WEBVTT - The Election Pollster’s Song 

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<v Speaker 1>Pushkin from Pushkin Industries. This is Deep Background, the show

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<v Speaker 1>where we explore the stories behind the stories in the news.

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<v Speaker 1>I'm Noah Feldman. On Saturday, we'll be continuing our special

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<v Speaker 1>series Deep Bench, about the Right Word turn of the

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<v Speaker 1>Supreme Court. But today, in the midst of an election season,

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<v Speaker 1>we thought we should still deliver a regular Deep Background

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<v Speaker 1>episode to you. We're about two weeks out from the

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<v Speaker 1>presidential election now, and in most polls it looks like

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<v Speaker 1>Biden has a serious lead. I don't know about you,

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<v Speaker 1>but I don't pay much attention to the polls until

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<v Speaker 1>I do, and I've entered that phase of the election

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<v Speaker 1>where I can't quite help myself, like a guilty pleasure

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<v Speaker 1>or maybe a non pleasure. I keep stealing back to

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<v Speaker 1>the websites to see what the polls say. Can we

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<v Speaker 1>trust the polls that are out there? What have posters

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<v Speaker 1>learned from recent experiences, including the twenty sixteen election, and

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<v Speaker 1>what methods do they use to get the results that

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<v Speaker 1>we see when we look online. Here to discuss these

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<v Speaker 1>questions with us is Anthony Salvanto. He is the Elections

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<v Speaker 1>and Surveys Director at CBS News, which puts him in

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<v Speaker 1>charge of one of the most significant operations doing polling

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<v Speaker 1>and calling elections in the country. He's also the author

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<v Speaker 1>of the book Where did You get This Number? A

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<v Speaker 1>polsters Guide to making sense of the world. Anthony, thank

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<v Speaker 1>you for being here. I sometimes feel like the rest

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<v Speaker 1>of us are being cruel to posters because three and

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<v Speaker 1>three quarters years we're interested in what you're saying, we're

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<v Speaker 1>intrigued with what you're saying, and then for a tiny

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<v Speaker 1>run up to a election, we suddenly blitz you, demand

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<v Speaker 1>that you perfectly predict the future and predictively complain if

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<v Speaker 1>you get it even a little bit wrong. So a

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<v Speaker 1>collective apology in advance of my doing exactly those things

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<v Speaker 1>in our conversation. You know what, It's all good. The

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<v Speaker 1>history of polling is one such that elections were used

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<v Speaker 1>as a benchmark. It was never really intended to be

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<v Speaker 1>a tool to just quote unquote predict elections. They were

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<v Speaker 1>used as a benchmark by posters in the earlier part

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<v Speaker 1>of the twentieth century to basically show people, yes, this works,

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<v Speaker 1>Yes we can do a scientific example of the population

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<v Speaker 1>and then get something external to validate that. People tend

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<v Speaker 1>to conflate the ideas of predicting with understanding. It kind

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<v Speaker 1>of went from there, and that just somewhat comes with

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<v Speaker 1>a territory. But it's not at all cruel if it

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<v Speaker 1>brings attention to what we do, because I think the

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<v Speaker 1>large or point of what we do is to try

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<v Speaker 1>to understand the public mind and to try to understand

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<v Speaker 1>people through the lens of looking at aggregate data to

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<v Speaker 1>what they do as mass behavior. And if that brings

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<v Speaker 1>us attention, and then if people say, hey, you know what,

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<v Speaker 1>these polls are kind of interesting, maybe I will pay

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<v Speaker 1>attention to them in twenty twenty one or twenty twenty

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<v Speaker 1>two and see what people think of public policy and

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<v Speaker 1>other important issues, then it's all good. Anthony, you said

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<v Speaker 1>something kind of profound right out of the box, which

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<v Speaker 1>is impressive at eight in the morning. You were just

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<v Speaker 1>saying that we tend to conflate our ability to predict

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<v Speaker 1>something convincingly with our ability to understand that same thing.

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<v Speaker 1>And when you put it that way, you're making the

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<v Speaker 1>point that actually prediction isn't the same thing as understanding.

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<v Speaker 1>You know, understanding. We actually want to know why people

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<v Speaker 1>do things, whereas prediction in theory could be blind to

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<v Speaker 1>the question of why as long as we know what

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<v Speaker 1>people are going to do. And I guess I want

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<v Speaker 1>to ask you more about this idea that you're seeking

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<v Speaker 1>to under stand people. Is it do you see when

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<v Speaker 1>you wake up every morning your goal to be I

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<v Speaker 1>want to make the best predictions that I can, or

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<v Speaker 1>do you see it as I want to understand why

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<v Speaker 1>people are going to do the things that you're going

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<v Speaker 1>to do, including voting the way they're going to vote.

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<v Speaker 1>It's the latter, It's entirely the latter. And I've told

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<v Speaker 1>people you should judge me on whether I help you

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<v Speaker 1>understand what is going on in the world around you.

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<v Speaker 1>Here's an example. You always see around this time of year,

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<v Speaker 1>people saying, well, I can't talk to friends and family

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<v Speaker 1>because they're for the other side. You know, one person's

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<v Speaker 1>a Democrat, one person is a Republican. Let's provide for Trump.

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<v Speaker 1>We don't get wrong anymore. We don't know what they're thinking. Well,

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<v Speaker 1>suppose you had a tool that could help you understand

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<v Speaker 1>a little bit about what the other side is thinking,

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<v Speaker 1>then maybe that could facilitate a conversation. Maybe basic level.

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<v Speaker 1>You just have a better time at dinner. You have

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<v Speaker 1>that ability if you read and understand a good pull.

