Since Hillary Clinton’s crushing defeat last week, there have been a lot of stories about Clinton campaign hubris. Specifically, the Democrats seemed to badly whiff on a lot of campaign fundamentals: don’t nominate someone under FBI investigation who has no retail political skills; have a clear message and policy agenda; know that there are more Democratic votes to be had in Michigan and Pennsylvania than Nebraska, and campaign accordingly. (And maybe work on get out the vote operations that don’t remind large percentages of Trump voters to go to the polls?)
But losing to a political novice with a 61 percent disapproval rating is no simple feat. Normal people can lose an election, but it turns out that it took a roomful of computer science Ph.Ds and statisticians to screw things up this badly:
