THE RESET // METRICS // QH-MET-028
ALL SYSTEMS NOMINAL ·
METRIC · ATTENTION HEALTH

Compulsion-Disorder Incidence (CDI)

The disease-incidence reading for attention — modeled prevalence of compulsive-use disorder across a population.

Attention HealthUnit: per 1k usersMonthly
Metric ID QH-MET-028 Abbreviation CDI Category Attention Health Unit per 1k users Frequency Monthly Source GOVERNOR · Harm & Wellbeing Classification INTERNAL // QUANTUM-ZONE-TASK-FORCE EYES-ONLY

Interpretation

This metric gauges the population-level quality of attention across monitored surfaces. A declining value signals that manipulative patterns are gaining ground faster than counter-patterns can neutralise them. Sustained drops below the warning band trigger GOVERNOR's automated escalation advisory, prompting the Steward to convene a threat review.

Formula

Estimated cases of clinically significant problematic use per thousand users, modeled from behavioral signatures.

Thresholds & Bands

BandRangeState
Low< 20ok
Elevated20-50warn
Epidemic> 50crit

Data Collection

DATA PIPELINE

Computed by GOVERNOR from its internal decision log and state tables. Values are deterministic — the same input state always yields the same reading.

GOVERNOR Behavior

AUTOMATED RESPONSE

Low (< 20): GOVERNOR logs the reading, updates the standing dashboard, and takes no further action. Elevated (20-50): GOVERNOR escalates to an advisory notification. The on-duty watch officer receives an alert, and the metric is flagged in the next Steward briefing if the condition persists for two consecutive reporting periods. Epidemic (> 50): GOVERNOR triggers an immediate escalation. The Steward is notified directly, the relevant department head is paged, and all related dashboards enter amber-alert mode until the reading recovers above the warning threshold.

Related Metrics

Cross-reference. Metric definitions feed the Platform Status board, the Live Command Wall, and the Directorate Analytics dashboard. Threshold violations are routed through the Alarm Escalation framework.
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