1 00:00:04,120 --> 00:00:06,480 Speaker 1: Hello there, Happy Wednesday. Welcome to another episode of the 2 00:00:06,559 --> 00:00:08,520 Speaker 1: Chuck Podcast. The best thing that's happened in the last 3 00:00:08,520 --> 00:00:10,239 Speaker 1: twenty four hours since the University of Miami hasn't lost 4 00:00:10,280 --> 00:00:12,880 Speaker 1: a football game. Yes, I know it's the weekday, but 5 00:00:13,039 --> 00:00:17,200 Speaker 1: you know these are baby steps in my coping mechanism 6 00:00:17,680 --> 00:00:20,239 Speaker 1: when it comes when it comes to that got to 7 00:00:20,280 --> 00:00:24,319 Speaker 1: load it up show today got a big takeout on 8 00:00:24,440 --> 00:00:29,080 Speaker 1: the issue of AI as a political issue. It's the 9 00:00:29,080 --> 00:00:31,200 Speaker 1: theme of my substack. For those of you who read 10 00:00:31,240 --> 00:00:33,120 Speaker 1: my substack, you know the direction I'm going to go 11 00:00:33,200 --> 00:00:38,160 Speaker 1: in my interview is with somebody who's hoping to shake 12 00:00:38,240 --> 00:00:44,200 Speaker 1: up or maybe go back in time to how Democrats 13 00:00:44,200 --> 00:00:49,440 Speaker 1: have successfully launched presidential candidates in the past and see 14 00:00:49,479 --> 00:00:53,280 Speaker 1: if this person can talk the DNC back into starting 15 00:00:53,320 --> 00:00:56,200 Speaker 1: with Iowa. If the Democratic Party wants to ever win 16 00:00:56,360 --> 00:00:59,400 Speaker 1: rural voters again, how are they going to do that? 17 00:00:59,680 --> 00:01:02,440 Speaker 1: Is art in a place like Iowa actually the best 18 00:01:02,440 --> 00:01:04,320 Speaker 1: place to go since it served as a pretty good 19 00:01:04,360 --> 00:01:09,959 Speaker 1: launching pad for Barack Obama's presidency. So we'll talk to 20 00:01:10,000 --> 00:01:12,520 Speaker 1: the state Democratic Party chair about that. An apart branding 21 00:01:12,560 --> 00:01:15,680 Speaker 1: issues in general, especially as you see more and more 22 00:01:15,720 --> 00:01:18,440 Speaker 1: Democratic groups open to the idea of hey, don't run 23 00:01:18,440 --> 00:01:20,200 Speaker 1: as a Democrat. If the brand is really bad in 24 00:01:20,240 --> 00:01:23,240 Speaker 1: your state, run is another entity. This goes into the 25 00:01:23,360 --> 00:01:26,800 Speaker 1: longer conversation which we've been having here for quite some time, 26 00:01:26,840 --> 00:01:29,800 Speaker 1: and how does the Democrats rebrand themselves? Where should their 27 00:01:29,800 --> 00:01:33,600 Speaker 1: emphasis be? You know, how much do you placate the base, 28 00:01:34,000 --> 00:01:38,399 Speaker 1: how much do you try to expand the tent. I 29 00:01:38,400 --> 00:01:41,720 Speaker 1: will tell you this. What a political party does with 30 00:01:41,800 --> 00:01:44,760 Speaker 1: its presidential calendar will tell you whether they're looking to 31 00:01:44,800 --> 00:01:49,520 Speaker 1: go broad or to go narrow. And ultimately, I think 32 00:01:50,160 --> 00:01:55,440 Speaker 1: what you know, how many frankly red states are included 33 00:01:55,600 --> 00:01:59,720 Speaker 1: in the beginning portion of this how many rural areas 34 00:01:59,760 --> 00:02:02,360 Speaker 1: are included in the beginning portion of their presidential calendar. 35 00:02:02,600 --> 00:02:04,880 Speaker 1: That will tell you certainly where the leadership of the 36 00:02:04,880 --> 00:02:10,840 Speaker 1: party wants to see the presidential campaign go. And if 37 00:02:10,880 --> 00:02:13,400 Speaker 1: places like Iowa, Kansas, and Nebraska are not part of 38 00:02:13,440 --> 00:02:17,400 Speaker 1: the first in the nation process, I will just tell 39 00:02:17,400 --> 00:02:19,680 Speaker 1: you I think it's a gigantic mistake by the Democrats 40 00:02:19,720 --> 00:02:23,679 Speaker 1: and it will only narrow their options going down the road. 41 00:02:24,120 --> 00:02:26,239 Speaker 1: They have got to figure out how to appeal to there, 42 00:02:26,680 --> 00:02:30,040 Speaker 1: because guess what voters in those states. I didn't just 43 00:02:30,240 --> 00:02:33,280 Speaker 1: randomly single those three states out. These are farm states, 44 00:02:33,800 --> 00:02:37,400 Speaker 1: These are some of them big when it comes to 45 00:02:37,880 --> 00:02:40,600 Speaker 1: chicken and beef process. And why do I bring all 46 00:02:40,600 --> 00:02:43,720 Speaker 1: that up, Because I do think, you know, there's a 47 00:02:43,720 --> 00:02:47,720 Speaker 1: lot of Look, the Trump presidency introduces all sorts of 48 00:02:47,760 --> 00:02:52,920 Speaker 1: ways to deal with him and to combat him. You 49 00:02:52,960 --> 00:02:55,000 Speaker 1: can try to treat him as a conventional candidate. You 50 00:02:55,000 --> 00:02:57,560 Speaker 1: can try to treat him as an outlier president, you 51 00:02:57,560 --> 00:03:00,240 Speaker 1: can try to treat him as an existential threat. There 52 00:03:00,280 --> 00:03:03,680 Speaker 1: have been various ways that different entities have tried to 53 00:03:03,680 --> 00:03:07,280 Speaker 1: deal with the shakeup that Donald Trump has brought to 54 00:03:07,320 --> 00:03:13,519 Speaker 1: American politics. Well, what's funny about all of the shaking 55 00:03:13,960 --> 00:03:17,000 Speaker 1: up that he does, all of the chaos that he brings. 56 00:03:17,520 --> 00:03:21,359 Speaker 1: He's actually falling into a trap that many a president 57 00:03:21,360 --> 00:03:26,400 Speaker 1: has fallen into, which almost is universally led to bad 58 00:03:26,480 --> 00:03:29,239 Speaker 1: outcomes for them in domestic elections. And what I mean 59 00:03:29,320 --> 00:03:35,440 Speaker 1: is being too consumed with international and to think that 60 00:03:35,680 --> 00:03:39,160 Speaker 1: Donald Trump, the guy who ran on an American first platform, 61 00:03:39,200 --> 00:03:41,960 Speaker 1: the guy who does not believe in multilateral treaties, the 62 00:03:42,040 --> 00:03:46,000 Speaker 1: guy who does not believe in collective security, is somehow 63 00:03:46,080 --> 00:03:50,200 Speaker 1: finding himself so consumed with his own legacy building, and 64 00:03:50,720 --> 00:03:53,760 Speaker 1: most presidents get consumed with that, and the only place 65 00:03:53,800 --> 00:03:57,680 Speaker 1: to establish the legacy is in foreign affairs. That he's 66 00:03:57,720 --> 00:04:02,680 Speaker 1: taking his eye off the ball domestic promises he's made right. 67 00:04:03,600 --> 00:04:06,520 Speaker 1: The Argentinian example is a perfect case. So here he 68 00:04:06,640 --> 00:04:11,960 Speaker 1: is trying desperately to help an ideological ally in Javier Malayal, 69 00:04:12,840 --> 00:04:18,040 Speaker 1: and he desperately needs his economy essentially bailed out. So 70 00:04:18,160 --> 00:04:20,200 Speaker 1: the United States has agreed to do it. And then 71 00:04:20,279 --> 00:04:22,800 Speaker 1: on top of that, Donald Trump, out of nowhere says, hey, 72 00:04:23,160 --> 00:04:29,159 Speaker 1: we'll buy Argentinian beef at a time when everything in 73 00:04:29,240 --> 00:04:33,520 Speaker 1: our food industry has essentially been hampered by Donald Trump's 74 00:04:33,520 --> 00:04:39,119 Speaker 1: policies between his immigration deportations which has made hiring people 75 00:04:39,120 --> 00:04:42,920 Speaker 1: to work and meat processing plants almost impossible just ask folks, 76 00:04:42,920 --> 00:04:47,599 Speaker 1: and chicken processing plants, places like Arkansas, beef processing plants 77 00:04:47,600 --> 00:04:51,960 Speaker 1: and places like Nebraska and pork processing plants and places 78 00:04:51,960 --> 00:04:54,680 Speaker 1: like Nebraska and Iowa, things like that. You have that 79 00:04:54,800 --> 00:04:57,800 Speaker 1: issue plus the tariffs, right, So it's been a double way. 80 00:04:57,880 --> 00:05:02,440 Speaker 1: May imagine being a cattle rancho wall so grows soybeans man, 81 00:05:02,560 --> 00:05:04,600 Speaker 1: and you voted for Donald Trump thinking that he was 82 00:05:04,640 --> 00:05:07,239 Speaker 1: going to bring you some good American first conservative policy, 83 00:05:07,640 --> 00:05:10,760 Speaker 1: and all Donald Trump is doing is literally making your 84 00:05:10,839 --> 00:05:16,200 Speaker 1: life and making your economic life a total nightmare. Right, 85 00:05:16,480 --> 00:05:20,920 Speaker 1: You're going to have the government buying beef from another country, 86 00:05:21,040 --> 00:05:25,359 Speaker 1: undermining our beef industry, and we're going to have soybean 87 00:05:26,640 --> 00:05:32,240 Speaker 1: crops that may eventually rot and go nowhere, because China 88 00:05:32,240 --> 00:05:35,039 Speaker 1: has found other ways to buy soybeans from many other countries, 89 00:05:35,080 --> 00:05:39,920 Speaker 1: including Argentina. But it's not just Argentina that has been 90 00:05:39,920 --> 00:05:44,440 Speaker 1: a universal distraction to Donald Trump. Right, he's got to 91 00:05:44,480 --> 00:05:46,920 Speaker 1: try to do some trade deal with China. He's consumed 92 00:05:46,960 --> 00:05:51,159 Speaker 1: with that. He's obviously that he sees the peace steel 93 00:05:51,240 --> 00:05:53,719 Speaker 1: potential peace steel which may fall apart at any moment 94 00:05:54,080 --> 00:05:59,920 Speaker 1: in Israel between the between the Hamas and Israel, which 95 00:06:00,760 --> 00:06:03,440 Speaker 1: I love the term that somebody leaked out from the 96 00:06:03,440 --> 00:06:05,760 Speaker 1: Trump administration that they're sending people over there to go 97 00:06:05,839 --> 00:06:09,920 Speaker 1: bib sitting, because it's pretty clear the right wing pressure 98 00:06:09,960 --> 00:06:14,880 Speaker 1: BB is facing is all about pulling back from the 99 00:06:14,920 --> 00:06:17,719 Speaker 1: agreement that was made. But the fact this is a case, 100 00:06:17,760 --> 00:06:20,279 Speaker 1: and this was something I wasn't one hundred percent sure about. 101 00:06:20,960 --> 00:06:26,359 Speaker 1: You know, it's one thing to announce the agreement between 102 00:06:26,480 --> 00:06:29,240 Speaker 1: Israel and Amas, and it's another thing to make sure 103 00:06:29,240 --> 00:06:33,000 Speaker 1: it sticks. And I'll give this administration credit, they're trying 104 00:06:33,080 --> 00:06:36,640 Speaker 1: to make it stick, sending vans over there, sending what 105 00:06:36,839 --> 00:06:40,760 Speaker 1: coughback over there to do again what a Trump administration 106 00:06:40,839 --> 00:06:46,120 Speaker 1: official is calling bb sitting. But again, he is consumed 107 00:06:46,279 --> 00:06:53,000 Speaker 1: with an international legacy on foreign policy, this war with Venezuela, 108 00:06:53,640 --> 00:06:58,400 Speaker 1: where obviously I made that the focal point of my 109 00:06:58,560 --> 00:07:04,039 Speaker 1: podcast the other day, there's this policy. If it ever 110 00:07:04,160 --> 00:07:08,920 Speaker 1: gets any congressional scrutiny, you know, there's definitely being We're 111 00:07:08,920 --> 00:07:12,080 Speaker 1: being misled, right, There's no fentanyl at all having to 112 00:07:12,080 --> 00:07:15,160 Speaker 1: do with anything with Venezuela. This is clearly an attempt 113 00:07:15,480 --> 00:07:20,320 Speaker 1: to do regime change with Maduro. Ironically, I think he 114 00:07:20,320 --> 00:07:23,160 Speaker 1: would have more political support domestically if they would not 115 00:07:23,400 --> 00:07:26,120 Speaker 1: lie about what they're doing. But they're trying to do 116 00:07:26,200 --> 00:07:30,040 Speaker 1: this backhanded way, thinking that they because of his America 117 00:07:30,160 --> 00:07:33,320 Speaker 1: First proclamations, he doesn't want to just willy nilly get 118 00:07:33,320 --> 00:07:36,080 Speaker 1: into a war for regime change. So he's got to 119 00:07:36,160 --> 00:07:39,560 Speaker 1: somehow ground it in one of his campaign promises, what 120 00:07:39,560 --> 00:07:42,600 Speaker 1: did he ground it in? He's going to go after 121 00:07:42,680 --> 00:07:47,480 Speaker 1: these cartels that are bringing fentanyl killing Americans the United States. 122 00:07:47,480 --> 00:07:53,239 Speaker 1: The problem is whatever fentyl issue that we have comes 123 00:07:53,240 --> 00:07:57,320 Speaker 1: from Mexico via China. That's the situation. And of course 124 00:07:57,600 --> 00:08:01,400 Speaker 1: he's afraid to get tough on China right now because 125 00:08:01,480 --> 00:08:04,280 Speaker 1: we're in an essentially mutual assured destruction when it comes 126 00:08:04,280 --> 00:08:07,400 Speaker 1: to each other's economy. And he certainly got getting some 127 00:08:07,440 --> 00:08:12,440 Speaker 1: cooperation with Mexico to limit the number of border crossings 128 00:08:12,440 --> 00:08:16,880 Speaker 1: that we've had. So he's trying to use this, you know, 129 00:08:16,920 --> 00:08:19,040 Speaker 1: it's sort of a pay no attention to what I 130 00:08:19,080 --> 00:08:20,960 Speaker 1: pay attention to what I said, but not where I 131 00:08:21,040 --> 00:08:24,280 Speaker 1: was talking about. Instead focus over here and we'll use 132 00:08:24,520 --> 00:08:29,600 Speaker 1: this rubric of that. Obviously, they were sort of exposed 133 00:08:31,160 --> 00:08:35,440 Speaker 1: with their questionable legal strategy here because I think they 134 00:08:35,480 --> 00:08:39,200 Speaker 1: can't defend what they did under on our vi it 135 00:08:39,520 --> 00:08:45,280 Speaker 1: using our constitution. So they've repatriated survivors of these bombings. Well, 136 00:08:46,200 --> 00:08:49,960 Speaker 1: what is Ecuador done well? On Tuesday evening, the Associated 137 00:08:50,000 --> 00:08:52,400 Speaker 1: Press reported that one of the survivors of a US 138 00:08:52,440 --> 00:08:57,280 Speaker 1: strike of that submersible Narco sub that was accused by 139 00:08:57,280 --> 00:09:00,719 Speaker 1: the Trump administration of transporting drugs in the Caribbean, ended 140 00:09:00,800 --> 00:09:03,959 Speaker 1: up being released by authorities in Ecuador after prosecutors said 141 00:09:03,960 --> 00:09:07,160 Speaker 1: they had no evidence that he committed a crime in 142 00:09:07,320 --> 00:09:12,200 Speaker 1: their nation, which was part of the issue. Right this 143 00:09:12,240 --> 00:09:15,480 Speaker 1: administration who presented no evidence to the public, no evidence 144 00:09:15,520 --> 00:09:19,760 Speaker 1: to allies, no evidence to Congress. They have presented no evidence. 145 00:09:19,800 --> 00:09:24,040 Speaker 1: Perhaps they've presented evidence to themselves, to various legal counsels. 146 00:09:24,360 --> 00:09:26,960 Speaker 1: But given that we've had a resignation of the commander 147 00:09:27,360 --> 00:09:31,360 Speaker 1: of southcom, I question whether they've been able to come 148 00:09:31,440 --> 00:09:34,080 Speaker 1: up with the legal rationale to do what they're doing. 149 00:09:35,600 --> 00:09:38,760 Speaker 1: There has been none of this. And again, we do 150 00:09:38,840 --> 00:09:41,920 Speaker 1: not have a function in United States Congress. If we 151 00:09:42,000 --> 00:09:45,439 Speaker 1: had a function in United States Congress, they would be 152 00:09:45,640 --> 00:09:50,440 Speaker 1: focused on this. And yet, sadly we don't have a 153 00:09:50,440 --> 00:09:54,319 Speaker 1: function in Congress. You know, I vacillate between we sit 154 00:09:54,400 --> 00:09:57,120 Speaker 1: here as this sort of a we just have an 155 00:09:57,200 --> 00:10:00,360 Speaker 1: incompetently run government and will sort of muddle th through this, 156 00:10:01,320 --> 00:10:05,240 Speaker 1: or we have a president who's intentionally trying to weaken 157 00:10:05,320 --> 00:10:07,520 Speaker 1: every other a political party that has decided to go 158 00:10:07,600 --> 00:10:11,120 Speaker 1: all in with Trump, weaken all of the guardrails of 159 00:10:11,200 --> 00:10:16,840 Speaker 1: the functioning republic and just concentrate all power within one 160 00:10:16,880 --> 00:10:21,280 Speaker 1: person in the executive branch, which of course would be 161 00:10:21,360 --> 00:10:24,520 Speaker 1: a dangerous precedent. And that's the concern that many people 162 00:10:24,559 --> 00:10:27,160 Speaker 1: have here. It's the precedents that are being set. The 163 00:10:27,200 --> 00:10:30,800 Speaker 1: idea that Trump will be the one and only president 164 00:10:31,120 --> 00:10:34,560 Speaker 1: that tries to execute power the way he's executed it, 165 00:10:35,320 --> 00:10:39,560 Speaker 1: I think is quite naive. And this is why I've 166 00:10:39,679 --> 00:10:43,680 Speaker 1: been very disappointed in the lack of oversight, the lack 167 00:10:43,720 --> 00:10:48,280 Speaker 1: of concern by Congress, a coequal branch of government where 168 00:10:48,320 --> 00:10:50,600 Speaker 1: the executive is not supposed to have any more authority 169 00:10:51,280 --> 00:10:54,120 Speaker 1: over the legislative, and yet they continue to do that. 170 00:10:55,880 --> 00:10:58,280 Speaker 1: But I'm going on a roundabout way to say Donald 171 00:10:58,320 --> 00:11:02,840 Speaker 1: Trump is focused on everything domestic issues in the United States. 172 00:11:03,080 --> 00:11:05,320 Speaker 1: This is a man that has not focused on the economy. 173 00:11:05,360 --> 00:11:07,360 Speaker 1: This is a man that is not aware that inflation 174 00:11:07,480 --> 00:11:09,560 Speaker 1: is up, not down. This is a man that is 175 00:11:09,600 --> 00:11:12,880 Speaker 1: not aware that prices are going up, not down. Electricity 176 00:11:12,880 --> 00:11:15,240 Speaker 1: has gone price of energy has gone up, not down. 177 00:11:16,480 --> 00:11:20,160 Speaker 1: We have a continuing softening of an economy. And I 178 00:11:20,200 --> 00:11:22,920 Speaker 1: will tell you this. I remember my first professional campaign 179 00:11:23,320 --> 00:11:27,480 Speaker 1: covering was nineteen ninety two and George H. W. Bush 180 00:11:27,600 --> 00:11:34,160 Speaker 1: was he was presiding over the fall of the entire 181 00:11:34,720 --> 00:11:38,720 Speaker 1: Soviet side of things, right, the entire Iron Curtain was falling. 182 00:11:39,160 --> 00:11:43,560 Speaker 1: This was essentially a victory lap for democracy, a victory 183 00:11:43,559 --> 00:11:47,000 Speaker 1: for the United States. And he was going all over 184 00:11:47,040 --> 00:11:51,360 Speaker 1: the world making new allies, creating a G eight at 185 00:11:51,360 --> 00:11:54,440 Speaker 1: the time, trying to figure out how to bring more 186 00:11:54,960 --> 00:12:02,440 Speaker 1: of these Soviet satellite countries into the world. And as 187 00:12:02,440 --> 00:12:08,600 Speaker 1: the economy started getting soft, Democrats successfully said, hey, this 188 00:12:08,640 --> 00:12:11,440 Speaker 1: guy cares about all things overseas. He doesn't care about 189 00:12:11,440 --> 00:12:15,400 Speaker 1: Americans here. And you're already starting to see like the bailout. 190 00:12:16,120 --> 00:12:22,160 Speaker 1: So we're going to bail out Argentina's economy, buy their beef, 191 00:12:23,320 --> 00:12:27,040 Speaker 1: but raise prices on people's healthcare. Right, This is not 192 00:12:27,280 --> 00:12:31,000 Speaker 1: going to be a hard political message to sell. And 193 00:12:31,040 --> 00:12:34,480 Speaker 1: the irony is Donald Trump ran in America first meeting. 194 00:12:34,559 --> 00:12:38,959 Speaker 1: It's all about repairing the country, right, all about making 195 00:12:39,040 --> 00:12:43,000 Speaker 1: America great again. And instead he's so consumed with his 196 00:12:43,040 --> 00:12:46,280 Speaker 1: own legacy. He's consumed with these trade deals that he 197 00:12:46,400 --> 00:12:50,280 Speaker 1: has to make because he's decided tariffs are a better 198 00:12:50,320 --> 00:12:52,920 Speaker 1: way to run an economy than how the economy's gone 199 00:12:52,920 --> 00:12:56,520 Speaker 1: over the last thirty years. He's in some ways create 200 00:12:56,880 --> 00:12:59,400 Speaker 1: the mess that he has to clean up in one 201 00:12:59,480 --> 00:13:03,360 Speaker 1: on one day diplomacy is a mess that he created himself. 202 00:13:04,559 --> 00:13:07,719 Speaker 1: Needless to say, he's consumed with having summits with Kim 203 00:13:07,800 --> 00:13:12,880 Speaker 1: Jong un and summits with Vladimir Putin and summits with she. 204 00:13:14,240 --> 00:13:18,200 Speaker 1: But what's he doing for your grocery budget? You see 205 00:13:18,240 --> 00:13:20,719 Speaker 1: where this is going, and I think you start You're 206 00:13:20,760 --> 00:13:23,880 Speaker 1: starting to see some Republicans get very nervous that this 207 00:13:24,000 --> 00:13:27,439 Speaker 1: administration is taking its eye off the ball. They got 208 00:13:27,440 --> 00:13:30,200 Speaker 1: elected for one reason, to bring down costs. They think 209 00:13:30,240 --> 00:13:33,480 Speaker 1: they got elected for other reasons. But the amount of 210 00:13:33,720 --> 00:13:42,680 Speaker 1: money they're spending on themselves, on essentially businesses, or helping 211 00:13:42,720 --> 00:13:48,280 Speaker 1: to benefit businesses that maybe their friends can be get 212 00:13:48,360 --> 00:13:52,720 Speaker 1: rich on, or sort of enhancing their own politics. Take 213 00:13:53,000 --> 00:13:55,880 Speaker 1: Christinome at the Department of Homeland Security. Just in the 214 00:13:55,960 --> 00:14:02,000 Speaker 1: last week right, we have learned that the large expenditure 215 00:14:02,080 --> 00:14:06,800 Speaker 1: for television ads by any political entity is not by 216 00:14:06,840 --> 00:14:12,080 Speaker 1: any actual campaign group, but it's by a US government agency, 217 00:14:13,640 --> 00:14:18,040 Speaker 1: the Department of Homeland Security. Our friends at Axios reported 218 00:14:18,040 --> 00:14:21,440 Speaker 1: that DHS has so far we're not even one year 219 00:14:21,480 --> 00:14:25,280 Speaker 1: into this this new administration, but the Christy Nome laed 220 00:14:25,320 --> 00:14:30,640 Speaker 1: DHS has been at least fifty one million dollars on 221 00:14:30,760 --> 00:14:35,440 Speaker 1: a wave of direct to camera spots. And you've seen them. 222 00:14:35,680 --> 00:14:38,600 Speaker 1: I watch a lot of college football. She's her faces 223 00:14:38,600 --> 00:14:41,240 Speaker 1: everywhere I travel. She looks She's not the first Homeland 224 00:14:41,280 --> 00:14:44,360 Speaker 1: Security Secretary to put her face on the TSA PreCheck 225 00:14:44,440 --> 00:14:47,880 Speaker 1: screenings and the security screening television cameras, but to be 226 00:14:48,000 --> 00:14:50,720 Speaker 1: front and center on the actual ad campaign around the 227 00:14:50,720 --> 00:14:54,120 Speaker 1: country around deportations and all of them. They're supposed to 228 00:14:54,120 --> 00:14:56,520 Speaker 1: be public service messages, but instead they appear to be 229 00:14:56,640 --> 00:15:00,560 Speaker 1: campaign style messages with President Trump as the most mentioned 230 00:15:00,560 --> 00:15:03,160 Speaker 1: phrase and all of the creatives, and it really does 231 00:15:03,200 --> 00:15:05,760 Speaker 1: seem as it's Christy Nomes effort to say, hey, look 232 00:15:05,760 --> 00:15:08,760 Speaker 1: at me, I'm one of Donald Trump's right hand people 233 00:15:08,760 --> 00:15:14,640 Speaker 1: when it comes to immigration. Right. And you know, if 234 00:15:14,680 --> 00:15:17,000 Speaker 1: this were not a political ad, they wouldn't be tapping 235 00:15:17,000 --> 00:15:19,280 Speaker 1: a political ad agency, but they did. They tapped the 236 00:15:19,320 --> 00:15:22,600 Speaker 1: conservative line political ad agency called People Who Think and 237 00:15:22,680 --> 00:15:26,640 Speaker 1: Safe America Media. And it's a contract with a ceiling 238 00:15:26,680 --> 00:15:28,640 Speaker 1: of up to two hundred million dollars. So they've spent 239 00:15:28,680 --> 00:15:31,600 Speaker 1: fifty one million in less than a year, which means 240 00:15:31,600 --> 00:15:34,320 Speaker 1: that their plan probably is to spend two hundred million, 241 00:15:34,880 --> 00:15:37,920 Speaker 1: probably over this year and next year before the midterm elections. 242 00:15:39,080 --> 00:15:43,560 Speaker 1: They've even done Spanish language versions of these they target. 243 00:15:43,600 --> 00:15:45,720 Speaker 1: Some of them are about telling people not to come 244 00:15:45,720 --> 00:15:48,160 Speaker 1: to the border. Some of them are telling people to 245 00:15:48,200 --> 00:15:52,880 Speaker 1: self deport. So that's two hundred million dollars that's not 246 00:15:52,920 --> 00:15:55,520 Speaker 1: being used to bring down the cost of groceries or 247 00:15:55,560 --> 00:15:58,320 Speaker 1: bring down the cost of health care. Then what do 248 00:15:58,400 --> 00:16:03,000 Speaker 1: we learn over the weekend? Christinome has bought not one, 249 00:16:03,080 --> 00:16:07,440 Speaker 1: but two new planes. Somehow the Department of Homeland's security 250 00:16:07,840 --> 00:16:12,360 Speaker 1: secretary needs a fleet of planes. Okay, I'm not sure, 251 00:16:12,360 --> 00:16:15,440 Speaker 1: you know, we can decide how many planes she needs. 252 00:16:15,480 --> 00:16:18,680 Speaker 1: So they're buying two Gulf Tream G seven hundreds. It' 253 00:16:18,680 --> 00:16:24,120 Speaker 1: said about another two hundred million dollars. All in, this 254 00:16:24,200 --> 00:16:26,760 Speaker 1: looks a lot more like giving her as much easy 255 00:16:26,760 --> 00:16:30,720 Speaker 1: transportation to travel the country. She's got an ad budget 256 00:16:30,760 --> 00:16:35,160 Speaker 1: to promote herself. I'll tell you this, if you're the 257 00:16:35,240 --> 00:16:37,280 Speaker 1: vice president of the United States and you think you're 258 00:16:37,320 --> 00:16:42,360 Speaker 1: the heir parent to Maga and Donald Trump, all of 259 00:16:42,360 --> 00:16:45,440 Speaker 1: a sudden, jd Vance has one plane, Christy Nome now 260 00:16:45,440 --> 00:16:50,520 Speaker 1: has two. Marco Rubio has one plane. Christy Nome now 261 00:16:50,560 --> 00:16:55,920 Speaker 1: has two jd Vance has launched his ad campaign promoting 262 00:16:57,640 --> 00:17:00,840 Speaker 1: various parts of the of the the agenda that he 263 00:17:00,920 --> 00:17:04,080 Speaker 1: thinks or something he should take credit for. Christy Nomas. 