1 00:00:04,280 --> 00:00:07,400 Speaker 1: Hey, Brian, Hi Katie. Well, Brian, you know I love 2 00:00:07,440 --> 00:00:10,640 Speaker 1: to play music or sing it times during our podcast, 3 00:00:10,880 --> 00:00:14,040 Speaker 1: and for this week's episode, I found just the ticket. 4 00:00:14,200 --> 00:00:18,720 Speaker 1: Let me take you back to nine three. This got 5 00:00:18,840 --> 00:00:25,759 Speaker 1: to be a mooning enough. If we can hold on, 6 00:00:27,400 --> 00:00:33,800 Speaker 1: not we have a chance to find the sun shot. 7 00:00:36,120 --> 00:00:41,920 Speaker 1: Let's keep on. Very well played, Katie, Thank you, very 8 00:00:41,920 --> 00:00:45,160 Speaker 1: well played. With a hat tip to Maureen McGovern, Thank 9 00:00:45,200 --> 00:00:48,560 Speaker 1: you Maureen for that tune and Brian. Today we're going 10 00:00:48,640 --> 00:00:51,760 Speaker 1: to spend some time looking for the light to try 11 00:00:51,800 --> 00:00:55,320 Speaker 1: to understand what happened during the mid term elections and 12 00:00:55,360 --> 00:00:57,960 Speaker 1: what they mean for the future of the country. As 13 00:00:58,040 --> 00:01:01,280 Speaker 1: we know, the Democrats took the House, flipping dozens of 14 00:01:01,320 --> 00:01:05,040 Speaker 1: Republican districts, but the Republicans kept control of the Senate, 15 00:01:05,319 --> 00:01:09,640 Speaker 1: gaining a number of seats by beating incumbent Democrats. Well, 16 00:01:09,680 --> 00:01:12,040 Speaker 1: this is like Christmas Morning for me, Katie. So I'm 17 00:01:12,120 --> 00:01:15,560 Speaker 1: so excited about this show, and we've invited one of 18 00:01:15,560 --> 00:01:19,360 Speaker 1: the people I most admire, Amy Walter, a terrific political analyst, 19 00:01:19,720 --> 00:01:22,319 Speaker 1: to talk with us today about what happened where we 20 00:01:22,400 --> 00:01:25,240 Speaker 1: go from here. She's the national editor of the Cook 21 00:01:25,319 --> 00:01:28,360 Speaker 1: Political Report, which by the Way is my favorite beach read, 22 00:01:28,560 --> 00:01:30,840 Speaker 1: highly recommended to all of you. Then we're going to 23 00:01:30,920 --> 00:01:33,880 Speaker 1: be hearing from some of you are listeners, because voters 24 00:01:34,000 --> 00:01:37,240 Speaker 1: from all across the country are calling in with questions 25 00:01:37,400 --> 00:01:40,679 Speaker 1: or interesting perspectives, and I'm very excited about that as well. 26 00:01:40,880 --> 00:01:42,600 Speaker 1: And in the second half of the show, we're gonna 27 00:01:42,640 --> 00:01:46,160 Speaker 1: hear from presidential historian Doug Brinkley. He's going to talk 28 00:01:46,200 --> 00:01:49,600 Speaker 1: about the big picture, how the midterms will change the 29 00:01:49,680 --> 00:01:53,360 Speaker 1: trajectory of Donald Trump's presidency, and also what lessons he 30 00:01:53,400 --> 00:01:57,520 Speaker 1: can learn from the way past presidents dealt with opposition congresses. 31 00:01:57,680 --> 00:02:00,840 Speaker 1: Doug Brinkley one of my favorites. But first let's talk 32 00:02:00,880 --> 00:02:03,720 Speaker 1: to another one of my favorites, Amy Walter. We got 33 00:02:03,760 --> 00:02:06,600 Speaker 1: her on the line yesterday morning, fresh off the mid terms. 34 00:02:15,360 --> 00:02:18,519 Speaker 1: Amy Walter, Welcome to the podcast. It's great to have you, 35 00:02:19,040 --> 00:02:22,440 Speaker 1: who I'm very glad to be here. I it's the 36 00:02:22,600 --> 00:02:26,520 Speaker 1: my day after the election. UM mood and mood, which 37 00:02:26,600 --> 00:02:30,480 Speaker 1: is a just um really subsisting on adrenaline, caffeine, a 38 00:02:30,480 --> 00:02:32,440 Speaker 1: little bit of sugar, and a lot of peanut butter. 39 00:02:32,680 --> 00:02:36,200 Speaker 1: And that's it. That's all that's keeping me alive right now. Nice. Well, 40 00:02:36,200 --> 00:02:38,440 Speaker 1: you know, it seems to me that both sides are 41 00:02:38,480 --> 00:02:41,919 Speaker 1: claiming victory. Certainly compared to two thousand and ten, when 42 00:02:41,960 --> 00:02:47,399 Speaker 1: Barack Obama famously self described his experience as a shellacking, 43 00:02:48,160 --> 00:02:50,160 Speaker 1: it seems to be more of a mixed verdict for 44 00:02:50,200 --> 00:02:54,800 Speaker 1: President Trump. In fact, he portrayed this way quote tremendous 45 00:02:54,840 --> 00:02:59,560 Speaker 1: success tonight, thank you to all. So how can we 46 00:02:59,720 --> 00:03:04,200 Speaker 1: see such different perspectives on the same results. They both 47 00:03:04,200 --> 00:03:08,360 Speaker 1: actually can be correct, that both sides can find something 48 00:03:08,480 --> 00:03:11,480 Speaker 1: that they really liked out of this midterm election. And 49 00:03:11,520 --> 00:03:14,280 Speaker 1: it's something, Katie, that we've been talking about the Cook 50 00:03:14,320 --> 00:03:18,160 Speaker 1: Report for quite some time because of two things. One 51 00:03:18,360 --> 00:03:21,639 Speaker 1: just how polarized we are as a country now. Um 52 00:03:21,720 --> 00:03:25,720 Speaker 1: we saw it obviously in the difference between the popular 53 00:03:25,840 --> 00:03:29,919 Speaker 1: vote and the electoral college vote and how it's playing 54 00:03:29,919 --> 00:03:32,760 Speaker 1: out in a mid term year. Is that the House vote, 55 00:03:33,240 --> 00:03:36,040 Speaker 1: which it looks like Democrats will have won by about 56 00:03:36,120 --> 00:03:40,640 Speaker 1: nine points somewhere north of thirty seats. But in the Senate, 57 00:03:40,960 --> 00:03:47,400 Speaker 1: where the map was decidedly read, Democrats defending ten states 58 00:03:47,440 --> 00:03:51,040 Speaker 1: that Trump carried, uh five of them that Trump carried 59 00:03:51,080 --> 00:03:56,920 Speaker 1: by double digits. The president remained popular and his success 60 00:03:57,040 --> 00:04:01,600 Speaker 1: his popularity helped to boost or publican candidates there, and 61 00:04:01,720 --> 00:04:05,880 Speaker 1: so we had two different elections take place on Election 62 00:04:05,960 --> 00:04:09,560 Speaker 1: Night in two very different Americas. As I'm beginning to 63 00:04:09,600 --> 00:04:14,160 Speaker 1: break down in my own head, it seems like we're 64 00:04:14,200 --> 00:04:17,599 Speaker 1: just seeing an acceleration of all the trends we've witnessed 65 00:04:17,640 --> 00:04:20,320 Speaker 1: in the last few years in politics, kind of culminating 66 00:04:20,320 --> 00:04:25,080 Speaker 1: in the election of Donald Trump. This big educational divide 67 00:04:25,400 --> 00:04:29,360 Speaker 1: between white collar, college educated whites and blue collar, non 68 00:04:29,440 --> 00:04:33,400 Speaker 1: college educated whites, a divide between cities and close in 69 00:04:33,520 --> 00:04:36,560 Speaker 1: suburbs on the one hand, and excerpts in rural areas 70 00:04:36,560 --> 00:04:41,280 Speaker 1: on the other, whites versus minorities, etcetera, etcetera. Is there 71 00:04:41,320 --> 00:04:45,440 Speaker 1: anything new or different that we learned in this election 72 00:04:45,520 --> 00:04:47,640 Speaker 1: that we didn't know going in. I don't know that 73 00:04:47,720 --> 00:04:50,680 Speaker 1: we learned anything particularly new, And I think that this 74 00:04:50,760 --> 00:04:53,240 Speaker 1: is what sort of fascinating about this election is that 75 00:04:53,360 --> 00:04:56,200 Speaker 1: if you look at the exit polls, for example, of 76 00:04:56,240 --> 00:05:01,400 Speaker 1: the election that basically told you the story of the 77 00:05:02,279 --> 00:05:06,599 Speaker 1: eighteen election, We've had an incredible amount of stuff happen 78 00:05:07,080 --> 00:05:11,919 Speaker 1: in between eighteen and yet we ended up essentially in 79 00:05:11,960 --> 00:05:17,120 Speaker 1: the same place. And the amazing thing for the President 80 00:05:17,160 --> 00:05:20,880 Speaker 1: again is as as you noted earlier, go on to 81 00:05:20,960 --> 00:05:23,479 Speaker 1: say that he was successful, right, the places where he 82 00:05:23,560 --> 00:05:27,480 Speaker 1: campaigned the candidates one, that is true. The places where 83 00:05:27,520 --> 00:05:31,400 Speaker 1: he was popular candidates one, absolutely true. But there a 84 00:05:31,480 --> 00:05:35,640 Speaker 1: whole lot of places that we know that the president 85 00:05:35,720 --> 00:05:44,440 Speaker 1: carried in Wisconsin, Michigan, Pennsylvania where Republicans didn't do very well. Um, 86 00:05:44,440 --> 00:05:47,040 Speaker 1: those are going to be uh to me. Those are 87 00:05:47,040 --> 00:05:48,800 Speaker 1: the sorts of places I'm going to be spending a 88 00:05:48,800 --> 00:05:52,400 Speaker 1: lot more time looking at as we get into And 89 00:05:52,400 --> 00:05:54,560 Speaker 1: the other question I think is whether this is a 90 00:05:54,600 --> 00:05:58,120 Speaker 1: permanent realignment that we're seeing or whether this is one 91 00:05:59,120 --> 00:06:03,880 Speaker 1: that is really unique to President Trump. Are these districts that, 92 00:06:04,440 --> 00:06:08,839 Speaker 1: for example, in the Houston suburbs that went for Mitt 93 00:06:08,920 --> 00:06:13,960 Speaker 1: Romney by double digits and then flipped to a Democrat 94 00:06:14,040 --> 00:06:17,719 Speaker 1: this year, are these now permanently in the Democrats camp 95 00:06:17,920 --> 00:06:21,280 Speaker 1: or are they going to move back to their sort 96 00:06:21,320 --> 00:06:26,280 Speaker 1: of Republican DNA once Trump's no longer in office. And 97 00:06:26,320 --> 00:06:28,200 Speaker 1: we're not going to have the answer to that right now, 98 00:06:28,520 --> 00:06:33,040 Speaker 1: but I do think that what we have today, instead 99 00:06:33,040 --> 00:06:37,200 Speaker 1: of a president with a broad coalition, he has a 100 00:06:37,320 --> 00:06:41,800 Speaker 1: narrow but deeply committed coalition. One more thing just to 101 00:06:42,640 --> 00:06:46,400 Speaker 1: recognize is again the president definitely had some successes. It's 102 00:06:46,440 --> 00:06:48,760 Speaker 1: always better to have a bigger Senate majority than a 103 00:06:48,800 --> 00:06:53,240 Speaker 1: smaller one, and it will be a more committed Trump majority. 