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364 andrew gelman stats-2010-10-22-Politics is not a random walk: Momentum and mean reversion in polling


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Introduction: Nate Silver and Justin Wolfers are having a friendly blog-dispute about momentum in political polling. Nate and Justin each make good points but are also missing parts of the picture. These questions relate to my own research so I thought I’d discuss them here. There ain’t no mo’ Nate led off the discussion by writing that pundits are always talking about “momentum” in the polls: Turn on the news or read through much of the analysis put out by some of our friends, and you’re likely to hear a lot of talk about “momentum”: the term is used about 60 times per day by major media outlets in conjunction with articles about polling. When people say a particular candidate has momentum, what they are implying is that present trends are likely to perpetuate themselves into the future. Say, for instance, that a candidate trailed by 10 points in a poll three weeks ago — and now a new poll comes out showing the candidate down by just 5 points. It will frequently be said that this


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 When people say a particular candidate has momentum, what they are implying is that present trends are likely to perpetuate themselves into the future. [sent-5, score-0.38]

2 Say, for instance, that a candidate trailed by 10 points in a poll three weeks ago — and now a new poll comes out showing the candidate down by just 5 points. [sent-6, score-0.684]

3 They create the impression that — if the candidate has gone from being 10 points down to 5 points down, then by next week, he’ll have closed his deficit further: perhaps he’ll even be ahead! [sent-9, score-0.406]

4 But, as Nate points out, this ain’t actually happening: Say that a candidate has improved her position in the polls from August to September. [sent-10, score-0.625]

5 Sometimes, a candidate who has gained ground in the polls continues to do so; otherwise, the trend reverses itself, or the race simply flatlines. [sent-18, score-0.695]

6 There is also no sign of momentum we look at the change in polling between other periods. [sent-22, score-0.58]

7 In general elections, the direction in which polls have moved is not predictive of the direction in which they will move . [sent-26, score-0.548]

8 Nate is saying that the change from A to B does not predict the change from B to C (or, to be precise, that the change from A to B is a very weak and negative predictor of the change from B to C). [sent-32, score-0.488]

9 Public opinion is not a random walk Nate does slip up at one point, when he writes: In races with lots of polling, instead, the most robust assumption is usually that polling is essentially a random walk, i. [sent-47, score-0.826]

10 , that the polls are about equally likely to move toward one or another candidate, regardless of which way they have moved in the past. [sent-49, score-0.518]

11 For many races, you can use a forecast from the fundamentals to get a pretty good idea about where the polls are going to end up. [sent-51, score-0.367]

12 Or, if you want to focus on congressional elections, take a look at the work of Erikson, Bafumi, and Wlezien , who find predictable changes in the generic opinion polls in the year leading up to the election. [sent-54, score-0.538]

13 First, individual polls are noisy, and so any immediate changes are likely to be noise. [sent-56, score-0.509]

14 Second, the random walk is such a standard paradigm for statistical noise that it’s natural for Nate to use it as a default. [sent-57, score-0.434]

15 If a team has an unexpectedly good record midway through the season, it’s likely that they will slip in the standings during the second half. [sent-65, score-0.367]

16 (I was going to write “the random walk story contributes to . [sent-68, score-0.405]

17 ) The natural accompaniment to the random walk model is the idea that, if you can shift the polls by X percentage points at any point during the campaign, this will give you an expected X percentage point advantage when the election comes around. [sent-72, score-0.983]

18 Another implication is that George Bush’s campaign was so awesome and Michael Dukakis’s campaign was so horrible to explain the big swing in the polls in the months leading up to the 1988 election. [sent-73, score-0.658]

19 ( We think a much more plausible story is that the polls were gonna swing toward Bush big-time, and the perceived incompetence of Dukakis’s campaign was a consequence, not a cause, of this polling shift. [sent-74, score-0.713]

20 As Nate emphasizes, such a prediction is only appropriate in the context of real-world information, hypotheses of “factors above and beyond the direction in which the polls have moved in the past. [sent-77, score-0.554]


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