1 00:00:00,640 --> 00:00:04,160 Speaker 1: Hi, I'm Molly John Fast and this is Fast Politics, 2 00:00:04,360 --> 00:00:07,120 Speaker 1: where we discussed the top political headlines with some of 3 00:00:07,160 --> 00:00:11,840 Speaker 1: today's best minds. And Donald Trump has canceled former VP 4 00:00:12,039 --> 00:00:15,480 Speaker 1: Harris's Secret Service detail. We have such a great show 5 00:00:15,560 --> 00:00:19,200 Speaker 1: for you today. The Nation's get Here stops by to 6 00:00:19,320 --> 00:00:24,840 Speaker 1: talk about the damage done by disassembling the United States government. 7 00:00:25,320 --> 00:00:29,720 Speaker 1: Then we'll talk to Congresswoman Mikey Cheryl about her run 8 00:00:30,040 --> 00:00:35,280 Speaker 1: for New Jersey governor. But first we have the news Swally. 9 00:00:35,920 --> 00:00:41,199 Speaker 2: I know this administration is not so hot on facts, indicators, gauges, 10 00:00:41,720 --> 00:00:45,080 Speaker 2: other metrics, especially when it comes to the economy. But 11 00:00:45,400 --> 00:00:49,040 Speaker 2: the FED is their inflation gauge and ain't looking good. 12 00:00:49,400 --> 00:00:56,600 Speaker 1: Yeah, it turns out facts really care about Trump World's feelings. 13 00:00:58,520 --> 00:01:01,240 Speaker 1: I'm just kidding. So here's the deal. The head of 14 00:01:01,280 --> 00:01:05,240 Speaker 1: the Bureau of Labor Statistics revised the journalists claim Trump 15 00:01:05,280 --> 00:01:10,840 Speaker 1: fired her. The FED refused to lower interest rates. Trump 16 00:01:11,000 --> 00:01:13,920 Speaker 1: tried to fire Lisa Cook. We'll see what happens. Trump 17 00:01:13,920 --> 00:01:18,560 Speaker 1: would like to fire anyone who releases data that does 18 00:01:18,600 --> 00:01:23,319 Speaker 1: not say basically North Korean style. Mister Trump, you are 19 00:01:23,600 --> 00:01:27,480 Speaker 1: the greatest leader. And again, like that cabinet meeting that 20 00:01:27,560 --> 00:01:29,880 Speaker 1: happened this week where they were all going around like 21 00:01:29,920 --> 00:01:33,559 Speaker 1: who can make a bigger Trump statue. That's a little 22 00:01:33,600 --> 00:01:37,040 Speaker 1: bit about what's happening here. Trump is working really hard 23 00:01:37,240 --> 00:01:41,120 Speaker 1: to get rid of data which doesn't create the vibes 24 00:01:41,160 --> 00:01:44,319 Speaker 1: that he wants. The data's woke, Molly, Yeah, the datas woke. 25 00:01:44,440 --> 00:01:47,080 Speaker 1: Math is woke. But it's also like this has worked 26 00:01:47,080 --> 00:01:49,920 Speaker 1: for Trump, right. Trump has flooded the zone. He has 27 00:01:50,400 --> 00:01:53,320 Speaker 1: drowned out all the other noise. This has worked, So 28 00:01:53,400 --> 00:01:55,960 Speaker 1: why won't it work with this? And here's the problem. 29 00:01:56,160 --> 00:01:58,800 Speaker 1: The problem is if it works. The problem is if 30 00:01:58,840 --> 00:02:02,720 Speaker 1: people don't understand and what's coming these indicators. We have 31 00:02:02,800 --> 00:02:07,160 Speaker 1: these indicators for reason to guide us to make better decisions, 32 00:02:07,600 --> 00:02:12,080 Speaker 1: to help us avoid catastrophe. What's happening here is that 33 00:02:12,120 --> 00:02:15,720 Speaker 1: he's covering up information that will be useful for making 34 00:02:15,919 --> 00:02:20,679 Speaker 1: smarter decisions which can avoid catastrophe. So the core PCEE, 35 00:02:21,000 --> 00:02:23,679 Speaker 1: which excludes food and energy costs. And by the way, 36 00:02:23,720 --> 00:02:25,320 Speaker 1: I just want to point out, I'm in a place 37 00:02:25,360 --> 00:02:28,920 Speaker 1: that's quite expensive right now, but the gas here is 38 00:02:29,000 --> 00:02:31,760 Speaker 1: over four dollars a gallon the same with here. Yeah, 39 00:02:31,919 --> 00:02:34,520 Speaker 1: that seems very high to me, and especially because the 40 00:02:34,560 --> 00:02:37,919 Speaker 1: Trump administration is saying that gas is under two dollars 41 00:02:37,919 --> 00:02:40,560 Speaker 1: a gallon. I don't see that anywhere. So what it's 42 00:02:40,560 --> 00:02:42,680 Speaker 1: saying is compared to the same period a year ago, 43 00:02:42,880 --> 00:02:47,320 Speaker 1: the personal consumption Expenditures Price Index increased two point six 44 00:02:47,360 --> 00:02:51,000 Speaker 1: percent in July, so that means that inflation is up. 45 00:02:51,120 --> 00:02:53,720 Speaker 1: So now you have this problem, which I think is 46 00:02:53,840 --> 00:02:56,240 Speaker 1: really worth thinking about for a minute. Democrats got a 47 00:02:56,280 --> 00:02:59,680 Speaker 1: lot of flak for saying that inflation was transitory. You'll 48 00:02:59,680 --> 00:03:01,800 Speaker 1: remember that they got a lot of flack, and a 49 00:03:01,919 --> 00:03:07,040 Speaker 1: lot of conservative pundits were like, Democrats are lying about inflation. 50 00:03:07,520 --> 00:03:10,440 Speaker 1: Things are more expensive. They are not telling the truth. 51 00:03:10,639 --> 00:03:13,240 Speaker 1: And they were telling the truth, but they were trying 52 00:03:13,320 --> 00:03:17,000 Speaker 1: to explain it, and people didn't want to hear an explanation. 53 00:03:17,080 --> 00:03:19,840 Speaker 1: They just wanted things to be cheaper. Okay, now we 54 00:03:19,919 --> 00:03:23,079 Speaker 1: have inflation. It's actually happening, and it's not being caused 55 00:03:23,080 --> 00:03:25,560 Speaker 1: by a once in a lifetime pandemic. No, it's being 56 00:03:25,600 --> 00:03:28,160 Speaker 1: caused by what What's it been caused by by tariffs? 57 00:03:28,680 --> 00:03:34,160 Speaker 1: Tariffs and maybe some cutting of wind power, soul or 58 00:03:34,240 --> 00:03:37,040 Speaker 1: you know that we built all this expansion that Trump 59 00:03:37,080 --> 00:03:39,280 Speaker 1: is now trying to shut down, So probably some of 60 00:03:39,320 --> 00:03:42,040 Speaker 1: that and you know, some of the inflation is probably 61 00:03:42,040 --> 00:03:45,120 Speaker 1: being caused by a lot of anxiety when it comes 62 00:03:45,120 --> 00:03:47,640 Speaker 1: to businesses if you know, they don't know what's going 63 00:03:47,720 --> 00:03:50,680 Speaker 1: to happen. That's also from the terrafs. So you have 64 00:03:50,760 --> 00:03:55,920 Speaker 1: inflation here happening, the administration saying it's not happening, and 65 00:03:55,960 --> 00:03:58,560 Speaker 1: I think that it makes it much more dangerous you 66 00:03:58,600 --> 00:04:00,800 Speaker 1: know what's going to happen. Also, I want to add, 67 00:04:01,000 --> 00:04:03,800 Speaker 1: we look at this economy right now. The growth is 68 00:04:03,840 --> 00:04:07,680 Speaker 1: all coming from AI, this artificial intelligence which is going 69 00:04:07,680 --> 00:04:09,600 Speaker 1: to take away all our jobs and make us all 70 00:04:09,680 --> 00:04:13,760 Speaker 1: much much stupider, probably because it's going to write everything 71 00:04:13,800 --> 00:04:14,040 Speaker 1: for us. 72 00:04:14,640 --> 00:04:17,480 Speaker 2: Also, let someone to commit suicide this week, So maybe 73 00:04:17,480 --> 00:04:19,000 Speaker 2: that's what all happens then, Right. 74 00:04:19,200 --> 00:04:21,600 Speaker 1: So the point is, you know, so much of the 75 00:04:21,640 --> 00:04:25,320 Speaker 1: growth in this economy is AI and not other things. 76 00:04:25,520 --> 00:04:29,080 Speaker 1: If that AI bubble bursts, there's a real thinking that 77 00:04:29,160 --> 00:04:32,040 Speaker 1: the rest of the economy will create. Also we've had 78 00:04:32,240 --> 00:04:34,520 Speaker 1: you know, So the point of all of this is 79 00:04:34,560 --> 00:04:38,920 Speaker 1: that knowing things is meant to help you, not hurt you. 80 00:04:39,279 --> 00:04:42,400 Speaker 1: And Trump's war on data is ultimately one of his 81 00:04:42,520 --> 00:04:44,360 Speaker 1: most destructive wars. 82 00:04:44,640 --> 00:04:47,080 Speaker 2: Yeah, and For the record, the national average for gas 83 00:04:47,160 --> 00:04:48,960 Speaker 2: right now is three dollars and twenty cents. 84 00:04:49,200 --> 00:04:51,760 Speaker 1: Okay, so where we are is more expensive. 85 00:04:51,960 --> 00:04:53,880 Speaker 2: Yeah, where we are is more expensive, but we're a 86 00:04:53,960 --> 00:04:56,520 Speaker 2: lot closer to the real price than mister Trump anyway, 87 00:04:56,640 --> 00:04:58,320 Speaker 2: So Maya, I'm going to be real here a lot 88 00:04:58,360 --> 00:05:00,640 Speaker 2: of time when I hear Latin my and goes, I'm 89 00:05:00,640 --> 00:05:02,480 Speaker 2: good on that. But I realized I had to learn 90 00:05:02,520 --> 00:05:05,800 Speaker 2: what a deminimous rule was this week, because it's looking 91 00:05:05,880 --> 00:05:07,920 Speaker 2: like it's about the fuck our economy pretty bad. 92 00:05:08,240 --> 00:05:10,280 Speaker 1: Yeah, I was reading an article about this, and I 93 00:05:10,360 --> 00:05:12,720 Speaker 1: think it's really true. And I've written about this too, 94 00:05:13,040 --> 00:05:17,080 Speaker 1: that Trump world takes these zombie laws like the Comstock 95 00:05:17,160 --> 00:05:19,680 Speaker 1: Act or you know, different sort of stupid things we 96 00:05:19,760 --> 00:05:22,520 Speaker 1: abandoned in the past but that were never repealed. That 97 00:05:22,560 --> 00:05:26,400 Speaker 1: Trump uses to do a lot of things like prevent 98 00:05:26,440 --> 00:05:29,479 Speaker 1: the mailing of abortion pills. So this is a great example. 99 00:05:29,560 --> 00:05:33,360 Speaker 1: The deminimous exception was meant for buying things that were small. 100 00:05:33,680 --> 00:05:37,280 Speaker 1: I was introduced in nineteen thirty eight to avoid the 101 00:05:37,320 --> 00:05:40,920 Speaker 1: expense of collecting only small amounts of import duties into 102 00:05:40,920 --> 00:05:43,920 Speaker 1: the US. Now, why do you think that is? Because 103 00:05:44,440 --> 00:05:47,080 Speaker 1: very expensive to tear small things. Right. 104 00:05:47,200 --> 00:05:49,760 Speaker 2: Yeah, it's the same way that you let some things 105 00:05:49,920 --> 00:05:52,440 Speaker 2: ride because it's not even worth charging for them. 106 00:05:52,600 --> 00:05:54,640 Speaker 1: Right. So you're going to buy a pair of pants, 107 00:05:54,720 --> 00:05:57,440 Speaker 1: the tariff is going to be whatever. Say you buy 108 00:05:57,440 --> 00:05:59,400 Speaker 1: a pair of pants that are one hundred dollars, the 109 00:05:59,440 --> 00:06:03,760 Speaker 1: tariff is seven bucks. So now you're going to have 110 00:06:03,800 --> 00:06:07,000 Speaker 1: a seven dollars tariff charge. By the way, I don't 111 00:06:07,000 --> 00:06:09,560 Speaker 1: know who they're hiring to do all of this, but 112 00:06:09,760 --> 00:06:12,000 Speaker 1: the point of this or not zero, but we went 113 00:06:12,040 --> 00:06:15,359 Speaker 1: from low, very targeted tariffs to whatever. This is the 114 00:06:15,440 --> 00:06:17,240 Speaker 1: point I want to make about this was it was 115 00:06:17,279 --> 00:06:19,800 Speaker 1: introduced in nineteen thirty eight. 116 00:06:20,480 --> 00:06:22,960 Speaker 2: Right, hummm, what was going on then? 117 00:06:23,000 --> 00:06:25,359 Speaker 1: I wonder what was going on there? And also, like 118 00:06:26,120 --> 00:06:28,840 Speaker 1: so much of what Trump is doing right now, it 119 00:06:29,000 --> 00:06:32,320 Speaker 1: feels like the run up to nineteen twenty nine. 120 00:06:32,720 --> 00:06:35,200 Speaker 2: Yeah, I really like creator in the show when you 121 00:06:35,240 --> 00:06:38,040 Speaker 2: call big balls Franz Ferdinand. That's going to stick with 122 00:06:38,080 --> 00:06:38,960 Speaker 2: me for quite a while. 123 00:06:39,000 --> 00:06:41,719 Speaker 1: Speaking of that era, that was pretty much my best moment. 