The tenants of superforecast accuracy are principally validated for geopolitcal forecasting. Do they generalise to forecasting more broadly?

Self-serving conclusions should have a higher bar.

Has it learned something true that holds in general, or only discovered patterns that hold within this data set? How can we be confident a model will work tomorrow when it is called upon to predict under unique circumstances never before encountered?

There is also dress-to-impress forecasting