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Normalcy bias

Curated Category: risk-perception

Assuming disruptive change is unlikely because current conditions feel normal.

The narrative downplays low-frequency high-impact risks and treats continuation of the present state as default even under warning signals.

Detection signals

  • Warning signals are reframed as temporary noise.
  • Continuity assumptions dominate risk framing.
  • Disruption scenarios are minimized without evidence.

Caution notes

  • Some systems are genuinely resilient and stable.
  • Mark bias only when disruption risk is systematically underweighted.

AI-generated domain examples

Generate illustrative examples for a selected domain/topic. Generated output is separated from canonical ontology content.

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