104 00:06:53,360 --> 00:06:57,080 Speaker 1: Remember some of his biggest critics, Jeff Flake, Bob Corker 105 00:06:57,160 --> 00:07:00,280 Speaker 1: from Tennessee, they're no longer in the delegations and have 106 00:07:00,360 --> 00:07:05,040 Speaker 1: to worry about the Mavericks so much anymore, potentially denying 107 00:07:05,120 --> 00:07:08,600 Speaker 1: him Supreme if there's another Supreme Court opening or other 108 00:07:08,760 --> 00:07:13,400 Speaker 1: judicial openings. But I don't think we have any idea 109 00:07:13,640 --> 00:07:18,400 Speaker 1: how this president is going to react to Democratic Congress, 110 00:07:18,880 --> 00:07:21,960 Speaker 1: the subpoenas, the oversight, and at the same time, we 111 00:07:22,000 --> 00:07:24,200 Speaker 1: have no idea how Democrats are going to react to 112 00:07:24,280 --> 00:07:27,440 Speaker 1: not knowing how Trump is going to react it. It 113 00:07:27,440 --> 00:07:30,080 Speaker 1: feels to me a little bit like you're handling a 114 00:07:30,280 --> 00:07:35,520 Speaker 1: very uh unstable substance. You know it's nitroglycerin or something, 115 00:07:35,560 --> 00:07:38,640 Speaker 1: and you're passing it around between each other and at 116 00:07:38,680 --> 00:07:42,240 Speaker 1: some point you know that something's going to explode. I 117 00:07:42,320 --> 00:07:44,200 Speaker 1: just don't know who's going to be holding it when 118 00:07:44,280 --> 00:07:48,040 Speaker 1: it explodes. Well, you know, it's interesting, as Brian and 119 00:07:48,080 --> 00:07:53,000 Speaker 1: I have listened to the analysis at nause um um. 120 00:07:53,000 --> 00:07:56,280 Speaker 1: You know, one one side posits that it actually is 121 00:07:56,480 --> 00:08:01,000 Speaker 1: helpful to President Trump to have an enemy. And now 122 00:08:01,080 --> 00:08:05,240 Speaker 1: that enemy obviously will be the democratically controlled House of 123 00:08:05,360 --> 00:08:10,840 Speaker 1: Representatives and Nancy Pelosi, which you can only imagine sort 124 00:08:10,880 --> 00:08:13,360 Speaker 1: of the vitriol that's going to be coming her way. 125 00:08:13,880 --> 00:08:17,200 Speaker 1: A S. A. P. So you have no idea in 126 00:08:17,320 --> 00:08:20,920 Speaker 1: terms of the dynamic we might be witnessing between the 127 00:08:21,000 --> 00:08:25,320 Speaker 1: House and the White House, right because the President is 128 00:08:25,360 --> 00:08:29,600 Speaker 1: so unpredictable, Well, he's predictably unpredictable, right, I mean, we 129 00:08:29,680 --> 00:08:32,880 Speaker 1: I think we know that he's going to punch back 130 00:08:32,920 --> 00:08:39,400 Speaker 1: at any subpoena or oversight or question by Democrats. But 131 00:08:39,640 --> 00:08:43,840 Speaker 1: the Democrats could also put in front of Congress some 132 00:08:44,080 --> 00:08:49,120 Speaker 1: of the cabinet members or the administration officials who quite 133 00:08:49,120 --> 00:08:51,320 Speaker 1: frankly haven't had to answer any questions for the last 134 00:08:51,360 --> 00:08:56,040 Speaker 1: two years on some pretty significant policy, whether that's healthcare 135 00:08:56,440 --> 00:09:01,400 Speaker 1: or immigration or trade, and they're answers to those questions 136 00:09:01,800 --> 00:09:05,320 Speaker 1: could be a bigger problem for Republicans than the President 137 00:09:05,320 --> 00:09:08,120 Speaker 1: can acknowledge right now. And I think he's focused very 138 00:09:08,120 --> 00:09:11,440 Speaker 1: specifically on well, if the Democrats try to impeach me, 139 00:09:11,640 --> 00:09:13,600 Speaker 1: they're going to go too far, or if Democrats try 140 00:09:13,640 --> 00:09:17,400 Speaker 1: to impeach Judge Kavanaugh, that's not what the American public wants, 141 00:09:17,400 --> 00:09:20,880 Speaker 1: so show their just obstructionists. But what if they start 142 00:09:20,920 --> 00:09:25,440 Speaker 1: bringing folks from HHS or DHS up to the Hill 143 00:09:25,640 --> 00:09:30,160 Speaker 1: and start asking questions about the immigration process on the border. 144 00:09:30,520 --> 00:09:33,040 Speaker 1: What about asking questions about the e p A and 145 00:09:33,080 --> 00:09:36,240 Speaker 1: some of the deregulatory efforts. What if they start asking 146 00:09:36,320 --> 00:09:40,160 Speaker 1: questions that Republicans and the administration don't have very good 147 00:09:40,200 --> 00:09:46,240 Speaker 1: answers for, or uncover scandals that previously had gone unknown 148 00:09:46,400 --> 00:09:49,720 Speaker 1: or unremarked. This is you know, again, this is not 149 00:09:49,880 --> 00:09:55,040 Speaker 1: just theoretical. These folks in Congress do have subpoena power. 150 00:09:56,000 --> 00:09:59,360 Speaker 1: Amy pray your point about impeachment. I think it's pretty 151 00:09:59,360 --> 00:10:03,240 Speaker 1: clear that the Democratic leadership at least has no interest 152 00:10:03,280 --> 00:10:06,960 Speaker 1: in that from a political perspective, But they may not 153 00:10:07,080 --> 00:10:10,880 Speaker 1: have a choice if and when Robert Mueller issues his 154 00:10:11,000 --> 00:10:16,920 Speaker 1: report and there's some pretty damning accusations in there, um 155 00:10:16,960 --> 00:10:19,280 Speaker 1: which there might be, there might not be, but if 156 00:10:19,320 --> 00:10:24,360 Speaker 1: there are, um, can't you see a process like that 157 00:10:24,679 --> 00:10:29,000 Speaker 1: derailing whatever the agenda is now that the Democrats are 158 00:10:29,000 --> 00:10:31,959 Speaker 1: trying to absolutely and I think there are a lot 159 00:10:31,960 --> 00:10:35,880 Speaker 1: of question marks about that, as well as requesting the 160 00:10:35,880 --> 00:10:40,280 Speaker 1: president's tax records, which they can do, but I don't 161 00:10:40,320 --> 00:10:44,880 Speaker 1: know what legislative accomplishment comes from that, you know, like, 162 00:10:44,920 --> 00:10:49,720 Speaker 1: what's the what's the reasoning behind that for Congress, And 163 00:10:50,320 --> 00:10:52,240 Speaker 1: they're going to have to be able to to make 164 00:10:52,320 --> 00:10:55,640 Speaker 1: that case pretty cleanly and clearly for it to look 165 00:10:55,679 --> 00:11:00,440 Speaker 1: like it's substitutive rather than just phishing expedition. Uh, that's 166 00:11:00,440 --> 00:11:04,640 Speaker 1: focused on just embarrassing the president. Speaking of that, Amy, 167 00:11:04,640 --> 00:11:06,600 Speaker 1: I was going to ask you about you know, there's 168 00:11:06,640 --> 00:11:09,520 Speaker 1: been a lot of debate internally, Amy, about the direction 169 00:11:09,600 --> 00:11:12,720 Speaker 1: of the Democratic Party, with a sort of fight over 170 00:11:12,800 --> 00:11:15,319 Speaker 1: the heart and soul. Should it be the moderate middle, 171 00:11:15,400 --> 00:11:19,239 Speaker 1: should it be the party of Elizabeth Warren and Bernie Sanders. 172 00:11:19,559 --> 00:11:22,400 Speaker 1: Did the results of the mid terms give us any 173 00:11:22,440 --> 00:11:25,839 Speaker 1: insight into that? Yeah, it's an excellent question. I think 174 00:11:25,880 --> 00:11:30,360 Speaker 1: there are many Democrats hoping that there would be a 175 00:11:30,400 --> 00:11:33,880 Speaker 1: definitive answer to that, especially from places like Florida or 176 00:11:33,920 --> 00:11:38,960 Speaker 1: Georgia or Texas where Democrats were running not just as progressives, 177 00:11:39,000 --> 00:11:42,960 Speaker 1: but their message was we can win in these diverse 178 00:11:43,000 --> 00:11:48,640 Speaker 1: states by pumping up turnout among voters of color, younger 179 00:11:48,679 --> 00:11:51,840 Speaker 1: people who traditionally don't show up to vote in midterm elections. 180 00:11:52,400 --> 00:11:55,600 Speaker 1: And to do that, you know, we need candidates with 181 00:11:55,679 --> 00:11:58,520 Speaker 1: interesting stories and they need to be unapologetic and unafraid 182 00:11:58,600 --> 00:12:02,640 Speaker 1: to to run as progressives. Well, it looks like all 183 00:12:02,720 --> 00:12:05,920 Speaker 1: three of those candidates UM will have lost. And I 184 00:12:05,960 --> 00:12:08,800 Speaker 1: think there is going to be something of a pushback 185 00:12:09,000 --> 00:12:13,160 Speaker 1: among national Democrats to say, if that message isn't working 186 00:12:13,720 --> 00:12:18,000 Speaker 1: in Florida, a state that is a battleground in if 187 00:12:18,040 --> 00:12:21,880 Speaker 1: that isn't working in Georgia or Texas, to states that 188 00:12:22,360 --> 00:12:26,400 Speaker 1: Democrats have been saying now for years demographically are are 189 00:12:26,440 --> 00:12:30,360 Speaker 1: turning their direction, then it makes it really hard to 190 00:12:30,400 --> 00:12:33,560 Speaker 1: say that that's the right message up against Donald Trump. 191 00:12:35,200 --> 00:12:38,880 Speaker 1: At the same time, some of the most centrist candidates 192 00:12:39,240 --> 00:12:45,360 Speaker 1: lost in Indiana. Damn, you're sort of damned if you don't, right, 193 00:12:46,040 --> 00:12:49,760 Speaker 1: that's the centrist candidates lost in fairness in much more 194 00:12:49,800 --> 00:12:54,480 Speaker 1: difficult states, in states where Trump had like a approval rating, 195 00:12:54,559 --> 00:12:57,680 Speaker 1: where he won with a much larger margin, but in 196 00:12:57,720 --> 00:13:01,400 Speaker 1: the closer states that Trump won in two sixteen, but 197 00:13:01,520 --> 00:13:06,800 Speaker 1: the Democrats one on Tuesday in the Midwest, Michigan, Pennsylvania, 198 00:13:06,800 --> 00:13:09,360 Speaker 1: and Wisconsin, for example, the three states that made a 199 00:13:09,400 --> 00:13:14,680 Speaker 1: difference in the presidential race. Moderate Democrats or relatively center 200 00:13:14,760 --> 00:13:18,040 Speaker 1: left Democrats were the ones who were able to prevail, 201 00:13:18,080 --> 00:13:20,200 Speaker 1: and they were able to show the Democrats can still 202 00:13:20,240 --> 00:13:23,040 Speaker 1: win in those places, which I suppose was a little 203 00:13:23,040 --> 00:13:26,280 Speaker 1: bit in doubt before this. Yeah, and I think you know, 204 00:13:26,320 --> 00:13:29,400 Speaker 1: Tammy Baldwin is a great example of this senator from Wisconsin. 