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<v Speaker 1>We posters often try to avoid the name posters, and

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<v Speaker 1>we prefer to be called survey researchers because we talk

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<v Speaker 1>to people and that idea can be carried through to

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<v Speaker 1>the user as well. So I like to think all

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<v Speaker 1>the way back to the start of your question, if

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<v Speaker 1>we can deliver that understanding, then that's really the goal,

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<v Speaker 1>that's really the job. Let me ask you a few

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<v Speaker 1>questions about key concepts that you and all other survey

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<v Speaker 1>researchers use but that at least for me, aren't as

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<v Speaker 1>clear as I would like them to be, and I

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<v Speaker 1>might be not alone in this. Let's start with likely voter,

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<v Speaker 1>which is obviously hugely important concept. It's great to get

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<v Speaker 1>a sense of how the average person would vote, but

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<v Speaker 1>the average person isn't the person necessarily who was going

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<v Speaker 1>to vote, because we have turnout levels in the United

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<v Speaker 1>States that are much lower than they are in some

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<v Speaker 1>other countries, and so a lot rests on your prediction

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<v Speaker 1>of whether someone is likely to vote, and then you

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<v Speaker 1>have to weigh that person's opinion in your overall analysis

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<v Speaker 1>of your research data, balanced by the probability that you

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<v Speaker 1>assigned the likely of their voting. So how do you

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<v Speaker 1>know what are the measures that you consider most reliable

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<v Speaker 1>when you're asking if someone is a likely voter. So

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<v Speaker 1>the likely voter model, which we used in a survey,

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<v Speaker 1>basically says, how can we combine things you the respondent,

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<v Speaker 1>tell us you're going to do, and whether or not

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<v Speaker 1>we believe, for lack of a better word, that you're

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<v Speaker 1>going to do what you say you're going to do.

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<v Speaker 1>This is the behavioral component of a poll. We know

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<v Speaker 1>the attitudinal component. I think the economy is good. I

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<v Speaker 1>like the president and only the president. This is the

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<v Speaker 1>behavioral stuff, which frankly is a lot harder. Well. On

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<v Speaker 1>one hand, we can take everyone who in a previous

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<v Speaker 1>poll told us they were going to vote, and we

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<v Speaker 1>can go call them back after the election and see

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<v Speaker 1>how many of them tell us that they actually did. Now,

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<v Speaker 1>there may be some overreporting in that, but for the

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<v Speaker 1>most part, this is a pretty good measure, meaning that

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<v Speaker 1>people don't necessarily tell you the truth. If they did vote,

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<v Speaker 1>they're happy to tell you, But if they didn't vote,

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<v Speaker 1>they might be ashamed to say, yeah, I didn't actually

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<v Speaker 1>turn out. That's right, And we know that there is

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<v Speaker 1>some overreporting of that. It is not large by the way,

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<v Speaker 1>Just as a quick aside, I don't mix that with

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<v Speaker 1>people lying. This is usually what happens. They say they're

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<v Speaker 1>going to vote, they intend to vote, and then things

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<v Speaker 1>get in the way. Absolutely, we do that, and we

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<v Speaker 1>also know from lots of other economic data that we

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<v Speaker 1>do all kinds of predictions about ourselves which overstate our

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<v Speaker 1>ability to stick to our word exactly. So we've got

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<v Speaker 1>some rough measure, and we can go back and look

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<v Speaker 1>at that from past polls, and let's say it is

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<v Speaker 1>the case about ninety percent of people tell us they

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<v Speaker 1>vote actually vote. Well, then we've got other measures, like

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<v Speaker 1>from the social science literature, from political science literature. If

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<v Speaker 1>people feel like they're part of a community, they are

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<v Speaker 1>increasingly likely to vote. So someone who is a homeowner

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<v Speaker 1>who's lived in a place for a long time is

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<v Speaker 1>more likely to vote. Now, how do you put that

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<v Speaker 1>into a pull In our case, you build an aggression

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<v Speaker 1>model that would have worked in the past, or you

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<v Speaker 1>can back test your data on and you assign everybody

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<v Speaker 1>in the poll a likelihood of voting based on their

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<v Speaker 1>characteristics such as they're known in the aggregate. If we

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<v Speaker 1>know that ninety five percent of people who have voted

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<v Speaker 1>in every single election, vote in the next one. So

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<v Speaker 1>and then so we have a respondent who's voted in

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<v Speaker 1>every single election, give them a point nine five probability

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<v Speaker 1>score of voting in this one. And then the final

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<v Speaker 1>technical side of that poll is that you take everybody

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<v Speaker 1>with a weight assigned to them, a likely voter score,

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<v Speaker 1>and you sum those up to get the overall likely

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<v Speaker 1>voter estimate. As one way of doing a likely voter model.

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<v Speaker 1>There are others, but it is taking what you see

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<v Speaker 1>in the aggregate and behavior in the aggregate and trying

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<v Speaker 1>to apply it to an individual, which for anybody, whether

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<v Speaker 1>you're trying to gauge voting or whether somebody will buy

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<v Speaker 1>your product, can be a tricky business. There are factors

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<v Speaker 1>that are particular to any given election which are much

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<v Speaker 1>harder to incorporate. So in a given election, somebody might

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<v Speaker 1>be really motivated to vote against or for an incumbent,

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<v Speaker 1>or there might be closed polling places and it might

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<v Speaker 1>be harder to vote, or it might be that you've

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<v Speaker 1>recently moved and don't know where you're going to vote.

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<v Speaker 1>All of those things are variables that are much harder

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<v Speaker 1>to gauge. I want to ask you and drill down

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<v Speaker 1>on those elections specific features because they seem to, at

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<v Speaker 1>least in my generalist perception. So I've had a big

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<v Speaker 1>impact on the twenty sixteen election, and one imagines they

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<v Speaker 1>might on the twenty twenty election. So are you and

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<v Speaker 1>our other posters trying now to make strong predictive answers

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<v Speaker 1>to the following question, our Biden voters going to be

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<v Speaker 1>more likely to really want to turn out to vote

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<v Speaker 1>against Trump, or our Trump voters are going to really

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<v Speaker 1>be likely to turn out in high percentages to defend

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<v Speaker 1>the president as opposed to what people do and let's

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<v Speaker 1>say the immedian election, or as opposed to what they

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<v Speaker 1>did in twenty sixteen. I mean, that seems to be

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<v Speaker 1>certainly from the standpoint of the way the campaigns talk

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<v Speaker 1>maybe the whole ball of wax here right that if

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<v Speaker 1>you know, if one side can really motivate its base,

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<v Speaker 1>it's going to have a huge advantage in winning. So

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<v Speaker 1>I guess what I'm wondering is, are you and our

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<v Speaker 1>other polls actually trying to call that feature in? So

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<v Speaker 1>tell us how you bake it in. Yeah, what we're

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<v Speaker 1>doing is, first we ask attitudinal questions, are you motivated

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<v Speaker 1>to vote? Are you motivated more than you were? I

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<v Speaker 1>have questions like how long would you stand in line?

