E.4.CM:4.8.6 - Bias-Annotation

Source familiarity, preference for a neat architecture and enthusiasm for pattern languages can bias all these judgments. Preserve the rival account and the cheaper direct route. AI-assisted recovery or comparison retains its model, input and interaction limits when they matter to the claimed result; fluency does not replace source access or independent use evidence.

Source prestige can hide a missing action; familiarity with the intended language can make its author privately supply an omitted join. Inspect what the receiving reader can actually recover from the allocated contribution and full suppliers. The constructed cases establish no population effect or universal advantage.