1 00:00:05,360 --> 00:00:09,040 Speaker 1: Hello, Brian Goldsmith. Hi, Katie Kirk. Well, I know you 2 00:00:09,080 --> 00:00:14,440 Speaker 1: are very, very excited about our I can't even contain myself. Seriously, 3 00:00:15,160 --> 00:00:18,520 Speaker 1: we're going to be talking to Stan Greenberg. Why don't 4 00:00:18,520 --> 00:00:22,720 Speaker 1: you give a quick bio of stand for our listeners. Brian, Well, 5 00:00:22,760 --> 00:00:25,759 Speaker 1: he's definitely in the Polster Hall of Fame, which is 6 00:00:25,880 --> 00:00:29,000 Speaker 1: visited slightly less frequently than the Baseball Hall of Fame. 7 00:00:29,800 --> 00:00:33,400 Speaker 1: Who that sounds like a fun saturday, you know for 8 00:00:33,440 --> 00:00:36,240 Speaker 1: some of us he was. He was the top polster 9 00:00:36,400 --> 00:00:41,440 Speaker 1: for President Bill Clinton, Al Gore in two thousand, Tony 10 00:00:41,560 --> 00:00:45,920 Speaker 1: Blair in the u K. Nelson Mandela Israeli Prime Minister 11 00:00:46,080 --> 00:00:48,320 Speaker 1: Edhud Barack. He's really had an amazing career, both as 12 00:00:48,320 --> 00:00:52,599 Speaker 1: an academic and as a political strategist, and he has 13 00:00:52,640 --> 00:00:56,120 Speaker 1: spent a lot of time recently talking to one time 14 00:00:56,160 --> 00:01:00,720 Speaker 1: Democrats and Obama supporters who switched to back Donald Trump. 15 00:01:01,240 --> 00:01:06,360 Speaker 1: Would you say he's a wise man who says only 16 00:01:06,560 --> 00:01:17,679 Speaker 1: fools Russian? But Brian can't help alright, I'm getting a 17 00:01:17,720 --> 00:01:21,919 Speaker 1: little jealous. Actually, I think he's a fascinating guy and 18 00:01:22,319 --> 00:01:24,640 Speaker 1: it was fun to talk to him about everything what 19 00:01:24,800 --> 00:01:28,880 Speaker 1: happened in the two thousand and sixteen election, and most importantly, 20 00:01:29,160 --> 00:01:33,400 Speaker 1: how people are feeling about Donald Trump these days, specifically 21 00:01:33,480 --> 00:01:37,160 Speaker 1: people in Macomb County in Michigan. He really has his 22 00:01:37,240 --> 00:01:41,080 Speaker 1: finger on the pulse of people who are white working 23 00:01:41,120 --> 00:01:46,400 Speaker 1: class voters and how they're feeling about Donald Trump. Today. 24 00:01:46,520 --> 00:01:48,920 Speaker 1: We're also going to hear from a voter in Chicago, 25 00:01:49,000 --> 00:01:52,440 Speaker 1: a lifelong Democrat who supported Obama who switched to Donald 26 00:01:52,440 --> 00:01:55,480 Speaker 1: Trump last year. Find out what she thinks about how 27 00:01:55,520 --> 00:01:58,560 Speaker 1: he's doing in office. And uh, we'll get to that 28 00:01:58,600 --> 00:02:05,280 Speaker 1: in a little bit. But first here Stan Greenberg. Stan Greenberg, 29 00:02:05,400 --> 00:02:08,240 Speaker 1: it is such a thrill to have you on our podcast, 30 00:02:08,280 --> 00:02:11,919 Speaker 1: and I have to tell you my friend Brian Goldsmith 31 00:02:12,040 --> 00:02:17,320 Speaker 1: is completely gegeging out right now. Why Brian, Because if 32 00:02:17,360 --> 00:02:21,280 Speaker 1: you care about politics and polling, you know Stan is 33 00:02:21,520 --> 00:02:23,720 Speaker 1: a bit of an icon in those worlds. He's probably 34 00:02:23,760 --> 00:02:27,400 Speaker 1: the most important progressive poster ever and he has some 35 00:02:27,480 --> 00:02:31,120 Speaker 1: really interesting stuff to say about the voters who supported 36 00:02:31,160 --> 00:02:33,640 Speaker 1: Donald Trump. So I'm really excited about this conversation. But 37 00:02:33,720 --> 00:02:40,519 Speaker 1: stand before I'm with you, well, but before we talk 38 00:02:40,600 --> 00:02:44,359 Speaker 1: about this latest focus group that you did in Macomb County, 39 00:02:44,360 --> 00:02:47,000 Speaker 1: I just wanted to ask you quickly Stan, you have 40 00:02:47,080 --> 00:02:51,200 Speaker 1: a very impressive CV, I must say, for somebody who 41 00:02:51,280 --> 00:02:53,760 Speaker 1: is in this line of work, can you just tell 42 00:02:53,840 --> 00:02:57,880 Speaker 1: us briefly kind of how you got here. Well, it 43 00:02:57,960 --> 00:03:00,639 Speaker 1: certainly wasn't part of any plan. And I always thought, 44 00:03:00,680 --> 00:03:02,799 Speaker 1: you know, I was going to be a professor. I 45 00:03:03,160 --> 00:03:05,920 Speaker 1: got my PhD. I began teaching very early at you know, 46 00:03:06,000 --> 00:03:09,080 Speaker 1: at Yale. You know, I was very active politically, but 47 00:03:09,120 --> 00:03:12,799 Speaker 1: my academic life was separate, um, you know, from my 48 00:03:12,960 --> 00:03:16,440 Speaker 1: you know, political you know work. So I began studying 49 00:03:16,520 --> 00:03:19,720 Speaker 1: what was happening in poor neighborhoods and working people, you know, 50 00:03:19,760 --> 00:03:22,720 Speaker 1: at at an early end, at early point. And gerally 51 00:03:22,800 --> 00:03:25,880 Speaker 1: broke through in politics with the study you did in 52 00:03:27,240 --> 00:03:30,080 Speaker 1: of the so called Reagan Democrats. I mean, some people 53 00:03:30,120 --> 00:03:33,000 Speaker 1: have given you credit for inventing that term, but these 54 00:03:33,040 --> 00:03:36,760 Speaker 1: were people who historically had voted for Jack Kennedy, for 55 00:03:36,840 --> 00:03:39,880 Speaker 1: Lyndon Johnson, even for Jimmy Carter, and they broke for 56 00:03:40,040 --> 00:03:43,360 Speaker 1: Ronald Reagan. And you were sent there to investigate why 57 00:03:43,400 --> 00:03:45,520 Speaker 1: and how that happened. And can you tell us a 58 00:03:45,560 --> 00:03:49,320 Speaker 1: little bit about what you learned then? In I was 59 00:03:49,440 --> 00:03:52,360 Speaker 1: while I was still teaching a Gale Um, I was 60 00:03:52,440 --> 00:03:55,119 Speaker 1: asked by the U a W and the Michigan Democratic 61 00:03:55,160 --> 00:03:59,720 Speaker 1: Party try to understand the Reagan Democrats starting in McComb County, 62 00:03:59,720 --> 00:04:03,000 Speaker 1: and McComb County was a one of the most democratic, 63 00:04:03,640 --> 00:04:09,280 Speaker 1: unionized Catholic counties that have voted overwhelmingly for John Kennedy UM, 64 00:04:09,320 --> 00:04:13,520 Speaker 1: but cast a very big vote for Ronald Reagan and 65 00:04:13,600 --> 00:04:16,640 Speaker 1: really shattered UM for the North. A lot of illusions 66 00:04:17,160 --> 00:04:20,640 Speaker 1: UM about where the party stand and how they'll be 67 00:04:20,680 --> 00:04:23,080 Speaker 1: shaped in the future and stand in a way, was 68 00:04:23,120 --> 00:04:34,600 Speaker 1: this election like deja vu all over again? Yeah, I wrote, 69 00:04:32,600 --> 00:04:38,400 Speaker 1: I wrote. I wrote a piece after you know, you know, 70 00:04:38,400 --> 00:04:43,000 Speaker 1: Obama's election in which I basically said, goodbye Macomb County, 71 00:04:44,000 --> 00:04:47,080 Speaker 1: you know, because we have this first African American president 72 00:04:47,080 --> 00:04:51,719 Speaker 1: who carried McComb County. And so if that was true, 73 00:04:51,839 --> 00:04:53,839 Speaker 1: it's it's obviously time to move on. Particularly if you 74 00:04:53,839 --> 00:04:56,640 Speaker 1: look in Oakland County, which was the affluent suburb next door, 75 00:04:57,600 --> 00:04:59,919 Speaker 1: you wish it was an even much bigger majority for 76 00:05:00,080 --> 00:05:03,000 Speaker 1: or Democrats. And so the signal was We've done a 77 00:05:03,040 --> 00:05:05,080 Speaker 1: lot to win, you know, to win these kinds of voters. 78 00:05:05,120 --> 00:05:07,120 Speaker 1: But you know, but if you look at what's happening 79 00:05:07,120 --> 00:05:10,000 Speaker 1: in the most affluent and best educated parts of the country. 80 00:05:10,320 --> 00:05:12,839 Speaker 1: Democrats are building up bigger and bigger majorities. They are 81 00:05:12,880 --> 00:05:15,760 Speaker 1: also becoming more diverse, you know, more you know, immigrant 82 00:05:15,760 --> 00:05:19,600 Speaker 1: and ethnic as well. UM in the future lies there. Well, 83 00:05:19,760 --> 00:05:23,880 Speaker 1: Macomb had a you know, made its point now because 84 00:05:24,000 --> 00:05:28,039 Speaker 1: the margin in MacComb in two thousand and sixteen was 85 00:05:28,320 --> 00:05:32,320 Speaker 1: by far bigger than the statewide margin that Trump won 86 00:05:33,279 --> 00:05:35,720 Speaker 1: UM and part of him winning and this say is 87 00:05:35,800 --> 00:05:39,279 Speaker 1: something really interesting about our politics more broadly, because you 88 00:05:39,320 --> 00:05:43,240 Speaker 1: have working class Macomb County, Michigan, which is historically Democratic, 89 00:05:43,680 --> 00:05:46,960 Speaker 1: and that went for Trump by almost twelve points. And then, 90 00:05:47,080 --> 00:05:51,040 Speaker 1: as you mentioned next story, you've got more upscale, business 91 00:05:51,040 --> 00:05:54,839 Speaker 1: oriented Oakland County, which is historically Republican, and that went 92 00:05:54,880 --> 00:05:58,120 Speaker 1: for Hillary by eight. And so you've had almost this 93 00:05:58,160 --> 00:06:00,839 Speaker 1: flip in our politics where the the kind of the 94 00:06:00,839 --> 00:06:04,080 Speaker 1: auto executives are now voting Democratic and the former line 95 00:06:04,080 --> 00:06:08,120 Speaker 1: workers are voting Republican. Yeah, which is why I decided 96 00:06:08,120 --> 00:06:10,159 Speaker 1: to go back to Macomb and all and to listen 97 00:06:10,200 --> 00:06:14,360 Speaker 1: to these voters. The I decided we can organize for 98 00:06:15,040 --> 00:06:17,680 Speaker 1: you know, groups with all Trump voters, all were working 99 00:06:17,680 --> 00:06:22,320 Speaker 1: class white Trump voters UM in an environment where they 100 00:06:22,360 --> 00:06:25,080 Speaker 1: would be comfortable speaking about their lives, you know, and 101 00:06:25,080 --> 00:06:30,040 Speaker 1: their values and uh and you know, and try to 102 00:06:30,080 --> 00:06:32,360 Speaker 1: make