah. 238 00:12:55,559 --> 00:12:57,480 Speaker 4: Look, I mean, Molly, I think we are right now. 239 00:12:57,559 --> 00:12:59,520 Speaker 4: If you're going to play the game that Elon and 240 00:12:59,559 --> 00:13:01,720 Speaker 4: Donald and everybody else is playing, you have to have 241 00:13:01,800 --> 00:13:04,240 Speaker 4: a contempt for the truth. You have to have a 242 00:13:04,360 --> 00:13:07,680 Speaker 4: hatred almost for the truth, because you don't wake up 243 00:13:07,679 --> 00:13:09,760 Speaker 4: in the morning and think, hey, we're going to tell 244 00:13:09,760 --> 00:13:11,800 Speaker 4: both sides of this lie, and that's going to be 245 00:13:11,840 --> 00:13:14,840 Speaker 4: equally valid. It's not equally valid. The lie is the 246 00:13:14,880 --> 00:13:16,959 Speaker 4: lie is the lie, and so so much of this 247 00:13:17,000 --> 00:13:19,400 Speaker 4: stuff that we're seeing right now. Elon I said, oh, 248 00:13:19,520 --> 00:13:23,640 Speaker 4: sixty thousand people took the offer that cuts thirty billion dollars. Well, 249 00:13:23,640 --> 00:13:26,360 Speaker 4: the average federal salary is about sixty five thousand dollars, 250 00:13:26,520 --> 00:13:28,720 Speaker 4: and sixty five thousand times thirty five thousand is about 251 00:13:28,760 --> 00:13:32,080 Speaker 4: three point one billion dollars or somewhere in that neighborhood. 252 00:13:32,360 --> 00:13:36,480 Speaker 4: So it's become very Trumpian, it's become very exaggerated and 253 00:13:36,720 --> 00:13:40,640 Speaker 4: hyper you know, hyper focused on the on the can 254 00:13:40,679 --> 00:13:43,600 Speaker 4: we make the Libs cry harder every minute of the day. 255 00:13:43,920 --> 00:13:45,679 Speaker 4: And I just I think we are right now on 256 00:13:45,760 --> 00:13:49,640 Speaker 4: a terrible position as a country because for Republicans, the 257 00:13:50,200 --> 00:13:54,160 Speaker 4: reflexive defense of Trump on everything has now applied to 258 00:13:54,200 --> 00:13:57,199 Speaker 4: Elon as this guy starts to tear apart the things 259 00:13:57,240 --> 00:13:59,760 Speaker 4: that they have done in their states and districts. Because 260 00:13:59,840 --> 00:14:04,400 Speaker 4: even the most dickhead hate fuederal spending, even ran Paul 261 00:14:05,080 --> 00:14:08,800 Speaker 4: Okay every year is saying going home and saying, by 262 00:14:08,840 --> 00:14:11,720 Speaker 4: the way, I just got this amazing thing. We're going 263 00:14:11,800 --> 00:14:14,319 Speaker 4: to build these three bridges in our district. We're gonna 264 00:14:14,520 --> 00:14:17,760 Speaker 4: provide x number of student lunches in our district. Our 265 00:14:17,840 --> 00:14:20,960 Speaker 4: state's going to now get a research grant to study 266 00:14:20,960 --> 00:14:24,760 Speaker 4: Alzheimer's or whatever it is. And the disconnect right now 267 00:14:25,000 --> 00:14:30,160 Speaker 4: between whether Republicans believe in that they that they represent 268 00:14:30,640 --> 00:14:34,760 Speaker 4: their constituents anymore is more increasing is increasingly like obvious 269 00:14:34,800 --> 00:14:36,800 Speaker 4: to me, they don't and they don't want to. 270 00:14:37,080 --> 00:14:37,560 Speaker 3: They want to. 271 00:14:37,640 --> 00:14:40,160 Speaker 4: They want to please Trump. Yes, yes, my lord, Donald, 272 00:14:40,320 --> 00:14:42,760 Speaker 4: only you can save us, blah blah blah, and did 273 00:14:42,760 --> 00:14:45,800 Speaker 4: I please you today, my lord? It's crazy, but that 274 00:14:45,960 --> 00:14:46,560 Speaker 4: is what it is. 275 00:14:46,840 --> 00:14:50,040 Speaker 1: So one of the things happening right now is we're 276 00:14:50,080 --> 00:14:55,120 Speaker 1: getting ready for the Republicans to ignore the courts. That's 277 00:14:55,360 --> 00:14:58,960 Speaker 1: what we're seeing online is that the Republicans are trying 278 00:14:59,000 --> 00:15:02,680 Speaker 1: to make the case that they shouldn't have to rely 279 00:15:02,840 --> 00:15:08,080 Speaker 1: on the courts, that the Cords are not legit because 280 00:15:08,280 --> 00:15:10,280 Speaker 1: of one reason or another. One of the things I 281 00:15:10,400 --> 00:15:14,200 Speaker 1: love about the sort of brain trust here is that 282 00:15:14,240 --> 00:15:17,680 Speaker 1: they're for they'll like sort of jump around, so you'll say, 283 00:15:18,000 --> 00:15:21,160 Speaker 1: last night I tweeted about Elon and cancer research, and 284 00:15:21,280 --> 00:15:23,920 Speaker 1: Elon was very mad and saw that what are you 285 00:15:24,000 --> 00:15:28,040 Speaker 1: talking about? And then his people were like, cancer research 286 00:15:28,160 --> 00:15:29,359 Speaker 1: is for cocks. 287 00:15:29,120 --> 00:15:29,320 Speaker 7: You know. 288 00:15:29,360 --> 00:15:32,080 Speaker 1: They were like they couldn't quite message it. So they 289 00:15:32,120 --> 00:15:36,200 Speaker 1: were like, he's not doing that, you mainstream media liar, right, 290 00:15:36,400 --> 00:15:37,840 Speaker 1: even though like he's. 291 00:15:37,840 --> 00:15:40,840 Speaker 3: Delayed, he's absolutely well. 292 00:15:40,720 --> 00:15:43,200 Speaker 1: He's writing about, you know that we're going to cut 293 00:15:43,200 --> 00:15:46,160 Speaker 1: the NIH which is cancer research, among other things. And 294 00:15:46,200 --> 00:15:50,000 Speaker 1: then his people are like, private companies should do cancer research. 295 00:15:50,400 --> 00:15:54,400 Speaker 1: The government has has the cure for cancer. They're just 296 00:15:54,440 --> 00:15:55,880 Speaker 1: not letting you know, like the. 297 00:15:56,640 --> 00:15:58,200 Speaker 3: Oh, yes, of course, yes. 298 00:15:59,280 --> 00:16:06,720 Speaker 1: The response range was so incredibly shade, and yes, it 299 00:16:06,760 --> 00:16:10,480 Speaker 1: was such a big range that it was clear that 300 00:16:10,520 --> 00:16:12,040 Speaker 1: they just didn't know how to message it. 301 00:16:12,200 --> 00:16:12,400 Speaker 6: Right. 302 00:16:12,720 --> 00:16:15,000 Speaker 4: No, I don't think they do know how to message it, Molly. 303 00:16:15,040 --> 00:16:16,680 Speaker 4: I think that's part of the problem here, is that 304 00:16:16,760 --> 00:16:21,160 Speaker 4: they've had a long window where trump Ism was actually 305 00:16:21,240 --> 00:16:25,240 Speaker 4: a bit disconnected from real impact in their lives. So 306 00:16:25,360 --> 00:16:28,560 Speaker 4: when during COVID, right, there was a connection between the 307 00:16:28,600 --> 00:16:33,000 Speaker 4: craziness and the dusts. But now there's a sense, I 308 00:16:33,080 --> 00:16:35,640 Speaker 4: think that that they're going to have to go out 309 00:16:35,680 --> 00:16:39,440 Speaker 4: there and work hard to spend the damage that's being done. 310 00:16:39,520 --> 00:16:42,600 Speaker 4: And this is not about just so everybody's clear on this, 311 00:16:42,600 --> 00:16:44,880 Speaker 4: this is not about the size of government or about 312 00:16:44,880 --> 00:16:48,200 Speaker 4: government waste. No one literally a constituency for government waste 313 00:16:48,200 --> 00:16:50,040 Speaker 4: is zero. There is no one who believes the government 314 00:16:50,040 --> 00:16:50,480 Speaker 4: waste is. 315 00:16:50,440 --> 00:16:51,240 Speaker 3: Bad or is good? 316 00:16:51,480 --> 00:16:54,040 Speaker 1: Is good government waste? 