124 00:06:41,920 --> 00:06:45,599 Speaker 2: Speaking of bad moments, this stuff with the massive walkouts 125 00:06:45,600 --> 00:06:47,920 Speaker 2: of the CDC. You know, sometimes we use the term 126 00:06:48,000 --> 00:06:50,400 Speaker 2: nightmare fuel. I like to call this nightmare jet fuel 127 00:06:50,440 --> 00:06:51,680 Speaker 2: because it's going to burn so bad. 128 00:06:51,920 --> 00:06:55,000 Speaker 1: There's long been a discussion in certain sections of the 129 00:06:55,040 --> 00:07:00,400 Speaker 1: internet that maybe RFK Junior will be the most active 130 00:07:00,640 --> 00:07:04,440 Speaker 1: member of Trump's cabinet, and it's certainly looking that way. 131 00:07:04,560 --> 00:07:07,760 Speaker 1: So he has brought in people who are anti vax, 132 00:07:07,839 --> 00:07:11,080 Speaker 1: who are anti science. We talk about this all the time. 133 00:07:11,240 --> 00:07:13,480 Speaker 1: These people didn't go to the federal government because they 134 00:07:13,480 --> 00:07:16,360 Speaker 1: couldn't get better jobs. People who are at the CDC 135 00:07:16,560 --> 00:07:19,280 Speaker 1: went there because they wanted to help people, because they 136 00:07:19,320 --> 00:07:22,560 Speaker 1: felt the government was the best way to make the 137 00:07:22,600 --> 00:07:25,680 Speaker 1: world a better place. These are members who have gotten 138 00:07:25,680 --> 00:07:29,440 Speaker 1: fired because they didn't agree with the people RFK Junior 139 00:07:29,520 --> 00:07:34,440 Speaker 1: put in there. And remember RFK has this financial incentive 140 00:07:34,960 --> 00:07:40,080 Speaker 1: to create an anti vax world. So this is this. 141 00:07:40,280 --> 00:07:44,040 Speaker 1: Susan Moraz was asked the CDC director she had just 142 00:07:44,120 --> 00:07:46,800 Speaker 1: been sworn in. She was voted in on party lines. 143 00:07:47,200 --> 00:07:51,000 Speaker 1: Patty Murphy said something quite good about her. She said, 144 00:07:51,400 --> 00:07:56,800 Speaker 1: Jeer was this woman who was worried she wouldn't be 145 00:07:56,800 --> 00:07:59,360 Speaker 1: able to stand up to RFK Junior, and in fact 146 00:07:59,480 --> 00:08:03,680 Speaker 1: she stood so much that RFC Junior fired her. This 147 00:08:03,760 --> 00:08:07,480 Speaker 1: is another one where he may actually not be able 148 00:08:07,520 --> 00:08:10,320 Speaker 1: to fire her. There was a shooting at the CDC 149 00:08:10,480 --> 00:08:15,320 Speaker 1: earlier this month, and remember, seven hundred and fifty HHS 150 00:08:15,360 --> 00:08:19,040 Speaker 1: employees went public on August twentieth with a letter sent 151 00:08:19,080 --> 00:08:23,200 Speaker 1: to Kennedy in Congress accusing him of contributing to harassment 152 00:08:23,400 --> 00:08:28,320 Speaker 1: and violence against government employees. Bill Cassidy, if you're listening, 153 00:08:30,240 --> 00:08:33,920 Speaker 1: perhaps this is the moment to get in there and 154 00:08:34,040 --> 00:08:37,800 Speaker 1: do something. You are a doctor. You know what's happening here? 155 00:08:38,040 --> 00:08:38,280 Speaker 2: Yeah? 156 00:08:38,440 --> 00:08:38,840 Speaker 1: Not good. 157 00:08:39,120 --> 00:08:42,000 Speaker 2: So one of the things that we learned during the 158 00:08:42,040 --> 00:08:45,400 Speaker 2: making of our special on Project twenty twenty five was 159 00:08:45,440 --> 00:08:49,560 Speaker 2: that one of its authors, Russ Fought, is particularly supposedly 160 00:08:49,679 --> 00:08:52,680 Speaker 2: talented at being able to find the minutia of how 161 00:08:52,720 --> 00:08:55,920 Speaker 2: you get around these pesky government rules, and you get 162 00:08:55,960 --> 00:08:59,520 Speaker 2: in there and cancel things and fudge what the meaning 163 00:08:59,520 --> 00:09:02,280 Speaker 2: of these laws ment to these checks and balances. And 164 00:09:02,520 --> 00:09:05,480 Speaker 2: today we have another action like that where the White 165 00:09:05,520 --> 00:09:08,439 Speaker 2: House was declared almost five billion dollars in four and eight. 166 00:09:08,520 --> 00:09:11,480 Speaker 2: You know early, can't you knowatter? Early canceled? 167 00:09:11,720 --> 00:09:14,199 Speaker 1: You know what's so interesting about that Project twenty twenty 168 00:09:14,200 --> 00:09:18,280 Speaker 1: five documentary that we did, which actually has aged extremely well. 169 00:09:18,760 --> 00:09:21,839 Speaker 1: And I take no pleasure in saying that because when 170 00:09:21,840 --> 00:09:24,280 Speaker 1: we were doing it, we were like, this is so insane, 171 00:09:24,400 --> 00:09:27,560 Speaker 1: this is so terrible, this is so like I remember 172 00:09:27,640 --> 00:09:29,440 Speaker 1: sitting there with you and be like, Eh, this is 173 00:09:29,480 --> 00:09:31,680 Speaker 1: what they're saying, but I don't know that they could 174 00:09:31,720 --> 00:09:34,360 Speaker 1: implement this. And it turns out, yes they can. What 175 00:09:34,440 --> 00:09:36,720 Speaker 1: I was so struck by was so much of it 176 00:09:36,880 --> 00:09:40,000 Speaker 1: was just how much Russ Fought, who had worked in 177 00:09:40,120 --> 00:09:44,440 Speaker 1: Trump's first administration, who had been in fact head of 178 00:09:44,480 --> 00:09:48,080 Speaker 1: omb in his first administration. So the Russavought really had 179 00:09:48,120 --> 00:09:51,320 Speaker 1: this idea and this is so much of this is 180 00:09:51,360 --> 00:09:54,800 Speaker 1: from Nixon. Russwot had this idea that he could just 181 00:09:54,920 --> 00:09:59,199 Speaker 1: cancel whatever he wanted because Congress was a bunch of cowards. Now, 182 00:09:59,360 --> 00:10:02,720 Speaker 1: I actually thought that Congress would want to keep some 183 00:10:02,800 --> 00:10:06,120 Speaker 1: of its power because these people are doing this job, right, 184 00:10:06,160 --> 00:10:08,959 Speaker 1: I mean they ran for office to get power. 185 00:10:09,800 --> 00:10:13,480 Speaker 2: Notoriously would you go into governments because you're a person 186 00:10:13,520 --> 00:10:16,440 Speaker 2: that is described as power hungry, right, But. 187 00:10:16,360 --> 00:10:19,040 Speaker 1: It turns out they're not power hungry when it comes 188 00:10:19,040 --> 00:10:22,440 Speaker 1: to standing up for themselves anyway. But all of this stuff, 189 00:10:22,520 --> 00:10:25,400 Speaker 1: like literally this idea that they'd be able to cancel 190 00:10:25,480 --> 00:10:30,280 Speaker 1: whatever they wanted, and that's The thing that's so stupid 191 00:10:30,480 --> 00:10:34,080 Speaker 1: when these members of Congress made deals with the Trump administration, 192 00:10:34,280 --> 00:10:37,480 Speaker 1: was like, what are you guys thinking, Like, it doesn't 193 00:10:37,520 --> 00:10:39,760 Speaker 1: matter what you they're not going to do what you 194 00:10:39,840 --> 00:10:41,760 Speaker 1: want them to do. I mean, this is when you 195 00:10:41,840 --> 00:10:46,480 Speaker 1: stop following the law, which this administration has done numerous times, 196 00:10:46,480 --> 00:10:49,480 Speaker 1: when you just decide you're going to do whatever you want, 197 00:10:49,679 --> 00:10:53,160 Speaker 1: you're just going to follow with vibes. When that happens, 198 00:10:53,720 --> 00:10:57,080 Speaker 1: stuff like this is what is the result. So they're 199 00:10:57,120 --> 00:11:02,120 Speaker 1: declaring four point nine billion and fourign canceled. They'd love 200 00:11:02,240 --> 00:11:04,840 Speaker 1: to cancel fore An aid. So this is I think 201 00:11:04,880 --> 00:11:09,080 Speaker 1: really important. We're about to have this government funding deadline 202 00:11:09,440 --> 00:11:12,959 Speaker 1: come up in September. There's a real question they need 203 00:11:13,000 --> 00:11:17,479 Speaker 1: Democrats to fund the government. Now, Trump, you'll remember, wants 204 00:11:17,840 --> 00:11:20,280 Speaker 1: the government to stop working. So I think it'll be 205 00:11:20,280 --> 00:11:24,680 Speaker 1: a real question here what happens, because there's no world 206 00:11:24,760 --> 00:11:28,440 Speaker 1: in which russ bought is like, oh, yeah, you're right, 207 00:11:28,640 --> 00:11:31,760 Speaker 1: this is bad. We shouldn't shut down the government. You know, 208 00:11:31,880 --> 00:11:34,600 Speaker 1: let's just we'll give that foreign aid. No, there's no 209 00:11:34,640 --> 00:11:37,440 Speaker 1: way that's going to happen. So I think the question 210 00:11:37,600 --> 00:11:41,200 Speaker 1: is what is the democrats threshold? For pain when it 211 00:11:41,200 --> 00:11:44,280 Speaker 1: comes to a shutdown, and if they shut down, who 212 00:11:44,360 --> 00:11:47,760 Speaker 1: blames who? Right? Will voters blame Democrats for a shutdown, 213 00:11:47,800 --> 00:11:51,920 Speaker 1: which is what Republicans say, or will voters understand that 214 00:11:52,040 --> 00:11:55,640 Speaker 1: this shutdown is because of the actions of the Trump 215 00:11:55,640 --> 00:11:57,480 Speaker 1: administration and that I don't know. 216 00:11:57,800 --> 00:11:59,280 Speaker 2: Yeah, it's a good question. 217 00:12:03,200 --> 00:12:06,080 Speaker 1: Get here is a contributor to the nation and the 218 00:12:06,120 --> 00:12:11,920 Speaker 1: host of the time of monsters. Welcome back to Fast Politics. 219 00:12:11,960 --> 00:12:14,959 Speaker 3: G here always good to be on Fast Politics. 220 00:12:18,679 --> 00:12:23,440 Speaker 1: Fast we gotta get we gotta announce announced the brand 221 00:12:23,559 --> 00:12:28,400 Speaker 1: before we get going. You live in Canada, take me 222 00:12:28,440 --> 00:12:28,679 Speaker 1: with you. 223 00:12:28,800 --> 00:12:31,319 Speaker 3: Actually, let's go. 224 00:12:32,200 --> 00:12:35,079 Speaker 1: Big news of the last couple of days is what 225 00:12:35,240 --> 00:12:37,959 Speaker 1: RFK Junior has done to HHS. 226 00:12:38,200 --> 00:12:39,640 Speaker 3: Yeah that's right. Yeah. 227 00:12:39,760 --> 00:12:43,240 Speaker 1: After promising Republican senators that he wouldn't do any of 228 00:12:43,280 --> 00:12:47,840 Speaker 1: that stuff, he did all of that stuff. So let's talk. 229 00:12:47,679 --> 00:12:51,840 Speaker 3: About have predicted who could have predicted? But this uh 230 00:12:52,480 --> 00:12:56,440 Speaker 3: a crank who is in. 231 00:12:56,400 --> 00:12:58,840 Speaker 1: Rock Creek Park fired? 232 00:12:58,880 --> 00:13:02,079 Speaker 3: All the doctors tell you who has parts of his 233 00:13:02,200 --> 00:13:08,440 Speaker 3: brain missing or what the act would act in an 234 00:13:08,440 --> 00:13:11,240 Speaker 3: erotic way. I could not have been predicted. No one 235 00:13:11,320 --> 00:13:15,120 Speaker 3: is to blame. Let's not question who nominated who I 236 00:13:15,120 --> 00:13:16,760 Speaker 3: mean in the long run. I mean, I do think 237 00:13:16,760 --> 00:13:20,360 Speaker 3: the RFK junior stuff, along with the general dismantling of 238 00:13:20,400 --> 00:13:23,040 Speaker 3: the civil service and the bureocracy, is going to be 239 00:13:23,040 --> 00:13:25,320 Speaker 3: the long run damage. And I think I'd like to 240 00:13:25,320 --> 00:13:28,400 Speaker 3: see the Democrats thinking a little bit harder about what's 241 00:13:28,400 --> 00:13:30,600 Speaker 3: going to be actually done to this to restore this, 242 00:13:30,640 --> 00:13:33,400 Speaker 3: because it's easier to destroy than to build, you know, 243 00:13:33,480 --> 00:13:35,920 Speaker 3: like people like to complain about red tape and buocracy, 244 00:13:36,320 --> 00:13:39,199 Speaker 3: but like a lot of like American government is actually 245 00:13:39,200 --> 00:13:40,880 Speaker 3: in a un remarkable achievement. I mean, if you think 246 00:13:40,880 --> 00:13:42,920 Speaker 3: of something like Social Security, you know, to be able 247 00:13:42,920 --> 00:13:45,120 Speaker 3: to send up all those texts and as it turns out, 248 00:13:45,200 --> 00:13:48,120 Speaker 3: like with remarkable efficiency because all the sort of bake 249 00:13:48,160 --> 00:13:51,199 Speaker 3: accounts that Elon Musk count were actually not receiving money. 