205 00:13:29,760 --> 00:13:32,560 Speaker 1: No one is going to call her a moderate. She 206 00:13:32,840 --> 00:13:35,040 Speaker 1: is one of the more liberal members of the United 207 00:13:35,080 --> 00:13:38,520 Speaker 1: States Senate. And yet there is and I hate this 208 00:13:38,559 --> 00:13:41,880 Speaker 1: word because it gets overused, but I'm going to use it. 209 00:13:41,960 --> 00:13:46,000 Speaker 1: Is there's an authenticity to Tammy Baldwin. People know exactly 210 00:13:46,000 --> 00:13:49,280 Speaker 1: who she is. Same with Shared Brown in Ohio. He's 211 00:13:49,320 --> 00:13:53,600 Speaker 1: sort of a populist liberal in Ohio, a state that 212 00:13:54,200 --> 00:13:57,080 Speaker 1: not only did Donald Trump carry, but Republicans carry the 213 00:13:57,080 --> 00:14:01,839 Speaker 1: governorship there. They have uniqueness to their state and an 214 00:14:01,840 --> 00:14:06,240 Speaker 1: attachment to their state that really sets them apart. Again, 215 00:14:06,280 --> 00:14:08,960 Speaker 1: not because of where they you know, it's it's they 216 00:14:08,960 --> 00:14:13,840 Speaker 1: didn't tack necessarily to the center ideologically, but personality wise. 217 00:14:14,360 --> 00:14:17,120 Speaker 1: And there the attention that they paid to the state 218 00:14:17,559 --> 00:14:21,800 Speaker 1: pays dividends and and so I think really, and Katie, 219 00:14:21,800 --> 00:14:24,440 Speaker 1: I've been thinking about this for a while that you know, 220 00:14:24,480 --> 00:14:29,360 Speaker 1: folks like me in Washington, for so many years we've 221 00:14:29,400 --> 00:14:36,240 Speaker 1: been looking at the presidential primary process on an ideological scale, right, Uh, 222 00:14:36,360 --> 00:14:38,520 Speaker 1: do you have the more left or the more right? Candid? 223 00:14:38,600 --> 00:14:41,440 Speaker 1: How conservative? How liberal? Um? Do you need to be? 224 00:14:41,600 --> 00:14:44,760 Speaker 1: I think normal people and so I'm not a normal 225 00:14:44,800 --> 00:14:49,040 Speaker 1: person I recognize as normal people. Primary voters are not 226 00:14:49,880 --> 00:14:52,960 Speaker 1: looking at these ideological scales and and sort of checking 227 00:14:53,000 --> 00:14:56,280 Speaker 1: off a list, right, Well, they've put on these six criteria. 228 00:14:56,400 --> 00:15:00,840 Speaker 1: They're looking for the personal attachment, the personal story, the 229 00:15:00,880 --> 00:15:03,320 Speaker 1: way that they feel that they can connect there. And 230 00:15:03,400 --> 00:15:05,920 Speaker 1: Donald Trump was a perfect example of that. He Uh, 231 00:15:06,240 --> 00:15:10,000 Speaker 1: he was not a straight down the line conservative Republican. 232 00:15:10,080 --> 00:15:15,520 Speaker 1: On so many issues he broke with Republican orthodoxy, but 233 00:15:15,680 --> 00:15:18,280 Speaker 1: there was an authenticity to him. And Bernie Sanders. I'm 234 00:15:18,320 --> 00:15:20,240 Speaker 1: sure you all heard it on the campaign trail too. 235 00:15:20,640 --> 00:15:23,920 Speaker 1: When I would talk to people who liked Bernie Sanders, 236 00:15:24,320 --> 00:15:27,760 Speaker 1: some of them were really conservative people, and they said, 237 00:15:28,360 --> 00:15:31,640 Speaker 1: I don't agree with anything that he says, but gosh, Dart, 238 00:15:31,840 --> 00:15:33,760 Speaker 1: I like that he stands up for it, he believes 239 00:15:33,760 --> 00:15:37,760 Speaker 1: in something. Well, that's such an anti establishment vote, whether 240 00:15:37,840 --> 00:15:40,840 Speaker 1: it's Bernie Sanders or Donald Trump. And I was having 241 00:15:40,920 --> 00:15:43,840 Speaker 1: breakfast with a friend of mine this morning, and she 242 00:15:44,000 --> 00:15:47,680 Speaker 1: was saying she thinks we're witnessing a massive realignment, not 243 00:15:47,880 --> 00:15:53,560 Speaker 1: from left to right, but more populist versus elitist, you know, more, 244 00:15:53,760 --> 00:15:57,240 Speaker 1: as Brian mentioned, sort of rural and ex ex urban 245 00:15:57,560 --> 00:16:03,320 Speaker 1: voters versus urban and suburban voters, and that we're more 246 00:16:03,360 --> 00:16:07,560 Speaker 1: divided on those lines, along those lines than ideological lines 247 00:16:07,640 --> 00:16:10,240 Speaker 1: per se. I agree with that, And a lot of 248 00:16:10,240 --> 00:16:13,880 Speaker 1: it is cultural, right, the sense that if I live 249 00:16:14,600 --> 00:16:18,480 Speaker 1: outside of a major metropolitan area, I have a whole 250 00:16:18,520 --> 00:16:25,160 Speaker 1: set of life experiences and viewpoints that people in the 251 00:16:25,240 --> 00:16:28,520 Speaker 1: suburbs and the cities don't appreciate and they don't understand. 252 00:16:28,800 --> 00:16:31,000 Speaker 1: And you go into the cities and the suburbin areas 253 00:16:31,000 --> 00:16:33,560 Speaker 1: and they look out at the rural areas and they say, 254 00:16:33,680 --> 00:16:36,600 Speaker 1: why don't you understand? This country is diversifying. This country 255 00:16:36,600 --> 00:16:39,240 Speaker 1: doesn't look like it did fifty years ago. It's not 256 00:16:39,320 --> 00:16:41,480 Speaker 1: going to look like that anymore. Stop trying to bring 257 00:16:41,560 --> 00:16:45,320 Speaker 1: us back there and that push and pull between you know, 258 00:16:45,360 --> 00:16:48,600 Speaker 1: the transformative right, here's where we're going in the future. 259 00:16:48,640 --> 00:16:52,440 Speaker 1: And the restorative Here's who this country is and we 260 00:16:52,520 --> 00:16:56,960 Speaker 1: want it to remain. Is that fight that is going 261 00:16:57,040 --> 00:17:00,000 Speaker 1: to be with us, certainly for the next four year, 262 00:17:00,160 --> 00:17:03,800 Speaker 1: isn't The real question is how much longer will this 263 00:17:04,359 --> 00:17:10,280 Speaker 1: tension be the central force in our politics. The one 264 00:17:10,320 --> 00:17:14,000 Speaker 1: ideological element I would add to this discussion, though, is 265 00:17:14,040 --> 00:17:17,560 Speaker 1: that the Democrats you mentioned in the Midwest didn't give 266 00:17:17,640 --> 00:17:21,520 Speaker 1: their Republican opponents an obvious line of attack by saying 267 00:17:21,560 --> 00:17:24,720 Speaker 1: they were going to abolish ice or b for impeachment, 268 00:17:25,200 --> 00:17:27,800 Speaker 1: or take some of the kind of harder edged positions 269 00:17:28,119 --> 00:17:30,280 Speaker 1: than a number of the more liberal Democrats and the 270 00:17:30,320 --> 00:17:34,840 Speaker 1: Sun Belt took, which their Republican opponents seemed to use 271 00:17:34,960 --> 00:17:39,159 Speaker 1: very effectively against. It's an interesting point, and look in 272 00:17:39,200 --> 00:17:43,840 Speaker 1: those suburban districts. What you found were Democrats who did 273 00:17:43,920 --> 00:17:46,679 Speaker 1: the following one. They stayed away not just from some 274 00:17:46,720 --> 00:17:50,880 Speaker 1: of the divisive issues like ice um, but they also 275 00:17:50,880 --> 00:17:54,720 Speaker 1: stayed away from impeachment. I didn't hear anything about Russia 276 00:17:55,280 --> 00:17:59,920 Speaker 1: or Mueller. In fact, the word Trump rarely came up 277 00:18:00,160 --> 00:18:03,199 Speaker 1: for many of these Democrats who won in these suburban districts. 278 00:18:03,240 --> 00:18:06,000 Speaker 1: They focused much more in healthcare. But I do think 279 00:18:06,080 --> 00:18:09,359 Speaker 1: that this is the ideological fight within the Democratic Party 280 00:18:09,400 --> 00:18:13,200 Speaker 1: to come on the issue of healthcare. Democrats made that 281 00:18:13,240 --> 00:18:17,080 Speaker 1: a centerpiece of their election this year, specifically looking to 282 00:18:18,080 --> 00:18:23,680 Speaker 1: Republicans and their votes in Congress to repeal Obamacare, the 283 00:18:24,320 --> 00:18:28,680 Speaker 1: decision by the Trump administration to continue to fight for 284 00:18:29,000 --> 00:18:33,400 Speaker 1: um in the courts to overturn the law, and you 285 00:18:33,440 --> 00:18:36,000 Speaker 1: saw sort of a split within the party and whether 286 00:18:36,040 --> 00:18:41,199 Speaker 1: they're in conservative districts more moderate districts about the question 287 00:18:41,240 --> 00:18:45,399 Speaker 1: of medicare for all and what that means for some voters. 288 00:18:45,880 --> 00:18:49,560 Speaker 1: I think they interpret it in one way. Other voters 289 00:18:49,560 --> 00:18:52,399 Speaker 1: interpreted another way. But at some point Democrats are going 290 00:18:52,440 --> 00:18:56,200 Speaker 1: to have to actually explain what Medicare for all does mean. 291 00:18:56,600 --> 00:18:59,440 Speaker 1: And what you saw in many of these competitive states 292 00:18:59,640 --> 00:19:04,280 Speaker 1: was at Republicans were ready to pounce on this issue 293 00:19:04,520 --> 00:19:10,840 Speaker 1: by labeling Democrats as socialists, right, they want socialized medicine. 294 00:19:11,040 --> 00:19:14,120 Speaker 1: They're going to take away your access to your doctors. 295 00:19:14,280 --> 00:19:17,560 Speaker 1: It's going to be trillions of dollars of taxes. And 296 00:19:17,800 --> 00:19:21,320 Speaker 1: I think in many cases those attacks didn't work, in 297 00:19:21,359 --> 00:19:24,280 Speaker 1: part because people don't quite understand what this whole Medicare 298 00:19:24,320 --> 00:19:27,440 Speaker 1: for All thing is about. But they did very clearly 299 00:19:27,560 --> 00:19:31,320 Speaker 1: understand what the pre existing condition fight was about, what 300 00:19:31,440 --> 00:19:33,920 Speaker 1: drug cost fight was about. That's a day to day 301 00:19:33,960 --> 00:19:38,000 Speaker 1: concern for them. But I think come this debate over 302 00:19:38,600 --> 00:19:42,840 Speaker 1: expanding healthcare to include this Medicare for all or single 303 00:19:42,880 --> 00:19:47,840 Speaker 1: payer versus the President wanting to repeal Obamacare and what 304 00:19:47,880 --> 00:19:50,399 Speaker 1: would be in its place is going to be a 305 00:19:50,440 --> 00:19:54,560 Speaker 1: central argument. We asked some people to call in with 306 00:19:54,640 --> 00:19:59,280 Speaker 1: their questions concerns, and we have a few people who 307 00:19:59,320 --> 00:20:02,120 Speaker 1: are nice enough to do just that. So we don't 308 00:20:02,119 --> 00:20:05,040 Speaker 1: want to keep them on hold indefinitely. And Amy, I 309 00:20:05,080 --> 00:20:09,119 Speaker 1: know they benefit from your insight UH as well. So 310 00:20:09,480 --> 00:20:12,400 Speaker 1: let's go to Julie from Kansas, who has a question. 