HARAN — Voluntary Obligation Modeling Processor
HARAN is the simulation engine that models recurring voluntary contribution behavior (such as tithing) under invariant conditions.
It does not collect.
It does not compel.
It does not persuade.
It models structural response to freedom.
Functional Scope
HARAN processes:
Contribution ratio (fixed vs variable share)
Cadence regularity
Retention half-life
Delay and interruption curves
Alignment persistence without narrative reinforcement
Behavior under zero-pressure conditions
It generates predictive maps of:
Trust durability
Obligation coherence
Drift under optional participation
Long-run sustainability of contribution systems
Structural Role in the Federation
If GNOMON calibrates reference,
If SEMAPHORE signals invariants,
If SOMBRA classifies authority,
HARAN models reciprocal value flow when participation is voluntary.
It asks:
Does contribution persist when extraction mechanisms are removed?
HARAN CLASS
HARAN receives unresolved claims, separates signal from narrative through disciplined internal review, confirms witness without forcing outcome, and releases authority only after truth has been properly seen.
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