250 00:13:51,520 --> 00:13:54,320 Speaker 3: It took like generations to build up that. It took 251 00:13:54,360 --> 00:13:57,360 Speaker 3: generations to you know, get rid of folio, to get 252 00:13:57,440 --> 00:13:59,760 Speaker 3: rid of beazls. But all things is like, you know, 253 00:14:00,440 --> 00:14:04,280 Speaker 3: one bad administration to dismantle that. And we don't know 254 00:14:04,320 --> 00:14:07,080 Speaker 3: what the short run factor is going to be, but 255 00:14:07,120 --> 00:14:10,600 Speaker 3: it's easy to imagine, like you know, like imagine COVID scenario, 256 00:14:10,679 --> 00:14:14,120 Speaker 3: but not with doctor FACI, but with RFK junior in charge, 257 00:14:14,280 --> 00:14:16,880 Speaker 3: it's likely to be very bad. I'm also think you'd 258 00:14:16,920 --> 00:14:18,560 Speaker 3: like in terms of the long run, like like who 259 00:14:18,559 --> 00:14:21,360 Speaker 3: will want to work for the government, Like, if you 260 00:14:21,480 --> 00:14:24,600 Speaker 3: have like any sort of like you know, skill in 261 00:14:24,640 --> 00:14:27,360 Speaker 3: science or medicine, do you want to like put your 262 00:14:27,360 --> 00:14:29,600 Speaker 3: life in a position where like it just takes one 263 00:14:30,080 --> 00:14:33,360 Speaker 3: crack plot Republican administration to like, you know, throw your 264 00:14:33,440 --> 00:14:39,200 Speaker 3: life work away. Yeah, yeah, I actually don't know. I mean, yeah, 265 00:14:39,200 --> 00:14:41,720 Speaker 3: we're supposed to be confident fundits, but I actually don't 266 00:14:41,760 --> 00:14:44,760 Speaker 3: know from a physician of humility, like how you get 267 00:14:44,800 --> 00:14:48,000 Speaker 3: back from that? How you I mean the comparison people 268 00:14:48,040 --> 00:14:52,360 Speaker 3: are throwing around is like Sinko, the crackpot geneticist that 269 00:14:52,400 --> 00:14:57,120 Speaker 3: the Stalin put in charge, you know, the stupid beliefs 270 00:14:57,160 --> 00:15:00,080 Speaker 3: that led to mast starvation in the nineteen thirties with 271 00:15:00,120 --> 00:15:05,280 Speaker 3: the old time sabotage really Soviet biology for decades to come, 272 00:15:05,960 --> 00:15:08,560 Speaker 3: even after he was gone. And I do actually see 273 00:15:08,560 --> 00:15:12,200 Speaker 3: a kind of similar scenario with I'll add another provisal, 274 00:15:12,240 --> 00:15:14,560 Speaker 3: which is like one has to think and all these 275 00:15:14,600 --> 00:15:18,120 Speaker 3: things in terms of like globally, the New York Times 276 00:15:18,120 --> 00:15:21,120 Speaker 3: had a very good article, very interesting article about how 277 00:15:21,240 --> 00:15:25,240 Speaker 3: China is like at the cusp of takeoff in terms 278 00:15:25,400 --> 00:15:29,800 Speaker 3: of medical research and biomedical research, that they have a 279 00:15:29,920 --> 00:15:33,960 Speaker 3: critical mass of scientists, they have the investment, and they 280 00:15:34,000 --> 00:15:36,200 Speaker 3: have a state that is very interested in us, and 281 00:15:36,280 --> 00:15:38,720 Speaker 3: you know that they already have some real achievements in 282 00:15:38,800 --> 00:15:40,960 Speaker 3: terms of their own COVID vaccine and other things. 283 00:15:40,960 --> 00:15:44,800 Speaker 4: But we better at home that China is doing that because, 284 00:15:45,000 --> 00:15:48,920 Speaker 4: like I understand that from a competitive aspect, like while 285 00:15:49,000 --> 00:15:52,160 Speaker 4: China's eating our lunch and China is the biggest enemy 286 00:15:52,200 --> 00:15:54,760 Speaker 4: that the United States has, and we're just putting ourselves 287 00:15:54,840 --> 00:15:55,760 Speaker 4: back and back and back. 288 00:15:56,040 --> 00:15:58,360 Speaker 1: But the reality is, if China's not doing this research, 289 00:15:58,440 --> 00:15:58,720 Speaker 1: no one. 290 00:15:59,000 --> 00:16:02,720 Speaker 3: It's exactly this same with renewables. I mean, like you know, 291 00:16:02,960 --> 00:16:05,680 Speaker 3: like you know, like Adam Twos of Columbing University has 292 00:16:05,680 --> 00:16:07,560 Speaker 3: this kind of amazing chart where like you know, as 293 00:16:07,560 --> 00:16:10,240 Speaker 3: recently as twenty five years ago, China was less than 294 00:16:10,240 --> 00:16:12,560 Speaker 3: one percent of solar and the United States was the 295 00:16:12,600 --> 00:16:15,920 Speaker 3: global leader, and now it is, you know, the opposite 296 00:16:16,000 --> 00:16:21,600 Speaker 3: that China is nearly seventy percent and electric vehiculs cheaper. 297 00:16:22,320 --> 00:16:25,680 Speaker 1: It's like that's you know, we're a country that's very 298 00:16:25,720 --> 00:16:29,680 Speaker 1: stupid like we you know, we subsidize oil and gas, 299 00:16:29,920 --> 00:16:34,520 Speaker 1: and we don't subsidize media. We don't subsidize newspapers, we 300 00:16:34,560 --> 00:16:38,080 Speaker 1: don't subsidize local news. We don't subsidize you know, anything 301 00:16:38,120 --> 00:16:40,880 Speaker 1: that seems like it might be make us smarter. 302 00:16:41,400 --> 00:16:43,240 Speaker 3: Well, we do have people who subsidize that, which is 303 00:16:43,240 --> 00:16:44,080 Speaker 3: people like Peter. 304 00:16:43,960 --> 00:16:48,280 Speaker 1: TiO except for the right yeah, for the wrong room. 305 00:16:48,200 --> 00:16:50,960 Speaker 3: For the exactly for the wrong reasons, that prefer for 306 00:16:51,280 --> 00:16:53,320 Speaker 3: damaging ways and the New York Times. I'd like, I 307 00:16:53,320 --> 00:16:55,920 Speaker 3: gut have to kind of basically look at the United 308 00:16:55,960 --> 00:16:59,680 Speaker 3: States and China in terms of science, and these are 309 00:16:59,720 --> 00:17:02,440 Speaker 3: two that have made two different beats. And China is 310 00:17:02,480 --> 00:17:06,359 Speaker 3: betting on that there will be like new developments in 311 00:17:06,400 --> 00:17:08,119 Speaker 3: the future and that they're going to invest in it, 312 00:17:08,400 --> 00:17:12,119 Speaker 3: and the US is really betting in the in the era, 313 00:17:13,040 --> 00:17:15,680 Speaker 3: in the area of energy, it's betting on possibleppeal, it's 314 00:17:15,680 --> 00:17:19,000 Speaker 3: betting on cold, it's beending on your twentieth century or 315 00:17:19,000 --> 00:17:23,200 Speaker 3: even nineteenth century technologies. And in the area of medicine, 316 00:17:23,280 --> 00:17:27,320 Speaker 3: it's investing in quack stuff. It's investing in ourcage. You're here, 317 00:17:27,400 --> 00:17:31,679 Speaker 3: who you know, I'm sorry, has deranged ideas. Yeah, I mean, 318 00:17:31,720 --> 00:17:33,879 Speaker 3: I mean I think that this is like kind of 319 00:17:33,920 --> 00:17:36,959 Speaker 3: like a really serious problem, and I don't even know 320 00:17:37,040 --> 00:17:39,119 Speaker 3: like where to begin, Like it fes like it goes 321 00:17:39,440 --> 00:17:42,399 Speaker 3: like well beyond like sort of Trump and Trump in 322 00:17:42,440 --> 00:17:44,720 Speaker 3: this sense has always been a symptom. I mean, it 323 00:17:44,880 --> 00:17:48,480 Speaker 3: is more about a country where, because of inequality and 324 00:17:48,520 --> 00:17:52,200 Speaker 3: poor education, you just don't have a public that has 325 00:17:52,240 --> 00:17:56,679 Speaker 3: been taught the value of science. And it's very you know, 326 00:17:56,760 --> 00:17:59,639 Speaker 3: like like the villagers in a Frankenstein movie. It is 327 00:17:59,720 --> 00:18:02,480 Speaker 3: like quick, they're like form a mob and say, like, 328 00:18:02,600 --> 00:18:04,720 Speaker 3: you know, we got to get rid of doctor Pozzi. 329 00:18:04,760 --> 00:18:06,720 Speaker 3: You know. Well, I mean, in the Frankistin movie makes sense, 330 00:18:06,720 --> 00:18:09,600 Speaker 3: Doctor Frankensin was bad, but actually in the real world, 331 00:18:09,960 --> 00:18:10,800 Speaker 3: science is good. 332 00:18:11,280 --> 00:18:14,240 Speaker 1: Yeah, And I think that's right. And so there's this 333 00:18:15,400 --> 00:18:22,199 Speaker 1: cdc HS says, there's this human services, the all of 334 00:18:22,240 --> 00:18:25,560 Speaker 1: the kind of medicine. So there's a real question about 335 00:18:25,560 --> 00:18:30,240 Speaker 1: what happens next if we have another pandemic. And then 336 00:18:30,800 --> 00:18:34,760 Speaker 1: there's also you know, the national security stuff. I mean, 337 00:18:34,800 --> 00:18:38,040 Speaker 1: I just feel like there are so many different bad 338 00:18:38,080 --> 00:18:39,960 Speaker 1: places we're in, But the one that I want to 339 00:18:39,960 --> 00:18:44,280 Speaker 1: talk to you about the most was tariffs because we're 340 00:18:44,280 --> 00:18:48,080 Speaker 1: seeing some you know, these tariffs are humongous. They are 341 00:18:48,240 --> 00:18:50,880 Speaker 1: in place in a lot of places, they're not thaughtful. 342 00:18:51,000 --> 00:18:54,320 Speaker 1: So for example, steel steel, there's like a fifty percent 343 00:18:54,359 --> 00:18:58,879 Speaker 1: tariffon steal. So it's cheaper probably to bring in things 344 00:18:58,880 --> 00:19:02,560 Speaker 1: with steel than to bring in steel and manufacture here. 345 00:19:03,000 --> 00:19:05,600 Speaker 1: So there's going to be all sorts of these dumb, 346 00:19:05,960 --> 00:19:08,800 Speaker 1: you know, kind of nuance e things and that where 347 00:19:08,960 --> 00:19:12,760 Speaker 1: you're going to have people manufacturing in other places because 348 00:19:12,760 --> 00:19:15,199 Speaker 1: of the tariffs are not thought out. There are so 349 00:19:15,400 --> 00:19:19,399 Speaker 1: many parts of the Trump administration that are not so many, 350 00:19:19,400 --> 00:19:21,320 Speaker 1: but there are a few things where there's a good 351 00:19:21,359 --> 00:19:24,760 Speaker 1: there's a grain of a good idea, and because they're 352 00:19:24,800 --> 00:19:28,960 Speaker 1: so incompetent, it's put together in such a way that 353 00:19:29,160 --> 00:19:31,480 Speaker 1: it's going to negate any upside. 354 00:19:31,880 --> 00:19:35,280 Speaker 3: Yeah talks, And I think that's exactly right. I mean, like, 355 00:19:35,280 --> 00:19:37,960 Speaker 3: like you know, like I've never you know, bought this 356 00:19:38,040 --> 00:19:41,920 Speaker 3: sort of neoliberal line we'll always have free trade. I 357 00:19:42,000 --> 00:19:45,400 Speaker 3: think that there has been historically, like real examples of 358 00:19:45,440 --> 00:19:48,239 Speaker 3: like you know, well thought out industrial policy. I think 359 00:19:48,320 --> 00:19:52,520 Speaker 3: China itself is an example, as was Korea and South 360 00:19:52,560 --> 00:19:55,879 Speaker 3: Korea and Japan earlier, where like if you actually you know, 361 00:19:56,080 --> 00:19:58,679 Speaker 3: do industrial policy right, you can actually like you know, 362 00:19:58,720 --> 00:20:01,640 Speaker 3: growth the industries you want. But having said that, that's 363 00:20:01,680 --> 00:20:04,080 Speaker 3: how what Trump is doing a lot of it stuff 364 00:20:04,080 --> 00:20:06,280 Speaker 3: like makes like no sense. I mean, the one thing 365 00:20:06,320 --> 00:20:09,439 Speaker 3: I think about is India, where like suddenly there's like 366 00:20:09,440 --> 00:20:12,880 Speaker 3: fifty percent tariffs on India. This is a country where 367 00:20:12,880 --> 00:20:16,040 Speaker 3: you know, there's like was a bipartisan consensus going back 368 00:20:16,040 --> 00:20:18,560 Speaker 3: to the nineteen nineties of what you actually wanted, like 369 00:20:18,640 --> 00:20:21,159 Speaker 3: card of India is a growing power and it's an 370 00:20:21,160 --> 00:20:24,360 Speaker 3: alternative to China. And if the United States wants to 371 00:20:24,400 --> 00:20:26,439 Speaker 3: you know, you know, like have balance in Asia, it 372 00:20:26,480 --> 00:20:29,000 Speaker 3: needs to develop more ties with India. And Trump has 373 00:20:29,040 --> 00:20:31,400 Speaker 3: really just thrown that away. And as as you mention 374 00:20:31,480 --> 00:20:34,560 Speaker 3: with the steel, I mean, one other aspect is selling abroad. 