Occam’s Razor

When multiple explanations fit the evidence, prefer the one with the fewest necessary assumptions.

Author

William of Ockham

Model type



Attributed to the 14th-century philosopher William of Ockham, and originally stated as “do not multiply entities beyond necessity.” When several explanations fit the facts, prefer the simplest that still explains the data.

How it works


Competing hypotheses: list explanations that account for the same facts.
Parsimony test: rank by assumptions/complexity (entities, parameters, ad hoc fixes).
Evidence first: only choose the simpler option if predictive adequacy is comparable.
Update: if residuals or new data expose gaps, add warranted complexity.

Use-cases


Root-cause analysis: avoid multi-factor just-so stories when one mechanism fits observed failures.
Model selection: analytics and forecasting; penalise complexity (AIC/BIC/MDL) to reduce overfitting.
Commercial narratives: diligence storylines and board papers—pick the leanest hypothesis consistent with facts.
Product/design: ship the minimal viable mechanism; defer optionality until validated.
Process and policy: streamline rules—remove steps that lack demonstrable risk reduction.

Pitfalls & Cautions


Simplest isn’t always true: prefer evidence over elegance.
Ambiguous “simplicity”: depends on description language; use explicit penalties (e.g. AIC/BIC) where possible.
Premature closure: don’t ignore hidden variables or non-linear interactions when data support them.
Overfitting by subtraction: oversimplified models can miss tail risks and regime changes.

Recent Mental Models

Click below to learn other mental models

  • The Idea Maze

    The Idea Maze

    Before building, map the space: the key forks, dead ends and dependencies—so you can choose a promising path and run smarter tests.

  • Thucydides Trap

    Thucydides Trap

    When a rising power threatens to displace a ruling power, fear and miscalculation can tip competition into conflict unless incentives and guardrails are redesigned.

  • Zero to One

    Zero to One

    Aim for vertical progress—create something truly new (0 → 1), not just more of the same (1 → n). Win by building a monopoly on a focused niche and compounding from there.