1 00:00:03,600 --> 00:00:06,200 Speaker 1: So one of the topics I've certainly brought up quite 2 00:00:06,240 --> 00:00:09,080 Speaker 1: a few times has to do with just simply Democratic 3 00:00:09,200 --> 00:00:13,520 Speaker 1: voter registration. And it has been in a consistent downward trend, 4 00:00:13,960 --> 00:00:20,680 Speaker 1: arguably now for five years. And what's been a head 5 00:00:20,720 --> 00:00:25,640 Speaker 1: scratcher has been the sort of at times what has 6 00:00:25,680 --> 00:00:28,360 Speaker 1: appeared as a lack of urgency among some party leaders 7 00:00:28,400 --> 00:00:32,479 Speaker 1: about this trend line registration. And it turned out that 8 00:00:32,560 --> 00:00:36,240 Speaker 1: what the Republicans did starting in arguably before the twenty 9 00:00:36,280 --> 00:00:39,000 Speaker 1: twenty election. But certainly, and maybe this is about COVID, 10 00:00:39,080 --> 00:00:41,120 Speaker 1: and with my guest here we're going to talk about 11 00:00:41,120 --> 00:00:43,159 Speaker 1: that a little bit, is how much how much this 12 00:00:43,440 --> 00:00:47,839 Speaker 1: initial setback was during COVID, when the Republicans were more 13 00:00:47,880 --> 00:00:51,559 Speaker 1: comfortable doing in person than the Democrats were. But the 14 00:00:51,600 --> 00:00:54,320 Speaker 1: fact is we're here. There was one I believe the 15 00:00:54,360 --> 00:00:56,520 Speaker 1: folks of our decision desk put out a stat that 16 00:00:56,560 --> 00:00:59,040 Speaker 1: should I think that the last year Democrats have lost 17 00:00:59,080 --> 00:01:02,240 Speaker 1: a million voters among the states that keep track of that, 18 00:01:02,720 --> 00:01:05,800 Speaker 1: Republicans have lost about one hundred thousand. And of course, 19 00:01:05,840 --> 00:01:09,880 Speaker 1: no party or independent, whatever the delineation is by state, 20 00:01:10,080 --> 00:01:12,800 Speaker 1: is where all these extra voters have come. Tom Bonyer 21 00:01:12,920 --> 00:01:16,000 Speaker 1: is a longtime Democratic strategist, former CEO of Target Smart, 22 00:01:16,000 --> 00:01:19,600 Speaker 1: the sort of the chief voter file company for Team 23 00:01:19,640 --> 00:01:23,120 Speaker 1: Blue these days. When I was at NBC, we actually 24 00:01:23,160 --> 00:01:26,120 Speaker 1: worked with Target Smart as well, and in fact RNBC 25 00:01:26,200 --> 00:01:29,640 Speaker 1: poll combines Target Smart work with one of the key 26 00:01:29,959 --> 00:01:34,279 Speaker 1: voter file companies on the on Team Red, and Tom Bonier, 27 00:01:34,319 --> 00:01:36,880 Speaker 1: in a New York Times interview, goes, hey, I was 28 00:01:36,959 --> 00:01:39,880 Speaker 1: dismissive of these voter registration numbers, and I was wrong. 29 00:01:40,680 --> 00:01:42,720 Speaker 1: He's here today to talk more about that. Tom. Good 30 00:01:42,720 --> 00:01:43,440 Speaker 1: to see you. 31 00:01:43,480 --> 00:01:44,160 Speaker 2: Good to be here. 32 00:01:44,920 --> 00:01:48,559 Speaker 1: So let's start with this. Where did this begin? Because 33 00:01:49,600 --> 00:01:54,240 Speaker 1: you know, for essentially the first fifteen years of this century, 34 00:01:54,560 --> 00:02:00,000 Speaker 1: Democrats were making the registration progress right Barack Obama's campaign 35 00:02:00,440 --> 00:02:03,280 Speaker 1: and sort of the success of its administration, and that's 36 00:02:03,280 --> 00:02:05,000 Speaker 1: sort of a if you look at an overall fifty 37 00:02:05,040 --> 00:02:07,720 Speaker 1: year trend, if you have a two term president, it 38 00:02:07,760 --> 00:02:11,520 Speaker 1: does usually help your party in the voter registration column. 39 00:02:12,680 --> 00:02:15,200 Speaker 1: But they hit a wall somewhere, and the question was 40 00:02:15,280 --> 00:02:19,240 Speaker 1: why did it happen? It started with COVID, But where 41 00:02:19,280 --> 00:02:21,240 Speaker 1: has it gone? And how have you come to the 42 00:02:21,280 --> 00:02:24,800 Speaker 1: conclusion that this turned out to be something we should 43 00:02:24,800 --> 00:02:25,480 Speaker 1: have focused more on. 44 00:02:26,080 --> 00:02:28,640 Speaker 2: Yeah, I mean you could actually even put the start 45 00:02:28,680 --> 00:02:33,040 Speaker 2: of it even further back, potentially to seventeen when you 46 00:02:33,160 --> 00:02:36,519 Speaker 2: saw now it had a different impact at that point 47 00:02:36,520 --> 00:02:40,800 Speaker 2: in terms of Trump's first term, but the Democratic Party 48 00:02:40,919 --> 00:02:46,480 Speaker 2: brand after the Bernie Clinton primary wasn't great, and so 49 00:02:46,520 --> 00:02:49,280 Speaker 2: what you saw at that point, starting in twenty seventeen 50 00:02:49,320 --> 00:02:54,360 Speaker 2: and going forward was fewer people registering or identifying as Democrats, 51 00:02:54,480 --> 00:02:57,160 Speaker 2: but it wasn't really impacting the vote at that point 52 00:02:57,280 --> 00:03:00,160 Speaker 2: because of the negative reaction to Trump's first term. There's 53 00:03:00,160 --> 00:03:03,119 Speaker 2: a lot of enthusiasm, especially among younger voters going into 54 00:03:03,160 --> 00:03:06,640 Speaker 2: the twenty eighteen midterms, So these voters were registering as 55 00:03:06,760 --> 00:03:11,080 Speaker 2: unaffiliated voters but were still voting for Democrats. And so 56 00:03:11,520 --> 00:03:14,720 Speaker 2: you're right, it was more around the pandemic in twenty twenty, 57 00:03:15,120 --> 00:03:19,120 Speaker 2: where initially you saw a bigger drop in terms of 58 00:03:19,160 --> 00:03:22,240 Speaker 2: the percent of registered voters and states of partisan registration, 59 00:03:22,280 --> 00:03:24,080 Speaker 2: which is more than half the states, and it's a 60 00:03:24,160 --> 00:03:26,840 Speaker 2: very diverse sample of states in terms of red states, 61 00:03:26,840 --> 00:03:31,760 Speaker 2: blue states, purple states. You saw that number dropping even more, 62 00:03:31,919 --> 00:03:35,840 Speaker 2: but it was spikey then because you remember the Black 63 00:03:35,880 --> 00:03:40,760 Speaker 2: Lives Matter movement and after George Floyd's murder, you saw 64 00:03:41,040 --> 00:03:45,480 Speaker 2: where there was more organizing happen generally driven by that movement. 65 00:03:45,760 --> 00:03:49,800 Speaker 2: You did see some more spikes and Democratic registration leading 66 00:03:50,120 --> 00:03:53,360 Speaker 2: into that election. So if you want to see where 67 00:03:53,400 --> 00:03:56,720 Speaker 2: it really went south for Democrats, who was generally just 68 00:03:56,960 --> 00:04:02,640 Speaker 2: during that four year period of President Biden's presidency, where 69 00:04:03,040 --> 00:04:06,000 Speaker 2: it followed the polling numbers, again, the Democratic Party brand 70 00:04:07,160 --> 00:04:10,240 Speaker 2: was heading south. And what we saw, and you mentioned 71 00:04:10,280 --> 00:04:11,840 Speaker 2: that that quote I had in the New York Times 72 00:04:11,880 --> 00:04:15,160 Speaker 2: about being wrong, what I was very specifically wrong about 73 00:04:15,400 --> 00:04:18,919 Speaker 2: was this calculation that well, maybe it's okay, maybe that 74 00:04:19,080 --> 00:04:21,719 Speaker 2: you know, what we saw during Trump's first term is 75 00:04:21,760 --> 00:04:24,800 Speaker 2: something we would see repeated that while fewer people were 76 00:04:24,839 --> 00:04:29,159 Speaker 2: identifying with the party or registering more importantly with the party, 77 00:04:29,640 --> 00:04:32,760 Speaker 2: that you looked at these unaffiliated voters and they looked 78 00:04:32,839 --> 00:04:36,240 Speaker 2: more like Democratic voters, meaning they were young, they were 79 00:04:36,240 --> 00:04:40,000 Speaker 2: more women than men, they were color and in the 80 00:04:40,120 --> 00:04:42,520 Speaker 2: end that didn't bear out. These are exactly the voters 81 00:04:42,560 --> 00:04:46,719 Speaker 2: that President Trump overperformed with serious election. 82 00:04:48,040 --> 00:04:51,120 Speaker 1: So let's start with the just the mechanics of voter registration. 83 00:04:51,320 --> 00:04:53,920 Speaker 1: You know, you could argue that a political party has 84 00:04:53,960 --> 00:04:58,920 Speaker 1: one job get members right, like that. Ultimately, you have 85 00:04:59,000 --> 00:05:01,840 Speaker 1: one job in a particularly if you run a county 86 00:05:01,839 --> 00:05:04,600 Speaker 1: party or a state party. You know, a national party 87 00:05:04,640 --> 00:05:07,479 Speaker 1: you could argue is sort of in some ways making 88 00:05:07,480 --> 00:05:10,320 Speaker 1: sure you have healthy chapters right all over the country, 89 00:05:10,360 --> 00:05:12,440 Speaker 1: but certainly on a state and local level, you have 90 00:05:12,480 --> 00:05:15,320 Speaker 1: one job. I'm a Floridian, a former Floridian, and I 91 00:05:15,400 --> 00:05:18,800 Speaker 1: you know, I always I have marveled at the incompetency 92 00:05:19,040 --> 00:05:22,520 Speaker 1: of the state Democratic Party because it's the voters have 93 00:05:22,640 --> 00:05:26,359 Speaker 1: performed better. Right for the longest time, Democrats used to 94 00:05:26,360 --> 00:05:29,760 Speaker 1: overperform their organization. And it would be one of those things. Boy, 95 00:05:29,800 --> 00:05:31,640 Speaker 1: if you ever actually spent some money in an organization, 96 00:05:32,120 --> 00:05:35,159 Speaker 1: this could happen and then everything went in the reverse. 97 00:05:36,520 --> 00:05:40,560 Speaker 1: And the Republicans have simply made a concerted effort to 98 00:05:40,600 --> 00:05:44,360 Speaker 1: register voters and the Democratic Party didn't. And I've never 99 00:05:44,920 --> 00:05:49,080 Speaker 1: what is in the you know, why isn't this first 100 00:05:49,120 --> 00:05:53,320 Speaker 1: and foremost? Why do Democrats outsource this more it appears 101 00:05:53,360 --> 00:05:54,359 Speaker 1: than the Republicans do. 102 00:05:54,960 --> 00:05:58,200 Speaker 2: Yeah, well, this is a complicated one, and you hit 103 00:05:58,240 --> 00:06:01,080 Speaker 2: on some of the key elements of this. Democrats have 104 00:06:01,240 --> 00:06:04,920 Speaker 2: invested in voter registration, to your point, generally not through 105 00:06:05,200 --> 00:06:07,760 Speaker 2: the party. There are some reasons just in terms of 106 00:06:07,800 --> 00:06:09,800 Speaker 2: the type of money you can spend. For the longest time, 107 00:06:09,880 --> 00:06:14,159 Speaker 2: Democrats had organizations like Acorn no longer that were very 108 00:06:14,160 --> 00:06:17,719 Speaker 2: successful in registering voters. It's all they did, right, They 109 00:06:17,800 --> 00:06:20,440 Speaker 2: had one job. Right, it's non partisan work. So what 110 00:06:20,480 --> 00:06:23,760 Speaker 2: that generally means or overwhelmingly non partisan work, meaning the. 111 00:06:24,640 --> 00:06:28,920 Speaker 1: Least partisan work is in legal terms, it's non partisan, right, So. 112 00:06:28,960 --> 00:06:31,400 Speaker 2: Five on one C three. Generally a lot of these 113 00:06:31,480 --> 00:06:33,920 Speaker 2: organizations are registered as five to one C threes or 114 00:06:33,920 --> 00:06:37,640 Speaker 2: five one C fours, meaning that they can't go out 115 00:06:37,680 --> 00:06:40,120 Speaker 2: and say, you know, are you a Democrat or a 116 00:06:40,120 --> 00:06:43,640 Speaker 2: Republican and then only register the Democrats. It's not partisan registration. 117 00:06:44,000 --> 00:06:46,680 Speaker 2: So they would register people based on demographics, so they 118 00:06:46,680 --> 00:06:51,279 Speaker 2: would go to college campuses, they would go to neighborhoods. 