sure they get hurt again. I know. It's very 103 00:06:32,440 --> 00:06:34,360 Speaker 1: clear that they have not second guess that vote. That 104 00:06:34,520 --> 00:06:36,480 Speaker 1: very strong, you know reasons and you know why they 105 00:06:36,520 --> 00:06:39,600 Speaker 1: cast the vote for Donald Trump, you know, but they 106 00:06:39,600 --> 00:06:42,560 Speaker 1: feel under assault. They trust him, you know, but they 107 00:06:42,800 --> 00:06:46,200 Speaker 1: you know, they feel the country, um is so polarized 108 00:06:46,320 --> 00:06:50,200 Speaker 1: that the opponents have not accepted the election results. Give 109 00:06:50,279 --> 00:06:52,440 Speaker 1: him a chance is almost the first thing, you know, 110 00:06:52,560 --> 00:06:54,680 Speaker 1: out of out of their mouth. And they still think 111 00:06:54,680 --> 00:06:57,279 Speaker 1: we're in a period where he's trying to govern and 112 00:06:57,320 --> 00:06:59,360 Speaker 1: they feel like they're under assault in their own families, 113 00:06:59,360 --> 00:07:01,479 Speaker 1: in their own commun reduce their own kids. Well, let's 114 00:07:01,520 --> 00:07:04,360 Speaker 1: drill down a little stand on how you conducted these 115 00:07:04,360 --> 00:07:08,480 Speaker 1: focus groups. You conducted four and all? Is that right? Um? 116 00:07:08,480 --> 00:07:11,080 Speaker 1: I did? I did? And the focus group that worked 117 00:07:11,200 --> 00:07:15,560 Speaker 1: is homogeneous. It's comfortable and you know, and people feel 118 00:07:15,920 --> 00:07:19,280 Speaker 1: revealing dynamics that they would not otherwise do. It's actually 119 00:07:19,800 --> 00:07:21,640 Speaker 1: you know, you know how I started initially when I 120 00:07:21,640 --> 00:07:24,200 Speaker 1: did the Macomb focus herps because I would have only 121 00:07:24,280 --> 00:07:28,080 Speaker 1: union people, only men, you know, working class, uh, you know, 122 00:07:28,120 --> 00:07:31,760 Speaker 1: are non union and and them feeling free to talk 123 00:07:31,800 --> 00:07:34,040 Speaker 1: about it. And at that point that was really that 124 00:07:34,160 --> 00:07:36,680 Speaker 1: was you know, Republicans had been doing focused but this 125 00:07:36,760 --> 00:07:39,360 Speaker 1: was kind of new UM, and so I was kind 126 00:07:39,360 --> 00:07:42,400 Speaker 1: of inventing that methodology, you know at that time. But 127 00:07:42,480 --> 00:07:44,720 Speaker 1: I but I almost had to like go back and 128 00:07:44,720 --> 00:07:47,280 Speaker 1: say start over, you know, the you know, I listened 129 00:07:47,280 --> 00:07:49,240 Speaker 1: to the focus groups and other people are doing and 130 00:07:49,240 --> 00:07:52,320 Speaker 1: they're testing different attacks on Trump. You know what, these 131 00:07:52,400 --> 00:07:55,080 Speaker 1: voters really do want to be heard, and they do 132 00:07:55,160 --> 00:07:58,120 Speaker 1: have reasons why they voted the way they did, and 133 00:07:58,200 --> 00:08:00,280 Speaker 1: so I thought it was really important to listen to them, 134 00:08:00,360 --> 00:08:03,280 Speaker 1: not fight them, you know, let them, you know, express 135 00:08:03,320 --> 00:08:05,880 Speaker 1: their views on why UM, and then we can get 136 00:08:05,920 --> 00:08:07,840 Speaker 1: to the question of, you know, how you can begin 137 00:08:07,880 --> 00:08:10,240 Speaker 1: to win them back. And I'm so curious to hear 138 00:08:10,320 --> 00:08:14,600 Speaker 1: your views on the differences and similarities between these Macomb 139 00:08:14,680 --> 00:08:18,240 Speaker 1: County voters thirty years ago and today, because thirty years 140 00:08:18,240 --> 00:08:22,120 Speaker 1: ago you wrote at length about how they believe Democrats 141 00:08:22,200 --> 00:08:25,600 Speaker 1: were serving special interests. UM. There was a heavy racial 142 00:08:25,640 --> 00:08:28,680 Speaker 1: component to the way that they had felt alienated from 143 00:08:28,720 --> 00:08:31,640 Speaker 1: the National Democratic Party. They felt like it was out 144 00:08:31,640 --> 00:08:34,440 Speaker 1: of step with their cultural values that welfare money was 145 00:08:34,480 --> 00:08:37,680 Speaker 1: going to other people, not them. Were these some of 146 00:08:37,679 --> 00:08:42,360 Speaker 1: the same motivations behind their support for Trump and their 147 00:08:42,640 --> 00:08:46,240 Speaker 1: their feelings of alienation from the establishment or was there 148 00:08:46,240 --> 00:08:49,880 Speaker 1: something different happening? Now? Yeah, I mean something very different. 149 00:08:50,160 --> 00:08:52,360 Speaker 1: First of all, what not what's not different is their 150 00:08:52,480 --> 00:08:55,560 Speaker 1: hostility of the establishment, hostility to be able empower both 151 00:08:55,600 --> 00:08:58,760 Speaker 1: corporate power and political power. They're very much focused on 152 00:08:58,800 --> 00:09:01,400 Speaker 1: political leaders who have sold them out, you know, for 153 00:09:01,480 --> 00:09:05,199 Speaker 1: special interests, cut bad trade deals for America while their jobs, 154 00:09:05,280 --> 00:09:07,720 Speaker 1: you know, we're lost. And so there's a commonality to 155 00:09:07,800 --> 00:09:10,959 Speaker 1: the kind of political economic argument that no one is 156 00:09:11,040 --> 00:09:14,800 Speaker 1: recognizing it, and you know, and fighting that race was 157 00:09:14,880 --> 00:09:19,360 Speaker 1: just so central. Detroit was central. Um the black politicians, 158 00:09:19,520 --> 00:09:21,720 Speaker 1: you know that they talked about who were dominant in 159 00:09:22,320 --> 00:09:25,200 Speaker 1: in politics in Michigan. They would talk about how you know, 160 00:09:25,320 --> 00:09:29,400 Speaker 1: they used their power over with Michigan government in America, uh, 161 00:09:29,440 --> 00:09:31,480 Speaker 1: the U. S government, you know, to make government work 162 00:09:31,559 --> 00:09:34,040 Speaker 1: for them. Affirmative Action was you know, aimed at you know, 163 00:09:34,080 --> 00:09:37,360 Speaker 1: at them. They paid a real prices um they believed 164 00:09:37,760 --> 00:09:40,480 Speaker 1: um for you know, government, you know, policy. And so 165 00:09:40,640 --> 00:09:44,120 Speaker 1: race was absolutely central. So if race was central, then 166 00:09:44,480 --> 00:09:50,199 Speaker 1: what is central now? Stan immigration and Islam. Immigration, as 167 00:09:50,200 --> 00:09:52,840 Speaker 1: you recall, was the number one issue that the first 168 00:09:52,880 --> 00:09:56,920 Speaker 1: issue that Trump ran on, and I was focused on Mexicans, 169 00:09:57,040 --> 00:10:00,720 Speaker 1: and but he was focused on an undocumented and you know, 170 00:10:00,800 --> 00:10:03,959 Speaker 1: not having control your borders, citizens, not having preference over 171 00:10:04,000 --> 00:10:07,520 Speaker 1: non citizens. What he was doing, what Trump was doing 172 00:10:07,760 --> 00:10:09,599 Speaker 1: and saying this was his central issue, and he was 173 00:10:09,640 --> 00:10:11,400 Speaker 1: the only one willing to speak about it, both in 174 00:10:11,440 --> 00:10:15,240 Speaker 1: the primary and in the general. So I think part 175 00:10:15,240 --> 00:10:18,719 Speaker 1: of what you're saying is politics in Macomb County is 176 00:10:18,720 --> 00:10:21,760 Speaker 1: still about us versus them. Them is just no longer 177 00:10:21,800 --> 00:10:27,440 Speaker 1: African Americans. It's it's Muslims, it's immigrants who are documented 178 00:10:27,520 --> 00:10:31,720 Speaker 1: or undocumented. And the Democrats need to come up with 179 00:10:31,760 --> 00:10:34,800 Speaker 1: a message on immigration that resonates with working class people 180 00:10:34,800 --> 00:10:36,800 Speaker 1: who feel like they've lost out. And I want to 181 00:10:36,800 --> 00:10:40,040 Speaker 1: just interject because I read an interesting column stand and 182 00:10:40,120 --> 00:10:43,280 Speaker 1: I think Brian, you and I discussed it that was 183 00:10:43,320 --> 00:10:46,120 Speaker 1: in the New York Times that said the mistake for 184 00:10:46,640 --> 00:10:50,640 Speaker 1: Democrats and liberal Democrats is to say all immigration is good. 185 00:10:51,400 --> 00:10:54,400 Speaker 1: Remember Brian, we talked about that column and that it's 186 00:10:54,520 --> 00:10:58,760 Speaker 1: much more complex and for them not to say we 187 00:10:58,880 --> 00:11:02,000 Speaker 1: have to tackle this issue one way or another. They 188 00:11:02,040 --> 00:11:06,080 Speaker 1: do that at their peril. Do you agree with that stand? Yes, 189 00:11:06,120 --> 00:11:09,040 Speaker 1: I agree. I agree that Democrats have to have to 190 00:11:09,080 --> 00:11:13,120 Speaker 1: have a perspective on immigration because we, in fact our 191 00:11:13,160 --> 00:11:17,560 Speaker 1: advocates of immigration, people are very comfortable with a system 192 00:11:17,559 --> 00:11:22,120 Speaker 1: of comprehensive reform that that's managed and has controls and 193 00:11:22,120 --> 00:11:25,320 Speaker 1: demands responsibility that people get in the queue they learn 194 00:11:25,360 --> 00:11:29,720 Speaker 1: English that in that context, they are willing to support 195 00:11:29,720 --> 00:11:33,079 Speaker 1: immigration that increases immigration. Democrats are going to be for immigration. 196 00:11:33,120 --> 00:11:35,439 Speaker 1: We think it's a better country. We believe in a 197 00:11:35,559 --> 00:11:39,280 Speaker 1: multicultural country. We believe in finding unity out of diversity. 