Electoral Insights (Part 1)
from Linear Digressions Hosted by Katie Malone
The first of our two-parter discussing the recent electoral data fraud case. The results of the study in question were covered widely, including by This American Life (who later had to issue a retraction). Data science for election research involves studying voters, who are people, and people are tricky to study—every one of them is different, and the same treatment can have different effects on different voters. But with randomized controlled trials, small variations from person to person can even out when you look at a larger group. With the advent of randomized experiments in elections a few decades ago, a whole new door was opened for studying the most effective ways to campaign.
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