317 00:16:54,120 --> 00:16:57,480 Speaker 4: Right but right now, what we are seeing from Elon 318 00:16:57,560 --> 00:17:02,640 Speaker 4: and company, I think is incrediblely silly and dangerous moment 319 00:17:02,920 --> 00:17:05,880 Speaker 4: because nothing about what he's doing comes down to any 320 00:17:05,920 --> 00:17:09,359 Speaker 4: sort of sensible approach to governance. And I know that's 321 00:17:09,480 --> 00:17:11,879 Speaker 4: really hard for August to accept as that you should 322 00:17:11,880 --> 00:17:14,240 Speaker 4: be sensible about things from time to time. I know 323 00:17:14,280 --> 00:17:16,639 Speaker 4: how tough that is. Guys, I get it, I really do. 324 00:17:16,960 --> 00:17:20,920 Speaker 4: I feel your pain. But they don't want good outcomes. 325 00:17:20,960 --> 00:17:23,439 Speaker 4: They want the chaos. They want the destruction. And I 326 00:17:23,440 --> 00:17:25,680 Speaker 4: do think by the way, this is sort of a 327 00:17:25,720 --> 00:17:28,199 Speaker 4: big theory of the case, but a theory of the case. Nonetheless, 328 00:17:28,520 --> 00:17:32,320 Speaker 4: I think Elon and team tech Bro have all convinced 329 00:17:32,359 --> 00:17:34,800 Speaker 4: themselves that they're not going to need any of this 330 00:17:34,880 --> 00:17:38,560 Speaker 4: research because within a year or a month or however 331 00:17:38,600 --> 00:17:40,320 Speaker 4: long they think it is, AI. 332 00:17:40,119 --> 00:17:40,880 Speaker 3: Will do everything. 333 00:17:41,160 --> 00:17:43,199 Speaker 4: I think that's part of their thought process here, is 334 00:17:43,240 --> 00:17:45,320 Speaker 4: like we can say this is great, and then the 335 00:17:45,359 --> 00:17:47,720 Speaker 4: AI will figure it all out for us. It is 336 00:17:47,760 --> 00:17:50,760 Speaker 4: a weird and I think semi apocalyptic viewpoint, but I 337 00:17:50,800 --> 00:17:51,639 Speaker 4: don't think it's wrong. 338 00:17:51,920 --> 00:17:54,600 Speaker 1: Yeah, I think there's certainly a lot of different things 339 00:17:54,640 --> 00:17:58,000 Speaker 1: going on here. But I think the real question is 340 00:17:58,040 --> 00:18:01,120 Speaker 1: going to be how long does a government function until 341 00:18:01,160 --> 00:18:02,280 Speaker 1: this is over? Right? 342 00:18:03,040 --> 00:18:05,679 Speaker 4: Listen, I think I think the government is functioning right 343 00:18:05,720 --> 00:18:08,520 Speaker 4: now about like Twitter functions. Now, if you look at 344 00:18:08,560 --> 00:18:10,639 Speaker 4: the fact that Elon went and he cut seventy percent 345 00:18:10,760 --> 00:18:13,560 Speaker 4: out of Twitter's headcount when he took over, and a 346 00:18:13,560 --> 00:18:14,240 Speaker 4: lot of people. 347 00:18:14,040 --> 00:18:15,800 Speaker 3: Said, oh, yeah, it needed to be cut. 348 00:18:15,880 --> 00:18:17,879 Speaker 4: It was this, it was that. And if you even 349 00:18:17,920 --> 00:18:20,320 Speaker 4: take that point, Okay, let's just take that point for 350 00:18:20,359 --> 00:18:23,879 Speaker 4: a second. He didn't make those cuts with a sense 351 00:18:23,920 --> 00:18:27,520 Speaker 4: of a plan. He did it because he has a 352 00:18:27,560 --> 00:18:32,359 Speaker 4: sort of fetishization cuts being good as a signifier of leadership. 353 00:18:32,480 --> 00:18:34,560 Speaker 4: Does that make sense? Yeah, And I think it's a 354 00:18:34,600 --> 00:18:37,320 Speaker 4: silly kind of model in a lot of ways, but 355 00:18:37,359 --> 00:18:39,720 Speaker 4: it is nonetheless one of his models. 356 00:18:40,160 --> 00:18:43,080 Speaker 1: Right. Well, And the question is do the American people 357 00:18:43,320 --> 00:18:46,360 Speaker 1: like it or do they not like it? They are 358 00:18:46,400 --> 00:18:49,679 Speaker 1: they happy with this? And I don't know that we 359 00:18:49,760 --> 00:18:50,640 Speaker 1: know the answer. 360 00:18:50,400 --> 00:18:53,240 Speaker 4: Yet, right, I don't think we have the answer yet. Honestly, 361 00:18:53,280 --> 00:18:54,800 Speaker 4: I don't. I don't think we have an answer on 362 00:18:54,840 --> 00:18:59,600 Speaker 4: that yet because I think part of this is it 363 00:18:59,600 --> 00:19:02,560 Speaker 4: we're still in the entertainment phase of this new iteration 364 00:19:02,600 --> 00:19:05,199 Speaker 4: of trump Ism. There's still a great joy on the 365 00:19:05,280 --> 00:19:09,520 Speaker 4: right that the Libs are being owned. They absolutely couldn't 366 00:19:09,560 --> 00:19:13,040 Speaker 4: be happier, how owned the Libs are, how upset people are. 367 00:19:13,200 --> 00:19:15,879 Speaker 4: That to my mind is like they love people being upset. 368 00:19:15,960 --> 00:19:18,439 Speaker 4: They love people saying oh, please don't cut cancer research 369 00:19:18,520 --> 00:19:21,720 Speaker 4: and saying cancers for cooks, Oh drink rail milk, you 370 00:19:21,760 --> 00:19:23,920 Speaker 4: won't get cancer, right right right? 371 00:19:24,200 --> 00:19:26,680 Speaker 1: I mean that I think is a big question. There 372 00:19:26,760 --> 00:19:30,600 Speaker 1: is a question still of like how much Elon can 373 00:19:30,680 --> 00:19:33,160 Speaker 1: do in the federal computers, right. 374 00:19:33,600 --> 00:19:36,320 Speaker 4: I think if you just take the scope of what 375 00:19:36,359 --> 00:19:39,200 Speaker 4: the court orders are saying, look at what Elon has done, 376 00:19:39,480 --> 00:19:42,240 Speaker 4: and if anyone is comfortable right now that their social 377 00:19:42,240 --> 00:19:46,520 Speaker 4: Security number, they're privately identifiable information, all that business is 378 00:19:46,880 --> 00:19:51,159 Speaker 4: has somehow been somehow more secure than it was before 379 00:19:51,200 --> 00:19:53,920 Speaker 4: a bunch of jacked up in cells when in there 380 00:19:54,000 --> 00:19:58,439 Speaker 4: and started rifling through your most intimate files. God bless you, 381 00:19:58,840 --> 00:19:59,840 Speaker 4: God bless y. 382 00:20:00,280 --> 00:20:03,920 Speaker 1: So today we saw a lot of It's the show 383 00:20:04,080 --> 00:20:07,600 Speaker 1: airs on Monday. On Sunday, we saw all of MAGA 384 00:20:07,640 --> 00:20:12,320 Speaker 1: world working this Sunday shows, oh, trying to sell this 385 00:20:12,440 --> 00:20:13,399 Speaker 1: all sign right. 