WEBVTT - Nate Silver: Poll Whisperer

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<v Speaker 1>Hi, Brian, Hi Katie. Today our podcast is Bicoastal. Brian

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<v Speaker 1>is in California. I am in New York. You probably

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<v Speaker 1>are very well aware that the two thousand and sixteen

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<v Speaker 1>presidential election is less than a week away. I'm sure

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<v Speaker 1>that's probably how you feel. Brian is the only person

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<v Speaker 1>I think on the planet who's going to be sad, well,

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<v Speaker 1>maybe a couple of cable networks as well to see

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<v Speaker 1>this election come to a close. Are you having withdrawals yet? Brian? No,

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<v Speaker 1>I'm just trying to enjoy it. Well at last, it's

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<v Speaker 1>like burning Man for me. I think, oh, yeah, you're

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<v Speaker 1>such a Bernie Man guy. By the way, I mean,

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<v Speaker 1>there's been plenty to keep us busy when it comes

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<v Speaker 1>to talking about all things political. So much has happened.

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<v Speaker 1>I think we could change the lyrics of the September

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<v Speaker 1>song to the November song. Brian, don't you I feel

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<v Speaker 1>like this is your queue. Oh it's a long, long

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<v Speaker 1>while from me to November. I was right about that.

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<v Speaker 1>I like that it was nice Bobrado, But so much

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<v Speaker 1>has happened. I mean, it's really hard to keep all

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<v Speaker 1>this straight, isn't it. Well, there's a rich history of

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<v Speaker 1>October surprises in American politics. You go back to eight

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<v Speaker 1>there was a bombing halt in North Vietnam, which was

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<v Speaker 1>supposed to help then Democratic candidate Hubert Humphrey. In seventy two,

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<v Speaker 1>Henry Kissinger said pieces at hand, also in Vietnam, and

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<v Speaker 1>that supposedly helped Nixon into The former Reagan Defense secretary

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<v Speaker 1>was indicted, which supposedly hurt George H. W. Bush. There

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<v Speaker 1>are a lot of examples of this. Shall answer man,

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<v Speaker 1>what happened in for crying out loud? What was a

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<v Speaker 1>internal action? Sorry, of course it was scratch that you

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<v Speaker 1>want to talk about at the McKinley ray. But but

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<v Speaker 1>I think what's interesting about all of these October surprises,

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<v Speaker 1>from Bush's d w I to the bin Laden tape

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<v Speaker 1>to Hurricane Sandy, just to deploy a few more, is

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<v Speaker 1>we're unsure about what the electoral impact is. It's very

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<v Speaker 1>hard to prove causation, and so we really don't know.

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<v Speaker 1>To use a phrase that's not often used by the media,

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<v Speaker 1>we really don't know what this means. And you know,

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<v Speaker 1>we're gonna have to wait and see what somebody who

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<v Speaker 1>probably has a good idea is Nate Silver he's become

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<v Speaker 1>almost a godlike figure for political junkies. Has any Brian?

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<v Speaker 1>He is, he is a god among geeks and I

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<v Speaker 1>include myself proudly in that category. Uh. He's he's invented

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<v Speaker 1>a whole new category really of journalism in which he

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<v Speaker 1>uses analytics and statistical models to put pulling into this

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<v Speaker 1>big machine that he's created and hopefully push wisdom out

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<v Speaker 1>that will give us a little bit of a better

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<v Speaker 1>sense about where the race actually stands. And you are

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<v Speaker 1>so excited that he's our guests on today's podcast, aren't you? Brian?

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<v Speaker 1>I am all a flutter, even from three thousand miles away.

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<v Speaker 1>I need silver welcome. It is so great to have

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<v Speaker 1>you cool, Thank you for having me, Katie. First, we

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<v Speaker 1>have to start out with comy Gate. Yeah, how big

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<v Speaker 1>a bombshell or how big an impact do you think

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<v Speaker 1>this is going to have on the election? So it's

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<v Speaker 1>a little hard to tell, which is none of a

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<v Speaker 1>very satisfying answer. Um, we began to detect another people

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<v Speaker 1>who average poles begin to detect some momentum back toward

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<v Speaker 1>Trump about a week ago, a week and a half

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<v Speaker 1>ago or so, um, where he had had a very

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<v Speaker 1>very bad string of events with three debates that he

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<v Speaker 1>was judged to have lost. UM, the UH, the access

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<v Speaker 1>Hollywood tape I'm never quite sure how to refer to

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<v Speaker 1>the P word tape. UM. And then all these accusations

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<v Speaker 1>were women that he had sexually assaulted them, and it

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<v Speaker 1>was about is a bad um a three weeks as

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<v Speaker 1>a candic can have. UM. I'm not saying any of

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<v Speaker 1>it isn't his fault, right, but you know, sometimes when

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<v Speaker 1>you go from a terrible news cycle to a better

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<v Speaker 1>new cycle, you begin to rebound just because your own

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<v Speaker 1>base begins to come home to you. So we began

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<v Speaker 1>to see Trump's numbers begin to go up, not by

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<v Speaker 1>leaps and bounds, but a little bit um as you

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<v Speaker 1>regain Republican votes. UM. And then you had Friday when

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<v Speaker 1>you have this FBI news another story. I'm not quite

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<v Speaker 1>sure how to characterize it exactly, but comy, we'll call

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<v Speaker 1>it UM. And we've seen some further tightening since then,

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<v Speaker 1>although it's not clear whether that was already baked dinner

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<v Speaker 1>because of of Comy. My impression is that UM. Trump

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<v Speaker 1>had gained one or two points on Clinton over the

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<v Speaker 1>past two weeks and maybe gained another point or so

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<v Speaker 1>UM over the weekend. And when you describe the tightening, Nate,

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<v Speaker 1>just to be clear, are you talking about Hillary going

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<v Speaker 1>down at all or is it just Trump coming up

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<v Speaker 1>with core Republican voter. That's it's the latter. We know

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<v Speaker 1>Trump's coming up. How much that is for publicans versus independence,

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<v Speaker 1>Probably a mix of both. But she's in national polls

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<v Speaker 1>she has stayed at about UM and Trump's gone from

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<v Speaker 1>now forty one or so, so he's regained some ground

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<v Speaker 1>on Clinton UM. But you know, forty one percent not

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<v Speaker 1>enough to win. For that matter, forty six percent is

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<v Speaker 1>not quite enough. So it's kind of like, you know,

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<v Speaker 1>if she gets another point or two out of her

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<v Speaker 1>base gets up to forty seven, she gets to be

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<v Speaker 1>in a pretty safe position. If she gets stuck, she's

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<v Speaker 1>probably a favorite, but it'll be more suspense on election day.

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<v Speaker 1>And if she declines, then things are really competitive. And

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<v Speaker 1>there's I guess some speculation, isn't there, that that there

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<v Speaker 1>may be something brewing at the FBI, some kind of

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<v Speaker 1>investigation involving Donald Trump, and the Democrats would like nothing

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<v Speaker 1>more than have that get leaked to say we'll wait

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<v Speaker 1>a second. They may be looking at these emails on

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<v Speaker 1>Anthony Wiener's device. That sounded dirty. I'm so sorry, but

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<v Speaker 1>they're also teen at potential bad behavior on the part

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<v Speaker 1>of Donald Trump, the Russian government and the hacking of emails.

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<v Speaker 1>Right well, Trump creates problem by Thursday, we should know,

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<v Speaker 1>I mean, incidentally, we should point out to the listeners

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<v Speaker 1>that were recording this on Monday, were in the time machine,

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<v Speaker 1>and when people hear this on Thursday, you know, we

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<v Speaker 1>could have like three or four front page New York

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<v Speaker 1>Times scandals between now and that's. I mean, it had

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<v Speaker 1>been this kind of oddly anticlimactic finish before the comy

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<v Speaker 1>thing struck. You know, the debates kind of inted early

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<v Speaker 1>this year, and it's been a long campaign, so I

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<v Speaker 1>think that's part of why people jumped on it. They

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<v Speaker 1>kind of proclaimed it to be a huge game changer,

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<v Speaker 1>um before people have seen any evidence for really what

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<v Speaker 1>it was or how it would move the polls. How

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<v Speaker 1>responsible do you think the media is for jenning this up?

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<v Speaker 1>I know you tweeted quote. The FBI story also broke

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<v Speaker 1>at the exact time when the media was eager for

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<v Speaker 1>a dramatic twist slash complication in the Clinton Coast narrative.

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<v Speaker 1>I mean, so to give a counterexample, think about Wiki leaks,

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<v Speaker 1>and that's never really broken through and been the main story,

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<v Speaker 1>in part because that was, um, We're all coming out

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<v Speaker 1>at the time that Trump was making a lot of news,

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<v Speaker 1>and by the time that Trump quieted down, Wiki leaks

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<v Speaker 1>was old news. So I do think the timing matters

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<v Speaker 1>a lot. Julian was probably so pistol and if he

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<v Speaker 1>releases in the primaries where you'd have more um, inter

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<v Speaker 1>party warfare, and that might have been more devastating for Clinton. UM.

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<v Speaker 1>But you know, I do have the sense that, um, look,

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<v Speaker 1>the media has incentives to to play up how competitive

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<v Speaker 1>the races. Trumpet had a very difficult for your weeks.

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<v Speaker 1>They were working the rests a lot, and I do

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<v Speaker 1>think that, um. And by the way, is also though

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<v Speaker 1>that you had this very exciting, devastating, impactful bulletin right

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<v Speaker 1>and then it didn't really live up to the billing,

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<v Speaker 1>and so people are are hesitant to adjust for that sometimes.

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<v Speaker 1>But it is interesting Clinton decided I'm not gonna go

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<v Speaker 1>after the media. I'm gonna go after Comey himself. If

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<v Speaker 1>it were a Republican, they would say, oh my god,

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<v Speaker 1>you made his guys made something out of nothing, and

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<v Speaker 1>you've got headline wrong on this and that. But Democrats

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<v Speaker 1>don't attack the media in the way that Republicans often

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<v Speaker 1>very effectively due to rile up their base. But Brian

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<v Speaker 1>and Nate, I mean, don't you think it's so strange

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<v Speaker 1>that there will not be any kind of resolution to

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<v Speaker 1>this whole quote unquote crisis before the election. I mean,

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<v Speaker 1>it's it's what they're There are hundreds of thousands of

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<v Speaker 1>emails or thousands anyway, I guess sid and all, but

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<v Speaker 1>a lot of those are Anthony Weiner's emails, right, Brian,

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<v Speaker 1>So what kind of impact I'm interested from you? Brian

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<v Speaker 1>n Nate? Does this kind of dark cloud have hanging

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<v Speaker 1>over Hillary Clinton's head? Are people going to dismiss it

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<v Speaker 1>and say it's a much ado about nothing? Well, we'll see.

