Category: Modeling
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Reassessing 2020 Senate Races With Data-Driven Assessments Of Candidate Quality
When the pre-election discourse around candidate quality pops up, my mind always goes to the famous Arthur Conan Doyle saying of how “it’s easy to be wise after the event”. It sums it up more accurately than any of us would care to admit — pre-election polling numbers, vibes, and anecdotal stories often color our […]