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<v Speaker 1>And the majority of people tell us they'll stand in

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<v Speaker 1>line quote as long as it takes. Is that the case?

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<v Speaker 1>Probably the case for most of them, but things get

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<v Speaker 1>in the way. But I also see people who say

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<v Speaker 1>they'll only stand in line for half an hour. That's

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<v Speaker 1>useful information we have and turnout model in every poll

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<v Speaker 1>number that you see from US. Joe Biden's fortunes right now, frankly,

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<v Speaker 1>including in all the polls that I put out, is

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<v Speaker 1>that he is heavily dependent on people who tell us

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<v Speaker 1>that they're going to vote for the first time, so

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<v Speaker 1>they're included in the poll. But does past behavior predict

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<v Speaker 1>future behavior? That's harder to know. And if they don't

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<v Speaker 1>show up, this election will be much tighter. How much

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<v Speaker 1>of a discount factor are you applying? I mean, just

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<v Speaker 1>to make it as practical as possible. If the first

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<v Speaker 1>time TI voter on average did not turn up, how

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<v Speaker 1>bad is that for Biden? Whereas if the first time

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<v Speaker 1>voter who says, yes, I'm voting, but I've never done

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<v Speaker 1>it before does turn out and vote, how good is

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<v Speaker 1>that for Biden. Oh, it varies state by state, but

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<v Speaker 1>if the first time voter turns out, then what you

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<v Speaker 1>see in the polling will will manifest itself, meaning Biden's

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<v Speaker 1>big lead will be carried out. He'll win by a lot. Yeah,

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<v Speaker 1>I mean I shy away from saying anybody will win,

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<v Speaker 1>but it would greatly advantage him. However, if those folks

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<v Speaker 1>don't show up, that's a much much tighter race. And look,

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<v Speaker 1>I will add this because it really applies here. The

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<v Speaker 1>uncertainty in this election, in my mind, is something that

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<v Speaker 1>I have a great deal of difficulty quantifying, and that

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<v Speaker 1>is the mechanism of voting. It is the balloting process.

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<v Speaker 1>We talk a lot about turnout as though it is

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<v Speaker 1>all based on motivation, because in much money part parts

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<v Speaker 1>it is, there's a motivation, etc. But in this case,

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<v Speaker 1>you have people transitioning from old habits to new ones.

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<v Speaker 1>They stood in line at their local polling place, their

0:13:19.836 --> 0:13:23.876
<v Speaker 1>local school, which is two blocks away for twenty five years,

0:13:24.156 --> 0:13:28.236
<v Speaker 1>and now that polling place has been closed because counties

0:13:28.276 --> 0:13:31.316
<v Speaker 1>are consolidating due to COVID, and now they have to

0:13:31.396 --> 0:13:35.116
<v Speaker 1>drive across the county to a massive voting center where

0:13:35.156 --> 0:13:37.636
<v Speaker 1>they need to find parking and where they need to

0:13:37.676 --> 0:13:39.676
<v Speaker 1>stand in longer line, and where they need to know

0:13:39.676 --> 0:13:43.316
<v Speaker 1>where it is in the first place. Or they're requesting

0:13:43.316 --> 0:13:46.156
<v Speaker 1>a mail ballot, Well, okay, this big envelope comes in

0:13:46.236 --> 0:13:49.876
<v Speaker 1>the mail, and it's not that difficult. But now you've

0:13:49.876 --> 0:13:52.276
<v Speaker 1>opened up these new forms and you have to sign

0:13:52.276 --> 0:13:53.996
<v Speaker 1>it in the right place, and in some places you

0:13:54.036 --> 0:13:57.156
<v Speaker 1>have to stick it inside another envelope. All of those

0:13:57.236 --> 0:14:02.316
<v Speaker 1>changes and how they affect people are really unknown to us,

0:14:02.396 --> 0:14:05.876
<v Speaker 1>and I think that's a great deal of uncertainty in

0:14:06.036 --> 0:14:11.636
<v Speaker 1>this election. And I suspect if turnout patterns vary a lot,

0:14:11.876 --> 0:14:14.596
<v Speaker 1>or by more than we think that they are, that

0:14:14.596 --> 0:14:17.836
<v Speaker 1>that's going to be one explanation why that person in

0:14:17.836 --> 0:14:20.276
<v Speaker 1>the example I just used, Well, they decided they couldn't

0:14:20.276 --> 0:14:23.676
<v Speaker 1>find parking at Dodgers Stadium, which they turned into a big,

0:14:23.716 --> 0:14:26.996
<v Speaker 1>giant polling place. Maybe no surprise there, Or they didn't

0:14:27.036 --> 0:14:30.876
<v Speaker 1>quite navigate the mail ballot process correctly and their ballot

0:14:30.876 --> 0:14:33.476
<v Speaker 1>didn't get there or was rejected or what have you.

0:14:33.916 --> 0:14:37.956
<v Speaker 1>So all of that is incredibly difficult to quantify. I

0:14:38.036 --> 0:14:41.436
<v Speaker 1>suspect we'll get some help in that in the aggregate

0:14:41.836 --> 0:14:44.316
<v Speaker 1>as we get closer to the election, because we we'll

0:14:44.356 --> 0:14:49.116
<v Speaker 1>see is the return rate on a lot of mail votes,

0:14:49.396 --> 0:14:53.156
<v Speaker 1>and we'll also have the total early vote from all

0:14:53.236 --> 0:14:56.396
<v Speaker 1>these early voting locations, so we'll start to have a

0:14:56.476 --> 0:14:59.476
<v Speaker 1>sense of who's done that, how much of it has

0:14:59.516 --> 0:15:02.556
<v Speaker 1>sort of been cannibalized from what would have been election

0:15:02.676 --> 0:15:05.996
<v Speaker 1>day vote, and then we'll narrow down to what remains

0:15:06.196 --> 0:15:08.196
<v Speaker 1>the people who haven't voted yet when we wake up

0:15:08.236 --> 0:15:11.756
<v Speaker 1>on the morning of November third. That'll be a help,

0:15:12.236 --> 0:15:15.756
<v Speaker 1>but from a polling standpoint, that is all very, very

0:15:15.796 --> 0:15:30.716
<v Speaker 1>hard to quantify. We'll be right back. You mentioned aggregation,

0:15:30.796 --> 0:15:33.716
<v Speaker 1>and that's also something that I'm totally fascinated by, and

0:15:33.716 --> 0:15:36.116
<v Speaker 1>it's something that in recent years has become more and

0:15:36.196 --> 0:15:39.196
<v Speaker 1>more salient to anybody who reads polls in the newspapers

0:15:39.316 --> 0:15:42.636
<v Speaker 1>or watches them on television. I'm specifically thinking of the

0:15:42.676 --> 0:15:46.076
<v Speaker 1>aggregation of lots of polls. There are lots of different polls.

