What Happens to Polling if the Polls Are Wrong in a Big Way Again
What Went Wrong With Polling? Some Early Theories
Pollsters thought they had learned from the errors of 2016. Information technology's possible that they did, and that this ballot reflects new issues.
Request for a polling post-mortem at this stage is a little fleck like asking a coroner for the cause of death while the body is still at the crime scene. You're going to have to wait to conduct a total autopsy.
But make no mistake: It's not too early to say that the polls' systematic understatement of President Trump'south back up was very similar to the polling misfire of iv years ago, and might have exceeded it.
For now, there is no easy alibi. Afterward 2016, pollsters arrived at plausible explanations for why surveys had systematically underestimated Mr. Trump in the battlefield states. I was that state polls didn't properly weight respondents without a higher degree. Some other was that there were factors across the scope of polling, like the big number of undecided voters who appeared to interruption sharply to Mr. Trump in the final stretch.
This year, there seemed to be less cause for concern: In 2020, most state polls weighted by education, and there were far fewer undecided voters.
Just in the terminate, the polling error in states was near identical to the miss from 2016, despite the steps taken to ready things. The Upshot's handy "If the polls were as wrong as they were in 2016" chart turned out to be more useful than expected, and it nailed Joe Biden'due south one-betoken-or-less leads in Pennsylvania, Georgia and Arizona.
Terminal 2020 poll avg. | 2020 polls with 2016 mistake | 2020 Result | ||
---|---|---|---|---|
U.South. † | +viii Biden | +6 Biden | +5 Biden | |
N.H. | +11 Biden | +7 Biden | +7 Biden | |
Wis. | +10 Biden | +four Biden | <1 Biden | |
Minn. | +10 Biden | +four Biden | +7 Biden | |
Mich. | +8 Biden | +4 Biden | +iii Biden | |
Nev. | +6 Biden | +8 Biden | +iii Biden | |
Pa. † | +v Biden | <1 Biden | +i Biden | |
Nib. 2* | +5 Biden | +9 Biden | +7 Biden | |
Maine 2* | +3 Biden | +9 Trump | +seven Trump | |
Ariz. | +three Biden | +i Biden | <ane Biden | |
Fla. | +two Biden | <1 Biden | +iii Trump | |
N.C. | +2 Biden | +3 Trump | +1 Trump | |
Ga. | +2 Biden | <1 Biden | <one Biden | |
Ohio | <1 Trump | +6 Trump | +8 Trump | |
Iowa | +1 Trump | +five Trump | +8 Trump | |
Texas | +2 Trump | +four Trump | +six Trump |
The national polls were even worse than they were four years ago, when the industry'south about highly respected and rigorous survey houses generally found Hillary Clinton leading past four points or less — close to her 2.ane-signal popular-vote victory. This year, Mr. Biden is on runway to win the national vote past around five percentage points; no major national live-interview telephone survey showed him leading past less than 8 percentage points over the terminal month of the race.
The New York Times/Siena College polls were also less authentic than they were in 2018 or 4 years ago. In 2016, the terminal ii Times/Siena polls were amidst a very minor group of polls to show Mr. Trump tied or alee in Florida and North Carolina. This time, nearly all of the Times/Siena surveys overestimated Mr. Biden to most the aforementioned extent as other surveys.
In the months ahead, troves of information will help add together context to exactly what happened in this ballot, similar concluding turnout information, the results by precinct, and updated records of which voters turned out or stayed dwelling house. All of this information can be appended to our polling, to smash down where the polls were off most and help betoken toward why. Only for now, information technology's still too soon for a confident answer.
In the broadest sense, there are two ways to interpret the echo of 2016's polling error. One is that pollsters were entirely wrong about what happened in 2016. As a result, the steps they took to address it left them no better off. Another is that survey research has gotten even more challenging since 2016, and whatever steps pollsters took to ameliorate afterward 2016 were canceled out by a new prepare of problems.
Of these 2, the latter interpretation — existent improvements canceled out by new challenges — may brand the most sense.
"I recollect our polls would have been fifty-fifty worse this yr had nosotros employed a pre-2016 methodology," said Nick Gourevitch of Global Strategy Grouping, a Democratic polling firm that took steps to better correspond Mr. Trump's supporters. "These things helped make our data more conservative, though conspicuously they were not enough on their ain to solve the problem."
The explanation for 2016's polling error, while non necessarily consummate or definitive, was not contrived. Many land pollsters badly underrepresented the number of voters without a college degree, who backed Mr. Trump in huge numbers. The pollsters went back to their data after 2016, and found that they would accept been much closer to the election result if they had employed the standard instruction adjustments that national surveys have long used. An Event analysis of national surveys constitute that failing to weight past education cost Mr. Trump about 4 points in polling support — enough to cover much of the 2016 polling error. Other pollsters had similar findings.
But this time, educational activity weighting didn't seem to help. State and national polls consistently showed Mr. Biden faring far better than Mrs. Clinton did among white voters without a caste. Last week's results fabricated it articulate that he didn't.