264 00:17:04,400 --> 00:17:08,480 Speaker 1: Marco Rubio hasn't done this, Christy Nomas. Even Pete Hegseth, 265 00:17:08,560 --> 00:17:11,800 Speaker 1: for all of his obsessions over his own personal vanity, 266 00:17:12,359 --> 00:17:18,440 Speaker 1: hasn't done what Christy nom has done. So I do 267 00:17:18,560 --> 00:17:21,720 Speaker 1: wonder if she's putting herself out there a bit too 268 00:17:21,800 --> 00:17:25,800 Speaker 1: much for Magaworld. It wouldn't surprise me if if there 269 00:17:25,880 --> 00:17:29,040 Speaker 1: is some sort of because you're going to have, whether 270 00:17:29,080 --> 00:17:31,360 Speaker 1: it's Vance, whether it's Rubia, whether it's other people who 271 00:17:31,359 --> 00:17:34,480 Speaker 1: think she's trying, you know, she's trying a little bit 272 00:17:34,480 --> 00:17:41,280 Speaker 1: too hard to essentially get something out of this. It's look, 273 00:17:41,359 --> 00:17:43,800 Speaker 1: I will say this, if she pulls it off and 274 00:17:43,880 --> 00:17:47,880 Speaker 1: becomes a viable presidential candidate, I'm skeptical, but I'm sitting 275 00:17:47,920 --> 00:17:50,480 Speaker 1: I'm not going to rule it up. She'd becomes She'll 276 00:17:50,520 --> 00:17:52,520 Speaker 1: be the first person to turn what I thought is 277 00:17:52,560 --> 00:17:56,840 Speaker 1: the deadest of debt in jobs for a politic for 278 00:17:56,920 --> 00:18:00,800 Speaker 1: the politically ambitious, which is DHS. Because ultimately, and this 279 00:18:01,800 --> 00:18:03,800 Speaker 1: is the piano that hangs over the head of every 280 00:18:03,840 --> 00:18:09,439 Speaker 1: DHS Secretary Christy Noman included, which is when something goes wrong, 281 00:18:09,680 --> 00:18:13,159 Speaker 1: you're going to be the first place people come to 282 00:18:13,200 --> 00:18:16,840 Speaker 1: go what went wrong, What happened, Whether it's disaster recovery, 283 00:18:17,680 --> 00:18:21,320 Speaker 1: or whether it's an actual problem at the border, or 284 00:18:21,359 --> 00:18:23,520 Speaker 1: whether it's something having to do with the Marshall Service. 285 00:18:23,520 --> 00:18:25,600 Speaker 1: There's a lot of things that come under her purview 286 00:18:26,119 --> 00:18:29,680 Speaker 1: or the Secret Service now right, anything that goes wrong 287 00:18:29,760 --> 00:18:37,160 Speaker 1: in security will will be sort of she'll be front 288 00:18:37,160 --> 00:18:40,320 Speaker 1: and center having to deal with the response. You don't 289 00:18:40,359 --> 00:18:42,800 Speaker 1: necessarily get a positive now she's hoping to get a 290 00:18:42,800 --> 00:18:45,240 Speaker 1: positive out of this. She is the face of the 291 00:18:45,280 --> 00:18:49,400 Speaker 1: mass deportation that somehow this will make her politically viable 292 00:18:50,600 --> 00:18:54,320 Speaker 1: in a MAGA primary in twenty twenty eight. I'm not 293 00:18:54,359 --> 00:19:00,119 Speaker 1: going to say that that isn't possible. It is. I 294 00:19:00,160 --> 00:19:02,439 Speaker 1: do feel like this is a lot of wasted money 295 00:19:02,800 --> 00:19:08,320 Speaker 1: for somebody where one unexpected event will likely kneecap any 296 00:19:08,400 --> 00:19:12,720 Speaker 1: potential chances she has, because let's just say, I'm not 297 00:19:12,800 --> 00:19:14,800 Speaker 1: confident this is a department that's going to be able 298 00:19:14,800 --> 00:19:18,840 Speaker 1: to handle an extreme weather issue. So far, they've gotten lucky. 299 00:19:18,840 --> 00:19:21,679 Speaker 1: This hasn't been a very light hurricane season for the 300 00:19:21,760 --> 00:19:26,840 Speaker 1: United States. We haven't had a big event yet. It's October. 301 00:19:27,560 --> 00:19:32,400 Speaker 1: Superstorm Sandy happened later at this time, we've had November storms. 302 00:19:32,720 --> 00:19:35,080 Speaker 1: Maybe we get through this year that way. Are you 303 00:19:35,160 --> 00:19:37,280 Speaker 1: sure we're going to get through next year We've already had. 304 00:19:37,760 --> 00:19:40,720 Speaker 1: DHS should have taken a lot more blame for its 305 00:19:40,800 --> 00:19:43,840 Speaker 1: lack of coordination for those floods in Texas, But the 306 00:19:43,880 --> 00:19:47,560 Speaker 1: Texas first responders were a disaster on their own, and 307 00:19:47,600 --> 00:19:50,480 Speaker 1: they didn't have the proper equipment down there, so they 308 00:19:50,520 --> 00:19:53,680 Speaker 1: took more of the brunt. But DHS was pretty slow 309 00:19:53,720 --> 00:19:59,240 Speaker 1: to respond. So I'm not sure I think that I 310 00:19:59,280 --> 00:20:02,840 Speaker 1: have the confidence that they've so concentrated all their resources 311 00:20:02,840 --> 00:20:06,840 Speaker 1: on deportation that the other parts of their job, namely 312 00:20:06,880 --> 00:20:12,040 Speaker 1: disaster response. Is feels like a ticking time bomb when 313 00:20:12,119 --> 00:20:15,679 Speaker 1: it comes to the competence issue of DHS. But again, 314 00:20:16,720 --> 00:20:20,880 Speaker 1: this is now four hundred million dollars essentially to promote 315 00:20:20,920 --> 00:20:23,400 Speaker 1: a future presidential candidate with two planes in an ad 316 00:20:23,440 --> 00:20:26,159 Speaker 1: campaign that have nothing to do with keeping you safer, 317 00:20:26,560 --> 00:20:30,480 Speaker 1: nothing to do with lowering the costs of groceries, and 318 00:20:30,720 --> 00:20:35,520 Speaker 1: nothing nothing to bring down the cost of energy or 319 00:20:35,560 --> 00:20:41,160 Speaker 1: anything you've been dealing with. So it's a it is, 320 00:20:41,320 --> 00:20:46,280 Speaker 1: this is this is the material where you can get 321 00:20:46,359 --> 00:20:51,560 Speaker 1: to independent voters. You know, I'm not convinced hitting him 322 00:20:51,720 --> 00:20:56,080 Speaker 1: over redoing the East Wing will be as impactful as 323 00:20:56,680 --> 00:21:01,040 Speaker 1: wasting government money, spending too much time overseas, essentially not 324 00:21:01,480 --> 00:21:05,040 Speaker 1: committing to what you promised to do, which is bring 325 00:21:05,080 --> 00:21:08,640 Speaker 1: down costs. And instead they seem to be worried about 326 00:21:08,640 --> 00:21:12,560 Speaker 1: the Argentinian economy more than they're worried about the American economy. 327 00:21:12,720 --> 00:21:14,879 Speaker 1: They seem to be worried about their own personal public 328 00:21:14,920 --> 00:21:19,880 Speaker 1: image rather than worried about bringing down the costs, which 329 00:21:19,960 --> 00:21:23,560 Speaker 1: is why they won that election. So I just point 330 00:21:23,600 --> 00:21:28,160 Speaker 1: that out there. I think he's that the Republicans may 331 00:21:28,200 --> 00:21:32,600 Speaker 1: be stuck having to defend in the midterm elections a 332 00:21:32,640 --> 00:21:35,160 Speaker 1: Trump administration that seems to be a lot more focused 333 00:21:35,200 --> 00:21:41,920 Speaker 1: on their personal legacy, political advancement, and not a personal 334 00:21:42,080 --> 00:21:49,120 Speaker 1: enrichment and vanity rather than on your problems, rather than 335 00:21:49,280 --> 00:21:55,080 Speaker 1: on putting America first. Just something to think about there. 336 00:22:00,960 --> 00:22:04,000 Speaker 1: There's a reason results matter more than promises, just like 337 00:22:04,080 --> 00:22:07,200 Speaker 1: there's a reason Morgan and Morgan is America's largest injury 338 00:22:07,280 --> 00:22:10,000 Speaker 1: law firm for the last thirty five years, they've recovered 339 00:22:10,119 --> 00:22:13,280 Speaker 1: twenty five billion dollars for more than half a million clients. 340 00:22:13,840 --> 00:22:17,439 Speaker 1: It includes cases where insurance companies offered next to nothing, 341 00:22:17,720 --> 00:22:20,520 Speaker 1: just hoping to get away with paying as little as possible. 342 00:22:20,560 --> 00:22:23,640 Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact, 343 00:22:23,720 --> 00:22:26,840 Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars, 344 00:22:27,320 --> 00:22:30,359 Speaker 1: which was a staggering forty times the amount that the 345 00:22:30,400 --> 00:22:33,639 Speaker 1: insurance company originally offered. That original offer six hundred and 346 00:22:33,720 --> 00:22:37,240 Speaker 1: fifty thousand dollars twenty six million, six hundred fifty thousand dollars. 347 00:22:37,320 --> 00:22:39,440 Speaker 1: So with more than one thousand lawyers across the country, 348 00:22:39,600 --> 00:22:42,240 Speaker 1: they know how to deliver for everyday people. If you're injured, 349 00:22:42,320 --> 00:22:44,920 Speaker 1: you need a lawyer. You need somebody to get your back. 350 00:22:45,320 --> 00:22:48,080 Speaker 1: Check out for the People dot com, Slash podcast, or 351 00:22:48,480 --> 00:22:53,680 Speaker 1: dial pound law pound five two nine law on your 352 00:22:53,720 --> 00:22:56,320 Speaker 1: cell phone. And remember all law firms are not the same. 353 00:22:56,359 --> 00:22:58,520 Speaker 1: So check out Morgan and Morgan. Their fee is free 354 00:22:58,800 --> 00:23:06,520 Speaker 1: unless they win. All right, I want to transition a 355 00:23:06,560 --> 00:23:11,560 Speaker 1: bit to what I think is what I'm calling the 356 00:23:11,600 --> 00:23:17,960 Speaker 1: coming cultural war over AI. It's pretty clear, right, there's 357 00:23:17,960 --> 00:23:21,120 Speaker 1: not a single corner of modern life, politics, sports, entertainment, 358 00:23:21,119 --> 00:23:24,560 Speaker 1: business that has been untouched by what is a growing 359 00:23:24,640 --> 00:23:30,560 Speaker 1: anxiety over artificial intelligence. Right everywhere you look, someone is 360 00:23:30,600 --> 00:23:34,240 Speaker 1: pondering what happens when AI comes for their industry. AI 361 00:23:34,320 --> 00:23:39,480 Speaker 1: in sports, analytics, AI in journalism, AI and jobs sort 362 00:23:39,480 --> 00:23:44,600 Speaker 1: of the white collar database jobs, AI and entertainment, AI 363 00:23:44,600 --> 00:23:50,120 Speaker 1: and creativity itself. So you can see the tension here 364 00:23:50,200 --> 00:23:52,240 Speaker 1: and show up, you know, one of the ways I've noticed. 365 00:23:52,720 --> 00:23:56,480 Speaker 1: Have you notice in pharmaceutical commercials you're starting to see 366 00:23:56,600 --> 00:23:58,760 Speaker 1: all of a sudden there a lot more of them 367 00:23:58,800 --> 00:24:04,520 Speaker 1: are animated instead of live action. Well it's not a coincidence, right, Ever, 368 00:24:04,560 --> 00:24:09,120 Speaker 1: since sort of AI matured to make video you could 369 00:24:09,160 --> 00:24:14,480 Speaker 1: put real people in that, you know, it is if 370 00:24:14,480 --> 00:24:17,920 Speaker 1: you use realistic AI generated humans instead of real actors 371 00:24:18,720 --> 00:24:21,520 Speaker 1: as a way to save money, viewers might recoil. They're 372 00:24:21,560 --> 00:24:24,360 Speaker 1: not going to like that. There might even be sort 373 00:24:24,359 --> 00:24:28,639 Speaker 1: of loud protests at these companies who themselves already have 374 00:24:28,680 --> 00:24:33,120 Speaker 1: been coming under siege for high costs and things like that. Right, 375 00:24:33,240 --> 00:24:35,720 Speaker 1: So by making an animated you sort of you know, 376 00:24:36,520 --> 00:24:39,600 Speaker 1: because look, it's pretty unsettling. I think to watch a 377 00:24:39,720 --> 00:24:44,280 Speaker 1: person who isn't one, right, it's a subconscious reminder that 378 00:24:44,280 --> 00:24:46,919 Speaker 1: somebody decided not to hire a human being, and that 379 00:24:46,920 --> 00:24:49,520 Speaker 1: that is the real fear that's out there, this idea 380 00:24:49,560 --> 00:24:51,600 Speaker 1: that there's this group of tech bros that want to 381 00:24:51,680 --> 00:24:57,520 Speaker 1: essentially replace humankind. So that's why you've seen animation. But 382 00:24:57,560 --> 00:25:00,359 Speaker 1: it's sort of this brief step that you see in AI. Right, 383 00:25:00,440 --> 00:25:04,080 Speaker 1: So animation is safer right now. It sidesteps this sort 384 00:25:04,119 --> 00:25:08,240 Speaker 1: of potential cultural backlash that might come from making the 385 00:25:08,320 --> 00:25:13,920 Speaker 1: replacement of actors too obvious. So that's just one small 386 00:25:14,320 --> 00:25:17,840 Speaker 1: esthetic thing. But there's something else that's happening on here 387 00:25:17,840 --> 00:25:20,800 Speaker 1: and why I believe a coming culture war over AI 388 00:25:22,680 --> 00:25:26,880 Speaker 1: is there. I was watching this new announcement video from 389 00:25:26,880 --> 00:25:29,320 Speaker 1: a candidate running for the US Senate in Florida. His 390 00:25:29,400 --> 00:25:32,919 Speaker 1: name is Hector Muhika. He's a Venezuelan born former Google 391 00:25:32,920 --> 00:25:35,800 Speaker 1: executive and he's exploring a run as a Democrat. Well 392 00:25:35,840 --> 00:25:38,480 Speaker 1: in his ad, towards the end, he started accused as 393 00:25:38,520 --> 00:25:43,040 Speaker 1: opponent the Republican appointed Senator Ashley Moody of quote AI 394 00:25:43,160 --> 00:25:46,919 Speaker 1: making decisions over medicare pricing and quote AI deciding what 395 00:25:47,080 --> 00:25:51,600 Speaker 1: care that you get? So think about that right, This 396 00:25:51,800 --> 00:25:54,240 Speaker 1: is what I think you're going to start to see 397 00:25:54,320 --> 00:25:56,480 Speaker 1: AI and fear is going to go hand in hand. 398 00:25:57,000 --> 00:25:58,840 Speaker 1: One side of the argument's going to be this, right, 399 00:25:59,000 --> 00:26:02,119 Speaker 1: fear of a non human making a decision. Fear then 400 00:26:02,160 --> 00:26:05,960 Speaker 1: an algorithm, not a doctor or a government official, will 401 00:26:05,960 --> 00:26:10,280 Speaker 1: decide whether your grandmother gets treatment, a treatment for your 402 00:26:10,280 --> 00:26:13,919 Speaker 1: grandmother gets approved, or a treatment for yourself gets approved. 403 00:26:14,160 --> 00:26:17,399 Speaker 1: This is a very potent emotional trigger, right, Or it'll be 404 00:26:17,480 --> 00:26:20,400 Speaker 1: easy to weaponize because none of us want to feel 405 00:26:20,400 --> 00:26:24,960 Speaker 1: powerless to a machine. And let's be honest, we know 406 00:26:25,040 --> 00:26:29,000 Speaker 1: fear selves. Donald Trump has a successful political career because 407 00:26:29,080 --> 00:26:33,320 Speaker 1: he weaponized fear of immigrants, fear of immigration, Right, that 408 00:26:33,520 --> 00:26:38,000 Speaker 1: was at the core of how he became a political juggernaut. 409 00:26:40,119 --> 00:26:43,560 Speaker 1: But fear also works the other way. Right. The drive 410 00:26:43,760 --> 00:26:50,000 Speaker 1: to have an unregulated AI AI protocols to hurry up 411 00:26:50,000 --> 00:26:53,360 Speaker 1: and win the quote unquote race with China to control 412 00:26:53,440 --> 00:26:57,120 Speaker 1: AI is another type of fear. You know, you don't 413 00:26:57,119 --> 00:26:59,800 Speaker 1: want government getting involved because then we'll lose the AI 414 00:26:59,880 --> 00:27:01,920 Speaker 1: or do you want to be do you want artificial 415 00:27:01,960 --> 00:27:06,119 Speaker 1: intelligence controlled by the Chinese? Right, that's another type of fear. 416 00:27:06,560 --> 00:27:11,840 Speaker 1: That's what the space race, right, it's how, it's how, frankly, 417 00:27:11,920 --> 00:27:14,920 Speaker 1: politicians convinced Americans to throw a bunch of tax dollars 418 00:27:15,119 --> 00:27:18,359 Speaker 1: tax dollars in this mission to the moon because we 419 00:27:18,480 --> 00:27:21,879 Speaker 1: couldn't have the Soviets getting to the moon before us. 420 00:27:22,840 --> 00:27:27,359 Speaker 1: That right, it's another way to use fear. So no 421 00:27:27,440 --> 00:27:30,520 Speaker 1: matter what with AI in campaign twenty twenty six, and 422 00:27:30,640 --> 00:27:35,000 Speaker 1: for sure by campaign twenty twenty eight, politicians are going 423 00:27:35,080 --> 00:27:38,160 Speaker 1: to have a fear argument about AI. Fear of either 424 00:27:38,280 --> 00:27:40,280 Speaker 1: losing the AI race is one way to pitch it, 425 00:27:40,640 --> 00:27:45,040 Speaker 1: or fear that AI is replacing human beings, and it 426 00:27:45,080 --> 00:27:47,880 Speaker 1: isn't just on job job losses. So I do think 427 00:27:48,040 --> 00:27:49,840 Speaker 1: if you're running for president in twenty twenty eight, you 428 00:27:49,920 --> 00:27:52,120 Speaker 1: better have an answer to this. You better have an 429 00:27:52,119 --> 00:27:56,760 Speaker 1: answer to AI anxiety. Bernie Sanders, of course, he's put 430 00:27:56,800 --> 00:28:00,240 Speaker 1: out a full you know, he wants to at the 431 00:28:00,240 --> 00:28:02,920 Speaker 1: thirty two hour work week and put in some guarantees. 432 00:28:03,600 --> 00:28:06,280 Speaker 1: Mark Kelly another potential twenty twenty eight or he's been 433 00:28:06,320 --> 00:28:09,120 Speaker 1: talking about sort of almost like an AI tax. He's 434 00:28:09,160 --> 00:28:12,040 Speaker 1: trying to come up with a system that was similar 435 00:28:12,040 --> 00:28:14,159 Speaker 1: to what we saw during the age of automation and 436 00:28:14,240 --> 00:28:16,719 Speaker 1: free trade agreements in the late eighties and early nineties, 437 00:28:16,760 --> 00:28:19,600 Speaker 1: these sort of you know, if you were if your 438 00:28:19,680 --> 00:28:22,280 Speaker 1: job was displaced by trade, there might be extra money 439 00:28:22,280 --> 00:28:27,199 Speaker 1: for you longer on unemployment benefits and maybe access to 440 00:28:28,000 --> 00:28:31,680 Speaker 1: free money to get retrained. Well, what's the reality of that. 441 00:28:31,680 --> 00:28:33,520 Speaker 1: That didn't really work, did it? How do we know 442 00:28:33,560 --> 00:28:35,600 Speaker 1: it didn't really work? Because we just look what happened 443 00:28:35,640 --> 00:28:40,560 Speaker 1: in the twenty tents, right, we had the entire Essentially, 444 00:28:40,600 --> 00:28:43,680 Speaker 1: you could argue the rise of Trump, Sanders, Bregsit throw 445 00:28:43,720 --> 00:28:47,040 Speaker 1: all that in together. That is essentially a rejection that 446 00:28:47,440 --> 00:28:51,720 Speaker 1: whatever soft landing politicians said was possible when it came 447 00:28:51,760 --> 00:28:56,040 Speaker 1: to the globalization, the voters who supported Trump and Bernie 448 00:28:56,080 --> 00:29:04,560 Speaker 1: and Bresit didn't feel like they landed very softly. So 449 00:29:05,240 --> 00:29:08,680 Speaker 1: this is coming. Our politics are going to be fought 450 00:29:08,760 --> 00:29:14,200 Speaker 1: over a version of this culture war over AI. But 451 00:29:14,240 --> 00:29:16,120 Speaker 1: I do think the AI companies need to pay attention 452 00:29:16,160 --> 00:29:20,120 Speaker 1: to something as well, which is they better start to 453 00:29:20,280 --> 00:29:23,080 Speaker 1: value the human experience, because you know who is going 454 00:29:23,160 --> 00:29:26,320 Speaker 1: to value human beings? Human beings? Where am I going 455 00:29:26,360 --> 00:29:29,280 Speaker 1: with this? I get right now? You look at all this, 456 00:29:29,440 --> 00:29:32,600 Speaker 1: and you know the dystopian nature of Trump's presidency and 457 00:29:32,640 --> 00:29:38,400 Speaker 1: where that's headed the weird sort of authoritarian the comfort 458 00:29:38,480 --> 00:29:40,840 Speaker 1: level of some of these elected Republicans have with this 459 00:29:41,000 --> 00:29:44,640 Speaker 1: nonsense that Trump does, particularly with what he's you know, 460 00:29:44,680 --> 00:29:47,600 Speaker 1: he's ruining the rule of law, all these pardons of 461 00:29:47,760 --> 00:29:50,080 Speaker 1: only his supporters, right, we have totally undermined the rule 462 00:29:50,120 --> 00:29:53,120 Speaker 1: of law. Now he's trying to What's funny is apparently 463 00:29:53,160 --> 00:29:55,680 Speaker 1: Donald Trump, this is a quick society. He's trying to 464 00:29:55,720 --> 00:29:59,120 Speaker 1: shake down the Justice Department to for like over two 465 00:29:59,200 --> 00:30:02,040 Speaker 1: hundred and fifty minis million dollars what he claims are 466 00:30:02,120 --> 00:30:09,360 Speaker 1: damages over the various indictments that he faced from the 467 00:30:09,360 --> 00:30:15,360 Speaker 1: federal government, the various investigations. So he is he started 468 00:30:15,360 --> 00:30:17,880 Speaker 1: this process before he was president, but now he's weirdly 469 00:30:17,920 --> 00:30:21,400 Speaker 1: suing himself and his former personal lawyer, Todd Blanche is 470 00:30:21,440 --> 00:30:23,080 Speaker 1: going to be the guy that signs off on this. 471 00:30:23,720 --> 00:30:27,960 Speaker 1: So oh, by the way, when you're thinking about all 472 00:30:28,000 --> 00:30:30,880 Speaker 1: the money that this administration is spending not helping you 473 00:30:32,440 --> 00:30:35,480 Speaker 1: find lower cost health care or lower the grocery bills, 474 00:30:36,320 --> 00:30:39,000 Speaker 1: he's also going to take two hundred and fifty million 475 00:30:39,040 --> 00:30:42,800 Speaker 1: dollars of our tax dollars and just pocket it money 476 00:30:43,200 --> 00:30:45,840 Speaker 1: he didn't have to spend anyway. He ripped off donors 477 00:30:45,840 --> 00:30:47,840 Speaker 1: from the RNC to pay all his legal bills. As 478 00:30:47,840 --> 00:30:49,920 Speaker 1: it is, he never spent a dollar of these things, 479 00:30:50,640 --> 00:30:53,960 Speaker 1: So I don't know who's getting their money back if 480 00:30:53,960 --> 00:30:56,560 Speaker 1: he's claiming some sort of damage to the US government. 481 00:30:56,960 --> 00:31:01,120 Speaker 1: But I digress. I go back to where we're headed 482 00:31:01,160 --> 00:31:03,720 Speaker 1: with AI. I'm I do think that there's going to 483 00:31:03,720 --> 00:31:07,720 Speaker 1: be an undintended consequence that might actually move us in 484 00:31:07,760 --> 00:31:11,080 Speaker 1: an interesting direction at a time when I think we've 485 00:31:11,120 --> 00:31:17,040 Speaker 1: all felt suffocated by by by the tech world, and 486 00:31:17,080 --> 00:31:20,720 Speaker 1: that is the more things are not believed online. Right, 487 00:31:20,960 --> 00:31:23,360 Speaker 1: the launch of Sora has been is sort of the 488 00:31:23,400 --> 00:31:27,240 Speaker 1: exclamation point on the total destruction the tech companies have 489 00:31:27,320 --> 00:31:30,440 Speaker 1: done to the information ecosystem. You know. One of the 490 00:31:30,480 --> 00:31:36,280 Speaker 1: reasons why I'm very skeptical of the of allowing a 491 00:31:36,280 --> 00:31:39,640 Speaker 1: allowing tech firms and AI to run amuck here is 492 00:31:40,400 --> 00:31:42,880 Speaker 1: we had the same attitude with social media and and 493 00:31:43,000 --> 00:31:47,400 Speaker 1: look what they did, right, These tech companies absolutely destroyed 494 00:31:47,480 --> 00:31:51,040 Speaker 1: trust in all of our institutions. Social media has been 495 00:31:51,480 --> 00:31:58,000 Speaker 1: a total disaster for UH. It has not made things better, 496 00:31:58,040 --> 00:32:02,280 Speaker 1: It's made things pretty much on everything. And now we're 497 00:32:02,280 --> 00:32:06,040 Speaker 1: supposed to trust them to make sure AI, make sure 498 00:32:06,040 --> 00:32:08,880 Speaker 1: we quote win the race for AI and it doesn't 499 00:32:09,040 --> 00:32:13,720 Speaker 1: end up in as dystopian of a situation as we 500 00:32:13,800 --> 00:32:19,640 Speaker 1: deal with now with social media. So forgive my lack 501 00:32:19,680 --> 00:32:24,400 Speaker 1: of confidence in these in these companies, but they've already 502 00:32:24,480 --> 00:32:27,600 Speaker 1: failed on social media. I'm not sure we should be 503 00:32:27,640 --> 00:32:32,840 Speaker 1: allowing them to run without supervision when it comes to AI. 504 00:32:34,280 --> 00:32:37,160 Speaker 1: And yet as much as I have zero confidence in 505 00:32:37,200 --> 00:32:40,440 Speaker 1: tech companies looking out for humanity, zero confidence in this 506 00:32:40,520 --> 00:32:43,600 Speaker 1: government looking out for humanity, you know I trust looking 507 00:32:43,600 --> 00:32:48,320 Speaker 1: out for humanity. Humans. And one of the many AHA 508 00:32:48,440 --> 00:32:52,240 Speaker 1: moments I've had recently is when I speak to large 509 00:32:52,240 --> 00:32:54,920 Speaker 1: groups and I talk about and I get asked about 510 00:32:54,960 --> 00:32:58,000 Speaker 1: AI in general, and where's this headed? Usually it has 511 00:32:58,000 --> 00:33:01,240 Speaker 1: to do with AI in journalism. Sometimes it's you know, 512 00:33:01,440 --> 00:33:03,520 Speaker 1: I note that I do think we're going to see 513 00:33:03,680 --> 00:33:07,840 Speaker 1: a premium put on the human the human touch. And 514 00:33:07,880 --> 00:33:12,360 Speaker 1: what do I mean by this? I'll survey an audience 515 00:33:12,400 --> 00:33:13,920 Speaker 1: that I'm speaking to, and I'll say how many of 516 00:33:13,920 --> 00:33:18,400 Speaker 1: you would pay extra money in order to get a 517 00:33:18,440 --> 00:33:22,320 Speaker 1: customer service agent that was human rather than dealing with 518 00:33:22,360 --> 00:33:26,840 Speaker 1: a bot, automation or something similar. Two thirds of hands 519 00:33:26,880 --> 00:33:29,280 Speaker 1: almost always go up. In fact, I was at a 520 00:33:29,440 --> 00:33:32,520 Speaker 1: tech conference and I asked this question in two thirds 521 00:33:32,560 --> 00:33:38,800 Speaker 1: of hands went up. We value human interactions. We don't 522 00:33:38,880 --> 00:33:46,720 Speaker 1: trust entities. Entities may be more accurate, right, a computer maybe, 523 00:33:46,800 --> 00:33:51,720 Speaker 1: or more accurate, but the lack of humanity adds a 524 00:33:51,840 --> 00:33:55,320 Speaker 1: layer of distrust. Right. I've used to say that about 525 00:33:55,480 --> 00:33:57,360 Speaker 1: you know, these entities, when you talk about working at 526 00:33:57,400 --> 00:34:00,520 Speaker 1: a major network, and you know, does the entity care 527 00:34:00,520 --> 00:34:03,200 Speaker 1: about the employee? No, there is no The entity is 528 00:34:03,240 --> 00:34:05,800 Speaker 1: not human. Right. I used to say, NBC does not 529 00:34:05,880 --> 00:34:09,719 Speaker 1: care about its employees, but the employees care about the 530 00:34:09,760 --> 00:34:14,360 Speaker 1: reputation of NBC. But NBC is an entity. The people 531 00:34:14,360 --> 00:34:18,520 Speaker 1: who are supervising it, they're just you know, they're being counters. 532 00:34:19,160 --> 00:34:22,000 Speaker 1: They're there, they have a feater share responsibility their shareholders, 533 00:34:22,680 --> 00:34:25,279 Speaker 1: but they don't really care about their employees because they're 534 00:34:25,320 --> 00:34:27,759 Speaker 1: not being judged by how their employees feel about them. 535 00:34:28,000 --> 00:34:32,920 Speaker 1: They're simply being judged by the bottom line. And so entities. 