375 00:20:34,600 --> 00:20:36,200 Speaker 3: I mean, like in Canada we kind of seal this 376 00:20:36,320 --> 00:20:37,920 Speaker 3: because you know, we're not gonna be able to sell 377 00:20:37,960 --> 00:20:41,359 Speaker 3: steel to the United States. But the other aspect is 378 00:20:41,400 --> 00:20:44,480 Speaker 3: because the United States under Trump is so deregulated into 379 00:20:44,560 --> 00:20:47,760 Speaker 3: environmentally bad our steel is actually like much more attractive 380 00:20:47,800 --> 00:20:52,199 Speaker 3: now to Europe because the carnage repression has put in 381 00:20:52,280 --> 00:20:55,399 Speaker 3: like regulations to have like sort of like carbon friendly steel. 382 00:20:55,560 --> 00:20:57,560 Speaker 3: And there's a lot of places in the world, especially 383 00:20:57,880 --> 00:21:00,199 Speaker 3: like in Europe, but not just Europe, in Asia as 384 00:21:00,200 --> 00:21:02,240 Speaker 3: well that are kind of like looking at these things, 385 00:21:02,680 --> 00:21:05,360 Speaker 3: and so you're basically going to create an alternative trading 386 00:21:05,400 --> 00:21:08,359 Speaker 3: block which is outside the United States, and one is 387 00:21:08,400 --> 00:21:13,840 Speaker 3: already kind of seeing less forming between the Europeans, Canada, Australia. 388 00:21:15,320 --> 00:21:17,679 Speaker 3: You look at countries like you know, India, which is 389 00:21:17,760 --> 00:21:20,520 Speaker 3: like you know, has real conflicts with China a lot more, 390 00:21:20,800 --> 00:21:24,280 Speaker 3: you know, a border conflict with China just five years ago, 391 00:21:24,359 --> 00:21:26,800 Speaker 3: but which is now like you know, looking to China's 392 00:21:26,840 --> 00:21:30,199 Speaker 3: a trade alternative. So basically what the terriff's worlds do 393 00:21:30,960 --> 00:21:32,680 Speaker 3: is like, if there's going to be the US is 394 00:21:32,680 --> 00:21:35,280 Speaker 3: a fortress US, well, the rest of the world will 395 00:21:35,320 --> 00:21:37,359 Speaker 3: just find ways to trade with each other. 396 00:21:37,520 --> 00:21:40,480 Speaker 1: The thing about the tariffs is like that is actually 397 00:21:40,600 --> 00:21:45,080 Speaker 1: kind of a liberal policy, right, making sure that free 398 00:21:45,119 --> 00:21:49,199 Speaker 1: trade doesn't kill American manufacturing. Yeah, that's like a Bernie 399 00:21:49,280 --> 00:21:52,680 Speaker 1: Sanders policy that was you know, it wasn't a Bill 400 00:21:52,760 --> 00:21:57,760 Speaker 1: Clinton policy, but it has roots in American liberalism. Another 401 00:21:57,840 --> 00:22:01,520 Speaker 1: thing that does is this idea that more of a 402 00:22:01,560 --> 00:22:04,879 Speaker 1: sales tax, right, that's maybe not so liberal, but you 403 00:22:04,920 --> 00:22:08,320 Speaker 1: could see a corporate tax, which is very liberal. So 404 00:22:08,760 --> 00:22:11,879 Speaker 1: if you look at the tariffs, they are basically both 405 00:22:11,920 --> 00:22:14,680 Speaker 1: of who's paying the tariffs. Some of the tariff is 406 00:22:14,760 --> 00:22:17,160 Speaker 1: being paid by a corporation, so that's a corporate tax, 407 00:22:17,200 --> 00:22:20,600 Speaker 1: which is something Democrats have historically loved and Republicans have 408 00:22:20,680 --> 00:22:23,760 Speaker 1: historically hated. And some of it is being paid by 409 00:22:23,840 --> 00:22:27,000 Speaker 1: the consumers, which is a sales tax. So you have 410 00:22:27,119 --> 00:22:29,840 Speaker 1: Donald Trump and he's like, I have raised all of 411 00:22:29,880 --> 00:22:32,560 Speaker 1: these billions of dollars, but they're all taxes. 412 00:22:32,840 --> 00:22:33,040 Speaker 2: Yeah. 413 00:22:33,119 --> 00:22:34,600 Speaker 3: No, I mean, I mean that's the other thing. The 414 00:22:34,640 --> 00:22:38,080 Speaker 3: tariff is like kind of a huge tax increase. Again, 415 00:22:38,240 --> 00:22:40,919 Speaker 3: like it's done in such a blunt and arbitrary way 416 00:22:41,320 --> 00:22:45,040 Speaker 3: that it's not absolutely clear what the goal is or 417 00:22:45,040 --> 00:22:47,520 Speaker 3: if you know, Like as I said, I'm a company's 418 00:22:47,520 --> 00:22:50,680 Speaker 3: favorite of industrial policy, and certainly, I mean I think 419 00:22:50,720 --> 00:22:53,800 Speaker 3: Biden was mixed success, but was trying to do like 420 00:22:53,880 --> 00:22:57,240 Speaker 3: industrial policy to rebuild manufacturing. I mean, with Trump with 421 00:22:57,280 --> 00:23:02,440 Speaker 3: the tariffs, I think that we shouldn't too much policy intelligence. 422 00:23:02,480 --> 00:23:04,960 Speaker 3: I think he's using the rhetoric and the language because 423 00:23:04,960 --> 00:23:06,639 Speaker 3: he knows that there are a lot of people in 424 00:23:06,680 --> 00:23:09,840 Speaker 3: the working class who have been angered by the way 425 00:23:09,880 --> 00:23:12,399 Speaker 3: that free trade worked against their address, and he can 426 00:23:12,440 --> 00:23:15,439 Speaker 3: take it harvest that anger. That's definitely the case. But 427 00:23:15,480 --> 00:23:16,879 Speaker 3: I mean, if you have actually look at the way 428 00:23:16,920 --> 00:23:19,440 Speaker 3: he's carried out tariffs, with all the sort of switches 429 00:23:19,480 --> 00:23:21,639 Speaker 3: going back and forth, like to me, it seems like 430 00:23:21,800 --> 00:23:24,600 Speaker 3: the real goal is just profit for Trump and his cronies. 431 00:23:25,320 --> 00:23:27,679 Speaker 3: Like it seems like the major is like a lot 432 00:23:27,720 --> 00:23:29,960 Speaker 3: of them to manipulate the stock market. 433 00:23:29,840 --> 00:23:32,679 Speaker 1: And tariffs are good for manipulating the stock market, and 434 00:23:32,680 --> 00:23:36,480 Speaker 1: they're also good for cutout where you can give your 435 00:23:36,520 --> 00:23:37,440 Speaker 1: friends deals. 436 00:23:37,920 --> 00:23:39,960 Speaker 3: So yeah, I know, it's just the kind of crony 437 00:23:40,000 --> 00:23:43,119 Speaker 3: capitalism where like but also like getting everyone to kiss 438 00:23:43,119 --> 00:23:46,160 Speaker 3: the ring to like feed Trump's narcissism with all these 439 00:23:46,160 --> 00:23:49,400 Speaker 3: big companies, there's a reason why, like you know, cook 440 00:23:49,400 --> 00:23:52,479 Speaker 3: of Apple, like you know, give crump that ridiculous. 441 00:23:52,160 --> 00:23:55,359 Speaker 1: Ji jaw because Tim Apple. 442 00:23:55,920 --> 00:24:01,199 Speaker 5: Yeah, yeah, so I don't that once you'd credit too 443 00:24:01,320 --> 00:24:04,120 Speaker 5: much policy in told just as it is the sort 444 00:24:04,160 --> 00:24:08,040 Speaker 5: of you know, manifestation of the same sort of like narcissism. 445 00:24:07,840 --> 00:24:12,120 Speaker 3: And ultimately like very kind of damaging. And I think, yeah, 446 00:24:12,160 --> 00:24:15,040 Speaker 3: I mean politically, I think the interesting thing is I 447 00:24:15,040 --> 00:24:16,800 Speaker 3: think we're gonna see the effects of this. We already 448 00:24:16,800 --> 00:24:19,359 Speaker 3: see the effects of this in terms of rising prices, 449 00:24:19,600 --> 00:24:21,600 Speaker 3: which you know, like Trump and them are gonna like, 450 00:24:21,640 --> 00:24:23,800 Speaker 3: you know, say, well this is d I or this 451 00:24:24,080 --> 00:24:26,520 Speaker 3: is like the Biden administration or whatever. But I mean, 452 00:24:26,600 --> 00:24:28,880 Speaker 3: like you you know, like a lot of this will 453 00:24:28,880 --> 00:24:32,520 Speaker 3: be eating up by consumers. And I don't know that 454 00:24:32,600 --> 00:24:37,360 Speaker 3: you're gonna have like a high wage plus high prices. 455 00:24:37,400 --> 00:24:39,480 Speaker 3: Post can make sense, but I actually don't see the 456 00:24:39,520 --> 00:24:42,520 Speaker 3: high wages aspect of red No, it's hard to see 457 00:24:42,520 --> 00:24:45,440 Speaker 3: this as anything other than it's gonna have a very 458 00:24:45,520 --> 00:24:47,040 Speaker 3: bad effect on ordinary people. 459 00:24:47,359 --> 00:24:51,360 Speaker 1: It feels like we're in the fuck around period now right, 460 00:24:51,440 --> 00:24:57,080 Speaker 1: like high tariffs, firing all the CDC. So much of 461 00:24:57,080 --> 00:25:03,040 Speaker 1: the federal government is redundndencies to keep things from falling apart, 462 00:25:03,160 --> 00:25:08,400 Speaker 1: so you know, you have like Social Security has redundancies. Yeah, 463 00:25:08,520 --> 00:25:12,560 Speaker 1: so that people get their checks, so that Big Balls 464 00:25:12,680 --> 00:25:18,600 Speaker 1: doesn't load everyone's information into an insecure cloud storage, which 465 00:25:19,000 --> 00:25:23,199 Speaker 1: there's a whistleblower report saying he did Big Balls. By 466 00:25:23,240 --> 00:25:30,040 Speaker 1: the way, is our our Duke bernand discuss. 467 00:25:30,160 --> 00:25:31,760 Speaker 3: Yeah, I don't. I mean, like it turns out that 468 00:25:31,840 --> 00:25:35,520 Speaker 3: he's also responsible for the occupation of Washington, d C. Yeah, 469 00:25:35,960 --> 00:25:39,240 Speaker 3: if it turns out that Twittin gains all of America's 470 00:25:39,280 --> 00:25:42,800 Speaker 3: nuclear secrets, that probably turns me that big balls is 471 00:25:42,840 --> 00:25:45,960 Speaker 3: the good And I look forward to the historians of 472 00:25:45,960 --> 00:25:49,320 Speaker 3: the future teaching about big balls to children as this 473 00:25:49,440 --> 00:25:52,400 Speaker 3: is the demand responsible for the fall of the American Empire. 474 00:25:55,600 --> 00:25:57,880 Speaker 3: But I me, I mean, the thing is like this, 475 00:25:58,200 --> 00:26:00,959 Speaker 3: you know, like the bureaucracy and the that this has 476 00:26:00,960 --> 00:26:03,200 Speaker 3: been a dream of the right for a long time. 477 00:26:03,640 --> 00:26:05,520 Speaker 3: And I think this is one reason why Trump is 478 00:26:05,560 --> 00:26:08,240 Speaker 3: still very power of Republican you know, he's he's he's 479 00:26:08,320 --> 00:26:11,359 Speaker 3: doing it. But you know, like we're actually gonna see, like, 480 00:26:11,400 --> 00:26:13,920 Speaker 3: you know, the real world consequences. 481 00:26:13,359 --> 00:26:16,000 Speaker 1: And we're gonna get to find out and whether it's 482 00:26:16,040 --> 00:26:19,760 Speaker 1: a pandemic or a financial crisis, it's coming. 