Trust Cascade Failure Model

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  "title": "Trust Cascade Failure Model",
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  "dateCreated": "2026-02-15",
  "summary": "Models institutional trust as a network contagion problem, finding cascades become irreversible below 30-40% trust thresholds and that AI multiplies attack effectiveness 60-5000x while degrading defenses 30-90%. Current US institutions (media 32%, government 20%) are already in cascade-vulnerable states with 45-60% probability of media-initiated cascade over 5 years.",
  "description": "This model analyzes how institutional trust collapses cascade. It finds trust failures propagate at 1.5-2x rates in AI-mediated environments vs traditional contexts.",
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