536 00:34:32,960 --> 00:34:34,879 Speaker 1: This is why I think we won't care about an 537 00:34:35,000 --> 00:34:37,759 Speaker 1: entity as much as we care about a human. And 538 00:34:37,800 --> 00:34:41,839 Speaker 1: so the more we don't trust things online, the more 539 00:34:41,840 --> 00:34:45,040 Speaker 1: we're going to value the human experience. So I've already 540 00:34:45,400 --> 00:34:48,520 Speaker 1: you know, anecdotally, but we can you know, we will 541 00:34:48,560 --> 00:34:50,400 Speaker 1: pay more money to deal with a human being on 542 00:34:50,440 --> 00:34:56,000 Speaker 1: customer service. So that tells you something. If you don't 543 00:34:56,040 --> 00:34:59,120 Speaker 1: believe anything you see online and right now, thanks to 544 00:34:59,320 --> 00:35:01,759 Speaker 1: the launch of SOL, there's not a single piece of 545 00:35:01,840 --> 00:35:06,080 Speaker 1: video you can fully feel confident in is right. So 546 00:35:06,239 --> 00:35:08,319 Speaker 1: what are you gonna believe? Well, you're gonna have to 547 00:35:08,320 --> 00:35:12,720 Speaker 1: see things in person, the live experience. If you're a journalist, 548 00:35:12,719 --> 00:35:14,920 Speaker 1: you're gonna have to be fully transparent. You probably should 549 00:35:14,920 --> 00:35:18,600 Speaker 1: do more live streams, right I You know, the future 550 00:35:18,680 --> 00:35:20,799 Speaker 1: version of the check podcast may always be that I 551 00:35:20,840 --> 00:35:23,839 Speaker 1: record what I'm doing now fully live, so everybody can 552 00:35:23,880 --> 00:35:27,399 Speaker 1: see the good, the bad, the ugly, and we maybe 553 00:35:27,480 --> 00:35:29,440 Speaker 1: say here's the raw material and then here's how we 554 00:35:29,560 --> 00:35:33,640 Speaker 1: edited it. If you're gonna want to have trust, you're 555 00:35:33,680 --> 00:35:37,840 Speaker 1: gonna have to be fully transparent, fully in available to 556 00:35:37,920 --> 00:35:41,719 Speaker 1: people in person and on products. You know, it may 557 00:35:41,760 --> 00:35:46,399 Speaker 1: be that stores come back. Stores might be not where 558 00:35:46,440 --> 00:35:50,640 Speaker 1: you actually buy things. Stores and the rest of the 559 00:35:50,680 --> 00:35:53,880 Speaker 1: twenty first century might be where you touch and feel 560 00:35:53,960 --> 00:35:56,799 Speaker 1: something to see if it is actually what they say 561 00:35:56,800 --> 00:36:03,160 Speaker 1: it is online. So the more artificial everything online becomes, 562 00:36:04,080 --> 00:36:08,720 Speaker 1: the more we will put a premium on the real 563 00:36:09,000 --> 00:36:13,080 Speaker 1: the in real life, the in person experience, the value 564 00:36:13,120 --> 00:36:18,080 Speaker 1: of life, the value of human to human contact. It 565 00:36:18,160 --> 00:36:21,120 Speaker 1: may be that you have some weirdos in Silicon Valley, 566 00:36:21,160 --> 00:36:23,759 Speaker 1: and there is an entire set of weirdos out there 567 00:36:23,800 --> 00:36:28,000 Speaker 1: that are very smart, but they're super weird who do 568 00:36:28,080 --> 00:36:32,080 Speaker 1: want to replace humans, right, or view sort of humans 569 00:36:32,160 --> 00:36:35,080 Speaker 1: as potential task rabbits for them. I think Bezos said, 570 00:36:35,239 --> 00:36:37,279 Speaker 1: you know, basically. I think at one point, supposedly he 571 00:36:37,320 --> 00:36:40,600 Speaker 1: was quoted as saying, there's going to be essentially the 572 00:36:40,680 --> 00:36:43,759 Speaker 1: super rich, and then a whole bunch of people that 573 00:36:44,040 --> 00:36:46,520 Speaker 1: service the super rich, and that will be the new 574 00:36:46,520 --> 00:36:50,440 Speaker 1: middle class because everything else is automated with some weird, 575 00:36:50,760 --> 00:36:55,319 Speaker 1: sort of very let them eat cake type of observation. 576 00:36:55,880 --> 00:36:59,120 Speaker 1: But it was made by somebody who doesn't live in 577 00:36:59,160 --> 00:37:01,840 Speaker 1: the real world. It doesn't live where ninety percent of 578 00:37:01,920 --> 00:37:07,360 Speaker 1: us live. I know this sounds pollyannish on this front, 579 00:37:07,760 --> 00:37:10,799 Speaker 1: but don't bet against humanity on this. We are not 580 00:37:11,000 --> 00:37:14,440 Speaker 1: going to marginalize ourselves as a species. So even if 581 00:37:14,480 --> 00:37:18,440 Speaker 1: these tech companies do create tools in an attempt to 582 00:37:18,600 --> 00:37:22,719 Speaker 1: marginalize the human experience and if anything even sort of 583 00:37:22,760 --> 00:37:25,600 Speaker 1: say no, no, no, no, this is smarter than a human being, 584 00:37:25,640 --> 00:37:29,320 Speaker 1: this is more thorough than a human being. We aren't 585 00:37:29,360 --> 00:37:34,799 Speaker 1: going to allow ourselves to be displaced, and that is 586 00:37:34,840 --> 00:37:37,920 Speaker 1: something tech companies. The more they keep us out of 587 00:37:37,960 --> 00:37:43,040 Speaker 1: this process and keep humans away from this, and the 588 00:37:43,040 --> 00:37:48,120 Speaker 1: more they keep elected officials away from regulating and trying 589 00:37:48,160 --> 00:37:51,080 Speaker 1: to put up early guardrails, the more they're actually going 590 00:37:51,120 --> 00:37:54,960 Speaker 1: to put their own companies in jeopardy, because if they 591 00:37:55,040 --> 00:37:59,880 Speaker 1: keep plowing forward sort of using all of us as 592 00:38:00,080 --> 00:38:03,000 Speaker 1: guinea pigs and using society as guinea pigs like they 593 00:38:03,000 --> 00:38:07,480 Speaker 1: did with social media, the populist revolt that took place 594 00:38:07,520 --> 00:38:11,759 Speaker 1: on the right with Trump will look like small potatoes 595 00:38:11,800 --> 00:38:18,280 Speaker 1: compared to sort of a populist revolt from multiple parts 596 00:38:18,320 --> 00:38:25,320 Speaker 1: of the political spectrum. And you may see a demand, 597 00:38:26,520 --> 00:38:31,440 Speaker 1: essentially the pitchforks come out for these tech overlords that 598 00:38:32,200 --> 00:38:39,960 Speaker 1: essentially tried to create a world that left out the 599 00:38:40,040 --> 00:38:42,560 Speaker 1: human touch. So I know that all of that sounds 600 00:38:42,560 --> 00:38:45,440 Speaker 1: a little science fiction y, but at the same time, 601 00:38:45,800 --> 00:38:48,160 Speaker 1: I do think this is you're going to see it 602 00:38:48,160 --> 00:38:51,360 Speaker 1: percolate more in political campaign So the fear of AI, 603 00:38:52,040 --> 00:38:54,680 Speaker 1: either fear of losing it to the Chinese, or the 604 00:38:54,719 --> 00:38:57,560 Speaker 1: fear of it replacing us in jobs or in culture, 605 00:38:57,600 --> 00:38:59,560 Speaker 1: and all sorts of things. It's going to be a 606 00:38:59,560 --> 00:39:01,640 Speaker 1: big drive of American politics over the next two to 607 00:39:01,680 --> 00:39:06,279 Speaker 1: four years, so I do think people need to prepare for. Ultimately, 608 00:39:08,400 --> 00:39:11,799 Speaker 1: I call myself short term pessimistic on all this plays out, 609 00:39:11,840 --> 00:39:17,200 Speaker 1: but long term optimistic because we will react in the 610 00:39:17,239 --> 00:39:20,319 Speaker 1: same way. Now we don't trust anything. What it will 611 00:39:20,400 --> 00:39:24,319 Speaker 1: do is it'll motivate us to have more in real 612 00:39:24,360 --> 00:39:28,600 Speaker 1: life experiences. So for those that are sort of pessimistic 613 00:39:28,640 --> 00:39:34,440 Speaker 1: about all this, don't undersell the human experience and do 614 00:39:34,560 --> 00:39:38,120 Speaker 1: realize humans value humans a hell of a lot more 615 00:39:38,719 --> 00:39:44,440 Speaker 1: than they do some computer that he has been powered 616 00:39:44,440 --> 00:39:49,000 Speaker 1: by a data farm. All right, with that, I got 617 00:39:49,000 --> 00:39:50,600 Speaker 1: my top five lists coming up, and this is a 618 00:39:50,600 --> 00:39:55,640 Speaker 1: fun one. It has to do with my favorite political 619 00:39:55,880 --> 00:39:58,560 Speaker 1: TV shows of the last ten years, because one of 620 00:39:58,600 --> 00:40:00,600 Speaker 1: them is coming back with a new season, so I 621 00:40:00,600 --> 00:40:02,160 Speaker 1: thought it'd be a good time to talk about that. 622 00:40:02,480 --> 00:40:05,879 Speaker 1: I'm going to be taking some questions, but before we'll 623 00:40:05,920 --> 00:40:08,040 Speaker 1: sneak in a break and you will hear from Rita Hart, 624 00:40:08,040 --> 00:40:13,279 Speaker 1: who's the chair of the Iowa Democratic Party on her 625 00:40:13,400 --> 00:40:18,440 Speaker 1: sort of I think in her campaign to get the 626 00:40:18,520 --> 00:40:23,640 Speaker 1: DNC to realize if they don't focus on getting back 627 00:40:23,680 --> 00:40:25,960 Speaker 1: to rural America, somewhere it doesn't have to be Iowa, 628 00:40:26,160 --> 00:40:28,839 Speaker 1: but I better be somewhere. The Democratic Party is not 629 00:40:28,880 --> 00:40:32,160 Speaker 1: going to be a majority party without it. So with that, 630 00:40:32,239 --> 00:40:34,719 Speaker 1: let's sneak in the break when we come back by 631 00:40:34,760 --> 00:40:48,440 Speaker 1: conversation with Rita Heart. Well, joining me now is the 632 00:40:48,640 --> 00:40:53,879 Speaker 1: chair of the Iowa Democratic Party. It's Rita Heart. Some 633 00:40:53,960 --> 00:40:58,440 Speaker 1: of you may remember that name because she is I 634 00:40:58,480 --> 00:41:01,880 Speaker 1: think at this point to participant in what may have 635 00:41:02,000 --> 00:41:05,040 Speaker 1: been the closest house race in American history, and if 636 00:41:05,080 --> 00:41:07,640 Speaker 1: not the closest, it's certainly going to be the top 637 00:41:07,719 --> 00:41:11,760 Speaker 1: five a house race that was decided by six votes 638 00:41:14,600 --> 00:41:18,200 Speaker 1: a few years back. She said, this is arguably politics. 639 00:41:18,239 --> 00:41:20,920 Speaker 1: As her second chapter, she spent the first chapter of 640 00:41:20,920 --> 00:41:24,680 Speaker 1: her professional life teaching in the public school system. Longtime 641 00:41:24,760 --> 00:41:27,600 Speaker 1: Iowan native Iowan, and I appreciate her coming on Prideheart. 642 00:41:27,680 --> 00:41:28,160 Speaker 1: Welcome to the. 643 00:41:28,160 --> 00:41:30,919 Speaker 2: Podcast, Happy to be here, Thanks so much. 644 00:41:31,280 --> 00:41:32,440 Speaker 1: Did I hit the highlights? All right? 645 00:41:33,600 --> 00:41:37,160 Speaker 2: You know, it's not a great claim to fame that 646 00:41:37,239 --> 00:41:40,720 Speaker 2: I was looking for, you know, but it is certainly 647 00:41:40,960 --> 00:41:43,759 Speaker 2: was certainly an experience. I should also mention that my 648 00:41:43,840 --> 00:41:46,279 Speaker 2: husband and I are farmers here in Iowa. I've been well, 649 00:41:46,320 --> 00:41:51,080 Speaker 2: that's tell me what you grow. So we're typical Iowa farmers. 650 00:41:51,120 --> 00:41:55,880 Speaker 2: We growed corn and soybeans. We used to raise cattle 651 00:41:55,880 --> 00:41:59,200 Speaker 2: at hogs, but now are strictly green a little bit 652 00:41:59,200 --> 00:41:59,920 Speaker 2: of hayground. 653 00:42:00,239 --> 00:42:03,800 Speaker 1: So any reason why you don't do hogs and cattle anymore, 654 00:42:03,840 --> 00:42:07,880 Speaker 1: is it just the room, the space, or is it 655 00:42:08,040 --> 00:42:09,200 Speaker 1: financial or what is it? 656 00:42:09,280 --> 00:42:11,920 Speaker 2: Well, I would tell you that you know, there was 657 00:42:12,200 --> 00:42:15,520 Speaker 2: a time when a secretary of eggs said go big 658 00:42:15,600 --> 00:42:18,439 Speaker 2: or go home, particularly for us when it was when 659 00:42:18,480 --> 00:42:21,919 Speaker 2: it was when we were raising hogs, and that wasn't 660 00:42:21,960 --> 00:42:24,400 Speaker 2: a possibility for us at that time. So that's when 661 00:42:24,480 --> 00:42:27,840 Speaker 2: we got out of hogs. And then you know, cattle. 662 00:42:27,880 --> 00:42:31,920 Speaker 2: We had cattle until I went to the state legislature 663 00:42:32,160 --> 00:42:36,640 Speaker 2: and my father in law was going to be home 664 00:42:37,920 --> 00:42:40,680 Speaker 2: raising those cattle, and it was there was some unsafe 665 00:42:40,719 --> 00:42:43,480 Speaker 2: situations there that caused us to make a decision to 666 00:42:44,040 --> 00:42:47,680 Speaker 2: make that our last year with cattle. So you know, 667 00:42:47,920 --> 00:42:50,719 Speaker 2: it's it's a it's an ebb and flow, right. 668 00:42:51,000 --> 00:42:53,880 Speaker 1: And how much of your corn is for consumption and 669 00:42:53,880 --> 00:42:55,959 Speaker 1: how much of your corn is for things like feed 670 00:42:56,000 --> 00:42:58,440 Speaker 1: and stuffing. When I take consumption human consumption things like 671 00:42:58,480 --> 00:43:01,560 Speaker 1: that versus using the corn and for other you know, uh, 672 00:43:02,480 --> 00:43:04,799 Speaker 1: you know how much of your corn gets is for 673 00:43:05,800 --> 00:43:08,480 Speaker 1: other than human consumption direct human consumption? 674 00:43:08,600 --> 00:43:10,520 Speaker 2: Yeah, so you know the way that works is, you know, 675 00:43:10,560 --> 00:43:12,879 Speaker 2: this is field corn. It's not sweet corn. We don't 676 00:43:12,880 --> 00:43:16,799 Speaker 2: eat the corn. We don't and the and we you know, 677 00:43:16,920 --> 00:43:19,600 Speaker 2: we raise the product and send it on, so we 678 00:43:19,640 --> 00:43:21,960 Speaker 2: don't have a lot of control over what happens to 679 00:43:22,040 --> 00:43:24,319 Speaker 2: it from there. But I would tell you that, you know, 680 00:43:24,400 --> 00:43:28,720 Speaker 2: we sell our our corn to eight a m and 681 00:43:28,719 --> 00:43:32,759 Speaker 2: and they converted into many different products. So it so 682 00:43:33,600 --> 00:43:38,719 Speaker 2: you know it it's converted into ethanol, has been given 683 00:43:38,840 --> 00:43:44,080 Speaker 2: lots of uh consternation, but also to dsgs, which which 684 00:43:44,400 --> 00:43:47,800 Speaker 2: feed animals, and so so it's a it's a product 685 00:43:47,880 --> 00:43:52,200 Speaker 2: that has I think eight M they I don't know 686 00:43:52,239 --> 00:43:55,160 Speaker 2: the exact number, but you know there's like thirty seven 687 00:43:55,200 --> 00:43:57,680 Speaker 2: different products that come out of any kernel of corn. 688 00:43:58,239 --> 00:44:00,480 Speaker 1: That's a great stat And I know that more time 689 00:44:00,480 --> 00:44:02,520 Speaker 1: I spent in Iowa, the more I learned some of 690 00:44:02,560 --> 00:44:05,160 Speaker 1: those nuggets. I mean, my grandfather got his start in 691 00:44:05,200 --> 00:44:10,080 Speaker 1: mechanical engineering, designing popcorn plants in Iowa, oh wow, back 692 00:44:10,239 --> 00:44:13,080 Speaker 1: back in the in the fifties. What got him to 693 00:44:13,160 --> 00:44:17,240 Speaker 1: Miami was he got a contract to build sugarcane plants 694 00:44:17,440 --> 00:44:20,879 Speaker 1: in Havana. Oh wow, So he moved his business from 695 00:44:20,920 --> 00:44:24,520 Speaker 1: Waterloo to Miami. That was quite the transition from my 696 00:44:24,600 --> 00:44:27,480 Speaker 1: father and his sister. But let me ask you about soybeans. 697 00:44:27,760 --> 00:44:30,040 Speaker 1: I figure that's actually a nice transition, isn't it to 698 00:44:30,160 --> 00:44:33,440 Speaker 1: our more political discussion, which is what do you do 699 00:44:33,480 --> 00:44:35,680 Speaker 1: with your soybeans if you can't find a buyer. 700 00:44:36,800 --> 00:44:40,120 Speaker 2: Well, then you store them in a bin and or 701 00:44:40,280 --> 00:44:46,000 Speaker 2: you know, as storage becomes less and less possible because 702 00:44:46,040 --> 00:44:49,200 Speaker 2: more and more people are not selling their grain directly, 703 00:44:49,320 --> 00:44:52,200 Speaker 2: then you know, we see things like we've seen in 704 00:44:52,200 --> 00:44:56,759 Speaker 2: the past where people are filling up various different places 705 00:44:56,840 --> 00:45:00,359 Speaker 2: with the grain. But it is a real problem right 706 00:45:00,400 --> 00:45:04,080 Speaker 2: now that we've seen, as we could have predicted, right 707 00:45:04,320 --> 00:45:08,520 Speaker 2: and you know, this is very predictable that when you 708 00:45:08,640 --> 00:45:14,000 Speaker 2: put the kinds of tariffs on China that and when 709 00:45:14,120 --> 00:45:18,239 Speaker 2: China is our largest consumer of soybeans, that that's going 710 00:45:18,320 --> 00:45:20,680 Speaker 2: to be a huge problem. You know, I was in 711 00:45:20,719 --> 00:45:23,880 Speaker 2: the state legislature. The last time this happened in twenty 712 00:45:23,960 --> 00:45:29,000 Speaker 2: sixteen when President Trump first started talking about putting on tariffs, 713 00:45:29,160 --> 00:45:31,719 Speaker 2: and I stood on the Senate floor and said then 714 00:45:31,880 --> 00:45:35,279 Speaker 2: that this has never worked out well for farmers, and 715 00:45:35,360 --> 00:45:38,759 Speaker 2: to be very careful about this because not only is 716 00:45:38,800 --> 00:45:43,240 Speaker 2: that affecting individual farmers in the price that they receive 717 00:45:43,400 --> 00:45:46,239 Speaker 2: and their ability to you know, you can only you 718 00:45:46,320 --> 00:45:48,319 Speaker 2: hang on to grain as long as you can till 719 00:45:48,360 --> 00:45:51,720 Speaker 2: the price goes up and you make a decision to sell, 720 00:45:52,120 --> 00:45:56,120 Speaker 2: but the product deteriorates through that process. 721 00:45:56,160 --> 00:45:58,160 Speaker 1: I was just going to say, how long, you know, 722 00:45:58,280 --> 00:45:59,680 Speaker 1: how long does a crop hold? 723 00:46:00,560 --> 00:46:03,480 Speaker 2: It depends upon your setup. It depends upon you know, 724 00:46:03,520 --> 00:46:05,560 Speaker 2: whether you have the ability to whether you have a 725 00:46:05,600 --> 00:46:08,400 Speaker 2: stir raid or in your bin, whether you're able to 726 00:46:09,120 --> 00:46:11,640 Speaker 2: put air in there, et cetera. Because you've got to 727 00:46:11,719 --> 00:46:17,480 Speaker 2: keep that product as Christine as possible. And and Iowa 728 00:46:17,520 --> 00:46:22,200 Speaker 2: farmers are really good at that. But also people have, 729 00:46:22,960 --> 00:46:25,960 Speaker 2: you know, financial needs. They can only hold on as 730 00:46:26,000 --> 00:46:28,839 Speaker 2: long as they can hold on. So but we know 731 00:46:29,120 --> 00:46:32,960 Speaker 2: that historically it's never ended up well for farmers. And 732 00:46:33,280 --> 00:46:37,359 Speaker 2: in a state like Iowa, where our very economy is 733 00:46:37,400 --> 00:46:42,760 Speaker 2: so egg dependent that has you know, big ramifications as 734 00:46:43,160 --> 00:46:48,840 Speaker 2: people people's incomes are lowered, as as the process itself 735 00:46:49,560 --> 00:46:53,160 Speaker 2: becomes a problem for so many different people who are 736 00:46:53,160 --> 00:46:55,399 Speaker 2: trying to trying to keep this economy going. 737 00:46:55,840 --> 00:46:59,279 Speaker 1: So there's talk of trying to basically what would the 738 00:46:59,320 --> 00:47:02,239 Speaker 1: government inner mentioned, what what what? What is that? What 739 00:47:02,239 --> 00:47:04,080 Speaker 1: did it look like the last time, and what would 740 00:47:04,120 --> 00:47:06,960 Speaker 1: you expect if there was some temporary way to sort 741 00:47:06,960 --> 00:47:10,080 Speaker 1: of make up for the loss in ability to sell 742 00:47:10,120 --> 00:47:12,400 Speaker 1: your soybeans to China? What does that look like? Is 743 00:47:12,440 --> 00:47:15,120 Speaker 1: it a government check, do they buy the product? What 744 00:47:15,239 --> 00:47:17,799 Speaker 1: is it? What is the subsidy specifically? How does it work? 745 00:47:18,400 --> 00:47:20,480 Speaker 2: Yeah, well, you know, first of all, you know, we 746 00:47:21,040 --> 00:47:26,880 Speaker 2: recognize too farmers recognize that that that we're losing these markets. 747 00:47:26,920 --> 00:47:30,600 Speaker 2: So we're we're worried about the fact of what does 748 00:47:30,640 --> 00:47:34,400 Speaker 2: this do for the future. Right when China finds alternative markets, 749 00:47:34,440 --> 00:47:37,239 Speaker 2: as is clear that they have gone to Bolivia, they've 750 00:47:37,239 --> 00:47:42,560 Speaker 2: gone to Argentina teeny excuse me, Argentina. And this happened 751 00:47:42,560 --> 00:47:47,160 Speaker 2: again in the past, and so those brazil for example, 752 00:47:47,239 --> 00:47:52,560 Speaker 2: they totally you know, really focused in on improving the 753 00:47:52,640 --> 00:47:55,279 Speaker 2: amount that they can produce. And so now I believe 754 00:47:55,320 --> 00:47:57,160 Speaker 2: they're number one producer in the country. 755 00:47:57,200 --> 00:48:00,600 Speaker 1: In so they've just a new competitor. Regardless of if 756 00:48:00,640 --> 00:48:02,920 Speaker 1: these barriers go down all of a sudden, let's say 757 00:48:02,920 --> 00:48:06,880 Speaker 1: the tariffs go away. The unfortunate, unintended consequence of this 758 00:48:06,960 --> 00:48:09,640 Speaker 1: trade war is that it is it is allowed Brazil 759 00:48:09,680 --> 00:48:11,760 Speaker 1: to catch up as a competitor, right. 760 00:48:11,680 --> 00:48:15,080 Speaker 2: Correct, Right, And and you know there's there's so many 761 00:48:15,120 --> 00:48:18,480 Speaker 2: workarounds right that cause problems for us. But in the 762 00:48:18,800 --> 00:48:22,160 Speaker 2: what we saw the last time was that this was 763 00:48:22,200 --> 00:48:26,600 Speaker 2: truly going to affect the popularity of this president that 764 00:48:27,600 --> 00:48:31,480 Speaker 2: people are going to and nobody wants to repeat the 765 00:48:31,520 --> 00:48:35,799 Speaker 2: horror of the agg crisis of the eighties, right, And 766 00:48:35,880 --> 00:48:40,680 Speaker 2: so because again it doesn't just affect the people in agriculture, 767 00:48:40,680 --> 00:48:44,920 Speaker 2: it affects the entire Iowa economy. And so yeah, so 768 00:48:45,000 --> 00:48:49,080 Speaker 2: that's why you know, we we received payments government payments 769 00:48:49,120 --> 00:48:52,880 Speaker 2: from and and again last time, you know, they have 770 00:48:52,960 --> 00:48:56,000 Speaker 2: to figure out where those payments come from. And and 771 00:48:56,040 --> 00:49:01,520 Speaker 2: so you've already heard this administration talking about utilizing the 772 00:49:01,920 --> 00:49:05,320 Speaker 2: tariff money to pay it back to the farmers, which 773 00:49:05,520 --> 00:49:11,080 Speaker 2: you know again is and the system tends to weigh 774 00:49:11,080 --> 00:49:14,520 Speaker 2: out in favor of the bigger farmers, right, and so 775 00:49:15,000 --> 00:49:17,920 Speaker 2: there's going to be casualties through a process like this. 776 00:49:19,360 --> 00:49:21,400 Speaker 1: You know, it struck me as I was hearing you 777 00:49:21,680 --> 00:49:25,839 Speaker 1: talk about the impact of tariffs and farmers and the 778 00:49:25,880 --> 00:49:29,320 Speaker 1: fact that there are essentially two sectors arguably politically pitted 779 00:49:29,320 --> 00:49:32,680 Speaker 1: against each other within the state of Iowa, right, the manufacturers, 780 00:49:33,320 --> 00:49:36,160 Speaker 1: the manufacturing base. You know, there's so many counties, particularly 781 00:49:36,200 --> 00:49:42,040 Speaker 1: in eastern Iowa, whose towns were synonymous with the company 782 00:49:42,160 --> 00:49:45,719 Speaker 1: that manufactured a good out of that place, right, whether 783 00:49:45,760 --> 00:49:49,160 Speaker 1: it's Pellow Windows or Pella, Iowa, whether it's you know 784 00:49:49,360 --> 00:49:54,480 Speaker 1: where may Tag once was. And in the manufacturing space, 785 00:49:55,440 --> 00:49:58,600 Speaker 1: there is a lot of support for tariffs across both 786 00:49:58,800 --> 00:50:02,320 Speaker 1: both parties in some ca is right, but it's almost 787 00:50:02,480 --> 00:50:06,279 Speaker 1: universal that it doesn't work in the agricultural space. How 788 00:50:06,280 --> 00:50:08,319 Speaker 1: do you deal with that political tension even in your 789 00:50:08,360 --> 00:50:08,880 Speaker 1: own party? 790 00:50:10,640 --> 00:50:14,080 Speaker 2: Yeah, I mean I think that again, people recognize that. 791 00:50:14,920 --> 00:50:18,040 Speaker 2: And this is the conversation I have, you know, with 792 00:50:18,040 --> 00:50:22,919 Speaker 2: with farmers, is that we all want to hold China accountable. Right, 793 00:50:22,960 --> 00:50:25,440 Speaker 2: That's the that's the phrase that I hear a lot. 794 00:50:25,480 --> 00:50:29,000 Speaker 2: We want to hold China accountable. Well, it's pretty hard 795 00:50:29,080 --> 00:50:33,680 Speaker 2: to hold China accountable when we depend on them. They 796 00:50:33,800 --> 00:50:38,560 Speaker 2: are our partners in this, they're the consumers, and so 797 00:50:39,960 --> 00:50:45,520 Speaker 2: you know, again it's the idea of tariffs again, when 798 00:50:45,520 --> 00:50:49,360 Speaker 2: they are targeted and they make sense and they yield 799 00:50:49,360 --> 00:50:52,640 Speaker 2: to kinds of results you want. I think that's that's 800 00:50:52,760 --> 00:50:57,279 Speaker 2: good economic business, right, But when you can see what's 801 00:50:57,320 --> 00:51:00,239 Speaker 2: happened historically, and when you can see the effect exit 802 00:51:00,320 --> 00:51:02,960 Speaker 2: it's going to have on the markets going forward, I 803 00:51:02,960 --> 00:51:06,240 Speaker 2: think that makes a lot of farmers really really nervous. 804 00:51:07,120 --> 00:51:08,839 Speaker 1: Well, look, I didn't plan to spend this much time 805 00:51:08,840 --> 00:51:11,239 Speaker 1: on that, but you know, I think it's important to 806 00:51:11,320 --> 00:51:14,880 Speaker 1: understand it from somebody who's you know, who's actually a farmer. 807 00:51:15,000 --> 00:51:16,440 Speaker 1: So the fact that you are I thought it was 808 00:51:17,080 --> 00:51:19,240 Speaker 1: in some ways good education for some of my listeners 809 00:51:19,239 --> 00:51:23,080 Speaker 1: who may not be as familiar with with with how 810 00:51:23,120 --> 00:51:26,399 Speaker 1: how the world, how how some of the Iowa economy works. 