119 00:06:50,600 --> 00:06:53,120 Speaker 1: Where you know, you would get a larger share of 120 00:06:53,160 --> 00:06:55,720 Speaker 1: who you're registering. But it's not like they wouldn't register 121 00:06:55,760 --> 00:06:57,960 Speaker 1: somebody that wanted to be a Republican, a libertarian or 122 00:06:58,000 --> 00:06:58,720 Speaker 1: Green part whatever. 123 00:06:59,000 --> 00:07:01,280 Speaker 2: It a simple math, but if you were getting more 124 00:07:01,360 --> 00:07:05,719 Speaker 2: people on one side than another, it generally worked out fine. 125 00:07:05,800 --> 00:07:08,480 Speaker 2: And again that was something that worked well for Democrats, 126 00:07:08,520 --> 00:07:10,480 Speaker 2: and again it was this calculus that well, in the end, 127 00:07:10,520 --> 00:07:13,880 Speaker 2: it doesn't matter if they self identify or identifying that 128 00:07:13,960 --> 00:07:16,800 Speaker 2: voter registration card as a Democrat, as long as they're 129 00:07:16,920 --> 00:07:20,680 Speaker 2: voting for and with the party. And for the longest time, 130 00:07:20,880 --> 00:07:24,240 Speaker 2: that was a calculus that was okay. And you know, 131 00:07:24,240 --> 00:07:25,720 Speaker 2: I should point out even when you look at the 132 00:07:25,760 --> 00:07:30,360 Speaker 2: last four years or even last year, there were democratic 133 00:07:30,480 --> 00:07:34,480 Speaker 2: or progressive entities that they'd overwhelmingly non partisan voter registration 134 00:07:34,920 --> 00:07:39,120 Speaker 2: that were still getting results. But the problem was with 135 00:07:39,200 --> 00:07:41,440 Speaker 2: the lack of the partisan element, with a lack of 136 00:07:41,480 --> 00:07:47,239 Speaker 2: investment in partisan voter registration, the margins weren't nearly where 137 00:07:47,280 --> 00:07:50,560 Speaker 2: they were in the past. And what's striking to me 138 00:07:50,720 --> 00:07:52,520 Speaker 2: if you want to look at the impact of this, 139 00:07:53,240 --> 00:07:55,880 Speaker 2: I looked at turnout just in terms of partisan registration 140 00:07:55,960 --> 00:07:58,400 Speaker 2: across the battleground state. Now four of the seven battleground 141 00:07:58,440 --> 00:08:01,360 Speaker 2: states offer partisan registry, so it's not all of them, 142 00:08:01,400 --> 00:08:05,360 Speaker 2: but again a pretty good sample. The differential on turnout. 143 00:08:05,400 --> 00:08:08,320 Speaker 2: If you compare twenty twenty where Joe Biden won in 144 00:08:08,400 --> 00:08:12,000 Speaker 2: twenty twenty four where Donald Trump won, the differential on 145 00:08:12,040 --> 00:08:15,360 Speaker 2: turnout between Democrats and Republicans twenty twenty four to twenty 146 00:08:15,360 --> 00:08:19,000 Speaker 2: twenty was less than a point. I mean, the swing 147 00:08:19,400 --> 00:08:24,360 Speaker 2: was minimal, But the deciding factor and why the result 148 00:08:24,480 --> 00:08:27,760 Speaker 2: ended up being this landslide from an electoral college perspective 149 00:08:28,080 --> 00:08:31,280 Speaker 2: for Donald Trump was because there were just so many 150 00:08:31,320 --> 00:08:34,440 Speaker 2: more registered Republicans in twenty twenty four and fewer To 151 00:08:34,480 --> 00:08:36,559 Speaker 2: the point you made earlier, it wasn't just that the 152 00:08:36,600 --> 00:08:39,880 Speaker 2: Democratic numbers were stagnant. There were actually fewer registered Democrats. 153 00:08:39,960 --> 00:08:42,640 Speaker 2: So Democrats going into this election in order to win 154 00:08:43,040 --> 00:08:46,160 Speaker 2: would have had to have gotten higher turnout among partisan 155 00:08:46,200 --> 00:08:50,400 Speaker 2: Democrats than they got in twenty twenty, which was almost impossible. 156 00:08:50,440 --> 00:08:53,000 Speaker 2: And we think that twenty twenty had records setting turnout 157 00:08:53,040 --> 00:08:55,880 Speaker 2: and Democrats did quite well in turnout. For Vice President 158 00:08:55,880 --> 00:08:59,800 Speaker 2: Harris to accomplish that would have been incredibly difficult. 159 00:09:00,080 --> 00:09:03,680 Speaker 1: Have you examined the Republican tactics and because they do 160 00:09:03,720 --> 00:09:06,880 Speaker 1: it more in a more partisan basis than the Democratic side, 161 00:09:06,920 --> 00:09:08,000 Speaker 1: is there something to be learned? 162 00:09:08,440 --> 00:09:12,240 Speaker 2: Yeah, I mean to the extent that I'm you know, 163 00:09:12,720 --> 00:09:15,000 Speaker 2: can dig into it and that it's out there and 164 00:09:15,000 --> 00:09:16,600 Speaker 2: a lot of it is out there in the public. 165 00:09:16,600 --> 00:09:17,240 Speaker 1: I think they've been. 166 00:09:17,200 --> 00:09:21,400 Speaker 2: Very proud of what they especially in states like Pennsylvania. 167 00:09:21,480 --> 00:09:24,360 Speaker 1: They work. Look, arguably, it is all they thought about 168 00:09:24,600 --> 00:09:28,760 Speaker 1: starting in twenty seventeen was we can't you know. It 169 00:09:28,800 --> 00:09:31,280 Speaker 1: was like it reminded me of Carl Rove after two thousand. Hey, 170 00:09:31,360 --> 00:09:33,760 Speaker 1: I don't want to have a margin like that again, 171 00:09:34,160 --> 00:09:38,680 Speaker 1: Let's try to improve in all of these key battleground states. 172 00:09:38,679 --> 00:09:41,520 Speaker 1: And back then it was Florida and Ohio. This time 173 00:09:41,960 --> 00:09:45,719 Speaker 1: it was the Big three, but particularly with Pennsylvania. Well 174 00:09:45,760 --> 00:09:46,080 Speaker 1: that's right. 175 00:09:46,120 --> 00:09:48,120 Speaker 2: I mean when you look at their post mortem mafter 176 00:09:48,120 --> 00:09:49,920 Speaker 2: the twenty twelve election, where they said, look, we're not 177 00:09:49,920 --> 00:09:52,840 Speaker 2: going to win another national election if we continue to 178 00:09:52,880 --> 00:09:56,120 Speaker 2: do as poorly as we do with these emerging demographics, 179 00:09:56,200 --> 00:09:58,840 Speaker 2: especially younger voters and voters, and then they didn't really 180 00:09:58,880 --> 00:10:00,000 Speaker 2: do anything about it. 181 00:10:00,600 --> 00:10:03,120 Speaker 1: Ironically, the autopsy was right. They just didn't know Donald 182 00:10:03,160 --> 00:10:05,240 Speaker 1: Trump was the answer that was going to win him 183 00:10:05,240 --> 00:10:07,840 Speaker 1: over at more diverse I mean, it is a strange thing. Now, 184 00:10:08,160 --> 00:10:11,280 Speaker 1: I did mean to sort of interrupt your trade of thought, 185 00:10:11,280 --> 00:10:13,680 Speaker 1: but I've thought about that autopsy. So were they right? 186 00:10:14,480 --> 00:10:16,640 Speaker 1: It just they were wrong about who the right person was. 187 00:10:16,720 --> 00:10:19,680 Speaker 1: I mean, you know, anyway, but I did I digress. 188 00:10:19,520 --> 00:10:21,280 Speaker 2: Just at the time, I don't think, nor would they. 189 00:10:21,200 --> 00:10:23,040 Speaker 1: Don't think that's what right three percent in mind? 190 00:10:23,080 --> 00:10:26,400 Speaker 2: No, oh no, no, certainly not. And so when you 191 00:10:26,400 --> 00:10:29,120 Speaker 2: look at their actual tactics now, a lot of it 192 00:10:29,160 --> 00:10:32,240 Speaker 2: looks a lot like what Democrats were doing again a 193 00:10:32,320 --> 00:10:36,040 Speaker 2: decade ago, two decades ago, especially, you know the successful 194 00:10:36,040 --> 00:10:38,840 Speaker 2: efforts of the Obama campaign. We have to remember that 195 00:10:38,960 --> 00:10:42,040 Speaker 2: the Obama campaign in two thousand and eight, they're organizing 196 00:10:42,080 --> 00:10:44,959 Speaker 2: with younger voters with something A lot of people looked 197 00:10:45,000 --> 00:10:46,840 Speaker 2: at it and said, well, look, these younger voters don't vote, 198 00:10:46,840 --> 00:10:50,120 Speaker 2: even especially not in presidential primary elections, and that campaign 199 00:10:50,240 --> 00:10:53,600 Speaker 2: saw an opportunity there and they put not only their 200 00:10:53,600 --> 00:10:57,920 Speaker 2: candidate there, but their resources organizing on college campuses. It's 201 00:10:58,000 --> 00:11:01,200 Speaker 2: arguably what won them the primary and then carried through 202 00:11:01,240 --> 00:11:04,240 Speaker 2: to the general election. And Republicans in a lot of 203 00:11:04,280 --> 00:11:07,000 Speaker 2: ways follow that model where they just had a presence 204 00:11:07,080 --> 00:11:10,520 Speaker 2: on college campuses that generally would be thought of as 205 00:11:10,960 --> 00:11:16,600 Speaker 2: quite hostile but for Republican or Republican electives, for Republican candidates. 206 00:11:16,800 --> 00:11:19,320 Speaker 2: But what they recognized, I think accurately, was that it 207 00:11:19,360 --> 00:11:21,600 Speaker 2: wasn't a matter if they didn't need to win these areas. 208 00:11:22,440 --> 00:11:26,040 Speaker 2: They just needed to turn around the numbers enough they 209 00:11:26,120 --> 00:11:29,320 Speaker 2: needed to not get out among younger voters, and you 210 00:11:29,360 --> 00:11:33,280 Speaker 2: look at what they created there. It's incredible, especially among 211 00:11:33,360 --> 00:11:36,400 Speaker 2: younger men. And these are numbers that are holding still. 212 00:11:36,480 --> 00:11:40,040 Speaker 2: They're resilient, especially among young men. When we look at 213 00:11:40,480 --> 00:11:44,800 Speaker 2: President Trump's overall numbers, you know, frankly in the toilet 214 00:11:44,920 --> 00:11:49,320 Speaker 2: at the moment, they're still out registering Democrats among younger men. 215 00:11:50,000 --> 00:11:52,200 Speaker 1: You know, I have a thesis on that that it's COVID. 216 00:11:53,040 --> 00:11:55,800 Speaker 1: I always I have a gen Z focus group in 217 00:11:55,800 --> 00:12:01,320 Speaker 1: my household to college students and my younger My younger 218 00:12:01,360 --> 00:12:04,800 Speaker 1: one was sort of you know, let me put it 219 00:12:04,840 --> 00:12:07,720 Speaker 1: this way, he and his friends. I would say, you know, 220 00:12:08,080 --> 00:12:11,120 Speaker 1: think about this. Your first interaction with government is COVID. 221 00:12:12,720 --> 00:12:15,160 Speaker 1: And for some of these guys, right the first time 222 00:12:15,320 --> 00:12:17,720 Speaker 1: they've dealt with government, it took them away from their friends. 223 00:12:18,559 --> 00:12:21,120 Speaker 1: And I think that is a I think this is 224 00:12:21,160 --> 00:12:24,720 Speaker 1: going to be a generational thing with these guys. But 225 00:12:24,880 --> 00:12:27,400 Speaker 1: we'll see, right, it's only one cycle. But that's just 226 00:12:27,440 --> 00:12:29,720 Speaker 1: the thesis I have that this is more COVID related 227 00:12:29,720 --> 00:12:30,839 Speaker 1: than we fully appreciate it. 228 00:12:31,600 --> 00:12:33,800 Speaker 2: I think that's absolutely right, and in fact, you know, 229 00:12:33,840 --> 00:12:37,400 Speaker 2: I shared you know, in generally, a lot of the 230 00:12:37,440 --> 00:12:39,080 Speaker 2: things that I will share, I would say most of 231 00:12:39,080 --> 00:12:41,080 Speaker 2: the things I share as a partisan Democrat that I 232 00:12:41,120 --> 00:12:43,280 Speaker 2: share in public are going to appear to be more 233 00:12:43,320 --> 00:12:45,960 Speaker 2: favorable for Democrats. But in November of twenty twenty three, 234 00:12:46,000 --> 00:12:49,120 Speaker 2: I shared some analysis I put together. It was looking 235 00:12:49,160 --> 00:12:52,280 Speaker 2: at the voter registration gender gap among voters under the 236 00:12:52,320 --> 00:12:54,440 Speaker 2: age of twenty five, and it was really for me, 237 00:12:54,559 --> 00:12:58,040 Speaker 2: sounding the alarm where among all of the party registration states, 238 00:12:58,400 --> 00:13:01,600 Speaker 2: the gender gap among these younger voters was twenty six points. 