Disaster Analysis

Documents ETOPS-240 aviation data showing twin-engine in-flight shutdown rates below 0.002 per 1,000 engine flight hours, establishing what separates high-SRR from low-SRR redundancy architecturally.

Dissects Boeing MCAS as a SRR < 1 case: a redundancy measure whose second sensor was eliminated to reduce complexity, guaranteeing that a single sensor failure would be catastrophic.

Analyses the Fukushima Daiichi disaster as a SRR ≈ 0 case: multiple redundant backup systems that all failed simultaneously because none were truly independent of the same failure mode.

Introduces the Safety Return on Redundancy metric using James Reason's Swiss Cheese model, revealing when redundancy genuinely protects and when it simply redistributes false assurance.

Exploring the history of the St. Lawrence Seaway and its role in unleashing invasive species that devastated the Great Lakes ecosystem, from sea lampreys to Asian carp.

At some system complexity level, every additional feature generates more failure modes than it closes — measured by the Complexity-Reliability Inversion Point.

Documents the organisations that enforce complexity budgets and architectural simplicity mandates, demonstrating that CRIP management is achievable as a design discipline rather than an accident.

Applies CRIP analysis to US hospital clinical protocol systems, showing that ICU alarm fatigue and medication error rates are measurable manifestations of protocol complexity exceeding its management envelope.

Examines how Linux, TCP/IP, and Git maintained sub-CRIP complexity through deliberate architectural choices that bounded module interaction — contrasted with equivalent monolithic systems.

Introduces the Complexity-Reliability Inversion Point and applies it to the NASA Shuttle specification and Boeing 737 MAX MCAS, establishing the meta-pattern of CRIP-crossing disasters.