386 00:20:13,280 --> 00:20:15,960 Speaker 4: Well, you know, and I got to tell you the 387 00:20:16,000 --> 00:20:18,720 Speaker 4: Sunday shows have got to step it up. Margaret Brennan's 388 00:20:18,760 --> 00:20:21,080 Speaker 4: on there today on CBS. And you know, you have 389 00:20:21,200 --> 00:20:24,879 Speaker 4: this Republican reps and senators and they're asked direct questions 390 00:20:24,880 --> 00:20:29,080 Speaker 4: of things they absolutely don't believe, and even when confronted, 391 00:20:29,119 --> 00:20:31,199 Speaker 4: they go right back to the well, we were funding 392 00:20:31,240 --> 00:20:37,800 Speaker 4: transsexual pan flute bands in Chile. Okay enough, they won't answer. Hey, 393 00:20:38,000 --> 00:20:39,919 Speaker 4: by the way, do you think this guy Darren Beattie, 394 00:20:39,960 --> 00:20:44,040 Speaker 4: who is a flaming racist of the highest quality, A 395 00:20:44,080 --> 00:20:47,800 Speaker 4: guy so racist Elon Musco's ease up their comrade. It 396 00:20:47,800 --> 00:20:49,720 Speaker 4: should be in the state Department. Blah blah blah blah. 397 00:20:49,760 --> 00:20:52,119 Speaker 4: I don't know him. They know every detail of the 398 00:20:52,240 --> 00:20:56,280 Speaker 4: of the usai D budget for South American LGBT spending, 399 00:20:56,600 --> 00:20:59,040 Speaker 4: but not who's going to be in the State Department 400 00:20:59,240 --> 00:20:59,840 Speaker 4: the fuck out. 401 00:20:59,840 --> 00:21:06,920 Speaker 1: A senator from Alabama, Katie Brett, Young, very smart, quite terrifying, 402 00:21:07,280 --> 00:21:11,560 Speaker 1: says that she realizes that we should maybe have a smarter, 403 00:21:11,760 --> 00:21:18,119 Speaker 1: more targeted approach to cutting NIH funding. You'll note that 404 00:21:18,280 --> 00:21:23,960 Speaker 1: the stage largest employer is in fact a Benny ficiary 405 00:21:24,119 --> 00:21:29,359 Speaker 1: of NIH funding, the University of Alabama at Birmingham. 406 00:21:29,640 --> 00:21:32,280 Speaker 3: That is a shock, indeed, that Alabama. 407 00:21:32,600 --> 00:21:34,560 Speaker 4: I think one of the things again I go back 408 00:21:34,560 --> 00:21:38,840 Speaker 4: to this this idea that Silicon Valley has prospered so 409 00:21:39,400 --> 00:21:44,480 Speaker 4: extraordinarily from spending on science and technology, and the Red 410 00:21:44,520 --> 00:21:48,320 Speaker 4: States have too. This is what I find so remarkable 411 00:21:48,760 --> 00:21:51,640 Speaker 4: is that people like Katie Britt are so effing disingenuous 412 00:21:51,840 --> 00:21:54,000 Speaker 4: where now they're thinking, oh God, now what do I 413 00:21:54,080 --> 00:21:57,320 Speaker 4: tell my people? You know who was going to benefit 414 00:21:57,400 --> 00:21:59,160 Speaker 4: tremendously from the infrastructure bill? 415 00:21:59,359 --> 00:21:59,919 Speaker 3: Red states? 416 00:22:00,400 --> 00:22:03,639 Speaker 4: Red States, they would have a ton of spending that 417 00:22:03,680 --> 00:22:06,720 Speaker 4: was going to help them to prosper and to help 418 00:22:06,760 --> 00:22:08,800 Speaker 4: them to improve their infrastructure. And trust me, as a 419 00:22:08,840 --> 00:22:10,520 Speaker 4: Red state guy, I can tell you one thing. It 420 00:22:10,600 --> 00:22:12,960 Speaker 4: is increasingly like living in the fucking third. 421 00:22:12,720 --> 00:22:16,080 Speaker 1: World, right, I mean, well, and again, we don't call 422 00:22:16,119 --> 00:22:18,080 Speaker 1: it the third World. We call it the Global South. 423 00:22:18,440 --> 00:22:22,119 Speaker 1: Not to be pedantic here because I know, but but 424 00:22:22,160 --> 00:22:23,800 Speaker 1: I do think you have a really good point here, 425 00:22:23,840 --> 00:22:28,520 Speaker 1: which is that this spending is actually about making the 426 00:22:28,560 --> 00:22:33,080 Speaker 1: economy better, also making the infrastructure better. America's had real 427 00:22:33,119 --> 00:22:36,560 Speaker 1: infrastructure problems. Now, what I think is interesting is that 428 00:22:37,160 --> 00:22:39,400 Speaker 1: this is one of the many ways in which Trump 429 00:22:39,600 --> 00:22:42,879 Speaker 1: one point zero has run into trouble with Trump two 430 00:22:42,920 --> 00:22:45,160 Speaker 1: point zero. You'll remember and Trump one point. 431 00:22:45,040 --> 00:22:46,520 Speaker 3: Zero infrastructure week. 432 00:22:47,200 --> 00:22:52,800 Speaker 1: Yes, every week was infrastructure week. Yeah remember that? Yeah, 433 00:22:52,840 --> 00:22:55,879 Speaker 1: So I guess now, no more infrastructure weeks. 434 00:22:56,119 --> 00:23:01,920 Speaker 4: No infrastructure weeks for cous molly. Yeah, infrastructure weeks are 435 00:23:01,960 --> 00:23:04,679 Speaker 4: for weak cucks. They're for the deep state, human filth. 436 00:23:05,000 --> 00:23:07,560 Speaker 1: I'm me and just insane. So what are you going 437 00:23:07,600 --> 00:23:08,640 Speaker 1: to watch this week? 438 00:23:09,000 --> 00:23:11,160 Speaker 4: Well, look, I'm going to watch the way in which 439 00:23:11,200 --> 00:23:14,960 Speaker 4: court orders are either obeyed or disobeyed. And I think 440 00:23:15,160 --> 00:23:17,760 Speaker 4: that I think that we are very much at the 441 00:23:18,080 --> 00:23:22,159 Speaker 4: edge of a constitutional crisis, a precipice that really has 442 00:23:22,400 --> 00:23:24,520 Speaker 4: a it's really going to be a moment where we're 443 00:23:24,520 --> 00:23:26,280 Speaker 4: going to decide that this country is going to follow 444 00:23:26,320 --> 00:23:30,600 Speaker 4: the constitution or whether an entire political party is going 445 00:23:30,680 --> 00:23:33,080 Speaker 4: to say, you know what, goodwill will last and let's 446 00:23:33,080 --> 00:23:33,800 Speaker 4: go have some fun. 447 00:23:34,080 --> 00:23:37,080 Speaker 1: Right, Yeah, that's not good. And give me a minute 448 00:23:37,119 --> 00:23:41,040 Speaker 1: on like what you think, like what guardrails there are 449 00:23:41,080 --> 00:23:43,720 Speaker 1: still left? 450 00:23:44,560 --> 00:23:45,639 Speaker 3: My dog's thought something. 451 00:23:45,840 --> 00:23:47,000 Speaker 1: Yeah, I thought it was fun. 452 00:23:47,280 --> 00:23:49,200 Speaker 4: I think there are three guardrails we always counted on 453 00:23:49,240 --> 00:23:52,640 Speaker 4: in this country, principal political opposition, a strong press. 454 00:23:52,640 --> 00:23:56,640 Speaker 1: Being dismantled, and the courts right being ignored. 455 00:23:56,880 --> 00:24:00,639 Speaker 4: Right now, there is no action that is being in 456 00:24:00,680 --> 00:24:04,119 Speaker 4: the courts to my mind, that is going to be 457 00:24:04,280 --> 00:24:07,679 Speaker 4: honored by the Trump administration. I don't think these people 458 00:24:07,960 --> 00:24:11,280 Speaker 4: have a single intention to say, yeah, you know what, 459 00:24:11,320 --> 00:24:13,360 Speaker 4: we got a federal court order, elon, give us back 460 00:24:13,359 --> 00:24:15,760 Speaker 4: those hard drives with everybody's Social Security data on them. 461 00:24:16,640 --> 00:24:18,960 Speaker 4: I don't think there's a single chance of that. And look, 462 00:24:19,080 --> 00:24:21,720 Speaker 4: there is no honor inside the Republican Party. They do 463 00:24:21,760 --> 00:24:24,280 Speaker 4: not care. They care about Donald Trump. They will not 464 00:24:24,480 --> 00:24:29,800 Speaker 4: ever cross Donald Trump, but they don't care about anything else. 465 00:24:30,160 --> 00:24:30,680 Speaker 3: Right now. 466 00:24:30,880 --> 00:24:34,400 Speaker 4: They are completely oblivious or what not, Well, not oblivious, 467 00:24:34,400 --> 00:24:37,240 Speaker 4: they're completely callous in the way that they're treating everything 468 00:24:37,280 --> 00:24:39,600 Speaker 4: else in this country. And I think we're in a 469 00:24:39,600 --> 00:24:43,840 Speaker 4: lot of trouble because institutions and the media is And 470 00:24:43,880 --> 00:24:46,399 