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 --> 00:00:08,000 Speaker 1: where we discussed the top political headlines and we have 3 00:00:08,119 --> 00:00:11,080 Speaker 1: such a great show for you today. Legendary campaign manager 4 00:00:11,119 --> 00:00:14,720 Speaker 1: Stewart Stevens stops by to talk about how Trump gas 5 00:00:14,800 --> 00:00:19,000 Speaker 1: lights us into thinking his policies are popular. Then we'll 6 00:00:19,000 --> 00:00:22,840 Speaker 1: talk to Massachusetts Governor Mora Healley on the real life 7 00:00:22,880 --> 00:00:26,000 Speaker 1: implications of Trump's careless cuts to the government but. 8 00:00:26,200 --> 00:00:31,000 Speaker 2: Versus the news SAMII, the woke Supreme Court. You know 9 00:00:31,120 --> 00:00:33,080 Speaker 2: a lot of people have wondered if they would stand up. 10 00:00:33,159 --> 00:00:35,880 Speaker 2: Apparently they don't stand up when they want when people 11 00:00:35,880 --> 00:00:37,800 Speaker 2: want to put poop in our water, but they do 12 00:00:37,960 --> 00:00:40,839 Speaker 2: deny the Trump administration's request to cancel two billion in 13 00:00:40,920 --> 00:00:41,360 Speaker 2: foreign eight. 14 00:00:41,600 --> 00:00:43,440 Speaker 1: You're still in the poop water. I see. 15 00:00:43,760 --> 00:00:44,880 Speaker 3: I am. 16 00:00:46,760 --> 00:00:52,159 Speaker 1: Got you very upset. So look, this is the only 17 00:00:52,320 --> 00:00:56,120 Speaker 1: thing we have standing between us and autocracy, and this 18 00:00:56,320 --> 00:01:00,240 Speaker 1: is Amy Cony Barrett. The good news is that one 19 00:01:00,320 --> 00:01:03,760 Speaker 1: of Trump's three justices is not a total lackey. The 20 00:01:03,960 --> 00:01:09,640 Speaker 1: bad news is she is very ideologically religious. So this 21 00:01:09,880 --> 00:01:14,160 Speaker 1: is do what you will. Thomas Alito will rubber stamp 22 00:01:14,280 --> 00:01:18,200 Speaker 1: anything that Donald Trump comes up with Gorsic unless it 23 00:01:18,240 --> 00:01:21,520 Speaker 1: has to do with Native Americans, and Brett Cavanaugh are 24 00:01:21,600 --> 00:01:27,200 Speaker 1: basically carbon copies of their older buddies. Amy is actually 25 00:01:27,319 --> 00:01:32,240 Speaker 1: smart and Roberts has already you know, this is just 26 00:01:32,400 --> 00:01:37,040 Speaker 1: his ill gotten legacy. So look, here's the story. Can 27 00:01:37,160 --> 00:01:43,640 Speaker 1: Trump as president cancel legislation passed by Congress? The answer 28 00:01:43,920 --> 00:01:47,840 Speaker 1: is constitutionally no, but Donald Trump doesn't care. Right, So 29 00:01:48,200 --> 00:01:52,600 Speaker 1: Elon Mush is doing all of these things. It's an 30 00:01:52,640 --> 00:01:57,040 Speaker 1: illegal right. Courts have said it's illegal, but now the 31 00:01:57,080 --> 00:01:59,600 Speaker 1: Supreme Court is saying it's illegal. So we have this 32 00:01:59,680 --> 00:02:03,280 Speaker 1: foreign I think that it will now the Supreme Court 33 00:02:03,360 --> 00:02:07,680 Speaker 1: has said that they have to continue to release it. 34 00:02:07,920 --> 00:02:11,440 Speaker 1: We'll see what happens. Because JD has already mused about 35 00:02:11,440 --> 00:02:16,360 Speaker 1: ignoring the courts again, one step closer to the constitutional crisis. 36 00:02:16,400 --> 00:02:20,120 Speaker 1: All of us see ourselves walking into fun times. 37 00:02:20,440 --> 00:02:24,040 Speaker 2: So Maria, as we know, one of the worst witnesses 38 00:02:24,080 --> 00:02:27,200 Speaker 2: against mister Trump, and he hates what people are witness 39 00:02:27,280 --> 00:02:30,600 Speaker 2: against him. Well is mister Trump himself, because he always 40 00:02:30,600 --> 00:02:32,600 Speaker 2: says things that are used to gets to a quarter 41 00:02:32,600 --> 00:02:33,520 Speaker 2: of law, like what you. 42 00:02:33,480 --> 00:02:34,079 Speaker 4: Missed a g. 43 00:02:34,280 --> 00:02:37,120 Speaker 2: Carroll for an ex wife of his, and so many 44 00:02:37,160 --> 00:02:40,280 Speaker 2: other occurrences where do you see it here, Doge. 45 00:02:40,480 --> 00:02:43,400 Speaker 1: Which you'll remember they had said in court that Elon 46 00:02:43,600 --> 00:02:47,040 Speaker 1: was not the head of well during this state of 47 00:02:47,120 --> 00:02:49,240 Speaker 1: the Union, though it's not called the state of a Union, 48 00:02:49,280 --> 00:02:53,720 Speaker 1: the joint addressed to Congress, Donald Trump said, and you'll 49 00:02:53,720 --> 00:02:56,280 Speaker 1: be shocked to hear this, I have created the brand 50 00:02:56,280 --> 00:03:00,320 Speaker 1: new Department of Government Efficiency, Doge. Perhaps you've heard of it, perhaps, 51 00:03:00,360 --> 00:03:03,560 Speaker 1: which is headed by Elon Musk, who is in the 52 00:03:03,600 --> 00:03:06,600 Speaker 1: gallery tonight. So there we go. They were saying that 53 00:03:06,639 --> 00:03:10,880 Speaker 1: it wasn't headed by Elon Musk, but now Trump has 54 00:03:10,880 --> 00:03:14,400 Speaker 1: said it is headed by Elon Musk, and this means 55 00:03:14,600 --> 00:03:18,160 Speaker 1: that it is, and that means that he is in charge. 56 00:03:18,600 --> 00:03:22,880 Speaker 1: And so now a lawyer is submitting new evidence in 57 00:03:22,880 --> 00:03:27,120 Speaker 1: this case against DOGE using Trump's own words, which is, 58 00:03:27,360 --> 00:03:30,200 Speaker 1: of course, one of Trump's biggest problems is when he 59 00:03:30,400 --> 00:03:31,880 Speaker 1: testifies against himself. 60 00:03:32,080 --> 00:03:34,480 Speaker 2: It's not the first time, that's for sure as well. 61 00:03:34,520 --> 00:03:37,280 Speaker 2: Though one of those things, you know, he loves his 62 00:03:37,400 --> 00:03:41,160 Speaker 2: beautiful vets. Yet the Trump administration plans to cut eighty 63 00:03:41,240 --> 00:03:44,200 Speaker 2: thousand employees from veteran affairs, according to Eternal Memo. 64 00:03:44,520 --> 00:03:47,840 Speaker 1: You know, here's the thing about all of this, and 65 00:03:47,880 --> 00:03:51,280 Speaker 1: here's The thing about Trump and veterans. Thirty percent of 66 00:03:51,280 --> 00:03:56,160 Speaker 1: the federal government is veterans, So if you love vets, 67 00:03:56,280 --> 00:04:01,119 Speaker 1: you should probably keep them in the federal government. Whole idea, 68 00:04:01,240 --> 00:04:03,560 Speaker 1: and I think this is like the net net of 69 00:04:03,680 --> 00:04:07,440 Speaker 1: Trump's address to Congress is that he has a lot 70 00:04:07,760 --> 00:04:11,800 Speaker 1: of catchphrases He's going to make government more efficient. But 71 00:04:11,920 --> 00:04:15,800 Speaker 1: a lot of these catchphrases actually mean things that I 72 00:04:15,840 --> 00:04:19,599 Speaker 1: don't think he nor his voters have thought through. He's 73 00:04:19,640 --> 00:04:25,479 Speaker 1: going to make government more efficient by firing eighty thousand veterans, right. 74 00:04:25,600 --> 00:04:29,400 Speaker 1: He's going to make things cheaper by putting in tariffs, 75 00:04:29,400 --> 00:04:34,440 Speaker 1: which will make things more expensive. These ideas are nonsensical 76 00:04:35,000 --> 00:04:38,800 Speaker 1: and they do not lead to the objective. I don't 77 00:04:39,120 --> 00:04:44,479 Speaker 1: understand his voters still seem pretty delighted with him. When 78 00:04:44,520 --> 00:04:46,920 Speaker 1: you think about last night's speech. There was a ton 79 00:04:47,200 --> 00:04:51,320 Speaker 1: of like baiting liberals, saying liberals are bad, ton of 80 00:04:51,440 --> 00:04:54,960 Speaker 1: elevating these very sad stories, but not a lot of 81 00:04:55,040 --> 00:04:57,440 Speaker 1: like how else solve your problems? Right? Like if you 82 00:04:57,520 --> 00:04:59,960 Speaker 1: were to say the man had a mandate for anything, 83 00:05:00,320 --> 00:05:03,120 Speaker 1: it was to make prices lower, what did he spend 84 00:05:03,160 --> 00:05:07,160 Speaker 1: almost no time talking about making prices lower even like 85 00:05:07,240 --> 00:05:10,839 Speaker 1: you think about the boy that they had, this DJ 86 00:05:10,920 --> 00:05:15,040 Speaker 1: who had cancer. So DJ had childhood cancer caused by chemicals? 87 00:05:15,160 --> 00:05:15,360 Speaker 3: Right? 88 00:05:15,400 --> 00:05:17,440 Speaker 1: They think it was caused by an exposure to chemicals. 89 00:05:17,680 --> 00:05:23,120 Speaker 1: This Trump administration is gutting the EPA right so that 90 00:05:23,240 --> 00:05:26,200 Speaker 1: more chemicals can be dumped, so that more children can 91 00:05:26,279 --> 00:05:29,719 Speaker 1: inhale chemicals. And what else have they done? They've froze 92 00:05:29,839 --> 00:05:33,120 Speaker 1: NIH funds And do you know where NIH funds go? 93 00:05:33,680 --> 00:05:39,200 Speaker 1: Childhood cancer? So if you're going to elevate DJ, right, 94 00:05:39,600 --> 00:05:43,599 Speaker 1: then why would you then elevate him and then muse 95 00:05:43,640 --> 00:05:46,760 Speaker 1: about how terrible childhood cancer is all the while cutting 96 00:05:47,120 --> 00:05:51,039 Speaker 1: funding for childhood cancer? And ultimately that is sort of 97 00:05:51,080 --> 00:05:56,160 Speaker 1: a really good example of what is happening this admin 98 00:05:56,520 --> 00:06:00,960 Speaker 1: musing about problems while enacting policy that will in fact 99 00:06:01,000 --> 00:06:02,000 Speaker 1: make the problems worse. 100 00:06:02,400 --> 00:06:04,440 Speaker 4: It's the Republican way in my opinion. 101 00:06:05,480 --> 00:06:08,560 Speaker 2: Anyway, speaking of the Republican way, the town halls have 102 00:06:08,680 --> 00:06:11,800 Speaker 2: gotten very scary for these triggered snowflakes since people are 103 00:06:11,839 --> 00:06:15,240 Speaker 2: not happy with the Republican congressmen who are attending them, 104 00:06:15,480 --> 00:06:18,080 Speaker 2: and RCC sent out a memo saying no more town 105 00:06:18,120 --> 00:06:20,880 Speaker 2: halls and governor walls who is just a guest on 106 00:06:20,920 --> 00:06:23,640 Speaker 2: our YouTube channel has a very good solution. 