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Election polls are actually getting better
Insider
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10/18/2024
When pollsters failed to see the surge of support for Donald Trump in 2016 and 2020, it seemed like a low point for the industry. But in fact, surveys are getting more accurate, as a look through the archives shows.
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00:00
That says it all. It's the Trump.
00:02
Trust in polls and pollsters hit a new low in 2016,
00:07
when most showed that Hillary Clinton was more likely to win.
00:11
How did the polls lead us astray?
00:13
It just came out of nowhere.
00:15
And then again in 2020.
00:17
The polling was wrong. It was wrong again.
00:20
Fast forward to 2024, and few are daring to make a call.
00:25
I mean, this is the closest race in American history.
00:27
It is really neck and neck.
00:29
In fact, there is only one perfect poll,
00:33
and that's called an election.
00:35
Believe it or not, the polls are not becoming
00:37
less accurate over time.
00:38
So how did a once-respected industry
00:41
that grew to a value of $20 billion come to this?
00:45
And can it win that trust back?
00:47
Fame statistician Dr.
00:49
George Gallup tells Washington from week to week
00:51
what the nation is thinking.
00:54
It's been more than 80 years
00:55
since a man named George Gallup conducted his first poll.
00:59
He used a simple but effective technique
01:01
to survey the opinions of the American public.
01:04
5,000 men and women mathematically chosen
01:06
from every walk of American life
01:08
to make up an accurate microcosm of the entire U.S. population.
01:12
Before this time, surveys had been a lot less scientific.
01:17
How are you going to vote?
01:18
I'm going to vote for Roosevelt
01:19
because I think he's going to bring back the ban.
01:22
The most reputable forecasting of the early 20th century
01:25
was conducted by the Literary Digest.
01:28
It asked readers to mail in sample ballots.
01:31
In 1936, though, the Literary Digest backed
01:34
Alf Landon to win the presidential election.
01:37
But Roosevelt ended up winning by a landslide.
01:41
The great American public has its say at the polls,
01:44
and the result is a Roosevelt victory of amazing proportion.
01:48
George Gallup had predicted that result
01:51
by surveying a wider cross-section of Americans.
01:54
Today, the true cross-section survey
01:56
has become a trusted political barometer.
01:59
The Literary Digest went bankrupt,
02:01
and Gallup's polls became a hit.
02:03
The Gallup surveys of the 1930s
02:06
ushered in a new era for polling and for voter confidence in it.
02:10
Back then, Americans were not only willing
02:12
but excited to talk to pollsters.
02:15
It used to be such an honor to be included
02:19
as one of the special households
02:21
who got to speak for thousands of Americans.
02:24
In 1948, Time magazine even described Gallup
02:27
as the Babe Ruth of the polling profession.
02:31
That same year, Gallup backed the wrong candidate
02:33
in the presidential race, but his reputation survived.
02:37
We know that no better method has yet been found
02:40
for measuring political trend.
02:43
Those were the days when polling was revered,
02:48
and technology had to catch up with polling,
02:50
which it finally did in the 1970s.
02:53
Once telephones were widespread in people's homes,
02:55
pollsters didn't have to go door-to-door anymore.
02:58
But there was a downside.
03:00
Telephone response rates began to fall in the 90s
03:02
with the invention of caller ID.
03:05
Some companies eventually transitioned to online surveys
03:08
that voters can respond to whenever they want.
03:11
And by the early 2000s,
03:13
there were more than 5,000 polling organizations in the U.S.
03:17
That's when a baseball statistician named Nate Silver
03:20
analyzed a number of polls and fed them into models
03:23
that simulated the elections.
03:25
He used them to come up with forecasts
03:27
and give the public a glimpse
03:28
of what Election Day in 2008 could look like.
03:31
And may God bless the United States of America.
03:34
Silver was able to correctly predict the winner
03:37
in every state except for one.
03:40
Basically, he made polls cool again.
03:43
But in the 2016 elections, all of this changed.
03:47
Look at how close we are to the polls.
03:49
Look at how close he is.
03:51
Right now, he has 257 electoral votes.
03:54
He needs 13 more.
03:56
It wasn't just a tough night for the news industry
03:58
but for pollsters.
04:00
I had chills when it became clear,
04:04
whatever it was, 9, 10 o'clock Eastern time,
04:06
that this was no layup for Hillary Clinton.
04:09
It was a huge shock.