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<v Speaker 1>I mean, there's been some reporting that the FBI would

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<v Speaker 1>try to make some characterization like, oh, there's something new

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<v Speaker 1>here or there's not right. What's too late for that? Though?

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<v Speaker 1>Maybe if there's day Friday, they can If they said

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<v Speaker 1>that Monday morning or Tuesday morning, right while people are

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<v Speaker 1>are voting, how does that affect things potentially? And by

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<v Speaker 1>the way, um, you know, a lot of people in

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<v Speaker 1>the country have voted. About a quarter of the vote

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<v Speaker 1>roughly is in in swing states with early voting, their

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<v Speaker 1>states like Nevada, where substantial numbers, maybe more than half

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<v Speaker 1>the vote will be done before election day, and so

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<v Speaker 1>you know the election is already underway. Now I've heard

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<v Speaker 1>that that is good news for Hillary Clinton in terms

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<v Speaker 1>of the way early voting is shaping up in states

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<v Speaker 1>like Florida. What are you sort of postulating from those

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<v Speaker 1>early voting returns. So it's a little tricky because Democrats

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<v Speaker 1>usually put a bigger emphasis on early voting But the

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<v Speaker 1>two states where her numbers look good are North Carolina

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<v Speaker 1>and Nevada. Um. North Carolina registration is by party Idiana

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<v Speaker 1>Nevada for that matter. UM. And so you see not

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<v Speaker 1>necessarily the African American turnout that Obama had, but you

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<v Speaker 1>see big support from highly educated white people, which in

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<v Speaker 1>North Carolina you actually have quite a few of in

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<v Speaker 1>the research triangle and Charlotte and whatnot, and they're turning out. Um,

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<v Speaker 1>we presume for Clinton in big numbers. UM. And Nevada

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<v Speaker 1>is a case where it's a low turnout state. If

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<v Speaker 1>you have a ground game the other can it does not,

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<v Speaker 1>then that's a big advantage when we should say Republicans

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<v Speaker 1>have a history of showing up in much larger numbers

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<v Speaker 1>on election day and making up deficits with early voting.

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<v Speaker 1>So it's not clear yet that there isn't gonna be

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<v Speaker 1>a huge Trump turnout on November eight, right, Um, But

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<v Speaker 1>it does mean that if you hear about a low turnout,

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<v Speaker 1>usually think of Democrats want to hire turn out. Right?

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<v Speaker 1>It could be that if you have a lower turnout

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<v Speaker 1>in some states on November eighth, then you know that

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<v Speaker 1>Democrats have already banked a lot of votes there for

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<v Speaker 1>the higher proportion of the vote, And so you know

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<v Speaker 1>which can you wants to hear reports of higher turnouts?

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<v Speaker 1>A little bit unclear this time around? Can I ask

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<v Speaker 1>a stupid question? When it comes to early voting. They

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<v Speaker 1>don't get counted until after election day, do they? So

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<v Speaker 1>what many states do is they'll report statistics by party

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<v Speaker 1>I D. So we know, for example that um, something

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<v Speaker 1>like forty thou more Democrats and Republicans have voted as

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<v Speaker 1>of Sunday in Clark County, Nevada. That Nember might be wrong,

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<v Speaker 1>but somewhere in that ballpark right. Um. Either way, people

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<v Speaker 1>in Nevada get very pissed when you call it Nevada.

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<v Speaker 1>He said, well, well, Nate said Nevada first, and then

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<v Speaker 1>I was like, you go, Nate, and Donald Trump says Nevada.

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<v Speaker 1>But the only possible thing I could teach you today

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<v Speaker 1>that you don't already know, but half my families from there,

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<v Speaker 1>and they hate Nevada. I don't know why. Let's call

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<v Speaker 1>the whole thing off. Brian, you know Savada and I

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<v Speaker 1>say Nevada. The word for a person from Utah is

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<v Speaker 1>a Utah, not a Utah. And oh I didn't know people.

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<v Speaker 1>They both sound strange syllables. See I learned something today

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<v Speaker 1>from Nate. Did you know that I did not? I

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<v Speaker 1>got us off. Let's talk about undecided voters because Brian

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<v Speaker 1>and I talked about this and we're like, who the

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<v Speaker 1>hell is undecided at this point in this crazy election?

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<v Speaker 1>Could there really be people who are saying Hillary Clinton

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<v Speaker 1>Donald Trump, which one? I love them both, right? Or

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<v Speaker 1>are the undecided really choosing between Trump or a third party,

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<v Speaker 1>or Hillary Clinton or staying at home? I mean, what

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<v Speaker 1>do we know about the pool of undecided? So we

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<v Speaker 1>know that there are people who mostly like President Obama,

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<v Speaker 1>but I think the country is on the wrong track,

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<v Speaker 1>which is a weird set of circumstances. We know that

0:12:22.720 --> 0:12:25.000
<v Speaker 1>people who mostly dislike both candidates, there aren't a lot

0:12:25.040 --> 0:12:28.600
<v Speaker 1>of people who love their choices. Um. To me, these

0:12:28.600 --> 0:12:31.200
<v Speaker 1>feel like people who might wind up staying at home

0:12:31.520 --> 0:12:35.000
<v Speaker 1>and and sitting out. UM. The only silver lining to

0:12:35.000 --> 0:12:38.319
<v Speaker 1>the Clinton campaign from comy gate is that I'm sure

0:12:38.320 --> 0:12:40.880
<v Speaker 1>they're pretty happy that they people feel the election is

0:12:41.559 --> 0:12:44.439
<v Speaker 1>compative enough that their vote matters, because you always worry

0:12:44.440 --> 0:12:47.840
<v Speaker 1>about complacency and election where there's a lot of uncertainty

0:12:48.000 --> 0:12:50.600
<v Speaker 1>and there are a lot of undecided That's how Trump wins. Right.

0:12:50.960 --> 0:12:55.600
<v Speaker 1>If Trump's undecideds come out and Clinton's don't, um, then

0:12:55.600 --> 0:13:00.120
<v Speaker 1>he has a path. It's so much about turnout, isn't it. Um.

0:13:00.280 --> 0:13:02.760
<v Speaker 1>Some states it matters more than others. I mean, if

0:13:02.800 --> 0:13:04.680
<v Speaker 1>you have early voting in a state, in some ways

0:13:04.679 --> 0:13:08.200
<v Speaker 1>there's more opportunity to take advantage of it. The ground

0:13:08.240 --> 0:13:11.600
<v Speaker 1>game probably matters more in a state like Pennsylvania where

0:13:11.600 --> 0:13:13.880
<v Speaker 1>you know who your voters are and it's just smarrogating

0:13:13.920 --> 0:13:15.679
<v Speaker 1>them to turn out. Then in a state like New

0:13:15.679 --> 0:13:17.280
<v Speaker 1>Hampshire where there are a lot of swing voters. That's

0:13:17.280 --> 0:13:21.880
<v Speaker 1>a persuasion state. Pennsylvania, North Carolina, these are states where Ohio,

0:13:22.120 --> 0:13:25.360
<v Speaker 1>these are states where it's a turnout state. Well, when

0:13:25.360 --> 0:13:27.960
<v Speaker 1>we come back, we're going to talk about what makes

0:13:28.320 --> 0:13:32.559
<v Speaker 1>Nate silver tick or analyze or I don't know what

0:13:32.600 --> 0:13:35.480
<v Speaker 1>it is you do exactly, what would you say curate?

0:13:36.120 --> 0:13:39.440
<v Speaker 1>I mean, yeah, I don't know, report, I guess in

0:13:39.440 --> 0:13:41.960
<v Speaker 1>a weird way. And and also I want to talk

0:13:42.000 --> 0:13:45.280
<v Speaker 1>to you more about polling and how reliable it is

0:13:45.400 --> 0:13:47.840
<v Speaker 1>and when it's been wrong and if it could be

0:13:47.880 --> 0:13:51.240
<v Speaker 1>wrong this go round. So we'll do that right after this.

0:14:00.960 --> 0:14:04.920
<v Speaker 1>So we asked, and you all very nicely answered. We

0:14:05.000 --> 0:14:08.000
<v Speaker 1>asked how you're coping in these final days of this

0:14:08.240 --> 0:14:13.040
<v Speaker 1>insane election cycle. Hi, Katie, this is Shelley Davy. How

0:14:13.200 --> 0:14:17.920
<v Speaker 1>I've been managing to cope through this election season is

0:14:18.040 --> 0:14:21.520
<v Speaker 1>to use them as teachable moments for my thirteen year

0:14:21.560 --> 0:14:24.480
<v Speaker 1>old and my ten year old. There's plenty of good

0:14:24.480 --> 0:14:29.080
<v Speaker 1>examples and bad examples to choose from, and with my

0:14:29.200 --> 0:14:33.640
<v Speaker 1>thirteen year old in particular, we now have a new statement.

0:14:34.600 --> 0:14:39.240
<v Speaker 1>If behavior is going badly, we say, don't be a

0:14:39.320 --> 0:14:43.080
<v Speaker 1>Donald Trump. And it usually stops him in his tracks.

0:14:43.120 --> 0:14:47.240
<v Speaker 1>Thanks for your show. Bye Wow. Oh gosh, that's a

0:14:47.280 --> 0:14:51.160
<v Speaker 1>sad commentary, isn't it, Brian? It is it is, and

0:14:51.200 --> 0:14:53.920
<v Speaker 1>we hope that some Trump supporters will call in and

0:14:54.320 --> 0:14:58.080
<v Speaker 1>let us know how they're teaching their children as well. Meanwhile,

0:14:58.120 --> 0:15:02.680
<v Speaker 1>we have another caller. Hello. My name is Madeline ben Kane,

0:15:02.720 --> 0:15:07.400
<v Speaker 1>and you asked about coping mechanisms for surviving the election.

0:15:08.040 --> 0:15:11.440
<v Speaker 1>What I do is write political limericks. Here's a sample.

0:15:11.920 --> 0:15:15.360
<v Speaker 1>It's cool going to town about the election. This election

0:15:15.480 --> 0:15:19.080
<v Speaker 1>is nearing its end. None to shoot. I've gone plunged

0:15:19.160 --> 0:15:22.120
<v Speaker 1>round the bend. I can't handle more. Gie. If my

0:15:22.200 --> 0:15:26.120
<v Speaker 1>mind's taken a dive, it needs Hillary's village to mend.

