Starting with:
1. From an analyst perspective, election data is trash.
1. Sampling as a science (polls) rely on a key assumption: the sample’s average is pretty close to the population’s average.
2. How you get that sample is uncontrollably biased.
3. Lol polls basically
22. American political discourse is horribly stunted by the political reality of two parties, and so is analytics, at least as of 5 years ago. Turns out fitting a model on “are you an R or a D?” blacks out a lot of gray that could be valuable.
Back to political data: if you imagine an X-Y axis of partisanship and turnout and accept that there’s a group of people you want to target to get them to vote...