239 00:13:01,640 --> 00:13:06,360 Speaker 2: In Pennsylvania, it's almost thirty seven points. And to me 240 00:13:06,520 --> 00:13:09,600 Speaker 2: that was a flashing red alarm that that's something that 241 00:13:09,400 --> 00:13:12,480 Speaker 2: if that's something that holds, and that we don't do 242 00:13:12,520 --> 00:13:15,600 Speaker 2: something about it, we're not going to win. And I 243 00:13:15,600 --> 00:13:18,320 Speaker 2: think your point, yeah, it certainly came out of COVID. 244 00:13:18,520 --> 00:13:22,400 Speaker 2: These were you know, it's complex, but when you put 245 00:13:22,400 --> 00:13:26,480 Speaker 2: these younger men, especially in a situation where suddenly their 246 00:13:26,520 --> 00:13:31,120 Speaker 2: lives are being lived almost entirely online, and the sort 247 00:13:31,120 --> 00:13:33,679 Speaker 2: of interactions they were having and the connections they were making, 248 00:13:33,720 --> 00:13:35,880 Speaker 2: and then sort of the lack of real world connections 249 00:13:35,920 --> 00:13:39,040 Speaker 2: they had, I think it had a massive impact. You know, 250 00:13:39,040 --> 00:13:41,960 Speaker 2: when you look at the Navigator surveys from after the election, 251 00:13:42,120 --> 00:13:46,079 Speaker 2: which is a great data set of large sample sized 252 00:13:46,080 --> 00:13:49,400 Speaker 2: post election surveys. They asked the question about how much 253 00:13:49,440 --> 00:13:52,160 Speaker 2: political news do you consume? And there's a straight line 254 00:13:52,200 --> 00:13:55,680 Speaker 2: correlation between the answer to that question and for whom 255 00:13:55,720 --> 00:13:58,839 Speaker 2: you voted, Meaning the people say I consume a lot 256 00:13:58,840 --> 00:14:02,280 Speaker 2: of political news present Hairs won by six points, but 257 00:14:02,400 --> 00:14:05,800 Speaker 2: those who say that I consume no or almost none 258 00:14:06,640 --> 00:14:10,360 Speaker 2: Donald Trump one by almost fifteen points. And again we 259 00:14:10,400 --> 00:14:14,000 Speaker 2: talked about these voters as low information voters. They're overwhelmingly younger, 260 00:14:14,000 --> 00:14:16,280 Speaker 2: and they were more men than women. We talked about 261 00:14:16,280 --> 00:14:19,280 Speaker 2: them as low information voters. They're not exactly low information voters. 262 00:14:19,280 --> 00:14:23,960 Speaker 2: They're consuming so much information, but they aren't consuming over 263 00:14:24,080 --> 00:14:28,000 Speaker 2: political information in the spaces that Democrats generally were contesting 264 00:14:28,080 --> 00:14:28,960 Speaker 2: or communicating it. 265 00:14:29,360 --> 00:14:34,080 Speaker 1: Have you studied this? You know, it does feel as 266 00:14:34,120 --> 00:14:39,800 Speaker 1: if you know sort of how often the first is 267 00:14:39,840 --> 00:14:42,120 Speaker 1: it like when you register somebody for the first time 268 00:14:42,160 --> 00:14:45,400 Speaker 1: for your party? How you know what kind of stickiness 269 00:14:45,480 --> 00:14:47,880 Speaker 1: is that? Is that a ten year stick? Is that 270 00:14:47,920 --> 00:14:51,760 Speaker 1: a generational stick? Is that? Like, you know, have you 271 00:14:51,840 --> 00:14:55,160 Speaker 1: been able have you looked at this through generational prisms. 272 00:14:55,200 --> 00:14:57,600 Speaker 1: You know, I always it's fascinating to me that my 273 00:14:57,680 --> 00:15:04,040 Speaker 1: generations the most pro Trump Generation X, and I attribute 274 00:15:04,040 --> 00:15:06,600 Speaker 1: it to growing up Reagan, as I call it, right, 275 00:15:06,720 --> 00:15:09,880 Speaker 1: that that was our formative years were Reagan, right, that 276 00:15:10,040 --> 00:15:12,800 Speaker 1: was the president during when we were both from you know, 277 00:15:13,440 --> 00:15:16,000 Speaker 1: Nancy Reagan showing up on different strokes, and then you know, 278 00:15:16,200 --> 00:15:20,520 Speaker 1: it was just sort of it was there and economy 279 00:15:20,560 --> 00:15:22,640 Speaker 1: was pretty good, right, you know, it was in the 280 00:15:22,680 --> 00:15:24,680 Speaker 1: end of the Cold War, right, we won something. So 281 00:15:25,720 --> 00:15:28,080 Speaker 1: that's my explanation for it. But I have no idea 282 00:15:28,120 --> 00:15:31,040 Speaker 1: whether I'm just sort of going through my head and 283 00:15:31,080 --> 00:15:33,520 Speaker 1: sort of saying, well, you know, how much is that 284 00:15:33,680 --> 00:15:37,840 Speaker 1: early commitment to a party matter long term? 285 00:15:38,000 --> 00:15:42,920 Speaker 2: Yeah, it's incredibly important. And the phenomena that you mentioned, 286 00:15:42,960 --> 00:15:46,440 Speaker 2: or the theory that you that you just posited, is 287 00:15:46,440 --> 00:15:49,560 Speaker 2: actually something the political scientists have studied and shown that 288 00:15:49,680 --> 00:15:52,400 Speaker 2: who at present when you're in those formative years and 289 00:15:52,400 --> 00:15:54,720 Speaker 2: again will depend for the individual in terms of when 290 00:15:55,160 --> 00:15:57,800 Speaker 2: tuning into these things. But people talking about broadly the 291 00:15:57,840 --> 00:16:02,880 Speaker 2: culture with the somewhatous but certainly Ronald Reagan in the eighties, 292 00:16:02,920 --> 00:16:06,880 Speaker 2: as a member of Gen X, myself, it was ubiquitous 293 00:16:06,880 --> 00:16:13,680 Speaker 2: from a cultural perspective, And yeah, so the biggest impact 294 00:16:14,320 --> 00:16:17,640 Speaker 2: is your household composition in a lot of ways as well, 295 00:16:17,720 --> 00:16:19,480 Speaker 2: or at least maybe next in line. 296 00:16:27,320 --> 00:16:30,360 Speaker 1: There's a reason results matter more than promises, just like 297 00:16:30,440 --> 00:16:33,560 Speaker 1: there's a reason Morgan and Morgan is America's largest injury 298 00:16:33,600 --> 00:16:36,360 Speaker 1: law firm. For the last thirty five years, they've recovered 299 00:16:36,480 --> 00:16:39,640 Speaker 1: twenty five billion dollars for more than half a million clients. 300 00:16:40,200 --> 00:16:43,760 Speaker 1: It includes cases where insurance companies offered next to nothing, 301 00:16:44,040 --> 00:16:46,840 Speaker 1: just hoping to get away with paying as little as possible. 302 00:16:46,920 --> 00:16:50,000 Speaker 1: Morgan and Morgan fought back ended up winning millions. In fact, 303 00:16:50,080 --> 00:16:53,200 Speaker 1: in Pennsylvania, one client was awarded twenty six million dollars, 304 00:16:53,680 --> 00:16:56,720 Speaker 1: which was a staggering forty times the amount that the 305 00:16:56,760 --> 00:17:00,360 Speaker 1: insurance company originally offered. That original offer six hundred fifty 306 00:17:00,760 --> 00:17:03,640 Speaker 1: dollars twenty six million, six hundred and fifty thousand dollars. 307 00:17:03,640 --> 00:17:05,800 Speaker 1: So with more than a thousand lawyers across the country, 308 00:17:05,960 --> 00:17:08,560 Speaker 1: they know how to deliver for everyday people. If you're injured, 309 00:17:08,680 --> 00:17:11,240 Speaker 1: you need a lawyer, You need somebody to get your back. 310 00:17:11,680 --> 00:17:14,439 Speaker 1: Check out for the People dot Com, Slash podcast or 311 00:17:14,840 --> 00:17:20,040 Speaker 1: now Pound Law, Pound five two nine Law on your 312 00:17:20,040 --> 00:17:22,640 Speaker 1: cell phone. And remember all law firms are not the same. 313 00:17:22,720 --> 00:17:24,879 Speaker 1: So check out Morgan and Morgan. Their fee is free 314 00:17:25,119 --> 00:17:30,439 Speaker 1: unless they win. So what your. 315 00:17:30,320 --> 00:17:33,439 Speaker 2: Parents are, what your parents are has a huge impact. 316 00:17:33,480 --> 00:17:35,960 Speaker 2: Now I'll be curious to see if that holds. It 317 00:17:35,960 --> 00:17:39,320 Speaker 2: would suggest that maybe now that's less sticky. But wherever 318 00:17:39,600 --> 00:17:43,119 Speaker 2: to your original question. When someone registers with a party, 319 00:17:43,160 --> 00:17:46,240 Speaker 2: they tend to stay there and it takes time. Generally 320 00:17:46,280 --> 00:17:49,159 Speaker 2: they'll start voting the other way before they switch. And 321 00:17:49,200 --> 00:17:53,119 Speaker 2: so we talk about these ancestral Democrats in places like 322 00:17:53,200 --> 00:17:55,080 Speaker 2: West Virginia throughout the show. 323 00:17:55,160 --> 00:17:57,679 Speaker 1: Let's just say it, that's the last spot of the 324 00:17:57,760 --> 00:18:01,720 Speaker 1: generational Democrats as Appalachia. Right, It's like in tucky West Virginia. 325 00:18:01,760 --> 00:18:05,359 Speaker 1: It's like the last Southern Ohio. I don't feel like 326 00:18:05,440 --> 00:18:07,000 Speaker 1: you have it in the Deep South anymore. 327 00:18:07,080 --> 00:18:09,399 Speaker 2: You don't know they're gone. They're gone at this point, 328 00:18:09,560 --> 00:18:12,560 Speaker 2: and they are going. You know, Pennsylvania actually produces data 329 00:18:12,560 --> 00:18:14,800 Speaker 2: on party switchers on a very regular basis, and you 330 00:18:14,840 --> 00:18:17,560 Speaker 2: see it's still happening too, and it's. 331 00:18:17,440 --> 00:18:21,040 Speaker 1: All Appalachia like areas like Western Pa. 332 00:18:21,240 --> 00:18:23,960 Speaker 2: Yeah, that's right, you know, in Pennsylvania's fascinating to me 333 00:18:24,000 --> 00:18:26,760 Speaker 2: because again you mentioned the success the Republicans had. They 334 00:18:26,800 --> 00:18:30,000 Speaker 2: had massive investment in part of the registration there, not 335 00:18:30,119 --> 00:18:32,080 Speaker 2: just in twenty twenty four, but going back four or 336 00:18:32,080 --> 00:18:35,080 Speaker 2: five years before that with great success. What's interesting to 337 00:18:35,119 --> 00:18:36,800 Speaker 2: me is if you look at this moment now, they 338 00:18:36,840 --> 00:18:39,119 Speaker 2: have some court races there that maybe aren't getting in 339 00:18:39,160 --> 00:18:42,840 Speaker 2: a lot of attention nationally, but are in Pennsylvania and 340 00:18:42,880 --> 00:18:47,520 Speaker 2: are incredibly important in a lot of ways. And Democrats 341 00:18:47,560 --> 00:18:51,320 Speaker 2: are actually doing among new registrants, are actually doing better 342 00:18:51,359 --> 00:18:53,879 Speaker 2: than they did four and even eight years ago. So 343 00:18:53,920 --> 00:18:58,080 Speaker 2: it's something that I'm looking at. They're not doing much better, 344 00:18:58,080 --> 00:19:00,160 Speaker 2: but they're doing a point or two better. Which is 345 00:19:00,160 --> 00:19:02,720 Speaker 2: this a bit of a turnaround. I don't know, but it's. 346 00:19:02,600 --> 00:19:05,240 Speaker 1: It's Shapiro related. I mean, he's a popular governor. 347 00:19:05,359 --> 00:19:09,200 Speaker 2: Right, That's a big part of it. But an important 348 00:19:09,240 --> 00:19:14,920 Speaker 2: point here is even with that happening, the net numbers 349 00:19:15,000 --> 00:19:17,320 Speaker 2: are still getting worse for Democrats. Part of it is 350 00:19:17,359 --> 00:19:20,400 Speaker 2: because of who is being removed from the file to 351 00:19:20,440 --> 00:19:22,680 Speaker 2: put it in a passway, which part of that is death. 