Speaker 4: I am not a media basher for the five million 471 00:24:46,359 --> 00:24:48,960 Speaker 4: of time, but I think the media has not met 472 00:24:49,000 --> 00:24:51,280 Speaker 4: this moment. I think they are still playing the game 473 00:24:51,560 --> 00:24:54,639 Speaker 4: of allowing a lot of Trump people to go on 474 00:24:54,680 --> 00:24:57,760 Speaker 4: TV and to talk off the record to newspapers, and 475 00:24:57,800 --> 00:25:01,280 Speaker 4: they're not presenting with the Americans with a fo implications 476 00:25:01,320 --> 00:25:04,560 Speaker 4: and context of what's happening to our country. I think 477 00:25:04,600 --> 00:25:07,479 Speaker 4: it is so dangerous right now that we don't have 478 00:25:07,600 --> 00:25:09,920 Speaker 4: a press that's willing to go in the briefing room 479 00:25:09,960 --> 00:25:13,240 Speaker 4: every day and not say. Some people say Elon Musk 480 00:25:13,359 --> 00:25:16,600 Speaker 4: is cutting central government programs, but others say he's cutting 481 00:25:17,000 --> 00:25:19,399 Speaker 4: Fuck you go in there and call it out for 482 00:25:19,440 --> 00:25:22,480 Speaker 4: what it is. This is a takeover of our government 483 00:25:22,760 --> 00:25:26,600 Speaker 4: by insane people, and they are doing things that are 484 00:25:26,920 --> 00:25:30,800 Speaker 4: materially harmful to the people of the United States. How 485 00:25:30,840 --> 00:25:33,680 Speaker 4: hard is that to understand? That, to my mind, is 486 00:25:33,920 --> 00:25:36,800 Speaker 4: one of the great sort of failings we're having as 487 00:25:36,800 --> 00:25:38,200 Speaker 4: a nation right right. 488 00:25:38,200 --> 00:25:41,280 Speaker 1: No now, I mean exactly, and I think we're going 489 00:25:41,359 --> 00:25:42,159 Speaker 1: to see more of that. 490 00:25:42,400 --> 00:25:45,480 Speaker 4: Rick Wilson Moly John Fast A pleasure as always. 491 00:25:47,680 --> 00:25:52,200 Speaker 1: Josh Miller Lewis is the senior director of more Perfect Union. 492 00:25:52,800 --> 00:25:54,879 Speaker 1: Welcome to Fast Politics. 493 00:25:54,440 --> 00:25:56,440 Speaker 6: Josh, thanks Molly, thanks for having me. 494 00:25:56,640 --> 00:25:59,520 Speaker 1: So first we're going to talk about you are the 495 00:26:00,040 --> 00:26:00,360 Speaker 1: what is. 496 00:26:00,320 --> 00:26:04,639 Speaker 6: Your title, senior editorial director at more Perfect Union, but you. 497 00:26:04,760 --> 00:26:08,200 Speaker 1: Come from the world of Bernie Sanders, which I think 498 00:26:08,560 --> 00:26:13,280 Speaker 1: is important to inform the sort of populist, pro union 499 00:26:14,040 --> 00:26:17,080 Speaker 1: wing of the Democratic Party. Is that fair? I feel 500 00:26:17,080 --> 00:26:19,200 Speaker 1: like that is narrow, but it's fair. 501 00:26:19,480 --> 00:26:20,560 Speaker 6: Yeah. Absolutely. 502 00:26:21,040 --> 00:26:24,600 Speaker 1: So First, let's talk about this lobbying firm. You shocked 503 00:26:24,640 --> 00:26:28,480 Speaker 1: to see that Donald Trump is once again in bed 504 00:26:28,480 --> 00:26:31,440 Speaker 1: with lobbyist when we were told that he was too 505 00:26:31,560 --> 00:26:33,840 Speaker 1: rich to be corrupted in any way. 506 00:26:34,240 --> 00:26:34,680 Speaker 3: Shocked? 507 00:26:35,280 --> 00:26:35,760 Speaker 1: Shocked? 508 00:26:36,200 --> 00:26:38,440 Speaker 6: Yeah, No, I mean so. I think one of the big, 509 00:26:38,720 --> 00:26:42,000 Speaker 6: sort of undercovered pieces of this administration so far right 510 00:26:42,119 --> 00:26:45,200 Speaker 6: is their relationship with lobbyists in K Street. And as 511 00:26:45,240 --> 00:26:48,760 Speaker 6: you said, trumb on the campaign trail, attack the influence 512 00:26:48,760 --> 00:26:53,679 Speaker 6: of lobbyists. He told his followers that lobbyists play a 513 00:26:53,800 --> 00:26:55,520 Speaker 6: terrible role in Washington. 514 00:26:56,080 --> 00:26:58,840 Speaker 7: And as soon as he got elected, he named Susie 515 00:26:58,880 --> 00:27:02,040 Speaker 7: Wiles as his chief step right. And Susie Wiles comes 516 00:27:02,040 --> 00:27:06,280 Speaker 7: from Ballard Partners, big lobbying firm, big Trump backers since 517 00:27:06,480 --> 00:27:10,199 Speaker 7: the early days in twenty fifteen. It won't surprise you 518 00:27:10,359 --> 00:27:14,280 Speaker 7: that in the days after Trump was elected and after 519 00:27:14,320 --> 00:27:17,119 Speaker 7: he named Susie Wiles as his chiefest staff and another 520 00:27:17,200 --> 00:27:22,720 Speaker 7: Ballard partner, Ham Bondy as his Attorney general, that corporations 521 00:27:22,840 --> 00:27:28,359 Speaker 7: have flocked to Ballard Partners. They have added I believe 522 00:27:28,600 --> 00:27:31,760 Speaker 7: the last time I saw forty one new clients since 523 00:27:31,800 --> 00:27:34,720 Speaker 7: Trump was elected. And just to give you some context, 524 00:27:34,840 --> 00:27:37,840 Speaker 7: I think the next highest firm has added fourteen new 525 00:27:37,840 --> 00:27:40,960 Speaker 7: clients in that period. So this is clear that corporate 526 00:27:41,000 --> 00:27:45,600 Speaker 7: America sees a path to influence the Trump administration through 527 00:27:45,720 --> 00:27:48,640 Speaker 7: Ballard Partners and through the connections that they now. 528 00:27:48,520 --> 00:27:52,879 Speaker 6: Have at the highest levels of the administration. And you know, 529 00:27:52,880 --> 00:27:56,040 Speaker 6: I think the firms that have been signing up with 530 00:27:56,600 --> 00:27:59,560 Speaker 6: Ballard Partners tell us a little bit about as well, 531 00:27:59,600 --> 00:28:02,399 Speaker 6: about out what the key fights are going to be 532 00:28:02,640 --> 00:28:04,160 Speaker 6: over the next four years. 533 00:28:04,359 --> 00:28:08,679 Speaker 1: Oh that, yes, that is exactly the kind of stuff 534 00:28:08,680 --> 00:28:12,880 Speaker 1: that I'm so interested in because I want to know 535 00:28:13,000 --> 00:28:16,359 Speaker 1: what are the fights for the next four years. Prayer 536 00:28:16,440 --> 00:28:19,639 Speaker 1: hands that he leaves after four years, So tell me. 537 00:28:19,920 --> 00:28:22,280 Speaker 1: I'm not even kidding. I'm just sick about this. 538 00:28:22,960 --> 00:28:24,560 Speaker 6: No, I think there's a few things that, like you 539 00:28:24,640 --> 00:28:27,920 Speaker 6: start to some of this, you know, we're seeing already 540 00:28:27,920 --> 00:28:30,760 Speaker 6: start to play out. But tax cuts obviously is at 541 00:28:30,800 --> 00:28:33,040 Speaker 6: the top of the list, right, and Chevron is a 542 00:28:33,080 --> 00:28:36,760 Speaker 6: big ballot client. They I think they saved two billion 543 00:28:36,840 --> 00:28:40,840 Speaker 6: dollars alone in one year. After the first Trump tax 544 00:28:40,880 --> 00:28:43,640 Speaker 6: cuts are put in place in twenty seventeen, they stand 545 00:28:43,680 --> 00:28:46,600 Speaker 6: to save, you know, billions and billions of dollars sift 546 00:28:46,640 --> 00:28:49,320 Speaker 6: the TOX cuts are extended along with the rest of 547 00:28:49,360 --> 00:28:54,920 Speaker 6: corporate America. Crypto is just huge topic over the next 548 00:28:54,920 --> 00:28:57,520 Speaker 6: four years. Is a number of crypto companies that signed 549 00:28:57,600 --> 00:29:01,960 Speaker 6: up with balot Right, Ripple Labs, Blockchain, and Kraken. They've 550 00:29:02,000 --> 00:29:05,520 Speaker 6: all signed up. The Ripple ceo actually met with Trump. 