Over all, the final national surveys in 2020 showed Mr. Trump leading by a margin of 58 percentage to 37 percent amid white voters without a degree. In 2016, they showed Mr. Trump ahead by far more than, 59-30. The results by county propose that Mr. Biden made few gains at all among white voters without a degree nationwide, and even did worse than Mrs. Clinton's 2016 showing in many critical states.
In contrast, the 2016 polls did show the decisive and sharp shift among white voters without a degree, merely underestimated its effect in many states because they underestimated the size of the grouping. Many state polls showed college graduates representing one-half of the probable electorate in 2016, compared with most 35 percentage in census estimates.
The poll results amid seniors are some other symptom of a deeper failure in this year's polling. Unlike in 2016, surveys consistently showed Mr. Biden winning past comfortable margins among voters 65 and over. The concluding NBC/WSJ poll showed Mr. Biden upwards 23 points among the group; the final Times/Siena poll showed him upward by x. In the final account, there will be no reason to believe whatever of it was real.
This is a deeper kind of error than ones from 2016. It suggests a fundamental mismeasurement of the attitudes of a large demographic grouping, not merely an underestimate of its share of the electorate. Put differently, the underlying raw survey data got worse over the last 4 years, canceling out the changes that pollsters made to accost what went incorrect in 2016.
It helps explicate why the national surveys were worse than in 2016; they did weight past pedagogy four years ago and have made few to no changes since. It as well helps explain why the mistake is so tightly correlated with what happened in 2016: It focuses on the same demographic group, even if the underlying source of the fault among the group is quite different.
Polling clearly has some serious challenges. The industry has always relied on statistical adjustments to ensure that each group, like white voters without a degree, represents its proper share of the sample. But this helps only if the respondents yous achieve are representative of those you don't. In 2016, they seemed to be representative enough for many purposes. In 2020, they were non.
So how did the polls become worse over the last iv years? This is mainly speculation, but consider just a few possibilities:
The president (and the polls) hurt the polls. At that place was no existent indication of a "hidden Trump" vote in 2016. But maybe there was i in 2020. For years, the president attacked the news media and polling, among other institutions. The polls themselves lost quite a bit of credibility in 2016.
Information technology'southward hard non to wonder whether the president's supporters became less likely to respond to surveys as their skepticism of institutions mounted, leaving the polls in a worse spot than they were four years agone.
"We at present have to accept seriously some version of the Shy Trump hypothesis," said Patrick Ruffini, a Republican pollster for Echelon Insights. Information technology would exist a "trouble of the polls simply not reaching large elements of the Trump coalition, which is causing them to underestimate Republicans across the lath when he's on the ballot."
(This is different from the typical Shy Trump theory that Trump supporters don't tell pollsters the truth.)
A related possibility: During his term, Mr. Trump might accept fabricated gains among the kinds of voters who would be less likely to respond to surveys, and might have lost additional ground amid voters who would exist more likely to respond to surveys. College education, of form, is merely a proxy for the traits that predict whether someone might back Mr. Trump or respond to a poll. There are other proxies besides, like whether you trust your neighbour; volunteer your time; are politically engaged.
Another proxy is turnout: People who vote are likelier to take political surveys. The Times/Siena surveys go to great lengths to reach nonvoters, which was a major reason our surveys were more favorable for the president than others in 2016. In 2020, the nonvoters reached by The Times were generally more favorable for Mr. Biden than those with a track record of turning out in recent elections. Information technology'southward possible that, in the end, the last data will suggest that Mr. Trump did a amend chore of turning out nonvoters who backed him. But it's also possible that we reached the wrong low-turnout voters.
The resistance hurt the polls. Information technology's well established that politically engaged voters are likelier to respond to political surveys, and information technology's clear that the election of President Trump led to a surge of political engagement on the left. Millions attended the Women's March or took part in Black Lives Thing protests. Progressive activists donated enormous sums and turned out in record numbers for special elections that would have never earned serious national attention in a different era.
This surge of political participation might have also meant that the resistance became likelier to respond to political surveys, controlling for their demographic characteristics. Are the "MSNBC moms" now excited to take a poll while they put Rachel Maddow on mute in the background? Like about of the other theories presented here, there'due south no difficult evidence for it — just it does fit with some well-established facts nigh propensity to reply to surveys.
Prototype
The turnout hurt the polls. Political pollsters have oftentimes assumed that higher turnout makes polling easier, since it means that there'south less doubt about the limerick of the electorate. Maybe that's not how it worked out.
Heading into the ballot, many surveys showed something unusual: Democrats faring better amongst likely voters than among registered voters. Usually, Republicans hold the turnout edge.
Take Pennsylvania. The final CNN/SSRS poll of the country showed Mr. Biden up past 10 points amidst probable voters, but by merely five among registered voters. Monmouth showed Mr. Biden up by vii amidst likely voters in a "high-turnout" scenario (which it ended upwards being), simply by five points among registered voters. Marist? It had a pb of 6 points among likely voters and five points among registered voters. The ABC/Washington Post showed a seven-point lead for Mr. Biden amongst likely voters and a 4-bespeak lead amid registered voters.