04:11
Dr. Wong, you tweeted recently
04:13
that you were so sure of the result
04:15
that you'd put it up on the screen, eat a bug.
04:18
A lot of people were wrong,
04:19
but nobody else made the promise I did.
04:21
The polls basically got trashed.
04:24
But that wasn't totally fair.
04:26
Polls are not meant to be a exactly perfect prediction
04:29
of what the eventual vote breakdown is going to be.
04:32
And it's normal for the polls to be three to four points off.
04:34
The polls did miss, but not by an unusual amount.
04:38
They were off by about 4.8 percentage points.
04:42
That's within half a point of the average error
04:44
for election polls over the last 50 years.
04:47
On election day, pollsters said that Clinton was leading
04:50
by about 3.2 percentage points.
04:53
Clinton did end up winning the popular vote,
04:55
but by a smaller margin of 2.1 points.
04:59
And as we all know, she lost the election.
05:01
What happened was that Trump was able
05:03
to win the electoral votes in a lot of states
05:05
where Clinton was leading by a small margin.
05:08
But fine margins can make a huge difference
05:10
in the electoral college.
05:12
Part of the problem was that pollsters were too focused
05:14
on talking to those who seemed like likely voters
05:17
based on their past voting history.
05:19
The people who ended up voting for him
05:21
are perhaps low propensity, low turnout voters
05:24
who would not pass a likely voter screen
05:26
or just not be reached by a poll at all,
05:28
but did ultimately turn out to vote for him.
05:30
They also didn't factor in education levels.
05:33
College-educated voters were more likely to vote for Clinton
05:36
and they were also more likely to respond to surveys.
05:40
So by not adjusting the sample, pollsters ended up
05:42
with a forecast that overestimated support for Clinton.
05:46
You can end up in a situation
05:47
where you just miss a big part of the electorate
05:49
and end up underestimating a campaign support.
05:52
Ultimately, the results didn't match the scenario
05:54
the media had hyped up the most.
05:57
But the reputational damage seemed to be done
06:00
and the public started to lose faith.
06:02
Get it done! Get it done!
06:05
Pollsters tried to implement a couple of changes
06:07
in the 2018 midterm elections,
06:10
like factoring in educated voters,
06:12
and the forecasts turned out to be correct.
06:15
But when 2020 came around,
06:17
lack of trust was still one of Jay's biggest challenges.
06:20
Voters were reluctant to answer his questions.
06:23
How do we draw a sample that actually is random?
06:28
And we as a profession are struggling right now
06:32
with how to do that
06:33
because people do not want to be bothered.
06:36
They have ways of communicating that are invisible to us.
06:40
Trump voters are less willing to participate in the polls,
06:43
but not because they're shy.
06:45
If you have been conditioned for four years
06:49
by tweet after tweet that says,
06:51
that poll that shows me, Donald Trump,
06:55
trailing is a fake poll,
06:57
you may be reluctant to talk to a pollster.
07:01
And any poll that the fake news gives you,
07:03
because the real numbers are higher,
07:05
but any poll they give you is a fake.
07:07
Pollsters did correctly predict
07:09
that Joe Biden would win the 2020 election,
07:12
but they again underestimated support for Trump.
07:15
One of the states that first started reporting its votes
07:17
was Florida, where polls had Biden up by a few points,
07:20
but it was still expected to be a very close race.
07:22
As results started coming in,
07:24
we saw that Trump was overperforming the polls again.
07:27
News organizations chose to represent
07:29
their predictions in new ways.
07:31
The New York Times published a table
07:33
that included a column that read,
07:35
if polls are as wrong as they were in 2016.
07:39
And even FiveThirtyEight showed a number of maps
07:42
to tease the idea of multiple scenarios.
07:45
Overall, the polls did all right.
07:47
Between response rates,
07:48
coming up with a representative sample,
07:50
and accounting for the pandemic,
07:52
given that, it is pretty impressive
07:54
that polls did predict the right winner.
07:56
They were off by four points,
07:57
and that's normal by historical standards.
08:01
More than 100 years after the first poll was conducted,
08:04
the industry has had to reinvent itself all over again.
08:09
Would you mind telling us
08:09
who you're going to vote for and why?
08:11
I'm going to vote for Governor Roosevelt
08:13
because I think he'll bring back prosperity.
08:16
I think Hoover deserves another chance.
08:18
I'm sure he's the best man for that office.
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