1 00:00:02,320 --> 00:00:09,039 Speaker 1: The armstrong and getting so Democrats by nature a nervous 2 00:00:09,320 --> 00:00:13,160 Speaker 1: they they're so traumatized by two thousand and sixteen. They 3 00:00:13,200 --> 00:00:15,960 Speaker 1: have to get over it, all right, And I get 4 00:00:16,000 --> 00:00:18,680 Speaker 1: this all the time. I'll change. Please don't say that, 5 00:00:18,720 --> 00:00:20,439 Speaker 1: because if people think we're gonna win and not to 6 00:00:20,480 --> 00:00:23,319 Speaker 1: combine Vook, that's the idiotic We're going to win. What 7 00:00:23,360 --> 00:00:26,320 Speaker 1: do you want me to do? Biden campaign has actually 8 00:00:26,360 --> 00:00:29,000 Speaker 1: been pretty good. He gets pretty good in the debates, 9 00:00:29,320 --> 00:00:32,000 Speaker 1: and of course he's gonna make gas between nine election 10 00:00:32,080 --> 00:00:36,400 Speaker 1: day and it just sends the the Democratic Party into 11 00:00:36,880 --> 00:00:40,760 Speaker 1: some kind of state of depression. Get over it, tough enough, people, 12 00:00:41,000 --> 00:00:43,840 Speaker 1: I'm sorry, that's just the truth. Deal with a Democrats. 13 00:00:43,880 --> 00:00:48,600 Speaker 1: You're gonna worry. James Carville saying, look, we're gonna win. Well, 14 00:00:48,640 --> 00:00:51,319 Speaker 1: there are a lot of polls out there that are 15 00:00:51,400 --> 00:00:53,480 Speaker 1: not favorable to Donald Trump right now. And I thought 16 00:00:53,520 --> 00:00:55,720 Speaker 1: we'd talked to somebody who knows a lot about being 17 00:00:55,760 --> 00:00:59,320 Speaker 1: involved in presidential campaigns. And you know where we are now. 18 00:00:59,360 --> 00:01:01,480 Speaker 1: We haven't talked about about this sort of stuff because god, 19 00:01:01,520 --> 00:01:03,960 Speaker 1: we're four months out and well and and well, I 20 00:01:04,000 --> 00:01:06,960 Speaker 1: tell you what, let's bring long he in and and 21 00:01:06,520 --> 00:01:09,479 Speaker 1: include him in the conversation lot and he j Chen 22 00:01:09,959 --> 00:01:13,880 Speaker 1: David and Diane Stephie fellow in American Public Policy Studies 23 00:01:13,880 --> 00:01:16,560 Speaker 1: at the Hoover Institution. Uh joins us. Now on here, 24 00:01:16,560 --> 00:01:18,920 Speaker 1: how are you, sir? It's good to be with you 25 00:01:18,959 --> 00:01:20,679 Speaker 1: this morning. Think I got your title right? I forget 26 00:01:20,680 --> 00:01:22,720 Speaker 1: to put on my glasses, so I'm squinting like a fiend. 27 00:01:22,840 --> 00:01:25,720 Speaker 1: And you and you you have been involved in a 28 00:01:25,720 --> 00:01:31,479 Speaker 1: couple of big time, major presidential campaigns, correct, four of them, 29 00:01:32,200 --> 00:01:35,040 Speaker 1: including as a as a senior aide to romney in 30 00:01:35,959 --> 00:01:39,600 Speaker 1: and a senior aide to Marco Rubio. And you're and 31 00:01:39,720 --> 00:01:42,560 Speaker 1: you're a student of history and teach all this stuff. 32 00:01:42,600 --> 00:01:45,520 Speaker 1: So um, good person to ask some of these questions. One, 33 00:01:46,480 --> 00:01:52,560 Speaker 1: do numbers move very dramatically from this point to election day? 34 00:01:52,600 --> 00:01:55,280 Speaker 1: I mean is that common they? You know? Can can 35 00:01:55,320 --> 00:01:58,080 Speaker 1: you make up ground? Did they tend to say you're 36 00:01:58,160 --> 00:02:01,800 Speaker 1: eight points down in a pivotal swing? Stated? Sure? Did 37 00:02:02,040 --> 00:02:04,320 Speaker 1: do numbers like that change in the last four months? 