0:15:46.196 --> 0:15:49.196
<v Speaker 1>They have different methodologies. Some are local, some are national.

0:15:49.756 --> 0:15:53.596
<v Speaker 1>But there are sites and experts, and you're one of

0:15:53.636 --> 0:15:56.916
<v Speaker 1>them who say, look, here's what my polling data shows,

0:15:56.916 --> 0:16:01.316
<v Speaker 1>but here's what my aggregation of all everybody's polling data shows.

0:16:01.876 --> 0:16:04.076
<v Speaker 1>And there's some implication there, a kind of wisdom of

0:16:04.116 --> 0:16:08.636
<v Speaker 1>crowds idea that it's better to have as many different polls,

0:16:08.636 --> 0:16:10.716
<v Speaker 1>even if they different methodology, some of which might not

0:16:10.716 --> 0:16:14.596
<v Speaker 1>be your favorite methodology, than just to rely on one poll.

0:16:14.596 --> 0:16:16.276
<v Speaker 1>What's your sense of that. Are you one of those

0:16:16.316 --> 0:16:19.756
<v Speaker 1>people who believes that will have better information by aggregating

0:16:19.796 --> 0:16:22.076
<v Speaker 1>lots of polls even if some of them have a

0:16:22.116 --> 0:16:24.996
<v Speaker 1>methodology that you wouldn't be crazy about, or are you

0:16:24.996 --> 0:16:28.036
<v Speaker 1>somebody who thinks, no, we're better off relying on carefully done,

0:16:28.396 --> 0:16:31.836
<v Speaker 1>well done polls and only those polls. The second, I'm

0:16:31.876 --> 0:16:35.396
<v Speaker 1>not a fan of aggregation. I understand why it's done,

0:16:35.676 --> 0:16:39.596
<v Speaker 1>and in general it's not unreasonable. The comparison I make

0:16:39.756 --> 0:16:42.396
<v Speaker 1>is do you want a beat you can dance to

0:16:42.756 --> 0:16:45.636
<v Speaker 1>or do you want to hear the song? If you

0:16:45.716 --> 0:16:49.476
<v Speaker 1>go to a nightclub and the DJ is combining a

0:16:49.476 --> 0:16:52.916
<v Speaker 1>lot of different songs together to give you a really

0:16:52.956 --> 0:16:56.556
<v Speaker 1>good beat, or blending one after another, that's really fun

0:16:56.796 --> 0:16:59.596
<v Speaker 1>and that's really useful because you just want to dance

0:16:59.596 --> 0:17:03.156
<v Speaker 1>and have a good time. If you really want to

0:17:03.196 --> 0:17:06.836
<v Speaker 1>appreciate music and you want to dive into what an

0:17:06.876 --> 0:17:10.356
<v Speaker 1>artist put out as their song, and you listen to

0:17:10.396 --> 0:17:14.116
<v Speaker 1>a song, and that to me is a little closer

0:17:14.156 --> 0:17:17.556
<v Speaker 1>to what the polster is trying to deliver. Any good

0:17:17.596 --> 0:17:21.636
<v Speaker 1>poll is trying to tell you what people think and

0:17:21.796 --> 0:17:26.116
<v Speaker 1>explain why people think it. And they've offered you a

0:17:26.156 --> 0:17:30.236
<v Speaker 1>model of the electorate. They've implicitly or directly offered you

0:17:30.436 --> 0:17:34.276
<v Speaker 1>a model of behavior because of the questions that they asked,

0:17:34.676 --> 0:17:37.516
<v Speaker 1>because of the things they tried to test or examine

0:17:37.796 --> 0:17:41.676
<v Speaker 1>by asking those questions. Is it about the candidates personalities,

0:17:41.756 --> 0:17:45.876
<v Speaker 1>is it about public policies, etc. So they're offering that

0:17:46.036 --> 0:17:48.156
<v Speaker 1>and you can take it for what it's worth. But

0:17:48.836 --> 0:17:52.196
<v Speaker 1>if it's done well, it should offer you a good

0:17:52.356 --> 0:17:56.756
<v Speaker 1>study of the electorate, and you can compare it. If

0:17:56.756 --> 0:17:59.556
<v Speaker 1>you have the time or the inclination, you can compare

0:17:59.636 --> 0:18:03.356
<v Speaker 1>that study to another one that's a really comprehensive and

0:18:03.436 --> 0:18:06.836
<v Speaker 1>I would dare say a little more sophisticated view of

0:18:06.996 --> 0:18:10.316
<v Speaker 1>how to approach getting information. But again it depends on

0:18:10.436 --> 0:18:13.076
<v Speaker 1>what you want, how deep you want to go. So

0:18:13.476 --> 0:18:17.476
<v Speaker 1>the aggregate is for perhaps a shorthand who's winning? I

0:18:17.516 --> 0:18:19.636
<v Speaker 1>can see it from this, Okay, God, move on with

0:18:19.676 --> 0:18:22.116
<v Speaker 1>my life. Do I want to understand what's going on.

0:18:22.516 --> 0:18:25.116
<v Speaker 1>I don't think you get that with aggregation at all.

0:18:25.396 --> 0:18:28.036
<v Speaker 1>I love the analogy that what you do is you're

0:18:28.076 --> 0:18:30.996
<v Speaker 1>a musician. You know, you're a soloist. You're singing your

0:18:31.036 --> 0:18:34.876
<v Speaker 1>song or you're playing your piece of music, and we

0:18:34.996 --> 0:18:37.276
<v Speaker 1>get a certain kind of depth and appreciation out of that.