311 00:20:12,720 --> 00:20:16,040 Speaker 1: Julie High, how are you? Hi? Katie? Hi, Brian, thank 312 00:20:16,080 --> 00:20:18,919 Speaker 1: you so much for having me all. You're welcome. Thanks, 313 00:20:19,480 --> 00:20:23,080 Speaker 1: what's your question? I'm some campus and UM. I was 314 00:20:23,400 --> 00:20:25,920 Speaker 1: so heartened and so excited last night that we did 315 00:20:25,960 --> 00:20:29,959 Speaker 1: not elect Chris Kobach to be UM our next governor. 316 00:20:30,000 --> 00:20:32,880 Speaker 1: We actually went Democratic with Laura Kelly and we had 317 00:20:32,880 --> 00:20:36,399 Speaker 1: one other district UM where we elected Sharis David's for 318 00:20:36,520 --> 00:20:39,879 Speaker 1: the House UM. But this morning, as I really started 319 00:20:39,920 --> 00:20:42,760 Speaker 1: to think about it, I started feeling more like these 320 00:20:42,880 --> 00:20:46,280 Speaker 1: were exceptions. These were two people that were absolutely horrible 321 00:20:46,320 --> 00:20:50,720 Speaker 1: candidates and they went Democrat because the Republican option was 322 00:20:50,840 --> 00:20:56,080 Speaker 1: so incredibly awful. I'm curious what your take is on 323 00:20:56,560 --> 00:20:58,840 Speaker 1: what this means of the country with a with a 324 00:20:58,920 --> 00:21:01,959 Speaker 1: red state going Democratic in a couple of different areas. 325 00:21:01,960 --> 00:21:03,719 Speaker 1: I don't think this is a blue wave for US. 326 00:21:03,760 --> 00:21:06,520 Speaker 1: I think that these are small exceptions. Amy, what would 327 00:21:06,520 --> 00:21:09,159 Speaker 1: you say, Yeah, it's a really good point because Democrats 328 00:21:09,160 --> 00:21:13,000 Speaker 1: were hoping that they could have similar success in other 329 00:21:13,200 --> 00:21:16,960 Speaker 1: red state governorships where he had an unpopular governor in 330 00:21:17,320 --> 00:21:20,160 Speaker 1: the case of Oklahoma, just like Kansas that was retiring. 331 00:21:20,440 --> 00:21:23,119 Speaker 1: Oklahoma and Mary Fallon, who left office I think was 332 00:21:23,200 --> 00:21:27,240 Speaker 1: something like a fifteen point favorable rating um in that state, 333 00:21:27,720 --> 00:21:31,960 Speaker 1: and uh, the race got very close, but ultimately Republicans 334 00:21:32,000 --> 00:21:34,880 Speaker 1: prevailed in Oklahoma. South Dakota another place that has had 335 00:21:35,200 --> 00:21:38,359 Speaker 1: Republican governors for quite some time, but Democrats had a 336 00:21:38,520 --> 00:21:44,440 Speaker 1: really appealing candidate in a former rodeo writer um who 337 00:21:44,560 --> 00:21:48,600 Speaker 1: had been paralyzed in a rodeo accident, who kept that 338 00:21:48,680 --> 00:21:54,159 Speaker 1: race very competitive. Ultimately that race tipped to the Republicans. 339 00:21:54,160 --> 00:21:57,000 Speaker 1: And Iowa, another state where Republicans have bit a charge 340 00:21:57,040 --> 00:22:00,080 Speaker 1: for a long long time. They kept the governorship in 341 00:22:00,160 --> 00:22:03,359 Speaker 1: that state. And so Kansas really of of of the 342 00:22:03,400 --> 00:22:08,080 Speaker 1: red states where Democrats saw an opening. They had good candidates, 343 00:22:08,400 --> 00:22:12,520 Speaker 1: they had unpopular governors, or at least maybe a cent 344 00:22:12,600 --> 00:22:14,439 Speaker 1: from voters in that state that it was time to 345 00:22:14,880 --> 00:22:16,960 Speaker 1: do something new, you know, they they could turn a 346 00:22:16,960 --> 00:22:23,800 Speaker 1: new leaf, try out another party. Only Kansas really delivered 347 00:22:24,119 --> 00:22:29,240 Speaker 1: on that promise. Wisconsin was a big win for Democrats. 348 00:22:29,240 --> 00:22:31,200 Speaker 1: You know, they've been trying now this is a fourth election, 349 00:22:31,200 --> 00:22:34,760 Speaker 1: they've been trying to unseat Scott Walker. But that's not 350 00:22:34,920 --> 00:22:38,160 Speaker 1: really a red state. So of the of the dark 351 00:22:38,200 --> 00:22:41,880 Speaker 1: red states, Kansas does definitely stick out. Julie from Kansas, 352 00:22:41,920 --> 00:22:45,600 Speaker 1: Thank you for calling. Julie, Thank you. Okay, we've got 353 00:22:45,920 --> 00:22:49,880 Speaker 1: Jonathan from Texas. Uh, thanks for calling in and what's 354 00:22:49,880 --> 00:22:53,280 Speaker 1: your question? Hi gaty Hi, Hi Brian. It's so great 355 00:22:53,280 --> 00:22:57,000 Speaker 1: to be speaking with you guys. Um. So my question 356 00:22:57,080 --> 00:23:02,119 Speaker 1: is um. I'm a um the border. I'm a second 357 00:23:02,119 --> 00:23:06,080 Speaker 1: generation Texan born and raised on the border. From the radio. UH. 358 00:23:06,119 --> 00:23:09,160 Speaker 1: Immigration has always locally been talked about as a positive thing, 359 00:23:09,440 --> 00:23:12,639 Speaker 1: and betso as someone from the border El Paso, I 360 00:23:12,680 --> 00:23:16,359 Speaker 1: believe understood in articulate this issue better than anyone I've seen, 361 00:23:17,040 --> 00:23:19,080 Speaker 1: and so after looking at the margins in the race 362 00:23:19,200 --> 00:23:21,520 Speaker 1: last night, it looks like a lot of other Texans 363 00:23:21,560 --> 00:23:24,640 Speaker 1: agreed to even though it wasn't obviously enough to get 364 00:23:24,720 --> 00:23:28,160 Speaker 1: him across the finish line. But are there any lessons 365 00:23:28,200 --> 00:23:32,120 Speaker 1: that national Democrats can be learning from how Betso talked 366 00:23:32,119 --> 00:23:36,760 Speaker 1: about immigration and any lessons that can be applied nationwide 367 00:23:36,800 --> 00:23:40,320 Speaker 1: for um the elections in the future. I'm really interested 368 00:23:40,359 --> 00:23:42,920 Speaker 1: in this, Jonathan too, And I'd love to hear Amy 369 00:23:42,960 --> 00:23:46,119 Speaker 1: and Briant's take on this, because obviously the cornerstone of 370 00:23:46,160 --> 00:23:50,520 Speaker 1: President Trump's last ditch efforts to do well in these 371 00:23:50,600 --> 00:23:54,560 Speaker 1: mid terms was to talk about the caravan pretty much 372 00:23:55,359 --> 00:24:00,960 Speaker 1: seven and two Stoke, I think some fear about immigrants 373 00:24:01,240 --> 00:24:05,080 Speaker 1: and the people who were escaping poverty and violence in 374 00:24:05,240 --> 00:24:08,960 Speaker 1: Central America through Mexico. So um, and I was pretty 375 00:24:09,000 --> 00:24:13,160 Speaker 1: surprised how well Betto did. Um. I guess I had 376 00:24:13,200 --> 00:24:19,640 Speaker 1: read some premature obituaries about him prior to election day. 377 00:24:19,680 --> 00:24:23,760 Speaker 1: But but what about the way that immigration is being portrayed? 378 00:24:23,800 --> 00:24:27,600 Speaker 1: Does this, you know, go right along party lines? Brian 379 00:24:27,600 --> 00:24:31,080 Speaker 1: and Amy? And what lessons can national candidates learned from this. 380 00:24:32,000 --> 00:24:33,960 Speaker 1: I mean, I just view that as such an interesting 381 00:24:34,080 --> 00:24:39,680 Speaker 1: race because Cruz was about as narrow a red candidate 382 00:24:39,840 --> 00:24:43,639 Speaker 1: as Texas has produced for a major statewide office in 383 00:24:43,680 --> 00:24:47,960 Speaker 1: a while. Um, and Texas is still just Republican enough 384 00:24:48,480 --> 00:24:52,200 Speaker 1: that by consolidating the people who like what Trump's doing, 385 00:24:52,359 --> 00:24:55,800 Speaker 1: who identify as conservatives, he was able kind of just 386 00:24:55,920 --> 00:24:59,520 Speaker 1: to get over the line. Um what Betto did. That's 387 00:24:59,720 --> 00:25:03,000 Speaker 1: differ weren't than you know, any Texas Democrat pretty much 388 00:25:03,040 --> 00:25:05,879 Speaker 1: for the last twenty years. Is he was able to 389 00:25:05,920 --> 00:25:09,880 Speaker 1: take a lot of moderate suburban voters in places outside 390 00:25:09,920 --> 00:25:14,800 Speaker 1: Dallas and Houston and convinced them that he's bigger and 391 00:25:14,960 --> 00:25:18,159 Speaker 1: maybe a little bit different than a typical national Democrat. 392 00:25:18,680 --> 00:25:21,720 Speaker 1: And even though he was pretty liberal per Amy's point 393 00:25:21,760 --> 00:25:25,600 Speaker 1: about authenticity, people liked him. And a lot of those 394 00:25:25,600 --> 00:25:28,040 Speaker 1: people just didn't like Ted Cruz. They thought he had 395 00:25:28,080 --> 00:25:30,400 Speaker 1: taken his eye off the ball by running for president, 396 00:25:30,480 --> 00:25:34,199 Speaker 1: spending more time in Iowa than in Texas. So, you know, 397 00:25:34,280 --> 00:25:36,399 Speaker 1: he was able to come close, but I think some 398 00:25:36,480 --> 00:25:42,000 Speaker 1: of the ideological positions that he took probably resulted in 399 00:25:42,080 --> 00:25:45,080 Speaker 1: him being you know, just short in the end. And 400 00:25:45,359 --> 00:25:48,199 Speaker 1: before Jonathan goes Jonathan, what do you hope is in 401 00:25:48,320 --> 00:25:51,800 Speaker 1: Bettos future? Do you think that you know, he got 402 00:25:51,840 --> 00:25:56,960 Speaker 1: a huge influx of money from National Democrats. Uh, he 403 00:25:57,600 --> 00:26:00,399 Speaker 1: was sort of the it guy of these mid terms 404 00:26:00,400 --> 00:26:03,760 Speaker 1: in many ways. What do you think is in his future? Well? 405 00:26:03,800 --> 00:26:08,280 Speaker 1: As as someone that's that's so inspired by watching the 406 00:26:08,359 --> 00:26:12,320 Speaker 1: type of effect that he's had on grassroots organizing in 407 00:26:12,359 --> 00:26:16,760 Speaker 1: the state. UM, I think that his ability to inspire 408 00:26:16,840 --> 00:26:20,960 Speaker 1: people to act and to get moving is really really 409 00:26:21,000 --> 00:26:23,639 Speaker 1: inspiring for the future of Texas. I'd very much like 410 00:26:23,720 --> 00:26:26,080 Speaker 1: to see him run his race because I think he 411 00:26:26,200 --> 00:26:29,560 Speaker 1: still has a race and a message that he's still 412 00:26:29,560 --> 00:26:32,760 Speaker 1: ready to share with the rest of America. Well, Jonathan, 413 00:26:32,800 --> 00:26:35,119 Speaker 1: thanks so much for calling in. It's really nice to 414 00:26:35,160 --> 00:26:37,679 Speaker 1: talk to you, and thanks for listening to the podcast. 