38 00:02:04,360 --> 00:02:09,040 Speaker 1: Does that happen regularly? Yeah? The numbers definitely will bounce 39 00:02:09,400 --> 00:02:12,399 Speaker 1: all over the place. Trends will change based on events. 40 00:02:12,800 --> 00:02:15,639 Speaker 1: You know, if you look at the campaign as an example, 41 00:02:16,200 --> 00:02:18,560 Speaker 1: you had you had a race that was not close 42 00:02:19,400 --> 00:02:22,320 Speaker 1: for a large part of the of the summer months 43 00:02:22,320 --> 00:02:26,960 Speaker 1: and then closed quite rapidly after the first presidential debate, 44 00:02:27,000 --> 00:02:30,560 Speaker 1: which was in early October in Denver. So yeah, that 45 00:02:30,639 --> 00:02:34,200 Speaker 1: the numbers can absolutely change. The margins are are big now, 46 00:02:34,240 --> 00:02:36,240 Speaker 1: don't get me wrong. I think Joe Biden has a 47 00:02:36,320 --> 00:02:39,519 Speaker 1: very healthy lead nationally. Some of the swing state polling, 48 00:02:39,560 --> 00:02:43,880 Speaker 1: which has been notoriously inaccurate in the past, the sort 49 00:02:43,880 --> 00:02:46,720 Speaker 1: of throw weight of that swing state polling suggest that 50 00:02:46,760 --> 00:02:49,600 Speaker 1: Trump is also in trouble. So, I mean, those numbers 51 00:02:49,639 --> 00:02:52,680 Speaker 1: I think reflect where we are today, but they are 52 00:02:52,720 --> 00:02:55,160 Speaker 1: not necessarily a reflection of where the race will be 53 00:02:55,200 --> 00:02:58,200 Speaker 1: in September or October. Well, not necessarily. But has anybody 54 00:02:58,240 --> 00:03:00,320 Speaker 1: ever come back in one who is this far down 55 00:03:00,360 --> 00:03:05,760 Speaker 1: four months out? That's a good question. So um, I 56 00:03:05,800 --> 00:03:11,200 Speaker 1: believe Buchanan was down thirteen points Jack and fairly fairly 57 00:03:11,240 --> 00:03:13,880 Speaker 1: modern phenomenon. But I just don't remember anybody being this 58 00:03:13,960 --> 00:03:17,200 Speaker 1: far down and coming back and winning. Yeah, I mean, 59 00:03:17,280 --> 00:03:19,680 Speaker 1: there are certainly people who held onto leads, obviously, but 60 00:03:19,960 --> 00:03:22,120 Speaker 1: I don't I don't know about coming back, And I'm 61 00:03:22,160 --> 00:03:24,280 Speaker 1: just trying to rack in my brain thinking about people 62 00:03:24,320 --> 00:03:26,959 Speaker 1: that have come back to win. Uh, and and it's 63 00:03:26,960 --> 00:03:32,560 Speaker 1: been rare. Clinton wasn't doing particularly well um against George H. W. Bush, 64 00:03:32,800 --> 00:03:35,440 Speaker 1: and then things kind of turned around for him late 65 00:03:35,480 --> 00:03:37,440 Speaker 1: in the race. So that might be one race to 66 00:03:37,480 --> 00:03:39,720 Speaker 1: look at where I would say Clinton was probably down 67 00:03:39,760 --> 00:03:41,760 Speaker 1: at this point came back to winning and not down 68 00:03:41,800 --> 00:03:44,920 Speaker 1: by a small number either. So um. You know, part 