352 00:19:22,800 --> 00:19:24,480 Speaker 2: Part of that is people moving out of the states. 353 00:19:24,520 --> 00:19:27,320 Speaker 2: Part of that is purging, but that's generally negative. The 354 00:19:27,320 --> 00:19:29,800 Speaker 2: people who are in their eighties are actually more democratic 355 00:19:30,040 --> 00:19:33,200 Speaker 2: than not. People who get purged off the file tend 356 00:19:33,240 --> 00:19:36,400 Speaker 2: to be more Democrats. So Republicans are still actually gaining 357 00:19:36,560 --> 00:19:39,200 Speaker 2: in the net there, even while Democrats are doing better 358 00:19:39,800 --> 00:19:42,520 Speaker 2: among new registrants. So another thing to keep an eye on. 359 00:19:43,160 --> 00:19:46,080 Speaker 1: In twenty twelve after that election, and I feel like 360 00:19:46,119 --> 00:19:48,840 Speaker 1: the most prominent person making this argument was Tom I 361 00:19:48,880 --> 00:19:51,359 Speaker 1: think that Tom Bevan over real clear that there was 362 00:19:51,400 --> 00:19:54,000 Speaker 1: a missing white vote, that there was this chunk of 363 00:19:54,040 --> 00:19:57,400 Speaker 1: people not voting, and that was the explanation for why 364 00:19:57,560 --> 00:20:03,679 Speaker 1: Romney so underperformed, particularly in certain place. I was a 365 00:20:03,680 --> 00:20:07,320 Speaker 1: bit skeptical, and I think some people were, And then 366 00:20:07,359 --> 00:20:11,280 Speaker 1: twenty sixteen happened, and then twenty happened, at twenty twenty 367 00:20:11,320 --> 00:20:15,040 Speaker 1: four happened, and you can't help but wonder how much 368 00:20:15,160 --> 00:20:20,080 Speaker 1: of the Trump gain is missing. Is voters that weren't participating, 369 00:20:20,840 --> 00:20:23,960 Speaker 1: say in the first twelve years of this century, versus 370 00:20:24,880 --> 00:20:25,840 Speaker 1: those that switched. 371 00:20:26,520 --> 00:20:31,560 Speaker 2: Yeah, yeah, it's a big part of it. I mean, obviously, 372 00:20:31,600 --> 00:20:34,560 Speaker 2: the entire equation has changed so radically from twenty twelve 373 00:20:34,560 --> 00:20:36,560 Speaker 2: that it's hard to point the one thing right because 374 00:20:36,560 --> 00:20:40,280 Speaker 2: we've seen that these voters who were more consistent, voting, 375 00:20:41,000 --> 00:20:45,960 Speaker 2: better educated. Again, traditionally Republican voters voted for Romney in 376 00:20:46,000 --> 00:20:48,320 Speaker 2: twenty twelve, voted for mckimal tom. 377 00:20:48,359 --> 00:20:50,639 Speaker 1: I live in the last Romney precinct of Arlington, as 378 00:20:50,640 --> 00:20:52,720 Speaker 1: I call it there you go right, you know, And 379 00:20:52,760 --> 00:20:55,320 Speaker 1: they haven't voted Republicans since in this area, you know. 380 00:20:56,080 --> 00:20:59,120 Speaker 1: And so then I wouldn't call them liberal democrats. 381 00:20:58,760 --> 00:21:03,520 Speaker 2: No, by noting, but those voters have voted, They likely 382 00:21:03,600 --> 00:21:07,400 Speaker 2: voted for Clinton, They almost certainly voted for Biden and 383 00:21:07,440 --> 00:21:10,000 Speaker 2: Fort Harris. These are the voters who are voting in 384 00:21:10,040 --> 00:21:14,000 Speaker 2: these lower turnout elections. That's the reason why, fairly well documented, 385 00:21:14,040 --> 00:21:16,680 Speaker 2: the Democrats are doing better in these lower turnout especially 386 00:21:16,680 --> 00:21:19,120 Speaker 2: these special elections that used to be the great advantage 387 00:21:19,160 --> 00:21:22,639 Speaker 2: for Republicans and that has turned on its head. And 388 00:21:22,720 --> 00:21:26,480 Speaker 2: so yeah, there are more of these lower turnout white 389 00:21:26,520 --> 00:21:29,320 Speaker 2: voters who are coming out when Trump is on the ballot. 390 00:21:29,440 --> 00:21:32,920 Speaker 2: They didn't come out in twenty eighteen. Not enough of 391 00:21:32,960 --> 00:21:35,400 Speaker 2: them came out twenty twenty two to have a red 392 00:21:35,400 --> 00:21:39,840 Speaker 2: wave election. We'll see what happens this year in New Jersey, 393 00:21:40,800 --> 00:21:43,920 Speaker 2: in Virginia and Pennsylvania and other places. See what happens 394 00:21:43,960 --> 00:21:46,000 Speaker 2: next year. But the other element of this that we've 395 00:21:46,040 --> 00:21:52,240 Speaker 2: been talking about is Republican improvements among younger voters, especially 396 00:21:52,320 --> 00:21:55,000 Speaker 2: younger voters of coloring, younger white men, and so I 397 00:21:55,040 --> 00:21:56,879 Speaker 2: don't know that you can count those in terms of 398 00:21:56,920 --> 00:22:01,399 Speaker 2: the missing white vote. Sure, these voters who demographically generally 399 00:22:01,400 --> 00:22:04,080 Speaker 2: would be a smaller share of the electorate and now 400 00:22:04,200 --> 00:22:08,639 Speaker 2: have been ascendant under Trump. I will say, when you 401 00:22:08,680 --> 00:22:11,359 Speaker 2: look at the polling numbers now and you look at 402 00:22:11,520 --> 00:22:14,760 Speaker 2: what drives Trump's, you know, reasonably good numbers when he 403 00:22:14,800 --> 00:22:17,200 Speaker 2: was elected and when he was inaugurated to where they 404 00:22:17,280 --> 00:22:20,119 Speaker 2: quickly went. The voters who dropped the most were these 405 00:22:20,119 --> 00:22:22,400 Speaker 2: same voters who swung the most towards him. So these 406 00:22:22,440 --> 00:22:25,640 Speaker 2: younger now have overwhelmingly negative numbers. But like I said 407 00:22:25,680 --> 00:22:28,720 Speaker 2: a few minutes ago, when you look at the partisan registration, 408 00:22:28,840 --> 00:22:32,320 Speaker 2: younger white men are still registering overwhelmingly Republican, which tells 409 00:22:32,359 --> 00:22:36,320 Speaker 2: me Republicans are doing the nuts and bolts, blocking and tackling, 410 00:22:36,880 --> 00:22:39,720 Speaker 2: doing the registration at the local level and holding on 411 00:22:39,840 --> 00:22:40,880 Speaker 2: to some of those margins. 412 00:22:42,880 --> 00:22:45,480 Speaker 1: If the Democratic Party pointed to one thing, do they 413 00:22:45,520 --> 00:22:48,399 Speaker 1: have a do they have a base problem or a 414 00:22:48,440 --> 00:22:51,440 Speaker 1: persuasion problem. 415 00:22:52,240 --> 00:22:56,400 Speaker 2: Well, look, time will tell. I mean, from from both perspectives, 416 00:22:56,480 --> 00:22:59,120 Speaker 2: I think Democrats feel better about where they are now 417 00:22:59,200 --> 00:23:04,800 Speaker 2: in terms of of Trump's popularity. But I think there's 418 00:23:04,880 --> 00:23:07,680 Speaker 2: two parts to this equation, right, there's how well will 419 00:23:07,720 --> 00:23:12,159 Speaker 2: Democrats do in the elections happening next month and then 420 00:23:12,200 --> 00:23:15,960 Speaker 2: the elections next year just based on an anti Trump, 421 00:23:16,080 --> 00:23:19,119 Speaker 2: anti Republican sentiment which history would tell us, and we 422 00:23:19,119 --> 00:23:22,200 Speaker 2: don't have to go back any further team bit Historically, 423 00:23:22,320 --> 00:23:23,800 Speaker 2: we could go back as far as we want and 424 00:23:24,080 --> 00:23:26,679 Speaker 2: find Democrats should do quite well in these elections just 425 00:23:26,800 --> 00:23:30,840 Speaker 2: because of anti incumbency and especially because of Trump and 426 00:23:30,880 --> 00:23:34,439 Speaker 2: his little popularity numbers. To me, the big question is 427 00:23:34,600 --> 00:23:37,959 Speaker 2: are Democrats able to connect the dots and give voters 428 00:23:37,960 --> 00:23:40,560 Speaker 2: a reason to vote for them? From the positive case, 429 00:23:40,680 --> 00:23:44,399 Speaker 2: can we get to the point where people feel better 430 00:23:44,560 --> 00:23:47,399 Speaker 2: about the Democrat Party, where more people are associating and 431 00:23:47,440 --> 00:23:50,440 Speaker 2: affiliating with the Democratic Party. Why I'm watching these voter 432 00:23:50,520 --> 00:23:54,040 Speaker 2: registration numbers so closely now, because that's where you would 433 00:23:54,080 --> 00:23:57,000 Speaker 2: expect to see it first before the election, is more 434 00:23:57,040 --> 00:24:01,879 Speaker 2: people when they goybe it's just they're getting their driver's license. 435 00:24:01,880 --> 00:24:06,200 Speaker 2: Maybe it's not even effort to voter registration, but they 436 00:24:06,240 --> 00:24:08,600 Speaker 2: have a few boxes they could check. And right now, 437 00:24:09,000 --> 00:24:13,000 Speaker 2: those younger voters are overwhelmingly just say unaffiliated, just as 438 00:24:13,000 --> 00:24:15,720 Speaker 2: they did a year ago, three years ago, years ago. 439 00:24:16,400 --> 00:24:21,040 Speaker 2: And so for Democrats to really be able to maximize 440 00:24:22,640 --> 00:24:25,920 Speaker 2: their potential and these upcoming elections, I think that's where 441 00:24:25,960 --> 00:24:27,760 Speaker 2: you're going to see it. It's them being able to 442 00:24:27,760 --> 00:24:30,640 Speaker 2: build that positive and so to me, it's both. It's 443 00:24:30,720 --> 00:24:35,800 Speaker 2: it's persuasion and it's persuading the people to get to 444 00:24:35,840 --> 00:24:39,400 Speaker 2: the point where they enter that mobilization category where they're 445 00:24:39,440 --> 00:24:41,879 Speaker 2: going to be turnout targets for Democratic compaints. 446 00:24:42,359 --> 00:24:46,480 Speaker 1: Do you think the Democrats are resting almost counting too 447 00:24:46,560 --> 00:24:49,159 Speaker 1: much on Trump voters not showing up when Trump's not 448 00:24:49,160 --> 00:24:51,919 Speaker 1: on the ballot, Like it, It's sort of like I 449 00:24:51,960 --> 00:24:54,320 Speaker 1: hear this talk all the time, Well, Democrats will be fine, 450 00:24:54,320 --> 00:24:58,600 Speaker 1: and it may actually be a way of reason to 451 00:24:58,880 --> 00:25:02,760 Speaker 1: sort of no matter, you know, be careful thinking twenty 452 00:25:03,200 --> 00:25:06,320 Speaker 1: twenty six if it goes well for Democrats is somehow 453 00:25:06,320 --> 00:25:10,520 Speaker 1: a harbinger for twenty eight considering if quote unquote the 454 00:25:10,520 --> 00:25:15,600 Speaker 1: Trump voter just simply doesn't show up again for midterms, 455 00:25:16,359 --> 00:25:19,760 Speaker 1: they know this too, right, They know they have this problem, 456 00:25:19,760 --> 00:25:21,280 Speaker 1: and it does sound as if they're going to make 457 00:25:21,359 --> 00:25:23,760 Speaker 1: more of an effort to see if they can they 458 00:25:23,800 --> 00:25:26,560 Speaker 1: can get these voters more engaged in elections that don't 459 00:25:26,600 --> 00:25:33,320 Speaker 1: involve Trump. Do you let me tell you what. I 460 00:25:33,400 --> 00:25:37,480 Speaker 1: sense that Democrats are almost counting on this phenomenon, and 461 00:25:37,600 --> 00:25:41,200 Speaker 1: I would be weary of counting on the phenomenon given 462 00:25:41,240 --> 00:25:42,679 Speaker 1: how much money they're throwing at this. 463 00:25:43,960 --> 00:25:46,439 Speaker 2: Yeah. Look, that's a hard one to read in terms 464 00:25:46,440 --> 00:25:50,760 Speaker 2: of what's happening tactically on the ground. I do think that, 465 00:25:51,000 --> 00:25:52,960 Speaker 2: you know, again, based on the history, You're right, the 466 00:25:53,000 --> 00:25:55,720 Speaker 2: Democrats are looking at this and making a calculus that 467 00:25:55,880 --> 00:25:58,800 Speaker 2: in the end, historically these voters haven't come out with 468 00:25:58,920 --> 00:26:02,720 Speaker 2: Donald Trump is not on the ballot, so