415 00:26:38,119 --> 00:26:40,080 Speaker 1: Thanks for having me. I appreciate that we're going to 416 00:26:40,200 --> 00:26:44,840 Speaker 1: talk now to Bailey from Nevada, not Nevada. From Nevada 417 00:26:45,000 --> 00:26:47,840 Speaker 1: is on the on the line. Bailey, Hi, thanks so 418 00:26:47,920 --> 00:26:51,000 Speaker 1: much for calling in and welcome to our podcast. Hi, 419 00:26:51,200 --> 00:26:54,119 Speaker 1: how are you good? Good, nice to hear your voice. 420 00:26:54,440 --> 00:26:57,960 Speaker 1: What is your question or concern? Um? Well, I was 421 00:26:58,000 --> 00:27:02,520 Speaker 1: wondering your take, so in Nevada we've had a blue 422 00:27:02,560 --> 00:27:08,200 Speaker 1: wave now twice in both sen UM. We almost had 423 00:27:08,240 --> 00:27:10,960 Speaker 1: a we might have a super majority in our legislature 424 00:27:11,000 --> 00:27:14,000 Speaker 1: as of twenty nine vote, so we'll find out. But 425 00:27:14,960 --> 00:27:18,679 Speaker 1: I'm wondering why what you think is different about Nevada 426 00:27:18,720 --> 00:27:21,399 Speaker 1: where we've had the blue wave that we've kind of 427 00:27:21,440 --> 00:27:25,480 Speaker 1: expected nationally as a repuation of Trump politics, and other 428 00:27:25,520 --> 00:27:28,360 Speaker 1: states haven't. Well, you know, Brian is probably a good 429 00:27:28,359 --> 00:27:31,600 Speaker 1: person to answer that question because his mom is Hailes 430 00:27:31,720 --> 00:27:36,080 Speaker 1: from Las Vegas originally. And Brian, you spent a lot 431 00:27:36,119 --> 00:27:38,200 Speaker 1: of time in Nevada, and Amy, I'm sure you could 432 00:27:38,240 --> 00:27:40,200 Speaker 1: weigh in, and I'm just going to keep quiet and 433 00:27:40,240 --> 00:27:44,159 Speaker 1: listen to you both. Yeah, I claim status as an 434 00:27:44,160 --> 00:27:48,000 Speaker 1: honorary Nevada and UM. Well, the big difference in Nevada 435 00:27:48,160 --> 00:27:51,760 Speaker 1: that has really transformed the state's politics in the last 436 00:27:51,840 --> 00:27:57,280 Speaker 1: few cycles is the diversifying electorate, particularly in Clark County, 437 00:27:57,359 --> 00:28:01,520 Speaker 1: which is Las Vegas, also in Reno UM, and we've 438 00:28:01,520 --> 00:28:05,199 Speaker 1: seen a surge of Latino voters and also urban and 439 00:28:05,280 --> 00:28:07,800 Speaker 1: suburban voters who are just voting a heck of a 440 00:28:07,800 --> 00:28:11,879 Speaker 1: lot more democratic than they used to. It's also a 441 00:28:11,920 --> 00:28:16,359 Speaker 1: state where Trump lost UM in two sen where his 442 00:28:16,400 --> 00:28:20,199 Speaker 1: approval rating isn't great, and the approval rating of the 443 00:28:20,200 --> 00:28:23,639 Speaker 1: president has been a pretty good predictor of elections all 444 00:28:23,680 --> 00:28:26,800 Speaker 1: over the country. The fascinating thing to me about Nevada 445 00:28:26,840 --> 00:28:29,600 Speaker 1: is it it is different from some of these other 446 00:28:29,880 --> 00:28:33,600 Speaker 1: Western states. All the Western states are unique. They're all beautiful. 447 00:28:33,680 --> 00:28:35,680 Speaker 1: I wish I could live in one of them. Um. 448 00:28:36,119 --> 00:28:40,120 Speaker 1: But uh, but you know, Colorado looks very different than 449 00:28:40,240 --> 00:28:44,280 Speaker 1: many of its neighbors, not just because it um, it 450 00:28:44,360 --> 00:28:48,160 Speaker 1: has a more diverse population, especially Latino and African American, 451 00:28:48,520 --> 00:28:51,520 Speaker 1: but also it has had, especially in the last ten 452 00:28:51,720 --> 00:28:57,920 Speaker 1: fifteen years, a huge influx of college educated, UM, white voters. 453 00:28:58,240 --> 00:29:00,400 Speaker 1: You have a whole bunch of tech companies moving into 454 00:29:00,440 --> 00:29:04,520 Speaker 1: Colorado sort of a you know, a whole bunch of 455 00:29:04,560 --> 00:29:09,000 Speaker 1: folks from other states moving to Colorado, especially young people 456 00:29:09,080 --> 00:29:13,680 Speaker 1: into the Denver area, and that's really transformed Colorado from 457 00:29:13,720 --> 00:29:17,440 Speaker 1: being a swing state or red leaning state to one 458 00:29:17,560 --> 00:29:21,000 Speaker 1: that is more purple. Nevada, on the other hand, is 459 00:29:21,160 --> 00:29:25,280 Speaker 1: one where you do have again huge influx of population, 460 00:29:25,720 --> 00:29:29,480 Speaker 1: but it's not um the same kind of voters. UM. 461 00:29:29,720 --> 00:29:34,000 Speaker 1: You have a higher proportion of white, non college educated 462 00:29:34,120 --> 00:29:37,440 Speaker 1: voters in Nevada, they make up a really significant base 463 00:29:37,520 --> 00:29:43,000 Speaker 1: of vote. What keeps Nevada from being a Republican quite frankly, 464 00:29:43,040 --> 00:29:46,800 Speaker 1: are the Latino vote and the ability that Democrats have 465 00:29:47,480 --> 00:29:50,960 Speaker 1: to really energize and turn out and organize and turn 466 00:29:51,080 --> 00:29:54,280 Speaker 1: that vote out. And that is really a vestige of 467 00:29:54,600 --> 00:29:58,440 Speaker 1: former Senator, former Majority Leader Harry Reid, who put that 468 00:29:58,560 --> 00:30:02,800 Speaker 1: infrastructure in play. You know, Nevada if it looks much 469 00:30:02,840 --> 00:30:06,520 Speaker 1: more like more of a working class blue color state 470 00:30:07,120 --> 00:30:11,520 Speaker 1: than a state like Colorado. Bailey, I'm just curious. You 471 00:30:11,560 --> 00:30:16,240 Speaker 1: sound a little young, am I am? I right about that? Okay, 472 00:30:16,280 --> 00:30:22,160 Speaker 1: well then you're young. So I'm just curious if you 473 00:30:22,200 --> 00:30:25,120 Speaker 1: don't mind my asking, um how you voted, and if 474 00:30:25,160 --> 00:30:27,280 Speaker 1: you don't want to tell us, that's fine too, But 475 00:30:27,360 --> 00:30:30,240 Speaker 1: how you voted and how you're feeling about the results 476 00:30:30,240 --> 00:30:33,720 Speaker 1: of the mid terms. Um, yeah, I voted blue. I 477 00:30:34,120 --> 00:30:38,200 Speaker 1: typically always do, although I think prior to Trump's I 478 00:30:38,200 --> 00:30:40,680 Speaker 1: would have done Nevada as a state where we do 479 00:30:40,840 --> 00:30:43,800 Speaker 1: tend to vote Nevada first. I think a lot of 480 00:30:43,840 --> 00:30:48,120 Speaker 1: Democrats would have loved a third term from our Republican 481 00:30:48,160 --> 00:30:51,960 Speaker 1: governor that is leaving. So I did vote blue, and 482 00:30:52,000 --> 00:30:54,800 Speaker 1: I am excited about that, and I the only question 483 00:30:54,840 --> 00:30:58,480 Speaker 1: I had as a response was the Harry Reid machine 484 00:30:58,560 --> 00:31:03,120 Speaker 1: that you alluded to, we really credited as a culinary union. 485 00:31:03,200 --> 00:31:06,080 Speaker 1: So I'm wondering what you got from other unions. Yeah, states, 486 00:31:06,080 --> 00:31:08,920 Speaker 1: did they go blue or read last night? Because both 487 00:31:08,920 --> 00:31:11,120 Speaker 1: of our swings, I think we can credit to the 488 00:31:11,120 --> 00:31:15,240 Speaker 1: culinary unions or the unions just not as powerful. And yeah, 489 00:31:14,400 --> 00:31:18,680 Speaker 1: that's a that's a really excellent point. I'm glad that 490 00:31:18,760 --> 00:31:22,600 Speaker 1: you brought that up. And Um, in other states, you're 491 00:31:22,680 --> 00:31:27,280 Speaker 1: right where labor has especially states that where Republicans have 492 00:31:27,320 --> 00:31:32,120 Speaker 1: been in charge, labor unions UM have been undercut by 493 00:31:32,240 --> 00:31:35,960 Speaker 1: some of the legislation that has been passed in those states, 494 00:31:36,280 --> 00:31:39,440 Speaker 1: places like Wisconsin, for example. I think Michigan is one 495 00:31:39,440 --> 00:31:43,280 Speaker 1: place where labor remains a very potent force. But you're right, 496 00:31:43,440 --> 00:31:47,600 Speaker 1: it is Nevada that has some of the best organizing 497 00:31:48,120 --> 00:31:51,600 Speaker 1: And it wasn't that unique twenty years ago to have 498 00:31:52,160 --> 00:31:54,360 Speaker 1: this strong of a labor presence being able to quote 499 00:31:54,440 --> 00:31:58,680 Speaker 1: unquote deliver a state. Um, that's how Pennsylvania and Michigan 500 00:31:59,040 --> 00:32:03,240 Speaker 1: and Ohio worked for years. But in Wisconsin, but that's 501 00:32:03,360 --> 00:32:07,120 Speaker 1: no longer, that's no longer the case. Bailey, thank you 502 00:32:07,200 --> 00:32:09,840 Speaker 1: so much for calling. Really appreciate it, and thanks for 503 00:32:09,920 --> 00:32:13,680 Speaker 1: listening to the podcast. It was fun talking to you. Yeah, 504 00:32:13,760 --> 00:32:18,320 Speaker 1: thank you, Amy. Thank you so much for spending some 505 00:32:18,400 --> 00:32:22,720 Speaker 1: time with us hashing this all out. It's complicated, as 506 00:32:22,720 --> 00:32:26,640 Speaker 1: you said, I think further complicated by no simple narrative 507 00:32:26,760 --> 00:32:30,240 Speaker 1: and no kind of clear cut takeaway, sort of all 508 00:32:30,320 --> 00:32:34,840 Speaker 1: over the map, but we always appreciate your perspective and insight. 