> in particular I oppose overloading a perfectly well defined and clear statistical term. The overloading happened the other way around... > What benefit do

> in particular I oppose overloading a perfectly well defined and clear statistical term. The overloading happened the other way around... > What benefit do we gain when other people can't even understand the words we use? Similarly, what benefit do we gain when we use a term of art in settings where most of the audience doesn't have the technical background to be quite sure what they're even discussing? Also, there is a notion that's distinct from statistical bias and that is highly political and controversial. Today we can say "bias" and most everyone will know we're talking about that topic. Whatever word or phrase we use in place of "bias" will be just as muddy and ill-defined. And probably some mathematician will come along and build some incomplete model and name if after that new word. And then we'll have this conversation again. The problem you're trying to avoid is unavoidable.