# Gotcha!

**Gianluca Baio's blog**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

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*ie*that I’m not really claiming any “success” with this post. But I find it quite interesting that the estimations I produced with this very, very simple model turned out to be quite good.

In all states, the prediction was “correct” (in the sense that the right “colour” was estimated). In some cases, the observed results were a bit more extreme than the observed ones, *eg* in Washington (WA) the actual proportion of votes for Obama is substantially larger than predicted $-$ but this has no real consequences on the final estimation of the election results as WA was already estimated to be a safe democratic state; and this is true for all other under/over estimated cases.

My final estimation was that, based on the model, I was expecting Obama to get 304 EVs. At the moment, the Guardian is reporting 303 $-$ so pretty good!

But, as I said, this is really not to brag, but rather to reflect on the point that while the race was certainly close, it probably wasn’t as close as the media made it. Famously, Nate Silver gave Obama a probability of winning the election exceeding 80%, a prediction which has given rise to some controversy $-$ but he was spot on.

Also, I think it’s interesting that, at least in this case, the polls were quite representative of the “true” population and what most people said they would do was in fact very similar to what most people actually did.

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