Structural Fragility · 02
Roundel.
Non-linear breakpoint detection and ruin reverse-engineering. Instead of forecasting rare event probabilities, Roundel maps system responses under expanding stress and detects where structural resilience breaks.
Fragility Mapping & Reverse Stress Testing
Ruin events are too rare to statistically calibrate predictive models: claiming an exact probability for a black swan is an illusion. Roundel assumes the opposite: it applies stress multipliers (2x, 5x, 10x historical volatility) to exposures known today (energy costs, leverage, key supplier loss) and observes where response curves cease being linear and become concave.
That breaking point — not a predictive score — is the core output. In parallel, Roundel works backward from a declared ruin scenario («what would need to happen for this system to collapse completely?») to measure today's safety margin, even for scenarios never seen in historical data.
Recommendations operate via Via Negativa: removing single points of failure, reducing leverage, and diversifying concentration, rather than speculating on theoretical hedges for a forecasted risk.
Roundel Principles
No ordinary calibration ledger for ruin: confidence is built through contestable stress testing and a track record of weathering real shocks without collapse.
Non-Linear Stress Multipliers
Applies expanding stress to existing exposures to reveal where damage scales disproportionately relative to shock.
Reverse Stress Testing & Back-Engineering
Defines total ruin thresholds and calculates the required trajectory and margin from present state.
Via Negativa Interventions
Identifies dependencies to eliminate — vendor concentration, contractual rigidity, exposed leverage — building resilience without bloat.
The Integrated Architecture
Vektor calibrates probabilistic shapes of ordinary risk. Probe equips agents with cognitive imagination. Roundel maps extreme stress responses and eliminates structural fragility before ruin strikes.