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19. Metrics That Actually Matter

Measure prevented harm and legitimate-user burden across the whole decision system.

Status: briefPart VIDecision: what to optimize

Reader outcome

Build a scorecard spanning harm, errors, friction, latency, recurrence, support, infrastructure, economics, and adaptation.

Candidate measures

Prevented harm, false-positive cost, appeal overturn, attacker replacement cost, legitimate-user friction, time to detection, time to intervention, recurrence, displacement, support burden, and defense cost.

Decision questions

  • What counterfactual establishes “prevented” harm?
  • Which metric becomes a target attackers or teams can game?
  • How are uncertainty and delayed outcomes represented?
  • Can aggregate success hide concentrated harm to a user group?

Evidence needed

  • Causal evaluation and experimentation methods
  • Metric gaming and feedback-loop cases
  • Trust-and-safety or fraud scorecards
  • Longitudinal displacement measurement