fpf.tools
Library / First Principles Framework (FPF) - Core Conceptual Specification
Jump to passage
In this reading
Source · lines 35331–35340

Link to current text

Published source confirmed at last check

Source changed 2026-10-03 08:25:59 UTC · snapshot created 2026-10-03 08:26:43 UTC · last check 2026-10-03 10:00:09 UTC

A.19.UNM:6 - Bias‑Annotation

Common cognitive traps around normalization:

  • Normalization-as-truth bias: treating NCVs as “objective” instead of “objective under declared invariants and validity window”.
  • Hidden-steps bias: assuming normalization “happened somewhere” and skipping explicit routing/pins.
  • Unit-blindness: treating numeric sameness as semantic sameness.
  • Proxy legitimacy: assuming a popular method is legitimate without evidence pins or validity region.

Mitigation: enforce explicit NormalizationMethodInstance + validity window + evidence pins; and distinguish the directed output, optional classes and any separately justified operation or query on them.