0:18:37.356 --> 0:18:39.916
<v Speaker 1>And what the aggregators are doing, you know, on five

0:18:40.116 --> 0:18:41.996
<v Speaker 1>thirty eight or you know what the New York Times

0:18:41.996 --> 0:18:45.196
<v Speaker 1>aggregation is doing is they're DJs. You know, they're they're

0:18:45.236 --> 0:18:48.116
<v Speaker 1>playing it all. They're mixing and matching and there's a

0:18:48.116 --> 0:18:50.156
<v Speaker 1>beat that emerges, and you know that can be as

0:18:50.196 --> 0:18:51.956
<v Speaker 1>you say, that can be great too. It sounds like

0:18:51.956 --> 0:18:54.236
<v Speaker 1>it depends on what you want to listen to in

0:18:54.276 --> 0:18:57.716
<v Speaker 1>a given moment or circumstance. I think that's a brilliant metaphor. So,

0:18:58.156 --> 0:19:01.396
<v Speaker 1>but let me ask you, what song are you playing

0:19:01.476 --> 0:19:06.596
<v Speaker 1>right now? What's your feeling at a musical interpretive level

0:19:07.196 --> 0:19:12.556
<v Speaker 1>of the information you're gathering. That's a great question for

0:19:12.676 --> 0:19:16.876
<v Speaker 1>many many people, it is a referendum on the president. Now.

0:19:16.916 --> 0:19:20.716
<v Speaker 1>In some sense that's not unusual because there's an incumbent

0:19:20.836 --> 0:19:23.996
<v Speaker 1>on the ballot, but it is very particularly the case

0:19:24.156 --> 0:19:27.916
<v Speaker 1>now and for Democrats They say that they are voting

0:19:28.716 --> 0:19:32.236
<v Speaker 1>as much, if not more, to vote against the president

0:19:32.476 --> 0:19:37.276
<v Speaker 1>than for Joe Biden. They say that they are motivated

0:19:37.356 --> 0:19:41.836
<v Speaker 1>to vote. At the same time, you have the president

0:19:41.876 --> 0:19:46.356
<v Speaker 1>who has as solid and a core base of supporters

0:19:46.796 --> 0:19:53.436
<v Speaker 1>as we've ever seen, and that kind of allegiance is

0:19:53.836 --> 0:19:58.196
<v Speaker 1>something unlike we've seen. We did a study right before

0:19:58.236 --> 0:20:02.076
<v Speaker 1>the Republican Convention where we ask does Donald Trump deserve

0:20:02.156 --> 0:20:05.036
<v Speaker 1>your loyalty? And many Republicans said yes. In fact, I

0:20:05.036 --> 0:20:08.516
<v Speaker 1>even tried this. We said what's more important to you

0:20:09.116 --> 0:20:14.436
<v Speaker 1>being a Republican or being a Trump supporter? And Moore

0:20:14.596 --> 0:20:17.796
<v Speaker 1>said it was being a Trump supporter. That kind of

0:20:17.836 --> 0:20:22.916
<v Speaker 1>connection is strong. So you have deeply held, very emotional

0:20:23.396 --> 0:20:27.956
<v Speaker 1>connections to their positions on each side. And it's one

0:20:27.996 --> 0:20:31.276
<v Speaker 1>of the reasons that you can explain in the aggregate

0:20:31.916 --> 0:20:36.116
<v Speaker 1>why you've seen the president's approval ratings hold so historically

0:20:36.116 --> 0:20:40.036
<v Speaker 1>incredibly steady throughout his presidency, where the economy has gone

0:20:40.076 --> 0:20:41.996
<v Speaker 1>up or whether it's gone down, no matter what he said,

0:20:42.036 --> 0:20:45.596
<v Speaker 1>no matter what he's done. And it's also one reason

0:20:45.676 --> 0:20:49.236
<v Speaker 1>why you find remarkable stability in the polls this year

0:20:49.636 --> 0:20:52.796
<v Speaker 1>that Joe Biden edge has been about what it's been

0:20:52.876 --> 0:20:55.196
<v Speaker 1>and it's not like twenty sixteen at all, where we

0:20:55.236 --> 0:20:59.756
<v Speaker 1>saw a large fluctuations in the polling. That is on

0:20:59.796 --> 0:21:02.516
<v Speaker 1>the personal level. On the individual level, part of the

0:21:02.516 --> 0:21:05.836
<v Speaker 1>explanation for what you see in the aggregate that is

0:21:05.916 --> 0:21:10.276
<v Speaker 1>the song of twenty twenty. It is those deeply held

0:21:10.916 --> 0:21:14.916
<v Speaker 1>convictions about what people are seeing. And the final maybe

0:21:14.916 --> 0:21:18.676
<v Speaker 1>a coda if you will, on this is that there

0:21:18.716 --> 0:21:21.516
<v Speaker 1>are very different views of what kind of shape the

0:21:21.596 --> 0:21:26.716
<v Speaker 1>country is in, not just differences on how to solve

0:21:26.716 --> 0:21:32.116
<v Speaker 1>the problems. The Republicans feel that the coronavirus outbreak is

0:21:32.156 --> 0:21:37.356
<v Speaker 1>not as bad as the medical folks say that it is.

0:21:37.796 --> 0:21:43.556
<v Speaker 1>They believe that the death toll is overreported. They are

0:21:43.676 --> 0:21:48.516
<v Speaker 1>less concerned about the virus themselves. Democrats, by contrasts, believe

0:21:48.636 --> 0:21:53.156
<v Speaker 1>that the death toll is underreported. They are themselves much

0:21:53.196 --> 0:21:57.196
<v Speaker 1>more deeply concerned about the virus, and there's some personal

0:21:57.196 --> 0:22:00.076
<v Speaker 1>connection and experience in that, and that they tell us

0:22:00.076 --> 0:22:04.316
<v Speaker 1>it's affecting their communities more. The Democrats live in cities, etc.

0:22:04.836 --> 0:22:07.756
<v Speaker 1>That may be changing as they outbreak unfortunately spreads to

0:22:07.796 --> 0:22:11.676
<v Speaker 1>other places. So there's a very different view. And that's

0:22:11.676 --> 0:22:15.956
<v Speaker 1>just one example of what is happening in the country

0:22:15.996 --> 0:22:19.236
<v Speaker 1>that we don't even agree on what the facts are,

0:22:19.796 --> 0:22:24.636
<v Speaker 1>let alone the more traditional or conventional arguments around politics

0:22:24.676 --> 0:22:27.876
<v Speaker 1>of what do we do to solve this? And that

0:22:27.996 --> 0:22:31.276
<v Speaker 1>is something supposed We're still kind of wrestling with what

0:22:31.436 --> 0:22:34.956
<v Speaker 1>happens in that environment. That remains a question for me.