483 00:26:20,720 --> 00:26:23,399 Speaker 3: That's right exactly on that level. Like I actually do 484 00:26:23,640 --> 00:26:28,680 Speaker 3: kind of think, you know, like I would like to see, 485 00:26:28,800 --> 00:26:32,240 Speaker 3: you know, democrats be more like laying out like what 486 00:26:32,359 --> 00:26:35,200 Speaker 3: is that, you know, like an affirmative defense of government 487 00:26:35,520 --> 00:26:38,080 Speaker 3: and all the things that the CDC did, you know, 488 00:26:38,160 --> 00:26:40,000 Speaker 3: like I'm not actually seeing like a lot of defenses 489 00:26:40,000 --> 00:26:42,879 Speaker 3: of doctor FONTI. But you know like that, you know, 490 00:26:43,080 --> 00:26:44,720 Speaker 3: you do that more people died than they should that 491 00:26:44,880 --> 00:26:47,600 Speaker 3: Trump's fut but actually, you know, like like what was 492 00:26:47,640 --> 00:26:50,600 Speaker 3: actually achieved with Operation War Speed was kind of like 493 00:26:50,640 --> 00:26:53,560 Speaker 3: a miracle, and like, you know, like in terms of 494 00:26:53,960 --> 00:26:56,879 Speaker 3: eventually rebuilding, like you actually need people to make the 495 00:26:57,040 --> 00:27:00,600 Speaker 3: actual positive case that you know, government for government for 496 00:27:00,640 --> 00:27:04,119 Speaker 3: a strong state with like you know, like an independent 497 00:27:04,240 --> 00:27:07,720 Speaker 3: breocracy that is made up of experts, you know, who 498 00:27:07,800 --> 00:27:10,119 Speaker 3: have like a level of confidence in their job and 499 00:27:10,160 --> 00:27:13,720 Speaker 3: won't be fired by some idiot whose half of whose 500 00:27:13,760 --> 00:27:16,000 Speaker 3: brain has been by a worm. Yeah. 501 00:27:16,119 --> 00:27:18,639 Speaker 1: I think that's a really good point. And in a 502 00:27:18,720 --> 00:27:21,920 Speaker 1: world with no mainstream media, which is really we don't 503 00:27:21,920 --> 00:27:23,600 Speaker 1: have it. We have the New York Times, that's it. 504 00:27:23,880 --> 00:27:27,639 Speaker 1: In a world where that you have that whole, it 505 00:27:27,800 --> 00:27:33,040 Speaker 1: falls on the opposition party to narrate what's happening. And 506 00:27:33,119 --> 00:27:37,359 Speaker 1: I'm sorry to tell you that unfortunately that opposition party 507 00:27:37,600 --> 00:27:38,400 Speaker 1: are the Democrat. 508 00:27:39,200 --> 00:27:40,080 Speaker 3: It is true. 509 00:27:40,600 --> 00:27:44,000 Speaker 1: Something're gonna, yeah, they're gonna need to narrate what happens. 510 00:27:44,040 --> 00:27:46,760 Speaker 1: And I think one of the things I've been struck by, 511 00:27:46,800 --> 00:27:50,119 Speaker 1: and again you and I have different a little bit 512 00:27:50,119 --> 00:27:53,800 Speaker 1: different ideologies, but You're Canadians, so you have you're a 513 00:27:53,800 --> 00:27:57,159 Speaker 1: little smarter and a little nicer. I'm Americans. I'm a 514 00:27:57,200 --> 00:28:01,040 Speaker 1: little dumber and a little meaner. I do think that, 515 00:28:01,480 --> 00:28:04,640 Speaker 1: you know, the the Democrats who are able to narrate 516 00:28:04,720 --> 00:28:08,239 Speaker 1: this moment. Yeah, there's no other game there, you know, 517 00:28:08,280 --> 00:28:10,840 Speaker 1: there's no Walter Mondel for this moment. 518 00:28:11,720 --> 00:28:14,000 Speaker 3: Yeah yeah, yeah, no, I mean I think that I 519 00:28:14,040 --> 00:28:16,919 Speaker 3: think that's exactly right. Like I actually do think, you know, 520 00:28:17,040 --> 00:28:20,840 Speaker 3: narrating the game. Actually, I think talking about like, you know, 521 00:28:20,880 --> 00:28:23,040 Speaker 3: the long term damages. I think people's senses. I think 522 00:28:23,080 --> 00:28:25,320 Speaker 3: that you know, like you see the sort of you know, 523 00:28:25,359 --> 00:28:28,400 Speaker 3: Bernie and aoc rallies, but you also see the protests, 524 00:28:28,400 --> 00:28:30,600 Speaker 3: like you know, the CDC, there's a lot of people 525 00:28:30,600 --> 00:28:32,959 Speaker 3: that came out, you know, to cheer on the fired 526 00:28:33,000 --> 00:28:36,119 Speaker 3: workers out in Atlanta. I think I think people have 527 00:28:36,280 --> 00:28:39,800 Speaker 3: like a basic level of understanding of like, you know 528 00:28:39,840 --> 00:28:42,360 Speaker 3: that we actually rely on these people. And I think 529 00:28:42,400 --> 00:28:44,920 Speaker 3: that this would actually be like a good message, and 530 00:28:44,960 --> 00:28:47,480 Speaker 3: it's a more in some ways. The one advantage of 531 00:28:47,480 --> 00:28:49,960 Speaker 3: this message is it's a more positive message than just 532 00:28:50,000 --> 00:28:51,360 Speaker 3: talking about how bad Trump. 533 00:28:51,160 --> 00:28:53,880 Speaker 6: Is, because honestly, we've known this for ten years and 534 00:28:53,960 --> 00:28:56,320 Speaker 6: for some of us, like myself, like I maybe Trump 535 00:28:56,320 --> 00:28:58,800 Speaker 6: since the nineteen eighties, like I remember this guy from 536 00:28:58,880 --> 00:29:03,680 Speaker 6: the Central Park so so so so. Yeah, to talk 537 00:29:03,720 --> 00:29:06,680 Speaker 6: about like how terrible Trump is, Yes, we we already 538 00:29:06,680 --> 00:29:09,640 Speaker 6: know that, but like actually to make the case like 539 00:29:09,960 --> 00:29:12,160 Speaker 6: what kind of you know, like America do we want 540 00:29:12,280 --> 00:29:15,000 Speaker 6: at the end of this, and and to actually say that, 541 00:29:15,200 --> 00:29:17,920 Speaker 6: like you know, things like the CDC you'll have to 542 00:29:17,920 --> 00:29:22,080 Speaker 6: do a tremendous benefit to the America, you know, and 543 00:29:22,200 --> 00:29:24,200 Speaker 6: what is being done is sort of like a vandalism 544 00:29:24,520 --> 00:29:27,240 Speaker 6: and a destruction of the sort of you know, the 545 00:29:27,280 --> 00:29:30,479 Speaker 6: real patrimony and the real heritage of America is it's 546 00:29:30,480 --> 00:29:31,200 Speaker 6: it's obscene. 547 00:29:31,600 --> 00:29:34,720 Speaker 1: You can't just be against things, Yeah, yeah, you have 548 00:29:34,760 --> 00:29:36,160 Speaker 1: to be for something. 549 00:29:36,040 --> 00:29:37,840 Speaker 3: That's right now. You have to actually say what these 550 00:29:37,880 --> 00:29:41,320 Speaker 3: institutions do and why we need them. You know. That's 551 00:29:41,320 --> 00:29:43,840 Speaker 3: the kind of missing component. You know, one is hearing 552 00:29:43,960 --> 00:29:46,400 Speaker 3: some of this, but I would actually like to see 553 00:29:46,400 --> 00:29:49,520 Speaker 3: a more force square you know, a defense of all 554 00:29:49,560 --> 00:29:52,040 Speaker 3: these institutions, because I gotta tell you, like, at the 555 00:29:52,120 --> 00:29:53,680 Speaker 3: end of the day, they're gonna have to be revealed 556 00:29:53,720 --> 00:29:55,800 Speaker 3: at some point, like you know, like there's gonna be 557 00:29:55,920 --> 00:29:58,080 Speaker 3: some we don't know what the disasters that's coming is 558 00:29:58,080 --> 00:30:00,560 Speaker 3: going to be, but there will be something really bad 559 00:30:00,640 --> 00:30:03,920 Speaker 3: and at the end of it, like unless you have 560 00:30:03,960 --> 00:30:07,360 Speaker 3: an alternative narrative, what is going to happen? Is that 561 00:30:07,440 --> 00:30:10,040 Speaker 3: like if there's like a financial meltdown or a plague 562 00:30:10,200 --> 00:30:13,560 Speaker 3: trap and those guys will say was DEI or you know, 563 00:30:15,440 --> 00:30:19,200 Speaker 3: you actually have to like actually have something in place 564 00:30:19,360 --> 00:30:22,760 Speaker 3: so that people understand have a mental roadmap of what's 565 00:30:22,760 --> 00:30:25,200 Speaker 3: happening in the world. And I think that's the crucial 566 00:30:25,360 --> 00:30:26,840 Speaker 3: clinical agenda for this moment. 567 00:30:27,280 --> 00:30:29,040 Speaker 1: Jid here will you come back? 568 00:30:29,520 --> 00:30:33,960 Speaker 3: Of course, I love youing on this program. 569 00:30:34,240 --> 00:30:39,400 Speaker 1: Congresswoman Mikey Cheryl represents New Jersey's eleventh district and is 570 00:30:39,400 --> 00:30:44,360 Speaker 1: a candidate for governor in New Jersey. Welcome back to 571 00:30:44,480 --> 00:30:47,560 Speaker 1: Fast Politics, Mikey Shannon. Well, great to be here and 572 00:30:47,600 --> 00:30:50,240 Speaker 1: it's great to be back. Thanks so much. You're running 573 00:30:50,280 --> 00:30:53,120 Speaker 1: for governor of New Jersey. First, I want to know 574 00:30:53,280 --> 00:30:56,400 Speaker 1: how do you make that decision to go from Congress 575 00:30:56,720 --> 00:30:59,200 Speaker 1: because there are two of you in that group where 576 00:30:59,240 --> 00:31:01,600 Speaker 1: you guys went to Congress at the same time, are 577 00:31:01,720 --> 00:31:04,400 Speaker 1: very close and you have a list right the three 578 00:31:04,400 --> 00:31:09,280 Speaker 1: of you you Abigail and Alyssa are all very close 579 00:31:09,760 --> 00:31:12,360 Speaker 1: and you've all made these decisions. So how do you 580 00:31:12,400 --> 00:31:16,240 Speaker 1: make that decision to go from the House to the governorship. 581 00:31:16,600 --> 00:31:20,479 Speaker 7: So, especially in speaking about Alyssa and Abigail and speaking 582 00:31:20,480 --> 00:31:23,120 Speaker 7: to them over the years, I think that when you 583 00:31:23,240 --> 00:31:25,800 Speaker 7: come from national security, when you come from in my 584 00:31:25,880 --> 00:31:28,560 Speaker 7: case the military was an EVY helicopter pilot, it's a 585 00:31:28,800 --> 00:31:32,400 Speaker 7: very proactive place. That is a place where you know, 586 00:31:32,600 --> 00:31:35,520 Speaker 7: the constant mantras are things like lead follower, get out 587 00:31:35,520 --> 00:31:37,440 Speaker 7: of the way. Are the only easy to do was yesterday? 588 00:31:37,440 --> 00:31:40,360 Speaker 7: You know, it's just this constant drum beat of getting 589 00:31:40,360 --> 00:31:43,320 Speaker 7: stuff accomplished. And really it makes a lot of sense. Right, 590 00:31:43,600 --> 00:31:47,760 Speaker 7: decisions have to be made in a crisis, calmly but quickly, 591 00:31:47,920 --> 00:31:50,000 Speaker 7: and then decisions have to be executed. 592 00:31:50,360 --> 00:31:51,640 Speaker 1: Results have to happen. 593 00:31:51,720 --> 00:31:54,120 Speaker 7: There's not a lot of you know what, I'm standing 594 00:31:54,120 --> 00:31:56,120 Speaker 7: on the still getting shot at, and in about ten 595 00:31:56,200 --> 00:31:58,800 Speaker 7: years I'm going to make a decision about what the. 596 00:31:58,760 --> 00:32:02,680 Speaker 1: Best course of Actually, you really have to keep moving. 597 00:32:03,080 --> 00:32:06,800 Speaker 7: And so I do think that there's this drive to serve, 598 00:32:06,880 --> 00:32:10,000 Speaker 7: there's this drive to get results, and there is especially 599 00:32:10,040 --> 00:32:12,480 Speaker 7: in a time like this, which I think certainly I 600 00:32:12,600 --> 00:32:15,760 Speaker 7: and I think both of those women view as a 601 00:32:15,760 --> 00:32:18,920 Speaker 7: time of crisis, there is a real need for leadership, 602 00:32:18,960 --> 00:32:21,480 Speaker 7: so constantly looking at how in these times can I 603 00:32:21,680 --> 00:32:24,280 Speaker 7: best lead, How can I make sure that I'm best 604 00:32:24,320 --> 00:32:27,520 Speaker 7: taking care of the people I'm serving, that I'm getting. 