509 00:32:34,920 --> 00:32:36,680 Speaker 1: Thanks so much for doing this Aime. There's a ton 510 00:32:36,680 --> 00:32:40,240 Speaker 1: of fun. Thanks so much, Brian. I loved hearing from 511 00:32:40,240 --> 00:32:42,880 Speaker 1: all those listeners, and I want to thank them again 512 00:32:42,960 --> 00:32:44,920 Speaker 1: for calling in. That was a lot of fun and 513 00:32:44,920 --> 00:32:47,720 Speaker 1: we really do appreciate their time. Yeah, I do too, 514 00:32:47,760 --> 00:32:50,520 Speaker 1: And remember you can always call in with your questions 515 00:32:50,560 --> 00:32:53,000 Speaker 1: and comments on the show. Our number is nine to nine, 516 00:32:53,040 --> 00:32:56,239 Speaker 1: two to four, four, six, three seven. Now we're going 517 00:32:56,280 --> 00:32:59,240 Speaker 1: to take a quick break and coming up presidential historian 518 00:32:59,320 --> 00:33:07,920 Speaker 1: Doug Brink that's right after this. Now let's get back 519 00:33:07,960 --> 00:33:12,120 Speaker 1: to the show, Brian. As you know Harry Truman what said, 520 00:33:12,120 --> 00:33:14,600 Speaker 1: there's nothing new in the world except the history you 521 00:33:14,680 --> 00:33:17,960 Speaker 1: do not know, So we thought it would be helpful 522 00:33:18,080 --> 00:33:22,120 Speaker 1: and instructive to help us better understand recent events by 523 00:33:22,160 --> 00:33:25,120 Speaker 1: talking about the past. And who better to do that 524 00:33:25,160 --> 00:33:28,960 Speaker 1: with us than Doug Brinkley. Doug is a history professor 525 00:33:29,160 --> 00:33:33,080 Speaker 1: at Rice University. He's written several books about presidents from 526 00:33:33,200 --> 00:33:36,320 Speaker 1: FDR to Gerald Ford. Happens to be an incredibly nice 527 00:33:36,360 --> 00:33:38,800 Speaker 1: guy as well, and when I was anchoring the CBS 528 00:33:38,880 --> 00:33:42,640 Speaker 1: Evening News, I brought him in as our resident historians. 529 00:33:42,720 --> 00:33:46,400 Speaker 1: So we go way back, Brian, and that's where I 530 00:33:46,440 --> 00:33:49,520 Speaker 1: first met Doug. He's a great guy. So here he 531 00:33:49,680 --> 00:33:52,800 Speaker 1: is with his take on what happened on the first 532 00:33:52,840 --> 00:33:58,080 Speaker 1: Tuesday in November. Doug Brinkley, thanks so much for joining 533 00:33:58,080 --> 00:34:01,720 Speaker 1: the podcast. We're super excited to have you. Well, thank you, Katie. 534 00:34:02,200 --> 00:34:04,920 Speaker 1: So surprise, surprise, We're gonna look at the mid terms 535 00:34:04,960 --> 00:34:09,640 Speaker 1: from a historical perspective with you. Um. On average, since 536 00:34:09,680 --> 00:34:13,239 Speaker 1: World War Two, presidents lose twenty five seats in their 537 00:34:13,239 --> 00:34:18,040 Speaker 1: first mid term in the House. Obviously, President Trump performed 538 00:34:18,400 --> 00:34:21,560 Speaker 1: worse than that, and at a time with a booming 539 00:34:21,600 --> 00:34:25,319 Speaker 1: economy that sixty percent of voters say is good. So 540 00:34:25,800 --> 00:34:30,520 Speaker 1: how do you explain the Republican losses at a time 541 00:34:30,600 --> 00:34:33,920 Speaker 1: when the economy seems to be doing really, well, well, 542 00:34:33,920 --> 00:34:37,040 Speaker 1: it's a great question. Um. You know, Donald Trump isn't 543 00:34:37,080 --> 00:34:42,040 Speaker 1: just a Republican president. He is a movement person, a 544 00:34:42,200 --> 00:34:46,480 Speaker 1: right wing movement figure, and because of that, he's had 545 00:34:46,520 --> 00:34:50,000 Speaker 1: a limited box office appeal. It's been very hard for 546 00:34:50,080 --> 00:34:56,160 Speaker 1: President Trump to get anywhere around in public popularity. He's 547 00:34:56,239 --> 00:35:01,760 Speaker 1: usually around forty four percent. That's low. So he only 548 00:35:01,960 --> 00:35:07,520 Speaker 1: he has a freneticum appeal to um a certain segment 549 00:35:07,560 --> 00:35:09,600 Speaker 1: of the American public, but he doesn't seem to be 550 00:35:09,640 --> 00:35:12,840 Speaker 1: able to grow his box office any and hence some 551 00:35:13,320 --> 00:35:17,760 Speaker 1: urban areas in particular seem to be disgusted with President 552 00:35:17,800 --> 00:35:21,800 Speaker 1: Trump's leadership. If you really just mapped this midterm election, 553 00:35:21,920 --> 00:35:26,160 Speaker 1: looked at cities and suburbs, you will see that they 554 00:35:26,200 --> 00:35:31,239 Speaker 1: they're not buying into the Republican program, but rural America 555 00:35:31,360 --> 00:35:34,879 Speaker 1: is in love with President Trump. It's interesting. James Carville says, 556 00:35:34,920 --> 00:35:37,960 Speaker 1: it's the economy stupid, but the economy will only take 557 00:35:38,040 --> 00:35:42,920 Speaker 1: a leader so far. Doug, exactly, Katie. I mean, the 558 00:35:42,960 --> 00:35:46,160 Speaker 1: economy is important. In fact, some people are are saying 559 00:35:46,200 --> 00:35:49,920 Speaker 1: Donald Trump should have just run on Kavanaugh and the economy, 560 00:35:50,360 --> 00:35:54,200 Speaker 1: not Kavanaugh. In the caravan that may have been a mistake. 561 00:35:54,360 --> 00:35:57,640 Speaker 1: Hindsight's easy and will never know. It's not an empirical 562 00:35:58,400 --> 00:36:02,200 Speaker 1: fact we can make. But it's teams that President Trump 563 00:36:02,680 --> 00:36:05,960 Speaker 1: made a mistake. Not just sticking with his economic message. 564 00:36:06,280 --> 00:36:08,560 Speaker 1: He thought he had to fire up his base on 565 00:36:08,600 --> 00:36:13,280 Speaker 1: this caraman of Hondurans, you know, marching towards our border. 566 00:36:13,719 --> 00:36:17,000 Speaker 1: He did put out a racist ad that even Fox 567 00:36:17,080 --> 00:36:20,000 Speaker 1: News how to take down. But how do you know 568 00:36:20,080 --> 00:36:23,600 Speaker 1: that didn't work, Doug, How do you know that didn't work? Well? 569 00:36:23,640 --> 00:36:26,360 Speaker 1: It didn't work because he lost congress Um and it 570 00:36:26,480 --> 00:36:29,000 Speaker 1: did it help him pick up a Senate seat or 571 00:36:29,000 --> 00:36:33,760 Speaker 1: two perhaps, but the Senate math was pretty much in place. 572 00:36:33,800 --> 00:36:36,920 Speaker 1: So what he did was discussed a lot of young people, 573 00:36:37,640 --> 00:36:41,200 Speaker 1: and you're seeing the numbers of young voters coming in. 574 00:36:41,320 --> 00:36:45,760 Speaker 1: I'm here katiean in at Rice University in in Houston, Texas, 575 00:36:45,760 --> 00:36:49,160 Speaker 1: and it was bet Omnia in the state of Texas. 576 00:36:49,200 --> 00:36:53,120 Speaker 1: Now he lost, but their Democrats are making picked up 577 00:36:53,160 --> 00:36:57,839 Speaker 1: congressional seats in in Texas. Trumpians like Will Heard, who 578 00:36:57,840 --> 00:37:02,680 Speaker 1: were like should have never lost lost in Texas because 579 00:37:02,760 --> 00:37:06,560 Speaker 1: people don't like particularly people at universities of America don't 580 00:37:06,680 --> 00:37:09,480 Speaker 1: like the idea of the wall, and particularly don't like 581 00:37:09,760 --> 00:37:14,800 Speaker 1: racist infused rhetoric that we've heard too often from the president. Doug, 582 00:37:14,880 --> 00:37:18,800 Speaker 1: I can't think of an American president in recent history 583 00:37:18,840 --> 00:37:23,080 Speaker 1: with so narrow an appeal who sort of never seems 584 00:37:23,120 --> 00:37:27,640 Speaker 1: to get beyond Am I missing someone? No, I mean 585 00:37:27,680 --> 00:37:30,600 Speaker 1: we've had presidents that have done badly in polling. I 586 00:37:30,640 --> 00:37:34,440 Speaker 1: mean Harry Truman was particular moments, of course, Yeah, at 587 00:37:34,440 --> 00:37:37,760 Speaker 1: particular moments, Harry Truman was at like twenty seven percent. 588 00:37:38,400 --> 00:37:41,279 Speaker 1: But um in in of course, he's now considered one 589 00:37:41,320 --> 00:37:44,440 Speaker 1: of our great American presidents. So it means Donald Trump 590 00:37:44,560 --> 00:37:47,879 Speaker 1: can do something about his predicament. But he would have 591 00:37:47,960 --> 00:37:51,600 Speaker 1: to pivot to get above that forty four. It's frozen 592 00:37:51,640 --> 00:37:54,160 Speaker 1: with the economy this well, and we haven't engaged in 593 00:37:54,160 --> 00:37:58,040 Speaker 1: a major new war, and he's frozen at forty four. 594 00:37:58,320 --> 00:38:00,560 Speaker 1: To get up to fifty, he would have to do 595 00:38:00,600 --> 00:38:04,000 Speaker 1: a bipartisan deal. This sort of what's almost become a 596 00:38:04,040 --> 00:38:06,440 Speaker 1: mythical idea in the last two years of Democrats and 597 00:38:06,440 --> 00:38:10,320 Speaker 1: Republicans doing something big on infrastructure would have to happen. 598 00:38:10,800 --> 00:38:13,920 Speaker 1: You know, Jack Kennedy one in nineteen sixty by just 599 00:38:14,000 --> 00:38:17,440 Speaker 1: a margin over Richard Nixon and Kennedy decided I'm going 600 00:38:17,480 --> 00:38:20,040 Speaker 1: to unite the people, and he he adopted let's go 601 00:38:20,120 --> 00:38:22,399 Speaker 1: to the moon. By the end of the decade, made 602 00:38:22,440 --> 00:38:25,479 Speaker 1: technology big and even brought a lot of so called 603 00:38:25,520 --> 00:38:30,120 Speaker 1: pork dollars to place states like Texas and Mississippi, Florida. 