198 00:11:39,480 --> 00:11:42,679 Speaker 1: But as you said, stand not completely unfettered with some 199 00:11:42,800 --> 00:11:45,920 Speaker 1: kind of structure, some kind of responsibility, some kind of 200 00:11:46,120 --> 00:11:49,120 Speaker 1: system in place. Yes, and they, I mean they people 201 00:11:49,160 --> 00:11:53,560 Speaker 1: are very open to reform that increases immigration, but in 202 00:11:53,600 --> 00:11:57,320 Speaker 1: a context where they are rules and we're and we're legal, 203 00:11:57,360 --> 00:12:03,000 Speaker 1: immigrants have precedence over you know, illegal citizens over non citizens. Um. 204 00:12:03,160 --> 00:12:06,400 Speaker 1: And that's a normal thing to want and expect in 205 00:12:06,600 --> 00:12:09,960 Speaker 1: any society. But this gets to a bigger issue about 206 00:12:10,120 --> 00:12:13,480 Speaker 1: the difference between perception and reality, because the reality is 207 00:12:13,520 --> 00:12:17,800 Speaker 1: that immigration and trade two of the real bugaboos for 208 00:12:17,840 --> 00:12:21,800 Speaker 1: the voters you studied have been positives for this country 209 00:12:21,840 --> 00:12:25,320 Speaker 1: if you look at all of the data on income 210 00:12:25,480 --> 00:12:30,320 Speaker 1: and jobs, but they're perceived as very negative by a 211 00:12:30,360 --> 00:12:34,240 Speaker 1: lot of voters who are critical and presidential elections. And 212 00:12:34,480 --> 00:12:36,079 Speaker 1: you know, one of the things that struck me about 213 00:12:36,080 --> 00:12:39,080 Speaker 1: the report you wrote is that you know, these voters, 214 00:12:39,120 --> 00:12:42,280 Speaker 1: you said, except Trump's version of the news and the facts. 215 00:12:43,040 --> 00:12:45,560 Speaker 1: And so you know, on the one end, you've got 216 00:12:45,880 --> 00:12:48,679 Speaker 1: real news and real facts, you have fake news and 217 00:12:48,720 --> 00:12:55,080 Speaker 1: fake facts, and it seems like the latter are winning out. Well, look, 218 00:12:55,200 --> 00:12:58,280 Speaker 1: there is a there is a reality um that these 219 00:12:58,360 --> 00:13:02,920 Speaker 1: voters that America's dealing with. I mean, we have, you know, increasingly, 220 00:13:03,080 --> 00:13:05,760 Speaker 1: you know, farm population thirty seven pers in New York 221 00:13:05,760 --> 00:13:08,600 Speaker 1: City is far and born. I think you know, it's 222 00:13:08,640 --> 00:13:11,040 Speaker 1: about thirty five percent of California's you know is far 223 00:13:11,280 --> 00:13:14,160 Speaker 1: is farign Born. And all those numbers are growing. There's 224 00:13:14,200 --> 00:13:18,200 Speaker 1: a huge growth in migration globally, one in five of 225 00:13:18,520 --> 00:13:22,160 Speaker 1: migrants globally or in the United States. There is a 226 00:13:22,200 --> 00:13:25,680 Speaker 1: big growth of farm population and it's change. Asian population 227 00:13:25,880 --> 00:13:28,480 Speaker 1: has grown dramatically as well, obviously, as well as Hispanic 228 00:13:29,120 --> 00:13:31,240 Speaker 1: and there is a you know, it's part of what 229 00:13:31,320 --> 00:13:34,160 Speaker 1: America is and if we are actually going to get 230 00:13:34,160 --> 00:13:37,360 Speaker 1: the most out of it and be economically competitive, we 231 00:13:37,400 --> 00:13:39,880 Speaker 1: also have to manage it. And by the way, when 232 00:13:40,080 --> 00:13:43,160 Speaker 1: we presented to this focus group with Coca colad you know, 233 00:13:43,200 --> 00:13:45,840 Speaker 1: in which they had America the Beautiful sung you know, 234 00:13:46,000 --> 00:13:49,360 Speaker 1: in multiple languages, because we use that as a you know, 235 00:13:49,440 --> 00:14:06,240 Speaker 1: a test for sassacious guys. Lasting gu about half kind 236 00:14:06,240 --> 00:14:08,760 Speaker 1: of accepted it with you know that, you know the 237 00:14:09,320 --> 00:14:11,600 Speaker 1: and we're comfortable with it. You know, some I'm saying, 238 00:14:11,600 --> 00:14:13,439 Speaker 1: that's the way it should be. We're gonna be unified, 239 00:14:13,559 --> 00:14:16,360 Speaker 1: We're you know the so you know so that Now, look, 240 00:14:16,360 --> 00:14:18,160 Speaker 1: there's some that aren't going to be. But there's a 241 00:14:18,240 --> 00:14:21,240 Speaker 1: you know, a significant number that you know, they're living 242 00:14:21,280 --> 00:14:25,720 Speaker 1: in America that is amority majority. I know that. Yeah, 243 00:14:25,760 --> 00:14:28,120 Speaker 1: I know that ad you're referring to. And it's sort 244 00:14:28,160 --> 00:14:31,520 Speaker 1: of a celebration of pluralism. And what you're saying is 245 00:14:31,600 --> 00:14:35,840 Speaker 1: some of the folks you were talking to celebrated it, 246 00:14:35,920 --> 00:14:39,600 Speaker 1: but plenty of them didn't and felt that this pluralism 247 00:14:39,680 --> 00:14:44,480 Speaker 1: quote unquote is threatening to the country and to its values. 248 00:14:44,640 --> 00:14:47,920 Speaker 1: Let's remember the countrywide, you know, about two to one 249 00:14:48,560 --> 00:14:52,080 Speaker 1: people believe immigrants are helpful to the country, not that 250 00:14:52,080 --> 00:14:55,440 Speaker 1: they create a heavy burden on jobs and public services. 251 00:14:55,480 --> 00:14:58,080 Speaker 1: And by the way, you need to cut across race 252 00:14:58,120 --> 00:15:00,800 Speaker 1: on this because it's you know, lot of African American 253 00:15:00,840 --> 00:15:03,440 Speaker 1: groups that I do. There's you know, there's concern about 254 00:15:03,480 --> 00:15:06,360 Speaker 1: you know, immigration as well. Don't assume it's only white 255 00:15:06,360 --> 00:15:08,800 Speaker 1: working class voters, you know, who are focused on this. 256 00:15:09,080 --> 00:15:11,760 Speaker 1: This has been such a tumultuous period. It seems to 257 00:15:11,800 --> 00:15:16,680 Speaker 1: me if you listen to the news, radio, television, you 258 00:15:16,720 --> 00:15:22,440 Speaker 1: read your information online. But most accounts indicate that Donald 259 00:15:22,480 --> 00:15:25,880 Speaker 1: Trump has had a very tough few weeks. Russia, wire 260 00:15:25,920 --> 00:15:31,160 Speaker 1: tapping his tweets, healthcare reform, alienating allies, striking deals with companies, 261 00:15:31,240 --> 00:15:34,440 Speaker 1: turmoil and the White House. Uh, you know, a lot 262 00:15:34,480 --> 00:15:41,600 Speaker 1: of infighting, leaks, unprecedented leaks happening. But these voters, um, 263 00:15:41,640 --> 00:15:44,760 Speaker 1: it doesn't seem to be affecting them because there's no 264 00:15:44,960 --> 00:15:49,480 Speaker 1: buyer's remorse, is there. Well, look, let's let's accept that 265 00:15:49,520 --> 00:15:52,680 Speaker 1: it's two months into this, even as tumultuos, as crazy 266 00:15:52,800 --> 00:15:55,240 Speaker 1: as this period is, you know, it's still two months 267 00:15:55,240 --> 00:15:57,160 Speaker 1: and they look, they think there's a civil war in 268 00:15:57,200 --> 00:16:00,600 Speaker 1: the country. They think that people that are protesting, you know, 269 00:16:00,680 --> 00:16:03,080 Speaker 1: in the streets, you know, or just to have not 270 00:16:03,160 --> 00:16:07,120 Speaker 1: accepted the election. And so they still think that they 271 00:16:07,160 --> 00:16:09,760 Speaker 1: are trying to stop him from governing successfully. And they're 272 00:16:09,760 --> 00:16:12,640 Speaker 1: not convinced Republicans and Congress are really for him either. 273 00:16:13,240 --> 00:16:16,080 Speaker 1: They feel in casting their vote for Trump, they were 274 00:16:16,160 --> 00:16:19,600 Speaker 1: voting for huge change. It was a major slap in 275 00:16:19,640 --> 00:16:23,320 Speaker 1: the face at the establishment of both parties, and they're 276 00:16:23,360 --> 00:16:27,440 Speaker 1: looking for big, big, big change. They could be disillusioned, 277 00:16:28,200 --> 00:16:31,120 Speaker 1: you know, but not now. Certainly. When I did these groups, 278 00:16:31,160 --> 00:16:32,840 Speaker 1: you know, a few weeks ago, this you know, this 279 00:16:32,920 --> 00:16:34,840 Speaker 1: is still playing out in their minds. And my guess 280 00:16:34,920 --> 00:16:36,440 Speaker 1: is when we go out and listen to voters and 281 00:16:36,880 --> 00:16:39,440 Speaker 1: again in the next couple of weeks, that will still 282 00:16:39,480 --> 00:16:42,280 Speaker 1: be true. You know, that they are defending the you know, 283 00:16:42,280 --> 00:16:46,040 Speaker 1: their vote for Trump. So I think this will erode 284 00:16:46,080 --> 00:16:48,760 Speaker 1: it in time, but not now. And this goes to 285 00:16:48,800 --> 00:16:51,520 Speaker 1: an interesting question stand about how they're going to judge 286 00:16:51,640 --> 00:16:56,120 Speaker 1: President Trump moving forward. That is, does he actually need 287 00:16:56,160 --> 00:16:58,640 Speaker 1: to deliver for them personally in order to be perceived 288 00:16:58,640 --> 00:17:01,440 Speaker 1: as successful by them? You know, I actually do think 289 00:17:01,440 --> 00:17:03,320 Speaker 1: it needs to deliver. I mean, I don't think they 290 00:17:03,360 --> 00:17:06,360 Speaker 1: were faked into vote voting for Trump. They think he's 291 00:17:06,480 --> 00:17:09,080 Speaker 1: a strong leader, they think he'll go after the establishment. 292 00:17:09,800 --> 00:17:12,160 Speaker 1: But i've you know, but there's some evidence here that 293 00:17:12,600 --> 00:17:15,120 Speaker 1: if in fact, the health care law you know, ends 294 00:17:15,160 --> 00:17:17,280 Speaker 1: up making I mean they're I mean they're counting health 295 00:17:17,880 --> 00:17:20,879 Speaker 1: their premiums, they're deductibles to the penny, and they go 296 00:17:21,000 --> 00:17:23,760 Speaker 1: around the room. I mean, they know what their healthcare costs, 297 00:17:23,760 --> 00:17:26,440 Speaker 1: what their insurance cost they they're they're not going to 298 00:17:26,520 --> 00:17:29,399 Speaker 1: be fooled by health care plan you know that raises 299 00:17:29,440 --> 00:17:32,520 Speaker 1: their deductibles. You know, they think he's gonna make health care, 300 00:17:33,000 --> 00:17:37,480 Speaker 1: their insurance both better and cheaper and more affordable. And 301 00:17:37,640 --> 00:17:40,119 Speaker 1: if that doesn't happen, Stan, I thought it was interesting 302 00:17:40,240 --> 00:17:45,000 Speaker 1: that your reports said they would blame Congress, not Donald Trump. Well, 303 00:17:45,000 --> 00:17:47,600 Speaker 1: they blame Congress if if nothing happens, I think if 304 00:17:47,680 --> 00:17:49,560 Speaker 1: you know the you know, I think there, yes, I 305 00:17:49,560 --> 00:17:51,600 Speaker 1: think the reason to think that they will blame Congress 306 00:17:51,600 --> 00:17:53,879 Speaker 1: because they you know, they we put pictures of Ryan 307 00:17:53,960 --> 00:17:57,000 Speaker 1: and McConnell there for them to look at it, and 308 00:17:57,000 --> 00:17:59,520 Speaker 1: they're really quite hostile to them, and they know they 309 00:17:59,600 --> 00:18:02,639 Speaker 1: you know, that the establishment didn't support him, and so 310 00:18:02,680 --> 00:18:04,919 Speaker 1: I think they have a ready interpretation for stuff not 311 00:18:04,960 --> 00:18:07,120 Speaker 1: getting done. But I don't think that's the same thing 312 00:18:07,119 --> 00:18:11,600 Speaker 1: as if they actually passed this Ryan bill in the House. 