  We consider how to make probability forecasts of binary labels. Our main
mathematical result is that for any continuous gambling strategy used for
detecting disagreement between the forecasts and the actual labels, there
exists a forecasting strategy whose forecasts are ideal as far as this gambling
strategy is concerned. A forecasting strategy obtained in this way from a
gambling strategy demonstrating a strong law of large numbers is simplified and
studied empirically.