therefore we 469 00:26:02,760 --> 00:26:05,239 Speaker 2: should do better. And you know, the special elections so 470 00:26:05,440 --> 00:26:08,000 Speaker 2: far have proven that true. 471 00:26:08,280 --> 00:26:12,639 Speaker 1: Look very so, everything looks similar to twenty seventeen except 472 00:26:12,680 --> 00:26:15,920 Speaker 1: the Democratic parties unfavorable ready. Yeah, but like if that's 473 00:26:15,960 --> 00:26:18,520 Speaker 1: the one thing that's different, it's much higher, that's. 474 00:26:18,400 --> 00:26:20,560 Speaker 2: Right, And that's why I think. You know, obviously, Democrats 475 00:26:20,560 --> 00:26:24,160 Speaker 2: has been going very hard on healthcare during this shutdown, 476 00:26:24,160 --> 00:26:27,479 Speaker 2: and that to me tells me that they are making 477 00:26:27,520 --> 00:26:31,240 Speaker 2: an effort to appeal not just to the mobilization universe, 478 00:26:31,280 --> 00:26:33,920 Speaker 2: not that the audience doesn't want to hear that message, 479 00:26:33,920 --> 00:26:35,639 Speaker 2: but to those swing voters. I mean, when they have 480 00:26:36,520 --> 00:26:40,000 Speaker 2: a message that Marjorie Taylor Green is agreeing with, suggest 481 00:26:40,080 --> 00:26:42,600 Speaker 2: there's something there and there's an opportunity and an effort 482 00:26:42,640 --> 00:26:46,359 Speaker 2: to appeal to these swing voters who likely voted for 483 00:26:46,480 --> 00:26:51,199 Speaker 2: Trump last year but are potentially part of that. You know, 484 00:26:51,280 --> 00:26:56,000 Speaker 2: maybe fifteen well, let's say fifteen percent of the country 485 00:26:56,040 --> 00:26:59,640 Speaker 2: who voted for him felt favorably about when he took 486 00:26:59,640 --> 00:27:01,360 Speaker 2: off and don't feel that way now. 487 00:27:02,640 --> 00:27:07,320 Speaker 1: When you hear Democrats have a brand problem, what is 488 00:27:07,359 --> 00:27:10,360 Speaker 1: it that the problem is that people don't know what 489 00:27:10,400 --> 00:27:13,679 Speaker 1: the party does stand for, or that people do know 490 00:27:13,720 --> 00:27:15,320 Speaker 1: what the party stands for and they don't like it. 491 00:27:16,280 --> 00:27:19,760 Speaker 1: How do you view the quote brand problem? Is it 492 00:27:19,840 --> 00:27:24,439 Speaker 1: just not not very well defined or frankly defined in 493 00:27:24,480 --> 00:27:25,360 Speaker 1: an unpopular way. 494 00:27:25,720 --> 00:27:27,919 Speaker 2: You know, look, I'm a numbers guy, not a policy 495 00:27:28,000 --> 00:27:29,639 Speaker 2: or a messaging guy. But when you look at the 496 00:27:29,760 --> 00:27:33,280 Speaker 2: numbers from the twenty four election again, you look at 497 00:27:33,280 --> 00:27:36,359 Speaker 2: the exit polls, you look at the Navigator survey, there 498 00:27:36,760 --> 00:27:39,880 Speaker 2: was a big problem in terms of awareness of issues. 499 00:27:40,000 --> 00:27:45,080 Speaker 2: You looked at sort of the four signature legislative accomplishments 500 00:27:45,080 --> 00:27:48,200 Speaker 2: of President Biden in Democrats while he was in and 501 00:27:48,720 --> 00:27:51,600 Speaker 2: in each of those a navigator tested this a majority. 502 00:27:51,760 --> 00:27:55,080 Speaker 2: In some cases over sixty percent of Americans said they 503 00:27:55,119 --> 00:27:58,360 Speaker 2: didn't know anything about them. And then a real kick 504 00:27:58,400 --> 00:28:02,040 Speaker 2: in the pants for Democrats. More independent voters said that 505 00:28:02,160 --> 00:28:08,040 Speaker 2: Donald Trump did more on infrastructure when in office than 506 00:28:08,240 --> 00:28:09,320 Speaker 2: Joe Biden did. 507 00:28:09,320 --> 00:28:12,120 Speaker 1: So just by saying Infrastructure week. Even though it failed, 508 00:28:12,520 --> 00:28:13,280 Speaker 1: it stuck. 509 00:28:13,800 --> 00:28:17,240 Speaker 2: So in our very online circle, that was the meme, right, 510 00:28:17,280 --> 00:28:19,920 Speaker 2: that was a running joke, Oh it's infrastructure. 511 00:28:19,680 --> 00:28:22,199 Speaker 1: Right, And yet it turned out people have thought, oh 512 00:28:22,240 --> 00:28:24,120 Speaker 1: that Donald Trump cares about infrastructure. 513 00:28:24,480 --> 00:28:27,439 Speaker 2: That's exactly right. I mean, that's what bubble making up 514 00:28:27,520 --> 00:28:28,280 Speaker 2: the others. 515 00:28:29,320 --> 00:28:33,439 Speaker 1: So you believe it is a it's an awareness, So 516 00:28:33,480 --> 00:28:37,800 Speaker 1: it's sort of it's more message penetration. The message itself 517 00:28:37,920 --> 00:28:41,080 Speaker 1: might be working if it if they knew how to. 518 00:28:42,640 --> 00:28:45,640 Speaker 1: So this would be a marketing problem. Is as much 519 00:28:45,640 --> 00:28:47,080 Speaker 1: as you may have a good brand, but if you 520 00:28:47,080 --> 00:28:49,960 Speaker 1: don't market it correctly, nobody knows your brand. Well. 521 00:28:50,400 --> 00:28:52,080 Speaker 2: Yeah, you know, I think there's two ways to look 522 00:28:52,080 --> 00:28:54,360 Speaker 2: at this question. One is the previous four years when 523 00:28:54,480 --> 00:28:56,680 Speaker 2: when when Democrats were in power, at least in the 524 00:28:56,680 --> 00:28:59,440 Speaker 2: White House. And then there's the question of now where 525 00:28:59,480 --> 00:29:02,320 Speaker 2: Democrats don't control anything, and I think there's you know 526 00:29:02,440 --> 00:29:05,000 Speaker 2: that has always been a challenge for the party that 527 00:29:05,120 --> 00:29:07,280 Speaker 2: is out of power, and how do you find your 528 00:29:07,280 --> 00:29:09,640 Speaker 2: own proactive agenda. I mean, we can go back to 529 00:29:10,240 --> 00:29:13,120 Speaker 2: nineteen four in the Contract with America and New Gingrich 530 00:29:13,160 --> 00:29:16,800 Speaker 2: and now Republicans successfully we're able to brand some type 531 00:29:16,840 --> 00:29:20,520 Speaker 2: of actual agenda. I think that's a lot more challenging 532 00:29:20,560 --> 00:29:23,600 Speaker 2: in the issue environment and just the media consumption environment 533 00:29:23,640 --> 00:29:26,160 Speaker 2: where in now to get voters to pay attention to 534 00:29:26,200 --> 00:29:28,480 Speaker 2: these things. I think the shutdown again we see Democrats 535 00:29:28,480 --> 00:29:31,800 Speaker 2: talking more specifically about healthcare is a good step in 536 00:29:31,840 --> 00:29:34,160 Speaker 2: that direction. I just think it's much more challenging these 537 00:29:34,240 --> 00:29:37,960 Speaker 2: days to get that proactive positive environment message out there, 538 00:29:38,160 --> 00:29:40,920 Speaker 2: an agenda out there, when in the end Democrats don't 539 00:29:40,920 --> 00:29:43,560 Speaker 2: have the ability to really move any of this forward. 540 00:29:44,040 --> 00:29:47,560 Speaker 1: All right, I want to geek out, do geek out 541 00:29:47,560 --> 00:29:54,480 Speaker 1: on some states, and so you know, there's you look 542 00:29:54,520 --> 00:30:00,160 Speaker 1: at the you look at the seven swing states and 543 00:30:00,280 --> 00:30:02,360 Speaker 1: is it in your head a hard seven, meaning you 544 00:30:02,440 --> 00:30:08,640 Speaker 1: got the three Midwestern states right, Pennsylvania, Wisconsin, Michigan. Then 545 00:30:08,640 --> 00:30:12,280 Speaker 1: you got the sun Belt states of Arizona, Nevada, Georgia, 546 00:30:12,320 --> 00:30:17,800 Speaker 1: North Carolina. Is there is is eight closer to seven? 547 00:30:18,200 --> 00:30:21,120 Speaker 1: I you New Hampshire, or is eight closer than to nine? 548 00:30:21,240 --> 00:30:23,520 Speaker 1: You see what I mean? Is it those seven and 549 00:30:23,600 --> 00:30:26,400 Speaker 1: everybody else? Or do you think there's a couple other 550 00:30:26,440 --> 00:30:29,680 Speaker 1: states still sort of you know, on the outside looking 551 00:30:29,720 --> 00:30:32,520 Speaker 1: in they could jump into the to the battleground map. 552 00:30:32,640 --> 00:30:35,120 Speaker 2: Yeah. You know, if you wanted to look at obviously 553 00:30:35,160 --> 00:30:37,400 Speaker 2: the map and where states were moving in twenty twenty 554 00:30:37,440 --> 00:30:39,920 Speaker 2: four relative to twenty twenty, you had a handful of 555 00:30:39,920 --> 00:30:42,800 Speaker 2: states that I think you would have a very strong 556 00:30:42,880 --> 00:30:46,600 Speaker 2: argument for saying, you know, they shouldn't be considered swing 557 00:30:46,640 --> 00:30:49,400 Speaker 2: states in any sense, but they were getting closer. New 558 00:30:49,400 --> 00:30:51,200 Speaker 2: Hampshire was one of them. Yet Minnesota. 559 00:30:51,240 --> 00:30:53,959 Speaker 1: Look, even Minnesota has been sitting there on the costpy. 560 00:30:54,040 --> 00:30:55,720 Speaker 1: I have you Minnesota the way I've viewed New Jersey. 561 00:30:55,720 --> 00:30:59,240 Speaker 1: For Republicans, it always it's always close. But Charlie Brown, 562 00:30:59,360 --> 00:31:01,280 Speaker 1: you know Lucy Wis both of football. 563 00:31:00,960 --> 00:31:03,000 Speaker 2: Well well, and for them it'd be there. You know, 564 00:31:03,120 --> 00:31:06,200 Speaker 2: three three hundred and fortieth electoral vote. It's not really 565 00:31:06,200 --> 00:31:09,920 Speaker 2: relevant from a strategic perspective, right, And so no, I 566 00:31:10,200 --> 00:31:11,920 Speaker 2: you know, I think at this point the seven states 567 00:31:11,920 --> 00:31:14,520 Speaker 2: are fairly solidified, at least if we're looking at the 568 00:31:14,560 --> 00:31:18,080 Speaker 2: next couple of years here. Obviously it will continue to evolve. 569 00:31:18,240 --> 00:31:23,080 Speaker 2: Democrats have have been interested in Texas and Florida for 570 00:31:23,120 --> 00:31:25,160 Speaker 2: a long time for obviously, you know, to put those 571 00:31:25,160 --> 00:31:27,560 Speaker 2: two in the same category, it's somewhat unfair given that 572 00:31:27,960 --> 00:31:32,280 Speaker 2: Democrats have won Florida and not too distant at least 573 00:31:32,280 --> 00:31:36,160 Speaker 2: in our lifetime, right, And at this point they're moving 574 00:31:36,200 --> 00:31:41,200 Speaker 2: in different directions, so, you know, for various reasons. So 575 00:31:41,320 --> 00:31:43,400 Speaker 2: you know, Texas will always be part of the conversation 576 00:31:43,520 --> 00:31:46,920 Speaker 2: for Democrats, at least further out from election day. 577 00:31:47,920 --> 00:31:52,840 Speaker 1: But you're you're more pessimistic on Florida solidified? Are you 578 00:31:52,880 --> 00:31:55,400 Speaker 1: more pessimistic on Florida versus Texas if you were to pick. 579 00:31:55,280 --> 00:31:58,960 Speaker 2: One, Yeah, I am. I mean, look, you had just 580 00:31:59,080 --> 00:32:02,200 Speaker 2: negative trends there. I think Democrats can still win there, 581 00:32:02,360 --> 00:32:07,000 Speaker 2: especially in the sort of dynamic we have now without 582 00:32:07,080 --> 00:32:11,760 Speaker 2: Trump on the ballot in a midterm election, Democrats would 583 00:32:11,800 --> 00:32:14,480 Speaker 2: have a chance there. In the presidential election. I think 584 00:32:14,480 --> 00:32:17,160 Speaker 2: it's more challenging. You know, it's not only just been 585 00:32:17,240 --> 00:32:20,560 Speaker 2: sort of a persuasion element, and you know, who is 586 00:32:20,600 --> 00:32:23,800 Speaker 2: the Democratic standard bear for full Floridians where they look 587 00:32:23,800 --> 00:32:27,440 Speaker 2: at identify with that party. I think that's been a challenge. 