0:15:27.920 --> 0:15:30.840
<v Speaker 1>Thanks very much. I've been enjoying your podcast. Take care

0:15:30.960 --> 0:15:35.480
<v Speaker 1>bye bye. Quite a poet. I like limericks. That's very funny,

0:15:35.480 --> 0:15:39.040
<v Speaker 1>and that's actually a nice way to let off steam. Brian,

0:15:39.080 --> 0:15:41.240
<v Speaker 1>what have you been doing? Have you been doing anything

0:15:41.320 --> 0:15:45.360
<v Speaker 1>to kind of disconnect from all of this stuff? I

0:15:45.440 --> 0:15:48.680
<v Speaker 1>listened to podcasts about the election to disconnect from the

0:15:48.680 --> 0:15:53.800
<v Speaker 1>election generally. Nate Silver, it's always great to talk to you.

0:15:53.880 --> 0:15:56.120
<v Speaker 1>Do you feel like a rock star because all my

0:15:56.160 --> 0:16:00.440
<v Speaker 1>friends say, Nate Silver says, well, I've had Nate Silver.

0:16:01.000 --> 0:16:03.720
<v Speaker 1>I mean, they drop your name like it's going out

0:16:03.720 --> 0:16:06.520
<v Speaker 1>of style, just having funny to you. It's weird. I mean,

0:16:06.960 --> 0:16:08.800
<v Speaker 1>you know, it happens once every four years, then a

0:16:08.880 --> 0:16:11.480
<v Speaker 1>very small spike around the mid term before we talk

0:16:11.560 --> 0:16:15.320
<v Speaker 1>more about this crazy campaign. By the way, do you

0:16:15.320 --> 0:16:17.280
<v Speaker 1>feel like that's all you can talk about? And do

0:16:17.320 --> 0:16:19.040
<v Speaker 1>you wonder what you're going to start talking about on

0:16:19.080 --> 0:16:23.160
<v Speaker 1>November nine? I mean, I found some Frequent Flower Award

0:16:23.160 --> 0:16:26.560
<v Speaker 1>tickets to Italy And are you going to go away? Yeah,

0:16:26.800 --> 0:16:29.200
<v Speaker 1>I mean not right away, because there's a lot of

0:16:29.280 --> 0:16:32.040
<v Speaker 1>risk of their being after math. I mean, just think

0:16:32.080 --> 0:16:34.760
<v Speaker 1>of all the scenarios between recounts. And by the way,

0:16:34.760 --> 0:16:36.840
<v Speaker 1>the senate's really close now too, and so you could

0:16:36.840 --> 0:16:39.320
<v Speaker 1>have a recount in a Senate race that matters between

0:16:39.360 --> 0:16:42.000
<v Speaker 1>I hope not, but civil unrest between an electoral college

0:16:42.000 --> 0:16:45.040
<v Speaker 1>popular route split, which is a likelier outcome than people

0:16:45.120 --> 0:16:49.680
<v Speaker 1>might think. Um, so you know, and just if Trump loses,

0:16:50.280 --> 0:16:53.320
<v Speaker 1>does he concede? If Trump wins, how is the country react?

0:16:53.440 --> 0:16:57.120
<v Speaker 1>I mean, yeah, but no, I mean it makes me

0:16:57.200 --> 0:16:59.480
<v Speaker 1>exhausted just thinking about it. Now. That's to dinner, and

0:16:59.520 --> 0:17:01.920
<v Speaker 1>the other table near me was talking about how Maine

0:17:01.920 --> 0:17:05.600
<v Speaker 1>in Nebraska they're not my friends, right, split their votes

0:17:05.640 --> 0:17:08.440
<v Speaker 1>by congressional district, and so people are it's very hard

0:17:08.440 --> 0:17:11.800
<v Speaker 1>to get away from the election. Um let's talk. Let's

0:17:11.800 --> 0:17:14.840
<v Speaker 1>talk about you, Nate, shall we. You grew up in Michigan.

0:17:15.359 --> 0:17:17.960
<v Speaker 1>What's a nice boy like you doing in a crazy

0:17:18.000 --> 0:17:20.720
<v Speaker 1>business like this? And it's kind of unintentional, you know,

0:17:20.800 --> 0:17:23.800
<v Speaker 1>I covered? Um So, I went to college, got agree

0:17:23.800 --> 0:17:26.959
<v Speaker 1>in economics from the University of Chicago and Chicago, got

0:17:27.040 --> 0:17:30.760
<v Speaker 1>a consult go Cubs. I was, got a consulting job,

0:17:30.800 --> 0:17:33.040
<v Speaker 1>got bored, started working on the side to develop a

0:17:33.080 --> 0:17:35.919
<v Speaker 1>midle of the forecast how baseball players we do and

0:17:35.960 --> 0:17:39.400
<v Speaker 1>write about baseball for several years, um and then figure

0:17:39.400 --> 0:17:41.960
<v Speaker 1>out if people are spending all this time doing analytics

0:17:41.960 --> 0:17:44.720
<v Speaker 1>on Baseball's was the time when shortly after Moneyball came out,

0:17:45.320 --> 0:17:48.040
<v Speaker 1>I want to take the same approach towards politics. And

0:17:48.080 --> 0:17:50.960
<v Speaker 1>this was in early or late two thousand and seven.

0:17:51.280 --> 0:17:54.919
<v Speaker 1>Um So, you had a spectacular Democratic primary, very interesting

0:17:54.960 --> 0:17:58.440
<v Speaker 1>for that matter, Republican primary, and then a historic general election.

0:17:58.880 --> 0:18:01.080
<v Speaker 1>Um So, it was kind of being in the right

0:18:01.080 --> 0:18:03.199
<v Speaker 1>place at the right time. It's so interesting to me

0:18:03.200 --> 0:18:06.800
<v Speaker 1>because you grew up with your two passions math and sports, right,

0:18:07.000 --> 0:18:10.440
<v Speaker 1>So so how did that morph into politics? I mean

0:18:11.080 --> 0:18:13.560
<v Speaker 1>just because my frustration, because you've seen progress in the

0:18:13.560 --> 0:18:16.639
<v Speaker 1>way sports was covered became more analytical, a little smarter.

0:18:17.000 --> 0:18:21.280
<v Speaker 1>Um And you know, UM, I'm not sure that's true

0:18:21.280 --> 0:18:23.720
<v Speaker 1>of political coverage. I mean, very much value good reporting,

0:18:23.840 --> 0:18:28.359
<v Speaker 1>but um, but the average pundit is not particularly data driven,

0:18:28.359 --> 0:18:30.159
<v Speaker 1>doesn't know that much about polling, makes a lot of

0:18:30.160 --> 0:18:33.480
<v Speaker 1>assertions without evidence. UM than two thousand eight, for example,

0:18:33.720 --> 0:18:36.399
<v Speaker 1>people were like, well, Hillary is gonna win for sure

0:18:36.520 --> 0:18:39.040
<v Speaker 1>in Obama, you know, too far behind. Of course that

0:18:39.080 --> 0:18:42.280
<v Speaker 1>was before Iowa and Iowa UM is often more predictive

0:18:42.280 --> 0:18:45.520
<v Speaker 1>the results than than national polls early in the primary race.

0:18:45.560 --> 0:18:48.040
<v Speaker 1>So it's more out of frustration where it's like, I

0:18:48.080 --> 0:18:50.439
<v Speaker 1>have to build this myself. I guess, Nate, where do

0:18:50.480 --> 0:18:53.080
<v Speaker 1>you go from here? Are you going to continue to

0:18:53.119 --> 0:18:55.080
<v Speaker 1>be with five thirty eight? I know you're working with

0:18:55.359 --> 0:19:00.040
<v Speaker 1>ESPN and ABC now you deep kind of through the

0:19:00.080 --> 0:19:03.920
<v Speaker 1>New York Times over there. You dumped the New York Times,

0:19:04.040 --> 0:19:07.040
<v Speaker 1>which is, well, who does that need? We're only we're

0:19:07.040 --> 0:19:09.040
<v Speaker 1>only two blocks in a building they might be listening

0:19:09.040 --> 0:19:11.800
<v Speaker 1>in on this, but um no, look five three D

0:19:11.880 --> 0:19:14.199
<v Speaker 1>is a whole wonderful biased website and then we have

0:19:14.240 --> 0:19:18.120
<v Speaker 1>thirty or thirty five journalists working for us. We cover economics, sports,

0:19:18.200 --> 0:19:20.359
<v Speaker 1>politics that aren't just elections, and so we have a

0:19:20.440 --> 0:19:24.280
<v Speaker 1>robust site. I know people love our election coverage, um,

0:19:24.320 --> 0:19:27.320
<v Speaker 1>but we're looking forward to getting a little bit of rest, um,

0:19:27.560 --> 0:19:32.320
<v Speaker 1>to letting our non politics coverage shine. But also there

0:19:32.359 --> 0:19:35.840
<v Speaker 1>are going to be consequences to this election, win or lose.

0:19:35.880 --> 0:19:39.639
<v Speaker 1>They're going to persist for for many years. If you

0:19:39.680 --> 0:19:41.760
<v Speaker 1>cover policial living. It's good in that sense that you're

0:19:41.800 --> 0:19:45.280
<v Speaker 1>not going to be bored anytime soon. Um, but it's

0:19:45.320 --> 0:19:47.840
<v Speaker 1>going to take a lot of time again regardless of

0:19:47.840 --> 0:19:52.800
<v Speaker 1>who wins, too to unwrap everything that's that's happened. You

0:19:52.880 --> 0:19:56.760
<v Speaker 1>wrote a piece actually about why you got Trump so wrong. Yeah,

0:19:57.040 --> 0:20:01.399
<v Speaker 1>until November December, until about a year ago, Um, we

0:20:01.400 --> 0:20:04.400
<v Speaker 1>were quite skeptical. And why was that? I mean, did

0:20:04.400 --> 0:20:06.679
<v Speaker 1>you just not see it coming? Or well, you know,

0:20:07.080 --> 0:20:10.600
<v Speaker 1>there aren't a lot of historical examples of primaries or

0:20:10.600 --> 0:20:16.000
<v Speaker 1>seven team way primaries, but look, Trump did violate um,

0:20:16.040 --> 0:20:18.919
<v Speaker 1>a lot of history where there's never been anything remotely

0:20:18.960 --> 0:20:21.640
<v Speaker 1>like this, at least in my lifetime. I'm thirty eight.