811 00:51:26,400 --> 00:51:30,799 Speaker 1: So let's talk about I think what may why we 812 00:51:30,840 --> 00:51:32,400 Speaker 1: wanted to talk with you, why you may wanted to 813 00:51:32,400 --> 00:51:34,880 Speaker 1: talk with me, which is sort of I always placed 814 00:51:35,280 --> 00:51:40,759 Speaker 1: in in rebuilding the Democratic Party, and there seems to 815 00:51:40,760 --> 00:51:45,800 Speaker 1: be a debate. I think the debate is less left right, 816 00:51:46,000 --> 00:51:50,959 Speaker 1: it's more about sort of progressive versus pragmatism a little 817 00:51:51,000 --> 00:51:54,080 Speaker 1: bit right, which is sort of what does it take 818 00:51:54,120 --> 00:51:57,000 Speaker 1: to win and can you do so with your principles, 819 00:51:57,040 --> 00:52:01,040 Speaker 1: et cetera. How do you think that fights going inside 820 00:52:01,040 --> 00:52:03,480 Speaker 1: the party these days? And do you accept the premise 821 00:52:03,520 --> 00:52:05,560 Speaker 1: that I frame there? And if you don't, please push back. 822 00:52:06,719 --> 00:52:10,600 Speaker 2: No, absolutely check. I think that is that is paramount 823 00:52:10,640 --> 00:52:14,719 Speaker 2: for us that we know that the Democratic Party as 824 00:52:14,800 --> 00:52:19,080 Speaker 2: a whole in this country has a branding problem, that 825 00:52:19,920 --> 00:52:23,239 Speaker 2: especially here in a state like Iowa, where the. 826 00:52:23,320 --> 00:52:26,080 Speaker 1: National brand has really stained the Iowa brand. Is that 827 00:52:26,080 --> 00:52:26,560 Speaker 1: fair to say? 828 00:52:26,640 --> 00:52:26,680 Speaker 2: That? 829 00:52:26,800 --> 00:52:26,920 Speaker 1: Is? 830 00:52:27,040 --> 00:52:29,360 Speaker 2: That is exactly right? And that's what I You know, 831 00:52:29,440 --> 00:52:31,600 Speaker 2: I have this conversation with folks. I do a lot 832 00:52:31,600 --> 00:52:35,320 Speaker 2: of traveling across the state, talking to folks all across 833 00:52:35,360 --> 00:52:39,920 Speaker 2: the state, and they recognize that, you know, what the 834 00:52:40,040 --> 00:52:44,200 Speaker 2: national Democrats, what people believe about the Democratic Party is 835 00:52:44,320 --> 00:52:48,640 Speaker 2: very much a national picture, which is not what Iowa 836 00:52:48,719 --> 00:52:54,040 Speaker 2: Democrats are about at all. And so the only way 837 00:52:54,080 --> 00:52:57,840 Speaker 2: to fix that, I believe, and I think it's clear, 838 00:52:58,320 --> 00:53:01,640 Speaker 2: is to have conversations with folks so that they recognize 839 00:53:02,000 --> 00:53:05,480 Speaker 2: that the Democrats here in the state of Iowa truly 840 00:53:05,600 --> 00:53:10,080 Speaker 2: are concerned about the state of the condition of people 841 00:53:10,120 --> 00:53:14,560 Speaker 2: being able to get ahead, to be able to afford 842 00:53:15,400 --> 00:53:18,279 Speaker 2: a good life for their kids and for their families 843 00:53:18,400 --> 00:53:21,440 Speaker 2: and for a good future. And right now that is 844 00:53:21,480 --> 00:53:26,200 Speaker 2: a real struggle because Republicans have been in control for 845 00:53:26,239 --> 00:53:30,439 Speaker 2: almost ten years. And what we're seeing is that we're 846 00:53:30,520 --> 00:53:33,879 Speaker 2: forty ninth in the country for economic growths, forty eighth 847 00:53:34,000 --> 00:53:38,400 Speaker 2: for personal income growth, that our education system has slipped 848 00:53:39,160 --> 00:53:44,319 Speaker 2: way down past the middle stroke right, and that right 849 00:53:44,360 --> 00:53:48,319 Speaker 2: now as a result of this big what I call 850 00:53:48,360 --> 00:53:51,839 Speaker 2: the big ugly Lovesy Law, which you know is going 851 00:53:51,880 --> 00:53:57,320 Speaker 2: to really affect our hospitals. And you know, in general, 852 00:53:57,440 --> 00:54:02,160 Speaker 2: the folks that we are having these conversations with are 853 00:54:02,320 --> 00:54:06,040 Speaker 2: rural people, people who live in and so much of 854 00:54:06,080 --> 00:54:10,480 Speaker 2: Iowa is rural, right that these are folks that that 855 00:54:10,560 --> 00:54:14,200 Speaker 2: want that are struggling with the grocery prices that have 856 00:54:14,280 --> 00:54:16,799 Speaker 2: not come down, who are struggling with the fact that 857 00:54:16,840 --> 00:54:20,839 Speaker 2: there that their health care is getting more expensive. And 858 00:54:20,920 --> 00:54:24,120 Speaker 2: again that's why you know right now with his shutdown, 859 00:54:24,200 --> 00:54:29,520 Speaker 2: that the emphasis has to be to really understand this, 860 00:54:29,880 --> 00:54:35,120 Speaker 2: how many people here in Iowa get their their their 861 00:54:35,160 --> 00:54:38,719 Speaker 2: health care through the Affordable Care Act, and that November one, 862 00:54:39,000 --> 00:54:43,440 Speaker 2: These premiums are going up, and as a result, again 863 00:54:44,080 --> 00:54:50,400 Speaker 2: childcare is more less affordable and less accessible. Our hospitals 864 00:54:50,440 --> 00:54:53,880 Speaker 2: are being threatened that maybe, you know, maybe some of 865 00:54:53,880 --> 00:54:56,360 Speaker 2: them will close, maybe a lot of them will have 866 00:54:56,440 --> 00:54:59,800 Speaker 2: to have to reduce their services. People are going to 867 00:54:59,840 --> 00:55:02,520 Speaker 2: have to drive farther to get the health care that 868 00:55:02,560 --> 00:55:06,640 Speaker 2: they desperately need, and as a result, people are gonna Already, 869 00:55:06,800 --> 00:55:09,960 Speaker 2: our rural areas are shelling out right. More and more 870 00:55:10,000 --> 00:55:13,560 Speaker 2: people are finding it harder and harder to live in 871 00:55:13,760 --> 00:55:17,719 Speaker 2: really really nice places in Iowa. You know, you know, 872 00:55:18,160 --> 00:55:21,719 Speaker 2: you know right now, I'm sitting here outside of this 873 00:55:21,719 --> 00:55:24,760 Speaker 2: this little tiny town of Big Rock and a little 874 00:55:24,760 --> 00:55:27,840 Speaker 2: bit bigger town of Wheatland, and this is a great 875 00:55:27,880 --> 00:55:30,839 Speaker 2: place to live. But you can't live here if you 876 00:55:30,880 --> 00:55:34,680 Speaker 2: don't have access to healthcare, if it if it's if 877 00:55:34,719 --> 00:55:38,000 Speaker 2: you can't find childcare for your children, or if it's 878 00:55:38,040 --> 00:55:42,640 Speaker 2: too expensive. So and people are willing to drive, you know, 879 00:55:42,800 --> 00:55:46,400 Speaker 2: to get these services, but they know that there's a 880 00:55:46,480 --> 00:55:49,520 Speaker 2: limit to where it doesn't make sense anymore. And that's 881 00:55:49,560 --> 00:55:53,400 Speaker 2: why we're seeing so many people leaving the rural areas 882 00:55:53,480 --> 00:55:56,880 Speaker 2: and moving to the city. That's a that's a loss 883 00:55:56,920 --> 00:55:58,120 Speaker 2: for Iowa itself. 884 00:55:58,640 --> 00:56:01,000 Speaker 1: When I think about sort of what's happened to the 885 00:56:01,040 --> 00:56:04,400 Speaker 1: Democratic Party over the last decade basically post Obama, I 886 00:56:04,840 --> 00:56:08,760 Speaker 1: do think Iowa is the is the best place to start, 887 00:56:08,920 --> 00:56:12,480 Speaker 1: because there's no state that has more Obama to Trump 888 00:56:12,520 --> 00:56:16,680 Speaker 1: counties than Iowa. So if you're going to really figure 889 00:56:16,719 --> 00:56:20,799 Speaker 1: out the brand problem, you know, how did the Democratic 890 00:56:20,840 --> 00:56:24,400 Speaker 1: Party who had a guy named Barack Hussein Obama right 891 00:56:24,480 --> 00:56:26,279 Speaker 1: who people would have said, oh, there's no chance he's 892 00:56:26,280 --> 00:56:28,640 Speaker 1: going to be able to do well in rural America. 893 00:56:28,680 --> 00:56:31,120 Speaker 1: He did really well in rural America. He did really well. 894 00:56:31,120 --> 00:56:34,560 Speaker 1: It carried Iowa twice, but it went just Iowa carried 895 00:56:34,560 --> 00:56:37,480 Speaker 1: Ohio twice. He carried some states that the Democrats no 896 00:56:37,520 --> 00:56:39,799 Speaker 1: longer think is competitive and actually want to walk away 897 00:56:39,840 --> 00:56:43,360 Speaker 1: from right Florida, Iowa, Ohio, all three. In some ways 898 00:56:43,440 --> 00:56:46,319 Speaker 1: you hear major party leaders going, I don't bother those 899 00:56:46,360 --> 00:56:50,880 Speaker 1: states are gone. You lived it. You saw these counties 900 00:56:50,920 --> 00:56:53,560 Speaker 1: go from Obama to Trump. Put it in your words, 901 00:56:54,760 --> 00:56:57,239 Speaker 1: these are your neighbors. Why do you think they went 902 00:56:57,239 --> 00:57:00,759 Speaker 1: from Obama to Trump? And couldn't you know like they 903 00:57:00,800 --> 00:57:02,960 Speaker 1: were they were sort of had I don't. Did they 904 00:57:03,040 --> 00:57:04,319 Speaker 1: give up on the Democrats? 905 00:57:05,239 --> 00:57:05,359 Speaker 2: Uh? 906 00:57:06,080 --> 00:57:09,240 Speaker 1: Or was it they were just looking for something different? 907 00:57:10,480 --> 00:57:13,160 Speaker 2: Well, I think there was lots of factors and and 908 00:57:13,520 --> 00:57:17,840 Speaker 2: you know, the the lots and lots of smarter people 909 00:57:17,840 --> 00:57:20,240 Speaker 2: than I have. Fundits have really you know, looked. 910 00:57:20,040 --> 00:57:22,360 Speaker 1: At would you live there? I don't think any pundit 911 00:57:22,360 --> 00:57:24,720 Speaker 1: could do it. You live there, you have the personal stories, 912 00:57:24,720 --> 00:57:26,280 Speaker 1: you know, these are your friends and neighbors. 913 00:57:26,600 --> 00:57:30,439 Speaker 2: Yeah. So, you know, I think, for one thing, there 914 00:57:30,520 --> 00:57:33,720 Speaker 2: used to be a time here in Iowa where we 915 00:57:33,880 --> 00:57:39,840 Speaker 2: concentrated totally on local news and local candidates and talking 916 00:57:39,840 --> 00:57:43,720 Speaker 2: about the things that actually, you know, directly affect people. 917 00:57:44,360 --> 00:57:48,960 Speaker 2: And then somehow that switched and now it's really hard 918 00:57:49,160 --> 00:57:51,720 Speaker 2: for people to get the local news there. 919 00:57:52,360 --> 00:57:55,560 Speaker 1: Because you say it as a local information ecosystem problem. 920 00:57:55,600 --> 00:57:57,760 Speaker 2: I think that's one big part of it. Right, They're 921 00:57:57,840 --> 00:58:00,439 Speaker 2: getting the national message and all of a sudden that 922 00:58:00,640 --> 00:58:02,680 Speaker 2: is trumping everything else. 923 00:58:03,200 --> 00:58:06,320 Speaker 1: All politics has become all local politics is national? Now? 924 00:58:06,560 --> 00:58:07,600 Speaker 1: Is that happening a lot more? 925 00:58:07,680 --> 00:58:12,080 Speaker 2: It's it's much more national oriented than it ever used 926 00:58:12,120 --> 00:58:18,400 Speaker 2: to be. And so that disconnect between what Iowa Democrats 927 00:58:18,600 --> 00:58:22,080 Speaker 2: are working for and understand as being important to the 928 00:58:22,080 --> 00:58:26,320 Speaker 2: people who live in this state suddenly became you know, 929 00:58:26,520 --> 00:58:31,000 Speaker 2: not what people came to believe about Iowa Democrats, and 930 00:58:31,000 --> 00:58:34,880 Speaker 2: and that was difficult. That's difficult for us to you know, 931 00:58:34,960 --> 00:58:39,200 Speaker 2: switch away. Also because so many people, you know, Fox 932 00:58:39,280 --> 00:58:44,480 Speaker 2: News is you know a huge, huge influence here in 933 00:58:44,480 --> 00:58:44,960 Speaker 2: this state. 934 00:58:56,400 --> 00:58:58,880 Speaker 1: They replace local news. 935 00:58:59,280 --> 00:59:04,960 Speaker 2: Absolutely right, and our local newspapers, our local radio stations, 936 00:59:05,360 --> 00:59:09,960 Speaker 2: they've been bought up by conservative entities. There's fewer newspapers. 937 00:59:10,240 --> 00:59:13,440 Speaker 2: Newspapers are having a harder time surviving, so there's less 938 00:59:13,960 --> 00:59:19,520 Speaker 2: actual political reporting going on. People have to subscribe to 939 00:59:19,600 --> 00:59:23,360 Speaker 2: things that cost money, so they're not necessarily getting that 940 00:59:23,440 --> 00:59:24,280 Speaker 2: kind of information. 941 00:59:24,520 --> 00:59:27,040 Speaker 1: I worry about these paywalls that news junkies will always 942 00:59:27,040 --> 00:59:29,040 Speaker 1: find a way to be informed. The question is what 943 00:59:29,120 --> 00:59:29,959 Speaker 1: about everybody else? 944 00:59:30,600 --> 00:59:34,040 Speaker 2: Right, right, So there's so many challenges here that I 945 00:59:34,080 --> 00:59:38,320 Speaker 2: don't know that you know that that we were it 946 00:59:38,400 --> 00:59:41,640 Speaker 2: was the ground was shifting underneath our feet. And I 947 00:59:41,640 --> 00:59:45,080 Speaker 2: think that's part of why we, you know, we we 948 00:59:45,280 --> 00:59:49,320 Speaker 2: just need to have these conversations so that people can 949 00:59:49,480 --> 00:59:55,720 Speaker 2: understand that, right, understand what why it's really important to 950 00:59:55,880 --> 00:59:59,400 Speaker 2: seek out this local news, Why it's important to have 951 00:59:59,480 --> 01:00:02,280 Speaker 2: conversation and the other thing is, you know, at the 952 01:00:02,360 --> 01:00:06,640 Speaker 2: national level, things became so divided, and that eked out 953 01:00:06,680 --> 01:00:10,040 Speaker 2: to all of the states, and it's really affected people's 954 01:00:10,200 --> 01:00:13,840 Speaker 2: ability to you know, in the end, I really think 955 01:00:13,920 --> 01:00:17,560 Speaker 2: that most people have decided they don't want anything to 956 01:00:17,600 --> 01:00:21,240 Speaker 2: do with either party. They don't like politics. It's nasty, 957 01:00:21,320 --> 01:00:23,880 Speaker 2: they don't like it. But they all have an opinion, 958 01:00:24,400 --> 01:00:29,040 Speaker 2: and they all and the vast majority, especially here in Iowa. 959 01:00:29,160 --> 01:00:33,760 Speaker 2: Iowa people really really take it their politics seriously, as 960 01:00:33,800 --> 01:00:36,760 Speaker 2: in it's a civic responsibility. So they want to go 961 01:00:36,800 --> 01:00:39,120 Speaker 2: to the polls, they want to vote, and they don't 962 01:00:39,160 --> 01:00:43,200 Speaker 2: want to they want to be educated about that vote. 963 01:00:43,320 --> 01:00:47,600 Speaker 2: And so it's it's so that division has caused them 964 01:00:47,640 --> 01:00:51,600 Speaker 2: to stop talking to people and having a reasonable conversation 965 01:00:52,160 --> 01:00:55,680 Speaker 2: and recognizing that, you know, maybe what I'm hearing or 966 01:00:55,720 --> 01:00:59,400 Speaker 2: what I'm reading is not the exact and the exact truth. 967 01:00:59,480 --> 01:01:02,560 Speaker 2: And I think that's really a big problem for folks. 968 01:01:02,560 --> 01:01:05,360 Speaker 2: They're trying to figure out what the truth is and 969 01:01:05,400 --> 01:01:08,000 Speaker 2: it's not so easy to find it's not so easy 970 01:01:08,200 --> 01:01:11,000 Speaker 2: to be confident that you're that you're getting to the truth. 971 01:01:11,920 --> 01:01:14,080 Speaker 1: How do you think the National Party is doing right now? 972 01:01:15,360 --> 01:01:18,920 Speaker 2: I think this is a really challenging time for Ken 973 01:01:18,960 --> 01:01:23,160 Speaker 2: Martin and the National Party. I think that again, they're 974 01:01:23,720 --> 01:01:30,440 Speaker 2: they're fighting against a real effort to frame the Democratic 975 01:01:30,480 --> 01:01:33,720 Speaker 2: Party in a way that is not indicative of the 976 01:01:34,120 --> 01:01:38,360 Speaker 2: of the average Democrat across the country. So I think 977 01:01:38,400 --> 01:01:42,160 Speaker 2: that that that they are, that they're in transition. And 978 01:01:42,200 --> 01:01:44,520 Speaker 2: this is what again I tell folks as we travel 979 01:01:44,560 --> 01:01:49,200 Speaker 2: across the state, where we have got to identify ourselves 980 01:01:49,240 --> 01:01:52,480 Speaker 2: as Iowa Democrats and what our priorities are and and 981 01:01:52,640 --> 01:01:55,600 Speaker 2: talk about these kitchen table issues. We cannot wait for 982 01:01:55,680 --> 01:01:59,640 Speaker 2: the Democratic Party to get their act together and lead 983 01:01:59,720 --> 01:02:03,120 Speaker 2: us out of this this situation we're in. We've got 984 01:02:03,120 --> 01:02:05,840 Speaker 2: to be our own leaders to do that. And I'm 985 01:02:05,880 --> 01:02:07,960 Speaker 2: excited about that right now. I think we're in a 986 01:02:08,000 --> 01:02:09,120 Speaker 2: good position to do that. 987 01:02:09,560 --> 01:02:11,919 Speaker 1: Well. You know, sometimes when you're you're at a low point, 988 01:02:11,920 --> 01:02:13,880 Speaker 1: it's almost more exciting to be a part of you know, 989 01:02:13,960 --> 01:02:15,360 Speaker 1: right because there's only what place to go. 990 01:02:16,240 --> 01:02:19,280 Speaker 2: Well, And I think that you know, when when President 991 01:02:19,320 --> 01:02:21,920 Speaker 2: Trump came in at the beginning of this, uh, this 992 01:02:21,920 --> 01:02:26,120 Speaker 2: this administrative go around, he really came in with this 993 01:02:26,240 --> 01:02:30,840 Speaker 2: shock and awe. And what happened then was Democrats got 994 01:02:30,960 --> 01:02:35,959 Speaker 2: very alarmed, and they they were scared, they were surprised, 995 01:02:36,120 --> 01:02:41,640 Speaker 2: they were concerned, and so they got activated. And so 996 01:02:41,920 --> 01:02:44,680 Speaker 2: like you know, right now, we've got so many good 997 01:02:44,800 --> 01:02:48,160 Speaker 2: candidates running for so many different things. We've got more 998 01:02:48,240 --> 01:02:52,160 Speaker 2: volunteers signed up at this point than we've had for 999 01:02:52,200 --> 01:02:56,200 Speaker 2: a long long time. And and people are they've been 1000 01:02:56,240 --> 01:02:59,000 Speaker 2: showing up, they've been speaking up, they've been standing up. 1001 01:02:59,120 --> 01:03:01,959 Speaker 2: You know, we've they've gone to these they're still going 1002 01:03:01,960 --> 01:03:05,400 Speaker 2: to rallies. There's rallies going on nearly every weekend all 1003 01:03:05,400 --> 01:03:10,840 Speaker 2: across the state. And they've been demanding better representation from 1004 01:03:10,960 --> 01:03:15,200 Speaker 2: their congressional representatives. They've been demanding the town halls. They 1005 01:03:15,240 --> 01:03:19,640 Speaker 2: haven't been getting them, but directing them. And and they're 1006 01:03:19,760 --> 01:03:23,560 Speaker 2: very knowledgeable for that reason, they're they really want to know, 1007 01:03:24,000 --> 01:03:26,440 Speaker 2: you know what, some what who's going to do something 1008 01:03:26,480 --> 01:03:30,440 Speaker 2: about this? And as a result, now we've got terrific candidates. 1009 01:03:30,440 --> 01:03:33,760 Speaker 2: We've got a real shot at the governorship. I think 1010 01:03:33,840 --> 01:03:38,120 Speaker 2: that's that's going to be a huge, huge goal for 1011 01:03:38,240 --> 01:03:41,240 Speaker 2: us here in Iowa this time. And we've got four 1012 01:03:41,320 --> 01:03:45,800 Speaker 2: congressional districts and we've got primaries in all four. Again, 1013 01:03:45,840 --> 01:03:46,680 Speaker 2: I think that's healthy. 1014 01:03:46,680 --> 01:03:49,600 Speaker 1: The primary primary park. Does that a sign of health 1015 01:03:49,680 --> 01:03:51,959 Speaker 1: or a sign of of of. 1016 01:03:54,600 --> 01:04:00,840 Speaker 2: Yeah, yeah, I think in this case that's case. I 1017 01:04:00,840 --> 01:04:04,200 Speaker 2: think it's a real sign of health. These are really 1018 01:04:04,320 --> 01:04:05,600 Speaker 2: really good candidates. 1019 01:04:05,680 --> 01:04:07,800 Speaker 1: So would you tell the d SEC don't try to 1020 01:04:08,000 --> 01:04:11,480 Speaker 1: pick somebody off here, don't push people out, let be Yeah. 1021 01:04:11,520 --> 01:04:15,320 Speaker 2: I think primaries are really important time for people to 1022 01:04:16,320 --> 01:04:19,760 Speaker 2: really give a good idea of who can succeed. It's 1023 01:04:19,760 --> 01:04:22,000 Speaker 2: the same thing I think with you know, you know 1024 01:04:23,320 --> 01:04:26,320 Speaker 2: presidential candidates have been coming in here already. You know, 1025 01:04:26,920 --> 01:04:30,120 Speaker 2: I really think all eyes are on Iowa, partly because 1026 01:04:30,480 --> 01:04:35,320 Speaker 2: we've done so well in our special elections, and people 1027 01:04:35,520 --> 01:04:38,120 Speaker 2: the candidates know that that if they can win in 1028 01:04:38,160 --> 01:04:41,520 Speaker 2: a place like Iowa, that's the kind of candidate that 1029 01:04:41,600 --> 01:04:44,160 Speaker 2: can win across the nation. And that's what I think 1030 01:04:44,280 --> 01:04:47,320 Speaker 2: about about these congressional candidates as well. 1031 01:04:47,640 --> 01:04:50,160 Speaker 1: I had a viewer chime in with something and it 1032 01:04:50,360 --> 01:04:53,280 Speaker 1: struck me that you might be familiar with this kind 1033 01:04:53,280 --> 01:04:56,080 Speaker 1: of strategy, which is how come the state parties don't 1034 01:04:56,520 --> 01:05:01,360 Speaker 1: independently rebrand was sort of was was this person's argument, 1035 01:05:01,400 --> 01:05:05,280 Speaker 1: And I said, well, actually, Minnesota for a long time there, 1036 01:05:05,320 --> 01:05:07,280 Speaker 1: you know, they took pride in the fact that they 1037 01:05:07,280 --> 01:05:10,680 Speaker 1: weren't a Minnesota Democratic Party. They were the Democratic Farm 1038 01:05:10,760 --> 01:05:13,240 Speaker 1: Labor Party. You're your neighbor to the north there. And 1039 01:05:13,320 --> 01:05:16,400 Speaker 1: the Republican Party wasn't the Minnesota Republican Party. They were 1040 01:05:16,440 --> 01:05:21,080 Speaker 1: the independent Republican Party of Minnesota. And it was that 1041 01:05:21,280 --> 01:05:23,560 Speaker 1: was on purpose. It was a way to say, hey, no, 1042 01:05:23,680 --> 01:05:27,200 Speaker 1: we're this is the Minnesota branded party. It is not 1043 01:05:27,920 --> 01:05:32,320 Speaker 1: just simply a local chapter of a national party. And 1044 01:05:33,040 --> 01:05:35,360 Speaker 1: I think about that when Rob sand was on my 1045 01:05:35,640 --> 01:05:38,600 Speaker 1: podcast right when he announced me, and I said, you know, 1046 01:05:38,600 --> 01:05:41,200 Speaker 1: because he was really emphasizing his independent credentials, and I said, 1047 01:05:41,200 --> 01:05:43,439 Speaker 1: why why didn't you run as an independent? He says, well, look, 1048 01:05:43,760 --> 01:05:46,720 Speaker 1: there's two parties and he said, so you know there's 1049 01:05:46,800 --> 01:05:48,480 Speaker 1: you know, if I thought there was another way to run, 1050 01:05:48,480 --> 01:05:50,280 Speaker 1: I might find any other way to run. But this 1051 01:05:50,360 --> 01:05:53,360 Speaker 1: is this is the way to go. Have you thought 1052 01:05:53,360 --> 01:05:55,600 Speaker 1: about that? Is there is there a rebranding of the 1053 01:05:56,200 --> 01:05:58,960 Speaker 1: Because you essentially are making the case that an Iowa 1054 01:05:59,000 --> 01:06:02,720 Speaker 1: Democrat is different than national Democrat. How do you convince 1055 01:06:02,960 --> 01:06:04,680 Speaker 1: how do you convince more islands of that? 1056 01:06:05,000 --> 01:06:11,160 Speaker 2: I would say that an Iowa Democratic Democrat is different 1057 01:06:11,200 --> 01:06:16,040 Speaker 2: than what people believe to be true about National Democrats, right, 1058 01:06:16,520 --> 01:06:20,560 Speaker 2: And so you know, maybe I'm naive. You know, I've 1059 01:06:20,600 --> 01:06:22,600 Speaker 2: only been doing this job for two and a half years, 1060 01:06:22,600 --> 01:06:25,040 Speaker 2: I've been in politics for a while. I tend to 1061 01:06:25,080 --> 01:06:29,440 Speaker 2: be half the glasses half full kind of person. But 1062 01:06:29,520 --> 01:06:33,120 Speaker 2: I really think I'm really, really, really strong that we 1063 01:06:33,280 --> 01:06:39,720 Speaker 2: have got to strengthen this party completely and that and 1064 01:06:39,760 --> 01:06:43,600 Speaker 2: that the things that we stick up for, for working families, 1065 01:06:43,960 --> 01:06:49,360 Speaker 2: for trying to help people get ahead, for healthcare as 1066 01:06:49,400 --> 01:06:53,560 Speaker 2: a human right, these are things that that will make 1067 01:06:53,600 --> 01:06:56,720 Speaker 2: the world a better place. And so that's why I'm 1068 01:06:56,880 --> 01:07:01,680 Speaker 2: all about strengthening the entire Democratic Party, but doing that 1069 01:07:01,920 --> 01:07:05,040 Speaker 2: through the lens of Iowa, because I think that this 1070 01:07:05,240 --> 01:07:07,960 Speaker 2: is a place where you can do that with common sense, 1071 01:07:08,560 --> 01:07:12,480 Speaker 2: with with talking across the aisle, with working with people 1072 01:07:12,520 --> 01:07:16,200 Speaker 2: of all stripes. That's why, Dan, I'm thrilled that we 1073 01:07:16,320 --> 01:07:19,960 Speaker 2: have so many candidates up and down the tickets so 1074 01:07:20,120 --> 01:07:23,160 Speaker 2: far that will appeal to Democrats, but they will also 1075 01:07:23,200 --> 01:07:27,280 Speaker 2: appeal to independence and reasonable Republicans. That's how we build 1076 01:07:27,440 --> 01:07:29,760 Speaker 2: a strong party, but it's also how we build a 1077 01:07:29,800 --> 01:07:31,439 Speaker 2: strong state and a strong nation. 1078 01:07:32,080 --> 01:07:33,680 Speaker 1: No no, And that's how you can get a bench back. 1079 01:07:34,400 --> 01:07:36,760 Speaker 1: You know there has been a conservative. You know, not 1080 01:07:36,840 --> 01:07:39,360 Speaker 1: everybody has the last name of ill Sac And I 1081 01:07:39,400 --> 01:07:41,600 Speaker 1: say this with all due respect to the vill Sacks. 1082 01:07:41,600 --> 01:07:43,200 Speaker 1: They've been I know they've been very good to the 1083 01:07:43,240 --> 01:07:45,840 Speaker 1: Iowa Democratic Party. But you got to sort of move on, right, 1084 01:07:45,880 --> 01:07:47,320 Speaker 1: you know, you've got to be able to have a bench. 