588 00:32:27,760 --> 00:32:32,920 Speaker 2: But just out migration, the migration patterns have just been 589 00:32:33,160 --> 00:32:36,560 Speaker 2: very difficult for Democrats. Where you've had Democrats movment, especially 590 00:32:36,640 --> 00:32:39,360 Speaker 2: during the pandemic, moving out of the state, and that 591 00:32:39,520 --> 00:32:41,080 Speaker 2: seems to continue. 592 00:32:41,120 --> 00:32:45,360 Speaker 1: Where really Democrats are moving out and Northeast Republicans are moving. 593 00:32:45,200 --> 00:32:50,520 Speaker 2: In basically not just Northeast, but yeah, yeah, Midwest. 594 00:32:53,160 --> 00:32:55,720 Speaker 1: So if you take the seven battleground states and you 595 00:32:55,800 --> 00:33:00,120 Speaker 1: take Kamala Harris's states and you put them together, the 596 00:33:00,240 --> 00:33:03,160 Speaker 1: max number of Senate seats that Democrats could win as 597 00:33:03,200 --> 00:33:08,720 Speaker 1: fifty two. What that tells you is they've got very 598 00:33:08,720 --> 00:33:10,840 Speaker 1: little margin for ayer if they want to be competitive 599 00:33:11,560 --> 00:33:16,880 Speaker 1: in the Senate. Now, look, both parties were so polarized, 600 00:33:16,920 --> 00:33:19,480 Speaker 1: both parties are sort of it's very difficult to win 601 00:33:19,520 --> 00:33:23,720 Speaker 1: a Senate seat these days. In the other side state right, 602 00:33:23,920 --> 00:33:28,480 Speaker 1: it's you know, Susan Collins and is probably the last 603 00:33:28,560 --> 00:33:31,200 Speaker 1: Republican that will represent me, But you know, at least 604 00:33:31,400 --> 00:33:34,040 Speaker 1: at least for the foreseeable future. She may represent it 605 00:33:34,080 --> 00:33:36,560 Speaker 1: another six years for all we know, but she's probably 606 00:33:36,600 --> 00:33:39,800 Speaker 1: the last of her come. So the question that Democrats 607 00:33:39,800 --> 00:33:41,440 Speaker 1: have to do, they have to figure out how to 608 00:33:41,520 --> 00:33:46,880 Speaker 1: at least have I would argue another four to six 609 00:33:46,920 --> 00:33:49,200 Speaker 1: states where they can win Senate seats. Maybe they can't 610 00:33:49,240 --> 00:33:51,560 Speaker 1: win it into presidential, but they've got to be able 611 00:33:51,600 --> 00:33:55,160 Speaker 1: to compete in senate races. What are those next four 612 00:33:55,160 --> 00:33:59,280 Speaker 1: to six that you think Democrats ought to be pre mean, 613 00:33:59,320 --> 00:34:01,280 Speaker 1: if they want to be competitive in the Senate, they 614 00:34:01,280 --> 00:34:04,240 Speaker 1: got to start prioritizing. Now I've got some in my head, 615 00:34:04,280 --> 00:34:06,440 Speaker 1: but I don't want to. I don't want to poison 616 00:34:06,840 --> 00:34:09,280 Speaker 1: poison the conversation. So I'm curious where you go first. 617 00:34:09,440 --> 00:34:11,399 Speaker 2: Well, well, it's a question of if you're looking at 618 00:34:11,400 --> 00:34:14,319 Speaker 2: this from a demographic and sort of political trend perspective 619 00:34:14,480 --> 00:34:18,719 Speaker 2: versus h you know, the actual opportunities in the individual candidate, right, 620 00:34:18,760 --> 00:34:21,160 Speaker 2: like we saw what, Yeah, you could make both. 621 00:34:20,960 --> 00:34:22,600 Speaker 1: Because I look at an Ohio and I don't think 622 00:34:22,600 --> 00:34:25,080 Speaker 1: there's much of a chance in Ohio. But Sharon Brown 623 00:34:25,440 --> 00:34:29,239 Speaker 1: is an overperformer. So in this specific instance, accept the 624 00:34:29,239 --> 00:34:32,040 Speaker 1: premise that Ohio this year is going to be competitive. 625 00:34:32,120 --> 00:34:36,879 Speaker 1: I'm skeptical, but obviously he's been a you know the guy, 626 00:34:37,239 --> 00:34:41,319 Speaker 1: the guy won nearly eight years ago. So yeah, no, 627 00:34:41,400 --> 00:34:41,759 Speaker 1: that's right. 628 00:34:41,760 --> 00:34:44,640 Speaker 2: I mean, look from the actual demographic trends and where 629 00:34:44,680 --> 00:34:48,480 Speaker 2: states have gone under Donald Trump. Like bizarrely, Utah is 630 00:34:48,560 --> 00:34:51,000 Speaker 2: one of those states that stands out there's actually underperformed 631 00:34:51,040 --> 00:34:53,640 Speaker 2: for Republicans, it's underperformed for Trump. It's one that has 632 00:34:53,719 --> 00:34:57,160 Speaker 2: trended and actually does have somewhat favorable demographic trends. You 633 00:34:57,200 --> 00:34:59,120 Speaker 2: have a big question that you have to ask yourself 634 00:34:59,160 --> 00:35:01,200 Speaker 2: if you're trying to answer this is where do you 635 00:35:01,239 --> 00:35:04,960 Speaker 2: think Latino voters go? Obviously Donald Trump has driven a 636 00:35:05,080 --> 00:35:09,960 Speaker 2: huge over performance with Republicans among Latino voters. Do you 637 00:35:09,960 --> 00:35:13,279 Speaker 2: believe that's something that is just related to Trump? How 638 00:35:13,320 --> 00:35:16,719 Speaker 2: do you see what's happening with the mass de patients 639 00:35:16,760 --> 00:35:19,879 Speaker 2: and very public authoritarian acts advice out there? How does 640 00:35:19,920 --> 00:35:23,040 Speaker 2: that impact that vote? Because in the end, again Utah 641 00:35:23,080 --> 00:35:29,520 Speaker 2: has a quick, fast growing Latino population. Texas obviously is 642 00:35:29,520 --> 00:35:31,760 Speaker 2: a big part of that conversation and will be tested 643 00:35:32,200 --> 00:35:37,359 Speaker 2: and next year in terms of where we are. But again, 644 00:35:37,400 --> 00:35:41,919 Speaker 2: if you look at opportunities. I agree Ohio, just from 645 00:35:42,000 --> 00:35:46,400 Speaker 2: Shared Brown as someone who is a performer there with 646 00:35:46,520 --> 00:35:50,640 Speaker 2: a much more hostile environment for Republicans and Donald Trump 647 00:35:50,760 --> 00:35:52,839 Speaker 2: not on the ballot, you have to believe he has 648 00:35:52,880 --> 00:35:57,879 Speaker 2: a very good chance to win there. But look, you're right, 649 00:35:57,920 --> 00:36:01,239 Speaker 2: I mean the number of opportunity for Democrats above and 650 00:36:01,400 --> 00:36:04,720 Speaker 2: beyond those states the Vice President harrisone or those swing 651 00:36:04,840 --> 00:36:07,879 Speaker 2: states you know there are few and far between. Again, 652 00:36:07,920 --> 00:36:09,360 Speaker 2: that's where you have to look at things like what 653 00:36:09,480 --> 00:36:14,879 Speaker 2: happened and in Nebraska where you had Osborne money as an. 654 00:36:14,800 --> 00:36:30,440 Speaker 1: Independent, is that a better stre I mean you look 655 00:36:30,480 --> 00:36:33,400 Speaker 1: at the plain states, right, you look at the northern 656 00:36:33,480 --> 00:36:37,120 Speaker 1: tier where it wasn't that long ago where you had 657 00:36:37,400 --> 00:36:41,760 Speaker 1: two Democratic senators from North Dakota for a brief period, 658 00:36:41,840 --> 00:36:44,839 Speaker 1: for every reasonable period of time, two Democratic senators from 659 00:36:44,840 --> 00:36:51,360 Speaker 1: South Dakota, two Democratic senators in Montana. Is that lost 660 00:36:51,560 --> 00:36:54,560 Speaker 1: for a generation or does that? Or is it that? 661 00:36:55,000 --> 00:36:58,520 Speaker 1: And is that a Democratic brand issue or is it 662 00:36:58,560 --> 00:37:01,120 Speaker 1: an issue? Is it? Is it like a specific issue 663 00:37:01,120 --> 00:37:02,560 Speaker 1: that the problem that Democrats have? 664 00:37:03,200 --> 00:37:05,520 Speaker 2: Yes, I don't know. I think we'll get a good 665 00:37:05,560 --> 00:37:07,239 Speaker 2: sense of that next year. The question is, you know, 666 00:37:07,280 --> 00:37:11,480 Speaker 2: can Democrats recruit and run populist candidates who are not 667 00:37:11,680 --> 00:37:14,279 Speaker 2: connected to the negative brand of the party. Obviously, the 668 00:37:14,280 --> 00:37:16,480 Speaker 2: brand of the party of the Democrat Party is not 669 00:37:16,520 --> 00:37:18,840 Speaker 2: going to turn around anytime soon in those states. But 670 00:37:19,200 --> 00:37:21,960 Speaker 2: to your point, Democrats have had great success in the 671 00:37:22,040 --> 00:37:26,160 Speaker 2: last two decades in those states running. 672 00:37:25,840 --> 00:37:31,040 Speaker 1: Well, they're populous states, that's right, They're populous before their DNR, right, 673 00:37:31,120 --> 00:37:34,040 Speaker 1: and that's what tells that's why I assume they're still 674 00:37:34,080 --> 00:37:43,200 Speaker 1: potentially in play because they're not settled. They're culturally conservative, 675 00:37:43,719 --> 00:37:48,440 Speaker 1: but they want an activist government. Those states benefit from 676 00:37:48,440 --> 00:37:49,719 Speaker 1: an activist government. 677 00:37:49,480 --> 00:37:52,480 Speaker 2: Well, and right now they're not benefiting from the activism 678 00:37:52,520 --> 00:37:55,800 Speaker 2: of the current government. When you look at what is happening, 679 00:37:55,880 --> 00:37:58,440 Speaker 2: you know, you can throw Iowa in there too. When 680 00:37:58,440 --> 00:38:02,600 Speaker 2: you look at what's being with the tariffs and negatively 681 00:38:02,680 --> 00:38:08,680 Speaker 2: impacted uh uh. These populations have been under this presidency, 682 00:38:08,800 --> 00:38:12,320 Speaker 2: and then not just the tariffs, obviously, just through federal 683 00:38:12,360 --> 00:38:15,040 Speaker 2: grants for farms and that sort of thing. It's had 684 00:38:15,080 --> 00:38:18,640 Speaker 2: an overwhelmingly negative impact. And so for Democrats to test this, 685 00:38:18,719 --> 00:38:20,640 Speaker 2: they're going to need to run candidates who can run 686 00:38:20,680 --> 00:38:24,719 Speaker 2: on that populous message, who have some credibility and perspective 687 00:38:24,800 --> 00:38:28,239 Speaker 2: and obviously rely on this still being forefront of their 688 00:38:28,320 --> 00:38:32,680 Speaker 2: minds and Trump and not doing a turnaround in the 689 00:38:32,719 --> 00:38:33,520 Speaker 2: next couple of years. 690 00:38:33,560 --> 00:38:37,759 Speaker 1: Here some of this, you know, sometimes you got to 691 00:38:37,800 --> 00:38:41,439 Speaker 1: do triage. What what blue states? You know? The thing 692 00:38:41,520 --> 00:38:44,719 Speaker 1: that made the popular vote go Trump's direction was not 693 00:38:44,800 --> 00:38:48,000 Speaker 1: the seven battleground states. It was the fact that Illinois, 694 00:38:48,320 --> 00:38:53,280 Speaker 1: New Jersey right were four point races five point races. 695 00:38:53,320 --> 00:38:59,320 Speaker 1: You're like, whoa right of the blue states? Where should 696 00:38:59,360 --> 00:39:06,319 Speaker 1: the party be? Hey, don't drop the ball here. I've 697 00:39:06,360 --> 00:39:08,319 Speaker 1: always said, New Jersey to me is at the top 698 00:39:08,320 --> 00:39:11,680 Speaker 1: of the list. But what after New I assume you 699 00:39:11,680 --> 00:39:14,000 Speaker 1: agree that on New Jersey? Where else would you be 700 00:39:14,040 --> 00:39:17,520 Speaker 1: telling the party, Hey, you know, you better keep a 701 00:39:17,760 --> 00:39:19,319 Speaker 1: better eye out in here, and you better do a 702 00:39:19,320 --> 00:39:21,239 Speaker 1: little more a little more work. 703 00:39:21,600 --> 00:39:24,760 Speaker 2: Well, you know. To me, this is an interesting dynamic 704 00:39:24,840 --> 00:39:28,040 Speaker 2: because it illuminates the problem with you know, I think 705 00:39:28,040 --> 00:39:31,359 Speaker 2: where the party brand identity issue that we've been talking 706 00:39:31,360 --> 00:39:33,600 Speaker 2: about actually has a bigger impact as in these states. 