Anyway, we gave an almost perfect prediction! Not just a Trump victory, but also all the key swing states (PA, FL, NC, OH), and even that Hillary could get more votes but lose the electoral college vote.

Here are our results as I presented them in a Facebook post on the eve of the election:

For a more detailed explanation read our blog. The method is described there in greater detail, plus we call all the states.

The story got covered first by the academic sources. My own University of Oxford published it as part of their main election coverage, as did my alma mater, LSE on their EUROPP blog.

More news coverage soon to come!

Details of our prediction 

The results nevertheless came as an absolute shock to many, but it was the pollsters that took the biggest hit. All the major poll-based forecasts, a lot of models, the prediction markets, even the superforecaster crowd all got it wrong (we have summarized their predictions here). They estimated high probabilities for a Clinton victory, even though some were more careful than others in claiming that the race will be very tight. 

Our prediction survey, on the other hand, was spot on! We (by that I mean Oraclum Intelligence Systems) predicted a Trump victory, and we called all the major swing states in his favour: Pennsylvania (which no single pollster gave to him), Florida, North Carolina, and Ohio. We gave Virginia, Nevada, Colorado, and New Mexico to Clinton, along with the usual Red states and Blue states to each. We only missed three – New Hampshire, Michigan, and Wisconsin (although for Wisconsin we didn’t have enough survey respondents to make our own prediction so we had to use the average of polls instead). Therefore the only misses of our method were actually Michigan, where it gave Clinton a 0.5 point lead, and New Hampshire where it gave Trump a 1 point lead. Every other state, although close, we called right. For example in Florida we estimated 49.9% to Trump vs. 47.3% to Clinton. In the end it was 49.1 to 47.7. In Pennsylvania we have 48.2% to Trump vs. 46.7 for Clinton (it was 48.8. to 47.6. in the end). In North Carolina our method said 51% to Trump vs. 43.5% for Clinton (Clinton got a bit more, 46.7, but Trump was spot on at 50.5%). Our model even gave Clinton a higher chance to win the overall vote share than the electoral vote, which also proved to be correct. Overall for each state, on average, we were right within a single percentage point margin. Read the full prediction here.

It was a big risk to ‘swim against the current’ with our prediction, particularly in the US where the major predictors and pollsters were always so good at making correct forecasts. But we were convinced that the method was correct even though it offered, at first glance, very surprising results.

The graphics

Here is our final map:

For the swing states:

Pretty good, right?