1085 01:07:47,680 --> 01:07:49,960 Speaker 1: Let me ask this, give me what are the what 1086 01:07:50,000 --> 01:07:52,280 Speaker 1: are the issues to lean in on that you think 1087 01:07:52,720 --> 01:07:56,000 Speaker 1: brands an Iowa Democrat And what are the issues to 1088 01:07:56,080 --> 01:07:59,080 Speaker 1: sort of lean lean out on and you know, be 1089 01:07:59,160 --> 01:08:02,440 Speaker 1: a bigger tent. You know, that shouldn't be a purity 1090 01:08:02,520 --> 01:08:05,120 Speaker 1: test to be a Democrat and I have a Democrat. 1091 01:08:05,840 --> 01:08:08,880 Speaker 2: No, I think that the issues are very clear. It's 1092 01:08:08,880 --> 01:08:13,800 Speaker 2: got it's it's totally the economy, right, It's it's people 1093 01:08:14,200 --> 01:08:18,760 Speaker 2: being able to It's the affordability of living anymore, right, 1094 01:08:18,800 --> 01:08:23,280 Speaker 2: because costs are going up everywhere. You know, in addition 1095 01:08:23,439 --> 01:08:27,000 Speaker 2: to the grocery store and the and the healthcare costs, 1096 01:08:27,760 --> 01:08:30,760 Speaker 2: electricity costs are going up and are going to go 1097 01:08:30,960 --> 01:08:35,559 Speaker 2: up further. These are things that really make life, day 1098 01:08:35,640 --> 01:08:38,559 Speaker 2: to day life really tough for people. So yeah, we've 1099 01:08:38,600 --> 01:08:43,240 Speaker 2: got to talk about talk about affordability and and how 1100 01:08:43,320 --> 01:08:46,960 Speaker 2: working families can get ahead because the wages are not 1101 01:08:47,160 --> 01:08:50,400 Speaker 2: rising at the same level as as the costs are 1102 01:08:50,439 --> 01:08:54,840 Speaker 2: going up. That's a big disconnect. And so that's that's 1103 01:08:55,400 --> 01:08:57,960 Speaker 2: in there, and there's so many issues other other issues. 1104 01:08:58,360 --> 01:09:01,439 Speaker 2: For instance, I think the other two issues that we 1105 01:09:02,000 --> 01:09:04,120 Speaker 2: have to be talking about a lot and listening to 1106 01:09:04,200 --> 01:09:08,759 Speaker 2: folks for solutions is in healthcare, and is and in education. 1107 01:09:09,320 --> 01:09:13,000 Speaker 2: But each of those affect people's bottom line as well. 1108 01:09:13,240 --> 01:09:17,559 Speaker 2: Right when people understand how they can get an education 1109 01:09:17,680 --> 01:09:21,880 Speaker 2: that gets them a better paycheck, that's the kinds of 1110 01:09:21,920 --> 01:09:25,120 Speaker 2: things that we've got to prioritize. And when the costs 1111 01:09:25,160 --> 01:09:29,360 Speaker 2: of health care continue to rise, that makes things so 1112 01:09:29,640 --> 01:09:32,639 Speaker 2: tough for families. So we've got to be way leaning 1113 01:09:32,680 --> 01:09:35,839 Speaker 2: in on all of those those issues. And that seems 1114 01:09:35,880 --> 01:09:39,439 Speaker 2: like a whole lot to me. But and then as 1115 01:09:39,439 --> 01:09:43,400 Speaker 2: far as anything else is concerned, I think again, we've 1116 01:09:43,439 --> 01:09:47,519 Speaker 2: got to have real conversations with people and make that 1117 01:09:48,360 --> 01:09:53,519 Speaker 2: those conversations more about listening and less about telling, and 1118 01:09:53,760 --> 01:09:58,400 Speaker 2: quit dividing people and making people and us versus them 1119 01:09:58,640 --> 01:10:02,920 Speaker 2: on issues that really matter to families, right, you know, 1120 01:10:03,160 --> 01:10:06,880 Speaker 2: about having to do with inclusion, having to do with 1121 01:10:06,880 --> 01:10:11,320 Speaker 2: with how to how to handle some issues that have 1122 01:10:11,520 --> 01:10:15,599 Speaker 2: really divided us. We've got to we've got to talk 1123 01:10:15,640 --> 01:10:20,240 Speaker 2: about that compassionately and and be a listener rather than 1124 01:10:20,360 --> 01:10:21,400 Speaker 2: so much of a teller. 1125 01:10:22,640 --> 01:10:24,599 Speaker 1: Look, I think you're referring to some of the cultural issues, 1126 01:10:24,640 --> 01:10:28,559 Speaker 1: some of the school issues, uh, trans kids things like this, 1127 01:10:29,360 --> 01:10:32,560 Speaker 1: which are you know, one percent two percent of the population. 1128 01:10:32,680 --> 01:10:36,360 Speaker 1: I get that. At the same time, that becomes definitional 1129 01:10:36,400 --> 01:10:41,040 Speaker 1: culturally right, and it doesn't. It's funny the way these 1130 01:10:41,040 --> 01:10:45,160 Speaker 1: issues work in a community. Everybody there's there's nuance and empathy. 1131 01:10:45,240 --> 01:10:48,479 Speaker 1: When people focus on, Hey, did you know the Jones 1132 01:10:48,520 --> 01:10:53,639 Speaker 1: family's situation, Well, everybody understands the Jones family situation. When 1133 01:10:53,640 --> 01:10:56,360 Speaker 1: it gets weaponized as some sort of two dimensional thing 1134 01:10:57,040 --> 01:11:02,400 Speaker 1: on a national level, people sometimes go to their partisan corners. 1135 01:11:02,640 --> 01:11:05,719 Speaker 2: Yeah, it doesn't. It shouldn't be so black and white, 1136 01:11:05,760 --> 01:11:08,280 Speaker 2: because you know, the Republican Party is always going to 1137 01:11:08,280 --> 01:11:11,600 Speaker 2: stick up for people's rights. People have the right to 1138 01:11:11,720 --> 01:11:13,960 Speaker 2: live the lives that they choose to live. 1139 01:11:14,320 --> 01:11:16,760 Speaker 1: Should the Democratic Party always stick up for people's rights 1140 01:11:16,760 --> 01:11:18,360 Speaker 1: to I mean, it was interesting the way you just 1141 01:11:18,400 --> 01:11:18,760 Speaker 1: put that. 1142 01:11:18,840 --> 01:11:20,639 Speaker 2: I just is it say it again? 1143 01:11:20,720 --> 01:11:22,600 Speaker 1: What you said the Republican Party was. 1144 01:11:22,880 --> 01:11:25,599 Speaker 2: Sorry, did I No, the Democrat I am sorry if 1145 01:11:25,600 --> 01:11:30,920 Speaker 2: I said, Okay, that was not what I wanted to say. Jack, Okay, 1146 01:11:30,960 --> 01:11:33,680 Speaker 2: So the Democratic Party is always going to stick up 1147 01:11:33,720 --> 01:11:37,120 Speaker 2: for people's rights, right, that is, that is just something 1148 01:11:37,160 --> 01:11:39,400 Speaker 2: that we believe in and we and I think that, 1149 01:11:39,920 --> 01:11:44,960 Speaker 2: you know, reasonable people recognize that, you know what, people 1150 01:11:45,080 --> 01:11:47,720 Speaker 2: have the ability to live the lives they want to live, 1151 01:11:48,120 --> 01:11:51,760 Speaker 2: and maybe you have a strong opinion about that they're 1152 01:11:51,800 --> 01:11:56,040 Speaker 2: not doing it correctly or whatever. But leave them alone. 1153 01:11:56,160 --> 01:11:58,080 Speaker 2: Let them make their own decisions, right. 1154 01:11:58,120 --> 01:12:00,559 Speaker 1: Sounds like the Iowa upbringing that I I always say 1155 01:12:00,560 --> 01:12:02,559 Speaker 1: I got while in Miami. It was sort of like 1156 01:12:02,640 --> 01:12:06,080 Speaker 1: to mind your the Midwestern Methodist was, you know, didn't 1157 01:12:06,080 --> 01:12:08,920 Speaker 1: tell anybody else how to how to believe. They knew 1158 01:12:08,920 --> 01:12:10,800 Speaker 1: how to believe in God. What can I tell you 1159 01:12:10,800 --> 01:12:12,120 Speaker 1: how you should believe in God? You know? 1160 01:12:12,360 --> 01:12:14,960 Speaker 2: Right? Yeah, I think we've lost a lot of that 1161 01:12:15,200 --> 01:12:19,720 Speaker 2: and people have become, you know, again trying to make 1162 01:12:19,760 --> 01:12:24,519 Speaker 2: political points rather than really looking at what would make 1163 01:12:24,560 --> 01:12:25,479 Speaker 2: the world a better place. 1164 01:12:25,560 --> 01:12:27,480 Speaker 1: Let me ask the most to me, the most complicated 1165 01:12:27,520 --> 01:12:30,600 Speaker 1: one of these issues that do divide is immigration. Because 1166 01:12:30,760 --> 01:12:34,519 Speaker 1: the labor is necessary for many of these many of 1167 01:12:34,520 --> 01:12:38,639 Speaker 1: the Iowa communities. Right, there's immigrant labor at these meat 1168 01:12:38,680 --> 01:12:44,120 Speaker 1: packing plants and certainly in other parts of the agricultural business. 1169 01:12:46,680 --> 01:12:49,439 Speaker 1: At the same time, there's concern about law and order 1170 01:12:49,600 --> 01:12:54,320 Speaker 1: and security and all of those things. What's the best 1171 01:12:54,360 --> 01:12:56,960 Speaker 1: way for Democrats to be talking about immigration in your opinion? 1172 01:12:58,280 --> 01:13:01,480 Speaker 2: Well, again, I think that we've been pitch hold and 1173 01:13:01,479 --> 01:13:03,960 Speaker 2: and uh. And I would tell you that a lot 1174 01:13:03,960 --> 01:13:08,040 Speaker 2: of people believe that Democrats are for open borders, and 1175 01:13:08,080 --> 01:13:11,240 Speaker 2: that just is doesn't make any sense to me. Right, 1176 01:13:12,360 --> 01:13:15,800 Speaker 2: in order to have a country that operates well, you 1177 01:13:15,920 --> 01:13:20,040 Speaker 2: have to have you have to have border control that 1178 01:13:20,040 --> 01:13:25,200 Speaker 2: that makes sense, that you know is in the country's 1179 01:13:25,240 --> 01:13:31,040 Speaker 2: best interest. And so I think that again, we know 1180 01:13:31,280 --> 01:13:39,600 Speaker 2: that that that border issues and immigration issues have have 1181 01:13:39,760 --> 01:13:47,240 Speaker 2: been building up and not being addressed for many many administrations. Right, 1182 01:13:47,360 --> 01:13:50,160 Speaker 2: that this is not something that just happened over the 1183 01:13:50,280 --> 01:13:53,040 Speaker 2: last few years. It's been going on for a long time. 1184 01:13:53,640 --> 01:13:57,040 Speaker 2: And we've got to get to a place where, again 1185 01:13:57,600 --> 01:14:02,320 Speaker 2: across Aisle, across we've got to get Republicans and Democrats 1186 01:14:02,560 --> 01:14:08,160 Speaker 2: to recognize that this country needs good border control, but 1187 01:14:08,240 --> 01:14:14,360 Speaker 2: it and in order to recognize the realities that we 1188 01:14:14,439 --> 01:14:18,000 Speaker 2: are facing, right now you know that, you know, so 1189 01:14:18,200 --> 01:14:22,200 Speaker 2: much of our our labor here in the Midwest is 1190 01:14:22,240 --> 01:14:25,960 Speaker 2: done by immigrant labor. And I again, I think most people, 1191 01:14:26,720 --> 01:14:32,000 Speaker 2: Republican or Democrat, recognize and repreciate the value of hard work. 1192 01:14:32,400 --> 01:14:36,160 Speaker 2: And so when they see that immigrants are coming in 1193 01:14:36,200 --> 01:14:38,479 Speaker 2: and doing this work that we definitely that we need 1194 01:14:38,520 --> 01:14:41,840 Speaker 2: them to do that there ought to be a sensible 1195 01:14:41,920 --> 01:14:45,400 Speaker 2: way for them to get to citizenship. That's what's not 1196 01:14:45,720 --> 01:14:48,599 Speaker 2: happening now that I think is causing us a lot 1197 01:14:48,640 --> 01:14:49,280 Speaker 2: of problems. 1198 01:14:49,840 --> 01:14:52,439 Speaker 1: I get a sense that there's some Midwestern Republicans that 1199 01:14:53,120 --> 01:14:55,559 Speaker 1: even some elected leaders that are trying to say this 1200 01:14:55,640 --> 01:14:59,200 Speaker 1: without getting Trump's higher and they're they're not. You know, 1201 01:14:59,360 --> 01:15:01,719 Speaker 1: you see it sometimes in the Chuck Grassley twitter feed. 1202 01:15:01,760 --> 01:15:04,880 Speaker 1: You see it sometimes in John Thune's remarks. You see 1203 01:15:04,880 --> 01:15:08,439 Speaker 1: it sometimes in maybe certain senators who decide not to 1204 01:15:08,439 --> 01:15:13,679 Speaker 1: seek reelection i I you know, do you get that sense? 1205 01:15:13,760 --> 01:15:15,599 Speaker 1: I mean, you know, sort of. Iowa has been an 1206 01:15:15,640 --> 01:15:18,639 Speaker 1: interesting state for trump Ism, and one hand, Trump has 1207 01:15:18,640 --> 01:15:21,200 Speaker 1: done very well there in general elections, but I also 1208 01:15:21,240 --> 01:15:23,439 Speaker 1: get that said that he's not every Republican's cup of 1209 01:15:23,479 --> 01:15:26,320 Speaker 1: tea in Iowa more so than other states. 1210 01:15:26,680 --> 01:15:31,200 Speaker 2: Yeah, well, they recognize that, you know that that that 1211 01:15:31,320 --> 01:15:36,639 Speaker 2: attitude that says that that this is all one party's 1212 01:15:36,680 --> 01:15:40,120 Speaker 2: fault is not true. It's not the reality and the 1213 01:15:40,200 --> 01:15:45,720 Speaker 2: fact that that you know, people know that we've got it. 1214 01:15:45,800 --> 01:15:49,120 Speaker 2: You know, again, take Iowa for example, that we're an 1215 01:15:49,160 --> 01:15:53,040 Speaker 2: elderly state that has got and that and that, and 1216 01:15:53,080 --> 01:15:57,599 Speaker 2: we are not growing as at a robust rate that's 1217 01:15:57,640 --> 01:16:01,080 Speaker 2: going to help us to fill these positions. 1218 01:16:00,720 --> 01:16:03,719 Speaker 1: That an idiot younger labor in some forms. 1219 01:16:04,360 --> 01:16:10,240 Speaker 2: Yeah, and so you know, there's there's just I'm sure 1220 01:16:10,240 --> 01:16:13,760 Speaker 2: that there's a lot of pressure on Republicans to toe 1221 01:16:13,840 --> 01:16:17,679 Speaker 2: the line on this issue, but the realities here beg 1222 01:16:17,840 --> 01:16:21,360 Speaker 2: for a solution, and that's a much harder left. 1223 01:16:22,600 --> 01:16:25,200 Speaker 1: Look. One of the things I've I'm obviously a huge 1224 01:16:25,240 --> 01:16:28,000 Speaker 1: advocate of I think Iowa is a unique state. It 1225 01:16:28,040 --> 01:16:32,000 Speaker 1: should it is a really good vetter in the presidential world. 1226 01:16:32,000 --> 01:16:33,880 Speaker 1: But I also believe that it isn't one state that 1227 01:16:33,920 --> 01:16:36,960 Speaker 1: should get the monopoly on these things. But there seems 1228 01:16:36,960 --> 01:16:39,680 Speaker 1: to be this sort of anti Iowa vibe inside the. 1229 01:16:39,720 --> 01:16:40,040 Speaker 2: D n C. 1230 01:16:40,479 --> 01:16:43,080 Speaker 1: Fair unfair. It exists. You know it, you hear it, 1231 01:16:43,400 --> 01:16:49,439 Speaker 1: you see it, and you know, do you think it's more. 1232 01:16:50,520 --> 01:16:52,880 Speaker 1: Do you think it's because the state is rural and white, 1233 01:16:53,360 --> 01:16:57,880 Speaker 1: or do you think it's because the last two caucus 1234 01:16:58,640 --> 01:17:02,640 Speaker 1: of the caucus results were essentially unclear? How much what 1235 01:17:03,080 --> 01:17:05,120 Speaker 1: do you think has been the bigger contributor or is 1236 01:17:05,120 --> 01:17:06,200 Speaker 1: it hard to disaggregate? 1237 01:17:06,920 --> 01:17:09,760 Speaker 2: Yeah, it's it's hard for me to disaggregate. I mean, 1238 01:17:10,320 --> 01:17:12,280 Speaker 2: keep in mind, check I've only been in this job 1239 01:17:12,320 --> 01:17:13,439 Speaker 2: for two and a half years. 1240 01:17:13,240 --> 01:17:16,559 Speaker 1: You were not in charge of the last I got it. 1241 01:17:16,680 --> 01:17:19,439 Speaker 1: I totally get it. I know it is it is, 1242 01:17:19,560 --> 01:17:19,960 Speaker 1: it is. 1243 01:17:20,560 --> 01:17:23,360 Speaker 2: You know, but I would tell you what I've seen, 1244 01:17:23,880 --> 01:17:28,040 Speaker 2: which is that you know, again, they might have that 1245 01:17:28,200 --> 01:17:32,000 Speaker 2: idea at the DNC, but the candidates did not get 1246 01:17:32,040 --> 01:17:34,719 Speaker 2: that memo because they're still showing up. You know, they're 1247 01:17:34,720 --> 01:17:38,519 Speaker 2: coming and they're getting big crowds here, right. And again, 1248 01:17:38,880 --> 01:17:41,879 Speaker 2: I think they recognize that this is a great testing 1249 01:17:41,920 --> 01:17:46,879 Speaker 2: ground for their campaigns, right because people do take it seriously, 1250 01:17:46,920 --> 01:17:51,200 Speaker 2: and they do ask tough questions and and and it's 1251 01:17:51,520 --> 01:17:55,880 Speaker 2: a cheaper media market. So people could come in and 1252 01:17:55,880 --> 01:17:58,400 Speaker 2: and do this without having to spend as much money as. 1253 01:17:58,400 --> 01:18:01,559 Speaker 1: The mayor of South Bend and could run for president 1254 01:18:01,720 --> 01:18:04,720 Speaker 1: and have a shot at getting heard in Iowa. Oh wait, 1255 01:18:04,760 --> 01:18:07,920 Speaker 1: did that happen? Yes, it did, Sun Yeah. 1256 01:18:07,960 --> 01:18:12,360 Speaker 2: And you know the other thing is that Iowans want 1257 01:18:12,439 --> 01:18:18,120 Speaker 2: to see that kind of a candidate come in and win, right, 1258 01:18:18,479 --> 01:18:20,519 Speaker 2: But they're going to test them hard, They're going to 1259 01:18:20,600 --> 01:18:23,600 Speaker 2: ask them the tough questions. They're gonna they're going to 1260 01:18:24,000 --> 01:18:27,760 Speaker 2: truly be good vetters. And I'm glad that you recognize that. 1261 01:18:28,160 --> 01:18:30,360 Speaker 2: The other thing is the flip side of that, Chuck, 1262 01:18:30,720 --> 01:18:33,320 Speaker 2: is that what if that doesn't happen right, like it 1263 01:18:33,400 --> 01:18:37,120 Speaker 2: didn't happen this last time, right when the Republicans were 1264 01:18:37,160 --> 01:18:40,599 Speaker 2: able to come into a state like Iowa and do 1265 01:18:40,680 --> 01:18:43,240 Speaker 2: that very thing and spend millions. 1266 01:18:42,920 --> 01:18:46,559 Speaker 1: Of dollars cast your three House seats arguably right correct? 1267 01:18:46,600 --> 01:18:49,960 Speaker 2: And I would tell you that it didn't. It hurts 1268 01:18:50,000 --> 01:18:53,800 Speaker 2: our presidency chances too, because they not only beat up 1269 01:18:53,800 --> 01:18:59,080 Speaker 2: on each other, they beat up on the president the 1270 01:18:59,280 --> 01:19:02,479 Speaker 2: President Biden administration, and we were never able, we didn't 1271 01:19:02,520 --> 01:19:07,360 Speaker 2: have the ability to push back on that, and those 1272 01:19:07,400 --> 01:19:10,599 Speaker 2: millions of dollars did their trick. And I think that 1273 01:19:10,600 --> 01:19:13,160 Speaker 2: that was really harmful to us as a as a 1274 01:19:13,200 --> 01:19:15,840 Speaker 2: party for the national nomination. 1275 01:19:25,000 --> 01:19:26,559 Speaker 1: Look, I want to give you a couple of chances 1276 01:19:26,560 --> 01:19:29,160 Speaker 1: to sort of make your public case frankly, why I 1277 01:19:29,200 --> 01:19:31,080 Speaker 1: think I should be first in the nation. So let's 1278 01:19:31,080 --> 01:19:35,519 Speaker 1: start with world voters. There is this debate and I 1279 01:19:35,520 --> 01:19:39,479 Speaker 1: think it's, oh, I know where I fall on it. 1280 01:19:39,520 --> 01:19:43,320 Speaker 1: But I understand the math debate, which is, hey, you 1281 01:19:43,360 --> 01:19:46,280 Speaker 1: only have a finite amount of dollars, and in some 1282 01:19:46,320 --> 01:19:48,920 Speaker 1: ways there's you got to sort of target urban and 1283 01:19:48,960 --> 01:19:52,880 Speaker 1: suburban areas and the rural vote is a nice to 1284 01:19:52,960 --> 01:19:57,080 Speaker 1: have but not a need to have. And you sort 1285 01:19:57,080 --> 01:19:59,960 Speaker 1: of see it and how the Democrats have reoriented their 1286 01:20:00,040 --> 01:20:02,400 Speaker 1: focus on swing states. There are swing states with large 1287 01:20:02,439 --> 01:20:07,720 Speaker 1: metropolitan areas see Georgia, Sa, Arizona, Sea, North Carolina. Right, 1288 01:20:07,800 --> 01:20:11,599 Speaker 1: there is not an arguably, you know with New Hampshire 1289 01:20:11,640 --> 01:20:15,559 Speaker 1: is sort of an accidental exception, uh in some way 1290 01:20:15,560 --> 01:20:18,200 Speaker 1: of a of a semi rural state that is in 1291 01:20:18,280 --> 01:20:22,680 Speaker 1: the battleground that that that Democrats want to want to 1292 01:20:22,760 --> 01:20:28,479 Speaker 1: run and and protect. So what what give me your 1293 01:20:28,520 --> 01:20:34,559 Speaker 1: best answer as to why improving the Democratic brand learning 1294 01:20:34,600 --> 01:20:40,000 Speaker 1: how to campaign in rural Iowa, uh matters to a 1295 01:20:40,320 --> 01:20:41,160 Speaker 1: future president. 1296 01:20:43,080 --> 01:20:47,160 Speaker 2: Yeah. So again I think that there is we have 1297 01:20:47,360 --> 01:20:50,320 Speaker 2: much more in common with people, no matter what our 1298 01:20:50,360 --> 01:20:55,000 Speaker 2: political stripes are than we have against right. And so again, 1299 01:20:55,560 --> 01:20:58,160 Speaker 2: when you have a candidate who comes into a state 1300 01:20:58,240 --> 01:21:01,880 Speaker 2: like Iowa and can be up close and personal to 1301 01:21:01,960 --> 01:21:05,240 Speaker 2: them and they have those kinds of back and forth, 1302 01:21:05,760 --> 01:21:10,760 Speaker 2: that that makes that strengthens that candidate and and it 1303 01:21:10,800 --> 01:21:14,519 Speaker 2: really does a good job of delineating the issues of 1304 01:21:14,560 --> 01:21:17,000 Speaker 2: where this person really stands and is that going to 1305 01:21:17,040 --> 01:21:19,599 Speaker 2: be good for a state like Iowa, but for the 1306 01:21:19,640 --> 01:21:24,280 Speaker 2: country itself. And also I'm telling you also, Chuck, that 1307 01:21:24,920 --> 01:21:26,800 Speaker 2: I am not you know you said, I want you 1308 01:21:26,840 --> 01:21:30,040 Speaker 2: want to give me the opportunity to make the case 1309 01:21:30,120 --> 01:21:33,360 Speaker 2: for first to the nation. I'm having a conversation right 1310 01:21:33,400 --> 01:21:38,720 Speaker 2: now with our fellow Democrats because that we're not we 1311 01:21:38,960 --> 01:21:42,160 Speaker 2: I need to hear from them exactly what they want 1312 01:21:42,200 --> 01:21:45,120 Speaker 2: to do. I think it's a time for a bit 1313 01:21:45,120 --> 01:21:49,520 Speaker 2: of a change here in strengthening, strengthening this whole process. 1314 01:21:50,120 --> 01:21:52,800 Speaker 2: And I think that that's what Iowa can do if 1315 01:21:52,800 --> 01:21:56,800 Speaker 2: we if we continue to vet these candidates. But we're 1316 01:21:56,800 --> 01:22:00,000 Speaker 2: going to see what what what are Iowa Democrats? 1317 01:22:00,120 --> 01:22:01,720 Speaker 1: Well, I guess I would argue that it needs to 1318 01:22:01,760 --> 01:22:03,600 Speaker 1: be a rural A rural state should be in the 1319 01:22:03,600 --> 01:22:07,000 Speaker 1: first flour right primarily rural state, whether it's Kansas, whether 1320 01:22:07,040 --> 01:22:10,080 Speaker 1: it's Nebraska, whether it's the country right somewhere in the 1321 01:22:10,120 --> 01:22:14,400 Speaker 1: center with an agricultural base that that sort of has 1322 01:22:14,439 --> 01:22:18,559 Speaker 1: some roots, you know that you know, and and when 1323 01:22:18,600 --> 01:22:21,559 Speaker 1: you look, you know sort of populist routes, right, and 1324 01:22:21,800 --> 01:22:24,559 Speaker 1: sometimes it's populous left, sometimes populous right. But there's some 1325 01:22:25,080 --> 01:22:27,479 Speaker 1: you know, I could argue it doesn't have to be Iowa, 1326 01:22:27,520 --> 01:22:30,720 Speaker 1: could be Kansas, could be Nebraska. Right. 1327 01:22:30,760 --> 01:22:37,040 Speaker 2: Well, again, I think that there's a the Iowa folks 1328 01:22:37,080 --> 01:22:40,599 Speaker 2: here know how to do this and have been doing 1329 01:22:40,640 --> 01:22:44,519 Speaker 2: it a long time, and we have the infrastructure. And 1330 01:22:44,520 --> 01:22:47,519 Speaker 2: that's again what I'm trying to do with with the 1331 01:22:47,560 --> 01:22:51,040 Speaker 2: Iowa Democratic Party. I think when you have a strong 1332 01:22:51,160 --> 01:22:55,479 Speaker 2: infrastructure in ninety nine counties of this state, then you 1333 01:22:55,600 --> 01:23:00,000 Speaker 2: have a situation where again, a candidate who comes in 1334 01:23:00,120 --> 01:23:03,200 Speaker 2: and is successful here is going to be able to 1335 01:23:03,240 --> 01:23:07,680 Speaker 2: be successful in any kind of state across the country. 1336 01:23:08,200 --> 01:23:11,720 Speaker 2: And so and so that's what we're working is strengthening 1337 01:23:11,760 --> 01:23:13,599 Speaker 2: the party itself here in Iowa. 1338 01:23:13,840 --> 01:23:15,760 Speaker 1: Right. Well, look, I mean one of the reasons why 1339 01:23:15,800 --> 01:23:18,439 Speaker 1: Iowa kept its status for so long is that it 1340 01:23:18,479 --> 01:23:21,439 Speaker 1: was such a bipartisan state. Yeah, right, I mean, in 1341 01:23:21,479 --> 01:23:24,360 Speaker 1: some ways the loss of you know, you had one 1342 01:23:24,400 --> 01:23:27,920 Speaker 1: senator from each party for such a long time that 1343 01:23:27,960 --> 01:23:31,640 Speaker 1: in some ways, do you have a working relationship with 1344 01:23:31,680 --> 01:23:34,439 Speaker 1: the Iowa I mean, the Iowa Republicans, I'm sure are 1345 01:23:34,479 --> 01:23:37,240 Speaker 1: nervous that someday they're first in the nation status as 1346 01:23:37,280 --> 01:23:40,760 Speaker 1: goes away if the Iowa Democrats aren't partnered with them. 1347 01:23:40,800 --> 01:23:43,040 Speaker 1: I mean, I know, we're so polarized these days that 1348 01:23:43,120 --> 01:23:44,960 Speaker 1: state parties aren't allowed to speak to each other. But 1349 01:23:46,320 --> 01:23:48,800 Speaker 1: is there an opportunity at all that you see of 1350 01:23:48,880 --> 01:23:53,000 Speaker 1: working with the Iowa Republicans to sort of make to 1351 01:23:54,280 --> 01:23:57,400 Speaker 1: essentially convinced that the national Democrats that, hey, the Republicans 1352 01:23:57,439 --> 01:23:58,800 Speaker 1: are going to stay here first in the nation. Do 1353 01:23:59,439 --> 01:24:02,680 Speaker 1: you really want to keep seating this turf exactly? 1354 01:24:02,720 --> 01:24:07,599 Speaker 2: And yeah, you know, I think that anybody who is 1355 01:24:08,479 --> 01:24:11,880 Speaker 2: involved in the Republican Party or the Democratic Party needs 1356 01:24:11,920 --> 01:24:15,280 Speaker 2: to be talking to the other side. This is you know, 1357 01:24:15,320 --> 01:24:17,479 Speaker 2: and I was when I was first elected to the 1358 01:24:17,560 --> 01:24:22,800 Speaker 2: legislature in twenty twelve. That was the mantra. Then, you know, 1359 01:24:22,920 --> 01:24:26,640 Speaker 2: you get under the dome and you put the campaigning 1360 01:24:26,720 --> 01:24:29,479 Speaker 2: behind you. You don't get to decide who shows up 1361 01:24:29,520 --> 01:24:32,920 Speaker 2: here to work on behalf of the Iowa people. You 1362 01:24:33,080 --> 01:24:36,080 Speaker 2: get to work with all of them. That's what your 1363 01:24:36,200 --> 01:24:40,920 Speaker 2: job is. And that's how I look at democracy in general, 1364 01:24:41,040 --> 01:24:43,960 Speaker 2: that we're all in this together. And so if you're 1365 01:24:43,960 --> 01:24:48,160 Speaker 2: a Republican leader or a Democratic leader, it's incumbent upon 1366 01:24:48,200 --> 01:24:50,680 Speaker 2: you to talk to the other side and work with 1367 01:24:50,720 --> 01:24:54,400 Speaker 2: them and make this democracy work better for people. 