707 00:39:33,640 --> 00:39:36,400 Speaker 2: Because I mentioned how when you look at the turnout 708 00:39:36,520 --> 00:39:38,920 Speaker 2: data in twenty twenty four relative twenty twenty in the 709 00:39:38,920 --> 00:39:41,920 Speaker 2: battleground states, there was almost no difference between those. It 710 00:39:41,960 --> 00:39:43,440 Speaker 2: was just it was minimal. 711 00:39:43,600 --> 00:39:47,400 Speaker 1: But no difference in three straight elections, right, that's sixteen, 712 00:39:47,440 --> 00:39:50,000 Speaker 1: twenty and twenty four. There were more the same than 713 00:39:50,000 --> 00:39:51,520 Speaker 1: different those those seven states. 714 00:39:51,880 --> 00:39:55,759 Speaker 2: But where the turnout truly created for Democrats was in 715 00:39:55,800 --> 00:39:59,360 Speaker 2: these blue states and especially these Northeastern and mid Atlantic states, 716 00:40:00,280 --> 00:40:05,000 Speaker 2: where Democratic turnout was just abysmal. New Jersey actually had 717 00:40:05,040 --> 00:40:07,160 Speaker 2: a little bit of both, where it had a cratering 718 00:40:07,160 --> 00:40:10,080 Speaker 2: of Democratic turnout and it also had these unaffiliated voters 719 00:40:10,120 --> 00:40:12,680 Speaker 2: who were more fiscally sensitive in New Jersey than probably 720 00:40:12,719 --> 00:40:14,840 Speaker 2: any other state. A lot of that just due to 721 00:40:14,880 --> 00:40:21,480 Speaker 2: property taxes. But that drove the massive underperformance of Vice 722 00:40:21,520 --> 00:40:23,800 Speaker 2: President Harris in those states. And so you know, I 723 00:40:23,800 --> 00:40:25,400 Speaker 2: don't look at any of those at this point and 724 00:40:25,400 --> 00:40:28,520 Speaker 2: say Republicans are poised to turn this into a longer 725 00:40:28,600 --> 00:40:33,440 Speaker 2: term trend. Sure, mobilization worries me less than persuasion, because 726 00:40:33,440 --> 00:40:36,480 Speaker 2: mobilization is something that can be fixed with a single 727 00:40:36,520 --> 00:40:39,359 Speaker 2: campaign and a single cycle. Persuasion can as well, but 728 00:40:39,400 --> 00:40:42,879 Speaker 2: it's it's tougher. And so again it's not to say 729 00:40:42,880 --> 00:40:45,879 Speaker 2: that Republicans won't have opportunities in these states. But if 730 00:40:45,960 --> 00:40:48,600 Speaker 2: we're looking at it now holistically, there's not a state, 731 00:40:49,040 --> 00:40:51,120 Speaker 2: a blue state that I look at and say, well, gosh, 732 00:40:51,160 --> 00:40:54,000 Speaker 2: this is one where we're certainly going to be in 733 00:40:54,040 --> 00:40:56,920 Speaker 2: trouble in other than sort of generically. Again, if we 734 00:40:56,920 --> 00:41:00,000 Speaker 2: want to look at where their potential liability from Democratic 735 00:41:00,160 --> 00:41:04,200 Speaker 2: brand identity issues, it's going to be universally across these states. 736 00:41:05,040 --> 00:41:07,440 Speaker 1: Two of the battleground states where Democrats have had an 737 00:41:07,640 --> 00:41:11,600 Speaker 1: enormous amount of success are Georgia and Arizona. These are 738 00:41:11,640 --> 00:41:15,480 Speaker 1: two states that Barack Obama could never carry. He'd come close, 739 00:41:16,360 --> 00:41:20,200 Speaker 1: he'd make them more competitive, but there were you know, 740 00:41:21,520 --> 00:41:27,200 Speaker 1: couldn't win any races in those states. Are they just 741 00:41:27,360 --> 00:41:32,680 Speaker 1: uniquely allergic to Trump? Is this the suburban switch? And 742 00:41:32,840 --> 00:41:34,960 Speaker 1: those two states with just you know, I always said 743 00:41:34,960 --> 00:41:38,880 Speaker 1: Phoenix is America's largest suburb, right in Atlanta arguably a 744 00:41:38,880 --> 00:41:41,839 Speaker 1: close second. You know, they're just two. Is it due 745 00:41:41,840 --> 00:41:45,520 Speaker 1: to the suburban shift to the Democrats that those two 746 00:41:45,640 --> 00:41:49,160 Speaker 1: states in particular basically went from red to battleground. 747 00:41:50,360 --> 00:41:54,160 Speaker 2: There's a few dynamics at play in both of those states. 748 00:41:54,560 --> 00:41:57,080 Speaker 2: You know, certainly that suburban shift is a big part 749 00:41:57,120 --> 00:42:01,680 Speaker 2: of it. They just have a barely significant well educated 750 00:42:02,480 --> 00:42:06,280 Speaker 2: white voter population, these voters who have swung since Trump 751 00:42:06,680 --> 00:42:09,239 Speaker 2: emerged onto the scene towards Democrats, and so that's a 752 00:42:09,239 --> 00:42:12,800 Speaker 2: big part of it. Another thing is Asian American voters 753 00:42:12,880 --> 00:42:20,120 Speaker 2: API voters in Georgia, massive, massively fast growing are of 754 00:42:20,160 --> 00:42:22,200 Speaker 2: the electorate there. Just when you look at the difference 755 00:42:22,239 --> 00:42:25,120 Speaker 2: between twenty sixteen and twenty twenty, where Hillary Clinton lost 756 00:42:25,160 --> 00:42:28,640 Speaker 2: the state and Joe Biden won it, that margin swing 757 00:42:28,760 --> 00:42:32,960 Speaker 2: was almost entirely defined just by not just population growth 758 00:42:32,960 --> 00:42:35,920 Speaker 2: but turnout growth among API voters. Now it's worth noting 759 00:42:36,200 --> 00:42:39,919 Speaker 2: the same AAPI voters swung towards Trump in twenty twenty four, 760 00:42:40,200 --> 00:42:42,719 Speaker 2: and then the Poles are now swinging back against so 761 00:42:43,080 --> 00:42:45,920 Speaker 2: perhaps an emerging swing group. There's not as many of 762 00:42:45,920 --> 00:42:48,960 Speaker 2: those API voters in Arizona as are in Georgia, but 763 00:42:49,080 --> 00:42:51,839 Speaker 2: still an significant element. And then I think in terms 764 00:42:51,840 --> 00:42:55,239 Speaker 2: of Latino voters, Trump didn't get the same sort of 765 00:42:55,320 --> 00:42:58,720 Speaker 2: swing from Latino voters in those states as he got 766 00:42:58,800 --> 00:43:02,240 Speaker 2: in some other states. It's like Nevada, lan Texas, Florida. 767 00:43:03,120 --> 00:43:04,919 Speaker 2: And so that's part of the recipe as well. 768 00:43:05,600 --> 00:43:07,799 Speaker 1: I mean not to oversimplify this, but you know what 769 00:43:07,840 --> 00:43:11,080 Speaker 1: you're describing in both and what you see and yeah, 770 00:43:11,120 --> 00:43:14,440 Speaker 1: I just feel like that Latino voters that Democrats assumed 771 00:43:14,920 --> 00:43:18,640 Speaker 1: that Obama's percentage was their percentage, when when you look 772 00:43:18,640 --> 00:43:22,040 Speaker 1: at these first gen and second gen voters, they're just 773 00:43:22,080 --> 00:43:26,399 Speaker 1: more economic sense, They're economically sensitive, and to me, they 774 00:43:26,400 --> 00:43:30,200 Speaker 1: behave just like regular old swing voters, because swing voters 775 00:43:30,239 --> 00:43:32,799 Speaker 1: are usually economically sensitive. That's right. 776 00:43:32,880 --> 00:43:35,080 Speaker 2: And that's where I think that you know, the pandemic 777 00:43:35,160 --> 00:43:38,200 Speaker 2: had a huge impact. It's why you saw some of 778 00:43:38,239 --> 00:43:40,760 Speaker 2: these bigger swings in the Rio Grand Valley is because 779 00:43:40,840 --> 00:43:43,759 Speaker 2: the way that especially the hospitality industry was hit by 780 00:43:43,800 --> 00:43:47,960 Speaker 2: the pandemic in the closures. Uh, and yeah, I mean 781 00:43:48,000 --> 00:43:52,359 Speaker 2: these are Hispanic voters are are They very much meet 782 00:43:52,400 --> 00:43:54,760 Speaker 2: the profile of swing voters. I do think you're seeing 783 00:43:54,800 --> 00:43:58,160 Speaker 2: that acknowledged by these campaigns now, where you know, I 784 00:43:58,160 --> 00:44:00,440 Speaker 2: think for a while Democrats were perhaps making the mistake 785 00:44:00,480 --> 00:44:03,239 Speaker 2: of treating Hispanic voters as if they were only mobilization 786 00:44:03,400 --> 00:44:05,600 Speaker 2: targets and the price. 787 00:44:05,760 --> 00:44:09,520 Speaker 1: And frankly talking the wrong issue. That's right, Immigration was 788 00:44:09,560 --> 00:44:14,839 Speaker 1: not the number one issue among these voters. Four years ago, 789 00:44:14,960 --> 00:44:17,719 Speaker 1: I operated on the thesis that Trump was a temporary 790 00:44:18,880 --> 00:44:21,720 Speaker 1: brand for the Republicans and that when the quote unquote 791 00:44:22,640 --> 00:44:25,680 Speaker 1: Chamber of Commerce brand came back, you know it would 792 00:44:25,680 --> 00:44:28,920 Speaker 1: bring us to I always said Colorado and Virginia. You 793 00:44:28,920 --> 00:44:31,279 Speaker 1: look at Glenn Youngkin, You're like, yeah, Glenn Youngkin can 794 00:44:31,360 --> 00:44:34,279 Speaker 1: succeed in both the Colorado and Virginia. Right, the sort 795 00:44:34,320 --> 00:44:39,279 Speaker 1: of the Chamber of Commerce type pitch. I'm less sure now. 796 00:44:39,320 --> 00:44:41,560 Speaker 1: I mean I think the I think once you have 797 00:44:41,600 --> 00:44:46,080 Speaker 1: a second term that it probably defines that Trump's now 798 00:44:46,640 --> 00:44:49,839 Speaker 1: it's Trump's party. He's not borrowing the party anymore, right, 799 00:44:49,920 --> 00:44:55,080 Speaker 1: he has molded the party. Is that wing? Is that 800 00:44:55,120 --> 00:44:59,680 Speaker 1: wing of the party just dormant, dead, no longer registered Republicans? 801 00:44:59,719 --> 00:45:03,280 Speaker 1: I mean the Paul Ryan wing. Are they now registering 802 00:45:03,280 --> 00:45:03,960 Speaker 1: as independent? 803 00:45:05,640 --> 00:45:08,680 Speaker 2: I think it's a big question of to what extent 804 00:45:09,000 --> 00:45:11,520 Speaker 2: Republicans who are not Trump are able to pull it 805 00:45:11,719 --> 00:45:15,600 Speaker 2: off a convincing enough impersonation of him to be able 806 00:45:15,640 --> 00:45:19,120 Speaker 2: to have electoral success. Because I agree, I don't see 807 00:45:19,120 --> 00:45:22,040 Speaker 2: a world where the party goes back to where they 808 00:45:22,080 --> 00:45:23,400 Speaker 2: were before now right away. 809 00:45:23,520 --> 00:45:25,200 Speaker 1: I mean, you're certainly not. You know, it's going to 810 00:45:25,200 --> 00:45:27,320 Speaker 1: take an election cycle or two before they would. 