Intellectual Frontiers

Pattern

Dependency and Common Mode Failure map

This note finds that case accuracy does not predict population harm from a shared fault, so scaling should stop when one untested dependency can affect more outcomes than the organization can detect, contain and recover. The map gives the concentration and blast radius thresholds to check. Show which workers share models, sources, policies, tools, identities, vendors, and people so one fault cannot spread unseen.

Inputs

Worker roster, dependencies, integrations, shared policies, credentials, approvers, incidents, and outcome volumes.

Method

Map shared dependencies, fault types, detection, affected work, maximum cases before containment, authority reduction, and alternate paths.

Output

A concentration map with blast radius thresholds and drill cases.

Boundary

Case accuracy does not predict population harm from a shared fault.

Stop

Stop scaling when one untested dependency can affect more outcomes than the organization can detect, contain, and recover.

Related

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