Forgivable incorrectness

All models are wrong, but some incorrectness is forgivable.

In my view, good researches are not the ones that make no mistakes, but the ones that make forgivable mistakes.

Which mistakes are forgivable/unforgivable? This is what academic training does. The combination of the following two mistakes are unforgivable to me: (1) Making substantial restrictions without mentioning them; (2) Relaxing those assumptions are consequential to the research findings.

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