RMP.9:6 - Bias-Annotation

Statistical examples make numerical errors and comparison criteria easy to inspect. That convenience can obscure interpretive, historical and community research whose criticism takes another form. The unlike cases preserve those differences, but do not stand in for every field’s professional knowledge.

Method improvement can favour novelty, visible activity or readily counted gains. Retention and small corrections can receive less attention, while a cheap-exit preference can hide a genuine need for evidence. The relevant counterweight is the named research use, current alternatives, full burden and the limit on unsupported application.