551 00:29:05,560 --> 00:29:08,640 Speaker 6: Brad growing House he met with Trump after the election 552 00:29:08,800 --> 00:29:11,160 Speaker 6: and Trump said that the US will be the crypto 553 00:29:11,200 --> 00:29:14,480 Speaker 6: capital of the planet. And the question of well, what 554 00:29:14,520 --> 00:29:17,200 Speaker 6: do they want? Why should we care about crypto? I 555 00:29:17,200 --> 00:29:20,520 Speaker 6: don't own any crypto. Well, I think that the crypto 556 00:29:20,760 --> 00:29:26,200 Speaker 6: is intent on infiltrating the global financial system. And so 557 00:29:26,280 --> 00:29:29,760 Speaker 6: whether you own crypto or not, I think you have 558 00:29:29,840 --> 00:29:34,360 Speaker 6: to be concerned that this asset that is really not 559 00:29:34,600 --> 00:29:39,160 Speaker 6: based in anything meaningful, that is really just used for 560 00:29:39,280 --> 00:29:43,520 Speaker 6: fraud and scams. That they were prosecuted during the proNT 561 00:29:43,600 --> 00:29:47,200 Speaker 6: during the Biden administration for rampant fraud and obviously stand 562 00:29:47,200 --> 00:29:50,120 Speaker 6: Making Free is the highest profile example of that this 563 00:29:50,320 --> 00:29:53,560 Speaker 6: asset could your your retirement savings, your four oh one 564 00:29:53,640 --> 00:29:57,000 Speaker 6: K could end up ultimately being tied to this bubble 565 00:29:57,040 --> 00:29:59,960 Speaker 6: that could collapse at any moment. But in the meantime 566 00:30:00,400 --> 00:30:03,040 Speaker 6: they stand to get very, very wealthy in their very 567 00:30:03,080 --> 00:30:07,440 Speaker 6: intent on influencing the direction of the Trump administration. Tariff's 568 00:30:07,520 --> 00:30:12,120 Speaker 6: is obviously another huge issue. Right number of big importers 569 00:30:12,200 --> 00:30:16,080 Speaker 6: have signed up with Ballard over the last couple of months. 570 00:30:16,160 --> 00:30:18,480 Speaker 6: And the thing that I you know, there's this whole 571 00:30:18,520 --> 00:30:20,480 Speaker 6: debate around tarifs, but the thing that I think is 572 00:30:20,520 --> 00:30:24,360 Speaker 6: not getting enough attention is there was a study after 573 00:30:24,560 --> 00:30:30,080 Speaker 6: the last Trump administration that found that companies that had 574 00:30:30,280 --> 00:30:36,400 Speaker 6: ties to Republican lobbying firms got more tariff exemptions from 575 00:30:36,400 --> 00:30:40,200 Speaker 6: the Trump administration than any other company. There's an enormous 576 00:30:40,240 --> 00:30:44,920 Speaker 6: amount of corruption that's happening within these tariffs that are 577 00:30:45,760 --> 00:30:48,240 Speaker 6: where the Trump administration in the first term at least 578 00:30:48,720 --> 00:30:53,920 Speaker 6: was dolling out favors to companies that were associated with 579 00:30:53,960 --> 00:30:58,160 Speaker 6: the Republican Party. And I fully expect that that same 580 00:30:58,280 --> 00:31:00,600 Speaker 6: thing will play out in this administration. And I think 581 00:31:00,640 --> 00:31:02,520 Speaker 6: we have to look hard at sort of the corruption 582 00:31:02,640 --> 00:31:05,440 Speaker 6: that that is happening again as a result of the 583 00:31:05,440 --> 00:31:09,800 Speaker 6: connection between Trump and big lobbying firms. And then last, 584 00:31:09,880 --> 00:31:13,280 Speaker 6: the last thing to highlight is another consumer protection piece, 585 00:31:13,600 --> 00:31:17,600 Speaker 6: the Consumer Financial Protection Bureau, which has played an enormously 586 00:31:17,640 --> 00:31:22,240 Speaker 6: important role in saving millions of Americans' money and protecting 587 00:31:22,240 --> 00:31:24,760 Speaker 6: them from corporate scams. This is they have been a 588 00:31:24,760 --> 00:31:29,280 Speaker 6: big target by Zuckerberg, by Mark Andresen. And there's a 589 00:31:29,360 --> 00:31:32,680 Speaker 6: number of firms under disguise of dbanking, which we could 590 00:31:32,680 --> 00:31:35,440 Speaker 6: talk about more firms that are are signing up with 591 00:31:35,520 --> 00:31:39,840 Speaker 6: Ballard and are ultimately interested in, in Elon Musk's words, 592 00:31:39,880 --> 00:31:41,120 Speaker 6: deleting the CFPB. 593 00:31:41,680 --> 00:31:45,680 Speaker 1: Right, No, I mean for sure that these are all 594 00:31:45,720 --> 00:31:49,560 Speaker 1: really interesting. The cutouts for tariffs, we saw that a 595 00:31:49,560 --> 00:31:51,959 Speaker 1: lot in Trump one point zero and Trump two point zero. 596 00:31:52,000 --> 00:31:54,800 Speaker 1: They said they weren't going to have cutouts for tariffs, right. 597 00:31:55,200 --> 00:31:57,080 Speaker 3: L L Yeah, we'll see. 598 00:31:57,080 --> 00:31:59,560 Speaker 6: But you know, there's there's a reason I think that 599 00:32:00,280 --> 00:32:04,120 Speaker 6: Tim Cook and Jeff Bezos and all of these people 600 00:32:04,120 --> 00:32:07,560 Speaker 6: who are heavily reliant on producing stuff in China are 601 00:32:07,600 --> 00:32:10,320 Speaker 6: all of a sudden big bands of Donald Trump, right. 602 00:32:10,760 --> 00:32:15,520 Speaker 6: And famously, Apple got huge cut out carveouts in the first. 603 00:32:15,440 --> 00:32:18,479 Speaker 1: Yeah, for the iPhone, and that seems really like an 604 00:32:18,480 --> 00:32:22,920 Speaker 1: important point. And again this goes into this cleptocracy thing, right, 605 00:32:22,960 --> 00:32:27,720 Speaker 1: picking winners and losers. Trump Ism is an embraceive crony capitalism, 606 00:32:27,960 --> 00:32:31,959 Speaker 1: and the gas company is super interesting. Donald Trump is 607 00:32:32,120 --> 00:32:36,040 Speaker 1: funded though by Elon Musk. Right, Elon Musk made billions 608 00:32:36,080 --> 00:32:41,440 Speaker 1: of dollars in climate change subsidies because irony is alive, 609 00:32:41,480 --> 00:32:45,480 Speaker 1: and well, how does this not collide? Right, Donald Trump 610 00:32:45,520 --> 00:32:48,160 Speaker 1: is in the pocket of the oil company. He's always 611 00:32:48,280 --> 00:32:51,480 Speaker 1: has been, right, we had Rex Tillerson and the first 612 00:32:51,560 --> 00:32:55,400 Speaker 1: Trump admin did not even try to hide it. So 613 00:32:55,680 --> 00:32:58,520 Speaker 1: explain to me the tension there and how you see 614 00:32:58,560 --> 00:33:03,480 Speaker 1: that playing at tension between the tension between Elon and Exon. 615 00:33:03,880 --> 00:33:05,920 Speaker 6: Yeah, it's an interesting thing, But I mean, I think 616 00:33:05,960 --> 00:33:10,040 Speaker 6: there's some interesting things going on though with Tesla. Obviously, 617 00:33:11,040 --> 00:33:16,160 Speaker 6: Tesla benefited enormously, as you were saying, from you know, 618 00:33:16,280 --> 00:33:20,239 Speaker 6: carbon tax credits and that that sort of regime. Right, 619 00:33:20,280 --> 00:33:22,520 Speaker 6: They've sort of built a huge part of their business 620 00:33:22,560 --> 00:33:26,520 