How primary polls got it SO WRONG during the midterms
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0:00 Introducing Scott Tranter and the role of data science in election projections 3:03 The crisis in polling and the challenges of interpreting poll data 5:04 The decline of public polling and the rise of fraudulent polls 7:00 The impact of shrinking local journalism on polling quality 8:52 Criteria for evaluating a trustworthy state-level poll 10:00 The evolution of polling methods and the value of voter file data 11:00 How voter file polling ensures representative samples 12:00 The challenge of predicting voter turnout and weighting data 13:00 The difficulty of reaching working class voters and response bias 14:00 The cost of quality polling and the lack of incentive for public polls 15:00 The potential and pitfalls of AI in polling and synthetic polls 16:00 The enduring value of horse race polling and the appeal of competitive analysis
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