604 00:38:30,520 --> 00:38:32,960 Speaker 1: And so in the end, m Trump needs to find 605 00:38:33,040 --> 00:38:37,200 Speaker 1: something that brings in some Democrats and independence, not just 606 00:38:37,320 --> 00:38:40,400 Speaker 1: be a base politician. And I should know this, but 607 00:38:40,520 --> 00:38:44,520 Speaker 1: what happened to Kennedy in the mid terms, Well, you know, 608 00:38:44,640 --> 00:38:48,160 Speaker 1: Kennedy in nineteen sixty two was able to maintain at 609 00:38:48,160 --> 00:38:51,800 Speaker 1: a sixty two approval rating in sixty two somewhere around 610 00:38:51,800 --> 00:38:55,319 Speaker 1: that in the sixties and was able to hold on um. 611 00:38:55,520 --> 00:38:58,359 Speaker 1: They lost a few Senate seats Democrats, but they're able 612 00:38:58,400 --> 00:39:01,680 Speaker 1: to keep control of of the House and Senate. So 613 00:39:01,800 --> 00:39:04,400 Speaker 1: there's an example of a mid term where Jack Kennedy 614 00:39:04,520 --> 00:39:07,320 Speaker 1: united the country. That would have been what Trump should 615 00:39:07,320 --> 00:39:10,759 Speaker 1: have tried for. Instead, he did his own math and 616 00:39:10,800 --> 00:39:13,600 Speaker 1: realized that he wants to be seen as the savior 617 00:39:13,680 --> 00:39:16,640 Speaker 1: of the Senate. He had Mitch McConnell working with him, 618 00:39:17,160 --> 00:39:20,600 Speaker 1: and they've used Paul Ryan as sort of the fall guy. 619 00:39:20,680 --> 00:39:24,200 Speaker 1: That Ryan was somebody who wanted to focus on the economy, 620 00:39:24,239 --> 00:39:28,439 Speaker 1: and Trump overruled him and said immigration. It is historically 621 00:39:28,600 --> 00:39:33,480 Speaker 1: when presidents have faced an opposition Congress, as President Trump 622 00:39:33,480 --> 00:39:38,280 Speaker 1: will starting in January, how have they used that opportunity 623 00:39:38,440 --> 00:39:42,600 Speaker 1: to advance their agenda or to advance themselves politically? In 624 00:39:42,600 --> 00:39:48,120 Speaker 1: other words, what lessons should President Trump take from Clinton, Obama, 625 00:39:48,160 --> 00:39:52,080 Speaker 1: Reagan and others about how to work with or against 626 00:39:52,160 --> 00:39:55,720 Speaker 1: an opposition Congress. Well, it's going to be a big choice. 627 00:39:55,800 --> 00:39:58,719 Speaker 1: He remember we talked a lot about Ronald Reagan befriending 628 00:39:58,760 --> 00:40:02,719 Speaker 1: Tip O'Neill and head Kennedy, Um, and they became pals. 629 00:40:03,440 --> 00:40:07,279 Speaker 1: Can Donald Trump become friends with Nancy Pelosi? Can he 630 00:40:07,360 --> 00:40:10,319 Speaker 1: invited for dinner? Can he talked to Pelosi and say, 631 00:40:10,360 --> 00:40:13,360 Speaker 1: look at when the country needs a couple of big 632 00:40:13,400 --> 00:40:17,120 Speaker 1: things that we all do together, can you bring some votes? Um? 633 00:40:17,239 --> 00:40:21,200 Speaker 1: Can we work together? The problem is the Democrats right 634 00:40:21,200 --> 00:40:22,960 Speaker 1: now don't want to be in a photo op with 635 00:40:23,040 --> 00:40:27,840 Speaker 1: President Trump. Um. They're already gearing up for about fifteen 636 00:40:27,880 --> 00:40:30,799 Speaker 1: Democrats are probably gonna end up running for president when 637 00:40:30,840 --> 00:40:35,279 Speaker 1: it's all said and done, and they're running against Trump's persona, 638 00:40:35,719 --> 00:40:39,480 Speaker 1: his big mouth, his Uh, his racist banter. Is that 639 00:40:39,560 --> 00:40:42,960 Speaker 1: sort of depressing? Because what I'm gathering from your comments, Doug, 640 00:40:43,000 --> 00:40:47,279 Speaker 1: is that it's it's to both parties benefit to not 641 00:40:47,840 --> 00:40:52,600 Speaker 1: work together, and that Donald Trump seems to thrive when 642 00:40:52,640 --> 00:40:57,360 Speaker 1: he has someone to demonize, whether it's the media or Democrats, 643 00:40:57,719 --> 00:41:01,160 Speaker 1: and the Democrats want to continue along this path as 644 00:41:01,200 --> 00:41:05,880 Speaker 1: well because it will galvanize their base and Democratic voters 645 00:41:05,880 --> 00:41:08,840 Speaker 1: in general. Exactly right. So we may not have moved 646 00:41:09,120 --> 00:41:13,200 Speaker 1: any the ball forward very much after the midterms. People 647 00:41:13,200 --> 00:41:15,879 Speaker 1: always asked, do you know, are we more divided than ever? 648 00:41:16,000 --> 00:41:19,960 Speaker 1: I was asked that question yesterday when I was being interviewed, Um, 649 00:41:20,000 --> 00:41:22,080 Speaker 1: and I don't know. What do you What do you 650 00:41:22,120 --> 00:41:24,680 Speaker 1: say when people ask that? Do you talk about Vietnam, 651 00:41:24,840 --> 00:41:29,200 Speaker 1: Dutah obviously, the civil ward, But do you think it's unprecedented? 652 00:41:29,280 --> 00:41:33,480 Speaker 1: The polarization we're witnessing now? It's extreme. You have to 653 00:41:33,520 --> 00:41:36,600 Speaker 1: go back to Vietnam when where country was divided between 654 00:41:36,640 --> 00:41:40,360 Speaker 1: hawks and doves, when civil rights exploded, and it was 655 00:41:40,440 --> 00:41:44,680 Speaker 1: you know, George Wallace versus Martin Luther King. Um. The 656 00:41:44,760 --> 00:41:47,040 Speaker 1: problem I see right now is the Democrats are going 657 00:41:47,080 --> 00:41:50,280 Speaker 1: to go after Donald Trump's tax returns and the Muller 658 00:41:50,360 --> 00:41:54,960 Speaker 1: investigations coming, and Trump's gonna say that this is harassment. 659 00:41:55,040 --> 00:41:57,920 Speaker 1: I'm being harassed by the Democrats. That's gonna be the 660 00:41:57,960 --> 00:42:02,359 Speaker 1: big new word, UM, congressional harassment of the president. Um. 661 00:42:02,400 --> 00:42:06,399 Speaker 1: And the Democrats are ionic, isn't it It is. He's 662 00:42:06,400 --> 00:42:09,200 Speaker 1: gonna be complaining about harassment and there's gonna be a 663 00:42:09,239 --> 00:42:12,240 Speaker 1: demand for and the Democrats are saying we want transparency 664 00:42:12,320 --> 00:42:16,960 Speaker 1: and government. Those words transparency versus harassment, I think they're 665 00:42:17,040 --> 00:42:19,560 Speaker 1: gonna be used coming up. But we've seen it worse 666 00:42:19,640 --> 00:42:23,359 Speaker 1: than American history. I was thrilled last evening. I look 667 00:42:23,400 --> 00:42:26,200 Speaker 1: for little things that are As a historian, they jumped 668 00:42:26,239 --> 00:42:28,680 Speaker 1: out of me that there were two Native American women 669 00:42:29,040 --> 00:42:31,520 Speaker 1: that are now in Congress, and that's that's the first 670 00:42:31,600 --> 00:42:34,600 Speaker 1: and there too, and that's quite exciting. So we can 671 00:42:34,640 --> 00:42:41,120 Speaker 1: see they the omni American story, all sorts of different 672 00:42:41,160 --> 00:42:44,880 Speaker 1: types of American zone getting elected. Hundred and seventeen women 673 00:42:44,960 --> 00:42:49,080 Speaker 1: being elected to Congress at last counting that. I mentioned 674 00:42:49,080 --> 00:42:51,560 Speaker 1: that on my Instagram feed, and I was accused of 675 00:42:51,600 --> 00:42:57,280 Speaker 1: being sort of practicing identity politics, and I basically said, 676 00:42:57,560 --> 00:43:02,680 Speaker 1: you know, listen, we want our representatives to truly represent 677 00:43:03,239 --> 00:43:07,040 Speaker 1: the diversity of this country. And that's not to suggest 678 00:43:07,120 --> 00:43:09,440 Speaker 1: you vote for a woman simply because she's a woman, 679 00:43:10,120 --> 00:43:15,239 Speaker 1: but certainly women women's voices need to be heard and 680 00:43:15,360 --> 00:43:19,520 Speaker 1: exercised on Capitol Hill and elsewhere. They're the majority of 681 00:43:19,560 --> 00:43:24,120 Speaker 1: the country, of the population, baby, Yeah, that have been 682 00:43:24,120 --> 00:43:27,120 Speaker 1: really underrepresented, only got the right to vote, as Doug 683 00:43:27,200 --> 00:43:31,520 Speaker 1: well knows, uh in nine twenty. So that's uh, that's 684 00:43:31,520 --> 00:43:34,360 Speaker 1: a little different than being kind of an interest group 685 00:43:34,400 --> 00:43:37,520 Speaker 1: to me. Well, you know what was underplayed is um 686 00:43:37,600 --> 00:43:41,719 Speaker 1: Jackie Rosen's victory in Nevada. She beat Dean Heller, a 687 00:43:41,880 --> 00:43:47,080 Speaker 1: conservative Trumpian Republican. But Nevada now has two women's senators 688 00:43:47,480 --> 00:43:50,719 Speaker 1: in the last you know, say, eight years. Um, Nevada 689 00:43:50,800 --> 00:43:53,360 Speaker 1: has become a blue state. Yeah, we talked all about 690 00:43:53,360 --> 00:43:55,440 Speaker 1: that with a caller, Doug. There were a lot of 691 00:43:55,480 --> 00:44:01,120 Speaker 1: conversations or speculation and accusations about voter suppression, particularly in 692 00:44:01,160 --> 00:44:07,640 Speaker 1: Georgia and in Florida as well. Can you help us understand, uh, 693 00:44:07,680 --> 00:44:11,120 Speaker 1: if these were accusations or if there's evidence that this 694 00:44:11,239 --> 00:44:14,439 Speaker 1: was really happening. Certainly, Brian Kempt, the Secretary of State 695 00:44:14,440 --> 00:44:17,960 Speaker 1: who was running against Stacy Abrams, was kind of in 696 00:44:18,080 --> 00:44:22,520 Speaker 1: charge of these issues with Jimmy Carter said was inappropriate 697 00:44:22,560 --> 00:44:25,400 Speaker 1: he should step down from that role during the election. 698 00:44:25,520 --> 00:44:29,080 Speaker 1: But um, are we going to know for sure if 699 00:44:29,120 --> 00:44:32,520 Speaker 1: there were cases of voter suppression and how can you 700 00:44:32,520 --> 00:44:34,800 Speaker 1: shed light on that for us? I think in Georgia 701 00:44:34,800 --> 00:44:40,239 Speaker 1: they're going to be lawsuits looking into voters suppression and 702 00:44:40,360 --> 00:44:43,960 Speaker 1: ways to disenfranchise the voting in the state of Georgia. 703 00:44:44,400 --> 00:44:47,400 Speaker 1: You mentioned, Katie, Jimmy Carter, you know, back in nineteen 704 00:44:48,160 --> 00:44:51,080 Speaker 1: sixty two. I believe he ran for the State Senate 705 00:44:51,160 --> 00:44:54,759 Speaker 1: of Georgia and loss, but he sued and challenged and 706 00:44:54,800 --> 00:44:57,600 Speaker 1: found that it was an illegal vote against him, and 707 00:44:57,640 --> 00:45:00,320 Speaker 1: he ended up getting his political career up in going 708 00:45:01,000 --> 00:45:04,759 Speaker 1: by challenging. Uh. I see Stacy Abrams doing that. She's 709 00:45:04,800 --> 00:45:08,360 Speaker 1: going to challenge this result for the next month. But 710 00:45:08,440 --> 00:45:11,600 Speaker 1: it's hard to do turnarounds and elections, and you'd have 711 00:45:11,680 --> 00:45:16,040 Speaker 1: to find true, you know, voter um suppression, UM causes, 712 00:45:16,120 --> 00:45:18,480 Speaker 1: it's a legal issue at this point. We saw a 713 00:45:18,560 --> 00:45:23,600 Speaker 1: real ratcheting up of racial rhetoric and racial tensions around 714 00:45:23,600 --> 00:45:28,560 Speaker 1: this election. UM. Lots of nasty stuff said about Jewish 715 00:45:28,600 --> 00:45:31,440 Speaker 1: and African American candidates for office, As you mentioned the 716 00:45:31,440 --> 00:45:34,760 Speaker 1: President putting out an ad about Latinos that even Fox 717 00:45:34,760 --> 00:45:38,480 Speaker 1: wouldn't run. When was the last time that we had 718 00:45:39,040 --> 00:45:43,719 Speaker 1: so bitter a racial and cultural divide around an election? 