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Proportionality bias

Curated Category: causal-attribution

Assuming major events must always have major intentional causes.

The narrative rejects mundane or distributed causes for high-impact events and gravitates toward concentrated intentional explanations.

Detection signals

  • Large-event/large-cause framing appears by default.
  • Randomness and systemic complexity are discounted.
  • Intentional coordination is inferred without strong evidence.

Caution notes

  • Major intentional causes sometimes do exist.
  • Mark bias when proportionality claim outruns available evidence.

AI-generated domain examples

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