Design for Known Variability

Updated: 2026.01.05 23D ago 1 sources
Rather than chasing perfect prediction of complex systems, public policy should identify the limited, high‑leverage regularities those systems exhibit (transmission pathways, failure envelopes, typical maxima) and design resilience around them: insulation (redundancy, barriers), monitoring (early warning), and modular responses (targeted mitigations). This shifts governance from forecasting perfection to bounding uncertainty and engineering durable systems that make unpredictable events survivable. — If adopted as a governance principle, it would change disaster planning, health policy, infrastructure permitting, and tech regulation by prioritizing robust, audit‑able interventions over futile prediction efforts.

Sources

How to tame a complex system
Jason Crawford 2026.01.05 100% relevant
Jason Crawford’s examples of weather (levees, insurance, climate‑controlled buildings), infectious disease (sanitation, vaccines, barriers) and his explicit reference to systems engineering and PRA illustrate the core move: exploit simple regularities and known variability rather than attempt full control.
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