69 00:03:44,920 --> 00:03:47,440 Speaker 1: of a challenge for for Donald Trump as I see 70 00:03:47,440 --> 00:03:50,880 Speaker 1: it now, is that there's two things. One is the 71 00:03:51,840 --> 00:03:55,480 Speaker 1: self sort of self made errors I think has finally 72 00:03:55,560 --> 00:03:58,400 Speaker 1: begun to accumulate. I think people are beginning to see that, 73 00:03:59,240 --> 00:04:00,880 Speaker 1: and the set things they I would just saying there's 74 00:04:00,920 --> 00:04:04,400 Speaker 1: some you know, recent news about this is that it's 75 00:04:04,440 --> 00:04:08,160 Speaker 1: not really clear what his second term agenda will look like. 76 00:04:08,320 --> 00:04:10,600 Speaker 1: And I think he and his campaign probably need to 77 00:04:10,600 --> 00:04:12,480 Speaker 1: get out there and to find that a little better. 78 00:04:13,080 --> 00:04:15,880 Speaker 1: Uh if if, if he wants to close this gap, right, 79 00:04:16,040 --> 00:04:19,240 Speaker 1: I mean, even Trump fans who are friends, relatives of 80 00:04:19,560 --> 00:04:23,159 Speaker 1: mine and ours will admit to some Trump fatigue, um, 81 00:04:23,240 --> 00:04:27,120 Speaker 1: and he absolutely needs to balance that with a powerful 82 00:04:27,120 --> 00:04:29,680 Speaker 1: as he would probably put it, a positive message for 83 00:04:29,720 --> 00:04:32,480 Speaker 1: the second term. So listen, Lon he j J And 84 00:04:32,640 --> 00:04:34,440 Speaker 1: I am, I'm a sport that did you? Are you 85 00:04:34,440 --> 00:04:38,040 Speaker 1: a sports fan at all? Have we ever talked about this? Yes? Yes, right, okay, 86 00:04:38,160 --> 00:04:40,360 Speaker 1: I am, I'm I'm I'm a big sports fan. What's 87 00:04:40,360 --> 00:04:45,440 Speaker 1: your favorite sport? I would say it's baseball? Okay, all right, fine, 88 00:04:45,480 --> 00:04:48,359 Speaker 1: I'm a I'm a Dodger fan. Well, oh my god, 89 00:04:48,720 --> 00:04:51,960 Speaker 1: we can't be friends anymore. Sorry, Uh no, I can't. 90 00:04:52,360 --> 00:04:55,280 Speaker 1: Um a lot of fabulous Dodger fans listening to the show, 91 00:04:55,320 --> 00:04:57,480 Speaker 1: and we're as willing to pander to you as dandy. 92 00:04:57,520 --> 00:05:02,440 Speaker 1: But so if if you took a snapshot of where 93 00:05:02,440 --> 00:05:04,200 Speaker 1: we are right now in terms of the Trump campaign 94 00:05:04,200 --> 00:05:07,960 Speaker 1: and the numbers we've been discussing, is he down two 95 00:05:08,080 --> 00:05:11,880 Speaker 1: runs in the fourth inning or how would you how 96 00:05:11,880 --> 00:05:14,080 Speaker 1: would you put? How does he stand? How nervous should 97 00:05:14,080 --> 00:05:18,880 Speaker 1: Trump fans be? I think they should be nervous, but 98 00:05:18,960 --> 00:05:22,239 Speaker 1: they shouldn't be overwhelmingly so, so I would say he's down, 99 00:05:22,520 --> 00:05:24,279 Speaker 1: you know, I'd say five or six runs in the 100 00:05:24,279 --> 00:05:26,520 Speaker 1: second inning. That's how I would That's that. That's how 101 00:05:26,520 --> 00:05:29,880 Speaker 1: it put. Interesting, it's a pretty it's a pretty big lead, 102 00:05:29,880 --> 00:05:32,599 Speaker 1: but it's so early, okay, that is, and he's a 103 00:05:32,640 --> 00:05:36,719 Speaker 1: team that's won a lot, so right, right, I