ISS v1.0 · Public Intervention Simulator

See collapse before failure becomes visible.

Explore how resilience, margin, pressure, alignment, and divergence interact to create stable operation, hidden collapse, critical instability, and recovery. The simulator exposes dominant failure drivers, coupling effects, threshold timing, and intervention priority.

ISS
Stability Gap
Threshold
TMIT
Primary Driver
Risk
Immediate Action

ISS vs Pressure

Stability Gap

Drift vs Capacity

Driver Dominance

Intervention Timing Comparison

Model basis and validation record
ISS v1.0 baseline validation date: 2026-06-10
Validated features: ISS scoring, driver dominance detection, velocity metric, acceleration metric, coupling detection, intervention recommendation engine.
Controlled validation cases: Stable, Pressure Driven, Divergence Driven, Alignment Collapse, Coupled Failure. All recorded PASS.

Core relationships:
A_eff = alignment × resilience
C = resilience + margin
D = pressure + divergence + (1 − A_eff)
I = pressure(1 − resilience) + divergence(1 − A_eff) + pressure×divergence
S = C − D − I
ISS = 1 / (1 + exp(−4S))
Interactive modelNo external dataClient-side computation

This simulator is an analytical model for exploring system stability and intervention timing. It is not a prediction of any specific real-world system.