The tower of polls, biases, weights, and corrections
No matter what poll-based content you read, you are not just reviewing what the data show. You are reading data, corrected for bias, weighted for lack of representation, scored for bias, aggregated, and then manipulated by a model. Each of these “corrections” is a human decision. These models are valuable, but they do not represent…