mean 104 00:05:36,800 --> 00:05:39,440 Speaker 1: you know, if so and all the players on the 105 00:05:39,440 --> 00:05:43,480 Speaker 1: other team are eighty years old, there, right, they all 106 00:05:43,520 --> 00:05:45,720 Speaker 1: have to they both torn their A C. L s 107 00:05:45,800 --> 00:05:50,680 Speaker 1: or at Tommy john Surgs Racing. Look, here's here's here's 108 00:05:50,720 --> 00:05:52,640 Speaker 1: how I would think about it if I were looking 109 00:05:52,680 --> 00:05:55,440 Speaker 1: at these polls. And I'm sure you know you've got 110 00:05:55,480 --> 00:05:58,680 Speaker 1: a very sophisticated listener base. So maybe I'm saying something 111 00:05:58,720 --> 00:06:01,719 Speaker 1: people already know, but you do not need to worry 112 00:06:01,800 --> 00:06:05,880 Speaker 1: so much about the national polls. The real worrisome numbers 113 00:06:05,920 --> 00:06:07,920 Speaker 1: that we're seeing if you're the Trump campaign or a 114 00:06:07,920 --> 00:06:11,000 Speaker 1: Trump supporter, are in the state five state And if 115 00:06:11,320 --> 00:06:15,160 Speaker 1: he's losing states like Arizona and Florida and North Carolina 116 00:06:15,640 --> 00:06:19,560 Speaker 1: that he won in twenty sixteen with decently healthy margins, 117 00:06:19,920 --> 00:06:22,080 Speaker 1: you've got to be concerned when you see a number like, 118 00:06:22,600 --> 00:06:25,200 Speaker 1: you know, down seven or eight in Arizona, down seven 119 00:06:25,279 --> 00:06:27,360 Speaker 1: or eight in Florida. We're looking at him down to 120 00:06:27,400 --> 00:06:31,120 Speaker 1: eleven in Wisconsin, down to eleven in Wisconsin, down ten 121 00:06:31,240 --> 00:06:34,679 Speaker 1: in Pennsylvania. Though, that's tough, and I think the numbers 122 00:06:34,720 --> 00:06:37,280 Speaker 1: even bigger in Michigan. I mean, you know, I think 123 00:06:37,640 --> 00:06:40,240 Speaker 1: we if you're the Trump campaign, you really do need 124 00:06:40,320 --> 00:06:43,360 Speaker 1: to focus on Arizona and Florida and North Carolina right now. 125 00:06:43,400 --> 00:06:46,040 Speaker 1: I mean, the fact that you're down in those states 126 00:06:46,240 --> 00:06:49,679 Speaker 1: is a is a major trouble sign. Uh. The other states, 127 00:06:49,680 --> 00:06:53,640 Speaker 1: I mean Michigan, Wisconsin, those those polls never really had 128 00:06:53,760 --> 00:06:55,799 Speaker 1: him all that close. And I think a few poles 129 00:06:55,800 --> 00:06:58,120 Speaker 1: at the very in may have had him closing in Michigan, 130 00:06:58,480 --> 00:07:02,280 Speaker 1: but the mission Michigan within polling, Pennsylvania polling never really 131 00:07:02,360 --> 00:07:05,159 Speaker 1: was all that friendly to Donald Trump at sixteen anyway. 132 00:07:05,200 --> 00:07:07,240 Speaker 1: So so that's why I say, if you look at 133 00:07:07,240 --> 00:07:10,280 Speaker 1: the two thousand twenty state by state polling, it really 134 00:07:10,320 --> 00:07:12,160 Speaker 1: is those states in the in the seven of the 135 00:07:12,200 --> 00:07:15,920 Speaker 1: South that are worrisome for Ms. Trump. Lana he Chan 136 00:07:16,080 --> 00:07:19,000 Speaker 1: is online, Hey, Lana he quickly maybe a minute on this, 137 00:07:19,120 --> 00:07:24,720 Speaker 1: but I'm looking at some COVID nineteen statistics. Um, when 138 00:07:24,800 --> 00:07:27,320 Speaker 1: when the book is written, perhaps by you, about the 139 00:07:27,360 --> 00:07:32,560 Speaker 1: politics of COVID nineteen, what's the headline, what's that title? 