107 00:06:24,200 --> 00:06:29,039 Speaker 1: Yes, Governor Walls, your a friend of mine. Go to 108 00:06:29,080 --> 00:06:31,280 Speaker 1: our YouTube is very very good with the best. 109 00:06:31,760 --> 00:06:33,800 Speaker 4: We have some great stuff coming up this week. I 110 00:06:33,880 --> 00:06:35,520 Speaker 4: might have great. 111 00:06:35,160 --> 00:06:38,880 Speaker 1: Stuff on the YouTube. Go to YouTube Molly John Fast 112 00:06:38,960 --> 00:06:42,640 Speaker 1: Fast Politics. So this is actually really smart and this 113 00:06:42,720 --> 00:06:46,440 Speaker 1: is what when we talk about flooding the zone with facts, 114 00:06:46,720 --> 00:06:49,560 Speaker 1: this is what we're talking about. Tim Walls offers to 115 00:06:49,560 --> 00:06:52,920 Speaker 1: meet with voters whose GOP reps refuse to hold town halls. 116 00:06:53,120 --> 00:06:56,880 Speaker 1: Canceling town halls to avoid voter backlashes the thing you 117 00:06:56,920 --> 00:06:59,920 Speaker 1: do right before you lose the majority, said one Democratic strategy. 118 00:07:00,120 --> 00:07:03,600 Speaker 1: Let's not be over confident your team. But Dems are 119 00:07:03,680 --> 00:07:06,520 Speaker 1: actually and is right. But this is a really good point. 120 00:07:06,720 --> 00:07:10,560 Speaker 1: Flood the zone with facts. Flood the zone with facts. 121 00:07:10,800 --> 00:07:15,040 Speaker 1: The only way to counter flooding the zone with the 122 00:07:15,240 --> 00:07:19,000 Speaker 1: bs is flooding the zone with facts. And doing this 123 00:07:19,120 --> 00:07:22,080 Speaker 1: when it comes to these town halls is really good. 124 00:07:22,160 --> 00:07:26,000 Speaker 1: Like Democrats can be where Republicans won't be, and that's 125 00:07:26,040 --> 00:07:27,920 Speaker 1: the only way they're going to get their message though, 126 00:07:27,920 --> 00:07:31,760 Speaker 1: because remember the problem is not what the democratic messages, 127 00:07:31,920 --> 00:07:33,760 Speaker 1: or maybe it is, but Really, the problem is that 128 00:07:33,800 --> 00:07:37,520 Speaker 1: Democrats message is not getting through because what is getting 129 00:07:37,520 --> 00:07:41,200 Speaker 1: through is the lies and obfuscation from the Republican side. 130 00:07:46,880 --> 00:07:50,320 Speaker 1: Stuart Stevens is a legendary campaign manager and the author 131 00:07:50,400 --> 00:07:53,200 Speaker 1: of the Conspiracy to End America Five Ways My old 132 00:07:53,240 --> 00:07:57,680 Speaker 1: Party is driving our democracy to autocracy. Welcome back to 133 00:07:57,800 --> 00:08:02,560 Speaker 1: fast politics. Stuart Stevens, right, smally anything going on? No, nothing. 134 00:08:02,960 --> 00:08:05,200 Speaker 1: There was so many times during the day I'm like, 135 00:08:05,280 --> 00:08:06,800 Speaker 1: how the fuck do we have vacuate? 136 00:08:07,400 --> 00:08:11,240 Speaker 3: Oh yeah, I think we had with Trump a collapse 137 00:08:11,440 --> 00:08:13,880 Speaker 3: of a center right party in America. So you don't 138 00:08:13,920 --> 00:08:17,120 Speaker 3: have a center right party in America. They're saying the 139 00:08:17,160 --> 00:08:20,240 Speaker 3: country is at least half center right. Yeah, I think 140 00:08:20,280 --> 00:08:24,280 Speaker 3: completely upsets the balance. I think Trump's election has been 141 00:08:24,280 --> 00:08:25,400 Speaker 3: greatly misunderstood. 142 00:08:25,880 --> 00:08:28,360 Speaker 1: Yeah, oh good, I would like to understand. 143 00:08:28,720 --> 00:08:31,880 Speaker 3: An election day, the COUMBA president had a forty percent 144 00:08:31,920 --> 00:08:34,640 Speaker 3: approval rating. In modern politics, no one has ever gotten 145 00:08:34,640 --> 00:08:38,040 Speaker 3: over two points higher. Incombent party's never gotten more than 146 00:08:38,040 --> 00:08:40,880 Speaker 3: two points higher than approval rating. The right track was 147 00:08:41,000 --> 00:08:44,520 Speaker 3: twenty seven percent. No incombent party's ever won with it 148 00:08:44,640 --> 00:08:47,880 Speaker 3: below forty five. It was a perfect environdent for a challenger, 149 00:08:48,080 --> 00:08:50,960 Speaker 3: and we know from polls six cent we know anything 150 00:08:50,960 --> 00:08:55,719 Speaker 3: from polls that another challenger Nikki Haley or lean young 151 00:08:55,760 --> 00:08:58,920 Speaker 3: Kin would have done better than Trump. Trump won was 152 00:08:59,000 --> 00:09:01,560 Speaker 3: usually as a challenger. That's not to be confused with 153 00:09:01,600 --> 00:09:05,120 Speaker 3: an embrace of trump Ism. And you know, I mean, 154 00:09:05,160 --> 00:09:07,240 Speaker 3: I think this is how people end up worst of 155 00:09:07,320 --> 00:09:11,240 Speaker 3: being volcanos. There's the draft of volcano Belch as it ranged, 156 00:09:11,280 --> 00:09:13,120 Speaker 3: and the next thing you know, you're throwing virgins into 157 00:09:13,160 --> 00:09:16,320 Speaker 3: the volcano gud. The two are not related. And I 158 00:09:16,320 --> 00:09:18,880 Speaker 3: think that they knew that Project twenty twenty five was 159 00:09:18,880 --> 00:09:20,760 Speaker 3: poisoned from their polling, and now that people were having 160 00:09:20,800 --> 00:09:23,360 Speaker 3: a drink, it hadn't gotten less toxic. What I find 161 00:09:23,440 --> 00:09:26,920 Speaker 3: just the most remarkable here is how this party that 162 00:09:27,000 --> 00:09:29,120 Speaker 3: I was drawn to with Ronald Reagan standing in front 163 00:09:29,120 --> 00:09:31,280 Speaker 3: of the Berlin Wall. Here on this wall, I'm scorte. 164 00:09:31,679 --> 00:09:34,200 Speaker 3: The Republican Party is now on the other side of 165 00:09:34,240 --> 00:09:36,920 Speaker 3: the wall. It is the we should get out of 166 00:09:37,000 --> 00:09:40,280 Speaker 3: NATO and help rebuild a Warshawa party. And I just 167 00:09:40,320 --> 00:09:42,559 Speaker 3: don't think anything like this is that I'm or whatever's 168 00:09:42,559 --> 00:09:46,000 Speaker 3: ever happened in a democracy that the beating heart of 169 00:09:46,000 --> 00:09:50,520 Speaker 3: the Republican Party was anti Soviet Union, anti communism, staring 170 00:09:50,640 --> 00:09:53,359 Speaker 3: in Russia, and now it's the beating heart of Putinism 171 00:09:53,559 --> 00:09:54,559 Speaker 3: and pro Russia. 172 00:09:54,600 --> 00:09:55,240 Speaker 4: Wow. 173 00:09:55,760 --> 00:09:59,760 Speaker 1: Yeah, Yeah, it's funny because it's like I think about 174 00:10:00,440 --> 00:10:03,480 Speaker 1: the bottle, right, and I think about Alis Slackin. So 175 00:10:04,080 --> 00:10:07,960 Speaker 1: there is a school of thought which I don't not 176 00:10:08,200 --> 00:10:12,000 Speaker 1: subscribe to it, but I think it's an oversimplification. It's 177 00:10:12,000 --> 00:10:15,679 Speaker 1: hard to parse. Right. The biggest problem was, I think, 178 00:10:16,200 --> 00:10:22,319 Speaker 1: was Joe Biden's complete inability to communicate social media. Mainstream 179 00:10:22,400 --> 00:10:25,320 Speaker 1: media could not And you know, is that because he's 180 00:10:25,320 --> 00:10:27,480 Speaker 1: the world's oldest person or is that because he was 181 00:10:27,520 --> 00:10:30,240 Speaker 1: never a good communicator? Who cares? But that was like 182 00:10:30,320 --> 00:10:34,000 Speaker 1: the fundamental original sin of how we got where we 183 00:10:34,040 --> 00:10:36,760 Speaker 1: got in twenty twenty four. But there's a school of 184 00:10:36,800 --> 00:10:41,720 Speaker 1: thought which thought Harris would be able to connect with 185 00:10:42,160 --> 00:10:45,800 Speaker 1: the normal, sane Republicans. Right, those are gone. They are 186 00:10:45,840 --> 00:10:49,760 Speaker 1: Democrats now, right, because the people Trump got to turn out, right, 187 00:10:49,840 --> 00:10:52,520 Speaker 1: I mean, I just want to revisit, like sort of 188 00:10:52,559 --> 00:10:56,320 Speaker 1: how to go forward from here? Trump got low propensity voters, 189 00:10:56,559 --> 00:10:58,839 Speaker 1: he basically told I mean. The great example is the 190 00:10:58,880 --> 00:11:00,960 Speaker 1: story in the Washington Post last week the woman who 191 00:11:01,040 --> 00:11:03,920 Speaker 1: voted for him because she thought he would make IVF free. 192 00:11:04,160 --> 00:11:06,440 Speaker 1: That's like a great example, right, he said lots of 193 00:11:06,440 --> 00:11:09,160 Speaker 1: different things to lots of different people, promised the world 194 00:11:09,320 --> 00:11:12,600 Speaker 1: and now they can't get it, which actually happened in 195 00:11:12,720 --> 00:11:15,680 Speaker 1: Trump one point zero, but because we are the United 196 00:11:15,720 --> 00:11:18,920 Speaker 1: States of Amnesia, no one remembered. Meanwhile, Harris was like, 197 00:11:19,000 --> 00:11:21,200 Speaker 1: I can't give you this. I can't do that. That's 198 00:11:21,240 --> 00:11:24,160 Speaker 1: not how any of this works. Which American voters they 199 00:11:24,200 --> 00:11:28,760 Speaker 1: don't like that. So here's the question. Democrats decided, we'll 200 00:11:28,760 --> 00:11:32,760 Speaker 1: embrace Liz Cheneyism. We'll get the sane ones. There are 201 00:11:32,800 --> 00:11:35,800 Speaker 1: no sane ones. So where do Democrats go from here? 202 00:11:36,080 --> 00:11:39,000 Speaker 1: Should they be just lying about stuff? Because it worked 203 00:11:39,040 --> 00:11:41,480 Speaker 1: really well for Trump and the rest of the party 204 00:11:41,679 --> 00:11:45,480 Speaker 1: seems to be spinning around the drain that way? Where 205 00:11:45,480 --> 00:11:48,200 Speaker 1: do you go when things have devolved this much? 206 00:11:48,760 --> 00:11:51,760 Speaker 3: So let's step back. Republican is celebrating because they only 207 00:11:51,760 --> 00:11:54,240 Speaker 3: lost to eighty six percent of Black voters. Right, they're 208 00:11:54,280 --> 00:11:57,640 Speaker 3: celebrating because they only lost sixty three percent of Asian Americans, 209 00:11:57,760 --> 00:12:00,800 Speaker 3: celebrating because they only lost fifty four percent of Hispanics. 