Speaker 6: and their revenue on trading like carbon tax credits. But 621 00:33:27,200 --> 00:33:30,480 Speaker 6: I also think in some ways Tesla has benefited the 622 00:33:30,600 --> 00:33:35,320 Speaker 6: least of all the electric car companies from the inflation 623 00:33:35,440 --> 00:33:39,640 Speaker 6: reduction app that Biden passed and this move to promote 624 00:33:39,720 --> 00:33:43,120 Speaker 6: electric vehicles. They've lost an enormous amount of market share 625 00:33:43,400 --> 00:33:46,160 Speaker 6: over the last couple of years as other companies like 626 00:33:46,240 --> 00:33:49,719 Speaker 6: Hyundai and US companies like GM have ramped up their 627 00:33:49,760 --> 00:33:54,680 Speaker 6: electric vehicle output and started to produce better cars. And 628 00:33:55,080 --> 00:33:59,200 Speaker 6: I do think that Elon and Tesla to some extent 629 00:33:59,280 --> 00:34:03,720 Speaker 6: have an intro in undermining the progress that was made 630 00:34:03,720 --> 00:34:07,960 Speaker 6: by the RA because they had such a strong foothold 631 00:34:08,000 --> 00:34:12,399 Speaker 6: already in this market. The competition is actually ultimately bad 632 00:34:12,480 --> 00:34:14,080 Speaker 6: for Tesla. 633 00:34:13,480 --> 00:34:18,600 Speaker 1: Right, Yeah, so Elon has Tesla, he has SpaceX, he 634 00:34:18,800 --> 00:34:23,000 Speaker 1: has Twitter. Whatever. That's I think kind of a rounding error. 635 00:34:23,360 --> 00:34:26,480 Speaker 1: But I wonder if you can explain to us, you know, 636 00:34:26,520 --> 00:34:27,799 Speaker 1: there are a lot of different things in the case 637 00:34:27,840 --> 00:34:32,160 Speaker 1: and how Elon is sort of functioning in this Trump government. 638 00:34:32,200 --> 00:34:34,759 Speaker 1: But part of it, right, is that he's there for 639 00:34:34,800 --> 00:34:37,200 Speaker 1: his companies, right. Part of it is that he's there 640 00:34:37,200 --> 00:34:39,400 Speaker 1: for power or part of But if he has all 641 00:34:39,400 --> 00:34:41,560 Speaker 1: these companies, and he does have a vested interest, and 642 00:34:41,600 --> 00:34:43,759 Speaker 1: we have all of these different players all who have 643 00:34:43,880 --> 00:34:46,640 Speaker 1: vested interests, right, So, and you talked about this before. 644 00:34:46,640 --> 00:34:50,480 Speaker 1: Tim Cook wants car Vattes for China, and you know, 645 00:34:50,600 --> 00:34:53,640 Speaker 1: you have Andreas and Horowitz has a bunch of portfolio companies. 646 00:34:53,840 --> 00:34:57,360 Speaker 1: They're just everybody has these different instant different you know, 647 00:34:57,360 --> 00:34:59,680 Speaker 1: they're all sort of trying to curry favor with the 648 00:34:59,760 --> 00:35:03,040 Speaker 1: ma King in order to get what they want because 649 00:35:03,080 --> 00:35:06,480 Speaker 1: Trump is very transactional. So what do you think and 650 00:35:06,680 --> 00:35:09,400 Speaker 1: since you sort of know all these companies Elon is 651 00:35:09,480 --> 00:35:12,480 Speaker 1: doing in the federal government, because you know, from what 652 00:35:12,640 --> 00:35:15,239 Speaker 1: I understand for the people I know who used to 653 00:35:15,280 --> 00:35:17,920 Speaker 1: know him well, of which I know one person, my 654 00:35:18,120 --> 00:35:21,520 Speaker 1: sense is that he cares the most about his companies. 655 00:35:22,080 --> 00:35:25,480 Speaker 1: I mean also his weird political stuff, but his companies. 656 00:35:25,560 --> 00:35:28,000 Speaker 1: So my question is, what do you think the sort 657 00:35:28,000 --> 00:35:28,680 Speaker 1: of goal there is. 658 00:35:29,120 --> 00:35:31,000 Speaker 6: Yeah, that's a great question. I mean, I think all 659 00:35:31,000 --> 00:35:33,080 Speaker 6: you have to do to understand this is look at 660 00:35:33,080 --> 00:35:36,399 Speaker 6: the agencies that he's going after, and recently came out 661 00:35:36,480 --> 00:35:39,000 Speaker 6: right that he the Department of Labor is his next 662 00:35:39,080 --> 00:35:43,080 Speaker 6: target with do Oche, and you look at the labor 663 00:35:43,160 --> 00:35:46,759 Speaker 6: violations that his companies have had over the years. There's 664 00:35:46,800 --> 00:35:51,480 Speaker 6: been workers who die building a Tesla gigafactory at Osha investigated. 665 00:35:52,000 --> 00:35:56,080 Speaker 6: You have Tesla, which has been notoriously anti union. Mosque 666 00:35:56,080 --> 00:35:59,239 Speaker 6: has talked about how he doesn't believe in unions when 667 00:35:59,239 --> 00:36:02,319 Speaker 6: they have fired where workers for unionizing, They've come under 668 00:36:02,360 --> 00:36:06,800 Speaker 6: fire from the NLRB. SpaceX has also been under fire 669 00:36:06,880 --> 00:36:12,040 Speaker 6: for labor violations, a total lack of regard for environmental regulations, 670 00:36:12,120 --> 00:36:15,400 Speaker 6: and you know, really, I think negatively impacted the community 671 00:36:15,840 --> 00:36:18,520 Speaker 6: in Texas that they operate in. You don't see him 672 00:36:18,520 --> 00:36:21,719 Speaker 6: going after the Defense Department where he gets you know, 673 00:36:22,360 --> 00:36:26,040 Speaker 6: billions and billions of dollars in contracts from for SpaceX 674 00:36:26,080 --> 00:36:31,160 Speaker 6: and Starlink. You don't see him going after the agencies 675 00:36:31,200 --> 00:36:35,360 Speaker 6: that ultimately are very beneficial to his business and those contracts. 676 00:36:35,440 --> 00:36:40,880 Speaker 6: But he is intent on tearing down, you know, important 677 00:36:41,280 --> 00:36:47,000 Speaker 6: parts of the federal government that defend workers, that encourage unionization, 678 00:36:47,239 --> 00:36:49,520 Speaker 6: to make sure workers are and it's it's I think, 679 00:36:49,880 --> 00:36:54,080 Speaker 6: clearly ultimately to benefit his company. And you know, I'll 680 00:36:54,080 --> 00:36:56,239 Speaker 6: say this too. I don't think it's just Elon Musk. 681 00:36:56,280 --> 00:37:00,600 Speaker 6: I think all of this sort of tech billion airs 682 00:37:01,000 --> 00:37:05,399 Speaker 6: and major chech corporations that are involved in the Trump 683 00:37:05,480 --> 00:37:10,080 Speaker 6: administration are engaged in a similar effort. They want their 684 00:37:10,120 --> 00:37:13,280 Speaker 6: piece of the pie, and they want to strip away 685 00:37:13,840 --> 00:37:18,040 Speaker 6: the important parts of the federal government that stop sort 686 00:37:18,040 --> 00:37:22,359 Speaker 6: of their rule breaking, in fraud and lawlessness, and they 687 00:37:22,360 --> 00:37:25,040 Speaker 6: see this as their opportunity. With Trump, we're. 688 00:37:24,840 --> 00:37:27,880 Speaker 1: Into Lena Khan world. And I want you and I 689 00:37:28,000 --> 00:37:31,600 Speaker 1: to talk about Lena Khan because Lena Khan has made 690 00:37:31,680 --> 00:37:34,400 Speaker 1: all the very rich people very mad. This is like, 691 00:37:34,480 --> 00:37:37,520 Speaker 1: I feel like a great moment from the Biden administration. 