I sometimes encounter a view that only perfect forecasting is really forecasting.
For example, if I claim that I have a model which forecasts election results, people will think I'm making the absurd claim that I can forecast election results with perfect accuracy. When I explain that my forecasts have errors but the errors are, say, 10% smaller than chance would suggest, I am told that I'm "not really" forecasting.
Is there a formal name for this fallacy? I know that this is a special case of a fallacy of equivocation, assuming the word forecast is being used colloquially when it is being used technically. But is there a more specific name?