313 00:18:11,760 --> 00:18:14,959 Speaker 1: Once you've passed that and he's fought for it, I 314 00:18:15,000 --> 00:18:17,320 Speaker 1: think maybe I think he owns the specifics of it 315 00:18:17,359 --> 00:18:19,760 Speaker 1: in very different ways. Obviously, if it were to be enacted. 316 00:18:20,000 --> 00:18:23,679 Speaker 1: If in fact, the healthcare replacement is what Donald Trump 317 00:18:23,720 --> 00:18:28,000 Speaker 1: has supported and ultimately it hurts those voters rather than 318 00:18:28,119 --> 00:18:30,520 Speaker 1: helps them, do you think they'll have a change of 319 00:18:30,560 --> 00:18:36,240 Speaker 1: heart about him specifically? Yes, I do, And I keep 320 00:18:36,240 --> 00:18:37,960 Speaker 1: in mind, these are if you look at the voters 321 00:18:37,960 --> 00:18:41,320 Speaker 1: who came out for you know, Trump, they are about 322 00:18:41,359 --> 00:18:44,040 Speaker 1: half of them are you know, we're ad voted for Obama, 323 00:18:44,240 --> 00:18:46,280 Speaker 1: but about half of them hadn't voted in the in 324 00:18:46,320 --> 00:18:49,560 Speaker 1: the twelve presidential election. So he brought out people that 325 00:18:49,640 --> 00:18:51,679 Speaker 1: were new voters. Not a new registrants, but you know, 326 00:18:51,720 --> 00:18:53,480 Speaker 1: but a lot of new voters. You know that he 327 00:18:53,560 --> 00:18:56,480 Speaker 1: really got their attention, you know, particularly in the rust 328 00:18:56,520 --> 00:18:59,960 Speaker 1: belt where he promised him change on trade and immigrate 329 00:19:00,080 --> 00:19:03,600 Speaker 1: and other things and and and repealing and replacing the 330 00:19:04,240 --> 00:19:08,359 Speaker 1: Affordable care at I think that, you know, they're more 331 00:19:08,400 --> 00:19:11,320 Speaker 1: likely to not vote than and certainly in the off year. 332 00:19:12,160 --> 00:19:14,880 Speaker 1: You know, it's gonna be I think challenging for Republicans 333 00:19:14,920 --> 00:19:18,520 Speaker 1: to get these voters to come vote, to support the 334 00:19:18,640 --> 00:19:21,600 Speaker 1: Republican members of Congress, you know, to make sure they 335 00:19:21,640 --> 00:19:25,199 Speaker 1: can stay there, you know, doing Trump's agenda, because they 336 00:19:25,200 --> 00:19:27,920 Speaker 1: don't think they're with him on his agenda. They don't 337 00:19:27,960 --> 00:19:29,520 Speaker 1: like them, they don't they view them as part of 338 00:19:29,520 --> 00:19:32,199 Speaker 1: the establishment who fought you know, fought him so so 339 00:19:32,240 --> 00:19:34,760 Speaker 1: I think the first effect, you know, is to pullback 340 00:19:34,840 --> 00:19:37,720 Speaker 1: from the Republicans in Congress, which hurts in the midterms. 341 00:19:38,240 --> 00:19:41,240 Speaker 1: The second effect is just to disengage, you know, because 342 00:19:41,280 --> 00:19:43,080 Speaker 1: they were you know, when they began to see the 343 00:19:43,119 --> 00:19:46,119 Speaker 1: negatives that we were testing, you could you know, I 344 00:19:46,160 --> 00:19:50,040 Speaker 1: felt almost I felt badly having presented them because some 345 00:19:50,080 --> 00:19:53,000 Speaker 1: of them got really angry, saying that means they're not 346 00:19:53,000 --> 00:19:55,159 Speaker 1: going to be any change. You know, if this is true, 347 00:19:55,600 --> 00:19:58,720 Speaker 1: there's not going to be any change, and they won't change. 348 00:19:59,160 --> 00:20:01,760 Speaker 1: We're gonna take quick break and when we come back, 349 00:20:01,800 --> 00:20:05,280 Speaker 1: we're actually going to hear from a voter in Chicago 350 00:20:05,600 --> 00:20:08,359 Speaker 1: who was a staunch Democrat her entire life and jump 351 00:20:08,440 --> 00:20:13,040 Speaker 1: ship for this election and is very passionate about Donald Trump, 352 00:20:13,080 --> 00:20:16,640 Speaker 1: and stand will get your reaction to her feelings. That's 353 00:20:16,720 --> 00:20:27,679 Speaker 1: right after this, we're back with Polster Extraordinaire Stan Greenberg. 354 00:20:27,720 --> 00:20:29,880 Speaker 1: Do you like that title? Is that what your cards are? 355 00:20:29,920 --> 00:20:33,199 Speaker 1: Stand Change, I'll change my website. Well, let's talk to 356 00:20:33,280 --> 00:20:37,760 Speaker 1: someone who supported Donald Trump in the election. Her name 357 00:20:37,840 --> 00:20:42,400 Speaker 1: is Janet Saulisbury. She's from Chicago. She is white, she's 358 00:20:42,440 --> 00:20:46,560 Speaker 1: a single mom, and she's not the classic rural, white 359 00:20:46,560 --> 00:20:49,200 Speaker 1: working class voter. But she has a lot to say 360 00:20:49,280 --> 00:20:55,080 Speaker 1: about weis she switched from Barack Obama to Donald Trump. Janet, 361 00:20:55,119 --> 00:20:57,600 Speaker 1: are you on the line. I'm here, nice to talk 362 00:20:57,640 --> 00:20:59,720 Speaker 1: to you. Thank you so much for spending some time 363 00:20:59,760 --> 00:21:03,360 Speaker 1: with us on our podcast. Tell us about why you 364 00:21:03,400 --> 00:21:06,320 Speaker 1: decided to vote for Donald Trump and why you still 365 00:21:06,359 --> 00:21:09,959 Speaker 1: support him. Um, you know, it was I've been a 366 00:21:10,000 --> 00:21:15,240 Speaker 1: lifelong Democrat, grew up in an Irish Democratic Catholic family. Um, 367 00:21:15,359 --> 00:21:18,720 Speaker 1: so it was a very very difficult decision. But it 368 00:21:18,840 --> 00:21:22,240 Speaker 1: was actually summer when I was at a reunion with 369 00:21:22,280 --> 00:21:25,080 Speaker 1: my college friends, and it was right when Trump had 370 00:21:25,080 --> 00:21:27,879 Speaker 1: come down the escalator and everybody was just kind of 371 00:21:27,880 --> 00:21:30,720 Speaker 1: like making a joke about it, and it sort of 372 00:21:30,760 --> 00:21:33,800 Speaker 1: just to think, you know, and um, the more and 373 00:21:33,880 --> 00:21:37,040 Speaker 1: more people like ruled him out, I started listening a 374 00:21:37,040 --> 00:21:39,440 Speaker 1: little bit more to him and then saw the whole 375 00:21:39,600 --> 00:21:43,960 Speaker 1: Bernie Sanders Hillary thing go on. And I'm probably in 376 00:21:43,960 --> 00:21:47,920 Speaker 1: the category of what woman call exasperated. Um and so yeah, 377 00:21:47,920 --> 00:21:51,680 Speaker 1: it was. It was exasperation. I felt nobody's listening to me, 378 00:21:52,200 --> 00:21:57,840 Speaker 1: nobody's trying to reach out to me and my concerns. Um. 379 00:21:57,920 --> 00:22:00,600 Speaker 1: And so I just it was a shaker. So it 380 00:22:00,680 --> 00:22:03,080 Speaker 1: was let's shake it up because what we're doing isn't working. 381 00:22:03,200 --> 00:22:05,359 Speaker 1: And one of the things you were most concerned about 382 00:22:05,600 --> 00:22:09,679 Speaker 1: was your health care. Oh absolutely, Um. I worked for 383 00:22:09,680 --> 00:22:14,520 Speaker 1: a very small family health company. UM. So we don't 384 00:22:14,560 --> 00:22:16,879 Speaker 1: you know, our health plans change year to year, and 385 00:22:16,880 --> 00:22:19,600 Speaker 1: I'm lucky that I do have some employee contribution to 386 00:22:19,680 --> 00:22:22,920 Speaker 1: my health care, but I still pay a fair amount um. 387 00:22:22,960 --> 00:22:24,680 Speaker 1: And I have a lot of I have a couple 388 00:22:24,680 --> 00:22:27,040 Speaker 1: of friends who are like in business, other women in 389 00:22:27,119 --> 00:22:30,680 Speaker 1: the business for themselves and just the way that their 390 00:22:30,760 --> 00:22:35,840 Speaker 1: costs have been skyrocketing the last three years. UM. And 391 00:22:35,880 --> 00:22:40,680 Speaker 1: nobody was willing to admit that Obamacare are Affordable Health 392 00:22:40,680 --> 00:22:43,359 Speaker 1: Care Act isn't working and it needs to be fixed, 393 00:22:43,920 --> 00:22:45,680 Speaker 1: you know. And and and then then one day when Bill 394 00:22:45,680 --> 00:22:47,560 Speaker 1: Clinton stood up and I saw it on the news 395 00:22:47,600 --> 00:22:50,720 Speaker 1: and he said, it's not working. The deductibles are skyrocking, 396 00:22:50,800 --> 00:22:55,399 Speaker 1: the premiums are skyrocking. I thought, finally, finally someone's you know, 397 00:22:55,560 --> 00:22:59,920 Speaker 1: hearing what's going on. So hey, Janet, I'm I'm Brian 398 00:23:00,000 --> 00:23:02,560 Speaker 1: and Katie's co host, and I was just curious, how 399 00:23:02,560 --> 00:23:04,920 Speaker 1: do you think about the way the media is covering 400 00:23:05,080 --> 00:23:08,359 Speaker 1: President Trump right now? Um? You know, I have a 401 00:23:08,359 --> 00:23:12,639 Speaker 1: hard time. I'm kind of a news junkie. UM, so 402 00:23:12,680 --> 00:23:14,080 Speaker 1: I used to watch a lot of it. I'm just 403 00:23:14,119 --> 00:23:16,199 Speaker 1: having a hard time even watching it because I just 404 00:23:16,280 --> 00:23:21,560 Speaker 1: think it's so unfair. Um. You know, they're just like 405 00:23:21,760 --> 00:23:26,159 Speaker 1: running after the latest Twitter for the latest thing, and 406 00:23:26,200 --> 00:23:28,480 Speaker 1: just I just want to say, chill, just step back, 407 00:23:29,200 --> 00:23:32,400 Speaker 1: and UM, I think it's just making it even more 408 00:23:32,480 --> 00:23:37,280 Speaker 1: divisive than ever. So I'm very frustrated with that. Stan, 409 00:23:37,480 --> 00:23:40,280 Speaker 1: is that how a lot of your folks you talked 410 00:23:40,320 --> 00:23:43,240 Speaker 1: to him Macomb County felt God And you know, indeed, 411 00:23:43,240 --> 00:23:45,399 Speaker 1: I mean the same. I think the same level kind 412 00:23:45,440 --> 00:23:49,359 Speaker 1: of frustration with the with mainstream news. And it's not 413 00:23:49,400 --> 00:23:50,720 Speaker 1: likely they're going to other news it's more of a 414 00:23:50,800 --> 00:23:53,879 Speaker 1: you know, turn it off, come on, but they I 415 00:23:53,920 --> 00:23:56,640 Speaker 1: think it's I think it's exactly capture is exactly right, 416 00:23:56,640 --> 00:24:00,200 Speaker 1: which is people have not settled. The election is a 417 00:24:00,240 --> 00:24:02,520 Speaker 1: civil war going out there, you know, give him a chance. 