It's even so too soon to say whether Republican turnout shell Democratic turnout, simply information technology sure seems possible. In Florida, the one country where we do have difficult turnout information, registered Republicans outnumbered registered Democrats by well-nigh two percentage points amid those who actually voted, even though Democrats outnumber Republicans among registered voters past near 1.v points in the land. Here, in that location is no incertitude that the turnout was better for the president than the polls suggested, whether they're individual polls or the concluding Times/Siena poll — which showed registered Republicans with an edge of 0.7 points.
If Mr. Trump fared meliorate amid likely voters than amid registered voters in Pennsylvania, a key misfire on the estimate of turnout could very speedily explain some of the miss.
Unlike the other theories presented here, this ane can exist proved false or true. States will eventually update their voter registration files with a tape of whether voters turned out in the election. We'll exist able to run into the exact limerick of the electorate by party registration, and nosotros'll too be able to see which of our respondents voted. Perhaps Mr. Trump'south supporters were likelier to follow through. We might start to become data from North Carolina and Georgia in the adjacent few weeks. Other states might have longer.
The pandemic injure the polls. Recollect those Times/Siena polls from October 2019 that showed Mr. Biden narrowly leading Mr. Trump? They turned out to be very close to the bodily result, at least outside of Florida. They were certainly closer than the Times/Siena polls conducted since.
It wasn't just the Times/Siena polls that were closer to the mark farther alee of the ballot. Results from pollsters in February and March look only about dead-on in hindsight, with Mr. Biden leading by about 6 points among registered voters nationwide, with a very narrow pb in the "bluish wall" states, including a tied race in Wisconsin.
One possibility is that the polls were just as poor in October 2019 as in October 2020. If so, Mr. Trump actually held a clear lead during the wintertime. Maybe. Another possibility is that the polls got worse over the terminal yr. And something really big did happen in American life over that time: the coronavirus pandemic.
"The basic story is that subsequently lockdown, Democrats just started taking surveys, considering they were locked at dwelling house and didn't have anything else to do," said David Shor, a Democratic pollster who worked for the Obama campaign in 2012. "Near all of the national polling mistake can be explained by the post-Covid jump in response rates amongst Dems," he said.
Circumstantial evidence is consistent with that theory. We know that the virus had an effect on the polls: Pollsters giddily reported an increase in response rates. High-powered studies showed Mr. Biden gaining in coronavirus hot spots, seeming to confirm the supposition that the pandemic was pain the president.
But if Mr. Shor is correct, the studies weren't showing a shift in the attitudes of voters in hot spots; rather, it was a shift in the tendency for supporters of Mr. Biden to respond to surveys.
Adding to the intrigue: There is no evidence that the president fared worse in coronavirus hot spots, contrary to the expectations of pundits or studies. Instead, Mr. Trump fared slightly improve in places with high coronavirus cases than in places with lower coronavirus cases, controlling for demographics, based on the preliminary results by canton and so far. This is well-nigh obviously true in Wisconsin, one of the nation's current hot spots and the battleground country where the polls underestimated Mr. Trump the most. The final polls in Wisconsin — including the final Times/Siena poll — showed Mr. Biden gaining in the state, fifty-fifty equally polls elsewhere showed Mr. Trump making gains.
Don't forget the Hispanic vote. There's one state in detail where the polls were much worse in 2020 than in 2016: Florida, where Mr. Trump fabricated huge gains among Hispanic voters.
What happened in Miami-Dade County was stunning. Mr. Biden won by just 7 points in a county where Mrs. Clinton won by 29 points. No pollster saw the extent of it coming, not even those conducting polls of Miami-Dade County or its competitive congressional districts.
Virtually polls probably weren't fifty-fifty in the ballpark. The final Times/Siena poll of Florida showed Mr. Biden with a 55-33 atomic number 82 among Hispanic voters. In the final business relationship, Mr. Biden may barely win the Hispanic vote in the land.
What happened in Miami-Dade was non only about Cuban-Americans. Although Democrats flipped a Senate seat and are leading the presidential race in Arizona, Mr. Trump fabricated huge gains in many Hispanic communities beyond the country, from the agricultural Imperial Valley and the border towns along the Rio Grande to more urban Houston or Philadelphia.
Many national surveys don't release results for Hispanic voters because any given survey usually has only a pocket-size sample of the group. It will exist some time until the major pollsters postal service their results to the Roper Center, a repository of detailed polling data. Then nosotros'll exist able to dig in and see exactly what the national polls showed among this group.
But if the Florida polls are whatsoever indication, it'south at least possible that national surveys missed Mr. Trump's force among Hispanic voters. It seems entirely possible that the polls could have missed by 10 points among the group. If true, information technology would account for a small but pregnant office — maybe ane-quaternary — of the national polling fault.
These are the initial guesses. Other theories will sally. In time, to the extent they tin be, all of them will be put to the test. And so nosotros'll know more than we practise at present, and can revisit this question.
Source: https://www.nytimes.com/2020/11/10/upshot/polls-what-went-wrong.html
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