210 00:12:01,080 --> 00:12:04,200 Speaker 3: Usually in politics, we consider losing bad. So the only 211 00:12:04,360 --> 00:12:09,080 Speaker 3: group with winning are not on college educated white which 212 00:12:09,240 --> 00:12:12,400 Speaker 3: is the fastest declining group in America two thousand and 213 00:12:12,480 --> 00:12:15,000 Speaker 3: worked on a boost campaign. You know, we look at polls. 214 00:12:15,040 --> 00:12:18,040 Speaker 3: It was about sixty percent of the electorate. Now it's 215 00:12:18,160 --> 00:12:20,560 Speaker 3: thirty eight. It'll be less. So when we finish, I 216 00:12:20,600 --> 00:12:24,520 Speaker 3: think that there is a lot of confusion. I mean, 217 00:12:24,600 --> 00:12:27,360 Speaker 3: Trump never won working class voters. You weren't white working 218 00:12:27,360 --> 00:12:30,240 Speaker 3: class voters. He never won low propensity voters. You weren't 219 00:12:30,240 --> 00:12:34,400 Speaker 3: white lower propensity voters. And going back to sixteen, I 220 00:12:34,520 --> 00:12:38,680 Speaker 3: always thought that the voters that he would gain at 221 00:12:38,720 --> 00:12:42,880 Speaker 3: the lower propensity because of the Muslim stuff, because of 222 00:12:43,120 --> 00:12:45,560 Speaker 3: Mexico is a bunch of vrapist stuff. All of that 223 00:12:45,520 --> 00:12:48,720 Speaker 3: that you gained, you would lose in college educated voters, 224 00:12:48,920 --> 00:12:51,400 Speaker 3: which was happening right up until the Coomi letter. I 225 00:12:51,440 --> 00:12:55,280 Speaker 3: think it's very instructive in this election to look at say, Virginia, 226 00:12:55,360 --> 00:12:59,400 Speaker 3: New Jersey, does it I think very legitimate controls in 227 00:12:59,440 --> 00:13:02,839 Speaker 3: this election. No one was really a campaigning in Virginia 228 00:13:02,960 --> 00:13:05,480 Speaker 3: or New Jersey. There was no campaign, So where was 229 00:13:05,520 --> 00:13:09,040 Speaker 3: that trumpet a lot better? And I think that we 230 00:13:09,320 --> 00:13:11,319 Speaker 3: tend to look at Trump and come to the conclusion 231 00:13:11,360 --> 00:13:14,160 Speaker 3: that all everything we know about politics is wrong, which 232 00:13:14,320 --> 00:13:17,920 Speaker 3: to I think is proven to be true. But again, 233 00:13:18,400 --> 00:13:20,880 Speaker 3: a country that seventy five percent of the people think 234 00:13:20,880 --> 00:13:23,440 Speaker 3: we're going on the wrong track seventy three percent, that 235 00:13:23,559 --> 00:13:26,760 Speaker 3: is not a party to embrace a vice president. And look, 236 00:13:26,960 --> 00:13:29,280 Speaker 3: I think causalities are the hardest thing in politics. But 237 00:13:29,400 --> 00:13:31,480 Speaker 3: probably in years to come, no one is going to 238 00:13:31,480 --> 00:13:33,600 Speaker 3: look at this and say, you know, this whole thing 239 00:13:33,600 --> 00:13:35,960 Speaker 3: of having incombent president resigned in July and going with 240 00:13:36,000 --> 00:13:38,040 Speaker 3: the vice president, we should keep doing that. 241 00:13:38,400 --> 00:13:41,760 Speaker 1: No, no, right, And historically that's never worked, you know, 242 00:13:42,080 --> 00:13:46,199 Speaker 1: like remember the last time that happened where the Democrat 243 00:13:46,280 --> 00:13:48,520 Speaker 1: resigned and the vice president took over, and it was 244 00:13:48,559 --> 00:13:51,560 Speaker 1: a fucking disaster too, And it was even there was 245 00:13:51,600 --> 00:13:54,040 Speaker 1: more time and it was still a disaster. So I 246 00:13:54,040 --> 00:13:58,240 Speaker 1: think for sure that's absolutely true. I also just wonder, 247 00:13:58,559 --> 00:14:00,720 Speaker 1: I mean, and then the thing that I feel like 248 00:14:00,760 --> 00:14:03,080 Speaker 1: we really don't talk about, which we should is this 249 00:14:03,200 --> 00:14:09,000 Speaker 1: post COVID brain fog, which America really got affected by. 250 00:14:09,360 --> 00:14:12,000 Speaker 1: But here's my question. So Tuesday, Trump gave a speech 251 00:14:12,240 --> 00:14:15,439 Speaker 1: and his approval rating was the highest it's ever been 252 00:14:15,520 --> 00:14:19,000 Speaker 1: for him, which is still low for normal presidents, but 253 00:14:19,200 --> 00:14:22,080 Speaker 1: high for him. And then right before he went on 254 00:14:22,680 --> 00:14:25,480 Speaker 1: it sort of ticked down. So now it is again 255 00:14:26,000 --> 00:14:28,840 Speaker 1: sort of more disapproved than approved, where it's we're in 256 00:14:28,880 --> 00:14:32,920 Speaker 1: that wrong direction. He's finally almost back to normal. And 257 00:14:33,000 --> 00:14:35,440 Speaker 1: you know, it took the Ukraine stuff and the tear 258 00:14:35,480 --> 00:14:39,240 Speaker 1: off stuff and the crashing the Dow stuff to get 259 00:14:39,280 --> 00:14:40,800 Speaker 1: us here we are six weeks in. 260 00:14:41,360 --> 00:14:41,560 Speaker 4: Yeah. 261 00:14:41,640 --> 00:14:43,800 Speaker 3: You know what's really interesting about this is only two 262 00:14:43,920 --> 00:14:48,120 Speaker 3: presidencies have had a lower favorability for the president one 263 00:14:48,160 --> 00:14:52,720 Speaker 3: hundred days after his first hundred days versus election day, 264 00:14:52,840 --> 00:14:54,480 Speaker 3: which makes sense, like I didn't vote for the guy, 265 00:14:54,600 --> 00:14:56,480 Speaker 3: but I'm going to give him a chance. So at 266 00:14:56,480 --> 00:14:59,880 Speaker 3: this point Biden had almost fifty percent favorables, Obama had 267 00:15:00,080 --> 00:15:02,880 Speaker 3: sixty five percent favorables. Even Bush had like I think 268 00:15:03,040 --> 00:15:06,120 Speaker 3: fifty seven percent favorable with Bush two in two thousand 269 00:15:06,160 --> 00:15:08,440 Speaker 3: and four. The only two presidency whether this doesn't have 270 00:15:08,680 --> 00:15:10,920 Speaker 3: was Trump on two pousand and seventeen and Trump today, 271 00:15:11,040 --> 00:15:13,880 Speaker 3: which I think is actually kind of profound because he's 272 00:15:13,920 --> 00:15:17,960 Speaker 3: shedding voters. The hardest thing for people in life probably 273 00:15:18,040 --> 00:15:20,120 Speaker 3: to admit is why I made a mistake, particularly this 274 00:15:20,240 --> 00:15:23,400 Speaker 3: close to when you made the mistake. You have people 275 00:15:23,480 --> 00:15:26,280 Speaker 3: who voted for Trump who now are not for Trump, 276 00:15:26,680 --> 00:15:29,160 Speaker 3: and it usually goes the other way because people like 277 00:15:29,360 --> 00:15:31,400 Speaker 3: to say that they voted for someone who won. So 278 00:15:32,000 --> 00:15:35,680 Speaker 3: usually in polling you ask after an election, did you 279 00:15:35,760 --> 00:15:38,080 Speaker 3: vote for somebody? The person who won is going to 280 00:15:38,080 --> 00:15:39,680 Speaker 3: do better in that poll than they actually get an 281 00:15:39,720 --> 00:15:42,000 Speaker 3: election day. That kind of human I want admit I 282 00:15:42,080 --> 00:15:44,960 Speaker 3: voted for a loser. I think that's a really profound trend. 283 00:15:45,440 --> 00:15:47,720 Speaker 3: None of this gets away from the fact that the 284 00:15:48,200 --> 00:15:51,480 Speaker 3: Democratic Party has two problems. It doesn't have a message 285 00:15:51,480 --> 00:15:53,400 Speaker 3: and it doesn't have a messenger. But I think both 286 00:15:53,400 --> 00:15:55,320 Speaker 3: of those are pretty easily fixable. There's a lot of 287 00:15:55,320 --> 00:15:59,000 Speaker 3: talent in the party is needed somebody to emerge. We 288 00:15:59,080 --> 00:16:01,920 Speaker 3: didn't have a process of a primary and which other 289 00:16:01,960 --> 00:16:04,320 Speaker 3: people could be both. I mean, thinking about it, in 290 00:16:04,360 --> 00:16:07,800 Speaker 3: two thousand and four, jar and Kerry lost to President 291 00:16:07,880 --> 00:16:11,080 Speaker 3: cyber Barack Obama won it with the speech, and we 292 00:16:11,120 --> 00:16:14,280 Speaker 3: didn't have a similar sort of process here. We're a 293 00:16:14,360 --> 00:16:17,440 Speaker 3: very personality driven country. I mean, there's reason People magazine 294 00:16:17,480 --> 00:16:22,240 Speaker 3: has more subscribers than Foreign Affairs. And what's really necessarious 295 00:16:22,240 --> 00:16:25,920 Speaker 3: for a new group of Democrats emerges the face of 296 00:16:26,320 --> 00:16:28,680 Speaker 3: the party, which I don't know who picks flocking, But 297 00:16:28,880 --> 00:16:31,720 Speaker 3: that's not a bad start. I'll take the CIA over 298 00:16:31,800 --> 00:16:33,320 Speaker 3: against the Russian age. 299 00:16:34,360 --> 00:16:39,360 Speaker 1: But do you think that slocking sort of CIA you 300 00:16:39,680 --> 00:16:43,920 Speaker 1: mention Republican presidents. Do you think that's the play? Like, 301 00:16:44,120 --> 00:16:48,080 Speaker 1: do you wonder if there really is sort of like 302 00:16:48,160 --> 00:16:52,040 Speaker 1: if it's better to try and go for the Democratic base. Like, 303 00:16:52,080 --> 00:16:54,640 Speaker 1: for example, there's this theory of the case that the 304 00:16:54,640 --> 00:16:58,680 Speaker 1: original sin was rejecting burning that had the party said, 305 00:16:58,720 --> 00:17:01,440 Speaker 1: you know, this is what a lot of the voters 306 00:17:01,440 --> 00:17:03,800 Speaker 1: seem to want, and even though it makes the donors nervous, 307 00:17:03,840 --> 00:17:06,640 Speaker 1: let's just try it out because this is what they want, right, 308 00:17:07,119 --> 00:17:09,879 Speaker 1: Like it's such a stark contrast to Trump. Right, this 309 00:17:10,040 --> 00:17:12,359 Speaker 1: is what the base wants. We don't want it, but 310 00:17:12,560 --> 00:17:15,879 Speaker 1: it's the base ergo, we're fucked. But Bernie, they were like, 311 00:17:15,960 --> 00:17:19,160 Speaker 1: shut it down, this is not for us. Makes everyone nervous. 