How Analytical Models Failed Clinton [View all]
National Politics |By Charlie Cook, December 30, 2016
How Analytical Models Failed Clinton
This story was originally published on nationaljournal.com on December 27, 2016
"The November elections pitted Democrats against Republicans, conservatives against liberals, Trump-style populists and tea partiers against the establishment and conventional politicians. Another contest, followed mainly by political aficionados, matched traditional pollsters against newly fashionable analytics wizards, some of whompretentiously in my opinioncalled themselves data scientists.
It was well known that traditional polling was having problems. The numbing effect of billions of telemarketing calls and the advent of caller ID and voice mail had reduced response rates (the percentage of completed interviews for every hundred attempts) from the 40s a couple of decades ago to the high single digits. As they struggled to get truly representative samples, pollsters weighted their data more than ever before, making assumptions of what the electorate would look like on election days that were weeks, months, or even a year or more away. ........
...........Experienced journalists might argue that the overreliance by reporters on both polls and analytics has led to a decrease in shoe-leather, on-the-ground reporting that might have picked up movements in the electorate that the polls missed. As the Michigan results came in on election night, I vividly recalled that two congressmen from Michiganone a Democrat, the other a Republicanhad been warning me for months that Michigan was more competitive than publicly thought. I wished I had listened.
The analytical models for both sides pointed to a Clinton victory, albeit not a runaway. The Clinton campaign and super PACs had several of the most highly regarded polling firms in the Democratic Party, yet in the places that ended up mattering, very little if any polling was done. So while 2016 wasnt a victory for traditional polling, it certainly took a lot of the luster from analytics. In the end, big data mattered very little. ......"
http://cookpolitical.com/story/10205