418 00:24:04,600 --> 00:24:07,080 Speaker 1: Ll Do you have anything you'd like to ask Janet 419 00:24:07,280 --> 00:24:10,600 Speaker 1: stan Well, what I'm actually focused on is, you know, 420 00:24:11,200 --> 00:24:13,320 Speaker 1: if you're watching what's happening now on healthcare, you know, 421 00:24:13,359 --> 00:24:17,000 Speaker 1: given how important healthcare was, you know, to your vote, 422 00:24:17,000 --> 00:24:19,359 Speaker 1: and the costs and high deductibles, which is exactly what 423 00:24:19,400 --> 00:24:23,960 Speaker 1: people were struggling with, and the Yeah, I absolutely am 424 00:24:23,960 --> 00:24:26,520 Speaker 1: watching that, um. But I am turning it off. A 425 00:24:26,560 --> 00:24:28,800 Speaker 1: lot of other times when I hear Russia, I turn 426 00:24:28,880 --> 00:24:32,280 Speaker 1: it off, um, because that's just to me, that's a distraction. 427 00:24:32,320 --> 00:24:34,439 Speaker 1: That's just throwing a firecracker up in the air and 428 00:24:34,480 --> 00:24:37,880 Speaker 1: making everybody look over there. But I am watching the healthcare. 429 00:24:37,880 --> 00:24:40,399 Speaker 1: I am concerned about what I've heard so far about 430 00:24:40,880 --> 00:24:43,359 Speaker 1: I mean, I'm fifty eight years old and I'm you know, 431 00:24:43,440 --> 00:24:48,120 Speaker 1: like how people in my age group are come out 432 00:24:48,119 --> 00:24:50,119 Speaker 1: on the short end of the stick. But I haven't 433 00:24:50,200 --> 00:24:53,119 Speaker 1: seen a lot of specifics, and maybe I haven't searched 434 00:24:53,119 --> 00:24:56,080 Speaker 1: them out UM, yeah, I am concerned, and that's I 435 00:24:56,119 --> 00:24:58,639 Speaker 1: am definitely watching that with a very close eye. And 436 00:24:58,680 --> 00:25:01,159 Speaker 1: if you don't like a health care plan that Donald 437 00:25:01,160 --> 00:25:05,000 Speaker 1: Trump is supporting, do you think that will be something 438 00:25:05,200 --> 00:25:08,040 Speaker 1: Janet that will change your mind or will you stick 439 00:25:08,080 --> 00:25:12,800 Speaker 1: with him on other issues? UM? I'm kind of a 440 00:25:12,800 --> 00:25:15,760 Speaker 1: wait and see to give it time. UM. I keep 441 00:25:15,760 --> 00:25:18,800 Speaker 1: looking at what was the alternative, and I think the 442 00:25:18,840 --> 00:25:22,480 Speaker 1: alternative would have been gridlock too, But you know, I 443 00:25:22,760 --> 00:25:24,720 Speaker 1: don't know. I'll just have to see what I want 444 00:25:24,720 --> 00:25:27,480 Speaker 1: to see this fleshed out a little bit more. Jenny, 445 00:25:27,520 --> 00:25:30,280 Speaker 1: Can I ask you a question about the budget that 446 00:25:30,560 --> 00:25:33,000 Speaker 1: President Trump put out recently. I'm not sure if you 447 00:25:33,080 --> 00:25:36,080 Speaker 1: follow the news on this, but a lot of the cut, 448 00:25:36,280 --> 00:25:38,520 Speaker 1: a lot of the cuts in that budget, you know, 449 00:25:38,560 --> 00:25:42,960 Speaker 1: affect Trump voters. There are cuts and after school programs 450 00:25:42,960 --> 00:25:46,400 Speaker 1: and counter terror programs and rural development and job training. 451 00:25:46,840 --> 00:25:49,439 Speaker 1: You know, it's not just the National Endowment for the 452 00:25:49,560 --> 00:25:54,040 Speaker 1: Arts and foreign aid and traditional areas that m Republicans 453 00:25:54,080 --> 00:25:57,040 Speaker 1: go after. And so I was curious whether that budget 454 00:25:57,320 --> 00:26:00,439 Speaker 1: seemed like a series of good ideas to you or 455 00:26:00,800 --> 00:26:03,439 Speaker 1: did it cause you to question at all your support 456 00:26:03,520 --> 00:26:08,000 Speaker 1: for the president? Um? I frankly, I haven't heard a 457 00:26:08,080 --> 00:26:13,119 Speaker 1: lot about it. I mean, unfortunately, I think you know, again, 458 00:26:13,160 --> 00:26:15,919 Speaker 1: this is where I kind of like get like the media, 459 00:26:16,119 --> 00:26:19,120 Speaker 1: because I'm I'm hearing is, you know, sesame streets out 460 00:26:19,160 --> 00:26:21,399 Speaker 1: and um, different things like that. I have a nineteen 461 00:26:21,480 --> 00:26:24,560 Speaker 1: year old son, so sesame street being out really doesn't 462 00:26:25,119 --> 00:26:28,840 Speaker 1: like play highly into my verdiculous. But then I hear 463 00:26:28,880 --> 00:26:31,520 Speaker 1: things about like meals on wheels, and I know so 464 00:26:31,600 --> 00:26:33,880 Speaker 1: many people. I mean, my mom, you know, God rest 465 00:26:33,880 --> 00:26:35,359 Speaker 1: her so but when she was like she used to 466 00:26:35,359 --> 00:26:38,080 Speaker 1: help deliver her wheels on meals or meals on wheels, 467 00:26:38,520 --> 00:26:40,919 Speaker 1: and I know that that's like like more than just 468 00:26:41,040 --> 00:26:44,400 Speaker 1: providing food to people, it's also you know, giving them 469 00:26:44,400 --> 00:26:48,040 Speaker 1: a lifeline of support. So those types of things concerned me. 470 00:26:48,440 --> 00:26:51,879 Speaker 1: I mean, I'm not like a conservative Republican. I've always 471 00:26:51,880 --> 00:26:55,960 Speaker 1: been more of a moderate Democrat. Um, So I think 472 00:26:55,960 --> 00:26:59,840 Speaker 1: there needs to be some entitlements, um, but those types 473 00:26:59,880 --> 00:27:02,760 Speaker 1: of things to concern me. I wanted to ask one 474 00:27:02,840 --> 00:27:06,040 Speaker 1: last question because Brian stan and I Janet we're talking 475 00:27:06,080 --> 00:27:09,640 Speaker 1: about this. It seems to me for the past week 476 00:27:09,680 --> 00:27:12,359 Speaker 1: and a half or so, since there was a Twitter 477 00:27:12,440 --> 00:27:18,639 Speaker 1: storm about President Obama, wire tapping Trump tower. The media 478 00:27:18,680 --> 00:27:22,960 Speaker 1: has been very, very focused on that allegation, and I'm 479 00:27:23,000 --> 00:27:27,320 Speaker 1: curious if allegations like those and other things are not 480 00:27:27,560 --> 00:27:32,119 Speaker 1: proven true or don't have any basis in fact, would 481 00:27:32,119 --> 00:27:34,959 Speaker 1: that change your opinion of Donald Trump? Or is it 482 00:27:35,000 --> 00:27:39,240 Speaker 1: just not significant enough for you? This is not significant 483 00:27:39,480 --> 00:27:43,880 Speaker 1: to me. I mean, that's just again a distraction, Um, 484 00:27:44,000 --> 00:27:46,639 Speaker 1: I kind of you know, kind of operating the world 485 00:27:46,720 --> 00:27:51,919 Speaker 1: that assume every email could be read, assume everything. So I, um, 486 00:27:51,920 --> 00:27:53,879 Speaker 1: it's just not a big deal to me, And I 487 00:27:53,920 --> 00:27:55,920 Speaker 1: think that I just want them to get to work. 488 00:27:55,960 --> 00:27:58,639 Speaker 1: I voted for Trump as a wake up call. I 489 00:27:58,680 --> 00:28:00,600 Speaker 1: thought it would be a wake up hall for both 490 00:28:00,640 --> 00:28:04,000 Speaker 1: the Democrats and Republicans to get their act together. And 491 00:28:04,040 --> 00:28:07,600 Speaker 1: there's still little children fighting over the sand box. So well, 492 00:28:07,720 --> 00:28:12,320 Speaker 1: I think stan is Janet pretty representative of the voters 493 00:28:12,400 --> 00:28:15,960 Speaker 1: with whom you spoke. I think she looks these people. 494 00:28:16,160 --> 00:28:19,640 Speaker 1: I mean, and I appreciate Janet being so frank about it. 495 00:28:20,160 --> 00:28:22,760 Speaker 1: They're at the edge economically, they're you know, they're they're 496 00:28:22,760 --> 00:28:26,480 Speaker 1: struggling there, and they're angry about a politicians and politics 497 00:28:26,520 --> 00:28:29,280 Speaker 1: that just doesn't listen to them, hasn't listened to them, 498 00:28:29,480 --> 00:28:31,720 Speaker 1: you know, in years and finally someone has spoken to it. 499 00:28:32,200 --> 00:28:35,560 Speaker 1: And there are issues that are really central and healthware 500 00:28:35,760 --> 00:28:37,919 Speaker 1: you know is you know, is one of them, and 501 00:28:37,960 --> 00:28:40,920 Speaker 1: then it raised it. It was a critical piece and 502 00:28:40,920 --> 00:28:42,800 Speaker 1: maybe the dominant piece, you know, in terms of what 503 00:28:42,840 --> 00:28:45,560 Speaker 1: people raised on their own terms of you know, why 504 00:28:45,560 --> 00:28:48,600 Speaker 1: they voted the way and they they're watching. I believe 505 00:28:48,640 --> 00:28:51,680 Speaker 1: they're watching what's happening there. I think they see the 506 00:28:51,680 --> 00:28:53,720 Speaker 1: other stuff. I mean, first of all, they trust him 507 00:28:53,800 --> 00:28:57,320 Speaker 1: on interpreting you know, you know, events and facts and 508 00:28:57,360 --> 00:29:00,640 Speaker 1: what news is right and what facts we should trust. 