312 00:17:19,760 --> 00:17:22,879 Speaker 1: No one wants to have free dental care. Right, So 313 00:17:23,119 --> 00:17:25,560 Speaker 1: do you think the original sin here, and this is 314 00:17:25,560 --> 00:17:28,040 Speaker 1: a real question and not a set of fake question, 315 00:17:28,520 --> 00:17:33,000 Speaker 1: is that reject of the populist movement in the party 316 00:17:33,520 --> 00:17:37,960 Speaker 1: for a Hillary Clinton sort of more manufactured populism that 317 00:17:38,000 --> 00:17:41,160 Speaker 1: people didn't really want like and again this sucks for me. Right, 318 00:17:41,200 --> 00:17:44,200 Speaker 1: they weren't feminists. It turns out they were just populous. 319 00:17:44,320 --> 00:17:48,080 Speaker 1: Bernie had a groundswell of people who decided he was 320 00:17:48,119 --> 00:17:52,360 Speaker 1: their guy. Hillary was I'm with her, you're with her. 321 00:17:52,760 --> 00:17:53,959 Speaker 1: You know. It was a little bit different. 322 00:17:54,240 --> 00:17:56,040 Speaker 3: Yeah, Look, there are a lot of different ways than 323 00:17:56,040 --> 00:17:58,720 Speaker 3: women tolection. I mean, if nothing else, you look at 324 00:17:58,720 --> 00:18:02,119 Speaker 3: the way Trump ran and one is very different than 325 00:18:02,160 --> 00:18:05,720 Speaker 3: the way we as Republicans had won before. We would 326 00:18:05,760 --> 00:18:08,840 Speaker 3: take reasonable big state governors and run them and they 327 00:18:08,880 --> 00:18:11,320 Speaker 3: would be able to get you know, Bush in two 328 00:18:11,320 --> 00:18:13,960 Speaker 3: thousand four is able to get a majority. So trum 329 00:18:14,000 --> 00:18:16,439 Speaker 3: comes along. He's the exact applicant table to the majority. So 330 00:18:16,480 --> 00:18:19,400 Speaker 3: I think it's very difficult to say if this had happened, 331 00:18:19,480 --> 00:18:21,840 Speaker 3: it would have been a disaster. We don't know the 332 00:18:22,440 --> 00:18:25,399 Speaker 3: quality of the candidate. Once you received a nomination, I 333 00:18:25,400 --> 00:18:28,000 Speaker 3: think you become a different candidate. So what would Burnie 334 00:18:28,000 --> 00:18:29,960 Speaker 3: have been like after different candidate? You know? I mean 335 00:18:30,119 --> 00:18:32,359 Speaker 3: I first saw Bernie when I was at Middlebury and 336 00:18:32,359 --> 00:18:34,920 Speaker 3: I was riding my bike down Church Street in Burlington. 337 00:18:34,920 --> 00:18:37,200 Speaker 3: Are scholaris limitic out there the only about rint control 338 00:18:37,240 --> 00:18:39,399 Speaker 3: who's running from mayor, and I was Bernie when he 339 00:18:39,520 --> 00:18:42,320 Speaker 3: won by eight votes. He won't eight votes. So I've 340 00:18:42,359 --> 00:18:47,040 Speaker 3: always found in a fascinating character. I think in the 341 00:18:47,119 --> 00:18:49,080 Speaker 3: long term, though, if you asked me where to put money, 342 00:18:49,080 --> 00:18:52,080 Speaker 3: I'll put money on the slockin. I think that it 343 00:18:52,119 --> 00:18:55,000 Speaker 3: is more the fact that she has I think a 344 00:18:55,040 --> 00:18:58,880 Speaker 3: higher ceiling, the ability to appeal to more people that 345 00:18:59,080 --> 00:19:04,040 Speaker 3: message fuck and Shapiro. I think that is sort of 346 00:19:04,040 --> 00:19:05,800 Speaker 3: an old fashioned way to win elections. 347 00:19:06,160 --> 00:19:08,520 Speaker 1: Here's this seventy percent in the middle, that is what 348 00:19:08,560 --> 00:19:09,080 Speaker 1: you're saying. 349 00:19:09,400 --> 00:19:11,840 Speaker 3: Well, I don't even know what the middle is anymore. 350 00:19:12,280 --> 00:19:14,600 Speaker 3: You know, Bernie Standers is to the right of the 351 00:19:14,640 --> 00:19:18,200 Speaker 3: Republican Party on Russia, right. You know, he was honeymoon 352 00:19:18,240 --> 00:19:22,480 Speaker 3: in Russia, but he didn't like stay there, right, So 353 00:19:23,040 --> 00:19:24,680 Speaker 3: I don't know what to do with these numbers. We're 354 00:19:24,680 --> 00:19:28,200 Speaker 3: the pro tariff party, so the Conservatives and economic theory 355 00:19:28,280 --> 00:19:31,119 Speaker 3: now or the Democrats, they were like what the fuck. 356 00:19:31,800 --> 00:19:35,359 Speaker 3: I do think that the Democratic Party has an underappreciation 357 00:19:35,440 --> 00:19:38,399 Speaker 3: for cultural wars, which is why as a Republican we 358 00:19:38,440 --> 00:19:40,200 Speaker 3: want a lot of races. We had no business winning, 359 00:19:40,359 --> 00:19:43,040 Speaker 3: and the fact that the Harris Caanby never responded to 360 00:19:43,080 --> 00:19:46,639 Speaker 3: this transgender ad. This is a curious fact that we 361 00:19:46,680 --> 00:19:48,919 Speaker 3: don't talk about it. I know Trump never ran a 362 00:19:48,960 --> 00:19:49,840 Speaker 3: positive ad. 363 00:19:49,960 --> 00:19:56,080 Speaker 1: Right, It's so much about responding to everything, communicating as 364 00:19:56,200 --> 00:19:59,600 Speaker 1: much as possible, and not necessarily what you say. Like 365 00:19:59,680 --> 00:20:03,800 Speaker 1: one the worries I have when it comes to the 366 00:20:03,920 --> 00:20:07,480 Speaker 1: leadership in the House is that there's still an obsession 367 00:20:07,640 --> 00:20:10,399 Speaker 1: with getting the message right. And I don't think that 368 00:20:10,440 --> 00:20:12,959 Speaker 1: fucking matters. Like I think if we can learn anything 369 00:20:13,000 --> 00:20:16,080 Speaker 1: from Trump, it's that it's just getting the message out 370 00:20:16,280 --> 00:20:20,080 Speaker 1: and get the message out in a way that you 371 00:20:20,119 --> 00:20:22,720 Speaker 1: didn't have to ten years ago. Like you can't just 372 00:20:22,840 --> 00:20:25,399 Speaker 1: do five interviews, you have to do fifty or one 373 00:20:25,480 --> 00:20:26,920 Speaker 1: hundred or five hundred. 374 00:20:27,400 --> 00:20:27,640 Speaker 4: Yep. 375 00:20:27,880 --> 00:20:30,919 Speaker 3: The road to hell is paved with focus groups in politics, 376 00:20:31,119 --> 00:20:35,320 Speaker 3: because there's this belief that somehow you can get, as 377 00:20:35,520 --> 00:20:37,880 Speaker 3: Roger ray Hills used to say, he get thirty amateurs 378 00:20:37,880 --> 00:20:40,200 Speaker 3: in a room that you're professionals what to do. It's 379 00:20:40,240 --> 00:20:44,639 Speaker 3: based upon this sort of political alchemist theory, if you 380 00:20:44,880 --> 00:20:47,600 Speaker 3: just worked this enough out of this you can get 381 00:20:47,640 --> 00:20:50,719 Speaker 3: some sort of golden message. And there is no golden message. 382 00:20:50,800 --> 00:20:55,359 Speaker 3: I think ninety percent of message is belief in that message, 383 00:20:55,440 --> 00:20:57,399 Speaker 3: which is why there is Bernie is so good. Bernie 384 00:20:57,440 --> 00:21:00,040 Speaker 3: does believe this shit he believed forty years ago, I 385 00:21:00,040 --> 00:21:03,280 Speaker 3: believe it today. He is a genuine guy. And I 386 00:21:03,320 --> 00:21:07,640 Speaker 3: think that that passion people read through. And I mean 387 00:21:07,680 --> 00:21:11,800 Speaker 3: Trump is a passionate hater, not an act. I think 388 00:21:11,840 --> 00:21:13,800 Speaker 3: the JD Vance it's all kind of more of an 389 00:21:13,840 --> 00:21:15,400 Speaker 3: act because I think he's such a sort. 390 00:21:15,200 --> 00:21:18,080 Speaker 1: Of I mean, I don't know what is going on there, 391 00:21:18,119 --> 00:21:21,399 Speaker 1: but like the fact that he has sort of lucked 392 00:21:21,400 --> 00:21:26,080 Speaker 1: his way into this insane situation. It does seem like 393 00:21:26,600 --> 00:21:30,639 Speaker 1: few people are less charming and charismatic than that man. 394 00:21:31,359 --> 00:21:33,919 Speaker 3: He's a Chauncey Gardner of current politics. 395 00:21:34,160 --> 00:21:37,680 Speaker 1: Unbelievable. What do you think would happen if he became president? 396 00:21:38,000 --> 00:21:39,720 Speaker 3: I think he would be president and he would run 397 00:21:39,760 --> 00:21:41,560 Speaker 3: for re election and he would lose the primary. 398 00:21:41,680 --> 00:21:43,800 Speaker 1: Yeah, that's what I think too, because for. 399 00:21:43,800 --> 00:21:46,840 Speaker 3: Him to be president when Trump had somehow been exited 400 00:21:46,880 --> 00:21:48,040 Speaker 3: from a scene. 401 00:21:47,720 --> 00:21:49,119 Speaker 1: He doesn't have any of the magic. 402 00:21:49,480 --> 00:21:52,240 Speaker 3: Yeah, he doesn't. You would be able to get what 403 00:21:52,280 --> 00:21:55,320 Speaker 3: you get with Trump with someone else who is sort 404 00:21:55,359 --> 00:21:58,639 Speaker 3: of not crazy. And when dance is on the ballot. 