The Moneyball Election
Everything about the 2016 presidential election will soon make sense. History will do its job and give us a useful narrative. There were few correct predictions about the outcome of the 2016 election. About half the population is content and the other half is livid. I don't think we've seen the last presidential election.
Big data is a big deal when it comes to presidential election campaigns. In the arms race for voters, the victors and their consultants only have 4 years before they go back into battle. While they're importance is often overstated, I am still a sucker for underdog data geek wins.
Obama's big data consultants were viewed as white knights and they rode their success into numerous consultancies hired by the Clinton campaign.
In 2016 they became the overpaid underachieving establishment outplayed by a team with half the budget. They did not hesitate to heap scorn on their opponents who clearly did not know how to run an election campaign. A Clinton loss was inconceivable.
I suggest reading Nate Silver's ongoing rehash of the 2016 presidential election (The Real Story of 2016). When it comes to big data interpretation, there isn't much room for ego. While many got the election outcome wrong, few have done the work to try to explain where they went wrong.
A Lot of People Are Saying Trump’s New Data Team Is Shady - August 15, 2016
Exclusive Interview: How Jared Kushner Won Trump The White House - November 22, 2016
The Real Story of 2016 - February 6, 2017