0:20:21.680 --> 0:20:23.919
<v Speaker 1>And if you're making forecasts, you're kind of trying to

0:20:23.960 --> 0:20:29.800
<v Speaker 1>make extrapolations from history. So when something unusual happens, Um,

0:20:29.840 --> 0:20:32.400
<v Speaker 1>you're liable to get that wrong. The question is still,

0:20:32.440 --> 0:20:34.600
<v Speaker 1>if you kind of replayed that race a hundred times,

0:20:35.080 --> 0:20:36.879
<v Speaker 1>how often would Trump when I mean, I don't know,

0:20:36.920 --> 0:20:39.440
<v Speaker 1>I mean, he proved that there's a very different Republican

0:20:39.480 --> 0:20:44.800
<v Speaker 1>electorate than a lot of us thought. On the other hand, Um,

0:20:44.840 --> 0:20:47.320
<v Speaker 1>he had the element of surprise where there hadn't been

0:20:47.320 --> 0:20:50.159
<v Speaker 1>a candidate like him, Um, where he committed so much

0:20:50.160 --> 0:20:52.880
<v Speaker 1>attention to kind of rode the momentum from the polls

0:20:53.000 --> 0:20:54.760
<v Speaker 1>and made sure that he took up so much oxygen

0:20:54.800 --> 0:20:57.520
<v Speaker 1>that you could never have remember the day when Um

0:20:58.080 --> 0:21:00.879
<v Speaker 1>kind of brilliant, tactically right. Rubio had had some debate,

0:21:00.880 --> 0:21:02.760
<v Speaker 1>I forget which one. There were so many some debate

0:21:02.800 --> 0:21:06.120
<v Speaker 1>whe Rubio done really well, was getting very good buzz. Um.

0:21:06.480 --> 0:21:07.800
<v Speaker 1>It was kind of catching up to Trump. And then

0:21:07.800 --> 0:21:11.000
<v Speaker 1>that's when Trump unveiled Chris Christie's endorsementyone dropped what they

0:21:11.040 --> 0:21:13.160
<v Speaker 1>were doing and went and covered Trump and of course

0:21:13.160 --> 0:21:15.800
<v Speaker 1>it was very theatrical. They had like flown Chris Christie

0:21:15.800 --> 0:21:19.960
<v Speaker 1>out somewhere surreptitiously. Um so his sense of theater and

0:21:20.000 --> 0:21:22.280
<v Speaker 1>a sense of kind of how do you cater to

0:21:22.320 --> 0:21:25.640
<v Speaker 1>the twenty of people who are really interested in your product?

0:21:26.040 --> 0:21:27.879
<v Speaker 1>I mean that was a very trying out to be

0:21:28.000 --> 0:21:30.760
<v Speaker 1>very helpful instinct for him. But you know, it does

0:21:30.840 --> 0:21:33.120
<v Speaker 1>go against a lot of history. You guess what I'm

0:21:33.119 --> 0:21:36.679
<v Speaker 1>saying is that at some point, um, the polls override

0:21:37.320 --> 0:21:39.439
<v Speaker 1>the history. At some point, when you get into November

0:21:39.560 --> 0:21:43.040
<v Speaker 1>December and Trump has a big lead nationally and a

0:21:43.119 --> 0:21:46.480
<v Speaker 1>lade in most wing states, um or most early primary states,

0:21:46.480 --> 0:21:48.600
<v Speaker 1>I should say then I think we're a little slow

0:21:48.600 --> 0:21:51.240
<v Speaker 1>on the draw there, certainly. Well, and it's interesting you

0:21:51.240 --> 0:21:57.640
<v Speaker 1>you assigned very specific odds or percentages to Trump's chances.

0:21:57.840 --> 0:22:02.440
<v Speaker 1>You put his chances at two percent in August and December.

0:22:04.720 --> 0:22:07.760
<v Speaker 1>I think people would be really interested in kind of

0:22:08.000 --> 0:22:11.080
<v Speaker 1>peeling back the curtain and learning a little bit more

0:22:11.080 --> 0:22:15.560
<v Speaker 1>about how the eight machine works and why the process

0:22:15.600 --> 0:22:18.440
<v Speaker 1>for assigning odds to Trump was so different from what

0:22:18.480 --> 0:22:22.159
<v Speaker 1>you're doing right now. Well, I think people lose the context,

0:22:22.520 --> 0:22:26.520
<v Speaker 1>and you know, I kind of think in percentages, right,

0:22:26.600 --> 0:22:28.360
<v Speaker 1>you know, kind of if someone's like, what's the chance

0:22:28.400 --> 0:22:31.120
<v Speaker 1>you want to get Italian food tonight or whatever? Right?

0:22:32.240 --> 0:22:36.480
<v Speaker 1>When people putting often probably maybe I don't know. Um.

0:22:36.600 --> 0:22:39.480
<v Speaker 1>When um, when we put numbers some things, people assume

0:22:39.520 --> 0:22:41.480
<v Speaker 1>that means it's a model, and usually it is. Right

0:22:41.480 --> 0:22:44.200
<v Speaker 1>when we say that Clinton has a seventy four chance

0:22:44.240 --> 0:22:47.400
<v Speaker 1>of winning, that comes from an algorithm. A program will

0:22:47.440 --> 0:22:49.760
<v Speaker 1>just kind of feed data in. Obviously there's a lot

0:22:49.800 --> 0:22:51.480
<v Speaker 1>of thought and how the programs put together. It's not

0:22:51.560 --> 0:22:54.040
<v Speaker 1>like it has a mind of its own. Um, But

0:22:54.119 --> 0:22:56.800
<v Speaker 1>you know that is the output from a computer program.

0:22:57.040 --> 0:22:59.879
<v Speaker 1>The Trump forecast were we're not and I think in

0:23:00.000 --> 0:23:03.639
<v Speaker 1>the future, to be honest, we're gonna avoid putting numbers

0:23:03.640 --> 0:23:06.560
<v Speaker 1>on things unless it actually is the output of a

0:23:06.600 --> 0:23:09.560
<v Speaker 1>model or a forecast. And when you talk about feeding

0:23:09.560 --> 0:23:13.840
<v Speaker 1>in the data, you're talking about aggregating a whole bunch

0:23:13.880 --> 0:23:19.280
<v Speaker 1>of polls. Basically every poll is incorporated in the model

0:23:19.480 --> 0:23:23.080
<v Speaker 1>in in some way, right, Um, And it's all automated.

0:23:23.080 --> 0:23:25.000
<v Speaker 1>I mean, someone has to manually enter in the polls.

0:23:25.119 --> 0:23:27.880
<v Speaker 1>But whenever a polls entered into a database, that triggers

0:23:27.880 --> 0:23:30.320
<v Speaker 1>a run of the forecast that occurs on a server

0:23:30.520 --> 0:23:36.200
<v Speaker 1>and so we're not intervening in the program once it's built. Um,

0:23:36.280 --> 0:23:38.119
<v Speaker 1>there can be bugs, and we fix the bugs to

0:23:38.160 --> 0:23:40.760
<v Speaker 1>be honest. But um, that's why I like all they say, Oh,

0:23:40.840 --> 0:23:44.760
<v Speaker 1>Nate's giving Clinton chance now in Pennsylvania. It's like, not really.

0:23:44.800 --> 0:23:47.399
<v Speaker 1>I mean, it's like a computer program that my colleagues

0:23:47.400 --> 0:23:50.840
<v Speaker 1>and I designed has given her that chance based on

0:23:50.840 --> 0:23:53.320
<v Speaker 1>on polls that are kind of automatically fit into the model.

0:23:53.480 --> 0:23:55.639
<v Speaker 1>And then I guess that's a perfect segue though, Brian

0:23:55.720 --> 0:23:58.720
<v Speaker 1>to the question about how how accurate are these polls?

0:23:58.840 --> 0:24:02.399
<v Speaker 1>You know, there's been so speculation about polling today and

0:24:02.480 --> 0:24:07.760
<v Speaker 1>about are they really legitimate reflections of the electorate. Uh,

0:24:08.359 --> 0:24:11.160
<v Speaker 1>you know, I know the response rate for posters has

0:24:11.200 --> 0:24:15.919
<v Speaker 1>gone down. Now there's online polling, there's telephone polling. Um,

0:24:16.640 --> 0:24:19.399
<v Speaker 1>there there's a lot of talk about a secret Trump

0:24:19.480 --> 0:24:22.800
<v Speaker 1>vote that's not being reflected honestly in the polls because

0:24:22.840 --> 0:24:25.960
<v Speaker 1>people are embarrassed to say they're supporting Donald Trump. So

0:24:26.200 --> 0:24:27.879
<v Speaker 1>where do you stand on all of this? And does

0:24:27.920 --> 0:24:30.280
<v Speaker 1>it worry you that the data you're using to come

0:24:30.359 --> 0:24:34.320
<v Speaker 1>up with these percentages just isn't right? So the percentages

0:24:34.520 --> 0:24:37.480
<v Speaker 1>account for the possible of the polls could be systematically wrong.

0:24:37.600 --> 0:24:41.960
<v Speaker 1>So again, we're recording this on on Monday. As of Monday,

0:24:42.280 --> 0:24:46.200
<v Speaker 1>Clinton is ahead in the polls in more than enough states. Right.

0:24:46.240 --> 0:24:50.000
<v Speaker 1>She's ahead in the polls in Pennsylvania and North Carolina, Nevada,

0:24:50.160 --> 0:24:54.040
<v Speaker 1>New Hampshire, more than enough states. Right. However, Um, there's

0:24:54.040 --> 0:24:55.480
<v Speaker 1>a chance of polls could be wrong, and we say

0:24:55.520 --> 0:24:58.439
<v Speaker 1>there's a chance that Trump could win. Some of that

0:24:58.520 --> 0:25:01.280
<v Speaker 1>is the possibility of another October surprise or November surprise.

0:25:01.320 --> 0:25:03.840
<v Speaker 1>It would be at this point, um. But it's also

0:25:03.880 --> 0:25:07.520
<v Speaker 1>that the polls could turn out to be relatively far off.

0:25:07.560 --> 0:25:09.760
<v Speaker 1>I mean to have a four or five point polling

0:25:09.800 --> 0:25:12.040
<v Speaker 1>nous is on the high side, but not unheard of.

0:25:12.320 --> 0:25:14.640
<v Speaker 1>In the Brexit vote, you had about a four point

0:25:14.720 --> 0:25:18.399
<v Speaker 1>miss in two thousand people. Forget this one. Bush was

0:25:18.440 --> 0:25:21.639
<v Speaker 1>favored by three or four points in the popular vote

0:25:21.920 --> 0:25:24.880
<v Speaker 1>and lost the popular vote. But you know, we actually

0:25:24.920 --> 0:25:27.960
<v Speaker 1>have the model that gives the best chance to Trump.