405 00:21:58,720 --> 00:22:01,119 Speaker 3: He had four in two thousand, few votes than the 406 00:22:01,160 --> 00:22:05,000 Speaker 3: Republican governor of Ohio. That's really weird. I mean, he's 407 00:22:05,000 --> 00:22:07,560 Speaker 3: four hundred thousand people voted. Just think about it. I mean, 408 00:22:07,560 --> 00:22:09,600 Speaker 3: that's a really long line you line up for in 409 00:22:09,640 --> 00:22:12,200 Speaker 3: a thousand people, and they all they would both that 410 00:22:12,240 --> 00:22:15,399 Speaker 3: they voted for the Republican governor, but not discouch an 411 00:22:15,440 --> 00:22:18,399 Speaker 3: events that doesn't appen very are And I think the 412 00:22:18,400 --> 00:22:21,920 Speaker 3: Advance is just a mess. I mean, he's a guy 413 00:22:22,040 --> 00:22:24,359 Speaker 3: that kind of reinvents himself, but he is the ultimate 414 00:22:24,400 --> 00:22:27,119 Speaker 3: gi candidate because he used to sort of somewhat faux 415 00:22:27,240 --> 00:22:30,880 Speaker 3: Appalachian hillbilly background to get a d al and then 416 00:22:30,880 --> 00:22:33,680 Speaker 3: he becomes you know, goes to Peter Thiel, hangs out, 417 00:22:33,800 --> 00:22:39,919 Speaker 3: he's a globalist. It's just he's a very quixotic, strange, 418 00:22:40,160 --> 00:22:44,680 Speaker 3: weirdly formed candidate. Erson he goes and gives the speech 419 00:22:44,720 --> 00:22:47,880 Speaker 3: in Germany to a party that if his own children 420 00:22:48,480 --> 00:22:51,600 Speaker 3: were brought to a rally, they would probably be booed 421 00:22:51,640 --> 00:22:55,200 Speaker 3: or attacked at that party. That's weird. There are moments 422 00:22:55,240 --> 00:22:57,720 Speaker 3: in politics. You see this a lot in presidential campaigns 423 00:22:57,840 --> 00:22:59,880 Speaker 3: where the only thing you can do is just show 424 00:23:00,040 --> 00:23:02,560 Speaker 3: up and win, like you know, you've lost their primary 425 00:23:02,600 --> 00:23:04,439 Speaker 3: should have won, and you can't talk your way out 426 00:23:04,480 --> 00:23:06,280 Speaker 3: of it and explain why you did. You just have 427 00:23:06,359 --> 00:23:09,080 Speaker 3: to say, Okay, what's next, Like you know, Belichick played 428 00:23:09,080 --> 00:23:11,080 Speaker 3: in the next play. And I think that's where where 429 00:23:11,119 --> 00:23:15,359 Speaker 3: Democrats are now. I think though, that the fundamentals are 430 00:23:15,359 --> 00:23:18,119 Speaker 3: in their favor. The economy is getting worse. If you 431 00:23:18,119 --> 00:23:21,119 Speaker 3: look at Putin's favorability, it is not very high, not 432 00:23:21,160 --> 00:23:25,400 Speaker 3: being driven hired, and a Putin versus Zelensky popularity cond 433 00:23:25,440 --> 00:23:28,920 Speaker 3: just slency's going to win going away. The greatest thanger, though, 434 00:23:29,000 --> 00:23:31,040 Speaker 3: I think, is the damage that they can do in 435 00:23:31,040 --> 00:23:34,680 Speaker 3: the interim, and it's just incredibly troubling, and also the 436 00:23:34,680 --> 00:23:35,359 Speaker 3: Republican Party. 437 00:23:35,560 --> 00:23:38,359 Speaker 1: Stuart Stevens, thank you, Thank you. 438 00:23:38,400 --> 00:23:38,600 Speaker 3: Mark. 439 00:23:38,720 --> 00:23:39,840 Speaker 1: Will you please come back? 440 00:23:39,960 --> 00:23:43,400 Speaker 3: I absolutely love to more. 441 00:23:43,560 --> 00:23:45,640 Speaker 1: Healy is the governor of Massachusetts. 442 00:23:46,000 --> 00:23:48,960 Speaker 5: Welcome, Governor, welcome, good to be with you. 443 00:23:49,320 --> 00:23:51,800 Speaker 1: I listened to that interview you did for the Daily. 444 00:23:52,240 --> 00:23:55,280 Speaker 1: I thought there was a lot of barrier Republican framan 445 00:23:55,720 --> 00:23:59,440 Speaker 1: about some of what she was talking about with the 446 00:23:59,480 --> 00:24:03,160 Speaker 1: Attorney's General. So I am hoping you could first start 447 00:24:03,200 --> 00:24:06,680 Speaker 1: by talking about you were an age you now are 448 00:24:06,680 --> 00:24:11,000 Speaker 1: the governor. This has been the root in which Democrats 449 00:24:11,040 --> 00:24:18,080 Speaker 1: have protected their constituents against this wild federal overreach. So 450 00:24:18,560 --> 00:24:21,680 Speaker 1: talk to me about why that isn't a partisan issue. 451 00:24:21,920 --> 00:24:24,800 Speaker 5: The job of attorney general is to really represent the 452 00:24:24,880 --> 00:24:28,440 Speaker 5: people of your state. And when I was attorney general 453 00:24:28,440 --> 00:24:33,040 Speaker 5: in twenty sixteen, Donald Trump did a number of things 454 00:24:33,400 --> 00:24:37,119 Speaker 5: that hurt a lot of people in states across this country, 455 00:24:37,160 --> 00:24:40,520 Speaker 5: taking away healthcare for example, or attempting to in a 456 00:24:40,680 --> 00:24:44,000 Speaker 5: denying coverage for any number of things, taking away federal 457 00:24:44,000 --> 00:24:47,040 Speaker 5: funding for programs. I mean, we went to court and 458 00:24:47,160 --> 00:24:50,600 Speaker 5: ultimately we suit him well over one hundred times his administration. 459 00:24:51,280 --> 00:24:54,919 Speaker 5: We won eighty five percent of those cases, which shows 460 00:24:54,960 --> 00:24:58,480 Speaker 5: you just how wrong he was and how often he 461 00:24:58,560 --> 00:25:01,560 Speaker 5: was actually violating the law that the courts actually vindicated 462 00:25:01,560 --> 00:25:04,119 Speaker 5: the AGS and said yep, you're right, and we won 463 00:25:04,160 --> 00:25:06,960 Speaker 5: the vast majority of those cases. And those are cases 464 00:25:07,000 --> 00:25:09,600 Speaker 5: that needed to be brought because laws were being violated. 465 00:25:10,000 --> 00:25:13,720 Speaker 5: Here we are now in twenty twenty five Trump two, 466 00:25:14,000 --> 00:25:18,800 Speaker 5: and you see democratic ags doing the same thing, protecting 467 00:25:18,840 --> 00:25:23,960 Speaker 5: their residents, protecting their economies, protecting their states from federal 468 00:25:24,040 --> 00:25:28,960 Speaker 5: overreach in some instances, and from violation of the law 469 00:25:29,119 --> 00:25:32,159 Speaker 5: by the Trump administration. And so I think it's not 470 00:25:32,200 --> 00:25:35,120 Speaker 5: a surprise to me that you see them meeting with success. 471 00:25:35,200 --> 00:25:37,800 Speaker 5: They are meeting with success, and they're going to continue 472 00:25:37,800 --> 00:25:39,920 Speaker 5: to need to do that. And you know, it really 473 00:25:40,080 --> 00:25:42,760 Speaker 5: should not be a partisan thing. I think in this country, 474 00:25:42,800 --> 00:25:45,560 Speaker 5: the idea of the constitution is that we're a nation 475 00:25:45,720 --> 00:25:50,560 Speaker 5: of laws. The judiciary enforces those laws, the legislative brands 476 00:25:50,800 --> 00:25:54,800 Speaker 5: makes those laws, and the executive is supposed to execute 477 00:25:54,840 --> 00:25:59,359 Speaker 5: on those laws. And when that's not happening, the recourse 478 00:25:59,480 --> 00:26:00,479 Speaker 5: is the courts. 479 00:26:01,160 --> 00:26:04,520 Speaker 1: Yeah, there has been I think a ground swell of 480 00:26:04,600 --> 00:26:08,679 Speaker 1: anger among constituents. It has felt a lot of the 481 00:26:08,760 --> 00:26:13,760 Speaker 1: time like leadership Democratic leadership. Republican leadership is totally in 482 00:26:13,760 --> 00:26:16,199 Speaker 1: the tank for Trump. They've given up all their article 483 00:26:16,359 --> 00:26:19,920 Speaker 1: too whatever, they're just in it. But it has felt 484 00:26:19,960 --> 00:26:23,080 Speaker 1: to a lot of us the Democratic leadership has been 485 00:26:23,359 --> 00:26:28,280 Speaker 1: slow to fight back. That has not been my take 486 00:26:28,320 --> 00:26:30,960 Speaker 1: on you, And I'm hoping you could explain to us 487 00:26:31,280 --> 00:26:33,600 Speaker 1: a little bit about your thinking and how you got here. 488 00:26:33,800 --> 00:26:36,320 Speaker 5: Well, you know, Mollie, it's I have a responsibility to 489 00:26:36,400 --> 00:26:38,600 Speaker 5: my state. I said from the outset. I will work 490 00:26:38,640 --> 00:26:41,480 Speaker 5: with the Trump administration. I will work with any administration 491 00:26:42,000 --> 00:26:44,920 Speaker 5: when it is consistent with the law and it helps 492 00:26:45,000 --> 00:26:47,320 Speaker 5: the people of my state, so I said a few 493 00:26:47,359 --> 00:26:50,560 Speaker 5: weeks ago the inauguration. I also said I'd be the 494 00:26:50,600 --> 00:26:54,160 Speaker 5: first to stand up if a president or federal administration 495 00:26:54,280 --> 00:26:57,560 Speaker 5: does something that hurts my state. You know, in terms 496 00:26:57,600 --> 00:26:59,800 Speaker 5: of where we are, I think the first week it 497 00:26:59,840 --> 00:27:02,720 Speaker 5: was maybe about seeing exactly what he would do. I mean, 498 00:27:02,760 --> 00:27:04,840 Speaker 5: so much was laid out in twenty twenty five, but 499 00:27:05,400 --> 00:27:07,520 Speaker 5: you know, people were sort of gauging whether this was 500 00:27:07,600 --> 00:27:09,720 Speaker 5: just going to be a show for a week or 501 00:27:09,760 --> 00:27:12,440 Speaker 5: ten days or two weeks. What I have seen, though, 502 00:27:12,720 --> 00:27:14,919 Speaker 5: with each passing week, and which is why I have 503 00:27:15,000 --> 00:27:17,880 Speaker 5: been speaking up, is he is doing things that are 504 00:27:18,240 --> 00:27:23,960 Speaker 5: totally inconsistent with a true America First agenda, Totally inconsistent 505 00:27:24,119 --> 00:27:27,680 Speaker 5: with an American independence when it comes to energy agenda, 506 00:27:28,200 --> 00:27:32,159 Speaker 5: Totally inconsistent with what I thought was his winning campaign promise, 507 00:27:32,200 --> 00:27:34,400 Speaker 5: which he was going to lower cost because every day 508 00:27:34,440 --> 00:27:38,560 Speaker 5: he is doing something to raise costs on goods for 509 00:27:38,680 --> 00:27:42,320 Speaker 5: people in our state. And so you know, I tried 510 00:27:42,320 --> 00:27:45,840 Speaker 5: to focus as a leader in Massachusetts on how am 511 00:27:45,840 --> 00:27:49,000 Speaker 5: I delivering for people. It's why my first two years, 512 00:27:49,240 --> 00:27:51,480 Speaker 5: I've worked to get the largest housing bill pass so 513 00:27:51,520 --> 00:27:53,880 Speaker 5: we can build more housing and lower costs. It's why 514 00:27:53,880 --> 00:27:56,400 Speaker 5: I cut taxes. I'm the first governor in twenty years 515 00:27:56,400 --> 00:27:59,960 Speaker 5: in Massachusetts to cut taxes. It's why I've expanded child care, 516 00:28:00,520 --> 00:28:03,600 Speaker 5: made community college costs free so more people can get 517 00:28:03,680 --> 00:28:07,320 Speaker 5: educated and ready for the workforce. And at the same time, 518 00:28:07,680 --> 00:28:12,480 Speaker 5: the Trump administration is doing things that interfere with that progress. 