1368 01:24:55,240 --> 01:24:59,720 Speaker 1: All right, let's talk mechanical caucus versus primary. 1369 01:25:01,040 --> 01:25:03,519 Speaker 3: So the thing that you know, this is what we're 1370 01:25:03,560 --> 01:25:06,840 Speaker 3: going to find out in this survey, is what people 1371 01:25:06,880 --> 01:25:10,120 Speaker 3: really believe about that, right, because we have strong opinions, 1372 01:25:10,400 --> 01:25:12,240 Speaker 3: you know, and I've been going around the state with 1373 01:25:12,400 --> 01:25:16,720 Speaker 3: some regional events and having a uh one on you know, a. 1374 01:25:16,680 --> 01:25:19,840 Speaker 2: Personal conversation with folks as well as we're doing an 1375 01:25:19,880 --> 01:25:20,879 Speaker 2: online survey. 1376 01:25:21,280 --> 01:25:24,040 Speaker 1: So you want this to be a decision that's that 1377 01:25:24,160 --> 01:25:28,479 Speaker 1: the state Democratic Party collectively correct says, Okay, we're going 1378 01:25:28,560 --> 01:25:30,720 Speaker 1: to move if I if you move to a primary, 1379 01:25:31,080 --> 01:25:36,280 Speaker 1: it's because democratically, well it wasn't it isn't you Rido 1380 01:25:36,360 --> 01:25:38,280 Speaker 1: Hart is making this discrect. 1381 01:25:38,080 --> 01:25:41,400 Speaker 2: Right, Yeah, I wanted I want these people to weigh 1382 01:25:41,479 --> 01:25:43,640 Speaker 2: in on this and so that I can see if 1383 01:25:43,680 --> 01:25:47,320 Speaker 2: there's a consensus on what we can agree on, and 1384 01:25:47,400 --> 01:25:51,120 Speaker 2: I would tell you that, you know, there's there's obvious 1385 01:25:51,200 --> 01:25:54,760 Speaker 2: things that are that are a priority for me that 1386 01:25:54,920 --> 01:25:58,640 Speaker 2: might not be a priority for the majority of Democrats. 1387 01:25:58,640 --> 01:26:01,240 Speaker 2: So that's what we're going to find out. You know, 1388 01:26:01,280 --> 01:26:06,320 Speaker 2: whether people prefer caucus to primary. I know that. What 1389 01:26:06,360 --> 01:26:08,080 Speaker 2: I can tell you is that there's a lot of 1390 01:26:08,080 --> 01:26:11,439 Speaker 2: people that think, simplify it, just dog on it, simplify it. 1391 01:26:11,840 --> 01:26:14,120 Speaker 2: They don't want to do the math at a caucus. 1392 01:26:14,160 --> 01:26:16,479 Speaker 2: They don't want to stand in a corner and be counted. 1393 01:26:17,160 --> 01:26:19,160 Speaker 2: But then there are other people who are saying, but yeah, 1394 01:26:19,160 --> 01:26:22,600 Speaker 2: but this is how we make democracy better because we 1395 01:26:22,720 --> 01:26:26,360 Speaker 2: talk to our fellow Democrats. We have these conversations. So 1396 01:26:26,640 --> 01:26:29,400 Speaker 2: we're going to find out, you know, what people think, 1397 01:26:29,560 --> 01:26:33,240 Speaker 2: and then what's possible, how we can how we can 1398 01:26:33,760 --> 01:26:36,639 Speaker 2: all get together on what it should look like going forward. 1399 01:26:37,080 --> 01:26:41,360 Speaker 1: So it sounds like you're, well, now I'm not gonna 1400 01:26:43,320 --> 01:26:45,080 Speaker 1: but it sounds like what you're hearing is that people 1401 01:26:45,120 --> 01:26:47,439 Speaker 1: would like to keep some form of the caucus, just 1402 01:26:47,560 --> 01:26:50,120 Speaker 1: make it simpler. Is that to be there, if that 1403 01:26:50,360 --> 01:26:55,960 Speaker 1: if that was, if that's possible, that's the preference over 1404 01:26:56,000 --> 01:26:58,320 Speaker 1: a primary. Is it just a primary seems a little 1405 01:26:58,360 --> 01:26:59,920 Speaker 1: too impersonal? Is that the concern? 1406 01:27:01,080 --> 01:27:04,599 Speaker 2: I think that that concern has been expressed. Now I'm 1407 01:27:04,800 --> 01:27:08,920 Speaker 2: I'm reserving my you know, judgment here on what people 1408 01:27:08,920 --> 01:27:10,000 Speaker 2: think until we know. 1409 01:27:10,520 --> 01:27:12,240 Speaker 1: You're trying not to put your thumb on the scale, 1410 01:27:12,439 --> 01:27:12,680 Speaker 1: is what. 1411 01:27:12,640 --> 01:27:15,400 Speaker 2: You're saying, Absolutely not put my thumb on the scale. 1412 01:27:15,479 --> 01:27:17,880 Speaker 2: And I don't have all the input right We're still 1413 01:27:17,880 --> 01:27:21,560 Speaker 2: we're going to be collecting these online surveys into November 1414 01:27:22,040 --> 01:27:24,280 Speaker 2: and I've got some more events where I'm going to 1415 01:27:24,320 --> 01:27:30,280 Speaker 2: have these conversations. But I'm encouraged by the conversation so 1416 01:27:30,439 --> 01:27:36,000 Speaker 2: far because again, I think that people are seeing that 1417 01:27:36,000 --> 01:27:38,720 Speaker 2: that maybe there's there's ways to do this that could 1418 01:27:38,760 --> 01:27:41,759 Speaker 2: be that could improve the process. And that's what I'm about. 1419 01:27:42,400 --> 01:27:45,439 Speaker 2: We want to have more participation. We want to have 1420 01:27:46,240 --> 01:27:50,240 Speaker 2: the ability to show up and get your voice heard 1421 01:27:50,520 --> 01:27:53,240 Speaker 2: in the easiest way possible. And if we can do that, 1422 01:27:54,360 --> 01:27:56,639 Speaker 2: you know, I'll be really happy with the results. 1423 01:27:57,280 --> 01:27:59,559 Speaker 1: Yeah, I mean, it's funny. I've heard, you know, one 1424 01:27:59,600 --> 01:28:01,519 Speaker 1: of the credit systems as well. If you you know, 1425 01:28:01,520 --> 01:28:03,400 Speaker 1: if you can't make it to that three hour window, 1426 01:28:03,439 --> 01:28:07,519 Speaker 1: then you don't get to participate, and yet it is 1427 01:28:07,560 --> 01:28:11,679 Speaker 1: the in person. You know, this isn't a final decision, 1428 01:28:11,760 --> 01:28:14,120 Speaker 1: This is in some ways a vetting decision, right like 1429 01:28:14,360 --> 01:28:18,479 Speaker 1: you know, I I sort of I don't think that's 1430 01:28:18,520 --> 01:28:21,760 Speaker 1: a bug. I think that's a feature. But how do 1431 01:28:21,800 --> 01:28:24,040 Speaker 1: you navigate that correct? 1432 01:28:24,920 --> 01:28:28,559 Speaker 2: It's a it's a conversation that you know that we 1433 01:28:28,640 --> 01:28:33,360 Speaker 2: have about precing uh primaries in general, right that you 1434 01:28:33,479 --> 01:28:36,280 Speaker 2: have to be a Democrat or a Republican to participate. 1435 01:28:36,320 --> 01:28:39,240 Speaker 2: There's there's that aspect too, So it's all part of 1436 01:28:39,280 --> 01:28:43,559 Speaker 2: the animal. But I do think that when you have 1437 01:28:43,720 --> 01:28:48,360 Speaker 2: barriers that cause people who want to have their voices 1438 01:28:48,400 --> 01:28:53,080 Speaker 2: heard simply be unable to do that, then that's a problem. 1439 01:28:53,120 --> 01:28:55,000 Speaker 2: And if we could find a solution for that, we 1440 01:28:55,120 --> 01:28:55,960 Speaker 2: definitely should. 1441 01:28:57,920 --> 01:29:00,640 Speaker 1: What's uh, what success look like for I Democrats in 1442 01:29:00,640 --> 01:29:01,400 Speaker 1: twenty twenty six. 1443 01:29:02,600 --> 01:29:07,160 Speaker 2: Yeah, so again, we have so many opportunities and in 1444 01:29:07,200 --> 01:29:09,479 Speaker 2: the bottom line for me is that we we just 1445 01:29:09,640 --> 01:29:14,360 Speaker 2: have to start winning again. And so you know, we've 1446 01:29:14,400 --> 01:29:19,719 Speaker 2: got a terrific competitive governor's race ahead of us. We've 1447 01:29:19,760 --> 01:29:25,120 Speaker 2: got four congressional districts, two of which have already been targeted. 1448 01:29:25,200 --> 01:29:28,080 Speaker 2: We know that that we have a real shot and 1449 01:29:28,320 --> 01:29:31,920 Speaker 2: at least two of them. But we've got great candidates 1450 01:29:32,000 --> 01:29:38,000 Speaker 2: in all four, and there's growth that's possible, So two 1451 01:29:38,120 --> 01:29:38,639 Speaker 2: not three. 1452 01:29:38,840 --> 01:29:41,760 Speaker 1: I've always thought three of the four competitive. Right now, 1453 01:29:41,840 --> 01:29:42,640 Speaker 1: I would say three of. 1454 01:29:42,640 --> 01:29:45,680 Speaker 2: The four are competitive for sure, two of them are targeted, 1455 01:29:46,760 --> 01:29:50,040 Speaker 2: and the third is definitely competitive. And we've got great 1456 01:29:50,040 --> 01:29:53,719 Speaker 2: candidates in the fourth. So you know, you know, we've 1457 01:29:53,800 --> 01:29:55,479 Speaker 2: got real opportunities here. 1458 01:29:56,240 --> 01:29:58,760 Speaker 1: Just to put the two that are officially targeted, is 1459 01:29:58,800 --> 01:30:01,599 Speaker 1: it one and two or is it one in three 1460 01:30:01,760 --> 01:30:03,920 Speaker 1: one in three? I was going to ask, Yeah, so 1461 01:30:04,040 --> 01:30:05,200 Speaker 1: not the second right now? 1462 01:30:05,680 --> 01:30:09,080 Speaker 2: Correct, but that could change, right you know. Again, we've 1463 01:30:09,080 --> 01:30:13,360 Speaker 2: got terrific candidates and they're working hard, you know. There 1464 01:30:13,720 --> 01:30:17,880 Speaker 2: they are canvassing the state, they are collecting volunteers, they 1465 01:30:17,880 --> 01:30:20,800 Speaker 2: are raising money, they're doing all the things that is 1466 01:30:20,840 --> 01:30:25,519 Speaker 2: going to really make this an exciting opportunity for us 1467 01:30:25,560 --> 01:30:28,479 Speaker 2: in twenty twenty six. And then that, you know, the 1468 01:30:28,520 --> 01:30:32,320 Speaker 2: Senate race is. I could not be thrilled with the 1469 01:30:32,439 --> 01:30:35,360 Speaker 2: number of the quality of candidates that are running for 1470 01:30:35,400 --> 01:30:38,280 Speaker 2: that open Senate seed. And I would never have guessed 1471 01:30:38,280 --> 01:30:41,880 Speaker 2: that we'd be in this position. Right and again, I 1472 01:30:41,880 --> 01:30:44,639 Speaker 2: would tell you that one of the reasons why we're 1473 01:30:44,680 --> 01:30:48,760 Speaker 2: in this position is because Democrats showed up, spoke up, 1474 01:30:49,080 --> 01:30:52,400 Speaker 2: put some pressure on other things, got in there too. 1475 01:30:52,479 --> 01:30:55,760 Speaker 2: But there's a reason why both Jony Ernst and Kim 1476 01:30:55,840 --> 01:31:00,280 Speaker 2: Reynolds dropped out of these races. And again it's and 1477 01:31:00,320 --> 01:31:03,599 Speaker 2: I think since nineteen sixty eight, since Iowa's had an 1478 01:31:03,680 --> 01:31:06,920 Speaker 2: open governor seat and an open Senate seat. So this 1479 01:31:07,000 --> 01:31:09,559 Speaker 2: is this is yeah, nineteen sixty eight. 1480 01:31:10,080 --> 01:31:12,840 Speaker 1: It's a good nugget. Yeah, well that means all the 1481 01:31:13,520 --> 01:31:15,439 Speaker 1: legacy media crowd is going to be very happy. 1482 01:31:15,920 --> 01:31:17,519 Speaker 2: Yeah, it's a lot. 1483 01:31:17,840 --> 01:31:22,400 Speaker 1: It's a crowded some crowded airwaves. Those Iowa and Iowa 1484 01:31:22,479 --> 01:31:24,120 Speaker 1: state football games are going to have their share of 1485 01:31:24,120 --> 01:31:26,599 Speaker 1: political ads next fall, that's for sure. 1486 01:31:27,479 --> 01:31:29,439 Speaker 2: Yeah, lots of excitement here in Iowa. 1487 01:31:29,640 --> 01:31:32,200 Speaker 1: And again, let me get you out of here on 1488 01:31:32,560 --> 01:31:38,599 Speaker 1: this question just about how would you describe the job 1489 01:31:38,840 --> 01:31:41,000 Speaker 1: of a party of a state party chair. And I 1490 01:31:41,080 --> 01:31:44,719 Speaker 1: say this, you were a candidate for office, you've served 1491 01:31:44,760 --> 01:31:49,880 Speaker 1: in office. Party chair is unique and different, but what 1492 01:31:50,439 --> 01:31:53,559 Speaker 1: is tell me some of the differences, and what do 1493 01:31:53,560 --> 01:31:56,680 Speaker 1: you think the ideal skill set is and what has 1494 01:31:56,720 --> 01:31:58,839 Speaker 1: surprised you so far about the job itself? 1495 01:32:00,160 --> 01:32:02,320 Speaker 2: Well, I would tell you that I wasn't looking to 1496 01:32:02,400 --> 01:32:06,639 Speaker 2: take this job. I uh but what I what I 1497 01:32:06,760 --> 01:32:11,040 Speaker 2: was interested in is being a part of figuring out 1498 01:32:11,120 --> 01:32:13,720 Speaker 2: how we can turn things around, how we can get 1499 01:32:13,760 --> 01:32:18,160 Speaker 2: Democrats elected in this state. And and so I started 1500 01:32:18,200 --> 01:32:21,040 Speaker 2: asking a lot of questions and I got I didn't 1501 01:32:21,080 --> 01:32:23,360 Speaker 2: get very many answers. Instead, I just got a lot 1502 01:32:23,400 --> 01:32:27,439 Speaker 2: of encouragement to run for this for the and so 1503 01:32:27,720 --> 01:32:29,720 Speaker 2: I didn't I knew that this was going to be 1504 01:32:30,040 --> 01:32:33,680 Speaker 2: a in these circumstances that I picked it up in 1505 01:32:34,000 --> 01:32:37,479 Speaker 2: twenty twenty three, and all there was there was a 1506 01:32:37,479 --> 01:32:42,040 Speaker 2: lot of pressure. There was this party was down and out, 1507 01:32:42,120 --> 01:32:46,240 Speaker 2: we didn't have there was there was money problems, there 1508 01:32:46,360 --> 01:32:53,720 Speaker 2: was a dispiritedness you know. Yeah, so and there was 1509 01:32:53,760 --> 01:32:57,080 Speaker 2: a lot of uh, you know in people not happy, 1510 01:32:57,360 --> 01:33:01,759 Speaker 2: you know, trying to do something but not knowing exactly 1511 01:33:01,760 --> 01:33:04,080 Speaker 2: how to move forward. And so that caused a lot 1512 01:33:04,120 --> 01:33:08,120 Speaker 2: of strife. So I knew that there was going to 1513 01:33:08,200 --> 01:33:09,839 Speaker 2: it was going to be a lot of hard work 1514 01:33:10,400 --> 01:33:13,639 Speaker 2: and I needed a lot of help. And so before 1515 01:33:13,680 --> 01:33:15,840 Speaker 2: I said yes to the job, I said, Okay, if 1516 01:33:15,880 --> 01:33:19,200 Speaker 2: I consider doing this, will you help me in this 1517 01:33:19,280 --> 01:33:21,760 Speaker 2: regard because we've got this problem, and I think you 1518 01:33:21,840 --> 01:33:24,479 Speaker 2: have this skill set to help me, right, And a 1519 01:33:24,520 --> 01:33:27,240 Speaker 2: lot of people said yes to that, and then once 1520 01:33:27,320 --> 01:33:29,240 Speaker 2: I said yes and we were on our way, then 1521 01:33:29,600 --> 01:33:32,320 Speaker 2: then I then they stepped up and did those things. 1522 01:33:32,600 --> 01:33:36,000 Speaker 2: It's a it's very much a job where you need 1523 01:33:36,040 --> 01:33:39,360 Speaker 2: to work with a lot of people successfully, right, So 1524 01:33:39,920 --> 01:33:43,760 Speaker 2: I think I go back to teacher skills, right. 1525 01:33:44,640 --> 01:33:46,240 Speaker 1: I was just kind to say it sounds like, you know, 1526 01:33:46,880 --> 01:33:49,799 Speaker 1: you know, identifying the students and giving them a job. 1527 01:33:50,240 --> 01:33:53,080 Speaker 1: And if they have one job and you have twenty 1528 01:33:53,120 --> 01:33:55,320 Speaker 1: nine students, they all do their one job, maybe you get. 1529 01:33:55,200 --> 01:33:58,439 Speaker 2: A lot done right exactly right, and you and you 1530 01:33:58,560 --> 01:34:02,600 Speaker 2: have to be an encourager along the way, right, and 1531 01:34:03,439 --> 01:34:06,599 Speaker 2: you have to be a listener. You know. Sometimes it's 1532 01:34:06,640 --> 01:34:09,559 Speaker 2: a thing of you want to be involved, but talk 1533 01:34:09,600 --> 01:34:11,920 Speaker 2: to me about who you are and what's your background 1534 01:34:12,000 --> 01:34:15,080 Speaker 2: and how you might be involved. That would really be 1535 01:34:15,160 --> 01:34:19,040 Speaker 2: satisfying to you. That skill set, if we put it 1536 01:34:19,080 --> 01:34:23,280 Speaker 2: in there appropriately, is really going to pay off. So yeah, 1537 01:34:23,640 --> 01:34:29,320 Speaker 2: it's that kind of a job where I certainly have 1538 01:34:29,400 --> 01:34:33,360 Speaker 2: a have to develop a big team in order to 1539 01:34:33,400 --> 01:34:36,439 Speaker 2: get this done and be successful at it. And I've 1540 01:34:36,479 --> 01:34:39,400 Speaker 2: been really pleased with the number of people who have 1541 01:34:39,439 --> 01:34:42,479 Speaker 2: stepped up, the people who have been very helpful to me. 1542 01:34:43,920 --> 01:34:48,960 Speaker 2: They may have been at odds, but they didn't want 1543 01:34:49,000 --> 01:34:52,519 Speaker 2: to be They wanted to get these things resolved so 1544 01:34:52,560 --> 01:34:54,760 Speaker 2: that they could work together as a team. And we 1545 01:34:54,840 --> 01:34:57,600 Speaker 2: have come a long long ways in that. And so 1546 01:34:58,160 --> 01:35:00,439 Speaker 2: I'm pleased with what we've been able to accomp two 1547 01:35:00,479 --> 01:35:01,280 Speaker 2: and a half years. 1548 01:35:01,479 --> 01:35:03,760 Speaker 1: And you haven't. You're not burned out on fundraising, because that, 1549 01:35:03,800 --> 01:35:05,639 Speaker 1: to me seems like the hardest part of the job. 1550 01:35:06,080 --> 01:35:06,360 Speaker 1: Is it? 1551 01:35:07,080 --> 01:35:10,439 Speaker 2: You know, this is how I look at fundraising. It's 1552 01:35:11,160 --> 01:35:14,479 Speaker 2: it's a job just like any you know, when I was, 1553 01:35:14,880 --> 01:35:17,360 Speaker 2: when I grew up on the farm. I tell this 1554 01:35:17,560 --> 01:35:21,679 Speaker 2: story a lot, and folks across the state know this story. 1555 01:35:21,760 --> 01:35:25,120 Speaker 2: That how I compare this to one job that we've 1556 01:35:25,160 --> 01:35:28,000 Speaker 2: always done on the farm, which especially here up in 1557 01:35:28,120 --> 01:35:30,559 Speaker 2: northern Iowa where I grew up, You have to pick 1558 01:35:30,600 --> 01:35:32,599 Speaker 2: up a lot of rocks. You have to go out 1559 01:35:32,680 --> 01:35:36,479 Speaker 2: every year and clear the field so that you don't 1560 01:35:36,840 --> 01:35:41,000 Speaker 2: you know, ruin your machinery and and and it's you know, 1561 01:35:41,240 --> 01:35:44,240 Speaker 2: the process works better, so you got to pick up 1562 01:35:44,240 --> 01:35:45,320 Speaker 2: all those rocks. 1563 01:35:45,040 --> 01:35:45,960 Speaker 1: And pretty tedious. 1564 01:35:46,120 --> 01:35:49,120 Speaker 2: Yeah, so we had a big family. We had nine 1565 01:35:49,360 --> 01:35:51,280 Speaker 2: there was I had eight brothers and sisters, and I'm 1566 01:35:51,320 --> 01:35:53,880 Speaker 2: smack dab in the middle. So Dad would get us 1567 01:35:53,880 --> 01:35:56,120 Speaker 2: out on the edge of the field. And I have 1568 01:35:56,240 --> 01:35:59,320 Speaker 2: four older brothers and sisters and four younger brothers and sisters. 1569 01:35:59,439 --> 01:36:02,400 Speaker 2: And I soon figured out that you've got to pick 1570 01:36:02,560 --> 01:36:05,400 Speaker 2: the rock that suits you, right. Leave the bigger ones 1571 01:36:05,400 --> 01:36:07,760 Speaker 2: for the bigger kids, leave the smaller ones for the 1572 01:36:07,760 --> 01:36:10,680 Speaker 2: smaller kids. Everybody has their job, and your job is 1573 01:36:10,720 --> 01:36:13,080 Speaker 2: to pick up as many rocks as you can, get 1574 01:36:13,120 --> 01:36:15,679 Speaker 2: it up on the on the rack and move along 1575 01:36:15,720 --> 01:36:19,479 Speaker 2: that field as a team. That's what we have to 1576 01:36:19,600 --> 01:36:23,040 Speaker 2: do as a party, right. Everybody has to pick their 1577 01:36:23,200 --> 01:36:26,680 Speaker 2: pick their rock and do a and and do it 1578 01:36:26,720 --> 01:36:30,240 Speaker 2: as quickly and efficiently as possible. But work as a team, 1579 01:36:30,240 --> 01:36:33,000 Speaker 2: because sometimes there's a great, big rock and it takes 1580 01:36:33,000 --> 01:36:34,800 Speaker 2: four or five of you to take that up and 1581 01:36:34,840 --> 01:36:38,280 Speaker 2: get it out of the way, and so and then 1582 01:36:38,320 --> 01:36:40,320 Speaker 2: you have a sense of accomplishment at the end because 1583 01:36:40,360 --> 01:36:42,360 Speaker 2: you look back across the field and you see that 1584 01:36:42,800 --> 01:36:45,800 Speaker 2: maybe you didn't get every rock, and it's very likely 1585 01:36:45,880 --> 01:36:47,840 Speaker 2: that you're going to have a lot more rocks come 1586 01:36:47,880 --> 01:36:49,680 Speaker 2: up again next spring. And you're going to have to 1587 01:36:49,720 --> 01:36:53,000 Speaker 2: do this again. But you've accomplished something for this season, 1588 01:36:53,360 --> 01:36:55,840 Speaker 2: and you've been helpful to the to the effort of 1589 01:36:55,920 --> 01:36:59,000 Speaker 2: the farm itself. You know, your dad or whoever's going 1590 01:36:59,080 --> 01:37:01,320 Speaker 2: to be planting or arvesting doesn't have to get off 1591 01:37:01,360 --> 01:37:04,000 Speaker 2: the tractor to pick up a rock because you've already 1592 01:37:04,000 --> 01:37:06,960 Speaker 2: done it for him, and you and everybody, no matter 1593 01:37:06,960 --> 01:37:10,960 Speaker 2: how old they were, were able to be a part 1594 01:37:11,000 --> 01:37:12,639 Speaker 2: of that team. They got that done. 1595 01:37:12,720 --> 01:37:15,360 Speaker 1: So I had to tell you I expected something else 1596 01:37:15,400 --> 01:37:17,840 Speaker 1: other than rock when you began your story about picking 1597 01:37:17,920 --> 01:37:22,839 Speaker 1: up that's sometimes another part of farm life, right. 1598 01:37:22,760 --> 01:37:25,160 Speaker 2: You know, Yeah, that's right. You got to avoid that 1599 01:37:25,360 --> 01:37:27,880 Speaker 2: while you're picking up those runs, right, Yeah, that's for sure. 1600 01:37:28,040 --> 01:37:30,120 Speaker 1: Hey, Rida heart, this was great. I appreciate the time. 1601 01:37:31,120 --> 01:37:33,080 Speaker 2: Great to be here, Jack, Thank you so much. 1602 01:37:44,080 --> 01:37:47,559 Speaker 1: Well, like I said, I think if I think here's 1603 01:37:47,560 --> 01:37:52,040 Speaker 1: the short answer. If a Democrat wins any Senate election 1604 01:37:52,160 --> 01:37:56,439 Speaker 1: in Kansas, Nebraska, or Iowa, or any governor's election in 1605 01:37:56,479 --> 01:37:59,439 Speaker 1: any of those three states, I think one of them 1606 01:37:59,479 --> 01:38:03,600 Speaker 1: will end up in the first four. You need a 1607 01:38:03,600 --> 01:38:06,920 Speaker 1: Midwestern state. You need a Midwestern state without a dominant 1608 01:38:07,000 --> 01:38:09,760 Speaker 1: metro area. That's why I think Minnesota is too big. 1609 01:38:09,880 --> 01:38:12,760 Speaker 1: Would be a mistake, because then you could just win 1610 01:38:12,800 --> 01:38:16,439 Speaker 1: it with progressives in Minnesota, and that would defeat the purpose. 1611 01:38:16,600 --> 01:38:19,120 Speaker 1: So a lot of this I think the only way 1612 01:38:19,120 --> 01:38:23,520 Speaker 1: you will convince some skeptics that the DNC is with victories, 1613 01:38:23,800 --> 01:38:25,960 Speaker 1: you know, some sort of success in twenty twenty six 1614 01:38:26,000 --> 01:38:27,599 Speaker 1: Now there, I assume they're going to try to come 1615 01:38:27,640 --> 01:38:30,760 Speaker 1: up with the calendar before no election a twenty twenty sixth. 1616 01:38:31,520 --> 01:38:36,040 Speaker 1: But you know, to me, anything that doesn't include one 1617 01:38:36,080 --> 01:38:38,880 Speaker 1: of those three. And look, if the Republicans are going 1618 01:38:38,920 --> 01:38:42,000 Speaker 1: to put Iowa first, the Democrats might as well join them. Now, 1619 01:38:42,000 --> 01:38:43,240 Speaker 1: I get it. Maybe you come up with a better 1620 01:38:43,240 --> 01:38:46,280 Speaker 1: way to count all of those things. That's that's certainly 1621 01:38:46,840 --> 01:38:49,400 Speaker 1: an issue. And I do think Democrats in Iowa have 1622 01:38:49,400 --> 01:38:52,320 Speaker 1: been hurt by the fact that the last two competitive 1623 01:38:52,360 --> 01:38:56,519 Speaker 1: caucuses were not sure who won. Right, was it Sanders? 1624 01:38:56,560 --> 01:38:59,080 Speaker 1: Was it Clinton? Was it Sanders? Was it Budajit? Right? 1625 01:38:59,120 --> 01:39:01,519 Speaker 1: It all depends on how you count what you look 1626 01:39:01,560 --> 01:39:05,600 Speaker 1: at and all of those things. Would they go the 1627 01:39:05,640 --> 01:39:10,519 Speaker 1: primary route? That's an interesting thought. I happen to think 1628 01:39:10,560 --> 01:39:16,960 Speaker 1: that that there is some good parts of the cot 1629 01:39:17,080 --> 01:39:19,360 Speaker 1: I mean forcing a candidate to learn how to be 1630 01:39:19,400 --> 01:39:22,040 Speaker 1: an organizer. I think it's one of the skills sets 1631 01:39:22,080 --> 01:39:24,559 Speaker 1: you want in a president. So I kind of think 1632 01:39:24,600 --> 01:39:29,479 Speaker 1: forcing that kind of mindset's a good thing. And I 1633 01:39:29,479 --> 01:39:31,839 Speaker 1: think there have been too many sort of rank amateur 1634 01:39:32,560 --> 01:39:35,960 Speaker 1: pundits on the left who don't know anything about organizing 1635 01:39:36,040 --> 01:39:38,320 Speaker 1: and who just look at Iowa and think, well, why 1636 01:39:38,360 --> 01:39:40,759 Speaker 1: are you doing it that way? Because I can't follow 1637 01:39:40,880 --> 01:39:44,160 Speaker 1: how the caucus process works, then it shouldn't be that. Well, 1638 01:39:44,520 --> 01:39:48,439 Speaker 1: I'm sorry you can't read right, you know, spend ten 1639 01:39:48,479 --> 01:39:51,679 Speaker 1: minutes learn about it, and you'll actually realize the system's 1640 01:39:51,720 --> 01:39:55,120 Speaker 1: pretty interesting and it's actually a perfect system to be 1641 01:39:55,320 --> 01:39:57,880 Speaker 1: first in the process because you're not trying to pick 1642 01:39:57,880 --> 01:40:01,200 Speaker 1: a winner. You're simply elimiting those that have no ability 1643 01:40:01,200 --> 01:40:06,760 Speaker 1: to organize at all. So it's actually a very I think, 1644 01:40:07,600 --> 01:40:11,920 Speaker 1: egalitarian process and a free market at the same time. 1645 01:40:12,600 --> 01:40:14,439 Speaker 1: So I think it's a process that should be more 1646 01:40:14,479 --> 01:40:18,479 Speaker 1: embraced than it is. All Right, I want to have 1647 01:40:18,479 --> 01:40:21,080 Speaker 1: a little fun with my top five list this week 1648 01:40:21,520 --> 01:40:31,960 Speaker 1: to top one of my favorite shows is back. And 1649 01:40:32,200 --> 01:40:36,599 Speaker 1: you know, often I get asked which political shows TV 1650 01:40:36,720 --> 01:40:39,160 Speaker 1: shows do I like, And usually the question is you 1651 01:40:39,240 --> 01:40:42,280 Speaker 1: must love west Wing, and I'm like, oh, here we go, 1652 01:40:42,360 --> 01:40:46,640 Speaker 1: Aaron sork and stuff. I don't now. Part of it 1653 01:40:46,720 --> 01:40:51,400 Speaker 1: is that west Wing is a a sort of a 1654 01:40:51,400 --> 01:40:57,759 Speaker 1: fever dream of of what a liberal utopia, utopian system 1655 01:40:57,760 --> 01:41:01,760 Speaker 1: would work. It's not. It doesn't. I guess what I 1656 01:41:01,800 --> 01:41:07,280 Speaker 1: look for in my political TV shows is a little 1657 01:41:07,320 --> 01:41:10,479 Speaker 1: bit of reality. I don't need all of it to 1658 01:41:10,520 --> 01:41:12,720 Speaker 1: be reality based. I don't need to be like a 1659 01:41:12,840 --> 01:41:16,080 Speaker 1: you know, as if you're following an historical book. But 1660 01:41:16,160 --> 01:41:18,439 Speaker 1: I want it to be realistic. And I will just 1661 01:41:18,439 --> 01:41:22,360 Speaker 1: say west Wing he was never realistic, not one iota. 1662 01:41:22,479 --> 01:41:25,000 Speaker 1: And actually most of what Sorkin does is not realistic, 1663 01:41:25,400 --> 01:41:30,200 Speaker 1: even though it is incredibly moving, entertaining, and sometimes inspiring. 