0:22:37.276 --> 0:22:41.156
<v Speaker 1>Exit pulling. How do you do exit pulling in this

0:22:41.236 --> 0:22:45.716
<v Speaker 1>weird COVID year where many people have mailed in ballots?

0:22:46.436 --> 0:22:48.916
<v Speaker 1>How does that game change and how will you do

0:22:48.996 --> 0:22:52.196
<v Speaker 1>the exit pulling this time around? Is it easier because

0:22:52.196 --> 0:22:55.236
<v Speaker 1>of the mail in votes or is it harder because

0:22:55.276 --> 0:22:57.276
<v Speaker 1>of the disparities in the different ways that votes are

0:22:57.276 --> 0:23:00.396
<v Speaker 1>being cast in different places. Well, the mail in votes

0:23:00.596 --> 0:23:04.876
<v Speaker 1>will have to be interviewed by phone, so that'll either

0:23:04.956 --> 0:23:08.356
<v Speaker 1>be a random digit dial phone looking for somebody voted

0:23:08.356 --> 0:23:12.476
<v Speaker 1>by mail, or where possible, you take the voter rolls,

0:23:12.596 --> 0:23:16.196
<v Speaker 1>you know the folks who returned mail ballots, and you

0:23:16.236 --> 0:23:18.836
<v Speaker 1>attach a phone number to that you call them. So

0:23:19.036 --> 0:23:21.676
<v Speaker 1>that's a change. We've always been able to reach out

0:23:21.716 --> 0:23:23.636
<v Speaker 1>and we have reached out to people who voted by

0:23:23.676 --> 0:23:26.476
<v Speaker 1>mail by telephone. That's always been a component of the

0:23:26.516 --> 0:23:28.796
<v Speaker 1>exit polls. However, this year obviously is going to be

0:23:28.836 --> 0:23:32.876
<v Speaker 1>a much larger one in the early vote. What we're

0:23:32.916 --> 0:23:36.516
<v Speaker 1>doing this year, and this is changed or it's rather

0:23:37.036 --> 0:23:41.916
<v Speaker 1>enlarged or expanded, is positioning exit poll interviewers at the

0:23:41.996 --> 0:23:46.956
<v Speaker 1>early voting sites, so they're out there now and they'll

0:23:46.996 --> 0:23:50.716
<v Speaker 1>be interviewing people who are lined up for early voting

0:23:50.756 --> 0:23:53.436
<v Speaker 1>the same way they would have been on election day

0:23:53.476 --> 0:23:56.996
<v Speaker 1>as people are leaving the polling place. And then the

0:23:57.836 --> 0:24:01.316
<v Speaker 1>final part of that, the actual election day exit poll

0:24:02.236 --> 0:24:05.876
<v Speaker 1>is going to have to deal with the fact that

0:24:05.956 --> 0:24:09.436
<v Speaker 1>polling places are consolidated, there may be more people at

0:24:09.476 --> 0:24:14.396
<v Speaker 1>those polling places, and there will be COVID protections in place,

0:24:14.516 --> 0:24:17.796
<v Speaker 1>so the interviewers will be wearing a mask, they'll be

0:24:17.876 --> 0:24:21.956
<v Speaker 1>hand sanitizer at the table. All of those are sort

0:24:21.956 --> 0:24:25.316
<v Speaker 1>of added this year. As far as the actual sampling

0:24:25.436 --> 0:24:29.116
<v Speaker 1>is concerned, people sometimes think I sort of take every

0:24:29.196 --> 0:24:31.836
<v Speaker 1>chance I can to address this. People sometimes think that

0:24:31.876 --> 0:24:36.596
<v Speaker 1>the exit poll goes to a set of Bellweather precincts.

0:24:36.596 --> 0:24:39.756
<v Speaker 1>That is not the case. It is a randomly sampled

0:24:39.836 --> 0:24:43.316
<v Speaker 1>set of precincts, and so that sampling will have to

0:24:43.356 --> 0:24:46.836
<v Speaker 1>be based on where they open up polling places, and

0:24:46.876 --> 0:24:50.516
<v Speaker 1>then people will be deployed out to a sample of them.

0:24:51.076 --> 0:24:56.276
<v Speaker 1>In the more conventional way, decision desk. You sit on

0:24:56.396 --> 0:24:59.716
<v Speaker 1>the CBS decision desk, And these decision desks are fascinating

0:24:59.756 --> 0:25:02.556
<v Speaker 1>institutions to me because I would say, and my day

0:25:02.596 --> 0:25:05.436
<v Speaker 1>job as constitutional law professor, that the decision desks, though

0:25:05.516 --> 0:25:09.076
<v Speaker 1>unmentioned in our written constitution, have come to be crucial

0:25:09.356 --> 0:25:13.476
<v Speaker 1>elements in how we in fact do the constitutional practice

0:25:13.476 --> 0:25:15.436
<v Speaker 1>of deciding who won elections. We don't have in the

0:25:15.476 --> 0:25:18.316
<v Speaker 1>United States, but a lot of countries have a central

0:25:18.556 --> 0:25:21.956
<v Speaker 1>electoral Commission for the whole country that says, here are

0:25:21.956 --> 0:25:25.116
<v Speaker 1>the results. We have fifty states which each have to

0:25:25.116 --> 0:25:27.876
<v Speaker 1>do their processing on their own, and we never wait

0:25:27.956 --> 0:25:29.836
<v Speaker 1>for all of those to count all of the votes

0:25:29.876 --> 0:25:33.316
<v Speaker 1>before we quote unquote call the election. You call the election.

0:25:33.396 --> 0:25:36.876
<v Speaker 1>And I don't just mean UCBS, I mean you, the

0:25:36.916 --> 0:25:40.076
<v Speaker 1>person sitting in charge of the decision desk with your team.

0:25:40.996 --> 0:25:45.836
<v Speaker 1>So how does it work and how different do you

0:25:45.876 --> 0:25:49.996
<v Speaker 1>think it's going to be in this strange year. It's

0:25:50.036 --> 0:25:54.116
<v Speaker 1>going to be different. People may need to be patient. However,

0:25:54.196 --> 0:25:57.276
<v Speaker 1>I don't think if folks pay attention and they listen

0:25:57.316 --> 0:25:59.396
<v Speaker 1>to us and they watch, I'll do a plug here

0:25:59.436 --> 0:26:01.716
<v Speaker 1>if they watch CBS News, but really, if they watch

0:26:02.156 --> 0:26:07.556
<v Speaker 1>a good network broadcast, they won't be confused because and

0:26:07.676 --> 0:26:10.036
<v Speaker 1>this goes to a question on how does it work.