605 00:32:27,280 --> 00:32:27,920 Speaker 3: Results for them. 606 00:32:27,920 --> 00:32:32,120 Speaker 7: And in my case, it's being governor that ability to 607 00:32:32,200 --> 00:32:35,880 Speaker 7: direct the plan and to execute and to get results 608 00:32:35,880 --> 00:32:38,560 Speaker 7: for people in a timely manner, and to sort of 609 00:32:38,600 --> 00:32:42,400 Speaker 7: work with everyone on that agenda and bring everyone together 610 00:32:42,440 --> 00:32:44,840 Speaker 7: on that mission. Because I have to tell you, you know, 611 00:32:44,920 --> 00:32:48,719 Speaker 7: here in New Jersey, we're facing an onslaught of crap 612 00:32:49,000 --> 00:32:51,520 Speaker 7: from the federal government that we're having to deal with 613 00:32:51,800 --> 00:32:54,640 Speaker 7: in a really destructive way, and we want to you know, 614 00:32:54,800 --> 00:32:56,640 Speaker 7: we're ready to do that, and we're ready to stand 615 00:32:56,720 --> 00:32:59,920 Speaker 7: up to that. But we're also facing some problems for 616 00:33:00,160 --> 00:33:02,800 Speaker 7: Trent where we're not moving quickly enough, where we're we've 617 00:33:02,800 --> 00:33:04,920 Speaker 7: got to cut through red tape and permitting issues, where 618 00:33:04,960 --> 00:33:07,800 Speaker 7: it takes too long to guests have accomplished, where costs 619 00:33:07,800 --> 00:33:10,520 Speaker 7: are just going up, up, up every year, and the root. 620 00:33:10,400 --> 00:33:13,240 Speaker 1: Causes of that aren't correctly addressed. So it's this. 621 00:33:13,400 --> 00:33:16,280 Speaker 7: Desire right now to really take on these tough challenges 622 00:33:16,520 --> 00:33:18,000 Speaker 7: and to get to work right away. 623 00:33:18,440 --> 00:33:24,520 Speaker 1: New Jersey had some really interesting elected you, Andrew, No, 624 00:33:24,640 --> 00:33:26,880 Speaker 1: but it's just a real rate. It's like been a 625 00:33:26,920 --> 00:33:30,360 Speaker 1: real sea change. Also because New Jersey used to have 626 00:33:30,400 --> 00:33:32,920 Speaker 1: a certain kind of politician and now you guys have 627 00:33:33,000 --> 00:33:36,040 Speaker 1: a very different kind of politician. You know, Democrats have 628 00:33:36,080 --> 00:33:39,760 Speaker 1: been in power for two terms. So you're running as 629 00:33:39,760 --> 00:33:44,400 Speaker 1: a change candidate, but to succeed another Democrat, how do 630 00:33:44,440 --> 00:33:47,560 Speaker 1: you make the case for that and how do you 631 00:33:47,640 --> 00:33:50,640 Speaker 1: sort of campaign on that but also opposed to that? 632 00:33:50,960 --> 00:33:53,520 Speaker 7: Yeah, so you know, this is I think a really 633 00:33:53,760 --> 00:33:57,080 Speaker 7: critical election here in New Jersey. So we do have 634 00:33:57,160 --> 00:33:58,000 Speaker 7: interesting politics. 635 00:33:58,040 --> 00:33:59,320 Speaker 1: We have tough politics. 636 00:33:59,320 --> 00:34:03,760 Speaker 7: So we have more municipalities here in New Jersey then California, 637 00:34:03,840 --> 00:34:07,320 Speaker 7: so that gives a dense layer of people in elected 638 00:34:07,360 --> 00:34:10,120 Speaker 7: office and everyone, you know, kind of driving to deliver. 639 00:34:10,800 --> 00:34:14,759 Speaker 7: And so if you want to run here, you need 640 00:34:14,800 --> 00:34:16,960 Speaker 7: to be willing to take on tough challenges and you 641 00:34:17,000 --> 00:34:19,160 Speaker 7: need to be a tough fighter because nobody here in 642 00:34:19,239 --> 00:34:22,480 Speaker 7: politics puts up with somebody who's kind of going to 643 00:34:22,480 --> 00:34:24,200 Speaker 7: be a shrinking violot, Right, you need to get in 644 00:34:24,239 --> 00:34:28,000 Speaker 7: there and go. And so with that in mind taking 645 00:34:28,000 --> 00:34:31,239 Speaker 7: on these tough challenges, but also then an understanding here 646 00:34:31,239 --> 00:34:32,719 Speaker 7: in this state that this. 647 00:34:32,800 --> 00:34:33,840 Speaker 1: Is for all the marvels. 648 00:34:34,040 --> 00:34:37,719 Speaker 7: This is the only statewide competitive race in the nation 649 00:34:38,160 --> 00:34:41,400 Speaker 7: the year after Trump got into office and is really 650 00:34:41,400 --> 00:34:45,279 Speaker 7: destroying the economy right now, So we know we have 651 00:34:45,360 --> 00:34:47,680 Speaker 7: a responsibility. I hear it all the time from the 652 00:34:47,719 --> 00:34:50,480 Speaker 7: people of New Jersey, like we are ready to do this. 653 00:34:50,760 --> 00:34:53,720 Speaker 7: And as we're hearing some of the national narratives about 654 00:34:53,880 --> 00:34:57,560 Speaker 7: concerns about engagement and stuff, here in New Jersey, we're 655 00:34:57,600 --> 00:34:59,080 Speaker 7: like on the front line of the fight and we're 656 00:34:59,080 --> 00:35:02,000 Speaker 7: ready to go. So for example, we saw the largest 657 00:35:02,080 --> 00:35:04,960 Speaker 7: turnout in the Democratic primary in the state of New 658 00:35:05,000 --> 00:35:08,760 Speaker 7: Jersey ever in June, so we have mobilized people. We 659 00:35:08,800 --> 00:35:12,120 Speaker 7: remain mobilized as the Democratic Party. We saw the divisions 660 00:35:12,120 --> 00:35:14,640 Speaker 7: in the party last year in New Jersey, we are 661 00:35:14,640 --> 00:35:15,560 Speaker 7: all coming together. 662 00:35:15,840 --> 00:35:17,240 Speaker 1: We had a huge primary. 663 00:35:17,239 --> 00:35:19,839 Speaker 7: We had a six person competitive primary in a way 664 00:35:19,840 --> 00:35:21,160 Speaker 7: that we rarely see in our state. 665 00:35:21,200 --> 00:35:22,040 Speaker 1: For various reasons. 666 00:35:22,200 --> 00:35:25,640 Speaker 7: People were fighting hard. But it's sort of like a 667 00:35:25,680 --> 00:35:27,920 Speaker 7: big Italian family where you kind of come together and 668 00:35:27,960 --> 00:35:29,880 Speaker 7: yell at each other and then at the day you 669 00:35:29,920 --> 00:35:31,719 Speaker 7: love each other and you come together and that's what 670 00:35:31,760 --> 00:35:34,480 Speaker 7: our Democratic Party is doing. So we are ready for 671 00:35:34,560 --> 00:35:37,400 Speaker 7: this fight. I get asked by people from outside New Jersey, 672 00:35:37,440 --> 00:35:39,120 Speaker 7: you know, are you guys going to do this? We 673 00:35:39,160 --> 00:35:41,960 Speaker 7: are going to do everything, you know, within our ability 674 00:35:42,080 --> 00:35:44,520 Speaker 7: to make sure that we are leading the way here 675 00:35:44,520 --> 00:35:47,240 Speaker 7: in New Jersey on how you both fight back against 676 00:35:47,280 --> 00:35:51,560 Speaker 7: the attacks on small businesses, on medicaid, on families, on 677 00:35:51,760 --> 00:35:54,920 Speaker 7: housing costs, on utility costs, and at the same time 678 00:35:55,360 --> 00:35:57,919 Speaker 7: deliver really great government here in the Garden State. 679 00:35:58,480 --> 00:36:02,040 Speaker 1: Trump kind of closed the gas in New Jersey sort 680 00:36:02,040 --> 00:36:05,880 Speaker 1: of shockingly, and I remember actually watching Don Lemon do 681 00:36:06,239 --> 00:36:09,640 Speaker 1: a live from New Jersey and asking people how they 682 00:36:09,640 --> 00:36:11,440 Speaker 1: were going to vote, and I was there were a 683 00:36:11,560 --> 00:36:15,920 Speaker 1: lot of Trump voters, a lot of like low frequency 684 00:36:16,000 --> 00:36:20,600 Speaker 1: voters who maybe didn't necessarily know what he was going 685 00:36:20,680 --> 00:36:23,960 Speaker 1: to do would affect them. You're in the state going around, 686 00:36:24,280 --> 00:36:28,480 Speaker 1: are you seeing any kind of Trump remorse? What is 687 00:36:28,560 --> 00:36:30,640 Speaker 1: it like there on the ground, Because I know they're 688 00:36:30,640 --> 00:36:33,000 Speaker 1: of tariffs, but some things haven't been passed on to 689 00:36:33,080 --> 00:36:34,840 Speaker 1: consumers yet, and I'm just curious. 690 00:36:35,160 --> 00:36:38,080 Speaker 7: So costume and going up on New Jerseys for years now, 691 00:36:38,320 --> 00:36:41,080 Speaker 7: and people are frustrated with Trump, because he promised to 692 00:36:41,080 --> 00:36:42,960 Speaker 7: address those customs only made it worse. 693 00:36:43,320 --> 00:36:47,279 Speaker 1: So sure people are upset, but is there this huge remorse. 694 00:36:47,760 --> 00:36:49,360 Speaker 1: I don't think I'm feeling that. 695 00:36:49,520 --> 00:36:53,000 Speaker 7: But what there is is this desire to find a 696 00:36:53,120 --> 00:36:57,839 Speaker 7: leader who is going to address these issues in a 697 00:36:57,880 --> 00:37:01,319 Speaker 7: thoughtful way. And so I say that because this is 698 00:37:01,360 --> 00:37:04,880 Speaker 7: the least partisan race I've run in. People are exhausted 699 00:37:05,520 --> 00:37:08,080 Speaker 7: by a lot of what's been going on in this country. 700 00:37:08,080 --> 00:37:10,640 Speaker 7: They're exhausted by the vitriol, They're exhausted by the rage. 701 00:37:11,160 --> 00:37:14,600 Speaker 7: Many people who I'd say ten years ago were you know, 702 00:37:14,760 --> 00:37:19,000 Speaker 7: had maybe MSNBC on loop, you know, just watching or 703 00:37:19,880 --> 00:37:22,040 Speaker 7: even Fox News just watching it all the time, or 704 00:37:22,280 --> 00:37:25,040 Speaker 7: saying like, I'm not watching the news right now, I'm 705 00:37:25,440 --> 00:37:28,520 Speaker 7: knocking on the door. I'm talking to my friends and neighbors, 706 00:37:28,560 --> 00:37:31,080 Speaker 7: and people who, you know, even a couple of years 707 00:37:31,120 --> 00:37:33,520 Speaker 7: ago would have said, I've cut off my you know, 708 00:37:33,640 --> 00:37:36,680 Speaker 7: brother in law because he's a Trump voter are now 709 00:37:36,760 --> 00:37:40,399 Speaker 7: sort of like, yeah, you know, he's a Trump voter, 710 00:37:40,520 --> 00:37:42,800 Speaker 7: but you know, we all agree that we got to 711 00:37:42,800 --> 00:37:45,200 Speaker 7: get casts down here, and we just don't talk about 712 00:37:45,200 --> 00:37:47,840 Speaker 7: it right now. I think there is this willingness and 713 00:37:48,000 --> 00:37:51,960 Speaker 7: openness in a very different way to the conversations. 714 00:37:52,040 --> 00:37:54,120 Speaker 1: And so whereas maybe. 715 00:37:54,200 --> 00:37:58,280 Speaker 7: In a twenty eighteen, twenty twenty, twenty twenty two, twenty 716 00:37:58,320 --> 00:38:00,200 Speaker 7: twenty four, as I would be out saying like, look, 717 00:38:00,239 --> 00:38:03,200 Speaker 7: I'm running for governor, people say are you Democrat? And 718 00:38:03,280 --> 00:38:05,240 Speaker 7: if I said yes, they'd be like, I'm a Trump supporter. 719 00:38:05,680 --> 00:38:05,840 Speaker 4: You know. 720 00:38:05,840 --> 00:38:08,360 Speaker 7: It's just a veterans event the other day and everybody, 721 00:38:08,440 --> 00:38:10,400 Speaker 7: and you know, this was in my district, so people 722 00:38:10,440 --> 00:38:13,560 Speaker 7: know who I am. And I was speaking to a 723 00:38:13,600 --> 00:38:15,440 Speaker 7: bunch of people and there's a guy wearing a maga 724 00:38:15,440 --> 00:38:17,439 Speaker 7: haat and I'm just talking to his table and I'm like, hey, 725 00:38:17,480 --> 00:38:19,400 Speaker 7: I just wanted to check in. I'm you know, how 726 00:38:19,440 --> 00:38:21,239 Speaker 7: are you guys doing? And we were just talking and 727 00:38:21,400 --> 00:38:24,080 Speaker 7: you know, nobody said like when I reached out to 728 00:38:24,080 --> 00:38:25,880 Speaker 7: shake their hand or to say hell, nobody was like 729 00:38:26,280 --> 00:38:28,200 Speaker 7: you know, in the past that might have been the case, 730 00:38:28,239 --> 00:38:31,640 Speaker 7: but now I think people are looking to see what 731 00:38:31,680 --> 00:38:33,960 Speaker 7: can you deliver? And I think right now, with my 732 00:38:34,080 --> 00:38:37,440 Speaker 7: histories of veteran that lends credibility to people because I've 733 00:38:37,440 --> 00:38:40,040 Speaker 7: always served this country. This is not new i haven't 734 00:38:40,080 --> 00:38:42,719 Speaker 7: come this way. You know, I'm not doing this for 735 00:38:42,840 --> 00:38:46,799 Speaker 7: self interest. Nobody goes into the military to make gazillions, right, Like, 736 00:38:46,960 --> 00:38:50,239 Speaker 7: this is something that I've long served this country. I'm 737 00:38:50,280 --> 00:38:54,040 Speaker 7: continuing to serve this country. I've got four kids, so 738 00:38:54,200 --> 00:38:56,400 Speaker 7: I cared deeply about the future. 