0:25:27.960 --> 0:25:29.760
<v Speaker 1>There are other people who have models that process the

0:25:29.840 --> 0:25:33.159
<v Speaker 1>data in a different way that literally give him a

0:25:33.280 --> 0:25:35.919
<v Speaker 1>one percent chance. When we say it's a chance, and

0:25:35.960 --> 0:25:39.960
<v Speaker 1>we think those models do not account sufficiently for the

0:25:40.000 --> 0:25:42.919
<v Speaker 1>possibility of a of a systematic error in the polling.

0:25:43.600 --> 0:25:45.679
<v Speaker 1>And just to break this down a little bit further,

0:25:46.240 --> 0:25:49.800
<v Speaker 1>when you build your model, do you assign greater weight

0:25:49.920 --> 0:25:52.520
<v Speaker 1>or influence to certain polls that you think are better

0:25:52.560 --> 0:25:55.520
<v Speaker 1>than others? Because I know a lot of campaign professionals

0:25:55.560 --> 0:25:58.160
<v Speaker 1>look at some public polls and say, you know, those

0:25:58.200 --> 0:26:04.280
<v Speaker 1>are well done and others that they think are just crap. Yeah. UM,

0:26:04.320 --> 0:26:07.880
<v Speaker 1>you know, we do weight polls based on a formula

0:26:08.000 --> 0:26:11.600
<v Speaker 1>that looks at how accurate they've been historically. Plus UM

0:26:11.640 --> 0:26:14.919
<v Speaker 1>a couple of methodological benchmarks. So one is are you

0:26:15.080 --> 0:26:18.280
<v Speaker 1>a live collar poll that calls cell phones as well

0:26:18.320 --> 0:26:20.560
<v Speaker 1>as landlines. It's still kind of the gold industry standard

0:26:20.560 --> 0:26:24.920
<v Speaker 1>practice UM. And number two is are you part of

0:26:25.400 --> 0:26:30.639
<v Speaker 1>UM disclosure and transparency initiatives where the pulster is revealing

0:26:31.160 --> 0:26:34.840
<v Speaker 1>substantial amounts of information about how the poll was conducted,

0:26:35.280 --> 0:26:38.960
<v Speaker 1>who was called, everything else? Right. On the other hand,

0:26:39.560 --> 0:26:41.720
<v Speaker 1>you know, we want to try and use all the

0:26:41.800 --> 0:26:47.280
<v Speaker 1>data that we can. UM. As response rates to telephone

0:26:47.280 --> 0:26:52.600
<v Speaker 1>poles decrease, online polls, we actually respond to more UM.

0:26:52.640 --> 0:26:54.359
<v Speaker 1>The problem is that it's hard to get a random

0:26:54.400 --> 0:26:57.960
<v Speaker 1>sample online, So Frankly, we're happy. I think that we

0:26:58.080 --> 0:27:01.760
<v Speaker 1>have the mix we have right now of telephone polls

0:27:01.800 --> 0:27:04.119
<v Speaker 1>and online polls. They don't always tell the same story.

0:27:04.119 --> 0:27:08.000
<v Speaker 1>The online polls have the race a little closer. Um,

0:27:08.080 --> 0:27:10.639
<v Speaker 1>they also show a steadier race, though they tend not

0:27:10.720 --> 0:27:13.840
<v Speaker 1>to show the swings that telephone poles do. And then

0:27:13.840 --> 0:27:15.400
<v Speaker 1>why is that and why is it harder to get

0:27:15.400 --> 0:27:18.320
<v Speaker 1>a random sampling online? I don't understand that because I

0:27:18.320 --> 0:27:21.680
<v Speaker 1>can call you, so it used to be probably not anymore, right, Um,

0:27:21.760 --> 0:27:23.520
<v Speaker 1>But I used to could call you or your family

0:27:23.800 --> 0:27:26.960
<v Speaker 1>by randomly dialing a number on the phone, right, And

0:27:27.000 --> 0:27:29.520
<v Speaker 1>I know that let's say seven seven, two four or

0:27:29.520 --> 0:27:32.040
<v Speaker 1>three six and then dotill last four. We know that

0:27:32.200 --> 0:27:34.840
<v Speaker 1>those prefixes or suffixes work, right, right, That's how I

0:27:34.880 --> 0:27:37.160
<v Speaker 1>used to make crank calls in junior high. Yeah, right,

0:27:37.280 --> 0:27:42.200
<v Speaker 1>it's the same principle. But now, um, that's become much harder.

0:27:42.240 --> 0:27:44.720
<v Speaker 1>People number one don't us their phone number two. People

0:27:44.720 --> 0:27:46.679
<v Speaker 1>don't necessarily have land lines to begin with. They have

0:27:46.720 --> 0:27:49.439
<v Speaker 1>cell phones. The phone number, you know, I still have

0:27:49.520 --> 0:27:52.000
<v Speaker 1>a a Chicago area cell phone number. I've lived in

0:27:52.000 --> 0:27:55.800
<v Speaker 1>New York for for seven years. Interesting, it's just find

0:27:55.800 --> 0:27:58.320
<v Speaker 1>ways around that. But you know, but so it's becoming

0:27:58.359 --> 0:28:01.280
<v Speaker 1>hard to get some randomly, it's still it's easier, at

0:28:01.359 --> 0:28:05.000
<v Speaker 1>least in theory. UM. Then, I mean, how kind of

0:28:05.080 --> 0:28:08.399
<v Speaker 1>randomly ping someone online? Do I have their email? I

0:28:08.400 --> 0:28:10.520
<v Speaker 1>mean maybe if I'm the N s A or something

0:28:10.560 --> 0:28:13.879
<v Speaker 1>I do. Right, You know, some services trying to interrupt you.

0:28:13.920 --> 0:28:16.440
<v Speaker 1>Instead of showing you an AD, they'll show you a poll.

0:28:16.840 --> 0:28:20.399
<v Speaker 1>But if you're perturbed by that interruption, you might just

0:28:20.440 --> 0:28:23.840
<v Speaker 1>click on whatever candidate's name you see first to get through.

0:28:23.960 --> 0:28:26.439
<v Speaker 1>And it's interesting. I get those sometimes, Brian, do you

0:28:26.480 --> 0:28:28.760
<v Speaker 1>when you're reading an article or you're online. I get

0:28:28.800 --> 0:28:32.040
<v Speaker 1>these polls, but I always think they're crazy spam and

0:28:32.080 --> 0:28:35.240
<v Speaker 1>if I open it, someone will infect my whole Gmail

0:28:35.240 --> 0:28:38.720
<v Speaker 1>account or yeah, who can actually the opposite. I don't.

0:28:39.160 --> 0:28:42.760
<v Speaker 1>I don't respond online polls, but I do sometimes respond

0:28:42.760 --> 0:28:45.080
<v Speaker 1>to telephone posters, but I don't know. They scare me.

0:28:45.120 --> 0:28:46.960
<v Speaker 1>The online poll scare me because you never know if

0:28:46.960 --> 0:28:48.840
<v Speaker 1>they're legitimate or not, and what they're going to do

0:28:48.960 --> 0:28:52.000
<v Speaker 1>to your and our legitimate you know. And the key

0:28:52.000 --> 0:28:56.120
<v Speaker 1>differentiator is is a poll trying to get a random

0:28:56.120 --> 0:28:59.760
<v Speaker 1>and representative sample of the electorate. Um You can try

0:28:59.760 --> 0:29:02.440
<v Speaker 1>and do that and still screw it up. But are

0:29:02.480 --> 0:29:04.240
<v Speaker 1>you trying to do it versus a poll which is

0:29:04.480 --> 0:29:09.400
<v Speaker 1>purely voluntary, right that the Drudge Report quote unquote poll

0:29:09.600 --> 0:29:11.600
<v Speaker 1>or the local news station that has a quote unquote

0:29:11.640 --> 0:29:13.680
<v Speaker 1>poll that people can just click from anywhere as many

0:29:13.680 --> 0:29:16.640
<v Speaker 1>times as they want. Those don't tell you anything. It

0:29:16.760 --> 0:29:19.840
<v Speaker 1>So the polls that Trump sites that showed him winning

0:29:19.840 --> 0:29:23.920
<v Speaker 1>all three debate we're not scientific polls. And I think

0:29:23.920 --> 0:29:26.600
<v Speaker 1>a lot of people misunderstood that well. I think he's

0:29:26.640 --> 0:29:30.160
<v Speaker 1>deliberately obscuring the boundary. Now the resist tightened a little bit.

0:29:30.160 --> 0:29:32.440
<v Speaker 1>All of a sudden, he cites these polls that he likes, right,

0:29:32.440 --> 0:29:36.080
<v Speaker 1>He's very opportunistic, although, to be honest, lots of people

0:29:36.080 --> 0:29:39.880
<v Speaker 1>are opportunistic about Oh, all of a sudden, you know. Um,

0:29:39.920 --> 0:29:42.040
<v Speaker 1>I mean, we're probably with ABC News some little biased here,

0:29:42.040 --> 0:29:45.000
<v Speaker 1>but ABC News Watchington Post Bowl is a very good poll,

0:29:45.360 --> 0:29:47.680
<v Speaker 1>um good track record. When it went from showing a

0:29:47.720 --> 0:29:50.280
<v Speaker 1>twelve point lead for Clinton to a one point lead,

0:29:50.680 --> 0:29:53.160
<v Speaker 1>um Democrats all of a sudden found a lot of

0:29:53.160 --> 0:29:55.920
<v Speaker 1>methodological flaws they hadn't thought about before. But that does

0:29:55.920 --> 0:29:59.960
<v Speaker 1>seem kind of like a huge, huge drop in her support.

0:30:00.400 --> 0:30:03.280
<v Speaker 1>That's why you take an average, right. I mean, the

0:30:03.360 --> 0:30:06.760
<v Speaker 1>key is you never take anyone poll to be the

0:30:06.800 --> 0:30:11.600
<v Speaker 1>gospel truth. Right. You treat every individual polling result skeptically.