692 00:37:37,640 --> 00:37:42,400 Speaker 1: Here is the most important probably person in the admin 693 00:37:42,440 --> 00:37:45,480 Speaker 1: in certain ways. Right, She's a trustbuster. She has made 694 00:37:45,600 --> 00:37:49,839 Speaker 1: everyone furious with her who's wealthy, and in the end, 695 00:37:50,480 --> 00:37:53,920 Speaker 1: the people who would have benefited from what she's doing 696 00:37:54,000 --> 00:37:58,680 Speaker 1: didn't even know she was there. So make us understand. 697 00:37:59,000 --> 00:38:02,360 Speaker 1: Because you come from world Bernie, I think was the 698 00:38:02,480 --> 00:38:07,239 Speaker 1: last time that Democrats were able to connect with populism, 699 00:38:07,280 --> 00:38:12,600 Speaker 1: despite the fact that their legislation is almost entirely populist. 700 00:38:12,920 --> 00:38:16,879 Speaker 1: So make it make sense why they can't, how they 701 00:38:16,960 --> 00:38:19,000 Speaker 1: could and anything else we want to talk on this 702 00:38:19,040 --> 00:38:19,720 Speaker 1: topic about. 703 00:38:19,960 --> 00:38:23,120 Speaker 6: Yeah, I think one of the things that populists need 704 00:38:23,200 --> 00:38:26,520 Speaker 6: to do, and I think Lena Conda quite well was. 705 00:38:26,760 --> 00:38:28,960 Speaker 3: Root her effort and her. 706 00:38:28,880 --> 00:38:32,960 Speaker 6: Work in the fights and the issues that millions of 707 00:38:33,000 --> 00:38:36,480 Speaker 6: working class people are concerned about. You look at her 708 00:38:36,840 --> 00:38:41,719 Speaker 6: efforts around housing, efforts to take on big corporate landlords 709 00:38:41,960 --> 00:38:44,640 Speaker 6: or this wasn't her who was DOJ and Cantor, but 710 00:38:45,080 --> 00:38:49,400 Speaker 6: efforts to take on companies like Real Page incredibly powerful 711 00:38:49,440 --> 00:38:53,680 Speaker 6: work that was rooted in essential an issue that millions 712 00:38:53,719 --> 00:38:55,760 Speaker 6: and millions of people are concerned about in this country, 713 00:38:55,800 --> 00:38:59,919 Speaker 6: housing affordability. And you're totally right that it is. It's 714 00:39:00,160 --> 00:39:03,879 Speaker 6: so painful to me that one of I really think 715 00:39:03,880 --> 00:39:06,440 Speaker 6: one of the most effective communicators and someone in the 716 00:39:06,480 --> 00:39:09,960 Speaker 6: administration who was engaged in some of the most important 717 00:39:10,000 --> 00:39:12,719 Speaker 6: fights in this country taking on big tech companies that 718 00:39:12,760 --> 00:39:15,600 Speaker 6: have become increasingly powerful. And you heard Joe Biden talk 719 00:39:15,640 --> 00:39:19,480 Speaker 6: about in his farewell speech. She didn't get the sort 720 00:39:19,520 --> 00:39:23,960 Speaker 6: of attention that it deserved. She wasn't uplifted by the 721 00:39:24,000 --> 00:39:26,600 Speaker 6: president on a daily basis. The fights that she was 722 00:39:26,680 --> 00:39:29,920 Speaker 6: engaged in were sort of relegated to the background. And 723 00:39:30,000 --> 00:39:35,000 Speaker 6: I think that if you're going to build a populist movement, 724 00:39:35,800 --> 00:39:39,200 Speaker 6: we can learn a lot from the sorts of fights 725 00:39:39,239 --> 00:39:43,560 Speaker 6: in the ways that Lena Khan engaged during the administration. 726 00:39:43,680 --> 00:39:47,879 Speaker 6: But it is really important that we talk about that 727 00:39:47,880 --> 00:39:51,200 Speaker 6: that it is front and center that the fights with 728 00:39:51,400 --> 00:39:56,560 Speaker 6: corporate America on behalf of working families are centered in 729 00:39:56,600 --> 00:39:59,760 Speaker 6: our politics and not something that we try to hide 730 00:40:00,120 --> 00:40:03,200 Speaker 6: too often. I feel like Democrats are afraid of that tension. 731 00:40:03,520 --> 00:40:07,239 Speaker 6: They're afraid to have a fight, and the fights are 732 00:40:07,239 --> 00:40:11,000 Speaker 6: what animate and tell people what we care about. They're 733 00:40:11,080 --> 00:40:16,000 Speaker 6: so important to helping people understand what side the Democratic 734 00:40:16,080 --> 00:40:19,640 Speaker 6: Party is on, who we're fighting for, and what we're 735 00:40:19,640 --> 00:40:21,759 Speaker 6: fighting for. And Trump does this every single day and 736 00:40:21,800 --> 00:40:23,560 Speaker 6: it's incredibly effective. Yeah. 737 00:40:23,880 --> 00:40:28,239 Speaker 1: That's my real question is when you're looking at these 738 00:40:29,160 --> 00:40:32,600 Speaker 1: you know, there's almost populous legislation, right, I mean that's 739 00:40:32,640 --> 00:40:36,520 Speaker 1: what it is. You know, a lot of populous legislation 740 00:40:37,000 --> 00:40:41,200 Speaker 1: boost up the economy. Really, you know, sort of writed 741 00:40:41,239 --> 00:40:43,640 Speaker 1: a lot of the mistakes from two thousand and eight. Yeah, 742 00:40:43,800 --> 00:40:46,759 Speaker 1: but could not or would not transmit any of that 743 00:40:47,200 --> 00:40:48,200 Speaker 1: to the American people. 744 00:40:48,640 --> 00:40:53,600 Speaker 6: Yeah. No, we obviously suffered from an inability to communicate 745 00:40:53,920 --> 00:40:57,719 Speaker 6: what we were trying to do, and fundamentally, I think 746 00:40:57,800 --> 00:41:01,960 Speaker 6: outline a vision for what we want America to look like, 747 00:41:02,080 --> 00:41:06,080 Speaker 6: who we care about, the ways in which the system 748 00:41:06,160 --> 00:41:10,359 Speaker 6: is broken, and how we were attempting to fix it. 749 00:41:10,560 --> 00:41:12,960 Speaker 6: I just don't I'm not sure. I do think that 750 00:41:13,040 --> 00:41:15,719 Speaker 6: there was a vision in an ideology that was attached 751 00:41:15,760 --> 00:41:19,040 Speaker 6: to a lot of the progress that President Biden made, 752 00:41:19,440 --> 00:41:23,000 Speaker 6: but it was not communicated to people. And I think 753 00:41:23,080 --> 00:41:26,239 Speaker 6: going forward, as we think about, you know, how we 754 00:41:26,280 --> 00:41:29,160 Speaker 6: respond to Trump and how we sort of rebuild the 755 00:41:29,200 --> 00:41:33,560 Speaker 6: Democratic Party, we need to do more than just reject 756 00:41:33,760 --> 00:41:37,760 Speaker 6: what Trump has to say. We need to actually build 757 00:41:38,480 --> 00:41:44,080 Speaker 6: an agenda that engages in the most important fights and 758 00:41:44,719 --> 00:41:48,640 Speaker 6: outlines a vision for the American people about what the 759 00:41:48,680 --> 00:41:52,480 Speaker 6: core issues are the Democratic Party stands out. I think 760 00:41:52,520 --> 00:41:55,160 Speaker 6: if we're just in this resistance mode, if we're just 761 00:41:55,239 --> 00:41:58,880 Speaker 6: in it reject everything Trump does if he's bad, sure 762 00:41:58,960 --> 00:42:01,400 Speaker 6: we might be able to win in four years, but 763 00:42:01,520 --> 00:42:03,520 Speaker 6: are we going to actually be able to rebuild a 764 00:42:03,560 --> 00:42:09,080 Speaker 6: working class coalition that can win elections in eight years 765 00:42:09,520 --> 00:42:12,239 Speaker 6: in twelve years? I don't think so. I think there 766 00:42:12,280 --> 00:42:16,080 Speaker 6: has to be some real sort of agenda setting and 767 00:42:16,640 --> 00:42:21,719 Speaker 6: we need to reckon with why the Democratic Party has 768 00:42:21,960 --> 00:42:24,920 Speaker 6: lost working class people over the last twenty years. 