519 00:28:12,000 --> 00:28:13,399 Speaker 1: And that hurt us. 520 00:28:13,600 --> 00:28:18,440 Speaker 5: And I continue to encourage leadership in Congress to speak up. 521 00:28:18,560 --> 00:28:22,760 Speaker 5: Democratic leadership in Congress and democratic leadership in Congress. Frankly, 522 00:28:22,840 --> 00:28:25,000 Speaker 5: everybody should be speaking up. I mean, I don't know 523 00:28:25,000 --> 00:28:28,440 Speaker 5: about you, but if somebody comes from my power tries 524 00:28:28,480 --> 00:28:31,560 Speaker 5: to usurp my power, I'd be pretty upset about that. 525 00:28:32,000 --> 00:28:36,880 Speaker 5: Trump has completely usurped Congress's power. And the Republicans are fine, 526 00:28:36,880 --> 00:28:39,560 Speaker 5: They're just like, okay, take it, they're giving it away. 527 00:28:39,720 --> 00:28:41,960 Speaker 5: But the Democrats got to stand strong on that. They've 528 00:28:42,040 --> 00:28:45,760 Speaker 5: also got to talk to and tell the stories of 529 00:28:45,840 --> 00:28:48,920 Speaker 5: what's happening to everyday Americans out there every day. They 530 00:28:48,960 --> 00:28:49,760 Speaker 5: should be doing that. 531 00:28:50,240 --> 00:28:53,200 Speaker 1: Yeah, no, I don't understand why they're not doing daily 532 00:28:53,240 --> 00:28:57,120 Speaker 1: press conferences. The way Cuomo did during the pandemic, just 533 00:28:57,920 --> 00:29:01,200 Speaker 1: narrating what's happening, because if they don't, what we saw 534 00:29:01,440 --> 00:29:04,880 Speaker 1: from the twenty twenty four cycle is Republicans certainly won't. 535 00:29:05,000 --> 00:29:07,680 Speaker 5: Yeah, I mean, I do see people like a Brian Shadza, 536 00:29:07,720 --> 00:29:10,640 Speaker 5: Chris Murphy. There are people who've been speaking up. I also, 537 00:29:10,720 --> 00:29:14,440 Speaker 5: Molly think it's important. I don't need press conferences necessarily 538 00:29:14,720 --> 00:29:17,520 Speaker 5: on the Capitol steps. I don't personally think that's affected 539 00:29:18,360 --> 00:29:22,280 Speaker 5: and alongside everyday americans in your district. In fact, let 540 00:29:22,320 --> 00:29:24,560 Speaker 5: them tell the story of what it means to be 541 00:29:24,800 --> 00:29:29,239 Speaker 5: the person who was responsible for inspecting our medicines or 542 00:29:29,280 --> 00:29:31,840 Speaker 5: our milk or or farms, and what it means to 543 00:29:31,920 --> 00:29:34,200 Speaker 5: no longer have them in the job. Right, It's got 544 00:29:34,200 --> 00:29:36,479 Speaker 5: to be more of that. And I just see everyday 545 00:29:36,520 --> 00:29:39,080 Speaker 5: Americans speaking up, and I try to tell everybody when 546 00:29:39,120 --> 00:29:41,400 Speaker 5: you see that, share their social media. 547 00:29:41,920 --> 00:29:44,840 Speaker 1: Yeah, I mean. One of the I think the great 548 00:29:44,960 --> 00:29:48,560 Speaker 1: crimes of the Biden administration was that they did not 549 00:29:48,760 --> 00:29:51,760 Speaker 1: do any interviews for the first two years, and then 550 00:29:51,800 --> 00:29:54,440 Speaker 1: they were like, why can't we get any coverage? And 551 00:29:54,480 --> 00:29:57,280 Speaker 1: it was like, meanwhile, Donald Trump, that White House is 552 00:29:57,320 --> 00:30:01,200 Speaker 1: always a very leaky White House. The media has him 553 00:30:01,320 --> 00:30:04,600 Speaker 1: in there all the time. It strikes me that already 554 00:30:04,640 --> 00:30:09,280 Speaker 1: we're seeing a number of cases where the federal courts 555 00:30:09,280 --> 00:30:11,440 Speaker 1: are coming in and saying this is illegal. Right, Like, 556 00:30:11,560 --> 00:30:14,880 Speaker 1: practically much of doge is. There's no part of the 557 00:30:14,920 --> 00:30:17,360 Speaker 1: constitution where it's like, if the president has a really 558 00:30:17,480 --> 00:30:20,240 Speaker 1: rich donor, he can bring him in to run stuff. 559 00:30:20,480 --> 00:30:24,360 Speaker 1: So a lot of this is illegal. We haven't yet 560 00:30:24,680 --> 00:30:29,200 Speaker 1: quite seen them ignore the courts, but they're certainly we've 561 00:30:29,240 --> 00:30:32,920 Speaker 1: certainly seen jd. Vance muse about it. I heard Governor 562 00:30:32,960 --> 00:30:35,120 Speaker 1: Mills talk about this a little bit. But what do 563 00:30:35,160 --> 00:30:37,680 Speaker 1: we do when because it feels like it's coming where 564 00:30:37,680 --> 00:30:40,560 Speaker 1: Donald Trump says you can't have that FEMA money because 565 00:30:41,080 --> 00:30:44,320 Speaker 1: I'm not happy with the whatever the way you rake 566 00:30:44,400 --> 00:30:47,720 Speaker 1: your forests, or I mean, what happens when he plays 567 00:30:47,800 --> 00:30:50,200 Speaker 1: chicken with money that you paid in. 568 00:30:50,680 --> 00:30:55,200 Speaker 5: We absolutely cannot accept that the whole system crumbles if 569 00:30:55,360 --> 00:30:58,080 Speaker 5: he does not comply with the law. And people need 570 00:30:58,120 --> 00:31:02,040 Speaker 5: to understand, Okay, yes, he's trying to weaponize federal funding 571 00:31:02,080 --> 00:31:05,080 Speaker 5: and he's threatened to do that, and in that case, 572 00:31:05,400 --> 00:31:09,520 Speaker 5: people need to be out expressing the outrage. Leaning on 573 00:31:10,160 --> 00:31:14,480 Speaker 5: congressional Republicans to buck up and take their power back, 574 00:31:14,560 --> 00:31:18,040 Speaker 5: because it may be somebody else's district impacted today, but 575 00:31:18,120 --> 00:31:21,120 Speaker 5: it could be yours tomorrow and red state, blue state. 576 00:31:21,200 --> 00:31:23,560 Speaker 5: How many people are on medicaid in this country? How 577 00:31:23,560 --> 00:31:27,560 Speaker 5: many people rely on food assistants or seniors relying on 578 00:31:28,000 --> 00:31:30,760 Speaker 5: help paying heating bills, how many people are in vas 579 00:31:31,160 --> 00:31:35,000 Speaker 5: These are not Republican Democrat issues. There are people in 580 00:31:35,080 --> 00:31:38,640 Speaker 5: red states and blue states similarly situated who are going 581 00:31:38,680 --> 00:31:42,280 Speaker 5: to be similarly devastated. Your comment earlier that we've had 582 00:31:42,480 --> 00:31:46,160 Speaker 5: successful rulings to stop some of this bad stuff, illegal 583 00:31:46,200 --> 00:31:49,600 Speaker 5: stuff from happening, is true. It's also true though, that 584 00:31:49,640 --> 00:31:53,719 Speaker 5: the administration is finding ways to slow things down. Okay, 585 00:31:54,080 --> 00:31:57,240 Speaker 5: I still from my office. I'm calling on funds that 586 00:31:57,720 --> 00:32:01,880 Speaker 5: should have been released that havn't come through. I'm calling 587 00:32:02,040 --> 00:32:06,440 Speaker 5: on NIH funding. They haven't even convened the next panel 588 00:32:06,560 --> 00:32:11,000 Speaker 5: to study to approve the next pipeline of NIH funding, 589 00:32:11,080 --> 00:32:15,719 Speaker 5: and so that effectively shuts down research. So it's important 590 00:32:15,760 --> 00:32:19,600 Speaker 5: to bring those cases and enforce the law. People also 591 00:32:19,720 --> 00:32:22,640 Speaker 5: need to know there is real time heard happening. Look 592 00:32:22,640 --> 00:32:25,200 Speaker 5: at the Federal workers right, My dad was one. He 593 00:32:25,240 --> 00:32:27,800 Speaker 5: was chief of water supply for EPA for many years. 594 00:32:27,880 --> 00:32:29,800 Speaker 5: I got a guy out in Springfield, mass He runs 595 00:32:29,880 --> 00:32:35,760 Speaker 5: the VA center out there. Four time deployed in Iraq, Afghanistan, 596 00:32:36,080 --> 00:32:40,240 Speaker 5: combat veteran fired. A third of federal workforce is fired. 597 00:32:40,600 --> 00:32:43,160 Speaker 5: So even though you know rulings are out there saying 598 00:32:43,200 --> 00:32:45,040 Speaker 5: they can't be fired and what they did was wrong, 599 00:32:45,320 --> 00:32:47,320 Speaker 5: you still have had. What are we up to now, 600 00:32:47,400 --> 00:32:51,160 Speaker 5: Seventy eighty thousand people leave the workforce a political career, 601 00:32:51,200 --> 00:32:54,640 Speaker 5: folks who we need. So people just need to be 602 00:32:54,920 --> 00:32:58,440 Speaker 5: both educated about what's happening right now and then speaking 603 00:32:58,520 --> 00:33:00,840 Speaker 5: up because I don't know, well, you know, plenty of 604 00:33:00,880 --> 00:33:02,880 Speaker 5: people voted for Trump thinking that he was going to 605 00:33:02,920 --> 00:33:05,280 Speaker 5: ower their costs. I don't think they voted for him 606 00:33:05,320 --> 00:33:07,720 Speaker 5: thinking that Elon Musk was going to be running around 607 00:33:08,000 --> 00:33:10,520 Speaker 5: with a chainsaw and a bunch of nineteen twenty year 608 00:33:10,560 --> 00:33:13,120 Speaker 5: old rose looking at all our data, taking all our 609 00:33:13,160 --> 00:33:15,280 Speaker 5: bank account information, and figuring out a way that they 610 00:33:15,320 --> 00:33:18,680 Speaker 5: could potentially manipulate that to their business advantage. 611 00:33:18,880 --> 00:33:22,080 Speaker 1: Nobody knows right, nobody knows what DOGE is doing right. 612 00:33:22,200 --> 00:33:25,520 Speaker 1: It's a black box. There's no transparency. We saw a website. 613 00:33:25,560 --> 00:33:28,040 Speaker 1: It had some stuff a lot of it wasn't accurate. 614 00:33:28,360 --> 00:33:31,800 Speaker 1: Is there any way to stop dog because, like it 615 00:33:31,840 --> 00:33:37,160 Speaker 1: does strike me as we're hurtling towards inadvertent privacy data 616 00:33:37,320 --> 00:33:39,440 Speaker 1: disaster here totally. 