Yesterday’s analysis showed Sec. Hillary Clinton (D) leading Donald Trump (R) with 290 EVs to 248 EVs. If the election was held yesterday, we would expect Clinton to win with an 86.8% chance.
Since that analysis there have been about 28 new polls release that satisfy my inclusion criteria. I should point out, that the new polls include eight new polls from Remington Research (R) and four from Trafalgar Group (R). If the significance of this escapes you, read Goldy’s post.
One of the things I am going to do in this analysis is do two analyses: one with these two pollsters included, and one that excludes all Remington and Trafalgar polls. Pick the one you wish.
Which one is right? It is hard to say. I hate accusing a pollster of producing bogus polls. I’ve had numerous people complain about including this poll or that poll, and I ignore them. The entire premise of my effort is that by aggregating polls broadly, any “house effects” will cancel. But the oddities of Remington are clear. Trafalgar polls also seem quite dodgy.
Okay…Here we go. Scroll down or click here for the alternative analysis.
Today, after 100,000 simulated elections, Clinton wins 84,508 times and Trump wins 15,492 times (including the 2,449 ties). Clinton received (on average) 282 (-8) to Trump’s 256 (+8) electoral votes. In an election held now, Clinton would have a 84.5% probability of winning and Trump would have a 15.5% probability of winning. Thus, Clinton slips a bit, but the race isn’t changing much.
The long term trends in this race can be seen from a series of elections simulated every seven days using polls from 07 Nov 2015 to 07 Nov 2016, and including polls from the preceding ten days (FAQ).
An animated sequence of maps and electoral vote distributions can be seen here
Here is the distribution of electoral votes [FAQ] from the simulations:
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