0:30:11.720 --> 0:30:15.360
<v Speaker 1>And yet lo and behold, if you're able to aggregate,

0:30:15.960 --> 0:30:18.320
<v Speaker 1>um several dozen polls together, you can get a pretty

0:30:18.320 --> 0:30:21.360
<v Speaker 1>accurate reading, usually on the race. And what about is

0:30:21.400 --> 0:30:24.600
<v Speaker 1>Katie mentioned this theory that has a lot of sway

0:30:24.640 --> 0:30:27.760
<v Speaker 1>among Trump supporters that there are missing millions of white

0:30:27.840 --> 0:30:31.480
<v Speaker 1>voters whom Trump is gonna energize and bring out to

0:30:31.560 --> 0:30:33.880
<v Speaker 1>the polls. I mean, look, on the one hand, we

0:30:33.920 --> 0:30:37.840
<v Speaker 1>say there as a possibility of an error in either direction. Um.

0:30:37.880 --> 0:30:41.200
<v Speaker 1>It could also be that UM polls are under sampling

0:30:41.320 --> 0:30:44.920
<v Speaker 1>Latino voters, for example, especially those that don't speak English.

0:30:45.120 --> 0:30:47.000
<v Speaker 1>But I would say a couple of things about Trump supporters.

0:30:47.040 --> 0:30:50.280
<v Speaker 1>Number one, Um, you didn't see this happen in the

0:30:50.360 --> 0:30:53.360
<v Speaker 1>primaries where Trump was underestimated by people like me, but

0:30:53.360 --> 0:30:54.920
<v Speaker 1>not based on the polls. The polls actually did a

0:30:55.000 --> 0:30:57.440
<v Speaker 1>very good job of pegging Trump's vote. In fact, there

0:30:57.440 --> 0:31:00.200
<v Speaker 1>were some states like Iowa where he was overestimated by

0:31:00.200 --> 0:31:03.800
<v Speaker 1>the polls. UM. And number two, you know the notion

0:31:03.840 --> 0:31:05.640
<v Speaker 1>of a shy Trump voter. I'm not sure how many

0:31:05.680 --> 0:31:07.600
<v Speaker 1>Trump voters you've met, but shy is not the first

0:31:07.600 --> 0:31:11.000
<v Speaker 1>word that would come to mind. Um, not so much shy.

0:31:11.240 --> 0:31:15.120
<v Speaker 1>But I think there are there there, at least people

0:31:15.200 --> 0:31:19.800
<v Speaker 1>that I have met who I think are not outwardly

0:31:20.120 --> 0:31:24.320
<v Speaker 1>supporting him, but would tell you privately, or tell some

0:31:24.360 --> 0:31:28.480
<v Speaker 1>people privately that they were supporting him. I don't know

0:31:28.600 --> 0:31:32.080
<v Speaker 1>any of these secret Trump supporters. The Trump supporters I

0:31:32.120 --> 0:31:34.000
<v Speaker 1>know are pretty loud and proud about it, but I

0:31:34.080 --> 0:31:37.040
<v Speaker 1>keep hearing these stories that you know, there are Trump

0:31:37.080 --> 0:31:39.320
<v Speaker 1>supporters who don't want to tell their liberal friends at

0:31:39.320 --> 0:31:41.640
<v Speaker 1>dinner parties and don't want to incite a big argument,

0:31:41.680 --> 0:31:44.160
<v Speaker 1>and so they don't mention it. But we'll see on

0:31:44.200 --> 0:31:47.720
<v Speaker 1>election day. And you know, why is Donald Trump doing

0:31:47.800 --> 0:31:51.600
<v Speaker 1>so well among non college educated white voters? Is there

0:31:51.640 --> 0:31:55.040
<v Speaker 1>anything in your sort of data other than the fact

0:31:55.080 --> 0:31:57.920
<v Speaker 1>that his message is resonating and that there are a

0:31:57.960 --> 0:32:02.040
<v Speaker 1>lot of people in this country who feel marginalized and disenfranchised.

0:32:02.560 --> 0:32:04.400
<v Speaker 1>I mean, so to put a little perspective on this,

0:32:04.560 --> 0:32:09.160
<v Speaker 1>you know, Trump isn't doing that well except relatively speaking. Right,

0:32:09.240 --> 0:32:11.760
<v Speaker 1>He's only has even with his search lightly only has

0:32:11.760 --> 0:32:15.760
<v Speaker 1>about forty one the vote. That's pretty low. Mitt Romney

0:32:15.760 --> 0:32:19.600
<v Speaker 1>got forty seven per cent. UM, but you know, bad

0:32:19.720 --> 0:32:24.120
<v Speaker 1>number from bad number from Romney. UM. To be perfectly honest,

0:32:24.680 --> 0:32:30.239
<v Speaker 1>I think the data suggests that UM, racial anxiety is

0:32:30.280 --> 0:32:34.040
<v Speaker 1>strongly correlated with some types of Trump supporters. That's part

0:32:34.080 --> 0:32:38.520
<v Speaker 1>of it. UM. Part of it also is that UM

0:32:38.600 --> 0:32:40.520
<v Speaker 1>that he gets a lot of loyal Republicans, not all

0:32:40.560 --> 0:32:44.160
<v Speaker 1>of them, but some of them to turn out for him. UM.

0:32:44.320 --> 0:32:46.120
<v Speaker 1>I think part of it is that there's a certain

0:32:46.720 --> 0:32:51.959
<v Speaker 1>anti elitism, and Trump has become a champion kind of

0:32:51.960 --> 0:32:53.800
<v Speaker 1>culturally of the working class. I think it has more

0:32:53.840 --> 0:32:57.880
<v Speaker 1>to do with culture than economics per se. And this

0:32:57.960 --> 0:33:01.920
<v Speaker 1>is a big debate in the literature. UM and culture

0:33:01.960 --> 0:33:05.640
<v Speaker 1>and race and economics education. These are all blurry boundaries

0:33:05.680 --> 0:33:09.680
<v Speaker 1>between those categories. UM. But certainly in the primaries of

0:33:09.760 --> 0:33:12.560
<v Speaker 1>states where Trump did well are places where you historically

0:33:12.600 --> 0:33:16.640
<v Speaker 1>had higher rates of anti black racism. One in the

0:33:16.680 --> 0:33:22.720
<v Speaker 1>general election, isn't hyperpartisanship a huge factor? You know, Ronald

0:33:22.760 --> 0:33:25.600
<v Speaker 1>Reagan got about a quarter of the Democratic vote. It's

0:33:25.640 --> 0:33:29.400
<v Speaker 1>hard to imagine anything like that happening today because we

0:33:29.480 --> 0:33:33.040
<v Speaker 1>all live in our little bubbles and we get information

0:33:33.080 --> 0:33:35.680
<v Speaker 1>that reinforces what we already believe. And so if you're

0:33:35.680 --> 0:33:38.960
<v Speaker 1>a Republican, I think you kind of think Hillary is

0:33:39.000 --> 0:33:42.320
<v Speaker 1>worse as bad as Trump is on some stuff. You

0:33:42.400 --> 0:33:45.719
<v Speaker 1>probably think, you know, based on everything you're hearing. I mean,

0:33:45.720 --> 0:33:48.520
<v Speaker 1>we all get so used talking about Trump, but um,

0:33:48.760 --> 0:33:52.640
<v Speaker 1>most Hillary voters are voting for Clinton because of Clinton,

0:33:53.200 --> 0:33:56.360
<v Speaker 1>and most Trump voters voting for Trump because of Clinton.

0:33:56.480 --> 0:33:59.840
<v Speaker 1>So Clinton is actually the kind of key um figure

0:34:00.440 --> 0:34:03.440
<v Speaker 1>in the race in in some ways, I hate to

0:34:03.480 --> 0:34:07.160
<v Speaker 1>say it, but in some ways, the kind of very

0:34:07.240 --> 0:34:11.759
<v Speaker 1>ill put comment Clinton made about deplorables was kind of

0:34:11.800 --> 0:34:14.920
<v Speaker 1>getting in the direction of how you might go about

0:34:15.239 --> 0:34:18.239
<v Speaker 1>dividing his support up if you have you know, maybe

0:34:19.640 --> 0:34:23.000
<v Speaker 1>that is from people who, um, who don't like people

0:34:23.000 --> 0:34:24.919
<v Speaker 1>who don't look like them. But there is a lot

0:34:24.960 --> 0:34:28.200
<v Speaker 1>too that is for other reasons, and for um, for

0:34:28.239 --> 0:34:31.359
<v Speaker 1>anti Clinton, for partisan reasons. There are people who think

0:34:31.360 --> 0:34:33.959
<v Speaker 1>he is a breath of fresh area. And as you said,

0:34:34.120 --> 0:34:36.120
<v Speaker 1>I mean, all these things are very hard to quantify,

0:34:36.200 --> 0:34:38.840
<v Speaker 1>and I imagine, Nate, I'm sure there's a lot of overlap.

0:34:38.880 --> 0:34:42.200
<v Speaker 1>There's some you know, probably then diagrams all over the

0:34:42.200 --> 0:34:46.960
<v Speaker 1>place that have people who fall into maybe both categories, right, absolutely,

0:34:47.000 --> 0:34:48.719
<v Speaker 1>I mean, and you and you know, I mean, I

0:34:48.760 --> 0:34:51.160
<v Speaker 1>think we're learning. One of the big mistakes I think

0:34:51.160 --> 0:34:55.239
<v Speaker 1>people made this year was underestimating the kind of complexity

0:34:55.800 --> 0:34:59.640
<v Speaker 1>other Republican electorate, where people said, well, um, you have

0:34:59.719 --> 0:35:03.560
<v Speaker 1>the aablishment lane and the evangelical lane and the libertarian

0:35:03.680 --> 0:35:07.200
<v Speaker 1>lane and whatever else, right, And in fact, those voters

0:35:07.200 --> 0:35:09.920
<v Speaker 1>are all kind of all over the place, right, uh,

0:35:09.960 --> 0:35:12.120
<v Speaker 1>and they all have a degree of being fed up

0:35:12.160 --> 0:35:15.640
<v Speaker 1>with Washington and frustrated. So you know, I mean, you know,

0:35:15.840 --> 0:35:18.480
<v Speaker 1>certainly the mood that Trump invokes. And we are getting

0:35:18.440 --> 0:35:21.520
<v Speaker 1>a little subjective here, but you know, the convention speech

0:35:21.600 --> 0:35:27.560
<v Speaker 1>that he delivered, um was a dark, even angry speech.