617 00:33:39,480 --> 00:33:42,680 Speaker 5: As a former attorney general, we used to go after 618 00:33:42,800 --> 00:33:46,800 Speaker 5: companies that engaged in the kind of wholesale data breach 619 00:33:47,200 --> 00:33:50,560 Speaker 5: that the Trump administration has essentially allowed. Right, So it's 620 00:33:50,640 --> 00:33:55,360 Speaker 5: kind of ironic. The lack of protections or security that 621 00:33:55,400 --> 00:33:58,120 Speaker 5: are in place is really really disturbing. I think a 622 00:33:58,120 --> 00:34:00,680 Speaker 5: couple things. One, yes, it's got to be gated. These 623 00:34:00,720 --> 00:34:04,840 Speaker 5: people are unelected and they are doing things that they 624 00:34:04,880 --> 00:34:07,880 Speaker 5: were not given authority by Congress to do. So it's 625 00:34:07,920 --> 00:34:10,120 Speaker 5: got to be stopped in the courts. It's also got 626 00:34:10,160 --> 00:34:12,560 Speaker 5: to be stopped in the court of public opinion. So 627 00:34:12,640 --> 00:34:15,799 Speaker 5: every day when they have to remove another item from 628 00:34:15,800 --> 00:34:18,680 Speaker 5: the so called wall of receipts because it's bogus and 629 00:34:18,719 --> 00:34:22,399 Speaker 5: made up, there's making up numbers of savings. That's got 630 00:34:22,440 --> 00:34:26,040 Speaker 5: to be called out. Alongside that, the continued telling of 631 00:34:26,080 --> 00:34:30,239 Speaker 5: the destruction. Look, I'm all for efficiency and government, you know, 632 00:34:30,640 --> 00:34:33,120 Speaker 5: I'm all for In fact, I used to prosecute cases 633 00:34:33,160 --> 00:34:36,879 Speaker 5: of fraud, waste and abuse. Okay, we all want more efficiency. 634 00:34:37,120 --> 00:34:41,719 Speaker 5: Taxpayers deserve to have their dollars, you know, maximized, right, 635 00:34:41,920 --> 00:34:45,279 Speaker 5: But you don't destroy it. You don't just just just 636 00:34:45,520 --> 00:34:48,759 Speaker 5: take a wrecking ball to it, which is what this 637 00:34:49,000 --> 00:34:52,680 Speaker 5: really is. From planes falling out of the sky, to 638 00:34:53,200 --> 00:34:56,440 Speaker 5: nobody being home for a little bit at the nuclear stockpile, 639 00:34:56,760 --> 00:35:00,359 Speaker 5: to doctors being let go from VA hospitals, like this 640 00:35:00,719 --> 00:35:04,600 Speaker 5: is bad. It does not make America stronger. It does 641 00:35:04,640 --> 00:35:07,520 Speaker 5: not make us more independent. And like I say, to 642 00:35:07,560 --> 00:35:10,759 Speaker 5: go back to the medical research, which, by the way, 643 00:35:10,800 --> 00:35:13,120 Speaker 5: the government after World War II decided they were going 644 00:35:13,200 --> 00:35:17,120 Speaker 5: to invest in research and science and from that sprang 645 00:35:17,280 --> 00:35:22,879 Speaker 5: forth all sorts of entrepreneurship, business, world saving cures and treatments. 646 00:35:23,080 --> 00:35:23,279 Speaker 4: Right. 647 00:35:23,719 --> 00:35:26,719 Speaker 5: They want to stop all of that, and they want 648 00:35:26,760 --> 00:35:29,040 Speaker 5: to give it all away to China. Right now, who's 649 00:35:29,120 --> 00:35:32,280 Speaker 5: recruiting to take all of that business back to China. 650 00:35:32,640 --> 00:35:35,720 Speaker 5: It doesn't make any sense. I want America to remain 651 00:35:35,800 --> 00:35:40,000 Speaker 5: the greatest superpower on Earth and the world depends on that. 652 00:35:40,440 --> 00:35:42,279 Speaker 5: So I don't understand that Molly. 653 00:35:42,360 --> 00:35:45,800 Speaker 1: The NIH Fund, just because there was you know, Eline 654 00:35:45,840 --> 00:35:47,680 Speaker 1: cooked up this idea that it was going to cut 655 00:35:47,719 --> 00:35:51,160 Speaker 1: indirect funding to fifteen versent. It wasn't a brilliant I mean, 656 00:35:51,200 --> 00:35:53,880 Speaker 1: this person has never had anyone around him who has 657 00:35:53,920 --> 00:35:56,080 Speaker 1: ever told him the truth Like that was what was 658 00:35:56,120 --> 00:35:58,600 Speaker 1: so clear to make. And you know, the indirect funding, 659 00:35:58,640 --> 00:36:00,560 Speaker 1: the way it works is that some times it's as 660 00:36:00,600 --> 00:36:02,960 Speaker 1: much as sixty five percent, but it goes to the institution. 661 00:36:03,120 --> 00:36:08,520 Speaker 1: You have a lot of those said institutions in your state, Harvard, mit. 662 00:36:09,080 --> 00:36:11,319 Speaker 1: So first of all, it was the court put a 663 00:36:11,320 --> 00:36:13,560 Speaker 1: pause on it said that they could go back, but 664 00:36:13,640 --> 00:36:16,640 Speaker 1: the money has not gone back. Right, They're still himming 665 00:36:16,640 --> 00:36:18,280 Speaker 1: in hawing with the grant money, right. 666 00:36:18,400 --> 00:36:21,400 Speaker 5: That's right, and they're not allowing new pots of money 667 00:36:21,440 --> 00:36:24,319 Speaker 5: to be you know, discussed in studies and set up 668 00:36:24,360 --> 00:36:27,320 Speaker 5: for a future pipeline. Here's why this is really important 669 00:36:27,400 --> 00:36:29,960 Speaker 5: and what people have got to understand. We're talking about 670 00:36:29,960 --> 00:36:33,040 Speaker 5: three and a half billion dollars for the state of Massasachusetts. 671 00:36:33,120 --> 00:36:37,560 Speaker 5: It's going to our teaching hospitals, our research institutions, our 672 00:36:37,760 --> 00:36:42,799 Speaker 5: universities to fund postdocs who right now are discovering the 673 00:36:42,920 --> 00:36:47,400 Speaker 5: cure for cancer, for Alzheimer's, for Parkinson's, for als. And 674 00:36:47,440 --> 00:36:50,000 Speaker 5: what the Trump administration and what NIH has done is 675 00:36:50,000 --> 00:36:52,680 Speaker 5: say we're cutting that off, and we're not giving you 676 00:36:52,840 --> 00:36:55,800 Speaker 5: that funding. Now, let me tell you about end quote 677 00:36:55,840 --> 00:36:59,480 Speaker 5: indirect costs. This is a to me nomenclature and semantics. 678 00:36:59,480 --> 00:37:04,280 Speaker 5: At the end of the day, when you support indirect funds, 679 00:37:04,280 --> 00:37:07,840 Speaker 5: you were supporting that. That's research. You can't do research 680 00:37:07,960 --> 00:37:14,040 Speaker 5: without a lab. You can't run experiments in computing without electricity. 681 00:37:14,280 --> 00:37:16,480 Speaker 5: We're talking about eggs lately a lot. Right, If we 682 00:37:16,520 --> 00:37:19,400 Speaker 5: want eggs in this country, do businesses just pay for 683 00:37:19,440 --> 00:37:22,560 Speaker 5: the hen No, they pay for the feed and the 684 00:37:22,640 --> 00:37:26,520 Speaker 5: lighting and the barn and whatever. Right, Like, you need 685 00:37:26,560 --> 00:37:29,759 Speaker 5: to invest in the entirety of these things in order 686 00:37:29,800 --> 00:37:32,759 Speaker 5: to be able to actually have something from that. And 687 00:37:33,239 --> 00:37:36,600 Speaker 5: with NIH funding, so much has happened in science as 688 00:37:36,600 --> 00:37:39,000 Speaker 5: a result. And here's the thing, Mollie, do you know 689 00:37:39,000 --> 00:37:41,320 Speaker 5: how many red so called red states. And I don't 690 00:37:41,360 --> 00:37:45,960 Speaker 5: like the red state blue state naming, but Alabama, for example, 691 00:37:46,560 --> 00:37:49,880 Speaker 5: NIH funds to the point where it is the largest 692 00:37:49,880 --> 00:37:53,880 Speaker 5: employer in the state of Alabama. Texas has got really 693 00:37:53,920 --> 00:37:58,000 Speaker 5: important research happening. This is a big deal. It's bad 694 00:37:58,080 --> 00:38:01,960 Speaker 5: for all our states. It's bad for American competitiveness because again, 695 00:38:02,160 --> 00:38:04,680 Speaker 5: I want America to be the place of invention. And 696 00:38:04,719 --> 00:38:07,839 Speaker 5: where redesign and develop the cures and the treatments. And 697 00:38:07,880 --> 00:38:10,319 Speaker 5: you know what kills me the most? And I don't 698 00:38:10,360 --> 00:38:13,359 Speaker 5: care Democrat, Republican who you are. You mean to say 699 00:38:13,480 --> 00:38:17,759 Speaker 5: right now that it's a good thing that NIH and 700 00:38:17,800 --> 00:38:21,960 Speaker 5: the Trump administration have cut funding and research off. They 701 00:38:21,960 --> 00:38:25,880 Speaker 5: could cut research off for the cure that God forbid, 702 00:38:26,000 --> 00:38:29,840 Speaker 5: your little kid gets cancer, right or your parent gets Alzheimer's. 703 00:38:30,080 --> 00:38:32,920 Speaker 5: That makes no sense. I'm hoping that there can be 704 00:38:32,960 --> 00:38:35,560 Speaker 5: more alignment around that. I'm hoping that there can be 705 00:38:35,880 --> 00:38:40,680 Speaker 5: a greater apprehension about how the system works, how important 706 00:38:40,719 --> 00:38:44,040 Speaker 5: it has been, how much industry has sprung from it 707 00:38:44,120 --> 00:38:47,799 Speaker 5: in innovation in this country, and what it has contributed 708 00:38:47,800 --> 00:38:50,960 Speaker 5: to GDP And to say nothing of the lives saved 709 00:38:51,320 --> 00:38:55,560 Speaker 5: and that is happening in all states with NIH funding. 710 00:38:55,960 --> 00:38:59,399 Speaker 1: No, it's just wild. I mean, it just is sort 711 00:38:59,400 --> 00:39:03,960 Speaker 1: of mind blowing. And if you find that the federal 712 00:39:04,000 --> 00:39:07,719 Speaker 1: government plays check in with money, I mean, what are 713 00:39:07,760 --> 00:39:11,760 Speaker 1: you willing to sort of do to really fight back 714 00:39:12,040 --> 00:39:15,320 Speaker 1: on a federal level when it comes to Trump world 715 00:39:15,400 --> 00:39:18,839 Speaker 1: sort of terrorizing states that it feels mad at. 716 00:39:19,239 --> 00:39:21,160 Speaker 5: Of course I'll fight back. Of course I'll stand up 717 00:39:21,200 --> 00:39:23,080 Speaker 5: I'll stand up for my state. I'll stand up for 718 00:39:23,120 --> 00:39:25,759 Speaker 5: my residents. I'll stand up for our businesses. I'll stand 719 00:39:25,840 --> 00:39:28,520 Speaker 5: up for our economy. I was trying to have this 720 00:39:28,560 --> 00:39:32,160 Speaker 5: conversation with the Trump administration about wind for example. This 721 00:39:32,200 --> 00:39:34,799 Speaker 5: is an administration that's been all about haven't we heard 722 00:39:35,320 --> 00:39:39,120 Speaker 5: America energy independence? Well, it seems to me if that's 723 00:39:39,160 --> 00:39:42,319 Speaker 5: really what you believe, then you shouldn't take solar off 724 00:39:42,360 --> 00:39:44,399 Speaker 5: the table. You can have oil and gas, But why 725 00:39:44,400 --> 00:39:46,800 Speaker 5: are you taking solar off the table, which is deployed 726 00:39:46,840 --> 00:39:49,680 Speaker 5: in the states around including many red states around the country. 