1664 01:41:30,880 --> 01:41:32,720 Speaker 1: I mean, trust me, I'm a guy who's seen a 1665 01:41:32,720 --> 01:41:36,160 Speaker 1: few good men so many times, and yet I don't 1666 01:41:36,160 --> 01:41:45,080 Speaker 1: think any JAG officer has ever had an experience like 1667 01:41:45,160 --> 01:41:48,519 Speaker 1: Kevin Bacon or Tom Cruise, the two stars of that movie. 1668 01:41:49,400 --> 01:41:54,360 Speaker 1: So with that spirit, I'm gonna give you my five 1669 01:41:54,439 --> 01:41:58,080 Speaker 1: favorite political TV shows from the last ten years, not 1670 01:41:58,200 --> 01:42:00,720 Speaker 1: going back. So basically, it could be a show that 1671 01:42:00,800 --> 01:42:04,160 Speaker 1: started before twenty fifteen, but it had to end after 1672 01:42:04,280 --> 01:42:09,759 Speaker 1: twenty fifteen to make my list, So my top five lists. 1673 01:42:10,040 --> 01:42:12,800 Speaker 1: Number one, I'm putting it's the show that just came back, 1674 01:42:13,240 --> 01:42:15,800 Speaker 1: and it's a show that in its first season I 1675 01:42:15,840 --> 01:42:19,000 Speaker 1: wouldn't have put in my top five. But now, going 1676 01:42:19,040 --> 01:42:23,960 Speaker 1: into season three, the Diplomat is really, I have to say, 1677 01:42:24,520 --> 01:42:27,439 Speaker 1: is really now. I haven't watched a single episode yet 1678 01:42:28,360 --> 01:42:31,320 Speaker 1: of season three, but I loved season two. I loved 1679 01:42:31,320 --> 01:42:34,519 Speaker 1: where they've taken this, I do think, and you know, 1680 01:42:34,600 --> 01:42:37,400 Speaker 1: I had the showrunner on the podcast, so if you 1681 01:42:37,400 --> 01:42:39,920 Speaker 1: guys are curious, she gave it terrific a little bit 1682 01:42:39,920 --> 01:42:42,880 Speaker 1: of a tease at the time about a new season 1683 01:42:42,960 --> 01:42:46,800 Speaker 1: is coming on that front, so we got to sort 1684 01:42:46,800 --> 01:42:51,760 Speaker 1: of learn that during that interview process. But look, are 1685 01:42:51,800 --> 01:42:53,880 Speaker 1: there some things that are unrealistic. The idea that you 1686 01:42:53,920 --> 01:42:57,280 Speaker 1: would use the ambassadorship to the UK as a launching 1687 01:42:57,320 --> 01:43:01,879 Speaker 1: pad for a potential way to that potential vice president. 1688 01:43:02,160 --> 01:43:06,880 Speaker 1: All right, that's a little unrealistic. But the sort of 1689 01:43:08,240 --> 01:43:11,479 Speaker 1: the way diplomacy works when you sort of you know, 1690 01:43:11,560 --> 01:43:15,479 Speaker 1: sort of the formal stuff, the informal stuff, the back channeling, 1691 01:43:15,560 --> 01:43:19,040 Speaker 1: the role the CIA plays, how the CIA really is 1692 01:43:19,760 --> 01:43:22,919 Speaker 1: in the State Department work much closely together than anybody 1693 01:43:22,920 --> 01:43:26,240 Speaker 1: wants to ever fully admit. So I feel like when 1694 01:43:26,240 --> 01:43:28,479 Speaker 1: it comes to that stuff, it's really good. And what 1695 01:43:28,560 --> 01:43:31,880 Speaker 1: I really admire about what The Diplomat did last season is, 1696 01:43:32,920 --> 01:43:35,000 Speaker 1: you know, everybody's been trying to figure out how to 1697 01:43:35,040 --> 01:43:38,960 Speaker 1: portray a Trump like figure. I love that they made 1698 01:43:39,000 --> 01:43:43,240 Speaker 1: the British Prime Minister the Trump like figure rather than 1699 01:43:43,280 --> 01:43:45,200 Speaker 1: trying to make it. You know, they sort of with 1700 01:43:45,280 --> 01:43:49,000 Speaker 1: Michael McKeon, they turned the president. They basically had a 1701 01:43:49,120 --> 01:43:52,439 Speaker 1: Joe Biden like president. Michael McKean I felt like was 1702 01:43:52,640 --> 01:43:58,080 Speaker 1: doing his version of Biden, and then they had the 1703 01:43:58,080 --> 01:44:00,200 Speaker 1: Trump like character be the British Prime Minister. So I 1704 01:44:00,240 --> 01:44:02,880 Speaker 1: thought that was very clever as well. So look, I'm 1705 01:44:02,880 --> 01:44:04,880 Speaker 1: a huge fan. It's number one on my list of 1706 01:44:04,920 --> 01:44:08,400 Speaker 1: the last ten years. I really think it's Kerry Russell's terrific. 1707 01:44:11,280 --> 01:44:13,680 Speaker 1: But I'll be honest, the character and the actor I 1708 01:44:13,720 --> 01:44:18,400 Speaker 1: love the most is a character, the hal Weiler character. 1709 01:44:19,320 --> 01:44:22,200 Speaker 1: I do as we learned, I think it's Richard Holbrook 1710 01:44:22,720 --> 01:44:25,840 Speaker 1: essentially is sort of the backstory of that character. For 1711 01:44:25,880 --> 01:44:30,280 Speaker 1: those of you that are diplomatic history junkies. The actor's 1712 01:44:30,360 --> 01:44:34,200 Speaker 1: name is Rufus Sewell and I first saw him in 1713 01:44:34,720 --> 01:44:38,080 Speaker 1: a TV show called Man in the High Castle. Also 1714 01:44:38,200 --> 01:44:41,679 Speaker 1: another one of my favorite sort of alternative history TV shows. 1715 01:44:42,960 --> 01:44:45,679 Speaker 1: Doesn't it isn't going to make my list. It what's 1716 01:44:45,720 --> 01:44:50,000 Speaker 1: sort of on my radar. He played the American Nazi. 1717 01:44:51,520 --> 01:44:55,120 Speaker 1: He's just you know, he's just one of these character 1718 01:44:55,160 --> 01:44:56,960 Speaker 1: actors that I think is much strong. I think he 1719 01:44:57,000 --> 01:44:59,320 Speaker 1: can be a lead. And I will just say I 1720 01:44:59,479 --> 01:45:03,639 Speaker 1: really joy him. I enjoy his character. I've enjoyed him 1721 01:45:03,680 --> 01:45:07,680 Speaker 1: in almost every show I've seen him in anyway. Diplomat 1722 01:45:07,800 --> 01:45:15,439 Speaker 1: number one on my list. Number two. Number two is 1723 01:45:15,520 --> 01:45:17,760 Speaker 1: one that I've also mentioned. In fact, I mentioned it 1724 01:45:17,800 --> 01:45:20,800 Speaker 1: in the last episode It's for All Mankind. This is 1725 01:45:20,840 --> 01:45:24,840 Speaker 1: another one that I appreciate because you know, it does 1726 01:45:24,840 --> 01:45:28,400 Speaker 1: alternative history. And the whole premise of this show is 1727 01:45:29,240 --> 01:45:33,400 Speaker 1: the Soviets beat the Americans to the moon, and then 1728 01:45:33,880 --> 01:45:37,360 Speaker 1: like part two of it, is the Soviets land put 1729 01:45:37,360 --> 01:45:40,880 Speaker 1: the first woman on the moon before the United States does, 1730 01:45:41,680 --> 01:45:46,519 Speaker 1: and how America would have responded, how our political system 1731 01:45:46,520 --> 01:45:49,400 Speaker 1: would have responded, frankly, how Richard Nixon would have responded. 1732 01:45:50,320 --> 01:45:53,640 Speaker 1: I think this show nailed it. You know, they do 1733 01:45:53,760 --> 01:45:58,920 Speaker 1: these really fun little news vignettes as in between episodes, 1734 01:45:58,920 --> 01:46:02,200 Speaker 1: So if you really focus in, you got to you 1735 01:46:02,240 --> 01:46:04,680 Speaker 1: got to go onto the Apple TV episode website and 1736 01:46:04,680 --> 01:46:07,920 Speaker 1: there'll be these little little vignettes that sort of tell 1737 01:46:07,960 --> 01:46:10,920 Speaker 1: you what's happening, you know, in the in their alternative 1738 01:46:11,000 --> 01:46:16,559 Speaker 1: political timeline. The show itself is not hugely political, although, 1739 01:46:16,840 --> 01:46:20,040 Speaker 1: but they they the timeline is, and the backstory helps 1740 01:46:20,280 --> 01:46:26,120 Speaker 1: at least explain certain decisions. I think they nailed the 1741 01:46:26,160 --> 01:46:29,280 Speaker 1: way they their their predictions and how each party would behave, 1742 01:46:29,840 --> 01:46:34,320 Speaker 1: how each cana would behave. They had these incredible flourishes, 1743 01:46:34,400 --> 01:46:38,080 Speaker 1: like because in their version events, Nixon only has one term, 1744 01:46:38,160 --> 01:46:41,719 Speaker 1: not two, so nobody ever discovers the secret recording mechanism 1745 01:46:41,800 --> 01:46:45,160 Speaker 1: in the White House, and presidents keep it all the 1746 01:46:45,200 --> 01:46:48,280 Speaker 1: way until they have a donas don't tell situation in 1747 01:46:48,320 --> 01:46:54,280 Speaker 1: the nineties. So I just think they I thought the 1748 01:46:54,280 --> 01:47:01,200 Speaker 1: writers did a great job of correctly predicting how the 1749 01:47:01,240 --> 01:47:04,040 Speaker 1: two parties would behave, what kind of candidates would win, 1750 01:47:04,720 --> 01:47:10,280 Speaker 1: which parties would win, which direction things would go anyway. 1751 01:47:10,800 --> 01:47:15,760 Speaker 1: I love it. I think it was intellectually challenging. It's 1752 01:47:15,840 --> 01:47:17,840 Speaker 1: number two on my list from the last ten years, 1753 01:47:18,280 --> 01:47:22,320 Speaker 1: so one diplomat to fro Mankind. Number three is the 1754 01:47:22,360 --> 01:47:25,240 Speaker 1: show that many of us will tell you depicts Washington 1755 01:47:25,320 --> 01:47:30,679 Speaker 1: politicians better than any other, and it's veep. It's sort 1756 01:47:30,680 --> 01:47:35,719 Speaker 1: of what veep Catchers is, how unintended so many things 1757 01:47:35,760 --> 01:47:39,160 Speaker 1: are in Washington that become big deals. You know, there's 1758 01:47:39,200 --> 01:47:43,719 Speaker 1: always this assumption of intentionality in political behavior, whether by presidents, 1759 01:47:43,800 --> 01:47:47,760 Speaker 1: vice president, senators, governors, etc. I can't tell you how 1760 01:47:47,800 --> 01:47:51,479 Speaker 1: often it is sort of accidental in nature, and most 1761 01:47:51,479 --> 01:47:55,160 Speaker 1: of this stuff is more accidental than not on so 1762 01:47:55,280 --> 01:47:58,960 Speaker 1: many levels. You know, I'm a huge fan of butterfly 1763 01:47:59,040 --> 01:48:03,920 Speaker 1: effects or of accidents of history, you know. You know, 1764 01:48:04,000 --> 01:48:06,960 Speaker 1: one of the one of the more interesting ones that 1765 01:48:07,040 --> 01:48:11,840 Speaker 1: I'll share with you now has to do with Donald 1766 01:48:11,840 --> 01:48:16,200 Speaker 1: Trump complaining about Barack Obama's first state dinner, and he 1767 01:48:16,640 --> 01:48:19,160 Speaker 1: calls up the White House basically wanting to either talk 1768 01:48:19,200 --> 01:48:23,440 Speaker 1: to Obama, the White House Social Secretary, David Axelrod, somebody 1769 01:48:23,560 --> 01:48:26,479 Speaker 1: high up, because he had some ideas of how to Hey, 1770 01:48:26,720 --> 01:48:30,719 Speaker 1: you should He has said this recently. He's talked about 1771 01:48:30,760 --> 01:48:32,240 Speaker 1: trying to get a ball room. He thought it was 1772 01:48:32,280 --> 01:48:34,559 Speaker 1: silly that they used tents on the South Line, and 1773 01:48:34,600 --> 01:48:37,800 Speaker 1: he has wanted to help design a ballroom for the 1774 01:48:37,840 --> 01:48:43,040 Speaker 1: White House forever. Well, David Axelrod a minute to me, 1775 01:48:43,120 --> 01:48:45,280 Speaker 1: never return that call. Nobody wanted to be the one 1776 01:48:45,320 --> 01:48:47,120 Speaker 1: to have to return. All who wants to call Donald 1777 01:48:47,120 --> 01:48:48,760 Speaker 1: Trump back? I don't want to do it. I don't 1778 01:48:48,800 --> 01:48:52,120 Speaker 1: want to do it, right, that was the mindset. What 1779 01:48:52,160 --> 01:48:54,240 Speaker 1: if they had called Donald Trump back and had humored 1780 01:48:54,280 --> 01:48:56,080 Speaker 1: him and let him come up with some blueprints for 1781 01:48:57,040 --> 01:49:00,320 Speaker 1: how to do state dinners, maybe in a nice set 1782 01:49:00,320 --> 01:49:04,240 Speaker 1: of tents or something like that. Imagine where we would 1783 01:49:04,240 --> 01:49:06,519 Speaker 1: have been. Well, then again, imagine if the NFL at 1784 01:49:06,560 --> 01:49:10,679 Speaker 1: allowed the Buffalo Bills to sell the team to Donald Trump. 1785 01:49:11,240 --> 01:49:15,560 Speaker 1: But I digress. So one diplomat, two for all mankind 1786 01:49:15,720 --> 01:49:21,040 Speaker 1: three veep. Number four on my list is succession. Look 1787 01:49:21,120 --> 01:49:26,600 Speaker 1: the sort of the media, the nexus of media and politics, 1788 01:49:26,600 --> 01:49:29,080 Speaker 1: which is more important today than it was even thirty 1789 01:49:29,160 --> 01:49:33,120 Speaker 1: years ago, forty years ago, fifty years ago, and frankly 1790 01:49:33,120 --> 01:49:36,559 Speaker 1: wouldn't have been as part of any political storyline even 1791 01:49:36,600 --> 01:49:40,400 Speaker 1: in the eighties and nineties, right, the press wasn't as 1792 01:49:40,560 --> 01:49:43,599 Speaker 1: much of a star, for instance, even of the West wing, 1793 01:49:43,840 --> 01:49:48,320 Speaker 1: you know back then. These days, obviously there's there's much 1794 01:49:48,400 --> 01:49:52,280 Speaker 1: more of a nexus between communications between media and politics. 1795 01:49:52,760 --> 01:49:56,280 Speaker 1: And there's no doubt Succession, you know, And obviously it 1796 01:49:56,880 --> 01:49:59,840 Speaker 1: seemed to hwe fairly closely to the drama inside the 1797 01:50:00,040 --> 01:50:04,840 Speaker 1: Ardoc family when it comes to Fox News. But you know, 1798 01:50:04,880 --> 01:50:11,639 Speaker 1: the small things, the sort of the dufist nepo baby 1799 01:50:11,680 --> 01:50:13,760 Speaker 1: that decides he wants to run for president and gets 1800 01:50:13,760 --> 01:50:17,599 Speaker 1: his one percent right, they just they had these nice 1801 01:50:17,680 --> 01:50:24,679 Speaker 1: little grace notes that felt realistic. Right on one hand, 1802 01:50:24,680 --> 01:50:27,479 Speaker 1: it wasn't. On the other hand, the more we've learned 1803 01:50:27,479 --> 01:50:31,200 Speaker 1: and seen, you're like, oh my god, maybe it was. 1804 01:50:32,680 --> 01:50:35,679 Speaker 1: But when you look at what's been out there, boy 1805 01:50:35,720 --> 01:50:39,120 Speaker 1: did Succession it turned out to be a really smart 1806 01:50:39,720 --> 01:50:43,320 Speaker 1: show about politics as well as sort of behind the 1807 01:50:43,320 --> 01:50:47,759 Speaker 1: scenes when it comes to media moguls. And finally, number 1808 01:50:47,760 --> 01:50:50,160 Speaker 1: five on my list is going to be one where 1809 01:50:50,200 --> 01:50:52,800 Speaker 1: it might surprise you where I'm going, and it's the 1810 01:50:52,840 --> 01:50:55,599 Speaker 1: Walking Debt. Now, the Walking Debt, of course, started before 1811 01:50:55,640 --> 01:50:58,960 Speaker 1: twenty fifteen, but you know, one, I think we're still 1812 01:50:59,040 --> 01:51:02,120 Speaker 1: there's still some Walking Dead franchise out there. But I'll 1813 01:51:02,120 --> 01:51:03,800 Speaker 1: tell you what I loved about the first six or 1814 01:51:03,840 --> 01:51:06,559 Speaker 1: seven or eight or nine or whatever seasons of Walking Dead. 1815 01:51:06,640 --> 01:51:08,880 Speaker 1: I did eventually give up on it. I've not seen 1816 01:51:08,920 --> 01:51:12,479 Speaker 1: all of it, but here's what I thought why I 1817 01:51:12,560 --> 01:51:15,120 Speaker 1: put Walking Down on one of my favorite political TV 1818 01:51:15,200 --> 01:51:17,879 Speaker 1: shows of all time and certainly in the last ten years, 1819 01:51:18,560 --> 01:51:20,280 Speaker 1: is what I thought they did a good job of 1820 01:51:20,400 --> 01:51:25,280 Speaker 1: is sort of understanding how the different ways human beings 1821 01:51:25,400 --> 01:51:28,720 Speaker 1: would try to organize themselves, and the sort of the 1822 01:51:28,800 --> 01:51:32,120 Speaker 1: basic ways right there would be, you know, the charismatic 1823 01:51:32,200 --> 01:51:37,760 Speaker 1: leader might run a benevolent dictatorship in one community, the 1824 01:51:37,880 --> 01:51:44,040 Speaker 1: charismatic leader might run a malevolent dictatorship in another community. 1825 01:51:44,760 --> 01:51:47,680 Speaker 1: One would be super egalitarian. There was another community that 1826 01:51:47,760 --> 01:51:50,559 Speaker 1: was run by all women. There's another, you know, community 1827 01:51:50,560 --> 01:51:53,679 Speaker 1: that seemed to have a lot of democracy for those 1828 01:51:53,720 --> 01:51:57,720 Speaker 1: that had. And then some sort of storm troopers, you know, 1829 01:51:57,760 --> 01:52:01,080 Speaker 1: that we were sort of let loose to do whatever 1830 01:52:01,120 --> 01:52:06,559 Speaker 1: they wanted. It just what I thought they that Walking 1831 01:52:06,600 --> 01:52:12,160 Speaker 1: Dead at its best would capture are how it in 1832 01:52:12,280 --> 01:52:20,280 Speaker 1: some ways help explain how certain certain communities fall under 1833 01:52:20,920 --> 01:52:24,920 Speaker 1: the spell of a dictator, or fall under the spell 1834 01:52:25,080 --> 01:52:27,800 Speaker 1: of a cult leader, or fall you know, or end 1835 01:52:27,880 --> 01:52:33,240 Speaker 1: up just or or end up thriving as a commune, 1836 01:52:33,520 --> 01:52:37,040 Speaker 1: or end up thriving as a democracy that looked familiar 1837 01:52:37,080 --> 01:52:40,160 Speaker 1: to us, but it was all. What was great about 1838 01:52:40,880 --> 01:52:45,519 Speaker 1: different seasons of Walking Dead is these different communities would 1839 01:52:45,560 --> 01:52:52,880 Speaker 1: showcase a certain different way, different political structures that these 1840 01:52:52,920 --> 01:52:56,720 Speaker 1: communities would create in its sort of rawst form. So 1841 01:52:56,840 --> 01:52:58,720 Speaker 1: I found it. As you know, I like to call 1842 01:52:58,720 --> 01:53:02,519 Speaker 1: myself a political anthropol. I think when you think about 1843 01:53:02,680 --> 01:53:05,640 Speaker 1: if that were a if that actually were something you 1844 01:53:05,680 --> 01:53:10,479 Speaker 1: could major in political anthropology, I might make The Walking 1845 01:53:10,520 --> 01:53:14,439 Speaker 1: Dead mandatory viewing for those trying to major in this 1846 01:53:14,560 --> 01:53:17,640 Speaker 1: idea of political anthropology. So there it has it. My 1847 01:53:17,800 --> 01:53:27,400 Speaker 1: five Diplomat for all Mankind, veep succession and those zombies. Look, 1848 01:53:27,840 --> 01:53:30,439 Speaker 1: my issue with The Walking Dead usually were the zombies, Right, 1849 01:53:30,560 --> 01:53:33,360 Speaker 1: Every other part of the show was interesting, and then 1850 01:53:33,520 --> 01:53:35,320 Speaker 1: by the you know, by seasons four or five were like, 1851 01:53:35,320 --> 01:53:38,160 Speaker 1: all right, what's what's the zombie scene going to be 1852 01:53:38,200 --> 01:53:41,320 Speaker 1: this week? Right? That was always the lae And I 1853 01:53:41,360 --> 01:53:44,760 Speaker 1: think that that's probably why this show sort of hit 1854 01:53:44,800 --> 01:53:46,639 Speaker 1: a wall, if you will, right, you sort of got 1855 01:53:47,000 --> 01:53:50,200 Speaker 1: worn out by all the zombie, by all the zombie stuff. 1856 01:53:51,880 --> 01:53:55,519 Speaker 1: But don't I don't want to undersell how smart of 1857 01:53:55,520 --> 01:53:58,840 Speaker 1: a show Walking Dead was, particularly in those in those 1858 01:53:58,880 --> 01:54:02,720 Speaker 1: first eight, nine, ten season. So there's my top five 1859 01:54:02,760 --> 01:54:04,920 Speaker 1: list for the week. Hope you enjoyed it. So with that, 1860 01:54:05,479 --> 01:54:11,080 Speaker 1: let's move to some questions. Ask Chuck, all right, we're 1861 01:54:11,080 --> 01:54:12,880 Speaker 1: gonna try it. I'm gonna try to get through four. 1862 01:54:13,040 --> 01:54:18,960 Speaker 1: My son, ever the Ever the what I would say 1863 01:54:19,760 --> 01:54:22,840 Speaker 1: a nice critic. He thinks I don't answer enough questions. 1864 01:54:22,880 --> 01:54:24,880 Speaker 1: He thinks two or three is not enough. I'm gonna 1865 01:54:24,880 --> 01:54:26,920 Speaker 1: do four. But he's not wrong. I want to start 1866 01:54:27,000 --> 01:54:30,960 Speaker 1: increasing my volume of questions that I answer, which means 1867 01:54:30,960 --> 01:54:32,840 Speaker 1: I got to keep my answer shorter. All right, here 1868 01:54:32,880 --> 01:54:36,280 Speaker 1: we go. First question, Brian from Vero Beach, Dodgertown, Baby, 1869 01:54:36,760 --> 01:54:38,480 Speaker 1: greetings from the Sunshine State. What do you make of 1870 01:54:38,520 --> 01:54:40,640 Speaker 1: the reported plans put President Trump on a dollar coin 1871 01:54:40,680 --> 01:54:44,000 Speaker 1: next year or possibly constructing arcta Trump Supposedly both are 1872 01:54:44,040 --> 01:54:46,880 Speaker 1: to commemorate America's twenty fiftieth birthday. When I first heard 1873 01:54:46,880 --> 01:54:49,640 Speaker 1: about them, I thought both were too fantastical and way 1874 01:54:49,680 --> 01:54:54,200 Speaker 1: outside the boundaries of American tradition. But today Cruise are 1875 01:54:54,200 --> 01:54:55,920 Speaker 1: demolishing the facade of the East Wing to make room 1876 01:54:55,960 --> 01:54:58,160 Speaker 1: for the Trump Ballroom. So perhaps not. It seems like 1877 01:54:58,160 --> 01:55:01,080 Speaker 1: one would never go broke betting on trump'snar someone who 1878 01:55:01,120 --> 01:55:03,680 Speaker 1: can watch rocket launches from my backyard. I love the 1879 01:55:03,720 --> 01:55:09,480 Speaker 1: episode about place exploration. Thank you Brian from Vero Beach. Look, well, 1880 01:55:09,560 --> 01:55:13,960 Speaker 1: let me let me demystify the arc. Okay, in fairness 1881 01:55:14,240 --> 01:55:18,280 Speaker 1: to the proponents of the arc. And I know it's 1882 01:55:18,680 --> 01:55:20,880 Speaker 1: now being deemed the arc d Trump. This is so 1883 01:55:20,920 --> 01:55:24,480 Speaker 1: the idea is this actually was proposed by this commission 1884 01:55:24,520 --> 01:55:28,240 Speaker 1: before Donald Trump took the oath the second time. You know, 1885 01:55:28,280 --> 01:55:31,120 Speaker 1: there's been this two hundred and fiftieth Planning Commission for 1886 01:55:31,200 --> 01:55:34,560 Speaker 1: quite some time, multiple presidents of appointed members. I think, 1887 01:55:34,600 --> 01:55:38,760 Speaker 1: to this committee and this this is a proposal that 1888 01:55:38,880 --> 01:55:41,880 Speaker 1: some people have loved and they figured Trump would like it. 1889 01:55:42,560 --> 01:55:44,520 Speaker 1: And it is not a crazy notion. You go to 1890 01:55:44,520 --> 01:55:47,120 Speaker 1: other cities, they are these arches. Basically, it's almost like 1891 01:55:47,160 --> 01:55:49,880 Speaker 1: a like a gateway, a gate into the city. So 1892 01:55:49,920 --> 01:55:53,200 Speaker 1: the idea of this of this arc would be, I 1893 01:55:53,240 --> 01:55:57,040 Speaker 1: think it's for coming into Memorial Bridge between you know, 1894 01:55:57,160 --> 01:56:00,280 Speaker 1: Arlington Cemetery. It would be on your way to the 1895 01:56:00,320 --> 01:56:03,680 Speaker 1: Lincoln Memorial and you'd have this grand arch and it 1896 01:56:03,720 --> 01:56:07,120 Speaker 1: would be there to commemorate the two hundred and fiftieth anniversary. 1897 01:56:07,520 --> 01:56:13,040 Speaker 1: You know, that's you know, as a country, right and 1898 01:56:13,120 --> 01:56:17,800 Speaker 1: as states at certain significant anniversaries, you many a state, 1899 01:56:18,040 --> 01:56:21,240 Speaker 1: many a country has done these things to commemorate two 1900 01:56:21,320 --> 01:56:25,160 Speaker 1: hundred two twenty five to fifty things like that. So 1901 01:56:27,080 --> 01:56:32,320 Speaker 1: you know, the arc the arch idea of doing that 1902 01:56:32,360 --> 01:56:34,440 Speaker 1: to commemorate two hundred and fifty, because this is something 1903 01:56:34,480 --> 01:56:37,520 Speaker 1: people have talked about before, and we've had other other 1904 01:56:37,600 --> 01:56:41,800 Speaker 1: capital cities have arches that you know that essentially welcome 1905 01:56:41,880 --> 01:56:44,080 Speaker 1: you in as a gateway to the city. So as 1906 01:56:44,160 --> 01:56:46,680 Speaker 1: much as you know, sometimes I think everybody just because 1907 01:56:46,720 --> 01:56:50,720 Speaker 1: Trump proposed it doesn't mean it's a crazy Trump idea. 1908 01:56:50,880 --> 01:56:53,800 Speaker 1: This one emanated from the Commission itself, and this has 1909 01:56:53,840 --> 01:56:57,920 Speaker 1: been an idea that's percolated. Yes, it is gaudy enough 1910 01:56:57,960 --> 01:57:02,040 Speaker 1: and gold leafed enough to get Trump's atten, But now 1911 01:57:02,080 --> 01:57:06,520 Speaker 1: the coin, okay, that is narcissism on a on another level. 1912 01:57:06,560 --> 01:57:10,240 Speaker 1: Now we've we've done this temporary business before. With Eisenhower. 