0:26:10.996 --> 0:26:16.356
<v Speaker 1>What we do is we report what we see unfolding

0:26:17.156 --> 0:26:22.076
<v Speaker 1>from an event, which frankly has already happened. Pretty unusual

0:26:22.116 --> 0:26:24.316
<v Speaker 1>from a pulling perspective, right for once in your lives,

0:26:24.356 --> 0:26:28.276
<v Speaker 1>you're not predicting a future event. You're sort of predicting

0:26:28.276 --> 0:26:32.076
<v Speaker 1>a past event. That's exactly right, that's exactly right. We

0:26:32.116 --> 0:26:37.076
<v Speaker 1>are like a puzzle being revealed piece by piece. There's

0:26:37.156 --> 0:26:40.356
<v Speaker 1>votes in a bank somewhere, there's votes at a voting

0:26:40.356 --> 0:26:43.196
<v Speaker 1>center that are being reported, and the puzzle pieces you

0:26:43.236 --> 0:26:45.316
<v Speaker 1>could think of them as sort of county by county.

0:26:45.876 --> 0:26:49.196
<v Speaker 1>As that's revealed, we start to see a picture, and

0:26:49.276 --> 0:26:52.636
<v Speaker 1>what we're doing our best to do is report what

0:26:52.676 --> 0:26:56.356
<v Speaker 1>that picture looks like, perhaps a little ahead of anybody

0:26:56.396 --> 0:26:59.156
<v Speaker 1>else that could see it that doesn't necessarily have the

0:26:59.156 --> 0:27:02.076
<v Speaker 1>tools that we have at our disposal, and then telling

0:27:02.116 --> 0:27:05.516
<v Speaker 1>you this is what we believe has been revealed. So

0:27:05.996 --> 0:27:09.076
<v Speaker 1>that's the big picture of how it works. What we do,

0:27:09.316 --> 0:27:13.236
<v Speaker 1>specifically is we combine a bunch of different kinds of

0:27:13.316 --> 0:27:16.396
<v Speaker 1>data that we're collecting. One of them is the exit polls.

0:27:16.396 --> 0:27:19.276
<v Speaker 1>So we've got a sense from talking to voters who've

0:27:19.316 --> 0:27:23.476
<v Speaker 1>left their polling place. Now, sometimes in a state that's

0:27:23.476 --> 0:27:28.396
<v Speaker 1>completely lopsided, that's enough to make a projection about what's happened. Well,

0:27:28.436 --> 0:27:30.316
<v Speaker 1>we've heard from voters and so and so has a

0:27:30.356 --> 0:27:34.836
<v Speaker 1>fifty point lead. Okay, that person has one after the

0:27:34.916 --> 0:27:39.956
<v Speaker 1>polls have closed. But in most cases, and in certainly

0:27:39.996 --> 0:27:43.956
<v Speaker 1>in battleground tight states, that's not enough. So now you

0:27:43.956 --> 0:27:48.076
<v Speaker 1>start to get county vote coming in, and what we

0:27:48.196 --> 0:27:50.596
<v Speaker 1>do with that is we look for patterns in it.

0:27:51.516 --> 0:27:53.996
<v Speaker 1>You can look for patterns and you can model data

0:27:54.036 --> 0:27:56.676
<v Speaker 1>in a bunch of different ways. So one would be

0:27:56.996 --> 0:28:00.636
<v Speaker 1>to compare it to pass vote. Let's suppose in county

0:28:00.676 --> 0:28:05.756
<v Speaker 1>after county you see Joe Biden running five points better

0:28:05.836 --> 0:28:10.076
<v Speaker 1>than any Democrat has than the last time, typical Democrats

0:28:10.156 --> 0:28:13.356
<v Speaker 1>or whatever. Well, if you get twenty counties and in

0:28:13.436 --> 0:28:16.916
<v Speaker 1>every single one he's in sagurated example, every single one

0:28:17.036 --> 0:28:20.596
<v Speaker 1>he's five points better than past Democrats, well you can

0:28:20.636 --> 0:28:23.596
<v Speaker 1>make a pretty good inference about what he'll do in

0:28:23.796 --> 0:28:26.756
<v Speaker 1>the remaining counties, maybe five points better than what if

0:28:26.756 --> 0:28:29.956
<v Speaker 1>the Democrat did there, and you can extrapolate that out

0:28:30.476 --> 0:28:34.156
<v Speaker 1>to what he might get statewide, and off you go

0:28:34.476 --> 0:28:38.356
<v Speaker 1>to get a statewide estimate and maybe a projection. But

0:28:38.996 --> 0:28:41.716
<v Speaker 1>where it gets more difficult is, let's suppose you get

0:28:41.756 --> 0:28:44.956
<v Speaker 1>county by county and there's a lot of variants in that.

0:28:45.116 --> 0:28:47.796
<v Speaker 1>So Joe Biden in some places is doing five points better,

0:28:47.916 --> 0:28:51.516
<v Speaker 1>someplaces fifteen points better, and someplaces ten points worse and

0:28:51.716 --> 0:28:55.196
<v Speaker 1>some places twenty points worse. Well, there's no clear pattern

0:28:55.236 --> 0:28:57.356
<v Speaker 1>in that. So what do you do with it? Well,

0:28:57.836 --> 0:29:00.996
<v Speaker 1>not much. You wait before you make a projection. What

0:29:01.116 --> 0:29:04.396
<v Speaker 1>I would add after all that is if you see

0:29:04.476 --> 0:29:07.556
<v Speaker 1>a network say oh we're waiting for vote someplace or

0:29:07.596 --> 0:29:10.556
<v Speaker 1>it's too close to call, that's not always the case.

