The Signal and the Noise: Why So Many Predictions Fail-but Some Don't

by Nate Silver

My general advice, in the broader context of forecasting, is to lean heavily toward the “bug” interpretation when your model produces an unexpected or hard-to-explain result. It is too easy to mistake noise for a signal.