811 00:45:27,440 --> 00:45:32,200 Speaker 2: It'll take them losing badly in elections with not convincing 812 00:45:32,320 --> 00:45:35,480 Speaker 2: enough Trump like clone. You know, when you look at 813 00:45:35,520 --> 00:45:40,520 Speaker 2: twenty twenty two, perhaps that is indicative of how the 814 00:45:40,560 --> 00:45:47,200 Speaker 2: party could free itself of Trump's shadow, in that you 815 00:45:47,400 --> 00:45:50,120 Speaker 2: had a lot of Republican candidates for the Senate who 816 00:45:50,120 --> 00:45:52,520 Speaker 2: are running as Trump clones, whether it was you know, 817 00:45:52,560 --> 00:45:56,040 Speaker 2: doctor Oz and Pennsylvania. You go across these these races 818 00:45:56,040 --> 00:45:58,759 Speaker 2: that they should have won based on the history of 819 00:45:58,800 --> 00:46:03,960 Speaker 2: midterm elections credit president who was historically unpopular. They should 820 00:46:03,960 --> 00:46:05,640 Speaker 2: have won them, but they didn't win them because of 821 00:46:05,640 --> 00:46:11,240 Speaker 2: these candidates Herschelwalker being another one, Zona and all races 822 00:46:11,239 --> 00:46:13,600 Speaker 2: that they should have won, uh, and they didn't. So 823 00:46:14,239 --> 00:46:17,120 Speaker 2: post Trump, are they able to find candidates who can 824 00:46:17,160 --> 00:46:21,000 Speaker 2: pull off more convincing impersonations. Then I think it's it's 825 00:46:21,040 --> 00:46:24,799 Speaker 2: stickier because from a primary perspective, it's the way you 826 00:46:24,920 --> 00:46:27,279 Speaker 2: win a Republican primary now and I don't expect that. 827 00:46:27,280 --> 00:46:29,560 Speaker 1: To change any time. 828 00:46:30,120 --> 00:46:33,200 Speaker 2: Can they can they win general elections without someone named 829 00:46:33,200 --> 00:46:36,839 Speaker 2: Donald Trump on the ballot with that mega mentality? I'm 830 00:46:36,840 --> 00:46:37,640 Speaker 2: just not so sure. 831 00:46:38,200 --> 00:46:42,319 Speaker 1: All right with the last minute or two here the 832 00:46:42,400 --> 00:46:47,640 Speaker 1: stay polling, I'm a I'm generally bullish unpolling, meaning I 833 00:46:47,760 --> 00:46:50,640 Speaker 1: kind of think that people demit. I hate the averaging 834 00:46:50,680 --> 00:46:53,520 Speaker 1: of polls because I think it's created the illusion of 835 00:46:53,560 --> 00:46:57,520 Speaker 1: accuracy when a poll is there to essentially give you 836 00:46:57,560 --> 00:47:01,280 Speaker 1: an estimate and it's you know, if you pay attention 837 00:47:01,320 --> 00:47:03,200 Speaker 1: to margins of aeror. Polling has been fine over the 838 00:47:03,280 --> 00:47:06,719 Speaker 1: last ten years. The problem is we have this, you know, 839 00:47:06,800 --> 00:47:09,080 Speaker 1: real clear politics in five point thirty eight gave us 840 00:47:09,120 --> 00:47:13,440 Speaker 1: the the somehow the illusion that there was there was 841 00:47:13,680 --> 00:47:17,359 Speaker 1: pure accuracy in what was a freaking survey. Okay, So 842 00:47:18,120 --> 00:47:20,280 Speaker 1: that would drive me bonkers. And that's why I hate 843 00:47:20,760 --> 00:47:24,239 Speaker 1: pull averaging and all of those things. All that said, 844 00:47:24,640 --> 00:47:27,960 Speaker 1: what's your preferred methodology to get up these days in 845 00:47:28,120 --> 00:47:32,880 Speaker 1: order to feel like you've got a good handle on 846 00:47:33,080 --> 00:47:36,600 Speaker 1: public opinion research? What kind of methodology are you looking 847 00:47:36,640 --> 00:47:39,439 Speaker 1: for these days compared to save twenty years ago. 848 00:47:39,840 --> 00:47:42,520 Speaker 2: Well, and I agree with everything you said in terms 849 00:47:42,520 --> 00:47:44,479 Speaker 2: of the state of polling, and I think polsters should 850 00:47:44,480 --> 00:47:48,600 Speaker 2: be applauded because they've adapted and evolved quite admirably. 851 00:47:49,120 --> 00:47:52,720 Speaker 1: Great. It's hard. It's never been harder. 852 00:47:52,920 --> 00:47:55,320 Speaker 2: No, it's never been harder, and it just keeps getting harder, 853 00:47:55,360 --> 00:48:00,719 Speaker 2: you know, Apple putting into place. All make things even 854 00:48:00,719 --> 00:48:03,120 Speaker 2: harder for bolsters because the call will just be funneled 855 00:48:03,160 --> 00:48:05,959 Speaker 2: right to junk folders. So you know what I look for. 856 00:48:07,120 --> 00:48:11,160 Speaker 2: Mixed mode survey data collection is incredibly important now. I 857 00:48:11,200 --> 00:48:12,680 Speaker 2: think it's one of the things that we learned, and 858 00:48:12,719 --> 00:48:15,239 Speaker 2: again I think most polsters are doing a great job. 859 00:48:15,320 --> 00:48:16,759 Speaker 1: So they are. Let's put that in a little bit 860 00:48:16,800 --> 00:48:19,600 Speaker 1: of American for people, Mixed mode for those that don't 861 00:48:19,600 --> 00:48:21,120 Speaker 1: follow the industry means what. 862 00:48:21,520 --> 00:48:25,000 Speaker 2: So that means they're collecting data by not just one method. 863 00:48:25,200 --> 00:48:29,120 Speaker 2: So they're texting people, they're doing online surveys, they're calling people, 864 00:48:29,160 --> 00:48:32,760 Speaker 2: they're calling their landlines. Some people still into landlines. 865 00:48:32,800 --> 00:48:36,680 Speaker 1: So they're almost picking a mode based on the demographic preference. Right, 866 00:48:36,719 --> 00:48:39,279 Speaker 1: if you know younger people prefer text a web, then 867 00:48:39,320 --> 00:48:41,920 Speaker 1: you text a web everybody under the age of thirty, right, 868 00:48:42,560 --> 00:48:44,520 Speaker 1: landlines over the age of seventy, etcetera. 869 00:48:44,680 --> 00:48:47,279 Speaker 2: Right, Every mode has its bias, and so if you 870 00:48:47,280 --> 00:48:50,200 Speaker 2: can collect data through multiple modes, it gets more expensive. 871 00:48:50,320 --> 00:48:54,839 Speaker 2: But you look at most accurate polsters, that's that's what 872 00:48:54,880 --> 00:48:56,680 Speaker 2: they're doing at this point, and I think you're just 873 00:48:56,760 --> 00:48:59,440 Speaker 2: going to see you're going to see more of that 874 00:48:59,560 --> 00:49:01,319 Speaker 2: going forward, I will say, you know, the other thing 875 00:49:01,360 --> 00:49:04,240 Speaker 2: that drives me crazy with the polling, beyond the averaging 876 00:49:04,280 --> 00:49:07,560 Speaker 2: of poles, is the cross tab diving. 877 00:49:08,000 --> 00:49:11,560 Speaker 1: Oh my god, that's it. That's worse straight like, oh, 878 00:49:11,719 --> 00:49:12,439 Speaker 1: don't do that. 879 00:49:12,880 --> 00:49:17,520 Speaker 2: But you know, we'll see movement among independent white women 880 00:49:17,640 --> 00:49:20,000 Speaker 2: in one state between one pole and another and then 881 00:49:20,200 --> 00:49:22,360 Speaker 2: write a front page story about how they moved. And 882 00:49:22,440 --> 00:49:25,279 Speaker 2: the reality is none of that has the level of 883 00:49:25,280 --> 00:49:28,920 Speaker 2: fidelity that we could, you know, provide that level of credit. 884 00:49:28,960 --> 00:49:30,680 Speaker 1: We used to have a rule at the NBC News 885 00:49:30,680 --> 00:49:34,120 Speaker 1: Pole and NBC Well Set Journal Pole and hart mcin 886 00:49:34,160 --> 00:49:36,560 Speaker 1: Turf were both like this, two poles in a row 887 00:49:36,600 --> 00:49:39,720 Speaker 1: and a subgroup. Don't go crazy when you see a switch. 888 00:49:39,800 --> 00:49:42,600 Speaker 1: Two poles in a row. And that was always the rule. 889 00:49:42,600 --> 00:49:45,440 Speaker 1: We did not ever ride about a swing until we 890 00:49:45,440 --> 00:49:48,840 Speaker 1: saw two poles in a row. You know. Even then, 891 00:49:49,200 --> 00:49:51,400 Speaker 1: you know you're talking about a subset of eighty to 892 00:49:51,400 --> 00:49:53,719 Speaker 1: one hundred and twenty, you know, on some of these 893 00:49:53,719 --> 00:49:56,240 Speaker 1: demographics cross tabs. 894 00:49:56,280 --> 00:49:58,880 Speaker 2: But anyway, only everyone would follow your lead on that. 895 00:50:00,080 --> 00:50:02,719 Speaker 1: It's fair enough and let me get out, get you 896 00:50:02,760 --> 00:50:04,560 Speaker 1: out in here. And this what's the three public the 897 00:50:04,640 --> 00:50:08,200 Speaker 1: nonpartisan polls that you're like when they come out, I 898 00:50:08,280 --> 00:50:10,960 Speaker 1: read it all. I read all of it. I go 899 00:50:11,040 --> 00:50:12,160 Speaker 1: into the demos and everything. 900 00:50:13,000 --> 00:50:15,479 Speaker 2: You know, what's funny is is I have spent less 901 00:50:15,480 --> 00:50:17,960 Speaker 2: and less time this year digging into the polls, which 902 00:50:18,000 --> 00:50:20,399 Speaker 2: I think has been for me. But you know, look, 903 00:50:20,560 --> 00:50:24,480 Speaker 2: I love the New York Times polls. I don't love 904 00:50:24,520 --> 00:50:27,239 Speaker 2: how people sometimes cover them or how they digest them, 905 00:50:27,280 --> 00:50:29,080 Speaker 2: but I think they do an incredible job. 906 00:50:29,200 --> 00:50:32,799 Speaker 1: I love I love their transparency. That's right. I mean, 907 00:50:32,840 --> 00:50:37,080 Speaker 1: they're analysis. It's funny how a couple of times they've 908 00:50:37,160 --> 00:50:41,160 Speaker 1: literally been your poll told you the answer and you 909 00:50:41,320 --> 00:50:45,600 Speaker 1: didn't write it. But anyway, I agree they're transparency. I 910 00:50:45,760 --> 00:50:46,600 Speaker 1: should be commended. 911 00:50:46,840 --> 00:50:49,080 Speaker 2: I've mentioned the Navigator surveys. I think they do a 912 00:50:49,120 --> 00:50:49,600 Speaker 2: great job. 913 00:50:49,680 --> 00:50:49,840 Speaker 1: You know. 914 00:50:49,880 --> 00:50:51,480 Speaker 2: I mean that I think we get a little bit 915 00:50:51,520 --> 00:50:54,480 Speaker 2: too obsessed about who was the accurate polster last time. 916 00:50:54,520 --> 00:50:56,360 Speaker 2: You have a whole bunch of pollsters who tend to 917 00:50:57,040 --> 00:51:00,759 Speaker 2: out outcomes that are more Republican. You have some that 918 00:51:00,840 --> 00:51:04,279 Speaker 2: are reliably more democratic. And if the election swings one way, 919 00:51:04,360 --> 00:51:06,360 Speaker 2: then those pollsters look good, and if it swings the 920 00:51:06,360 --> 00:51:08,560 Speaker 2: other way, look good. And I think we need to. 921 00:51:08,640 --> 00:51:12,480 Speaker 1: I just want consistency, Like I know quinip X consistent. 922 00:51:12,640 --> 00:51:15,560 Speaker 1: I think they have a bit of a lien. They're consistent, Emerson, 923 00:51:16,120 --> 00:51:17,400 Speaker 1: I think they have a bit of a lien, but 924 00:51:17,480 --> 00:51:20,719 Speaker 1: it's consistent. Like, as long as it's consistent, then I 925 00:51:20,760 --> 00:51:22,960 Speaker 1: can I do my own math. All right, I'm going 926 00:51:23,000 --> 00:51:24,759 Speaker 1: to add to or I'm going to subtract to or 927 00:51:24,760 --> 00:51:28,120 Speaker 1: whatever it is, and that's where I go. But but 928 00:51:29,600 --> 00:51:31,960 Speaker 1: that's usually I'm sure what you look for consistency. 929 00:51:32,080 --> 00:51:34,000 Speaker 2: Yeah, no, that's exactly right. You need to be able 930 00:51:34,000 --> 00:51:36,719 Speaker 2: to make some of your own mental adjustments and calculations 931 00:51:36,800 --> 00:51:37,120 Speaker 2: for sure. 932 00:51:37,200 --> 00:51:39,960 Speaker 1: Yeah, Tom Bon here, this was appreciate you geeking out 933 00:51:39,960 --> 00:51:45,120 Speaker 1: with me, and uh, we'll see how the vote. Do 934 00:51:45,160 --> 00:51:49,200 Speaker 1: you see evidence that the party is throwing real energy 935 00:51:49,239 --> 00:51:50,640 Speaker 1: in voter registration yet or not? 936 00:51:51,120 --> 00:51:54,160 Speaker 2: Well, you're seeing it, and again you're seeing you're seeing 937 00:51:54,400 --> 00:51:56,640 Speaker 2: more of these outside groups that have existed that had 938 00:51:56,680 --> 00:51:59,000 Speaker 2: success last time around are doing it too. In terms 939 00:51:59,080 --> 00:52:03,439 Speaker 2: of party party doings and registration. I will say I've 940 00:52:03,440 --> 00:52:06,080 Speaker 2: heard a lot more talk about that happening, a lot 941 00:52:06,120 --> 00:52:09,000 Speaker 2: more people pushing for that happening. I believe you will 942 00:52:09,040 --> 00:52:11,319 Speaker 2: see investment from the party and that as we get 943 00:52:11,320 --> 00:52:12,640 Speaker 2: into the midterm elections next. 944 00:52:13,640 --> 00:52:17,480 Speaker 1: I'd imagine they want to show something on that front. 945 00:52:17,520 --> 00:52:20,120 Speaker 1: That's for sure. Tom appreciate the time. Great stop with me. 946 00:52:20,400 --> 00:52:20,719 Speaker 1: Thank you.