719 00:45:44,320 --> 00:45:49,360 Speaker 1: I think nineteen sixty eight when Um Nixon and Hubert 720 00:45:49,440 --> 00:45:53,680 Speaker 1: Humphrey and George Wallace ran. Wallace became the insurgent third 721 00:45:53,760 --> 00:45:58,320 Speaker 1: party candidate and took a lot of Southern Democrats along 722 00:45:58,360 --> 00:46:01,120 Speaker 1: with him and later would bring a lot of Midwest 723 00:46:01,239 --> 00:46:04,680 Speaker 1: voters to him. George Wallace. Wallace is a factor in 724 00:46:04,719 --> 00:46:08,879 Speaker 1: our modern times because Trump has really modeled himself after 725 00:46:08,920 --> 00:46:12,000 Speaker 1: a kind of demagogic fashion like U. E. Long or 726 00:46:12,360 --> 00:46:16,360 Speaker 1: George Wallace of the South stromp Thurman. And Trump's also 727 00:46:16,400 --> 00:46:18,919 Speaker 1: moved in on the Ross Piro vote. You know, Russ 728 00:46:18,960 --> 00:46:22,840 Speaker 1: pro got nine percent of the vote in as a 729 00:46:22,960 --> 00:46:26,440 Speaker 1: third party candidate, and that was all against NAFTA. The 730 00:46:26,520 --> 00:46:29,040 Speaker 1: sucking sound of the jobs you hear are going up, 731 00:46:29,040 --> 00:46:33,600 Speaker 1: you know, going leaving America from Mexico. Trump stole that message. 732 00:46:33,600 --> 00:46:37,080 Speaker 1: So he's created a new identity for the Republican Party. 733 00:46:37,120 --> 00:46:39,360 Speaker 1: And I guess if there's an upside for Donald Trump 734 00:46:39,480 --> 00:46:43,080 Speaker 1: last night, it truly is Trump's party. I don't think 735 00:46:43,120 --> 00:46:46,120 Speaker 1: there's anybody within the party structure that's going to be 736 00:46:46,200 --> 00:46:49,480 Speaker 1: able to dent Donald Trump's power. It's going to be 737 00:46:49,560 --> 00:46:52,720 Speaker 1: up to the Democrats to take him down. In Doug, 738 00:46:52,760 --> 00:46:54,920 Speaker 1: one of the long term trends that we saw a 739 00:46:54,960 --> 00:46:59,120 Speaker 1: play out in this election was the defeat of moderate 740 00:46:59,200 --> 00:47:03,120 Speaker 1: senators who can work across the aisle um. On the 741 00:47:03,120 --> 00:47:08,560 Speaker 1: Republican side, we saw some retirements, um because Republican senators 742 00:47:08,560 --> 00:47:12,799 Speaker 1: who opposed Trump couldn't win their primaries. Democratic senators who 743 00:47:12,840 --> 00:47:16,799 Speaker 1: are more moderate couldn't get reelected in Trump e states. Um. 744 00:47:16,880 --> 00:47:20,720 Speaker 1: What does that portend for the Senate's ability to forge 745 00:47:20,760 --> 00:47:26,239 Speaker 1: consensus and craft bipartisan legislation. I think the Senate is 746 00:47:26,280 --> 00:47:29,000 Speaker 1: just going to be a rubber stamp for Donald Trump. Now, 747 00:47:29,320 --> 00:47:33,400 Speaker 1: they're gonna work hard to do more federal judges in place, 748 00:47:33,520 --> 00:47:36,880 Speaker 1: and if they're lucky, get yet a third Supreme Court 749 00:47:37,320 --> 00:47:40,839 Speaker 1: nominee chosen, perhaps down the line. I don't see much 750 00:47:40,920 --> 00:47:43,800 Speaker 1: coming out of the Senate. Uh. That's why Dick Durbin 751 00:47:43,880 --> 00:47:47,880 Speaker 1: will probably become the leading voice constantly saying that the 752 00:47:47,960 --> 00:47:51,120 Speaker 1: Senate is worthless and does nothing, and they're they're not 753 00:47:51,200 --> 00:47:54,600 Speaker 1: listening to the Democrats in the Senate. The all eyes 754 00:47:54,640 --> 00:47:58,000 Speaker 1: now shift to Congress. The person of the moment is 755 00:47:58,080 --> 00:48:02,440 Speaker 1: Nancy Pelosi, a survivor in American politics. She now is 756 00:48:02,480 --> 00:48:05,600 Speaker 1: going to be having to hurt all the Democratic cats, 757 00:48:05,680 --> 00:48:10,720 Speaker 1: all the different characters together and decide whether they try 758 00:48:10,800 --> 00:48:14,600 Speaker 1: to do an early nineteen deal with Trump or just 759 00:48:14,840 --> 00:48:19,120 Speaker 1: be resist him and and and make Trump the foe 760 00:48:19,160 --> 00:48:22,160 Speaker 1: of the American people. It's yet to be seen, but 761 00:48:22,200 --> 00:48:26,080 Speaker 1: Pelosi is a new power broker. She's been one for decades, 762 00:48:26,120 --> 00:48:28,600 Speaker 1: but I think now we have to look at her 763 00:48:28,600 --> 00:48:32,560 Speaker 1: as a giant in American history because she is the 764 00:48:32,600 --> 00:48:36,520 Speaker 1: one big check on Donald Trump. And I'm sure she's 765 00:48:36,520 --> 00:48:41,239 Speaker 1: going to be his newest, juiciest target. If you will, yes, 766 00:48:41,719 --> 00:48:44,120 Speaker 1: He'll try to do a deal maybe with her, and 767 00:48:44,120 --> 00:48:47,160 Speaker 1: if she rejects it, he will double down, triple down, 768 00:48:47,760 --> 00:48:51,200 Speaker 1: and just pound away at Nancy Pelosi. And if we're 769 00:48:51,239 --> 00:48:55,200 Speaker 1: wondering what Donald Trump's attitude towards her might be, he 770 00:48:55,280 --> 00:48:58,480 Speaker 1: tweeted the day after the election. In all fairness, Nancy 771 00:48:58,520 --> 00:49:01,240 Speaker 1: Pelosi deserves to beach shows and Speaker of the House 772 00:49:01,239 --> 00:49:03,399 Speaker 1: by the Democrats. If they give her a hard time, 773 00:49:03,440 --> 00:49:07,360 Speaker 1: perhaps we will add some Republican votes. She has earned 774 00:49:07,360 --> 00:49:10,840 Speaker 1: this great honor. Maybe a bit of a backhanded compliment, 775 00:49:11,680 --> 00:49:14,680 Speaker 1: you would prefer that she's his foe. Well, I do 776 00:49:14,800 --> 00:49:17,960 Speaker 1: think that it's in Donald Trump's interest right now. And 777 00:49:18,000 --> 00:49:21,000 Speaker 1: he said to try to tone things down to maybe 778 00:49:21,000 --> 00:49:26,840 Speaker 1: try to do one big infrastructure um deal with the Democrats. Basically, 779 00:49:26,880 --> 00:49:29,439 Speaker 1: if he can convince Pelosi to take a time out 780 00:49:29,920 --> 00:49:32,759 Speaker 1: for a few months and then start in early nineteen 781 00:49:32,840 --> 00:49:36,160 Speaker 1: and get one big thing done on the Democrats, might 782 00:49:36,200 --> 00:49:38,759 Speaker 1: be game for that. Um, that's what he's trying to 783 00:49:38,800 --> 00:49:42,640 Speaker 1: do now. He's actually trying to charm Nancy Pelosi. If 784 00:49:42,719 --> 00:49:46,480 Speaker 1: that gets rejected and instead there's this attempt to get 785 00:49:46,480 --> 00:49:51,479 Speaker 1: at as tax returns soon, Um, once Congress goes back 786 00:49:51,480 --> 00:49:54,080 Speaker 1: in a session, then you'll see a war between Pelosi 787 00:49:54,080 --> 00:49:56,719 Speaker 1: and Trump. It's it's unsure which way it will go. 788 00:49:56,880 --> 00:49:59,759 Speaker 1: It'll end up badly between the two. But there might 789 00:49:59,760 --> 00:50:02,759 Speaker 1: be honeymoon there for about four or five months. There 790 00:50:02,800 --> 00:50:05,480 Speaker 1: will be plenty to talk about or listen to on 791 00:50:05,719 --> 00:50:10,040 Speaker 1: cable news, depending on your network of choice. Has all 792 00:50:10,080 --> 00:50:13,080 Speaker 1: of this unfolds, Doug, always great to have you and 793 00:50:13,160 --> 00:50:15,160 Speaker 1: to talk to you. Thanks so much for doing this. 794 00:50:15,560 --> 00:50:20,640 Speaker 1: Thanks so much. Thanks, Katie and Brian enjoyed it. That 795 00:50:20,680 --> 00:50:23,319 Speaker 1: does it for us today. The team that produces this 796 00:50:23,400 --> 00:50:27,520 Speaker 1: show is producer Emma Morgan Stern, associate producer Noura Richie, 797 00:50:27,880 --> 00:50:31,960 Speaker 1: audio engineer Jared O'Connell. Special thanks to Andy Kristen's for 798 00:50:32,080 --> 00:50:34,440 Speaker 1: pitch hitting on the mix this week, as well as 799 00:50:34,520 --> 00:50:37,680 Speaker 1: Chris Hoff and Paul Anchor at k KWI D, the 800 00:50:37,760 --> 00:50:41,800 Speaker 1: venerable public radio station here in San Francisco, Brandon Martin 801 00:50:41,840 --> 00:50:45,360 Speaker 1: and Houston, Lizzie Peabody in Washington. We are all over America. 802 00:50:45,400 --> 00:50:47,600 Speaker 1: I was going to say a cast of thousands and 803 00:50:47,640 --> 00:50:50,680 Speaker 1: a big round of applause to my assistant Beth Dems 804 00:50:50,760 --> 00:50:55,560 Speaker 1: and my social media master Julia Lewis. Jared Arnold composed 805 00:50:55,600 --> 00:50:58,200 Speaker 1: our theme music. You can find me on Twitter at 806 00:50:58,200 --> 00:51:01,640 Speaker 1: Goldsmith b. You can follow Katie incessant Instagram, and I 807 00:51:01,640 --> 00:51:04,600 Speaker 1: mean that in the nicest way possible. You can follow 808 00:51:04,640 --> 00:51:07,600 Speaker 1: her on Twitter or Facebook. She's on all of those sites. 809 00:51:07,680 --> 00:51:10,200 Speaker 1: As you guessed it, Katie Current. If you want to 810 00:51:10,200 --> 00:51:12,280 Speaker 1: tell us what you think about the show or ask 811 00:51:12,400 --> 00:51:15,359 Speaker 1: us a question, please write to us at comments at 812 00:51:15,440 --> 00:51:18,759 Speaker 1: currect podcast dot com or leave us a voicemail at 813 00:51:20,080 --> 00:51:23,480 Speaker 1: four four six three seven. Thank you so much for listening, 814 00:51:23,800 --> 00:51:25,320 Speaker 1: and we'll talk to you next week.