0:29:10.716 --> 0:29:12.836
<v Speaker 1>What I will tell you, when I try to tell

0:29:12.916 --> 0:29:17.036
<v Speaker 1>you is the patterns here are uncertain. We can't get

0:29:17.036 --> 0:29:19.596
<v Speaker 1>a read on this just yet. It's not that we

0:29:19.796 --> 0:29:24.596
<v Speaker 1>don't have any information. It's that that information looks like

0:29:24.636 --> 0:29:28.396
<v Speaker 1>a big cloud instead of a straight line. And that

0:29:28.516 --> 0:29:32.476
<v Speaker 1>I think, I hope is helpful to people as we

0:29:32.556 --> 0:29:36.996
<v Speaker 1>are transparently trying to describe for you what we see

0:29:37.596 --> 0:29:42.396
<v Speaker 1>being revealed as it's revealed. I don't think of myself

0:29:42.396 --> 0:29:47.076
<v Speaker 1>as filling a constitutional duty, and I remind people we

0:29:47.196 --> 0:29:51.036
<v Speaker 1>do not as networks seat anyone in office. We don't

0:29:51.076 --> 0:29:55.076
<v Speaker 1>certify any votes. We are reporting, I would dare say,

0:29:55.156 --> 0:29:59.276
<v Speaker 1>merely reporting what it is that the voters have done.

0:29:59.396 --> 0:30:02.636
<v Speaker 1>And that's not a sort of false humility. It is,

0:30:02.676 --> 0:30:05.756
<v Speaker 1>in fact the case, as much as the bright lights

0:30:05.756 --> 0:30:08.716
<v Speaker 1>and TV cameras make it seem like it's very, very

0:30:08.756 --> 0:30:12.356
<v Speaker 1>important well, and the fact is that the candidates also

0:30:12.396 --> 0:30:15.036
<v Speaker 1>act on that basis of information. At least back in

0:30:15.076 --> 0:30:18.396
<v Speaker 1>the day, when there were concessions and declarations of victory

0:30:18.436 --> 0:30:21.556
<v Speaker 1>that were credible, they were often based on precisely the

0:30:21.636 --> 0:30:24.876
<v Speaker 1>data that you were aggregating. Thank you for taking the time, Anthony,

0:30:24.876 --> 0:30:26.876
<v Speaker 1>really thank you. I really appreciate it. No, thank you,

0:30:26.916 --> 0:30:35.916
<v Speaker 1>and I hope we get to talk more soon. Talking

0:30:35.956 --> 0:30:40.196
<v Speaker 1>to Anthony Salvanto led to a few powerful takeaways for me.

0:30:41.316 --> 0:30:44.996
<v Speaker 1>Most significantly, Anthony made the point that a lot of

0:30:45.036 --> 0:30:49.316
<v Speaker 1>the reliability of the existing polls depends on people who

0:30:49.436 --> 0:30:52.356
<v Speaker 1>say they are first time voters and that they will

0:30:52.436 --> 0:30:56.196
<v Speaker 1>vote for Joe Biden. The lead that Biden has in

0:30:56.276 --> 0:30:59.476
<v Speaker 1>so many polls is, he says, in important ways, a

0:30:59.596 --> 0:31:04.676
<v Speaker 1>product of believing those voters what they do will have

0:31:04.876 --> 0:31:09.076
<v Speaker 1>a large impact on the outcome of the election. Another

0:31:09.156 --> 0:31:12.116
<v Speaker 1>their takeaway is just how different this time around may

0:31:12.156 --> 0:31:15.356
<v Speaker 1>be from previous times. People will be voting in different

0:31:15.356 --> 0:31:19.316
<v Speaker 1>places than usual, and that means that exit polling also

0:31:19.436 --> 0:31:22.356
<v Speaker 1>has to follow a different approach. What's more, there will

0:31:22.396 --> 0:31:25.316
<v Speaker 1>be mail in votes, potentially in very large numbers, and

0:31:25.436 --> 0:31:31.036
<v Speaker 1>those two need to be incorporated into changed models. Last,

0:31:31.156 --> 0:31:35.876
<v Speaker 1>but by no means least, there's Anthony's idea that individual polls,

0:31:35.996 --> 0:31:39.316
<v Speaker 1>like the kind he conducts, give you the music of

0:31:39.356 --> 0:31:43.196
<v Speaker 1>the election, as opposed to the aggregated beat that comes

0:31:43.236 --> 0:31:46.716
<v Speaker 1>from adding lots of polls together, and for him, the

0:31:46.876 --> 0:31:50.276
<v Speaker 1>music of the election. The song of this election is

0:31:50.356 --> 0:31:53.756
<v Speaker 1>Democratic voters very eager to get rid of Donald Trump

0:31:53.836 --> 0:31:57.676
<v Speaker 1>on the one side, and deeply loyal Trump voters, for

0:31:57.756 --> 0:32:00.156
<v Speaker 1>whom being a Trump supporter is even more important than

0:32:00.196 --> 0:32:04.436
<v Speaker 1>being a Republican on the other. In other words, the

0:32:04.476 --> 0:32:10.036
<v Speaker 1>future of our republic is genuinely at stake. Remember to

0:32:10.116 --> 0:32:14.356
<v Speaker 1>tune into our special series Deep Bench this Saturday. Until

0:32:14.396 --> 0:32:17.476
<v Speaker 1>the next time I speak to you, be careful, be safe,

0:32:17.676 --> 0:32:21.596
<v Speaker 1>and be well. Deep Background is brought to you by

0:32:21.636 --> 0:32:25.556
<v Speaker 1>Pushkin Industries. Our producer is Lydia Gencott, our engineer is

0:32:25.596 --> 0:32:29.276
<v Speaker 1>Martin Gonzalez, and our showrunner is Sophie Crane mckibbon. Theme

0:32:29.356 --> 0:32:32.636
<v Speaker 1>music by Luis Guerra at Pushkin. Thanks to Mia Lobell,

0:32:32.836 --> 0:32:36.676
<v Speaker 1>Julia Barton, Heather Faine, and Carlie mcliori, Mackie Taylor, Eric Sandler,

0:32:36.676 --> 0:32:39.436
<v Speaker 1>and Jacob Weisberg. You can find me on Twitter at

0:32:39.436 --> 0:32:42.596
<v Speaker 1>Noah R. Feldman. I also write a column for Bloomberg Opinion,

0:32:42.716 --> 0:32:45.316
<v Speaker 1>which you can find at Bloomberg dot com slash Feldman.

0:32:45.876 --> 0:32:49.236
<v Speaker 1>To discover Bloomberg's original slate of podcasts, go to Bloomberg

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0:32:52.236 --> 0:32:55.676
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0:32:55.716 --> 0:32:56.476
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