739 00:38:56,080 --> 00:38:59,480 Speaker 1: Of this state. And so people get why I'm at. 740 00:38:59,280 --> 00:39:02,800 Speaker 7: This and so that alone, that level of integrity and 741 00:39:02,840 --> 00:39:06,759 Speaker 7: accountability speaks to people in a way that is, you know, 742 00:39:06,800 --> 00:39:09,520 Speaker 7: people are willing to say, Okay, so what's your plan? 743 00:39:09,800 --> 00:39:10,640 Speaker 1: What are you going to do? 744 00:39:11,320 --> 00:39:14,600 Speaker 7: And as we've spoken to thousands and thousands of people, 745 00:39:15,160 --> 00:39:17,040 Speaker 7: I think we've really honed in on what. 746 00:39:16,960 --> 00:39:17,680 Speaker 1: It's going to take. 747 00:39:17,760 --> 00:39:21,279 Speaker 7: And I would say, you know, people keep acting like 748 00:39:21,320 --> 00:39:23,680 Speaker 7: this is a real mystery. What do we need to do? 749 00:39:24,280 --> 00:39:26,839 Speaker 7: What do democrats need to do? I've never found it 750 00:39:26,960 --> 00:39:30,120 Speaker 7: very hard. I've been running since twenty eighteen. You go around, 751 00:39:30,200 --> 00:39:33,480 Speaker 7: you meet with as many people as humanly possible. You 752 00:39:33,560 --> 00:39:35,719 Speaker 7: hear about what those things are that are keeping them 753 00:39:35,760 --> 00:39:38,400 Speaker 7: up at night, and then you say, okay, would this 754 00:39:38,480 --> 00:39:40,640 Speaker 7: work if I did this, if I was able to 755 00:39:40,680 --> 00:39:42,360 Speaker 7: do this for you, would that make a difference in 756 00:39:42,400 --> 00:39:42,719 Speaker 7: your life? 757 00:39:42,760 --> 00:39:44,439 Speaker 1: Would that help you sleep at night? 758 00:39:44,719 --> 00:39:47,520 Speaker 7: And you know, you work until you find those answers, 759 00:39:47,680 --> 00:39:51,080 Speaker 7: and then you just go and speak to as many 760 00:39:51,080 --> 00:39:53,200 Speaker 7: more people as possible as you can to bring them 761 00:39:53,239 --> 00:39:55,759 Speaker 7: on board, and then you start to execute the minute 762 00:39:55,760 --> 00:39:56,640 Speaker 7: you get in office. 763 00:39:56,680 --> 00:39:58,960 Speaker 1: And I got to tell you, I think that's what 764 00:39:59,000 --> 00:39:59,480 Speaker 1: people want. 765 00:39:59,480 --> 00:40:01,480 Speaker 7: And they're just too many people in office now who 766 00:40:01,520 --> 00:40:03,400 Speaker 7: will say whatever you want to hear. And then they 767 00:40:03,440 --> 00:40:06,120 Speaker 7: get in office and they completely ignore you. And then 768 00:40:06,160 --> 00:40:08,520 Speaker 7: four years later they show up at your church and 769 00:40:08,560 --> 00:40:09,280 Speaker 7: they're there again. 770 00:40:09,680 --> 00:40:10,440 Speaker 1: Ay me again. 771 00:40:10,600 --> 00:40:13,400 Speaker 7: That is the exact opposite of how I've always run 772 00:40:13,480 --> 00:40:15,880 Speaker 7: and how I've always delivered. And I have to tell you, 773 00:40:15,920 --> 00:40:17,799 Speaker 7: I think right now people just want to see who's 774 00:40:17,840 --> 00:40:20,440 Speaker 7: gonna really have me in mind, who's going to make 775 00:40:20,480 --> 00:40:21,520 Speaker 7: sure my kids are okay? 776 00:40:21,680 --> 00:40:23,480 Speaker 1: And they're not seeing a lot of that. You have 777 00:40:23,560 --> 00:40:27,640 Speaker 1: a sort of bold plan to make energy prices cheaper, 778 00:40:28,200 --> 00:40:29,960 Speaker 1: Explain to us what that would be. 779 00:40:30,320 --> 00:40:32,759 Speaker 7: So right now, we have an energy crisis in New 780 00:40:32,840 --> 00:40:35,160 Speaker 7: Jersey in the whole region for a lot of reasons, 781 00:40:35,360 --> 00:40:37,400 Speaker 7: and I would say some of it's our grid operator 782 00:40:37,440 --> 00:40:42,239 Speaker 7: PJAM And so we have a bipartisan group of governors 783 00:40:42,360 --> 00:40:45,320 Speaker 7: in the PGM region who are really holding them to account, 784 00:40:45,360 --> 00:40:47,400 Speaker 7: who are coming out I mean they have just taken 785 00:40:47,440 --> 00:40:50,000 Speaker 7: six years to get new power generation into the grid. 786 00:40:50,040 --> 00:40:53,279 Speaker 7: They've got huge amount of people in the queue. They've 787 00:40:53,400 --> 00:40:56,160 Speaker 7: screwed up the market, so prices have gone up exponentially. 788 00:40:56,600 --> 00:40:59,719 Speaker 7: We have the BPU, the Board of Public Utilities here 789 00:40:59,760 --> 00:41:01,840 Speaker 7: in New Jersey, who has seen this and kick the 790 00:41:01,840 --> 00:41:03,880 Speaker 7: can down the road. We've had the administration as and 791 00:41:03,880 --> 00:41:06,719 Speaker 7: appropriately addressed it. We have Trump who's now driving up 792 00:41:07,239 --> 00:41:09,800 Speaker 7: with a one big, beautiful bill energy costs by hundreds 793 00:41:09,840 --> 00:41:11,960 Speaker 7: of dollars. And so at the end of the day, 794 00:41:12,000 --> 00:41:14,800 Speaker 7: we have this crisis. And then I'm running against a 795 00:41:14,840 --> 00:41:18,839 Speaker 7: guy who's basically said that PJM, the grid operator who 796 00:41:19,120 --> 00:41:22,759 Speaker 7: stretches from here to Illinois at this point and is 797 00:41:22,920 --> 00:41:26,799 Speaker 7: in multiple states, is just some small nonprofit because he 798 00:41:26,840 --> 00:41:29,920 Speaker 7: wants to discount it and says that people have to 799 00:41:30,000 --> 00:41:33,080 Speaker 7: suffer a little pain with Trump's policies. Well, people are 800 00:41:33,120 --> 00:41:35,920 Speaker 7: suffering a lot of pain, and that's not okay. And 801 00:41:35,960 --> 00:41:39,800 Speaker 7: so instead of allowing all these alphabet soup of agencies 802 00:41:40,120 --> 00:41:44,480 Speaker 7: to put the costs on the back of families because 803 00:41:44,480 --> 00:41:46,960 Speaker 7: they've screwed this up, instead, I'm coming in and I'm 804 00:41:47,000 --> 00:41:49,920 Speaker 7: saying no. On day one, I'm declaring an emergency on 805 00:41:50,000 --> 00:41:53,080 Speaker 7: utility costs and freezing rate hikes, because then we are 806 00:41:53,120 --> 00:41:56,360 Speaker 7: going to push power into the grid. We're going to 807 00:41:56,360 --> 00:42:00,000 Speaker 7: get solar in battery storage almost immediately. We're going to 808 00:42:00,080 --> 00:42:02,240 Speaker 7: had through red tape and permitting so we can continue 809 00:42:02,239 --> 00:42:04,959 Speaker 7: to do that and then grow out the power plan 810 00:42:05,080 --> 00:42:08,600 Speaker 7: by modernizing our natural GaAs infrastructure and then looking to 811 00:42:08,680 --> 00:42:11,799 Speaker 7: nuclear in the future, because right now costs have just 812 00:42:11,840 --> 00:42:16,040 Speaker 7: gone up without a really legitimate strategy going forward with 813 00:42:16,120 --> 00:42:19,920 Speaker 7: how we're going to really push power into our state 814 00:42:20,239 --> 00:42:21,399 Speaker 7: and drive cost down. 815 00:42:21,640 --> 00:42:24,399 Speaker 1: It's interesting to me that this is this new trumpy thing. 816 00:42:24,440 --> 00:42:26,839 Speaker 1: You have to have a little pain, But I mean 817 00:42:26,920 --> 00:42:29,480 Speaker 1: it's like with the two dollars instead of five dolls 818 00:42:29,760 --> 00:42:32,600 Speaker 1: there's no world in which they can bring back manufacturing 819 00:42:32,800 --> 00:42:35,320 Speaker 1: with the way they're doing the tariffs. This little pain 820 00:42:35,480 --> 00:42:39,080 Speaker 1: isn't going to like putting the grid on solar. It's 821 00:42:39,239 --> 00:42:42,879 Speaker 1: just going to like fuck ups and corruption. Right Well, 822 00:42:42,880 --> 00:42:45,560 Speaker 1: that's exactly right. The little pain is to enrich Trump 823 00:42:45,640 --> 00:42:48,240 Speaker 1: and his cronies. I mean, we've seen the biggest transfer 824 00:42:48,400 --> 00:42:50,800 Speaker 1: of wealth in the history of this nation since FDR 825 00:42:51,320 --> 00:42:54,040 Speaker 1: in the One Big Beautiful Bill, and so it's a 826 00:42:54,160 --> 00:42:57,040 Speaker 1: lot of working people, a lot of four people taking 827 00:42:57,080 --> 00:42:59,480 Speaker 1: on i'd say more than a little pain so that 828 00:42:59,480 --> 00:43:03,000 Speaker 1: the rich can get richer. How is this actually addressing 829 00:43:03,280 --> 00:43:06,560 Speaker 1: the deficit which they promised to How is this actually 830 00:43:06,560 --> 00:43:09,759 Speaker 1: getting costs down for people which they promised to do. Instead, 831 00:43:10,120 --> 00:43:12,120 Speaker 1: they're getting in these trade wars with Canada. 832 00:43:12,680 --> 00:43:16,880 Speaker 7: So now small businesses who have North American supply chains 833 00:43:17,239 --> 00:43:20,800 Speaker 7: are going out of business. Big businesses are not employing people, 834 00:43:20,800 --> 00:43:22,440 Speaker 7: and you're seeing that in the jobs numbers, or you 835 00:43:22,480 --> 00:43:25,400 Speaker 7: were until Trump fired the people recording it. So this 836 00:43:25,600 --> 00:43:29,000 Speaker 7: idea that somehow we're all in this together and we're 837 00:43:29,000 --> 00:43:31,080 Speaker 7: all going to take on this pain for a better future. No, 838 00:43:31,480 --> 00:43:34,279 Speaker 7: we're all taking on pain so rich people can have 839 00:43:34,320 --> 00:43:36,800 Speaker 7: a better future and everyone else can just have crups 840 00:43:36,840 --> 00:43:37,400 Speaker 7: at the table. 841 00:43:37,760 --> 00:43:39,400 Speaker 1: And that's again unacceptable. 842 00:43:39,440 --> 00:43:42,120 Speaker 7: Time running for governor because in New Jersey we're going 843 00:43:42,160 --> 00:43:45,640 Speaker 7: to chart a different path forward, because again, if we 844 00:43:45,680 --> 00:43:47,920 Speaker 7: are going to build out a middle class, if we're 845 00:43:47,920 --> 00:43:50,279 Speaker 7: going to keep a strong, resilient middle class in our state, 846 00:43:50,560 --> 00:43:52,320 Speaker 7: we need strong leadership in the state. 847 00:43:52,640 --> 00:43:55,319 Speaker 1: And again that's why I'm running for governor. Trump has 848 00:43:55,400 --> 00:43:58,319 Speaker 1: been taking aim at different states. We see that the 849 00:43:58,400 --> 00:44:01,480 Speaker 1: states with the governors who push back artists ultimately sort 850 00:44:01,520 --> 00:44:04,000 Speaker 1: of save themselves in a weird way. I feel like 851 00:44:04,120 --> 00:44:06,640 Speaker 1: we saw this now Trump, you know, saying he's going 852 00:44:06,680 --> 00:44:10,520 Speaker 1: to go into Chicago, and this sort of quick pushback 853 00:44:10,560 --> 00:44:14,720 Speaker 1: from PRITZKERGH has definitely been kind of the move you're 854 00:44:14,960 --> 00:44:17,960 Speaker 1: you know, hopefully going to be a governor. Who are 855 00:44:17,960 --> 00:44:21,440 Speaker 1: you sort of studying? What are you learning from watching 856 00:44:21,880 --> 00:44:23,000 Speaker 1: what's happening right now? 857 00:44:23,239 --> 00:44:26,440 Speaker 7: I am looking at every possible way that as governor, 858 00:44:26,600 --> 00:44:30,240 Speaker 7: I am going to be able to stand against what's 859 00:44:30,239 --> 00:44:33,440 Speaker 7: going on in Washington and Donald Trump and stand for 860 00:44:33,680 --> 00:44:36,040 Speaker 7: the people of New Jersey and get better results for them. 861 00:44:36,239 --> 00:44:40,040 Speaker 7: It's everyone. It's the strong pushback. It's how you have 862 00:44:40,120 --> 00:44:44,440 Speaker 7: a strong attorney general. It's how you utilize law enforcement 863 00:44:44,480 --> 00:44:46,880 Speaker 7: in your state to keep people safe. It's how you 864 00:44:47,080 --> 00:44:50,600 Speaker 7: ensure that you are making sure your state programs are 865 00:44:50,680 --> 00:44:53,560 Speaker 7: running as efficiently as possible, so you can show people 866 00:44:53,600 --> 00:44:57,520 Speaker 7: effective government in contrast to what's going on. So you know, 867 00:44:57,600 --> 00:45:02,560 Speaker 7: whether it's Josh Shapiro and Wes Moore in handling a 868 00:45:02,640 --> 00:45:05,680 Speaker 7: crisis like a road collapse or bridge collapse, or whether 869 00:45:05,760 --> 00:45:10,280 Speaker 7: it's Gavin Newsom and effective communication and pushing back against Strumberg. 