0:35:28.719 --> 0:35:30.600
<v Speaker 1>I'd like to go to go out on a limb

0:35:30.600 --> 0:35:34.600
<v Speaker 1>if you could nate. Um, if the election were held

0:35:34.680 --> 0:35:37.640
<v Speaker 1>tomorrow instead of a week from tomorrow, what do you

0:35:37.640 --> 0:35:39.799
<v Speaker 1>think is going to happen? I mean, this is why

0:35:39.800 --> 0:35:42.920
<v Speaker 1>we put things in probabilities, right, because on the one hand,

0:35:43.480 --> 0:35:46.040
<v Speaker 1>it's not so close, I don't think, and again we're

0:35:46.040 --> 0:35:47.719
<v Speaker 1>taking a couple days in advance. It's not so close

0:35:47.760 --> 0:35:50.120
<v Speaker 1>that you can say we're not sure what the polls say.

0:35:50.400 --> 0:35:53.480
<v Speaker 1>The polls say Clinton. Now it's my job trying to

0:35:53.520 --> 0:35:56.000
<v Speaker 1>figure out how luckily the polls are to be accurate

0:35:56.440 --> 0:35:59.320
<v Speaker 1>or not. And we think because the number of undecided

0:35:59.400 --> 0:36:02.319
<v Speaker 1>voters and number of wing states in play, the disagreement

0:36:02.360 --> 0:36:05.160
<v Speaker 1>in the polls, the risk of an error is higher

0:36:05.160 --> 0:36:08.200
<v Speaker 1>than usual in either direction. Frankly, you know, but look

0:36:08.200 --> 0:36:12.080
<v Speaker 1>Clinton's and even money, you'd be very happy to take Clinton.

0:36:12.719 --> 0:36:15.080
<v Speaker 1>We can start to debate what odds you would need

0:36:15.840 --> 0:36:18.879
<v Speaker 1>to take Trump. And you're saying, this is somebody who

0:36:18.920 --> 0:36:22.120
<v Speaker 1>made his money as an online poker player for a

0:36:22.160 --> 0:36:24.680
<v Speaker 1>couple of years. Yes, so you're always trying to figure

0:36:24.680 --> 0:36:26.920
<v Speaker 1>out wins an advantageous situation. I mean, the difference be

0:36:26.920 --> 0:36:29.320
<v Speaker 1>caen this In two thousand twelves and two twelve, we

0:36:29.400 --> 0:36:32.439
<v Speaker 1>spent a lot of time with the same model um

0:36:32.600 --> 0:36:34.560
<v Speaker 1>saying that people are calling us race a toss up,

0:36:34.600 --> 0:36:37.319
<v Speaker 1>and no, it's not true. Obama has been favored all

0:36:37.400 --> 0:36:40.520
<v Speaker 1>year long in polls of key swing states. Right this

0:36:40.560 --> 0:36:44.440
<v Speaker 1>time around, people are like, are in in disbelief that

0:36:44.480 --> 0:36:48.960
<v Speaker 1>Trump has a shot. But you know, there are maybe

0:36:49.080 --> 0:36:51.440
<v Speaker 1>enough people in the country for Trump to win narrowly.

0:36:51.480 --> 0:36:54.000
<v Speaker 1>And that's what we're talking about, right, We're talking about

0:36:54.080 --> 0:36:57.400
<v Speaker 1>a narrow Clinton win, a big Clinton win, or just

0:36:57.520 --> 0:37:03.040
<v Speaker 1>maybe a narrow, narrow Trump win UM involving probably him

0:37:03.040 --> 0:37:09.560
<v Speaker 1>overperforming in the Midwest, maybe even losing the popular vote nationwide. UM.

0:37:09.680 --> 0:37:11.879
<v Speaker 1>But you know, Clinton is doing really well in California

0:37:11.960 --> 0:37:15.360
<v Speaker 1>and Texas, for example, relative to Obama, not two states

0:37:15.360 --> 0:37:17.759
<v Speaker 1>that are helpful with the electoral vote very much. If

0:37:17.800 --> 0:37:19.560
<v Speaker 1>you gain a bunch of votes in California went by

0:37:19.640 --> 0:37:22.600
<v Speaker 1>thirty instead of twenty, well that boosts your popular vote

0:37:22.600 --> 0:37:25.640
<v Speaker 1>marchin by about a point nationally, but doesn't help you

0:37:25.680 --> 0:37:28.200
<v Speaker 1>in the electoral college at all. And any other states

0:37:28.200 --> 0:37:31.239
<v Speaker 1>that we should be paying particularly close attention to that

0:37:31.320 --> 0:37:34.879
<v Speaker 1>you think will be meaningful on election night, I mean,

0:37:34.880 --> 0:37:37.200
<v Speaker 1>there are some fun ones. So Utah is a state

0:37:37.200 --> 0:37:40.759
<v Speaker 1>where you have a third party candidate, Evan McMullan, who's

0:37:40.760 --> 0:37:43.040
<v Speaker 1>popular with the Mormon community there, which is about two

0:37:43.080 --> 0:37:45.360
<v Speaker 1>thirds of the electorate UM, and so he's giving Trump

0:37:45.840 --> 0:37:50.280
<v Speaker 1>a race. UM. You know, Arizona is a state where

0:37:50.920 --> 0:37:54.080
<v Speaker 1>if Clinton is having a pretty good night, UM, that

0:37:54.080 --> 0:37:55.920
<v Speaker 1>could be a benchmark for that becomes a really good

0:37:56.040 --> 0:37:57.799
<v Speaker 1>night for her and becomes something people will think of

0:37:57.800 --> 0:38:01.959
<v Speaker 1>as a landslide mandate hype outcome that, along with North

0:38:01.960 --> 0:38:04.280
<v Speaker 1>Carolina are the two states Obama lost in two thousand

0:38:04.320 --> 0:38:08.040
<v Speaker 1>twelve which she is most likely to flip. Um. Conversely,

0:38:08.120 --> 0:38:10.480
<v Speaker 1>I mean you can have states go in either directions.

0:38:10.480 --> 0:38:15.040
<v Speaker 1>So Trump is probably a favorite in Iowa, for example. Um.

0:38:15.120 --> 0:38:18.960
<v Speaker 1>And so you could have Iowa go red, Arizona go blue,

0:38:19.560 --> 0:38:22.920
<v Speaker 1>Texas not go blue, but come closer, right, and Utah

0:38:23.040 --> 0:38:25.520
<v Speaker 1>probably not go blue, but maybe go whatever color. And

0:38:25.680 --> 0:38:28.440
<v Speaker 1>McMillan is purple in our chart. Um. And so that

0:38:28.480 --> 0:38:31.200
<v Speaker 1>would be an indication of of how the electorate has

0:38:31.239 --> 0:38:34.840
<v Speaker 1>begun to change. We had a very similar map two thousand,

0:38:34.840 --> 0:38:38.520
<v Speaker 1>two thousand, eight twelve. This year you begin to see

0:38:39.000 --> 0:38:41.600
<v Speaker 1>some new threads come into play. It won't all resolve

0:38:41.600 --> 0:38:45.000
<v Speaker 1>itself this year. Um. But maybe we are talking about

0:38:45.040 --> 0:38:47.799
<v Speaker 1>the four Corners states in the future, where Arizona and

0:38:47.920 --> 0:38:52.279
<v Speaker 1>Utah are more competitive. Um. And maybe we're talking about

0:38:52.280 --> 0:38:55.359
<v Speaker 1>how Iowa is, like Missouri, a formerly swing state that's

0:38:55.360 --> 0:38:57.600
<v Speaker 1>now our red state, for example. And aren't we really

0:38:57.600 --> 0:39:01.800
<v Speaker 1>talking about the decline of democratics part among the white

0:39:01.800 --> 0:39:04.840
<v Speaker 1>working class. It already happened in West Virginia, it's happening

0:39:04.880 --> 0:39:08.080
<v Speaker 1>now in Iowa and Ohio. But the rise of Democratic

0:39:08.160 --> 0:39:12.239
<v Speaker 1>support among the professional, college educated class in places like

0:39:12.360 --> 0:39:15.480
<v Speaker 1>Arizona and North Carolina, and you see migration patterns. I mean,

0:39:15.600 --> 0:39:18.520
<v Speaker 1>I think Clinton is not going to get UM to

0:39:18.600 --> 0:39:23.200
<v Speaker 1>a winning margin in Georgia this year. It could be close, um,

0:39:23.239 --> 0:39:26.000
<v Speaker 1>But with four more years of tech sector growth in

0:39:26.000 --> 0:39:28.960
<v Speaker 1>the Atlanta area and growth of the African American population

0:39:29.000 --> 0:39:31.719
<v Speaker 1>there and college students, then Georgia could go the way

0:39:31.840 --> 0:39:35.520
<v Speaker 1>of of North Carolina, for example, and the immigration to

0:39:35.640 --> 0:39:40.240
<v Speaker 1>cities right and um. But again this doesn't play purely

0:39:40.320 --> 0:39:44.120
<v Speaker 1>into Democrats hands that it does tend to even out

0:39:44.360 --> 0:39:48.799
<v Speaker 1>and yeah, you're gonna see um maybe the access of

0:39:48.800 --> 0:39:51.799
<v Speaker 1>competition shift from the Midwest, where the Midwest will go

0:39:51.840 --> 0:39:56.360
<v Speaker 1>increasingly read um, to the south, both the Southwest and

0:39:56.400 --> 0:39:59.839
<v Speaker 1>the Southeast. Well. I think the fascinating thing to cover

0:40:00.120 --> 0:40:03.400
<v Speaker 1>and for you obviously need to pay attention to, is

0:40:03.520 --> 0:40:06.880
<v Speaker 1>the future of the Republican Party. I can't help but

0:40:07.040 --> 0:40:10.120
<v Speaker 1>think that it's going to turn into kind of a

0:40:10.160 --> 0:40:15.040
<v Speaker 1>two class, two party system, with more educated elites trending

0:40:15.120 --> 0:40:19.439
<v Speaker 1>towards the Democratic Party and less educated people becoming Republicans.