1913 01:57:10,640 --> 01:57:13,360 Speaker 1: There was a quick commemoration of an Eisenhower coin. I 1914 01:57:13,360 --> 01:57:15,880 Speaker 1: think that was what was done as a to mark 1915 01:57:16,560 --> 01:57:19,360 Speaker 1: in seventeen seventy six. I believe that was the choice 1916 01:57:19,360 --> 01:57:22,720 Speaker 1: of the bisentennial coin. But you know, we we had 1917 01:57:22,800 --> 01:57:26,240 Speaker 1: this you know, we've always had this law that says 1918 01:57:26,240 --> 01:57:31,720 Speaker 1: you don't put living people on stamps, coins, et cetera. Right, 1919 01:57:31,880 --> 01:57:35,320 Speaker 1: you don't get a stamp until you die. That's always 1920 01:57:35,320 --> 01:57:39,920 Speaker 1: been sort of that. So I think the coin it 1921 01:57:40,560 --> 01:57:43,120 Speaker 1: sounds like they're gonna they're going to try to make 1922 01:57:43,200 --> 01:57:46,920 Speaker 1: him a commemorative coin. Maybe the Franklin Mint will do it. 1923 01:57:46,960 --> 01:57:50,880 Speaker 1: There's so much garbage Trump stuff out there as it is, 1924 01:57:51,640 --> 01:57:54,080 Speaker 1: it's it's sort of I think it is unfortunate made 1925 01:57:54,200 --> 01:57:57,080 Speaker 1: anything that the US Treasury does look like it's being 1926 01:57:57,120 --> 01:58:01,200 Speaker 1: part of the Maga schlocky, you know, Franklin Mint, garbage 1927 01:58:01,680 --> 01:58:06,200 Speaker 1: that gets marketed to people, that has no value at all. 1928 01:58:08,880 --> 01:58:14,680 Speaker 1: My guess on this coin business, and the smarter way 1929 01:58:14,720 --> 01:58:17,440 Speaker 1: to get around this would be putting out a presidential 1930 01:58:17,480 --> 01:58:20,400 Speaker 1: coin set and put all the present you know, give 1931 01:58:20,440 --> 01:58:22,960 Speaker 1: all the presidents a coin, and you mint everybody a coin. 1932 01:58:23,400 --> 01:58:25,440 Speaker 1: If you want to do that, you know, that would 1933 01:58:25,440 --> 01:58:31,160 Speaker 1: be the to me, the least of the bad ways 1934 01:58:31,240 --> 01:58:34,520 Speaker 1: to commemorate living people on coins, if you were really 1935 01:58:34,520 --> 01:58:38,320 Speaker 1: going to go down this road, right, I will say 1936 01:58:38,320 --> 01:58:41,200 Speaker 1: this and every other the only places that have living 1937 01:58:41,240 --> 01:58:44,720 Speaker 1: people on their money are usually dictatorships. I don't know 1938 01:58:44,760 --> 01:58:47,080 Speaker 1: why we would want to join the ranks of those countries, 1939 01:58:48,640 --> 01:58:51,240 Speaker 1: but I would like I said, I'd separate out the 1940 01:58:51,360 --> 01:58:56,400 Speaker 1: arch from this sort of this laundry list of narcissism 1941 01:58:57,280 --> 01:59:00,880 Speaker 1: charges on that one coin is fair game. His obsession 1942 01:59:00,920 --> 01:59:03,960 Speaker 1: with a ballroom, to me, paving over the Rose Garden 1943 01:59:04,120 --> 01:59:09,520 Speaker 1: was just ridiculous. You could argue we could use that 1944 01:59:09,560 --> 01:59:12,000 Speaker 1: the White House needs a better ballroom. I'm not going 1945 01:59:12,080 --> 01:59:14,480 Speaker 1: to sit here and say he's totally crazy about the 1946 01:59:14,520 --> 01:59:17,640 Speaker 1: notion of a ballroom. The problem is how he's gone, 1947 01:59:17,920 --> 01:59:20,680 Speaker 1: Like with a lot of things, Donald Trump, he may 1948 01:59:20,680 --> 01:59:24,880 Speaker 1: be right about what should about, what about a result 1949 01:59:24,880 --> 01:59:28,280 Speaker 1: we should want, but his ideas to get there are 1950 01:59:28,400 --> 01:59:32,480 Speaker 1: usually not the best ways to do it, and in 1951 01:59:32,520 --> 01:59:35,120 Speaker 1: this case, not going through the White House Historical Association, 1952 01:59:35,720 --> 01:59:39,960 Speaker 1: not sort of making this. I mean, look, Americans aren't 1953 01:59:40,200 --> 01:59:42,560 Speaker 1: going to be knee jerk against this stuff if it 1954 01:59:42,600 --> 01:59:46,000 Speaker 1: feels like it's done for America. When it feels like 1955 01:59:46,080 --> 01:59:49,320 Speaker 1: it's being done for an individual, that's when we recoil. 1956 01:59:49,680 --> 01:59:53,280 Speaker 1: And Trump has presented all of this through the prism 1957 01:59:53,320 --> 01:59:56,920 Speaker 1: of his own personal narcissism, rather look marking the country's 1958 01:59:56,920 --> 01:59:58,880 Speaker 1: toont in fiftieth. Look, I think there should be some 1959 01:59:58,920 --> 02:00:01,160 Speaker 1: sort of marker and a in DC. I think the 1960 02:00:01,280 --> 02:00:04,440 Speaker 1: Arches wouldn't be my first choice, but it's not the 1961 02:00:04,520 --> 02:00:08,560 Speaker 1: craziest idea. Right, this is America at two hundred and fifty. 1962 02:00:10,720 --> 02:00:13,280 Speaker 1: But it's sort of like with everything Trump does, how 1963 02:00:13,280 --> 02:00:17,680 Speaker 1: he goes about it is usually is usually what turns 1964 02:00:17,680 --> 02:00:19,880 Speaker 1: people off. All right? Next question comes from Chase C. 1965 02:00:20,000 --> 02:00:22,680 Speaker 1: Little Rock, Arkansas. Let's go Hogs. Hey, I really enjoyed 1966 02:00:22,720 --> 02:00:24,880 Speaker 1: your piece on the teapot Dome scandal. Speaking of corruption 1967 02:00:24,960 --> 02:00:27,680 Speaker 1: and scandal, I think Arkansas should just bite the bullet 1968 02:00:27,680 --> 02:00:30,960 Speaker 1: and make Bobby Patrino the permanent head coach. After all, 1969 02:00:31,000 --> 02:00:32,760 Speaker 1: we went from losing to a group of five school 1970 02:00:32,800 --> 02:00:34,640 Speaker 1: like Memphis to taking the best team in the SEC, 1971 02:00:34,680 --> 02:00:37,280 Speaker 1: Texas A and M down to the wire. All right, 1972 02:00:37,400 --> 02:00:39,880 Speaker 1: but you only just covered you didn't beat them. But 1973 02:00:40,200 --> 02:00:42,320 Speaker 1: I take your point. Don't we all deserve it fifth 1974 02:00:42,440 --> 02:00:44,560 Speaker 1: or even six chance, especially when it comes with winning. 1975 02:00:44,840 --> 02:00:46,680 Speaker 1: What say you make the Hogs great again? I'll hang 1976 02:00:46,760 --> 02:00:50,680 Speaker 1: up and listen. You know it's funny about Patrino. I 1977 02:00:50,680 --> 02:00:57,720 Speaker 1: think he's got to start winning number one too. If ore, 1978 02:00:59,040 --> 02:01:01,400 Speaker 1: here's the only way. If I were an Arkansas donor, 1979 02:01:02,920 --> 02:01:05,840 Speaker 1: you know, big donor, and I've been and I felt 1980 02:01:05,840 --> 02:01:08,920 Speaker 1: like I was let down before by Petrino. Here's the 1981 02:01:09,040 --> 02:01:13,840 Speaker 1: reason to hire him. He might be the best coast 1982 02:01:13,920 --> 02:01:16,840 Speaker 1: you can get on a bargain. Right, who's going to 1983 02:01:16,920 --> 02:01:20,280 Speaker 1: hire him? In power? In the power for I don't 1984 02:01:20,320 --> 02:01:25,520 Speaker 1: think anybody serious but Arkansas right now, which means Arkansas 1985 02:01:25,640 --> 02:01:28,520 Speaker 1: is all the leverage and if you can save money, 1986 02:01:28,560 --> 02:01:30,640 Speaker 1: but you might get a quality head coach, at least 1987 02:01:30,640 --> 02:01:35,920 Speaker 1: on the offensive side. But essentially he's on a short leash, like, look, 1988 02:01:36,200 --> 02:01:41,200 Speaker 1: you don't get the the the ten year contract so 1989 02:01:41,240 --> 02:01:44,200 Speaker 1: that there's some eighty million dollars buyout because sorry, buddy 1990 02:01:44,560 --> 02:01:50,080 Speaker 1: neck brace, Bobby doesn't get that. That's about the only way, 1991 02:01:50,360 --> 02:01:54,600 Speaker 1: as a board of trustees person of how I could 1992 02:01:55,400 --> 02:02:00,480 Speaker 1: essentially swallow my morals and ethics that say, all right, 1993 02:02:00,560 --> 02:02:04,720 Speaker 1: we'll give him a six chance. But there's got to 1994 02:02:04,760 --> 02:02:08,800 Speaker 1: be some upside for the university and for the donor community. 1995 02:02:08,840 --> 02:02:12,840 Speaker 1: And the upside should be there's no buyout. One's transgression, 1996 02:02:12,880 --> 02:02:16,080 Speaker 1: you're out, and there's no eighty million dollar windfall, fifty 1997 02:02:16,120 --> 02:02:22,080 Speaker 1: million dollar windfall, whatever it is. So and look, if 1998 02:02:22,120 --> 02:02:25,120 Speaker 1: you told me that that's I will tell you this, 1999 02:02:25,160 --> 02:02:27,880 Speaker 1: if you're a Hogs fan, if if they go down, 2000 02:02:27,960 --> 02:02:32,360 Speaker 1: if they do go down the Patrino road, it means 2001 02:02:32,360 --> 02:02:35,680 Speaker 1: that they'd rather focus on basketball and baseball, and they're 2002 02:02:35,680 --> 02:02:38,760 Speaker 1: trying to do football on the cheap because Petrino is 2003 02:02:38,760 --> 02:02:40,960 Speaker 1: probably the best coach you can get at a bargain price. 2004 02:02:43,320 --> 02:02:45,800 Speaker 1: All right, I'll be curious what you think of that one, Chase, Thanks. 2005 02:02:46,080 --> 02:02:49,360 Speaker 1: Next question comes from Josh B. He writes, do you 2006 02:02:49,360 --> 02:02:52,000 Speaker 1: think message or experienced background matters more? For example, could 2007 02:02:52,000 --> 02:02:53,960 Speaker 1: a Gavin Newsom with the right message playing in the 2008 02:02:54,000 --> 02:02:57,000 Speaker 1: Midwest or South or will this coastal background drawn out 2009 02:02:57,040 --> 02:03:01,360 Speaker 1: that message? Thanks? So, I think what have we learned 2010 02:03:01,920 --> 02:03:04,680 Speaker 1: of the successful two term presidents? I do think message 2011 02:03:04,720 --> 02:03:10,080 Speaker 1: Trump's everything. I think charisma Trump's everything you can overcome. 2012 02:03:11,200 --> 02:03:15,040 Speaker 1: You know, in theory, should a NEPO baby like George W. 2013 02:03:15,120 --> 02:03:18,240 Speaker 1: Bush been the obvious you know answer in two thousand? 2014 02:03:18,360 --> 02:03:21,160 Speaker 1: Probably not. But he had his own way about him 2015 02:03:22,160 --> 02:03:25,480 Speaker 1: that that worked. He had a type of charisma, you know. 2016 02:03:25,720 --> 02:03:29,360 Speaker 1: Barack Hussein Obama on paper a guy from Chicago? Is 2017 02:03:29,440 --> 02:03:32,960 Speaker 1: Chicago the best place to run for national office? Froom, right? 2018 02:03:33,080 --> 02:03:36,440 Speaker 1: Is New York City for Donald Trump. So and I 2019 02:03:36,440 --> 02:03:38,120 Speaker 1: sit here and do I think a former mayor of 2020 02:03:38,160 --> 02:03:40,280 Speaker 1: San Francisco can carry the state of Michigan. No, right, 2021 02:03:40,600 --> 02:03:45,240 Speaker 1: I don't. Do I think that a really good political 2022 02:03:45,240 --> 02:03:52,160 Speaker 1: athlete can overcome those things? Answers Yes, And so I 2023 02:03:52,200 --> 02:03:55,560 Speaker 1: am while I have like, I think there's you know, 2024 02:03:56,040 --> 02:04:01,560 Speaker 1: there's so many pieces of Gavin new some background that 2025 02:04:01,680 --> 02:04:07,000 Speaker 1: would have been non starters in previous campaigns that I 2026 02:04:07,520 --> 02:04:10,760 Speaker 1: sometimes fear I'm too dismissive of his chances because in 2027 02:04:10,760 --> 02:04:13,920 Speaker 1: some ways I'm holding him. I'm holding him to a 2028 02:04:13,960 --> 02:04:16,680 Speaker 1: criteria that mattered ten years ago, but it may not 2029 02:04:16,760 --> 02:04:23,320 Speaker 1: matter now, right, And I also think that there is 2030 02:04:25,200 --> 02:04:27,200 Speaker 1: you know, the Gaven Nusoms today is a lot different 2031 02:04:27,240 --> 02:04:31,440 Speaker 1: than the guy who started issuing marriage licenses in San 2032 02:04:31,440 --> 02:04:34,240 Speaker 1: Francisco back in the in the first decade of the 2033 02:04:34,520 --> 02:04:38,920 Speaker 1: twenty first century. You know, it's funny. He's a fairly 2034 02:04:38,960 --> 02:04:41,920 Speaker 1: young guy for politics, in his late fifties, and it 2035 02:04:41,920 --> 02:04:44,120 Speaker 1: feels like he's been around forever, right, because he kind 2036 02:04:44,160 --> 02:04:51,040 Speaker 1: of has. Right, He's basically been a major player in 2037 02:04:51,080 --> 02:04:54,280 Speaker 1: California park At politics for the entire twenty first century. 2038 02:04:56,520 --> 02:05:01,680 Speaker 1: And so I think it's possible, but you have to 2039 02:05:01,720 --> 02:05:07,240 Speaker 1: almost dominate the attention economy. I mean, I would go 2040 02:05:07,280 --> 02:05:09,080 Speaker 1: take a look at this. Chris Haes up ed in 2041 02:05:09,120 --> 02:05:11,720 Speaker 1: the New York Times from a couple of days ago 2042 02:05:12,240 --> 02:05:16,320 Speaker 1: that talked about that he thinks the next successful Democrat 2043 02:05:16,480 --> 02:05:20,240 Speaker 1: will be successful essentially because they dominate the attention economy. 2044 02:05:21,120 --> 02:05:26,440 Speaker 1: And I will say this, that's a skill sket Gavin 2045 02:05:26,440 --> 02:05:28,800 Speaker 1: Newsom has that ten years ago wouldn't have been seen 2046 02:05:28,800 --> 02:05:31,400 Speaker 1: as an asset, and today is seen as an asset. 2047 02:05:33,360 --> 02:05:34,680 Speaker 1: All right, I don't want to sneak in one more 2048 02:05:34,720 --> 02:05:38,440 Speaker 1: question here. This one comes from Chris k Good morning 2049 02:05:38,440 --> 02:05:40,800 Speaker 1: from Greenville, South Carolina. My Hawkey's had a messy win 2050 02:05:40,800 --> 02:05:42,840 Speaker 1: against Penn State, but hey, a win is a win. 2051 02:05:43,600 --> 02:05:46,120 Speaker 1: I know. How about the fact that both Penn State, 2052 02:05:46,160 --> 02:05:49,040 Speaker 1: Florida State, and Auburn, all three schools as of October 2053 02:05:49,080 --> 02:05:56,200 Speaker 1: twenty second, have no wins in their respective conferences, no wins. 2054 02:05:56,320 --> 02:05:58,880 Speaker 1: Penn State has not a single Big ten victory, Florida 2055 02:05:58,920 --> 02:06:03,200 Speaker 1: State not a single acccory, Auburn not a single SEC victory. Anyway, 2056 02:06:03,680 --> 02:06:06,960 Speaker 1: but I digress back to Chris. I'm eagerly looking forward 2057 02:06:07,000 --> 02:06:08,840 Speaker 1: to your weekend review. And what's to come and college 2058 02:06:08,840 --> 02:06:10,920 Speaker 1: football is tough weekend for Miami. But in my opinion, 2059 02:06:11,120 --> 02:06:12,920 Speaker 1: this has been the most entertaining first half of college 2060 02:06:12,920 --> 02:06:14,760 Speaker 1: football in a long time. Question. My wife is flying 2061 02:06:14,760 --> 02:06:17,120 Speaker 1: this weekend to visit family, and it's been causing some 2062 02:06:17,200 --> 02:06:19,760 Speaker 1: stress and off the comments as she travels through Newark. 2063 02:06:20,600 --> 02:06:24,160 Speaker 1: Avoid Newark. You've got to try to avoid Newark. Has 2064 02:06:24,240 --> 02:06:26,960 Speaker 1: privatizing air traffic controllers been discussed as an alternative to 2065 02:06:27,000 --> 02:06:29,440 Speaker 1: the current system. I understand that MESSI travel can lead 2066 02:06:29,480 --> 02:06:31,680 Speaker 1: to pressure to get Congress back to work and then 2067 02:06:31,720 --> 02:06:34,000 Speaker 1: the shutdown as a follow up. Is there a situation 2068 02:06:34,040 --> 02:06:36,760 Speaker 1: where both sides can say face and get back to business. Look, 2069 02:06:36,800 --> 02:06:39,640 Speaker 1: I do think we're there, you know, I keep saying 2070 02:06:39,800 --> 02:06:44,520 Speaker 1: that in some ways there's acknowledgment. These healthcare subsidies need 2071 02:06:44,560 --> 02:06:48,120 Speaker 1: to be discussed. It's more front and center now than 2072 02:06:48,160 --> 02:06:53,360 Speaker 1: that has been. You have Republicans ready to negotiate, but 2073 02:06:53,960 --> 02:06:56,400 Speaker 1: they can stick to their guns saying open the government 2074 02:06:56,440 --> 02:06:59,080 Speaker 1: then will negotiate and Democrats can say they've got what 2075 02:06:59,080 --> 02:07:01,320 Speaker 1: they want and they can they could be I kind 2076 02:07:01,320 --> 02:07:05,400 Speaker 1: of you know, the Republicans in general are much better 2077 02:07:05,640 --> 02:07:07,720 Speaker 1: at figuring out how to take a small win and 2078 02:07:07,760 --> 02:07:11,120 Speaker 1: declare victory, you know, small progress and declare victory. Democrats 2079 02:07:11,160 --> 02:07:15,280 Speaker 1: sometimes get seventy five percent of what they want and 2080 02:07:15,320 --> 02:07:18,200 Speaker 1: then project as if they lost something, and you're like, no, 2081 02:07:18,400 --> 02:07:20,520 Speaker 1: you got you know. I remember during you know, the 2082 02:07:20,560 --> 02:07:23,200 Speaker 1: passage of Obamacare, because they didn't get the public option, 2083 02:07:23,280 --> 02:07:26,880 Speaker 1: they behaved as if they failed, and it's like, good grief, 2084 02:07:27,840 --> 02:07:32,200 Speaker 1: you didn't fail, you know, So it is so it is, 2085 02:07:32,760 --> 02:07:36,880 Speaker 1: you know. I never, I never can underestimate the possibility 2086 02:07:36,880 --> 02:07:40,240 Speaker 1: that Democrats don't know how to how to take a 2087 02:07:40,280 --> 02:07:45,640 Speaker 1: small a small win and declare victory. But you're asking 2088 02:07:45,640 --> 02:07:50,720 Speaker 1: about specific air travel. Look, there's been talk of privatizing 2089 02:07:51,920 --> 02:07:59,520 Speaker 1: air traffic controllers before, It's been talk of privatizing TSA before. 2090 02:08:01,080 --> 02:08:05,080 Speaker 1: I just think that, let's put it this way, privatizing 2091 02:08:05,200 --> 02:08:11,600 Speaker 1: prison guards hasn't been great for the prison system, and 2092 02:08:11,800 --> 02:08:14,440 Speaker 1: I think that because that experiment has really been more 2093 02:08:14,480 --> 02:08:17,560 Speaker 1: of a failure than a success, I think there's going 2094 02:08:17,600 --> 02:08:19,680 Speaker 1: to be a lot of hesitation. We already have a 2095 02:08:19,720 --> 02:08:23,240 Speaker 1: lot of trust issues, you know, putting that in the 2096 02:08:23,280 --> 02:08:27,600 Speaker 1: hands of the private sector, and who would get it 2097 02:08:27,600 --> 02:08:29,960 Speaker 1: it is, you know, at this point, I think I 2098 02:08:30,000 --> 02:08:33,480 Speaker 1: want to hold government officials accountable, not some corporation that 2099 02:08:33,520 --> 02:08:39,840 Speaker 1: we don't necessarily have the ability to hold accountable immediately, right, 2100 02:08:43,080 --> 02:08:49,320 Speaker 1: But Newark specifically is just prone to all sorts of problems. 2101 02:08:49,800 --> 02:08:53,680 Speaker 1: The way they're set up works for air traffic controllers 2102 02:08:53,680 --> 02:08:55,879 Speaker 1: that's sort of separated from the rest of the system 2103 02:08:56,320 --> 02:08:59,240 Speaker 1: in the tri state region there, and they've been trying 2104 02:08:59,280 --> 02:09:01,320 Speaker 1: to fix this, but they have a lot of sick outs. 2105 02:09:01,320 --> 02:09:04,160 Speaker 1: They have a lot. Anyway, if it's at all possible 2106 02:09:04,200 --> 02:09:08,320 Speaker 1: to avoid Newark, I have just done everything. I've had 2107 02:09:08,400 --> 02:09:12,000 Speaker 1: multiple nightmares going through Newark in the past. I simply 2108 02:09:12,040 --> 02:09:15,120 Speaker 1: make that an airport I try to avoid. Sometimes you can't, 2109 02:09:15,480 --> 02:09:18,720 Speaker 1: you know, particularly if you're flying United overseas. Almost ninety 2110 02:09:18,760 --> 02:09:20,440 Speaker 1: percent of those flights M and eight out of Newark, 2111 02:09:21,280 --> 02:09:24,000 Speaker 1: and you're sort of stuck doing that. But if you're 2112 02:09:24,000 --> 02:09:28,280 Speaker 1: traveling domestically, there's usually an alternative to Newark, and I'd 2113 02:09:28,320 --> 02:09:35,720 Speaker 1: highly recommend it. But I I think privatizing TSA security 2114 02:09:36,520 --> 02:09:39,160 Speaker 1: makes more sense than doing air traffic controllers in the moment, 2115 02:09:39,800 --> 02:09:44,360 Speaker 1: especially since ultimately the systems that are in place, you know, 2116 02:09:44,600 --> 02:09:48,120 Speaker 1: with air traffic controllers are going to be always you know, 2117 02:09:48,200 --> 02:09:54,160 Speaker 1: implemented by the by the by the government. Where TSA. 2118 02:09:54,480 --> 02:09:57,240 Speaker 1: You know, different airport authorities do different things, different security. 2119 02:09:57,320 --> 02:09:59,520 Speaker 1: So you know, if you if you wanted to go 2120 02:09:59,560 --> 02:10:03,560 Speaker 1: down that, I probably would start with TSA security first. 2121 02:10:04,080 --> 02:10:06,400 Speaker 1: I would not do that with the air traffic controllers 2122 02:10:06,440 --> 02:10:08,240 Speaker 1: right away. Maybe you see how that goes for a 2123 02:10:08,240 --> 02:10:13,600 Speaker 1: while before you think about that. All right, I'll sneak 2124 02:10:13,600 --> 02:10:16,280 Speaker 1: in one more question. This comes from Judar Hey. When 2125 02:10:16,280 --> 02:10:18,320 Speaker 1: the story about the swastika on the American flag broke, 2126 02:10:18,320 --> 02:10:20,400 Speaker 1: it was first reported by The Rooster in Independent Ohio 2127 02:10:20,480 --> 02:10:23,720 Speaker 1: journalists known for covering local politics. Larger outlets like Politico 2128 02:10:23,800 --> 02:10:26,520 Speaker 1: later ran the story, citing quote independent sources, but without 2129 02:10:26,560 --> 02:10:29,600 Speaker 1: crediting him. Wow, what a BS thing to do. Come on, Politico, 2130 02:10:29,840 --> 02:10:32,320 Speaker 1: be better. What does this say about the state of 2131 02:10:32,360 --> 02:10:35,120 Speaker 1: local journalism? And how can independent reporters get recognition for 2132 02:10:35,160 --> 02:10:38,280 Speaker 1: breaking big stories in an era when we need more 2133 02:10:38,280 --> 02:10:45,680 Speaker 1: of them? Thanks shaming Politica. Right. In the sports world, 2134 02:10:45,920 --> 02:10:48,720 Speaker 1: there was It was interesting during the early days of 2135 02:10:48,760 --> 02:10:51,520 Speaker 1: the Athletic when they were not owned by the New 2136 02:10:51,600 --> 02:10:53,920 Speaker 1: York Times, that they were their own up and coming enterprise. 2137 02:10:54,560 --> 02:10:57,800 Speaker 1: They were in between that barstool. There were all these 2138 02:10:57,880 --> 02:11:01,480 Speaker 1: up and coming independent sports outlets that were constantly breaking 2139 02:11:01,520 --> 02:11:04,600 Speaker 1: news before ESPN reported it, and ESPN would do like 2140 02:11:04,680 --> 02:11:08,200 Speaker 1: sources or generic and there was just this massive shame 2141 02:11:08,640 --> 02:11:11,720 Speaker 1: campaign and you know what ESPN started to do, and 2142 02:11:11,720 --> 02:11:14,240 Speaker 1: they've done it a lot now I think they've overcorrected. 2143 02:11:14,680 --> 02:11:17,120 Speaker 1: You know, they'll report, you know, to me. You know, 2144 02:11:17,160 --> 02:11:19,840 Speaker 1: you report about a signing. At some point, it's just 2145 02:11:19,880 --> 02:11:21,640 Speaker 1: a signing. And if you weren't first, you know, if 2146 02:11:21,680 --> 02:11:23,520 Speaker 1: you ain't first, your last, so it doesn't matter anymore. 2147 02:11:23,960 --> 02:11:27,160 Speaker 1: But you know, there's there's sort of commodity news and 2148 02:11:27,280 --> 02:11:30,000 Speaker 1: unique news. Right, there's news you've been that simply you 2149 02:11:30,000 --> 02:11:32,880 Speaker 1: were the first. It's news everybody would be reporting. You 2150 02:11:32,960 --> 02:11:35,440 Speaker 1: just happen to get it first. Then there's like news 2151 02:11:35,480 --> 02:11:38,360 Speaker 1: you unearth and you force to get reported that maybe 2152 02:11:38,440 --> 02:11:42,000 Speaker 1: wasn't planning to be reported. Right, that's a that's a 2153 02:11:42,040 --> 02:11:44,600 Speaker 1: super scoop, right, this falls into that category. That's a 2154 02:11:44,960 --> 02:11:48,040 Speaker 1: that's a that's a story when they when a handout, right, 2155 02:11:48,520 --> 02:11:51,600 Speaker 1: a lot of times these football and baseball and basketball 2156 02:11:51,640 --> 02:11:54,840 Speaker 1: free agent signings or handout. But the shame campaign worked. 2157 02:11:54,880 --> 02:11:56,920 Speaker 1: I mean, if you watch the ESPN ticker, they'll be 2158 02:11:57,080 --> 02:12:00,120 Speaker 1: like you know so, and so you know correct to 2159 02:12:00,160 --> 02:12:02,640 Speaker 1: rant sign extension. You know, story first reported by Yahoo 2160 02:12:02,640 --> 02:12:09,680 Speaker 1: sports and they now do that regularly, and so shame, shame, shame. 2161 02:12:09,840 --> 02:12:13,200 Speaker 1: You know. Look, I'm you know, hopefully, and this is 2162 02:12:13,240 --> 02:12:15,400 Speaker 1: why I'd like to figure out a way to create 2163 02:12:15,440 --> 02:12:18,360 Speaker 1: an entity that can sort of network all of these 2164 02:12:18,400 --> 02:12:22,320 Speaker 1: great independent startups together, because I think, you know, if 2165 02:12:22,680 --> 02:12:25,680 Speaker 1: we can have a lot of these small local outlets 2166 02:12:25,760 --> 02:12:29,360 Speaker 1: have a sort of a national spine to feed off 2167 02:12:29,400 --> 02:12:34,120 Speaker 1: of as a resource, then you have you Suddenly you 2168 02:12:34,240 --> 02:12:36,680 Speaker 1: have people that can help make sure you're getting proper 2169 02:12:36,720 --> 02:12:41,400 Speaker 1: credit for your scoops. But the best way to do 2170 02:12:41,440 --> 02:12:46,640 Speaker 1: it and what they successful what Yahoo Sports, the Athletic 2171 02:12:46,920 --> 02:12:51,480 Speaker 1: barstool all successfully pulled off with ESPN and their ticker 2172 02:12:52,080 --> 02:12:58,120 Speaker 1: was shame and it worked. So come on, Politico, give 2173 02:12:58,280 --> 02:13:02,400 Speaker 1: the rooster it's cock a doodle doo? Will you give 2174 02:13:02,480 --> 02:13:06,920 Speaker 1: the rooster its right to prompt prants around on this scoop? Sorry, 2175 02:13:06,920 --> 02:13:10,120 Speaker 1: I was trying some bad dad humor there, so Jude, 2176 02:13:10,160 --> 02:13:14,120 Speaker 1: don't hold that against me. All right? With that? The 2177 02:13:14,120 --> 02:13:16,040 Speaker 1: good news is I'll be back in twenty four hours 2178 02:13:16,360 --> 02:13:20,880 Speaker 1: with a brand new episode, brand new set of set 2179 02:13:20,920 --> 02:13:25,400 Speaker 1: of observations and news nuggets for you to digest. But 2180 02:13:25,560 --> 02:13:29,080 Speaker 1: until then, I'll see you in twenty four hours. Thanks 2181 02:13:29,120 --> 02:13:31,960 Speaker 1: for listening, Please like and subscribe, tell a friend, and 2182 02:13:32,040 --> 02:13:32,960 Speaker 1: until we upload again,