509 00:29:01,680 --> 00:29:04,040 Speaker 1: They think so much of this is about the nine him, 510 00:29:04,280 --> 00:29:08,240 Speaker 1: the opportunity to bring change um and not accepting the 511 00:29:08,240 --> 00:29:11,160 Speaker 1: election result. And so I think it's probably being interpreted 512 00:29:11,160 --> 00:29:13,520 Speaker 1: in that context, even though I understand that you know, 513 00:29:13,720 --> 00:29:15,960 Speaker 1: you're accusing someone of a of a felony is an 514 00:29:15,960 --> 00:29:20,920 Speaker 1: extraordinary thing. But I think for voters, it's what's happening 515 00:29:20,920 --> 00:29:24,720 Speaker 1: on bringing American jobs, what's doing done for my healthcare? 516 00:29:25,400 --> 00:29:27,800 Speaker 1: And what are we doing to change this corrupt in 517 00:29:27,840 --> 00:29:30,240 Speaker 1: a in a grid locked system which doesn't work for 518 00:29:30,360 --> 00:29:33,360 Speaker 1: working people? Well, Janet, does that sound about right to you? 519 00:29:33,960 --> 00:29:38,440 Speaker 1: That pretty much? Well, we so appreciate you talking to 520 00:29:38,520 --> 00:29:41,200 Speaker 1: us on the phone and giving us your views. I 521 00:29:41,200 --> 00:29:43,840 Speaker 1: I so appreciate your perspective and it was really nice 522 00:29:43,880 --> 00:29:46,840 Speaker 1: to talk to you. Thank you, Janet, thank you, thank you. 523 00:29:47,760 --> 00:29:50,480 Speaker 1: To stand before we leave this topic, I really wanted 524 00:29:50,520 --> 00:29:53,680 Speaker 1: to talk about your views on what went wrong for 525 00:29:53,760 --> 00:29:58,360 Speaker 1: Hillary Clinton, inten why she lost the election. And I 526 00:29:58,440 --> 00:30:00,880 Speaker 1: know that you wrote in this memo it you thought 527 00:30:00,920 --> 00:30:04,240 Speaker 1: that her message was too sort of satisfied with the 528 00:30:04,320 --> 00:30:08,360 Speaker 1: status quo about building on progress rather than delivering a 529 00:30:08,480 --> 00:30:13,480 Speaker 1: new economic agenda for swing voters. Can you tell me 530 00:30:13,520 --> 00:30:16,080 Speaker 1: a little bit about what you think she should have 531 00:30:16,160 --> 00:30:20,880 Speaker 1: done as opposed to what she actually did. Well, I mean, look, 532 00:30:20,920 --> 00:30:25,160 Speaker 1: there was tactical and strategic malpractice, you know what, every 533 00:30:25,280 --> 00:30:27,880 Speaker 1: which I've written about an others have written about, and 534 00:30:27,920 --> 00:30:30,560 Speaker 1: you just you just want to strangle them when you 535 00:30:31,840 --> 00:30:34,800 Speaker 1: whenever you think about the consequences of of the things 536 00:30:34,840 --> 00:30:37,720 Speaker 1: they got wrong. But at the heart of it, she 537 00:30:39,240 --> 00:30:42,720 Speaker 1: I think maybe overlearned, you know, the lessons of two 538 00:30:42,800 --> 00:30:46,720 Speaker 1: thousand where they think Gore distanced himself from Clinton and 539 00:30:46,880 --> 00:30:49,240 Speaker 1: cost you know, the election in their view and her 540 00:30:49,280 --> 00:30:52,240 Speaker 1: And incidentally, you were the senior strategist to that campaign 541 00:30:53,480 --> 00:30:56,959 Speaker 1: at the end, or the Polster to the campaign at 542 00:30:56,960 --> 00:31:02,120 Speaker 1: the end. Uh the but the they were so determined 543 00:31:02,200 --> 00:31:06,720 Speaker 1: not to have any gap between herself, UM, and the president. 544 00:31:07,320 --> 00:31:09,680 Speaker 1: I think that was important as a primary strategy in 545 00:31:09,800 --> 00:31:13,480 Speaker 1: terms of winning the nomination. But that's what she believes. 546 00:31:13,520 --> 00:31:16,080 Speaker 1: She thought it was a successful you know president and 547 00:31:16,240 --> 00:31:18,280 Speaker 1: his you know, his message to the country as the 548 00:31:18,280 --> 00:31:21,040 Speaker 1: country is doing well, we're moving in the right direction, 549 00:31:21,640 --> 00:31:25,360 Speaker 1: you know, build on the progress, um. And you know, 550 00:31:25,480 --> 00:31:29,800 Speaker 1: at critical points she mostly identified with that, and that's 551 00:31:29,800 --> 00:31:33,440 Speaker 1: how she closed the election. And you know, you can't 552 00:31:33,480 --> 00:31:35,520 Speaker 1: listen to you know, Jenny, you can't listen to the 553 00:31:35,600 --> 00:31:39,520 Speaker 1: voices in Chicago or Macomb County without knowing this country 554 00:31:40,040 --> 00:31:42,880 Speaker 1: desperately want to change. I didn't want to just build 555 00:31:42,880 --> 00:31:45,520 Speaker 1: on the progress that you know, for most people meeting 556 00:31:45,600 --> 00:31:48,520 Speaker 1: incomes below where it was in two thousand and eight. 557 00:31:49,080 --> 00:31:51,200 Speaker 1: You know, they still think about TARP as a corrupt 558 00:31:51,200 --> 00:31:54,280 Speaker 1: deal in which the political class took care of themselves, 559 00:31:54,720 --> 00:31:56,640 Speaker 1: you know, and not working people, not the you know, 560 00:31:56,720 --> 00:32:00,840 Speaker 1: struggling working people in the country. UM. And you know 561 00:32:00,960 --> 00:32:04,160 Speaker 1: she in the convention when she by the way, when 562 00:32:04,160 --> 00:32:07,360 Speaker 1: she united with Sanders and uh, you know, and Warren 563 00:32:07,680 --> 00:32:10,440 Speaker 1: at the convention and her convention speech. In the debates, 564 00:32:10,880 --> 00:32:15,840 Speaker 1: she actually she adopted a bold economic change agenda. UM. 565 00:32:15,920 --> 00:32:17,920 Speaker 1: That won her very strong support, and that was her 566 00:32:17,960 --> 00:32:20,760 Speaker 1: strong Those were the points in which she was viewed 567 00:32:20,760 --> 00:32:24,360 Speaker 1: most strongly and had her biggest lead. UM. But you know, 568 00:32:24,480 --> 00:32:28,960 Speaker 1: after the debates, she never mentioned the economy again. She 569 00:32:29,000 --> 00:32:30,920 Speaker 1: never talked about what she was gonna do with the country. 570 00:32:31,360 --> 00:32:34,800 Speaker 1: She never talked about change. UM. It was more about 571 00:32:34,800 --> 00:32:38,800 Speaker 1: how Trump was unfit to be president. Unfit UM not 572 00:32:39,160 --> 00:32:41,400 Speaker 1: not the right temperament, not the right experience. Is the 573 00:32:41,440 --> 00:32:45,240 Speaker 1: fact it was offending different groups. They purposely did not 574 00:32:45,360 --> 00:32:49,640 Speaker 1: attack him or just qualify him. UM on screwing small 575 00:32:49,680 --> 00:32:55,840 Speaker 1: businesses and workers, using Chinese steel, musing you know, undocumented workers, 576 00:32:56,320 --> 00:32:59,120 Speaker 1: all of the kind of attacks that would undermine him 577 00:32:59,320 --> 00:33:02,360 Speaker 1: as being a job creator, and on the economy, they 578 00:33:02,440 --> 00:33:05,240 Speaker 1: purposely did not do those. I saw some of those 579 00:33:05,240 --> 00:33:09,719 Speaker 1: ads though, stand that said Donald Trump, you know, fixed 580 00:33:09,720 --> 00:33:13,600 Speaker 1: his golf course up or his golf club, whatever it's called, 581 00:33:13,640 --> 00:33:17,640 Speaker 1: and never paid the employees that did it. I saw 582 00:33:17,680 --> 00:33:20,080 Speaker 1: a lot of ads about that. Um. Not it was 583 00:33:20,200 --> 00:33:22,480 Speaker 1: it wasn't how either their campaign or the or the 584 00:33:22,520 --> 00:33:26,880 Speaker 1: outside super practical. Closed. All their ads were about um, 585 00:33:26,920 --> 00:33:29,560 Speaker 1: you know, temperament. The way he treated other people was language, 586 00:33:29,600 --> 00:33:33,560 Speaker 1: why women, That was the whole close. Maybe that was early. 587 00:33:33,640 --> 00:33:36,440 Speaker 1: And also if you look at also the President's closed 588 00:33:36,480 --> 00:33:40,400 Speaker 1: in the final two weekends, which was incomes are up, 589 00:33:40,440 --> 00:33:45,720 Speaker 1: poverties down, We've created millions of jobs. Build on the progress. 590 00:33:46,280 --> 00:33:48,520 Speaker 1: She'll finish the jump. It seems to me though she 591 00:33:48,640 --> 00:33:50,760 Speaker 1: was a bit between a rock and a hard place, 592 00:33:50,840 --> 00:33:53,560 Speaker 1: because people want to change, but she had to associate 593 00:33:53,560 --> 00:33:57,520 Speaker 1: herself with Barack Obama, hoping that the same people who 594 00:33:57,640 --> 00:34:00,440 Speaker 1: voted for him would come out and vote for her her, 595 00:34:00,480 --> 00:34:03,880 Speaker 1: so she couldn't really distance herself from him. And yet, 596 00:34:04,120 --> 00:34:07,479 Speaker 1: as she said, the overwhelming sentiment among many voters was 597 00:34:07,840 --> 00:34:11,359 Speaker 1: throw the bumps out, let's start over. You're absolutely right 598 00:34:11,360 --> 00:34:14,920 Speaker 1: in terms of how conflicted she was, but she she 599 00:34:15,040 --> 00:34:18,919 Speaker 1: created a campaign that had all of Obama's consultants um 600 00:34:19,280 --> 00:34:22,840 Speaker 1: and which was which was self conscious, was to be 601 00:34:22,920 --> 00:34:26,040 Speaker 1: as close as possible to Obama. He had a very high, 602 00:34:26,080 --> 00:34:29,200 Speaker 1: you know, job approval at the end, and what you 603 00:34:29,200 --> 00:34:31,040 Speaker 1: you know, would have thought, would you know it would 604 00:34:31,080 --> 00:34:33,960 Speaker 1: translate you know into you know, strong vote. I'm sure 605 00:34:34,080 --> 00:34:36,359 Speaker 1: she expected to win. Everyone else expected her to win 606 00:34:36,400 --> 00:34:39,960 Speaker 1: in part because of the state of the economy overall approval. 