0:40:19.520 --> 0:40:23.960
<v Speaker 1>Is that a fair assessment, you guys? I mean clearly

0:40:24.040 --> 0:40:28.560
<v Speaker 1>these things have the opportunity to be self reinforcing. Um,

0:40:29.120 --> 0:40:31.080
<v Speaker 1>where the people who were fed up with Reblican Party

0:40:31.120 --> 0:40:33.480
<v Speaker 1>this year might not come back anytime soon. Especially it

0:40:33.520 --> 0:40:36.960
<v Speaker 1>seems like more of a Trumpian party, and if there's

0:40:36.960 --> 0:40:40.719
<v Speaker 1>a Trumpian plurality or majority than even without Trump, then

0:40:40.719 --> 0:40:44.359
<v Speaker 1>it can still control many candidates destiny. I mean, one

0:40:44.360 --> 0:40:47.120
<v Speaker 1>thing we definitely learned is that the reason that much

0:40:47.120 --> 0:40:52.200
<v Speaker 1>of a market for Marco Rubio type of conservatism where

0:40:52.200 --> 0:40:55.560
<v Speaker 1>it's kind of um well presented but ultimately pretty conservative

0:40:55.560 --> 0:40:58.600
<v Speaker 1>and kind of Reagan like Reagan reinvented, right, because the

0:40:58.640 --> 0:41:02.040
<v Speaker 1>market for that you to be among voters in the suburbs,

0:41:02.360 --> 0:41:05.919
<v Speaker 1>upper middle class usually, and that group has gone more

0:41:05.960 --> 0:41:09.400
<v Speaker 1>and more democratic. So that's been draining away the potential

0:41:09.480 --> 0:41:12.440
<v Speaker 1>number of votes that Republicans might might win. So what

0:41:12.560 --> 0:41:17.400
<v Speaker 1>brand of Republicanism works, well, we don't know. I mean, Trump,

0:41:17.400 --> 0:41:19.600
<v Speaker 1>who I think wasn't really a Republican that kind of

0:41:19.640 --> 0:41:23.000
<v Speaker 1>reinvented the party in his image, beat out sixteen other

0:41:23.160 --> 0:41:27.840
<v Speaker 1>versions of Republicanism. The one complicating thing. Um, So we

0:41:27.880 --> 0:41:30.839
<v Speaker 1>don't don't get too fixated on this neat narrative about

0:41:30.880 --> 0:41:34.320
<v Speaker 1>Trump projecting the party is that you did have UM,

0:41:34.640 --> 0:41:39.400
<v Speaker 1>very very few upsets in Republican Senate and gubinatorial primaries.

0:41:39.440 --> 0:41:43.239
<v Speaker 1>The establishment one plenty of those, and the GOP has

0:41:43.280 --> 0:41:46.520
<v Speaker 1>a fairly strong set of candidates, which may mitigate their

0:41:46.560 --> 0:41:51.439
<v Speaker 1>losses UM in the Senate for example. UM, So maybe

0:41:51.440 --> 0:41:53.920
<v Speaker 1>there's some hope that Trump was truly one of a

0:41:54.040 --> 0:41:58.560
<v Speaker 1>kind and that he'll go away quietly. UM, because in

0:41:58.640 --> 0:42:03.720
<v Speaker 1>some ways it's if in some ways if Trump wins UM,

0:42:03.920 --> 0:42:05.879
<v Speaker 1>unless he has a great first term, and some ways

0:42:05.880 --> 0:42:10.759
<v Speaker 1>of Trump wins, it's more problematic for the GOP. And

0:42:10.800 --> 0:42:12.440
<v Speaker 1>I know we have to go soon ate, but but

0:42:12.560 --> 0:42:17.040
<v Speaker 1>briefly before we do, what's your assessment on House and

0:42:17.120 --> 0:42:20.960
<v Speaker 1>Senate control at this point? So the Senate is incredible,

0:42:20.960 --> 0:42:24.680
<v Speaker 1>and that we have UM six races that are really

0:42:24.680 --> 0:42:28.000
<v Speaker 1>as close to toss ups as you can get. UM.

0:42:28.040 --> 0:42:31.680
<v Speaker 1>It looks like Democrats might have a slight edge in Pennsylvania,

0:42:31.840 --> 0:42:38.320
<v Speaker 1>but New Hampshire, Nevada, Missouri, Indiana, North Carolina, UM are

0:42:38.440 --> 0:42:40.799
<v Speaker 1>very close. And we don't say things are too close

0:42:40.840 --> 0:42:43.439
<v Speaker 1>to call just to stay out of trouble. I mean,

0:42:43.960 --> 0:42:46.200
<v Speaker 1>you know, you can really find lots of polls lining

0:42:46.280 --> 0:42:49.440
<v Speaker 1>up on either side of those races. But the history

0:42:49.440 --> 0:42:52.480
<v Speaker 1>of this is that the key Senate races tend to

0:42:52.480 --> 0:42:55.200
<v Speaker 1>break one way or the other depending on the presidential

0:42:55.200 --> 0:42:57.880
<v Speaker 1>as well, and it looked like they were breaking toward Democrats.

0:42:57.880 --> 0:42:59.840
<v Speaker 1>And now one week later, I mean, we have the

0:43:00.040 --> 0:43:03.319
<v Speaker 1>creds as a Monday as about a six chance to

0:43:03.320 --> 0:43:05.839
<v Speaker 1>take the centup. But that was declining a little bit

0:43:06.120 --> 0:43:08.479
<v Speaker 1>um as we began to see some Republicans come home,

0:43:08.520 --> 0:43:12.040
<v Speaker 1>I think. And finally, what about Gary Johnson and Jill Stein?

0:43:12.120 --> 0:43:15.359
<v Speaker 1>Are they just non factors? I mean they do even

0:43:15.360 --> 0:43:19.560
<v Speaker 1>though their percentages have declined, Gary Johnson's in particular since

0:43:19.960 --> 0:43:23.800
<v Speaker 1>the all time high at one p m, that's still

0:43:24.760 --> 0:43:27.160
<v Speaker 1>I mean, do you think it's siphoning votes away from

0:43:27.239 --> 0:43:29.839
<v Speaker 1>Hillary Clinton or from Donald Trump? And is it enough

0:43:29.880 --> 0:43:32.160
<v Speaker 1>to make a difference in the outcome? I mean, what

0:43:32.239 --> 0:43:34.560
<v Speaker 1>you've seen is that when the candidates have surged and

0:43:34.600 --> 0:43:37.480
<v Speaker 1>have good moments, right Clinton after the debates or her convention,

0:43:38.000 --> 0:43:42.320
<v Speaker 1>Um Trump more recently, Um, they begun to pull voters

0:43:42.400 --> 0:43:45.640
<v Speaker 1>away from the third party candidate, and once those voters

0:43:45.800 --> 0:43:48.359
<v Speaker 1>go to a major party candidate, they don't go back

0:43:48.400 --> 0:43:51.080
<v Speaker 1>because they don't want to wind up wasting their vote UM,

0:43:51.120 --> 0:43:53.440
<v Speaker 1>and so that vote for Johnson's decline from about ten

0:43:53.480 --> 0:43:56.960
<v Speaker 1>percent to five percent, stying from about four percent to

0:43:57.000 --> 0:43:59.799
<v Speaker 1>one or two percent UM. There's not much that much

0:43:59.800 --> 0:44:02.279
<v Speaker 1>low they would go. But but sure, I mean, if

0:44:02.320 --> 0:44:05.480
<v Speaker 1>you have Johnson with five percent of the vote UM

0:44:05.680 --> 0:44:10.040
<v Speaker 1>and the margin in Pennsylvania's five points, then those are

0:44:10.120 --> 0:44:13.040
<v Speaker 1>voters who potentially could make a difference at the end.

0:44:14.000 --> 0:44:17.000
<v Speaker 1>Is there any statistical analysis that would tell us if

0:44:17.040 --> 0:44:21.239
<v Speaker 1>you're most likely scenario happens that Clinton wynn but a

0:44:21.280 --> 0:44:24.960
<v Speaker 1>Republican House, maybe a Democratic Senate, maybe a Republican Senate,

0:44:25.239 --> 0:44:29.120
<v Speaker 1>whether we'll just get more gridlock or that something different

0:44:29.120 --> 0:44:32.759
<v Speaker 1>will actually occur. I mean, gridlock seems like a very

0:44:32.800 --> 0:44:36.560
<v Speaker 1>safe bet um in part because I don't think you're

0:44:36.560 --> 0:44:41.960
<v Speaker 1>going to have um a Democratic house. UM. I think

0:44:41.960 --> 0:44:44.239
<v Speaker 1>Clinton would have had need to have had a win

0:44:44.320 --> 0:44:45.880
<v Speaker 1>at her back in the last week of the campaign

0:44:45.880 --> 0:44:48.640
<v Speaker 1>instead of burning into the wind a little bit. If

0:44:48.680 --> 0:44:52.000
<v Speaker 1>you have Trump, you're gonna have UM, not the traditional

0:44:53.160 --> 0:44:57.320
<v Speaker 1>uh necessarily well trained bureaucrats and cabinet and everything else.

0:44:57.360 --> 0:44:59.920
<v Speaker 1>I mean, so you know, this is why I say

0:45:00.040 --> 0:45:03.319
<v Speaker 1>eight um. And again, you would much rather win the

0:45:03.320 --> 0:45:06.279
<v Speaker 1>presidency than lose it. But whoever wins the presidency is

0:45:06.280 --> 0:45:09.400
<v Speaker 1>going to probably face a difficult first two years and

0:45:09.480 --> 0:45:15.000
<v Speaker 1>difficult mid term in Nate Silver, Nate, thank you, Thank you, Katie,

0:45:15.000 --> 0:45:20.680
<v Speaker 1>Thank you, Brian too, thank you. So we want to

0:45:20.719 --> 0:45:23.759
<v Speaker 1>thank as always johnnah Palmer for producing the show and

0:45:23.840 --> 0:45:27.439
<v Speaker 1>Jared O'Connell for engineering and mixing it. Thanks to Mark

0:45:27.600 --> 0:45:31.160
<v Speaker 1>Phillips for our fantastic theme music. We'll be back next

0:45:31.200 --> 0:45:34.840
<v Speaker 1>week with a very special election episode, really a post

0:45:34.880 --> 0:45:38.040
<v Speaker 1>election episode, and we want to hear from you once

0:45:38.040 --> 0:45:40.359
<v Speaker 1>it's over. What will you be doing to Phillip all

0:45:40.360 --> 0:45:44.440
<v Speaker 1>the time you've spent obsessively following this election. Leave us

0:45:44.440 --> 0:45:47.560
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0:45:47.600 --> 0:45:52.360
<v Speaker 1>about that to nine to two four four, six, three seven,

0:45:52.400 --> 0:45:54.319
<v Speaker 1>and we really look forward to hearing what you have

0:45:54.440 --> 0:45:57.920
<v Speaker 1>to say. And remember, beside our voicemail line, you can

0:45:57.960 --> 0:46:02.080
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0:46:02.160 --> 0:46:05.839
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0:46:05.920 --> 0:46:08.680
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0:46:18.440 --> 0:46:20.439
<v Speaker 1>much for listening, and we'll talk to you next time.

0:46:27.880 --> 0:46:33.400
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