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My pivot on polling math came from a 2016 county map
The 2018 midterm breakdowns made me rethink sample weighting entirely, but it was a single Senate race where the internals showed 18% undecided that flipped me. Those 'lean' voters decided the winner, and no topline number captured that. Ever found a hidden variable in a dataset that changed your take on everything?
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