607 00:34:40,640 --> 00:34:45,120 Speaker 1: But you know, underneath the not just underneath, you know, 608 00:34:45,239 --> 00:34:48,200 Speaker 1: had a huge majority saying the country needed, you know, 609 00:34:48,280 --> 00:34:50,840 Speaker 1: big change. And these voters that went for Trump, I 610 00:34:50,920 --> 00:34:53,680 Speaker 1: wanted big change, and a lot of voters pulled away 611 00:34:53,680 --> 00:34:55,120 Speaker 1: from her at the end in the last week. I mean, 612 00:34:55,160 --> 00:34:56,680 Speaker 1: if you look at the data and the exit polls 613 00:34:56,680 --> 00:34:59,120 Speaker 1: that our own polls was in the last week that 614 00:34:59,160 --> 00:35:01,520 Speaker 1: a lot of these working class voters pulled back from her, 615 00:35:02,280 --> 00:35:05,600 Speaker 1: uh and moved to Trump when she did not offer 616 00:35:05,600 --> 00:35:07,880 Speaker 1: anything on the economy at the end. It was very polish. 617 00:35:08,080 --> 00:35:10,880 Speaker 1: It was difficult, obviously, you know, given we're you know, 618 00:35:11,000 --> 00:35:14,680 Speaker 1: the issues you raised, but it was very winnable and 619 00:35:14,719 --> 00:35:16,840 Speaker 1: the country needed that. She needed that kind of endate. 620 00:35:17,200 --> 00:35:19,360 Speaker 1: And what do you say to Democrats who just blamed 621 00:35:19,480 --> 00:35:22,400 Speaker 1: James Comy for the result? Not very helpful. I mean, look, 622 00:35:22,440 --> 00:35:24,120 Speaker 1: I mean, I'm look, there's no doubt that she would 623 00:35:24,160 --> 00:35:26,480 Speaker 1: would be president but for Comy and what the FBI 624 00:35:26,960 --> 00:35:29,719 Speaker 1: did in those weeks, there's no doubt at all that 625 00:35:29,760 --> 00:35:33,799 Speaker 1: but for Comy, she would be president today. I believe that. 626 00:35:34,040 --> 00:35:38,120 Speaker 1: But that doesn't but that, but but campaign's campaign's face 627 00:35:38,600 --> 00:35:44,000 Speaker 1: you know, you know, October surprises face huge issues. A 628 00:35:44,160 --> 00:35:47,440 Speaker 1: focused campaign has a direction as a mission is giving 629 00:35:47,560 --> 00:35:49,839 Speaker 1: is telling people where they want to take the country, 630 00:35:50,080 --> 00:35:53,799 Speaker 1: is telling the is making a choice between the candidates 631 00:35:54,200 --> 00:35:56,520 Speaker 1: that is compelling, that gets you to be able to 632 00:35:56,520 --> 00:35:59,839 Speaker 1: win in the key states at the end um, they 633 00:36:00,000 --> 00:36:03,319 Speaker 1: aren't giving that kind of central direction and mission and 634 00:36:03,480 --> 00:36:06,680 Speaker 1: vision that allowed people to look past the other pieces 635 00:36:06,640 --> 00:36:08,919 Speaker 1: of the hacking in the combing. And so while it's 636 00:36:08,960 --> 00:36:11,600 Speaker 1: true that they had an enormous impact, and I think 637 00:36:11,600 --> 00:36:15,319 Speaker 1: decisive impact, that doesn't mean you lose. You still have 638 00:36:15,440 --> 00:36:18,800 Speaker 1: a You still need to give people a reason to 639 00:36:18,880 --> 00:36:23,240 Speaker 1: vote for you and a choice, which they didn't do ultimately, 640 00:36:23,680 --> 00:36:26,920 Speaker 1: So Stan, let's close our conversation by talking about the 641 00:36:26,920 --> 00:36:31,000 Speaker 1: future and what Democrats should do now. And this kind 642 00:36:31,000 --> 00:36:34,360 Speaker 1: of takes me back to Macomb County. Are white working 643 00:36:34,400 --> 00:36:39,319 Speaker 1: class Midwesterners really the future of the party or should Democrats, 644 00:36:39,320 --> 00:36:41,600 Speaker 1: as some have argued, turned to the sun belt because 645 00:36:41,640 --> 00:36:43,600 Speaker 1: I mean they point to stuff like, you know, Hillary 646 00:36:43,640 --> 00:36:45,960 Speaker 1: only lost Arizona by three and a half and she 647 00:36:46,080 --> 00:36:49,799 Speaker 1: lost Ohio by eight. You know, I've written a book 648 00:36:49,800 --> 00:36:52,520 Speaker 1: about them called America send you know that talks about 649 00:36:52,520 --> 00:36:55,960 Speaker 1: these trends, and these trends are accelerating. You know, everything 650 00:36:56,000 --> 00:36:59,520 Speaker 1: we're talking about is accelerating. That is the concentration of 651 00:36:59,560 --> 00:37:03,080 Speaker 1: the GDP, you know in the metro and the metro areas. 652 00:37:03,640 --> 00:37:06,640 Speaker 1: You know, the growing farm population, all of these trends 653 00:37:06,760 --> 00:37:11,000 Speaker 1: are accelerating. Growing diversity, multiculturalism in this you know, in 654 00:37:11,040 --> 00:37:13,880 Speaker 1: the cities. All these things are the future. There's no doubt. 655 00:37:14,320 --> 00:37:17,319 Speaker 1: Millennials are increasing, you know, you know, part of the population, 656 00:37:17,840 --> 00:37:21,719 Speaker 1: and any you know, democratic strategy has to embrace you know, 657 00:37:21,760 --> 00:37:27,000 Speaker 1: that majority. But there's two pieces of that. Those voters 658 00:37:27,040 --> 00:37:29,839 Speaker 1: themselves are also struggling economically. We're not if you look 659 00:37:29,840 --> 00:37:32,480 Speaker 1: at millennials and and and being weighed down, you know, 660 00:37:32,520 --> 00:37:35,520 Speaker 1: by debt. If you look at the parts of our base, 661 00:37:35,600 --> 00:37:37,960 Speaker 1: the working class parts of our base included unmarried with 662 00:37:38,040 --> 00:37:40,719 Speaker 1: single women who are quarter of the electorate, you know, 663 00:37:40,760 --> 00:37:44,520 Speaker 1: they are struggling economically, and they're looking for Democrats to 664 00:37:44,560 --> 00:37:47,800 Speaker 1: have an economic message and to be doing addressing issues 665 00:37:47,840 --> 00:37:50,520 Speaker 1: that matter to them. So I don't I think it's 666 00:37:50,520 --> 00:37:53,680 Speaker 1: a false choice. There was I embrace the New America. 667 00:37:54,120 --> 00:37:56,680 Speaker 1: And that's where you know, that's where we're gonna you know, 668 00:37:56,680 --> 00:37:59,600 Speaker 1: build our majority, but we don't get them, we don't 669 00:37:59,600 --> 00:38:03,040 Speaker 1: maxim mize our support even there unless we understand what's 670 00:38:03,080 --> 00:38:05,880 Speaker 1: happening to working people, you know, black, white, you know, brown. 671 00:38:06,480 --> 00:38:08,560 Speaker 1: You know, this is a you know, a broad problem 672 00:38:08,760 --> 00:38:10,560 Speaker 1: you know that's still you know that runs through this 673 00:38:10,640 --> 00:38:14,160 Speaker 1: country and they are they do feel forgotten. And so 674 00:38:14,320 --> 00:38:19,160 Speaker 1: part of Democrats winning is also being seen to recognize 675 00:38:19,239 --> 00:38:21,520 Speaker 1: that working people you know, are you know, are you know, 676 00:38:21,560 --> 00:38:25,200 Speaker 1: are struggling And this is a we are fifty states 677 00:38:25,480 --> 00:38:27,160 Speaker 1: now there are a lot of Southern states which we 678 00:38:27,160 --> 00:38:29,000 Speaker 1: aren't going to win. But this is a you know, 679 00:38:29,120 --> 00:38:32,120 Speaker 1: a constitutional system, and would you have lots of states, 680 00:38:32,120 --> 00:38:35,840 Speaker 1: would you like senators and do reapportionment in which rural 681 00:38:35,880 --> 00:38:39,200 Speaker 1: areas and and and and small town areas play a 682 00:38:39,239 --> 00:38:42,880 Speaker 1: big part in those states. And you can't win in America, 683 00:38:43,200 --> 00:38:46,239 Speaker 1: you can't govern in America unless you both embrace the 684 00:38:46,280 --> 00:38:50,400 Speaker 1: new America but also find ways to really represent working 685 00:38:50,400 --> 00:38:53,600 Speaker 1: Americans who feel unrepresented. Do you think stand the secret 686 00:38:53,640 --> 00:38:59,840 Speaker 1: sauce for politicians of the future will be understanding this changing, 687 00:39:00,080 --> 00:39:04,320 Speaker 1: rapidly changing job market, how people can earn a living 688 00:39:04,640 --> 00:39:09,200 Speaker 1: and how they're going to move from manufacturing to a 689 00:39:09,280 --> 00:39:12,480 Speaker 1: different kind of economy. Yeah, I do. I don't know 690 00:39:12,480 --> 00:39:13,960 Speaker 1: if it's a secret. I don't know if it's a 691 00:39:14,000 --> 00:39:16,880 Speaker 1: secret sauce. But you're you're right to raise it. And 692 00:39:16,920 --> 00:39:19,960 Speaker 1: so Democrats, I think, do have an opportunity help because 693 00:39:20,000 --> 00:39:23,120 Speaker 1: I don't I'm not sure what Trump is real. You know, 694 00:39:23,160 --> 00:39:25,360 Speaker 1: I know he's talking. You know, he'll badge your companies 695 00:39:25,440 --> 00:39:29,319 Speaker 1: into building plants supposedly, you know, in America. But the 696 00:39:29,400 --> 00:39:31,160 Speaker 1: question is are there really going to be you know, 697 00:39:31,600 --> 00:39:34,880 Speaker 1: mind coal mines, you know, reopening you know under Trump, 698 00:39:35,280 --> 00:39:37,680 Speaker 1: how much auto employment is going to come in these 699 00:39:37,719 --> 00:39:40,480 Speaker 1: new factories a trivial amount if you look at the 700 00:39:40,480 --> 00:39:44,720 Speaker 1: projective job growth in manufacturing, you know, even with Trump's 701 00:39:44,760 --> 00:39:48,759 Speaker 1: you know scenario. And so the bigger opportunity for progressives 702 00:39:48,840 --> 00:39:50,759 Speaker 1: is recognized that Trump is not real. He's not real 703 00:39:50,840 --> 00:39:52,920 Speaker 1: on trade, He hasn't you know, he didn't do what 704 00:39:52,960 --> 00:39:56,240 Speaker 1: he said he would do in currency manipulation. Trade barriers 705 00:39:56,280 --> 00:39:59,120 Speaker 1: are not the answer. Tariffs are not the answer, you know, 706 00:39:59,200 --> 00:40:01,799 Speaker 1: you know, going forward. So I think I think we're 707 00:40:01,800 --> 00:40:03,920 Speaker 1: gonna find that the Republicans that maybe even Trump, are 708 00:40:03,920 --> 00:40:06,640 Speaker 1: pretty empty in the end when it comes to how 709 00:40:06,680 --> 00:40:09,040 Speaker 1: you address these issues. And