They had her anywhere between a 70-90% chance to win. If you predict 90% chance that something will happen, and it always happens, your prediction is wrong because you should have predicted 100%.
When I hear someone say “you can’t trust the polls because they got 2016 ‘wrong’” they are just telling me they don’t understand statistics.
And its important to note that these predictions were for the pop vote, which she did actually win, so they were actually right.
I’m not sure this is entirely true. Many polls just look at the popular vote, but most of the polls that claim “chance of winning” take into account the EC.
538 had her going into the election with a 70% chance of winning the electoral college. Nate Silver also went on multiple shows basically doing everything he could to get people to understand that meant 3 out of 10 times she loses.
No, 538 (and RCP?) actually has a rolling projection of ‘real’ chance to win the EC. But the chances of Hillary declined from >90% to 70% in the last week or so. When she was >90% everybody would say it looked like she was going to win, and that’s what people remember.
It’s been awhile since I read anything about that, but it seems like the last time I read about it, was something along: “80% of polls have Hillary projected to win”, but the actual polls that they were using were all almost within the margin of error.
I understand the point you’re making about probabilities, but we’re speaking in the context of politics. Polls accurately predicted the results in 2008 and 2012. Something fundamentally changed in 2016, and the polls were off across the board.
And in reality we are talking about an weighted error difference of about 1.3/1.5 points between 2008/2012 and 2016. It’s not like they got it massively wrong.
You said something changed, and then I showed how last election they were actually more accurate than in the past. And I already pointed out that they were “wrong” about 2016. So I’m not sure what your point is about this.
They had her anywhere between a 70-90% chance to win. If you predict 90% chance that something will happen, and it always happens, your prediction is wrong because you should have predicted 100%.
When I hear someone say “you can’t trust the polls because they got 2016 ‘wrong’” they are just telling me they don’t understand statistics.
And its important to note that these predictions were for the pop vote, which she did actually win, so they were actually right.
I’m not sure this is entirely true. Many polls just look at the popular vote, but most of the polls that claim “chance of winning” take into account the EC.
538 had her going into the election with a 70% chance of winning the electoral college. Nate Silver also went on multiple shows basically doing everything he could to get people to understand that meant 3 out of 10 times she loses.
No, 538 (and RCP?) actually has a rolling projection of ‘real’ chance to win the EC. But the chances of Hillary declined from >90% to 70% in the last week or so. When she was >90% everybody would say it looked like she was going to win, and that’s what people remember.
It’s been awhile since I read anything about that, but it seems like the last time I read about it, was something along: “80% of polls have Hillary projected to win”, but the actual polls that they were using were all almost within the margin of error.
tl;dr 80% had Hillary winning by about 2-3%.
I understand the point you’re making about probabilities, but we’re speaking in the context of politics. Polls accurately predicted the results in 2008 and 2012. Something fundamentally changed in 2016, and the polls were off across the board.
And “polls were historically accurate” in 2022.
And in reality we are talking about an weighted error difference of about 1.3/1.5 points between 2008/2012 and 2016. It’s not like they got it massively wrong.
Pollsters gave Hillary a 90% chance to win, likely because of over-representation of college graduates in polling, as well as a late shift in support in swing states.
You said something changed, and then I showed how last election they were actually more accurate than in the past. And I already pointed out that they were “wrong” about 2016. So I’m not sure what your point is about this.