769 00:42:25,400 --> 00:42:30,080 Speaker 1: Yes, one hundred percent. And also again they voted for 770 00:42:30,160 --> 00:42:34,600 Speaker 1: the guy who wanted to do tax cuts for billionaires 771 00:42:34,800 --> 00:42:38,960 Speaker 1: because they thought he'd be better for workers. So like, 772 00:42:39,200 --> 00:42:44,680 Speaker 1: obviously something is going terribly wrong here, right, I mean. 773 00:42:45,120 --> 00:42:48,800 Speaker 6: Well, I think fundamentally though, Like, what it's really about 774 00:42:49,040 --> 00:42:51,560 Speaker 6: is people are pissed off with the status quo. I 775 00:42:51,600 --> 00:42:55,440 Speaker 6: really don't think that it's about Donald Trump in particular. 776 00:42:55,719 --> 00:42:58,520 Speaker 6: Starting in two thousand and eight, basically people were frustrated 777 00:42:58,520 --> 00:43:01,920 Speaker 6: with the status quo and wanted something fundamentally different, and 778 00:43:01,960 --> 00:43:05,080 Speaker 6: they elected Democrats and a landslide right twenty twelve of 779 00:43:05,080 --> 00:43:07,359 Speaker 6: them was able to hold on, But then you have 780 00:43:07,400 --> 00:43:10,760 Speaker 6: another rejection in twenty sixteen, another rejection in twenty twenty, 781 00:43:10,960 --> 00:43:13,200 Speaker 6: and then another rejection in twenty twenty four. We just 782 00:43:13,280 --> 00:43:15,600 Speaker 6: keep swinging on this pendulum, and the same thing is 783 00:43:15,640 --> 00:43:18,800 Speaker 6: playing out all over the world right where incumbents are losing. 784 00:43:19,120 --> 00:43:22,959 Speaker 6: The economic system has been broken now at least since 785 00:43:23,000 --> 00:43:26,120 Speaker 6: two thousand and eight. People want something different, They want 786 00:43:26,160 --> 00:43:29,520 Speaker 6: some sort of change. Neither party is offering that to them. 787 00:43:29,760 --> 00:43:32,880 Speaker 1: I just would add, I think you're right for sure, 788 00:43:33,120 --> 00:43:36,360 Speaker 1: But if you look at like government spending around social 789 00:43:36,400 --> 00:43:40,040 Speaker 1: safety net, one party did give it to them. I 790 00:43:40,080 --> 00:43:44,040 Speaker 1: mean again, wealth and equality, you know, we just not rising. 791 00:43:44,239 --> 00:43:47,799 Speaker 1: Inflation is the mind fucked and all mind fucks Like 792 00:43:47,840 --> 00:43:49,920 Speaker 1: I get it. I know what it's like to pay 793 00:43:50,320 --> 00:43:53,359 Speaker 1: you know, one hundred dollars more a week on groceries 794 00:43:53,440 --> 00:43:55,279 Speaker 1: or a month on groceries. I mean, I get it, 795 00:43:55,320 --> 00:43:57,960 Speaker 1: but I'm just saying that, like, if you look at 796 00:43:57,960 --> 00:44:00,520 Speaker 1: the numbers, perception is real reality. 797 00:44:00,880 --> 00:44:03,759 Speaker 6: Right, Yes, I agree with you. And this gets back 798 00:44:03,760 --> 00:44:05,520 Speaker 6: to what we were talking about earlier, right, And like 799 00:44:05,880 --> 00:44:09,480 Speaker 6: how do you brain your politics? How do you communicate 800 00:44:09,480 --> 00:44:12,160 Speaker 6: your politics? Do you engage in fights or do you 801 00:44:12,239 --> 00:44:14,880 Speaker 6: shy away from them? I think that that all contributes 802 00:44:14,920 --> 00:44:17,360 Speaker 6: to it. There's no question you're right that the Democratic 803 00:44:17,400 --> 00:44:20,239 Speaker 6: Party has done a lot and has tried to fight 804 00:44:20,280 --> 00:44:21,240 Speaker 6: for working people. 805 00:44:21,600 --> 00:44:24,399 Speaker 1: But it doesn't matter. If you can't transmit, it doesn't matter. 806 00:44:24,560 --> 00:44:24,880 Speaker 6: Josh. 807 00:44:25,120 --> 00:44:27,520 Speaker 1: I hope you will come back. This as really really 808 00:44:27,520 --> 00:44:28,719 Speaker 1: interesting for sure. 809 00:44:28,760 --> 00:44:29,960 Speaker 6: Yeah, thanks for having me. 810 00:44:32,280 --> 00:44:37,080 Speaker 1: No moment, Jesse Cannon. 811 00:44:37,120 --> 00:44:38,000 Speaker 3: Molly Jung Fast. 812 00:44:38,040 --> 00:44:41,680 Speaker 2: So we are seeing a lot of officials say fuck 813 00:44:41,800 --> 00:44:44,240 Speaker 2: off to Trump, trying to get them out of their seats, 814 00:44:44,440 --> 00:44:48,360 Speaker 2: and the latest is the FEC commissioner Ellen Wintrump, who's 815 00:44:48,360 --> 00:44:51,400 Speaker 2: considering her options after being ousted by Trump. 816 00:44:51,600 --> 00:44:53,479 Speaker 1: You know what part of this is that Trump doesn't 817 00:44:53,560 --> 00:44:57,120 Speaker 1: have the authority to do any of this extracurricular stuff. 818 00:44:57,120 --> 00:44:59,799 Speaker 1: He's not a king. He's part of the government and 819 00:44:59,800 --> 00:45:03,759 Speaker 1: now is I think a really important point here is 820 00:45:03,800 --> 00:45:07,080 Speaker 1: that we are really seeing like their right to not 821 00:45:07,320 --> 00:45:10,800 Speaker 1: do that. They're right to not let him go crazy 822 00:45:10,840 --> 00:45:15,000 Speaker 1: on stuff. So Ellen Wintrapp, she was put on this 823 00:45:15,520 --> 00:45:20,480 Speaker 1: bipartisan commission by George W. Bush. Woke George W. Bush Thursday. 824 00:45:20,600 --> 00:45:22,840 Speaker 1: She was fired by a brief letter. At least it 825 00:45:22,920 --> 00:45:25,399 Speaker 1: wasn't a tweet. She shared a copy of the letter 826 00:45:25,600 --> 00:45:28,080 Speaker 1: on X and she said, there's a legal way to 827 00:45:28,160 --> 00:45:31,760 Speaker 1: replace the FEC commissioner. This isn't it. I've been lucky 828 00:45:31,760 --> 00:45:34,880 Speaker 1: to serve the American people again. Look, this is this 829 00:45:35,160 --> 00:45:39,399 Speaker 1: idea that trump Ism wants to weaponize every part of 830 00:45:39,560 --> 00:45:43,759 Speaker 1: the federal government to protect Trump. And this should not 831 00:45:43,880 --> 00:45:47,400 Speaker 1: surprise anyone. This is what they do, right, This is 832 00:45:47,440 --> 00:45:49,239 Speaker 1: what they told us they were going to do, and 833 00:45:49,280 --> 00:45:52,200 Speaker 1: this is what they're doing. And none of us should 834 00:45:52,239 --> 00:45:55,320 Speaker 1: be surprised. And everyone is going to have to keep going. 835 00:45:55,400 --> 00:45:57,960 Speaker 1: Everyone is going to have to fight against this. There's 836 00:45:58,120 --> 00:46:03,440 Speaker 1: absolutely no reason that anyone should let this happen because 837 00:46:03,800 --> 00:46:06,360 Speaker 1: it's not right and it's not what they were elected 838 00:46:06,400 --> 00:46:10,560 Speaker 1: for and it's not constitutional. That's it for this episode 839 00:46:10,600 --> 00:46:16,680 Speaker 1: of Fast Politics. Tune in every Monday, Wednesday, Thursday and 840 00:46:16,960 --> 00:46:20,920 Speaker 1: Saturday to hear the best minds and politics make sense 841 00:46:20,960 --> 00:46:25,320 Speaker 1: of all this chaos. If you enjoy this podcast, please 842 00:46:25,360 --> 00:46:28,400 Speaker 1: send it to a friend and keep the conversation going. 843 00:46:28,880 --> 00:46:30,000 Speaker 1: Thanks for listening.