140 00:07:32,560 --> 00:07:34,880 Speaker 1: What what approach would you take? How do you see 141 00:07:34,880 --> 00:07:37,840 Speaker 1: this whole thing? Because there's been such a big political uh, 142 00:07:38,040 --> 00:07:40,640 Speaker 1: you know, part of part of this that is political, 143 00:07:40,680 --> 00:07:45,360 Speaker 1: I should say, I would call the book the Polarized Pandemic, 144 00:07:46,000 --> 00:07:48,760 Speaker 1: and and you sort of hit on the on the 145 00:07:48,840 --> 00:07:52,440 Speaker 1: really big dynamic here, which is fascinating is the degree 146 00:07:52,480 --> 00:07:55,440 Speaker 1: to which we as a society have been polarized over 147 00:07:55,960 --> 00:07:58,680 Speaker 1: everything when it comes to this pandemic. I mean, there's 148 00:07:59,040 --> 00:08:02,800 Speaker 1: literally almost no question that is not politically polarized. Where 149 00:08:02,800 --> 00:08:05,520 Speaker 1: did the pandemic come from? What should we call it? 150 00:08:06,200 --> 00:08:10,240 Speaker 1: Should people wear masks? How should society respond to it? 151 00:08:10,320 --> 00:08:13,440 Speaker 1: Who is responsible for the spike in cases? Why is 152 00:08:13,480 --> 00:08:16,720 Speaker 1: there a spike in cases? All of these questions are 153 00:08:16,800 --> 00:08:21,760 Speaker 1: politically tinged, politically motivated. People's answers will differ based on 154 00:08:21,800 --> 00:08:24,360 Speaker 1: how they see their their politics and who they like 155 00:08:24,520 --> 00:08:27,280 Speaker 1: in political life and who they don't like. And that 156 00:08:27,400 --> 00:08:31,000 Speaker 1: to me is staggering, because if you look at past pandemics, 157 00:08:31,000 --> 00:08:33,040 Speaker 1: not just here in the US, but around the world, 158 00:08:33,800 --> 00:08:36,800 Speaker 1: you will find, i'd submit, a much lower degree of 159 00:08:36,840 --> 00:08:39,200 Speaker 1: political polarization. And in fact, if you look at the 160 00:08:39,240 --> 00:08:42,120 Speaker 1: response that other countries have had, it has not been 161 00:08:42,200 --> 00:08:45,520 Speaker 1: driven as much by politics, and so our situation here 162 00:08:45,600 --> 00:08:48,880 Speaker 1: around COVID nineteen this will be a story people will 163 00:08:48,880 --> 00:08:52,000 Speaker 1: write for generations to come how polarized we've become around 164 00:08:52,000 --> 00:08:54,800 Speaker 1: this pandemic. Well, that sounds like a great quickie book. 165 00:08:54,920 --> 00:08:57,800 Speaker 1: I proposed the following, you do the work, I put 166 00:08:57,840 --> 00:09:01,240 Speaker 1: my name on it, and and we put it on 167 00:09:01,280 --> 00:09:03,800 Speaker 1: the market. I want you to think about that. Since 168 00:09:03,880 --> 00:09:09,520 Speaker 1: you're offer great, offer a loan. He's a fellow in 169 00:09:09,559 --> 00:09:12,280 Speaker 1: the American Public Policy Studies at the Hoover Institution and 170 00:09:12,320 --> 00:09:17,240 Speaker 1: it's always great to talk. Thanks Lonnie Armstrong and Getty