870 00:45:10,320 --> 00:45:14,120 Speaker 7: As you said, whether it's Pritzker or whether it's Gretchen Whitmer, 871 00:45:14,440 --> 00:45:17,280 Speaker 7: just you keeping it brass tax fixing the damn roads 872 00:45:17,600 --> 00:45:20,439 Speaker 7: again and again and again. It's really all of these 873 00:45:20,480 --> 00:45:25,080 Speaker 7: strong democratic governors that are the most effective people in 874 00:45:25,120 --> 00:45:29,239 Speaker 7: our party at pushing back against this. So that's why, 875 00:45:29,440 --> 00:45:34,640 Speaker 7: again I do think strong effective governors are the ones 876 00:45:34,800 --> 00:45:36,480 Speaker 7: that are going to be able to do this. And 877 00:45:36,520 --> 00:45:39,800 Speaker 7: that's why I think this race right here in twenty 878 00:45:39,880 --> 00:45:42,600 Speaker 7: twenty five is so seminal, because this is the one 879 00:45:43,200 --> 00:45:47,520 Speaker 7: statewide competitive race where we can really show what strong 880 00:45:47,600 --> 00:45:50,759 Speaker 7: democratic leadership and a plan looks like and grow that 881 00:45:50,880 --> 00:45:52,920 Speaker 7: out and set the table then for the future. 882 00:45:53,280 --> 00:45:56,080 Speaker 1: Yeah. True. So I read this piece in The Times 883 00:45:56,160 --> 00:46:02,120 Speaker 1: today about you and ab Gail and Alyssa about your 884 00:46:02,320 --> 00:46:06,400 Speaker 1: national security background, and how basically I thought it was 885 00:46:06,480 --> 00:46:11,319 Speaker 1: interesting and also like slightly disturbing that it sort of 886 00:46:11,480 --> 00:46:15,800 Speaker 1: neutralizes your womanness, right, that it gives voters a little 887 00:46:15,800 --> 00:46:20,440 Speaker 1: bit of confidence that even though despite your being a woman, 888 00:46:20,920 --> 00:46:23,400 Speaker 1: you know, I mean I say this with air quotes, 889 00:46:23,440 --> 00:46:27,120 Speaker 1: but also with abject horror. I wonder if you could 890 00:46:27,200 --> 00:46:29,640 Speaker 1: talk us through that. I mean, look, the reality is 891 00:46:29,840 --> 00:46:33,080 Speaker 1: people just need to win. In my mind, it doesn't matter, 892 00:46:33,280 --> 00:46:35,560 Speaker 1: you know, what the permission structure looks like. There just 893 00:46:35,600 --> 00:46:37,640 Speaker 1: has to be one. But I'm just curious if you 894 00:46:37,640 --> 00:46:38,560 Speaker 1: could talk about that. 895 00:46:39,160 --> 00:46:43,680 Speaker 7: Yeah, So I've always worked in male dominated spaces from 896 00:46:43,719 --> 00:46:46,160 Speaker 7: the time I was a teenager, right, That's when I 897 00:46:46,280 --> 00:46:48,279 Speaker 7: first went to the Naval Academy, which at that time 898 00:46:48,360 --> 00:46:51,680 Speaker 7: was under ten percent women. And then I went into 899 00:46:51,840 --> 00:46:56,000 Speaker 7: the military, and then I went into big corporate law firm, 900 00:46:56,160 --> 00:46:58,160 Speaker 7: and you know, and then I went into eventually went 901 00:46:58,200 --> 00:47:03,439 Speaker 7: into Congress. And I will say that an understanding of that, 902 00:47:03,719 --> 00:47:07,880 Speaker 7: you know, being comfortable in spaces like that and showing 903 00:47:08,000 --> 00:47:11,960 Speaker 7: success there, I think speaks to certain groups of people. 904 00:47:12,200 --> 00:47:16,120 Speaker 7: I would say as important or in some cases in 905 00:47:16,239 --> 00:47:17,680 Speaker 7: running I think for governor. 906 00:47:18,160 --> 00:47:19,640 Speaker 1: Even more important. 907 00:47:19,239 --> 00:47:21,680 Speaker 7: To people is the fact that I'm a mom, because 908 00:47:21,719 --> 00:47:24,200 Speaker 7: I think that speaks to a lot of people about 909 00:47:24,400 --> 00:47:27,080 Speaker 7: who I fight for and why I'm doing it. So 910 00:47:27,200 --> 00:47:29,240 Speaker 7: the fact that I have four teenagers, I think people 911 00:47:29,239 --> 00:47:30,440 Speaker 7: feel a lot of sympathy for me. 912 00:47:30,560 --> 00:47:31,280 Speaker 3: So that's nice. 913 00:47:32,600 --> 00:47:33,200 Speaker 1: I only have. 914 00:47:33,239 --> 00:47:37,279 Speaker 7: Three, so you get it regularly like oh, okay, we 915 00:47:37,360 --> 00:47:39,799 Speaker 7: got to help this lady. But they also get that, 916 00:47:39,880 --> 00:47:44,200 Speaker 7: like my focus is very much on not only the 917 00:47:44,239 --> 00:47:47,160 Speaker 7: opportunities and the governance that we need today. 918 00:47:47,480 --> 00:47:48,400 Speaker 1: But I am looking. 919 00:47:48,760 --> 00:47:51,160 Speaker 7: I've got the long play in mind, right because I 920 00:47:51,239 --> 00:47:53,040 Speaker 7: want to make sure that New Jersey is a place 921 00:47:53,040 --> 00:47:55,359 Speaker 7: where my kids can live, where my grandkids can live, 922 00:47:55,440 --> 00:47:56,359 Speaker 7: so that I can see them. 923 00:47:56,520 --> 00:47:59,240 Speaker 1: You know, I'm a grandma. I mean all the stuff. 924 00:47:59,480 --> 00:48:02,400 Speaker 7: People that New Jersey is a very you know, family 925 00:48:02,440 --> 00:48:04,799 Speaker 7: is really important here where are historically one of the 926 00:48:04,800 --> 00:48:09,520 Speaker 7: states with the most intergenerational family members because people stay close. 927 00:48:09,640 --> 00:48:12,520 Speaker 7: We care deeply about that. So being a mom is 928 00:48:12,560 --> 00:48:15,560 Speaker 7: actually really important. But I think having all of these 929 00:48:15,560 --> 00:48:21,080 Speaker 7: different aspects are always helpful in getting that you're really tough, 930 00:48:21,600 --> 00:48:23,960 Speaker 7: but you also really get it, you get where I'm 931 00:48:23,960 --> 00:48:26,799 Speaker 7: coming from. In fact, being a helicopter pilot, that part 932 00:48:26,800 --> 00:48:29,239 Speaker 7: can be off putting to some people because they're like, oh, 933 00:48:29,239 --> 00:48:31,319 Speaker 7: she might not get me. But then being a mom, 934 00:48:31,360 --> 00:48:33,440 Speaker 7: they're like, oh, yeah, she gets me. It's kind of 935 00:48:33,520 --> 00:48:36,120 Speaker 7: all the things you're trying to communicate. When I run, 936 00:48:36,160 --> 00:48:38,319 Speaker 7: I build out really broad coalitions to people. If we're 937 00:48:38,320 --> 00:48:40,080 Speaker 7: going to get done here in New Jersey, what I 938 00:48:40,080 --> 00:48:41,799 Speaker 7: want to get done, if we're going to make life 939 00:48:41,800 --> 00:48:42,759 Speaker 7: better for families. 940 00:48:42,880 --> 00:48:45,120 Speaker 1: I'm not just trying to get you know, a few 941 00:48:45,200 --> 00:48:47,399 Speaker 1: niche people. I'm trying to get the state on. 942 00:48:47,400 --> 00:48:49,839 Speaker 7: Board with the mission of how we're going to come 943 00:48:49,840 --> 00:48:51,960 Speaker 7: together as a community to take care of each other 944 00:48:52,000 --> 00:48:54,720 Speaker 7: and get a better future for everyone. And right now 945 00:48:54,760 --> 00:48:59,319 Speaker 7: we are being told from Trump's administration that you know, 946 00:48:59,360 --> 00:49:02,239 Speaker 7: as every man of self and that you know, this 947 00:49:02,280 --> 00:49:05,719 Speaker 7: is this environment of scarcity in the richest country in 948 00:49:05,719 --> 00:49:07,719 Speaker 7: the world, and so everybody's got to get what they 949 00:49:07,719 --> 00:49:11,759 Speaker 7: can get, and other groups and other people should be 950 00:49:11,760 --> 00:49:14,440 Speaker 7: pushed to the side because they're a threat to your success. 951 00:49:14,600 --> 00:49:17,120 Speaker 7: In New Jersey, that is not the case. I mean, 952 00:49:17,160 --> 00:49:20,840 Speaker 7: we are a state where we thrive because we have 953 00:49:20,920 --> 00:49:23,359 Speaker 7: so much innovation. We have so many different people coming 954 00:49:23,360 --> 00:49:26,080 Speaker 7: to the table. We have schools that help so many 955 00:49:26,160 --> 00:49:29,120 Speaker 7: different people succeed that that lifts us all up. We're 956 00:49:29,160 --> 00:49:31,120 Speaker 7: sort of a when we all do better, we all 957 00:49:31,160 --> 00:49:34,200 Speaker 7: do better state. That's what we're driving in right now. 958 00:49:34,640 --> 00:49:38,160 Speaker 1: Mikey, Cheryl, thank you so much for joining. 959 00:49:38,200 --> 00:49:40,680 Speaker 7: Well, as always, thank you so much for having me. 960 00:49:40,920 --> 00:49:41,839 Speaker 1: We could use the help. 961 00:49:42,120 --> 00:49:44,719 Speaker 7: Like I said, we are the competitive race in the 962 00:49:44,760 --> 00:49:46,520 Speaker 7: cycle now. So if you want a phone bank or 963 00:49:46,520 --> 00:49:49,080 Speaker 7: text bank, or donate or comeknock doors with us. 964 00:49:49,080 --> 00:49:50,440 Speaker 1: Please go to mikey Cheryl. 965 00:49:50,280 --> 00:49:54,000 Speaker 7: Dot com slash volunt here because we would love the support. 966 00:49:55,880 --> 00:50:00,400 Speaker 1: We're all so far Jesse Kanna, my. 967 00:50:00,560 --> 00:50:03,799 Speaker 2: Junk fast Tulci Gabbert. Every time I think of her, 968 00:50:03,840 --> 00:50:05,759 Speaker 2: I think of when mister Trump said, they don't bring 969 00:50:05,840 --> 00:50:07,640 Speaker 2: us their best. That's all I can think of. 970 00:50:07,760 --> 00:50:11,799 Speaker 1: Is her? Not all two colored hair? Not all two 971 00:50:11,920 --> 00:50:12,600 Speaker 1: colored hair. 972 00:50:13,680 --> 00:50:15,880 Speaker 2: I'm so sorry that you have a brand to go 973 00:50:15,880 --> 00:50:16,799 Speaker 2: over a lap with her. 974 00:50:17,120 --> 00:50:19,600 Speaker 1: I have a branding overlap with her. Look, the hair 975 00:50:19,719 --> 00:50:23,720 Speaker 1: is good, everything else is bad. She is the Director 976 00:50:23,760 --> 00:50:29,840 Speaker 1: of National Intelligence, or in this case, Director of National stupid. 977 00:50:29,560 --> 00:50:32,520 Speaker 2: The ironically named Director of National Intelligence. 978 00:50:32,960 --> 00:50:35,200 Speaker 1: So the Wall Street General reports that, I mean, this 979 00:50:35,360 --> 00:50:40,399 Speaker 1: is so insane. She revealed the identity of an undercover officer. 980 00:50:40,760 --> 00:50:44,920 Speaker 1: She made a stupid mistake. A smart director of National 981 00:50:44,960 --> 00:50:48,400 Speaker 1: Intelligence would have consulted with the CIA. He put the 982 00:50:48,520 --> 00:50:53,680 Speaker 1: CIA cover procedures at risk, could put relationships with foreign governments. 983 00:50:53,719 --> 00:50:55,719 Speaker 1: I don't think we have anymore. That was a risk. 984 00:50:55,960 --> 00:50:59,960 Speaker 1: She has been in this month long campaign to make 985 00:51:00,080 --> 00:51:03,520 Speaker 1: Trump love her again. The most important point of this 986 00:51:03,760 --> 00:51:11,320 Speaker 1: very very, very very stupid story is that they're never ever, ever, ever, 987 00:51:11,800 --> 00:51:17,879 Speaker 1: ever ever playing three dimensional chess. That's it for this 988 00:51:18,000 --> 00:51:24,400 Speaker 1: episode of Fast Politics. Tune in every Monday, Wednesday, Thursday, 989 00:51:24,600 --> 00:51:28,520 Speaker 1: and Saturday to hear the best minds and politics make 990 00:51:28,640 --> 00:51:32,640 Speaker 1: sense of all this chaos. If you enjoy this podcast, 991 00:51:33,000 --> 00:51:36,400 Speaker 1: please send it to a friend and keep the conversation going. 992 00:51:36,880 --> 00:51:38,000 Speaker 1: Thanks for listening.