Bonini's Paradox
Updated 2026-08-01
INTRODUCTION
English translation pending.
CORE DEFINITION
Named after Stanford professor Charles Bonini, who described the tension in the 1960s. The paradox holds that a model simple enough to be understood is too simplified to be faithful, while a model faithful enough to capture reality is too complex to be understood. Complexity and comprehensibility trade off directly. The implication is that every model must deliberately choose its level of abstraction according to the question it is built to answer.
SCAFFOLDING EFFECT
Reduce cognitive load
- Scope a model: state the decision question first, then admit only the variables that question requires - Resist bloat: treat each added parameter as a cost paid in explainability - Explain failures: use the paradox to show why a faithful simulation cannot also serve as a clear explanation
Anchor fast decisions
A model earns its value by discarding detail. Every detail restored improves fidelity and consumes some of the comprehensibility that made the model useful. Past a certain point the model reproduces the system's own complexity, so understanding it demands the same effort as understanding the system, and it adds nothing but computation cost.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Bonini's_paradoxverified
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