727 00:39:49,880 --> 00:39:52,560 Speaker 5: Why are you taking away that energy source? Why are 728 00:39:52,640 --> 00:39:55,720 Speaker 5: you killing the wind industry which right now is powering 729 00:39:55,760 --> 00:39:59,000 Speaker 5: homes off the coast of Massachusetts with its windmills, and 730 00:39:59,040 --> 00:40:02,480 Speaker 5: we've got others and deployment. By the way, talk about 731 00:40:02,520 --> 00:40:06,960 Speaker 5: an economic impact in Massachusetts alone, Molly, We've got nineteen 732 00:40:07,040 --> 00:40:11,160 Speaker 5: hundred contracts in forty one states related to the wind industry. 733 00:40:11,400 --> 00:40:15,880 Speaker 5: These are jobs, labor jobs, construction jobs, all of which 734 00:40:15,920 --> 00:40:20,080 Speaker 5: goes away if the Trump administration takes away the wind industry. 735 00:40:20,480 --> 00:40:23,280 Speaker 5: You know, they're making the steal for our stuff. In Kentucky, 736 00:40:23,320 --> 00:40:26,440 Speaker 5: they're making the ships for our stuff in Louisiana, Texas, 737 00:40:26,480 --> 00:40:29,120 Speaker 5: like it has such a big effect, and like I 738 00:40:29,200 --> 00:40:31,960 Speaker 5: want lower costs, and one way to have lower energy 739 00:40:32,000 --> 00:40:34,839 Speaker 5: cost is you're bringing more energy online. So why would 740 00:40:34,880 --> 00:40:38,560 Speaker 5: you take away something that can be a huge value 741 00:40:38,560 --> 00:40:42,919 Speaker 5: add to energy independence for this country. I'll fight back. 742 00:40:43,000 --> 00:40:50,200 Speaker 5: I'm trying to explain impact and consequence and to encourage 743 00:40:50,239 --> 00:40:53,080 Speaker 5: people to do that because Congress has got to act. 744 00:40:53,280 --> 00:40:55,080 Speaker 5: Congress has got to step up and act, and I 745 00:40:55,080 --> 00:40:57,120 Speaker 5: don't think that they're going to do that unless they 746 00:40:57,520 --> 00:40:59,960 Speaker 5: hear the pain and the plight of every day America 747 00:41:00,040 --> 00:41:02,520 Speaker 5: and saying, hey, this isn't what I signed up for. 748 00:41:02,960 --> 00:41:03,600 Speaker 5: It's hurting me. 749 00:41:04,080 --> 00:41:10,440 Speaker 1: Thank you, Governor. Good to be with you. No moment 750 00:41:10,960 --> 00:41:15,000 Speaker 1: set Jesse CANNONBALLI junk fast. 751 00:41:15,000 --> 00:41:17,279 Speaker 2: I think one of the funny things a lot of 752 00:41:17,320 --> 00:41:20,120 Speaker 2: people will always think about is like, will the corporations 753 00:41:20,280 --> 00:41:22,920 Speaker 2: come to our defense? Will the people who are invested 754 00:41:22,920 --> 00:41:24,880 Speaker 2: in our economy come to the people's defense? 755 00:41:25,040 --> 00:41:26,239 Speaker 4: And we're starting to see it. 756 00:41:26,280 --> 00:41:29,160 Speaker 2: I was shocked, as somebody who reads marketing emails and 757 00:41:29,200 --> 00:41:31,200 Speaker 2: lets some of them get in my path, how many 758 00:41:31,400 --> 00:41:34,359 Speaker 2: emails I got this week from big companies saying we're 759 00:41:34,400 --> 00:41:38,480 Speaker 2: not raising our prices yet, but Target CEO Streams said 760 00:41:38,840 --> 00:41:42,239 Speaker 2: you'll pay more because of Trump's tariffs within days. 761 00:41:42,480 --> 00:41:45,800 Speaker 1: So I want to point out here that the billionaire's 762 00:41:46,120 --> 00:41:49,880 Speaker 1: elon Jeff Bezos, that crew was more than happy to 763 00:41:49,960 --> 00:41:53,360 Speaker 1: kiss the rang because they thought it made good business sense. 764 00:41:53,440 --> 00:41:56,759 Speaker 1: But now that these companies realize that this is going 765 00:41:56,840 --> 00:42:00,920 Speaker 1: to be bad for business, they're becoming honest Again. Do 766 00:42:01,040 --> 00:42:03,359 Speaker 1: I think that these people are doing this because they 767 00:42:03,440 --> 00:42:05,680 Speaker 1: love us and want to see us healthy. No, they 768 00:42:05,719 --> 00:42:08,400 Speaker 1: don't give a fuck about us. It is more that 769 00:42:08,520 --> 00:42:12,400 Speaker 1: these corporations don't want to be blamed for downsides. They 770 00:42:12,480 --> 00:42:14,920 Speaker 1: want to protect their bottom line. They know, if you're 771 00:42:14,960 --> 00:42:18,840 Speaker 1: the Target CEO, you want to make money for your shareholders. 772 00:42:19,040 --> 00:42:22,000 Speaker 1: You know that making things more expensive for no reason 773 00:42:22,480 --> 00:42:26,200 Speaker 1: is going to decrease value for your shareholders. You're going 774 00:42:26,239 --> 00:42:27,719 Speaker 1: to make less money because things are going to be 775 00:42:27,719 --> 00:42:29,640 Speaker 1: more expensive and people aren't going to spend as much. 776 00:42:29,719 --> 00:42:32,920 Speaker 1: So they are trying to get Trump to change his mind. 777 00:42:33,280 --> 00:42:37,719 Speaker 1: And now we're watching this parade of people trying to 778 00:42:37,719 --> 00:42:40,880 Speaker 1: get Trump to change his mind. The problem is Trump 779 00:42:40,920 --> 00:42:44,320 Speaker 1: is not thoughtful or sensible. He doesn't respond. One of 780 00:42:44,400 --> 00:42:46,880 Speaker 1: the things you saw with Biden administration, even if you 781 00:42:46,880 --> 00:42:49,520 Speaker 1: don't like them, when people wanted them to do something, 782 00:42:49,760 --> 00:42:51,439 Speaker 1: they could get them to do it. So a great 783 00:42:51,480 --> 00:42:54,160 Speaker 1: example is like there was this bank that all the 784 00:42:54,239 --> 00:42:58,920 Speaker 1: tech bros were invested in. It crashed. Everybody put pressure 785 00:42:58,960 --> 00:43:01,480 Speaker 1: on them to save this bank. They save the bank. 786 00:43:01,600 --> 00:43:03,520 Speaker 1: Do I think that they should have saved the bank? 787 00:43:03,680 --> 00:43:06,399 Speaker 1: I don't fucking know. But the point was that were 788 00:43:06,560 --> 00:43:09,200 Speaker 1: very responsive to things. So if you said stuff to them, 789 00:43:09,239 --> 00:43:12,480 Speaker 1: they sort of understood, here's Trump. This is a totally 790 00:43:12,520 --> 00:43:15,399 Speaker 1: stupid idea. Everyone in the world thinks it's stupid. I'm 791 00:43:15,440 --> 00:43:17,520 Speaker 1: not sure you could find five people who think tariffs 792 00:43:17,520 --> 00:43:19,880 Speaker 1: are a good idea, but you can find one, and 793 00:43:19,920 --> 00:43:22,920 Speaker 1: that one is called Donald Trump. Now everyone in the 794 00:43:22,920 --> 00:43:24,439 Speaker 1: world is going to try to get him to change 795 00:43:24,440 --> 00:43:26,840 Speaker 1: his mind. You know, now already there are carveouts for 796 00:43:26,960 --> 00:43:30,240 Speaker 1: car companies and they're going to be more carve outs. 797 00:43:30,400 --> 00:43:34,960 Speaker 1: But you know, the markets are rallying back, so maybe 798 00:43:35,000 --> 00:43:38,440 Speaker 1: they think that, you know, he delayed the car tariff. 799 00:43:38,480 --> 00:43:42,200 Speaker 1: People are taking whatever little bits they're hoping Trump will 800 00:43:42,239 --> 00:43:45,920 Speaker 1: change his mind. And you know, we heard Howard Lutnix 801 00:43:45,960 --> 00:43:48,000 Speaker 1: say maybe he will, maybe he won't. I mean the 802 00:43:48,080 --> 00:43:51,799 Speaker 1: instability is bad for the market and a whole, but 803 00:43:52,040 --> 00:43:54,560 Speaker 1: they're trying to be very optimistic. What I think is 804 00:43:54,640 --> 00:43:59,080 Speaker 1: so incredibly annoying about this tariff stuff is that this 805 00:43:59,360 --> 00:44:02,200 Speaker 1: market is desperate to give Donald Trump the benefit of 806 00:44:02,200 --> 00:44:05,440 Speaker 1: the damn right, Like they really want him to be 807 00:44:05,520 --> 00:44:07,799 Speaker 1: good for the market. Like if a Democrat did this 808 00:44:07,880 --> 00:44:10,480 Speaker 1: kind of stuff, the market would just crater. But they 809 00:44:10,640 --> 00:44:14,120 Speaker 1: just somehow like trickle down. These people so want trickle 810 00:44:14,200 --> 00:44:15,520 Speaker 1: down economics to work. 811 00:44:15,719 --> 00:44:18,239 Speaker 2: I compared it the other night to rooting for your 812 00:44:18,400 --> 00:44:21,080 Speaker 2: perpetual drunk driving Fred when he walks up to the 813 00:44:21,080 --> 00:44:23,839 Speaker 2: bar that the bartender suddenly drops dead and they can't 814 00:44:23,880 --> 00:44:24,359 Speaker 2: serve them. 815 00:44:24,680 --> 00:44:25,759 Speaker 1: Yeah, so that's where we are. 816 00:44:26,080 --> 00:44:27,680 Speaker 4: That's about the odds are of it going. 817 00:44:27,719 --> 00:44:31,560 Speaker 1: Well, Yeah, there we go. That's it for this episode 818 00:44:31,600 --> 00:44:37,759 Speaker 1: of Fast Politics. Tune in every Monday, Wednesday, Thursday and 819 00:44:37,960 --> 00:44:41,960 Speaker 1: Saturday to hear the best minds and politics make sense 820 00:44:42,000 --> 00:44:46,360 Speaker 1: of all this chaos. If you enjoy this podcast, please 821 00:44:46,400 --> 00:44:49,440 Speaker 1: send it to a friend and keep the conversation going. 822 00:44:49,880 --> 00:44:51,040 Speaker 1: Thanks for listening.