I do think then it 710 00:40:09,120 --> 00:40:11,360 Speaker 1: will turn to Democrats, um and I think this is 711 00:40:11,360 --> 00:40:13,239 Speaker 1: a real opportunity. I don't want to have Donald Trump 712 00:40:13,280 --> 00:40:16,600 Speaker 1: as present for years to get that opportunity, you know, 713 00:40:16,640 --> 00:40:20,040 Speaker 1: But think about had she won and what a struggle 714 00:40:20,120 --> 00:40:22,640 Speaker 1: that would have been in office and what the off 715 00:40:22,800 --> 00:40:26,040 Speaker 1: year and twenty elections would look like. I actually think 716 00:40:26,040 --> 00:40:27,920 Speaker 1: you are going to have both an eighteen and twenty 717 00:40:27,960 --> 00:40:31,240 Speaker 1: in particular, a chance for Democrats to really be pretty 718 00:40:31,280 --> 00:40:34,920 Speaker 1: bold and real about how you really do have a 719 00:40:35,000 --> 00:40:38,080 Speaker 1: prosperity that you know, raises all you know, all ships, 720 00:40:38,560 --> 00:40:40,880 Speaker 1: you know, not the kind of prosperity that Trump is 721 00:40:40,880 --> 00:40:43,919 Speaker 1: talking about. And stand there's obviously a big debate within 722 00:40:43,960 --> 00:40:46,680 Speaker 1: the Democratic Party about what the message ought to be 723 00:40:47,120 --> 00:40:50,440 Speaker 1: going forward. You've had a lot of praise about the 724 00:40:50,480 --> 00:40:53,600 Speaker 1: Warren Sanders wing of the party. You wrote in your 725 00:40:53,640 --> 00:40:56,120 Speaker 1: memo that that's the kind of change the voters are 726 00:40:56,200 --> 00:41:00,640 Speaker 1: hungry for. But Democrats, as you know, are increasingly dependent 727 00:41:00,760 --> 00:41:07,160 Speaker 1: on college educated professional voters in the suburbs and metropolitan areas. 728 00:41:07,280 --> 00:41:10,480 Speaker 1: And are you concerned that the Democrats are going to 729 00:41:10,600 --> 00:41:15,800 Speaker 1: move too far to the left and alienate voters that 730 00:41:15,800 --> 00:41:20,480 Speaker 1: that the party now needs. Well, will that be interesting? Look, 731 00:41:20,520 --> 00:41:23,879 Speaker 1: I think this is a Uh the problem you're talking 732 00:41:23,880 --> 00:41:28,640 Speaker 1: about is is one that comes from riches of opportunity 733 00:41:29,160 --> 00:41:32,879 Speaker 1: because you have an increasingly diverse American and and Donald 734 00:41:32,920 --> 00:41:35,640 Speaker 1: Trump is not going to you know, change change that, 735 00:41:36,160 --> 00:41:38,439 Speaker 1: and and many of those look to a Democratic party 736 00:41:38,480 --> 00:41:42,839 Speaker 1: that's open to you know, multiculturalism, um, and a kind 737 00:41:42,840 --> 00:41:47,680 Speaker 1: of economic dynamism which riches you know everyone. Um. It 738 00:41:47,760 --> 00:41:52,640 Speaker 1: also includes the affluent suburbs, which are voting increasingly Democratic, 739 00:41:52,680 --> 00:41:56,160 Speaker 1: not just in this election but over time. But also 740 00:41:56,280 --> 00:41:57,800 Speaker 1: it has to include a lot of working people, a 741 00:41:57,840 --> 00:42:00,239 Speaker 1: lot of people in our base, you know, our work people. 742 00:42:00,239 --> 00:42:01,759 Speaker 1: It was not you know. The what we have to 743 00:42:01,800 --> 00:42:05,520 Speaker 1: recognize is that a majority of whites art without a 744 00:42:05,520 --> 00:42:10,439 Speaker 1: four year degree. They pulled back under the Obama presidency. 745 00:42:10,640 --> 00:42:14,319 Speaker 1: And part of the deal has to be you know, 746 00:42:14,360 --> 00:42:17,520 Speaker 1: winning those voters. Otherwise you can't win you know, across 747 00:42:17,560 --> 00:42:20,560 Speaker 1: the country. Uh. And even can't be assured of the 748 00:42:20,640 --> 00:42:24,800 Speaker 1: kind of electrical electric college majority, you know, the landslide 749 00:42:25,040 --> 00:42:27,759 Speaker 1: they would like to achieve. But can Democrats win those 750 00:42:27,840 --> 00:42:33,439 Speaker 1: voters without alienating the more moderate professional voters that they've 751 00:42:33,480 --> 00:42:37,120 Speaker 1: increasingly come to rely upon. I'm skeptical that that that 752 00:42:37,239 --> 00:42:40,879 Speaker 1: is that big a trade off. Bernie Senators was very 753 00:42:40,920 --> 00:42:44,479 Speaker 1: strong in the in the primary, mainly because he made 754 00:42:44,480 --> 00:42:47,960 Speaker 1: reform his central peace. Uh that he you know, he 755 00:42:47,960 --> 00:42:49,560 Speaker 1: said he was going to clean up politics. If he 756 00:42:49,560 --> 00:42:51,840 Speaker 1: said it was one policy that he would address, it 757 00:42:51,840 --> 00:42:54,240 Speaker 1: would be going after money and you know, money and politics, 758 00:42:54,280 --> 00:42:57,759 Speaker 1: because that's what corrupts it. That is like a point 759 00:42:57,800 --> 00:43:01,600 Speaker 1: of entry for everyone in the Democrat coalition. You gotta 760 00:43:01,640 --> 00:43:04,279 Speaker 1: clean up money in politics. You gotta reform politics. And 761 00:43:04,360 --> 00:43:06,960 Speaker 1: so I think there's a reform agenda um that you 762 00:43:06,960 --> 00:43:09,960 Speaker 1: know that you know carries uh, you know across It 763 00:43:10,040 --> 00:43:13,680 Speaker 1: is true the college educators are more pro trade. But 764 00:43:13,760 --> 00:43:16,239 Speaker 1: when you get to a whole variety of other policies, 765 00:43:16,400 --> 00:43:21,080 Speaker 1: you know, including education, job training, investment, and infrastructure. UM, 766 00:43:21,200 --> 00:43:23,359 Speaker 1: I don't think it's such a such a trade off. 767 00:43:23,400 --> 00:43:26,680 Speaker 1: I'd be surprised, you know, if those who are running 768 00:43:26,719 --> 00:43:30,360 Speaker 1: from that wing you know, of the party, um, you know, 769 00:43:30,400 --> 00:43:34,440 Speaker 1: aren't able to reach voters across the primary elector Well. 770 00:43:34,480 --> 00:43:38,440 Speaker 1: I think one thing is certain. Stand these are fascinating times, 771 00:43:38,520 --> 00:43:43,480 Speaker 1: and I think unsettling times for Americans all across the 772 00:43:43,560 --> 00:43:47,480 Speaker 1: political spectrum because the country is so divided, and it 773 00:43:47,520 --> 00:43:51,400 Speaker 1: will be really interesting to see how this all shakes 774 00:43:51,440 --> 00:43:54,960 Speaker 1: out and what's going to happen in Maybe you'll come 775 00:43:55,000 --> 00:43:58,080 Speaker 1: back and do our podcast. I promise, I promise. After 776 00:43:58,239 --> 00:44:03,000 Speaker 1: the after the landslide, old reformists win for Democrats are 777 00:44:03,000 --> 00:44:07,239 Speaker 1: now going to be under pressure to deliver. Stan. Thank 778 00:44:07,280 --> 00:44:10,240 Speaker 1: you so much. Brian. Would you like to whisper sweet 779 00:44:10,320 --> 00:44:13,799 Speaker 1: nothings to your friends Dan, because as I said at 780 00:44:13,800 --> 00:44:16,439 Speaker 1: one point, you, Bryan and Stan, you need to get away. 781 00:44:17,440 --> 00:44:20,200 Speaker 1: It's so excited about that. She gives me more abuse 782 00:44:20,280 --> 00:44:22,799 Speaker 1: for respecting your work over the years. It's really you know, 783 00:44:22,880 --> 00:44:25,279 Speaker 1: she's created a hostile work environment. I have to say, 784 00:44:26,880 --> 00:44:29,080 Speaker 1: we have to talk about this on the side. Yeah, yeah, 785 00:44:29,080 --> 00:44:31,359 Speaker 1: that's a different conversation. Thank you so much for coming 786 00:44:31,400 --> 00:44:37,640 Speaker 1: on the show as usual. A huge thank you to 787 00:44:37,760 --> 00:44:41,600 Speaker 1: Giana Palmer for producing our show and for editing the 788 00:44:41,640 --> 00:44:44,160 Speaker 1: hell out of this one. By the way, also to 789 00:44:44,880 --> 00:44:51,520 Speaker 1: Zack diner Stein not Dak zeiner Stein, Zack diner Stein 790 00:44:51,880 --> 00:44:55,000 Speaker 1: for mixing and engineering, and to Ryan Connor for engineering 791 00:44:55,040 --> 00:44:57,960 Speaker 1: assistance in l A and Dave Shaw for his help 792 00:44:58,000 --> 00:45:01,200 Speaker 1: in Washington, d C. And thank as always to our 793 00:45:01,239 --> 00:45:04,680 Speaker 1: social media maven Alison Bresnik, and to Emily Bena for 794 00:45:04,719 --> 00:45:08,239 Speaker 1: her part in producing the show. Thanks to our fantastic 795 00:45:08,320 --> 00:45:12,120 Speaker 1: intern Nora Richie and Mark Phillips. Thank you for our 796 00:45:12,239 --> 00:45:14,880 Speaker 1: fantastic theme music. I know that Katie sings it in 797 00:45:14,920 --> 00:45:18,040 Speaker 1: the shower. I love it. I'm going to buy the CD. 798 00:45:18,760 --> 00:45:20,759 Speaker 1: Do they still make c ds? You can buy it 799 00:45:20,800 --> 00:45:24,200 Speaker 1: on iTunes or something. Katie Currik, Mitch Simul and I 800 00:45:24,280 --> 00:45:27,840 Speaker 1: are the executive producers and we're not just saying this, folks. 801 00:45:27,880 --> 00:45:30,440 Speaker 1: We really do love hearing from you. And remember you 802 00:45:30,480 --> 00:45:34,680 Speaker 1: can also email us at comments at correct podcast dot 803 00:45:34,680 --> 00:45:37,640 Speaker 1: com be nice, or you can find me on social 804 00:45:37,680 --> 00:45:40,800 Speaker 1: media to be nice there as well. I'm Katie Curic 805 00:45:40,840 --> 00:45:44,279 Speaker 1: on Twitter and Instagram and Katie dot Kuric on Snapchat. 806 00:45:44,840 --> 00:45:47,120 Speaker 1: For the four people who are interested, I am at 807 00:45:47,160 --> 00:45:50,000 Speaker 1: Goldsmith Be on Twitter. And best of all, you can 808 00:45:50,120 --> 00:45:53,000 Speaker 1: rate and review the show on iTunes. We really appreciate 809 00:45:53,040 --> 00:45:56,040 Speaker 1: your feedback and uh we'll talk to you next time. 810 00:45:56,160 --> 00:46:03,200 Speaker 1: Bye everyone, Bye, Brian, Bye on Cotten. Move to w 811 00:46:03,560 --> 00:46:03,600 Speaker 1: U